{"meta":{"query_hash":"83c5304a35da","filters":{"topic":"Digital Radiography and Breast Imaging"},"cohort_total":604,"direct_labels_cover":2,"predictions_cover":604,"exported":604,"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/83c5304a35da","api":"https://metacan.xera.ac/api/v1/cohort?topic=Digital+Radiography+and+Breast+Imaging"},"results":[{"id":"W127498844","doi":"10.1055/s-2008-1027847","title":"Kompression digitaler Bilddaten in der Radiologie – Ergebnisse einer Konsensuskonferenz","year":2008,"lang":"de","type":"article","venue":"RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gynecology; Medicine; Physics","score_opus":0.04141842523908563,"score_gpt":0.28744562115291394,"score_spread":0.24602719591382832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W127498844","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1507054,0.7325083,0.027517153,0.026210496,0.0057395734,0.0074590817,0.0018812957,0.0005489598,0.047429733],"genre_scores_gemma":[0.34755546,0.49582452,0.11269413,0.007595499,0.0018148615,0.006364909,0.0067399554,0.0005823924,0.020828297],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97266227,0.016465662,0.0036923955,0.00071548444,0.0057163634,0.00074783876],"domain_scores_gemma":[0.96411085,0.016314132,0.0033765454,0.002424871,0.012977017,0.0007966424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05174086,0.0016684836,0.0010805797,0.0023587628,0.00070869445,0.0024047513,0.0015057771,0.0013716259,0.00581049],"category_scores_gemma":[0.048834138,0.00045399318,0.0025982638,0.0021412536,0.0012050167,0.0016718506,0.0027196761,0.0021713225,0.0032081432],"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":[0.0019587537,0.00073239877,0.0034102222,0.006480574,0.00082797935,0.00021624196,0.0016550991,0.0025399372,0.0026145587,0.002691399,0.015415961,0.96145684],"study_design_scores_gemma":[0.0024987857,0.009015515,0.09941444,0.09851836,0.008230528,0.0034983447,0.0051096007,0.006816278,0.05214472,0.011891508,0.7024071,0.00045482823],"about_ca_topic_score_codex":0.0037364156,"about_ca_topic_score_gemma":0.0028661555,"teacher_disagreement_score":0.05174086,"about_ca_system_score_codex":0.0028310055,"about_ca_system_score_gemma":0.00492308,"threshold_uncertainty_score":0.2736351},"labels":[],"label_agreement":null},{"id":"W1483297000","doi":"10.1118/1.4924048","title":"SU-E-I-51: Quantitative Assessment of X-Ray Imaging Detector Performance in a Clinical Setting - a Simple Approach Using a Commercial Instrument","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Detective quantum efficiency; Detector; Optics; Optical transfer function; X-ray detector; Nuclear medicine; Digital radiography; Radiography; Image quality; Medical physics; Physics; Medicine; Computer science; Radiology; Artificial intelligence; Image (mathematics)","score_opus":0.08447962205443017,"score_gpt":0.3919644536764878,"score_spread":0.30748483162205764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1483297000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6056888,0.019223375,0.35702434,0.00036568483,0.00020847612,0.0008316207,0.001200595,0.0034080197,0.012049034],"genre_scores_gemma":[0.7519458,0.0026751647,0.23895691,0.00023402194,0.000053683605,0.00042408504,0.0011695826,0.00031552045,0.004225304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963052,0.0009678928,0.0003386631,0.0006955009,0.001569859,0.00012291443],"domain_scores_gemma":[0.9959369,0.0018521328,0.00045432858,0.0005419652,0.0010755793,0.00013911545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050056726,0.00074759504,0.00091669493,0.0018133767,0.0002485882,0.0012693312,0.0010043838,0.0015538017,0.0024519092],"category_scores_gemma":[0.005839645,0.0005801191,0.00043936147,0.0011960941,0.00071992876,0.0009111371,0.0006754343,0.00056748907,0.0011697292],"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":[0.0010321616,0.00016885296,0.015677767,0.00065100385,0.00012533544,0.0002405074,0.00014487786,0.00067439233,0.92700803,0.00030902412,0.00049639196,0.053471707],"study_design_scores_gemma":[0.000079510406,0.002328897,0.07704453,0.0001025043,0.0003323901,0.0044101463,0.00020564668,0.019141406,0.88981575,0.0002053762,0.006217082,0.000116670155],"about_ca_topic_score_codex":0.00071009895,"about_ca_topic_score_gemma":0.0011157284,"teacher_disagreement_score":0.0050056726,"about_ca_system_score_codex":0.0004898618,"about_ca_system_score_gemma":0.00043078224,"threshold_uncertainty_score":0.026472867},"labels":[],"label_agreement":null},{"id":"W1500595217","doi":"","title":"Thickness dependence of electron transport in amorphous selenium for use in direct conversion flat panel X-ray detectors","year":2013,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electron; Flat panel detector; Electron mobility; Photoconductivity; Materials science; Amorphous solid; X-ray detector; Detector; Optoelectronics; Optics; Flat panel; Electric field; Range (aeronautics); Physics; Chemistry","score_opus":0.009220236486150132,"score_gpt":0.16745101350899347,"score_spread":0.15823077702284333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500595217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978181,0.00030527462,0.00096191204,0.000014503087,0.0000066799666,0.000014550856,0.00013733467,0.000033872268,0.0007078339],"genre_scores_gemma":[0.99689555,0.00033718007,0.0013655135,0.000012117564,0.0000014942639,0.000012935939,0.0001327759,0.0000131155375,0.0012292763],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999874,0.000015024226,0.000010676514,0.000027531534,0.00004722326,0.000025494628],"domain_scores_gemma":[0.9994141,0.0001916169,0.00008981203,0.000047249865,0.00022239504,0.000034759618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029419293,0.00018862741,0.000120334014,0.00023273364,0.0001736052,0.0005109191,0.00028531736,0.00020755532,0.0012877954],"category_scores_gemma":[0.0008045228,0.00017862744,0.000097519456,0.00023513222,0.00012197112,0.000250562,0.00015190493,0.00018265253,0.0003032592],"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":[0.000074246964,0.00001097804,0.0015229216,0.000024777055,0.0000058599094,0.000071750605,0.000033205804,0.00016369006,0.9966642,0.000026462892,0.00002707678,0.0013749026],"study_design_scores_gemma":[0.0000052926175,0.0002197627,0.014454498,0.000007716725,0.000013463021,0.00008499922,0.00010173539,0.00097290875,0.98371845,0.00001447507,0.00040149654,0.000005270898],"about_ca_topic_score_codex":0.0023385186,"about_ca_topic_score_gemma":0.004574587,"teacher_disagreement_score":0.0023385186,"about_ca_system_score_codex":0.00033026512,"about_ca_system_score_gemma":0.0002034487,"threshold_uncertainty_score":0.004649818},"labels":[],"label_agreement":null},{"id":"W1526348192","doi":"10.1007/978-1-60327-492-0_15","title":"Mammographic Density: A Heritable Risk Factor for Breast Cancer","year":2008,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":114,"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 Sciences Centre; Sunnybrook Health Science Centre; Hospital for Sick Children; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Breast cancer; Medicine; Cancer; Oncology; Internal medicine; Mammography","score_opus":0.044743228650544815,"score_gpt":0.4361555219320246,"score_spread":0.3914122932814798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526348192","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016829802,0.9978969,0.00017082039,0.0004200733,0.00012974799,0.000003693942,0.000027039623,0.000010425946,0.0011730152],"genre_scores_gemma":[0.0011176709,0.9976411,0.00015456894,0.000134674,0.00016160311,0.000005270669,0.00004134391,0.0000012389618,0.0007425658],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980193,0.000033300374,0.000022883278,0.00004981388,0.00007827711,0.000013829597],"domain_scores_gemma":[0.9997578,0.00010823575,0.00003793447,0.000008623477,0.00006477145,0.000022710434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045806155,0.0010319022,0.0016534147,0.0021658877,0.0002425164,0.00064663176,0.0008006755,0.0010923595,0.0035764992],"category_scores_gemma":[0.00077487325,0.00025410287,0.00035690377,0.0023349258,0.0006792134,0.00089151185,0.00044869847,0.0012415537,0.0027340748],"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":[0.00006034838,0.00005774761,0.0010458226,0.00494348,0.00009718778,0.00023346132,0.00004212899,0.00023458972,0.0006116702,0.0019975507,0.030115,0.96056086],"study_design_scores_gemma":[0.000024623974,0.00009511163,0.008752214,0.0038955864,0.00019210622,0.0054289447,0.00010552294,0.00015498004,0.00053228915,0.0035984747,0.9771842,0.000035965662],"about_ca_topic_score_codex":0.0024399373,"about_ca_topic_score_gemma":0.0022158762,"teacher_disagreement_score":0.0035764992,"about_ca_system_score_codex":0.00061026274,"about_ca_system_score_gemma":0.00065401255,"threshold_uncertainty_score":0.01196456},"labels":[],"label_agreement":null},{"id":"W1532410629","doi":"10.2196/mhealth.4271","title":"Selection and Pilot Implementation of a Mobile Image Viewer: A Case Study","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multimedia; Computer science; Usability; Mobile device; World Wide Web; Human–computer interaction","score_opus":0.06250839565369855,"score_gpt":0.4313980317012614,"score_spread":0.36888963604756286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532410629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99112797,0.00027380587,0.0033800357,0.0014031613,0.00007017887,0.000320987,0.00004822109,0.00007046793,0.0033051507],"genre_scores_gemma":[0.9910165,0.0004686726,0.005237187,0.0008695063,0.000112124784,0.0001900962,0.00007959759,0.000081964834,0.0019443678],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.99630713,0.0015601562,0.00035647152,0.0005324586,0.00062854873,0.0006152671],"domain_scores_gemma":[0.99081147,0.004125458,0.0013611604,0.00060501293,0.00095382537,0.0021431271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027513704,0.001016504,0.00047121977,0.0011116025,0.002428756,0.0016967286,0.0017371097,0.002968189,0.002596038],"category_scores_gemma":[0.019931894,0.00078542304,0.00072416576,0.0007792068,0.0014087316,0.001667295,0.0014868001,0.0023218666,0.00093274575],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005374078,0.0039610625,0.19630852,0.00037934456,0.000053296735,0.7012604,0.042308792,0.00068257505,0.005705171,0.0009809817,0.0040757386,0.043746714],"study_design_scores_gemma":[0.0001620372,0.0074565774,0.087526225,0.00036540872,0.00011061681,0.8264459,0.045875397,0.0049976874,0.008461484,0.0007098822,0.017708728,0.00018009689],"about_ca_topic_score_codex":0.004745785,"about_ca_topic_score_gemma":0.008457703,"teacher_disagreement_score":0.004745785,"about_ca_system_score_codex":0.0019385603,"about_ca_system_score_gemma":0.0015728028,"threshold_uncertainty_score":0.014550805},"labels":[],"label_agreement":null},{"id":"W1555940175","doi":"10.1016/j.jmir.2015.01.109","title":"Examining Practitioners' Assessments of Perceived Aesthetic and Diagnostic Quality of High kVp–Low mAs Pelvis, Chest, Skull, and Hand Phantom Radiographs","year":2015,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fanshawe College; Western University","funders":"London Health Sciences Centre","keywords":"Radiography; Pelvis; Medicine; Imaging phantom; Image quality; Skull; Radiology; Nuclear medicine; Medical physics; Surgery; Artificial intelligence; Computer science; Image (mathematics)","score_opus":0.04245232672940893,"score_gpt":0.36405187391399935,"score_spread":0.32159954718459044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555940175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743146,0.00027051521,0.00044176384,0.00021432848,0.000008171547,0.000018027116,0.000027122287,0.0000065727145,0.0015819687],"genre_scores_gemma":[0.9982969,0.00016675155,0.0010763806,0.00008372497,0.0000069531516,0.000008955857,0.00002075036,0.0000029209205,0.00033670285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970246,0.00116055,0.00031502236,0.0001899233,0.001120456,0.0001895755],"domain_scores_gemma":[0.9699183,0.017604554,0.0056625134,0.0007248431,0.00502298,0.0010667986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006338822,0.00018419509,0.00018787515,0.0012452032,0.00039085883,0.0007226418,0.00032316372,0.0007060694,0.0024385497],"category_scores_gemma":[0.041574646,0.00028613408,0.00032564718,0.00051137607,0.0005780306,0.00061782834,0.0009985537,0.0005959941,0.00018189287],"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":[0.0008721429,0.00038027577,0.8593406,0.00041152234,0.00015656417,0.000902844,0.06550415,0.0005916209,0.011177091,0.00033859574,0.0009961965,0.05932834],"study_design_scores_gemma":[0.0000729646,0.002116276,0.9139551,0.00030038616,0.00013682795,0.004310682,0.069247596,0.0024044751,0.0017060789,0.00034966177,0.005318955,0.000081037884],"about_ca_topic_score_codex":0.002625497,"about_ca_topic_score_gemma":0.0060406043,"teacher_disagreement_score":0.006338822,"about_ca_system_score_codex":0.00069874694,"about_ca_system_score_gemma":0.00051702355,"threshold_uncertainty_score":0.03352326},"labels":[],"label_agreement":null},{"id":"W1566186431","doi":"10.1158/1538-7445.sabcs14-p4-04-14","title":"Abstract P4-04-14: High mammographic density is associated with deposition of organised fibrillar collagen and increased stiffness in periductal breast stroma","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Digital Radiography and Breast Imaging","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":"Health Sciences Centre","funders":"","keywords":"Collagen fibril; Stroma; Breast tissue; Trichrome; Stromal cell; Breast cancer; Connective tissue; Pathology; Materials science; Hard tissue; Medicine; Anatomy; Chemistry; Staining; Cancer; H&E stain; Immunohistochemistry; Internal medicine; Dentistry","score_opus":0.03129289899717937,"score_gpt":0.3101914529460003,"score_spread":0.27889855394882096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566186431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827075,0.00011834197,0.0003195578,0.00006730028,0.000009633809,0.000017451996,0.00054692186,0.000019473138,0.0006306175],"genre_scores_gemma":[0.99679476,0.000060916438,0.00049009797,0.000035388923,0.000026167174,0.000028116041,0.0007698519,0.000010757428,0.0017838967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998884,0.000025626287,0.000012169556,0.000030084855,0.000025145566,0.000018601697],"domain_scores_gemma":[0.9995072,0.00010367845,0.00019191456,0.000031731244,0.000054705924,0.000110813366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025043113,0.00023795268,0.00026024127,0.00048809737,0.00022694965,0.00033575366,0.00022146304,0.000381706,0.009433584],"category_scores_gemma":[0.0006065319,0.00017026045,0.00019378272,0.00040726957,0.00027571854,0.00012989712,0.00028779422,0.00023406929,0.0011261989],"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":[0.0041822316,0.00036040042,0.79486316,0.00018206121,0.00009303327,0.0023433191,0.00020833049,0.00012015817,0.1851203,0.00009717888,0.0016784753,0.010751332],"study_design_scores_gemma":[0.0000329615,0.0005613762,0.9866236,0.0000069875487,0.000030022722,0.004101272,0.000091138165,0.00014174232,0.0076739304,0.000044343335,0.0006881829,0.000004525449],"about_ca_topic_score_codex":0.0006515178,"about_ca_topic_score_gemma":0.00038290795,"teacher_disagreement_score":0.009433584,"about_ca_system_score_codex":0.000101495694,"about_ca_system_score_gemma":0.00013720906,"threshold_uncertainty_score":0.031558514},"labels":[],"label_agreement":null},{"id":"W1603120194","doi":"10.1118/1.4921069","title":"Radiation doses in volume-of-interest breast computed tomography-A Monte Carlo simulation study","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Research Council Canada; University of Texas MD Anderson Cancer Center","keywords":"Monte Carlo method; Computed tomography; Medical physics; Computed tomography laser mammography; Nuclear medicine; Radiation dose; Medicine; Radiology; Preclinical imaging; Mathematics; Statistics","score_opus":0.04351073739490215,"score_gpt":0.3048878411337321,"score_spread":0.26137710373882994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603120194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87473726,0.0015989239,0.11266923,0.00043066868,0.000046182176,0.0002606367,0.0005916662,0.0006085839,0.009056893],"genre_scores_gemma":[0.9745535,0.00035068145,0.023409951,0.000107943706,0.000009118584,0.00013085702,0.00030999136,0.00011921918,0.0010087402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995753,0.00019858935,0.000019609357,0.000050181996,0.00011298792,0.000043257274],"domain_scores_gemma":[0.9952271,0.003762316,0.00035084444,0.00018419724,0.0003883046,0.00008730986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013172708,0.0004807649,0.00060098927,0.00083131273,0.00039732273,0.0006905082,0.00093336584,0.0010519972,0.0010713347],"category_scores_gemma":[0.004707552,0.00055831706,0.00086917734,0.00087456725,0.0004438478,0.00042195967,0.00032617603,0.00052272505,0.00018194456],"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":[0.00008995056,0.000053115236,0.003386697,0.000033982305,0.000034962522,0.0000686878,0.00003042119,0.99302495,0.00078037084,0.0006988458,0.00013062166,0.0016674048],"study_design_scores_gemma":[0.000027286096,0.00005541406,0.000935218,0.000011839882,0.000024336689,0.00007788416,0.000011680212,0.99657094,0.0015916167,0.0003101132,0.00037391137,0.000009825412],"about_ca_topic_score_codex":0.011172651,"about_ca_topic_score_gemma":0.0054887333,"teacher_disagreement_score":0.011172651,"about_ca_system_score_codex":0.001712939,"about_ca_system_score_gemma":0.00080039544,"threshold_uncertainty_score":0.022215247},"labels":[],"label_agreement":null},{"id":"W1605735728","doi":"10.1186/bcr1655","title":"Common genetic variation in IGF1, IGFBP-1, and IGFBP-3 in relation to mammographic density: a cross-sectional study","year":2007,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Haplotype; Breast cancer; Single-nucleotide polymorphism; Genotype; MAMMOGRAPHIC DENSITY; Mammography; Genetic variation; Medicine; Heritability; Genetic association; Oncology; Genetics; Biology; Internal medicine; Cancer; Gene","score_opus":0.04065665685690689,"score_gpt":0.3944767071853297,"score_spread":0.3538200503284228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605735728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992994,0.000093719646,0.00020571293,0.000017189835,0.0000043202526,0.000009419747,0.00022365965,0.0000022049326,0.00014432776],"genre_scores_gemma":[0.99923193,0.000046847923,0.00024932326,0.00003387898,0.0000068331406,0.000013092651,0.00026290372,0.0000019914173,0.00015328634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999549,0.00014407482,0.00003836011,0.00017081396,0.000058974336,0.00003873515],"domain_scores_gemma":[0.9988714,0.0003015076,0.000308247,0.00017004437,0.00013665977,0.0002120208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007992857,0.00031874925,0.00029787893,0.00036603273,0.00043694646,0.0003968229,0.00028875918,0.00042512934,0.0015815761],"category_scores_gemma":[0.001628335,0.00039207784,0.00032972777,0.00055122364,0.00028478852,0.00018967799,0.00030652055,0.0004077416,0.00021137786],"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":[0.0002053327,0.00006189424,0.99737346,0.000008973586,0.00021100824,0.00008678089,0.00013162853,0.000037133806,0.0011311494,0.000022567941,0.000070010734,0.00066004635],"study_design_scores_gemma":[0.000015064382,0.000107669875,0.9992304,0.0000031124605,0.000067258676,0.00022017148,0.00005263364,0.000116239506,0.000072308554,0.000016446005,0.000096663425,0.0000021061887],"about_ca_topic_score_codex":0.006568903,"about_ca_topic_score_gemma":0.0062418003,"teacher_disagreement_score":0.006568903,"about_ca_system_score_codex":0.00016639713,"about_ca_system_score_gemma":0.00019085265,"threshold_uncertainty_score":0.013061345},"labels":[],"label_agreement":null},{"id":"W1679163130","doi":"10.1186/s13058-015-0591-2","title":"Identification of two novel mammographic density loci at 6Q25.1","year":2015,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Cancerfonden; McGill University; Génome Québec; Ovarian Cancer Research Fund; National Cancer Institute; National Institutes of Health; Cancerföreningen i Stockholm; Vetenskapsrådet; Cancer Research UK; Breast Cancer Research Foundation","keywords":"Breast cancer; Tamoxifen; Single-nucleotide polymorphism; Genetics; Biology; Medicine; Oncology; Internal medicine; Cancer; Genotype; Gene","score_opus":0.08634820913442395,"score_gpt":0.4015103068615879,"score_spread":0.31516209772716397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1679163130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773423,0.011689643,0.004833154,0.0010090767,0.00024047762,0.000079344674,0.0027113166,0.0001737356,0.0019210204],"genre_scores_gemma":[0.9904819,0.0012591374,0.0042165522,0.0003592811,0.00013997608,0.00006385603,0.002284686,0.000023123966,0.0011716271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993099,0.00008282878,0.000046277,0.00034773053,0.00015201062,0.00006128649],"domain_scores_gemma":[0.99870086,0.00048968545,0.00048308796,0.000104142004,0.00009217033,0.00013000665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088665227,0.0011497868,0.0010253423,0.0016432343,0.0005390512,0.0012347844,0.001301287,0.001643242,0.003938386],"category_scores_gemma":[0.0024825188,0.00038862904,0.0015978006,0.0017424171,0.00051006704,0.00021944477,0.0006526777,0.0008492104,0.000472753],"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":[0.007853335,0.0005018411,0.7386615,0.0019261162,0.00838661,0.029061992,0.0010902132,0.0028556397,0.12667069,0.003009298,0.0055432925,0.0744395],"study_design_scores_gemma":[0.0013774441,0.0008791228,0.94313294,0.00030446672,0.0059865587,0.019416649,0.00025820785,0.0033926158,0.0119130295,0.0026844647,0.010554013,0.00010044336],"about_ca_topic_score_codex":0.002609358,"about_ca_topic_score_gemma":0.002831995,"teacher_disagreement_score":0.003938386,"about_ca_system_score_codex":0.00036151632,"about_ca_system_score_gemma":0.00034233247,"threshold_uncertainty_score":0.0131751895},"labels":[],"label_agreement":null},{"id":"W1849982166","doi":"10.1117/1.jmi.3.1.011004","title":"Consistency of visual assessments of mammographic breast density from vendor-specific “for presentation” images","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Digital Radiography and Breast Imaging","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":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Medicine; Mammography; Confidence interval; Presentation (obstetrics); Medical physics; Breast cancer; Consistency (knowledge bases); Visual inspection; Vendor; Breast imaging; Radiology; Nuclear medicine; Artificial intelligence; Cancer","score_opus":0.02717679340584257,"score_gpt":0.35254935707731755,"score_spread":0.325372563671475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849982166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741402,0.0011267024,0.020861639,0.00006821522,0.00006805134,0.00012743431,0.00027492282,0.00019686483,0.0031360497],"genre_scores_gemma":[0.9927573,0.000110733476,0.006500309,0.000030985102,0.000022901606,0.000037262278,0.00027744225,0.000038197693,0.00022469158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9713064,0.013613122,0.0040497654,0.003180506,0.0074232607,0.00042702883],"domain_scores_gemma":[0.8890963,0.07142447,0.012570041,0.0098694535,0.016578168,0.00046151024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02741893,0.0003297089,0.00050095125,0.002029281,0.00032265944,0.0013628094,0.0006756181,0.00043549435,0.00056372077],"category_scores_gemma":[0.10701547,0.0003618861,0.0004821732,0.0010090681,0.00078085845,0.0009994764,0.0012015931,0.00035296753,0.00026212932],"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":[0.0024513486,0.00017763217,0.8488372,0.00068583403,0.0015890072,0.00017115039,0.005089429,0.0020277344,0.015639964,0.0005893327,0.0010442926,0.12169717],"study_design_scores_gemma":[0.00006639277,0.0010231653,0.9743381,0.00009701081,0.00033176795,0.0013536583,0.0011103749,0.0052673165,0.013303549,0.00084833906,0.0021604628,0.00009985877],"about_ca_topic_score_codex":0.0007855686,"about_ca_topic_score_gemma":0.001112813,"teacher_disagreement_score":0.02741893,"about_ca_system_score_codex":0.0004041689,"about_ca_system_score_gemma":0.00026587362,"threshold_uncertainty_score":0.1450069},"labels":[],"label_agreement":null},{"id":"W1890436050","doi":"10.1109/iembs.1993.978421","title":"Image acquisition and display considerations for digital mammography","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Computer science; Digital mammography; Mammography; Computer vision; Computer graphics (images); Artificial intelligence; Medicine; Breast cancer","score_opus":0.009189186123597565,"score_gpt":0.25339267428045903,"score_spread":0.24420348815686146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890436050","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.117018595,0.055753905,0.70263666,0.057854135,0.0028720521,0.00056840875,0.0010188209,0.0048953984,0.057382084],"genre_scores_gemma":[0.30893853,0.015907595,0.64990264,0.0070912554,0.0031519562,0.00024795008,0.00054796034,0.0019923795,0.012219678],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99770015,0.00080204644,0.00030121207,0.00013619421,0.0009414947,0.0001188833],"domain_scores_gemma":[0.9811668,0.014496264,0.0005628407,0.00064826454,0.002606,0.00051985943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038337724,0.00063279906,0.00067028374,0.002061349,0.0011433286,0.003912106,0.0013359339,0.0032067846,0.013093015],"category_scores_gemma":[0.02614891,0.0009679138,0.000701412,0.001270052,0.00068751205,0.0025261382,0.0014367637,0.0020925794,0.002961574],"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":[0.004425716,0.00023599865,0.018166471,0.0029036154,0.00011581313,0.013158845,0.0015591547,0.0056476793,0.1858615,0.023130575,0.03582084,0.7089738],"study_design_scores_gemma":[0.00055031263,0.0026301038,0.09807379,0.0028977806,0.0012240045,0.2566605,0.003299616,0.081227824,0.1579155,0.038081788,0.3567532,0.0006855764],"about_ca_topic_score_codex":0.0013778849,"about_ca_topic_score_gemma":0.0034615758,"teacher_disagreement_score":0.013093015,"about_ca_system_score_codex":0.00073876325,"about_ca_system_score_gemma":0.0009399622,"threshold_uncertainty_score":0.043800533},"labels":[],"label_agreement":null},{"id":"W1929885196","doi":"10.1109/ccece.2004.1349743","title":"Custom column readout circuitry to extend the dynamic range of a-Si:H current mediated pixel amplifiers for large area diagnostic X-ray imaging applications","year":2004,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Pixel; Fluoroscopy; Dynamic range; Amplifier; Image resolution; Wide dynamic range; Optics; Digital radiography; Noise (video); Image sensor; Physics; Optoelectronics; Materials science; Radiography; Computer science; Artificial intelligence; CMOS; Image (mathematics)","score_opus":0.012394234209624646,"score_gpt":0.2826665911001693,"score_spread":0.27027235689054463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1929885196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5798965,0.0018794117,0.3962383,0.0005462613,0.0007042172,0.0009604508,0.00089395716,0.00881282,0.010068001],"genre_scores_gemma":[0.73657185,0.0007812599,0.2401939,0.0007413133,0.00018880455,0.0005053698,0.00060004933,0.00051788497,0.01989964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997639,0.000018991757,0.000023638171,0.000074476535,0.00008788176,0.000031192718],"domain_scores_gemma":[0.999413,0.0002077442,0.000110449284,0.00008314109,0.00014444343,0.000041292198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027317053,0.0005375512,0.00022992503,0.00019947372,0.000157209,0.00059037976,0.001177617,0.00056482997,0.005785864],"category_scores_gemma":[0.0006309042,0.0002970593,0.00023794906,0.00018207732,0.00021817091,0.00053534866,0.0002804213,0.0005932791,0.0016232708],"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":[0.00011068444,0.000055664343,0.00026397678,0.00010217541,0.000013514339,0.00007803131,0.00003055068,0.00024263568,0.98556024,0.0002912478,0.00043946918,0.012811806],"study_design_scores_gemma":[0.000025288178,0.00037218392,0.001500344,0.000007381603,0.00003662069,0.000386537,0.000012186292,0.0044489116,0.98407227,0.00007107093,0.009046581,0.000020610065],"about_ca_topic_score_codex":0.00034418874,"about_ca_topic_score_gemma":0.00084106484,"teacher_disagreement_score":0.005785864,"about_ca_system_score_codex":0.00022248147,"about_ca_system_score_gemma":0.0002252915,"threshold_uncertainty_score":0.019355595},"labels":[],"label_agreement":null},{"id":"W1945994099","doi":"10.1007/s10549-015-3622-x","title":"Digital versus screen-film mammography: impact of mammographic density and hormone therapy on breast cancer detection","year":2015,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University of Toronto; University Health Network; Cancer Care Ontario; Women's College Hospital; Public Health Ontario","funders":"Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance; Breast Cancer Alliance; Association Canadienne des Radiologistes; Cancer Research Institute","keywords":"Mammography; Medicine; Breast cancer; Digital mammography; Gynecology; Hormone therapy; Confidence interval; Breast cancer screening; Logistic regression; Cancer; Obstetrics; Oncology; Internal medicine","score_opus":0.062020918554932705,"score_gpt":0.36262297298133245,"score_spread":0.30060205442639976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1945994099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98248047,0.012190559,0.0003233892,0.0010861668,0.00024947294,0.000032766602,0.000385037,0.000018731143,0.0032334018],"genre_scores_gemma":[0.997129,0.001444037,0.00018067469,0.00019334437,0.00013052936,0.0000060731,0.00013034785,0.0000067280553,0.0007791548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808747,0.0010927146,0.00011593329,0.0002639821,0.00028653158,0.0001533791],"domain_scores_gemma":[0.98937804,0.008625184,0.0009287425,0.00027621377,0.00023391485,0.0005579985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032451767,0.0004250981,0.0009177991,0.00042777782,0.00022001023,0.0013955375,0.0005615654,0.0007085355,0.00392503],"category_scores_gemma":[0.020316033,0.00019592915,0.0013122575,0.00053383684,0.00043541886,0.0009913056,0.0006037039,0.0007064056,0.00030199002],"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":[0.13684133,0.0011231501,0.74479854,0.00053766463,0.003366245,0.00020731761,0.00032029732,0.0007526893,0.0021167705,0.00042856793,0.00084789237,0.10865954],"study_design_scores_gemma":[0.0022265667,0.019573009,0.9579885,0.00018406702,0.00845593,0.0006586811,0.0010298401,0.0040419525,0.0014499133,0.00085929595,0.0034850077,0.00004732582],"about_ca_topic_score_codex":0.0028823758,"about_ca_topic_score_gemma":0.0041864244,"teacher_disagreement_score":0.00392503,"about_ca_system_score_codex":0.0004558464,"about_ca_system_score_gemma":0.00072699727,"threshold_uncertainty_score":0.017162323},"labels":[],"label_agreement":null},{"id":"W1961629707","doi":"10.1148/radiol.2015150733","title":"Digital Compared with Screen-Film Mammography: Measures of Diagnostic Accuracy among Women Screened in the Ontario Breast Screening Program","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; University Health Network; Cancer Care Ontario; Public Health Ontario; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confidence interval; Mammography; Breast cancer screening; Odds ratio; Breast cancer; Obstetrics; Gynecology; Logistic regression; Breast imaging; Institutional review board; Cancer; Internal medicine; Surgery","score_opus":0.02916292142343657,"score_gpt":0.253966867102202,"score_spread":0.22480394567876544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1961629707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963245,0.0009360609,0.00016795592,0.000118547294,0.000006914093,0.000025452066,0.0010818155,0.000012470484,0.0013261792],"genre_scores_gemma":[0.9990056,0.00018175074,0.00014370732,0.000018167751,0.0000054208667,0.00000644366,0.00045586715,0.000001340367,0.00018165474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896514,0.00019627901,0.000076766824,0.00015866292,0.0005164157,0.00008675897],"domain_scores_gemma":[0.9944653,0.001208206,0.0026039747,0.00031101037,0.0010789789,0.00033247584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013803456,0.0002706538,0.00024797887,0.0014671666,0.00039134538,0.0007143499,0.0008715056,0.00030485008,0.00089996896],"category_scores_gemma":[0.014705899,0.00021108604,0.00033011683,0.001438864,0.0004731017,0.00033666927,0.0005611513,0.00025638504,0.00013595478],"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":[0.00012330379,0.000010896407,0.99707544,0.00003020047,0.000053254127,0.000014063918,0.000103389226,0.00005602919,0.00008055856,0.00001183271,0.00012423532,0.002316836],"study_design_scores_gemma":[0.0000089993055,0.000038172144,0.9991748,0.00001216421,0.00003616104,0.00006849207,0.0000877245,0.00033716357,0.00006390827,0.000010803133,0.00015860393,0.0000030051042],"about_ca_topic_score_codex":0.47568813,"about_ca_topic_score_gemma":0.53294396,"teacher_disagreement_score":0.47568813,"about_ca_system_score_codex":0.0030493597,"about_ca_system_score_gemma":0.0016366233,"threshold_uncertainty_score":0.94583863},"labels":[],"label_agreement":null},{"id":"W1963930787","doi":"10.1118/1.3669486","title":"Spatiotemporal Monte Carlo transport methods in x-ray semiconductor detectors: Application to pulse-height spectroscopy in a-Se","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Monte Carlo method; Physics; Semiconductor detector; Electron; Scattering; Detector; Charge carrier; Optics; Computational physics; Condensed matter physics; Nuclear physics","score_opus":0.030962056260814032,"score_gpt":0.3289811356032322,"score_spread":0.29801907934241817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963930787","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041479487,0.00019730178,0.9559883,0.0000885699,0.000021012811,0.000068148154,0.00006583958,0.00057529,0.001516009],"genre_scores_gemma":[0.58347464,0.00037914494,0.4123033,0.00011464367,0.000021582238,0.00029398402,0.00012555662,0.0002661802,0.003020974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985516,0.0000464327,0.000008733304,0.000018594745,0.00005918382,0.0000119015895],"domain_scores_gemma":[0.9991405,0.0005584624,0.00007109541,0.000057364094,0.0001458672,0.00002663895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061384763,0.00034447564,0.00028887542,0.00036741086,0.00039579775,0.00041817574,0.0008004478,0.0007709364,0.0013204984],"category_scores_gemma":[0.0016998402,0.00030995585,0.00047525865,0.00035707018,0.00034738143,0.00043875416,0.00026890734,0.00046938597,0.00019390082],"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":[0.000024990792,0.00003289636,0.0009628035,0.000034485845,0.000026570257,0.00006443474,0.00003964034,0.9775236,0.004555889,0.0073157535,0.00012349796,0.009295465],"study_design_scores_gemma":[0.0000032766204,0.0000043484365,0.00006920375,0.0000020054447,0.0000019709405,0.000010372789,0.0000019662377,0.99823487,0.00088639575,0.0005740865,0.00020923169,0.000002276208],"about_ca_topic_score_codex":0.008962783,"about_ca_topic_score_gemma":0.006726426,"teacher_disagreement_score":0.008962783,"about_ca_system_score_codex":0.0011583754,"about_ca_system_score_gemma":0.0010230425,"threshold_uncertainty_score":0.017821193},"labels":[],"label_agreement":null},{"id":"W1964134089","doi":"10.1118/1.3002314","title":"Direct‐conversion flat‐panel imager with avalanche gain: Feasibility investigation for HARP‐AMFPI","year":2008,"lang":"en","type":"review","venue":"Medical Physics","topic":"Digital Radiography and Breast 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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Detective quantum efficiency; Avalanche photodiode; HARP; Optics; Fluoroscopy; Digital radiography; Flat panel detector; Active matrix; Single-photon avalanche diode; Physics; Dynamic range; Detector; Optoelectronics; X-ray detector; Avalanche diode; Materials science; Voltage; Radiography; Image quality; Computer science; Thin-film transistor; Breakdown voltage; Nuclear physics","score_opus":0.07801426872048223,"score_gpt":0.3190176138174385,"score_spread":0.24100334509695626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964134089","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66738117,0.0017624405,0.3235101,0.00055693823,0.000040059647,0.00024866275,0.00012606297,0.00090487115,0.0054695862],"genre_scores_gemma":[0.9045403,0.00048124502,0.092750914,0.00005272001,0.000015823955,0.00005494078,0.00006851112,0.000030760664,0.0020047957],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997876,0.000032591786,0.000004589142,0.000042523272,0.00011109549,0.000021565247],"domain_scores_gemma":[0.9997174,0.0001157191,0.000036392183,0.000029126631,0.00008144931,0.000019969799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043595314,0.00033920154,0.00029032023,0.00017564373,0.00018271088,0.0004911272,0.0007107669,0.0006163533,0.00070642616],"category_scores_gemma":[0.00054672576,0.0002215995,0.00029418143,0.00014843795,0.00023260232,0.00072028965,0.00019576092,0.00036188663,0.00025433407],"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":[0.00020421651,0.000098957804,0.0025997646,0.00026581972,0.000037183992,0.000812086,0.00018422454,0.00839111,0.9481007,0.0027827648,0.00042417858,0.036098994],"study_design_scores_gemma":[0.000055875415,0.003038434,0.009181133,0.00003167335,0.00008463828,0.0026316291,0.00012761305,0.18266565,0.79355335,0.0006298974,0.007910363,0.00008965146],"about_ca_topic_score_codex":0.00061320676,"about_ca_topic_score_gemma":0.00066391024,"teacher_disagreement_score":0.0007107669,"about_ca_system_score_codex":0.00036497886,"about_ca_system_score_gemma":0.0003233295,"threshold_uncertainty_score":0.0026480556},"labels":[],"label_agreement":null},{"id":"W1964221799","doi":"10.1118/1.3476184","title":"Sci-Fri AM: Imaging - 05: Principal Component X-Ray Simulation Analysis of Breast Biopsy Phantoms","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Laurentian University","funders":"","keywords":"Biopsy; Detector; Principal component analysis; Nuclear medicine; Optics; Materials science; Physics; Medicine; Mathematics; Radiology; Statistics","score_opus":0.010643579947271678,"score_gpt":0.28660432664199775,"score_spread":0.2759607466947261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964221799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2363281,0.0004082606,0.5942036,0.0009966531,0.00031799974,0.00060465,0.022468612,0.06506191,0.07961018],"genre_scores_gemma":[0.6724999,0.0006313344,0.2655314,0.0003181583,0.00008674033,0.0009787675,0.020548327,0.009936074,0.029469261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998029,0.000052203508,0.000009767666,0.000020778927,0.00008609998,0.000028336657],"domain_scores_gemma":[0.9992874,0.00033260405,0.000035319634,0.000078498786,0.0002305516,0.000035742858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009213335,0.00069276546,0.00030594744,0.0004961745,0.00028316354,0.0004632032,0.0010381488,0.00059299136,0.036005013],"category_scores_gemma":[0.0021054677,0.00035322705,0.00061857246,0.00060693873,0.00022818141,0.00038568582,0.00042432788,0.00060042395,0.004259525],"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":[0.0016593842,0.0006481763,0.0061096437,0.0009089562,0.00024038086,0.0005463983,0.0006581522,0.6554167,0.06510231,0.0141155515,0.109924205,0.14467008],"study_design_scores_gemma":[0.00009332806,0.00011142722,0.0034174176,0.000022355583,0.00001859816,0.00011752708,0.000029400604,0.9466462,0.02629298,0.0009913667,0.022235086,0.00002419789],"about_ca_topic_score_codex":0.005420873,"about_ca_topic_score_gemma":0.003958828,"teacher_disagreement_score":0.036005013,"about_ca_system_score_codex":0.0005676613,"about_ca_system_score_gemma":0.0006287088,"threshold_uncertainty_score":0.12044877},"labels":[],"label_agreement":null},{"id":"W1964749116","doi":"10.1118/1.2961512","title":"SU‐GG‐I‐114: Detector Characterization of a New Flat‐Panel Imager: Prospects for Image Quality Improvement in Fluoroscopy and Cone‐Beam CT","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Detective quantum efficiency; Optics; Optical transfer function; Flat panel detector; Image quality; Detector; Dot pitch; Linearity; Physics; Image sensor; Cone beam computed tomography; X-ray detector; Fluoroscopy; Image resolution; Nuclear medicine; Pixel; Materials science; Medicine; Radiology; Computer science; Image (mathematics)","score_opus":0.023324931911280343,"score_gpt":0.28590722489841375,"score_spread":0.2625822929871334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964749116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8728394,0.0022289592,0.12067844,0.0002010148,0.00003995128,0.00018856958,0.0007280645,0.00093342265,0.002162157],"genre_scores_gemma":[0.8307717,0.0010138479,0.1584611,0.00013376446,0.000022259062,0.00016950922,0.0025604053,0.00028833403,0.0065790494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994779,0.00007672739,0.000025376921,0.00013769044,0.00023799033,0.00004438951],"domain_scores_gemma":[0.9992949,0.00016137067,0.00011593591,0.00007965005,0.00028019072,0.00006795252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010357009,0.0005243931,0.00040383943,0.0003121786,0.00015708926,0.0006085612,0.00083489926,0.00073127786,0.0013597109],"category_scores_gemma":[0.0012320963,0.0003097848,0.00029271375,0.00025389844,0.00025499013,0.0005092291,0.00016953227,0.0003950069,0.00059761584],"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":[0.00009054821,0.000034022323,0.00059635116,0.000048330847,0.000008919255,0.000042294283,0.00001417523,0.0002705785,0.993256,0.000034636156,0.00015101295,0.0054530697],"study_design_scores_gemma":[0.000014026158,0.00039564527,0.008813368,0.0000049374694,0.000025353904,0.0004677893,0.000011192883,0.0059522134,0.9824901,0.000013346852,0.00178571,0.000026309985],"about_ca_topic_score_codex":0.0013325721,"about_ca_topic_score_gemma":0.0014009986,"teacher_disagreement_score":0.0013597109,"about_ca_system_score_codex":0.0005466874,"about_ca_system_score_gemma":0.00038034093,"threshold_uncertainty_score":0.005477369},"labels":[],"label_agreement":null},{"id":"W1965411171","doi":"10.1117/12.769842","title":"High resolution amplified pixel sensor architectures for large area digital mammography tomosynthesis","year":2008,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pixel; Digital mammography; Tomosynthesis; Mammography; Computer science; Digital Breast Tomosynthesis; Image resolution; Resolution (logic); Image sensor; Computer vision; Artificial intelligence; Medicine; Breast cancer","score_opus":0.012010497173720774,"score_gpt":0.21848253256398897,"score_spread":0.2064720353902682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965411171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5287218,0.0030860675,0.45578384,0.00055308803,0.00030195017,0.00023950366,0.0003034915,0.0021090517,0.00890123],"genre_scores_gemma":[0.69038117,0.0007721839,0.30265614,0.00020585847,0.00011749076,0.00010244647,0.00016991027,0.0000548289,0.0055399453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980134,0.000037253707,0.000011976275,0.000042671887,0.000089988236,0.000016885422],"domain_scores_gemma":[0.9995907,0.0001392936,0.0000876731,0.0000336471,0.00012635886,0.000022367483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022670721,0.0003115955,0.00018127111,0.00023572055,0.00013516923,0.0004590851,0.00070013345,0.00042115917,0.0015057585],"category_scores_gemma":[0.0006030116,0.00021571605,0.00015155264,0.00023271545,0.00020973747,0.0008233838,0.00029103772,0.00029684303,0.0004961785],"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":[0.00014481248,0.00003523702,0.00081651466,0.00013272073,0.000023944758,0.00018477638,0.000093220624,0.0019023682,0.9546699,0.002398351,0.0007124664,0.038885824],"study_design_scores_gemma":[0.000055838806,0.001644902,0.003655554,0.000025624768,0.00009123745,0.0019471518,0.00010125924,0.0666261,0.9076112,0.0012920358,0.016893694,0.00005547173],"about_ca_topic_score_codex":0.00018191905,"about_ca_topic_score_gemma":0.0005179684,"teacher_disagreement_score":0.0015057585,"about_ca_system_score_codex":0.0002315133,"about_ca_system_score_gemma":0.00016807418,"threshold_uncertainty_score":0.005037248},"labels":[],"label_agreement":null},{"id":"W1965593385","doi":"10.1158/1055-9965.epi-09-0107","title":"Mammographic Density and Breast Cancer Risk: Evaluation of a Novel Method of Measuring Breast Tissue Volumes","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Mammography; Confidence interval; Odds ratio; Breast tissue; MAMMOGRAPHIC DENSITY; Cancer; Nuclear medicine; Gynecology; Radiology; Internal medicine","score_opus":0.060493795653574926,"score_gpt":0.3874170141471353,"score_spread":0.3269232184935604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965593385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9493204,0.0025425218,0.04596313,0.0002691448,0.00007901554,0.00013419196,0.0004090285,0.00015058256,0.0011318675],"genre_scores_gemma":[0.95800817,0.0005881884,0.040515825,0.00003952612,0.00008411172,0.0001155554,0.00025633024,0.000012572491,0.00037974145],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981927,0.000831603,0.000076572185,0.00019979021,0.0006549653,0.000044485616],"domain_scores_gemma":[0.9931211,0.0036347592,0.0017745083,0.0003473227,0.00097506837,0.00014720579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027538352,0.0004240676,0.00041240186,0.0010533219,0.00013026352,0.0006486823,0.0006246268,0.00052254397,0.00044208323],"category_scores_gemma":[0.012885727,0.00028086037,0.0003647679,0.0006352714,0.0003662872,0.00062050304,0.00055115693,0.00046387242,0.00011001013],"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":[0.0014402587,0.00036114675,0.84502363,0.00030928425,0.0006711588,0.00011638014,0.00026129207,0.008132683,0.013034195,0.00048760115,0.0005457096,0.12961662],"study_design_scores_gemma":[0.0002795266,0.004129751,0.81118286,0.00011591941,0.000597673,0.002992435,0.00020583245,0.16314884,0.014141518,0.0008232983,0.0022355486,0.00014675263],"about_ca_topic_score_codex":0.0030663772,"about_ca_topic_score_gemma":0.0037875965,"teacher_disagreement_score":0.0030663772,"about_ca_system_score_codex":0.0006540979,"about_ca_system_score_gemma":0.00036701703,"threshold_uncertainty_score":0.0145638585},"labels":[],"label_agreement":null},{"id":"W1966430792","doi":"10.1158/1055-9965.epi-09-0074","title":"Differences in Measured Mammographic Density in the Menstrual Cycle","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University Health Network","funders":"","keywords":"Mammography; Menstrual cycle; Medicine; Follicular phase; MAMMOGRAPHIC DENSITY; Breast cancer; Gynecology; Breast density; Luteal phase; Digital mammography; Obstetrics; Cancer; Internal medicine; Hormone","score_opus":0.05266721236851455,"score_gpt":0.3421446916765013,"score_spread":0.28947747930798673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966430792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668163,0.0009028911,0.00046039032,0.00003064512,0.00000923716,0.000034997953,0.00055517786,0.000011200813,0.0013136712],"genre_scores_gemma":[0.99922526,0.00012537297,0.00024989384,0.000010332741,0.000004694199,0.00001937611,0.00020973128,0.0000023696302,0.00015294917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994217,0.00019935096,0.0000576919,0.0000871302,0.00017241073,0.00006176418],"domain_scores_gemma":[0.9982558,0.0007019755,0.0006331043,0.00010305646,0.00020973572,0.00009640066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006707176,0.00013034068,0.00016584764,0.0006715558,0.00016372192,0.00030407446,0.00030127369,0.00013321191,0.0012103152],"category_scores_gemma":[0.0059141745,0.00012846943,0.0001333339,0.00074287556,0.0002933161,0.00012691034,0.00024610024,0.00010501137,0.00012881156],"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":[0.0002575959,0.000011309031,0.99359083,0.0000259708,0.00004294408,0.000057547844,0.00018018905,0.00006349587,0.0010388207,0.000045278808,0.000078706296,0.0046074335],"study_design_scores_gemma":[0.000003708985,0.000041758536,0.9992803,0.0000053487324,0.000010927534,0.00014354038,0.000035416622,0.00007947861,0.00021582453,0.00001603319,0.00016613984,0.0000014821071],"about_ca_topic_score_codex":0.0059375362,"about_ca_topic_score_gemma":0.0063127102,"teacher_disagreement_score":0.0059375362,"about_ca_system_score_codex":0.0004805745,"about_ca_system_score_gemma":0.0002177235,"threshold_uncertainty_score":0.011805952},"labels":[],"label_agreement":null},{"id":"W1966439729","doi":"10.1158/1055-9965.epi-06-0241","title":"No Association Between 25-Hydroxyvitamin D and Mammographic Density","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Quartile; MAMMOGRAPHIC DENSITY; Vitamin D and neurology; Body mass index; Menopause; Internal medicine; Cancer; Bone density; Mammography; Physiology; Demography; Endocrinology; Oncology; Osteoporosis; Confidence interval","score_opus":0.019695329625093506,"score_gpt":0.3060607422924595,"score_spread":0.286365412667366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966439729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99464935,0.0016725257,0.0002848969,0.0001383673,0.000023543118,0.000014371939,0.0007185671,0.000012432847,0.0024858844],"genre_scores_gemma":[0.9988531,0.00021166759,0.0001130993,0.00003757935,0.000012265677,0.0000056592103,0.00020585944,0.0000019947236,0.00055872195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931896,0.00020054297,0.000049074028,0.0001867016,0.00016276732,0.000081975166],"domain_scores_gemma":[0.99603856,0.0014241008,0.001214032,0.00044801642,0.00036721176,0.0005079745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010536857,0.00019924449,0.00034214318,0.00049407716,0.00039586565,0.00054316956,0.00055877573,0.00038565605,0.0032705676],"category_scores_gemma":[0.0062091844,0.00034008874,0.00055187446,0.000555441,0.00037220563,0.00026997857,0.00030289456,0.00029076787,0.00027114557],"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":[0.00019488025,0.000013465203,0.9979317,0.000020992442,0.0000970168,0.000038817434,0.00002995588,0.00002994157,0.00032932794,0.000026923793,0.000069164984,0.0012178564],"study_design_scores_gemma":[0.00000728446,0.00006380698,0.9992889,0.00000964049,0.0000780752,0.000111439374,0.000030549912,0.00010989388,0.000047458856,0.00002035723,0.0002304526,0.00000207737],"about_ca_topic_score_codex":0.025815342,"about_ca_topic_score_gemma":0.03677499,"teacher_disagreement_score":0.025815342,"about_ca_system_score_codex":0.00045217812,"about_ca_system_score_gemma":0.00046509024,"threshold_uncertainty_score":0.05133015},"labels":[],"label_agreement":null},{"id":"W1966635488","doi":"10.1118/1.3488899","title":"In‐plane visibility of lesions using breast tomosynthesis and digital mammography","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Strålsäkerhetsmyndigheten; Malmö Högskola; Cancerfonden","keywords":"Digital mammography; Mammography; Nuclear medicine; Tomosynthesis; Image quality; Medicine; Digital Breast Tomosynthesis; Lesion; Visibility; SIGNAL (programming language); Medical imaging; Dosimetry; Radiology; Optics; Physics; Breast cancer; Artificial intelligence; Computer science; Pathology; Image (mathematics)","score_opus":0.01028670889345791,"score_gpt":0.261830218540286,"score_spread":0.2515435096468281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966635488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411595,0.00032986383,0.005091795,0.000018521894,0.000005866438,0.000020954496,0.000034250905,0.000034495217,0.00034823423],"genre_scores_gemma":[0.9942899,0.00014904833,0.0052397787,0.000017434782,0.000010076725,0.000009279096,0.00008985931,0.000015228162,0.00017947619],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994055,0.0002456972,0.000042788877,0.00010271216,0.00015698161,0.00004635135],"domain_scores_gemma":[0.99846494,0.00082686835,0.0003358378,0.00011491864,0.00013711004,0.000120251454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008421495,0.0005529931,0.00033137054,0.0005925038,0.00011738888,0.0005580274,0.00024134137,0.00047782288,0.0010881792],"category_scores_gemma":[0.005030187,0.00033254118,0.00037881138,0.00020593435,0.00024167458,0.00034260607,0.00059817167,0.00020086124,0.00016021091],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006686446,0.00052901026,0.091036834,0.0007917872,0.0002938035,0.0007733615,0.0006540689,0.0063432963,0.84138966,0.00011804072,0.00013135746,0.051252335],"study_design_scores_gemma":[0.00035841716,0.012832451,0.5597912,0.0000733076,0.0008160295,0.019314654,0.00064570765,0.038403243,0.3653075,0.00029924282,0.0020406079,0.00011760079],"about_ca_topic_score_codex":0.00046611615,"about_ca_topic_score_gemma":0.0005240174,"teacher_disagreement_score":0.0010881792,"about_ca_system_score_codex":0.00017278132,"about_ca_system_score_gemma":0.00017070619,"threshold_uncertainty_score":0.0044537783},"labels":[],"label_agreement":null},{"id":"W1966775525","doi":"10.1088/0031-9155/58/7/2305","title":"Finding an improved amorphous-silicon x-ray flat-panel detector configuration for the in-line geometry","year":2013,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Thunder Bay Regional Research Institute; University of Toronto","funders":"Deutscher Akademischer Austauschdienst; Cancer Research UK","keywords":"Flat panel detector; Detector; Materials science; Flat panel; Monte Carlo method; Optics; Attenuation; SIGNAL (programming language); Flat panel display; Silicon; Amorphous silicon; Beam (structure); Crystalline silicon; Optoelectronics; Physics; Computer science","score_opus":0.14674077029420934,"score_gpt":0.35873962346126814,"score_spread":0.2119988531670588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966775525","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2448724,0.0009466995,0.7454676,0.00051070953,0.00017193932,0.00021901629,0.000640412,0.0019571867,0.00521416],"genre_scores_gemma":[0.64311117,0.00027331998,0.35411742,0.00024143278,0.000030020201,0.000058763355,0.00027246503,0.000100806494,0.0017945758],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953413,0.000075737065,0.000017489656,0.00014555732,0.0001854487,0.000041688872],"domain_scores_gemma":[0.99959904,0.000081337676,0.000064717875,0.000097421915,0.00012535878,0.000032148928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032015724,0.00054216536,0.00053159276,0.0002538394,0.00020878452,0.0008761295,0.0018014001,0.0008413342,0.0016056371],"category_scores_gemma":[0.0006387517,0.00038777932,0.00036545566,0.00036830336,0.00021972365,0.00057057885,0.00031761202,0.0003546427,0.0008727176],"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":[0.0004881674,0.0002451029,0.004889607,0.00044069625,0.0001272572,0.0005674973,0.000094016665,0.030256536,0.90003914,0.0035912194,0.0028852613,0.05637545],"study_design_scores_gemma":[0.0001452757,0.000994521,0.008638261,0.000032338783,0.00020435854,0.002530753,0.000060345283,0.22700548,0.7375012,0.0006656089,0.022080889,0.00014101095],"about_ca_topic_score_codex":0.0010433914,"about_ca_topic_score_gemma":0.0015698943,"teacher_disagreement_score":0.0018014001,"about_ca_system_score_codex":0.0006308017,"about_ca_system_score_gemma":0.0006533976,"threshold_uncertainty_score":0.005371392},"labels":[],"label_agreement":null},{"id":"W1967263252","doi":"10.1118/1.3591990","title":"Dependence of image quality on geometric factors in breast tomosynthesis","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Canadian Breast Cancer Research Alliance; Breast Cancer Alliance","keywords":"Offset (computer science); Image quality; Imaging phantom; Detector; Iterative reconstruction; Computer vision; Standard deviation; Tomosynthesis; Projection (relational algebra); Artificial intelligence; Mathematics; Computer science; Optics; Algorithm; Physics; Mammography; Image (mathematics); Medicine; Statistics","score_opus":0.03775460256008147,"score_gpt":0.2896979876723247,"score_spread":0.25194338511224323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967263252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8586289,0.0008993089,0.13846873,0.00013302127,0.000011191877,0.000050853785,0.00009999852,0.00040069467,0.0013072526],"genre_scores_gemma":[0.98163444,0.00020450159,0.017823154,0.00001611863,0.0000033249103,0.000013891473,0.000072796385,0.00005546302,0.00017631693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99912435,0.0003610871,0.000036512214,0.0000763731,0.0003616401,0.000040003957],"domain_scores_gemma":[0.9940094,0.0049149757,0.0005449139,0.00019620344,0.00029896718,0.000035558074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015239365,0.00047589786,0.00023888926,0.0003533899,0.000118840544,0.00049062306,0.00032941104,0.00041162473,0.0005546038],"category_scores_gemma":[0.011799224,0.00034220846,0.00033848453,0.00034411543,0.0006798011,0.00041293786,0.00033218504,0.00023465924,0.00015758736],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000708648,0.000060601644,0.020848623,0.00026011167,0.00009600207,0.00033958137,0.000100318044,0.89364225,0.06081572,0.0010511227,0.00010054044,0.021976542],"study_design_scores_gemma":[0.000076354,0.0007780321,0.02103365,0.000029795305,0.00008405311,0.0008302879,0.000029236047,0.84551346,0.12951775,0.00139111,0.00067142426,0.000044929544],"about_ca_topic_score_codex":0.0014012388,"about_ca_topic_score_gemma":0.00079993455,"teacher_disagreement_score":0.0015239365,"about_ca_system_score_codex":0.0007057192,"about_ca_system_score_gemma":0.00028776185,"threshold_uncertainty_score":0.008059442},"labels":[],"label_agreement":null},{"id":"W1967580557","doi":"10.1097/gme.0b013e31816956c3","title":"Aromatase inhibitors and mammographic breast density in postmenopausal women receiving hormone therapy","year":2008,"lang":"en","type":"article","venue":"Menopause The Journal of The North American Menopause Society","topic":"Digital Radiography and Breast 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":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Medicine; Breast cancer; Gynecology; Bone mineral; Letrozole; Hormone therapy; Hormone replacement therapy (female-to-male); Menopause; Aromatase; Internal medicine; Oncology; Estrogen; Aromatase inhibitor; Population; Retrospective cohort study; Obstetrics; Cancer; Osteoporosis","score_opus":0.00692396501762243,"score_gpt":0.21269682187500866,"score_spread":0.20577285685738622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967580557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836165,0.0012850912,0.000028784607,0.000021376629,0.000003822875,0.0000074689397,0.00006935433,0.0000010363776,0.00022138066],"genre_scores_gemma":[0.9993856,0.0003548969,0.00004709588,0.00001586889,0.000011179992,0.000005857838,0.00006333057,3.6098814e-7,0.00011577671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998142,0.000058875612,0.000023035383,0.000024866224,0.000056588706,0.000022507049],"domain_scores_gemma":[0.99928015,0.00022246072,0.000338093,0.000026944572,0.00005639243,0.000075981196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039791086,0.0001369611,0.00024733308,0.00036665334,0.00017172736,0.00023223822,0.000114955845,0.00024090275,0.00086437684],"category_scores_gemma":[0.001823263,0.00014948577,0.00021325548,0.0004090912,0.0001247454,0.00013784404,0.00017336883,0.00024743308,0.00010025999],"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":[0.0006109186,0.0000634119,0.99672985,0.000019845704,0.00003940674,0.00008874046,0.000033035332,0.000012058824,0.000402772,0.0000035474152,0.000023934654,0.001972538],"study_design_scores_gemma":[0.000019753537,0.0005150054,0.9986889,0.0000052091577,0.00004131851,0.0004070649,0.00004466054,0.00004177021,0.00012000619,0.0000056615886,0.000109579836,0.0000011620044],"about_ca_topic_score_codex":0.0013396505,"about_ca_topic_score_gemma":0.0017084365,"teacher_disagreement_score":0.0013396505,"about_ca_system_score_codex":0.00012851489,"about_ca_system_score_gemma":0.00011457249,"threshold_uncertainty_score":0.0028916597},"labels":[],"label_agreement":null},{"id":"W1968336458","doi":"10.1118/1.1538233","title":"Imaging performance of amorphous selenium based flat-panel detectors for digital mammography: Characterization of a small area prototype detector","year":2003,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":135,"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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"U.S. Army; Breast Cancer Research Foundation","keywords":"Detector; Detective quantum efficiency; Flat panel detector; Optics; Optical transfer function; Nyquist frequency; Digital radiography; Physics; Digital mammography; Spatial frequency; Noise power; Aliasing; Image resolution; Materials science; Mammography; Image quality; Computer science; Power (physics); Telecommunications; Bandwidth (computing); Radiography","score_opus":0.01505679589000007,"score_gpt":0.2166852499539185,"score_spread":0.20162845406391844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968336458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396564,0.00041817472,0.014945089,0.000050599698,0.000008508575,0.00005008016,0.000070755064,0.00017272195,0.00031829719],"genre_scores_gemma":[0.9719111,0.00032939392,0.026764378,0.00004286115,0.000005786642,0.000041184943,0.000088490626,0.000029582865,0.0007873015],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995646,0.00008372583,0.000015041536,0.00011313766,0.0001921549,0.000031360825],"domain_scores_gemma":[0.9990013,0.00047710474,0.00011020288,0.00009566012,0.0002721488,0.000043691514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067210424,0.00037607067,0.0005577541,0.00026670485,0.0002529349,0.00052331155,0.001043307,0.0008507303,0.00072638993],"category_scores_gemma":[0.001692554,0.00033435415,0.00030778444,0.00034672182,0.0003429768,0.0005955527,0.00029752584,0.00023945296,0.00024789022],"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":[0.0002714787,0.000071529714,0.002351646,0.00009953503,0.000027516608,0.00022445245,0.00010042357,0.0018115124,0.98818874,0.000096846175,0.00008134456,0.0066747977],"study_design_scores_gemma":[0.00003214341,0.0022186262,0.010592013,0.000008495957,0.00005256235,0.0007376786,0.00012763441,0.024858257,0.9603237,0.000063468666,0.0009468712,0.00003856499],"about_ca_topic_score_codex":0.0010040442,"about_ca_topic_score_gemma":0.001465863,"teacher_disagreement_score":0.001043307,"about_ca_system_score_codex":0.0005438497,"about_ca_system_score_gemma":0.00029726612,"threshold_uncertainty_score":0.003945887},"labels":[],"label_agreement":null},{"id":"W1969011924","doi":"10.1148/radiol.2261012024","title":"Diagnostic Accuracy of Digital Mammography in Patients with Dense Breasts Who Underwent Problem-solving Mammography: Effects of Image Processing and Lesion Type","year":2003,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"U.S. Public Health Service","keywords":"Medicine; Digital mammography; Mammography; Receiver operating characteristic; Lesion; Radiology; Nuclear medicine; Sensitivity (control systems); Artificial intelligence; Pathology; Internal medicine; Breast cancer; Computer science","score_opus":0.00473747730329998,"score_gpt":0.22230320738305595,"score_spread":0.21756573007975596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969011924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994148,0.00018919256,0.00010935714,0.000038221828,0.0000031474963,0.0000058800506,0.000027515924,0.000005946317,0.00020598974],"genre_scores_gemma":[0.99968314,0.00003398455,0.00017924089,0.00001414953,0.0000046628443,0.000001956797,0.00004569951,0.0000012245229,0.000035820085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925596,0.00024315156,0.00010294389,0.00013042263,0.00020869401,0.000058842455],"domain_scores_gemma":[0.9911578,0.0061080055,0.0015053172,0.00028527417,0.00063855527,0.0003050853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012817871,0.00030426847,0.00031527274,0.0006055999,0.0001744944,0.00053389714,0.0002647586,0.00037834022,0.0010320515],"category_scores_gemma":[0.018557955,0.0001771548,0.0002891876,0.0003785592,0.00038264887,0.0003330342,0.00023972917,0.0002453952,0.00015717826],"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":[0.00041055965,0.000044258166,0.99370664,0.000015015735,0.000044792974,0.00006595384,0.0000544848,0.000107288215,0.00040954992,0.000004653095,0.00004701275,0.005089793],"study_design_scores_gemma":[0.000033314907,0.00053760695,0.9958544,0.000008570676,0.00008319332,0.00092396216,0.00012091554,0.0014199442,0.0008850813,0.000023316807,0.00010408303,0.0000056105414],"about_ca_topic_score_codex":0.002322261,"about_ca_topic_score_gemma":0.003080914,"teacher_disagreement_score":0.002322261,"about_ca_system_score_codex":0.0003094377,"about_ca_system_score_gemma":0.00026573476,"threshold_uncertainty_score":0.0067787766},"labels":[],"label_agreement":null},{"id":"W1969982027","doi":"10.1016/j.nima.2010.09.088","title":"Numerical generation of digital mammograms considering imaging characteristics of an imager","year":2010,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials","funders":"Ministry of Education, Science and Technology","keywords":"Tomosynthesis; Imaging phantom; Mammography; Digital mammography; Breast imaging; Computer science; Noise (video); Detector; Voxel; Projection (relational algebra); Medical physics; Computer vision; Artificial intelligence; Breast cancer; Nuclear medicine; Medicine; Image (mathematics); Algorithm; Cancer","score_opus":0.04793218054566579,"score_gpt":0.37318875605145074,"score_spread":0.32525657550578496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969982027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0677068,0.0001377819,0.923051,0.00015543934,0.000064786866,0.0000631408,0.00009303551,0.0003539512,0.008374112],"genre_scores_gemma":[0.7246568,0.0002053181,0.26984957,0.00006730712,0.000048220452,0.000081363214,0.00020205494,0.0001386077,0.0047507877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987566,0.000028139057,0.000005996478,0.00001919748,0.000059273832,0.000011726335],"domain_scores_gemma":[0.99933016,0.00031856558,0.000067189605,0.00006769657,0.0001802785,0.000036178455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031282063,0.0003025612,0.00030425077,0.00045133967,0.0002616165,0.00061107083,0.0005566011,0.0007424063,0.003076408],"category_scores_gemma":[0.0018372149,0.00024755296,0.0003711835,0.00044490126,0.00033606883,0.00037986482,0.00043972535,0.00026099067,0.000275768],"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":[0.00008391435,0.00004211936,0.0016461149,0.00015481841,0.000026308853,0.00022806544,0.00011211967,0.9176286,0.01718964,0.024326853,0.00082724704,0.03773423],"study_design_scores_gemma":[0.0000034562586,0.0000089189325,0.00014143989,0.0000029111666,0.0000037433988,0.00003398512,0.0000057140146,0.996977,0.0011759773,0.0013266536,0.00031710093,0.0000030364965],"about_ca_topic_score_codex":0.0019142003,"about_ca_topic_score_gemma":0.0015714264,"teacher_disagreement_score":0.003076408,"about_ca_system_score_codex":0.00045951546,"about_ca_system_score_gemma":0.0004551727,"threshold_uncertainty_score":0.010291576},"labels":[],"label_agreement":null},{"id":"W1969996168","doi":"10.1117/12.536863","title":"Indirect flat-panel detector with avalanche gain","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Institutes of Health","keywords":"Avalanche photodiode; Optics; Detector; Avalanche diode; Physics; Detective quantum efficiency; Scintillator; Electron avalanche; Single-photon avalanche diode; Flat panel detector; Noise (video); Photomultiplier; Avalanche breakdown; Scintillation; Optoelectronics; Particle detector; Photon counting; Voltage; Breakdown voltage; Computer science; Ionization","score_opus":0.011778415712583493,"score_gpt":0.2207391617491956,"score_spread":0.20896074603661213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969996168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3088828,0.0029080613,0.6715274,0.00024968592,0.00018251636,0.0002895061,0.0007527713,0.00443475,0.010772553],"genre_scores_gemma":[0.7712597,0.0007744107,0.2148587,0.00021099072,0.000058273494,0.000094022245,0.00056287675,0.00007794064,0.012103088],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996275,0.00005101985,0.000007087334,0.00009771891,0.00018912042,0.000027568065],"domain_scores_gemma":[0.99966013,0.000090611196,0.00002874365,0.000045478515,0.0001357093,0.000039286788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027059627,0.0005492459,0.00048494033,0.0003817305,0.0001947043,0.00052540575,0.0012707133,0.00062738924,0.0025190555],"category_scores_gemma":[0.00030939784,0.00029591395,0.00038891737,0.00036735449,0.00023465206,0.00057072245,0.00043978254,0.0006019346,0.0007860066],"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":[0.00032868888,0.000068774236,0.002737942,0.0001818604,0.00006665637,0.0003493705,0.00004852634,0.002824122,0.9218841,0.0016475166,0.0014263168,0.06843608],"study_design_scores_gemma":[0.0000536927,0.0012430645,0.010438121,0.000020383028,0.00013454171,0.0027720544,0.00003197655,0.091250554,0.87657344,0.0005817224,0.016782908,0.00011752902],"about_ca_topic_score_codex":0.00059344934,"about_ca_topic_score_gemma":0.0010866496,"teacher_disagreement_score":0.0025190555,"about_ca_system_score_codex":0.00037495518,"about_ca_system_score_gemma":0.0004203419,"threshold_uncertainty_score":0.008427024},"labels":[],"label_agreement":null},{"id":"W1970253617","doi":"10.1007/s10278-005-6974-7","title":"Assessment of PACS Display Systems","year":2005,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health; Vancouver General Hospital","funders":"","keywords":"Luminance; Photometer; Computer science; Contrast (vision); Visibility; Workstation; Medical physics; Emergency rooms; Contrast ratio; High contrast; Computer graphics (images); Medicine; Computer vision; Optics; Medical emergency; Physics","score_opus":0.008905980488059814,"score_gpt":0.290244714956889,"score_spread":0.28133873446882923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970253617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563882,0.003367502,0.019792974,0.0005900407,0.00009895902,0.00028604062,0.0017537008,0.00055150286,0.017171156],"genre_scores_gemma":[0.9909537,0.0005313206,0.005802319,0.0000684171,0.00002608623,0.000035118966,0.00058099825,0.00007366178,0.0019284218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934709,0.0018515819,0.00071601965,0.000375122,0.0033209843,0.0002652691],"domain_scores_gemma":[0.9526597,0.020488594,0.002743649,0.0015023235,0.02191695,0.0006887869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057019726,0.0006074651,0.00040905143,0.004899934,0.0007398902,0.003173072,0.00088644406,0.0010723757,0.0067934445],"category_scores_gemma":[0.054711003,0.00035041937,0.0005988757,0.0018608909,0.0003497729,0.0021603599,0.0012061318,0.00043238865,0.0016170732],"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":[0.00471285,0.00029854837,0.71796495,0.0008322832,0.00026617816,0.0011962862,0.0029332533,0.0069198706,0.035263397,0.0020912148,0.0038135261,0.22370756],"study_design_scores_gemma":[0.00012497867,0.0026469484,0.8790148,0.00035795063,0.0007764401,0.005222632,0.0027788198,0.052476812,0.04367211,0.0014821234,0.01131177,0.000134642],"about_ca_topic_score_codex":0.0040438697,"about_ca_topic_score_gemma":0.0035041545,"teacher_disagreement_score":0.0067934445,"about_ca_system_score_codex":0.001790541,"about_ca_system_score_gemma":0.0009822821,"threshold_uncertainty_score":0.030155301},"labels":[],"label_agreement":null},{"id":"W1970668319","doi":"10.1016/s1470-2045(09)70078-6","title":"Breast-tissue composition and other risk factors for breast cancer in young women: a cross-sectional study","year":2009,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Cancer Foundation; Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Breast cancer; Mammography; Menstrual cycle; Gynecology; Cross-sectional study; Obstetrics; Follicular phase; Breast density; Risk factors for breast cancer; Breast development; Hormone; Cancer; Physiology; Internal medicine; Pathology","score_opus":0.024450156422956518,"score_gpt":0.3550274863330137,"score_spread":0.33057732991005717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970668319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992785,0.00021209668,0.00004558019,0.000039542298,0.000008342608,0.000009545201,0.00019983632,0.0000020260786,0.00020448967],"genre_scores_gemma":[0.9988403,0.00025425694,0.00008626172,0.00009623447,0.000014269452,0.000017019991,0.0002559336,0.0000026837497,0.000433083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995466,0.00013873992,0.000047324862,0.00008866196,0.00007776365,0.000100837395],"domain_scores_gemma":[0.99837923,0.00030793383,0.00044349916,0.00014987616,0.00018454116,0.000534957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009014021,0.0004386981,0.0006305646,0.0008217695,0.0008936295,0.000864682,0.0004045488,0.0011961163,0.001873941],"category_scores_gemma":[0.0021890753,0.0014383189,0.0008104684,0.0014209029,0.00047141066,0.000957449,0.0005711069,0.0012742633,0.0006409324],"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":[0.0001196201,0.00013317647,0.99866605,0.000008576075,0.00007039691,0.00008766612,0.00022553194,0.000006895119,0.00029720008,0.00000602156,0.000035374847,0.00034357063],"study_design_scores_gemma":[0.000008413372,0.00030800657,0.9987179,0.000004676895,0.000053027485,0.00021334381,0.00053384656,0.00002417471,0.000038622788,0.000008287288,0.00008558785,0.000004117556],"about_ca_topic_score_codex":0.010578771,"about_ca_topic_score_gemma":0.013696569,"teacher_disagreement_score":0.010578771,"about_ca_system_score_codex":0.00038468116,"about_ca_system_score_gemma":0.00047246582,"threshold_uncertainty_score":0.02103442},"labels":[],"label_agreement":null},{"id":"W1971469186","doi":"10.1118/1.2841938","title":"The effect of skin thickness determined using breast CT on mammographic dosimetry","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; University of California, Davis; California Breast Cancer Research Program; Susan G. Komen for the Cure","keywords":"Dosimetry; Mammography; Nuclear medicine; Medicine; Skin thickness; Breast cancer; Breast imaging; Coronal plane; Radiology; Biomedical engineering; Cancer; Internal medicine","score_opus":0.009732604839693178,"score_gpt":0.2585970758870223,"score_spread":0.24886447104732912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971469186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93556833,0.005404495,0.055603568,0.00015530597,0.000107105996,0.00010866834,0.00025676048,0.00024049488,0.0025551936],"genre_scores_gemma":[0.9806147,0.0012894258,0.017266331,0.000088695546,0.000027776712,0.000025366977,0.000121298355,0.00014525822,0.00042107224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99538237,0.0025851435,0.0002617218,0.00037699088,0.0012770464,0.00011671061],"domain_scores_gemma":[0.98116034,0.014938715,0.0014608282,0.0012299577,0.0010660142,0.00014410805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038438493,0.0005744277,0.0003852891,0.0006785794,0.0002330412,0.0006718263,0.00031345055,0.000421326,0.0009524018],"category_scores_gemma":[0.02085405,0.0004800565,0.00050355995,0.0006865122,0.00063253165,0.00037840407,0.0005754801,0.00037161738,0.00019033036],"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":[0.004400124,0.0001384754,0.22603308,0.0009216962,0.0007727995,0.0010914617,0.00078820693,0.06395974,0.5326696,0.00081360585,0.0004115998,0.16799973],"study_design_scores_gemma":[0.00005545588,0.002867373,0.4651861,0.00016308532,0.00079811586,0.0053341063,0.00029935138,0.0508194,0.47087026,0.0007780106,0.0027127229,0.00011604916],"about_ca_topic_score_codex":0.0010760608,"about_ca_topic_score_gemma":0.0013716036,"teacher_disagreement_score":0.0038438493,"about_ca_system_score_codex":0.0003950137,"about_ca_system_score_gemma":0.00025273024,"threshold_uncertainty_score":0.020328462},"labels":[],"label_agreement":null},{"id":"W1972154388","doi":"10.1118/1.2912177","title":"Optimization of exposure parameters in full field digital mammography","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":87,"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","funders":"National Cancer Institute","keywords":"Digital mammography; Automatic exposure control; Imaging phantom; Mammography; Computer science; Dosimetry; Filter (signal processing); Nuclear medicine; Medical physics; Artificial intelligence; Computer vision; Medicine; Breast cancer","score_opus":0.011506344751511252,"score_gpt":0.22922912876837714,"score_spread":0.2177227840168659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972154388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8589935,0.0043668714,0.13339195,0.00018862536,0.000030399216,0.00017845615,0.00023085883,0.0006055112,0.002013936],"genre_scores_gemma":[0.8743067,0.0017909391,0.12205644,0.00016287515,0.000020518242,0.00011321362,0.00028415764,0.00031470155,0.0009504746],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986228,0.0005189234,0.00013736967,0.00023675195,0.00043095366,0.000053224678],"domain_scores_gemma":[0.9962031,0.002761258,0.00041366348,0.0002516252,0.00032269003,0.0000477403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017681548,0.00053879386,0.00036005763,0.0007245941,0.00021339886,0.0008716418,0.0005432581,0.0005328514,0.0010926292],"category_scores_gemma":[0.008139182,0.00042759455,0.00031582717,0.00069958344,0.00024555693,0.00084879785,0.0008508693,0.00031015303,0.0002702402],"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":[0.0015120595,0.00020352834,0.0076434137,0.00067648833,0.00009136364,0.000120706674,0.00029666483,0.0134367095,0.8465825,0.0003919499,0.00031547475,0.12872909],"study_design_scores_gemma":[0.00013146343,0.0032894723,0.068618864,0.00012061623,0.00023422463,0.0019757794,0.00021152018,0.021051416,0.8960815,0.00077550823,0.0073567745,0.00015276531],"about_ca_topic_score_codex":0.00031752817,"about_ca_topic_score_gemma":0.00037439584,"teacher_disagreement_score":0.0017681548,"about_ca_system_score_codex":0.00047818854,"about_ca_system_score_gemma":0.00028352928,"threshold_uncertainty_score":0.009351015},"labels":[],"label_agreement":null},{"id":"W1972332868","doi":"10.1007/s10549-011-1739-0","title":"Are genetic and environmental components of variance in mammographic density measures that predict breast cancer risk independent of within-twin pair differences in body mass index?","year":2011,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario","funders":"National Medical Research Council; National Health and Medical Research Council","keywords":"Statistics; Correlation; Covariance; Twin study; Body mass index; Bivariate analysis; Breast cancer; Mathematics; Variance (accounting); Risk factors for breast cancer; Heritability; Cancer; Medicine; Biology; Internal medicine; Genetics","score_opus":0.050608320636071034,"score_gpt":0.2719646859470027,"score_spread":0.22135636531093164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972332868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957956,0.00081987353,0.0018621206,0.00036671106,0.000050203515,0.0000087202525,0.00019900728,0.000021893755,0.00087578956],"genre_scores_gemma":[0.99804497,0.00018812956,0.0009916998,0.00006691047,0.00003105824,0.0000106473735,0.00016591944,0.000023568766,0.00047704045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99538136,0.002435032,0.0002604353,0.0010909841,0.00042486243,0.00040731963],"domain_scores_gemma":[0.9918568,0.003954615,0.0013952941,0.0017585774,0.0005351647,0.0004995877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030270922,0.0012872394,0.0010563743,0.0014581812,0.001043806,0.0013493468,0.0011458521,0.0016664506,0.0022082762],"category_scores_gemma":[0.011010408,0.0012574939,0.0020346746,0.0018183871,0.0016929674,0.0010611417,0.0011591043,0.0012365121,0.00029000183],"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":[0.00049314584,0.00015981476,0.98512197,0.000024657562,0.0022554877,0.00034683512,0.00073188246,0.0004311005,0.0036136,0.0010825112,0.00018065501,0.005558419],"study_design_scores_gemma":[0.000019891446,0.000081052254,0.9959204,0.000018569572,0.00046673923,0.00045993607,0.00028080572,0.0011378562,0.00034505766,0.0009788837,0.0002667733,0.000024088722],"about_ca_topic_score_codex":0.008133298,"about_ca_topic_score_gemma":0.0098583335,"teacher_disagreement_score":0.008133298,"about_ca_system_score_codex":0.00039304895,"about_ca_system_score_gemma":0.0007393207,"threshold_uncertainty_score":0.016171873},"labels":[],"label_agreement":null},{"id":"W1973080055","doi":"10.1118/1.3129159","title":"Objective index of image fidelity for JPEG2000 compressed body CT images","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":17,"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":"Medical imaging; Image processing; Computer vision; Fidelity; JPEG 2000; Artificial intelligence; Index (typography); Computer science; Image (mathematics); Image compression","score_opus":0.009272844823714732,"score_gpt":0.28812301033451465,"score_spread":0.27885016551079994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973080055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8607244,0.0052601877,0.11724995,0.0002386875,0.000143782,0.00093065324,0.0035230208,0.0007826347,0.011146653],"genre_scores_gemma":[0.9543966,0.0007842438,0.041321468,0.0000583733,0.00006987776,0.00023373251,0.0012765602,0.00009080308,0.0017682413],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99777836,0.0004330453,0.00028721202,0.00021552666,0.0012102888,0.00007558968],"domain_scores_gemma":[0.9898567,0.003830892,0.0024307685,0.00040914922,0.0032023385,0.00027010392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002973244,0.0005191549,0.0003903805,0.0025084072,0.00020899685,0.0008062411,0.000381273,0.00045248168,0.002219525],"category_scores_gemma":[0.012910624,0.00013489755,0.00028833858,0.0013616834,0.00035157817,0.0009372972,0.0005711698,0.00036926265,0.00039021438],"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":[0.0046606157,0.0005285636,0.35036743,0.0018764128,0.0008692537,0.0005244258,0.0009549197,0.009180619,0.18053669,0.0025109644,0.0044458807,0.4435442],"study_design_scores_gemma":[0.00016495559,0.0042698975,0.75300324,0.00031244318,0.0005766228,0.0059036915,0.0007182537,0.0771665,0.14502144,0.001604082,0.011042335,0.00021664897],"about_ca_topic_score_codex":0.0007728924,"about_ca_topic_score_gemma":0.00089875254,"teacher_disagreement_score":0.002973244,"about_ca_system_score_codex":0.00045861944,"about_ca_system_score_gemma":0.00024826181,"threshold_uncertainty_score":0.015724182},"labels":[],"label_agreement":null},{"id":"W1973507522","doi":"10.1158/1055-9965.epi-05-0068","title":"Vitamin D and Calcium Intakes from Food or Supplements and Mammographic Breast Density","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Jewish General Hospital; McGill University; The Quebec Population Health Research Network; Hôpital Charles-Le Moyne; Université Laval; Centre hospitalier universitaire de Québec","funders":"","keywords":"Vitamin D and neurology; Medicine; Calcium; Breast cancer; Bayesian multivariate linear regression; Vitamin; Confidence interval; Internal medicine; Physiology; Food frequency questionnaire; Endocrinology; Linear regression; Cancer; Mathematics","score_opus":0.048036008628572414,"score_gpt":0.3446031800535292,"score_spread":0.29656717142495675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973507522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935548,0.0038039107,0.00017197462,0.00013003804,0.000006860405,0.000015029828,0.0010720227,0.000010871723,0.0012345621],"genre_scores_gemma":[0.9980108,0.00068278995,0.00021574573,0.000030912797,0.0000063070856,0.0000067208534,0.0005067222,0.0000016027585,0.0005383021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997389,0.000059138634,0.00001749317,0.000043553893,0.000099224155,0.000041642095],"domain_scores_gemma":[0.9990901,0.00024417028,0.00031643003,0.000036366368,0.00020413684,0.000108862594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004369142,0.00021696855,0.00023819036,0.00054286106,0.00023284838,0.00035844295,0.00024868446,0.00024663768,0.0024489535],"category_scores_gemma":[0.0024006628,0.00012416141,0.00018170668,0.00073531,0.00022485416,0.0001112556,0.00016885952,0.00020897592,0.0002041607],"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":[0.00015394398,0.000016920674,0.9961132,0.00003137477,0.000120088625,0.000026073109,0.000021192052,0.00005192244,0.00026347503,0.000008842338,0.00010846631,0.003084487],"study_design_scores_gemma":[0.0000050286512,0.0000361754,0.9993648,0.0000062533118,0.000039868646,0.000099454795,0.00001399748,0.00007180485,0.00007336891,0.000009494646,0.00027853952,0.000001270973],"about_ca_topic_score_codex":0.14401759,"about_ca_topic_score_gemma":0.17765085,"teacher_disagreement_score":0.14401759,"about_ca_system_score_codex":0.00079640467,"about_ca_system_score_gemma":0.00079534785,"threshold_uncertainty_score":0.2863586},"labels":[],"label_agreement":null},{"id":"W1973884420","doi":"10.1118/1.3560428","title":"Analysis of Fourier‐domain task‐based detectability index in tomosynthesis and cone‐beam CT in relation to human observer performance","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; Johns Hopkins University; National Institutes of Health; Harvard University","keywords":"Tomosynthesis; Imaging phantom; Observer (physics); Cone beam computed tomography; Noise (video); Detector; Computer science; Mathematics; Optics; Artificial intelligence; Computer vision; Physics; Mammography","score_opus":0.02248677912822339,"score_gpt":0.25341664079747006,"score_spread":0.23092986166924667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973884420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85239697,0.0002886678,0.14542696,0.00004547712,0.000011209947,0.000054981418,0.00018035331,0.0002617472,0.0013337277],"genre_scores_gemma":[0.9908977,0.00003869025,0.008608082,0.0000087753115,0.000004569257,0.000023377677,0.00018773541,0.000035110523,0.00019602696],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988763,0.00035397394,0.00008337719,0.0003400568,0.00029384033,0.00005251027],"domain_scores_gemma":[0.97912574,0.015456783,0.0022944896,0.0013731156,0.0014951049,0.0002547926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029275906,0.00046297876,0.00034057137,0.0007813374,0.00014734436,0.00060371024,0.00030992454,0.00039741877,0.00063673686],"category_scores_gemma":[0.023768757,0.00017024291,0.00040804758,0.00041814026,0.00041942034,0.0006302308,0.0004985297,0.0003036049,0.00019366431],"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":[0.0054461546,0.0004120737,0.3179685,0.00072304154,0.0008992774,0.00039305293,0.001338392,0.18069269,0.25517216,0.002593134,0.00079452735,0.23356703],"study_design_scores_gemma":[0.00003775112,0.001050067,0.4277424,0.00002626929,0.00015368218,0.0006156698,0.00014105038,0.5012333,0.06626537,0.002020622,0.0006273932,0.00008648606],"about_ca_topic_score_codex":0.0015080156,"about_ca_topic_score_gemma":0.00096676894,"teacher_disagreement_score":0.0029275906,"about_ca_system_score_codex":0.000531889,"about_ca_system_score_gemma":0.00032782016,"threshold_uncertainty_score":0.015482724},"labels":[],"label_agreement":null},{"id":"W1975017791","doi":"10.1007/s10278-005-6702-3","title":"Benefits of the DICOM Modality Performed Procedure Step","year":2005,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Modality (human–computer interaction); DICOM; Workflow; Computer science; Picture archiving and communication system; Database transaction; Software deployment; Multimedia; Database; Software engineering; Artificial intelligence","score_opus":0.010237192397236482,"score_gpt":0.24390379257141676,"score_spread":0.23366660017418028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975017791","genre_codex":"empirical","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6623205,0.023140144,0.048620008,0.027801087,0.0032949655,0.00041545986,0.0020378921,0.0011936107,0.2311764],"genre_scores_gemma":[0.9410786,0.0039064414,0.029130358,0.0024320155,0.0028867004,0.00008488195,0.0005901594,0.00022615722,0.019664763],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914134,0.00026412608,0.0000791241,0.000075050266,0.00036501503,0.00007530263],"domain_scores_gemma":[0.9940404,0.0025856625,0.00054581044,0.0008543243,0.0011543331,0.00081939844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011201046,0.00042021234,0.00027649407,0.0012752224,0.0005554357,0.0009937789,0.00043050724,0.0009497771,0.02617605],"category_scores_gemma":[0.009358732,0.00017690027,0.0006825269,0.000615332,0.0003248447,0.00087125605,0.0007858386,0.0008517287,0.0035574362],"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":[0.0054271314,0.0015159879,0.09375951,0.00081140344,0.00023539706,0.004902619,0.00026718332,0.0011421466,0.026347427,0.009303625,0.021299561,0.83498794],"study_design_scores_gemma":[0.00055435585,0.004469299,0.71293926,0.00076621206,0.0010412756,0.14093637,0.0007663597,0.0057973955,0.026565025,0.014306169,0.09164248,0.00021583724],"about_ca_topic_score_codex":0.00090172805,"about_ca_topic_score_gemma":0.0037918517,"teacher_disagreement_score":0.02617605,"about_ca_system_score_codex":0.00044233084,"about_ca_system_score_gemma":0.0009085282,"threshold_uncertainty_score":0.08756769},"labels":[],"label_agreement":null},{"id":"W1976534251","doi":"10.1118/1.4770281","title":"A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications","year":2013,"lang":"en","type":"review","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Science Foundation; National Cancer Institute; University of Toronto; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Tomosynthesis; Computer science; Iterative reconstruction; Medical physics; Artificial intelligence; Image processing; Computer vision; Artifact (error); Breast imaging; Mammography; Medicine; Breast cancer; Image (mathematics)","score_opus":0.014767988013363535,"score_gpt":0.30631285851249646,"score_spread":0.2915448704991329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976534251","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013434087,0.9972729,0.0003645476,0.00021023759,0.0003140637,0.000009023094,0.000041165014,0.000013611726,0.0016400457],"genre_scores_gemma":[0.0006512377,0.99604934,0.0007680941,0.00022872466,0.0004965897,0.000014824799,0.00008189551,0.000004878649,0.0017044765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969566,0.000047308633,0.000059332946,0.000056189234,0.00012174887,0.000019702862],"domain_scores_gemma":[0.9993513,0.00028652663,0.00009683716,0.000020424075,0.0002021652,0.000042708692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005758933,0.0009520384,0.0012516207,0.003996729,0.0003080886,0.0009692453,0.0008533062,0.0010070124,0.010473588],"category_scores_gemma":[0.0011651947,0.00047390652,0.00061738334,0.003824002,0.00047447172,0.0016300784,0.00053566083,0.0012090435,0.007137952],"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":[0.00005474768,0.000069301874,0.0002457459,0.017172126,0.00005896749,0.0002609849,0.00006283944,0.00022183663,0.0025235217,0.0012678539,0.035552096,0.94251007],"study_design_scores_gemma":[0.000008828595,0.000096282965,0.0014738502,0.0036492094,0.00007788626,0.0033999973,0.00006067824,0.00008010881,0.00068696274,0.0009948779,0.9894469,0.00002459144],"about_ca_topic_score_codex":0.0013037191,"about_ca_topic_score_gemma":0.0021840534,"teacher_disagreement_score":0.010473588,"about_ca_system_score_codex":0.0004924651,"about_ca_system_score_gemma":0.0011857303,"threshold_uncertainty_score":0.035037637},"labels":[],"label_agreement":null},{"id":"W1977224142","doi":"10.1007/s10278-009-9220-x","title":"Virtual Organization of Hospital Medical Imaging: A User Satisfaction Survey","year":2009,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"User satisfaction; Quality (philosophy); Patient satisfaction; Perception; Medical imaging; Radiological weapon; Medicine; Medical emergency; Family medicine; Knowledge management; Psychology; Nursing; Computer science; Human–computer interaction; Radiology","score_opus":0.005986761011923829,"score_gpt":0.24724495312108524,"score_spread":0.2412581921091614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977224142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985056,0.00006162722,0.00011361389,0.00016177785,0.0000075175417,0.000018281331,0.0001539837,0.0000061709766,0.0009714737],"genre_scores_gemma":[0.9987651,0.0000793517,0.00021571697,0.00017949569,0.000011210567,0.000017659266,0.00018140365,0.0000064779706,0.00054360746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978861,0.0008168243,0.0003246136,0.00009714003,0.00055274955,0.00032243223],"domain_scores_gemma":[0.9848203,0.0041826847,0.004305511,0.00042795183,0.002797934,0.0034655074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003164673,0.00017570905,0.000409652,0.0015315716,0.00073489285,0.0012022875,0.0002803959,0.0006757459,0.0032485873],"category_scores_gemma":[0.010744687,0.00021286948,0.0006564695,0.0012785603,0.00029741894,0.0010149224,0.00091444247,0.00057696964,0.0005593275],"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":[0.00024871546,0.00055215356,0.9851341,0.000035459238,0.000059300084,0.00013451758,0.0025818758,0.00009430671,0.00023559293,0.00006238741,0.00070219644,0.010159403],"study_design_scores_gemma":[0.000021231874,0.0009503857,0.98777384,0.00002034304,0.000043923115,0.00032283802,0.008594699,0.00077487965,0.00017156039,0.000033278546,0.0012696813,0.000023373177],"about_ca_topic_score_codex":0.0036000127,"about_ca_topic_score_gemma":0.004976215,"teacher_disagreement_score":0.0036000127,"about_ca_system_score_codex":0.00065921334,"about_ca_system_score_gemma":0.00051685947,"threshold_uncertainty_score":0.016736627},"labels":[],"label_agreement":null},{"id":"W1978768524","doi":"10.1118/1.4875688","title":"Noise, sampling, and the number of projections in cone-beam CT with a flat-panel detector","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; National Cancer Institute; Tianjin University; Johns Hopkins University","keywords":"Noise (video); Quantum noise; Optical transfer function; Gradient noise; Image noise; Value noise; Sampling (signal processing); Noise power; Clutter; Flat panel detector; Detector; Imaging phantom; Noise reduction; Cone beam computed tomography; Optics; Aliasing; Physics; Noise measurement; Mathematics; Noise floor; Computer science; Acoustics; Computer vision; Filter (signal processing); Power (physics); Telecommunications; Quantum; Image (mathematics); Radar; Medicine","score_opus":0.016978669078363148,"score_gpt":0.2700747909607712,"score_spread":0.25309612188240804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978768524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7803871,0.0014588414,0.21685123,0.00014563192,0.000014654495,0.00006596469,0.00007789162,0.00023962239,0.0007590691],"genre_scores_gemma":[0.96203184,0.0002730326,0.037170187,0.00006496086,0.00001122476,0.00003847747,0.00009000578,0.000050981216,0.00026923063],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823016,0.0005482945,0.00007396993,0.0003079501,0.0007660753,0.00007344806],"domain_scores_gemma":[0.9856936,0.011662472,0.0011719813,0.00041479061,0.000827257,0.00022997094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029660603,0.0005327863,0.00043923812,0.0005270231,0.00027546447,0.0007437613,0.0005672335,0.00063427986,0.0005033063],"category_scores_gemma":[0.017905686,0.000599413,0.00027106568,0.00050541054,0.0008213108,0.0012037554,0.00049036613,0.00038394658,0.00018361922],"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":[0.005195828,0.00045602096,0.100182176,0.0008080502,0.00019562275,0.0014087189,0.0007825761,0.1715342,0.59520984,0.002705394,0.00039137073,0.121130124],"study_design_scores_gemma":[0.00007467923,0.0019977593,0.16421916,0.000107781816,0.00026769264,0.0030354096,0.00018901708,0.5245864,0.30157724,0.0027777092,0.0010320265,0.00013515259],"about_ca_topic_score_codex":0.0015794142,"about_ca_topic_score_gemma":0.0018929781,"teacher_disagreement_score":0.0029660603,"about_ca_system_score_codex":0.00088844803,"about_ca_system_score_gemma":0.00058689347,"threshold_uncertainty_score":0.015686214},"labels":[],"label_agreement":null},{"id":"W1978773828","doi":"10.1117/12.811621","title":"A remote real-time PACS-based platform for medical imaging telemedicine","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Telemedicine; Computer science; Visualization; Multimedia; Resource (disambiguation); Medical imaging; Medical services; Health care; Human–computer interaction; Artificial intelligence","score_opus":0.00791693860003659,"score_gpt":0.24374216447579025,"score_spread":0.23582522587575366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978773828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024136882,0.001230946,0.88890743,0.001384471,0.0010202691,0.0018254106,0.0009994897,0.046372633,0.034122482],"genre_scores_gemma":[0.22339764,0.0010672496,0.7293016,0.0015109625,0.0009487582,0.0013628069,0.002659001,0.002064481,0.037687544],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987387,0.0002570405,0.00010574607,0.00019629012,0.0005766014,0.00012560721],"domain_scores_gemma":[0.998928,0.0001910443,0.00008519692,0.00025292105,0.0003143534,0.00022848333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011280446,0.0005798524,0.0006675018,0.000942132,0.00055098074,0.0017629099,0.0023276184,0.0015834732,0.015223938],"category_scores_gemma":[0.002311589,0.00039831104,0.00057172857,0.0004931759,0.00036029797,0.0013868423,0.002221918,0.0011229133,0.007331879],"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":[0.0021271738,0.0006410158,0.0022849445,0.0010527001,0.00015202806,0.003802661,0.001042971,0.010428452,0.16940866,0.03131496,0.123012565,0.654732],"study_design_scores_gemma":[0.0010178981,0.0013162678,0.0067003784,0.0005319451,0.00030150206,0.008068545,0.00036901477,0.1683133,0.14275986,0.0147952605,0.6553238,0.0005021846],"about_ca_topic_score_codex":0.00073071395,"about_ca_topic_score_gemma":0.00053912983,"teacher_disagreement_score":0.015223938,"about_ca_system_score_codex":0.00050303625,"about_ca_system_score_gemma":0.0009867563,"threshold_uncertainty_score":0.05092919},"labels":[],"label_agreement":null},{"id":"W1979284179","doi":"10.1088/0031-9155/56/18/009","title":"Single-layer and dual-layer contrast-enhanced mammography using amorphous selenium flat panel detectors","year":2011,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":22,"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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flat panel detector; Dual layer; Flat panel; Mammography; Detector; Contrast (vision); Materials science; Layer (electronics); Optics; Dual (grammatical number); Medicine; Physics; Composite material; Breast cancer; Internal medicine","score_opus":0.2562841858940808,"score_gpt":0.3382808270047875,"score_spread":0.0819966411107067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979284179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96261996,0.0016978793,0.033559214,0.00007175611,0.000031209573,0.000058250025,0.00020892189,0.00027815913,0.0014746444],"genre_scores_gemma":[0.9207033,0.00084010046,0.07641667,0.00003971255,0.0000107983215,0.000030188938,0.00017105725,0.000033538257,0.0017546724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995134,0.0000977608,0.000023897072,0.00012323898,0.00018965709,0.00005202083],"domain_scores_gemma":[0.99933296,0.00024483431,0.00010454017,0.0000999879,0.00016093526,0.000056598485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007801351,0.00033526638,0.00061949703,0.00066200877,0.000114858325,0.0005813069,0.00074460596,0.00065742177,0.0010869638],"category_scores_gemma":[0.001436341,0.0004567045,0.00038212977,0.00053362595,0.00023441324,0.00061238534,0.00051745493,0.00023274007,0.0002981645],"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":[0.0018673489,0.00011849295,0.008529048,0.00027507855,0.00013770681,0.00024904488,0.00006946524,0.0029558546,0.94704294,0.0005344343,0.00024468792,0.03797594],"study_design_scores_gemma":[0.00007689431,0.0016973924,0.02419631,0.000034036428,0.00016002693,0.0023072783,0.00007631461,0.04394932,0.9253086,0.00021242096,0.0018967917,0.0000845931],"about_ca_topic_score_codex":0.00047292226,"about_ca_topic_score_gemma":0.00086498767,"teacher_disagreement_score":0.0010869638,"about_ca_system_score_codex":0.00024641273,"about_ca_system_score_gemma":0.00019294789,"threshold_uncertainty_score":0.004125774},"labels":[],"label_agreement":null},{"id":"W1979426555","doi":"10.1118/1.2241908","title":"TH‐D‐ValB‐07: Development of a Novel High Quantum Efficiency Flat Panel Detector for Megavoltage Cone Beam CT/DT: Construction and Evaluation of a Prototype Single‐Row Detector","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Detective quantum efficiency; Detector; Optics; Ionization chamber; Imaging phantom; Physics; Dot pitch; Quantum efficiency; Flat panel detector; Materials science; Nuclear medicine; Pixel; Ionization; Image quality; Computer science; Medicine","score_opus":0.03461466342193045,"score_gpt":0.27100255835713594,"score_spread":0.23638789493520548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979426555","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6919398,0.001686468,0.29774654,0.00035874927,0.00015962165,0.0007583727,0.0011401934,0.0028037713,0.0034064748],"genre_scores_gemma":[0.5451378,0.0005100098,0.44707412,0.00017206119,0.000022506196,0.00024295501,0.0010585281,0.0001725573,0.0056094187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956304,0.000053862852,0.000014109537,0.0001289375,0.00020095978,0.00003911512],"domain_scores_gemma":[0.9994554,0.000071339746,0.00007138337,0.0000951334,0.00019621043,0.00011059542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007964863,0.00038710504,0.00061261444,0.00033771852,0.00019549229,0.00058824115,0.0015369662,0.00093876926,0.0018524396],"category_scores_gemma":[0.000534213,0.0004701445,0.00045636398,0.00027903475,0.0002996272,0.0006193978,0.00045845253,0.00047924242,0.001028085],"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":[0.0002647452,0.00017119174,0.0017273421,0.00023096817,0.000037227594,0.0002455761,0.00005668378,0.0014424564,0.97017044,0.00040775366,0.00090295076,0.024342675],"study_design_scores_gemma":[0.00007673336,0.0011008709,0.004177407,0.00001218321,0.0000346301,0.0012163725,0.000026786265,0.01632339,0.97049487,0.00005761078,0.0064320825,0.000047166333],"about_ca_topic_score_codex":0.0005647296,"about_ca_topic_score_gemma":0.00061998575,"teacher_disagreement_score":0.0018524396,"about_ca_system_score_codex":0.00038534438,"about_ca_system_score_gemma":0.00063585513,"threshold_uncertainty_score":0.006197095},"labels":[],"label_agreement":null},{"id":"W1980138609","doi":"10.1158/1940-6207.prev-08-cn13-02","title":"Abstract CN13-02: Breast tissue composition and risk of breast cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Prevention Research","topic":"Digital Radiography and Breast Imaging","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":"Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Medicine; Anthropometry; Mammography; Breast density; Breast feeding; Gynecology; Internal medicine; Cancer; Pediatrics","score_opus":0.04760088121353593,"score_gpt":0.3941787352508383,"score_spread":0.34657785403730235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980138609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926005,0.00047222443,0.00024822477,0.00013209747,0.000019027035,0.000041982552,0.004416967,0.000015726095,0.0020532273],"genre_scores_gemma":[0.9910659,0.0001979616,0.00059875025,0.000075920565,0.000024342993,0.000049185317,0.003894996,0.000013141682,0.0040797414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997186,0.000074564115,0.000017942297,0.00006192545,0.000085355154,0.000041618066],"domain_scores_gemma":[0.9991704,0.000093113726,0.00029031892,0.000036229332,0.00017264293,0.0002373836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925036,0.00043463032,0.00026844878,0.0008024039,0.00036761933,0.00032079028,0.0005733835,0.0004040204,0.008140495],"category_scores_gemma":[0.0012077384,0.00014568117,0.00019737708,0.0013217636,0.00019117574,0.000154341,0.0003863841,0.00027823035,0.0009858091],"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":[0.00059438247,0.0000832791,0.9924144,0.000019552606,0.00005301863,0.000081872415,0.000018103772,0.00007744601,0.0020989953,0.000030651547,0.00077640987,0.0037518188],"study_design_scores_gemma":[0.000015046275,0.00013361807,0.99823403,0.000007235686,0.000019399615,0.00027578868,0.00002380336,0.00017532118,0.00041255212,0.000026725651,0.0006739958,0.0000024616468],"about_ca_topic_score_codex":0.021320455,"about_ca_topic_score_gemma":0.0179968,"teacher_disagreement_score":0.021320455,"about_ca_system_score_codex":0.0005106058,"about_ca_system_score_gemma":0.00052768737,"threshold_uncertainty_score":0.04239273},"labels":[],"label_agreement":null},{"id":"W1980150574","doi":"10.1117/12.845568","title":"A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk population","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Magnetic resonance imaging; Mammography; Breast density; Breast MRI; Medicine; Digital mammography; Nuclear medicine; Population; Correlation; Radiology; Mathematics; Cancer; Internal medicine","score_opus":0.006571138171393652,"score_gpt":0.22278552088088438,"score_spread":0.21621438270949073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980150574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99948573,0.0001203139,0.00019779116,0.000009746304,0.000002028032,0.000007998358,0.000028308252,0.0000027608867,0.000145293],"genre_scores_gemma":[0.99945396,0.00004748127,0.00027426393,0.000014185303,0.000009739119,0.0000095440555,0.00010341264,0.0000026297541,0.00008465816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988117,0.0004853516,0.00008179864,0.00021398538,0.000324744,0.00008246803],"domain_scores_gemma":[0.99796,0.00089829875,0.00029554896,0.00021226938,0.00044373714,0.00019021229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002012965,0.0003837814,0.0004059724,0.0010482714,0.00035774536,0.00048028576,0.00027452532,0.0005552065,0.0007671349],"category_scores_gemma":[0.00694109,0.00021753863,0.0003048704,0.0005225435,0.00031836051,0.0004762128,0.0005043475,0.0002351811,0.0002845383],"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":[0.0006126017,0.00020174937,0.9890876,0.000029423769,0.0000883319,0.0002060804,0.0005266397,0.00007364145,0.0020221022,0.000027135933,0.000044619817,0.0070801754],"study_design_scores_gemma":[0.000039074646,0.0016566088,0.99441767,0.0000065449726,0.00008257497,0.0012414462,0.00055475475,0.000466344,0.0011434907,0.00003846914,0.0003380584,0.000014965141],"about_ca_topic_score_codex":0.0014828969,"about_ca_topic_score_gemma":0.0011845372,"teacher_disagreement_score":0.002012965,"about_ca_system_score_codex":0.00021083179,"about_ca_system_score_gemma":0.00015828945,"threshold_uncertainty_score":0.010645747},"labels":[],"label_agreement":null},{"id":"W1981268391","doi":"10.1118/1.3244112","title":"Poster — Wed Eve—08: Effectiveness RMI‐156 Mammography Accreditation Phantom in Evaluating Digital Mammography Systems","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"BC Cancer Agency","funders":"","keywords":"Imaging phantom; Mammography; Digital mammography; Image quality; Pixel; Computer science; Medical physics; Medicine; Artificial intelligence; Nuclear medicine; Image (mathematics); Breast cancer","score_opus":0.017164464885421137,"score_gpt":0.30950154755468207,"score_spread":0.29233708266926095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981268391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78751034,0.001776867,0.024561008,0.0016630392,0.0013762946,0.0017854895,0.0022943374,0.0017003351,0.17733234],"genre_scores_gemma":[0.83646286,0.0006659872,0.03508688,0.0005068269,0.00028557287,0.0003588855,0.0028063909,0.00053973985,0.12328685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991928,0.00020502882,0.00005553765,0.00013042097,0.00034290607,0.000073327596],"domain_scores_gemma":[0.9984118,0.00040373325,0.0001557745,0.000203346,0.000587019,0.0002383767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034510545,0.00053026713,0.00025917136,0.0006112564,0.0003345681,0.0011445688,0.00043647565,0.00080321176,0.03760031],"category_scores_gemma":[0.0027291677,0.00022575381,0.0003310753,0.0002165833,0.0003347225,0.00046882767,0.0008021856,0.0004968335,0.008897737],"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":[0.014629913,0.0030332985,0.04932553,0.0014472954,0.0001369166,0.00076239876,0.000744057,0.0032120007,0.47272828,0.0028103767,0.06088708,0.39028275],"study_design_scores_gemma":[0.0007184823,0.015917417,0.22774988,0.00032355604,0.00021110973,0.0033657972,0.0005498182,0.012089529,0.6470598,0.00081935327,0.09098059,0.00021464046],"about_ca_topic_score_codex":0.00040894287,"about_ca_topic_score_gemma":0.0007612239,"teacher_disagreement_score":0.03760031,"about_ca_system_score_codex":0.0005235778,"about_ca_system_score_gemma":0.0003232352,"threshold_uncertainty_score":0.12578559},"labels":[],"label_agreement":null},{"id":"W1981653251","doi":"10.1118/1.3676740","title":"Spectral analysis of mammographic images using a multitaper method","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Multitaper; Imaging phantom; Variance reduction; Spectral density; Spectral leakage; Mathematics; Spectral density estimation; Noise (video); Image resolution; Image quality; Computer science; Algorithm; Artificial intelligence; Statistics; Optics; Monte Carlo method; Image (mathematics)","score_opus":0.023635353061693173,"score_gpt":0.33352930147102505,"score_spread":0.3098939484093319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981653251","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08313352,0.0005311758,0.9134626,0.000086572596,0.000045248224,0.00009650488,0.00011991261,0.0010224378,0.0015020337],"genre_scores_gemma":[0.2152505,0.00080470304,0.781855,0.00007250226,0.00008435601,0.00014114907,0.00018986131,0.00021785693,0.0013841649],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993125,0.00013931608,0.000031518255,0.00011812928,0.000375997,0.000022491637],"domain_scores_gemma":[0.99840623,0.0007127057,0.00018253167,0.0002626594,0.00039329162,0.000042577572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007374384,0.00045746635,0.00027837366,0.0013815771,0.00020613277,0.00052848266,0.00053854636,0.0005058636,0.0030542053],"category_scores_gemma":[0.0030266792,0.00021651846,0.0003711329,0.001089497,0.00038386002,0.0010707123,0.0004956661,0.0006095402,0.0009795909],"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":[0.0003993447,0.00012099611,0.0033679483,0.00040540122,0.000094980365,0.00022463613,0.00028373022,0.0049136262,0.5929736,0.0022534742,0.000805561,0.39415666],"study_design_scores_gemma":[0.000077015924,0.0013713981,0.030272385,0.000116550706,0.00024367568,0.004056742,0.00024864648,0.26931077,0.67555207,0.003490568,0.01508977,0.00017036224],"about_ca_topic_score_codex":0.00038451212,"about_ca_topic_score_gemma":0.00076259323,"teacher_disagreement_score":0.0030542053,"about_ca_system_score_codex":0.00022517855,"about_ca_system_score_gemma":0.00031342576,"threshold_uncertainty_score":0.010217309},"labels":[],"label_agreement":null},{"id":"W1982382147","doi":"10.1118/1.1507779","title":"Development of high quantum efficiency flat panel detectors for portal imaging: Intrinsic spatial resolution","year":2002,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Detective quantum efficiency; Optical transfer function; Optics; Quantum efficiency; Detector; Flat panel; Flat panel detector; Image resolution; X-ray detector; Photon; Image quality; Dark current; Optoelectronics; Physics; Materials science; Energy conversion efficiency; Photon counting; Computer science","score_opus":0.02451179657812649,"score_gpt":0.24603045234525478,"score_spread":0.2215186557671283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982382147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2589103,0.0039537726,0.73122287,0.00026199443,0.000047817754,0.00012618597,0.00010584013,0.0004921561,0.004879074],"genre_scores_gemma":[0.76443577,0.001683445,0.2309292,0.00009711745,0.000017963688,0.00006369222,0.000113479015,0.0000548189,0.0026043933],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971086,0.00005025442,0.000008313624,0.00006591584,0.00013554428,0.000029067472],"domain_scores_gemma":[0.9997212,0.00013480213,0.000042579853,0.000034877772,0.00005400955,0.000012552465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005708413,0.00033127138,0.00037134805,0.00016146264,0.00015292647,0.00058606145,0.0007280178,0.0009333671,0.00053069944],"category_scores_gemma":[0.0008809239,0.00042701673,0.0004225544,0.00023595577,0.00047504168,0.00094854896,0.000258874,0.00065747974,0.00024338806],"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":[0.000105624975,0.00007707323,0.0017895224,0.00035296814,0.000067021225,0.0005827124,0.00013011858,0.045965873,0.90577745,0.021996452,0.00046747347,0.022687623],"study_design_scores_gemma":[0.000036345835,0.0004299694,0.0053356327,0.00003067765,0.000044497756,0.0011344282,0.000050824237,0.30954704,0.67434007,0.0028018947,0.006167683,0.00008092874],"about_ca_topic_score_codex":0.0005093924,"about_ca_topic_score_gemma":0.0004956914,"teacher_disagreement_score":0.0009333671,"about_ca_system_score_codex":0.0004780281,"about_ca_system_score_gemma":0.00029793603,"threshold_uncertainty_score":0.0034683347},"labels":[],"label_agreement":null},{"id":"W1982789128","doi":"10.1118/1.2335491","title":"X-ray imaging with amorphous selenium: Pulse height measurements of avalanche gain fluctuations","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Detective quantum efficiency; Optics; Physics; X-ray detector; Quantum efficiency; Avalanche photodiode; X-ray; Materials science; Detector; Image quality","score_opus":0.012798038980131595,"score_gpt":0.23944538042536406,"score_spread":0.22664734144523246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982789128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773703,0.00067144237,0.020558221,0.000031997668,0.000009057925,0.000038885846,0.00009839429,0.00013699834,0.001084674],"genre_scores_gemma":[0.98568755,0.0003533641,0.013305778,0.000018185956,0.0000059347294,0.000016043892,0.00007593325,0.000018009068,0.00051913824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998615,0.0000207919,0.000007689748,0.000030443602,0.00006513435,0.000014412543],"domain_scores_gemma":[0.99938214,0.00031975188,0.00009086243,0.00004952492,0.000117119154,0.000040499082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028320754,0.00019144353,0.00012671638,0.00043940186,0.00012463388,0.00029296952,0.0003127756,0.0002820795,0.0006890643],"category_scores_gemma":[0.0011029015,0.00014074439,0.00010107864,0.0005624981,0.0002713315,0.0003850952,0.0002490584,0.00040502517,0.00011046213],"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":[0.00022557148,0.000028535296,0.0024139665,0.000039532715,0.00000848907,0.00004487199,0.00008096949,0.00037053227,0.98743963,0.00021829928,0.000035653982,0.009093968],"study_design_scores_gemma":[0.0000125804,0.0003066372,0.01741223,0.000005317192,0.000011528955,0.00030661645,0.000046557274,0.0059665903,0.97543544,0.00014945671,0.0003356711,0.000011373728],"about_ca_topic_score_codex":0.0006944233,"about_ca_topic_score_gemma":0.0006588456,"teacher_disagreement_score":0.0006944233,"about_ca_system_score_codex":0.00032048032,"about_ca_system_score_gemma":0.00011293245,"threshold_uncertainty_score":0.0023252368},"labels":[],"label_agreement":null},{"id":"W1984013746","doi":"10.1088/0031-9155/57/22/7443","title":"Volumetric breast density characteristics as determined from digital mammograms","year":2012,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Breast density; Volume (thermodynamics); Mammography; MAMMOGRAPHIC DENSITY; Digital mammography; Breast tissue; Nuclear medicine; Medicine; Breast cancer; Mathematics; Materials science; Biomedical engineering; Physics; Cancer; Internal medicine","score_opus":0.09217935609834818,"score_gpt":0.3383175890433535,"score_spread":0.24613823294500534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984013746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95184964,0.00094205874,0.040207617,0.00005699282,0.000019987423,0.00014015198,0.0025874975,0.0004996429,0.0036964873],"genre_scores_gemma":[0.97458875,0.00032710365,0.022133429,0.00003232726,0.00001370791,0.00007150153,0.0015664782,0.000057768237,0.001209005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994985,0.00008210898,0.00003125485,0.00008914673,0.00027170088,0.00002742339],"domain_scores_gemma":[0.99880505,0.0005020845,0.00022480356,0.0000992199,0.00033565884,0.000033145432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008303516,0.00024258046,0.0002629654,0.0019094505,0.00013369547,0.00068897795,0.00030368596,0.00020354318,0.0010582932],"category_scores_gemma":[0.0054380214,0.00016339161,0.00017310223,0.0008862351,0.00023704376,0.00023335245,0.00031484503,0.00012412305,0.0003912083],"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":[0.0009215624,0.000047979094,0.71701,0.00023224895,0.0001745851,0.00025036905,0.00043659285,0.008626109,0.05030044,0.0008791212,0.001496923,0.219624],"study_design_scores_gemma":[0.00003809414,0.00016923342,0.9208086,0.00004090039,0.000093898234,0.0019803692,0.00024955685,0.027063563,0.043565866,0.00074756396,0.0051868814,0.000055548986],"about_ca_topic_score_codex":0.0040972335,"about_ca_topic_score_gemma":0.004450642,"teacher_disagreement_score":0.0040972335,"about_ca_system_score_codex":0.0003817178,"about_ca_system_score_gemma":0.00020527332,"threshold_uncertainty_score":0.008146763},"labels":[],"label_agreement":null},{"id":"W1984473139","doi":"10.1118/1.4822484","title":"Spatial frequency spectrum of the x‐ray scatter distribution in CBCT projections","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast 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; Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Monte Carlo method; Cone beam computed tomography; Projection (relational algebra); Fourier transform; Optics; Spatial frequency; Physics; Mathematics; Algorithm; Mathematical analysis; Statistics; Computed tomography","score_opus":0.007920094840472238,"score_gpt":0.2353764758037108,"score_spread":0.22745638096323856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984473139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8246271,0.00026751976,0.17249918,0.000102604856,0.000009791973,0.000034176952,0.00017059915,0.00044242118,0.001846588],"genre_scores_gemma":[0.9751406,0.00014671098,0.023896048,0.000017121796,0.0000052415808,0.000024718458,0.00023030108,0.000090762886,0.00044847516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998336,0.00003089539,0.000007730023,0.00002114443,0.000093842114,0.000012760013],"domain_scores_gemma":[0.9992913,0.00036157286,0.000075901364,0.0000634533,0.00018283536,0.000024901094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004796894,0.00023217956,0.00014471397,0.00083083764,0.0001792514,0.0004109412,0.00022319217,0.00026441476,0.0013031507],"category_scores_gemma":[0.0017049764,0.00017092182,0.00020283084,0.00048547526,0.00046579988,0.00029399473,0.00024091238,0.000240622,0.00024332959],"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":[0.0015490523,0.00017187957,0.055010457,0.0004994747,0.00009875665,0.0013820102,0.0011414156,0.20515132,0.54066473,0.0062132184,0.0014747226,0.18664297],"study_design_scores_gemma":[0.00006182642,0.00030236668,0.12786214,0.00010415109,0.000082613515,0.0033105812,0.00030178708,0.57721245,0.28457224,0.0032188946,0.0028906248,0.00008027491],"about_ca_topic_score_codex":0.0015483518,"about_ca_topic_score_gemma":0.00078358024,"teacher_disagreement_score":0.0015483518,"about_ca_system_score_codex":0.00034469052,"about_ca_system_score_gemma":0.00032917247,"threshold_uncertainty_score":0.004359424},"labels":[],"label_agreement":null},{"id":"W1984838591","doi":"10.1118/1.1446100","title":"Noise aliasing in interline‐video‐based fluoroscopy systems","year":2002,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Robarts Clinical Trials; London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Aliasing; Noise (video); Computer science; Computer vision; Image noise; Noise power; Artificial intelligence; Dark-frame subtraction; Optics; Physics; Image processing; Power (physics); Image (mathematics); Median filter; Filter (signal processing)","score_opus":0.02284759881644328,"score_gpt":0.26974446257916324,"score_spread":0.24689686376271996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984838591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22518352,0.0014657805,0.7695238,0.0001426447,0.000029347008,0.0001065161,0.000063769774,0.00077820447,0.002706482],"genre_scores_gemma":[0.87716943,0.0009586117,0.1193526,0.000106318825,0.000030432746,0.0001075495,0.00017438007,0.00017564118,0.0019251026],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986216,0.00034962475,0.0000657064,0.00023109427,0.0006648261,0.000067120534],"domain_scores_gemma":[0.99647224,0.00212639,0.0005910513,0.00025501242,0.00050000625,0.000055285745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009934476,0.00048101126,0.00047237755,0.00073227054,0.0004036314,0.0008529742,0.0010391724,0.00076408155,0.001457923],"category_scores_gemma":[0.0046464284,0.00040484895,0.00034642185,0.00073355535,0.00057188096,0.001258173,0.00045554186,0.0004913777,0.00041162164],"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":[0.0017942268,0.00023596128,0.010858733,0.00081403274,0.00009672581,0.00081352313,0.0011844517,0.06364299,0.74505514,0.012448049,0.0006788039,0.16237739],"study_design_scores_gemma":[0.000045180164,0.0016077807,0.024285702,0.00013694275,0.0001280165,0.0016662228,0.00016484836,0.2872596,0.6723197,0.004374112,0.00790447,0.00010743462],"about_ca_topic_score_codex":0.0018327327,"about_ca_topic_score_gemma":0.0012499297,"teacher_disagreement_score":0.0018327327,"about_ca_system_score_codex":0.0014599646,"about_ca_system_score_gemma":0.0003536931,"threshold_uncertainty_score":0.010592878},"labels":[],"label_agreement":null},{"id":"W1986014640","doi":"10.1007/s10549-008-0099-x","title":"Columnar cell lesions, mammographic density and breast cancer risk","year":2008,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Occupational Cancer Research Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Breast cancer; Breast tissue; Medicine; Pathology; Ductal carcinoma; Mammography; Mammary gland; MAMMOGRAPHIC DENSITY; Mastectomy; Cancer; Internal medicine","score_opus":0.03611311614348632,"score_gpt":0.3186660573304242,"score_spread":0.28255294118693786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986014640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923902,0.0033831866,0.00020041266,0.00061297097,0.0000408212,0.000008014679,0.0002950053,0.000016616877,0.0030528144],"genre_scores_gemma":[0.99758196,0.0007207029,0.000175213,0.000060563547,0.00009298875,0.000004470224,0.00014499523,0.0000038064563,0.0012152587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997646,0.00008202455,0.000021509539,0.000034740122,0.000064670035,0.000032395903],"domain_scores_gemma":[0.99737716,0.0010842027,0.0007257044,0.00013211231,0.00015884594,0.00052199943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005077416,0.0002587896,0.00030458136,0.00080449553,0.0003548101,0.0009168853,0.00035733002,0.0010641499,0.0054798257],"category_scores_gemma":[0.006021253,0.00030107642,0.000355877,0.00095194735,0.00035692845,0.0005761168,0.00025159185,0.00085792557,0.00048697155],"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":[0.00023146976,0.00007565944,0.9964264,0.000013030117,0.000066029046,0.00010042154,0.000033878874,0.0000528634,0.0001650447,0.00007147106,0.00014913402,0.002614576],"study_design_scores_gemma":[0.000010685155,0.0001116085,0.9977216,0.0000074181667,0.000105766194,0.0008212059,0.00013921624,0.00047050053,0.000053617696,0.00020227641,0.00035119895,0.000004913407],"about_ca_topic_score_codex":0.0071614524,"about_ca_topic_score_gemma":0.008046543,"teacher_disagreement_score":0.0071614524,"about_ca_system_score_codex":0.00029528295,"about_ca_system_score_gemma":0.0004850009,"threshold_uncertainty_score":0.018331826},"labels":[],"label_agreement":null},{"id":"W1986220744","doi":"10.1053/j.sembd.2007.01.003","title":"Mobile Full-Field Digital Telemammography With Satellite Transmission of Images","year":2006,"lang":"en","type":"article","venue":"Seminars in Breast Disease","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"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 Toronto","keywords":"Digital mammography; Satellite; Transmission (telecommunications); Mammography; Medicine; Medical physics; Computer science; Remote sensing; Telecommunications; Geography; Engineering; Breast cancer","score_opus":0.0021569499695859085,"score_gpt":0.20909843515616577,"score_spread":0.20694148518657987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986220744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67885303,0.004202777,0.23415124,0.0012564518,0.00067197497,0.0008050986,0.0019492467,0.00408553,0.07402469],"genre_scores_gemma":[0.925757,0.0007265132,0.05489918,0.0002085147,0.00035708415,0.00015942843,0.0004975465,0.00013577941,0.01725892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996445,0.00010720977,0.000018768222,0.000059859714,0.00012531165,0.000044353194],"domain_scores_gemma":[0.999328,0.00021365112,0.00005636814,0.00022322709,0.00011726637,0.000061513514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004556993,0.00039186224,0.00044333065,0.0012015571,0.00036837888,0.0006122523,0.00055138365,0.00060797046,0.025120387],"category_scores_gemma":[0.001310783,0.00025252815,0.00035907349,0.0009022661,0.00029260077,0.0006908522,0.0008891633,0.00034267578,0.0028648844],"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":[0.0074859113,0.0006113937,0.02203012,0.0007747603,0.00019407581,0.0034381605,0.00061766047,0.0074954336,0.24532421,0.003454146,0.013219431,0.6953547],"study_design_scores_gemma":[0.0028829584,0.01342761,0.19774298,0.00091093255,0.001586593,0.103847094,0.0016318857,0.16275904,0.34060875,0.009284052,0.1648473,0.00047080466],"about_ca_topic_score_codex":0.00078459416,"about_ca_topic_score_gemma":0.0010507312,"teacher_disagreement_score":0.025120387,"about_ca_system_score_codex":0.00028109102,"about_ca_system_score_gemma":0.00028364503,"threshold_uncertainty_score":0.08403605},"labels":[],"label_agreement":null},{"id":"W1986320609","doi":"10.1186/1472-6963-8-234","title":"Impact of picture archiving communication systems on rates of duplicate imaging: a before-after study","year":2008,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; McMaster University","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Heart and Stroke Foundation of Canada","keywords":"Medicine; Pelvis; Health informatics; Nuclear medicine; Medical imaging; Radiology; DICOM; Abdomen; Neuroradiology; Radiology information systems; Picture archiving and communication system; Medical physics; Public health; Neurology; Pathology","score_opus":0.05238796233225029,"score_gpt":0.43543842404264704,"score_spread":0.38305046171039675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986320609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997985,0.0005933836,0.00012365919,0.00009995821,0.000023464232,0.000080419704,0.00030511987,0.0000044654666,0.000784596],"genre_scores_gemma":[0.9987941,0.00015118634,0.00012900526,0.00008521842,0.00004089382,0.000044350127,0.0002969002,0.0000065124877,0.0004518996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99090904,0.002682448,0.00076764094,0.0012800714,0.0032564371,0.001104217],"domain_scores_gemma":[0.9489509,0.017394768,0.02040184,0.0042048558,0.0059399223,0.0031076805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007697879,0.00041047996,0.000625722,0.0010774123,0.000852245,0.0011957723,0.0010134615,0.00094196055,0.0022783894],"category_scores_gemma":[0.027425548,0.00051978545,0.0020638648,0.0014572324,0.0010619451,0.00086685363,0.0007840228,0.0015527997,0.00034472023],"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":[0.0036422154,0.00079499185,0.9901037,0.000051815536,0.00037378984,0.00008301495,0.00032699993,0.000067709734,0.00013305852,0.000032354445,0.00020988836,0.0041805385],"study_design_scores_gemma":[0.000041807285,0.0013625431,0.99793327,0.000008802466,0.00010305166,0.000037306218,0.00014881488,0.00006534396,0.00007647019,0.000007821591,0.00020800636,0.00000691427],"about_ca_topic_score_codex":0.054337002,"about_ca_topic_score_gemma":0.054762088,"teacher_disagreement_score":0.054337002,"about_ca_system_score_codex":0.0032112368,"about_ca_system_score_gemma":0.003009711,"threshold_uncertainty_score":0.108041465},"labels":[],"label_agreement":null},{"id":"W1986753552","doi":"10.1118/1.4865175","title":"Method of measuring NEQ as a quality control metric for digital mammography","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Mammography; Image quality; Digital mammography; Optical transfer function; Noise (video); Reproducibility; Quality assurance; Computer science; Medical physics; Optics; Computer vision; Mathematics; Physics; Medicine; Image (mathematics); Statistics","score_opus":0.02357030306406757,"score_gpt":0.3220193219710157,"score_spread":0.2984490189069481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986753552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043900885,0.002059559,0.94931656,0.00017146119,0.00016413121,0.00094848755,0.00045485125,0.0011247749,0.0018592892],"genre_scores_gemma":[0.21116091,0.000968794,0.7833195,0.0002212932,0.000045087465,0.002253592,0.0004798682,0.00023591904,0.0013150836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9882798,0.0027111033,0.000750763,0.0014643546,0.006679151,0.00011473147],"domain_scores_gemma":[0.9845521,0.0055368217,0.0020361003,0.002385733,0.005334898,0.0001542873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00866957,0.001219935,0.0008665105,0.002541036,0.00061918446,0.001326712,0.0018215888,0.001244071,0.0016891051],"category_scores_gemma":[0.025720237,0.00069401803,0.00056924013,0.0020930227,0.0013283506,0.0010612236,0.0012038648,0.0010288003,0.00070384704],"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":[0.00083981716,0.0004497188,0.03564408,0.0018122992,0.00032291093,0.00016002227,0.0006019753,0.005630993,0.7364357,0.0039374297,0.0019518848,0.21221325],"study_design_scores_gemma":[0.00014927701,0.0018972243,0.07106355,0.00030136213,0.00034962784,0.001952066,0.00017823794,0.054802053,0.84641516,0.0022998864,0.020210482,0.00038121908],"about_ca_topic_score_codex":0.0013706667,"about_ca_topic_score_gemma":0.00193,"teacher_disagreement_score":0.00866957,"about_ca_system_score_codex":0.0015191959,"about_ca_system_score_gemma":0.0012327501,"threshold_uncertainty_score":0.04584962},"labels":[],"label_agreement":null},{"id":"W1986978712","doi":"10.1118/1.2977536","title":"Normalization of the modulation transfer function: The open‐field approach","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast 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":"Lawson Health Research Institute; Robarts Clinical Trials; Western University","funders":"","keywords":"Normalization (sociology); Optical transfer function; Spectral leakage; Transfer function; Spatial frequency; Region of interest; Image resolution; Optics; Physics; Mathematics; Algorithm; Artificial intelligence; Computer science","score_opus":0.024337747876125203,"score_gpt":0.2435508579989184,"score_spread":0.2192131101227932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986978712","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010457461,0.0002436222,0.98337424,0.000080817656,0.00007304282,0.000043635915,0.000060606337,0.0007169245,0.0049496056],"genre_scores_gemma":[0.2976856,0.0008632849,0.69084644,0.00030163417,0.0001324892,0.00027206857,0.00044093985,0.00083575223,0.008621738],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99909353,0.00016097145,0.000036744354,0.00017855135,0.00046639133,0.00006372981],"domain_scores_gemma":[0.9983909,0.0005600662,0.00015418215,0.0003652935,0.0004890226,0.00004063842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012987464,0.00093835074,0.0004753241,0.0009287489,0.00049307384,0.0011107965,0.0016198022,0.0008104834,0.004305064],"category_scores_gemma":[0.0062198127,0.00030884263,0.0004764848,0.0008584085,0.0008196833,0.002208097,0.0012998316,0.0012676929,0.0017272688],"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":[0.00043932465,0.00028086064,0.0014583344,0.00031518348,0.00006655825,0.0003012333,0.00039250028,0.051044006,0.23387006,0.12173764,0.0049924594,0.5851019],"study_design_scores_gemma":[0.000043089087,0.00029482352,0.0036987422,0.00008875564,0.000070686016,0.0010196726,0.00013726082,0.5781298,0.29329732,0.080890864,0.042155385,0.00017363545],"about_ca_topic_score_codex":0.0011654662,"about_ca_topic_score_gemma":0.00089074945,"teacher_disagreement_score":0.004305064,"about_ca_system_score_codex":0.00093258044,"about_ca_system_score_gemma":0.00076451496,"threshold_uncertainty_score":0.014401853},"labels":[],"label_agreement":null},{"id":"W1987843434","doi":"10.1118/1.2757002","title":"The dependence of the modulation transfer function on the blocking layer thickness in amorphous selenium x‐ray detectors","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Dalsa Corporation; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Detector; Optics; Materials science; Optical transfer function; Amorphous solid; X-ray detector; Blocking (statistics); Physics; Chemistry","score_opus":0.014383874936108522,"score_gpt":0.2408137476894045,"score_spread":0.22642987275329599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987843434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888791,0.00043336803,0.009874875,0.0000647669,0.000008268,0.000020156926,0.00003453882,0.0001681336,0.0005168578],"genre_scores_gemma":[0.9949379,0.00018723542,0.0045043225,0.000023545412,0.000006563978,0.0000113519145,0.000038792066,0.000020412372,0.00027000083],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996717,0.00006383569,0.000021421893,0.000051031693,0.00012637285,0.000065665554],"domain_scores_gemma":[0.9969022,0.00198328,0.00044000486,0.00015124389,0.0004465004,0.00007683285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007670917,0.00035125605,0.0002485382,0.00028908838,0.0002146805,0.00040686777,0.0004022455,0.0004045642,0.00061032583],"category_scores_gemma":[0.0051392284,0.00028842516,0.00013650047,0.00022263639,0.00035113923,0.0006554227,0.0002405798,0.00029457323,0.00019821254],"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":[0.00027467503,0.00003234227,0.0018099503,0.00005492023,0.000010601169,0.00007791422,0.00008684709,0.0017898179,0.9886841,0.00009925913,0.000040380328,0.0070391246],"study_design_scores_gemma":[0.000024745279,0.0007306405,0.012080601,0.0000110044275,0.000029048571,0.00025810266,0.000041686697,0.011543837,0.9748478,0.00010821403,0.00031053537,0.000013801038],"about_ca_topic_score_codex":0.00082918536,"about_ca_topic_score_gemma":0.0004935544,"teacher_disagreement_score":0.00082918536,"about_ca_system_score_codex":0.0006143794,"about_ca_system_score_gemma":0.00019647954,"threshold_uncertainty_score":0.004457593},"labels":[],"label_agreement":null},{"id":"W1988329701","doi":"10.1158/1055-9965.epi-06-0290","title":"Influence of Patterns of Hormone Replacement Therapy Use and Mammographic Density on Breast Cancer Detection","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sunnybrook Health Science Centre; Western University; Cancer Care Ontario; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Breast Cancer Research Alliance; National Cancer Institute; Cancer Care Ontario","keywords":"Medicine; Confidence interval; Odds ratio; Breast cancer; Mammography; Cancer; Gynecology; Hormone replacement therapy (female-to-male); MAMMOGRAPHIC DENSITY; Logistic regression; Internal medicine; Retrospective cohort study; Breast cancer screening; Oncology; Obstetrics","score_opus":0.024890077772836677,"score_gpt":0.3057071441140577,"score_spread":0.280817066341221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988329701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988814,0.00033721002,0.00011057735,0.000048774382,0.0000019348752,0.000007879312,0.00017260617,0.0000032159119,0.0004363899],"genre_scores_gemma":[0.9997098,0.00008489443,0.000065006505,0.000005833799,0.0000017738206,0.0000025577922,0.000072387964,8.512134e-7,0.000056879115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899477,0.00038066,0.000067930356,0.00013890289,0.0003040586,0.000113741546],"domain_scores_gemma":[0.9953399,0.0017174759,0.0018608982,0.00030776145,0.00038056786,0.00039354397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009799205,0.0001526287,0.00019668235,0.00048164194,0.00022771326,0.0005219974,0.00038379527,0.00020059063,0.0009028793],"category_scores_gemma":[0.008100635,0.00017344455,0.00026449218,0.0005594747,0.00042469348,0.00017412128,0.000304735,0.00019294585,0.0000983313],"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":[0.000072561896,0.0000062854047,0.9988232,0.0000036823487,0.00003239613,0.000029576386,0.00002049697,0.00002769587,0.00009218708,0.000004850901,0.000013842833,0.0008731731],"study_design_scores_gemma":[0.0000019377826,0.000028430926,0.9996118,0.0000020738999,0.000014995353,0.00013906321,0.000021894357,0.000097221564,0.000036255497,0.000006170665,0.000039405742,7.753182e-7],"about_ca_topic_score_codex":0.049520917,"about_ca_topic_score_gemma":0.054416426,"teacher_disagreement_score":0.049520917,"about_ca_system_score_codex":0.000661092,"about_ca_system_score_gemma":0.0007810969,"threshold_uncertainty_score":0.09846532},"labels":[],"label_agreement":null},{"id":"W1989609372","doi":"10.1155/2013/651091","title":"Statistical Evaluation of a Fully Automated Mammographic Breast Density Algorithm","year":2013,"lang":"en","type":"article","venue":"Computational and Mathematical Methods in Medicine","topic":"Digital Radiography and Breast Imaging","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":"Capital District Health Authority; Dalhousie University","funders":"Dalhousie University; Canadian Cancer Society","keywords":"Algorithm; Statistics; Clinical Practice; MAMMOGRAPHIC DENSITY; Breast cancer; Breast density; Plot (graphics); Mathematics; Mammography; Medicine; Computer science; Medical physics; Nuclear medicine; Cancer","score_opus":0.04122037434129671,"score_gpt":0.412463669645309,"score_spread":0.3712432953040123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989609372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12614316,0.0004323426,0.8694616,0.00018350009,0.00005388527,0.00036392995,0.00024867538,0.002379011,0.0007339065],"genre_scores_gemma":[0.36076117,0.00011244691,0.637495,0.0001177317,0.000036023303,0.00049281097,0.00038970858,0.00019303238,0.00040201427],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98643756,0.008249605,0.001228406,0.0011689989,0.0027439285,0.00017158386],"domain_scores_gemma":[0.91411155,0.06410235,0.0030319344,0.004991319,0.013455905,0.00030702772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02002375,0.0006060936,0.0010487424,0.0016572422,0.000519514,0.0014546051,0.0013016138,0.00083407277,0.0011291729],"category_scores_gemma":[0.08017665,0.00049442507,0.00073548174,0.0012267225,0.0006403377,0.0011703394,0.0016231455,0.0005818157,0.00029370893],"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":[0.0020751294,0.00029875434,0.03447137,0.00034395105,0.00064544665,0.00015837952,0.00044769535,0.25242296,0.014328347,0.004617,0.0022073546,0.6879836],"study_design_scores_gemma":[0.000079450176,0.00061471236,0.013752808,0.000029107641,0.00009350784,0.00023430675,0.000053086533,0.97692424,0.0048370385,0.0020187635,0.0013078381,0.000055265686],"about_ca_topic_score_codex":0.0023980173,"about_ca_topic_score_gemma":0.0022633949,"teacher_disagreement_score":0.02002375,"about_ca_system_score_codex":0.0007691914,"about_ca_system_score_gemma":0.0018234807,"threshold_uncertainty_score":0.10589695},"labels":[],"label_agreement":null},{"id":"W1990154939","doi":"10.1118/1.4735804","title":"MO-E-217A-01: Contrast-Enhanced Spectral Mammography - Physical Aspects and QA","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Mammography; Quality assurance; Digital mammography; Image quality; Computer science; Medical physics; Medical imaging; Modality (human–computer interaction); Detector; Medicine; Breast cancer; Computer vision; Artificial intelligence; Cancer; Telecommunications; Image (mathematics)","score_opus":0.009138038573246729,"score_gpt":0.2547547295302585,"score_spread":0.24561669095701177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990154939","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17923056,0.034032345,0.33683267,0.018718103,0.0015293326,0.0034019297,0.0021743765,0.0071853492,0.41689533],"genre_scores_gemma":[0.44843015,0.017371362,0.34085736,0.005097991,0.001141278,0.0010383886,0.004905849,0.0009352808,0.18022242],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953544,0.00013344502,0.000025140547,0.000035717923,0.00021882613,0.000051521096],"domain_scores_gemma":[0.9994711,0.00009869021,0.000050739098,0.000056828347,0.00026721353,0.000055423894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002171685,0.00040147145,0.00024194593,0.0010550995,0.00043112205,0.0008521728,0.00066708116,0.001435945,0.008877273],"category_scores_gemma":[0.0012103687,0.00022519358,0.0002427616,0.00056868483,0.0008544351,0.00061414845,0.0006619409,0.00069292134,0.0041209203],"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":[0.0020602383,0.0010562426,0.009655033,0.0019335403,0.000055347617,0.0010255489,0.0002533665,0.0062786876,0.17659444,0.049768772,0.044096112,0.7072227],"study_design_scores_gemma":[0.00021190142,0.0020920115,0.02886381,0.00052315375,0.000057415815,0.006063139,0.000114655726,0.015806824,0.17476127,0.012345063,0.7590622,0.00009856718],"about_ca_topic_score_codex":0.0014221476,"about_ca_topic_score_gemma":0.0023650595,"teacher_disagreement_score":0.008877273,"about_ca_system_score_codex":0.0011129344,"about_ca_system_score_gemma":0.0013241873,"threshold_uncertainty_score":0.029697478},"labels":[],"label_agreement":null},{"id":"W1990157619","doi":"10.1118/1.4903260","title":"Efficient scatter distribution estimation and correction in CBCT using concurrent Monte Carlo fitting","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; McGill University; Princess Margaret Cancer Centre","funders":"","keywords":"Monte Carlo method; Imaging phantom; Data set; Projection (relational algebra); Cone beam computed tomography; Computer science; Detector; Algorithm; Pixel; Medical imaging; Calibration; Image quality; Mathematics; Optics; Artificial intelligence; Physics; Statistics; Image (mathematics); Computed tomography","score_opus":0.010885955050947246,"score_gpt":0.2687197685777535,"score_spread":0.25783381352680623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990157619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028064534,0.000100152356,0.97013724,0.00004292224,0.000012056193,0.00007396556,0.000018516837,0.0010438096,0.0005068195],"genre_scores_gemma":[0.329126,0.000094226554,0.66929907,0.000052189916,0.00001454433,0.0001575123,0.00011251444,0.0003941589,0.00074980845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988507,0.00019880642,0.00007174827,0.00017060904,0.0006508704,0.000057198995],"domain_scores_gemma":[0.9968695,0.0013544498,0.000337025,0.00047622103,0.00086032966,0.00010247723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002177329,0.0009254911,0.00079838675,0.0012309408,0.0006498704,0.0010281614,0.001681161,0.00089958997,0.0011663412],"category_scores_gemma":[0.008727895,0.00076766976,0.00089732144,0.0010864524,0.00060545333,0.0010642811,0.0013378614,0.0010008928,0.0003723082],"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":[0.00034239926,0.00018195123,0.0101233935,0.00009247593,0.00016060907,0.00016248338,0.00025356316,0.739505,0.03200461,0.0030670252,0.00061989797,0.21348666],"study_design_scores_gemma":[0.000010338374,0.000036445985,0.00081091706,0.0000076829,0.000014516276,0.00008413912,0.000008397042,0.98904806,0.008768167,0.00057887397,0.0006173711,0.0000152390485],"about_ca_topic_score_codex":0.013890284,"about_ca_topic_score_gemma":0.016590588,"teacher_disagreement_score":0.013890284,"about_ca_system_score_codex":0.0015611196,"about_ca_system_score_gemma":0.0022726906,"threshold_uncertainty_score":0.027618885},"labels":[],"label_agreement":null},{"id":"W1990884423","doi":"10.1118/1.2761315","title":"TU‐B‐M100J‐01: Optimizing Mammography Image Quality and Dose: X‐Ray Spectrum and Exposure Parameter Selection","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Imaging phantom; Automatic exposure control; Mammography; Digital mammography; Image quality; Nuclear medicine; Contrast-to-noise ratio; Dosimetry; Filter (signal processing); Computer science; Artificial intelligence; Medicine; Computer vision; Image (mathematics); Breast cancer","score_opus":0.015528160479879885,"score_gpt":0.2906376040104061,"score_spread":0.27510944353052624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990884423","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82851,0.0016214235,0.15015268,0.00024777374,0.00006150589,0.00018119751,0.00033863084,0.00657415,0.012312633],"genre_scores_gemma":[0.81971705,0.00061660615,0.1694444,0.00017822388,0.000027761687,0.00009235171,0.0005154788,0.0010993755,0.008308773],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972945,0.00006354617,0.000012841645,0.0000472172,0.000106316445,0.00004062555],"domain_scores_gemma":[0.99965525,0.00013698188,0.00005460758,0.000043317545,0.00007019353,0.00003963934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008265053,0.0004955423,0.00033272637,0.0004829853,0.0002016955,0.0010003133,0.00052713335,0.0007191004,0.003313396],"category_scores_gemma":[0.0012916612,0.00034093243,0.0002519087,0.0003976958,0.00023023084,0.00038265414,0.00037002115,0.00031105144,0.000688483],"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":[0.0013513194,0.00036679616,0.0030167329,0.000335673,0.00006292449,0.00010123796,0.00009517212,0.01464296,0.83411527,0.0010414156,0.0028185623,0.1420519],"study_design_scores_gemma":[0.000114434886,0.0010216214,0.012861745,0.00002206035,0.00007838838,0.0007155005,0.000038859056,0.05976026,0.9190667,0.00021813271,0.0060524857,0.000049873182],"about_ca_topic_score_codex":0.0005268287,"about_ca_topic_score_gemma":0.00080682326,"teacher_disagreement_score":0.003313396,"about_ca_system_score_codex":0.00035912858,"about_ca_system_score_gemma":0.0004017199,"threshold_uncertainty_score":0.011084378},"labels":[],"label_agreement":null},{"id":"W1991064064","doi":"10.1148/radiol.10100655","title":"Risk of Radiation-induced Breast Cancer from Mammographic Screening","year":2010,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":292,"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","funders":"","keywords":"Medicine; Mammography; Breast cancer; Oncology; Cancer; Gynecology; Radiology; Medical physics; Internal medicine","score_opus":0.0075832639611026955,"score_gpt":0.25172564805473113,"score_spread":0.24414238409362843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991064064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83302945,0.0022019476,0.15779641,0.0005201805,0.000029204813,0.00029328588,0.0015836539,0.0003543024,0.00419151],"genre_scores_gemma":[0.9740036,0.00044097038,0.023818012,0.00006659187,0.000010001359,0.000081022336,0.0008529212,0.000015382604,0.00071150454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867636,0.0006508377,0.00006460975,0.00016196577,0.00039262444,0.00005354549],"domain_scores_gemma":[0.9963192,0.002129265,0.00076665095,0.00036445973,0.0003397334,0.00008078014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029916284,0.00039518488,0.0003275793,0.0007719414,0.000115676856,0.000551582,0.00065273594,0.0005162063,0.001233368],"category_scores_gemma":[0.011445639,0.00022102975,0.00072782324,0.00036208023,0.0002606316,0.00044960677,0.00041137665,0.00038414958,0.0003280872],"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":[0.0007471593,0.00016018556,0.6246774,0.00031934696,0.000598077,0.00024581983,0.00012624268,0.31623647,0.004756271,0.003673756,0.0005952586,0.047863968],"study_design_scores_gemma":[0.000109478206,0.0017227554,0.36477345,0.0002446362,0.0006303558,0.0032323592,0.0001439624,0.60550445,0.010884147,0.008146025,0.004526018,0.00008236987],"about_ca_topic_score_codex":0.0025871866,"about_ca_topic_score_gemma":0.0022413128,"teacher_disagreement_score":0.0029916284,"about_ca_system_score_codex":0.0007377094,"about_ca_system_score_gemma":0.00077819615,"threshold_uncertainty_score":0.015821457},"labels":[],"label_agreement":null},{"id":"W1991217501","doi":"10.1118/1.1707755","title":"Evaluation of the imaging properties of an amorphous selenium‐based flat panel detector for digital fluoroscopy","year":2004,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":87,"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","funders":"National Science Council","keywords":"Detective quantum efficiency; Optics; Flat panel detector; Optical transfer function; Spatial frequency; Detector; Materials science; Image sensor; Aperture (computer memory); Aliasing; Imaging phantom; Digital radiography; Physics; Dot pitch; Noise (video); Image resolution; Image quality; Pixel; Radiography; Computer science; Telecommunications; Acoustics","score_opus":0.03896916935606972,"score_gpt":0.27976167706571564,"score_spread":0.24079250770964591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991217501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95982736,0.0009224078,0.037578996,0.00008885666,0.000025031568,0.00007315809,0.00017513632,0.00035491315,0.0009541236],"genre_scores_gemma":[0.9686803,0.000626445,0.02920116,0.000078633355,0.00001043113,0.000030479709,0.00013697185,0.000046982925,0.0011886193],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994754,0.000105341955,0.000021372942,0.000114656636,0.00023005616,0.00005316522],"domain_scores_gemma":[0.998092,0.0010725054,0.00016555013,0.00012731552,0.0004371038,0.00010554736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091088325,0.0004366654,0.00042537964,0.0005078294,0.00022719537,0.00061506283,0.0006870332,0.00087050966,0.0014169957],"category_scores_gemma":[0.0025501628,0.00029785137,0.00026774945,0.00039958145,0.0002779056,0.00046353074,0.0002869542,0.00026698445,0.00040327353],"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":[0.00029830146,0.000039397935,0.0012670826,0.00008449771,0.00002509004,0.00015006437,0.000036652204,0.0009875209,0.9895201,0.00007252238,0.000078078694,0.0074407286],"study_design_scores_gemma":[0.000025866704,0.001860238,0.011597375,0.000016861733,0.00007923859,0.0008845493,0.00006144112,0.013722011,0.97036666,0.000046358164,0.0012988499,0.000040582578],"about_ca_topic_score_codex":0.0009225968,"about_ca_topic_score_gemma":0.001033496,"teacher_disagreement_score":0.0014169957,"about_ca_system_score_codex":0.0003925283,"about_ca_system_score_gemma":0.00028453258,"threshold_uncertainty_score":0.0048172474},"labels":[],"label_agreement":null},{"id":"W1991519982","doi":"10.1007/s10549-009-0662-0","title":"A randomized, placebo-controlled trial (NCIC CTG MAP1) examining the effects of letrozole on mammographic breast density and other end organs in postmenopausal women","year":2009,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Ottawa Hospital; Health Sciences Centre; Sunnybrook Health Science Centre; Niagara Health System; Ontario Institute for Cancer Research","funders":"","keywords":"Letrozole; Medicine; Breast cancer; Aromatase inhibitor; Placebo; Tamoxifen; Internal medicine; Bone mineral; Hormone replacement therapy (female-to-male); Bone density; Clinical endpoint; Randomized controlled trial; Urology; Gynecology; Endocrinology; Oncology; Cancer; Osteoporosis; Testosterone (patch)","score_opus":0.018448964902709336,"score_gpt":0.3055030780993978,"score_spread":0.2870541131966885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991519982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96896744,0.016924338,0.0009202621,0.0021495642,0.0013065462,0.0038326485,0.0021399113,0.00030083075,0.0034584685],"genre_scores_gemma":[0.9807686,0.005487329,0.0017652375,0.0021071732,0.00073682464,0.0035751583,0.0011882423,0.000023622637,0.004347894],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99959475,0.00020515884,0.000025545156,0.00008317405,0.0000388783,0.000052543783],"domain_scores_gemma":[0.9994431,0.0001982178,0.00012456832,0.00004129454,0.000036294692,0.00015642619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094603404,0.0013649826,0.0032064174,0.0005913199,0.0005095702,0.0007326535,0.0007910384,0.0021727236,0.0075073014],"category_scores_gemma":[0.0022493845,0.00057333324,0.0013640079,0.00040971526,0.0009775194,0.00085997133,0.00036122327,0.0024574413,0.0007467776],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9883442,0.0014676405,0.00018075656,0.00064971775,0.00058767066,0.000023233682,0.000017459288,0.00009582721,0.001432953,0.00006674319,0.00049354776,0.0066402894],"study_design_scores_gemma":[0.97494406,0.02304513,0.000704495,0.000027237817,0.00051562866,0.000014858117,0.000009883171,0.00010253998,0.00021570563,0.00007370163,0.00033983676,0.000006763754],"about_ca_topic_score_codex":0.0017059003,"about_ca_topic_score_gemma":0.0036029557,"teacher_disagreement_score":0.0075073014,"about_ca_system_score_codex":0.0006752615,"about_ca_system_score_gemma":0.0011266909,"threshold_uncertainty_score":0.025114417},"labels":[],"label_agreement":null},{"id":"W1993519289","doi":"10.1016/s1076-6332(00)80478-x","title":"Current status of full-field digital mammography","year":2000,"lang":"en","type":"review","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":68,"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":"Current (fluid); Mammography; Field (mathematics); Digital mammography; Medical physics; Medicine; Computer science; Breast cancer; Mathematics; Electrical engineering; Internal medicine; Engineering; Cancer","score_opus":0.032456700992021185,"score_gpt":0.3519792391308356,"score_spread":0.3195225381388144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993519289","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007367605,0.9989041,0.00008056957,0.00024818146,0.00017827777,0.0000027954395,0.000017839844,0.000007046377,0.00048755357],"genre_scores_gemma":[0.0005092837,0.99836665,0.00020111646,0.00031353233,0.0003102415,0.0000037101556,0.000028969456,0.0000012448472,0.00026523534],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993356,0.00013027391,0.00015984203,0.00011691038,0.00021837068,0.00003896312],"domain_scores_gemma":[0.9963744,0.0021319771,0.00058880483,0.000072033086,0.000653208,0.00017960153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016439322,0.0011175887,0.0026291695,0.006396207,0.0003305464,0.0020199316,0.0013841545,0.0017226263,0.0064038485],"category_scores_gemma":[0.004093107,0.00045854296,0.0007369867,0.007741287,0.000778718,0.0032409288,0.00097593473,0.0012330931,0.0024576155],"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":[0.000086863016,0.0000439398,0.00042206774,0.025740616,0.00008479284,0.00020686242,0.000050567258,0.00015034426,0.00044821412,0.00067373394,0.024498072,0.947594],"study_design_scores_gemma":[0.00004289252,0.0001484494,0.0035986255,0.01896097,0.0007353275,0.002938816,0.00025708802,0.00018093988,0.00037987716,0.0011094213,0.9716045,0.000042961667],"about_ca_topic_score_codex":0.0023305237,"about_ca_topic_score_gemma":0.005557393,"teacher_disagreement_score":0.0064038485,"about_ca_system_score_codex":0.0009799579,"about_ca_system_score_gemma":0.0024974202,"threshold_uncertainty_score":0.021422982},"labels":[],"label_agreement":null},{"id":"W1994179766","doi":"10.1117/12.878886","title":"Comparison of breast percent density estimation from raw versus processed digital mammograms","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"American Cancer Society","keywords":"Breast cancer; Thresholding; Mammography; Digital mammography; Medicine; Nuclear medicine; Artificial intelligence; Breast imaging; Raw data; Mathematics; Computer science; Statistics; Image (mathematics); Cancer; Internal medicine","score_opus":0.020874569316539145,"score_gpt":0.25428924635682,"score_spread":0.23341467704028085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994179766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97731596,0.001980733,0.018515516,0.000024609895,0.00002292919,0.00006880467,0.0006095631,0.00024561913,0.0012162091],"genre_scores_gemma":[0.987793,0.00027006646,0.011235474,0.000021051108,0.000018697265,0.000031705484,0.00034373646,0.000036369795,0.00024990647],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989532,0.00030805272,0.00012569664,0.00016077259,0.0004126102,0.000039519662],"domain_scores_gemma":[0.9969717,0.0017072869,0.0003912671,0.0002794367,0.0006013299,0.000048863418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021523016,0.0003513361,0.0003028059,0.0022152713,0.00007446713,0.0006698428,0.00025695108,0.0002610666,0.0010356707],"category_scores_gemma":[0.007943275,0.00021706932,0.00022237522,0.0008241491,0.0001755605,0.0003704224,0.000280851,0.00014945627,0.00023716176],"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":[0.005641125,0.00020538687,0.56271744,0.0008735037,0.0010727079,0.0008757717,0.0004122918,0.0034710965,0.20667256,0.00034067786,0.0008316443,0.21688575],"study_design_scores_gemma":[0.000055627617,0.0009527924,0.9206824,0.000040072344,0.00031543066,0.0029916228,0.00015391198,0.012842929,0.060141347,0.00022103464,0.0015638877,0.000039026767],"about_ca_topic_score_codex":0.00041817792,"about_ca_topic_score_gemma":0.0005424434,"teacher_disagreement_score":0.0022152713,"about_ca_system_score_codex":0.00012537648,"about_ca_system_score_gemma":0.00008669156,"threshold_uncertainty_score":0.011382639},"labels":[],"label_agreement":null},{"id":"W1995752721","doi":"10.1038/sj.bjc.6604635","title":"Mammographic density, lobular involution, and risk of breast cancer","year":2008,"lang":"en","type":"review","venue":"British Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Involution (esoterism); Breast cancer; Breast tissue; Mammography; Medicine; Oncology; Internal medicine; Biology; Cancer","score_opus":0.014109221055429017,"score_gpt":0.28945237575471455,"score_spread":0.27534315469928555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995752721","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018602468,0.99895144,0.00004820221,0.00012566369,0.00007069506,0.000002252956,0.000010205357,0.0000032553023,0.0006021946],"genre_scores_gemma":[0.001133943,0.99828076,0.00008872813,0.00004862536,0.00009223838,0.0000036906188,0.000017679678,4.4193146e-7,0.00033393424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998029,0.000036560225,0.000029901374,0.000038381568,0.000078787365,0.000013500735],"domain_scores_gemma":[0.99969935,0.00015957728,0.000056376717,0.000006434872,0.000059138325,0.00001922696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040461626,0.00070646213,0.0013639701,0.0020947333,0.00018853499,0.0006107489,0.00056328037,0.00084731827,0.0030552258],"category_scores_gemma":[0.0010261402,0.00020959793,0.00029923124,0.002308961,0.00038202267,0.0006648958,0.0003418413,0.0006253375,0.0015782514],"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":[0.00007542955,0.000051305426,0.0015867947,0.013572213,0.00010432424,0.00032879857,0.000074922464,0.00031603756,0.0006829368,0.0018054196,0.014254442,0.9671475],"study_design_scores_gemma":[0.000023237844,0.00025809908,0.020230137,0.009727511,0.00036401447,0.007861641,0.00029461365,0.00019817207,0.00061160047,0.0031715408,0.95721626,0.000043148935],"about_ca_topic_score_codex":0.002028111,"about_ca_topic_score_gemma":0.0020875698,"teacher_disagreement_score":0.0030552258,"about_ca_system_score_codex":0.00041407725,"about_ca_system_score_gemma":0.0007136246,"threshold_uncertainty_score":0.010220706},"labels":[],"label_agreement":null},{"id":"W1996236726","doi":"10.1118/1.3244114","title":"Poster — Wed Eve—10: An X‐Ray Attenuation Approach to Breast Density for Full Field Digital Mammography","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"BC Cancer Agency","funders":"","keywords":"Attenuation; Mammography; Breast density; Digital mammography; Nuclear medicine; X-ray; Optics; Physics; Medicine; Breast cancer","score_opus":0.01324978023927305,"score_gpt":0.25924181486484965,"score_spread":0.2459920346255766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996236726","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018230896,0.005774933,0.86869085,0.006034638,0.0051993527,0.0005501946,0.00035416038,0.0012148859,0.093950056],"genre_scores_gemma":[0.22431418,0.007930222,0.4652899,0.0014060985,0.0031650525,0.00046385784,0.00040401626,0.0005784984,0.29644826],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968386,0.00009984945,0.000016181428,0.00006944645,0.00011249279,0.00001812303],"domain_scores_gemma":[0.99951017,0.00016443152,0.000033238055,0.00007447332,0.0001555861,0.00006211854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011942293,0.0005402978,0.00029793772,0.001007033,0.0005367175,0.0015873406,0.0009981242,0.00080446183,0.031786527],"category_scores_gemma":[0.0018994443,0.00031391231,0.0005188084,0.00043416198,0.00085271336,0.0009661314,0.0012077263,0.0010999228,0.008665493],"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":[0.0004577989,0.00034173345,0.0040577212,0.00064132677,0.00007112009,0.0007154954,0.00035253348,0.012957415,0.075636014,0.16903839,0.06149839,0.674232],"study_design_scores_gemma":[0.00011830406,0.0010192124,0.018934203,0.00052754476,0.00014752329,0.0034833713,0.00041539446,0.21436706,0.06157559,0.108012944,0.591166,0.00023291222],"about_ca_topic_score_codex":0.00041322256,"about_ca_topic_score_gemma":0.00076246465,"teacher_disagreement_score":0.031786527,"about_ca_system_score_codex":0.0006446538,"about_ca_system_score_gemma":0.00035677146,"threshold_uncertainty_score":0.106336534},"labels":[],"label_agreement":null},{"id":"W1996605531","doi":"10.1177/153303460400300401","title":"Detectors for Digital Mammography","year":2004,"lang":"en","type":"review","venue":"Technology in Cancer Research & Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":32,"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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Digital radiography; Digital mammography; Fluoroscopy; Computer science; Detector; Medical physics; Radiography; Subtraction; Breast imaging; Flat panel detector; Computer vision; Image resolution; Dynamic range; Artificial intelligence; Medicine; Radiology; Telecommunications","score_opus":0.14984889720447506,"score_gpt":0.49406784599926235,"score_spread":0.3442189487947873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996605531","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025751756,0.97364014,0.005609244,0.0012672594,0.0017501711,0.000058254693,0.00009100977,0.00010779545,0.017218651],"genre_scores_gemma":[0.004444636,0.95058936,0.015753463,0.0028869275,0.0015496128,0.00013444324,0.00028068948,0.00004339768,0.02431747],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986179,0.00021626311,0.0001453773,0.000319854,0.00062601146,0.000074548465],"domain_scores_gemma":[0.9986456,0.0005052247,0.00013854072,0.00013221528,0.00050695136,0.000071495175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016875104,0.001411502,0.0018369325,0.004868628,0.00072566274,0.0018825558,0.0026264063,0.0034231138,0.014107372],"category_scores_gemma":[0.0030656136,0.0008034387,0.0010929893,0.004477895,0.0018397492,0.0039496105,0.0016559007,0.0054103197,0.020542946],"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":[0.000076855154,0.000090389934,0.00023042312,0.007588099,0.00005443218,0.0004825357,0.00012802798,0.00033277806,0.0057006455,0.029392429,0.06437268,0.89155084],"study_design_scores_gemma":[0.000008401341,0.000029301116,0.00013508587,0.0006366131,0.000018616984,0.0018085142,0.000018264162,0.000055653403,0.001309,0.0033733968,0.99258935,0.000017753831],"about_ca_topic_score_codex":0.0009872002,"about_ca_topic_score_gemma":0.000896276,"teacher_disagreement_score":0.014107372,"about_ca_system_score_codex":0.0015759419,"about_ca_system_score_gemma":0.0012682014,"threshold_uncertainty_score":0.047193885},"labels":[],"label_agreement":null},{"id":"W1997041134","doi":"10.1259/bjr/47377285","title":"Use of a digitally reconstructed radiograph-based computer simulation for the optimisation of chest radiographic techniques for computed radiography imaging systems","year":2012,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast 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":"Queen's University","funders":"National Institute for Health and Care Research","keywords":"Radiography; Kerma; Image quality; Computed radiography; Medicine; Nuclear medicine; Chest radiograph; Radiology; Contrast (vision); Digital radiography; Computer science; Artificial intelligence; Dosimetry; Image (mathematics)","score_opus":0.026765900454925235,"score_gpt":0.2628697182173327,"score_spread":0.23610381776240744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997041134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.574537,0.00030527843,0.42062974,0.000090111316,0.000017753602,0.00043628126,0.00016772399,0.0009902952,0.002825786],"genre_scores_gemma":[0.811201,0.00013445648,0.18755342,0.000027000795,0.0000044352805,0.00017464565,0.00018534991,0.00008582513,0.00063385913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964154,0.00016863873,0.00002496014,0.00003678492,0.00011631063,0.000011875807],"domain_scores_gemma":[0.99870706,0.00075996236,0.00012862035,0.00013142133,0.00023785622,0.000035112043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079657126,0.00037782194,0.0001942839,0.00025601327,0.00007422176,0.0004196781,0.00051250064,0.0003155052,0.0015842341],"category_scores_gemma":[0.0038010478,0.00022026188,0.0002646377,0.0001740685,0.00016919074,0.00019130301,0.00030569118,0.00022085154,0.00025310618],"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":[0.0015359849,0.00037651628,0.012147379,0.00037582518,0.000114444825,0.00020033447,0.00025484458,0.7030063,0.1447466,0.0013623037,0.0003996803,0.1354798],"study_design_scores_gemma":[0.00019361022,0.0011908687,0.0060574766,0.000036334943,0.00009674858,0.00039681522,0.00003360827,0.9355294,0.05393218,0.00036511244,0.002132739,0.00003502518],"about_ca_topic_score_codex":0.0010929327,"about_ca_topic_score_gemma":0.0011082924,"teacher_disagreement_score":0.0015842341,"about_ca_system_score_codex":0.00035724777,"about_ca_system_score_gemma":0.0005139322,"threshold_uncertainty_score":0.0052998066},"labels":[],"label_agreement":null},{"id":"W1997133548","doi":"10.1088/0031-9155/57/24/8405","title":"Including the effect of motion artifacts in noise and performance analysis of dual-energy contrast-enhanced mammography","year":2012,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Noise (video); Energy (signal processing); Mammography; Contrast (vision); Dual energy; Mathematics; Image (mathematics); Statistics; Medicine","score_opus":0.06295421805893184,"score_gpt":0.33764395205437997,"score_spread":0.27468973399544816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997133548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23966664,0.0010086544,0.7573846,0.00021321987,0.00004251006,0.00005021785,0.000050745006,0.000326441,0.0012569389],"genre_scores_gemma":[0.9453732,0.00045807924,0.05269704,0.000045910896,0.000030550425,0.000043163367,0.0000949552,0.00006854842,0.001188621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868447,0.00042624204,0.0000616852,0.00022087157,0.000515424,0.000091374925],"domain_scores_gemma":[0.99704486,0.0019763147,0.00026197778,0.00031039535,0.00036111753,0.000045416844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001651585,0.0009237319,0.0006178937,0.00070135214,0.00022018902,0.0006418732,0.0006539583,0.0010658451,0.0006048656],"category_scores_gemma":[0.008228265,0.00034177874,0.0007208789,0.00039318088,0.00047635444,0.000981832,0.00063885463,0.0005179044,0.00022223301],"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":[0.0007970463,0.00023979787,0.007080973,0.00025914167,0.00013314825,0.00045046935,0.00017308928,0.7938585,0.10386425,0.0053115836,0.0003481032,0.0874838],"study_design_scores_gemma":[0.000007142606,0.0001462254,0.002596265,0.000008411649,0.000033761764,0.0001417741,0.000006846283,0.9767914,0.019256234,0.00071991276,0.00027151286,0.000020593876],"about_ca_topic_score_codex":0.0020590278,"about_ca_topic_score_gemma":0.0013410687,"teacher_disagreement_score":0.0020590278,"about_ca_system_score_codex":0.0006864582,"about_ca_system_score_gemma":0.0005519865,"threshold_uncertainty_score":0.008734524},"labels":[],"label_agreement":null},{"id":"W1997838942","doi":"10.1118/1.3633937","title":"Task-based modeling and optimization of a cone-beam CT scanner for musculoskeletal imaging","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; University of California, Davis; Robarts Research Institute; National Institutes of Health; Carestream Health","keywords":"Magnification; Scanner; Noise (video); Detector; Image resolution; Pixel; Reconstruction filter; Optics; Computer science; Filter (signal processing); Image quality; Artificial intelligence; Computer vision; Physics; Filter design; Image (mathematics)","score_opus":0.016804186387837133,"score_gpt":0.25927733781625756,"score_spread":0.24247315142842044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997838942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054368865,0.0002573075,0.9406872,0.00017055032,0.000016763059,0.00017789393,0.000098548844,0.00026354028,0.0039593107],"genre_scores_gemma":[0.8359976,0.00029658448,0.1586965,0.00007201925,0.000014436469,0.00040612606,0.00015538558,0.00010857412,0.004252756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996488,0.00008699911,0.000013362616,0.00007822319,0.00014656613,0.000026008149],"domain_scores_gemma":[0.9995221,0.00024119545,0.00007412609,0.000025591138,0.00011343751,0.000023567298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065892783,0.00068534666,0.0004882728,0.00034949288,0.00029516924,0.0008005557,0.00089730433,0.0008974612,0.0015599605],"category_scores_gemma":[0.0015210616,0.00061253796,0.0007441357,0.00025077758,0.00045746376,0.00039194926,0.0005770716,0.00050662237,0.00031746278],"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":[0.000018499035,0.000011688768,0.00025168413,0.000026563897,0.000008842628,0.000022353624,0.000019556732,0.9934023,0.001939446,0.0005374833,0.000063950494,0.003697627],"study_design_scores_gemma":[0.0000023253176,0.000018641762,0.0001668235,0.0000026257887,0.0000047679528,0.00001057156,0.0000025944648,0.9989906,0.00039957292,0.00023690083,0.00016135076,0.0000031599052],"about_ca_topic_score_codex":0.008363803,"about_ca_topic_score_gemma":0.007825239,"teacher_disagreement_score":0.008363803,"about_ca_system_score_codex":0.0011191976,"about_ca_system_score_gemma":0.001814177,"threshold_uncertainty_score":0.016630232},"labels":[],"label_agreement":null},{"id":"W1998455099","doi":"10.1118/1.3539575","title":"The effects of compensator and imaging geometry on the distribution of x‐ray scatter in CBCT","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":58,"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; Princess Margaret Cancer Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Elekta","keywords":"Cone beam computed tomography; Monte Carlo method; Detector; Optics; Flat panel detector; Physics; Projection (relational algebra); Field of view; Scattering; Medical imaging; Computed tomography; Mathematics; Computer science; Artificial intelligence; Medicine; Algorithm; Statistics","score_opus":0.008413835426135345,"score_gpt":0.22662114120770374,"score_spread":0.21820730578156838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998455099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7252483,0.0017563698,0.26958302,0.00015286486,0.000046779165,0.00011394814,0.0001297289,0.0008690076,0.0021000104],"genre_scores_gemma":[0.97818017,0.00032802837,0.020780379,0.000040238945,0.000008654032,0.000032604057,0.00007390629,0.00015016914,0.00040575222],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991678,0.00030773386,0.000058517628,0.00011900801,0.0003015703,0.00004539668],"domain_scores_gemma":[0.9955058,0.0032299678,0.0005385087,0.00028689668,0.00038261313,0.00005615768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016369645,0.00060728425,0.000261916,0.0005563524,0.0003096558,0.000595991,0.00048426504,0.0003929952,0.0005859693],"category_scores_gemma":[0.007471909,0.0003505915,0.0003526211,0.00036235232,0.00055143406,0.0005237764,0.0003399599,0.0002705609,0.00017999795],"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":[0.0017063062,0.00018856573,0.074900225,0.0005639118,0.00022433067,0.0009088321,0.00066622527,0.37749913,0.43496788,0.002678277,0.00075595046,0.10494036],"study_design_scores_gemma":[0.000101897465,0.00094162085,0.091155656,0.0001215008,0.0003385425,0.0033346417,0.00014039218,0.52696705,0.3722844,0.0010905543,0.0033910621,0.00013268343],"about_ca_topic_score_codex":0.0024198764,"about_ca_topic_score_gemma":0.0024966435,"teacher_disagreement_score":0.0024198764,"about_ca_system_score_codex":0.00084325235,"about_ca_system_score_gemma":0.00054623117,"threshold_uncertainty_score":0.008657217},"labels":[],"label_agreement":null},{"id":"W1998830723","doi":"10.1118/1.3148668","title":"A small-signal approach to temporal modulation transfer functions with exposure-rate dependence and its application to fluoroscopic detective quantum efficiency","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Robarts Clinical Trials; Western University","funders":"","keywords":"Detective quantum efficiency; Optical transfer function; Attenuation; Optics; SIGNAL (programming language); Spatial frequency; Fourier transform; Modulation (music); Physics; Mathematics; Image quality; Computer science; Acoustics; Mathematical analysis; Artificial intelligence; Image (mathematics)","score_opus":0.015420787408864586,"score_gpt":0.23521635593286155,"score_spread":0.21979556852399695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998830723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019969882,0.0007679101,0.97670186,0.000093202325,0.00006556164,0.00010995624,0.000031860665,0.0003359672,0.0019237414],"genre_scores_gemma":[0.41007578,0.0022158222,0.58105844,0.00023538475,0.00014550617,0.0003520016,0.000170131,0.00029564928,0.0054511772],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908507,0.00018275299,0.00004247378,0.00014927036,0.0004920952,0.00004831392],"domain_scores_gemma":[0.9981552,0.001162654,0.00016862614,0.00021293099,0.00028064303,0.000019879959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012431933,0.0007041849,0.0003195437,0.0012868715,0.0002923289,0.00082258426,0.0009392872,0.0007007091,0.0013698537],"category_scores_gemma":[0.004991867,0.0003736768,0.00087105687,0.001018732,0.0008593181,0.0010209962,0.00077834696,0.0015366203,0.00052055623],"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":[0.0003335192,0.0002769801,0.0021003764,0.0006297467,0.00007429764,0.0006107164,0.0004437202,0.05918273,0.6501949,0.051928192,0.0010212424,0.23320356],"study_design_scores_gemma":[0.000023777991,0.0006841143,0.004933283,0.000047203386,0.00007161586,0.0014867265,0.00006651591,0.5932411,0.3662479,0.016168723,0.016883392,0.00014572163],"about_ca_topic_score_codex":0.0011401768,"about_ca_topic_score_gemma":0.00071785494,"teacher_disagreement_score":0.0013698537,"about_ca_system_score_codex":0.0008289614,"about_ca_system_score_gemma":0.00048601144,"threshold_uncertainty_score":0.0065746903},"labels":[],"label_agreement":null},{"id":"W2001140031","doi":"10.1118/1.2008428","title":"Indirect flat‐panel detector with avalanche gain: Fundamental feasibility investigation for SHARP‐AMFPI (scintillator HARP active matrix flat panel imager)","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"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","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Avalanche photodiode; Scintillator; Optics; Active matrix; Detector; Detective quantum efficiency; Physics; HARP; Digital radiography; Optoelectronics; Flat panel detector; Avalanche diode; Dynamic range; Materials science; Voltage; Radiography; Thin-film transistor; Breakdown voltage; Image quality; Layer (electronics); Computer science; Nuclear physics; Nanotechnology","score_opus":0.04166160910629627,"score_gpt":0.2915626934947596,"score_spread":0.24990108438846334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001140031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81955105,0.0016772593,0.17187572,0.0003541684,0.00003580141,0.0003193749,0.00024897908,0.00073951023,0.005198189],"genre_scores_gemma":[0.8908643,0.0004934529,0.10608186,0.000060963495,0.000015242836,0.00008207831,0.00013495244,0.000034080538,0.0022330314],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996557,0.000038382615,0.000005814665,0.00009326846,0.00016079086,0.000045993078],"domain_scores_gemma":[0.9996848,0.00008974071,0.00004347261,0.000030411818,0.00011668041,0.000034948785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051272317,0.00045144404,0.00035153193,0.00016373301,0.00018073902,0.000609075,0.00089362357,0.0007258644,0.0009952376],"category_scores_gemma":[0.00066985784,0.00036910622,0.00033559353,0.00017996535,0.00029935478,0.00086227787,0.00035363476,0.0005011286,0.0003218352],"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":[0.00009830868,0.000036811827,0.001133735,0.00013415985,0.000020420202,0.0001797193,0.00007298752,0.0012984917,0.9877285,0.0009421267,0.00018539804,0.0081694145],"study_design_scores_gemma":[0.00003819604,0.0016595252,0.0062619224,0.000014644405,0.000060743267,0.0010543616,0.00007183386,0.033823997,0.9532303,0.00021620184,0.0035238082,0.000044457895],"about_ca_topic_score_codex":0.0009595805,"about_ca_topic_score_gemma":0.0011780743,"teacher_disagreement_score":0.0009952376,"about_ca_system_score_codex":0.0005690592,"about_ca_system_score_gemma":0.00044066907,"threshold_uncertainty_score":0.0041288137},"labels":[],"label_agreement":null},{"id":"W2001249769","doi":"10.1118/1.3065068","title":"Accurate estimation of compressed breast thickness in mammography","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":50,"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 Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Stereoscopy; Photogrammetry; Compression (physics); Biomedical engineering; Materials science; Computer science; Computer vision; Artificial intelligence; Medicine","score_opus":0.011181208228428392,"score_gpt":0.27471617306802976,"score_spread":0.26353496483960137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001249769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6114297,0.011648504,0.37142769,0.0002762335,0.0001618869,0.00016401887,0.00040787458,0.0013609851,0.0031230971],"genre_scores_gemma":[0.8613919,0.0036043157,0.1336301,0.00010379849,0.00007042252,0.000050365044,0.00023974168,0.00007103619,0.00083829823],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983083,0.0004065477,0.000059392263,0.00015290998,0.0010217787,0.00005099768],"domain_scores_gemma":[0.9979493,0.0011562482,0.0002637596,0.00020287921,0.0003872758,0.000040589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013418493,0.000548133,0.00041120395,0.001865331,0.00018433212,0.0005821937,0.0008047467,0.0006956702,0.000721926],"category_scores_gemma":[0.007946767,0.0006699731,0.0002151602,0.001283042,0.0004998363,0.0009067609,0.0008116014,0.00036669284,0.00026085187],"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":[0.001251759,0.00010034467,0.037856415,0.000829118,0.000085594584,0.00078143855,0.00045358366,0.040054474,0.6339207,0.002389811,0.00092529034,0.2813515],"study_design_scores_gemma":[0.00007835832,0.0008153413,0.09655045,0.00024984765,0.0001234015,0.005243006,0.00024082833,0.32071358,0.56693476,0.0033814865,0.0055000153,0.00016905571],"about_ca_topic_score_codex":0.001937495,"about_ca_topic_score_gemma":0.0021233815,"teacher_disagreement_score":0.001937495,"about_ca_system_score_codex":0.00045647298,"about_ca_system_score_gemma":0.00035168126,"threshold_uncertainty_score":0.0070964694},"labels":[],"label_agreement":null},{"id":"W2001465542","doi":"10.1118/1.1510128","title":"Development of contrast digital mammography","year":2002,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":113,"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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Mammography; Digital mammography; Imaging phantom; Nuclear medicine; Computed radiography; Materials science; Kerma; Dosimetry; Optics; Radiology; Breast cancer; Medicine; Physics; Computer science; Image quality; Cancer","score_opus":0.015681063997942828,"score_gpt":0.23233354603292114,"score_spread":0.2166524820349783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001465542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034478586,0.024872443,0.8959693,0.0024002155,0.0014230838,0.0011410279,0.0008200086,0.0030390115,0.035856456],"genre_scores_gemma":[0.13135839,0.012018698,0.8397658,0.001380906,0.0004638686,0.0005572162,0.0008337623,0.00028387673,0.013337481],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983138,0.00036765804,0.00009877684,0.00029927638,0.0008535923,0.000066926135],"domain_scores_gemma":[0.9961062,0.0012748278,0.00015061694,0.0005455398,0.00166763,0.00025519752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028939245,0.00059462135,0.00061005604,0.0019462623,0.00022300157,0.0013368992,0.0018435322,0.00098955,0.00817308],"category_scores_gemma":[0.0072434605,0.00072164845,0.0005892273,0.0008719309,0.00046271647,0.0010707327,0.0013158965,0.0013158908,0.003477454],"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":[0.00030544252,0.00018982166,0.004102213,0.0009210556,0.0000910849,0.0005605898,0.00009484962,0.0011776397,0.10625408,0.008570025,0.0063739484,0.8713593],"study_design_scores_gemma":[0.00030283426,0.0025707558,0.013955919,0.0009189248,0.00046994686,0.026384644,0.00015014346,0.038092792,0.37334412,0.009075112,0.5344823,0.0002525405],"about_ca_topic_score_codex":0.0006170319,"about_ca_topic_score_gemma":0.0007251988,"teacher_disagreement_score":0.00817308,"about_ca_system_score_codex":0.00060606387,"about_ca_system_score_gemma":0.0007551749,"threshold_uncertainty_score":0.027341664},"labels":[],"label_agreement":null},{"id":"W2002500114","doi":"10.1118/1.3182182","title":"SU‐GG‐BRC‐06: An Enabling Technology for Very Low Exposure X‐Ray Imaging","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Thunder Bay Regional Research Institute; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"X-ray detector; Fluoroscopy; Flat panel detector; Detector; Avalanche photodiode; Image intensifier; Materials science; Resistive touchscreen; Optoelectronics; Leakage (economics); Image sensor; Optics; Electrical engineering; Physics; Engineering","score_opus":0.008750462966714808,"score_gpt":0.26416894727457985,"score_spread":0.255418484307865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002500114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6890006,0.013090472,0.25505108,0.0017531492,0.00074616855,0.000502153,0.0013514162,0.0054883393,0.033016566],"genre_scores_gemma":[0.75273365,0.0037460213,0.22961533,0.000471756,0.000111580106,0.00016723199,0.0011238978,0.00023651152,0.01179412],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995807,0.000033983462,0.000020578349,0.00005768952,0.0002587611,0.000048260506],"domain_scores_gemma":[0.9997193,0.000045949266,0.00006507803,0.00005756353,0.000054611133,0.00005748541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079766504,0.0004877602,0.00020307736,0.0004991602,0.00017527648,0.00069099443,0.00096260774,0.0008536303,0.0014510052],"category_scores_gemma":[0.000524934,0.00028280145,0.00018643239,0.00031266053,0.00048786384,0.000657911,0.00044898747,0.0011143013,0.0011535486],"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":[0.000056892855,0.000049915445,0.00067104574,0.00010273327,0.0000086377895,0.00012776964,0.000029677838,0.00031583896,0.9724348,0.0042119334,0.0018442456,0.020146385],"study_design_scores_gemma":[0.000021116939,0.00030561388,0.0015661261,0.00001726459,0.000012795252,0.00058041356,0.00001232585,0.003226101,0.96969116,0.00051172293,0.024037058,0.000018174225],"about_ca_topic_score_codex":0.000285784,"about_ca_topic_score_gemma":0.00044272144,"teacher_disagreement_score":0.0014510052,"about_ca_system_score_codex":0.00043098582,"about_ca_system_score_gemma":0.0004287468,"threshold_uncertainty_score":0.0048541427},"labels":[],"label_agreement":null},{"id":"W2002533063","doi":"10.1002/cncr.24638","title":"Mammographic density and the risk of breast cancer recurrence after breast‐conserving surgery","year":2009,"lang":"en","type":"article","venue":"Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":93,"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; Women's College Hospital; University Health Network","funders":"","keywords":"Medicine; Breast cancer; Confidence interval; Breast-conserving surgery; Radiation therapy; Risk factor; Proportional hazards model; MAMMOGRAPHIC DENSITY; Mammography; Hazard ratio; Cancer; Multivariate analysis; Internal medicine; Surgery; Mastectomy","score_opus":0.007115686715960649,"score_gpt":0.2368368316761387,"score_spread":0.22972114496017804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002533063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980927,0.0011339213,0.000094832074,0.00011148105,0.0000050554654,0.000005159568,0.00007582616,0.0000049747005,0.00047621733],"genre_scores_gemma":[0.9996024,0.00018964792,0.000051567164,0.000009869841,0.000010615689,0.000001791507,0.00006375224,6.8337346e-7,0.00006976258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998167,0.000061995415,0.000015980366,0.000018642433,0.000059657945,0.000026964004],"domain_scores_gemma":[0.9977602,0.0008645115,0.0010308741,0.000055682194,0.000105185645,0.00018355605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045515926,0.0001136889,0.0001351794,0.0005272907,0.00011785929,0.00028626312,0.00017358485,0.00020072646,0.0017520881],"category_scores_gemma":[0.0043432894,0.00008680629,0.00017893616,0.00036339913,0.00020595713,0.00017757252,0.00017955467,0.00023724927,0.00015265126],"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":[0.00009626792,0.000014618551,0.99673575,0.000009599311,0.000025166933,0.00007676963,0.000014915479,0.000050017206,0.0000992083,0.000011823976,0.00006459178,0.0028011904],"study_design_scores_gemma":[0.000006077815,0.0000735341,0.9983973,0.00000789348,0.000027558124,0.0009812508,0.00004216809,0.00017578938,0.00009496067,0.00003528238,0.00015643144,0.0000018420353],"about_ca_topic_score_codex":0.00086131424,"about_ca_topic_score_gemma":0.0008084378,"teacher_disagreement_score":0.0017520881,"about_ca_system_score_codex":0.0001415831,"about_ca_system_score_gemma":0.00013534554,"threshold_uncertainty_score":0.0058612823},"labels":[],"label_agreement":null},{"id":"W2003252338","doi":"10.1007/s10552-014-0339-9","title":"Fasting insulin and endogenous hormones in relation to premenopausal breast density (Canada)","year":2014,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; McGill University; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Breast Cancer Research Alliance; Breast Cancer Alliance","keywords":"Medicine; Body mass index; Internal medicine; Breast cancer; Endocrinology; Sex hormone-binding globulin; Hormone; Waist–hip ratio; Menstrual cycle; Bayesian multivariate linear regression; Risk factors for breast cancer; Insulin resistance; Insulin; Insulin-like growth factor; Waist; Physiology; Cancer; Linear regression; Growth factor; Receptor","score_opus":0.012710298307407747,"score_gpt":0.22519407754947396,"score_spread":0.2124837792420662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003252338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799325,0.0035539672,0.00010763539,0.000898428,0.00005920226,0.000057005753,0.009176573,0.000025183668,0.006189507],"genre_scores_gemma":[0.9918286,0.0015918957,0.00017677578,0.00015847044,0.000016948306,0.000015534466,0.0018800042,0.00000972763,0.00432195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995648,0.000040829163,0.000032689633,0.000062092324,0.00013518924,0.00016432638],"domain_scores_gemma":[0.9977551,0.00020446806,0.00028780196,0.000066001616,0.0008797153,0.0008068846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003296998,0.00026307523,0.00033788584,0.0010363617,0.002040406,0.001048643,0.0012177884,0.00065121887,0.0046576536],"category_scores_gemma":[0.0024355263,0.00042345602,0.00065405987,0.003830403,0.0006263204,0.00027284803,0.0006784491,0.0010626317,0.00032218668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034917667,0.00005377484,0.9945635,0.000025534362,0.00005806655,0.00011316621,0.00023412652,0.000115933864,0.00011559901,0.00014222923,0.0012322337,0.002996618],"study_design_scores_gemma":[0.000014373876,0.00002025884,0.9985732,0.000017632483,0.000025573232,0.00005914758,0.00043549287,0.00011751319,0.00003352238,0.000026306096,0.0006711542,0.0000059131703],"about_ca_topic_score_codex":0.99518085,"about_ca_topic_score_gemma":0.99655056,"teacher_disagreement_score":0.016827818,"about_ca_system_score_codex":0.016827818,"about_ca_system_score_gemma":0.023005465,"threshold_uncertainty_score":0.12209499},"labels":[],"label_agreement":null},{"id":"W2005056245","doi":"10.1007/s10278-006-0590-z","title":"Recognition and Prevention of Computed Radiography Image Artifacts","year":2006,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"Radiography; Computed radiography; Image quality; Computer vision; Conventional radiography; Computer science; Medical imaging; Medicine; Artificial intelligence; Radiology; Image (mathematics)","score_opus":0.013397383870595945,"score_gpt":0.24306341630869527,"score_spread":0.22966603243809933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005056245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90948486,0.011861334,0.070063084,0.0016373121,0.0004585614,0.0002091363,0.00012237763,0.00071657915,0.0054466575],"genre_scores_gemma":[0.9639216,0.0026492965,0.030359365,0.0002661305,0.00024653028,0.000042098483,0.0002177156,0.000062642626,0.0022346375],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926025,0.00019510751,0.000082090504,0.00011234319,0.0002605693,0.00008968797],"domain_scores_gemma":[0.9965969,0.0013916311,0.0006708036,0.0002925534,0.0009175158,0.00013068896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010194815,0.00037814063,0.000570621,0.0012229122,0.00021730333,0.0009053542,0.0005319752,0.0013001151,0.0010091402],"category_scores_gemma":[0.008388319,0.00025399216,0.00027273697,0.00026545417,0.00027015802,0.0007883046,0.00029487416,0.00073547615,0.0005792773],"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":[0.003443306,0.0011353134,0.11438219,0.00052029814,0.00007826501,0.0025984794,0.0003505407,0.0006253303,0.18376404,0.00074153655,0.0032678496,0.68909293],"study_design_scores_gemma":[0.00028575744,0.0040567773,0.30057985,0.00042453138,0.0006126197,0.059886016,0.00059898396,0.032145295,0.58515906,0.0015754612,0.014572373,0.00010325661],"about_ca_topic_score_codex":0.00055584725,"about_ca_topic_score_gemma":0.0005957883,"teacher_disagreement_score":0.0013001151,"about_ca_system_score_codex":0.0001684872,"about_ca_system_score_gemma":0.00041633294,"threshold_uncertainty_score":0.0053915977},"labels":[],"label_agreement":null},{"id":"W2007022741","doi":"10.1118/1.2122587","title":"The physics of computed radiography: Measurements of pulse height spectra of photostimulable phosphor screens using prompt luminescence","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Photostimulated luminescence; Phosphor; Digital radiography; Luminescence; Optics; Materials science; Radiography; Latent image; Computed radiography; Optically stimulated luminescence; Spectroscopy; Photon; Charge-coupled device; PSL; Optoelectronics; Physics; Computer science; Image (mathematics); Image quality; Mathematics","score_opus":0.03221111595073369,"score_gpt":0.27675279426397476,"score_spread":0.24454167831324106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007022741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90120006,0.0030420343,0.09017005,0.00018247844,0.000053360014,0.00014467318,0.00022482466,0.00037014438,0.0046123634],"genre_scores_gemma":[0.9603835,0.0012680191,0.03678998,0.00006364136,0.000020741598,0.0000572095,0.00014243824,0.000039091592,0.0012352965],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996681,0.000052757932,0.000012671253,0.000050919745,0.00019273642,0.000022830998],"domain_scores_gemma":[0.9992792,0.00037082884,0.00014156128,0.000052633703,0.00011086007,0.00004494183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000425259,0.0002666385,0.00014067045,0.0006670157,0.00017167137,0.00050601165,0.0005096416,0.00042530362,0.0007722048],"category_scores_gemma":[0.0014202745,0.00024692403,0.00016390561,0.0006233764,0.00068012386,0.00051976694,0.00037611602,0.0006379119,0.00015180155],"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":[0.0001425814,0.000024202976,0.001330653,0.00013499723,0.0000058015225,0.00008641774,0.00014924702,0.0003664197,0.9869567,0.0009904496,0.00009255872,0.009719995],"study_design_scores_gemma":[0.000012979114,0.00023687273,0.0065377154,0.000010193906,0.000007706676,0.00041256138,0.00005619003,0.0030399153,0.9885501,0.00027602207,0.0008435803,0.000016121574],"about_ca_topic_score_codex":0.0005652274,"about_ca_topic_score_gemma":0.00036420499,"teacher_disagreement_score":0.0007722048,"about_ca_system_score_codex":0.00057481905,"about_ca_system_score_gemma":0.00036384736,"threshold_uncertainty_score":0.0041705966},"labels":[],"label_agreement":null},{"id":"W2007290339","doi":"10.1118/1.2218315","title":"Lag and ghosting in a clinical flat-panel selenium digital mammography system","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":54,"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 Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Hologic; American College of Radiology Imaging Network","keywords":"Ghosting; Detector; Digital mammography; Mammography; Nuclear medicine; Medicine; Optics; Physics; Breast cancer","score_opus":0.01601329344997177,"score_gpt":0.26587183284114263,"score_spread":0.24985853939117086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007290339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99228764,0.00029001888,0.0069480315,0.000035040735,0.0000079034335,0.000021830198,0.00005282911,0.0001277579,0.00022888774],"genre_scores_gemma":[0.9893533,0.00011605493,0.010057764,0.00005169224,0.0000063813345,0.000014703233,0.00010187377,0.000022968457,0.00027532424],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991715,0.0002715112,0.00007396685,0.00013317323,0.00028365725,0.00006631819],"domain_scores_gemma":[0.9961302,0.0023573,0.00049969164,0.0002992678,0.0005292413,0.00018429232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011134805,0.00027603205,0.0004606722,0.0005181153,0.00024229982,0.00058546156,0.0003330018,0.00058377796,0.0008747618],"category_scores_gemma":[0.006217903,0.00030349492,0.00016537833,0.0006071204,0.00036814646,0.0005487695,0.00059495185,0.00043228766,0.00020966449],"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":[0.008017426,0.00054711336,0.059358418,0.00042214125,0.00016773718,0.0021308437,0.0011398217,0.0060046744,0.8648027,0.00032523152,0.00039931777,0.05668452],"study_design_scores_gemma":[0.00039897542,0.015378352,0.17607857,0.000056828598,0.00031673073,0.008792712,0.0005094741,0.042328622,0.7534198,0.00036480435,0.0021377183,0.00021745416],"about_ca_topic_score_codex":0.00047785728,"about_ca_topic_score_gemma":0.00047550676,"teacher_disagreement_score":0.0011134805,"about_ca_system_score_codex":0.00030867278,"about_ca_system_score_gemma":0.00036091762,"threshold_uncertainty_score":0.0058887005},"labels":[],"label_agreement":null},{"id":"W2007505978","doi":"10.1118/1.3006196","title":"The optimal optical readout for the x‐ray light valve—Document scanners","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Scanner; Digitization; Computed radiography; Optics; Mammography; Image quality; Digital radiography; Medical imaging; Detector; Computer science; Nuclear medicine; Physics; Computer vision; Materials science; Radiography; Medical physics; Artificial intelligence; Medicine; Image (mathematics)","score_opus":0.014094453392385497,"score_gpt":0.26937808522880774,"score_spread":0.2552836318364222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007505978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48448244,0.009558313,0.48051378,0.002017335,0.0007029654,0.00047223613,0.0003421655,0.0019484656,0.019962355],"genre_scores_gemma":[0.7476315,0.00092303375,0.24698892,0.00029673037,0.000121926765,0.00011901219,0.00011496268,0.00013226508,0.0036716624],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858475,0.00026231658,0.00011607802,0.00033222247,0.0005923323,0.0001123044],"domain_scores_gemma":[0.9982949,0.0006744861,0.00031832117,0.00015549401,0.00044082757,0.000115964016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012558906,0.00027470416,0.00037822788,0.00043132732,0.00038656592,0.0017279414,0.00086987,0.0010482561,0.0029791342],"category_scores_gemma":[0.0051661306,0.00048725182,0.00018646973,0.00034484762,0.00058457104,0.0016279055,0.0005610008,0.0004778434,0.00092826586],"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":[0.00077770907,0.00012861555,0.004130904,0.0004726852,0.000013690199,0.00033088605,0.00019231293,0.0023841932,0.8546949,0.016797304,0.002217935,0.11785893],"study_design_scores_gemma":[0.00013018165,0.0009030677,0.0061654914,0.000116474934,0.00003037277,0.0018054767,0.0001581968,0.022803925,0.9366866,0.0030960836,0.028019035,0.00008518872],"about_ca_topic_score_codex":0.00034256588,"about_ca_topic_score_gemma":0.00037358404,"teacher_disagreement_score":0.0029791342,"about_ca_system_score_codex":0.0006503084,"about_ca_system_score_gemma":0.0007988685,"threshold_uncertainty_score":0.009966195},"labels":[],"label_agreement":null},{"id":"W2007565760","doi":"10.1117/12.467004","title":"&lt;title&gt;New trends in radiology workstation design&lt;/title&gt;","year":2002,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast 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":"Simon Fraser University","funders":"","keywords":"Workstation; Computer science; Usability; Vendor; Software; Focus (optics); Presentation (obstetrics); Multimedia; Radiology; Human–computer interaction; Operating system; Medicine","score_opus":0.01698376284484313,"score_gpt":0.2352581436290323,"score_spread":0.21827438078418918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007565760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082483955,0.12803319,0.4981835,0.09833847,0.011086173,0.00036124233,0.0006810905,0.0060274475,0.17480497],"genre_scores_gemma":[0.12161863,0.06675228,0.5345013,0.011265458,0.00654947,0.0003382844,0.0023729152,0.0034035773,0.25319812],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940498,0.0015592943,0.00052533793,0.00059857627,0.003062255,0.00020476639],"domain_scores_gemma":[0.9887166,0.0037654242,0.0005311596,0.0009404973,0.0052628075,0.00078347797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005838145,0.0005417552,0.00037766583,0.0015980698,0.00076665764,0.005342202,0.0017136127,0.0025691898,0.037759095],"category_scores_gemma":[0.0074845715,0.00046435266,0.0005141552,0.00251619,0.0012420038,0.00894338,0.0011877883,0.0019759752,0.020642413],"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":[0.00013890084,0.00012654811,0.0040556714,0.0010198897,0.00001933457,0.00024330894,0.001698417,0.0009909671,0.011929419,0.024742143,0.10070428,0.85433114],"study_design_scores_gemma":[0.000026706382,0.00029722613,0.0050137094,0.000445815,0.000027923235,0.00169982,0.0013201461,0.0039758086,0.0040621758,0.016874736,0.9661769,0.000079053425],"about_ca_topic_score_codex":0.0011426791,"about_ca_topic_score_gemma":0.0023888324,"teacher_disagreement_score":0.037759095,"about_ca_system_score_codex":0.0014941656,"about_ca_system_score_gemma":0.0010402882,"threshold_uncertainty_score":0.12631679},"labels":[],"label_agreement":null},{"id":"W2008180750","doi":"10.1118/1.2437097","title":"X‐ray imaging using avalanche multiplication in amorphous selenium: Investigation of depth dependent avalanche noise","year":2007,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Avalanche photodiode; Detective quantum efficiency; Optics; Noise (video); Digital radiography; Quantum noise; Single-photon avalanche diode; Avalanche breakdown; Active matrix; Flat panel detector; Electric field; Physics; Materials science; Optoelectronics; Detector; Computer science; Image quality; Radiography; Voltage; Quantum; Computer vision; Breakdown voltage; Nanotechnology","score_opus":0.01926675066064542,"score_gpt":0.27978613911671246,"score_spread":0.26051938845606704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008180750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93683785,0.0031104248,0.05583619,0.00012646867,0.000024120103,0.00006954701,0.00005459671,0.00014889805,0.0037918887],"genre_scores_gemma":[0.9844199,0.0013007898,0.0123606445,0.000020932059,0.000007348201,0.000017342663,0.000033791053,0.000016788019,0.0018224128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997737,0.000027237153,0.0000064583814,0.00005271909,0.0001182529,0.000021728114],"domain_scores_gemma":[0.9995117,0.00029736554,0.000053711643,0.00002619814,0.00009366878,0.000017370596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045924415,0.00040648822,0.00035617824,0.0003904298,0.00019305498,0.0005060182,0.00054694025,0.000556433,0.0006317954],"category_scores_gemma":[0.0008807158,0.0003121042,0.00030990475,0.0004064111,0.00050854706,0.0006799738,0.00031179728,0.00040158076,0.0001440512],"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":[0.0002284038,0.000113156115,0.004056458,0.00025319785,0.00004226174,0.0006571161,0.0003006532,0.013611317,0.960079,0.0064882655,0.0001274134,0.014042735],"study_design_scores_gemma":[0.000052741823,0.001204313,0.011750961,0.0000707507,0.0000555982,0.0015111478,0.00021235656,0.3707261,0.60915416,0.0022852581,0.0029075404,0.00006903594],"about_ca_topic_score_codex":0.0013548887,"about_ca_topic_score_gemma":0.0007338693,"teacher_disagreement_score":0.0013548887,"about_ca_system_score_codex":0.0005425546,"about_ca_system_score_gemma":0.00022047051,"threshold_uncertainty_score":0.003936529},"labels":[],"label_agreement":null},{"id":"W2008526162","doi":"10.1117/12.877843","title":"Transforming medical imaging applications into collaborative PACS-based telemedical systems","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Workflow; Computer science; Usability; Medical imaging; Architecture; Multimedia; Picture archiving and communication system; Systems architecture; Human–computer interaction; Artificial intelligence","score_opus":0.008807711728993988,"score_gpt":0.23593509314360026,"score_spread":0.22712738141460626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008526162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02161873,0.00019261957,0.96644944,0.00041764107,0.000085753236,0.00030373648,0.000058955553,0.0047525684,0.006120547],"genre_scores_gemma":[0.25206733,0.00060832803,0.73995626,0.0004008845,0.00008537514,0.0003037537,0.00033907834,0.0004403435,0.0057986565],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987956,0.00029513848,0.00013566592,0.00016901166,0.00043842808,0.00016619125],"domain_scores_gemma":[0.99857163,0.0002510511,0.00010896134,0.0004741136,0.000414789,0.00017953676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015562522,0.0004514139,0.00036776517,0.0006206382,0.000534726,0.0026301136,0.0015662869,0.0012780768,0.0014981427],"category_scores_gemma":[0.0026670177,0.00048611054,0.00060647907,0.0006458693,0.0005494109,0.0018471702,0.0030014522,0.0016757444,0.0014415036],"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":[0.00059315347,0.0009312704,0.010696856,0.00077637477,0.00023443783,0.00232543,0.003647372,0.05157983,0.15781276,0.1437985,0.022744905,0.6048591],"study_design_scores_gemma":[0.00020542863,0.00036144804,0.012212547,0.00036690236,0.00031070257,0.001933686,0.0011920014,0.47292864,0.16503856,0.096223585,0.24903187,0.00019459797],"about_ca_topic_score_codex":0.0016649408,"about_ca_topic_score_gemma":0.0014802171,"teacher_disagreement_score":0.0026301136,"about_ca_system_score_codex":0.00062297465,"about_ca_system_score_gemma":0.0012202866,"threshold_uncertainty_score":0.008230329},"labels":[],"label_agreement":null},{"id":"W2009183362","doi":"10.1118/1.3250863","title":"The myth of the 50‐50 breast","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":247,"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 Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Terry Fox Foundation","keywords":"Breast density; Mammography; Breast tissue; Nuclear medicine; Medicine; Dosimetry; Breast cancer; Breast imaging; Radiology; Internal medicine","score_opus":0.006877134415540989,"score_gpt":0.24230322741932664,"score_spread":0.23542609300378564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009183362","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22208765,0.06400045,0.17803547,0.3180661,0.017981958,0.00014226304,0.0012399361,0.0011947925,0.1972514],"genre_scores_gemma":[0.8793775,0.0123978965,0.043641713,0.03774065,0.0035684158,0.00018965533,0.0002660318,0.0002596616,0.022558501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99806494,0.000844662,0.00009649269,0.0003453528,0.00055844756,0.00009002534],"domain_scores_gemma":[0.9978047,0.0010417255,0.00022879214,0.000377167,0.0003778002,0.00016994282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033022354,0.0004078553,0.0003067141,0.0006160532,0.00085566746,0.0020212873,0.00096635317,0.0013881676,0.003240137],"category_scores_gemma":[0.008432149,0.00025435202,0.00040257134,0.00036517257,0.007125688,0.0027717971,0.0011641125,0.0023503823,0.001320582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013550591,0.000120183024,0.033601232,0.00070539356,0.00013090398,0.0012192213,0.004963961,0.0049121096,0.008303641,0.47555605,0.13801008,0.33112216],"study_design_scores_gemma":[0.00007932865,0.00047017456,0.02349131,0.001534324,0.00012311245,0.014822171,0.0047005066,0.0066658775,0.005237876,0.30085507,0.6418658,0.00015456288],"about_ca_topic_score_codex":0.0014123148,"about_ca_topic_score_gemma":0.0009608947,"teacher_disagreement_score":0.0033022354,"about_ca_system_score_codex":0.0010887234,"about_ca_system_score_gemma":0.0009219548,"threshold_uncertainty_score":0.017464101},"labels":[],"label_agreement":null},{"id":"W2010276144","doi":"10.1016/j.nima.2010.09.082","title":"Finding the best photoconductor for digital mammography detectors","year":2010,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials","funders":"","keywords":"Detective quantum efficiency; Optical transfer function; Detector; Mammography; Monte Carlo method; Digital mammography; Optics; Noise (video); Quantum noise; Physics; Digital radiography; Materials science; Quantum; Image quality; Computer science; Mathematics; Radiography; Medicine; Statistics; Nuclear physics; Image (mathematics)","score_opus":0.05782685979606871,"score_gpt":0.39633778142036485,"score_spread":0.33851092162429613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010276144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5087092,0.022000778,0.41854796,0.010294368,0.0014182415,0.0013955669,0.0012627955,0.0095514245,0.026819685],"genre_scores_gemma":[0.6405868,0.0034996667,0.34070796,0.0010542595,0.0003045187,0.00025975303,0.00053134945,0.0008658685,0.012189802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989281,0.00015451584,0.00009380605,0.00039449031,0.00030073067,0.00012828104],"domain_scores_gemma":[0.996765,0.000746505,0.000487705,0.00037612056,0.001432294,0.00019244832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016094,0.0010509148,0.0012429932,0.0013577129,0.0013544655,0.001993183,0.0022888887,0.0021110526,0.011051545],"category_scores_gemma":[0.005034967,0.0010578145,0.00081623934,0.00085378735,0.00052910566,0.004783469,0.00087180786,0.0011094174,0.0039828904],"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":[0.0009951461,0.0002932073,0.006839894,0.0013914024,0.00016055284,0.0004100482,0.00020251544,0.0035827225,0.7758774,0.003497992,0.008289471,0.19845963],"study_design_scores_gemma":[0.0001433388,0.0013287588,0.0051529678,0.00030654215,0.00037190746,0.0009587984,0.0003584396,0.020257307,0.93764037,0.0029276735,0.030420134,0.00013381838],"about_ca_topic_score_codex":0.0014420184,"about_ca_topic_score_gemma":0.0034603933,"teacher_disagreement_score":0.011051545,"about_ca_system_score_codex":0.0019485997,"about_ca_system_score_gemma":0.0014376143,"threshold_uncertainty_score":0.036971092},"labels":[],"label_agreement":null},{"id":"W2010365793","doi":"10.1056/nejmoa013390","title":"Heritability of Mammographic Density, a Risk Factor for Breast Cancer","year":2002,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":617,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Cancer Care Ontario; Ontario Institute for Cancer Research","funders":"","keywords":"Heritability; Medicine; Confidence interval; Concordance; Demography; Twin study; Breast cancer; Dizygotic twin; Mammography; Monozygotic twin; Obstetrics; Cancer; Internal medicine; Genetics; Biology","score_opus":0.02199735586417302,"score_gpt":0.2702748378567097,"score_spread":0.24827748199253669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010365793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949285,0.0016478188,0.001926579,0.0001431103,0.000016492304,0.000023524,0.0003614586,0.000025701,0.0009268721],"genre_scores_gemma":[0.99910873,0.00021429552,0.00043625824,0.0000087250355,0.000008967091,0.0000043459145,0.00012208852,0.0000015592011,0.00009501338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996107,0.00012118611,0.000029156592,0.00010880015,0.00009079147,0.000039366263],"domain_scores_gemma":[0.9993081,0.0002470515,0.00022736366,0.000084530606,0.000076960714,0.000055900153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006838164,0.00022921104,0.00026790216,0.0005584347,0.00023358663,0.00037887009,0.0001876036,0.00023233876,0.0007667178],"category_scores_gemma":[0.0033251196,0.00021575432,0.00018744411,0.0004201757,0.0004260476,0.00019422908,0.00031370437,0.00027197407,0.00009390757],"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":[0.00010441885,0.00003674515,0.98316944,0.000047719936,0.0003226019,0.00036851308,0.00030545372,0.0007125244,0.003734716,0.0006428444,0.00040726387,0.010147722],"study_design_scores_gemma":[0.000004469252,0.000021647278,0.9979825,0.00001205864,0.0000708921,0.00052666967,0.000053000116,0.00058794185,0.00015555421,0.0003498478,0.00023235226,0.0000031039463],"about_ca_topic_score_codex":0.011314607,"about_ca_topic_score_gemma":0.0053399093,"teacher_disagreement_score":0.011314607,"about_ca_system_score_codex":0.0002781654,"about_ca_system_score_gemma":0.0003309459,"threshold_uncertainty_score":0.022497475},"labels":[],"label_agreement":null},{"id":"W2010663973","doi":"10.1148/radiol.2283020961","title":"Contrast-enhanced Digital Mammography: Initial Clinical Experience","year":2003,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":277,"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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Mammography; Digital mammography; Radiology; Biopsy; Ductal carcinoma; Breast cancer; Magnetic resonance imaging; Breast MRI; Lesion; Contrast (vision); Nuclear medicine; Cancer; Pathology; Internal medicine","score_opus":0.026610489306995725,"score_gpt":0.34367706024448114,"score_spread":0.3170665709374854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010663973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99205196,0.003932628,0.0011129164,0.0004469377,0.000036589918,0.000060083534,0.00004554488,0.000040060768,0.002273244],"genre_scores_gemma":[0.99463886,0.00217831,0.0015049126,0.00060747575,0.00011642586,0.000031171363,0.0001385573,0.00001211927,0.000772085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915683,0.00032200676,0.00005326965,0.00014614403,0.00015915169,0.00016268864],"domain_scores_gemma":[0.99845254,0.00053745933,0.00013739172,0.00015711006,0.00015830212,0.0005571783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011532728,0.00074776675,0.0004089372,0.0004693054,0.0004611461,0.00073299283,0.0005100763,0.0012132834,0.0020870166],"category_scores_gemma":[0.0074251913,0.00037888795,0.0002490444,0.00040157442,0.0007132973,0.0007221754,0.0008238397,0.00075315294,0.0009824417],"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":[0.003108808,0.004667139,0.7195806,0.00041332966,0.0001332315,0.05965469,0.0034237797,0.000799511,0.017243259,0.00033967194,0.0045275427,0.1861085],"study_design_scores_gemma":[0.0014162225,0.024166832,0.42547482,0.00035923527,0.00024987277,0.4882673,0.0025750299,0.0026693873,0.014811689,0.00081633055,0.039014384,0.00017887482],"about_ca_topic_score_codex":0.0004946398,"about_ca_topic_score_gemma":0.00058665493,"teacher_disagreement_score":0.0020870166,"about_ca_system_score_codex":0.00030373575,"about_ca_system_score_gemma":0.00029631905,"threshold_uncertainty_score":0.00698179},"labels":[],"label_agreement":null},{"id":"W2010966755","doi":"10.1118/1.2839279","title":"Digital radiography using amorphous selenium: Photoconductively activated switch (PAS) readout system","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Digital radiography; Computed radiography; Medical imaging; Radiography; Selenium; Medical physics; Materials science; Nuclear medicine; Optics; Computer science; Medicine; Radiology; Physics; Computer vision; Image quality","score_opus":0.03227022219726897,"score_gpt":0.2552070619528232,"score_spread":0.22293683975555426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010966755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7119735,0.0018042516,0.26801008,0.0005377166,0.0002667776,0.00022005512,0.00074272254,0.0061705075,0.010274508],"genre_scores_gemma":[0.77177876,0.00070989446,0.21820971,0.0002531542,0.00008247876,0.00009787041,0.00040710485,0.000101959144,0.008359014],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963105,0.000042510124,0.000020229054,0.00010620313,0.00017804514,0.000021926142],"domain_scores_gemma":[0.9996879,0.00008932798,0.000062636456,0.0000364545,0.00009702825,0.000026628773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031739802,0.00029207708,0.00033477772,0.00036065746,0.00014085931,0.00060445815,0.00087048847,0.0006695725,0.0025318651],"category_scores_gemma":[0.0004646079,0.00022349051,0.00017947354,0.00035501094,0.00023785017,0.00061154045,0.00036592805,0.00038600768,0.0006423625],"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":[0.00018497132,0.00003846439,0.001336934,0.0001485276,0.00001865438,0.00016492834,0.000038068185,0.0002745066,0.96277493,0.0006766835,0.0007931757,0.033550017],"study_design_scores_gemma":[0.000041877425,0.0005434972,0.004291943,0.0000147975525,0.000048329275,0.001802749,0.00003068169,0.0078568235,0.9754715,0.00014631149,0.009722333,0.000029176135],"about_ca_topic_score_codex":0.00025471338,"about_ca_topic_score_gemma":0.0004480571,"teacher_disagreement_score":0.0025318651,"about_ca_system_score_codex":0.00037025032,"about_ca_system_score_gemma":0.00030181502,"threshold_uncertainty_score":0.00846988},"labels":[],"label_agreement":null},{"id":"W2011249319","doi":"10.1116/1.2172923","title":"Single photon counter for digital x-ray mammography tomosynthesis","year":2006,"lang":"en","type":"article","venue":"Journal of Vacuum Science & Technology A Vacuum Surfaces and Films","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto; Sunnybrook Health Science Centre; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tomosynthesis; Photon counting; Digital mammography; Optics; Pixel; Comparator; Detective quantum efficiency; Mammography; Physics; Photon; Linearity; Silicon photomultiplier; Detector; Computer science; Image quality; Voltage; Artificial intelligence; Image (mathematics); Medicine","score_opus":0.006964610620183123,"score_gpt":0.2286398999533591,"score_spread":0.22167528933317598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011249319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027554221,0.0125815375,0.9331447,0.000955714,0.0011098736,0.00035270554,0.00065014866,0.0035073021,0.020143686],"genre_scores_gemma":[0.2465441,0.0036458666,0.72222394,0.00071096845,0.00030901594,0.00035252213,0.0007063994,0.00022151723,0.025285708],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994836,0.0000850874,0.000024281864,0.000074041556,0.0003117138,0.000021300126],"domain_scores_gemma":[0.9993383,0.0002499467,0.00006638154,0.00007061502,0.00024348604,0.000031289026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048247984,0.0003360486,0.00047842498,0.0005352581,0.00040270094,0.000678248,0.0008928772,0.0005133707,0.008165635],"category_scores_gemma":[0.0015476833,0.00016476604,0.00021500025,0.0006219231,0.00025172814,0.00053625926,0.00039738033,0.000750761,0.0025579457],"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":[0.0004906077,0.00007213492,0.0031605542,0.0010415108,0.00007157772,0.00048496062,0.00014098945,0.0066543696,0.37040177,0.071929105,0.017051028,0.5285014],"study_design_scores_gemma":[0.00014454735,0.00094702264,0.0034139098,0.0002760241,0.00027761495,0.0038783185,0.00008511921,0.1403769,0.52184504,0.014407878,0.31419477,0.00015281152],"about_ca_topic_score_codex":0.00038825203,"about_ca_topic_score_gemma":0.00059962645,"teacher_disagreement_score":0.008165635,"about_ca_system_score_codex":0.0005443811,"about_ca_system_score_gemma":0.00092483533,"threshold_uncertainty_score":0.02731675},"labels":[],"label_agreement":null},{"id":"W2011268162","doi":"10.1118/1.4799841","title":"Evaluating noise reduction techniques while considering anatomical noise in dual‐energy contrast‐enhanced mammography","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; University of Waterloo","keywords":"Mammography; Noise reduction; Noise (video); Digital mammography; Reduction (mathematics); Dual energy; Contrast-to-noise ratio; Medical imaging; Medical physics; Signal-to-noise ratio (imaging); Digital Enhanced Cordless Telecommunications; Contrast (vision); Computer science; Acoustics; Medicine; Radiology; Physics; Optics; Image quality; Artificial intelligence; Mathematics; Telecommunications; Breast cancer; Wireless","score_opus":0.019172992997732834,"score_gpt":0.29154061217381844,"score_spread":0.2723676191760856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011268162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14497535,0.0007213371,0.8528933,0.00009984186,0.000045026936,0.00013178636,0.000026592483,0.00030593562,0.00080077094],"genre_scores_gemma":[0.6569072,0.00065733725,0.34046322,0.00007013704,0.0000367561,0.0001111224,0.000082660306,0.000100173434,0.0015713609],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99800795,0.000553686,0.00009432193,0.00021809098,0.0010588927,0.00006707122],"domain_scores_gemma":[0.9974873,0.0013895278,0.00029317886,0.00021656035,0.0005688548,0.000044445747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002357881,0.001106865,0.0007767151,0.0012629932,0.00040079196,0.0010733018,0.0010479914,0.0010080199,0.0009353841],"category_scores_gemma":[0.0073252884,0.0005368794,0.0010256452,0.0005794084,0.00048991176,0.00086903904,0.0008526341,0.00043004352,0.0002930578],"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":[0.0015061683,0.00041901038,0.01355933,0.00079081475,0.00025047554,0.00042256986,0.00042585775,0.3396818,0.2655135,0.004168122,0.00062573876,0.3726367],"study_design_scores_gemma":[0.000029530489,0.000567999,0.0058854204,0.000037619087,0.00014014266,0.00039426776,0.000047279136,0.8828461,0.1072314,0.001697528,0.001061174,0.000061498824],"about_ca_topic_score_codex":0.00206025,"about_ca_topic_score_gemma":0.0032691457,"teacher_disagreement_score":0.002357881,"about_ca_system_score_codex":0.0010297671,"about_ca_system_score_gemma":0.0007840168,"threshold_uncertainty_score":0.012469828},"labels":[],"label_agreement":null},{"id":"W2011605965","doi":"10.1118/1.4897384","title":"A method to estimate the fractional fat volume within a ROI of a breast biopsy for WAXS applications: Animal tissue evaluation","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Laurentian University","funders":"Canadian Institutes of Health Research","keywords":"Breast tissue; Biopsy; Volume (thermodynamics); Radiology; Breast biopsy; Medical imaging; Medicine; Biomedical engineering; Nuclear medicine; Medical physics; Mammography; Breast cancer; Physics; Internal medicine","score_opus":0.01899081457844162,"score_gpt":0.37913169195518587,"score_spread":0.3601408773767443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011605965","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0369633,0.002307588,0.95859563,0.000088424735,0.000045965407,0.00015726624,0.00016690594,0.0011059544,0.0005688822],"genre_scores_gemma":[0.10040447,0.0015003902,0.89493996,0.00008566198,0.000031869124,0.00035993967,0.00023757039,0.00018049785,0.0022596063],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992562,0.00013382875,0.000029972105,0.00020450205,0.0003475103,0.000028023476],"domain_scores_gemma":[0.99889886,0.0003460766,0.00018307476,0.00014836,0.00038231054,0.000041303716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019521399,0.0008862933,0.0005196363,0.0019050544,0.00025962468,0.0005801241,0.00077725487,0.001010248,0.0014472317],"category_scores_gemma":[0.0022256104,0.00058700674,0.00042022916,0.0006488041,0.00048809274,0.0006720809,0.00045950865,0.0007177869,0.0010790542],"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":[0.00015835756,0.000032213033,0.003089484,0.0003034094,0.000055087858,0.00006360316,0.000066670545,0.0018291202,0.895487,0.0005376994,0.00029283974,0.09808456],"study_design_scores_gemma":[0.000028032613,0.00060669205,0.015692094,0.000096824966,0.0001651753,0.0022374236,0.00008994533,0.08113555,0.8876979,0.00060767814,0.011548439,0.00009421921],"about_ca_topic_score_codex":0.00079097354,"about_ca_topic_score_gemma":0.00179562,"teacher_disagreement_score":0.0019521399,"about_ca_system_score_codex":0.0005527913,"about_ca_system_score_gemma":0.0005801246,"threshold_uncertainty_score":0.010324061},"labels":[],"label_agreement":null},{"id":"W2011840423","doi":"10.1118/1.3567147","title":"The characterization of breast anatomical metrics using dedicated breast CT","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":115,"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 Sciences Centre; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Susan G. Komen; Susan G. Komen for the Cure","keywords":"Breast cancer; Sagittal plane; Medicine; Breast imaging; Breast tissue; Coronal plane; Nuclear medicine; Mammography; Radiology; Internal medicine; Cancer","score_opus":0.02373791921633208,"score_gpt":0.2543372773554345,"score_spread":0.2305993581391024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011840423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80151707,0.0026730662,0.19183943,0.00008257768,0.000016059197,0.00009999565,0.000849693,0.0007080128,0.0022139975],"genre_scores_gemma":[0.9557106,0.0006612854,0.042198285,0.000048419835,0.000016442393,0.0000792986,0.00088973116,0.00008987774,0.00030611793],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995197,0.00014043317,0.000044826273,0.000087541055,0.00018257357,0.000024981578],"domain_scores_gemma":[0.99776554,0.00088864873,0.0005393698,0.00029442643,0.0004191601,0.00009282881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070502283,0.00045435925,0.00030501085,0.0015084342,0.00014222489,0.0005630922,0.00033422696,0.00028997473,0.0005337142],"category_scores_gemma":[0.0054130373,0.00019134516,0.00029082442,0.0008259912,0.00031262776,0.00042724865,0.00039184766,0.00017931583,0.00017885445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067469775,0.00011630885,0.2940256,0.0009844931,0.0003209448,0.00070879475,0.00053917326,0.05214405,0.29402107,0.002089894,0.0016458783,0.35272905],"study_design_scores_gemma":[0.000037112535,0.00053194957,0.5981085,0.00014041566,0.0002513799,0.015324963,0.00027033503,0.19500235,0.18060683,0.0017714817,0.007817591,0.0001371054],"about_ca_topic_score_codex":0.0017508301,"about_ca_topic_score_gemma":0.0015149558,"teacher_disagreement_score":0.0017508301,"about_ca_system_score_codex":0.00032896572,"about_ca_system_score_gemma":0.00029619082,"threshold_uncertainty_score":0.0037285686},"labels":[],"label_agreement":null},{"id":"W2012452413","doi":"10.1007/s10278-004-1003-9","title":"Design Requirements for Radiology Workstations","year":2004,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workflow; Workstation; Computer science; Teleradiology; Process (computing); Automation; Multimedia; Reading (process); Modality (human–computer interaction); Medical physics; Software engineering; Medicine; Human–computer interaction; Database; Operating system; Telemedicine; Engineering","score_opus":0.03769886284639481,"score_gpt":0.3124331289317477,"score_spread":0.2747342660853529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012452413","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07993547,0.0007876288,0.88968855,0.00055644836,0.00011015644,0.00070247205,0.0005318668,0.003889134,0.023798298],"genre_scores_gemma":[0.5987783,0.0004938383,0.37978384,0.00027079167,0.00009226412,0.0007297534,0.0012601555,0.0016276828,0.016963275],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99248403,0.0013436537,0.00081021513,0.00044976466,0.0041920696,0.00072025164],"domain_scores_gemma":[0.9828198,0.006976111,0.0018633562,0.0016724424,0.006195912,0.00047233683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031541171,0.0011275525,0.0008365609,0.0014323763,0.0009986511,0.002796195,0.0026968801,0.0019536437,0.0096002165],"category_scores_gemma":[0.015692133,0.0014990504,0.0007585779,0.0006138108,0.00054320606,0.0019827934,0.0013891337,0.0007117077,0.003894958],"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":[0.0013753957,0.00048296773,0.012158368,0.003614139,0.00017339973,0.0029628475,0.002864767,0.15912423,0.32272887,0.06453494,0.018142713,0.41183743],"study_design_scores_gemma":[0.00033562444,0.0020615407,0.014044824,0.0007359312,0.0005966224,0.0078248335,0.0017650824,0.4955979,0.27033216,0.037868947,0.1685514,0.00028510383],"about_ca_topic_score_codex":0.0016900524,"about_ca_topic_score_gemma":0.001597291,"teacher_disagreement_score":0.0096002165,"about_ca_system_score_codex":0.00080654846,"about_ca_system_score_gemma":0.0010706924,"threshold_uncertainty_score":0.032115936},"labels":[],"label_agreement":null},{"id":"W2013618133","doi":"10.1118/1.3244113","title":"Poster — Wed Eve—09: Quest for a “Gold Standard” for Breast Density Evaluation","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Gold standard (test); Thresholding; Breast density; Kappa; Cohen's kappa; Population; Statistics; Standard error; Mathematics; Sample (material); Artificial intelligence; Standard deviation; Computer science; Pattern recognition (psychology); Breast cancer; Medicine; Image (mathematics); Mammography; Physics","score_opus":0.019606852773982258,"score_gpt":0.31578238448262336,"score_spread":0.2961755317086411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013618133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7344608,0.0059307865,0.18079257,0.009248168,0.0034294247,0.0015192862,0.0009001319,0.0011173275,0.06260153],"genre_scores_gemma":[0.81133825,0.0010630395,0.16597417,0.0008722623,0.00072824035,0.00029054,0.0009938519,0.00036614243,0.018373534],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9964275,0.0015509477,0.00023039241,0.0003232457,0.0012654617,0.00020240377],"domain_scores_gemma":[0.99148774,0.0023255062,0.00037882468,0.0011219335,0.004173264,0.00051277736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01875143,0.00037968738,0.0005196267,0.0019002225,0.000926934,0.0014416024,0.00059363234,0.00073092285,0.008404993],"category_scores_gemma":[0.014288756,0.00024605778,0.00042225159,0.00043069315,0.00092532975,0.00082013686,0.0013397378,0.0009983163,0.0036382815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036578698,0.0013345205,0.1599978,0.00067343743,0.00012678857,0.0011440386,0.0023935023,0.0014622621,0.083071806,0.007600929,0.028093008,0.71044403],"study_design_scores_gemma":[0.00048200504,0.011239449,0.47356826,0.0010953558,0.0003734602,0.0128033785,0.007001388,0.029294575,0.3259201,0.01726264,0.120559186,0.0004001751],"about_ca_topic_score_codex":0.0008630994,"about_ca_topic_score_gemma":0.0013820911,"teacher_disagreement_score":0.01875143,"about_ca_system_score_codex":0.00050313026,"about_ca_system_score_gemma":0.0011491944,"threshold_uncertainty_score":0.09916824},"labels":[],"label_agreement":null},{"id":"W2013959342","doi":"10.1118/1.1539038","title":"A volumetric method for estimation of breast density on digitized screen‐film mammograms","year":2003,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Terry Fox Foundation","keywords":"Mammography; Imaging phantom; Calibration; Materials science; Wedge (geometry); Biomedical engineering; Optics; Breast cancer; Medicine; Mathematics; Physics; Cancer","score_opus":0.01454132907119175,"score_gpt":0.2943345901540295,"score_spread":0.27979326108283775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013959342","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043807947,0.0028502406,0.9860589,0.0000628875,0.00024487762,0.0005839264,0.0009791902,0.0027637708,0.0020755085],"genre_scores_gemma":[0.035467483,0.0029356238,0.9543242,0.00010339073,0.00014363228,0.0014680352,0.0011208182,0.00047933075,0.0039574686],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982665,0.00033241924,0.00009189762,0.00018394191,0.0010634544,0.00006191204],"domain_scores_gemma":[0.9980344,0.0009658254,0.00022596933,0.00024008245,0.00047739266,0.00005626243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014801867,0.0010848803,0.0008366933,0.0070239273,0.00045702854,0.00080697204,0.0018668016,0.0006835779,0.007905511],"category_scores_gemma":[0.0034668352,0.0010625877,0.0005601299,0.0028723464,0.00059599814,0.0008318147,0.0008946259,0.0010299776,0.0030746842],"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":[0.000333626,0.00016608748,0.006570626,0.0016680394,0.00022798056,0.00036817134,0.00015931235,0.005031766,0.2572032,0.010683919,0.014583953,0.7030033],"study_design_scores_gemma":[0.00034700395,0.0020123858,0.070925735,0.00096151466,0.0006770238,0.028747134,0.0003179676,0.17626347,0.35978097,0.021602655,0.33717644,0.0011877051],"about_ca_topic_score_codex":0.0011965008,"about_ca_topic_score_gemma":0.0019420442,"teacher_disagreement_score":0.007905511,"about_ca_system_score_codex":0.00045500393,"about_ca_system_score_gemma":0.0005289572,"threshold_uncertainty_score":0.02644658},"labels":[],"label_agreement":null},{"id":"W2014383824","doi":"10.1088/0031-9155/58/15/5215","title":"Towards a nanoscale mammographic contrast agent: development of a modular pre-clinical dual optical/x-ray agent","year":2013,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Extravasation; Attenuation; Mammography; Nanoscopic scale; Contrast (vision); Biomedical engineering; Materials science; Nanotechnology; Optics; Medicine; Breast cancer; Cancer; Pathology; Physics","score_opus":0.12088008132688792,"score_gpt":0.3704392077999755,"score_spread":0.2495591264730876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014383824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5609547,0.010056748,0.4175612,0.0016388298,0.0002930722,0.0015237126,0.0004952534,0.0017643764,0.0057121003],"genre_scores_gemma":[0.5482894,0.003685398,0.44012585,0.00089622283,0.00010203769,0.0006485817,0.0004941583,0.00017540253,0.005582964],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997954,0.000029639978,0.0000121208195,0.000052384792,0.00008558032,0.000024879964],"domain_scores_gemma":[0.9997259,0.000042938616,0.00006938667,0.00001899859,0.000069717134,0.00007313738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046709582,0.0004901976,0.00031854818,0.0003142159,0.00012511553,0.00046545218,0.00050094764,0.00072855916,0.00083960354],"category_scores_gemma":[0.000599148,0.00031229318,0.00029796726,0.00011786939,0.00030292256,0.0006206281,0.00048487014,0.00076767564,0.00061355816],"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":[0.00004408428,0.000037694772,0.0001338236,0.000068132715,0.00000565582,0.00005289231,0.0000131590705,0.00017668036,0.9923517,0.000276298,0.00012361632,0.006716252],"study_design_scores_gemma":[0.000029405082,0.00048337367,0.0008525119,0.00001451162,0.000027273953,0.0006732604,0.000010414051,0.002938906,0.9845813,0.000076076656,0.010299535,0.000013361071],"about_ca_topic_score_codex":0.00033267247,"about_ca_topic_score_gemma":0.000404388,"teacher_disagreement_score":0.00083960354,"about_ca_system_score_codex":0.00038183172,"about_ca_system_score_gemma":0.00037166616,"threshold_uncertainty_score":0.00280869},"labels":[],"label_agreement":null},{"id":"W2015255232","doi":"10.1118/1.3613498","title":"TH‐B‐301‐01: FFDM Quality Control Testing in Canada ‐ a Vendor‐Neutral Approach","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mammography; Quality assurance; Digital mammography; Medical physics; Vendor; Imaging phantom; Quality (philosophy); Image quality; Medical physicist; Presentation (obstetrics); Computer science; Test (biology); Quality control; Control (management); Medicine; Artificial intelligence; Nuclear medicine; Breast cancer; Radiology","score_opus":0.053584724740094763,"score_gpt":0.2595071982912444,"score_spread":0.20592247355114965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015255232","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28016636,0.011059047,0.12017393,0.040591322,0.0011005609,0.01141449,0.025031097,0.005314562,0.5051486],"genre_scores_gemma":[0.69566107,0.00513857,0.14058132,0.014849962,0.00012434645,0.0033256358,0.0148815485,0.001019614,0.12441794],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.97266924,0.0040278793,0.001195756,0.001661944,0.017830266,0.0026148318],"domain_scores_gemma":[0.9360118,0.0028519966,0.0015148226,0.0019381143,0.054675482,0.0030077174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021901418,0.00062282,0.0004621725,0.00498541,0.0039548064,0.0046599666,0.0043665115,0.0012918365,0.006955218],"category_scores_gemma":[0.021910433,0.0008728981,0.0007741768,0.0049017365,0.0022867315,0.00088337116,0.0022988971,0.0015838932,0.0013528122],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014540541,0.0013985856,0.18877225,0.0017244373,0.000277312,0.0015515857,0.004002873,0.007916971,0.031733833,0.05829797,0.18487515,0.517995],"study_design_scores_gemma":[0.00034023903,0.0010044172,0.4247866,0.0014308298,0.00018364536,0.00078011915,0.0030104683,0.014111114,0.02184025,0.0026124255,0.52962047,0.00027947372],"about_ca_topic_score_codex":0.97890866,"about_ca_topic_score_gemma":0.9779809,"teacher_disagreement_score":0.09523895,"about_ca_system_score_codex":0.09523895,"about_ca_system_score_gemma":0.22937788,"threshold_uncertainty_score":0.6910101},"labels":[],"label_agreement":null},{"id":"W2015957491","doi":"10.1117/12.595956","title":"One-dimensional scatter grid for the SenoScan slot-scanning digital mammography system","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Detector; Collimated light; Mammography; Digital mammography; Optics; Imaging phantom; Scanner; Reduction (mathematics); Grid; Computer science; Dynamic range; Image quality; Physics; Computer vision","score_opus":0.009732453839571182,"score_gpt":0.22074276796243175,"score_spread":0.21101031412286056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015957491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48035592,0.00046190774,0.5094186,0.0001837584,0.000078028075,0.00039289764,0.00061317463,0.005157819,0.0033379374],"genre_scores_gemma":[0.547286,0.00019040906,0.4497304,0.00008125394,0.00001144815,0.00026400381,0.00044732692,0.00030018692,0.0016890251],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996692,0.00007662945,0.000028395922,0.00004705321,0.00016022024,0.00001861808],"domain_scores_gemma":[0.999014,0.00029272868,0.0001530782,0.00023415101,0.00024342861,0.00006258237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063247135,0.0002623781,0.00036933954,0.00027912683,0.0001522483,0.00033181283,0.0005104411,0.00020275175,0.0036515445],"category_scores_gemma":[0.001559232,0.00025727096,0.00019798474,0.00042200374,0.00015821987,0.00034192362,0.00045714332,0.00014135109,0.0005255721],"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":[0.004035585,0.0003412321,0.015938077,0.00077458407,0.00009952815,0.0005638501,0.00026090717,0.035042826,0.74606955,0.0048499494,0.004852343,0.1871716],"study_design_scores_gemma":[0.0006512338,0.0031567004,0.046592895,0.000091688285,0.0002046171,0.0045796735,0.00012737769,0.27832624,0.6231419,0.0021008314,0.040747497,0.00027934441],"about_ca_topic_score_codex":0.00072016654,"about_ca_topic_score_gemma":0.0013481651,"teacher_disagreement_score":0.0036515445,"about_ca_system_score_codex":0.00042532122,"about_ca_system_score_gemma":0.0005374382,"threshold_uncertainty_score":0.012215555},"labels":[],"label_agreement":null},{"id":"W2016999745","doi":"10.1007/s10549-014-3088-2","title":"Digital compared to screen-film mammography: breast cancer prognostic features in an organized screening program","year":2014,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"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 Toronto; Health Sciences Centre; University Health Network; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance; Association Canadienne des Radiologistes; Cancer Care Ontario; Breast Cancer Alliance; Cancer Research Institute","keywords":"Medicine; Mammography; Confidence interval; Breast cancer; Odds ratio; Radiography; Computed radiography; Radiology; Logistic regression; Stage (stratigraphy); Cancer; Internal medicine","score_opus":0.033356529873166625,"score_gpt":0.3583288994832844,"score_spread":0.3249723696101178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016999745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994578,0.00012083062,0.00002677493,0.000043966298,0.0000037860514,0.000004810985,0.000048922426,0.000002218047,0.00029093545],"genre_scores_gemma":[0.9997507,0.000040655676,0.000029478058,0.000014245811,0.000006524758,0.0000019220383,0.000057908535,6.727476e-7,0.00009799461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997044,0.000115929564,0.00002053343,0.00004374729,0.000044513068,0.000070806134],"domain_scores_gemma":[0.9982691,0.0007083585,0.00049145747,0.000078723824,0.000082909886,0.0003694048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006254996,0.00023957035,0.00031294563,0.00075735466,0.00028391153,0.0006792681,0.00032541007,0.00045651122,0.0020238168],"category_scores_gemma":[0.004161149,0.00010959906,0.00035928164,0.0010247203,0.00027729027,0.00055454945,0.0004828642,0.00035518184,0.00012508345],"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":[0.0024333757,0.0003503822,0.99072284,0.000014493853,0.00003909808,0.00008305632,0.000099310266,0.000090003705,0.0002617036,0.00004128702,0.0000841181,0.0057802703],"study_design_scores_gemma":[0.000073892195,0.0012482058,0.99693006,0.000009409204,0.000088030276,0.00017425358,0.0004969494,0.00062878634,0.00014634144,0.00007573285,0.00012383788,0.0000044369745],"about_ca_topic_score_codex":0.0048001623,"about_ca_topic_score_gemma":0.007059656,"teacher_disagreement_score":0.0048001623,"about_ca_system_score_codex":0.00043652387,"about_ca_system_score_gemma":0.0005985601,"threshold_uncertainty_score":0.009544432},"labels":[],"label_agreement":null},{"id":"W2017450822","doi":"10.1117/12.708347","title":"Characterization of a CMOS detector for limited-view mammography","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":"CancerCare Manitoba","funders":"Manitoba Medical Service Foundation","keywords":"Detective quantum efficiency; Optical transfer function; Detector; Optics; X-ray detector; CMOS; Materials science; Mammography; Digital radiography; Image sensor; Image quality; Computed radiography; Physics; Optoelectronics; Computer science; Radiography; Medicine","score_opus":0.010047858022415647,"score_gpt":0.23034084629843224,"score_spread":0.2202929882760166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017450822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7620526,0.002974638,0.22761269,0.0005558208,0.00011849297,0.00052442844,0.00081690477,0.0008628476,0.0044816337],"genre_scores_gemma":[0.86126035,0.0009010866,0.1328658,0.0003599851,0.000030672472,0.00024313782,0.0006800195,0.00009214374,0.0035667242],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989182,0.00010440415,0.00004345079,0.00015172674,0.00071475486,0.00006749278],"domain_scores_gemma":[0.9988588,0.00050271075,0.00012398827,0.00008100614,0.00036989173,0.00006363898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009516266,0.00035194354,0.00047769584,0.00036627255,0.00026698955,0.00046336467,0.0009014674,0.00067149405,0.0013667985],"category_scores_gemma":[0.0026028487,0.0002170629,0.00025172622,0.00027785686,0.00025158227,0.0003533094,0.00028766118,0.00024023185,0.0006146626],"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":[0.00004570387,0.000023694673,0.0011428345,0.00007135784,0.000010028326,0.000095752795,0.000035248304,0.0004534068,0.99343055,0.0002912776,0.00015638812,0.0042437706],"study_design_scores_gemma":[0.000025745132,0.0006435019,0.0072581964,0.000023058383,0.000039756407,0.0008390554,0.000032998123,0.015252213,0.97037417,0.000083487044,0.005401388,0.000026321723],"about_ca_topic_score_codex":0.000745398,"about_ca_topic_score_gemma":0.00077393494,"teacher_disagreement_score":0.0013667985,"about_ca_system_score_codex":0.00077097246,"about_ca_system_score_gemma":0.0007593988,"threshold_uncertainty_score":0.0055938363},"labels":[],"label_agreement":null},{"id":"W2018817901","doi":"10.1118/1.3567497","title":"Oblique incidence effects in direct x‐ray detectors: A first‐order approximation using a physics‐based analytical model","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Oak Ridge Institute for Science and Education; U.S. Department of Energy","keywords":"Detector; X-ray detector; Optics; Physics; Oblique case","score_opus":0.031141788533843,"score_gpt":0.27602319195031194,"score_spread":0.24488140341646894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018817901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018069593,0.00063292345,0.97248864,0.0002839182,0.00006270755,0.00009985646,0.00007241215,0.00046471303,0.00782516],"genre_scores_gemma":[0.6630107,0.003919732,0.30616337,0.0007252842,0.00010762812,0.00044330285,0.00029696492,0.00057332916,0.02475962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994036,0.00006392827,0.00002106338,0.00005880055,0.00039669216,0.00005589675],"domain_scores_gemma":[0.999191,0.000373005,0.00010211247,0.000113263646,0.00019817307,0.000022410713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076055684,0.0009722312,0.00066664605,0.00052332133,0.00032013372,0.000978213,0.0017527781,0.0013210967,0.0015199648],"category_scores_gemma":[0.0027032439,0.00074096833,0.0014462948,0.00059898867,0.00068440026,0.0012827672,0.0008452664,0.0012581258,0.0010937357],"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":[0.00018367555,0.00019373566,0.0028357066,0.00048165282,0.00009688321,0.0009771923,0.00081652304,0.79279625,0.08663706,0.06800811,0.0032925687,0.043680664],"study_design_scores_gemma":[0.0000079576375,0.000023486924,0.00023712312,0.0000151268005,0.000016537932,0.00016154147,0.000017387396,0.98812395,0.007630155,0.0022574773,0.0014951625,0.000014249969],"about_ca_topic_score_codex":0.00499754,"about_ca_topic_score_gemma":0.0033073544,"teacher_disagreement_score":0.00499754,"about_ca_system_score_codex":0.0014051247,"about_ca_system_score_gemma":0.0014013955,"threshold_uncertainty_score":0.010194898},"labels":[],"label_agreement":null},{"id":"W2018847051","doi":"10.1117/12.912368","title":"Model-based estimation of breast percent density in raw and processed full-field digital mammography images from image-acquisition physics and patient-image characteristics","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":"Connaught Fund","keywords":"Mammography; Digital mammography; Kappa; Categorical variable; Artificial intelligence; Breast cancer; Computer science; Nuclear medicine; Medicine; Mathematics; Pattern recognition (psychology); Statistics; Cancer; Internal medicine","score_opus":0.005858557740684431,"score_gpt":0.2120211413886611,"score_spread":0.20616258364797668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018847051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75868297,0.000506142,0.23640858,0.0001931391,0.000030433144,0.00011911262,0.00089152466,0.0019614499,0.0012067828],"genre_scores_gemma":[0.9595171,0.00008063315,0.03880003,0.00003953895,0.0000063122507,0.00004556838,0.0008883323,0.00008226146,0.0005402708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987508,0.00060960214,0.0000746825,0.00029957478,0.00020614345,0.000059209688],"domain_scores_gemma":[0.9948902,0.003593058,0.00037973427,0.00055431854,0.0005289404,0.000053626187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004195336,0.00047787413,0.00058860093,0.0009669759,0.00015558826,0.00080010423,0.0006064013,0.00053169235,0.001104835],"category_scores_gemma":[0.015373684,0.00031106183,0.0009539201,0.00045298575,0.00026929268,0.000561047,0.0006493608,0.000479699,0.00065759063],"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":[0.0017668649,0.0003681053,0.19541734,0.00035835736,0.0009826777,0.0003001939,0.00065794255,0.39277342,0.02458016,0.0007218319,0.0022314552,0.37984172],"study_design_scores_gemma":[0.000040575276,0.00028207025,0.077016436,0.00003408774,0.00012923148,0.00044631315,0.000142228,0.9141776,0.0059171934,0.0009926099,0.0007619086,0.000059769165],"about_ca_topic_score_codex":0.0069104685,"about_ca_topic_score_gemma":0.008557602,"teacher_disagreement_score":0.0069104685,"about_ca_system_score_codex":0.00063641684,"about_ca_system_score_gemma":0.0006520533,"threshold_uncertainty_score":0.022187293},"labels":[],"label_agreement":null},{"id":"W2020009124","doi":"10.1158/1055-9965.epi-07-0458","title":"Association between Breast Density and Subsequent Breast Cancer Following Treatment for Ductal Carcinoma <i>In situ</i>","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Cancer Institute","keywords":"Breast cancer; Ductal carcinoma; In situ; Oncology; Medicine; Internal medicine; Carcinoma in situ; Carcinoma; Cancer; Chemistry","score_opus":0.03593028315790305,"score_gpt":0.34719673905650167,"score_spread":0.31126645589859864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020009124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99943,0.00013535755,0.000045102075,0.000024977431,0.0000018798717,0.0000049121318,0.00015670664,0.0000020611058,0.00019898586],"genre_scores_gemma":[0.9997118,0.00005090925,0.000033107037,0.0000072398843,0.0000037424118,0.000003346295,0.00013844733,5.4367945e-7,0.000050771356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979204,0.00005396899,0.000016635537,0.00004280461,0.000046899448,0.000047527374],"domain_scores_gemma":[0.99861586,0.00028451002,0.0007504282,0.000071636096,0.00009997733,0.00017749595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040516647,0.00010059748,0.0001550177,0.00031671004,0.00015448927,0.00027085876,0.00020752584,0.0001855533,0.0011484879],"category_scores_gemma":[0.0019661787,0.00013366425,0.00024605612,0.00032798742,0.00015311732,0.00013998496,0.00020243051,0.00033273493,0.000080800884],"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":[0.00004608962,0.000012784876,0.9993876,0.000002089617,0.000016193459,0.000018940342,0.0000063922344,0.000017953915,0.000046957663,0.000003919998,0.000029888242,0.0004110447],"study_design_scores_gemma":[0.0000034554118,0.000046596397,0.9995617,0.0000017588231,0.000014191028,0.0001728704,0.000018673618,0.00008893057,0.000038482616,0.000007825968,0.000044479344,0.0000010226635],"about_ca_topic_score_codex":0.006018348,"about_ca_topic_score_gemma":0.0075822375,"teacher_disagreement_score":0.006018348,"about_ca_system_score_codex":0.00023739296,"about_ca_system_score_gemma":0.00024027581,"threshold_uncertainty_score":0.011966646},"labels":[],"label_agreement":null},{"id":"W2020674819","doi":"10.1097/gme.0000000000000433","title":"Physical activity, mammographic density, and age-related lobular involution among premenopausal and postmenopausal women","year":2015,"lang":"en","type":"article","venue":"Menopause The Journal of The North American Menopause Society","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Hôpital du Saint-Sacrement; Centre hospitalier universitaire de Québec","funders":"","keywords":"Medicine; Quartile; Involution (esoterism); Breast cancer; Breast density; Mammography; Gynecology; Physical examination; Physical activity; Physiology; Internal medicine; Obstetrics; Cancer; Physical therapy","score_opus":0.009735053017972539,"score_gpt":0.23435822665818998,"score_spread":0.22462317364021744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020674819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990281,0.00056956406,0.000028407117,0.000020835085,0.0000021167639,0.0000045154443,0.000116419644,0.0000018362565,0.00022812778],"genre_scores_gemma":[0.99965453,0.00011636473,0.000027169002,0.000010508222,0.000005843543,0.000003370794,0.00009002652,4.4875136e-7,0.000091800124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998524,0.00004625706,0.000012816746,0.000031282234,0.000030272973,0.00002687275],"domain_scores_gemma":[0.9995289,0.000099891215,0.00022269972,0.000022455652,0.000037498347,0.00008855958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003193071,0.00019906029,0.0001905341,0.0005274116,0.00020345568,0.00024601063,0.0001526108,0.00028713373,0.0011231718],"category_scores_gemma":[0.0012359115,0.00014244326,0.00018887073,0.00053097366,0.00015695722,0.00014836153,0.00021318736,0.00019088123,0.00017874534],"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":[0.000086491724,0.000019809322,0.9988613,0.000005659705,0.000031284922,0.00002339698,0.000022119664,0.000009825423,0.00015475607,0.000002390909,0.000014807152,0.0007680916],"study_design_scores_gemma":[0.0000020694984,0.00005412827,0.99977607,0.0000013085739,0.000010083589,0.00006205867,0.000022580405,0.00002795814,0.00001171809,0.0000031096167,0.000028599046,4.1585855e-7],"about_ca_topic_score_codex":0.0031711208,"about_ca_topic_score_gemma":0.005539353,"teacher_disagreement_score":0.0031711208,"about_ca_system_score_codex":0.000093171875,"about_ca_system_score_gemma":0.00009687114,"threshold_uncertainty_score":0.006305337},"labels":[],"label_agreement":null},{"id":"W2021132830","doi":"10.1117/12.430876","title":"Investigation of imaging performance of amorphous selenium flat-panel detectors for digital mammography","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":17,"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","funders":"U.S. Army","keywords":"Detective quantum efficiency; Optical transfer function; Detector; Optics; Flat panel detector; Physics; Digital radiography; Digital mammography; Spatial frequency; Nyquist frequency; Mammography; Noise power; Materials science; Image quality; Radiography; Computer science; Telecommunications; Power (physics); Bandwidth (computing)","score_opus":0.011488863945098803,"score_gpt":0.2101452744637549,"score_spread":0.1986564105186561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021132830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806866,0.0011768613,0.017030023,0.000056505232,0.000007855175,0.00002797879,0.0000718229,0.00015046523,0.00079194346],"genre_scores_gemma":[0.98636186,0.0007172147,0.012016259,0.00003080388,0.000005733653,0.000012332243,0.00006772967,0.00002381286,0.0007642932],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994956,0.000102883576,0.00001615356,0.00011206912,0.00022965725,0.000043544293],"domain_scores_gemma":[0.99861276,0.0007726422,0.00016461857,0.000079858,0.00033882327,0.000031247204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063562545,0.00041942517,0.00038683557,0.00031533648,0.00020763568,0.000453651,0.000533357,0.0007316254,0.00077813864],"category_scores_gemma":[0.0024014383,0.00028305664,0.0002573274,0.00036990936,0.00021387164,0.0006674105,0.0002253695,0.00019269544,0.00028172985],"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":[0.0005067266,0.000055564335,0.0060021477,0.00020035474,0.00005774372,0.00031525997,0.00009931464,0.005975196,0.966902,0.000190161,0.00011604836,0.019579392],"study_design_scores_gemma":[0.000014231037,0.0013106929,0.015611512,0.000016901904,0.00008142096,0.00066974893,0.000102455655,0.048520297,0.9326009,0.00008596889,0.00095356925,0.000032298434],"about_ca_topic_score_codex":0.001048777,"about_ca_topic_score_gemma":0.0012015004,"teacher_disagreement_score":0.001048777,"about_ca_system_score_codex":0.0004430594,"about_ca_system_score_gemma":0.00019897753,"threshold_uncertainty_score":0.0033615232},"labels":[],"label_agreement":null},{"id":"W2021145162","doi":"10.1118/1.4735742","title":"SU-F-BRCD-04: Efficient Scatter Distribution Estimation and Correction in CBCT Using Concurrent Monte Carlo Fitting","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Monte Carlo method; Distribution (mathematics); Computer science; Physics; Statistical physics; Nuclear medicine; Mathematics; Medicine; Statistics; Mathematical analysis","score_opus":0.016611748201898664,"score_gpt":0.28578307566346917,"score_spread":0.2691713274615705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021145162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03760895,0.00015734916,0.9558522,0.00005430234,0.0000138979585,0.00010364776,0.000101754675,0.0048169717,0.0012909019],"genre_scores_gemma":[0.23076904,0.00010642454,0.7663909,0.000045215547,0.000009904368,0.00020946412,0.00029361743,0.0008315139,0.0013438435],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990865,0.00017094577,0.000052323892,0.00011000226,0.0005347624,0.00004554371],"domain_scores_gemma":[0.99850357,0.00056810054,0.00016205486,0.00034087073,0.00035801867,0.00006747866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019237467,0.00063437514,0.00058635784,0.00086761225,0.0003512768,0.0011031064,0.0018417833,0.00065807276,0.0024199616],"category_scores_gemma":[0.0054060486,0.000683252,0.00046897185,0.0007882892,0.00036139964,0.0007614869,0.0008748048,0.0008222849,0.0009535617],"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":[0.0015752652,0.00041558954,0.016381942,0.00024079604,0.00020758987,0.00028495575,0.00027383835,0.39748296,0.090118535,0.009326022,0.003999313,0.47969314],"study_design_scores_gemma":[0.000029589964,0.000058852504,0.0011445446,0.0000075694948,0.000011811477,0.00015432575,0.000006596743,0.9698977,0.026101781,0.00069532974,0.001869439,0.000022448387],"about_ca_topic_score_codex":0.005304604,"about_ca_topic_score_gemma":0.006612072,"teacher_disagreement_score":0.005304604,"about_ca_system_score_codex":0.0011283562,"about_ca_system_score_gemma":0.001584808,"threshold_uncertainty_score":0.010547459},"labels":[],"label_agreement":null},{"id":"W2022727289","doi":"10.1258/136218006779160436","title":"Mammographic density: a hormonally responsive risk factor for breast cancer","year":2006,"lang":"en","type":"review","venue":"The Journal of the British Menopause Society","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":75,"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 Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Risk factors for breast cancer; MAMMOGRAPHIC DENSITY; Mammography; Risk factor; Oncology; Breast tissue; Internal medicine; Population; Hormone; Cancer; Physiology; Gynecology; Environmental health","score_opus":0.018718604529472035,"score_gpt":0.2946612032628792,"score_spread":0.27594259873340715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022727289","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6524117,0.15301858,0.0053855204,0.014687852,0.0011318033,0.00040129852,0.008722767,0.00034637903,0.16389407],"genre_scores_gemma":[0.9561041,0.019612769,0.0024804403,0.0007481493,0.0004919928,0.00009352187,0.0014307699,0.000019313893,0.019018896],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995951,0.00012073962,0.000033361877,0.000032261825,0.000182649,0.000035913316],"domain_scores_gemma":[0.99955374,0.00013136565,0.00017350192,0.00001655716,0.00006585421,0.00005897844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026648625,0.00020439968,0.0002660245,0.0008212717,0.0002217705,0.00036699604,0.00026197117,0.0004030729,0.008447304],"category_scores_gemma":[0.0014313093,0.000072782954,0.00020907019,0.0012490614,0.00030914397,0.00021814158,0.00036237083,0.00043653848,0.0011355139],"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":[0.00034180784,0.000201433,0.85553044,0.0009333159,0.00016157942,0.0016976479,0.0005040875,0.000260751,0.003459958,0.001899598,0.014090226,0.120919056],"study_design_scores_gemma":[0.0000062794825,0.00008168161,0.9638474,0.00018033898,0.00004618657,0.0049504316,0.00016647053,0.00012832526,0.00019965418,0.0003820927,0.029999902,0.000011181884],"about_ca_topic_score_codex":0.0066460157,"about_ca_topic_score_gemma":0.006201945,"teacher_disagreement_score":0.008447304,"about_ca_system_score_codex":0.00028116928,"about_ca_system_score_gemma":0.00029204474,"threshold_uncertainty_score":0.028259099},"labels":[],"label_agreement":null},{"id":"W2023777890","doi":"10.1016/j.acra.2005.12.008","title":"Impact of PACS Deployment Strategy on Dictation Turnaround Time of Chest Radiographs","year":2006,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; HEC Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Dictation; Turnaround time; Medicine; Productivity; Radiology information systems; Medical physics; Radiology; Operations management; Computer science; Speech recognition","score_opus":0.012565361510011704,"score_gpt":0.29062776432273213,"score_spread":0.27806240281272043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023777890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945775,0.00048960367,0.0009159239,0.0007430519,0.00011091609,0.000032463588,0.00017548946,0.00013633457,0.0028186908],"genre_scores_gemma":[0.9979723,0.00011143349,0.0007564707,0.0001621111,0.00005799404,0.000016199356,0.00021071131,0.00005419664,0.0006585878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963676,0.0014007456,0.0004449039,0.00039636705,0.0007206309,0.0006697507],"domain_scores_gemma":[0.9079267,0.07430902,0.006140781,0.0017963304,0.007199586,0.002627602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004083997,0.0006230711,0.00048232923,0.0013249359,0.00051136076,0.0018073234,0.00058833085,0.0010265058,0.0048872097],"category_scores_gemma":[0.060306735,0.0004474263,0.00040477212,0.0012633379,0.00029960694,0.00132386,0.00047056595,0.0007987158,0.0012460242],"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":[0.029805867,0.0036979648,0.6308236,0.00039963183,0.0004479766,0.0026175987,0.0016787311,0.01927424,0.04350579,0.00083827204,0.009769306,0.25714096],"study_design_scores_gemma":[0.00066358404,0.00855085,0.9030375,0.00010936979,0.00094667065,0.0042443103,0.00286609,0.042924553,0.03206131,0.00040048332,0.0040683676,0.00012692214],"about_ca_topic_score_codex":0.0044585043,"about_ca_topic_score_gemma":0.003935544,"teacher_disagreement_score":0.0048872097,"about_ca_system_score_codex":0.0011777417,"about_ca_system_score_gemma":0.0017548909,"threshold_uncertainty_score":0.021598458},"labels":[],"label_agreement":null},{"id":"W2023889451","doi":"10.1117/12.384495","title":"Estimation of volumetric breast density for breast cancer risk prediction","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Mammography; Breast cancer; Breast density; Calibration; Offset (computer science); Density estimation; Computer science; Mathematics; Medicine; Nuclear medicine; Statistics; Cancer","score_opus":0.006630174972104578,"score_gpt":0.2241157829503395,"score_spread":0.2174856079782349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023889451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11108927,0.024156142,0.8504595,0.00036509876,0.00020618926,0.000753816,0.0020466452,0.003076317,0.007846983],"genre_scores_gemma":[0.59066594,0.009148124,0.394196,0.0001960969,0.00017051073,0.00042832352,0.0019429578,0.00024183093,0.003010144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991743,0.00037788966,0.000032455577,0.00008062441,0.00030520745,0.00002962182],"domain_scores_gemma":[0.99818724,0.0011581277,0.00016490897,0.00014131222,0.00030616383,0.00004219928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018075851,0.0007744557,0.0008357562,0.0024057797,0.00014519622,0.00059390627,0.0008356777,0.00046533148,0.002134369],"category_scores_gemma":[0.00693251,0.00046410906,0.00053646654,0.0015281484,0.00021880753,0.0003556135,0.0006253625,0.00041937476,0.0010689171],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089388195,0.00026280756,0.050224267,0.00097076205,0.00031216792,0.00023226709,0.00013065721,0.04724153,0.06800288,0.0046320087,0.0040257596,0.823071],"study_design_scores_gemma":[0.00014897634,0.0017516211,0.14506687,0.00060615025,0.0009092844,0.0041817026,0.00016370499,0.6645477,0.12811191,0.01659093,0.037562214,0.0003589784],"about_ca_topic_score_codex":0.0014044718,"about_ca_topic_score_gemma":0.0010753091,"teacher_disagreement_score":0.0024057797,"about_ca_system_score_codex":0.00044663606,"about_ca_system_score_gemma":0.0003449977,"threshold_uncertainty_score":0.009559512},"labels":[],"label_agreement":null},{"id":"W2024847974","doi":"10.1186/bcr3210","title":"Dual-energy contrast-enhanced digital mammography: initial clinical results of a multireader, multicase study","year":2012,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Digital mammography; Mammography; Radiology; Breast cancer; Concordance; Nuclear medicine; Cancer; Internal medicine","score_opus":0.11241362357248202,"score_gpt":0.46484733826218183,"score_spread":0.3524337146896998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024847974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914396,0.00021471037,0.00017653832,0.000017280086,0.000004433265,0.00003173775,0.00007384641,0.000008076014,0.00032949724],"genre_scores_gemma":[0.9992835,0.00005699438,0.00025444495,0.000027509395,0.000018798535,0.000018159086,0.0001746726,0.000007090843,0.00015885418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828917,0.0005953355,0.00020173145,0.00040959462,0.0003932159,0.00011102254],"domain_scores_gemma":[0.9942169,0.0021205982,0.0010523644,0.0007148912,0.0013084033,0.00058672245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029263676,0.0006530505,0.00050947326,0.0011542382,0.0004439089,0.00065955054,0.00037903155,0.0006612855,0.0022430152],"category_scores_gemma":[0.010163199,0.00043471524,0.00041771916,0.00053893845,0.0004240648,0.0009947006,0.0006181867,0.00037166738,0.001582528],"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":[0.0022689023,0.00054329674,0.9839914,0.000041875774,0.00011914586,0.0007907976,0.0004916506,0.00006544538,0.004320172,0.000010146413,0.0001608163,0.0071965074],"study_design_scores_gemma":[0.00020104641,0.0036814034,0.9872207,0.000014010793,0.00011727659,0.005129339,0.0003055615,0.00048699675,0.0020681468,0.000025018182,0.00072086253,0.000029711187],"about_ca_topic_score_codex":0.0005148587,"about_ca_topic_score_gemma":0.0005319237,"teacher_disagreement_score":0.0029263676,"about_ca_system_score_codex":0.00031643177,"about_ca_system_score_gemma":0.00017864208,"threshold_uncertainty_score":0.015476286},"labels":[],"label_agreement":null},{"id":"W2025542172","doi":"10.1136/bmj.331.7518.653","title":"Digital mammography is more accurate only for certain groups of women","year":2005,"lang":"en","type":"article","venue":"BMJ","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mammography; Asymptomatic; Medicine; Breast cancer; Digital mammography; Mammography screening; Family medicine; Gynecology; Medical physics; Obstetrics; Cancer; Surgery; Internal medicine","score_opus":0.013714974252432125,"score_gpt":0.2900122078044451,"score_spread":0.27629723355201297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025542172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529202,0.01806941,0.0010012384,0.0069656973,0.00026508525,0.000072672156,0.0010502692,0.000047743542,0.019607661],"genre_scores_gemma":[0.99313253,0.0023969794,0.0006386006,0.0018064581,0.00037167151,0.000013897287,0.0005076927,0.00001033008,0.0011219998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958067,0.0015916821,0.00049231184,0.0006164895,0.0011322072,0.0003606079],"domain_scores_gemma":[0.97794706,0.012970948,0.0059118834,0.0015925707,0.0011534338,0.00042410573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004604558,0.00039561535,0.00096264575,0.0023785061,0.0004657493,0.0019040357,0.0004853644,0.001482863,0.004106482],"category_scores_gemma":[0.028402787,0.00028950733,0.000756186,0.0016167521,0.0011232295,0.0022049723,0.00090424117,0.001200508,0.0012852332],"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":[0.0026026529,0.00024140674,0.8763134,0.00057195907,0.00085510575,0.00042594795,0.00063447235,0.00031298446,0.0027680746,0.0012905617,0.0044868775,0.10949658],"study_design_scores_gemma":[0.0003009038,0.0010900276,0.9687629,0.00037640033,0.001010006,0.0037416155,0.00060271914,0.0006805591,0.0033340831,0.0031401878,0.016913157,0.000047463465],"about_ca_topic_score_codex":0.0013938334,"about_ca_topic_score_gemma":0.0020235684,"teacher_disagreement_score":0.004604558,"about_ca_system_score_codex":0.00047791103,"about_ca_system_score_gemma":0.00024396261,"threshold_uncertainty_score":0.024351537},"labels":[],"label_agreement":null},{"id":"W2025588037","doi":"10.1186/bcr2102","title":"Mammographic density. Measurement of mammographic density","year":2008,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; Health Sciences Centre","funders":"National Cancer Institute","keywords":"MAMMOGRAPHIC DENSITY; Breast density; Mammography; Breast cancer; Non-ionizing radiation; Medical physics; Medicine; Measure (data warehouse); Modalities; Ultrasound; Radiology; Cancer; Computer science; Data mining; Optics; Internal medicine; Physics","score_opus":0.14480070836666092,"score_gpt":0.4089049189037251,"score_spread":0.2641042105370642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025588037","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021032142,0.9911857,0.00052320876,0.00069629395,0.00043126885,0.000030163936,0.00016570084,0.000043445638,0.0067139026],"genre_scores_gemma":[0.004360469,0.98704255,0.0016314049,0.0008108205,0.0010214013,0.00005651639,0.00036144588,0.000012101657,0.004703294],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988355,0.00024038953,0.00011134272,0.00015283658,0.00060586125,0.000054063483],"domain_scores_gemma":[0.9988507,0.00043111265,0.0002582195,0.000046807545,0.0003481505,0.00006490229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009897368,0.0014059036,0.0020692735,0.0070661036,0.0003033425,0.0014559943,0.0016126758,0.0018319747,0.0074198027],"category_scores_gemma":[0.0025687255,0.0003994832,0.00055522396,0.0063045584,0.0014064488,0.0014897251,0.00096377457,0.0014454646,0.009461055],"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":[0.00007448971,0.000060768965,0.0017892405,0.010606299,0.000077676224,0.0003626164,0.00010017695,0.0001885905,0.0014136251,0.0053494726,0.07033459,0.90964246],"study_design_scores_gemma":[0.000022846483,0.00009969384,0.008456365,0.0053312597,0.000094461444,0.010003818,0.00015077056,0.00013047508,0.00090590277,0.004443045,0.9703171,0.000044321005],"about_ca_topic_score_codex":0.002788218,"about_ca_topic_score_gemma":0.0027830456,"teacher_disagreement_score":0.0074198027,"about_ca_system_score_codex":0.0009966932,"about_ca_system_score_gemma":0.00076818536,"threshold_uncertainty_score":0.024821699},"labels":[],"label_agreement":null},{"id":"W2025751689","doi":"10.1118/1.2965972","title":"Sci‐Fri AM: YIS‐10: Development of a flat panel detector with avalanche gain for low‐dose x‐ray imaging","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Fluoroscopy; Flat panel detector; Image intensifier; Detector; Flat panel; X-ray detector; Digital radiography; Optics; Detective quantum efficiency; Dark current; Scintillator; Avalanche photodiode; Image sensor; Particle detector; Radiography; Medical imaging; Noise (video); Medical physics; Physics; Image quality; Computer science; Computer vision; Artificial intelligence","score_opus":0.02492118073508125,"score_gpt":0.25260554897922854,"score_spread":0.22768436824414728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025751689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7155697,0.005641815,0.14180441,0.0019412374,0.000984207,0.0011000801,0.0059288954,0.00815449,0.11887523],"genre_scores_gemma":[0.7062795,0.003897095,0.09846623,0.0006477714,0.0001733995,0.0004944391,0.0064985394,0.0012492076,0.18229386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998609,0.000008452023,0.000004651671,0.000029854238,0.00007363734,0.000022435663],"domain_scores_gemma":[0.99984515,0.000015948483,0.000020296931,0.000016150641,0.000067010966,0.00003546897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004029659,0.00039431843,0.00019023874,0.00043382187,0.00019738986,0.00066537503,0.0007340963,0.00074128265,0.012466261],"category_scores_gemma":[0.0002587067,0.00025888562,0.00023336604,0.0002609882,0.0002692973,0.0004625903,0.00036796855,0.000516872,0.006001479],"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":[0.00009511546,0.00005798244,0.0003153739,0.00012863574,0.000010638765,0.00014971412,0.00003379645,0.00036303155,0.97912276,0.0007505626,0.0031560862,0.01581628],"study_design_scores_gemma":[0.000042265885,0.000465184,0.003827012,0.000021056627,0.000015570815,0.00032139826,0.000026378757,0.0057290113,0.9463532,0.00012209274,0.04304883,0.000027926695],"about_ca_topic_score_codex":0.0010105531,"about_ca_topic_score_gemma":0.001293538,"teacher_disagreement_score":0.012466261,"about_ca_system_score_codex":0.0005267446,"about_ca_system_score_gemma":0.0006656684,"threshold_uncertainty_score":0.04170376},"labels":[],"label_agreement":null},{"id":"W2026369394","doi":"10.1118/1.2179150","title":"Method for the evaluation of a average glandular dose in mammography","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"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":"McMaster University","keywords":"Mammography; Dosimetry; Software; Nuclear medicine; Medical physics; Photon; Computer science; Digital mammography; Physics; Medicine; Optics; Breast cancer","score_opus":0.025668171367367702,"score_gpt":0.3367333263082028,"score_spread":0.3110651549408351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026369394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020930993,0.00024912565,0.9943768,0.000033278902,0.000042343137,0.00010263094,0.00021376931,0.0016653127,0.0012236787],"genre_scores_gemma":[0.033977903,0.00039654874,0.96106964,0.00007757745,0.000018299193,0.00037649876,0.0003453769,0.00046456445,0.0032734843],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902177,0.00021979785,0.000039783532,0.00016012107,0.0005310251,0.000027507438],"domain_scores_gemma":[0.9991429,0.0004051154,0.00006893515,0.00017524032,0.00018623091,0.000021544742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008614287,0.0006099516,0.0005730491,0.0014607476,0.0003082155,0.00072499603,0.0011790099,0.0007495375,0.006297214],"category_scores_gemma":[0.0035357703,0.00044746939,0.000581403,0.0010862553,0.00037795395,0.00059934816,0.001040042,0.0009971908,0.0020038385],"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":[0.0003605191,0.00012531492,0.0037827888,0.001100247,0.00019873276,0.00026981233,0.00036695192,0.03477152,0.18271321,0.051231973,0.012343735,0.7127352],"study_design_scores_gemma":[0.00010769193,0.00044045458,0.011410242,0.00026708032,0.00018332191,0.0031466568,0.00015666499,0.6324656,0.14578979,0.023070525,0.18266654,0.00029553368],"about_ca_topic_score_codex":0.0013403549,"about_ca_topic_score_gemma":0.0018149707,"teacher_disagreement_score":0.006297214,"about_ca_system_score_codex":0.00050269766,"about_ca_system_score_gemma":0.0009825933,"threshold_uncertainty_score":0.021066248},"labels":[],"label_agreement":null},{"id":"W2027889685","doi":"10.1117/12.534791","title":"Can a Fourier-based cascaded-systems analysis describe noise in complex shift-variant spatially sampled detectors?","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Cyclostationary process; Detector; Monte Carlo method; Noise (video); Fourier transform; Optics; Computer science; Physics; Algorithm; Telecommunications; Artificial intelligence; Mathematics; Image (mathematics)","score_opus":0.016147120747166337,"score_gpt":0.2345127233948442,"score_spread":0.21836560264767785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027889685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025656112,0.00023373433,0.970941,0.00026130758,0.00005049598,0.000032766457,0.000041501462,0.00018095503,0.002602077],"genre_scores_gemma":[0.71426064,0.0010854491,0.27659085,0.00046095523,0.00014657491,0.00016503986,0.00013663509,0.0002775566,0.00687637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996289,0.00008573319,0.000016578379,0.00006442348,0.0001562194,0.000048094073],"domain_scores_gemma":[0.9986958,0.00074127625,0.00018734134,0.00017436773,0.00016815269,0.000033114735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015835192,0.0006745935,0.0006244015,0.0007435583,0.00026843318,0.0007619634,0.001539778,0.0012667828,0.0012884376],"category_scores_gemma":[0.003620075,0.0003913396,0.00096994184,0.00044649988,0.0011520677,0.0022314196,0.00041348714,0.00096166035,0.00045683837],"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":[0.00008477665,0.00011295984,0.00228685,0.00013045003,0.00008949333,0.00028613146,0.00019772143,0.69377977,0.026070556,0.24874976,0.0012589694,0.026952537],"study_design_scores_gemma":[0.0000017909499,0.000009632145,0.00016388964,0.0000033065687,0.0000032514176,0.000028082499,0.0000038038818,0.9880876,0.0008218983,0.010562349,0.00030778025,0.000006617147],"about_ca_topic_score_codex":0.0020445357,"about_ca_topic_score_gemma":0.0019860675,"teacher_disagreement_score":0.0020445357,"about_ca_system_score_codex":0.00085999136,"about_ca_system_score_gemma":0.0005568338,"threshold_uncertainty_score":0.008374512},"labels":[],"label_agreement":null},{"id":"W2028168305","doi":"10.1177/153303460500400105","title":"Geomatics for Precise 3D Breast Imaging","year":2005,"lang":"en","type":"article","venue":"Technology in Cancer Research & Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mammography; Imaging phantom; Breast cancer; Medicine; Microcalcification; Artificial intelligence; Breast imaging; Orientation (vector space); Photogrammetry; Nuclear medicine; Computer science; Computer vision; Radiology; Cancer; Mathematics; Geometry","score_opus":0.05448889279779843,"score_gpt":0.4266597052865773,"score_spread":0.37217081248877887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028168305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015249638,0.0012070707,0.9787532,0.00065879,0.00022817843,0.000066769986,0.00049557455,0.0015591886,0.01550634],"genre_scores_gemma":[0.057549845,0.0028301938,0.92340237,0.00034050457,0.00017112764,0.00020587596,0.0009428094,0.0004803817,0.014076941],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995511,0.000089646855,0.0000269892,0.000054566237,0.00025103675,0.00002653871],"domain_scores_gemma":[0.99953985,0.00011209098,0.000033235934,0.00014286782,0.00014917518,0.00002277414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054184475,0.000557329,0.00040942983,0.0014190659,0.00056928274,0.0019758833,0.0010097071,0.0007862737,0.014575501],"category_scores_gemma":[0.001876917,0.0003873884,0.00073471817,0.0013904977,0.001392492,0.0009401087,0.0016079198,0.0011770889,0.005404675],"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":[0.000045907964,0.000029820252,0.0010884675,0.0003722418,0.00004559834,0.00034448857,0.00042910644,0.041862793,0.022109425,0.52370185,0.028819336,0.38115093],"study_design_scores_gemma":[0.000020244857,0.000035152203,0.002205557,0.00019643924,0.000029903185,0.00082135404,0.00028360923,0.25841683,0.008418216,0.15545115,0.5740479,0.00007364602],"about_ca_topic_score_codex":0.01265984,"about_ca_topic_score_gemma":0.016385678,"teacher_disagreement_score":0.014575501,"about_ca_system_score_codex":0.0010028492,"about_ca_system_score_gemma":0.0012560814,"threshold_uncertainty_score":0.048759937},"labels":[],"label_agreement":null},{"id":"W2030016665","doi":"10.1118/1.4794495","title":"Cascaded‐systems analyses and the detective quantum efficiency of single‐Z x‐ray detectors including photoelectric, coherent and incoherent interactions","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministry of Education, Science and Technology","keywords":"Detective quantum efficiency; Photoelectric effect; Detector; Physics; Optics; X-ray detector; Quantum; X-ray; Quantum mechanics; Computer science; Image quality","score_opus":0.0378131730972084,"score_gpt":0.30938727356771367,"score_spread":0.2715741004705053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030016665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3061078,0.0004887986,0.68276393,0.0002006609,0.000033958186,0.0001290843,0.00011635089,0.00037560178,0.009783732],"genre_scores_gemma":[0.95304805,0.0002607908,0.043655545,0.000036992653,0.000017056207,0.00009377346,0.00007150304,0.000055226337,0.0027610552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967265,0.00007674505,0.000010743484,0.000058000845,0.00015217534,0.000029711304],"domain_scores_gemma":[0.999108,0.0005704682,0.000095521005,0.00006327743,0.00014741979,0.00001525888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000748997,0.00068314583,0.00028164365,0.00068081607,0.00045344885,0.00060034636,0.0007807442,0.0004112508,0.002004777],"category_scores_gemma":[0.0017226672,0.00036180022,0.00085273484,0.00039578963,0.000668102,0.0010533219,0.00042518158,0.00055573863,0.00025546027],"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":[0.00018585772,0.00015076961,0.0064259935,0.00020764182,0.00012784393,0.0002777455,0.00018431115,0.81372297,0.06280132,0.08686757,0.0007474971,0.028300494],"study_design_scores_gemma":[0.000006423747,0.000038433653,0.0009652305,0.0000061546643,0.000017345772,0.000036206347,0.0000098069895,0.9743939,0.015546152,0.008286878,0.00068340835,0.000009952787],"about_ca_topic_score_codex":0.0033600545,"about_ca_topic_score_gemma":0.0028406288,"teacher_disagreement_score":0.0033600545,"about_ca_system_score_codex":0.0015880337,"about_ca_system_score_gemma":0.000896762,"threshold_uncertainty_score":0.011522055},"labels":[],"label_agreement":null},{"id":"W2031628593","doi":"10.1118/1.4801905","title":"Anatomical noise in contrast‐enhanced digital mammography. Part I. Single‐energy imaging","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Ontario Tech University; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Digital mammography; Medical imaging; Contrast (vision); Noise (video); Medical physics; Energy (signal processing); Contrast-to-noise ratio; Physics; Computer science; Medicine; Optics; Radiology; Computer vision; Image quality; Breast cancer; Cancer","score_opus":0.006298797560840437,"score_gpt":0.21806819298589944,"score_spread":0.21176939542505901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031628593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.919431,0.011617065,0.06708938,0.0001457476,0.000054942313,0.00010554786,0.00008329115,0.00016842516,0.0013046465],"genre_scores_gemma":[0.980227,0.0022893427,0.016463295,0.00008668457,0.00006420728,0.000046802703,0.00017948996,0.000059563517,0.00058371946],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998558,0.0004402563,0.0001016927,0.00019201705,0.00065872015,0.000049342892],"domain_scores_gemma":[0.9929126,0.005257406,0.0008374427,0.00032499607,0.00057744986,0.00009005771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020361005,0.0005836575,0.00043730417,0.0016739061,0.00024213654,0.0008533152,0.0004935457,0.0008489532,0.0006051671],"category_scores_gemma":[0.013759982,0.00037335846,0.0003512197,0.00082970504,0.000862462,0.00071845757,0.00058214605,0.0002548788,0.00030198714],"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":[0.0040247906,0.00039636527,0.23478107,0.001975439,0.00034415274,0.00480364,0.0011756123,0.013829324,0.29887256,0.0015816388,0.00080602826,0.43740937],"study_design_scores_gemma":[0.00010141683,0.0044649844,0.64058405,0.0003934406,0.00079083117,0.05375034,0.0005974761,0.0576472,0.22761537,0.0029913248,0.010900608,0.00016300235],"about_ca_topic_score_codex":0.0006202659,"about_ca_topic_score_gemma":0.00062528497,"teacher_disagreement_score":0.0020361005,"about_ca_system_score_codex":0.00039515118,"about_ca_system_score_gemma":0.00015464741,"threshold_uncertainty_score":0.010768056},"labels":[],"label_agreement":null},{"id":"W2032758948","doi":"10.1149/05401.0305ecst","title":"(Invited) Flat-Panel X-ray Image Sensor Using Thin Film Transistors and Field Emitter Arrays","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Digital Radiography and Breast Imaging","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":"Lakehead University","funders":"National Institutes of Health; Basic Energy Sciences; National Institute for Health and Care Research; U.S. Department of Energy","keywords":"Image intensifier; Avalanche photodiode; X-ray detector; Active matrix; Fluoroscopy; Optoelectronics; Image sensor; Dynamic range; Common emitter; Optics; Detective quantum efficiency; Transistor; Materials science; Noise (video); Thin-film transistor; Wide dynamic range; Detector; Physics; Electrical engineering; Image quality; Computer science; Voltage; Nanotechnology; Engineering; Layer (electronics)","score_opus":0.017320855868302832,"score_gpt":0.23409737666379146,"score_spread":0.21677652079548862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032758948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53371656,0.0036673995,0.39485836,0.0010451257,0.0008996079,0.00020116629,0.0021331704,0.017328205,0.046150412],"genre_scores_gemma":[0.85826755,0.0009094174,0.10568794,0.00040379752,0.00012635617,0.00008882715,0.00053472957,0.00014667961,0.033834778],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986184,0.000010417435,0.0000049969676,0.000043895365,0.000060159535,0.000018646013],"domain_scores_gemma":[0.99986327,0.000024858598,0.000020369145,0.000014481167,0.000063102205,0.000013940382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107454136,0.00035311902,0.00022075238,0.00029270933,0.00015414819,0.0005141858,0.0006577822,0.0006888975,0.0036751062],"category_scores_gemma":[0.00019465419,0.00021285974,0.00021353096,0.00025413968,0.00014579846,0.00055283104,0.00024607257,0.00029130452,0.001977856],"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":[0.00014496507,0.000017239401,0.00090146984,0.00014436162,0.000018877488,0.0003718746,0.000051409603,0.000513251,0.9464183,0.0008251142,0.0037709475,0.04682224],"study_design_scores_gemma":[0.000026392894,0.00034841298,0.0055915127,0.000016392536,0.000040493407,0.0015475226,0.000050367566,0.01475507,0.9541757,0.0003875997,0.02301694,0.000043611995],"about_ca_topic_score_codex":0.0008103889,"about_ca_topic_score_gemma":0.0010697198,"teacher_disagreement_score":0.0036751062,"about_ca_system_score_codex":0.00022884768,"about_ca_system_score_gemma":0.00012527849,"threshold_uncertainty_score":0.012294471},"labels":[],"label_agreement":null},{"id":"W2032931935","doi":"10.1007/s10549-013-2534-x","title":"Association between sex hormones, glucose homeostasis, adipokines, and inflammatory markers and mammographic density among postmenopausal women","year":2013,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; Alberta Cancer Foundation; University of British Columbia; Sunnybrook Hospital; University of British Columbia, Okanagan Campus; Ontario Institute for Cancer Research; University of Alberta; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Internal medicine; Endocrinology; Adiponectin; Estrone; Leptin; Adipokine; Body mass index; Breast cancer; Adipose tissue; Medicine; Waist; Sex hormone-binding globulin; Hormone; Obesity; Cancer; Insulin resistance","score_opus":0.013551181937667264,"score_gpt":0.2707518839931218,"score_spread":0.25720070205545453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032931935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869543,0.00069008063,0.000028078273,0.000059868788,0.0000068724303,0.0000027643132,0.00010545055,0.0000015427212,0.00040986098],"genre_scores_gemma":[0.9995105,0.00018037813,0.000023598852,0.000027747672,0.000010852576,0.000003141512,0.000059298713,5.7410676e-7,0.00018383072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998753,0.00003578292,0.00001414286,0.000022722894,0.000025395195,0.000026598915],"domain_scores_gemma":[0.99960166,0.0001285405,0.00011710021,0.000028800328,0.000037480837,0.00008632723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002675267,0.00014667514,0.00025742847,0.00032220356,0.00026611556,0.00035695755,0.00014561438,0.00034247412,0.0012083931],"category_scores_gemma":[0.0012696981,0.00023575943,0.00025526402,0.0005272238,0.0001770984,0.00018497513,0.00018596245,0.0004411009,0.00011465884],"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":[0.0003193171,0.00003558591,0.9980117,0.0000064010146,0.000060958017,0.000055740547,0.000045201585,0.00001179786,0.00035741972,0.000011286244,0.00004036463,0.0010441092],"study_design_scores_gemma":[0.000011562382,0.000096078875,0.99934834,0.0000028276422,0.00005398266,0.00012155961,0.00013145832,0.00007355349,0.000037605656,0.000020645264,0.000100702186,0.0000016907858],"about_ca_topic_score_codex":0.005326743,"about_ca_topic_score_gemma":0.006217346,"teacher_disagreement_score":0.005326743,"about_ca_system_score_codex":0.00016207223,"about_ca_system_score_gemma":0.0001888502,"threshold_uncertainty_score":0.010591507},"labels":[],"label_agreement":null},{"id":"W2033887084","doi":"10.1118/1.4819943","title":"Characterization of a constrained paired‐view technique in iterative reconstruction for breast tomosynthesis","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society Research Institute","keywords":"Iterative reconstruction; Tomosynthesis; Image quality; Imaging phantom; Artificial intelligence; Computer science; Projection (relational algebra); Computer vision; Noise (video); Medical imaging; Mathematics; Mammography; Algorithm; Image (mathematics); Breast cancer; Nuclear medicine; Medicine","score_opus":0.010379189274917405,"score_gpt":0.23814432677386718,"score_spread":0.22776513749894978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033887084","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08286639,0.0005391092,0.91539615,0.000058460766,0.000016575576,0.000099147386,0.0000401803,0.00017727958,0.0008067863],"genre_scores_gemma":[0.23740046,0.00031074855,0.76143223,0.00003435151,0.000012561922,0.00009318759,0.00012370288,0.00007650322,0.0005163231],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992551,0.00029945117,0.00002717657,0.000084691135,0.00031089273,0.00002266849],"domain_scores_gemma":[0.9980059,0.0009938822,0.00021856214,0.00030129604,0.00041792693,0.000062451814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016012638,0.0004975994,0.00027428698,0.00037678782,0.00015199621,0.0005247871,0.0006773989,0.0004888454,0.0013947763],"category_scores_gemma":[0.005262926,0.00029802183,0.0003069563,0.00045182608,0.00034886244,0.00047067433,0.0005227505,0.00040314937,0.0002983422],"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":[0.001017209,0.00020997491,0.0060767815,0.0004799043,0.00012867557,0.00026943782,0.00019693062,0.05514501,0.60815626,0.00606173,0.00057572615,0.32168233],"study_design_scores_gemma":[0.00008370465,0.0013715366,0.010364813,0.00006987045,0.00013936582,0.0024135616,0.000050267372,0.54051733,0.43799338,0.0014657303,0.005431246,0.00009924553],"about_ca_topic_score_codex":0.0007305845,"about_ca_topic_score_gemma":0.0012854763,"teacher_disagreement_score":0.0016012638,"about_ca_system_score_codex":0.00032739414,"about_ca_system_score_gemma":0.00063695415,"threshold_uncertainty_score":0.0084683895},"labels":[],"label_agreement":null},{"id":"W2034058397","doi":"10.1117/12.708531","title":"Evaluation of scatter effects on image quality for breast tomosynthesis","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Tomosynthesis; Image quality; Optics; Mammography; Voxel; Breast imaging; Iterative reconstruction; Projection (relational algebra); Materials science; Monte Carlo method; Physics; Computer science; Artificial intelligence; Medicine; Mathematics; Breast cancer; Image (mathematics)","score_opus":0.016439256962872916,"score_gpt":0.2822636760433818,"score_spread":0.2658244190805089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034058397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94548494,0.0009817231,0.052422505,0.000053507738,0.000017869,0.00006203567,0.00015368436,0.00025536708,0.0005683208],"genre_scores_gemma":[0.97023284,0.00041438302,0.028191552,0.000044286568,0.000012028738,0.000034055578,0.00030668674,0.00017766077,0.0005864886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990627,0.00028548745,0.00007050538,0.00009428493,0.00042091313,0.00006612071],"domain_scores_gemma":[0.99281067,0.004353106,0.0008124467,0.00043295664,0.0014437919,0.0001470338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021804774,0.00041978978,0.00034503257,0.0006771739,0.00017793539,0.00042673555,0.00024460987,0.00039518168,0.0011693888],"category_scores_gemma":[0.008166477,0.0002843951,0.00041966612,0.00042191386,0.00034606253,0.0003396874,0.00048007225,0.00027976892,0.0001545354],"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":[0.002276575,0.00011037122,0.0213119,0.00026526317,0.00017057745,0.0003000796,0.00029198828,0.015296049,0.9213371,0.00019970481,0.000103069964,0.038337238],"study_design_scores_gemma":[0.000069449445,0.0022417712,0.120676465,0.00005170898,0.00035663482,0.0015398244,0.00012342907,0.07395314,0.7995551,0.0002366025,0.001113474,0.00008225889],"about_ca_topic_score_codex":0.0009157333,"about_ca_topic_score_gemma":0.0008419986,"teacher_disagreement_score":0.0021804774,"about_ca_system_score_codex":0.00030637364,"about_ca_system_score_gemma":0.00019170438,"threshold_uncertainty_score":0.011531591},"labels":[],"label_agreement":null},{"id":"W2034643138","doi":"10.1118/1.2837288","title":"The x‐ray light valve: A potentially low‐cost, digital radiographic imaging system‐concept and implementation considerations","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; University of Toronto","keywords":"Digital radiography; Optics; Radiography; Charge-coupled device; Computed radiography; Digital imaging; X-ray detector; Detector; Materials science; Computer science; Image quality; Image sensor; Flat panel detector; Image resolution; Digital image; Medical physics; Image processing; Physics; Computer vision; Radiology; Medicine","score_opus":0.008277211987505891,"score_gpt":0.2558535838335161,"score_spread":0.2475763718460102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034643138","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089101635,0.018810464,0.8575889,0.0041231033,0.0007159292,0.0012848708,0.00024317553,0.0025273862,0.025604537],"genre_scores_gemma":[0.4212572,0.007282608,0.5475013,0.0008455279,0.00050730346,0.00097192137,0.00035313235,0.00021544888,0.021065513],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999419,0.00009537939,0.000024480556,0.000076126526,0.00033607087,0.000049024726],"domain_scores_gemma":[0.99958545,0.00012373863,0.00006180789,0.000030631985,0.00014256456,0.000055807046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010296097,0.0006058274,0.00038063616,0.00055604335,0.00033602444,0.0015934267,0.0018485016,0.0014089128,0.0036157297],"category_scores_gemma":[0.0008277349,0.00037997583,0.00024845576,0.0002122892,0.00068657176,0.0019078901,0.00051655626,0.00093968684,0.0011634761],"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":[0.000520694,0.00022869531,0.0025256018,0.001865601,0.000037924365,0.00077933265,0.00030331957,0.0035914627,0.75225586,0.059108682,0.00570817,0.17307468],"study_design_scores_gemma":[0.0003558878,0.0055582337,0.004748987,0.00032813166,0.00012437666,0.008465682,0.0003059842,0.05222586,0.6463454,0.008648775,0.27270687,0.00018590216],"about_ca_topic_score_codex":0.00041243507,"about_ca_topic_score_gemma":0.0002906678,"teacher_disagreement_score":0.0036157297,"about_ca_system_score_codex":0.00072067487,"about_ca_system_score_gemma":0.0009012346,"threshold_uncertainty_score":0.012095869},"labels":[],"label_agreement":null},{"id":"W2036276272","doi":"10.1667/rr3246","title":"Microdosimetric Analysis of Various Mammography Spectra: Lineal Energy Distributions and Ionization Cluster Analysis","year":2004,"lang":"en","type":"article","venue":"Radiation Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont; McGill University","funders":"","keywords":"Ionization; Spectral line; Mammography; Cluster (spacecraft); Physics; Atomic physics; Ion; Medicine; Astronomy; Internal medicine; Computer science","score_opus":0.015571893618345324,"score_gpt":0.31698916498268737,"score_spread":0.30141727136434204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036276272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8843779,0.0007060432,0.11138374,0.0000562423,0.000005235686,0.00007844454,0.00049433997,0.00085356476,0.0020444489],"genre_scores_gemma":[0.9727615,0.00022433944,0.02585123,0.000015451647,0.0000030630185,0.00002696998,0.00035851492,0.000074226424,0.00068458595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998523,0.000021754331,0.0000091201755,0.000033623084,0.00006644419,0.0000167266],"domain_scores_gemma":[0.99952114,0.00019825765,0.00008113395,0.000046619218,0.00013109267,0.00002176032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032137037,0.00022081535,0.00020462842,0.0014724265,0.00014834244,0.00037261087,0.0002376636,0.00022319047,0.0014643274],"category_scores_gemma":[0.00090079935,0.00016477938,0.00033805144,0.00097479165,0.00018433636,0.0002603877,0.00029121703,0.0001842998,0.00028710524],"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":[0.0012708637,0.00011200016,0.14585944,0.00039749773,0.00028912327,0.0003864044,0.00065530575,0.11644296,0.63797283,0.0028954393,0.00056407816,0.09315411],"study_design_scores_gemma":[0.000020798723,0.00041529842,0.21272987,0.000022301669,0.00013463243,0.0017504779,0.00033090182,0.33594728,0.4433809,0.0019447466,0.0032294993,0.0000933205],"about_ca_topic_score_codex":0.0013490982,"about_ca_topic_score_gemma":0.0010069405,"teacher_disagreement_score":0.0014724265,"about_ca_system_score_codex":0.00042328352,"about_ca_system_score_gemma":0.00014805826,"threshold_uncertainty_score":0.0048986673},"labels":[],"label_agreement":null},{"id":"W2036563255","doi":"10.1118/1.2965986","title":"Sci‐Sat AM(1): Imaging‐02: Comparison between experimental measurements and Monte Carlo simulations for the off‐focal radiation in diagnostic x‐ray systems","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Focal length; Optics; Cardinal point; Monte Carlo method; Physics; X-ray tube; Radiation; Anode; Electron; Materials science; Lens (geology); Nuclear physics; Electrode","score_opus":0.05003342215072729,"score_gpt":0.31754699312805723,"score_spread":0.2675135709773299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036563255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84493744,0.0012263852,0.10803595,0.00056682416,0.00015091205,0.00019833402,0.0032147076,0.0036279978,0.038041502],"genre_scores_gemma":[0.9757533,0.00021476367,0.020783218,0.000087126275,0.000017991668,0.000121413585,0.0013638646,0.0003184802,0.0013398099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995524,0.00014257345,0.000030784395,0.000049603605,0.00018750937,0.00003704581],"domain_scores_gemma":[0.9968053,0.0021964675,0.00017490922,0.00025433782,0.0005147819,0.000054182743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010453779,0.0005063641,0.0004163365,0.0007044849,0.00044254973,0.0008852392,0.00093412556,0.0010627841,0.004650894],"category_scores_gemma":[0.003988539,0.00030084173,0.0004781122,0.00092840387,0.00040338212,0.0005921947,0.00028309738,0.00045273534,0.0006740845],"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":[0.00021939968,0.00013149457,0.003939709,0.00014863869,0.00003545814,0.00006941943,0.000047268844,0.9763782,0.003857763,0.0023663212,0.0014259566,0.011380304],"study_design_scores_gemma":[0.000013317326,0.000043706244,0.0011712075,0.000010010582,0.000006387219,0.00003045751,0.000012873309,0.9936598,0.004200684,0.00022605118,0.00061781396,0.000007743571],"about_ca_topic_score_codex":0.0070851585,"about_ca_topic_score_gemma":0.005324265,"teacher_disagreement_score":0.0070851585,"about_ca_system_score_codex":0.001055395,"about_ca_system_score_gemma":0.0007126579,"threshold_uncertainty_score":0.015558779},"labels":[],"label_agreement":null},{"id":"W2036666354","doi":"10.1118/1.3215926","title":"Evaluation of scatter effects on image quality for breast tomosynthesis","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance","keywords":"Tomosynthesis; Image quality; Mammography; Iterative reconstruction; Breast imaging; Voxel; Projection (relational algebra); Optics; Attenuation; Nuclear medicine; Materials science; Physics; Computer science; Medicine; Artificial intelligence; Breast cancer","score_opus":0.027247699088238393,"score_gpt":0.3473315017726635,"score_spread":0.3200838026844251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036666354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523129,0.00045245077,0.046410214,0.000050183353,0.000012774166,0.000046505942,0.000082328595,0.00020470053,0.00042802916],"genre_scores_gemma":[0.9767461,0.00017069356,0.022317994,0.000028552375,0.000009013092,0.00002001424,0.00017651838,0.000120865334,0.00041034198],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990465,0.0003511574,0.00005900172,0.0000840768,0.00039527332,0.000064015716],"domain_scores_gemma":[0.99032307,0.007113026,0.0007272324,0.00042017712,0.0012708688,0.00014556873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021437928,0.00041190954,0.00032357834,0.0005602236,0.00017185643,0.0004311202,0.00022057103,0.00040014068,0.0011717823],"category_scores_gemma":[0.0112515185,0.00027167526,0.00045557768,0.0003281419,0.0003834069,0.00033144891,0.00042876377,0.0002589009,0.00015079543],"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":[0.0038123908,0.00020317301,0.030941913,0.00032544826,0.0002465799,0.00044592534,0.0003961466,0.047666956,0.8610193,0.0003260629,0.00012734276,0.054488856],"study_design_scores_gemma":[0.0001414524,0.003639998,0.12228475,0.000056018678,0.0004078799,0.0019530236,0.00013626301,0.1636921,0.70622253,0.00033999007,0.0010170015,0.00010895854],"about_ca_topic_score_codex":0.0009125111,"about_ca_topic_score_gemma":0.00073900615,"teacher_disagreement_score":0.0021437928,"about_ca_system_score_codex":0.00033539106,"about_ca_system_score_gemma":0.00019901627,"threshold_uncertainty_score":0.011337578},"labels":[],"label_agreement":null},{"id":"W2036714268","doi":"10.1118/1.1405842","title":"Parallel cascades: New ways to describe noise transfer in medical imaging systems","year":2001,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Western University; Robarts Clinical Trials","funders":"","keywords":"Noise (video); Spectral density; Cascade; Computer science; Generalization; Covariance; Expression (computer science); Statistical physics; Optics; Physics; Algorithm; Image (mathematics); Artificial intelligence; Mathematics; Mathematical analysis; Chemistry; Telecommunications; Statistics","score_opus":0.022699456901337692,"score_gpt":0.27084651125993364,"score_spread":0.24814705435859596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036714268","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076528513,0.0005654627,0.9851247,0.0001881055,0.000057243462,0.00008128645,0.00003910103,0.00017900091,0.0061122756],"genre_scores_gemma":[0.58649796,0.0031652558,0.38797888,0.0008036549,0.0004801269,0.0007102041,0.00015109463,0.00044763612,0.019765226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879044,0.00036350935,0.000057110843,0.00014391182,0.0005505483,0.00009441469],"domain_scores_gemma":[0.9990484,0.0004824431,0.00010206217,0.00014768228,0.00017975821,0.000039688297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019548442,0.0016007524,0.00071675604,0.0014518137,0.0004883582,0.0015050869,0.0018314281,0.0016712324,0.003318669],"category_scores_gemma":[0.0034745221,0.0006056022,0.001181076,0.0008772827,0.001792964,0.0037868891,0.0015125053,0.0018536398,0.0010998982],"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":[0.000062358995,0.00007560263,0.0005079345,0.00014372685,0.00005617989,0.00053885777,0.00036097126,0.20924461,0.014531491,0.7506983,0.0017458326,0.022034094],"study_design_scores_gemma":[0.000014337198,0.000047788977,0.00016249035,0.000017019416,0.000017028655,0.00026953963,0.00003403054,0.76597947,0.0021230737,0.2280399,0.003266111,0.000029190316],"about_ca_topic_score_codex":0.0011867807,"about_ca_topic_score_gemma":0.0007010945,"teacher_disagreement_score":0.003318669,"about_ca_system_score_codex":0.0010535743,"about_ca_system_score_gemma":0.0006539234,"threshold_uncertainty_score":0.011102021},"labels":[],"label_agreement":null},{"id":"W2037079709","doi":"10.1117/12.911545","title":"Wiener filter for filtered back projection in digital breast tomosynthesis","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Sunnybrook Hospital","funders":"","keywords":"Wiener filter; Reconstruction filter; Wiener deconvolution; Iterative reconstruction; Tomosynthesis; Computer vision; Mathematics; Filter (signal processing); Projection (relational algebra); Artificial intelligence; Image quality; Computer science; Digital filter; Deconvolution; Algorithm; Mammography; Image (mathematics); Root-raised-cosine filter; Blind deconvolution","score_opus":0.013303571371347134,"score_gpt":0.2318694350849268,"score_spread":0.21856586371357967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037079709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034712448,0.0006374953,0.99470925,0.000047469828,0.000043440126,0.000031753723,0.000036127505,0.00030100124,0.0007220734],"genre_scores_gemma":[0.051140446,0.0016714472,0.94302464,0.000061545914,0.00004949185,0.00012761395,0.00017346958,0.00015349658,0.0035978768],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930036,0.00022889025,0.000040334427,0.00009525918,0.0003072392,0.000027917587],"domain_scores_gemma":[0.9991897,0.00050429814,0.00006140718,0.00007342099,0.0001501189,0.000021078442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015250469,0.00057823,0.00049459003,0.00056291535,0.00029863985,0.00081072486,0.0006042957,0.0010571174,0.0029921802],"category_scores_gemma":[0.003798813,0.00041850697,0.0005485111,0.0007705854,0.0004566068,0.0008091188,0.0005509029,0.00071785395,0.0016289947],"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":[0.0007694132,0.00011890345,0.0015405641,0.0008599172,0.0001581825,0.00078098214,0.00025391023,0.1504609,0.13878712,0.0689163,0.0048628873,0.63249093],"study_design_scores_gemma":[0.000047298934,0.00016337214,0.0016549849,0.00009542763,0.0000726952,0.00081413635,0.000039825936,0.9097923,0.055045515,0.014195,0.01799117,0.00008832686],"about_ca_topic_score_codex":0.0023385242,"about_ca_topic_score_gemma":0.0031637314,"teacher_disagreement_score":0.0029921802,"about_ca_system_score_codex":0.00048497692,"about_ca_system_score_gemma":0.000662526,"threshold_uncertainty_score":0.010009825},"labels":[],"label_agreement":null},{"id":"W2037585941","doi":"10.1118/1.3611661","title":"SU‐E‐I‐87: Pilot Testing of Software for Automated Remote Quality Control of Digital Mammography Equipment for Use in the Ontario Breast Screening Program","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"DICOM; Mammography; Digital mammography; Medical physics; Quality assurance; Computer science; Dosimetry; Software; Image quality; Medicine; Artificial intelligence; Nuclear medicine; Breast cancer","score_opus":0.09522734549581766,"score_gpt":0.31740406623748085,"score_spread":0.2221767207416632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037585941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98668265,0.000056000183,0.008056005,0.00005524072,0.000010160627,0.0006973814,0.00027855948,0.003430578,0.0007334398],"genre_scores_gemma":[0.9533432,0.00006784822,0.040876616,0.00009987557,0.000015983613,0.00057914096,0.0020990435,0.0006833134,0.0022349637],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99740076,0.0007580652,0.0001851454,0.00037834715,0.0010022472,0.00027547622],"domain_scores_gemma":[0.9837059,0.006428233,0.0009229113,0.0016184296,0.0066364054,0.000688237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064779776,0.0007892291,0.00034991297,0.00065439404,0.0004117896,0.00045693072,0.0021704775,0.00038919295,0.0020553293],"category_scores_gemma":[0.017180372,0.00052650215,0.00040060782,0.0005402358,0.0007827746,0.00056406524,0.0007072624,0.00036260925,0.00067781477],"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":[0.016925788,0.0086307805,0.21521693,0.0011943524,0.00042676958,0.0012842605,0.008332105,0.018338274,0.20542294,0.00055158086,0.01230806,0.5113681],"study_design_scores_gemma":[0.003045364,0.03337845,0.58232623,0.00013416608,0.0006402894,0.00083088374,0.0010792234,0.14809321,0.21204166,0.00012872783,0.018067282,0.00023448706],"about_ca_topic_score_codex":0.07174711,"about_ca_topic_score_gemma":0.069388136,"teacher_disagreement_score":0.07174711,"about_ca_system_score_codex":0.0025727896,"about_ca_system_score_gemma":0.0027205518,"threshold_uncertainty_score":0.14265901},"labels":[],"label_agreement":null},{"id":"W2038001661","doi":"10.1118/1.2218313","title":"Film mammography for breast cancer screening in younger women is no longer appropriate because of the demonstrated superiority of digital mammography for this age group","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Medical physicist; Digital mammography; Medical physics; Medicine; Breast imaging; Breast cancer; Library science; Nuclear medicine; Computer science; Cancer","score_opus":0.010184537237346098,"score_gpt":0.24254972365020802,"score_spread":0.2323651864128619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038001661","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018992469,0.1830019,0.002732768,0.7581618,0.016422797,0.000024703759,0.0002361343,0.00011694225,0.020310527],"genre_scores_gemma":[0.15266769,0.24468648,0.0054031564,0.55351996,0.028884346,0.00005018058,0.00037314324,0.00011013411,0.01430493],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974021,0.0007095551,0.0003649747,0.00051356613,0.0008095557,0.00020021174],"domain_scores_gemma":[0.98662555,0.008021016,0.0019460925,0.00072725787,0.001725655,0.00095446745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052343807,0.00034113062,0.0009627545,0.0009688395,0.0010816988,0.0020082423,0.0009982568,0.004647752,0.0073474403],"category_scores_gemma":[0.016186818,0.00028761209,0.00093056384,0.00097177335,0.0031314697,0.0028245836,0.0012994789,0.00760634,0.0034039936],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003936882,0.00022817304,0.03973845,0.0012685985,0.00015824963,0.0016103331,0.000939781,0.00012638063,0.004944679,0.01901863,0.19825336,0.7333196],"study_design_scores_gemma":[0.00017186368,0.00070642814,0.072103925,0.0054882867,0.00027986776,0.016816294,0.0019007282,0.00021621451,0.0031274534,0.025238203,0.8738158,0.00013491549],"about_ca_topic_score_codex":0.0036886956,"about_ca_topic_score_gemma":0.0055285753,"teacher_disagreement_score":0.0073474403,"about_ca_system_score_codex":0.0011364564,"about_ca_system_score_gemma":0.0013794242,"threshold_uncertainty_score":0.027682364},"labels":[],"label_agreement":null},{"id":"W2039168960","doi":"10.1118/1.2241994","title":"Resolution at oblique incidence angles of a flat panel imager for breast tomosynthesis","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Breast Cancer Research Alliance; Breast Cancer Alliance","keywords":"Tomosynthesis; Optics; Detective quantum efficiency; Optical transfer function; Detector; Flat panel detector; Physics; Image resolution; Image sensor; Materials science; Mammography; Beam (structure); Nuclear medicine; Image quality; Medicine; Computer science; Breast cancer","score_opus":0.014190261070155951,"score_gpt":0.24888565504351573,"score_spread":0.23469539397335978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039168960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8341867,0.0024008793,0.15375845,0.00028999333,0.000076891454,0.00012327643,0.00054024084,0.0016970137,0.0069266353],"genre_scores_gemma":[0.87216276,0.0010243984,0.12436474,0.00012453824,0.000024640061,0.00004078865,0.000432867,0.00018497733,0.0016402148],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934655,0.00013912286,0.000038933867,0.00010383385,0.0003041706,0.000067429115],"domain_scores_gemma":[0.99817896,0.0009902805,0.00019219566,0.00018971447,0.00034982193,0.00009904958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012234324,0.00038543204,0.00043596563,0.0005691303,0.00023022688,0.0008243918,0.00048471714,0.0006100223,0.004590544],"category_scores_gemma":[0.0034024331,0.0005811202,0.00029896377,0.0009237966,0.0002513056,0.0005289294,0.00036840097,0.00064120494,0.0010679304],"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":[0.0008107698,0.000039356168,0.0035733732,0.00011474163,0.000019497065,0.0001501674,0.00006962804,0.0011179515,0.9676454,0.00038772493,0.00028578198,0.02578559],"study_design_scores_gemma":[0.000046009976,0.00061659527,0.036534168,0.000034320426,0.000096256954,0.0017817894,0.00007436488,0.011413428,0.9463821,0.00029752502,0.002667048,0.00005636346],"about_ca_topic_score_codex":0.001030324,"about_ca_topic_score_gemma":0.0016692955,"teacher_disagreement_score":0.004590544,"about_ca_system_score_codex":0.0003381696,"about_ca_system_score_gemma":0.0003656604,"threshold_uncertainty_score":0.015356898},"labels":[],"label_agreement":null},{"id":"W2039592178","doi":"10.1118/1.3326947","title":"Effect of repeated x‐ray exposure on the resolution of amorphous selenium based x‐ray imagers","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thunder Bay Regional Research Institute; Health Sciences Centre; University of Saskatchewan; Cégep de Saint-Laurent; University of Toronto; Sunnybrook Health Science Centre; Lakehead University; Concordia University","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Optics; Sensitivity (control systems); Optical transfer function; Physics; Electric field; X-ray; Photon energy; X-ray detector; Materials science; Computational physics; Photon; Detector","score_opus":0.00540252448566681,"score_gpt":0.2370504701676365,"score_spread":0.2316479456819697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039592178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97012144,0.00087423355,0.027797231,0.00007092599,0.000014303831,0.000019076459,0.00007805319,0.00021530305,0.00080942607],"genre_scores_gemma":[0.9906872,0.0002462935,0.0085253725,0.000014680293,0.0000024890408,0.0000139243375,0.00003883221,0.000020515308,0.000450769],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997955,0.000028459239,0.000013336478,0.000046832123,0.00009637163,0.000019445753],"domain_scores_gemma":[0.99918026,0.0004820574,0.00013143333,0.000091394315,0.00009708066,0.000017828768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004472455,0.00028550785,0.00019811618,0.00016648903,0.00013799462,0.00037922652,0.00038788342,0.0004267689,0.0008713453],"category_scores_gemma":[0.0014373262,0.00018982997,0.0002513607,0.00016786405,0.00022638687,0.00034185467,0.00020389787,0.00025379148,0.00012225757],"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":[0.00030954138,0.000078449055,0.005759762,0.00019836095,0.00003563046,0.00026049052,0.00014799475,0.03575208,0.943106,0.00040564622,0.00010880743,0.013837259],"study_design_scores_gemma":[0.000011737415,0.00032560414,0.01306803,0.000017088005,0.000028855417,0.00022394885,0.000047966285,0.10102099,0.8845503,0.00010675583,0.0005805756,0.000018125978],"about_ca_topic_score_codex":0.0009929484,"about_ca_topic_score_gemma":0.0007990029,"teacher_disagreement_score":0.0009929484,"about_ca_system_score_codex":0.0005164268,"about_ca_system_score_gemma":0.00019816266,"threshold_uncertainty_score":0.0037469864},"labels":[],"label_agreement":null},{"id":"W2040984732","doi":"10.1088/1742-6596/341/1/012021","title":"An Approach Using Parallel Architecture to Storage DICOM Images in Distributed File System","year":2012,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Digital Radiography and Breast 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":"Western University","funders":"","keywords":"DICOM; Computer science; Architecture; Field (mathematics); Operating system; Distributed File System; File system","score_opus":0.02323988314617167,"score_gpt":0.2666907831077372,"score_spread":0.24345089996156552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040984732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050210875,0.0009647233,0.9314646,0.00076973665,0.00030958458,0.00041367556,0.0002644481,0.005213994,0.010388363],"genre_scores_gemma":[0.26177984,0.0009977943,0.72444725,0.00026139882,0.00017563425,0.00048772845,0.0009908654,0.00036256728,0.010496897],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994541,0.00010381521,0.00004719006,0.00010404238,0.00022123392,0.00006963035],"domain_scores_gemma":[0.9993405,0.0000657226,0.00003172045,0.0002524677,0.00026199888,0.000047629026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004498104,0.00045045916,0.00042686597,0.0007736639,0.00089258497,0.0014265404,0.001905701,0.00058264536,0.0028852238],"category_scores_gemma":[0.0011295591,0.00028320996,0.00052718434,0.0013875642,0.00044657453,0.0017997519,0.0012403233,0.0006171904,0.0011100454],"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":[0.0012438169,0.0008821173,0.0072751953,0.00083820446,0.00035493364,0.0015154381,0.001121329,0.0612435,0.12384687,0.07634518,0.048689775,0.67664355],"study_design_scores_gemma":[0.00048182893,0.001077708,0.0044053253,0.00012612082,0.00035479772,0.0027374853,0.000665518,0.61549807,0.13228868,0.063160434,0.17900513,0.00019901134],"about_ca_topic_score_codex":0.003107835,"about_ca_topic_score_gemma":0.002761198,"teacher_disagreement_score":0.003107835,"about_ca_system_score_codex":0.0006327089,"about_ca_system_score_gemma":0.0010508777,"threshold_uncertainty_score":0.009652019},"labels":[],"label_agreement":null},{"id":"W2042918295","doi":"10.1007/s10278-002-5025-x","title":"Radiology Workstation Design for the Medical Intensive Care Unit","year":2002,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Workstation; Workflow; Presentation (obstetrics); Medicine; Picture archiving and communication system; Intensive care unit; Medical physics; Radiology; Computer science; Intensive care; Teleradiology; Modality (human–computer interaction); Medical emergency; Multimedia; Health care; Telemedicine; Intensive care medicine; Database; Artificial intelligence; Operating system","score_opus":0.04331405811019178,"score_gpt":0.29766825917124773,"score_spread":0.25435420106105594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042918295","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.134124,0.0012354461,0.8475762,0.0007370768,0.00039582027,0.00072762865,0.000372424,0.006061687,0.008769794],"genre_scores_gemma":[0.34664157,0.00070783333,0.64302146,0.0003123287,0.00016265392,0.00040457022,0.00050565775,0.0010431749,0.007200752],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918264,0.00026701234,0.00009719178,0.00009666821,0.00029058778,0.000065792985],"domain_scores_gemma":[0.9966761,0.0008845892,0.00020332575,0.00037574215,0.001597499,0.00026282787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012727354,0.0005760517,0.00033747763,0.00073181646,0.0004299218,0.0014007358,0.0014212305,0.0008406426,0.011529954],"category_scores_gemma":[0.004243672,0.0005404333,0.00036918133,0.0004039917,0.00014501205,0.00066964014,0.00049244537,0.00048863154,0.0026636855],"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":[0.0029260542,0.00050955795,0.016550325,0.00087490823,0.00011159373,0.0010670545,0.0006522817,0.018675655,0.27476954,0.004514991,0.0149255125,0.6644226],"study_design_scores_gemma":[0.001506525,0.01118597,0.075563855,0.00081240316,0.0011829203,0.011116797,0.0012085969,0.36087614,0.37015146,0.007004967,0.15887979,0.00051047845],"about_ca_topic_score_codex":0.0009459498,"about_ca_topic_score_gemma":0.0013318508,"teacher_disagreement_score":0.011529954,"about_ca_system_score_codex":0.00042710773,"about_ca_system_score_gemma":0.0010108405,"threshold_uncertainty_score":0.038571537},"labels":[],"label_agreement":null},{"id":"W2043092920","doi":"10.1118/1.2965991","title":"Sci‐Sat AM(1): Imaging‐07: Open field normalization: How to avoid inflation to MTF and DQE values caused by zero‐frequency normalization","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"London Health Sciences Centre; Western University","funders":"","keywords":"Detective quantum efficiency; Normalization (sociology); Optical transfer function; Spatial frequency; Physics; Optics; Mathematics; Image quality; Computer vision; Computer science; Image (mathematics)","score_opus":0.014059420056830288,"score_gpt":0.26812533874795025,"score_spread":0.25406591869111994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043092920","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14994138,0.004077452,0.67388606,0.0045726737,0.0021682626,0.00035781707,0.0018379224,0.009680904,0.15347746],"genre_scores_gemma":[0.67005736,0.003792901,0.2472253,0.0022740972,0.00078986457,0.00059035624,0.0034767783,0.002660023,0.069133356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945575,0.00008679769,0.000026792935,0.00010906157,0.0002867564,0.00003483574],"domain_scores_gemma":[0.9988218,0.0003299324,0.00013674397,0.00025534327,0.00038553806,0.00007067059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011306017,0.00060665706,0.0004391858,0.00062465895,0.0006969294,0.0014456648,0.0010749348,0.001294116,0.034580342],"category_scores_gemma":[0.0036944568,0.0004968217,0.00035405305,0.0006463998,0.00086589804,0.0018854673,0.0011765822,0.0010755714,0.011389675],"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":[0.00090039585,0.00030305097,0.0061190985,0.0010975696,0.00008957418,0.0006590906,0.00039402905,0.010491516,0.49066558,0.04940146,0.049745314,0.39013332],"study_design_scores_gemma":[0.000096250085,0.0005426619,0.012549872,0.00028828127,0.000110493966,0.002295359,0.00016085504,0.13550009,0.6575453,0.019491341,0.17125952,0.00015990429],"about_ca_topic_score_codex":0.0008390081,"about_ca_topic_score_gemma":0.001029085,"teacher_disagreement_score":0.034580342,"about_ca_system_score_codex":0.000762336,"about_ca_system_score_gemma":0.00094949163,"threshold_uncertainty_score":0.11568278},"labels":[],"label_agreement":null},{"id":"W2043765416","doi":"10.1007/bf03190291","title":"An overview of a picture archiving and communications system procurement","year":2001,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; SGS (Canada)","funders":"","keywords":"Procurement; Process (computing); Work (physics); Process management; Plan (archaeology); Engineering management; Business; Computer science; Knowledge management; Health care; Engineering; Marketing; Political science","score_opus":0.04494344829623267,"score_gpt":0.3320183583053078,"score_spread":0.28707491000907515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043765416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032959256,0.13674125,0.5282153,0.023825606,0.0041472344,0.0032282558,0.0016999891,0.005841495,0.26334167],"genre_scores_gemma":[0.09787653,0.14702351,0.61330867,0.004745224,0.0030549387,0.0008778083,0.0031036802,0.0009596496,0.12905],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965335,0.0007089291,0.00044589493,0.0002900228,0.0017992416,0.00022236777],"domain_scores_gemma":[0.9959187,0.0008760356,0.00021980413,0.00026296623,0.0022691495,0.00045338756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044240537,0.0008602476,0.000502346,0.0064667547,0.0018847253,0.0054326393,0.0014535742,0.002143437,0.016397001],"category_scores_gemma":[0.0032348253,0.0010473636,0.00089519116,0.005502773,0.0005527889,0.0059416043,0.0014269256,0.002027886,0.008500771],"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":[0.00016980332,0.00036038604,0.0048294268,0.0011588093,0.00003265669,0.0006622005,0.00018995664,0.0036108766,0.008797741,0.020098802,0.030136054,0.9299533],"study_design_scores_gemma":[0.00005843806,0.0011816241,0.020912256,0.0014865887,0.00010060312,0.004826553,0.00077510317,0.01312701,0.011364588,0.017803945,0.92813605,0.00022724576],"about_ca_topic_score_codex":0.00567578,"about_ca_topic_score_gemma":0.009733769,"teacher_disagreement_score":0.016397001,"about_ca_system_score_codex":0.0030399328,"about_ca_system_score_gemma":0.0060389237,"threshold_uncertainty_score":0.05485344},"labels":[],"label_agreement":null},{"id":"W2044212735","doi":"10.1117/12.2007146","title":"Breast density measurements using ultrasound tomography for patients undergoing tamoxifen treatment","year":2013,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Tamoxifen; Breast cancer; Medicine; Selective estrogen receptor modulator; Breast imaging; Mammography; Breast density; Ultrasound; Radiology; Gynecology; Internal medicine; Cancer","score_opus":0.01594537448247469,"score_gpt":0.23131257645333012,"score_spread":0.21536720197085543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044212735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97295636,0.00667607,0.0019526271,0.00088579755,0.000121103905,0.00025887636,0.0010887772,0.00007451339,0.015985953],"genre_scores_gemma":[0.99151623,0.0032491607,0.0018098502,0.00024965726,0.00011135886,0.00012796905,0.00057331135,0.000010600213,0.0023518498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976426,0.00008624326,0.0000286891,0.000021690972,0.000074069205,0.000025051255],"domain_scores_gemma":[0.99951243,0.00013951614,0.00013632858,0.000027115988,0.0001260565,0.000058605514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040846557,0.00019250409,0.00026445283,0.000884963,0.00027540277,0.00033559752,0.00018598337,0.0002681774,0.002295933],"category_scores_gemma":[0.0021078687,0.00010682357,0.00023937468,0.0005966003,0.00014532739,0.00023271101,0.00023340742,0.00033819248,0.0009062345],"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":[0.0007137399,0.00011342612,0.9544282,0.000090452486,0.00002880753,0.0008529681,0.00018698737,0.00007724668,0.0032921676,0.000055218567,0.0013795962,0.038781237],"study_design_scores_gemma":[0.000026924328,0.0007274694,0.99140996,0.000029989204,0.00004845242,0.0023518826,0.00026856278,0.00032890573,0.0017024069,0.000049765327,0.0030456353,0.000010099339],"about_ca_topic_score_codex":0.0022957285,"about_ca_topic_score_gemma":0.0028663722,"teacher_disagreement_score":0.002295933,"about_ca_system_score_codex":0.0002604674,"about_ca_system_score_gemma":0.00023721333,"threshold_uncertainty_score":0.007680714},"labels":[],"label_agreement":null},{"id":"W2045607856","doi":"10.1097/brs.0b013e3181bdcaa4","title":"Diagnostic Imaging of Spinal Deformities","year":2010,"lang":"en","type":"article","venue":"Spine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":356,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Notre-Dame; Centre Hospitalier de l’Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Imaging phantom; Image quality; Radiography; Nuclear medicine; Scoliosis; Image noise; Scanner; Wilcoxon signed-rank test; Radiology; Surgery; Artificial intelligence; Image (mathematics); Computer science","score_opus":0.0056790525214918675,"score_gpt":0.25234260603864467,"score_spread":0.2466635535171528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045607856","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915229,0.0024210517,0.00059121754,0.00013340717,0.00013310548,0.0041064234,0.00009911937,0.000030460636,0.0009624109],"genre_scores_gemma":[0.98928636,0.001679585,0.0021329043,0.00044735335,0.00050739606,0.004396599,0.00038116143,0.000010190024,0.0011585229],"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","domain_scores_codex":[0.99815255,0.0009969085,0.00013511545,0.0003595352,0.00018745313,0.00016840134],"domain_scores_gemma":[0.9974058,0.0010140671,0.00047062352,0.00020473439,0.00023153957,0.0006732854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003643926,0.0015062297,0.0022067986,0.00058487843,0.0004810097,0.0006660155,0.0008801734,0.0018766875,0.0052546947],"category_scores_gemma":[0.0034384192,0.000548237,0.00089570053,0.00057391194,0.0017023238,0.0005676102,0.00043077613,0.00126266,0.00094609347],"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":[0.9162756,0.02785782,0.0123945465,0.0009613924,0.0004955748,0.00027143606,0.00010162431,0.0003560653,0.00843141,0.00010342292,0.0003069008,0.03244405],"study_design_scores_gemma":[0.2995899,0.6814075,0.015523195,0.000054289034,0.0003974567,0.0002997861,0.000045254415,0.00036732084,0.0015175672,0.0000566464,0.0007210238,0.000020151778],"about_ca_topic_score_codex":0.00031037812,"about_ca_topic_score_gemma":0.00048650274,"teacher_disagreement_score":0.0052546947,"about_ca_system_score_codex":0.00045654934,"about_ca_system_score_gemma":0.0010893942,"threshold_uncertainty_score":0.019271195},"labels":[],"label_agreement":null},{"id":"W2045812071","doi":"10.1117/12.843896","title":"A practical fast method for medical imaging transmission based on the DICOM protocol","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"DICOM; Computer science; Protocol (science); Transmission (telecommunications); Data transmission; Digital imaging; Multimedia; Computer network; Image processing; Digital image; Image (mathematics); Computer vision; Operating system; Telecommunications; Medicine","score_opus":0.0116444949307453,"score_gpt":0.2934899412094325,"score_spread":0.2818454462786872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045812071","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002035445,0.0012100383,0.9832577,0.00046513684,0.0005506942,0.0008140666,0.00017348451,0.003941165,0.0075522237],"genre_scores_gemma":[0.035918448,0.002156641,0.9467113,0.00059109385,0.0005538995,0.0013996708,0.0007018215,0.00084834197,0.011118777],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9961642,0.00074305007,0.0003430539,0.00044353193,0.002131688,0.00017439642],"domain_scores_gemma":[0.9974861,0.00055506174,0.0001776526,0.0007731182,0.0009119616,0.000096070646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002376268,0.00095801515,0.0007157773,0.0027694085,0.0011134943,0.0021500916,0.0015082173,0.0017527154,0.012409793],"category_scores_gemma":[0.004721308,0.00073081534,0.0005922709,0.0018720173,0.0008086952,0.0031296008,0.002293734,0.0022527988,0.007051248],"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":[0.00043008197,0.00021603059,0.00088644883,0.0011714199,0.000097894794,0.0008942665,0.00071965274,0.0018482007,0.127936,0.07198037,0.09054307,0.70327646],"study_design_scores_gemma":[0.0003633743,0.0007171038,0.0018652926,0.00040849228,0.00016976686,0.011652276,0.00031465423,0.056766152,0.1920929,0.024371143,0.71088105,0.00039784823],"about_ca_topic_score_codex":0.00039863162,"about_ca_topic_score_gemma":0.00035454094,"teacher_disagreement_score":0.012409793,"about_ca_system_score_codex":0.0005296786,"about_ca_system_score_gemma":0.0012962882,"threshold_uncertainty_score":0.041514933},"labels":[],"label_agreement":null},{"id":"W2046194218","doi":"10.1186/bcr1831","title":"Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence","year":2008,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":372,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Hospital for Sick Children","keywords":"Breast cancer; MAMMOGRAPHIC DENSITY; Risk factors for breast cancer; Biology; Medicine; Physiology; Oncology; Mammography; Internal medicine; Cancer","score_opus":0.10888114897758763,"score_gpt":0.38533290514674745,"score_spread":0.27645175616915985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046194218","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067027345,0.8323269,0.015018997,0.063341826,0.0013019656,0.00020143816,0.0011431627,0.0001371185,0.019501224],"genre_scores_gemma":[0.59213734,0.38402373,0.006669226,0.0074894615,0.0059841457,0.00024589206,0.0006929516,0.00002477,0.0027325645],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825794,0.000906243,0.00009629603,0.00028368077,0.00036492088,0.00009088685],"domain_scores_gemma":[0.9887609,0.007842102,0.0019337371,0.00044557822,0.00061049487,0.0004072159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048087435,0.0010383397,0.00097298785,0.0038437415,0.00038014428,0.0015770406,0.0018817926,0.0027554755,0.007034788],"category_scores_gemma":[0.012390026,0.00062053616,0.0016121592,0.0027465378,0.0036403579,0.0027199232,0.0009926703,0.0015589552,0.0010544434],"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":[0.0018359255,0.00039505455,0.5739441,0.009700697,0.0031091438,0.001780102,0.00070036144,0.0039814124,0.0018591486,0.15925407,0.0073534856,0.23608647],"study_design_scores_gemma":[0.0003467566,0.0015622801,0.7447503,0.003969358,0.0027195974,0.0069810883,0.0016149032,0.0075282836,0.0009551548,0.1899064,0.039515182,0.00015060171],"about_ca_topic_score_codex":0.0027360807,"about_ca_topic_score_gemma":0.00150417,"teacher_disagreement_score":0.007034788,"about_ca_system_score_codex":0.0008946433,"about_ca_system_score_gemma":0.0005596651,"threshold_uncertainty_score":0.025431335},"labels":[],"label_agreement":null},{"id":"W2046677989","doi":"10.1118/1.2150779","title":"Characterization of metal oxide semiconductor field effect transistor dosimeters for application in clinical mammography","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Energy","keywords":"Dosimeter; Sensitivity (control systems); Dosimetry; Materials science; Optics; Medical physics; Physics; Nuclear medicine; Optoelectronics; Medicine; Electronic engineering; Engineering","score_opus":0.009527931528177934,"score_gpt":0.27863317044138347,"score_spread":0.26910523891320554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046677989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619553,0.0018650627,0.034137283,0.00014938605,0.00004359131,0.00017259072,0.00036120877,0.0003430567,0.00097256637],"genre_scores_gemma":[0.9721644,0.00062348205,0.025637444,0.00008155942,0.000012173841,0.00007076335,0.00029924724,0.000053155258,0.0010578407],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933285,0.00013620417,0.000053097647,0.00011478535,0.00031276344,0.00005028311],"domain_scores_gemma":[0.99834144,0.00079591747,0.00020408895,0.00011866726,0.00046938268,0.00007043607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010187009,0.00034256192,0.00029803376,0.0003916574,0.00012150063,0.00042401932,0.00039550973,0.000429557,0.00095567957],"category_scores_gemma":[0.0032577994,0.00021078394,0.0002242769,0.00039592624,0.00019752035,0.000248832,0.0001968302,0.0001505097,0.000204783],"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":[0.00022174833,0.000041362408,0.015383382,0.00012475497,0.00003362041,0.00008206214,0.000115171046,0.0010843195,0.96839404,0.00013254564,0.00015627497,0.014230764],"study_design_scores_gemma":[0.000030011252,0.0024311075,0.052600298,0.000028073566,0.00013909602,0.0009335849,0.00013446697,0.010315464,0.9279484,0.000092638664,0.005324037,0.000022925458],"about_ca_topic_score_codex":0.00054662593,"about_ca_topic_score_gemma":0.0008924217,"teacher_disagreement_score":0.0010187009,"about_ca_system_score_codex":0.00037852675,"about_ca_system_score_gemma":0.00028576847,"threshold_uncertainty_score":0.005387485},"labels":[],"label_agreement":null},{"id":"W2046836946","doi":"10.1088/0031-9155/47/23/201","title":"The physics of computed radiography","year":2002,"lang":"en","type":"review","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":303,"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 Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Computed radiography; Digital radiography; Detective quantum efficiency; Image quality; Computer science; Radiography; Medical physics; Quality (philosophy); Computer vision; Image (mathematics); Physics; Medicine; Radiology","score_opus":0.2524956095955235,"score_gpt":0.41226055376689114,"score_spread":0.15976494417136766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046836946","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006578756,0.97133654,0.0053088046,0.003853527,0.0022643078,0.000027221296,0.000030925916,0.000055559733,0.016465267],"genre_scores_gemma":[0.009423199,0.9689613,0.0050446396,0.0026572207,0.0031896804,0.0000652457,0.000055113836,0.00002094019,0.0105825635],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989579,0.00021921567,0.0000700622,0.00014803889,0.000555099,0.000049732254],"domain_scores_gemma":[0.9988612,0.0005370451,0.00008314027,0.00009698471,0.0003384202,0.00008329099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042679,0.000912966,0.0014053716,0.002015255,0.0007974952,0.0022811801,0.0014372803,0.0025415546,0.0044708243],"category_scores_gemma":[0.002270094,0.00050381676,0.00058125093,0.002019876,0.0033330526,0.0021839256,0.001495053,0.004115552,0.0031107673],"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":[0.00007645718,0.00012669123,0.0007832553,0.0071579632,0.00007911987,0.00074088766,0.00041626295,0.0012775395,0.006874208,0.08096934,0.058258884,0.8432394],"study_design_scores_gemma":[0.000008705824,0.000063377156,0.0009539154,0.001276156,0.000018147126,0.0033001716,0.00009821664,0.00026782794,0.0013834714,0.03011746,0.9624738,0.000038716047],"about_ca_topic_score_codex":0.0017838496,"about_ca_topic_score_gemma":0.0013578151,"teacher_disagreement_score":0.0044708243,"about_ca_system_score_codex":0.0017739108,"about_ca_system_score_gemma":0.0021008234,"threshold_uncertainty_score":0.014956415},"labels":[],"label_agreement":null},{"id":"W2046872239","doi":"10.1158/1055-9965.epi-06-0651","title":"Mammographic Density, Hormone Therapy, and Risk of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Hormone therapy; MAMMOGRAPHIC DENSITY; Medicine; Oncology; Mammography; Internal medicine; Gynecology; Cancer","score_opus":0.024137413655490353,"score_gpt":0.3078660605177537,"score_spread":0.2837286468622634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046872239","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021736783,0.0035221146,0.00012827324,0.98354477,0.009280394,0.000026043994,0.0002456165,0.000023322764,0.0010558325],"genre_scores_gemma":[0.053761583,0.011053197,0.001914199,0.8374625,0.078823484,0.00021078752,0.00044589196,0.000048631628,0.016279783],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99769115,0.0011682496,0.00028297564,0.00028590663,0.00045453763,0.00011714197],"domain_scores_gemma":[0.98262817,0.011679573,0.0010516889,0.0003781281,0.0034593123,0.0008031805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005321352,0.00064517313,0.0008839832,0.0011483785,0.00081328675,0.0012217253,0.0018197829,0.007542114,0.011474957],"category_scores_gemma":[0.025675192,0.00028108672,0.00060322596,0.0014381182,0.0009241112,0.0012318369,0.0007483356,0.008285797,0.0025804255],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018665733,0.00012464964,0.021690441,0.0003338246,0.000076862045,0.0004911876,0.0004399987,0.00015291704,0.0001566382,0.000834634,0.9540138,0.021498434],"study_design_scores_gemma":[0.00064502243,0.00086592307,0.11194827,0.0027245774,0.0007930269,0.009866166,0.011696094,0.003005946,0.0027536748,0.0111964075,0.8440715,0.00043336902],"about_ca_topic_score_codex":0.002865545,"about_ca_topic_score_gemma":0.010456108,"teacher_disagreement_score":0.011474957,"about_ca_system_score_codex":0.00086299994,"about_ca_system_score_gemma":0.001104645,"threshold_uncertainty_score":0.038387597},"labels":[],"label_agreement":null},{"id":"W2048014103","doi":"10.1118/1.2868756","title":"Quantification of breast arterial calcification using full field digital mammography","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Heart, Lung, and Blood Institute","keywords":"Mammography; Imaging phantom; Digital mammography; Medicine; Coronary artery calcium; Densitometry; Breast cancer; Radiology; Calcification; Nuclear medicine; Cancer; Internal medicine; Computed tomography","score_opus":0.02640193001291398,"score_gpt":0.2713632761598916,"score_spread":0.24496134614697762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048014103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8612482,0.0041361637,0.12974222,0.00007356739,0.000025334968,0.00018284266,0.00063034415,0.0006101287,0.0033512288],"genre_scores_gemma":[0.8507161,0.0022850726,0.14455883,0.00007535804,0.000019351148,0.0001075494,0.00047568762,0.000049929044,0.001712045],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9990746,0.00017592456,0.00005594559,0.00015824704,0.0005054824,0.000029840096],"domain_scores_gemma":[0.99890566,0.0004369248,0.00022094366,0.000116962656,0.0002874636,0.00003210396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001037522,0.00038692929,0.0002777472,0.0017015022,0.00012602757,0.00060828927,0.0003754214,0.00043384053,0.0013569497],"category_scores_gemma":[0.0023114306,0.00040769824,0.0002581078,0.0010237986,0.00027588473,0.0004011413,0.0005209014,0.00017871433,0.00030301095],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046932744,0.000096676966,0.02921452,0.0006469983,0.00013961649,0.00020204474,0.00015438758,0.0037350683,0.86327195,0.0004907522,0.00029558432,0.10128293],"study_design_scores_gemma":[0.00008896303,0.0011760801,0.39786038,0.0001369306,0.00034599827,0.005396758,0.00018925224,0.051712595,0.53538036,0.001256205,0.0063035074,0.00015297304],"about_ca_topic_score_codex":0.0007059147,"about_ca_topic_score_gemma":0.0009851429,"teacher_disagreement_score":0.0017015022,"about_ca_system_score_codex":0.00027653703,"about_ca_system_score_gemma":0.00016929852,"threshold_uncertainty_score":0.005487025},"labels":[],"label_agreement":null},{"id":"W2048498879","doi":"10.1148/rg.241035127","title":"Radiology on Handheld Devices: Image Display, Manipulation, and PACS Integration Issues","year":2004,"lang":"en","type":"review","venue":"Radiographics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":49,"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":"Federation for the Humanities and Social Sciences","keywords":"Medicine; Mobile device; Medical physics; Radiology; Computer vision; Computer graphics (images); World Wide Web","score_opus":0.03766967107925274,"score_gpt":0.34349087290267133,"score_spread":0.3058212018234186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048498879","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003472459,0.99568415,0.00057065184,0.0003062135,0.00014392097,0.000009824376,0.000007149452,0.000023102737,0.0029077593],"genre_scores_gemma":[0.0021093984,0.99384093,0.001172546,0.00042478586,0.00031950767,0.000019066696,0.00002438184,0.0000066194434,0.0020827604],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877244,0.00023461336,0.00013921516,0.00014269607,0.00065529917,0.00005576112],"domain_scores_gemma":[0.9978023,0.001131077,0.00025204665,0.0000897875,0.00063743995,0.000087277615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014812562,0.00073204626,0.0015020209,0.0027662287,0.0004169243,0.0017956167,0.0012940629,0.0018749482,0.0037562987],"category_scores_gemma":[0.0026371113,0.000514516,0.00069428,0.004112522,0.0009995269,0.002909247,0.0006623006,0.0014884385,0.0039242697],"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":[0.00002075775,0.00004637844,0.00033872674,0.006917516,0.00003313187,0.00051584607,0.00009548019,0.0001707526,0.0016343064,0.0014901113,0.010217957,0.978519],"study_design_scores_gemma":[0.000018635323,0.0001727047,0.0048534614,0.004843113,0.00013615255,0.020233225,0.00023583657,0.00023842683,0.002647043,0.0021829372,0.964398,0.000040484945],"about_ca_topic_score_codex":0.001980417,"about_ca_topic_score_gemma":0.0025530888,"teacher_disagreement_score":0.0037562987,"about_ca_system_score_codex":0.00081712456,"about_ca_system_score_gemma":0.0015288928,"threshold_uncertainty_score":0.01256603},"labels":[],"label_agreement":null},{"id":"W2049264010","doi":"10.1117/12.2082802","title":"Comparison of breast density measurements made using ultrasound tomography and mammography","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Institutes of Health","keywords":"Mammography; Ultrasound; Breast density; Medical physics; Breast ultrasound; Medicine; Tomography; Radiology; Breast cancer; Internal medicine; Cancer","score_opus":0.03162224013937314,"score_gpt":0.2716952381247564,"score_spread":0.24007299798538323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049264010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926509,0.0011804529,0.0030246144,0.000035534646,0.000018894512,0.00003820766,0.00023016955,0.000037913327,0.0027833048],"genre_scores_gemma":[0.9966223,0.00045144558,0.0023008976,0.000021559796,0.000019093417,0.000025299156,0.00023495735,0.0000075086023,0.0003169449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977871,0.0009372738,0.00021115979,0.00018547838,0.00075855665,0.00012044162],"domain_scores_gemma":[0.99177015,0.00541776,0.0009938346,0.00033403022,0.0012859935,0.00019833366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020902876,0.00034720593,0.00028029567,0.0029529624,0.00017396711,0.00071412843,0.00038614034,0.00034407803,0.0008402314],"category_scores_gemma":[0.017098023,0.00024473795,0.00027366582,0.0016500335,0.00037773314,0.00069157645,0.00066420704,0.00023121659,0.00029220604],"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":[0.0011338348,0.00005561272,0.96743953,0.000078675286,0.0001187523,0.00018307824,0.00027776227,0.00047588526,0.0064683273,0.00018872878,0.00011323312,0.02346661],"study_design_scores_gemma":[0.000017058332,0.00043791422,0.98809487,0.000020272792,0.00009361554,0.0013407825,0.00048084505,0.002787861,0.0059950524,0.000128138,0.00058995077,0.000013754958],"about_ca_topic_score_codex":0.0022410802,"about_ca_topic_score_gemma":0.003120311,"teacher_disagreement_score":0.0029529624,"about_ca_system_score_codex":0.00035355994,"about_ca_system_score_gemma":0.00022199262,"threshold_uncertainty_score":0.011054635},"labels":[],"label_agreement":null},{"id":"W2049786577","doi":"10.1023/a:1021112121782","title":"Polymorphisms in Steroid Hormone Pathway Genes and Mammographic Density","year":2003,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Cancer Institute; Centers for Disease Control and Prevention","keywords":"Breast cancer; Genotype; Internal medicine; Endocrinology; Risk factors for breast cancer; Menopause; Allele; Medicine; Hormone; Breast density; Biology; Oncology; Gene; Mammography; Genetics; Cancer","score_opus":0.03640984360185148,"score_gpt":0.3104847936234778,"score_spread":0.2740749500216263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049786577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960375,0.0010426611,0.0005466484,0.00049688295,0.000052878964,0.000015167873,0.00047240712,0.000017708722,0.001318166],"genre_scores_gemma":[0.99759835,0.0003598551,0.00043881199,0.00009718178,0.000057582583,0.00001714039,0.00022906419,0.000012889058,0.0011890954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999097,0.00046338481,0.0000896057,0.00015647973,0.00011646543,0.000077094955],"domain_scores_gemma":[0.9954646,0.002907781,0.00083171984,0.00022832262,0.00016337258,0.00040408617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074520934,0.0009118245,0.00062894047,0.001499869,0.00058087846,0.00075280666,0.00047855973,0.0015199481,0.0065063806],"category_scores_gemma":[0.0043613818,0.00060138956,0.00081705995,0.0015068315,0.0005621612,0.00040642876,0.00029148092,0.0011569748,0.00045152495],"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":[0.0045131603,0.00060304557,0.971208,0.00007843111,0.0009579245,0.0025003182,0.0004550516,0.00037505705,0.012105104,0.0006127717,0.0003841901,0.0062070102],"study_design_scores_gemma":[0.00025792624,0.000506439,0.9876087,0.00004424843,0.0007751898,0.005199953,0.00028564266,0.0012224558,0.0020976516,0.0008651237,0.0011132902,0.000023512563],"about_ca_topic_score_codex":0.004143864,"about_ca_topic_score_gemma":0.0026330096,"teacher_disagreement_score":0.0065063806,"about_ca_system_score_codex":0.00033021223,"about_ca_system_score_gemma":0.00036238946,"threshold_uncertainty_score":0.021766007},"labels":[],"label_agreement":null},{"id":"W2051780380","doi":"10.1118/1.1359244","title":"Field nonuniformity correction for quantitative analysis of digitized mammograms","year":2001,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Field (mathematics); Medical imaging; Dosimetry; Physics; Medical physics; Nuclear medicine; Optics; Computer science; Mathematics; Medicine; Artificial intelligence; Breast cancer","score_opus":0.021410868864526856,"score_gpt":0.3168161959067197,"score_spread":0.29540532704219286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051780380","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040105797,0.0009063928,0.95322526,0.00009992305,0.0001155891,0.00045703995,0.00036907327,0.0032577515,0.001463157],"genre_scores_gemma":[0.11058941,0.000444164,0.88619924,0.00006239365,0.000027182847,0.00027625466,0.00030515302,0.00056465215,0.0015315068],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9956513,0.0014443977,0.00028084446,0.00035919165,0.0021314947,0.0001328669],"domain_scores_gemma":[0.98413277,0.008402545,0.00093055784,0.0023731103,0.004001028,0.00016001219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067883115,0.000754899,0.00066478143,0.002562133,0.00050422177,0.001095018,0.001292937,0.00047677782,0.0058485162],"category_scores_gemma":[0.028315682,0.00073199463,0.00043679966,0.0022924403,0.0007562487,0.0009806056,0.0006343821,0.0008263387,0.001259597],"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":[0.00066781504,0.00017961932,0.0067517273,0.0011269911,0.00014117279,0.00031333638,0.00040091932,0.014771587,0.6465551,0.0052717365,0.0032309717,0.32058907],"study_design_scores_gemma":[0.000089409594,0.0007730681,0.05159852,0.00013644065,0.0001992295,0.0020483497,0.00021784905,0.20636012,0.7055097,0.0045976383,0.028243002,0.00022662507],"about_ca_topic_score_codex":0.0015515486,"about_ca_topic_score_gemma":0.0039039426,"teacher_disagreement_score":0.0067883115,"about_ca_system_score_codex":0.0010675987,"about_ca_system_score_gemma":0.0008663004,"threshold_uncertainty_score":0.035900474},"labels":[],"label_agreement":null},{"id":"W2052031909","doi":"10.1118/1.3495968","title":"A spatio‐temporal detective quantum efficiency and its application to fluoroscopic systems","year":2010,"lang":"en","type":"article","venue":"Medical Physics","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":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Detective quantum efficiency; Optical transfer function; Spatial frequency; Optics; Image intensifier; Fluoroscopy; Temporal resolution; Frame rate; Computer science; Physics; Image quality; Computer vision; Image (mathematics)","score_opus":0.00763325971240842,"score_gpt":0.26109307534999954,"score_spread":0.2534598156375911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052031909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09914155,0.003193018,0.8863471,0.00039489905,0.0000544409,0.00009967215,0.000066526154,0.00040912413,0.010293627],"genre_scores_gemma":[0.8820923,0.0012442946,0.11460613,0.000066829496,0.00004222926,0.00007852608,0.00004927895,0.000052250867,0.0017681477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992342,0.00014545744,0.000044060424,0.00013070853,0.0004119956,0.00003359141],"domain_scores_gemma":[0.99834275,0.0008763453,0.00026583928,0.0001516755,0.00032924404,0.0000341596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010878926,0.00035299445,0.00023983109,0.0007335879,0.00027558111,0.0006228316,0.0005555548,0.00055305136,0.0008658069],"category_scores_gemma":[0.0034075202,0.00019027975,0.000312985,0.0006249035,0.001204068,0.00091729115,0.0006524893,0.00047474448,0.00021490884],"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":[0.00036172688,0.00020479636,0.007808541,0.00077184814,0.000093250565,0.00062069646,0.0005965629,0.1779899,0.49369112,0.100682065,0.0011344189,0.21604507],"study_design_scores_gemma":[0.000018314377,0.00045322708,0.010351934,0.00006279495,0.00004447587,0.0012460329,0.000086207954,0.6495409,0.3031127,0.021771332,0.0132081965,0.00010394333],"about_ca_topic_score_codex":0.0009705718,"about_ca_topic_score_gemma":0.00034153412,"teacher_disagreement_score":0.0011872794,"about_ca_system_score_codex":0.0011872794,"about_ca_system_score_gemma":0.00032332764,"threshold_uncertainty_score":0.008614361},"labels":[],"label_agreement":null},{"id":"W2052483199","doi":"10.1118/1.3476147","title":"Poster — Thur Eve — 42: Anti‐Scatter Grid Use for Digital Tomosynthesis: An Observer Study","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Children's Hospital of Winnipeg; University of Manitoba; CancerCare Manitoba","funders":"","keywords":"Tomosynthesis; Digital radiography; Image quality; Grid; Medical imaging; Computed radiography; Radiography; Medicine; Nuclear medicine; Medical physics; Computer science; Artificial intelligence; Computer vision; Radiology; Image (mathematics); Mammography; Mathematics","score_opus":0.028184114479445473,"score_gpt":0.2863097932720136,"score_spread":0.25812567879256815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052483199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880584,0.0007688414,0.004864017,0.00022603164,0.00020686514,0.00029533182,0.00018656885,0.0000496181,0.005344373],"genre_scores_gemma":[0.99144846,0.00045852497,0.003946593,0.00027187905,0.00015586117,0.00012800033,0.00019074684,0.0000648671,0.0033349067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978436,0.0011951919,0.00022061531,0.00033635265,0.00030354143,0.0001005988],"domain_scores_gemma":[0.98665756,0.006082288,0.0018446138,0.0022642144,0.002508129,0.0006432017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063969465,0.00038205308,0.0002840244,0.00047893438,0.00043629092,0.0008483297,0.0005701214,0.00059758336,0.0070811743],"category_scores_gemma":[0.015132796,0.00030259753,0.0005677755,0.00032737886,0.0007311379,0.0008729787,0.0005459192,0.00048793567,0.0019241441],"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":[0.068253905,0.017635893,0.38628566,0.0016560121,0.00069799315,0.002865945,0.008335879,0.0016890856,0.12047454,0.0017158256,0.011695548,0.37869373],"study_design_scores_gemma":[0.0028565312,0.13563123,0.72982186,0.00035414106,0.0012465689,0.011079022,0.003919822,0.008441325,0.067230664,0.0017448883,0.03723772,0.00043620332],"about_ca_topic_score_codex":0.0011338962,"about_ca_topic_score_gemma":0.0008986592,"teacher_disagreement_score":0.0070811743,"about_ca_system_score_codex":0.0003754672,"about_ca_system_score_gemma":0.00027690956,"threshold_uncertainty_score":0.033830702},"labels":[],"label_agreement":null},{"id":"W2052553337","doi":"10.1016/s0820-5930(09)60082-7","title":"Digital Mammography: An Overview","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Medical Radiation Technology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Nuclear medicine; Physics; Medicine","score_opus":0.014837824827123886,"score_gpt":0.2889752142417506,"score_spread":0.27413738941462673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052553337","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00057768874,0.9892898,0.0032615303,0.0018926443,0.0005428121,0.000017663304,0.000054896886,0.00006495981,0.0042980034],"genre_scores_gemma":[0.005278147,0.98466647,0.0031719299,0.0016736899,0.0025114568,0.000027741069,0.000092848706,0.000018916284,0.0025588535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986173,0.00031396144,0.00022150218,0.0002465064,0.00049658277,0.000104149774],"domain_scores_gemma":[0.9971566,0.0014319853,0.00023022396,0.00007607439,0.000859312,0.00024571244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019861695,0.001661795,0.0017173617,0.013853795,0.00067167234,0.003615852,0.0013374081,0.0033287893,0.0047861575],"category_scores_gemma":[0.0028289184,0.0011252215,0.0010331987,0.006786341,0.0014412716,0.0050475355,0.0017809838,0.0027196244,0.003216365],"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":[0.00015098393,0.00015695114,0.0024760962,0.005152622,0.000107869506,0.0012113616,0.00013437845,0.0005693012,0.0010728033,0.0076099266,0.034984734,0.9463729],"study_design_scores_gemma":[0.00003445174,0.00040699315,0.010186606,0.006187417,0.00039519917,0.04082506,0.00049153063,0.0012593075,0.0016025598,0.009749116,0.9286957,0.0001661949],"about_ca_topic_score_codex":0.0028633086,"about_ca_topic_score_gemma":0.0065806475,"teacher_disagreement_score":0.013853795,"about_ca_system_score_codex":0.0021357404,"about_ca_system_score_gemma":0.0017296927,"threshold_uncertainty_score":0.016011298},"labels":[],"label_agreement":null},{"id":"W2053088257","doi":"10.2217/iim.10.63","title":"Developing a quality control program for digital mammography: achievements so far and challenges to come","year":2011,"lang":"en","type":"article","venue":"Imaging in Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"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; Health Sciences Centre","funders":"","keywords":"Mammography; Medicine; Digital mammography; Quality assurance; Medical physics; Quality (philosophy); Image quality; Control (management); Workstation; Breast imaging; Computer science; Artificial intelligence; Breast cancer; Pathology","score_opus":0.07623303152175921,"score_gpt":0.3488635762727148,"score_spread":0.2726305447509556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053088257","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016873585,0.53506374,0.17346783,0.243667,0.008813325,0.00059302733,0.0002861727,0.0022004521,0.019034902],"genre_scores_gemma":[0.1633354,0.37777075,0.39365283,0.036377676,0.0109269265,0.0005454624,0.0012013462,0.00066758005,0.015522146],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99110377,0.0028507165,0.0009906249,0.00073788426,0.003789773,0.00052728027],"domain_scores_gemma":[0.93768656,0.017514464,0.004182466,0.005061841,0.029172251,0.006382324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.038319055,0.0011997883,0.0012797164,0.0018046577,0.0013860473,0.00747644,0.0030548368,0.004058505,0.005463504],"category_scores_gemma":[0.03444717,0.00036014634,0.0008842596,0.001979645,0.004293393,0.006900079,0.0036184776,0.0052123214,0.0028037773],"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":[0.00023556987,0.00035500064,0.003074005,0.0030970748,0.00006563818,0.00014095313,0.00037367598,0.00096373766,0.0029638535,0.018799482,0.018361125,0.95156986],"study_design_scores_gemma":[0.00034009584,0.0026419752,0.015345433,0.011744855,0.00032102937,0.0024081531,0.002779979,0.010892346,0.016997157,0.05315757,0.88301075,0.00036063627],"about_ca_topic_score_codex":0.0045153983,"about_ca_topic_score_gemma":0.0015992374,"teacher_disagreement_score":0.038319055,"about_ca_system_score_codex":0.0023737575,"about_ca_system_score_gemma":0.007039559,"threshold_uncertainty_score":0.20265293},"labels":[],"label_agreement":null},{"id":"W2053975478","doi":"10.1118/1.3673957","title":"Measured and calculated K-fluorescence effects on the MTF of an amorphous-selenium based CCD x-ray detector","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Saskatchewan; Canadian Light Source (Canada); Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; X-ray detector; Detector; Optical transfer function; Monochromator; Physics; Monochromatic color; Detective quantum efficiency; Synchrotron; Optoelectronics; Image quality","score_opus":0.012886714580476025,"score_gpt":0.2414814179600762,"score_spread":0.22859470337960017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053975478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91541547,0.0005651207,0.079892635,0.00008108722,0.00002433909,0.00006907083,0.00043999247,0.0008810866,0.0026311327],"genre_scores_gemma":[0.98224753,0.000107702464,0.017191319,0.0000119184215,0.0000018154601,0.000023341769,0.00014004955,0.0000256213,0.00025062478],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927574,0.000075562326,0.000045669694,0.00019210688,0.0003540247,0.000056993336],"domain_scores_gemma":[0.9986873,0.0006616262,0.00011859827,0.00009756288,0.00041368188,0.000021189651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009043576,0.0003220267,0.00023831212,0.00040234908,0.00037861135,0.00051595,0.00085838477,0.0006218973,0.0017055877],"category_scores_gemma":[0.003947472,0.00018888696,0.0002945412,0.0004553923,0.00041825388,0.00076004636,0.00018401095,0.00035271206,0.00032669233],"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":[0.0018286305,0.00022525444,0.05328181,0.00083201757,0.00010533769,0.0004874618,0.00055411767,0.059290428,0.78660727,0.0036297305,0.000980672,0.09217728],"study_design_scores_gemma":[0.000027690523,0.000583271,0.020155117,0.000024844787,0.00004399992,0.00041104044,0.00008479209,0.108134665,0.86825746,0.00028777187,0.0019551362,0.000034123386],"about_ca_topic_score_codex":0.0028616537,"about_ca_topic_score_gemma":0.002000284,"teacher_disagreement_score":0.0028616537,"about_ca_system_score_codex":0.0019253157,"about_ca_system_score_gemma":0.0005070555,"threshold_uncertainty_score":0.013969243},"labels":[],"label_agreement":null},{"id":"W2054769210","doi":"10.1016/s0033-8389(05)70207-4","title":"SCREEN-FILM AND DIGITAL MAMMOGRAPHY","year":2000,"lang":"en","type":"review","venue":"Radiologic Clinics of North America","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":48,"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; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Image quality; Mammography; Digital mammography; Quality (philosophy); Medical physics; Computer vision; Artificial intelligence; Radiology; Image (mathematics); Breast cancer; Computer science; Cancer; Internal medicine","score_opus":0.031326148092019855,"score_gpt":0.3173599218141101,"score_spread":0.28603377372209027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054769210","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000880943,0.99821657,0.00006424761,0.00014563865,0.00021514395,0.0000066005477,0.00002023224,0.000006155146,0.0012373297],"genre_scores_gemma":[0.00056450587,0.99775213,0.0001301958,0.0002475935,0.00032208377,0.0000057854454,0.00003497682,0.0000011968718,0.00094143645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952996,0.00007340273,0.000104390405,0.000088786146,0.00017403837,0.000029388753],"domain_scores_gemma":[0.9987966,0.00048899406,0.0002692541,0.000041645082,0.00031577612,0.00008778384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072703743,0.0013935985,0.0022494497,0.008265596,0.00033610934,0.0014016639,0.0012652207,0.0013942351,0.007989582],"category_scores_gemma":[0.0023323116,0.00050822046,0.00058450364,0.008939378,0.0008233626,0.0025793912,0.0008682486,0.001418189,0.0035782617],"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":[0.0000586644,0.000084018844,0.000485917,0.018411556,0.00006679722,0.00036205322,0.000048416754,0.00015789211,0.0005601841,0.00069365144,0.041041266,0.9380296],"study_design_scores_gemma":[0.00004024552,0.00014892797,0.005136678,0.012988355,0.00052909204,0.0058426694,0.00018593374,0.00012812304,0.0004234226,0.0009292796,0.97360986,0.000037344256],"about_ca_topic_score_codex":0.0037464828,"about_ca_topic_score_gemma":0.009453474,"teacher_disagreement_score":0.008265596,"about_ca_system_score_codex":0.0007954422,"about_ca_system_score_gemma":0.0017406017,"threshold_uncertainty_score":0.026727855},"labels":[],"label_agreement":null},{"id":"W2055008713","doi":"10.1158/1055-9965.epi-06-0746","title":"Synchronized Seasonal Variations of Mammographic Breast Density and Plasma 25-Hydroxyvitamin D","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Jewish General Hospital; McGill University; Université Laval; The Quebec Population Health Research Network; Centre hospitalier universitaire de Québec","funders":"","keywords":"Breast cancer; Vitamin D and neurology; Medicine; Breast density; Mammography; Bayesian multivariate linear regression; Internal medicine; vitamin D deficiency; Endocrinology; Linear regression; Gynecology; Mathematics; Cancer; Statistics","score_opus":0.020090763100562178,"score_gpt":0.31844240625138,"score_spread":0.2983516431508178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055008713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863464,0.00017079074,0.00040325246,0.000016269332,0.0000050605795,0.000012930728,0.00040236468,0.000010558385,0.0003440446],"genre_scores_gemma":[0.9992435,0.000054114873,0.0002412499,0.000010634226,0.000006375764,0.000010008374,0.00031564277,0.000002931446,0.00011551841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982315,0.00005495223,0.000013253367,0.00005488252,0.000026650643,0.000027168973],"domain_scores_gemma":[0.99920315,0.00018737663,0.00032501473,0.000085417305,0.00012889771,0.00007018373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037323264,0.000093688795,0.00017882869,0.00034116718,0.00012840955,0.00026389645,0.00016755813,0.00016976279,0.0010513404],"category_scores_gemma":[0.0013948879,0.00016782564,0.00013600352,0.00044340186,0.00014432632,0.00013331826,0.00019932637,0.00013716094,0.00015475716],"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":[0.00037341545,0.00003696342,0.989588,0.000018741906,0.000090641915,0.000052733234,0.00011106749,0.000110774476,0.004946354,0.000023890267,0.00014414988,0.0045032646],"study_design_scores_gemma":[0.0000020981822,0.000038195256,0.999549,0.0000011215475,0.000009966603,0.000056003337,0.000028034734,0.000113296126,0.00011951515,0.00000987629,0.00007198038,9.794223e-7],"about_ca_topic_score_codex":0.0033181137,"about_ca_topic_score_gemma":0.004122394,"teacher_disagreement_score":0.0033181137,"about_ca_system_score_codex":0.00013080148,"about_ca_system_score_gemma":0.00014671416,"threshold_uncertainty_score":0.0065975785},"labels":[],"label_agreement":null},{"id":"W2057016865","doi":"10.1118/1.4748504","title":"Automatic atlas‐based segmentation of the breast in MRI for 3D breast volume computation","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Segmentation; Breast cancer; Breast MRI; Breast density; Artificial intelligence; Computer science; Image segmentation; Pattern recognition (psychology); Atlas (anatomy); Voxel; Medical imaging; Mammography; Computer vision; Medicine; Cancer","score_opus":0.010630023839738056,"score_gpt":0.2699445700028747,"score_spread":0.25931454616313665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057016865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023860382,0.00032012,0.97224605,0.00009459265,0.000023312414,0.00008866712,0.00025779413,0.0023438614,0.00076528173],"genre_scores_gemma":[0.17293662,0.00043573044,0.82350355,0.0001307775,0.000043765685,0.00024098254,0.0010370566,0.0005722699,0.0010992492],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992667,0.00021110818,0.000048674956,0.00009263464,0.0003432971,0.00003750041],"domain_scores_gemma":[0.9987251,0.0005931382,0.00017322603,0.00020699647,0.00026542725,0.00003609712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010413543,0.00048140073,0.00059869076,0.001833005,0.00034732942,0.0013239988,0.00083988794,0.0006928979,0.0019656331],"category_scores_gemma":[0.00433418,0.00049933675,0.0008376409,0.0011586004,0.00037150388,0.00059124833,0.00089676114,0.0004856245,0.0012758856],"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":[0.00028962074,0.00013167411,0.008688867,0.00047388644,0.00020238213,0.00021712806,0.00038007606,0.13476954,0.16189453,0.0061898082,0.0068943696,0.6798681],"study_design_scores_gemma":[0.000048061473,0.00019564595,0.014151984,0.000079655256,0.0000849027,0.0016378469,0.00012141424,0.87987983,0.080545075,0.009254035,0.01390813,0.00009348583],"about_ca_topic_score_codex":0.0022144513,"about_ca_topic_score_gemma":0.0034944392,"teacher_disagreement_score":0.0022144513,"about_ca_system_score_codex":0.0005453538,"about_ca_system_score_gemma":0.0012353543,"threshold_uncertainty_score":0.0065757036},"labels":[],"label_agreement":null},{"id":"W2057094301","doi":"10.1016/j.jval.2014.03.421","title":"Mammographic Density in Association with Smoking Status and Smoking Histories in a Sample of Postmenopausal Women: Results From a Cross-Sectional Study","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Breast cancer; Body mass index; Family history; Hormone replacement therapy (female-to-male); Anthropometry; Cross-sectional study; Menopause; Demography; Gynecology; Internal medicine; Risk factor; Obstetrics; Cancer; Oncology","score_opus":0.019237735544096368,"score_gpt":0.2757718721181258,"score_spread":0.25653413657402946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057094301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997274,0.000060185645,0.000035212335,0.000011567463,0.0000022882564,0.000004353452,0.000065605556,0.0000010441253,0.000092401475],"genre_scores_gemma":[0.99950016,0.00006364512,0.00005762115,0.000031684638,0.0000048303928,0.0000075253447,0.0001550692,0.0000019353354,0.00017750968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994367,0.0002049004,0.000054184624,0.00012199019,0.000100948695,0.00008126221],"domain_scores_gemma":[0.9988323,0.00033237456,0.0002373406,0.00012435799,0.00016842381,0.0003053428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089288224,0.00039704065,0.00057082286,0.0008381595,0.00093339256,0.0009123095,0.0005311316,0.00071795075,0.0011932311],"category_scores_gemma":[0.0024301254,0.00092230097,0.0005149527,0.0012538054,0.00065070455,0.00058832695,0.00062834163,0.0007864037,0.0003181718],"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":[0.00013723098,0.0000997444,0.9987225,0.0000033878712,0.000071200746,0.00006221098,0.0002286255,0.0000065026998,0.00035386105,0.0000054473626,0.000021031809,0.00028820714],"study_design_scores_gemma":[0.0000086304435,0.00012259005,0.9990876,0.0000015527932,0.00003908738,0.00016151101,0.00045831568,0.000036178644,0.00003295514,0.000005072337,0.00004414476,0.00000239156],"about_ca_topic_score_codex":0.0155048035,"about_ca_topic_score_gemma":0.018588826,"teacher_disagreement_score":0.0155048035,"about_ca_system_score_codex":0.00030552072,"about_ca_system_score_gemma":0.00029557277,"threshold_uncertainty_score":0.030829132},"labels":[],"label_agreement":null},{"id":"W2057247490","doi":"10.1023/a:1006326432340","title":"Mammographic density changes in perimenopausal and postmenopausal women: is effect of hormone replacement therapy predictable?","year":2000,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Hormone replacement therapy (female-to-male); Medicine; MAMMOGRAPHIC DENSITY; Menopause; Breast cancer; Postmenopausal women; Breast density; Bone density; Gynecology; Mammography; Internal medicine; Obstetrics; Cancer; Osteoporosis","score_opus":0.017901321356885193,"score_gpt":0.316782695086249,"score_spread":0.2988813737293638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057247490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722034,0.021671066,0.0004564203,0.0010568218,0.000105690786,0.000027878163,0.00040618138,0.000016999022,0.0040555894],"genre_scores_gemma":[0.9970079,0.0021726813,0.00012281603,0.00015753823,0.000115211486,0.0000055623104,0.00014289186,0.000004505656,0.00027088713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916816,0.00028052652,0.000094954,0.00012423337,0.00025234258,0.00007980844],"domain_scores_gemma":[0.99088436,0.005757883,0.001951669,0.0006038098,0.0004320206,0.00037038804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001976155,0.00020439306,0.00085583783,0.00049639447,0.00029690444,0.00057532743,0.0004295253,0.00066783687,0.0016482491],"category_scores_gemma":[0.017317744,0.00029003777,0.00045573906,0.0006830475,0.0007016938,0.0006511711,0.00038100613,0.0006417615,0.00028360498],"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":[0.0028767688,0.00014679378,0.9637969,0.00013301994,0.00021006232,0.00028214132,0.00020035726,0.00017226094,0.0008415894,0.00016487463,0.00023873064,0.030936416],"study_design_scores_gemma":[0.00002153466,0.00023854652,0.9985049,0.000014622657,0.000075713644,0.00025919056,0.00008793891,0.00014731548,0.00012745225,0.00013872703,0.00037973092,0.000004385584],"about_ca_topic_score_codex":0.0037646017,"about_ca_topic_score_gemma":0.0069921645,"teacher_disagreement_score":0.0037646017,"about_ca_system_score_codex":0.00037946235,"about_ca_system_score_gemma":0.0004936189,"threshold_uncertainty_score":0.010451078},"labels":[],"label_agreement":null},{"id":"W2058265485","doi":"10.1158/1055-9965.epi-06-0345","title":"Body Size, Mammographic Density, and Breast Cancer Risk","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":285,"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; Cancer Care Ontario; Women's College Hospital; BC Cancer Agency; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Body mass index; MAMMOGRAPHIC DENSITY; Confidence interval; Risk factor; Risk factors for breast cancer; Gynecology; Cancer; Logistic regression; Obstetrics; Mammography; Internal medicine; Oncology","score_opus":0.013284479076142755,"score_gpt":0.3075320363838768,"score_spread":0.294247557307734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058265485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948954,0.0029565147,0.00040579628,0.00031353437,0.000017064827,0.000013666176,0.00028960628,0.000016166394,0.0010923593],"genre_scores_gemma":[0.99866116,0.0005534575,0.00033528928,0.00003707806,0.000024490097,0.0000071679838,0.00020273043,0.0000018420724,0.00017681568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996731,0.00013748126,0.00001761298,0.000050783343,0.000091253845,0.00002964376],"domain_scores_gemma":[0.9979272,0.0007256031,0.00089336163,0.00007865883,0.00014399478,0.00023122953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066546537,0.00023843777,0.00015791858,0.00064819225,0.00014635995,0.0003134416,0.00025542107,0.00029686707,0.0024990684],"category_scores_gemma":[0.004098825,0.00016250831,0.0002113682,0.00058752846,0.00035705895,0.00017020851,0.00022199962,0.0003536673,0.00022838515],"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":[0.000060465107,0.000018434801,0.99772304,0.00001322008,0.000065031876,0.000028073282,0.000008388726,0.000059367012,0.00021303618,0.000017566837,0.00006409073,0.0017292908],"study_design_scores_gemma":[0.0000027882732,0.00003462444,0.99937904,0.000007302493,0.000026492069,0.00022618317,0.0000085834745,0.0001248808,0.000057824054,0.000035672983,0.00009534576,0.0000012642817],"about_ca_topic_score_codex":0.0036588449,"about_ca_topic_score_gemma":0.0024812673,"teacher_disagreement_score":0.0036588449,"about_ca_system_score_codex":0.00015383968,"about_ca_system_score_gemma":0.00021064933,"threshold_uncertainty_score":0.008360207},"labels":[],"label_agreement":null},{"id":"W2058298653","doi":"10.1007/s10549-011-1929-9","title":"Mammographic density, parity and age at first birth, and risk of breast cancer: an analysis of four case–control studies","year":2012,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; Sunnybrook Health Science Centre; Dalhousie University","funders":"National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Parity (physics); Breast cancer; Medicine; Obstetrics; Odds ratio; Logistic regression; Gynecology; Case-control study; Body mass index; Demography; Cancer; Internal medicine","score_opus":0.051893235375858174,"score_gpt":0.3585277819972429,"score_spread":0.30663454662138473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058298653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803156,0.0011935432,0.00040355022,0.000015569789,0.000009398155,0.00005466862,0.00013337824,0.0000050169783,0.00015332444],"genre_scores_gemma":[0.99843675,0.00041552435,0.00054701406,0.000022662909,0.000011952792,0.000062615014,0.00036151547,0.0000059285276,0.00013613356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99275523,0.004141218,0.0007018019,0.0012955928,0.00071309373,0.00039298556],"domain_scores_gemma":[0.98772407,0.007324359,0.0018039669,0.0018013805,0.000783569,0.0005626024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008325497,0.0013774696,0.0018629238,0.0027224168,0.0016374914,0.0016046751,0.0020687103,0.0016633668,0.0016851032],"category_scores_gemma":[0.01194673,0.0017645218,0.0027230964,0.0031541951,0.0019184,0.00077630224,0.0011219436,0.0010522538,0.0001785125],"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":[0.012855004,0.0008689868,0.9725299,0.0001940521,0.007258341,0.0005304411,0.00047685762,0.0002561456,0.0022385914,0.00008276698,0.0000998285,0.0026091493],"study_design_scores_gemma":[0.0011712511,0.0015735044,0.9901966,0.00002928897,0.00471219,0.00064310984,0.00035714477,0.0005485762,0.00039170237,0.00006281533,0.00027108868,0.000042609954],"about_ca_topic_score_codex":0.01610459,"about_ca_topic_score_gemma":0.009804315,"teacher_disagreement_score":0.01610459,"about_ca_system_score_codex":0.0009333676,"about_ca_system_score_gemma":0.0006681816,"threshold_uncertainty_score":0.04403001},"labels":[],"label_agreement":null},{"id":"W2058465188","doi":"10.1007/s00247-010-1904-3","title":"Pediatric digital radiography education for radiologic technologists: current state","year":2011,"lang":"en","type":"article","venue":"Pediatric Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Neuroradiology; Medical physics; Radiography; Digital radiography; Pediatric Radiology; Radiology; Ultrasound; Nuclear medicine; Current (fluid); Interventional radiology; Engineering; Neurology","score_opus":0.023582776056359833,"score_gpt":0.2659775025867654,"score_spread":0.24239472653040556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058465188","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029251356,0.77211183,0.0062522567,0.15546784,0.003828571,0.00017042234,0.00045167955,0.0003657415,0.032100298],"genre_scores_gemma":[0.2740069,0.6657114,0.01770893,0.027865343,0.0055218125,0.0003782876,0.0010842923,0.00006997757,0.0076530157],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9959818,0.001177153,0.0007179368,0.0006638047,0.0008674601,0.00059180526],"domain_scores_gemma":[0.9531139,0.021051858,0.004456805,0.0010706144,0.013828487,0.006478278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01520637,0.0005109529,0.00078972115,0.0015781199,0.0015863291,0.0056466484,0.002522475,0.0042890776,0.013818317],"category_scores_gemma":[0.017989334,0.00033965812,0.0005389574,0.002289772,0.0026906596,0.0055070436,0.0028896926,0.003334862,0.0019089917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034974926,0.0009164554,0.010977258,0.0040283687,0.000030586118,0.0000856078,0.00059245736,0.00027275388,0.0003937596,0.0055918754,0.022752853,0.9540083],"study_design_scores_gemma":[0.00036465947,0.002254269,0.07538988,0.040648673,0.00044704883,0.0015953903,0.008764352,0.002213241,0.0043102517,0.0064949053,0.8573865,0.00013075587],"about_ca_topic_score_codex":0.010364322,"about_ca_topic_score_gemma":0.011995641,"teacher_disagreement_score":0.01520637,"about_ca_system_score_codex":0.004492445,"about_ca_system_score_gemma":0.021658616,"threshold_uncertainty_score":0.0804199},"labels":[],"label_agreement":null},{"id":"W2058512035","doi":"10.1002/ijc.26205","title":"Mammographic density and risk of breast cancer by adiposity: An analysis of four case‐control studies","year":2011,"lang":"en","type":"review","venue":"International Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Dalhousie University","funders":"National Cancer Institute","keywords":"Medicine; Body mass index; Overweight; Odds ratio; Confounding; Breast cancer; Confidence interval; MAMMOGRAPHIC DENSITY; Internal medicine; Logistic regression; Obesity; Demography; Cancer; Mammography; Gynecology","score_opus":0.032145842771277286,"score_gpt":0.3660353039234543,"score_spread":0.333889461152177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058512035","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96751606,0.029152276,0.0021249664,0.00012289755,0.00003126301,0.00041523363,0.0003673087,0.000019126155,0.00025087196],"genre_scores_gemma":[0.99234617,0.004415146,0.0020838913,0.000088993365,0.000022316235,0.00036262628,0.00055256137,0.000009067312,0.00011906891],"study_design_codex":"observational","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98066634,0.010139597,0.0035888164,0.0022411458,0.0028029382,0.00056113215],"domain_scores_gemma":[0.95423853,0.030957289,0.008234193,0.00348091,0.0023955954,0.00069351745],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.022800267,0.0013127157,0.0030819117,0.0049000178,0.0011216118,0.002196326,0.0018833625,0.0014579305,0.0013896121],"category_scores_gemma":[0.038147047,0.0012506125,0.0075975955,0.004708091,0.00095004216,0.00052881194,0.0013245492,0.0009986017,0.00013325117],"study_design_candidate":"meta_analysis","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":[0.009226493,0.00032605068,0.913342,0.001894088,0.061343126,0.0010360688,0.00038409256,0.00048219482,0.0014078465,0.00010050191,0.0001568784,0.010300639],"study_design_scores_gemma":[0.0026138555,0.001944378,0.92044765,0.00045803617,0.0692602,0.0016555253,0.00035695513,0.0010925743,0.00066590763,0.00020803501,0.0012053867,0.00009158959],"about_ca_topic_score_codex":0.0070322864,"about_ca_topic_score_gemma":0.005081044,"teacher_disagreement_score":0.9969181,"about_ca_system_score_codex":0.0013114898,"about_ca_system_score_gemma":0.00092349196,"threshold_uncertainty_score":0.12058079},"labels":[],"label_agreement":null},{"id":"W2058609535","doi":"10.1118/1.1405844","title":"Investigation of a direct conversion flat panel imager for portal imaging","year":2001,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":25,"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 Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Detective quantum efficiency; Flat panel detector; Flat panel; Optics; Image quality; Detector; Image sensor; Pixel; Line (geometry); Medical imaging; X-ray detector; Physics; Materials science; Nuclear medicine; Computer science; Computer vision; Image (mathematics); Medicine; Artificial intelligence; Mathematics","score_opus":0.023189261892738178,"score_gpt":0.2577524912493906,"score_spread":0.23456322935665241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058609535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89359313,0.0010927479,0.09533372,0.00039416004,0.00007941991,0.0003634814,0.0002156717,0.0012566583,0.0076710912],"genre_scores_gemma":[0.88899857,0.0005979338,0.10109462,0.00013587109,0.00003139427,0.00008524142,0.00028128587,0.00014005769,0.008635072],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993374,0.00010803587,0.000016273827,0.00009119066,0.00038874688,0.000058331803],"domain_scores_gemma":[0.99832827,0.00067367096,0.00015886253,0.0002018483,0.000531026,0.00010625829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007443566,0.00030223368,0.00044820746,0.00025980148,0.00024491487,0.00055796915,0.0008765658,0.00059372856,0.0038185148],"category_scores_gemma":[0.0022766946,0.00022441914,0.00030339687,0.0002729253,0.0002667969,0.0005178928,0.0002053575,0.0004290033,0.00097502937],"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":[0.00023283713,0.00019106778,0.0014325862,0.0001590603,0.000025982727,0.00054418313,0.000117084004,0.0007162477,0.9701314,0.00086541346,0.00062752335,0.024956577],"study_design_scores_gemma":[0.000041592702,0.0028854916,0.008057809,0.000018049745,0.000051265488,0.0020854385,0.000078520505,0.010167711,0.96997267,0.000080251666,0.006526782,0.00003438744],"about_ca_topic_score_codex":0.000467928,"about_ca_topic_score_gemma":0.0005634148,"teacher_disagreement_score":0.0038185148,"about_ca_system_score_codex":0.00030434798,"about_ca_system_score_gemma":0.00035967663,"threshold_uncertainty_score":0.012774169},"labels":[],"label_agreement":null},{"id":"W2059241311","doi":"10.1117/12.535933","title":"Penalty on the detective quantum efficiency from off-axis incident x rays","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Quantum; Physics; Optics; Computer science; Quantum mechanics","score_opus":0.010614887427086573,"score_gpt":0.2286325957207677,"score_spread":0.2180177082936811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059241311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9110091,0.0010291034,0.069869965,0.00038710271,0.00007571727,0.00006213157,0.00022206757,0.00058303983,0.016761867],"genre_scores_gemma":[0.99315697,0.00028871474,0.0046007093,0.00009808395,0.000004372824,0.000023851815,0.00010986137,0.000069343696,0.0016481022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99917847,0.00015024898,0.000036672,0.00013348645,0.0003395251,0.00016159749],"domain_scores_gemma":[0.9958488,0.0031040995,0.000350834,0.00024357549,0.0003625061,0.000090169444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011969415,0.0005570955,0.000502257,0.0003166853,0.0003331482,0.0009895236,0.0006335809,0.00070832745,0.003157291],"category_scores_gemma":[0.0054068076,0.0004370287,0.0005478243,0.00040682044,0.0009745107,0.0008396007,0.0007742709,0.00085716,0.00047189463],"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":[0.0011197957,0.00040340255,0.033549402,0.00049125653,0.00017143805,0.0013063881,0.00046063558,0.68010604,0.23357485,0.012454562,0.0013960091,0.034966238],"study_design_scores_gemma":[0.00006965249,0.0007098387,0.0273896,0.0000798001,0.000081185884,0.0011110927,0.00021951528,0.77023035,0.19385673,0.0035263472,0.0026135258,0.000112443166],"about_ca_topic_score_codex":0.002348815,"about_ca_topic_score_gemma":0.0010903183,"teacher_disagreement_score":0.003157291,"about_ca_system_score_codex":0.00080032117,"about_ca_system_score_gemma":0.0006253884,"threshold_uncertainty_score":0.0105621815},"labels":[],"label_agreement":null},{"id":"W2060072399","doi":"10.1118/1.4907971","title":"Development of solid‐state avalanche amorphous selenium for medical imaging","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Analogic (Canada)","funders":"Brookhaven National Laboratory; Basic Energy Sciences; National Cancer Institute; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; U.S. Department of Energy","keywords":"Avalanche photodiode; Materials science; Optoelectronics; Avalanche diode; Thin-film transistor; Active matrix; Deposition (geology); Transistor; Optics; Layer (electronics); Detector; Voltage; Nanotechnology; Breakdown voltage; Electrical engineering; Physics","score_opus":0.02008841454171414,"score_gpt":0.2918983994999942,"score_spread":0.27180998495828007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060072399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9071149,0.0040683094,0.0815783,0.0003076329,0.00008290807,0.0002807152,0.0002988919,0.0004616111,0.005806642],"genre_scores_gemma":[0.8987089,0.0018684152,0.09471698,0.00008744675,0.00002169576,0.00010094744,0.00041631793,0.00005464862,0.0040247287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998839,0.00001405384,0.0000052100777,0.000028933544,0.00005891117,0.000008946055],"domain_scores_gemma":[0.9998543,0.00003178801,0.000029559662,0.000017197937,0.00004288941,0.000024149236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029780794,0.00034530656,0.00010284957,0.00019451967,0.000083098406,0.0002579764,0.00036188596,0.00042477407,0.0005807091],"category_scores_gemma":[0.000260869,0.00014575329,0.0001718068,0.00010677754,0.00017072898,0.00023437882,0.00016713879,0.00037327554,0.00031736595],"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":[0.000014666871,0.000016120977,0.00021464728,0.00003825219,0.0000049775085,0.00005043644,0.000011533345,0.00013195942,0.9945938,0.00017079848,0.00006363134,0.0046891333],"study_design_scores_gemma":[0.000008298525,0.0002766087,0.00079210737,0.0000047080644,0.0000046302744,0.00017064186,0.0000057541665,0.0012219053,0.99544215,0.00004220131,0.0020288974,0.0000020662928],"about_ca_topic_score_codex":0.00021809312,"about_ca_topic_score_gemma":0.00041427527,"teacher_disagreement_score":0.0005807091,"about_ca_system_score_codex":0.00021863967,"about_ca_system_score_gemma":0.00015940848,"threshold_uncertainty_score":0.0019426346},"labels":[],"label_agreement":null},{"id":"W2060501052","doi":"10.1088/0031-9155/50/13/012","title":"A search for optimal x-ray spectra in iodine contrast media mammography","year":2005,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"European Commission","keywords":"Figure of merit; Monte Carlo method; Materials science; Detector; Optics; Spectral line; Physics; Nuclear medicine; Analytical Chemistry (journal); Chemistry; Mathematics; Medicine","score_opus":0.11024668243541076,"score_gpt":0.3689143374376644,"score_spread":0.25866765500225364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060501052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8048415,0.003945958,0.18684623,0.00028092795,0.000011693582,0.000060162725,0.00007507128,0.0005128136,0.0034256978],"genre_scores_gemma":[0.8736112,0.00085034035,0.124508694,0.000038638547,0.000007231008,0.000024611316,0.000063318126,0.00010027698,0.00079572893],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997472,0.00007770683,0.000011610874,0.00004662109,0.00007800181,0.000038987535],"domain_scores_gemma":[0.9996101,0.00025241444,0.000055106284,0.00001017829,0.00005498733,0.000017281292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673195,0.00049169536,0.0005584677,0.0008487287,0.00027338654,0.0006597687,0.0003581506,0.00068103254,0.0010727338],"category_scores_gemma":[0.0021984212,0.0005314243,0.00031819698,0.0005237113,0.00031811537,0.0005101587,0.000391832,0.00018275913,0.00030313694],"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":[0.001881735,0.00021950065,0.014384172,0.0008390249,0.00011184555,0.0004138785,0.0002959789,0.2680389,0.5731809,0.0043821074,0.00052827713,0.1357236],"study_design_scores_gemma":[0.0002186822,0.0016161693,0.015069364,0.00013728846,0.00031521378,0.0009605619,0.0003169617,0.4510246,0.52246374,0.003938161,0.0038582531,0.00008100236],"about_ca_topic_score_codex":0.0008941568,"about_ca_topic_score_gemma":0.0011584536,"teacher_disagreement_score":0.0010727338,"about_ca_system_score_codex":0.00046738773,"about_ca_system_score_gemma":0.000489958,"threshold_uncertainty_score":0.0035886765},"labels":[],"label_agreement":null},{"id":"W2060741427","doi":"10.1016/j.carj.2009.11.010","title":"Sensitivity of a Direct Computer-aided Detection System in Full-field Digital Mammography for Detection of Microcalcifications Not Associated with Mass or Architectural Distortion","year":2010,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Medicine; Mammography; Sensitivity (control systems); Digital mammography; Radiology; Field (mathematics); Screening mammography; Distortion (music); Medical physics; Artificial intelligence; Breast cancer; Electronic engineering; Internal medicine; Telecommunications; Computer science; Cancer","score_opus":0.007943354134018801,"score_gpt":0.21705037838730237,"score_spread":0.20910702425328356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060741427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968094,0.0020689273,0.0004292658,0.000030920964,0.0000089813675,0.000018077366,0.00012426164,0.0000124467715,0.0004976281],"genre_scores_gemma":[0.9988481,0.00023457898,0.00067064783,0.000030428471,0.00000999603,0.000005407435,0.00015175472,0.0000012097822,0.000047856414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981311,0.0007090756,0.0002431912,0.00032756582,0.0004936936,0.000095396215],"domain_scores_gemma":[0.99157274,0.0054091346,0.001560045,0.00033414326,0.000890567,0.00023341044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022574174,0.00024470387,0.00032724065,0.0012132943,0.0001015904,0.00061883195,0.00031487594,0.00040999852,0.0008423445],"category_scores_gemma":[0.013583242,0.00025786748,0.00030812502,0.00057311135,0.0002512191,0.00030801544,0.0004006674,0.00015970759,0.00023778349],"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":[0.0006082298,0.000031125815,0.9790314,0.0000725596,0.00007169976,0.000091657115,0.000026231346,0.00012278795,0.0026103926,0.0000076162682,0.0000712045,0.017255148],"study_design_scores_gemma":[0.000055066597,0.0011376257,0.9878178,0.000041986692,0.00018379198,0.0047522467,0.00006664076,0.0018543825,0.003551131,0.000015829502,0.0005113699,0.000012075641],"about_ca_topic_score_codex":0.0010235889,"about_ca_topic_score_gemma":0.0017446763,"teacher_disagreement_score":0.0022574174,"about_ca_system_score_codex":0.00025666828,"about_ca_system_score_gemma":0.00022014558,"threshold_uncertainty_score":0.011938512},"labels":[],"label_agreement":null},{"id":"W2060889540","doi":"10.1118/1.4842435","title":"Effect of burst and recombination models for Monte Carlo transport of interacting carriers in a-Se x-ray detectors on Swank noise","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Monte Carlo method; Physics; Noise (video); Detector; Electron; Photon; Computational physics; Optics; Nuclear physics; Statistics","score_opus":0.010158572821306744,"score_gpt":0.264739901374807,"score_spread":0.2545813285535003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060889540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7027747,0.0007267154,0.2922689,0.00029059817,0.000043754357,0.000113556875,0.00013297176,0.0007637663,0.0028849994],"genre_scores_gemma":[0.97617924,0.00014327651,0.022862894,0.000053566873,0.0000062600548,0.000044949455,0.000060637893,0.000108511565,0.00054060656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943763,0.00022670544,0.000031818672,0.00007837683,0.00017211103,0.00005328874],"domain_scores_gemma":[0.9956886,0.0032320123,0.0003641634,0.00029213823,0.00033031573,0.00009270434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014764541,0.0006318011,0.00041916012,0.00039893578,0.0004169758,0.000720495,0.00096416636,0.00086259266,0.00068085344],"category_scores_gemma":[0.005796063,0.00028340067,0.0005659304,0.00028147854,0.0004185293,0.0010382343,0.00047196753,0.00058607146,0.000151334],"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":[0.00033625495,0.00008677225,0.005619899,0.00005276572,0.00004519485,0.00008949467,0.0000917771,0.9738945,0.008762822,0.003442848,0.00015522794,0.0074224486],"study_design_scores_gemma":[0.0000081034495,0.00005289639,0.000306209,0.0000044545245,0.000010727058,0.000025163323,0.000009056291,0.9935154,0.0056395787,0.00030484656,0.00011706815,0.0000066004973],"about_ca_topic_score_codex":0.005205181,"about_ca_topic_score_gemma":0.0038745904,"teacher_disagreement_score":0.005205181,"about_ca_system_score_codex":0.0015569904,"about_ca_system_score_gemma":0.00082271243,"threshold_uncertainty_score":0.011296809},"labels":[],"label_agreement":null},{"id":"W2060995705","doi":"10.1089/08927790150500962","title":"Imaging and the Internet","year":2001,"lang":"en","type":"review","venue":"Journal of Endourology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"The Internet; Medicine; Internet appliance; Medical physics; Modalities; Multimedia; Internet access; Internet privacy; World Wide Web; Computer science","score_opus":0.023114635691194072,"score_gpt":0.3145241867192666,"score_spread":0.2914095510280725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060995705","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001977698,0.9835818,0.00025945972,0.0016877265,0.00059816043,0.000007922025,0.0000101888,0.000018904135,0.013638063],"genre_scores_gemma":[0.002277082,0.9892932,0.0004963997,0.001342431,0.0012878717,0.000013786633,0.000023342183,0.0000044821263,0.005261399],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989754,0.00028340664,0.000083851904,0.0001047714,0.00048053352,0.000072146635],"domain_scores_gemma":[0.9987564,0.0006825946,0.00013883346,0.000057147037,0.00026251562,0.00010246833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083329703,0.00074075727,0.0009676527,0.0031216878,0.0007169091,0.0033187873,0.0008343037,0.002807175,0.010967871],"category_scores_gemma":[0.002340835,0.00025682835,0.0004271733,0.0034419093,0.0014230019,0.004416564,0.00113503,0.002266344,0.0052885986],"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":[0.000027144833,0.00005867423,0.0003822109,0.0037077533,0.000031090316,0.0007715632,0.00020468308,0.00017185882,0.000800292,0.013425237,0.062192388,0.91822714],"study_design_scores_gemma":[0.00000648416,0.000034966964,0.0010104637,0.003396534,0.000021089658,0.0050713555,0.00016784253,0.00004857651,0.00021514157,0.0074981307,0.9825152,0.0000142021745],"about_ca_topic_score_codex":0.0020629417,"about_ca_topic_score_gemma":0.0024369599,"teacher_disagreement_score":0.010967871,"about_ca_system_score_codex":0.0011797638,"about_ca_system_score_gemma":0.0016549126,"threshold_uncertainty_score":0.03669119},"labels":[],"label_agreement":null},{"id":"W2061456460","doi":"10.1002/ijc.25676","title":"Associations of overall and abdominal adiposity with area and volumetric mammographic measures among postmenopausal women","year":2010,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Canadian Partnership Against Cancer; University of British Columbia; Sunnybrook Hospital; Ontario Institute for Cancer Research; University of Alberta; Alberta Health Services; Dalhousie University","funders":"National Cancer Institute; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Canada Research Chairs; Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance","keywords":"Medicine; Waist; Body mass index; Anthropometry; Mammography; Breast cancer; MAMMOGRAPHIC DENSITY; Obesity; Nuclear medicine; Gynecology; Obstetrics; Internal medicine; Cancer","score_opus":0.007515688462125108,"score_gpt":0.2602889057185077,"score_spread":0.25277321725638263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061456460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855953,0.0010985646,0.000051316645,0.00001761441,0.0000048465045,0.000015111199,0.0000963559,0.0000025133554,0.00015401184],"genre_scores_gemma":[0.9993826,0.00023864627,0.000073798634,0.000023208908,0.000013304286,0.00002510769,0.00012334596,9.60555e-7,0.00011893566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995968,0.00016444984,0.00004073526,0.00007407975,0.00007687862,0.000047114547],"domain_scores_gemma":[0.99890435,0.00036783973,0.00041654857,0.00010974185,0.00006561734,0.00013586767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012442471,0.0003046978,0.0005907203,0.0003996262,0.00013852857,0.00034781004,0.00023904831,0.00040286622,0.0007689716],"category_scores_gemma":[0.0028374689,0.0003082252,0.00054810796,0.00043187887,0.00019642373,0.00016450827,0.0002486356,0.00039445976,0.00007596182],"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":[0.014544234,0.00033269988,0.9761019,0.00009860934,0.0011266529,0.00006203184,0.000057001787,0.00009664942,0.001287705,0.00002188183,0.00009073867,0.0061798603],"study_design_scores_gemma":[0.0003367404,0.0015446056,0.9972767,0.000008615655,0.0003749306,0.00006497768,0.000028967042,0.00013979821,0.00010456503,0.00003045341,0.00008616884,0.0000033690646],"about_ca_topic_score_codex":0.0014184443,"about_ca_topic_score_gemma":0.0021218501,"teacher_disagreement_score":0.0014184443,"about_ca_system_score_codex":0.00010656596,"about_ca_system_score_gemma":0.00013125513,"threshold_uncertainty_score":0.006580293},"labels":[],"label_agreement":null},{"id":"W2061911239","doi":"10.1118/1.2961529","title":"SU‐GG‐I‐131: Non‐Primary to Primary Ratio Measurements in a Digital Breast Tomosynthesis System","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Sunnybrook Health Science Centre","funders":"","keywords":"Tomosynthesis; Optics; Image quality; Flat panel detector; GLARE; Detector; Projection (relational algebra); Isotropy; Materials science; Mammography; Nuclear medicine; Physics; Medicine; Mathematics; Computer science; Breast cancer; Image (mathematics); Artificial intelligence","score_opus":0.01849157544612242,"score_gpt":0.22810172716319965,"score_spread":0.20961015171707723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061911239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96658194,0.0008487724,0.02972302,0.00003472411,0.000014663261,0.00007063554,0.00021223155,0.0004507751,0.002063236],"genre_scores_gemma":[0.94627696,0.0003115246,0.051501233,0.000061491955,0.000007803523,0.000042367523,0.00036595418,0.00007827885,0.001354429],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940014,0.00013342494,0.00003304521,0.00014812379,0.0002516323,0.00003365676],"domain_scores_gemma":[0.9996884,0.000116494804,0.00005559117,0.00004147172,0.00007614952,0.000022003544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008846152,0.00032709935,0.00021335226,0.0005374828,0.00013789044,0.00057585054,0.00044094597,0.00039937507,0.0009797105],"category_scores_gemma":[0.001258646,0.00031204856,0.00014929048,0.0004802205,0.0002455497,0.00032060317,0.0002748666,0.00019289987,0.00039890193],"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":[0.00039622572,0.000056872388,0.005704679,0.000105502506,0.000022117038,0.0000833259,0.000054913155,0.0005664654,0.9789265,0.000059418155,0.0000919781,0.013932057],"study_design_scores_gemma":[0.000038981012,0.0007860654,0.047213946,0.000011766616,0.00010362056,0.0010851023,0.00005715446,0.009595408,0.9397459,0.000050917828,0.0012875376,0.000023631637],"about_ca_topic_score_codex":0.00076418754,"about_ca_topic_score_gemma":0.0011400633,"teacher_disagreement_score":0.0009797105,"about_ca_system_score_codex":0.0003870449,"about_ca_system_score_gemma":0.00019005073,"threshold_uncertainty_score":0.0046783686},"labels":[],"label_agreement":null},{"id":"W2065348067","doi":"10.1117/12.912760","title":"Order of magnitude reduction of fluoroscopic x-ray dose","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":"Saskatchewan Health Research Foundation; Thunder Bay Regional Health Sciences Centre; Thunder Bay Regional Research Institute; Sunnybrook Hospital","funders":"Canadian Institutes of Health Research","keywords":"Fluoroscopy; Attenuator (electronics); Shutter; Detective quantum efficiency; Attenuation; Reduction (mathematics); Frame rate; Nuclear medicine; Computer science; Optics; Image quality; Materials science; Medicine; Physics; Mathematics; Radiology; Computer vision; Image (mathematics)","score_opus":0.010949889865500247,"score_gpt":0.24206537842177317,"score_spread":0.23111548855627292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065348067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32721213,0.005194177,0.63728946,0.0008660805,0.00020414642,0.00018074285,0.0009316297,0.0049022487,0.023219414],"genre_scores_gemma":[0.8893278,0.0014542693,0.102528594,0.0001640412,0.00003124669,0.00013227407,0.0006807244,0.00019430649,0.005486678],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996136,0.00005750861,0.000020256035,0.00007160154,0.00019721952,0.000039829578],"domain_scores_gemma":[0.9989594,0.00057759834,0.00012484525,0.00013894327,0.0001652676,0.00003389058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066828664,0.00045920524,0.0002398718,0.00019628069,0.00012673244,0.0005546583,0.00077507924,0.0008342762,0.004608999],"category_scores_gemma":[0.0015653736,0.00018965756,0.0002995338,0.00016639174,0.00016375192,0.00050888263,0.00038016113,0.0006015108,0.0011244708],"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":[0.0006017736,0.00030231345,0.0067828856,0.0007414047,0.000086942804,0.0001495681,0.00017375474,0.04265498,0.8390533,0.0066060075,0.0036589124,0.09918831],"study_design_scores_gemma":[0.000056786783,0.0011259187,0.017020361,0.000065961205,0.00011303626,0.0010335328,0.000059100632,0.20669764,0.7498803,0.0014968882,0.02239661,0.000053880496],"about_ca_topic_score_codex":0.0008569448,"about_ca_topic_score_gemma":0.00054020254,"teacher_disagreement_score":0.004608999,"about_ca_system_score_codex":0.00064921763,"about_ca_system_score_gemma":0.0003754769,"threshold_uncertainty_score":0.015418589},"labels":[],"label_agreement":null},{"id":"W2065716746","doi":"10.1148/radiol.15141686","title":"Reliability of Automated Breast Density Measurements","year":2015,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Breast density; Confidence interval; Limits of agreement; Standard deviation; Reliability (semiconductor); Mammography; Nuclear medicine; Statistics; Breast cancer; Mathematics; Internal medicine","score_opus":0.03653040638641855,"score_gpt":0.2853104057624373,"score_spread":0.24877999937601877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065716746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584803,0.0022548751,0.03464273,0.000094609815,0.00013829782,0.00016417478,0.0005627635,0.0005087501,0.0031535467],"genre_scores_gemma":[0.99168724,0.00012649708,0.0072748624,0.00004819137,0.000048601498,0.00007062883,0.00038117368,0.00004011014,0.00032279434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97429967,0.011940202,0.0012553062,0.0035829763,0.008545021,0.0003768187],"domain_scores_gemma":[0.94354695,0.02676787,0.009033755,0.007028726,0.0132276295,0.00039504736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014080233,0.000705417,0.00065055606,0.0013654954,0.000326139,0.0010865311,0.0011411433,0.0007709217,0.00057513936],"category_scores_gemma":[0.06284982,0.00039344464,0.00061935623,0.00070595136,0.0007936183,0.000531704,0.0009658727,0.00044545488,0.00049849],"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":[0.0025488941,0.00020832532,0.84687984,0.00040995234,0.0014894966,0.00010907188,0.0013387251,0.004272433,0.01101315,0.0003396855,0.0011219648,0.13026862],"study_design_scores_gemma":[0.00013668518,0.0015729113,0.9638657,0.00012732127,0.000476733,0.0010631048,0.00029738227,0.018735921,0.011118804,0.00047676527,0.0020421024,0.00008650852],"about_ca_topic_score_codex":0.001669665,"about_ca_topic_score_gemma":0.0015361689,"teacher_disagreement_score":0.014080233,"about_ca_system_score_codex":0.000487478,"about_ca_system_score_gemma":0.00041663824,"threshold_uncertainty_score":0.07446426},"labels":[],"label_agreement":null},{"id":"W2066183689","doi":"10.1002/pssb.200982007","title":"Amorphous selenium and its alloys from early xeroradiography to high resolution X‐ray image detectors and ultrasensitive imaging tubes","year":2009,"lang":"en","type":"article","venue":"physica status solidi (b)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Lakehead University; Thunder Bay Regional Research Institute; Cégep de Saint-Laurent; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dark current; Detective quantum efficiency; Optoelectronics; Detector; X-ray detector; Materials science; Photoconductivity; Electron; Quantum efficiency; Xeroradiography; Optics; Photodetector; Physics; Image quality; Computer science; Radiography","score_opus":0.005455995301125912,"score_gpt":0.2243196002009235,"score_spread":0.2188636048997976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066183689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6741625,0.13674186,0.08559076,0.0027216682,0.00091620215,0.00019599972,0.00035801402,0.0009586172,0.09835442],"genre_scores_gemma":[0.8385442,0.040125236,0.08348891,0.00041149717,0.00017553227,0.000058883994,0.00030313816,0.00014890128,0.03674375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990606,0.000015637921,0.000009554621,0.000020466874,0.000038044116,0.000010216191],"domain_scores_gemma":[0.99989283,0.00002946058,0.000012346431,0.000013260385,0.00004074309,0.000011333331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026976012,0.00028000562,0.00014876682,0.0004024927,0.00019645857,0.0007684416,0.00034203217,0.0003566038,0.0014373726],"category_scores_gemma":[0.00019570939,0.00022136087,0.00012242836,0.0003442324,0.0004133279,0.00059522607,0.0003326471,0.00045291317,0.0005597928],"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":[0.0001725746,0.000109242945,0.0020489355,0.00069818966,0.00002821766,0.00073340745,0.00030978967,0.0013694356,0.8164507,0.061072543,0.002211208,0.11479577],"study_design_scores_gemma":[0.00003048285,0.00061322073,0.0028900523,0.000119067794,0.000024094863,0.0012227679,0.00014025134,0.0029461528,0.8138908,0.0057669804,0.17233127,0.000024950565],"about_ca_topic_score_codex":0.00044744083,"about_ca_topic_score_gemma":0.00081707514,"teacher_disagreement_score":0.0014373726,"about_ca_system_score_codex":0.00038755534,"about_ca_system_score_gemma":0.0003117613,"threshold_uncertainty_score":0.0048084855},"labels":[],"label_agreement":null},{"id":"W2067300360","doi":"10.1118/1.3483095","title":"Cascaded analysis of signal and noise propagation through a heterogeneous breast model","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Breast Cancer Research Alliance","keywords":"Monte Carlo method; Noise (video); Noise power; Projection (relational algebra); Physics; Filter (signal processing); SIGNAL (programming language); Quantum noise; Transmission (telecommunications); Statistical physics; Optics; Algorithm; Computer science; Power (physics); Mathematics; Statistics; Telecommunications; Artificial intelligence; Image (mathematics)","score_opus":0.011643802410706568,"score_gpt":0.26108436790840633,"score_spread":0.24944056549769977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067300360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2065417,0.00015190091,0.78927463,0.00008925051,0.000013757087,0.000069580194,0.00007160279,0.00021210029,0.0035754638],"genre_scores_gemma":[0.93643415,0.00022940675,0.05932812,0.000034749748,0.000011612831,0.000065069595,0.00007600662,0.000038403145,0.0037825503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997211,0.00004995771,0.0000094146035,0.00005337359,0.00013817333,0.000027975593],"domain_scores_gemma":[0.9994727,0.00028270637,0.000072195486,0.000037181737,0.00011226049,0.000023009427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053442334,0.00072206324,0.00049305125,0.00061463244,0.00025121288,0.0005397049,0.0008322908,0.0006283967,0.0013114118],"category_scores_gemma":[0.0015791857,0.0003817076,0.000787101,0.00034804258,0.00057024776,0.0007239373,0.0004865892,0.00041541102,0.00017083694],"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":[0.000042775668,0.00002597897,0.00066841673,0.0000310662,0.000016680811,0.00015369493,0.00005988864,0.9784403,0.010543312,0.005696454,0.00009381968,0.0042275568],"study_design_scores_gemma":[0.000001424141,0.00000775872,0.000098105105,0.0000010046492,0.0000030971298,0.000013354036,0.0000018654665,0.9986135,0.000796816,0.00041406273,0.000046743662,0.0000022647635],"about_ca_topic_score_codex":0.0060681133,"about_ca_topic_score_gemma":0.00338484,"teacher_disagreement_score":0.0060681133,"about_ca_system_score_codex":0.0012134047,"about_ca_system_score_gemma":0.00077486323,"threshold_uncertainty_score":0.012065589},"labels":[],"label_agreement":null},{"id":"W2067755379","doi":"10.1117/12.595985","title":"&lt;title&gt;Secure thin client architecture for DICOM image analysis&lt;/title&gt;","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"","keywords":"DICOM; Computer science; Database; Online analytical processing; The Internet; Architecture; Software; Multitier architecture; World Wide Web; Operating system; Data warehouse","score_opus":0.0069717490917087805,"score_gpt":0.23171368599300246,"score_spread":0.22474193690129368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067755379","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008689278,0.0003775926,0.89381725,0.00077095174,0.00027613228,0.0007352062,0.0009845519,0.0546399,0.039709147],"genre_scores_gemma":[0.19954449,0.0012592451,0.61933476,0.0014885848,0.00038144548,0.001301404,0.0076879854,0.008352367,0.16064984],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988268,0.00016190045,0.00011491831,0.00014714965,0.0006142566,0.00013494265],"domain_scores_gemma":[0.997664,0.0002454406,0.0001234453,0.0006303271,0.0011169581,0.00021986786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014428914,0.00076640234,0.00048780016,0.0016349708,0.0008478129,0.0022650363,0.0026812765,0.0012293526,0.026047539],"category_scores_gemma":[0.0024110992,0.0006492275,0.0005032008,0.0013551539,0.00079944567,0.002485832,0.002207331,0.0012489348,0.018595485],"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":[0.0013036632,0.00026635782,0.003616841,0.00054163777,0.000084068015,0.0016061143,0.0010505241,0.0071015246,0.10814908,0.09119028,0.21403885,0.57105094],"study_design_scores_gemma":[0.00013418596,0.00035371588,0.004276847,0.0002070315,0.000077187135,0.0022619732,0.00029921968,0.31722352,0.182376,0.030664843,0.46181017,0.0003153578],"about_ca_topic_score_codex":0.0047061094,"about_ca_topic_score_gemma":0.0026297623,"teacher_disagreement_score":0.026047539,"about_ca_system_score_codex":0.0013175871,"about_ca_system_score_gemma":0.0017975706,"threshold_uncertainty_score":0.08713764},"labels":[],"label_agreement":null},{"id":"W2068433686","doi":"10.1118/1.1998385","title":"TU‐D‐I‐611‐06: A Direct, Empirical Method for X‐Ray Scatter Correction in Digital Radiography and Cone‐Beam CT","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Collimator; Image quality; Imaging phantom; Cone beam computed tomography; Optics; Radiography; Nuclear medicine; Detector; Projection (relational algebra); Physics; Contrast-to-noise ratio; Fluence; Mathematics; Medicine; Computer science; Artificial intelligence; Image (mathematics); Computed tomography; Radiology; Algorithm","score_opus":0.014202540483563744,"score_gpt":0.3064184262598231,"score_spread":0.29221588577625934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068433686","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021629741,0.00029316428,0.97508866,0.00007277032,0.000026065705,0.000060696253,0.000045725013,0.001314375,0.0014687852],"genre_scores_gemma":[0.14833069,0.0001828151,0.8472975,0.00006156681,0.000018103596,0.00011896141,0.00016653664,0.00034067742,0.003483093],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993863,0.0001675629,0.000030404595,0.000084502724,0.0003007398,0.000030527553],"domain_scores_gemma":[0.9989906,0.0003768937,0.00012320906,0.00014140882,0.00032586855,0.00004197762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010131423,0.0004633189,0.0003288729,0.0008416417,0.0003422507,0.0007179798,0.0009536199,0.00073947356,0.0029198185],"category_scores_gemma":[0.0038396502,0.00038143495,0.00039687377,0.0005748149,0.00055897573,0.0005193502,0.00072770944,0.00085148483,0.00093367137],"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":[0.00030415604,0.00026391158,0.0062497007,0.00026476465,0.000087902896,0.00015221449,0.00019609944,0.113192104,0.06915984,0.010505139,0.0031963438,0.79642785],"study_design_scores_gemma":[0.000026733684,0.00007112324,0.0022398802,0.000028785787,0.000013761991,0.00031423333,0.000019786636,0.9712705,0.019155923,0.0010481089,0.005781185,0.000030021367],"about_ca_topic_score_codex":0.003600372,"about_ca_topic_score_gemma":0.0048265764,"teacher_disagreement_score":0.003600372,"about_ca_system_score_codex":0.00079822965,"about_ca_system_score_gemma":0.0012895843,"threshold_uncertainty_score":0.009767771},"labels":[],"label_agreement":null},{"id":"W2068583133","doi":"10.1007/s10278-005-6705-0","title":"Image Quality Assurance of Soft Copy Display Systems","year":2005,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Luminance; Quality assurance; Computer science; Image quality; Calibration; Computer vision; Set (abstract data type); Protocol (science); Quality (philosophy); Artificial intelligence; Medical physics; Image (mathematics); Medicine; Mathematics","score_opus":0.012334668557684164,"score_gpt":0.29747009155293497,"score_spread":0.2851354229952508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068583133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5485925,0.009475126,0.4242301,0.0012214415,0.00034432858,0.00027801894,0.0006256557,0.0038094043,0.01142331],"genre_scores_gemma":[0.9477997,0.001054251,0.04627643,0.00022135003,0.000111978494,0.00004841537,0.00043074973,0.0004311899,0.0036259328],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9939746,0.0015252209,0.0003017023,0.00037609885,0.0036095558,0.00021275441],"domain_scores_gemma":[0.9571101,0.018925155,0.0030412772,0.0037183787,0.01670873,0.0004963174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043932665,0.00047311455,0.00047570578,0.0017600064,0.0006912789,0.003414693,0.0011121152,0.0011412362,0.007688906],"category_scores_gemma":[0.032749552,0.00033779565,0.00035479775,0.0014644113,0.00054469047,0.0016552821,0.0012078321,0.0007189983,0.0011071718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061405534,0.00023734548,0.045052946,0.0010652989,0.00021722224,0.00030618714,0.0012133676,0.019989284,0.24674127,0.0045071496,0.0050927564,0.6694367],"study_design_scores_gemma":[0.00041237194,0.0037367158,0.14682405,0.0004478253,0.0008165136,0.0033349372,0.00097128685,0.31357548,0.5074287,0.005854085,0.016278932,0.0003191551],"about_ca_topic_score_codex":0.002164602,"about_ca_topic_score_gemma":0.0009539188,"teacher_disagreement_score":0.007688906,"about_ca_system_score_codex":0.0011171247,"about_ca_system_score_gemma":0.00077714754,"threshold_uncertainty_score":0.025721967},"labels":[],"label_agreement":null},{"id":"W2068949217","doi":"10.1118/1.3065066","title":"Measurement of compressed breast thickness by optical stereoscopic photogrammetry","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Imaging phantom; Calibration; Paddle; Stereoscopy; Materials science; Photogrammetry; Biomedical engineering; Optics; Medicine; Nuclear medicine; Computer science; Computer vision; Mathematics; Physics; Breast cancer","score_opus":0.014232155741247848,"score_gpt":0.25827542174323465,"score_spread":0.2440432660019868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068949217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92572564,0.0008372961,0.068597995,0.000083174025,0.000043867014,0.00013568926,0.0005693936,0.00051927334,0.003487641],"genre_scores_gemma":[0.9527232,0.0005220509,0.045255985,0.000073085015,0.00002715773,0.000069721915,0.00026522894,0.000051692354,0.0010118658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999388,0.00009311525,0.000019818897,0.00006171993,0.00040517785,0.000032149434],"domain_scores_gemma":[0.99914753,0.00034076703,0.00011986463,0.00012275549,0.00023970036,0.000029500368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043169796,0.00030931822,0.00017258934,0.0013670204,0.00014893444,0.00027140343,0.0003807761,0.00026753638,0.001879351],"category_scores_gemma":[0.0023665428,0.0003344115,0.000166765,0.00065191626,0.00036653734,0.00032943775,0.0004113296,0.00024099808,0.00027124537],"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":[0.00069990533,0.000083510335,0.022623654,0.00023974433,0.000048806985,0.0002704476,0.00038745225,0.0021328174,0.8511182,0.0005379467,0.0006044726,0.12125312],"study_design_scores_gemma":[0.00011328771,0.0013619525,0.30084503,0.00007218387,0.000111559646,0.0045888904,0.00056384614,0.030037588,0.6575433,0.00088593183,0.0037497818,0.00012672543],"about_ca_topic_score_codex":0.0016267465,"about_ca_topic_score_gemma":0.002154114,"teacher_disagreement_score":0.001879351,"about_ca_system_score_codex":0.00020384422,"about_ca_system_score_gemma":0.00024726283,"threshold_uncertainty_score":0.006287098},"labels":[],"label_agreement":null},{"id":"W2069716978","doi":"10.1118/1.4736530","title":"Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine segmentation","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":215,"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":"University of Toronto; University of Pennsylvania; National Cancer Institute; National Institutes of Health; American Cancer Society; U.S. Department of Defense","keywords":"Mammography; Artificial intelligence; Computer science; Digital mammography; Cluster analysis; Breast cancer; Support vector machine; Thresholding; Pattern recognition (psychology); Segmentation; Computer vision; Medicine; Cancer; Image (mathematics)","score_opus":0.007082296463329534,"score_gpt":0.24233814944684254,"score_spread":0.235255852983513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069716978","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09349018,0.00022696287,0.90373933,0.00008485748,0.000023578548,0.00012661416,0.00011252708,0.0013514975,0.00084455864],"genre_scores_gemma":[0.31348985,0.00016541769,0.6849273,0.000044128774,0.00001652358,0.00012348221,0.0002208462,0.00007111751,0.0009413049],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994491,0.000051864965,0.000042205746,0.0001182127,0.00029569937,0.00004291604],"domain_scores_gemma":[0.9992679,0.00016193873,0.00011145064,0.00006361491,0.00037148513,0.000023577579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065512134,0.0004714221,0.00040015936,0.0022061877,0.00029391455,0.000637143,0.00084882986,0.00076367863,0.00068166817],"category_scores_gemma":[0.002195532,0.00027006457,0.00045805852,0.0008214129,0.0003529714,0.00042621786,0.00038273202,0.00033190424,0.0003304689],"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":[0.00028062385,0.00013161408,0.008192049,0.00021066437,0.0000730142,0.00014619596,0.00021288352,0.07090244,0.12134902,0.0016262946,0.0015102305,0.7953649],"study_design_scores_gemma":[0.000010554638,0.00009617814,0.0120423725,0.000029762277,0.000027380616,0.00030313435,0.00006244105,0.93549114,0.04937272,0.0010437863,0.0014738118,0.00004677573],"about_ca_topic_score_codex":0.0053216065,"about_ca_topic_score_gemma":0.0049130204,"teacher_disagreement_score":0.0053216065,"about_ca_system_score_codex":0.0006076168,"about_ca_system_score_gemma":0.0010002013,"threshold_uncertainty_score":0.010581255},"labels":[],"label_agreement":null},{"id":"W2069743849","doi":"10.1016/j.ygyno.2007.07.016","title":"Methodology of a real-time quality control for the multispectral digital colposcope (MDC)","year":2007,"lang":"en","type":"article","venue":"Gynecologic Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Multispectral image; Image quality; Computer vision; Artifact (error); Software; Computer science; Artificial intelligence; Image processing; Medicine; Quality (philosophy); Digital image processing; Medical physics; Image (mathematics)","score_opus":0.06291309608711848,"score_gpt":0.3967326545580914,"score_spread":0.33381955847097294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069743849","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02523087,0.00039867614,0.97115135,0.000082746745,0.00011514934,0.00040571552,0.00009986161,0.0012809242,0.0012347685],"genre_scores_gemma":[0.17538407,0.0003686161,0.82069844,0.00011778314,0.000079506426,0.00066626567,0.00021953936,0.00021472797,0.0022510628],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975916,0.00028864667,0.00010382761,0.0006470619,0.0012744899,0.000094392155],"domain_scores_gemma":[0.99653244,0.0007041047,0.00031673443,0.00054897735,0.0017469691,0.00015076362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022302638,0.0007377189,0.0004566873,0.0014865262,0.0007301376,0.0011293369,0.0010010679,0.0008842056,0.0034042832],"category_scores_gemma":[0.0037599248,0.00047329205,0.000407256,0.0006491922,0.00084008207,0.0004840684,0.0007982278,0.00082975597,0.0011268771],"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":[0.00033961414,0.0001331777,0.004548882,0.0004312619,0.00004660914,0.00014423556,0.00040675458,0.001726323,0.79414314,0.0027316038,0.0010430473,0.19430538],"study_design_scores_gemma":[0.00008515494,0.0014936047,0.026753256,0.00009355349,0.00021938734,0.001841728,0.00022796754,0.060851496,0.87729806,0.0015449715,0.029391132,0.0001997312],"about_ca_topic_score_codex":0.001765457,"about_ca_topic_score_gemma":0.0018370601,"teacher_disagreement_score":0.0034042832,"about_ca_system_score_codex":0.0006088498,"about_ca_system_score_gemma":0.0020364956,"threshold_uncertainty_score":0.011794865},"labels":[],"label_agreement":null},{"id":"W2070684046","doi":"10.1118/1.3611720","title":"SU‐E‐I‐146: An X‐Ray Scatter Technique for Extracting Differential Linear Scattering Coefficients","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Laurentian University","funders":"","keywords":"Optics; Physics; Scattering; Photon; Degree (music)","score_opus":0.035165340065858294,"score_gpt":0.2966826301794671,"score_spread":0.2615172901136088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070684046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24722858,0.004021011,0.739676,0.00013471892,0.00010758495,0.00015820857,0.000858289,0.0026628966,0.005152711],"genre_scores_gemma":[0.288791,0.002451434,0.695138,0.000110413304,0.000046356316,0.00030188038,0.0021831137,0.00045395776,0.010523938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993363,0.00009640815,0.00004830465,0.00016022538,0.00031736188,0.00004138909],"domain_scores_gemma":[0.99933606,0.0001653471,0.00013259404,0.000111526824,0.00021090913,0.00004354772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010569984,0.00080048625,0.00044547694,0.0015635048,0.0003032306,0.0006034117,0.0006214858,0.0006561868,0.0019600797],"category_scores_gemma":[0.00106485,0.0005782193,0.00038485628,0.0011818013,0.0004340275,0.0005779747,0.00032138047,0.00078834407,0.0011864563],"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":[0.00008323638,0.00002228682,0.0012242682,0.0001286784,0.000014641374,0.000043947315,0.000034523076,0.0002730158,0.9797594,0.0004127329,0.00019027284,0.017812928],"study_design_scores_gemma":[0.000009919137,0.0001567458,0.008975734,0.000019628002,0.000031395055,0.0006227195,0.00002310156,0.0060254512,0.97738034,0.00015084092,0.006578371,0.00002585725],"about_ca_topic_score_codex":0.00065545173,"about_ca_topic_score_gemma":0.0018289507,"teacher_disagreement_score":0.0019600797,"about_ca_system_score_codex":0.00037375803,"about_ca_system_score_gemma":0.0004781751,"threshold_uncertainty_score":0.006557107},"labels":[],"label_agreement":null},{"id":"W2071327420","doi":"10.1016/j.echo.2003.12.006","title":"The effect of bandwidth on the quality of transmitted pediatric echocardiograms","year":2004,"lang":"en","type":"article","venue":"Journal of the American Society of Echocardiography","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Medicine; Image quality; Transmission (telecommunications); Bandwidth (computing); Image (mathematics); Computer vision; Computer science; Telecommunications","score_opus":0.010452739161643097,"score_gpt":0.27415751674656097,"score_spread":0.2637047775849179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071327420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892755,0.0012875922,0.0075144093,0.00013855314,0.000027227783,0.0000086872815,0.00014635077,0.00009280867,0.0015088337],"genre_scores_gemma":[0.9973356,0.0004372235,0.0016783818,0.00003722742,0.00002824649,0.000006696109,0.000107808984,0.00006331463,0.00030538085],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99845886,0.0005975312,0.00009470036,0.00014202778,0.0005258957,0.00018104078],"domain_scores_gemma":[0.9447883,0.045980055,0.002762145,0.0017750824,0.0040708682,0.0006235021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013662577,0.00024201561,0.00037241806,0.000615757,0.00021800268,0.00072229624,0.0003188918,0.00070522446,0.0023625933],"category_scores_gemma":[0.030710928,0.0003068931,0.00030219337,0.00052417774,0.0004145425,0.00076121517,0.00045689978,0.0006360075,0.00038392117],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.017667407,0.0005731333,0.24517892,0.00060666795,0.0004968927,0.0023815837,0.0011996765,0.019952375,0.50959474,0.0011313488,0.0008184333,0.20039883],"study_design_scores_gemma":[0.00017323237,0.0051010484,0.6406709,0.00021370788,0.0010466964,0.010301923,0.0007427266,0.02785388,0.31075493,0.00084142137,0.0021818501,0.00011763549],"about_ca_topic_score_codex":0.0014081857,"about_ca_topic_score_gemma":0.0009759895,"teacher_disagreement_score":0.0023625933,"about_ca_system_score_codex":0.00041071422,"about_ca_system_score_gemma":0.00027245708,"threshold_uncertainty_score":0.0079036355},"labels":[],"label_agreement":null},{"id":"W2072794239","doi":"10.1007/s11912-001-0083-7","title":"Mammographic densities as a marker of human breast cancer risk and their use in chemoprevention","year":2001,"lang":"en","type":"review","venue":"Current Oncology Reports","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Tamoxifen; Breast cancer; Mammography; Oncology; Breast density; Internal medicine; Hormone replacement therapy (female-to-male); Risk factors for breast cancer; Breast tissue; Mammary gland; MAMMOGRAPHIC DENSITY; Cancer; Gynecology","score_opus":0.0604932997511074,"score_gpt":0.3885144379223798,"score_spread":0.3280211381712724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072794239","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034474765,0.9987262,0.00017189505,0.00015317224,0.0000879003,0.0000046461705,0.00002418192,0.000005070396,0.0004822178],"genre_scores_gemma":[0.0021912346,0.99700433,0.00028190977,0.00009574891,0.00015476813,0.0000061709375,0.000025099831,7.55747e-7,0.00023998521],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995827,0.00008589373,0.00007620133,0.000069563765,0.00016989888,0.000015754287],"domain_scores_gemma":[0.9981536,0.0011581924,0.00031059,0.000037444177,0.00029410445,0.00004599142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011031586,0.00080744777,0.0020525488,0.0033980766,0.0001705609,0.0010088326,0.0008795023,0.000886812,0.0019952005],"category_scores_gemma":[0.002460081,0.000363061,0.0004913297,0.0040644105,0.0006224189,0.0008860134,0.00034072725,0.00097372883,0.001158473],"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":[0.00012109098,0.00009792555,0.0030393824,0.011875091,0.00018808905,0.00022309771,0.00006571727,0.00029835445,0.0010025051,0.0010239678,0.0060983123,0.9759665],"study_design_scores_gemma":[0.00011344565,0.0009563988,0.034552444,0.015005306,0.0023209606,0.008926648,0.00044955575,0.0007604554,0.0040980973,0.0025594926,0.93013823,0.000119079516],"about_ca_topic_score_codex":0.0018846258,"about_ca_topic_score_gemma":0.0029573543,"teacher_disagreement_score":0.0033980766,"about_ca_system_score_codex":0.0003698873,"about_ca_system_score_gemma":0.0009060515,"threshold_uncertainty_score":0.0066746473},"labels":[],"label_agreement":null},{"id":"W2072819311","doi":"10.1118/1.2962868","title":"TH‐C‐332‐03: Noise Power Properties of a Cone‐Beam CT System for Breast Cancer Detection","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Noise (video); Cone beam computed tomography; Optics; Noise power; Image noise; Physics; Quantum noise; Interpolation (computer graphics); Iterative reconstruction; Mathematics; Power (physics); Computed tomography; Medicine; Image (mathematics); Computer vision; Computer science","score_opus":0.015845521051168845,"score_gpt":0.23653476043000887,"score_spread":0.22068923937884002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072819311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8685208,0.0020917896,0.12432288,0.00019811836,0.000038902628,0.00015192144,0.00038128378,0.0008255003,0.0034687275],"genre_scores_gemma":[0.9567242,0.00043729748,0.040551346,0.00009565269,0.000016964921,0.00005416756,0.0004153298,0.00014624014,0.0015587832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994885,0.00008762701,0.000016096945,0.00008974688,0.00029691402,0.000021117145],"domain_scores_gemma":[0.99833566,0.00069543504,0.00012862182,0.00009839531,0.00067505456,0.00006683944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011272088,0.00041569167,0.00025864973,0.00059942185,0.00027574852,0.0005227293,0.00047370707,0.00056130457,0.0017509568],"category_scores_gemma":[0.002853781,0.00026787355,0.00018472766,0.00046658356,0.00032613936,0.0005579883,0.00020359173,0.00024590344,0.0003302245],"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":[0.0012495499,0.00009495461,0.022960862,0.0003453484,0.00004782565,0.00035392994,0.00016446647,0.006411607,0.8952478,0.00043361777,0.000734992,0.07195512],"study_design_scores_gemma":[0.000049763006,0.0015617368,0.12563847,0.00007767036,0.00015291569,0.0035643948,0.00007509692,0.13896586,0.7254182,0.0002957983,0.004087817,0.000112354086],"about_ca_topic_score_codex":0.0023677128,"about_ca_topic_score_gemma":0.0022553555,"teacher_disagreement_score":0.0023677128,"about_ca_system_score_codex":0.00059140247,"about_ca_system_score_gemma":0.00047377078,"threshold_uncertainty_score":0.0059613585},"labels":[],"label_agreement":null},{"id":"W2073080006","doi":"10.1118/1.4740191","title":"Sci—Fri AM: Imaging — 05: Cone‐beam computed tomography for breast biopsy analysis: Simulations","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Laurentian University","funders":"","keywords":"Cone beam computed tomography; Imaging phantom; Computed radiography; Nuclear medicine; Materials science; Optics; Medical imaging; Magnification; X-ray; Cylinder; Contrast (vision); Detective quantum efficiency; Biopsy; Physics; Medicine; Computed tomography; Radiology; Image quality; Geometry; Mathematics; Computer science; Artificial intelligence","score_opus":0.013868626807930738,"score_gpt":0.28084593899620997,"score_spread":0.26697731218827925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073080006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3266815,0.0016570775,0.44631726,0.0026486171,0.0005221244,0.00074790156,0.010009432,0.007882758,0.20353326],"genre_scores_gemma":[0.816092,0.00097480917,0.16148917,0.00044635803,0.000089330715,0.0006817071,0.0030432953,0.0010208004,0.016162561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999136,0.00002680618,0.0000023896282,0.000007070308,0.0000376643,0.000012479544],"domain_scores_gemma":[0.9995653,0.0002645763,0.00003532013,0.000029586365,0.00008045269,0.000024827668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005051587,0.00039583564,0.00024184122,0.00027606892,0.00018272568,0.00039690026,0.00077490974,0.00081810233,0.01295861],"category_scores_gemma":[0.001681562,0.00020478653,0.0004551935,0.0002385649,0.00024065642,0.00033224234,0.00034278654,0.0003319403,0.0015318722],"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":[0.00012972823,0.000115545976,0.0016663066,0.00019378195,0.00003330159,0.00014817888,0.000055390254,0.9644907,0.0043187393,0.0059551103,0.009165614,0.013727531],"study_design_scores_gemma":[0.000027951983,0.000015943777,0.0004202413,0.000016281638,0.0000037476955,0.000036679485,0.0000058791306,0.9949774,0.001050455,0.00064918515,0.0027925258,0.0000035899627],"about_ca_topic_score_codex":0.009437457,"about_ca_topic_score_gemma":0.0048895637,"teacher_disagreement_score":0.01295861,"about_ca_system_score_codex":0.00045493955,"about_ca_system_score_gemma":0.0005090648,"threshold_uncertainty_score":0.043350875},"labels":[],"label_agreement":null},{"id":"W2073435168","doi":"10.1117/12.911627","title":"Impact of image acquisition timing on image quality for dual energy contrast-enhanced breast tomosynthesis","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Image quality; Tomosynthesis; Iterative reconstruction; Contrast (vision); Artificial intelligence; Computer science; Computer vision; Energy (signal processing); Signal-to-noise ratio (imaging); Distortion (music); Contrast-to-noise ratio; Mammography; Image (mathematics); Mathematics; Breast cancer; Medicine; Statistics; Telecommunications","score_opus":0.013305351629592935,"score_gpt":0.2720952104860982,"score_spread":0.25878985885650524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073435168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91635394,0.0031960579,0.0781265,0.00022712808,0.000089513494,0.00013262991,0.00025904182,0.00050183677,0.0011134289],"genre_scores_gemma":[0.8842262,0.0017911384,0.11167878,0.00021235121,0.000044094726,0.000087154076,0.000576912,0.00061186287,0.00077152],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9988117,0.0004016012,0.00014778365,0.00019769737,0.00035805808,0.0000832262],"domain_scores_gemma":[0.9932087,0.004536137,0.00083968655,0.0004330881,0.0008355885,0.00014686176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026260093,0.00050187315,0.00044628794,0.00046478288,0.00019158196,0.0010744137,0.0003840789,0.00062304083,0.0013267753],"category_scores_gemma":[0.013581825,0.00041933695,0.00033946824,0.00043931958,0.00038473745,0.0006823771,0.00052364165,0.0004771263,0.00022805177],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005501736,0.0001905357,0.007892806,0.00056246703,0.00011417209,0.00042621273,0.00020905229,0.0109462,0.92353123,0.00025836728,0.00017695517,0.050190236],"study_design_scores_gemma":[0.0002029722,0.004382935,0.053967968,0.00009890584,0.00043915474,0.0023300524,0.00016597434,0.036982514,0.8992051,0.00033165046,0.0017693633,0.00012333508],"about_ca_topic_score_codex":0.0005490834,"about_ca_topic_score_gemma":0.00052483316,"teacher_disagreement_score":0.0026260093,"about_ca_system_score_codex":0.00026761828,"about_ca_system_score_gemma":0.0003683334,"threshold_uncertainty_score":0.013887882},"labels":[],"label_agreement":null},{"id":"W2073548321","doi":"10.1016/s0168-9002(01)01056-7","title":"Digital mammography—detector considerations and new applications","year":2001,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Mammography; Digital mammography; Detector; Computer science; Key (lock); Medical physics; Software; Cancer detection; Breast cancer; Medicine; Telecommunications; Cancer; Computer security","score_opus":0.060843553885004925,"score_gpt":0.3791723864231603,"score_spread":0.31832883253815536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073548321","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011196505,0.71168554,0.11311074,0.086652614,0.004379677,0.000094161594,0.00030514412,0.0006580913,0.07191755],"genre_scores_gemma":[0.26455277,0.5033738,0.14552836,0.027364261,0.020455144,0.000283235,0.0003540069,0.00038407906,0.03770426],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817514,0.00059248664,0.00017760618,0.00036012125,0.0005856007,0.00010907556],"domain_scores_gemma":[0.9945358,0.003716925,0.00019465674,0.00030476847,0.00096527033,0.00028254782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054290723,0.00092654634,0.0014109503,0.0028197446,0.0008170183,0.0050507598,0.0042170975,0.009338753,0.008778992],"category_scores_gemma":[0.0070813787,0.0013636507,0.0009069809,0.0018095796,0.0032845112,0.007802436,0.001878294,0.004484121,0.0024793104],"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":[0.0010142227,0.00033294826,0.003985394,0.0029833764,0.000100341706,0.002360627,0.0002971088,0.0036597655,0.008410741,0.4521171,0.03471238,0.49002606],"study_design_scores_gemma":[0.00014836343,0.00071679894,0.0030159517,0.0017212759,0.00022661332,0.020724656,0.00039891418,0.012573862,0.010588561,0.18938546,0.7602739,0.00022571949],"about_ca_topic_score_codex":0.0007580814,"about_ca_topic_score_gemma":0.001524295,"teacher_disagreement_score":0.009338753,"about_ca_system_score_codex":0.0022866065,"about_ca_system_score_gemma":0.0012194854,"threshold_uncertainty_score":0.029368639},"labels":[],"label_agreement":null},{"id":"W2073979258","doi":"10.1118/1.4881142","title":"Optimizing cone beam CT scatter estimation in <b> <tt>egs_cbct</tt> </b> for a clinical and virtual chest phantom","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"H. Lundbeck A/S; Odense Universitetshospital; Lundbeckfonden; Strategiske Forskningsråd","keywords":"Imaging phantom; Cone beam ct; Cone beam computed tomography; Nuclear medicine; Medical imaging; Dosimetry; Medical physics; Image-guided radiation therapy; Computed tomography; Medicine; Physics; Radiology; Optics","score_opus":0.026682143655660327,"score_gpt":0.3274734489939693,"score_spread":0.30079130533830895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073979258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32716784,0.000263972,0.66601944,0.00018624986,0.000017248416,0.00013722142,0.00021035792,0.0024005387,0.0035972057],"genre_scores_gemma":[0.76919615,0.00012487713,0.22876737,0.000076554425,0.000003888792,0.0000857979,0.00027954322,0.00047334682,0.0009925243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982893,0.000050533443,0.000010682408,0.000025443032,0.00007155676,0.000012856279],"domain_scores_gemma":[0.9996909,0.00014252454,0.00004321329,0.000027417213,0.00008345514,0.000012531512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005946185,0.00063937175,0.00017066258,0.00032533563,0.00015049879,0.0005075294,0.0004012643,0.00036664095,0.0008436876],"category_scores_gemma":[0.0015679231,0.00023296765,0.00025216315,0.00024321082,0.00018944933,0.00025513265,0.00027028917,0.00019340946,0.00031236737],"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":[0.00039478496,0.00018806811,0.008299628,0.00022496318,0.00004709143,0.00025967808,0.00018284212,0.67306226,0.2390097,0.002189981,0.0013787539,0.07476219],"study_design_scores_gemma":[0.000031062063,0.00011396073,0.0033774707,0.00002159216,0.00002478435,0.00015990912,0.000024392288,0.87481046,0.119582914,0.00050085416,0.0013309479,0.000021710637],"about_ca_topic_score_codex":0.0029353357,"about_ca_topic_score_gemma":0.0038773445,"teacher_disagreement_score":0.0029353357,"about_ca_system_score_codex":0.0004824913,"about_ca_system_score_gemma":0.00080864393,"threshold_uncertainty_score":0.0058365464},"labels":[],"label_agreement":null},{"id":"W2074577324","doi":"10.1117/12.2043770","title":"Amorphous selenium direct detection CMOS digital x-ray imager with 25 micron pixel pitch","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials; Dalsa Corporation; University of Waterloo","funders":"","keywords":"Pixel; Computer science; CMOS; Dot pitch; Amorphous solid; Optoelectronics; Optics; Materials science; Artificial intelligence; Physics","score_opus":0.004918141457777776,"score_gpt":0.19793481626435777,"score_spread":0.19301667480658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074577324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6316666,0.0024069238,0.3421052,0.00034107032,0.00023271232,0.0005758156,0.0014841574,0.010231022,0.010956532],"genre_scores_gemma":[0.49921778,0.00057599205,0.47813413,0.00021716826,0.000041578944,0.00021102767,0.00074893184,0.00017546765,0.020677883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969494,0.000017724558,0.00001866318,0.00008328978,0.00015990273,0.00002541724],"domain_scores_gemma":[0.9997427,0.00005609898,0.00005804182,0.000041277468,0.00007188456,0.000029995965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027142154,0.00033971076,0.000359619,0.00022343767,0.00011132119,0.00040929328,0.000722301,0.00031457888,0.00422621],"category_scores_gemma":[0.0003708947,0.00019546752,0.00017117236,0.00014109348,0.0001593673,0.00036100572,0.0002820123,0.0002731372,0.001620788],"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":[0.000090480724,0.00003122752,0.00058739225,0.00006861238,0.000013297466,0.00015772821,0.000024610357,0.0005640253,0.9812052,0.00046548736,0.00075204414,0.016039722],"study_design_scores_gemma":[0.000045083896,0.00053180614,0.002671026,0.000010102456,0.00002976081,0.0005807054,0.000021248696,0.012164722,0.9717112,0.00008206088,0.012130582,0.00002165273],"about_ca_topic_score_codex":0.0007395606,"about_ca_topic_score_gemma":0.0014286138,"teacher_disagreement_score":0.00422621,"about_ca_system_score_codex":0.00038739725,"about_ca_system_score_gemma":0.00023686934,"threshold_uncertainty_score":0.0141381025},"labels":[],"label_agreement":null},{"id":"W2074745060","doi":"10.1007/s10278-002-5016-y","title":"Planning an Enterprisewide PACS: The Centre Hospitalier de l'Universit� de Montr�al Experience","year":2002,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Vendor; Process (computing); Operations management; Computer science; Engineering management; Process management; Business; Engineering","score_opus":0.011311822989401647,"score_gpt":0.2525116588769681,"score_spread":0.24119983588756644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074745060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81643295,0.0037324785,0.009872207,0.10160882,0.0006871996,0.00037097276,0.00093479536,0.0005138407,0.06584669],"genre_scores_gemma":[0.9532129,0.0023744206,0.02325868,0.0051999916,0.0005455998,0.00013555407,0.0006806684,0.0002044386,0.014387683],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99560565,0.0013113366,0.00022692584,0.00043523184,0.0009134094,0.0015074447],"domain_scores_gemma":[0.98584574,0.0013726228,0.00056472444,0.0005530852,0.0015326518,0.010131249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004847723,0.00046726147,0.00021569015,0.000734596,0.004343675,0.0058320872,0.0015096988,0.0024531283,0.021280667],"category_scores_gemma":[0.0066547794,0.0005966162,0.0003876599,0.0011817376,0.0011393321,0.003531942,0.0039484287,0.0031332744,0.0015029036],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001431508,0.004263461,0.349242,0.00041314843,0.00013935585,0.026453916,0.016235314,0.007883418,0.006010988,0.030134762,0.10474251,0.45304963],"study_design_scores_gemma":[0.00051684974,0.0030135894,0.4205076,0.0010973571,0.00015153993,0.0346983,0.08939395,0.012056007,0.004774739,0.012839558,0.42049918,0.0004512829],"about_ca_topic_score_codex":0.025135852,"about_ca_topic_score_gemma":0.064610966,"teacher_disagreement_score":0.9748641,"about_ca_system_score_codex":0.0069417767,"about_ca_system_score_gemma":0.022431474,"threshold_uncertainty_score":0.07119095},"labels":[],"label_agreement":null},{"id":"W2075130550","doi":"10.1118/1.4811328","title":"Investigation of statistical iterative reconstruction for dedicated breast CT","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"St. Stephen's University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Iterative reconstruction; Mammography; Imaging phantom; Detector; Computer science; Microcalcification; Algorithm; Artificial intelligence; Tomography; Mathematics; Computer vision; Breast cancer; Optics; Physics; Medicine","score_opus":0.014650526767383132,"score_gpt":0.2566228841900151,"score_spread":0.24197235742263198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075130550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19695795,0.000221416,0.8004336,0.00010140789,0.000008050278,0.00006125407,0.000034144236,0.0003726165,0.0018096275],"genre_scores_gemma":[0.7644133,0.0001929405,0.23451234,0.00002979674,0.000006421108,0.000057266097,0.000103805025,0.000100885605,0.0005833295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994568,0.00022345483,0.000021912643,0.000046651352,0.00022578974,0.00002538827],"domain_scores_gemma":[0.99782664,0.0014103954,0.00019082421,0.00019363062,0.0003296722,0.000048800586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012746486,0.000294947,0.00024868373,0.00023961099,0.00011042611,0.0003540473,0.0004713666,0.00035326963,0.00058214215],"category_scores_gemma":[0.0051577706,0.0002032238,0.0003621731,0.0002337602,0.00034212883,0.00029114346,0.0004529743,0.00031136535,0.00013778912],"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":[0.00035277213,0.00012875497,0.0073189866,0.00028189263,0.000083316336,0.00030991633,0.00021158901,0.78815264,0.08641526,0.008644604,0.00032481836,0.107775405],"study_design_scores_gemma":[0.0000066046755,0.00010619407,0.0008219522,0.000007850161,0.00000950861,0.00018155307,0.0000097350285,0.9830232,0.01493054,0.0005100241,0.0003861153,0.000006622348],"about_ca_topic_score_codex":0.00074553647,"about_ca_topic_score_gemma":0.00060448755,"teacher_disagreement_score":0.0012746486,"about_ca_system_score_codex":0.0003035068,"about_ca_system_score_gemma":0.0005403828,"threshold_uncertainty_score":0.006741047},"labels":[],"label_agreement":null},{"id":"W2075328626","doi":"10.1118/1.1999107","title":"Automatic exposure control for a slot scanning full field digital mammography system","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"CancerCare Manitoba","funders":"","keywords":"Mammography; Digital mammography; Imaging phantom; Computer science; Automatic exposure control; Workflow; Histogram; Feature (linguistics); Digital radiography; Computer vision; Artificial intelligence; Optics; Image (mathematics); Breast cancer; Physics; Radiology; Medicine; Radiography","score_opus":0.006900694396077154,"score_gpt":0.2374700073723386,"score_spread":0.23056931297626143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075328626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13316773,0.00025658673,0.8461729,0.00039141375,0.0001247551,0.0003087624,0.00021847435,0.015598906,0.0037603877],"genre_scores_gemma":[0.66808575,0.00010180484,0.32524884,0.00034728102,0.000071543254,0.00017243426,0.0002119243,0.00045913964,0.0053012846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995546,0.00007678715,0.00003366851,0.000103138496,0.00019744292,0.000034347235],"domain_scores_gemma":[0.9987072,0.0005456469,0.00010312233,0.00019146256,0.00037075317,0.000081875296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006521067,0.0003293699,0.00031908555,0.0004348543,0.00031436872,0.00069837045,0.0010178705,0.00048571875,0.006429324],"category_scores_gemma":[0.0022824449,0.00037813053,0.0001789022,0.00020421678,0.00023618064,0.0005867452,0.00058035913,0.00027611156,0.001069218],"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":[0.0015936274,0.00016338802,0.0060853846,0.00025041515,0.00004367724,0.0006393279,0.000427233,0.0074937367,0.61243236,0.0029135607,0.0077978214,0.36015952],"study_design_scores_gemma":[0.00034372672,0.0015998983,0.01980372,0.000073761286,0.0001496196,0.0035195972,0.0001607445,0.4040482,0.5087261,0.002582854,0.058758397,0.00023335307],"about_ca_topic_score_codex":0.00058851315,"about_ca_topic_score_gemma":0.00061593397,"teacher_disagreement_score":0.006429324,"about_ca_system_score_codex":0.00045153504,"about_ca_system_score_gemma":0.00047563115,"threshold_uncertainty_score":0.021508217},"labels":[],"label_agreement":null},{"id":"W2075502466","doi":"10.1148/radiol.2461070200","title":"Diagnostic Accuracy of Digital versus Film Mammography: Exploratory Analysis of Selected Population Subgroups in DMIST","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":463,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of North Carolina at Chapel Hill; University of California, Los Angeles; University of Toronto; University of Cincinnati; University of Washington; University of Pennsylvania","keywords":"Medicine; Mammography; Exploratory analysis; Population; Digital mammography; Medical physics; Internal medicine; Breast cancer; Data science; Cancer; Environmental health","score_opus":0.01906063904207679,"score_gpt":0.260873524781173,"score_spread":0.2418128857390962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075502466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909496,0.00040780677,0.00014483232,0.000021987633,0.0000030620881,0.000015326057,0.00011622841,0.00000328873,0.00019250343],"genre_scores_gemma":[0.9994654,0.00006577378,0.00015970814,0.000023025017,0.000009267052,0.000015450545,0.00023342967,0.0000010644275,0.000026831549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795854,0.001066088,0.00019669048,0.00033200023,0.00032989288,0.000116836054],"domain_scores_gemma":[0.9946567,0.0027920464,0.0016706657,0.0003220552,0.0003404086,0.00021808827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023562205,0.00024144426,0.0005466601,0.0007980053,0.00019103398,0.00062827393,0.00030786192,0.0003621781,0.00041933678],"category_scores_gemma":[0.012954621,0.00014551375,0.00034345646,0.00053950946,0.00025284808,0.0003056699,0.00050312857,0.00021122234,0.0000839962],"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":[0.0016950181,0.00003109552,0.9938259,0.00001931822,0.00010052913,0.000035343204,0.000042419528,0.00007704345,0.0002568328,0.000016240601,0.000048995247,0.0038511972],"study_design_scores_gemma":[0.0001745694,0.0012913197,0.9942854,0.000020860321,0.00025706433,0.0006859004,0.00023156527,0.0016926585,0.0007857972,0.00011672528,0.00045055113,0.0000076212496],"about_ca_topic_score_codex":0.0005354071,"about_ca_topic_score_gemma":0.00096246245,"teacher_disagreement_score":0.0023562205,"about_ca_system_score_codex":0.00023493345,"about_ca_system_score_gemma":0.00018460669,"threshold_uncertainty_score":0.012461007},"labels":[],"label_agreement":null},{"id":"W2075503680","doi":"10.1117/12.430931","title":"Effect of depth-dependent modulation transfer function and K-fluorescence reabsorption on the detective quantum efficiency of indirect-conversion flat-panel x-ray imaging systems using CsI","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Detective quantum efficiency; Optical transfer function; Optics; Phosphor; Quantum efficiency; Image intensifier; Absorption (acoustics); Scattering; Physics; Materials science; Chemistry; Optoelectronics; Image quality; Image (mathematics)","score_opus":0.01224751861459509,"score_gpt":0.22250189704678003,"score_spread":0.21025437843218495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075503680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99202335,0.00035151833,0.0071081324,0.000024206258,0.0000033491508,0.000011999789,0.000031715128,0.000056146786,0.0003896499],"genre_scores_gemma":[0.997145,0.00027425212,0.002376054,0.0000129310465,0.0000020593748,0.0000066566686,0.000017116645,0.000009943562,0.0001559985],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972636,0.000059572394,0.000012785929,0.000054545104,0.00009939832,0.000047377132],"domain_scores_gemma":[0.996968,0.0024389832,0.00026115862,0.00013214555,0.00014119965,0.00005856971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006767572,0.00043171772,0.0003085245,0.00022382979,0.00015485504,0.00033910212,0.0003279008,0.00039394177,0.0005163668],"category_scores_gemma":[0.003035834,0.00030962005,0.00023587098,0.00017781022,0.0005787164,0.0005701157,0.00026544786,0.00031919143,0.00012539967],"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":[0.0008789332,0.00005923753,0.0024956802,0.00012017878,0.000029228826,0.00018694311,0.00014178696,0.010877665,0.97621596,0.00034987912,0.000032535358,0.008612056],"study_design_scores_gemma":[0.00002039534,0.00051769527,0.0053453203,0.000008076099,0.000024065963,0.0001455323,0.000027421958,0.017945468,0.9757134,0.00010263019,0.00013010619,0.000020019692],"about_ca_topic_score_codex":0.0012306765,"about_ca_topic_score_gemma":0.00096769014,"teacher_disagreement_score":0.0012306765,"about_ca_system_score_codex":0.0006419313,"about_ca_system_score_gemma":0.00027905765,"threshold_uncertainty_score":0.004657507},"labels":[],"label_agreement":null},{"id":"W2076550193","doi":"10.1118/1.2968093","title":"The x‐ray light valve: A low‐cost, digital radiographic imaging system—Spatial resolution","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"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 Sciences Centre; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Scanner; Optical transfer function; Optics; Computed radiography; Image quality; Image resolution; Digital radiography; Resolution (logic); Materials science; Physics; Radiography; Computer science; Computer vision; Artificial intelligence","score_opus":0.007924707224713721,"score_gpt":0.22710017606082603,"score_spread":0.2191754688361123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076550193","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2714478,0.006878321,0.701456,0.00070844265,0.0003378545,0.00038136131,0.00028579292,0.009992096,0.008512259],"genre_scores_gemma":[0.6860194,0.0010897934,0.30269662,0.00034624233,0.00010201041,0.00013989134,0.00020091899,0.00020347783,0.009201739],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993236,0.000089394096,0.000028854936,0.00014454572,0.00037652833,0.00003707539],"domain_scores_gemma":[0.99953485,0.00019201159,0.00009105042,0.000051094095,0.000074351534,0.00005663762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083148584,0.00031895324,0.00047222813,0.00045400942,0.00022521289,0.0010585462,0.001331431,0.0008231453,0.0025840695],"category_scores_gemma":[0.001142221,0.00047922644,0.00026065845,0.00022161176,0.00050328806,0.0009695728,0.00056469813,0.00049858814,0.0006730234],"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":[0.0002556968,0.000048787606,0.0015029634,0.00041294598,0.000021656992,0.00017496609,0.000075555006,0.0014475647,0.9158634,0.0045030764,0.0013599014,0.07433351],"study_design_scores_gemma":[0.00014281804,0.0015598884,0.006148404,0.000074893534,0.00007084619,0.004475606,0.00007076347,0.053599507,0.89050823,0.0010623975,0.042159025,0.0001276789],"about_ca_topic_score_codex":0.00033972092,"about_ca_topic_score_gemma":0.0003008859,"teacher_disagreement_score":0.0025840695,"about_ca_system_score_codex":0.00046481105,"about_ca_system_score_gemma":0.0007871849,"threshold_uncertainty_score":0.008644581},"labels":[],"label_agreement":null},{"id":"W2077493544","doi":"10.1080/09513590400030004","title":"Is mammographic density, as currently measured, a robust surrogate marker for breast cancer?","year":2005,"lang":"en","type":"article","venue":"Gynecological Endocrinology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Breast cancer; Progestogen; Contraindication; Gynecology; Estrogen; Mammography; Oncology; Surrogate endpoint; Internal medicine; Cancer; Alternative medicine; Pathology","score_opus":0.03428887281203435,"score_gpt":0.3000701639685766,"score_spread":0.26578129115654225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077493544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46650076,0.20850523,0.06270053,0.23570414,0.0038317933,0.00026572816,0.003429786,0.0001885519,0.018873477],"genre_scores_gemma":[0.96328473,0.015142233,0.011314931,0.0076425183,0.0017149958,0.00009585997,0.00042849674,0.000021590691,0.00035464353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96314913,0.024485812,0.0034116567,0.0029373823,0.00535602,0.0006599496],"domain_scores_gemma":[0.8747016,0.065874904,0.032449745,0.008082036,0.016543312,0.0023484067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06932343,0.00042625825,0.0025175847,0.0017982057,0.00048509223,0.0031487904,0.0013869486,0.0025706051,0.0008506322],"category_scores_gemma":[0.19624461,0.00032637076,0.0007977776,0.0028960416,0.0047395458,0.0024565086,0.0011241104,0.0017423749,0.0006438577],"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":[0.00092609157,0.0001446231,0.76278657,0.002013998,0.0012259445,0.00030770828,0.0010497405,0.0012864695,0.0024920958,0.0046561416,0.008791378,0.21431926],"study_design_scores_gemma":[0.00012935851,0.0017789654,0.9081031,0.0039858073,0.0009187114,0.0041854363,0.00328052,0.007930562,0.0031466302,0.020484395,0.04572643,0.00032997588],"about_ca_topic_score_codex":0.002988272,"about_ca_topic_score_gemma":0.0029535762,"teacher_disagreement_score":0.06932343,"about_ca_system_score_codex":0.001398928,"about_ca_system_score_gemma":0.0016147677,"threshold_uncertainty_score":0.36662173},"labels":[],"label_agreement":null},{"id":"W2077503896","doi":"10.1118/1.4736422","title":"The relationship between anatomic noise and volumetric breast density for digital mammography","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society Research Institute","keywords":"Mammography; Breast density; Noise (video); Digital mammography; Materials science; Mathematics; Nuclear medicine; Medicine; Breast cancer; Artificial intelligence; Computer science","score_opus":0.021285137730522763,"score_gpt":0.2728037018175187,"score_spread":0.2515185640869959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077503896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90132207,0.0023308652,0.09311263,0.0003199194,0.000028075341,0.00009159156,0.00044342325,0.00060387974,0.0017475788],"genre_scores_gemma":[0.9586849,0.0006096628,0.03952592,0.000058965823,0.000030639385,0.000057680358,0.0005035365,0.000057591755,0.00047107853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973434,0.00007270308,0.000017003998,0.000038216225,0.00012730835,0.000010365391],"domain_scores_gemma":[0.99768186,0.0016543674,0.00025881742,0.0001160731,0.00023582413,0.00005302413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010765006,0.0004029484,0.00024503024,0.00079521636,0.00015934571,0.00045491397,0.0004271753,0.0003156237,0.0016852684],"category_scores_gemma":[0.011627726,0.0001892217,0.00024446577,0.0007066837,0.0002489855,0.0003632921,0.00037558735,0.00023930368,0.00042183138],"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":[0.001448309,0.00022288114,0.43448928,0.000835478,0.00016124353,0.00060382683,0.00026040283,0.022023676,0.122730896,0.0011097087,0.0013496545,0.41476458],"study_design_scores_gemma":[0.000044596538,0.0006245593,0.7411541,0.00019468142,0.0002898043,0.004852943,0.0001425298,0.17970632,0.06432285,0.0024845288,0.0061066006,0.00007651789],"about_ca_topic_score_codex":0.00087396876,"about_ca_topic_score_gemma":0.0013502069,"teacher_disagreement_score":0.0016852684,"about_ca_system_score_codex":0.00039969044,"about_ca_system_score_gemma":0.0002759221,"threshold_uncertainty_score":0.0056931973},"labels":[],"label_agreement":null},{"id":"W2078098902","doi":"10.2165/00044011-200020020-00005","title":"Mammographic Density in Postmenopausal Women Treated with Tibolone, Estriol or Conventional Hormone Replacement Therapy","year":2000,"lang":"en","type":"article","venue":"Clinical Drug Investigation","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Trois-Rivieres; Cegep de Thetford","funders":"","keywords":"Tibolone; Medicine; Estriol; Medroxyprogesterone acetate; Hormone replacement therapy (female-to-male); Menopause; Estrogen; Medroxyprogesterone; Internal medicine; Gynecology; Urology; Testosterone (patch)","score_opus":0.027944960573764242,"score_gpt":0.2974984960247114,"score_spread":0.2695535354509472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078098902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967449,0.001610031,0.00003059149,0.000095061885,0.000019906965,0.00001119548,0.00014739952,0.0000046516093,0.001336205],"genre_scores_gemma":[0.9989021,0.00051041064,0.000030780713,0.00007522546,0.000032819593,0.0000071256577,0.0001327472,0.0000012056884,0.00030760656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982977,0.00005179129,0.00002221584,0.000018544475,0.0000447506,0.000032965345],"domain_scores_gemma":[0.9993741,0.00025295484,0.00013268852,0.000019780877,0.00005934611,0.00016117736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028126448,0.00019532854,0.00051056565,0.00077697646,0.00032853853,0.0003647971,0.00018492874,0.0005271173,0.0014567113],"category_scores_gemma":[0.002988916,0.00018496666,0.0003767697,0.0008372583,0.00023754196,0.00019941574,0.00017472485,0.00045716183,0.000171252],"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":[0.007303538,0.00026877044,0.98184115,0.000042392843,0.00012652832,0.0012255714,0.00018016879,0.000093097144,0.0015915527,0.000030447587,0.00016417248,0.0071327393],"study_design_scores_gemma":[0.0001727244,0.0014115403,0.995719,0.000011175001,0.00020949222,0.0014155379,0.00021422817,0.00017648822,0.00022510542,0.00002898771,0.0004096321,0.0000061001506],"about_ca_topic_score_codex":0.007977063,"about_ca_topic_score_gemma":0.0075711515,"teacher_disagreement_score":0.007977063,"about_ca_system_score_codex":0.00046683228,"about_ca_system_score_gemma":0.00035736238,"threshold_uncertainty_score":0.015861273},"labels":[],"label_agreement":null},{"id":"W2078978161","doi":"10.1038/sj.bjc.6600537","title":"The association of breast mitogens with mammographic densities","year":2002,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":278,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Regional Cancer Foundation; Health Sciences Centre; Sunnybrook Health Science Centre; Mount Sinai Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Prolactin; Internal medicine; Endocrinology; Sex hormone-binding globulin; Hormone; Risk factors for breast cancer; Anthropometry; Risk factor; Globulin; Mammography; MAMMOGRAPHIC DENSITY; Cancer","score_opus":0.005265437800796183,"score_gpt":0.2095724450219589,"score_spread":0.2043070072211627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078978161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895453,0.00050968275,0.00009153851,0.000024720359,0.0000023007533,0.0000027493033,0.000057951114,0.000003146995,0.00035340682],"genre_scores_gemma":[0.999584,0.00015098722,0.000072449366,0.00000628994,0.00000562033,0.0000024529315,0.00006116181,6.480682e-7,0.0001164088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997843,0.00007767399,0.000016419803,0.000028662602,0.000059047652,0.000033894412],"domain_scores_gemma":[0.99809474,0.0007221642,0.00072682725,0.00009245649,0.00014308775,0.00022061067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024902206,0.00014793209,0.0001448697,0.0005787089,0.00015814959,0.00025003246,0.00014354347,0.00018592169,0.0013640346],"category_scores_gemma":[0.0037123251,0.0001287854,0.00008598237,0.00037174037,0.00024465303,0.000117870855,0.00022143772,0.00025276854,0.00014842917],"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":[0.00014451065,0.000019806352,0.9961565,0.000009489371,0.000020161839,0.00006894694,0.00003918312,0.00002863698,0.0011769299,0.000018730114,0.000028240689,0.002288825],"study_design_scores_gemma":[0.0000015361137,0.000050640396,0.99932265,0.0000013474851,0.000006830816,0.0003354519,0.00002550763,0.000044796245,0.00012034637,0.000015567286,0.00007408797,0.0000012916428],"about_ca_topic_score_codex":0.0016356325,"about_ca_topic_score_gemma":0.0016589446,"teacher_disagreement_score":0.0016356325,"about_ca_system_score_codex":0.00010181326,"about_ca_system_score_gemma":0.000080549704,"threshold_uncertainty_score":0.004563093},"labels":[],"label_agreement":null},{"id":"W2079043952","doi":"10.1097/01.hp.0000327648.42431.75","title":"TECHNICAL DEVELOPMENTS IN MAMMOGRAPHY","year":2008,"lang":"en","type":"article","venue":"Health Physics","topic":"Digital Radiography and Breast Imaging","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":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Mammography; Medical physics; Breast cancer; Medicine; Digital mammography; Radiation exposure; Cancer; Nuclear medicine","score_opus":0.036526353421239575,"score_gpt":0.30976724895875507,"score_spread":0.2732408955375155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079043952","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0084184455,0.6828294,0.16473944,0.029816546,0.0122455675,0.0003863182,0.000639742,0.0011219351,0.099802725],"genre_scores_gemma":[0.073564336,0.54748327,0.3076843,0.014525986,0.018287586,0.00045933982,0.0008697308,0.0005223366,0.03660318],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9940398,0.0019753694,0.00046781145,0.0009292785,0.0023539746,0.00023373647],"domain_scores_gemma":[0.9863435,0.0061378255,0.00071536994,0.0015218677,0.0048144883,0.0004669122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009514398,0.0010333699,0.0010146169,0.005228296,0.0010197165,0.00472854,0.0030308706,0.003469495,0.011043726],"category_scores_gemma":[0.017781373,0.001245651,0.0013923376,0.004651532,0.0022734453,0.004210361,0.0023736763,0.005065407,0.008457643],"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":[0.0002660273,0.00016876165,0.003557902,0.0030858072,0.00008999736,0.00067876716,0.00036887956,0.001226481,0.008831674,0.03856771,0.030093813,0.91306424],"study_design_scores_gemma":[0.00003349933,0.00028902243,0.0028423714,0.0015011377,0.00009379713,0.006846261,0.00018860502,0.0019254136,0.009440576,0.017325114,0.95935994,0.00015417293],"about_ca_topic_score_codex":0.0021785123,"about_ca_topic_score_gemma":0.0018253156,"teacher_disagreement_score":0.011043726,"about_ca_system_score_codex":0.0024056449,"about_ca_system_score_gemma":0.0021959613,"threshold_uncertainty_score":0.050317526},"labels":[],"label_agreement":null},{"id":"W2079303133","doi":"10.1118/1.2799490","title":"The x‐ray light valve: A low‐cost digital radiographic imaging system","year":2007,"lang":"en","type":"letter","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Digital radiography; Radiography; Computed radiography; Digital imaging; Image resolution; Computer science; Image quality; Medical physics; Computer vision; Nuclear medicine; Optics; Artificial intelligence; Digital image; Medicine; Radiology; Image processing; Physics; Image (mathematics)","score_opus":0.006829603607524339,"score_gpt":0.2355788692255429,"score_spread":0.22874926561801856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079303133","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21302384,0.03396215,0.13654289,0.5153595,0.023230061,0.0006816359,0.00024604378,0.0033885948,0.07356532],"genre_scores_gemma":[0.6985868,0.01053417,0.118196376,0.10618089,0.011705733,0.00046595567,0.0001824693,0.00015253035,0.053995147],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990496,0.00026589993,0.000081457496,0.00011505284,0.00039724,0.00009079339],"domain_scores_gemma":[0.9994418,0.0002875071,0.00006120707,0.000050904142,0.00006083075,0.00009763789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087927305,0.00028256804,0.00044775676,0.00036661225,0.00062149524,0.0012906085,0.00096532033,0.005774314,0.0023008808],"category_scores_gemma":[0.0024493842,0.00024227718,0.0003142294,0.00019401604,0.0013372125,0.0012747948,0.0005429126,0.0034201415,0.0019035474],"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":[0.0021341145,0.0008778809,0.012409539,0.0010232384,0.00010372726,0.1625222,0.00086897577,0.00097141846,0.1417712,0.04252761,0.27490935,0.35988075],"study_design_scores_gemma":[0.00069457054,0.0018922394,0.0044833194,0.00014559725,0.00009569213,0.32780716,0.00028968145,0.009584201,0.08945164,0.0080155665,0.5574008,0.00013952007],"about_ca_topic_score_codex":0.00024898432,"about_ca_topic_score_gemma":0.00035975673,"teacher_disagreement_score":0.005774314,"about_ca_system_score_codex":0.0011241555,"about_ca_system_score_gemma":0.0004887256,"threshold_uncertainty_score":0.008156359},"labels":[],"label_agreement":null},{"id":"W2079565042","doi":"10.1016/j.ijmedinf.2006.01.004","title":"Knowledge barriers to PACS adoption and implementation in hospitals","year":2006,"lang":"en","type":"review","venue":"International Journal of Medical Informatics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Implementation; Software deployment; Order (exchange); Process (computing); Knowledge management; Sight; Computer science; Business","score_opus":0.017637005660837795,"score_gpt":0.3963470648536855,"score_spread":0.37871005919284767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079565042","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014114377,0.9804457,0.00022442493,0.0025381856,0.00009905544,0.000028222721,0.000048595684,0.000007985851,0.0024934974],"genre_scores_gemma":[0.051314987,0.9470575,0.00046643146,0.0006390013,0.00006932243,0.00003703534,0.000067277964,0.0000017371287,0.0003467406],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975963,0.00072434323,0.00038891064,0.00022327741,0.00091378234,0.00015339868],"domain_scores_gemma":[0.97570884,0.018437585,0.0028312905,0.0002017653,0.0025335113,0.000287012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045838812,0.00034760486,0.0014100731,0.0019277398,0.0003852287,0.001744565,0.00095518655,0.0013373845,0.0017282228],"category_scores_gemma":[0.020644635,0.00036007323,0.0006950721,0.0030909714,0.00050478394,0.002187093,0.0006578436,0.0010742598,0.00022881669],"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":[0.00018475208,0.00021332939,0.025041671,0.034442347,0.00047596067,0.0006569579,0.0012622611,0.00023679712,0.00030461545,0.0007442584,0.005137734,0.9312992],"study_design_scores_gemma":[0.00020782222,0.0013929264,0.40536767,0.18536957,0.005682218,0.013083056,0.016131677,0.0010114204,0.0039400887,0.004468933,0.3631152,0.00022949162],"about_ca_topic_score_codex":0.008615711,"about_ca_topic_score_gemma":0.014079763,"teacher_disagreement_score":0.008615711,"about_ca_system_score_codex":0.0017010642,"about_ca_system_score_gemma":0.0067627174,"threshold_uncertainty_score":0.024242163},"labels":[],"label_agreement":null},{"id":"W2080621125","doi":"10.1117/12.2081247","title":"Low dose digital X-ray imaging with avalanche amorphous selenium","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast 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":"Analogic (Canada)","funders":"Basic Energy Sciences; National Institutes of Health; U.S. Department of Energy","keywords":"Optoelectronics; Avalanche photodiode; Detector; Thin-film transistor; Active matrix; X-ray detector; Silicon photomultiplier; Optics; Materials science; Scintillator; Physics; Nanotechnology; Layer (electronics)","score_opus":0.008962409554133025,"score_gpt":0.21715944609574322,"score_spread":0.2081970365416102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080621125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96191657,0.0009815501,0.032219063,0.00010262227,0.000020429621,0.000050703937,0.000105212894,0.00040780843,0.0041961065],"genre_scores_gemma":[0.907835,0.00070350384,0.085784376,0.000047031375,0.000011665398,0.000032566964,0.000101220576,0.00007843943,0.005406133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987924,0.00001817811,0.000005395247,0.00002506986,0.000058123256,0.0000139975955],"domain_scores_gemma":[0.99981433,0.00007245949,0.00004077087,0.00002834352,0.000027435353,0.000016690668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020039639,0.0002576839,0.00013769625,0.00020542055,0.00008806444,0.0004762368,0.0003422838,0.0002625668,0.0010323058],"category_scores_gemma":[0.00043085395,0.00024970443,0.00014829816,0.00019328928,0.00021610492,0.0003909533,0.00036093997,0.0003661425,0.00029003306],"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":[0.000037151498,0.000011611437,0.0003958171,0.000026219885,0.000004922644,0.000067017296,0.000021703263,0.0001529771,0.9958675,0.00019193446,0.000047365473,0.0031758803],"study_design_scores_gemma":[0.000009268438,0.0001918906,0.0024857167,0.000005133687,0.0000070509614,0.0002903846,0.000016590293,0.002867348,0.9926279,0.000050419723,0.0014414771,0.0000067122314],"about_ca_topic_score_codex":0.00043601237,"about_ca_topic_score_gemma":0.00099631,"teacher_disagreement_score":0.0010323058,"about_ca_system_score_codex":0.0002640122,"about_ca_system_score_gemma":0.00010492349,"threshold_uncertainty_score":0.003453374},"labels":[],"label_agreement":null},{"id":"W2080810029","doi":"10.1118/1.2184445","title":"Effect of scatter and an antiscatter grid on the performance of a slot‐scanning digital mammography system","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Optics; Materials science; Detector; Digital mammography; Flat panel detector; Radiation; Dosimetry; Nuclear medicine; Physics; Medicine","score_opus":0.0039594392943204165,"score_gpt":0.22430633355926644,"score_spread":0.22034689426494602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080810029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877406,0.00015561088,0.010454067,0.00002743548,0.000012300649,0.000011141999,0.000017253378,0.00022980475,0.000318311],"genre_scores_gemma":[0.99102753,0.00007849509,0.008345805,0.000040224837,0.000008802136,0.0000066100406,0.000043036835,0.00005042641,0.00039894853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931395,0.00021913242,0.00006669351,0.00012690615,0.00019287717,0.00008043338],"domain_scores_gemma":[0.9948921,0.0032449572,0.00057968526,0.00040813445,0.00065476215,0.00022024196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010787839,0.00030466702,0.0003550018,0.00031877964,0.00017357492,0.000501618,0.00025206606,0.00040481074,0.0010841251],"category_scores_gemma":[0.0061056823,0.00036018068,0.00022644021,0.00034060027,0.00024141918,0.00056205865,0.00041594435,0.00018035634,0.0004926036],"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":[0.0058716093,0.00011853655,0.017766435,0.00018893482,0.00009126338,0.00046500462,0.0003151063,0.008118661,0.91160315,0.0002131555,0.00021481192,0.055033274],"study_design_scores_gemma":[0.00015129913,0.005048716,0.04769279,0.00002613478,0.00023792662,0.0019318642,0.0001515987,0.050772436,0.8922183,0.00016134458,0.0015440446,0.000063504216],"about_ca_topic_score_codex":0.0005191846,"about_ca_topic_score_gemma":0.0003806391,"teacher_disagreement_score":0.0010841251,"about_ca_system_score_codex":0.00026226632,"about_ca_system_score_gemma":0.00021492402,"threshold_uncertainty_score":0.0057052374},"labels":[],"label_agreement":null},{"id":"W2082269089","doi":"10.1007/s10278-003-1710-7","title":"Security Middleware Infrastructure for DICOM Images in Health Information Systems","year":2003,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"","keywords":"Access control; DICOM; Middleware (distributed applications); Computer science; Confidentiality; Scalability; Mandatory access control; Data access; Computer security; Database; World Wide Web; Role-based access control; Operating system","score_opus":0.0066237809360219805,"score_gpt":0.2532907673311024,"score_spread":0.24666698639508042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082269089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07113079,0.001859514,0.8062862,0.0038819187,0.00094331655,0.0010916382,0.001123308,0.094822735,0.018860536],"genre_scores_gemma":[0.7351664,0.0012698009,0.23157257,0.0017855299,0.00042729007,0.00059915805,0.0047947685,0.0047517736,0.0196326],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780196,0.00045607061,0.00041937488,0.00027637847,0.0006957158,0.00035042324],"domain_scores_gemma":[0.9934422,0.0015962777,0.00045710427,0.0026838605,0.0011209702,0.00069962227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044030882,0.0007562786,0.0009476037,0.001733065,0.001439485,0.0044250577,0.0021000686,0.0014161572,0.0074478127],"category_scores_gemma":[0.010590121,0.00071776536,0.00074185757,0.0010467592,0.0007769857,0.003213625,0.0044040624,0.0020017019,0.0028793965],"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":[0.004398854,0.00083859015,0.021719938,0.0017171869,0.0005036411,0.0023136737,0.0036848316,0.010716796,0.1375951,0.12991175,0.12134018,0.5652595],"study_design_scores_gemma":[0.0006794182,0.0006210753,0.015974961,0.00063118374,0.0006957438,0.0023575774,0.0010805806,0.23990981,0.2798376,0.06537889,0.3924894,0.00034368515],"about_ca_topic_score_codex":0.002529442,"about_ca_topic_score_gemma":0.0014428212,"teacher_disagreement_score":0.0074478127,"about_ca_system_score_codex":0.0020863258,"about_ca_system_score_gemma":0.0023527986,"threshold_uncertainty_score":0.024915397},"labels":[],"label_agreement":null},{"id":"W2082576229","doi":"10.1016/s0720-048x(03)00158-x","title":"Digital spot mammography using an add-on upright unit: diagnostic application in daily practice","year":2004,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Royal Victoria Hospital","funders":"","keywords":"Medicine; Magnification; Mammography; Radiology; Digital mammography; Medical physics; Clinical Practice; Digital radiography; Nuclear medicine; Radiography; Artificial intelligence; Computer science; Breast cancer","score_opus":0.01711604149363755,"score_gpt":0.27251855177227596,"score_spread":0.2554025102786384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082576229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8433593,0.014998756,0.09171705,0.005911592,0.0010603633,0.0011866222,0.0011191351,0.0029893077,0.03765786],"genre_scores_gemma":[0.857971,0.006369326,0.12597278,0.0017476769,0.0014990022,0.00022387026,0.00025321488,0.00023539575,0.0057278024],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990815,0.00045193135,0.00007262602,0.00012485932,0.00021305137,0.000055966044],"domain_scores_gemma":[0.99651897,0.0014425302,0.00013776649,0.00041859908,0.0008161963,0.0006658329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017419683,0.0011352792,0.0008325732,0.0019082569,0.00047225397,0.00065788213,0.0009181603,0.001773627,0.012567593],"category_scores_gemma":[0.004608231,0.0005486013,0.00039646254,0.0013098083,0.00035719635,0.0009244103,0.0009865961,0.0006053789,0.0029810483],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049647866,0.0020282287,0.08342085,0.000800871,0.000062328756,0.0058238334,0.0005970801,0.00062688015,0.056263212,0.00037099962,0.011828564,0.8332124],"study_design_scores_gemma":[0.002525514,0.03402793,0.52098125,0.0016396543,0.0017089769,0.17547405,0.0066784774,0.036977842,0.13600323,0.0058755497,0.07738858,0.00071898656],"about_ca_topic_score_codex":0.00059145293,"about_ca_topic_score_gemma":0.001165253,"teacher_disagreement_score":0.012567593,"about_ca_system_score_codex":0.00024884572,"about_ca_system_score_gemma":0.00047231367,"threshold_uncertainty_score":0.042042732},"labels":[],"label_agreement":null},{"id":"W2084554549","doi":"10.1118/1.4829516","title":"Comparative performance of modern digital mammography systems in a large breast screening program","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Cancer Care Ontario; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Digital mammography; Imaging phantom; Quality assurance; Computed radiography; Kerma; Optical transfer function; Breast cancer; Medical physics; Medicine; Image quality; Breast imaging; Nuclear medicine; Computer science; Dosimetry; Cancer; Artificial intelligence; Optics; Physics","score_opus":0.014209631824583272,"score_gpt":0.26364613109813423,"score_spread":0.24943649927355097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084554549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986738,0.00031677002,0.00045960303,0.00002936277,0.0000027430033,0.000021755686,0.000055474404,0.000047492238,0.0003929332],"genre_scores_gemma":[0.99858886,0.000097817094,0.0009851746,0.00003051105,0.000007902842,0.000013794704,0.00014753794,0.0000086919,0.000119773285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745196,0.0010884982,0.00018712283,0.0003281741,0.0007785046,0.00016578006],"domain_scores_gemma":[0.9871832,0.0073325965,0.0019748406,0.0007511794,0.0020888972,0.00066935865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032926463,0.000281456,0.00024905129,0.0017042673,0.00019338919,0.00058596616,0.0003868752,0.00038338752,0.0009540997],"category_scores_gemma":[0.01591282,0.00024400982,0.00023722713,0.0010909255,0.00036284473,0.00055532035,0.00072128366,0.0001991856,0.00023115288],"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":[0.0070207017,0.0009090863,0.83970094,0.00041171128,0.0002661663,0.00025968635,0.0010132411,0.0019668834,0.017136471,0.0001694774,0.00044664464,0.13069901],"study_design_scores_gemma":[0.0001187199,0.005370494,0.9835772,0.000032041156,0.000120885736,0.00070061546,0.00034565263,0.002801484,0.0059423647,0.000062637526,0.0009045616,0.000023353981],"about_ca_topic_score_codex":0.0014948944,"about_ca_topic_score_gemma":0.0019881942,"teacher_disagreement_score":0.0032926463,"about_ca_system_score_codex":0.0007275607,"about_ca_system_score_gemma":0.00029288235,"threshold_uncertainty_score":0.017413378},"labels":[],"label_agreement":null},{"id":"W2084629754","doi":"10.1117/12.2041620","title":"X-ray light valve (XLV): a novel detectors' technology for digital mammography","year":2014,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":"XLV Diagnostics (Canada)","funders":"","keywords":"Mammography; Digital mammography; Computer science; Medical physics; Radiology; Medicine; Internal medicine","score_opus":0.00649103398401116,"score_gpt":0.21421868943891836,"score_spread":0.2077276554549072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084629754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074753486,0.022109976,0.8798862,0.0015329468,0.0011530812,0.00039895508,0.00032293596,0.0056586047,0.01418379],"genre_scores_gemma":[0.43920588,0.00805857,0.52660656,0.0011268365,0.00058838085,0.00035137526,0.00030318013,0.0002039487,0.023555186],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994165,0.00007703559,0.000022644728,0.00012176108,0.00030704614,0.00005513992],"domain_scores_gemma":[0.99974376,0.00007796732,0.00005972258,0.000031897034,0.000043188753,0.000043463817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050564716,0.000420872,0.00039181404,0.00084354175,0.00032757336,0.001340787,0.0018167641,0.0010381577,0.0019032476],"category_scores_gemma":[0.00055472046,0.0004173164,0.0003808872,0.0004926022,0.00063481694,0.0014938783,0.0009628132,0.0007284686,0.0008862882],"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":[0.00018073132,0.00007683945,0.0014407007,0.00056759996,0.000026307927,0.0005265542,0.00021090174,0.0005630046,0.7495348,0.017810298,0.004673998,0.22438829],"study_design_scores_gemma":[0.00008890162,0.0009756231,0.0030630373,0.000084223124,0.000054591208,0.005383401,0.00008387565,0.01261754,0.8054637,0.0018540216,0.17021579,0.000115269984],"about_ca_topic_score_codex":0.00021831198,"about_ca_topic_score_gemma":0.00020691709,"teacher_disagreement_score":0.0019032476,"about_ca_system_score_codex":0.0005769504,"about_ca_system_score_gemma":0.00049640465,"threshold_uncertainty_score":0.006366968},"labels":[],"label_agreement":null},{"id":"W2085682959","doi":"10.1158/1055-9965.epi-07-0509","title":"Is Mammography Adequate for Screening Women with Inherited BRCA Mutations and Low Breast Density?","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Breast Cancer Research Alliance","keywords":"Mammography; Medicine; Breast cancer; Breast density; Ductal carcinoma; Magnetic resonance imaging; Breast MRI; BRCA mutation; Breast imaging; Breast cancer screening; Radiology; BI-RADS; Gynecology; Cancer; Oncology; Internal medicine","score_opus":0.04458829893259182,"score_gpt":0.3223167917201098,"score_spread":0.277728492787518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085682959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91836554,0.049256936,0.0013051926,0.023921652,0.00038530453,0.00006888571,0.00057815824,0.00007428055,0.0060441312],"genre_scores_gemma":[0.9954745,0.0028144568,0.0004366224,0.0008403153,0.00025487813,0.000011040812,0.000121989004,0.0000037838481,0.000042307616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99439776,0.0027050797,0.0008356767,0.00046087662,0.0010141403,0.0005864638],"domain_scores_gemma":[0.96914846,0.015603343,0.0104610985,0.000973109,0.00216777,0.0016461988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005770253,0.00040158516,0.0010597707,0.0018538402,0.00039998296,0.0011104166,0.0009885017,0.00232434,0.0010653503],"category_scores_gemma":[0.067301676,0.00039325887,0.0007739706,0.0016027679,0.0016187362,0.0016660255,0.0005402345,0.0005494721,0.0003337554],"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":[0.00042238104,0.000051384333,0.9737839,0.00021828192,0.00014015612,0.00051711174,0.00010910292,0.00014736995,0.00028347495,0.000085934385,0.00093957613,0.023301302],"study_design_scores_gemma":[0.000053931497,0.0004455646,0.99099255,0.0004723449,0.00028333208,0.0039084307,0.00058086787,0.0007357519,0.00029952245,0.00042036938,0.0017881509,0.000019275385],"about_ca_topic_score_codex":0.0031871186,"about_ca_topic_score_gemma":0.0048241783,"teacher_disagreement_score":0.005770253,"about_ca_system_score_codex":0.00071400113,"about_ca_system_score_gemma":0.00079843844,"threshold_uncertainty_score":0.030516386},"labels":[],"label_agreement":null},{"id":"W2087227477","doi":"10.1186/1471-2458-14-554","title":"Consumption of sweet foods and mammographic breast density: a cross-sectional study","year":2014,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":19,"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 Laval; Hôpital du Saint-Sacrement","funders":"Canadian Breast Cancer Research Alliance","keywords":"Medicine; Quartile; Body mass index; Breast cancer; Added sugar; MAMMOGRAPHIC DENSITY; Confounding; Sugar; Environmental health; Mammography; Obesity; Food science; Cancer; Internal medicine; Confidence interval","score_opus":0.04553540056924382,"score_gpt":0.3323492198896425,"score_spread":0.2868138193203987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087227477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989998,0.00028663242,0.00008673674,0.000023439488,0.000005765696,0.00001651475,0.00037645944,0.0000025963054,0.00020223559],"genre_scores_gemma":[0.99874014,0.00023735288,0.00019904772,0.000060409737,0.000012958094,0.000025978907,0.0005284944,0.0000019476563,0.00019358954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943966,0.00019861996,0.000058204903,0.000116042866,0.00012363977,0.00006375566],"domain_scores_gemma":[0.9982291,0.0004767407,0.0005178825,0.00017942795,0.00025880878,0.00033805415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012885187,0.0003338426,0.000399889,0.00074988935,0.00040772022,0.00056124944,0.00033647657,0.0006727589,0.0019229641],"category_scores_gemma":[0.0023784519,0.0007109288,0.00048184232,0.0010463389,0.00029894896,0.0004947084,0.00040638904,0.0007145011,0.0004883357],"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":[0.00007081397,0.00007926335,0.99929464,0.0000072797234,0.00007991428,0.00002916631,0.00004326031,0.000008762803,0.00008441564,0.000003567866,0.000030365816,0.0002684981],"study_design_scores_gemma":[0.000011000509,0.00023084902,0.9992005,0.00000555084,0.00006539269,0.00018675443,0.00010995051,0.000059038397,0.000028608792,0.0000065154672,0.00009297916,0.0000028103286],"about_ca_topic_score_codex":0.004499127,"about_ca_topic_score_gemma":0.005425839,"teacher_disagreement_score":0.004499127,"about_ca_system_score_codex":0.00020948405,"about_ca_system_score_gemma":0.00029676914,"threshold_uncertainty_score":0.008945882},"labels":[],"label_agreement":null},{"id":"W2087322546","doi":"10.1109/ccece.2010.5575211","title":"Statistical comparison between a real-time model and a FEM counterpart for visualization of breast phantom deformation during palpation","year":2010,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast 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":"University of Calgary","funders":"","keywords":"Imaging phantom; Palpation; Visualization; Finite element method; Deformation (meteorology); Computer science; Artificial intelligence; Physics; Nuclear medicine; Medicine; Radiology","score_opus":0.012408037541981757,"score_gpt":0.3069426960107625,"score_spread":0.29453465846878074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087322546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6822482,0.00014379557,0.3147689,0.000089078116,0.00009099499,0.00008355523,0.00025400292,0.0010215394,0.0013000211],"genre_scores_gemma":[0.9695425,0.00003061961,0.029667556,0.000013814626,0.000009000492,0.0000636252,0.00021706769,0.0001237389,0.0003319297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978802,0.00096625334,0.00014413694,0.00041441445,0.0004838462,0.00011112723],"domain_scores_gemma":[0.9853704,0.009599745,0.00081719004,0.002147068,0.0017457753,0.000319767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052238535,0.00038549595,0.00031996315,0.0007053061,0.00017521516,0.0007713212,0.00060434954,0.00054041477,0.0019603886],"category_scores_gemma":[0.018493757,0.00020821912,0.00048333235,0.00049013103,0.0006143829,0.00087437854,0.00044984216,0.00046890456,0.00024032577],"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":[0.0073212576,0.0013808967,0.08140036,0.00075799134,0.00051565457,0.00044426904,0.0023949305,0.3501451,0.28917605,0.0066795484,0.0025975273,0.25718653],"study_design_scores_gemma":[0.00005770671,0.0016105439,0.06323917,0.000017302607,0.00008947581,0.00038962008,0.00042614163,0.892975,0.038088813,0.0014772883,0.001520141,0.000108883694],"about_ca_topic_score_codex":0.001641332,"about_ca_topic_score_gemma":0.0014062645,"teacher_disagreement_score":0.0052238535,"about_ca_system_score_codex":0.00043269043,"about_ca_system_score_gemma":0.00041464306,"threshold_uncertainty_score":0.027626693},"labels":[],"label_agreement":null},{"id":"W2088355935","doi":"10.1117/12.877854","title":"Analysis of multilayer and single layer X-ray detectors for contrast-enhanced mammography using imaging task","year":2011,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detector; Optics; Mammography; Energy (signal processing); X-ray detector; Noise (video); Noise power; Physics; Computer science; Power (physics); Artificial intelligence","score_opus":0.017146628519796522,"score_gpt":0.2372648897564897,"score_spread":0.2201182612366932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088355935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59466654,0.00085403246,0.40174332,0.000074420685,0.000019856618,0.00006937737,0.00013322265,0.00030737498,0.002131839],"genre_scores_gemma":[0.9594964,0.00019248988,0.039363474,0.000010805692,0.000005573498,0.000025840649,0.00009582187,0.000019105013,0.0007904773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996855,0.000054580494,0.000018135199,0.00006117963,0.00014231881,0.000038285558],"domain_scores_gemma":[0.9990264,0.00053716113,0.00014062205,0.000069142465,0.00019168128,0.000034951325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069296785,0.0003743109,0.00047650473,0.00041578838,0.00014658774,0.0005011112,0.00043851728,0.00040180917,0.00080875994],"category_scores_gemma":[0.0025966775,0.00020282967,0.0005383326,0.00027135713,0.00018298652,0.00050152314,0.00030297716,0.00015400641,0.00015058363],"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":[0.0019379263,0.00015648665,0.01837212,0.00052065455,0.0002381502,0.00062167214,0.00019963781,0.46741176,0.37334225,0.012079302,0.00070701994,0.12441299],"study_design_scores_gemma":[0.0000075216226,0.00019806305,0.005143461,0.0000073604297,0.000043235024,0.00013788222,0.000015083303,0.96907705,0.024287805,0.00066977926,0.00039737794,0.000015346071],"about_ca_topic_score_codex":0.0013557599,"about_ca_topic_score_gemma":0.0010189736,"teacher_disagreement_score":0.0013557599,"about_ca_system_score_codex":0.000542837,"about_ca_system_score_gemma":0.0003514026,"threshold_uncertainty_score":0.0039385557},"labels":[],"label_agreement":null},{"id":"W2088385827","doi":"10.1117/12.536001","title":"High-resolution (20 cycles/mm) digital x-ray mammography using amorphous selenium directly coupled to CCD readout devices","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast 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":"Dalsa Corporation; Sunnybrook Health Science Centre; University of Saskatchewan; Women's College Hospital; University of Toronto","funders":"","keywords":"X-ray detector; Detector; Optical transfer function; Optics; Optoelectronics; Dark current; Materials science; Image resolution; Linearity; Physics; SIGNAL (programming language)","score_opus":0.009763439136453358,"score_gpt":0.2274338461014096,"score_spread":0.21767040696495624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088385827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70175034,0.002880264,0.2879225,0.00012121572,0.00006287617,0.00029620482,0.0006008255,0.0028761425,0.0034895681],"genre_scores_gemma":[0.6518171,0.00090104254,0.3436131,0.00009507679,0.00003281551,0.0001280476,0.00031539248,0.00009654171,0.0030009241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955624,0.00005771948,0.000030627405,0.00013604025,0.00018574913,0.000033589607],"domain_scores_gemma":[0.99955386,0.0002104106,0.000054644657,0.000053363445,0.00008080934,0.00004689288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052689924,0.0004021711,0.0005014636,0.0006634055,0.00014520978,0.00039661393,0.0005726386,0.00041105226,0.0016389771],"category_scores_gemma":[0.00079365534,0.00037957355,0.00014487993,0.000439392,0.00026460213,0.0004210628,0.0005273535,0.00027738174,0.0004175428],"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":[0.00014430235,0.000039091658,0.0020782473,0.00009835396,0.000014860602,0.00007598559,0.00003086633,0.0001829721,0.9826669,0.00017664788,0.00017039901,0.014321284],"study_design_scores_gemma":[0.00004352065,0.0005055373,0.018208941,0.000014341326,0.000033753728,0.0013870362,0.000028238035,0.0059408383,0.9690683,0.0001890716,0.004556782,0.000023608123],"about_ca_topic_score_codex":0.0004021462,"about_ca_topic_score_gemma":0.0010154475,"teacher_disagreement_score":0.0016389771,"about_ca_system_score_codex":0.0002819287,"about_ca_system_score_gemma":0.00015085826,"threshold_uncertainty_score":0.005482912},"labels":[],"label_agreement":null},{"id":"W2088601150","doi":"10.1118/1.2965989","title":"Sci‐Sat AM(1): Imaging‐05: Analytical scatter estimation for cone‐beam computed tomography","year":2008,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"CancerCare Manitoba","funders":"","keywords":"Monte Carlo method; Cone beam computed tomography; Estimator; Voxel; Computer science; Iterative reconstruction; Algorithm; Contrast (vision); Optics; Physics; Artificial intelligence; Mathematics; Computed tomography; Statistics","score_opus":0.01643845969773422,"score_gpt":0.2743304177505766,"score_spread":0.2578919580528424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088601150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006172235,0.0021535647,0.94301426,0.0012963545,0.0004441471,0.00009963244,0.00049604126,0.002324179,0.043999493],"genre_scores_gemma":[0.22153813,0.008441294,0.6889433,0.00080778124,0.0013394551,0.00048730543,0.0025406757,0.002142421,0.07375963],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956566,0.00012785662,0.000019933128,0.00004376759,0.00022370048,0.000019202715],"domain_scores_gemma":[0.999019,0.00042724673,0.000069978865,0.00016290232,0.00027799897,0.000042788568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008975321,0.00070463424,0.00036955916,0.0015171602,0.00053101516,0.001811836,0.0006294295,0.0008217569,0.035498418],"category_scores_gemma":[0.0052803094,0.000453587,0.00037900463,0.0018949647,0.00068347534,0.00092918484,0.000910809,0.0007861576,0.01646819],"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":[0.00033803418,0.00015695838,0.0026546828,0.0007154866,0.00006481682,0.00055548386,0.00019876644,0.09191374,0.036132198,0.15569226,0.097179145,0.6143984],"study_design_scores_gemma":[0.000046170957,0.0000783773,0.0028601787,0.00022337967,0.000032276017,0.0013194397,0.00005180443,0.7679835,0.019613098,0.07689253,0.13085312,0.000046046294],"about_ca_topic_score_codex":0.0017730007,"about_ca_topic_score_gemma":0.0022785335,"teacher_disagreement_score":0.035498418,"about_ca_system_score_codex":0.0007729579,"about_ca_system_score_gemma":0.0010781562,"threshold_uncertainty_score":0.11875403},"labels":[],"label_agreement":null},{"id":"W2088716543","doi":"10.1007/s10278-014-9735-7","title":"Foreign Exam Management in Practice: Seamless Access to Foreign Images and Results in a Regional Environment","year":2014,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Custom Security Industries (Canada); Integrity Testing Laboratory (Canada)","funders":"","keywords":"Computer science; Service (business); Medical physics; Medicine; Clinical Practice; Multimedia; Nursing; Business","score_opus":0.01777482039556892,"score_gpt":0.2905317902415233,"score_spread":0.2727569698459544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088716543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404647,0.0016091584,0.007944412,0.013843816,0.00020950496,0.00020263263,0.0005912767,0.00075705245,0.03437754],"genre_scores_gemma":[0.9836954,0.00075688807,0.010556796,0.0010687319,0.00014410251,0.000051387407,0.00018414599,0.000178516,0.0033640529],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976313,0.0010524145,0.00019902686,0.00022399206,0.00035372874,0.0005394886],"domain_scores_gemma":[0.99419254,0.00068586314,0.0009708003,0.00043431766,0.0009091888,0.00280735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028919135,0.00027048303,0.00027540012,0.00085846905,0.0015857085,0.0031006974,0.0010798053,0.0012786272,0.008630271],"category_scores_gemma":[0.009229973,0.00028172313,0.0003804818,0.00078943104,0.0007167674,0.0021688144,0.004019925,0.000919895,0.0022672627],"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":[0.0010760836,0.0019631311,0.6423688,0.0003004662,0.00009554421,0.03391274,0.012854173,0.002256588,0.0059806975,0.0019978967,0.028445177,0.26874876],"study_design_scores_gemma":[0.00017488257,0.00354687,0.71805847,0.00095244235,0.00019501525,0.09067755,0.07538213,0.0074741277,0.006359624,0.0036604074,0.09319249,0.00032600283],"about_ca_topic_score_codex":0.0058360584,"about_ca_topic_score_gemma":0.012114063,"teacher_disagreement_score":0.008630271,"about_ca_system_score_codex":0.001413801,"about_ca_system_score_gemma":0.0038679668,"threshold_uncertainty_score":0.028871119},"labels":[],"label_agreement":null},{"id":"W2088868316","doi":"10.1088/0031-9155/58/5/1479","title":"An inherent anti-scatter detector for megavoltage x-ray imaging","year":2013,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Toronto Metropolitan University; Health Sciences Centre; University of Toronto","funders":"Goddard Space Flight Center","keywords":"Detector; Optics; Physics; Image quality; Detective quantum efficiency; Monte Carlo method; X-ray detector; Flat panel detector; X-ray; Radiography; SIGNAL (programming language); Computer science; Image (mathematics); Artificial intelligence","score_opus":0.10951908104504375,"score_gpt":0.3735862325336722,"score_spread":0.2640671514886284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088868316","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2456609,0.0010189944,0.748996,0.00015932624,0.00007701935,0.000097003656,0.00008548027,0.0006243981,0.00328082],"genre_scores_gemma":[0.78268003,0.00043361232,0.21531434,0.0000841353,0.000011707466,0.000041552914,0.00007246749,0.00003629989,0.0013258045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997806,0.000041390984,0.0000075689195,0.000027330938,0.00012945525,0.000013690142],"domain_scores_gemma":[0.9997403,0.00009834505,0.000052403793,0.00003017067,0.00005766672,0.000021072607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004172774,0.00017376205,0.00023596724,0.00014525963,0.00013214212,0.0004040824,0.0003795674,0.00030247553,0.0008218478],"category_scores_gemma":[0.00073741557,0.00016734147,0.00016914944,0.00021776876,0.0002058254,0.0003779826,0.00029294743,0.00037849645,0.00017018174],"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":[0.000302735,0.00011512659,0.0077082724,0.0005016701,0.00005791093,0.00016921932,0.0001209725,0.03402939,0.88052285,0.014575852,0.00061701005,0.06127899],"study_design_scores_gemma":[0.000069640046,0.0010227973,0.008455055,0.000036249436,0.00007564216,0.0011145553,0.000036441877,0.3256439,0.6470734,0.0012674197,0.015162585,0.00004231922],"about_ca_topic_score_codex":0.00022370028,"about_ca_topic_score_gemma":0.00038015353,"teacher_disagreement_score":0.0008218478,"about_ca_system_score_codex":0.0002088592,"about_ca_system_score_gemma":0.00038940762,"threshold_uncertainty_score":0.0027493834},"labels":[],"label_agreement":null},{"id":"W2089397620","doi":"10.1007/s12194-014-0277-y","title":"Research in digital mammography and tomosynthesis at the University of Toronto","year":2014,"lang":"en","type":"review","venue":"Radiological Physics and Technology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Tomosynthesis; Mammography; Digital mammography; Medical physics; Computer science; Image quality; Breast cancer; Breast imaging; Medicine; Artificial intelligence; Cancer; Image (mathematics)","score_opus":0.03572121857219826,"score_gpt":0.30765163140376295,"score_spread":0.2719304128315647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089397620","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011788412,0.99742496,0.000062699015,0.0005223692,0.00028782035,0.0000030420852,0.000029726343,0.000004579319,0.0015469299],"genre_scores_gemma":[0.0011960816,0.99591917,0.00014196825,0.00022819868,0.00033930418,0.000003981234,0.000044501103,0.000002365685,0.002124392],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994056,0.00007422844,0.00008874886,0.00012855648,0.00023195868,0.00007090503],"domain_scores_gemma":[0.9976605,0.0006963606,0.00028834798,0.000070401395,0.0009419728,0.0003424178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011494856,0.001135926,0.0013186102,0.0068369457,0.0008739029,0.0021568656,0.0009644714,0.0020630558,0.0122620715],"category_scores_gemma":[0.0030996718,0.00055681734,0.00067091873,0.0094836475,0.0016773072,0.0017629293,0.0013807794,0.002040333,0.0033033597],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105189014,0.000057376288,0.0013528441,0.022862077,0.000098258024,0.00056312885,0.00045963694,0.0003796452,0.0017763822,0.0059388084,0.07143105,0.89497566],"study_design_scores_gemma":[0.000014992652,0.000052256586,0.0041435915,0.007958633,0.00012746634,0.0015409946,0.00019594641,0.000047808633,0.0005386872,0.0011020468,0.9842514,0.000026266214],"about_ca_topic_score_codex":0.041105583,"about_ca_topic_score_gemma":0.09874036,"teacher_disagreement_score":0.95889443,"about_ca_system_score_codex":0.004775009,"about_ca_system_score_gemma":0.011015534,"threshold_uncertainty_score":0.08173263},"labels":[],"label_agreement":null},{"id":"W2089685822","doi":"10.1007/s10549-010-0927-7","title":"Associations between mammographic density and serum and dietary cholesterol","year":2010,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","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":"University of Alberta; University of Calgary; Sunnybrook Health Science Centre; Sunnybrook Hospital; Ontario Institute for Cancer Research; Alberta Health Services","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Breast cancer; Internal medicine; Cholesterol; MAMMOGRAPHIC DENSITY; High-density lipoprotein; Endocrinology; Alcohol consumption; Cancer; Risk factor; Cross-sectional study; Estrogen; Physiology; Mammography; Alcohol; Biology","score_opus":0.04650573720300648,"score_gpt":0.3522955712805874,"score_spread":0.3057898340775809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089685822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960997,0.0013123547,0.00020581107,0.00015919567,0.000023200804,0.0000049551936,0.00078406587,0.000026750733,0.0013839157],"genre_scores_gemma":[0.9980952,0.00030850957,0.00020681188,0.000044789973,0.000033780885,0.0000064386722,0.00033982706,0.000005475014,0.00095918606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994229,0.00025482508,0.00006986676,0.00009481151,0.00007765591,0.000080007674],"domain_scores_gemma":[0.9937257,0.0033802749,0.0013916944,0.000573692,0.00042247612,0.0005062404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011752251,0.00044211646,0.00050622417,0.0010303024,0.00031001732,0.00092500367,0.00038870348,0.00086672395,0.0033874756],"category_scores_gemma":[0.007297187,0.00076524814,0.00084564625,0.0015673,0.00037531744,0.00054952555,0.00043303482,0.0011623235,0.00041334014],"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":[0.00085367495,0.000047383888,0.99737084,0.000010677936,0.00020609514,0.000039574337,0.000029479184,0.000047537917,0.00024261487,0.000034195993,0.000056512952,0.0010614743],"study_design_scores_gemma":[0.000015165217,0.00008323412,0.9989316,0.000003527046,0.00015410758,0.00014956674,0.00005308746,0.000345087,0.00008025659,0.000059085298,0.00012049413,0.0000048189004],"about_ca_topic_score_codex":0.008706695,"about_ca_topic_score_gemma":0.008200295,"teacher_disagreement_score":0.008706695,"about_ca_system_score_codex":0.00033614074,"about_ca_system_score_gemma":0.00037798748,"threshold_uncertainty_score":0.01731205},"labels":[],"label_agreement":null},{"id":"W2089823118","doi":"10.1118/1.2042248","title":"The x‐ray time of flight method for investigation of ghosting in amorphous selenium‐based flat panel medical x‐ray imagers","year":2005,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Ghosting; Fluoroscopy; Optics; X-ray; X-ray detector; Materials science; Nuclear medicine; Image quality; Physics; Detector; Medicine; Radiology; Computer science","score_opus":0.01796008233850524,"score_gpt":0.28397270274698366,"score_spread":0.2660126204084784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089823118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76835877,0.005055416,0.2235472,0.00010379239,0.000059513153,0.00014310787,0.00022130976,0.0005719862,0.0019389326],"genre_scores_gemma":[0.69664776,0.0021320172,0.29893446,0.00004669156,0.000012016753,0.000090251655,0.00012693244,0.000074519456,0.0019353197],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999676,0.00008711091,0.000022362523,0.00006065804,0.00012987075,0.000023984669],"domain_scores_gemma":[0.9990227,0.0005164794,0.00017704678,0.00007557547,0.00016743105,0.00004070713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010513169,0.00040539075,0.00026510592,0.0012554169,0.0002626667,0.00043027912,0.00047981515,0.00062175,0.00088918145],"category_scores_gemma":[0.0012081319,0.00023322411,0.00018149699,0.0006405914,0.00037998668,0.00054009655,0.00026621835,0.00052086194,0.00015065559],"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":[0.00018228238,0.00003421955,0.0019891176,0.00013529076,0.000015677388,0.00020743384,0.00014626338,0.000565408,0.9832706,0.0005712409,0.0000642627,0.01281812],"study_design_scores_gemma":[0.00001899239,0.0005053456,0.010522348,0.000027127851,0.000032486,0.0013842344,0.00017442905,0.03164349,0.95373654,0.0002550214,0.0016601769,0.000039692863],"about_ca_topic_score_codex":0.0008457301,"about_ca_topic_score_gemma":0.001170603,"teacher_disagreement_score":0.0012554169,"about_ca_system_score_codex":0.00028691808,"about_ca_system_score_gemma":0.00041006066,"threshold_uncertainty_score":0.005559981},"labels":[],"label_agreement":null},{"id":"W2090930556","doi":"10.1118/1.4772057","title":"Breast density measurements with ultrasound tomography: A comparison with film and digital mammography","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Susan G. Komen for the Cure","keywords":"Mammography; Breast cancer; Digital mammography; Ultrasound; Medicine; Breast ultrasound; Nuclear medicine; Radiology; Cancer; Internal medicine","score_opus":0.01154188406763404,"score_gpt":0.2247547403716434,"score_spread":0.21321285630400935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090930556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98228663,0.009812589,0.004844734,0.00019169481,0.00007234863,0.00004243194,0.00025760717,0.00007053155,0.0024214974],"genre_scores_gemma":[0.9932314,0.0022951933,0.0037250628,0.00006971547,0.00008149079,0.00001828401,0.00016699628,0.0000090053245,0.00040296247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791104,0.0010151614,0.00012480347,0.00020759487,0.0006936734,0.0000476993],"domain_scores_gemma":[0.9931926,0.0043066265,0.0012895056,0.00030603216,0.00075180054,0.0001534035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027389692,0.00035576613,0.0003099798,0.0021067094,0.00010500747,0.00069250964,0.000378596,0.00039788618,0.001167181],"category_scores_gemma":[0.017271234,0.00023129354,0.0002732492,0.0014590382,0.00031532085,0.0006736648,0.0004560976,0.0001810747,0.00023385248],"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":[0.0018370692,0.00006344701,0.89625806,0.00026151125,0.00030609267,0.000109870256,0.00015612108,0.00049223675,0.0050182557,0.00016867422,0.00026179245,0.09506691],"study_design_scores_gemma":[0.00009876045,0.0023783878,0.97769094,0.00014677731,0.00045351151,0.0035450682,0.00033070246,0.007288667,0.0052157734,0.00026961305,0.0025472245,0.000034608285],"about_ca_topic_score_codex":0.0009588964,"about_ca_topic_score_gemma":0.0010932399,"teacher_disagreement_score":0.0027389692,"about_ca_system_score_codex":0.00024437188,"about_ca_system_score_gemma":0.00014094127,"threshold_uncertainty_score":0.01448524},"labels":[],"label_agreement":null},{"id":"W2091317800","doi":"10.1088/0031-9155/52/8/009","title":"Physical characterization of a high-resolution CCD detector for mammography","year":2007,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast 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":"CancerCare Manitoba","funders":"","keywords":"Detective quantum efficiency; Detector; Optics; Optical transfer function; Physics; Noise (video); Materials science; Noise power; Image quality; Power (physics); Computer science","score_opus":0.07298684189096792,"score_gpt":0.34983886806918907,"score_spread":0.27685202617822113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091317800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5756678,0.005869327,0.40701362,0.00064307736,0.00022120157,0.0007289322,0.0008643725,0.0010689904,0.007922693],"genre_scores_gemma":[0.74911964,0.0013419975,0.24453025,0.00036625154,0.000051833653,0.00025320135,0.00063646137,0.00008995702,0.0036103583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99859434,0.00021481157,0.00005441215,0.00019726339,0.0008805838,0.000058573238],"domain_scores_gemma":[0.99786854,0.00071705,0.00018967463,0.00017251454,0.0009355667,0.0001165463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013076408,0.00036815312,0.00046921326,0.0005903598,0.00034009456,0.0008437049,0.0014238104,0.000897197,0.001726274],"category_scores_gemma":[0.004056601,0.00029824124,0.0002276223,0.00072432,0.00032448783,0.00055153447,0.0003610016,0.0002797516,0.00053078186],"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":[0.000106082145,0.000061256505,0.004062767,0.00025050982,0.0000303694,0.00018438419,0.000072159215,0.0006981293,0.97824544,0.0007891333,0.00076363486,0.014736112],"study_design_scores_gemma":[0.000051588984,0.00088084117,0.027717693,0.000035834124,0.00009089845,0.0022410867,0.000095160336,0.024274537,0.9253901,0.00021560985,0.018956965,0.000049531987],"about_ca_topic_score_codex":0.0009532443,"about_ca_topic_score_gemma":0.00084378285,"teacher_disagreement_score":0.001726274,"about_ca_system_score_codex":0.0008940724,"about_ca_system_score_gemma":0.0007507345,"threshold_uncertainty_score":0.0069155097},"labels":[],"label_agreement":null},{"id":"W2091775056","doi":"10.1118/1.3352586","title":"Anatomical background and generalized detectability in tomosynthesis and cone‐beam CT","year":2010,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"California State University, Fullerton; National Institutes of Health; National Cancer Institute; California State University; Johns Hopkins University","keywords":"Tomosynthesis; Imaging phantom; Cone beam computed tomography; Physics; Detector; Noise (video); Optics; Computer science; Mammography; Artificial intelligence; Computed tomography; Medicine; Image (mathematics)","score_opus":0.014590516409736163,"score_gpt":0.2704184222627238,"score_spread":0.2558279058529876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091775056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6681467,0.0004373119,0.32944438,0.00006081224,0.000013043075,0.000054178847,0.000065844375,0.00030295696,0.0014747296],"genre_scores_gemma":[0.95192903,0.00015899281,0.04740288,0.000023458484,0.000017505803,0.000027704662,0.0000999895,0.000050700346,0.00028967127],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993394,0.00015566815,0.000032283795,0.00013253254,0.0003019381,0.000038040693],"domain_scores_gemma":[0.9968773,0.00203027,0.00047448126,0.00019835253,0.00032222702,0.00009723146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012703006,0.0005676886,0.00026717468,0.0011727068,0.00019359987,0.00081759115,0.00040059467,0.00044591798,0.00061252306],"category_scores_gemma":[0.006439689,0.0003875282,0.00031384468,0.0004994884,0.0008879483,0.0010139492,0.00068699394,0.00033640076,0.00012738998],"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":[0.0013641013,0.00019136329,0.04168701,0.00056748977,0.00019495019,0.0010787377,0.0006411274,0.2295668,0.52534235,0.011111837,0.00039537947,0.18785879],"study_design_scores_gemma":[0.000037156155,0.0007845453,0.14226605,0.00006814538,0.00013331255,0.0021913522,0.00011383084,0.69427645,0.14837036,0.009851831,0.0017972455,0.000109742665],"about_ca_topic_score_codex":0.0008357359,"about_ca_topic_score_gemma":0.0008608764,"teacher_disagreement_score":0.0012703006,"about_ca_system_score_codex":0.00060396746,"about_ca_system_score_gemma":0.00029488065,"threshold_uncertainty_score":0.0067180395},"labels":[],"label_agreement":null},{"id":"W2092978511","doi":"10.1158/1538-7445.am2013-2286","title":"Abstract 2286: Short term reduction in mammographic density predicts survival in breast cancer.","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Cancer; Internal medicine; Oncology; Prospective cohort study; Observational study; Proportional hazards model; Biomarker; Surrogate endpoint","score_opus":0.047109707922575864,"score_gpt":0.3634045102780533,"score_spread":0.31629480235547747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092978511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884469,0.0029478136,0.0003994141,0.00069718267,0.00007117335,0.000039225335,0.006129342,0.0000425655,0.0012263565],"genre_scores_gemma":[0.9957391,0.00033546053,0.00032587736,0.00005408748,0.00008192803,0.00002539542,0.002438221,0.0000053570457,0.0009945721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975926,0.00008262132,0.000024147237,0.00004470039,0.00005705459,0.000032140866],"domain_scores_gemma":[0.99815255,0.0005413162,0.00061477645,0.0001487532,0.00016027494,0.0003822629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007658266,0.000332429,0.00023450713,0.00035854927,0.00014886983,0.0003871835,0.0004538852,0.0004967386,0.00340313],"category_scores_gemma":[0.0026758502,0.00019141432,0.00052841415,0.00050476374,0.00017057992,0.0002854567,0.00029794738,0.00079404307,0.0004923881],"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":[0.00072835723,0.00007238672,0.9946563,0.000045881967,0.00013353057,0.000037133785,0.000013148224,0.000096834585,0.00023676004,0.000014280976,0.0007877038,0.0031776223],"study_design_scores_gemma":[0.00002398561,0.00012474126,0.9988776,0.0000068386435,0.00005684548,0.00008831386,0.000011849508,0.0005160782,0.00005315369,0.000020283016,0.0002183035,0.0000020062212],"about_ca_topic_score_codex":0.0050414517,"about_ca_topic_score_gemma":0.0042214612,"teacher_disagreement_score":0.0050414517,"about_ca_system_score_codex":0.0002092802,"about_ca_system_score_gemma":0.00038863847,"threshold_uncertainty_score":0.011384606},"labels":[],"label_agreement":null},{"id":"W2093500112","doi":"10.1118/1.3694105","title":"Visibility of microcalcification clusters and masses in breast tomosynthesis image volumes and digital mammography: A 4AFC human observer study","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Malmö Högskola","keywords":"Microcalcification; Mammography; Image quality; Nuclear medicine; Visibility; Digital mammography; Contrast (vision); Observer (physics); Digital Breast Tomosynthesis; Tomosynthesis; Computer vision; Artificial intelligence; Mathematics; Medicine; Computer science; Physics; Optics; Image (mathematics)","score_opus":0.014407816589520847,"score_gpt":0.27658919013564737,"score_spread":0.26218137354612653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093500112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958253,0.0001680616,0.0034970387,0.000017649872,0.000015707183,0.00007758312,0.00004963866,0.000025589126,0.00032366186],"genre_scores_gemma":[0.9964342,0.000028509568,0.003009447,0.000025964622,0.000014322433,0.000066357126,0.00008532955,0.000019502302,0.00031635878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944055,0.003425742,0.00031283416,0.0010417865,0.0006468982,0.00016724426],"domain_scores_gemma":[0.970517,0.020340277,0.0028368435,0.002660747,0.0027707128,0.00087448943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070394496,0.000649827,0.00056649005,0.00046585183,0.00027213828,0.0005633096,0.00044446933,0.000773801,0.0018193471],"category_scores_gemma":[0.029118003,0.00038239596,0.0005130551,0.0001510068,0.00077214045,0.0005516391,0.00086554873,0.00031146334,0.00031168968],"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":[0.0509571,0.005887811,0.48251143,0.0016654327,0.0014852285,0.0016697185,0.011945551,0.0071574706,0.34994662,0.00041419183,0.0012907903,0.08506865],"study_design_scores_gemma":[0.0012928918,0.03382725,0.8721909,0.000069329646,0.00069680397,0.004918823,0.0016622288,0.028644102,0.05249133,0.00055170717,0.0034126418,0.00024198725],"about_ca_topic_score_codex":0.00060115085,"about_ca_topic_score_gemma":0.00091252156,"teacher_disagreement_score":0.0070394496,"about_ca_system_score_codex":0.00029274137,"about_ca_system_score_gemma":0.00016065623,"threshold_uncertainty_score":0.037228584},"labels":[],"label_agreement":null},{"id":"W2094937434","doi":"10.1118/1.3702455","title":"Spectral analysis of fundamental signal and noise performances in photoconductors for mammography","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detective quantum efficiency; Quantum efficiency; Noise (video); Physics; Quantum noise; Optics; Monte Carlo method; Materials science; X-ray detector; Detector; Optoelectronics; Computational physics; Quantum; Image quality; Mathematics; Image (mathematics); Quantum mechanics; Statistics","score_opus":0.01721601042329849,"score_gpt":0.2839625146869452,"score_spread":0.2667465042636467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094937434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8016936,0.0006636762,0.19499512,0.00009379139,0.000009713223,0.000029706058,0.00008964115,0.00045310264,0.0019715705],"genre_scores_gemma":[0.98364174,0.00016194247,0.015478346,0.000012968322,0.0000030358424,0.000014441182,0.000074185315,0.000030869793,0.00058240496],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997086,0.000059367616,0.000009322132,0.00005658132,0.00014871424,0.000017392751],"domain_scores_gemma":[0.9994344,0.00035986272,0.000057714256,0.000041207084,0.00009401798,0.000012806233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006002912,0.00032244236,0.0002698332,0.00029524014,0.00018975214,0.00033934126,0.0004825969,0.0004209149,0.0010127607],"category_scores_gemma":[0.0017400889,0.00019808012,0.00028972852,0.00026290322,0.00035258735,0.0003995687,0.00026310183,0.00022697778,0.00022330947],"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":[0.00069879455,0.00013531295,0.025726058,0.00041293414,0.00013807206,0.00033457525,0.00028367937,0.2520331,0.6648531,0.007218849,0.0003339345,0.04783156],"study_design_scores_gemma":[0.0000142838235,0.00020449913,0.009579117,0.00001740847,0.000032598513,0.0003008812,0.00003976779,0.6383132,0.348926,0.0014692923,0.001079638,0.000023303039],"about_ca_topic_score_codex":0.0009893323,"about_ca_topic_score_gemma":0.0008161977,"teacher_disagreement_score":0.0010127607,"about_ca_system_score_codex":0.0007063716,"about_ca_system_score_gemma":0.00024111853,"threshold_uncertainty_score":0.0051251054},"labels":[],"label_agreement":null},{"id":"W2096677902","doi":"10.1371/journal.pone.0100937","title":"Evidence That Breast Tissue Stiffness Is Associated with Risk of Breast Cancer","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":152,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Ontario Institute for Cancer Research","funders":"Canadian Breast Cancer Research Alliance","keywords":"Breast cancer; Medicine; Mammography; Odds ratio; Cancer; Breast tissue; Confidence interval; Oncology; Internal medicine","score_opus":0.0372910505264479,"score_gpt":0.24836332389209256,"score_spread":0.21107227336564466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096677902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695011,0.02165106,0.0031278133,0.0010403811,0.00008321552,0.000013504822,0.00056313555,0.000051206465,0.0039685257],"genre_scores_gemma":[0.9942306,0.0043265233,0.00071827014,0.000097329736,0.00008675083,0.0000079788715,0.00022313678,0.000006901004,0.00030247786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895084,0.00031169923,0.000095754316,0.00024568944,0.00033183183,0.0000640654],"domain_scores_gemma":[0.98284495,0.0072929617,0.0073788725,0.0008960483,0.0011382137,0.0004488853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013542417,0.00040156982,0.00031586303,0.001210174,0.00020525961,0.0006805498,0.00037991497,0.0005116038,0.0037714073],"category_scores_gemma":[0.010138438,0.00027573906,0.00046982418,0.0010231326,0.0006170033,0.00039970584,0.00053484575,0.0005954002,0.0004147605],"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":[0.00030971554,0.000028403012,0.98717475,0.00018648113,0.0004488886,0.00015722631,0.000057040997,0.00037755715,0.0019976173,0.00011051161,0.00016416899,0.008987701],"study_design_scores_gemma":[0.0000055206006,0.00012043167,0.9972595,0.000055541845,0.00015569862,0.00080864754,0.000054288346,0.00039299353,0.00043822452,0.00022685516,0.00047365928,0.000008677218],"about_ca_topic_score_codex":0.00122837,"about_ca_topic_score_gemma":0.0010855757,"teacher_disagreement_score":0.0037714073,"about_ca_system_score_codex":0.00023698952,"about_ca_system_score_gemma":0.00020956834,"threshold_uncertainty_score":0.012616575},"labels":[],"label_agreement":null},{"id":"W2098404873","doi":"","title":"Java-based remote viewing and processing of nuclear medicine images: toward \"the imaging department without walls\".","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Java applet; Workstation; Software; Computer graphics (images); Java; The Internet; Artificial intelligence; Computer vision; Operating system","score_opus":0.01749383339535925,"score_gpt":0.23705536142579733,"score_spread":0.21956152803043807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098404873","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027442178,0.001466442,0.90130514,0.0012709036,0.00033735175,0.00043304905,0.00030753057,0.05845722,0.008980284],"genre_scores_gemma":[0.120735124,0.0011279358,0.85127157,0.0012245297,0.0003809026,0.00034676003,0.0017430612,0.0058917734,0.017278448],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876785,0.00031350012,0.00009581925,0.00023357396,0.0004991486,0.00009020085],"domain_scores_gemma":[0.99670815,0.0009603185,0.00033921906,0.0008179024,0.0006807029,0.0004936616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023774293,0.00065784046,0.0003574024,0.000402294,0.00026915537,0.002086122,0.0027767178,0.00078353507,0.0074972],"category_scores_gemma":[0.0044607758,0.00042634766,0.00052316097,0.0004282846,0.00078216166,0.0019750614,0.0015390458,0.0014138664,0.005185731],"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":[0.0014169097,0.0009244175,0.006330153,0.0009897489,0.000095581,0.0006256166,0.00087902026,0.00384261,0.12041646,0.012832315,0.054305628,0.79734147],"study_design_scores_gemma":[0.0010826373,0.0019399922,0.026868831,0.0010608425,0.00035136775,0.005056823,0.00047768105,0.2345042,0.16846156,0.013158072,0.5466031,0.00043492732],"about_ca_topic_score_codex":0.001019377,"about_ca_topic_score_gemma":0.0009656772,"teacher_disagreement_score":0.0074972,"about_ca_system_score_codex":0.00029993043,"about_ca_system_score_gemma":0.0009056381,"threshold_uncertainty_score":0.025080621},"labels":[],"label_agreement":null},{"id":"W2100442263","doi":"10.1200/jco.2010.33.7964","title":"Mammographic Density, Response to Hormones, and Breast Cancer Risk","year":2011,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Medicine; Breast cancer; Hormone; Oncology; Cancer; Internal medicine; MAMMOGRAPHIC DENSITY; Mammography","score_opus":0.081656805638529,"score_gpt":0.41261505337620374,"score_spread":0.33095824773767474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100442263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972881,0.0018214311,0.00011116408,0.00007017854,0.0000063635666,0.000010719534,0.0002936259,0.000005776361,0.0003925158],"genre_scores_gemma":[0.99940264,0.000219261,0.00010829742,0.000020441787,0.000010381774,0.0000068822833,0.0001595506,8.6753516e-7,0.00007177683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994567,0.00023127868,0.000045470908,0.000096431075,0.00012282908,0.000047274913],"domain_scores_gemma":[0.99683857,0.0010548678,0.0014712063,0.00017298856,0.00019430862,0.0002679749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087554444,0.00020580126,0.00018913765,0.0008333089,0.00023890339,0.0005048566,0.00032738136,0.00032008154,0.0010323195],"category_scores_gemma":[0.0062392307,0.00021085773,0.0002767499,0.00069895503,0.00036174676,0.00014014683,0.00028063098,0.00030724323,0.00010929608],"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":[0.00009174767,0.000016551106,0.99875283,0.00001101564,0.0000719009,0.00002707056,0.00001594483,0.000024316441,0.00020014629,0.000008275903,0.00002572839,0.00075437024],"study_design_scores_gemma":[0.000005631901,0.00006922763,0.99939966,0.0000037577524,0.000042816013,0.00019538128,0.00001235149,0.00005158282,0.00010968753,0.00001674269,0.000091807,0.0000013412358],"about_ca_topic_score_codex":0.0036745684,"about_ca_topic_score_gemma":0.0025109118,"teacher_disagreement_score":0.0036745684,"about_ca_system_score_codex":0.0002365782,"about_ca_system_score_gemma":0.00015867525,"threshold_uncertainty_score":0.0073063374},"labels":[],"label_agreement":null},{"id":"W2101699753","doi":"10.1158/1055-9965.epi-05-0569","title":"Physical Activity in Relation to Mammographic Density in the Dutch Prospect-European Prospective Investigation into Cancer and Nutrition Cohort","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Cancer Foundation","funders":"","keywords":"MAMMOGRAPHIC DENSITY; European Prospective Investigation into Cancer and Nutrition; Physical activity; Breast cancer; Prospective cohort study; Medicine; Relation (database); Cohort; Gerontology; Mammography; Cancer; Demography; Environmental health; Internal medicine; Physical therapy; Sociology; Computer science","score_opus":0.019660742296146175,"score_gpt":0.3201113149490997,"score_spread":0.30045057265295355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101699753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950376,0.0005963456,0.00019591328,0.000053208423,0.000009914243,0.000025255797,0.0035554164,0.0000034557982,0.00052290445],"genre_scores_gemma":[0.9926479,0.00041009384,0.0003889545,0.00004685753,0.000008615653,0.00007737534,0.005716288,0.0000065710783,0.0006972849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932945,0.0002411738,0.000063664236,0.00018683981,0.00010706667,0.000071908245],"domain_scores_gemma":[0.99934775,0.00009971598,0.00021691482,0.000080644255,0.0001110734,0.00014385994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012759076,0.00029499788,0.00039041624,0.0006558935,0.00027205216,0.0005713097,0.00044900397,0.00040939203,0.0010044187],"category_scores_gemma":[0.0021038905,0.00034505644,0.00047571733,0.0013781859,0.00018422074,0.0003383908,0.0006826955,0.00031026363,0.00019546154],"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":[0.0005628823,0.000043136184,0.9966516,0.000026220543,0.0002378625,0.00014127484,0.00011938063,0.00007935274,0.000391073,0.00004006678,0.00055453036,0.0011527509],"study_design_scores_gemma":[0.000024375533,0.00004219631,0.9990854,0.0000071022546,0.000041482177,0.00012330023,0.00007377198,0.00012053291,0.000027564443,0.000012869638,0.0004380898,0.0000034159016],"about_ca_topic_score_codex":0.04086057,"about_ca_topic_score_gemma":0.051747747,"teacher_disagreement_score":0.04086057,"about_ca_system_score_codex":0.00041674887,"about_ca_system_score_gemma":0.00029608328,"threshold_uncertainty_score":0.08124548},"labels":[],"label_agreement":null},{"id":"W2101844355","doi":"10.1007/s10552-015-0551-2","title":"Mammographic density and breast cancer risk by family history in women of white and Asian ancestry","year":2015,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Breast cancer; Odds ratio; Family history; Mammography; Confounding; Logistic regression; Demography; Epidemiology; Gynecology; Internal medicine; Cancer","score_opus":0.013783118042874973,"score_gpt":0.24166397015808538,"score_spread":0.22788085211521042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101844355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903274,0.00025076163,0.00004286414,0.000040517058,0.0000065779946,0.0000021611806,0.00014485866,0.0000026309206,0.00047693754],"genre_scores_gemma":[0.99920505,0.000104727056,0.000028201288,0.000022879825,0.000010441764,0.0000023826165,0.00014699732,0.000001902011,0.00047742395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997596,0.00006753642,0.00001849136,0.00005535742,0.000033703785,0.000065348206],"domain_scores_gemma":[0.9994161,0.00012178181,0.00018601591,0.000046607474,0.000047654532,0.00018184641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043036937,0.0003059221,0.00034226882,0.0008277352,0.0005533854,0.00063198805,0.0003906789,0.0005017115,0.003021847],"category_scores_gemma":[0.0014440165,0.00044701196,0.0007659967,0.0009916674,0.00034267252,0.0005201753,0.0005314167,0.0006897469,0.00031856302],"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":[0.00021268165,0.00004005602,0.9985936,0.0000036678803,0.00010927354,0.00005572552,0.00013024325,0.000016870319,0.00016035157,0.00002268654,0.0000481855,0.00060653075],"study_design_scores_gemma":[0.0000042060115,0.00004216355,0.99925,0.000002569676,0.00004673823,0.000086920954,0.00033993594,0.000115330266,0.000021315305,0.000019370214,0.00006924902,0.0000021718877],"about_ca_topic_score_codex":0.032959394,"about_ca_topic_score_gemma":0.034190882,"teacher_disagreement_score":0.032959394,"about_ca_system_score_codex":0.00028372183,"about_ca_system_score_gemma":0.0002519195,"threshold_uncertainty_score":0.06553513},"labels":[],"label_agreement":null},{"id":"W2101999644","doi":"10.1007/s10278-005-9245-8","title":"Impact of PACS on Dictation Turnaround Time and Productivity","year":2005,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; HEC Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Dictation; Turnaround time; Medicine; Picture archiving and communication system; Radiology; Radiography; Productivity; Computed radiography; Radiology information systems; Nuclear medicine; Image quality; Computer science","score_opus":0.00749569212476946,"score_gpt":0.27529109768310434,"score_spread":0.26779540555833486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101999644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98925763,0.00065817445,0.00052974594,0.0015170479,0.00020993612,0.000037515263,0.00054386153,0.00012580099,0.0071203075],"genre_scores_gemma":[0.9973641,0.00019139919,0.0006779805,0.00015799345,0.00012563966,0.00002925884,0.00029681262,0.000048518246,0.0011082502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940692,0.0023605784,0.0006237433,0.00048811687,0.0016462073,0.00081203954],"domain_scores_gemma":[0.81001055,0.160768,0.008163794,0.00325657,0.012769147,0.005031911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046229986,0.00039630875,0.0005085616,0.0014125764,0.00088230654,0.0027021193,0.0006115897,0.0010287958,0.013216261],"category_scores_gemma":[0.097189926,0.00038095785,0.00073813024,0.0016075331,0.00036330006,0.0012961272,0.00081914174,0.0011229032,0.001868055],"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":[0.019424578,0.0028244485,0.73415834,0.00036418095,0.00041593608,0.0016700554,0.001865469,0.0068187076,0.0075960336,0.00065103784,0.010561937,0.21364929],"study_design_scores_gemma":[0.00050729676,0.004319203,0.9699426,0.00011216752,0.00055091653,0.0018750197,0.0024134384,0.009035151,0.006228125,0.0006438681,0.004291621,0.00008062675],"about_ca_topic_score_codex":0.005281199,"about_ca_topic_score_gemma":0.0040594377,"teacher_disagreement_score":0.013216261,"about_ca_system_score_codex":0.0018806905,"about_ca_system_score_gemma":0.0032928514,"threshold_uncertainty_score":0.04421276},"labels":[],"label_agreement":null},{"id":"W2102240368","doi":"10.1109/iembs.2000.898020","title":"Appropriate phantom for automatic exposure control compensation testing in mammography","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Capital District Health Authority","funders":"","keywords":"Imaging phantom; Mammography; Automatic exposure control; Computer science; Biomedical engineering; Compensation (psychology); Medical physics; Materials science; Computer vision; Nuclear medicine; Medicine; Breast cancer","score_opus":0.02865845368061886,"score_gpt":0.24274561051199967,"score_spread":0.2140871568313808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102240368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052265953,0.0036186299,0.9265558,0.00048163853,0.00053008675,0.003287288,0.00053823076,0.0050238124,0.007698514],"genre_scores_gemma":[0.11830592,0.001504722,0.8725544,0.00043320906,0.00008966072,0.0020460207,0.0007413069,0.00065894605,0.0036657914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99598014,0.0017983695,0.00031653384,0.00031071718,0.0014335868,0.00016064379],"domain_scores_gemma":[0.9935976,0.0035477984,0.0004764172,0.0011413873,0.0010776971,0.00015907196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058124736,0.0007602677,0.00065366074,0.0013947682,0.0005338167,0.0007600489,0.0010566869,0.0013807142,0.006948377],"category_scores_gemma":[0.014898118,0.0006717562,0.00037998977,0.0010729358,0.00045842456,0.00086345646,0.0008013044,0.00066696794,0.0021039825],"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":[0.0010811196,0.0005089806,0.0029627692,0.0011004481,0.000022816865,0.00047207586,0.0002550738,0.003104612,0.8318094,0.005928266,0.0053032343,0.14745118],"study_design_scores_gemma":[0.00022351692,0.0033172918,0.0128591275,0.00048018317,0.0001397488,0.007266786,0.00014225919,0.01888801,0.84346026,0.0031417331,0.109905414,0.00017562293],"about_ca_topic_score_codex":0.0002151075,"about_ca_topic_score_gemma":0.00049700594,"teacher_disagreement_score":0.006948377,"about_ca_system_score_codex":0.00031412876,"about_ca_system_score_gemma":0.00075417385,"threshold_uncertainty_score":0.030739725},"labels":[],"label_agreement":null},{"id":"W2102516545","doi":"10.1109/imac.1989.693761","title":"Principles And Problems Of Technology Assessment; The Case Of Picture Archiving And Communication Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Multimedia","score_opus":0.012898944791163333,"score_gpt":0.2696610047698588,"score_spread":0.2567620599786955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102516545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009305106,0.047440153,0.54064965,0.11173623,0.0017500799,0.0004508955,0.00010447981,0.00021058216,0.2883529],"genre_scores_gemma":[0.47900262,0.03705297,0.4467033,0.009894383,0.0033276535,0.0016001492,0.00008438203,0.00021376125,0.022120694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9500758,0.03054819,0.0022477163,0.0020059263,0.013487693,0.0016346707],"domain_scores_gemma":[0.95033276,0.041287445,0.0019526661,0.0021681204,0.0036548132,0.000604224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03625332,0.0016823891,0.0017915554,0.0065354495,0.006788086,0.019689608,0.0041721878,0.013763088,0.003052572],"category_scores_gemma":[0.051606573,0.0016214565,0.0014726853,0.0064278343,0.055129286,0.02224345,0.010317684,0.012542611,0.0010202355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004270762,0.000010583148,0.00013650917,0.00008881424,0.000006645947,0.0002728826,0.0009284997,0.0011386694,0.000038302824,0.9859714,0.0015444666,0.009858913],"study_design_scores_gemma":[0.00000944754,0.000016175163,0.00011256297,0.0002793852,0.0000072870544,0.0005330383,0.0009139849,0.0030672904,0.00011689793,0.9557198,0.039194293,0.000029807708],"about_ca_topic_score_codex":0.0060277455,"about_ca_topic_score_gemma":0.0030955696,"teacher_disagreement_score":0.03625332,"about_ca_system_score_codex":0.007821108,"about_ca_system_score_gemma":0.006522821,"threshold_uncertainty_score":0.19172817},"labels":[],"label_agreement":null},{"id":"W2106284140","doi":"10.1259/bjr/68819456","title":"Influence of menopausal status and use of hormone replacement therapy on radiation dose from mammography in routine breast screening","year":2006,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","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":"Cancer Research UK; McGill University","keywords":"Medicine; Hormone replacement therapy (female-to-male); Mammography; Menopause; Gynecology; Breast screening; Screening mammography; Obstetrics; Breast cancer; Internal medicine; Cancer","score_opus":0.00850020661335409,"score_gpt":0.2305167660405384,"score_spread":0.2220165594271843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106284140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861324,0.000840298,0.00006723252,0.000025650415,0.0000027913175,0.000006838842,0.000039511415,0.0000024305982,0.00040202466],"genre_scores_gemma":[0.99938154,0.00023068572,0.00009882159,0.000014613946,0.000006742907,0.000004230805,0.000044256358,0.0000019390518,0.00021702064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991755,0.00048152485,0.000052529358,0.000069326845,0.00016021458,0.00006094308],"domain_scores_gemma":[0.9968911,0.0019234074,0.00071453984,0.0001236493,0.00014250445,0.00020483998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090171566,0.00018411537,0.00023753197,0.00044668163,0.00015157388,0.0003298941,0.00018668962,0.00024945196,0.0011120538],"category_scores_gemma":[0.0063072597,0.00024096269,0.00033904795,0.00036075697,0.00020792117,0.0001888945,0.00024892474,0.00018502945,0.00013414037],"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":[0.0020340707,0.00011560179,0.9802741,0.000054112174,0.00013087748,0.0002394215,0.0003073166,0.00012397366,0.0032650814,0.000016119906,0.00004451409,0.013394865],"study_design_scores_gemma":[0.0000093447115,0.00054082915,0.99857914,0.000004046617,0.00003225837,0.00027964896,0.00005166409,0.00006441361,0.00029424808,0.000007369153,0.00013494276,0.000002132631],"about_ca_topic_score_codex":0.0021419076,"about_ca_topic_score_gemma":0.0037136108,"teacher_disagreement_score":0.0021419076,"about_ca_system_score_codex":0.00023026159,"about_ca_system_score_gemma":0.00017008845,"threshold_uncertainty_score":0.004768789},"labels":[],"label_agreement":null},{"id":"W2107050615","doi":"10.1117/12.650195","title":"Low-cost digital radiographic imaging systems: the x-ray light valve","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"National Institutes of Health","keywords":"Digital radiography; Radiography; Computed radiography; Charge-coupled device; Computer science; Projection (relational algebra); Flat panel detector; Flat panel; Computer vision; Artificial intelligence; Image quality; X-ray; Active matrix; Digital imaging; Optics; Computer graphics (images); Digital image; Image processing; Materials science; Physics; Radiology; Detector; Medicine; Image (mathematics); Layer (electronics); Algorithm; Telecommunications; Nanotechnology","score_opus":0.005681960139576173,"score_gpt":0.20747999973463702,"score_spread":0.20179803959506085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107050615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061168395,0.04630793,0.8098446,0.004620088,0.001950218,0.0005271279,0.0005350374,0.015314658,0.05973189],"genre_scores_gemma":[0.48138657,0.012120353,0.44471136,0.0021597776,0.001248821,0.00032636154,0.0005100391,0.0010616356,0.05647497],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99845576,0.00018455565,0.000076946715,0.00020570692,0.0009934884,0.000083593324],"domain_scores_gemma":[0.9988237,0.00044162254,0.00017243694,0.00016073197,0.00027435433,0.00012713745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012429097,0.00051639974,0.000569232,0.0008617587,0.00044112638,0.0028879233,0.001951279,0.0013502288,0.010905825],"category_scores_gemma":[0.0032810615,0.0004338471,0.0002887215,0.00057627383,0.0006937733,0.0025988321,0.0014183363,0.0009970218,0.005204228],"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":[0.0010725028,0.00017948258,0.003184618,0.002019287,0.000048801146,0.00054497377,0.00027583053,0.0014579138,0.29967847,0.055533916,0.024409398,0.61159486],"study_design_scores_gemma":[0.00028325696,0.0014136131,0.0055252975,0.0003318929,0.00014877094,0.008695445,0.00014993877,0.018892597,0.41679046,0.010268583,0.5372606,0.00023958889],"about_ca_topic_score_codex":0.0003273071,"about_ca_topic_score_gemma":0.000217969,"teacher_disagreement_score":0.010905825,"about_ca_system_score_codex":0.00059503346,"about_ca_system_score_gemma":0.0006045336,"threshold_uncertainty_score":0.036483645},"labels":[],"label_agreement":null},{"id":"W2107608615","doi":"10.1016/j.carj.2014.02.001","title":"Clinical Image Quality in Daily Practice of Breast Cancer Mammography Screening","year":2014,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Memorial University of Newfoundland; Cancer Care Ontario; Ministère de la Santé et des Services Sociaux (Québec); Hôpital Maisonneuve-Rosemont; Centre hospitalier universitaire de Québec; Institut National de Santé Publique du Québec","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Breast Cancer Research Alliance","keywords":"Medicine; Mammography; Clinical Practice; Breast cancer; Breast cancer screening; Medical physics; Mammography screening; Cancer; Radiology; Family medicine; Gynecology; Internal medicine","score_opus":0.0198901188545265,"score_gpt":0.34729830352630087,"score_spread":0.32740818467177435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107608615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98964524,0.0035193134,0.0011761088,0.0010399217,0.000039657276,0.000108633416,0.00092714437,0.000050631177,0.0034933765],"genre_scores_gemma":[0.9984378,0.00022037502,0.0008339344,0.00007575848,0.000014412199,0.000014197041,0.00020213437,0.0000040557065,0.00019729607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9917253,0.0023268699,0.00068451685,0.00068629347,0.0041904156,0.00038658184],"domain_scores_gemma":[0.9556208,0.009153086,0.018212572,0.0011745717,0.013992204,0.0018467834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006493746,0.00022894306,0.00027591264,0.0013695009,0.00042917798,0.0014653186,0.0009979564,0.00064112607,0.001539707],"category_scores_gemma":[0.04326918,0.00018487532,0.0002163377,0.0013995044,0.0008416806,0.00055059243,0.0007900432,0.00035723942,0.00019456551],"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":[0.000087237175,0.000019774303,0.9851163,0.00009075712,0.00005339663,0.00004677046,0.00048357458,0.000117722746,0.00019505821,0.000016279368,0.0007308948,0.013042146],"study_design_scores_gemma":[0.0000034423404,0.000049109403,0.9987431,0.000031878906,0.000010433742,0.00010278073,0.0002630125,0.00028062632,0.00006896693,0.000013802243,0.00042689315,0.0000058406326],"about_ca_topic_score_codex":0.2078678,"about_ca_topic_score_gemma":0.24769315,"teacher_disagreement_score":0.2078678,"about_ca_system_score_codex":0.0048024817,"about_ca_system_score_gemma":0.0029097535,"threshold_uncertainty_score":0.41331577},"labels":[],"label_agreement":null},{"id":"W2107945302","doi":"10.1088/0031-9155/55/11/003","title":"Validation of a method for measuring the volumetric breast density from digital mammograms","year":2010,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":57,"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 Health Network; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering; University of California, Davis; Terry Fox Foundation","keywords":"Mammography; Calibration; Scanner; Detector; Materials science; Nuclear medicine; Digital mammography; Tomography; Biomedical engineering; Mathematics; Physics; Medicine; Optics; Breast cancer","score_opus":0.10703262285496082,"score_gpt":0.3607458967838592,"score_spread":0.2537132739288984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107945302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2264505,0.00095457217,0.76696885,0.00015522403,0.0001528468,0.00037357598,0.00045705034,0.002655127,0.0018322481],"genre_scores_gemma":[0.3673467,0.00039835545,0.629906,0.00012004739,0.000027323884,0.00023231248,0.00060689927,0.0002529122,0.0011094223],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981018,0.00047123674,0.000112936,0.00034744927,0.00091909315,0.000047560643],"domain_scores_gemma":[0.995053,0.0027824047,0.00023273026,0.0005725314,0.0012814119,0.000077899516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035695117,0.00050159864,0.00041158494,0.0013482004,0.00022712283,0.0011890534,0.0012082723,0.0010043575,0.0012030429],"category_scores_gemma":[0.014801796,0.00026372567,0.0002477345,0.0006185071,0.0004178215,0.00051412947,0.0007394531,0.0003328187,0.0006920799],"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":[0.0014403305,0.000459603,0.037131865,0.0005991856,0.00031459966,0.00015391916,0.00026372136,0.071182,0.28752297,0.003166001,0.0013957208,0.59637004],"study_design_scores_gemma":[0.0001869259,0.0011043627,0.036627404,0.00010534063,0.00013655955,0.0017688889,0.00013483748,0.67250353,0.2769293,0.0010678177,0.009329012,0.00010594654],"about_ca_topic_score_codex":0.001610799,"about_ca_topic_score_gemma":0.001055303,"teacher_disagreement_score":0.0035695117,"about_ca_system_score_codex":0.0005204014,"about_ca_system_score_gemma":0.00042108388,"threshold_uncertainty_score":0.018877625},"labels":[],"label_agreement":null},{"id":"W2108088864","doi":"10.1007/978-3-642-59327-7_44","title":"Peripheral Thickness Correction for Volumetric Breast Density Estimation","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Computation; Mammography; Spline (mechanical); Pixel; Interpolation (computer graphics); Optics; Thin plate spline; Materials science; Mathematics; Spline interpolation; Image (mathematics); Computer vision; Computer science; Physics; Algorithm; Medicine; Breast cancer; Bilinear interpolation","score_opus":0.012583712462160241,"score_gpt":0.23982960687728702,"score_spread":0.22724589441512677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108088864","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019081343,0.0036779812,0.97910357,0.00014906595,0.00044950144,0.000021328075,0.00017233196,0.00306376,0.011454337],"genre_scores_gemma":[0.03848239,0.006905287,0.8477142,0.00028056305,0.00029159963,0.000043364515,0.00085341645,0.0028527891,0.10257642],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998375,0.000018726749,0.000006733874,0.000028749708,0.0001005525,0.000007737997],"domain_scores_gemma":[0.99955016,0.00018780227,0.000022415497,0.000073595154,0.00015690285,0.00000912833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035146842,0.0008751578,0.00051849196,0.00066165207,0.00018128616,0.0007321774,0.0013468234,0.00054061005,0.01683982],"category_scores_gemma":[0.0015106811,0.0007338546,0.00041842915,0.0010254679,0.0002459832,0.00092708017,0.0006276063,0.0009872735,0.007347068],"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":[0.00006208177,0.00001132719,0.00028348592,0.00025458136,0.000024165085,0.00011143717,0.000040321975,0.007477928,0.025993695,0.009834418,0.022408051,0.9334985],"study_design_scores_gemma":[0.00003714036,0.00013471098,0.006666376,0.00042272388,0.00031159224,0.01102368,0.0001278277,0.33369148,0.1653899,0.03852216,0.44352198,0.00015047299],"about_ca_topic_score_codex":0.0009309763,"about_ca_topic_score_gemma":0.0025242933,"teacher_disagreement_score":0.01683982,"about_ca_system_score_codex":0.0002431408,"about_ca_system_score_gemma":0.00031773164,"threshold_uncertainty_score":0.056334853},"labels":[],"label_agreement":null},{"id":"W2108150393","doi":"10.2214/ajr.08.2114","title":"Comparison of Acquisition Parameters and Breast Dose in Digital Mammography and Screen-Film Mammography in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial","year":2010,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":199,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; American College of Radiology Imaging Network","keywords":"Medicine; Mammography; Digital mammography; Breast imaging; Radiology; Medical physics; Screening mammography; Nuclear medicine; Breast cancer; Internal medicine; Cancer","score_opus":0.007369764165882283,"score_gpt":0.26234349776227883,"score_spread":0.2549737335963965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108150393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996516,0.0018031179,0.00030828328,0.00016579896,0.0000324738,0.00022172542,0.00014738452,0.000008255432,0.00079699594],"genre_scores_gemma":[0.9983923,0.00024886036,0.00031521995,0.00016621161,0.000048522063,0.00021851939,0.00027279882,0.000005632596,0.00033184816],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.99085873,0.0071581677,0.00040762112,0.00056950137,0.00077331095,0.00023269783],"domain_scores_gemma":[0.9899316,0.006894052,0.0019462137,0.00058806944,0.00031133165,0.00032878786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008981502,0.00036473174,0.0008829251,0.00023594293,0.00017839475,0.0008099565,0.00037179035,0.0010153822,0.0014218788],"category_scores_gemma":[0.021221027,0.00026063112,0.0007049153,0.0004931737,0.0004246708,0.0007789024,0.0003505694,0.0005770472,0.00015950062],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.6199947,0.0037222742,0.31752768,0.00052897725,0.003510978,0.00013833771,0.00017856652,0.0012275712,0.0018162727,0.00027659774,0.0007190832,0.050358888],"study_design_scores_gemma":[0.08529624,0.14437814,0.750984,0.00022146737,0.004887186,0.0005756096,0.00022622106,0.006543726,0.0025594179,0.00072489807,0.0035202052,0.00008288616],"about_ca_topic_score_codex":0.00045392802,"about_ca_topic_score_gemma":0.000609044,"teacher_disagreement_score":0.008981502,"about_ca_system_score_codex":0.0004260602,"about_ca_system_score_gemma":0.00058319763,"threshold_uncertainty_score":0.04749924},"labels":[],"label_agreement":null},{"id":"W2108184788","doi":"10.1158/1055-9965.epi-04-0490","title":"The Association of Measured Breast Tissue Characteristics with Mammographic Density and Other Risk Factors for Breast Cancer","year":2005,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":339,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Breast tissue; Biopsy; Medicine; Autopsy; Breast biopsy; Mammography; Breast density; MAMMOGRAPHIC DENSITY; Risk factors for breast cancer; Mammary gland; Cancer; Pathology; Oncology; Internal medicine","score_opus":0.020830567460555626,"score_gpt":0.3082804293373084,"score_spread":0.2874498618767528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108184788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998052,0.00042098807,0.0008563633,0.000028987903,0.0000030941017,0.0000072919484,0.00016582901,0.0000053124827,0.0004600909],"genre_scores_gemma":[0.99920386,0.00010470886,0.00047869288,0.00000817577,0.000004791491,0.0000048735833,0.00011805292,0.0000012547207,0.00007566519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996221,0.0001417286,0.000033424312,0.000067670575,0.00009810198,0.00003707851],"domain_scores_gemma":[0.9963971,0.0017675341,0.0011494233,0.00023534284,0.00031202668,0.00013865405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068213674,0.00019911799,0.00015183991,0.00063212664,0.00014605046,0.00031618448,0.00022974118,0.0002486432,0.0015840152],"category_scores_gemma":[0.005142467,0.00013449912,0.00011458953,0.0004521415,0.00031601483,0.00017277952,0.0002052453,0.00027021754,0.0001696652],"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":[0.00007643998,0.000023308761,0.9959676,0.0000133060985,0.000039704748,0.000039098428,0.000016986101,0.00007450465,0.0017931544,0.000023010924,0.000015754587,0.0019171291],"study_design_scores_gemma":[0.000002196474,0.00007841209,0.9973369,0.0000029089979,0.000020203657,0.0007086597,0.000030283387,0.0002158601,0.0014759691,0.000027537439,0.000098389726,0.0000024920357],"about_ca_topic_score_codex":0.0007216518,"about_ca_topic_score_gemma":0.00072916766,"teacher_disagreement_score":0.0015840152,"about_ca_system_score_codex":0.00013500616,"about_ca_system_score_gemma":0.000121286605,"threshold_uncertainty_score":0.0052990913},"labels":[],"label_agreement":null},{"id":"W2109063533","doi":"10.1016/s1470-2045(05)70390-9","title":"Mammographic breast density as an intermediate phenotype for breast cancer","year":2005,"lang":"en","type":"review","venue":"The Lancet Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":630,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Hospital for Sick Children; University of Toronto; Ontario Institute for Cancer Research","funders":"Medical Research Council; Canada Research Chairs; National Breast Cancer Foundation","keywords":"Breast cancer; Breast density; Mammography; MAMMOGRAPHIC DENSITY; Breast tissue; Medicine; Risk factors for breast cancer; Oncology; Cancer; Internal medicine","score_opus":0.06242076777872589,"score_gpt":0.4033152415651653,"score_spread":0.3408944737864394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109063533","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020796686,0.99833965,0.000096262316,0.00038250393,0.00020558122,0.000003415869,0.000034942994,0.0000051104516,0.00072448316],"genre_scores_gemma":[0.0034911663,0.99489945,0.0003053292,0.00043402024,0.00030214028,0.000008025532,0.000080431666,0.0000012501379,0.00047814814],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972945,0.000051226565,0.000049984435,0.0000530267,0.00009887702,0.00001748495],"domain_scores_gemma":[0.9990068,0.0005693555,0.00015998952,0.000019854142,0.00020231765,0.000041732812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000688549,0.0006887131,0.0022113947,0.0020875013,0.00014446676,0.0007576138,0.0006537535,0.00076799537,0.0022028899],"category_scores_gemma":[0.002242584,0.0002597299,0.00043750516,0.0023270505,0.00048335653,0.00069292955,0.00039640057,0.00094422133,0.0007817932],"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":[0.00015641865,0.000029089178,0.002465789,0.012789716,0.0001632257,0.00033464027,0.000026605796,0.00022869743,0.00038985605,0.0013984715,0.034855068,0.9471625],"study_design_scores_gemma":[0.00018533746,0.00031812862,0.026524266,0.024097482,0.0023185483,0.012392266,0.00027111254,0.0004937887,0.00070946896,0.0043455604,0.92826146,0.00008251718],"about_ca_topic_score_codex":0.002796812,"about_ca_topic_score_gemma":0.005499207,"teacher_disagreement_score":0.002796812,"about_ca_system_score_codex":0.00059588224,"about_ca_system_score_gemma":0.0009833899,"threshold_uncertainty_score":0.007369399},"labels":[],"label_agreement":null},{"id":"W2110114544","doi":"10.1148/radiol.13122567","title":"Digital Compared with Screen-Film Mammography: Performance Measures in Concurrent Cohorts within an Organized Breast Screening Program","year":2013,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; University of Toronto; University Health Network; Sunnybrook Health Science Centre; Cancer Care Ontario; Public Health Ontario","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confidence interval; Odds ratio; Mammography; Logistic regression; Digital mammography; Breast cancer; Cohort; Cohort study; Breast cancer screening; Internal medicine; Cancer","score_opus":0.014323193397482998,"score_gpt":0.24149925083825935,"score_spread":0.22717605744077635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110114544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991824,0.00030467162,0.00007695375,0.000022378397,0.000005153137,0.000012703867,0.00012745704,0.0000031252998,0.0002650979],"genre_scores_gemma":[0.9995171,0.00008355889,0.00012721091,0.000011188151,0.000008702935,0.0000066984658,0.0001525307,0.0000013069381,0.00009175966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986374,0.0005071793,0.0000945763,0.00031003778,0.00034940767,0.00010151821],"domain_scores_gemma":[0.99334806,0.0017768657,0.0032018223,0.0005014436,0.0005725625,0.0005991911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034316403,0.0004270005,0.00035258362,0.0010815756,0.00031608774,0.0009791543,0.0006108933,0.00044609566,0.0007130634],"category_scores_gemma":[0.01369248,0.00026643925,0.0005852409,0.0008448158,0.0003466977,0.00046802105,0.0009182653,0.00044253204,0.00015650528],"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":[0.00036092525,0.000054395874,0.9981528,0.000013033239,0.000069037094,0.000010487714,0.00005169042,0.000033047876,0.00007312215,0.0000054942334,0.000022642662,0.0011534219],"study_design_scores_gemma":[0.00001927328,0.00041410036,0.9987047,0.000010304456,0.000081784885,0.00007885062,0.00010480746,0.00035926249,0.00012889743,0.000010225397,0.00008403385,0.000003790132],"about_ca_topic_score_codex":0.011802655,"about_ca_topic_score_gemma":0.014526887,"teacher_disagreement_score":0.011802655,"about_ca_system_score_codex":0.0005376972,"about_ca_system_score_gemma":0.00042958648,"threshold_uncertainty_score":0.023467898},"labels":[],"label_agreement":null},{"id":"W2110445810","doi":"10.1148/radiol.2463070410","title":"Dedicated Breast CT: Initial Clinical Experience","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":349,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Institute of Biomedical Imaging and Bioengineering; University of California, Davis","keywords":"Medicine; Medical physics; Radiology; Breast imaging; Mammography; Breast cancer; Internal medicine; Cancer","score_opus":0.05141495319866804,"score_gpt":0.36071422143154636,"score_spread":0.30929926823287834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110445810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954951,0.0009374293,0.0009880338,0.00010132548,0.00002188431,0.000068285146,0.00009526149,0.00004158643,0.0022512286],"genre_scores_gemma":[0.99756914,0.000461467,0.000987002,0.00015314338,0.000048861843,0.00004069491,0.0002164214,0.00001974807,0.00050342525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987526,0.00048098565,0.000108527754,0.0002730686,0.00020585247,0.00017888015],"domain_scores_gemma":[0.9970612,0.0009729758,0.0003600035,0.0004475533,0.00028347824,0.00087473635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013823727,0.00042565243,0.00037702406,0.0004622419,0.00032979503,0.0006689114,0.00041309156,0.0005891569,0.0038205925],"category_scores_gemma":[0.008106484,0.00024199439,0.00024184537,0.000478302,0.0005024662,0.00077883265,0.0010539367,0.00040711474,0.0010506966],"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":[0.002448454,0.0018152468,0.83940417,0.00025461192,0.00012869136,0.01341394,0.004025794,0.0007532378,0.01469111,0.00021517099,0.003369258,0.11948032],"study_design_scores_gemma":[0.00030607896,0.012945579,0.7889998,0.00019903363,0.00017067489,0.16966362,0.0029853533,0.001774051,0.0070000933,0.00045850762,0.015365517,0.00013181502],"about_ca_topic_score_codex":0.00043791492,"about_ca_topic_score_gemma":0.0008643978,"teacher_disagreement_score":0.0038205925,"about_ca_system_score_codex":0.0003218229,"about_ca_system_score_gemma":0.0003399317,"threshold_uncertainty_score":0.012781203},"labels":[],"label_agreement":null},{"id":"W2112454740","doi":"10.1017/s0266462305050658","title":"Toward a multidimensional assessment of picture archiving and communication system success","year":2005,"lang":"en","type":"article","venue":"International Journal of Technology Assessment in Health Care","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; HEC Montréal","funders":"","keywords":"Software deployment; Process (computing); Perception; Productivity; Test (biology); Computer science; Field (mathematics); Knowledge management; Psychology; Medical education; Medicine","score_opus":0.01065176781097969,"score_gpt":0.3622184685079367,"score_spread":0.351566700696957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112454740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374041,0.00036433543,0.04604514,0.0014171585,0.00003246887,0.0009904962,0.00041587386,0.00019251418,0.01313784],"genre_scores_gemma":[0.95759434,0.00011357232,0.041008696,0.00006766079,0.000013947635,0.000661336,0.00028821992,0.000013299157,0.00023890828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98255587,0.007248394,0.0028244138,0.0009011933,0.005844669,0.0006253795],"domain_scores_gemma":[0.9429832,0.027330784,0.014362918,0.0026319514,0.010527675,0.0021634682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019660085,0.0009203517,0.00068398425,0.010098415,0.001281039,0.0050571016,0.0013586462,0.0012001666,0.0018676212],"category_scores_gemma":[0.048247177,0.00042758355,0.0013840043,0.00414028,0.003095446,0.0051112846,0.0056931013,0.0013082518,0.00033540625],"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":[0.00019913711,0.0005855382,0.8911945,0.0005618937,0.00033394588,0.00014756419,0.015549126,0.002457517,0.0021854627,0.0054739625,0.0011574611,0.08015389],"study_design_scores_gemma":[0.00008291116,0.0014351602,0.91337043,0.0006263485,0.00016375209,0.0005182778,0.03378368,0.033648107,0.0022541515,0.009167825,0.0047967164,0.00015267392],"about_ca_topic_score_codex":0.0024372903,"about_ca_topic_score_gemma":0.0023864566,"teacher_disagreement_score":0.019660085,"about_ca_system_score_codex":0.002937512,"about_ca_system_score_gemma":0.0036630107,"threshold_uncertainty_score":0.10397369},"labels":[],"label_agreement":null},{"id":"W2112512591","doi":"10.1118/1.1713298","title":"Lag measurement in an active matrix flat‐panel imager","year":2004,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":18,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Residual; Active matrix; Photon; Lag; Detector; Photon energy; Materials science; SIGNAL (programming language); Physics; Nuclear medicine; Electrode; Thin-film transistor; Mathematics","score_opus":0.0350626204384828,"score_gpt":0.29773068042016165,"score_spread":0.26266805998167886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112512591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489115,0.00047726752,0.048714027,0.000043230153,0.000024995321,0.0000360883,0.00020013626,0.00058742374,0.0010053738],"genre_scores_gemma":[0.94988936,0.0005804322,0.046261575,0.000061681036,0.000022193699,0.00006335137,0.00032743826,0.00011660504,0.0026773966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971527,0.000048740854,0.000009881279,0.0000893179,0.00010226733,0.00003449846],"domain_scores_gemma":[0.9987293,0.00064878905,0.00016097954,0.00007710922,0.00027338168,0.00011049569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042540173,0.00034387354,0.00026576262,0.0004871122,0.00017764195,0.000537759,0.0004691764,0.00043199584,0.0016655767],"category_scores_gemma":[0.0013283152,0.0002163414,0.00019586415,0.0005116957,0.00026920106,0.00042959364,0.0002741058,0.0005626675,0.00039066028],"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":[0.00026423723,0.000022939765,0.0005850374,0.00003666547,0.000007988349,0.00006755624,0.000038676186,0.00020733138,0.9951552,0.00006170872,0.00004500684,0.003507768],"study_design_scores_gemma":[0.000020470969,0.00076006376,0.01604527,0.000008062994,0.00003542886,0.0005393588,0.0000540721,0.00732727,0.9743103,0.0000999207,0.00077274203,0.00002711417],"about_ca_topic_score_codex":0.000943974,"about_ca_topic_score_gemma":0.00093312707,"teacher_disagreement_score":0.0016655767,"about_ca_system_score_codex":0.00036911358,"about_ca_system_score_gemma":0.00021815675,"threshold_uncertainty_score":0.005571842},"labels":[],"label_agreement":null},{"id":"W2112686636","doi":"10.1158/1055-9965.epi-09-1059","title":"Screen-Film Mammographic Density and Breast Cancer Risk: A Comparison of the Volumetric Standard Mammogram Form and the Interactive Threshold Measurement Methods","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Women's College Hospital; Cancer Research UK","keywords":"Breast cancer; Confidence interval; Mammography; Odds ratio; Medicine; MAMMOGRAPHIC DENSITY; Logistic regression; Cancer; Nuclear medicine; Gynecology; Internal medicine","score_opus":0.03621884533242385,"score_gpt":0.3809540350450167,"score_spread":0.3447351897125928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112686636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976127,0.011492041,0.008396463,0.0003210287,0.00006514385,0.00013817179,0.00083966984,0.00009834112,0.002522226],"genre_scores_gemma":[0.99157023,0.0017398763,0.005522936,0.000065358014,0.000041451003,0.000065606066,0.00052642054,0.00002148908,0.00044655942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960127,0.0020369748,0.0001626933,0.00030127872,0.0014149828,0.00007143758],"domain_scores_gemma":[0.9872891,0.00820542,0.0023311833,0.0006705648,0.0012338045,0.00027006128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060549187,0.00046266709,0.00038415653,0.0018571076,0.00015303033,0.0008151212,0.0010114724,0.0004842401,0.0010459841],"category_scores_gemma":[0.026778253,0.00029689423,0.0005973006,0.0013195387,0.00043269602,0.0005640913,0.0005520902,0.00032517128,0.00012121053],"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":[0.0058567524,0.00013112398,0.9105756,0.00037685907,0.0011562369,0.00007137148,0.00032801466,0.000705946,0.00079802715,0.0005566923,0.0006616013,0.07878175],"study_design_scores_gemma":[0.000320378,0.0018810258,0.98266554,0.00018511877,0.0006906448,0.0010566019,0.00024166249,0.010060186,0.00095006824,0.0003913157,0.0015119283,0.00004553387],"about_ca_topic_score_codex":0.010968424,"about_ca_topic_score_gemma":0.011544402,"teacher_disagreement_score":0.010968424,"about_ca_system_score_codex":0.00086623227,"about_ca_system_score_gemma":0.00051579933,"threshold_uncertainty_score":0.03202188},"labels":[],"label_agreement":null},{"id":"W2116107507","doi":"10.1186/1751-0473-5-9","title":"IHE cross-enterprise document sharing for imaging: interoperability testing software","year":2010,"lang":"en","type":"article","venue":"Source Code for Biology and Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Institute of Standards and Technology; Radiological Society of North America","keywords":"Interoperability; Computer science; Implementation; Software engineering; System integration testing; Semantic interoperability; Software; Software system; World Wide Web; Software construction","score_opus":0.021836821469135334,"score_gpt":0.34605904619315286,"score_spread":0.3242222247240175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116107507","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07438278,0.00022026923,0.7749002,0.000705238,0.00009076008,0.0010464523,0.0012236508,0.13230196,0.015128674],"genre_scores_gemma":[0.4079549,0.00019640886,0.56448495,0.00038308062,0.000064851156,0.0009954062,0.0058470364,0.010257792,0.009815597],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99431276,0.0018607898,0.00071396085,0.0005932583,0.0021775428,0.0003417557],"domain_scores_gemma":[0.9787804,0.010312938,0.0011454598,0.006026856,0.0031763134,0.00055805955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010662014,0.000836419,0.000595627,0.0016840686,0.000652458,0.001990437,0.002269326,0.0013991392,0.0069317683],"category_scores_gemma":[0.023393376,0.0006914905,0.00089435565,0.0009735999,0.0012865069,0.0025686119,0.0029388417,0.0011676134,0.0021678219],"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":[0.0016964889,0.0017807662,0.036785215,0.0007322908,0.00032127285,0.0011533039,0.0037379966,0.02714753,0.03828955,0.029512368,0.03518721,0.823656],"study_design_scores_gemma":[0.0011336491,0.0017007836,0.0346927,0.00052766065,0.0003620649,0.00326279,0.0008824626,0.48394346,0.29603812,0.03852497,0.13853033,0.00040102354],"about_ca_topic_score_codex":0.0026419382,"about_ca_topic_score_gemma":0.0010734908,"teacher_disagreement_score":0.010662014,"about_ca_system_score_codex":0.00096742087,"about_ca_system_score_gemma":0.0020400167,"threshold_uncertainty_score":0.05638683},"labels":[],"label_agreement":null},{"id":"W2117125110","doi":"10.1503/cmaj.071086","title":"Breast size and risk of type 2 diabetes mellitus","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"National Cancer Institute","keywords":"Medicine; Body mass index; Hazard ratio; Diabetes mellitus; Menarche; Type 2 Diabetes Mellitus; Waist; Obesity; Prospective cohort study; Type 2 diabetes; Multivitamin; Cohort; Cohort study; Internal medicine; Confidence interval; Pediatrics; Endocrinology","score_opus":0.003269097088484265,"score_gpt":0.2111677601301498,"score_spread":0.20789866304166552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117125110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957137,0.0025054843,0.00009442963,0.00014351297,0.000020054178,0.0000070264987,0.00056260015,0.000008692502,0.00094456616],"genre_scores_gemma":[0.99808735,0.00094950246,0.0001636734,0.00004057859,0.000031364572,0.00000767972,0.00042203933,0.0000022838317,0.00029538688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974734,0.000074555384,0.000023224464,0.000052925698,0.00006245289,0.000039546554],"domain_scores_gemma":[0.99833125,0.00033289572,0.000903835,0.00006763038,0.0001445474,0.0002197224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004037459,0.00020891536,0.00018468875,0.00050044985,0.00018200875,0.00043679803,0.00029338597,0.0003470284,0.0021541896],"category_scores_gemma":[0.0023803352,0.00021515897,0.00031245194,0.0007783474,0.0001376331,0.00017060385,0.00024138004,0.00049586577,0.00022526873],"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":[0.00006980452,0.000020943213,0.9976235,0.000011047576,0.000042801963,0.000043877324,0.000012079344,0.000028916354,0.0000711893,0.000007353105,0.00010807432,0.0019603346],"study_design_scores_gemma":[0.0000047378867,0.000044637232,0.9993544,0.000009231579,0.000027782602,0.00029233063,0.000018007986,0.000064524385,0.00002257282,0.000016389344,0.00014401917,0.0000014002427],"about_ca_topic_score_codex":0.003260729,"about_ca_topic_score_gemma":0.0029229329,"teacher_disagreement_score":0.003260729,"about_ca_system_score_codex":0.00016382016,"about_ca_system_score_gemma":0.0001676577,"threshold_uncertainty_score":0.0072064996},"labels":[],"label_agreement":null},{"id":"W2119398272","doi":"10.1016/j.amjsurg.2012.08.010","title":"An evaluation of intraoperative digital specimen mammography versus conventional specimen radiography for the excision of nonpalpable breast lesions","year":2013,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University","funders":"","keywords":"Medicine; Mammography; Radiology; Radiography; Univariate analysis; Retrospective cohort study; Digital mammography; Surgery; Breast cancer; Multivariate analysis; Internal medicine; Cancer","score_opus":0.045949132450563736,"score_gpt":0.3083699766341517,"score_spread":0.26242084418358796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119398272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974355,0.0011116217,0.00043749757,0.000052944397,0.000018409219,0.000028641172,0.000027337519,0.000008531919,0.00087957614],"genre_scores_gemma":[0.9984602,0.00036232936,0.00096713676,0.000033942324,0.000030210158,0.000007384976,0.000031100837,0.000005660406,0.00010199118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880266,0.00056083285,0.00015362124,0.000085185755,0.00031660215,0.00008115035],"domain_scores_gemma":[0.98325586,0.013355332,0.0010078398,0.000411857,0.0013509707,0.0006181403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003790885,0.00044312407,0.00046478267,0.0010833591,0.00023339718,0.00052768784,0.00049144024,0.00042601087,0.0011621641],"category_scores_gemma":[0.014781747,0.0001519297,0.00042298078,0.00051750155,0.00045000535,0.0007539141,0.0003224445,0.00041811017,0.0001655746],"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":[0.13613674,0.003441297,0.57797825,0.0012209764,0.00060790486,0.004495387,0.0009138605,0.0015095301,0.051647034,0.0005046759,0.00034525077,0.22119902],"study_design_scores_gemma":[0.0016058715,0.10896852,0.81869584,0.00020098784,0.002330075,0.02284284,0.0018485027,0.008214356,0.031775378,0.00046766427,0.0029336645,0.00011638697],"about_ca_topic_score_codex":0.00034522687,"about_ca_topic_score_gemma":0.0009271239,"teacher_disagreement_score":0.003790885,"about_ca_system_score_codex":0.00036113997,"about_ca_system_score_gemma":0.00043448698,"threshold_uncertainty_score":0.02004838},"labels":[],"label_agreement":null},{"id":"W2119562361","doi":"10.1109/titb.2005.859877","title":"Modeling of Workflow-Engaged Networks on Radiology Transfers Across a Metro Network","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Information Technology in Biomedicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; St. Boniface Hospital","funders":"","keywords":"Workflow; Metropolitan area; Computer science; Service (business); Flow network; Computer network; Data science; Medicine; Business; Database","score_opus":0.008574095332801129,"score_gpt":0.24189667064995274,"score_spread":0.23332257531715161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119562361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47518474,0.00092970475,0.41285875,0.0033404,0.00027566502,0.00038393232,0.0022670906,0.0009228392,0.10383688],"genre_scores_gemma":[0.95188,0.00063289754,0.018720789,0.00015839304,0.00004976601,0.00027742246,0.00049578043,0.000117468175,0.027667543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993837,0.00017731996,0.00002074725,0.000126328,0.00008809306,0.00020391116],"domain_scores_gemma":[0.99876165,0.00055144227,0.0001883433,0.00006229643,0.00025989566,0.00017632054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008948705,0.0009424951,0.0006807071,0.00090798945,0.0013948672,0.0025450168,0.0021351825,0.002489853,0.005593027],"category_scores_gemma":[0.0024919596,0.00065536244,0.0013166474,0.0010737915,0.001282904,0.002038171,0.001290756,0.0010802004,0.00073273655],"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":[0.0000260008,0.000021426056,0.0008223809,0.0000086922255,0.000005968811,0.00007779146,0.00004632965,0.9886517,0.00021216086,0.009037257,0.00032192873,0.0007682818],"study_design_scores_gemma":[0.0000061734568,0.000008740169,0.00017423417,0.0000048218703,0.000004315776,0.000011185234,0.000048199327,0.9973724,0.0000569767,0.0017741454,0.00053354923,0.000005233232],"about_ca_topic_score_codex":0.096673995,"about_ca_topic_score_gemma":0.0331479,"teacher_disagreement_score":0.096673995,"about_ca_system_score_codex":0.004944505,"about_ca_system_score_gemma":0.003230058,"threshold_uncertainty_score":0.1922226},"labels":[],"label_agreement":null},{"id":"W2120805174","doi":"10.1007/s00330-008-1076-9","title":"Breast tomosynthesis and digital mammography: a comparison of breast cancer visibility and BIRADS classification in a population of cancers with subtle mammographic findings","year":2008,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":342,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"Malmö Högskola; Cancerfonden; European Commission","keywords":"Medicine; Mammography; Breast cancer; Visibility; Digital Breast Tomosynthesis; Cancer; Radiology; Digital mammography; Neuroradiology; Population; Tomosynthesis; Medical physics; Internal medicine","score_opus":0.017398642945872414,"score_gpt":0.2556905877055567,"score_spread":0.2382919447596843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120805174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995696,0.00011753681,0.000035890796,0.000013465918,0.000003252741,0.0000024229003,0.000038538707,0.0000010475736,0.00021816701],"genre_scores_gemma":[0.99971527,0.00005322166,0.00003197196,0.000009784747,0.000008393094,0.0000016352982,0.00008109068,0.0000016090058,0.00009698317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993362,0.00019352302,0.000075897246,0.00016928322,0.00012601686,0.00009912045],"domain_scores_gemma":[0.9980938,0.0007164158,0.00062077236,0.000105082436,0.00017085705,0.0002931049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010034881,0.00036326563,0.00044014052,0.0014543633,0.00043604625,0.00089736027,0.00040280572,0.00060161285,0.0015937445],"category_scores_gemma":[0.0055376953,0.00032048277,0.00056005834,0.0009961752,0.0005642688,0.0010162425,0.00095562224,0.0005261994,0.00024508516],"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":[0.0010395212,0.00006665966,0.9969464,0.0000065716235,0.000058762973,0.00010193255,0.00019222414,0.000021567652,0.00044070254,0.000024962428,0.00001650339,0.0010841397],"study_design_scores_gemma":[0.000014633488,0.00043288287,0.9983224,0.0000017633092,0.00003511938,0.00041345597,0.0004988228,0.00011844973,0.00006414678,0.00002959264,0.000064472755,0.0000042439233],"about_ca_topic_score_codex":0.002917217,"about_ca_topic_score_gemma":0.0026167165,"teacher_disagreement_score":0.002917217,"about_ca_system_score_codex":0.0002438533,"about_ca_system_score_gemma":0.00021049354,"threshold_uncertainty_score":0.0058004856},"labels":[],"label_agreement":null},{"id":"W2122077415","doi":"10.1093/aje/kwt238","title":"Methods for Assessing and Representing Mammographic Density: An Analysis of 4 Case-Control Studies","year":2013,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Sunnybrook Hospital; Sunnybrook Health Science Centre; Alberta Health Services; Dalhousie University","funders":"National Cancer Institute","keywords":"Medicine; Confidence interval; Breast cancer; Statistics; Correlation; Mammography; Demography; Gynecology; Mathematics; Cancer; Internal medicine","score_opus":0.06652007044967706,"score_gpt":0.45492564148715076,"score_spread":0.3884055710374737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122077415","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29666117,0.029420594,0.6308714,0.0006746128,0.00087168283,0.035061732,0.0037487948,0.00076032174,0.0019296948],"genre_scores_gemma":[0.40844262,0.0024387678,0.5418472,0.00031390644,0.0001821925,0.04359072,0.0020633808,0.00022978867,0.0008913869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.48438582,0.42560557,0.0317322,0.020567883,0.035637543,0.002071053],"domain_scores_gemma":[0.5989537,0.3154029,0.03277864,0.040258575,0.011765133,0.00084101444],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.31205678,0.0041993195,0.007961803,0.015885796,0.0020601498,0.0030590612,0.0063380627,0.0035360123,0.0035628036],"category_scores_gemma":[0.41390947,0.002831952,0.019133072,0.010959815,0.0022902426,0.002192059,0.003712919,0.0027310343,0.0003080469],"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":[0.01635755,0.0009864399,0.58524036,0.007789467,0.21997152,0.0013767562,0.0027026187,0.010482334,0.004473178,0.003587735,0.0023050648,0.14472695],"study_design_scores_gemma":[0.008289445,0.014435446,0.6417511,0.0038889828,0.17348832,0.0036465405,0.0021715902,0.102444455,0.006071687,0.019333666,0.023271954,0.0012067802],"about_ca_topic_score_codex":0.0041113836,"about_ca_topic_score_gemma":0.0043740785,"teacher_disagreement_score":0.6879432,"about_ca_system_score_codex":0.0023005786,"about_ca_system_score_gemma":0.002269597,"threshold_uncertainty_score":0.8483565},"labels":[],"label_agreement":null},{"id":"W2123874960","doi":"","title":"Wolfe's parenchymal pattern and percentage of the breast with mammographic densities: redundant or complementary classifications?","year":2003,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre hospitalier universitaire de Québec","funders":"","keywords":"Breast cancer; Medicine; Logistic regression; Parenchyma; Breast density; Mammography; Internal medicine; Gynecology; Cancer; Pathology","score_opus":0.021051026529820965,"score_gpt":0.214781478899294,"score_spread":0.19373045236947303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123874960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88444287,0.054453902,0.0417432,0.008114996,0.00060565147,0.000090356894,0.0012478584,0.00025389984,0.009047253],"genre_scores_gemma":[0.9859635,0.00458325,0.0072407355,0.00053200475,0.00059589755,0.000026238311,0.00040020994,0.00005224375,0.0006060477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9887883,0.007211958,0.00088300335,0.0012578885,0.0014605881,0.0003982905],"domain_scores_gemma":[0.9277887,0.043981668,0.013709354,0.009830902,0.0032545216,0.0014348897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023660196,0.0015199481,0.0022754343,0.0037668378,0.00029444744,0.0027972043,0.0023362304,0.0015869129,0.0026056552],"category_scores_gemma":[0.058790114,0.00084868824,0.0019425248,0.0043355674,0.0038119059,0.0055373013,0.0024473614,0.0021609336,0.0011669087],"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":[0.0016372306,0.00009370731,0.8933433,0.0008283849,0.00207006,0.00040497852,0.001030179,0.0005550961,0.0015555394,0.0021301575,0.0017197813,0.09463146],"study_design_scores_gemma":[0.00014212348,0.0016451001,0.9442454,0.00083459105,0.0021169807,0.0075968863,0.0028612658,0.011226565,0.0012732354,0.023530062,0.0043039965,0.00022386857],"about_ca_topic_score_codex":0.0015014783,"about_ca_topic_score_gemma":0.002578117,"teacher_disagreement_score":0.023660196,"about_ca_system_score_codex":0.0003788206,"about_ca_system_score_gemma":0.0005328986,"threshold_uncertainty_score":0.12512857},"labels":[],"label_agreement":null},{"id":"W2124219217","doi":"10.1158/1055-9965.573.13.4","title":"A Polymorphic Locus in the Promoter Region of the <i>IGFBP3</i> Gene Is Related to Mammographic Breast Density","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Coalition for Research in Women's Health; Jewish General Hospital; University of Toronto","funders":"","keywords":"IGFBP3; Breast cancer; Medicine; Mammography; Oncology; Genotype; Family history; Internal medicine; MAMMOGRAPHIC DENSITY; Gynecology; Risk factors for breast cancer; Insulin-like growth factor; Endocrinology; Physiology; Gene; Cancer; Biology; Growth factor; Genetics","score_opus":0.025952358727018694,"score_gpt":0.30741076109083454,"score_spread":0.28145840236381586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124219217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988807,0.00015715645,0.0002669688,0.0000794485,0.000013211926,0.000011609178,0.00019918948,0.000010181296,0.00038150232],"genre_scores_gemma":[0.9990434,0.00007556155,0.00023051686,0.00002958127,0.000011965508,0.000007515137,0.00019773454,0.000003636267,0.0004001777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998604,0.000032708034,0.000010693753,0.000031151787,0.000036948673,0.00002804946],"domain_scores_gemma":[0.9995454,0.00012513406,0.00018420762,0.000022422084,0.000047096895,0.0000757263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015717902,0.00030122598,0.00016559166,0.00033153675,0.00032895978,0.00021156864,0.00022629947,0.0002569229,0.0031326239],"category_scores_gemma":[0.0007528257,0.00016892281,0.00015364077,0.0005349505,0.00027731934,0.000054330438,0.00013720867,0.00027687234,0.00020958335],"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":[0.0009412258,0.00008147755,0.9700786,0.00004642287,0.00009234668,0.001597862,0.00036139053,0.000046384328,0.021754645,0.00006470206,0.00048400575,0.00445097],"study_design_scores_gemma":[0.000021368234,0.000061065,0.9977697,0.0000064859105,0.00003413696,0.0012500675,0.000057489306,0.000118040865,0.00039935295,0.000019738163,0.00026047332,0.0000021534727],"about_ca_topic_score_codex":0.028286804,"about_ca_topic_score_gemma":0.021055035,"teacher_disagreement_score":0.028286804,"about_ca_system_score_codex":0.00032043635,"about_ca_system_score_gemma":0.00025991892,"threshold_uncertainty_score":0.056244314},"labels":[],"label_agreement":null},{"id":"W2124465355","doi":"10.1109/iembs.1989.95979","title":"Medical image delays with ACR/NEMA standard","year":2003,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Workload; DICOM; Computer science; Digital image; Center (category theory); Computer vision; Picture archiving and communication system; Medical imaging; Image (mathematics); Medical physics; Artificial intelligence; Multimedia; Image processing; Medicine; Operating system","score_opus":0.004855097584048458,"score_gpt":0.2446643605697292,"score_spread":0.23980926298568075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124465355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690764,0.0004953346,0.024593182,0.00018466776,0.00011268465,0.00020008672,0.0003507307,0.00073149294,0.00425548],"genre_scores_gemma":[0.98466206,0.00014124956,0.013717169,0.00004368177,0.000018903378,0.000052477546,0.00038500217,0.00008447517,0.00089499645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9958197,0.0010115115,0.0004171908,0.00038249895,0.002045735,0.00032343602],"domain_scores_gemma":[0.97614276,0.010916641,0.0015348452,0.0024659634,0.008530553,0.00040921653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004427008,0.00043844144,0.00039344298,0.000986714,0.00043658967,0.0010473487,0.00084737636,0.00054617366,0.0021639275],"category_scores_gemma":[0.031517003,0.0002451242,0.00026681676,0.001133537,0.00046108253,0.0017149592,0.00056974194,0.00046003962,0.00049896113],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.026712367,0.002534775,0.10493066,0.0009765711,0.0002657919,0.0014937163,0.0014830444,0.29332015,0.2768241,0.010839867,0.008094473,0.2725245],"study_design_scores_gemma":[0.0005034902,0.011097064,0.05469464,0.00010854541,0.0002630606,0.002495796,0.000994194,0.5091009,0.4020733,0.004588189,0.013784919,0.00029593628],"about_ca_topic_score_codex":0.0023321763,"about_ca_topic_score_gemma":0.0015249366,"teacher_disagreement_score":0.004427008,"about_ca_system_score_codex":0.0017943145,"about_ca_system_score_gemma":0.00083650433,"threshold_uncertainty_score":0.023412526},"labels":[],"label_agreement":null},{"id":"W2124885699","doi":"10.1158/1078-0432.ccr-13-0029","title":"Relationship of Mammographic Density and Gene Expression: Analysis of Normal Breast Tissue Surrounding Breast Cancer","year":2013,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Institutes of Health; National Institute of Environmental Health Sciences; Avon Foundation for Women","keywords":"Breast cancer; Breast tissue; MAMMOGRAPHIC DENSITY; Medicine; Gene expression; Breast density; Cancer; Mammary gland; Oncology; Mammography; Gene; Internal medicine; Pathology; Cancer research; Biology; Genetics","score_opus":0.11616570707329706,"score_gpt":0.4571665939511582,"score_spread":0.3410008868778612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124885699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992459,0.00026847422,0.00022193433,0.0000047815906,8.071451e-7,0.000005969281,0.00010253458,0.000003081632,0.00014655011],"genre_scores_gemma":[0.9995161,0.000072116534,0.0001738006,0.0000033719512,0.0000018471658,0.000005553271,0.00018156655,9.056488e-7,0.000044664594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997887,0.000051166768,0.000027528713,0.000049912513,0.00005873161,0.000023911682],"domain_scores_gemma":[0.9995473,0.00015145872,0.00014149841,0.000047313166,0.00006843767,0.000043922963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029263648,0.00012978307,0.00027308566,0.00073546,0.00012663363,0.00027072942,0.0001601799,0.00013762811,0.00058263843],"category_scores_gemma":[0.0013553126,0.000121725374,0.00013220626,0.0006761534,0.00024308819,0.00011703155,0.00022770415,0.00012851685,0.00011619867],"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":[0.00032687886,0.00002022323,0.9900817,0.00002436836,0.00004652143,0.00006894595,0.000036710342,0.00008504121,0.005925187,0.000009561918,0.000017932703,0.0033568807],"study_design_scores_gemma":[0.000004124593,0.000051248604,0.9980367,0.0000017852175,0.000020053727,0.00041750856,0.000046309815,0.0002401178,0.0010783776,0.000011169001,0.00009155083,0.0000011819773],"about_ca_topic_score_codex":0.0015399891,"about_ca_topic_score_gemma":0.0015544661,"teacher_disagreement_score":0.0015399891,"about_ca_system_score_codex":0.00017164633,"about_ca_system_score_gemma":0.00010748231,"threshold_uncertainty_score":0.0030620694},"labels":[],"label_agreement":null},{"id":"W2125401576","doi":"10.1186/bcr3078","title":"A genome-wide linkage study of mammographic density, a risk factor for breast cancer","year":2011,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; Cancer Care Ontario; Ontario Institute for Cancer Research; Hospital for Sick Children; Public Health Ontario; University of Toronto; Jewish General Hospital; McGill University","funders":"Medical Research Council; U.S. Public Health Service; National Cancer Institute; National Institutes of Health; Canadian Breast Cancer Research Alliance; National Health and Medical Research Council; Cancer Care Ontario; Johns Hopkins University","keywords":"Surgical oncology; MAMMOGRAPHIC DENSITY; Breast cancer; Linkage (software); Medicine; Oncology; Mammography; Risk factor; Cancer; Internal medicine; Genetics; Biology; Gene","score_opus":0.08039795611505478,"score_gpt":0.3654831758779919,"score_spread":0.2850852197629371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125401576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947778,0.0005225082,0.0018591105,0.00025724902,0.000009932073,0.000066875626,0.0012983722,0.000019513473,0.0011886002],"genre_scores_gemma":[0.99621236,0.00019415694,0.0019030403,0.00006439671,0.000012391766,0.000067617235,0.0010595606,0.0000050798603,0.00048141088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993494,0.0002505119,0.000025529389,0.00019260058,0.00012949633,0.00005246605],"domain_scores_gemma":[0.9994252,0.00019631772,0.000105618725,0.00008380689,0.000099091,0.00008994417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011733253,0.00023508763,0.00032836568,0.00053821894,0.00086922327,0.00038388034,0.00034284487,0.00042847137,0.0020070395],"category_scores_gemma":[0.0031900606,0.00019127822,0.00032918973,0.0013204513,0.0002440608,0.00013106254,0.00041670256,0.00036987494,0.00017259328],"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":[0.0006773728,0.0001382173,0.9746513,0.00007014467,0.0008359948,0.0011899516,0.0007096281,0.00053120573,0.005248671,0.00049479265,0.0011817586,0.014271026],"study_design_scores_gemma":[0.000058638663,0.00011800955,0.9961409,0.000013551782,0.0002205855,0.00081452995,0.00010210373,0.00060145196,0.00013440136,0.00025242302,0.0015363594,0.0000069968605],"about_ca_topic_score_codex":0.037926078,"about_ca_topic_score_gemma":0.026502497,"teacher_disagreement_score":0.037926078,"about_ca_system_score_codex":0.00044410085,"about_ca_system_score_gemma":0.0010212677,"threshold_uncertainty_score":0.075410664},"labels":[],"label_agreement":null},{"id":"W2125449863","doi":"10.1056/nejmoa052911","title":"Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening","year":2005,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1942,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Medicine; Mammography; Confidence interval; Breast cancer; Digital mammography; Receiver operating characteristic; Asymptomatic; Breast cancer screening; Radiology; Population; Diagnostic accuracy; Gynecology; Obstetrics; Cancer; Internal medicine","score_opus":0.017998849890381825,"score_gpt":0.27678226269678585,"score_spread":0.25878341280640405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125449863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99044085,0.0054534352,0.0015898411,0.00019995205,0.000063380336,0.000040350627,0.00023576336,0.00004842357,0.0019279385],"genre_scores_gemma":[0.99769706,0.000527367,0.0013949677,0.00006027147,0.0000382852,0.000012924874,0.00016001781,0.00000268232,0.00010649008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691594,0.0015901116,0.00026109244,0.0004629598,0.0006120259,0.0001578401],"domain_scores_gemma":[0.9852122,0.009828204,0.0026987435,0.0004769459,0.0012928408,0.000490994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005050872,0.00042021635,0.00036639476,0.0017405179,0.00012356872,0.0010278104,0.0004028401,0.00050807855,0.0010631942],"category_scores_gemma":[0.030386792,0.00018468927,0.00041367227,0.00056048715,0.00036589528,0.00049450615,0.00052442384,0.00025587075,0.00026953054],"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":[0.0031760933,0.00010889641,0.9508412,0.00016218248,0.0003168693,0.000089226436,0.00007861248,0.00042446263,0.0018556324,0.00008981757,0.00034018076,0.042516775],"study_design_scores_gemma":[0.00029796115,0.0030110248,0.9718147,0.00021851048,0.000697432,0.0029220476,0.00023197338,0.013543624,0.00526494,0.00040852337,0.0015486521,0.00004060935],"about_ca_topic_score_codex":0.00072118646,"about_ca_topic_score_gemma":0.0009951224,"teacher_disagreement_score":0.005050872,"about_ca_system_score_codex":0.00047331146,"about_ca_system_score_gemma":0.00023072968,"threshold_uncertainty_score":0.026711881},"labels":[],"label_agreement":null},{"id":"W2126821581","doi":"10.1148/radiol.2522081457","title":"Cancer Cases from ACRIN Digital Mammographic Imaging Screening Trial: Radiologist Analysis with Use of a Logistic Regression Model","year":2009,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; Brown University; American College of Radiology Imaging Network","keywords":"Medicine; Mammography; Digital mammography; Visibility; Odds ratio; Logistic regression; Radiology; Cancer; Medical physics; Breast cancer; Pathology; Internal medicine","score_opus":0.060852895108306,"score_gpt":0.3211148798667595,"score_spread":0.2602619847584535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126821581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96239555,0.0020640048,0.02084829,0.0012259814,0.00022269577,0.0014789611,0.0049901973,0.00027597987,0.006498394],"genre_scores_gemma":[0.9895872,0.00021541145,0.0036608614,0.00020538087,0.00012249054,0.0014629256,0.0016298526,0.000058263595,0.0030576587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9829048,0.010255633,0.0012745863,0.0025348985,0.0023165434,0.00071347033],"domain_scores_gemma":[0.9586356,0.032464635,0.004683548,0.0022613162,0.0013460488,0.00060874544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017508695,0.00087877316,0.0016544508,0.0024311647,0.00045621587,0.0016112324,0.0015241753,0.0013913614,0.008758601],"category_scores_gemma":[0.054192353,0.00052070833,0.0032481905,0.0013901369,0.00037538205,0.0011516617,0.001094971,0.0020234124,0.00096705783],"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":[0.016976397,0.000494424,0.94728386,0.00047421132,0.004950088,0.00041895168,0.00041305274,0.0064866543,0.0002927829,0.0010780476,0.004161985,0.016969534],"study_design_scores_gemma":[0.0048044585,0.0052534724,0.61278963,0.00041844582,0.009975578,0.0028004989,0.00082304404,0.34432682,0.0011945592,0.004664463,0.012794647,0.00015428243],"about_ca_topic_score_codex":0.0033370561,"about_ca_topic_score_gemma":0.0016629773,"teacher_disagreement_score":0.017508695,"about_ca_system_score_codex":0.00067628035,"about_ca_system_score_gemma":0.0011673406,"threshold_uncertainty_score":0.092595994},"labels":[],"label_agreement":null},{"id":"W2130578679","doi":"10.1158/1055-9965.epi-13-0375","title":"Plasma C-Peptide, Mammographic Breast Density, and Risk of Invasive Breast Cancer","year":2013,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Cancer Institute; Changchun University of Science and Technology","keywords":"Breast cancer; MAMMOGRAPHIC DENSITY; Mammography; Medicine; Oncology; Internal medicine; Cancer","score_opus":0.018549239737715932,"score_gpt":0.2929979873012896,"score_spread":0.2744487475635737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130578679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99538004,0.0028835568,0.0004102672,0.00017780578,0.00001495399,0.000012741346,0.00046461882,0.000015728032,0.00064028916],"genre_scores_gemma":[0.9983626,0.0005357767,0.00054283516,0.000052309624,0.000026643303,0.00000947255,0.00033551318,0.0000018898182,0.00013290117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968207,0.00010365823,0.000022044132,0.00008657369,0.00007810696,0.000027584929],"domain_scores_gemma":[0.99711645,0.0011787592,0.0009841137,0.00015315347,0.00026027323,0.00030725822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010064447,0.0004469476,0.00020234502,0.00060949835,0.00017007954,0.0004177074,0.0003669843,0.00039012491,0.0018055324],"category_scores_gemma":[0.0047965054,0.00015261037,0.00029050186,0.000678366,0.00025874496,0.00017537462,0.0002661643,0.00043289096,0.0001391719],"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":[0.00021930321,0.00003055039,0.99728227,0.000028192395,0.00012067746,0.00003959751,0.000013422245,0.00009793051,0.0002853371,0.000012201087,0.00008266843,0.0017878748],"study_design_scores_gemma":[0.000009581148,0.00006945699,0.9990388,0.000012019388,0.00008145141,0.00025335397,0.000015286223,0.00024377223,0.000127429,0.000044375807,0.00010180961,0.000002758655],"about_ca_topic_score_codex":0.005420719,"about_ca_topic_score_gemma":0.0027147543,"teacher_disagreement_score":0.005420719,"about_ca_system_score_codex":0.0001613352,"about_ca_system_score_gemma":0.0003230836,"threshold_uncertainty_score":0.010778308},"labels":[],"label_agreement":null},{"id":"W2131446955","doi":"10.1186/s13058-014-0417-7","title":"Mammographic features associated with interval breast cancers in screening programs","year":2014,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Cancer Care Ontario; Health Sciences Centre; University of British Columbia; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Ontario Ministry of Health and Long-Term Care; Canadian Breast Cancer Research Alliance","keywords":"Breast cancer; Medicine; Mammography; Cancer; Oncology; Surgical oncology; Internal medicine; Confidence interval; Breast cancer screening; Gynecology","score_opus":0.03441505444398407,"score_gpt":0.3386964516425169,"score_spread":0.3042813971985328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131446955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991505,0.0003337776,0.000085149775,0.000024114752,0.000002240757,0.0000073016868,0.00014902097,0.00000475658,0.00024304198],"genre_scores_gemma":[0.99973005,0.000044819673,0.00006330535,0.000004841628,0.0000037697469,0.000003822187,0.00010616645,7.9773014e-7,0.000042422966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952674,0.000109561064,0.000050594204,0.00010632804,0.00013968974,0.00006711221],"domain_scores_gemma":[0.99603647,0.0011803219,0.0020218748,0.00013937385,0.00018964207,0.0004323829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051445863,0.00017888584,0.00023111235,0.0009717442,0.00020406826,0.00044810024,0.00031082408,0.000319565,0.0018477222],"category_scores_gemma":[0.004859995,0.0001810438,0.0002679545,0.0011352099,0.00031563063,0.00023189238,0.000460166,0.00038659063,0.000091511014],"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":[0.00005099819,0.000011479632,0.9990983,0.000005831665,0.000018303179,0.00003651687,0.000016884802,0.000019339901,0.00008715078,0.0000053804933,0.0000139055865,0.00063587446],"study_design_scores_gemma":[0.0000019276183,0.000033523283,0.99958247,0.0000033838078,0.0000164438,0.00020730915,0.000020040838,0.000055265387,0.00004057888,0.000007686986,0.000030463565,9.166219e-7],"about_ca_topic_score_codex":0.0030970634,"about_ca_topic_score_gemma":0.0028847558,"teacher_disagreement_score":0.0030970634,"about_ca_system_score_codex":0.00022573702,"about_ca_system_score_gemma":0.00025571516,"threshold_uncertainty_score":0.00618124},"labels":[],"label_agreement":null},{"id":"W2133981315","doi":"10.1186/1471-2407-10-636","title":"Polymorphisms in genes involved in the estrogen pathway and mammographic density","year":2010,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Digital Radiography and Breast Imaging","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":"The Quebec Population Health Research Network; Centre hospitalier universitaire de Québec; Hôpital du Saint-Sacrement; Université Laval","funders":"Canadian Institutes of Health Research; Canadian Breast Cancer Research Alliance","keywords":"Single-nucleotide polymorphism; Estrogen; Internal medicine; Endocrinology; Menarche; Estrogen receptor alpha; CYP1B1; Breast cancer; Medicine; Body mass index; Aromatase; Estrogen receptor; Catechol-O-methyl transferase; Hormone; Biology; Allele; Genetics; Genotype; Gene; Cancer; Cytochrome P450","score_opus":0.01550627401328202,"score_gpt":0.2521970756194847,"score_spread":0.23669080160620265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133981315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99604285,0.0023907782,0.0002678243,0.000098431825,0.000008159192,0.000009204929,0.00062057265,0.000008733288,0.0005534233],"genre_scores_gemma":[0.99818426,0.0006711257,0.00038601857,0.000034313067,0.000013149386,0.000011655422,0.0003875571,0.0000024423591,0.0003094326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982005,0.000054615542,0.000016846316,0.00005668226,0.00003212906,0.000019650142],"domain_scores_gemma":[0.999188,0.0003366565,0.00034167495,0.000026568034,0.000041045943,0.00006597385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032629672,0.00030631872,0.00028490965,0.00046211304,0.00014394191,0.00028812778,0.0001918375,0.00028523116,0.0029862286],"category_scores_gemma":[0.0009202465,0.0001250491,0.00018912049,0.00075026567,0.00020987849,0.00008994423,0.00010348637,0.00026831165,0.0002534114],"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":[0.000648544,0.00006512434,0.9837959,0.00009257298,0.00035912317,0.00023781002,0.000062797706,0.00011734976,0.0062679127,0.00006450185,0.00013578283,0.008152625],"study_design_scores_gemma":[0.000014962616,0.00010945553,0.9979347,0.000013745915,0.00010597074,0.00062887644,0.000023061211,0.000110865694,0.00057181786,0.000074923686,0.0004091209,0.0000025941215],"about_ca_topic_score_codex":0.0013946341,"about_ca_topic_score_gemma":0.0014791039,"teacher_disagreement_score":0.0029862286,"about_ca_system_score_codex":0.00013769387,"about_ca_system_score_gemma":0.00014786102,"threshold_uncertainty_score":0.009989917},"labels":[],"label_agreement":null},{"id":"W2134111015","doi":"10.1158/1055-9965.epi-12-0247","title":"Estrogen Metabolism and Mammographic Density in Postmenopausal Women: A Cross-Sectional Study","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Juravinski Cancer Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Estrone; Breast cancer; Estrogen; Medicine; Endocrinology; Internal medicine; Body mass index; Cross-sectional study; Urinary system; Cancer; Physiology; Gynecology; Pathology","score_opus":0.041541134591140796,"score_gpt":0.37320605762807124,"score_spread":0.33166492303693046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134111015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827325,0.0006665069,0.000100816185,0.00004090509,0.0000057550005,0.000018205475,0.00052586687,0.0000037292332,0.00036494544],"genre_scores_gemma":[0.99898607,0.0002875824,0.00015996331,0.00005115041,0.000011071393,0.000018505198,0.0003499941,0.0000012103683,0.00013439362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997155,0.000099516656,0.000027944478,0.00006688837,0.000060256603,0.000029819568],"domain_scores_gemma":[0.99923265,0.00014165785,0.00026273244,0.000079397105,0.00013637623,0.00014716074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009076224,0.00020931414,0.00029834986,0.00043455552,0.00029100332,0.00042196753,0.00024753006,0.00038642425,0.00078729785],"category_scores_gemma":[0.0017317284,0.00035500465,0.00023174805,0.00078934303,0.00017934115,0.0002919852,0.00032410878,0.0004695059,0.00023501614],"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":[0.000049364768,0.000027323398,0.9993247,0.0000058757028,0.000048204638,0.000019616109,0.000028017299,0.000006879102,0.000098916666,0.000003910398,0.0000351758,0.00035219034],"study_design_scores_gemma":[0.0000069275125,0.0001313956,0.9993136,0.000004457141,0.00004605804,0.00017413613,0.0000682644,0.000051396015,0.000029143284,0.000008134931,0.0001648614,0.0000017237974],"about_ca_topic_score_codex":0.004517431,"about_ca_topic_score_gemma":0.005662375,"teacher_disagreement_score":0.004517431,"about_ca_system_score_codex":0.00017106043,"about_ca_system_score_gemma":0.00019633984,"threshold_uncertainty_score":0.008982301},"labels":[],"label_agreement":null},{"id":"W2135085717","doi":"10.1118/1.2163407","title":"Quality control for digital mammography in the ACRIN DMIST trial: Part I","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":74,"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 Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Digital mammography; Mammography; Medical physics; Quality (philosophy); Medicine; Computer science; Breast cancer; Physics; Cancer; Internal medicine","score_opus":0.020997127593451057,"score_gpt":0.3033582808042681,"score_spread":0.282361153210817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135085717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391292,0.027320461,0.0050797607,0.004507931,0.0010119887,0.005859562,0.002888962,0.0005069858,0.013695245],"genre_scores_gemma":[0.9809214,0.002393963,0.0040513217,0.0024710677,0.00068396964,0.0035917752,0.0020887488,0.000049024664,0.0037487904],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9959824,0.0029141973,0.00015820851,0.00029108184,0.000454316,0.00019983109],"domain_scores_gemma":[0.9977182,0.000785738,0.000798069,0.0002854183,0.00016232074,0.00025020988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055559417,0.000588886,0.0013975225,0.0003886618,0.0003631505,0.0013702094,0.00064495916,0.0013516658,0.003794434],"category_scores_gemma":[0.007092166,0.00022127097,0.0011735153,0.00051852607,0.00069882517,0.0005901145,0.0004940154,0.0014924905,0.00044773731],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.87017214,0.0024963762,0.0057622,0.0014007355,0.0012222525,0.000075146265,0.000100841455,0.0007923308,0.0038621642,0.0012124106,0.0052205594,0.10768277],"study_design_scores_gemma":[0.75623786,0.17062616,0.04136436,0.0004229921,0.0017612365,0.0003265643,0.000068827205,0.0023981694,0.0036342898,0.0012122729,0.021861179,0.000086017026],"about_ca_topic_score_codex":0.000645278,"about_ca_topic_score_gemma":0.0011827282,"teacher_disagreement_score":0.0055559417,"about_ca_system_score_codex":0.0010621662,"about_ca_system_score_gemma":0.0010518944,"threshold_uncertainty_score":0.029383004},"labels":[],"label_agreement":null},{"id":"W2135800416","doi":"10.1186/s13058-015-0625-9","title":"A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density","year":2015,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; Seventh Framework Programme; Cancer Council Victoria; Canadian Institutes of Health Research; Agency for Science, Technology and Research; Breast Cancer Research Foundation; British Heart Foundation; National Health and Medical Research Council; Academy of Medical Sciences; University of Southern California; Cancer Research UK; University of Melbourne; Francis Crick Institute; Ministerio de Economía y Competitividad; VicHealth; National Institutes of Health; David F. and Margaret T. Grohne Family Foundation; Génome Québec; Medical Research Council; Department of Health and Social Care; McGill University; Ovarian Cancer Research Fund; National Institute for Health and Care Research; Mayo Clinic; Stroke Association; Susan G. Komen for the Cure","keywords":"Single-nucleotide polymorphism; Breast cancer; MAMMOGRAPHIC DENSITY; SNP; Confounding; Oncology; Medicine; Genome-wide association study; Genetic association; Mammography; Internal medicine; Cancer; Bioinformatics; Biology; Genetics; Gene; Genotype","score_opus":0.3696666364949511,"score_gpt":0.4914719384155185,"score_spread":0.12180530192056743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135800416","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472129,0.040753055,0.0053459983,0.0005336668,0.00009181234,0.00010980798,0.0046186713,0.000118366246,0.0012157576],"genre_scores_gemma":[0.99496007,0.0016546135,0.0017262831,0.00010288818,0.0000503291,0.00007672837,0.0011184507,0.000019004268,0.0002917124],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99603313,0.0019480996,0.0005214414,0.00083111384,0.00047023318,0.00019593674],"domain_scores_gemma":[0.9931498,0.0042896327,0.001157868,0.0006942529,0.00040317784,0.00030525998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052657877,0.0009754586,0.0016695173,0.002078644,0.00059471285,0.0010217631,0.00082545064,0.0006124355,0.003552357],"category_scores_gemma":[0.0071829287,0.00044230744,0.0055476543,0.0033882195,0.0003433116,0.00043117977,0.0009454271,0.0004851505,0.00019248978],"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":[0.002054086,0.00006481589,0.93163973,0.0010118365,0.046732273,0.00029794758,0.00010843506,0.0007548353,0.0020548308,0.00013143937,0.0005081966,0.014641618],"study_design_scores_gemma":[0.00016269613,0.0006742773,0.95495766,0.00015980728,0.038766123,0.00056992535,0.00009843385,0.0014179774,0.0008839311,0.0003007107,0.0019879679,0.00002042387],"about_ca_topic_score_codex":0.0037812414,"about_ca_topic_score_gemma":0.00622169,"teacher_disagreement_score":0.0052657877,"about_ca_system_score_codex":0.00033686514,"about_ca_system_score_gemma":0.00094179367,"threshold_uncertainty_score":0.027848482},"labels":[],"label_agreement":null},{"id":"W2136547085","doi":"10.1158/1055-9965.epi-07-2857","title":"The Relative Importance of Genetics and Environment on Mammographic Density","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada); inVentiv Health Clinical","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"MAMMOGRAPHIC DENSITY; Genetics; Biology; Mammography; Breast cancer; Cancer","score_opus":0.02882315302409769,"score_gpt":0.3208538579602163,"score_spread":0.2920307049361186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136547085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816495,0.0006704097,0.0005023503,0.00006167416,0.0000049600053,0.000003939382,0.00007750804,0.0000038473077,0.00051037094],"genre_scores_gemma":[0.9994473,0.00017306338,0.0002603108,0.000009464068,0.000007655156,0.0000021572866,0.000042762764,0.0000024673857,0.000054814613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986713,0.00073935784,0.00006226662,0.00021991214,0.00021001081,0.00009720034],"domain_scores_gemma":[0.9965789,0.0019853243,0.0007478433,0.00023894872,0.00022041283,0.00022860979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010894476,0.00025811023,0.00033357853,0.0007299185,0.00028540852,0.00062138686,0.0002472496,0.00032701294,0.00102639],"category_scores_gemma":[0.007240307,0.00020983188,0.00027828105,0.0006074665,0.00094874506,0.0003045012,0.00062718627,0.00031306437,0.000108093365],"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":[0.00021072602,0.000018182363,0.99127007,0.000022684064,0.00023773318,0.00015048208,0.000120199475,0.00025252055,0.0021461414,0.00016566612,0.000044629996,0.0053609093],"study_design_scores_gemma":[0.0000018272558,0.00003216725,0.99887234,0.0000042134047,0.000054679207,0.0003201571,0.000049748207,0.00034277668,0.00014241842,0.00012876868,0.000048225986,0.000002600018],"about_ca_topic_score_codex":0.0028840306,"about_ca_topic_score_gemma":0.0030532905,"teacher_disagreement_score":0.0028840306,"about_ca_system_score_codex":0.00021996784,"about_ca_system_score_gemma":0.00022509311,"threshold_uncertainty_score":0.0057616234},"labels":[],"label_agreement":null},{"id":"W2137955402","doi":"10.1158/1055-9965.epi-05-0127","title":"The Heritability of Mammographically Dense and Nondense Breast Tissue","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":118,"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; Cancer Care Ontario; Robarts Clinical Trials; Women's College Hospital; Ontario Institute for Cancer Research","funders":"","keywords":"Heritability; Biology; Confidence interval; Statistics; Twin study; Demography; Mathematics; Genetics","score_opus":0.015962203939219415,"score_gpt":0.32068028808121346,"score_spread":0.30471808414199403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137955402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973494,0.000420838,0.0014591563,0.00003940165,0.0000049636437,0.000006152156,0.00012761436,0.000010974456,0.00058154226],"genre_scores_gemma":[0.99951136,0.00005508776,0.0002937399,0.0000039055003,0.0000027931937,0.0000024102615,0.00006617299,0.0000015281578,0.00006299926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994611,0.00017292637,0.000037689322,0.00015076477,0.00012731896,0.000050160572],"domain_scores_gemma":[0.9986094,0.00070168864,0.00033522974,0.00019788706,0.0000925753,0.000063152555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010851802,0.00022127984,0.0002478387,0.0004724593,0.00015169258,0.00043312478,0.00019578554,0.0001967647,0.0010094566],"category_scores_gemma":[0.004209545,0.00022987791,0.00018890495,0.00027319475,0.0005090061,0.0001760045,0.0005610291,0.00029481598,0.00010238671],"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":[0.00018067769,0.00004418426,0.9698654,0.000043541495,0.0004856083,0.0003131232,0.0006941905,0.0009313827,0.007604059,0.0014087904,0.00026199297,0.018167155],"study_design_scores_gemma":[0.0000057126235,0.000021763732,0.9975369,0.000010483262,0.00007122278,0.0005719307,0.000072712064,0.0006529534,0.00031356706,0.00061029074,0.00012854318,0.0000039989504],"about_ca_topic_score_codex":0.0030027467,"about_ca_topic_score_gemma":0.0018734247,"teacher_disagreement_score":0.0030027467,"about_ca_system_score_codex":0.00016863491,"about_ca_system_score_gemma":0.00013330708,"threshold_uncertainty_score":0.0059705377},"labels":[],"label_agreement":null},{"id":"W2138181477","doi":"10.1117/1.jmi.2.4.046501","title":"Implementation methods of medical image sharing for collaborative health care based on IHE XDS-I profile","year":2015,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Chinese Academy of Sciences; Radiological Society of North America","keywords":"Medicine; Image sharing; Metadata; DICOM; Health care; Implementation; Data sharing; Medical record; Image (mathematics); World Wide Web; Computer science; Artificial intelligence; Radiology; Pathology","score_opus":0.044357979112183775,"score_gpt":0.476245355256247,"score_spread":0.43188737614406325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138181477","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01903136,0.00016753795,0.95741075,0.00097637536,0.00010719136,0.001706685,0.00024774228,0.011221545,0.0091307815],"genre_scores_gemma":[0.17984143,0.00019148947,0.8117298,0.00044814567,0.00006341871,0.0010513337,0.0012035221,0.00084827153,0.004622671],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9903246,0.003073965,0.0015773094,0.0014430106,0.0026610775,0.00091991446],"domain_scores_gemma":[0.9867165,0.0019016091,0.00066730607,0.0069212755,0.002792757,0.0010004862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016277377,0.0007935718,0.00065844454,0.0016238373,0.0012911729,0.0047169025,0.0041108234,0.0013574931,0.0034440872],"category_scores_gemma":[0.015083235,0.0010668234,0.0016385254,0.0010426546,0.0015053549,0.0057761814,0.0062094964,0.002916216,0.0018397954],"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":[0.0017992378,0.0017877594,0.037471373,0.0013100267,0.00054388546,0.0010480189,0.009550957,0.035627212,0.053732228,0.2511557,0.033335947,0.5726376],"study_design_scores_gemma":[0.00094841054,0.0018034577,0.019295627,0.0008749825,0.00040609486,0.0019487656,0.003303161,0.44400257,0.09811289,0.084289715,0.34424955,0.0007646917],"about_ca_topic_score_codex":0.0042060227,"about_ca_topic_score_gemma":0.0027912015,"teacher_disagreement_score":0.016277377,"about_ca_system_score_codex":0.0024781418,"about_ca_system_score_gemma":0.005443453,"threshold_uncertainty_score":0.08608401},"labels":[],"label_agreement":null},{"id":"W2140627026","doi":"10.1158/1055-9965.epi-08-0805","title":"Is There a Difference in the Association between Percent Mammographic Density and Subtypes of Breast Cancer? Luminal A and Triple-Negative Breast Cancer","year":2009,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"inVentiv Health Clinical","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute","keywords":"Breast cancer; Medicine; Oncology; Cancer; Estrogen receptor; Progesterone receptor; Internal medicine; Case-control study; Triple-negative breast cancer; Population; Gynecology","score_opus":0.02659757607344916,"score_gpt":0.3266927019763297,"score_spread":0.30009512590288057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140627026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974337,0.0013902227,0.00023797245,0.00016457417,0.000013329651,0.0000057860707,0.000117389056,0.0000040923364,0.00063289853],"genre_scores_gemma":[0.9995159,0.00017287911,0.0000887281,0.00003963998,0.00002330483,0.0000030850115,0.00007740316,0.0000013036005,0.00007776415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885094,0.00053519517,0.000100155594,0.00021537473,0.00021462407,0.00008382226],"domain_scores_gemma":[0.9929367,0.003942392,0.0017602477,0.0005159249,0.00036622846,0.00047859628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020848757,0.00019838914,0.0003363924,0.0009227471,0.0001879436,0.0005500375,0.0004959499,0.00065003365,0.0014871527],"category_scores_gemma":[0.011691004,0.0002529296,0.00050371833,0.0007346446,0.00066396303,0.00037536613,0.00037053015,0.0003494171,0.00017769379],"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":[0.00012605483,0.000008455284,0.99823403,0.000007725314,0.000068312824,0.000030031584,0.0000230893,0.000022975913,0.00013387737,0.000026335485,0.000026252583,0.0012928138],"study_design_scores_gemma":[0.0000049516957,0.000053228894,0.9993173,0.0000072318658,0.000043549397,0.00023063789,0.00005535436,0.00012011217,0.00004016851,0.000053410477,0.000072099916,0.0000019502468],"about_ca_topic_score_codex":0.002640614,"about_ca_topic_score_gemma":0.002308704,"teacher_disagreement_score":0.002640614,"about_ca_system_score_codex":0.00016746054,"about_ca_system_score_gemma":0.00017773038,"threshold_uncertainty_score":0.011026025},"labels":[],"label_agreement":null},{"id":"W2141481903","doi":"10.1186/bcr3430","title":"Mammographic density and breast cancer: a comparison of related and unrelated controls in the Breast Cancer Family Registry","year":2013,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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":"Hospital for Sick Children; Public Health Ontario; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institutes of Health; National Cancer Institute; Cancer Care Ontario","keywords":"Breast cancer; Medicine; Family history; Case-control study; Surgical oncology; Sister; Internal medicine; Oncology; Risk factors for breast cancer; Cancer; Risk factor; Gynecology; Obstetrics","score_opus":0.031223912849400726,"score_gpt":0.353461210656589,"score_spread":0.32223729780718824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141481903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995266,0.00008322542,0.00008260817,0.000009919254,0.000003383099,0.000008752383,0.00014470874,0.0000020485923,0.0001388261],"genre_scores_gemma":[0.9994809,0.000043564836,0.000070426344,0.000009456989,0.0000047282074,0.000009743256,0.0003001837,0.0000015497703,0.00007940911],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978783,0.00070254406,0.00021988951,0.0006225068,0.0004309816,0.00014582124],"domain_scores_gemma":[0.9970637,0.0007588555,0.0010909386,0.0005205421,0.00025563632,0.0003103287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018692316,0.00026489393,0.0005195393,0.0013729131,0.00063638104,0.0005604524,0.00048158615,0.00046667075,0.0013954644],"category_scores_gemma":[0.0071242712,0.00039306187,0.00034373734,0.0014245489,0.0005125077,0.0005211172,0.0007625852,0.00034407753,0.00026750553],"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":[0.00015503616,0.000046022324,0.9985958,0.000007465008,0.0000640975,0.00010168976,0.0002046903,0.000016905304,0.00025636458,0.000022025513,0.000044854078,0.00048515483],"study_design_scores_gemma":[0.0000144475525,0.00016710497,0.9985207,0.000003980529,0.00004095396,0.00051777204,0.00034751804,0.0001147413,0.00010192356,0.000019990093,0.00014728929,0.0000035669461],"about_ca_topic_score_codex":0.01047376,"about_ca_topic_score_gemma":0.007559702,"teacher_disagreement_score":0.01047376,"about_ca_system_score_codex":0.0004163885,"about_ca_system_score_gemma":0.00029668768,"threshold_uncertainty_score":0.020825565},"labels":[],"label_agreement":null},{"id":"W2141937355","doi":"10.1093/jnci/dju078","title":"Mammographic Density Phenotypes and Risk of Breast Cancer: A Meta-analysis","year":2014,"lang":"en","type":"review","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":364,"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":"National Cancer Institute; National Institutes of Health; Cancer Research UK; World Health Organization","keywords":"Breast cancer; MAMMOGRAPHIC DENSITY; Oncology; Meta-analysis; Absolute risk reduction; Breast density; Internal medicine; Medicine; Cancer; Mammography; Gynecology; Confidence interval","score_opus":0.08317180384958762,"score_gpt":0.3693260536127923,"score_spread":0.2861542497632047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141937355","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0885346,0.90497404,0.002676726,0.0006045868,0.00034258136,0.0002372942,0.0018271902,0.00012590707,0.0006770399],"genre_scores_gemma":[0.75763136,0.23474728,0.0037816374,0.000740345,0.00037453228,0.0004998526,0.0016602168,0.000054832373,0.0005099466],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9947496,0.0029266449,0.0007819107,0.00091329793,0.00041878634,0.00020963664],"domain_scores_gemma":[0.9885018,0.008485463,0.001386158,0.0007317197,0.00068731635,0.00020751612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0087355105,0.0026304564,0.009885132,0.0036535456,0.00065827667,0.0026336035,0.001607831,0.0018054052,0.0024041394],"category_scores_gemma":[0.01726045,0.0016479415,0.03951521,0.0047837277,0.0005782598,0.0007801069,0.0010447477,0.0016561846,0.0002907623],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047627636,0.0000386525,0.032849494,0.022504019,0.9314743,0.0001946728,0.000036342466,0.0016206977,0.00045137943,0.00007835133,0.0005342488,0.0054551354],"study_design_scores_gemma":[0.0006483526,0.00019317452,0.01272204,0.0013108654,0.9837763,0.00010389379,0.000016078291,0.0005226482,0.00010624331,0.00013253286,0.00045342732,0.000014521357],"about_ca_topic_score_codex":0.008003168,"about_ca_topic_score_gemma":0.012414924,"teacher_disagreement_score":0.009885132,"about_ca_system_score_codex":0.0012373173,"about_ca_system_score_gemma":0.0012066984,"threshold_uncertainty_score":0.04619831},"labels":[],"label_agreement":null},{"id":"W2142263867","doi":"10.1259/bjr/31850970","title":"Evaluation of breast amorphous calcifications by a computer-aided detection system in full-field digital mammography","year":2012,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Mammography; Digital mammography; Radiology; Malignancy; Biopsy; Breast cancer; CAD; Breast biopsy; Pathology; Internal medicine; Cancer","score_opus":0.01103431537591504,"score_gpt":0.2466872977275242,"score_spread":0.23565298235160917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142263867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953381,0.0013068885,0.0027573507,0.000020021027,0.000008478261,0.00003753807,0.000059246344,0.000052415267,0.00042002613],"genre_scores_gemma":[0.99208015,0.0002516118,0.007356254,0.000026754078,0.000015119688,0.000015547597,0.000109623434,0.0000031894856,0.00014180792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922526,0.000317081,0.000065810855,0.000106690626,0.0002424411,0.000042821368],"domain_scores_gemma":[0.99755764,0.0013313749,0.00038062877,0.00015485846,0.0004691081,0.00010626015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014697557,0.00025592445,0.00023225084,0.0010950321,0.00007786316,0.00044533046,0.00022073345,0.0003142249,0.0008380677],"category_scores_gemma":[0.006523176,0.00020555063,0.00015707144,0.0003588837,0.00018157835,0.0002823203,0.0003142207,0.00011813281,0.00025265722],"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":[0.001872493,0.00022342177,0.8372711,0.00024973703,0.0001335854,0.0004522964,0.00011079151,0.0006817369,0.04117581,0.00004388561,0.00022416063,0.11756097],"study_design_scores_gemma":[0.00012811548,0.002749151,0.95829713,0.00005788959,0.00016572436,0.0109331105,0.00008573945,0.009147748,0.017032223,0.00004552763,0.0013279561,0.000029724217],"about_ca_topic_score_codex":0.0004679124,"about_ca_topic_score_gemma":0.0007790754,"teacher_disagreement_score":0.0014697557,"about_ca_system_score_codex":0.00014034797,"about_ca_system_score_gemma":0.00016462957,"threshold_uncertainty_score":0.0077729225},"labels":[],"label_agreement":null},{"id":"W2142306777","doi":"10.1158/1078-0432.ccr-12-2789","title":"Mammographic Breast Density Response to Aromatase Inhibition","year":2013,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":33,"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 General Medical Sciences; National Cancer Institute; Avon Foundation for Women","keywords":"Aromatase inhibitor; Aromatase; Medicine; Internal medicine; Breast cancer; Letrozole; Tamoxifen; Body mass index; Estrogen; Cancer; Endocrinology; Oncology","score_opus":0.11402935958682121,"score_gpt":0.4777098744885168,"score_spread":0.3636805149016956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142306777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890566,0.00025444193,0.00013209063,0.000022587268,0.0000046667865,0.000034495843,0.00016426141,0.000009616147,0.00047216757],"genre_scores_gemma":[0.99920696,0.00007306506,0.00013300902,0.000026882975,0.0000077578625,0.00002965221,0.0002794416,0.0000012018127,0.00024199295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996567,0.000114438284,0.000023616012,0.000070068825,0.000092563394,0.00004260611],"domain_scores_gemma":[0.99946946,0.0001224803,0.00024559113,0.00005474446,0.000043908316,0.00006384268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041706781,0.00020248842,0.00028901728,0.0002556647,0.00012739569,0.00020515648,0.00026873534,0.00018662376,0.001432343],"category_scores_gemma":[0.001355354,0.00012486131,0.00022503217,0.00020412743,0.00023509009,0.00007595305,0.00016365683,0.00021976723,0.00017617761],"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":[0.013650378,0.002037258,0.8993713,0.00012051661,0.00026473548,0.0004231306,0.00009104431,0.00029292703,0.06092363,0.00006625225,0.0003621964,0.02239672],"study_design_scores_gemma":[0.00018139713,0.0049398867,0.98274004,0.000006908239,0.00010124512,0.0008820097,0.000027459599,0.00021345755,0.010387636,0.000027001619,0.00048916513,0.000003830652],"about_ca_topic_score_codex":0.0009198845,"about_ca_topic_score_gemma":0.000674769,"teacher_disagreement_score":0.001432343,"about_ca_system_score_codex":0.00028923008,"about_ca_system_score_gemma":0.00015474093,"threshold_uncertainty_score":0.0047916174},"labels":[],"label_agreement":null},{"id":"W2143686890","doi":"10.1186/bcr901","title":"Experimental manipulation of radiographic density in mouse mammary gland","year":2004,"lang":"en","type":"article","venue":"Breast Cancer Research","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":"Sunnybrook Health Science Centre; Health Sciences Centre; University Health Network; Ontario Institute for Cancer Research","funders":"Canadian Breast Cancer Research Alliance; Susan G. Komen","keywords":"Mammary gland; Mammography; MAMMOGRAPHIC DENSITY; PTEN; Pathology; Histology; Surgical oncology; Breast cancer; Stromal cell; Medicine; In vivo; Biology; Cancer; Internal medicine; Cell biology; Signal transduction; Genetics","score_opus":0.043493238483325314,"score_gpt":0.3586363230196951,"score_spread":0.3151430845363698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143686890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8982544,0.0038155129,0.08108398,0.00088152377,0.0003514876,0.001212827,0.003780881,0.0018908118,0.008728658],"genre_scores_gemma":[0.9064856,0.0035755446,0.06757381,0.00027994107,0.000084683066,0.001866271,0.003526488,0.00045664667,0.016150985],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987232,0.00022391604,0.00016757377,0.0002871467,0.00043370968,0.00016433309],"domain_scores_gemma":[0.9982932,0.00038242107,0.00059064064,0.00035457153,0.00013091616,0.0002482244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011843009,0.0012404941,0.00045295333,0.001995797,0.0005045427,0.00080085965,0.0011429737,0.0012357185,0.004199992],"category_scores_gemma":[0.00062438933,0.0007788074,0.00095780747,0.00055545295,0.0012115517,0.000570441,0.00080073794,0.0021144475,0.0011335793],"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":[0.0001938858,0.00018768487,0.0003415003,0.000090668764,0.000014846592,0.000101413156,0.000047615096,0.00018956776,0.99622065,0.0008563544,0.00011614032,0.0016397189],"study_design_scores_gemma":[0.00006487491,0.00083694415,0.0018778858,0.00003138181,0.00005164294,0.0005081769,0.00004009158,0.0009347036,0.9894679,0.00022212973,0.005947043,0.000017217508],"about_ca_topic_score_codex":0.0008408658,"about_ca_topic_score_gemma":0.0012347391,"teacher_disagreement_score":0.004199992,"about_ca_system_score_codex":0.0007268224,"about_ca_system_score_gemma":0.0005063914,"threshold_uncertainty_score":0.0140503645},"labels":[],"label_agreement":null},{"id":"W2144648281","doi":"10.1158/0008-5472.can-14-2012","title":"Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Capital District Health Authority; Amgen (Canada); Lunenfeld-Tanenbaum Research Institute; University of Toronto; Centre hospitalier universitaire de Québec; Izaak Walton Killam Health Centre","funders":"National Human Genome Research Institute; National Institute for Health and Care Research; Canadian Institutes of Health Research; Medical Research Council; National Cancer Institute; Cancer Research UK; Francis Crick Institute","keywords":"MAMMOGRAPHIC DENSITY; Breast cancer; Medicine; Oncology; Cancer; Mammography; Internal medicine","score_opus":0.1234562792647765,"score_gpt":0.39711998215436817,"score_spread":0.2736637028895917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144648281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99459344,0.001530708,0.0020790596,0.00015584659,0.000028428121,0.000011268149,0.0010621132,0.000053569715,0.0004855276],"genre_scores_gemma":[0.99714077,0.00024202537,0.0017162996,0.00003944939,0.000043040047,0.000015636728,0.00046576615,0.000012853594,0.000324171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992507,0.00015983274,0.00008814016,0.0003363788,0.00009351189,0.00007135316],"domain_scores_gemma":[0.99719006,0.0013602207,0.00092879776,0.00024458347,0.00012606503,0.00015040241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012605025,0.00048029816,0.0005207977,0.00076988,0.00029320476,0.0006914651,0.00058520073,0.00061694335,0.0024950288],"category_scores_gemma":[0.0050258334,0.0003183669,0.00096208934,0.0015120157,0.00044164574,0.00023770779,0.00038231394,0.0004736256,0.00018429944],"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":[0.0010341386,0.000051918734,0.977007,0.00009637769,0.0014184726,0.00093053514,0.00018550198,0.0008646234,0.006798488,0.00053459377,0.00047200354,0.010606321],"study_design_scores_gemma":[0.00014232023,0.00016319707,0.9889819,0.00003120766,0.00096609816,0.002036326,0.0000875521,0.0036788343,0.0011199558,0.0019082174,0.00086108583,0.000023215529],"about_ca_topic_score_codex":0.004086121,"about_ca_topic_score_gemma":0.006666398,"teacher_disagreement_score":0.004086121,"about_ca_system_score_codex":0.0002488322,"about_ca_system_score_gemma":0.00031110633,"threshold_uncertainty_score":0.008346677},"labels":[],"label_agreement":null},{"id":"W2147153911","doi":"10.1093/jnci/djq239","title":"Breast Tissue Composition and Susceptibility to Breast Cancer","year":2010,"lang":"en","type":"review","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":476,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Breast Cancer Research Alliance; National Institutes of Health; Michigan Economic Development Corporation","keywords":"Breast cancer; Mammography; Breast density; Medicine; Oncology; Risk factor; Risk factors for breast cancer; Breast MRI; Internal medicine; Breast tissue; Cancer; Gynecology","score_opus":0.04625216309442198,"score_gpt":0.3866464788053915,"score_spread":0.3403943157109695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147153911","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006709331,0.9895643,0.00021564118,0.00046914542,0.00013273288,0.000007609827,0.00009036493,0.000008208701,0.0028025312],"genre_scores_gemma":[0.031806536,0.9663527,0.0002846673,0.00021373485,0.0002648037,0.000010254264,0.00014065442,0.0000023366501,0.00092431303],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972075,0.000057892616,0.000032944343,0.000051951843,0.00010866632,0.000027796365],"domain_scores_gemma":[0.9996413,0.00014932967,0.00012327945,0.000009536309,0.00005669153,0.00001982339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003369075,0.0002401029,0.0005632344,0.0013596177,0.00013327086,0.00073587464,0.00027252824,0.00042206005,0.0017534314],"category_scores_gemma":[0.0010407526,0.00012789923,0.000374094,0.0013256832,0.00030282093,0.00032443088,0.000335283,0.00032722473,0.00047807797],"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":[0.00031231792,0.00008407397,0.0611982,0.011596472,0.00083182054,0.0014339042,0.00023820743,0.0008973058,0.006726777,0.005622701,0.016169589,0.8948887],"study_design_scores_gemma":[0.000041805626,0.0004410729,0.43813202,0.008757239,0.0014107827,0.021099651,0.0005160733,0.00053802284,0.0039022502,0.009035064,0.51604414,0.00008186682],"about_ca_topic_score_codex":0.0014761707,"about_ca_topic_score_gemma":0.0009672757,"teacher_disagreement_score":0.0017534314,"about_ca_system_score_codex":0.0002891096,"about_ca_system_score_gemma":0.00028658894,"threshold_uncertainty_score":0.0058657527},"labels":[],"label_agreement":null},{"id":"W2147191737","doi":"10.1186/bcr797","title":"Cytochrome P450 1A2 (CYP1A2) activity, mammographic density, and oxidative stress: a cross-sectional study","year":2004,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"Health Canada","keywords":"Surgical oncology; Oxidative stress; CYP1A2; Cross-sectional study; Medicine; MAMMOGRAPHIC DENSITY; Breast cancer; Internal medicine; Oncology; Cytochrome P450; Mammography; Cancer; Pathology","score_opus":0.05321533598339198,"score_gpt":0.4016467871541919,"score_spread":0.3484314511707999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147191737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983968,0.0005878559,0.00023402847,0.00003292881,0.000008299617,0.000026117885,0.00039991143,0.0000045079673,0.0003095354],"genre_scores_gemma":[0.9986064,0.00022123186,0.00035426073,0.00006399062,0.000022475273,0.000035652338,0.00044437216,0.0000025392578,0.00024899587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937195,0.0002475496,0.000050088172,0.00015865157,0.000117981275,0.000053911444],"domain_scores_gemma":[0.9979679,0.0005209945,0.00057841814,0.0002329477,0.00032547937,0.0003742311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013535306,0.00036276708,0.00035811984,0.0006190803,0.00051168376,0.00044526448,0.00028426253,0.0005550594,0.0017731661],"category_scores_gemma":[0.002355259,0.0005473517,0.00037774412,0.00087301456,0.0003085798,0.00039693317,0.00035022068,0.0005874968,0.0003906422],"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":[0.00009543965,0.00007035051,0.9989704,0.000008000038,0.000118538366,0.000022217986,0.000045686273,0.00001039785,0.00018033567,0.0000052873547,0.00004021144,0.0004330808],"study_design_scores_gemma":[0.000008325405,0.0002446351,0.99916184,0.000003491966,0.000068131965,0.00019342064,0.000053649434,0.000048234306,0.000058785874,0.0000070725023,0.00015056046,0.0000019351894],"about_ca_topic_score_codex":0.0029168813,"about_ca_topic_score_gemma":0.003307315,"teacher_disagreement_score":0.0029168813,"about_ca_system_score_codex":0.00016850166,"about_ca_system_score_gemma":0.00024176491,"threshold_uncertainty_score":0.00715822},"labels":[],"label_agreement":null},{"id":"W2147756491","doi":"10.1177/0969141314549758","title":"Cost-effectiveness of annual versus biennial screening mammography for women with high mammographic breast density","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Screening","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Calgary; Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"Canadian Institutes of Health Research; University of British Columbia; Canadian Centre for Applied Research in Cancer Control","keywords":"Medicine; Mammography; Breast cancer screening; Breast cancer; Cost effectiveness; Gynecology; Population; Quality-adjusted life year; Demography; Cost–benefit analysis; Overdiagnosis; Obstetrics; Cancer; Environmental health; Internal medicine","score_opus":0.020411378135011822,"score_gpt":0.286745448053679,"score_spread":0.2663340699186672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147756491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98299855,0.0067227115,0.0026778702,0.0012518421,0.00006713472,0.000528296,0.0009616698,0.00005854299,0.004733353],"genre_scores_gemma":[0.99742633,0.0009016109,0.0008802973,0.000111230496,0.000010594752,0.00010817462,0.00022495829,0.0000039952515,0.0003327564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836355,0.0010217099,0.00008652912,0.00011712996,0.00019863195,0.00021241761],"domain_scores_gemma":[0.99466515,0.004163431,0.0005592976,0.00011232444,0.00013186497,0.00036787815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035853514,0.0007254861,0.0012147792,0.000707004,0.00024546566,0.0012360299,0.0008222786,0.0011611355,0.004800019],"category_scores_gemma":[0.015933285,0.0003526601,0.0026945227,0.0005140584,0.00044157612,0.0010429472,0.00091160816,0.0010965941,0.0001393428],"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":[0.15976685,0.004511149,0.069148436,0.0038090567,0.008870184,0.00040319498,0.0003047633,0.5117866,0.0023954797,0.0060094786,0.0026210116,0.23037374],"study_design_scores_gemma":[0.022573952,0.060368985,0.20548645,0.0033446352,0.023841346,0.0018066774,0.0011841776,0.6567066,0.0035175444,0.01673426,0.004113579,0.0003218353],"about_ca_topic_score_codex":0.024367904,"about_ca_topic_score_gemma":0.02222033,"teacher_disagreement_score":0.024367904,"about_ca_system_score_codex":0.0044577233,"about_ca_system_score_gemma":0.003301906,"threshold_uncertainty_score":0.04845214},"labels":[],"label_agreement":null},{"id":"W2148044285","doi":"10.1186/bcr3378","title":"Mammographic density as a predictor of breast cancer survival: the Multiethnic Cohort","year":2013,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services","funders":"National Cancer Institute; U.S. Public Health Service","keywords":"Surgical oncology; Medicine; Breast cancer; Oncology; MAMMOGRAPHIC DENSITY; Cohort; Internal medicine; Cancer; Gynecology; Mammography","score_opus":0.04538143710708185,"score_gpt":0.3656367968761152,"score_spread":0.32025535976903335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148044285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991844,0.00024507008,0.00009560925,0.000045057684,0.000003269859,0.0000057514053,0.00026289446,0.0000022449958,0.00015572105],"genre_scores_gemma":[0.9995517,0.00010207679,0.000070417824,0.000008273965,0.000004604668,0.0000048807224,0.00018806243,8.6912877e-7,0.00006911605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997478,0.00008541245,0.000018323462,0.000061184845,0.000049535007,0.000037683243],"domain_scores_gemma":[0.99935454,0.00011226788,0.00024257264,0.00009260463,0.00006491249,0.00013314986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072649936,0.00019563887,0.00021624222,0.00038304413,0.00027439816,0.00042245854,0.00027102695,0.00019213166,0.00092533237],"category_scores_gemma":[0.0013675296,0.0001718648,0.0003996923,0.00054581143,0.00018755959,0.00024510245,0.00044963896,0.00029513772,0.00007555639],"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":[0.00007249923,0.000008733362,0.9988545,0.000004211076,0.000079305544,0.000041963096,0.000041010062,0.000038574137,0.00011370216,0.000010763477,0.00004385541,0.0006909716],"study_design_scores_gemma":[0.00000558161,0.000040045885,0.99924964,0.000005109391,0.00005527755,0.000120860306,0.00006379078,0.00026343996,0.000035943453,0.000020379972,0.0001377186,0.0000020924194],"about_ca_topic_score_codex":0.017787136,"about_ca_topic_score_gemma":0.017593646,"teacher_disagreement_score":0.017787136,"about_ca_system_score_codex":0.00018783771,"about_ca_system_score_gemma":0.00029392858,"threshold_uncertainty_score":0.03536719},"labels":[],"label_agreement":null},{"id":"W2148063833","doi":"10.1158/1055-9965.epi-09-0801","title":"Mammographic Density Change with 1 Year of Aerobic Exercise among Postmenopausal Women: A Randomized Controlled Trial","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Cancer Foundation; University of Calgary; University of Alberta; University of British Columbia; Alberta Health Services; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Medicine; Breast cancer; Randomized controlled trial; Confidence interval; Aerobic exercise; Mammography; Population; Cancer; Physical therapy; Internal medicine; Gynecology","score_opus":0.019198651973905485,"score_gpt":0.30184732054451346,"score_spread":0.282648668570608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148063833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593991,0.027355257,0.00066045794,0.0017342425,0.001341755,0.005597133,0.0009058194,0.00020231755,0.002803824],"genre_scores_gemma":[0.97500753,0.0093606785,0.0016553381,0.0018221034,0.0008409823,0.008464421,0.000649507,0.000015657006,0.0021837777],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99854386,0.0007631021,0.00013496129,0.00024172814,0.00013789971,0.00017847949],"domain_scores_gemma":[0.99856865,0.0005274674,0.00039710177,0.00009008023,0.00008993602,0.00032664574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212508,0.0011500003,0.0037762602,0.00060226826,0.0006118294,0.0011379676,0.0012056051,0.0026445969,0.0063118488],"category_scores_gemma":[0.004203559,0.00065731653,0.0022361064,0.0008092403,0.0010872709,0.0008285361,0.00047602286,0.0025626814,0.00050431886],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9762325,0.004501614,0.00080880657,0.0018988303,0.0017558723,0.00003469767,0.000045754172,0.00017358203,0.00040480882,0.00008258008,0.0005811158,0.01347975],"study_design_scores_gemma":[0.97947156,0.017477334,0.0016091802,0.00012951222,0.0007713744,0.000012513831,0.000016325272,0.00014202016,0.000054846827,0.000073347335,0.00023496566,0.0000070260194],"about_ca_topic_score_codex":0.0035266997,"about_ca_topic_score_gemma":0.005242635,"teacher_disagreement_score":0.0063118488,"about_ca_system_score_codex":0.00086304767,"about_ca_system_score_gemma":0.0017292843,"threshold_uncertainty_score":0.021115303},"labels":[],"label_agreement":null},{"id":"W2148231922","doi":"10.1158/1538-7445.sabcs14-p3-02-02","title":"Abstract P3-02-02: Impact of breast density notification laws on radiology practices: A survey of 110 radiology facilities","year":2015,"lang":"en","type":"article","venue":"Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast density; Medicine; Breast imaging; Breast cancer; Mandate; Modalities; Risk assessment; Family medicine; Exact test; Test (biology); Mammography; Radiology; Law; Surgery; Cancer; Internal medicine; Political science; Management","score_opus":0.2649883974362561,"score_gpt":0.47487390541557206,"score_spread":0.209885507979316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148231922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99680746,0.000037169757,0.0001378274,0.00029185967,0.0000036362135,0.00004316013,0.0014819163,0.000014862919,0.0011820565],"genre_scores_gemma":[0.9980362,0.00005340217,0.0002640703,0.00022491669,0.000006078057,0.00006652083,0.0009776813,0.000005617104,0.00036544784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679023,0.00070924155,0.0003711816,0.00034054427,0.0012468416,0.0005418567],"domain_scores_gemma":[0.9766576,0.005410854,0.011276305,0.0009623189,0.0033531294,0.0023398316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024106163,0.0001695242,0.00018706772,0.0011823198,0.0006111446,0.0008442996,0.0008340461,0.0005313283,0.0026289057],"category_scores_gemma":[0.014135672,0.00038451105,0.0003065495,0.0018548904,0.00081962475,0.0006894647,0.0012634522,0.0007460823,0.00055208884],"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":[0.00002515495,0.00008048838,0.9959163,0.0000151236945,0.00000917974,0.00002960556,0.0005264157,0.000049562823,0.0001529757,0.000016633794,0.00076450186,0.002414045],"study_design_scores_gemma":[0.0000030537562,0.00006997412,0.9979809,0.000014002846,0.0000040102072,0.00004928147,0.0012129867,0.000096944816,0.00010890582,0.000004497348,0.00045050625,0.0000049386454],"about_ca_topic_score_codex":0.11716296,"about_ca_topic_score_gemma":0.12093089,"teacher_disagreement_score":0.11716296,"about_ca_system_score_codex":0.00298348,"about_ca_system_score_gemma":0.004156974,"threshold_uncertainty_score":0.23296195},"labels":[],"label_agreement":null},{"id":"W2148553912","doi":"10.1148/radiol.2471070418","title":"Accuracy of Soft-Copy Digital Mammography versus That of Screen-Film Mammography according to Digital Manufacturer: ACRIN DMIST Retrospective Multireader Study","year":2008,"lang":"en","type":"article","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","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 Toronto","funders":"University of North Carolina at Chapel Hill; Thomas Jefferson University; Moffitt Cancer Center; University of Cincinnati; Johns Hopkins University; Northwestern University; Massachusetts General Hospital; University of California, Los Angeles; Memorial Sloan-Kettering Cancer Center; University of Washington; Brown University; National Cancer Institute; University of Toronto; Emory University; University of Pennsylvania","keywords":"Medicine; Mammography; Digital mammography; Medical physics; Radiology; Receiver operating characteristic; Institutional review board; Breast cancer; Cancer; Surgery; Internal medicine","score_opus":0.026571253503711572,"score_gpt":0.2803575615736214,"score_spread":0.2537863080699098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148553912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972082,0.0008370193,0.0005763178,0.000022024104,0.000012158133,0.000029699937,0.00052428956,0.000019205863,0.00077111484],"genre_scores_gemma":[0.998968,0.00009237145,0.0003085312,0.00002061451,0.000018563069,0.00001064562,0.00042626302,0.0000061894452,0.00014885682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949031,0.0020583053,0.00052431674,0.0011937907,0.0011256703,0.00019484697],"domain_scores_gemma":[0.98134965,0.007906735,0.006030216,0.0023119298,0.0021156687,0.000285812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004734025,0.0004411024,0.0005616573,0.0013987948,0.00021690795,0.0012326714,0.0006573282,0.0005419682,0.00095088535],"category_scores_gemma":[0.022158662,0.00031208395,0.0004667168,0.0007881284,0.00042344737,0.00064483756,0.00055150816,0.00031542216,0.0004536912],"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":[0.003442869,0.00006035215,0.9879445,0.00006962508,0.00029158843,0.000049138816,0.00007793727,0.00014522823,0.00079153926,0.000028375185,0.0001313921,0.006967416],"study_design_scores_gemma":[0.00015091317,0.0018169255,0.99068755,0.000036572852,0.0004903875,0.0010602976,0.00011509086,0.002050668,0.0026435922,0.000061869054,0.0008615108,0.00002458464],"about_ca_topic_score_codex":0.0006451034,"about_ca_topic_score_gemma":0.00092479127,"teacher_disagreement_score":0.004734025,"about_ca_system_score_codex":0.00034416167,"about_ca_system_score_gemma":0.00016739956,"threshold_uncertainty_score":0.025036216},"labels":[],"label_agreement":null},{"id":"W2149654050","doi":"10.1007/s10552-014-0351-0","title":"Bilateral symmetry of breast tissue composition by magnetic resonance in young women and adults","year":2014,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Magnetic resonance imaging; Public health; Epidemiology; Symmetry (geometry); Hematology; Composition (language); Nuclear magnetic resonance; Internal medicine; Radiology; Pathology; Physics","score_opus":0.002676966371780459,"score_gpt":0.2198433483595063,"score_spread":0.21716638198772584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149654050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982711,0.000635374,0.000112406255,0.000041885505,0.000007694741,0.0000083041605,0.000168209,0.000005777882,0.0007492303],"genre_scores_gemma":[0.99955887,0.00012022705,0.00007982944,0.0000204513,0.000007993171,0.0000039396914,0.00009104011,0.0000018321161,0.00011577823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996705,0.00006413816,0.00003589952,0.0000837732,0.00009996455,0.00004579531],"domain_scores_gemma":[0.9991258,0.00015168534,0.0004609805,0.000043143496,0.00008845383,0.00013001461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044299712,0.00013022117,0.00026606434,0.0009489386,0.00019407598,0.00031585127,0.00012787119,0.00026167138,0.001968034],"category_scores_gemma":[0.002216064,0.00013536811,0.00017509358,0.00054105284,0.00027041495,0.00028993355,0.0002913245,0.00013101718,0.00035171025],"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":[0.00012729978,0.000011419891,0.9926664,0.000016093543,0.000020781119,0.00036707887,0.00017522043,0.000013348176,0.0010637284,0.00002387159,0.00008321823,0.0054315506],"study_design_scores_gemma":[0.0000022041954,0.000054469805,0.9988777,0.0000027358137,0.0000043272194,0.0007596273,0.00011158703,0.000022895812,0.00007617859,0.000021280111,0.00006571033,0.0000012499954],"about_ca_topic_score_codex":0.0020978535,"about_ca_topic_score_gemma":0.0024438738,"teacher_disagreement_score":0.0020978535,"about_ca_system_score_codex":0.00020548185,"about_ca_system_score_gemma":0.0001454491,"threshold_uncertainty_score":0.0065836906},"labels":[],"label_agreement":null},{"id":"W2150307384","doi":"10.1200/jco.2009.27.5933","title":"Is Mammographic Breast Density a Breast Cancer Risk Factor in Women With <i>BRCA</i> Mutations?","year":2010,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":32,"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","funders":"","keywords":"Medicine; Breast cancer; MAMMOGRAPHIC DENSITY; Oncology; BRCA mutation; Gynecology; Risk factor; Breast density; Internal medicine; Mammography; Cancer; Obstetrics","score_opus":0.0303247694819749,"score_gpt":0.3796676870308949,"score_spread":0.34934291754892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150307384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987589,0.00064645906,0.000102418555,0.00014123345,0.000008890699,0.0000057482976,0.0000796494,0.0000042052557,0.0002525801],"genre_scores_gemma":[0.999673,0.00009639971,0.00007937485,0.000028781542,0.00002295597,0.0000032761068,0.000061519604,8.4659507e-7,0.000033824348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995561,0.00016782968,0.00004214792,0.000099394376,0.00009419305,0.000040312174],"domain_scores_gemma":[0.99725765,0.0008986404,0.0013161069,0.0001412291,0.00017214491,0.00021423618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007970139,0.00024363208,0.0003694593,0.00062844163,0.00021046042,0.0005162344,0.00041856163,0.0006439381,0.00089657103],"category_scores_gemma":[0.0071872654,0.00022002531,0.00027609023,0.0005579117,0.000671147,0.00035217512,0.0002457743,0.000419879,0.0001365424],"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":[0.00007692069,0.000013888684,0.99899226,0.0000053166,0.000017380255,0.000044450615,0.000014317292,0.000012200265,0.00010287502,0.0000049489427,0.00003236677,0.0006830108],"study_design_scores_gemma":[0.000008742003,0.00013375633,0.99851924,0.000007627427,0.00005553738,0.00071783207,0.00006715398,0.00026911875,0.00010781111,0.000027345883,0.0000829976,0.0000028332179],"about_ca_topic_score_codex":0.0023595204,"about_ca_topic_score_gemma":0.0021143598,"teacher_disagreement_score":0.0023595204,"about_ca_system_score_codex":0.00021350021,"about_ca_system_score_gemma":0.00019384574,"threshold_uncertainty_score":0.004691541},"labels":[],"label_agreement":null},{"id":"W2153543672","doi":"10.1093/jnci/djq465","title":"Response: Re: Breast Tissue Composition and Susceptibility to Breast Cancer","year":2010,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","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":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Oncology; Composition (language); Internal medicine; Medicine; Cancer; Art","score_opus":0.02125774143142544,"score_gpt":0.33854299440098695,"score_spread":0.3172852529695615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153543672","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041079696,0.0015226664,0.00012349669,0.9218268,0.06929721,0.00018341035,0.0017833038,0.00018384219,0.0046685324],"genre_scores_gemma":[0.0018599086,0.0012713296,0.00016060677,0.95234823,0.028941965,0.0002788324,0.00040431425,0.000062159874,0.014672615],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99816436,0.000549641,0.00031139769,0.00027985344,0.00044257316,0.00025228123],"domain_scores_gemma":[0.99035335,0.0038142283,0.0005414506,0.0003662953,0.0039855815,0.0009390672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030745787,0.0014160447,0.0018731696,0.0010572195,0.0018580217,0.0019930303,0.0023874387,0.021203978,0.07183687],"category_scores_gemma":[0.024368817,0.00067110255,0.0016391878,0.0006364632,0.0014286545,0.002488689,0.002167995,0.015202771,0.043622676],"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":[0.000046738114,0.000010460457,0.00024215928,0.00014750702,0.000007863564,0.000057272326,0.000029750287,0.000014707571,0.00005072765,0.00021955081,0.99590343,0.0032697709],"study_design_scores_gemma":[0.00028312334,0.0001223143,0.0040417206,0.001349858,0.00004339904,0.0005793772,0.0008410348,0.0001272933,0.00025217343,0.002579594,0.98968935,0.00009060979],"about_ca_topic_score_codex":0.010208765,"about_ca_topic_score_gemma":0.00683445,"teacher_disagreement_score":0.07183687,"about_ca_system_score_codex":0.0028569116,"about_ca_system_score_gemma":0.003630025,"threshold_uncertainty_score":0.24031824},"labels":[],"label_agreement":null},{"id":"W2155925197","doi":"10.1080/09513590400030053","title":"Mammographic breast density and cancer risk: The radiological view","year":2005,"lang":"en","type":"article","venue":"Gynecological Endocrinology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Ontario Institute for Cancer Research; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Breast cancer; Breast density; Medicine; Surrogate endpoint; MAMMOGRAPHIC DENSITY; Mammography; Breast imaging; Oncology; Gynecology; Radiology; Cancer; Internal medicine","score_opus":0.012333051383657251,"score_gpt":0.2592815282048954,"score_spread":0.24694847682123816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155925197","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008697847,0.7757436,0.015193065,0.15374564,0.0052270484,0.000052508803,0.00045911272,0.00012760972,0.040753566],"genre_scores_gemma":[0.30316478,0.54140466,0.02084223,0.073196605,0.044236075,0.00014988257,0.0004256958,0.00008892104,0.016491212],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977816,0.0012193675,0.00016214336,0.00019149392,0.0005863761,0.000059083788],"domain_scores_gemma":[0.9943973,0.0035360607,0.0005175409,0.00028106166,0.00092046155,0.0003476087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004125937,0.0011761962,0.0010390591,0.0070320903,0.0005060003,0.0043686414,0.001721155,0.0035640143,0.0040543936],"category_scores_gemma":[0.007976588,0.00056817714,0.00072152494,0.002478367,0.0071490244,0.0043652807,0.0018678763,0.005658706,0.001048185],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012883949,0.00036167385,0.077464506,0.0064428505,0.0012179227,0.0018344417,0.0015540773,0.0026626445,0.0041909735,0.3367079,0.1067883,0.4594863],"study_design_scores_gemma":[0.000108058346,0.0012800047,0.08387704,0.0076225474,0.0008119021,0.014686317,0.0021125164,0.003406341,0.002050988,0.2684343,0.61532235,0.00028754259],"about_ca_topic_score_codex":0.0051282058,"about_ca_topic_score_gemma":0.0047959182,"teacher_disagreement_score":0.0070320903,"about_ca_system_score_codex":0.001790396,"about_ca_system_score_gemma":0.0012012658,"threshold_uncertainty_score":0.021820307},"labels":[],"label_agreement":null},{"id":"W2160408484","doi":"10.1056/nejmoa062790","title":"Mammographic Density and the Risk and Detection of Breast Cancer","year":2007,"lang":"en","type":"article","venue":"New England Journal of Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2462,"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 Sciences Centre; Sunnybrook Health Science Centre; BC Cancer Agency; Cancer Care Ontario; Women's College Hospital; Ontario Institute for Cancer Research","funders":"","keywords":"Medicine; Odds ratio; Breast cancer; Mammography; Confidence interval; Cancer; Breast density; Breast cancer screening; Cancer screening; Case-control study; Gynecology; Obstetrics; MAMMOGRAPHIC DENSITY; Internal medicine; Oncology","score_opus":0.005368439947403364,"score_gpt":0.2360224064022769,"score_spread":0.23065396645487354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160408484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958306,0.0029346196,0.00030480517,0.00014532644,0.000007630532,0.000012122526,0.0001608571,0.0000071806053,0.0005969415],"genre_scores_gemma":[0.9993647,0.0003267746,0.0001495002,0.000014596261,0.0000101554315,0.000004723615,0.000079892074,8.327362e-7,0.000048882754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916935,0.00036924233,0.000061117666,0.00014907793,0.00018732029,0.0000638668],"domain_scores_gemma":[0.9944765,0.0020109005,0.0026355977,0.00024185084,0.00030527246,0.00032989096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010047479,0.0002342267,0.00026001013,0.0008364338,0.00016668314,0.0004520008,0.00037845763,0.0003616949,0.0011585299],"category_scores_gemma":[0.00798679,0.00026132632,0.0003216297,0.0006101043,0.0005376519,0.00021188575,0.0003643182,0.0003931657,0.000108458546],"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":[0.00012561018,0.000030433923,0.99763703,0.000024693525,0.00015934347,0.00006973414,0.00003087783,0.000070655056,0.00023400385,0.000033801556,0.000046866287,0.0015369086],"study_design_scores_gemma":[0.000009036949,0.00006953014,0.9987538,0.000018860377,0.000073320625,0.0005305205,0.000024498862,0.00017051783,0.00012788283,0.00007822287,0.00014053461,0.000003293827],"about_ca_topic_score_codex":0.0035408374,"about_ca_topic_score_gemma":0.0021097572,"teacher_disagreement_score":0.0035408374,"about_ca_system_score_codex":0.00025752373,"about_ca_system_score_gemma":0.00024243061,"threshold_uncertainty_score":0.007040441},"labels":[],"label_agreement":null},{"id":"W2161836295","doi":"10.1158/1055-9965.epi-07-2636","title":"Predictors of Mammographic Density: Insights Gained from a Novel Regression Analysis of a Twin Study","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Cancer Care Ontario; Robarts Clinical Trials; Women's College Hospital; Ontario Institute for Cancer Research","funders":"National Cancer Institute; National Medical Research Council; National Health and Medical Research Council","keywords":"Covariate; Confounding; Twin study; Regression analysis; Demography; Parity (physics); Statistics; Body mass index; Regression; MAMMOGRAPHIC DENSITY; Menarche; Medicine; Mathematics; Breast cancer; Heritability; Biology; Cancer; Mammography; Internal medicine","score_opus":0.05579599589083832,"score_gpt":0.34329673321579374,"score_spread":0.2875007373249554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161836295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8825055,0.003990387,0.11060294,0.00066268875,0.00010651758,0.00010312731,0.0004907319,0.000053936175,0.0014842142],"genre_scores_gemma":[0.9470513,0.0012999935,0.050357983,0.000076405726,0.00006944638,0.00010141972,0.00033039224,0.000039312374,0.00067373377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925356,0.0057322164,0.00029227542,0.00092184247,0.00038465162,0.0001334529],"domain_scores_gemma":[0.98503417,0.009861178,0.0014339577,0.0025071613,0.00086422934,0.00029922964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01247987,0.00081033364,0.0011034213,0.000997064,0.0007406482,0.0014424188,0.00081321003,0.0004354778,0.0009807574],"category_scores_gemma":[0.04321961,0.0005556843,0.0014712323,0.0017244738,0.0006433324,0.00079672504,0.0016235891,0.0011288911,0.00014321411],"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":[0.0010495314,0.00017891215,0.9156801,0.00017532038,0.0048298705,0.0013676453,0.0023884433,0.008943296,0.0031063955,0.017981438,0.00078532315,0.043513786],"study_design_scores_gemma":[0.0003016606,0.00073082396,0.7475356,0.00019377543,0.0062892814,0.0041345772,0.0014724443,0.18767114,0.002088978,0.04273011,0.006678873,0.00017286825],"about_ca_topic_score_codex":0.013604432,"about_ca_topic_score_gemma":0.015795521,"teacher_disagreement_score":0.013604432,"about_ca_system_score_codex":0.00049420336,"about_ca_system_score_gemma":0.0009328848,"threshold_uncertainty_score":0.06600064},"labels":[],"label_agreement":null},{"id":"W2162040036","doi":"10.1158/1055-9965.epi-07-2547","title":"A Pilot Study of Compositional Analysis of the Breast and Estimation of Breast Mammographic Density Using Three-Dimensional T1-Weighted Magnetic Resonance Imaging","year":2008,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"Cancer Research UK","keywords":"Magnetic resonance imaging; Breast cancer; MAMMOGRAPHIC DENSITY; Mammography; Breast density; Medicine; Breast MRI; Nuclear medicine; Radiology; Cancer; Internal medicine","score_opus":0.035385293085850346,"score_gpt":0.3086192407959697,"score_spread":0.27323394771011933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162040036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977192,0.00004264293,0.0006771803,0.00006373325,0.000029236504,0.00097137404,0.00009344429,0.00002264591,0.0003804213],"genre_scores_gemma":[0.9908003,0.00010479626,0.004074597,0.00035804842,0.00011356622,0.0018288438,0.0005041508,0.00003074547,0.0021848383],"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9978751,0.0010676282,0.00009688851,0.00038863646,0.00029473632,0.00027709946],"domain_scores_gemma":[0.9954758,0.0013670995,0.0002690726,0.0007043049,0.00070570066,0.0014780178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049827117,0.0015153612,0.0010506065,0.0008258853,0.001755556,0.00047451942,0.0009442061,0.0010614126,0.004613628],"category_scores_gemma":[0.004971646,0.0007730894,0.0008579105,0.00041354191,0.001635908,0.0009872034,0.0011043657,0.0013706236,0.0014643025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.061484378,0.42884055,0.33594432,0.0007415899,0.00061317993,0.009595056,0.01586641,0.0008419474,0.07477269,0.0006838479,0.003024345,0.06759176],"study_design_scores_gemma":[0.0076158843,0.70334166,0.27140132,0.00002276892,0.0001966792,0.003299858,0.00314746,0.0009853318,0.0055590575,0.00030570416,0.00404272,0.00008163403],"about_ca_topic_score_codex":0.0023849744,"about_ca_topic_score_gemma":0.00259353,"teacher_disagreement_score":0.0049827117,"about_ca_system_score_codex":0.00045583138,"about_ca_system_score_gemma":0.0012258798,"threshold_uncertainty_score":0.026351392},"labels":[],"label_agreement":null},{"id":"W2162350372","doi":"10.1016/j.acra.2004.04.003","title":"Diagnostic accuracy of Fischer Senoscan Digital Mammography versus screen-film mammography in a diagnostic mammography population1","year":2004,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Medicine; Digital mammography; Confidence interval; Diagnostic accuracy; Breast cancer; Radiology; Nuclear medicine; Cancer; Internal medicine","score_opus":0.015440406254405412,"score_gpt":0.2778020144080622,"score_spread":0.2623616081536568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162350372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99912554,0.0002448176,0.00008799542,0.000044912686,0.000007543761,0.0000026133619,0.000052563308,0.000004030947,0.00043003907],"genre_scores_gemma":[0.9994511,0.00011572248,0.00020066038,0.000018274906,0.0000142276685,0.000002087312,0.00010463892,0.0000025702327,0.000090741574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999206,0.00034657808,0.00008157832,0.00011858124,0.000141643,0.00010558911],"domain_scores_gemma":[0.9952768,0.0034014138,0.00041880977,0.00020190259,0.0004313236,0.00026981632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017916637,0.00044736426,0.00038226807,0.0015818056,0.00025073934,0.000597954,0.0005879343,0.000730731,0.0021663422],"category_scores_gemma":[0.012111226,0.0001960828,0.0004087657,0.0006576599,0.00047467143,0.00073779584,0.0003664463,0.00028216612,0.00041153666],"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":[0.0045981053,0.00009412313,0.983888,0.000026020356,0.00005841886,0.00037273095,0.0001577159,0.00011472543,0.0026452297,0.000082571,0.000113632625,0.007848727],"study_design_scores_gemma":[0.00010964889,0.002185489,0.9812812,0.00001867409,0.00033041197,0.004746874,0.00080392207,0.004323158,0.0054442952,0.00031208788,0.00041443142,0.000029850076],"about_ca_topic_score_codex":0.0014364724,"about_ca_topic_score_gemma":0.0017243606,"teacher_disagreement_score":0.0021663422,"about_ca_system_score_codex":0.00029365296,"about_ca_system_score_gemma":0.00028074204,"threshold_uncertainty_score":0.00947535},"labels":[],"label_agreement":null},{"id":"W2163060364","doi":"10.1186/bcr2942","title":"Mammographic density and breast cancer risk: current understanding and future prospects","year":2011,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":618,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Ontario Ministry of Health and Long-Term Care; Canadian Breast Cancer Research Alliance","keywords":"Breast cancer; Medicine; Surgical oncology; Context (archaeology); Oncology; Disease; Cancer; Gynecology; Internal medicine; Biology","score_opus":0.11971321350185907,"score_gpt":0.4066424522613251,"score_spread":0.2869292387594661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163060364","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003746095,0.99902177,0.00004677009,0.00046889443,0.00008059642,0.0000012471606,0.0000086253,0.0000031664565,0.0003315201],"genre_scores_gemma":[0.00024361881,0.9992798,0.000078950376,0.00011988668,0.00013695851,0.0000022749493,0.000010462892,5.4502806e-7,0.00012759195],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999608,0.0000940553,0.0000607689,0.00007218481,0.00013515126,0.000029938712],"domain_scores_gemma":[0.9981402,0.0011573057,0.00018626364,0.000039755025,0.00037766606,0.00009880196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001539136,0.0010637798,0.0023865337,0.002772547,0.00033354547,0.0015854789,0.0014548649,0.0021278022,0.0061295484],"category_scores_gemma":[0.0026122103,0.00044605762,0.00066554314,0.0042122966,0.0009834381,0.0027698602,0.00092969975,0.002157499,0.0027942983],"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":[0.000074930766,0.000057016012,0.0005401971,0.012731812,0.00008467843,0.00016630586,0.00005707014,0.00025206356,0.00025386977,0.0035808564,0.026295528,0.9559056],"study_design_scores_gemma":[0.000023426843,0.000111603455,0.003439104,0.014534155,0.00025258245,0.0023000638,0.0002427052,0.00020881691,0.00017217302,0.008236904,0.97042894,0.000049573253],"about_ca_topic_score_codex":0.002535602,"about_ca_topic_score_gemma":0.0031557307,"teacher_disagreement_score":0.0061295484,"about_ca_system_score_codex":0.0009690546,"about_ca_system_score_gemma":0.0017879383,"threshold_uncertainty_score":0.020505428},"labels":[],"label_agreement":null},{"id":"W2166454331","doi":"10.1158/1055-9965.epi-09-0881","title":"Family History, Mammographic Density, and Risk of Breast Cancer","year":2010,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Sunnybrook Health Science Centre; BC Cancer Agency","funders":"","keywords":"Breast cancer; Family history; Medicine; Odds ratio; Confidence interval; MAMMOGRAPHIC DENSITY; Relative risk; Mammography; Risk factor; Obstetrics; Risk factors for breast cancer; Cancer; Gynecology; Internal medicine; Oncology; Demography","score_opus":0.024956400360124857,"score_gpt":0.3096159957378007,"score_spread":0.2846595953776758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166454331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969022,0.0023561614,0.00021345595,0.00010145767,0.000005443754,0.0000058388478,0.00008786285,0.000005932861,0.00032170635],"genre_scores_gemma":[0.9994723,0.00025239386,0.00013875501,0.000011850289,0.0000065306226,0.0000029366142,0.000045500943,7.461346e-7,0.00006898604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993617,0.00035053448,0.000027633216,0.00010624015,0.00011408691,0.0000397998],"domain_scores_gemma":[0.99770856,0.001002329,0.0008447055,0.000112618916,0.00014127948,0.00019053958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009343365,0.00024515085,0.00020636876,0.00065836136,0.00024575274,0.00031012672,0.00027554852,0.00029208124,0.0010305342],"category_scores_gemma":[0.007012762,0.00018297641,0.00022495323,0.000467267,0.0003784201,0.0001926049,0.0002380666,0.0002775029,0.00008299356],"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":[0.00005856568,0.000020586229,0.9979876,0.000012967993,0.00011259929,0.000060272647,0.000027098053,0.00006559795,0.00016191506,0.000015167149,0.000034472883,0.0014430342],"study_design_scores_gemma":[0.0000049606233,0.000052887233,0.9989636,0.0000093114295,0.00006954077,0.0004365093,0.000021519521,0.00022471855,0.00007029457,0.000047361715,0.00009712887,0.0000020356724],"about_ca_topic_score_codex":0.006380154,"about_ca_topic_score_gemma":0.00539599,"teacher_disagreement_score":0.006380154,"about_ca_system_score_codex":0.00026084093,"about_ca_system_score_gemma":0.0002086482,"threshold_uncertainty_score":0.012686014},"labels":[],"label_agreement":null},{"id":"W2166888153","doi":"10.1158/1055-9965.2090.13.12","title":"Mammographic Density and Estrogen Receptor Status of Breast Cancer","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Immunovaccine (Canada)","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Cancer Institute","keywords":"Breast cancer; Medicine; Mammography; Estrogen receptor; Hazard ratio; Oncology; Internal medicine; Cancer; Body mass index; Estrogen; Gynecology; Confidence interval; Risk factors for breast cancer; Obstetrics","score_opus":0.02693126314195629,"score_gpt":0.334283720427013,"score_spread":0.30735245728505667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166888153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99350643,0.003291166,0.0002176604,0.00023737387,0.000015624793,0.0000138583855,0.00088945456,0.000012442092,0.0018159352],"genre_scores_gemma":[0.9988809,0.00040398075,0.000120311415,0.000022300203,0.00002036177,0.0000074167,0.00038782612,0.000001587355,0.000155322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959666,0.000144324,0.00003788711,0.00006793487,0.00010945082,0.000043664888],"domain_scores_gemma":[0.9959871,0.0011678904,0.0020304043,0.0001638174,0.0003341754,0.00031646664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006641064,0.00020999838,0.00021829034,0.0008859999,0.00017663445,0.00034390143,0.00034306134,0.0002472034,0.0024079827],"category_scores_gemma":[0.004937753,0.00014996604,0.00024413667,0.00082425633,0.00032527733,0.00021872306,0.0002829765,0.00031687767,0.00029292706],"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":[0.000042684398,0.0000069618723,0.9987972,0.000010336671,0.00003425051,0.00003246892,0.000009066365,0.000036077356,0.000050412502,0.000012588626,0.00009078915,0.0008770804],"study_design_scores_gemma":[0.0000031273128,0.00002369453,0.9991035,0.000013459702,0.000028116307,0.00037698427,0.000018541594,0.00010745035,0.000042764117,0.000025550187,0.00025527817,0.0000015685022],"about_ca_topic_score_codex":0.0037390809,"about_ca_topic_score_gemma":0.0031332683,"teacher_disagreement_score":0.0037390809,"about_ca_system_score_codex":0.00026018766,"about_ca_system_score_gemma":0.00019215878,"threshold_uncertainty_score":0.0080554485},"labels":[],"label_agreement":null},{"id":"W2168620738","doi":"10.1016/j.canep.2012.06.007","title":"Higher alcohol intake may modify the association between mammographic density and breast cancer: An analysis of three case–control studies","year":2012,"lang":"en","type":"article","venue":"Cancer Epidemiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; Dalhousie University; Alberta Health Services","funders":"National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Medicine; MAMMOGRAPHIC DENSITY; Breast cancer; Logistic regression; Alcohol consumption; Mammography; Case-control study; Demography; Alcohol intake; Breast density; Population; Alcohol; Cancer; Environmental health; Internal medicine; Oncology; Gynecology","score_opus":0.08614192155345292,"score_gpt":0.37714631467460735,"score_spread":0.29100439312115445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168620738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806434,0.0011901486,0.0003465451,0.000028964385,0.000010318887,0.000040669667,0.00012312474,0.000005222903,0.00019060227],"genre_scores_gemma":[0.9990515,0.0002820009,0.0003252525,0.00002595763,0.000009227223,0.00002304052,0.00016698809,0.0000037843754,0.000112338465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99632734,0.0020841048,0.0004177589,0.00053643686,0.0003763748,0.0002579617],"domain_scores_gemma":[0.99188554,0.004336215,0.001685607,0.0011391825,0.00056346215,0.00039002346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004903679,0.0010065722,0.0011436031,0.0017730901,0.0010762617,0.0014330244,0.0009412084,0.0010856625,0.0014845005],"category_scores_gemma":[0.007648229,0.00094150344,0.0025778962,0.0021428638,0.00094837416,0.00046651822,0.0006576982,0.00076429854,0.00014802918],"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":[0.003713983,0.0002873678,0.9881728,0.00006957571,0.004139525,0.00018455791,0.0001736937,0.00006454794,0.0016563153,0.000046130812,0.000034803536,0.0014567251],"study_design_scores_gemma":[0.00021459004,0.00053687714,0.99541485,0.000008967031,0.0027982628,0.00022370851,0.0000840628,0.00021501428,0.00030299558,0.00004241205,0.0001461324,0.000012309344],"about_ca_topic_score_codex":0.015031922,"about_ca_topic_score_gemma":0.013653073,"teacher_disagreement_score":0.015031922,"about_ca_system_score_codex":0.0006435519,"about_ca_system_score_gemma":0.0005340236,"threshold_uncertainty_score":0.029888868},"labels":[],"label_agreement":null},{"id":"W2168644477","doi":"10.1118/1.2164067","title":"Quality control for digital mammography: Part II recommendations from the ACRIN DMIST trial","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":65,"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 Sciences Centre; Sunnybrook Health Science Centre","funders":"National Institutes of Health","keywords":"Digital mammography; Mammography; Medical physics; Consistency (knowledge bases); Medicine; Quality (philosophy); Image quality; Population; Computer science; Artificial intelligence; Breast cancer","score_opus":0.025065644117324624,"score_gpt":0.3067056631722562,"score_spread":0.2816400190549316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168644477","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009958171,0.12854941,0.050571114,0.60028064,0.03478275,0.07347521,0.016680041,0.0021930353,0.08350956],"genre_scores_gemma":[0.054590978,0.046866618,0.23517792,0.46903566,0.019632405,0.136802,0.014012898,0.0008289438,0.023052616],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.77810913,0.15359455,0.028053697,0.0038816764,0.03355544,0.0028054994],"domain_scores_gemma":[0.7378461,0.13805129,0.044651616,0.015843788,0.05295879,0.01064851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.18900327,0.0025539633,0.0041025975,0.0035324136,0.0017419629,0.0075353854,0.0073876195,0.024474908,0.006270874],"category_scores_gemma":[0.32900423,0.001771677,0.007416492,0.0036480054,0.0028393245,0.0026609038,0.002525636,0.014535955,0.004716625],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015185056,0.0008674529,0.0040486474,0.01501381,0.001494488,0.0003536481,0.00072411384,0.002325814,0.0018531153,0.01994239,0.698503,0.23968841],"study_design_scores_gemma":[0.06196344,0.006008118,0.03501729,0.07008059,0.0055113374,0.0006037891,0.00048955687,0.007314345,0.0048126266,0.025870293,0.7816889,0.0006396544],"about_ca_topic_score_codex":0.007951471,"about_ca_topic_score_gemma":0.0072092996,"teacher_disagreement_score":0.18900327,"about_ca_system_score_codex":0.005631176,"about_ca_system_score_gemma":0.016352702,"threshold_uncertainty_score":0.9995568},"labels":[],"label_agreement":null},{"id":"W2168939130","doi":"10.1158/1055-9965.epi-05-0762","title":"Mammographic Density as a Surrogate Marker for the Effects of Hormone Therapy on Risk of Breast Cancer","year":2006,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; BC Cancer Agency; Sunnybrook Health Science Centre; Cancer Care Ontario","funders":"","keywords":"Breast cancer; Medicine; Odds ratio; Confidence interval; Hormone therapy; Oncology; Hormone replacement therapy (female-to-male); Internal medicine; Hormone; Cancer; Case-control study; Risk factor; Gynecology; Testosterone (patch)","score_opus":0.01556154581326123,"score_gpt":0.3152665282743102,"score_spread":0.29970498246104893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168939130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853125,0.0067018587,0.0033147004,0.00023084803,0.000028230614,0.00009593352,0.0008074403,0.000027501328,0.0034809427],"genre_scores_gemma":[0.997801,0.00050108787,0.0012029504,0.00004192327,0.000022718981,0.000041619838,0.00024167712,0.000002177405,0.00014486369],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691653,0.001970705,0.00015450589,0.00022600853,0.0006649139,0.00006737771],"domain_scores_gemma":[0.9920529,0.0040573045,0.0028197512,0.000448181,0.0003827457,0.00023913612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025061045,0.00027205472,0.00036185523,0.0010493266,0.00017941538,0.00052098185,0.0004686489,0.00029125923,0.0009528842],"category_scores_gemma":[0.010266014,0.00021566587,0.00035728965,0.00079577055,0.00054235966,0.000270975,0.0004308102,0.0003548304,0.00014342525],"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":[0.0004488193,0.00004123229,0.99256235,0.00007708785,0.00021582369,0.000055058317,0.00006119443,0.00012614302,0.0016513078,0.00009546888,0.00008548003,0.004580156],"study_design_scores_gemma":[0.000018890196,0.00034828205,0.9968539,0.000025449881,0.00014024814,0.0006791077,0.000039362065,0.00042064514,0.0009444878,0.00010414815,0.00042056953,0.000004978629],"about_ca_topic_score_codex":0.0015793781,"about_ca_topic_score_gemma":0.0015598269,"teacher_disagreement_score":0.0025061045,"about_ca_system_score_codex":0.00026943805,"about_ca_system_score_gemma":0.00022885903,"threshold_uncertainty_score":0.013253748},"labels":[],"label_agreement":null},{"id":"W2169615219","doi":"10.1016/j.maturitas.2009.07.009","title":"Hormone therapy, mammographic density, and breast cancer risk","year":2009,"lang":"en","type":"review","venue":"Maturitas","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Breast cancer; Tamoxifen; Oncology; Cancer; Internal medicine; Risk factors for breast cancer; Hormone; Menopause; Hormone replacement therapy (female-to-male); Gynecology","score_opus":0.01814005624397458,"score_gpt":0.29372028796118044,"score_spread":0.27558023171720586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169615219","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016718164,0.9994962,0.000013659164,0.00007141455,0.00003881875,0.0000012517337,0.00002142136,0.000001371407,0.0001885737],"genre_scores_gemma":[0.001401088,0.99820054,0.000044884328,0.000074636366,0.00011374556,0.0000023068615,0.000030167612,2.8245168e-7,0.00013234856],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997929,0.00003400352,0.00004400256,0.000044617052,0.00007310155,0.00001150431],"domain_scores_gemma":[0.9993819,0.00036410426,0.00015168037,0.00001040761,0.00006867111,0.000023307239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534284,0.0007310068,0.0019713382,0.0021023343,0.00020994814,0.00071752054,0.00085205137,0.0008501099,0.003479206],"category_scores_gemma":[0.0013989307,0.0003513748,0.0007405448,0.0037010817,0.00038264814,0.0006025485,0.0003502307,0.0009451642,0.00060988683],"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":[0.00030678563,0.00015362684,0.0067237183,0.053088944,0.0012264686,0.00042292933,0.000060184895,0.00045967996,0.0005727835,0.0008151978,0.025340594,0.91082907],"study_design_scores_gemma":[0.00027753736,0.00062934594,0.07917337,0.044288658,0.010449298,0.0084552625,0.0005165356,0.0007845749,0.0007922177,0.0030733992,0.85141873,0.00014104856],"about_ca_topic_score_codex":0.0040169684,"about_ca_topic_score_gemma":0.008208847,"teacher_disagreement_score":0.0040169684,"about_ca_system_score_codex":0.0003914258,"about_ca_system_score_gemma":0.000855057,"threshold_uncertainty_score":0.011639118},"labels":[],"label_agreement":null},{"id":"W2173845331","doi":"10.3978/j.issn.2223-4292.2015.10.09","title":"Comparison of dual energy subtraction chest radiography and traditional chest X-rays in the detection of pulmonary nodules.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Radiography; Medicine; Radiology; Dual energy; Subtraction; Diagnostic accuracy; Nuclear medicine; Soft tissue; Pathology","score_opus":0.03323207429387097,"score_gpt":0.232178011750062,"score_spread":0.19894593745619105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173845331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952127,0.0020176244,0.0020645554,0.00006968386,0.000028151335,0.00003291761,0.000025513533,0.000027358661,0.0005215893],"genre_scores_gemma":[0.99138755,0.0007331623,0.007310876,0.000045205423,0.000043520587,0.000019485991,0.00007576443,0.000008147129,0.0003762941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976343,0.0013120901,0.0001583902,0.0002594303,0.0005553565,0.00008036561],"domain_scores_gemma":[0.98771554,0.009172819,0.0011148928,0.00035861626,0.0010679541,0.00057016616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040745083,0.00049956125,0.00036086244,0.0011634822,0.00010015498,0.00034952874,0.00048063684,0.00069813285,0.0010531624],"category_scores_gemma":[0.016222067,0.00037057517,0.00029083443,0.00038783217,0.0003242222,0.0007111355,0.00050061615,0.00029920155,0.00025421238],"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":[0.04589821,0.0012817708,0.63228613,0.0004963355,0.0006636543,0.00053740054,0.00032005893,0.0024057545,0.027297849,0.00020348889,0.00050460524,0.28810474],"study_design_scores_gemma":[0.0015642054,0.03469287,0.9077411,0.00007484218,0.0006419936,0.0062866076,0.00025767038,0.02534672,0.021018792,0.00023622513,0.002066673,0.00007220032],"about_ca_topic_score_codex":0.00043397618,"about_ca_topic_score_gemma":0.0010051108,"teacher_disagreement_score":0.0040745083,"about_ca_system_score_codex":0.00036483657,"about_ca_system_score_gemma":0.00024107462,"threshold_uncertainty_score":0.02154833},"labels":[],"label_agreement":null},{"id":"W2185210402","doi":"10.1007/s00330-015-4118-0","title":"The Yield of Pre-operative Breast MRI in Patients According to Breast Tissue Density","year":2015,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Breast density; Breast MRI; Radiology; Breast cancer; Mammography; Neuroradiology; Breast tissue; Interventional radiology; Breast biopsy; Biopsy; Magnetic resonance imaging; Breast ultrasound; Breast surgery; Cancer; Internal medicine; Neurology","score_opus":0.013483028244131752,"score_gpt":0.2596059306956807,"score_spread":0.24612290245154897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185210402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854004,0.0003569181,0.00008369954,0.00007582044,0.000008106115,0.000002273955,0.00009159517,0.000003911284,0.0008377037],"genre_scores_gemma":[0.99962616,0.0000863207,0.000044281165,0.00001816824,0.000009172291,0.0000013998156,0.00010603047,0.0000015248246,0.0001070227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996588,0.000072850766,0.000053537064,0.000046766007,0.000057001267,0.00011108044],"domain_scores_gemma":[0.997482,0.0012227996,0.00057567057,0.00010767642,0.00020595678,0.000405973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004090579,0.00026090833,0.00028245331,0.00096659584,0.00022254363,0.0005942103,0.0002887157,0.000578488,0.0017653635],"category_scores_gemma":[0.005636625,0.00020771309,0.00045962917,0.00051701465,0.00033188908,0.0005623544,0.00049271627,0.00047372223,0.00037546418],"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":[0.00037036507,0.0000181842,0.99733114,0.000005474518,0.00001888018,0.00017745214,0.000045883236,0.00005551655,0.00038134068,0.00002143986,0.00003627493,0.0015381116],"study_design_scores_gemma":[0.0000036832892,0.0001464463,0.9977482,0.000005269918,0.000033914694,0.0010307619,0.00024280204,0.00030094117,0.00030852528,0.000063448795,0.000110350826,0.000005659521],"about_ca_topic_score_codex":0.0012218609,"about_ca_topic_score_gemma":0.001366304,"teacher_disagreement_score":0.0017653635,"about_ca_system_score_codex":0.00030650743,"about_ca_system_score_gemma":0.00025530977,"threshold_uncertainty_score":0.0059057474},"labels":[],"label_agreement":null},{"id":"W2192446798","doi":"10.1016/s0140-6736(15)00787-4","title":"Adjunctive ultrasonography in breast cancer screening","year":2015,"lang":"en","type":"letter","venue":"The Lancet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Mammography; Tomosynthesis; Breast cancer; Digital Breast Tomosynthesis; Digital mammography; Breast cancer screening; Medical physics; Radiology; Population; Gynecology; Cancer; Internal medicine","score_opus":0.036256068957628604,"score_gpt":0.28408352762080424,"score_spread":0.24782745866317563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192446798","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037357258,0.0027434356,0.00005184029,0.9825859,0.011113611,0.000007609031,0.000027495802,0.000010886044,0.0030856703],"genre_scores_gemma":[0.005866128,0.0026629607,0.00015633053,0.932937,0.053374268,0.00002216532,0.0000225051,0.000012538548,0.004946021],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970599,0.000986422,0.00033882525,0.00029538324,0.0008666418,0.0004527737],"domain_scores_gemma":[0.9895628,0.0060447445,0.00091190386,0.00027463248,0.0010315197,0.0021744112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027012827,0.0007268341,0.0011093387,0.000848122,0.003211799,0.0033103782,0.0017020928,0.066865765,0.008294469],"category_scores_gemma":[0.029365707,0.0009463739,0.0011316102,0.00078041287,0.0028969944,0.0030861967,0.0018071745,0.04022162,0.004084573],"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":[0.00015443769,0.00006131669,0.0021231063,0.00012881165,0.000029661453,0.004116681,0.00015559433,0.0001031379,0.00032967448,0.0040359525,0.9677433,0.021018198],"study_design_scores_gemma":[0.00047461223,0.00026992362,0.0045882324,0.0017648721,0.00011486881,0.006893894,0.00069054356,0.0010525109,0.00053117104,0.019667165,0.96384776,0.00010447849],"about_ca_topic_score_codex":0.009476023,"about_ca_topic_score_gemma":0.02271968,"teacher_disagreement_score":0.066865765,"about_ca_system_score_codex":0.0049292743,"about_ca_system_score_gemma":0.005221867,"threshold_uncertainty_score":0.035764575},"labels":[],"label_agreement":null},{"id":"W2206977300","doi":"10.1259/bjr.20150522","title":"Utility of relative and absolute measures of mammographic density<i>vs</i>clinical risk factors in evaluating breast cancer risk at time of screening mammography","year":2015,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Technical University of Nova Scotia; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Medicine; Breast cancer; Mammography; Logistic regression; Receiver operating characteristic; Breast density; Risk factor; Risk assessment; MAMMOGRAPHIC DENSITY; Cancer; Oncology; Internal medicine; Gynecology","score_opus":0.04838025276018027,"score_gpt":0.316838588092607,"score_spread":0.26845833533242675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206977300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824938,0.0027684162,0.011837022,0.00022899325,0.000054191638,0.000056348345,0.0006204696,0.00019635084,0.0017442841],"genre_scores_gemma":[0.99723417,0.00011137019,0.0022727188,0.000018462813,0.000029679588,0.000014563367,0.00021595233,0.000011057396,0.00009206807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922146,0.005015566,0.0005824737,0.0007033191,0.0012734036,0.00021063554],"domain_scores_gemma":[0.9545369,0.035259552,0.005206616,0.001554152,0.0026411728,0.0008015931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016552743,0.0008695224,0.00055920036,0.0030660653,0.00020560181,0.0012634763,0.0006640757,0.0007202499,0.0008462697],"category_scores_gemma":[0.05835354,0.00027735584,0.0011195223,0.0015802642,0.00061796024,0.0010705472,0.0008307564,0.0006683914,0.00028836358],"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":[0.00088535226,0.00004463132,0.9860139,0.0000566643,0.00039021368,0.000026801647,0.00005272594,0.001777656,0.00025814414,0.00009004561,0.00015361747,0.0102501735],"study_design_scores_gemma":[0.00007937117,0.001521999,0.938322,0.000074695614,0.0007238771,0.00087803317,0.00021397846,0.055209517,0.0016069137,0.00068665494,0.0006112439,0.000071704984],"about_ca_topic_score_codex":0.0021144766,"about_ca_topic_score_gemma":0.002095496,"teacher_disagreement_score":0.016552743,"about_ca_system_score_codex":0.0004019534,"about_ca_system_score_gemma":0.00041937976,"threshold_uncertainty_score":0.08754033},"labels":[],"label_agreement":null},{"id":"W2207530733","doi":"10.1016/j.canep.2015.11.015","title":"International Consortium on Mammographic Density: Methodology and population diversity captured across 22 countries","year":2015,"lang":"en","type":"article","venue":"Cancer Epidemiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Princess Margaret Cancer Centre; University of Toronto","funders":"National Cancer Institute; National Medical Research Council; Cancer Council Victoria; National Institutes of Health; Medical Research Council; Instituto de Seguriidad y Servicios Sociales de los Trabadores del Estado; Universiti Malaya; ZonMw; World Health Organization; European Commission; National Institute for Health and Care Research; Isfahan University of Medical Sciences; Breast Cancer Campaign; National Health and Medical Research Council; Cancer Research UK; Susan G. Komen for the Cure; Engineering and Physical Sciences Research Council; Israel Cancer Association; World Cancer Research Fund; National Breast Cancer Foundation; Ellison Medical Foundation","keywords":"Medicine; Confounding; Breast cancer; Epidemiology; Population; Demography; Mammography; Trait; Environmental health; Cancer; Internal medicine","score_opus":0.1756854688005326,"score_gpt":0.41426852959837857,"score_spread":0.23858306079784597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207530733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717067,0.0008256536,0.0020576788,0.00018209283,0.000029030429,0.00032279943,0.017208083,0.00004812916,0.00761968],"genre_scores_gemma":[0.9734438,0.00044095196,0.0025841296,0.00013064432,0.000017763705,0.0005110822,0.021364776,0.00003381136,0.0014730591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957426,0.0020544634,0.0004556774,0.0005993587,0.00065771857,0.0004901202],"domain_scores_gemma":[0.99154156,0.0013979841,0.0023959058,0.0012951866,0.0028533933,0.00051603006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046476154,0.0004585832,0.00039844395,0.0056024236,0.0007073716,0.0010990739,0.001006848,0.00042950988,0.0016018341],"category_scores_gemma":[0.010162705,0.0003955467,0.00057255744,0.0087407185,0.00035096638,0.0007071994,0.0022303807,0.00033279395,0.0004073426],"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":[0.000039329163,0.000027071324,0.9917384,0.00002935615,0.00010352886,0.000030997733,0.0004941038,0.00011085818,0.00012919342,0.00016868812,0.0015275716,0.005601053],"study_design_scores_gemma":[0.0000058775054,0.000021768341,0.9959591,0.000042628228,0.000052145333,0.00019671863,0.0011424095,0.00019788032,0.00018453835,0.000039379876,0.0021488979,0.000008762002],"about_ca_topic_score_codex":0.052759554,"about_ca_topic_score_gemma":0.0630713,"teacher_disagreement_score":0.052759554,"about_ca_system_score_codex":0.0010319548,"about_ca_system_score_gemma":0.0015864016,"threshold_uncertainty_score":0.10490495},"labels":[],"label_agreement":null},{"id":"W2226119970","doi":"10.1016/j.breast.2015.12.004","title":"Does breast composition influence late adverse effects in breast radiotherapy?","year":2016,"lang":"en","type":"article","venue":"The Breast","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"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":"Niilo Helanderin Säätiö; Institute of Cancer Research; Cancer Research UK; National Institute for Health and Care Research; Australian Government","keywords":"Medicine; Seroma; Breast cancer; Logistic regression; Radiation therapy; Univariate analysis; Odds ratio; Confounding; Adverse effect; Risk factor; Internal medicine; Oncology; Multivariate analysis; Cancer; Complication","score_opus":0.002745082565074225,"score_gpt":0.21535753989007378,"score_spread":0.21261245732499956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226119970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98348665,0.012031286,0.00040333287,0.00085563964,0.00011549323,0.000017444587,0.00019922659,0.000011728441,0.0028791437],"genre_scores_gemma":[0.99662244,0.0016721197,0.00021114011,0.00022857422,0.00010967279,0.0000042417905,0.00010678999,0.000012977365,0.0010320806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909484,0.0005041231,0.000075145246,0.000093672046,0.00012220729,0.00011000296],"domain_scores_gemma":[0.99604625,0.0015635707,0.0014651943,0.0002991393,0.00025861795,0.00036722442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013427915,0.0002852434,0.0005731054,0.00042745806,0.00030114473,0.0011138831,0.00037457058,0.00093235297,0.003379552],"category_scores_gemma":[0.007368929,0.0002459154,0.00091204,0.000688079,0.0003857568,0.0005830006,0.00030039603,0.00062738266,0.00056835456],"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":[0.0053269025,0.00028986757,0.96509695,0.00009514473,0.0007254276,0.00017298752,0.00011766971,0.00014359727,0.0021995183,0.00009066815,0.00015968746,0.02558154],"study_design_scores_gemma":[0.000021511267,0.00043411375,0.99786156,0.00001876561,0.0002563447,0.00020915124,0.000115104456,0.00011285122,0.00038261295,0.00009666339,0.0004853044,0.0000059414424],"about_ca_topic_score_codex":0.0037293578,"about_ca_topic_score_gemma":0.0044140783,"teacher_disagreement_score":0.0037293578,"about_ca_system_score_codex":0.00040780727,"about_ca_system_score_gemma":0.00058235775,"threshold_uncertainty_score":0.011305749},"labels":[],"label_agreement":null},{"id":"W2252250982","doi":"10.1148/radiol.2015152344","title":"Digital Compared with Screen-Film Mammography: Measures of Diagnostic Accuracy among Women Screened in the Ontario Breast Screening Program—Evidence that Direct Radiography Is Superior to Computed Radiography for Cancer Detection","year":2016,"lang":"en","type":"letter","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Radiography; Digital mammography; Computed radiography; Breast cancer screening; Radiology; Breast imaging; Breast cancer; Digital radiography; Diagnostic accuracy; Medical physics; Medical imaging; Nuclear medicine; Cancer; Internal medicine; Artificial intelligence; Image quality","score_opus":0.0325042687452876,"score_gpt":0.26532549780508324,"score_spread":0.23282122905979563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252250982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5535298,0.015286692,0.00026495112,0.39294022,0.0024403527,0.00012767458,0.0032775304,0.000061785104,0.032070983],"genre_scores_gemma":[0.9221866,0.004431227,0.0008740112,0.06146324,0.0024184685,0.0000673315,0.00071310636,0.000023969167,0.007822052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968886,0.0008903958,0.0004927762,0.00023877966,0.0011804786,0.00030905567],"domain_scores_gemma":[0.9802049,0.01081728,0.0024718826,0.0006746406,0.004567805,0.0012635838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038295174,0.00026513598,0.0005707826,0.0005947095,0.0012570424,0.0011855684,0.0012093938,0.004354565,0.0022334142],"category_scores_gemma":[0.03451914,0.00031798286,0.00058546546,0.0011515876,0.0012823921,0.0006154625,0.000457518,0.0023679335,0.00053430314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042532873,0.00017200343,0.8715831,0.00037985804,0.0002916828,0.0020918946,0.0016224713,0.00013473205,0.0013614439,0.00049053505,0.06521528,0.052403666],"study_design_scores_gemma":[0.000636384,0.0006398012,0.9569342,0.00044242124,0.00050864666,0.002044217,0.002469571,0.0009555137,0.00069952826,0.0006501103,0.033933442,0.00008598197],"about_ca_topic_score_codex":0.56437284,"about_ca_topic_score_gemma":0.78921604,"teacher_disagreement_score":0.43562716,"about_ca_system_score_codex":0.011364575,"about_ca_system_score_gemma":0.007238888,"threshold_uncertainty_score":0.87638533},"labels":[],"label_agreement":null},{"id":"W2255942777","doi":"10.1056/wh200702220000003","title":"Mammographic Density: Effects on Breast Cancer Detection and Risk","year":2007,"lang":"en","type":"article","venue":"Journal watch","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; MAMMOGRAPHIC DENSITY; Breast cancer; Mammography; Breast density; Breast tissue; Radiology; Stroma; Breast cancer screening; Cancer; Pathology; Internal medicine","score_opus":0.0040049663309906025,"score_gpt":0.24001819640096791,"score_spread":0.23601323006997732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255942777","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980471,0.01241864,0.000993287,0.0011972373,0.00006522654,0.000040976625,0.00044052655,0.00004939374,0.0043237307],"genre_scores_gemma":[0.99802446,0.00063092384,0.00036043068,0.00010417026,0.000053899992,0.0000087881135,0.000085585794,0.000009650124,0.00072208507],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99502397,0.003017397,0.00030272297,0.00057160284,0.00080280297,0.0002815651],"domain_scores_gemma":[0.97945476,0.014439546,0.0028718766,0.0011977226,0.0010335882,0.0010025752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005096611,0.0005262658,0.00050195167,0.0011606026,0.00047593954,0.0010516975,0.00076050137,0.00084438856,0.0029366813],"category_scores_gemma":[0.026070649,0.00046643597,0.0012392191,0.0011520084,0.0009901535,0.0005181911,0.00075201225,0.0008186455,0.00024397168],"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":[0.0014462414,0.000086574364,0.9886897,0.00004626017,0.0007211129,0.00017718883,0.0000717856,0.00014048185,0.000512488,0.00015874821,0.0001736565,0.007775826],"study_design_scores_gemma":[0.000025805548,0.0002817193,0.99745256,0.000015994905,0.0005581251,0.0004024785,0.000032150336,0.00035592675,0.00032970202,0.00013455383,0.00040470163,0.000006268189],"about_ca_topic_score_codex":0.014416707,"about_ca_topic_score_gemma":0.0126331365,"teacher_disagreement_score":0.014416707,"about_ca_system_score_codex":0.0007689987,"about_ca_system_score_gemma":0.00069134776,"threshold_uncertainty_score":0.028665543},"labels":[],"label_agreement":null},{"id":"W2265360620","doi":"10.1118/1.4941307","title":"Quantifying masking in clinical mammograms via local detectability of simulated lesions","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society Research Institute; Ontario Institute for Cancer Research","keywords":"Digital mammography; Mammography; Masking (illustration); Breast density; Correlation; Contrast (vision); Observer (physics); Metric (unit); Nuclear medicine; Medicine; Noise (video); Mathematics; Pattern recognition (psychology); Artificial intelligence; Computer science; Physics; Breast cancer; Image (mathematics)","score_opus":0.05017413133153213,"score_gpt":0.3536350099686578,"score_spread":0.3034608786371257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265360620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536846,0.0005207499,0.04460442,0.000025102849,0.0000059572653,0.00008871718,0.00010585741,0.0002153104,0.00074933434],"genre_scores_gemma":[0.9836705,0.0000755654,0.015928818,0.000012477659,0.0000056376643,0.000021901917,0.00013014996,0.00002409912,0.00013087309],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986669,0.0005270803,0.000120351724,0.0002659058,0.00037768084,0.000042105527],"domain_scores_gemma":[0.99119395,0.0058833356,0.0013836445,0.00073666393,0.0006621063,0.00014036354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026979514,0.0005106277,0.00034334598,0.0013244301,0.00015398394,0.0006605274,0.00031862318,0.000396081,0.0010547714],"category_scores_gemma":[0.017120274,0.00023894712,0.0004344147,0.0004338438,0.0004722776,0.00045195426,0.00090162246,0.00021825497,0.00023462634],"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":[0.009141308,0.00033019396,0.40366364,0.0011613094,0.0007331019,0.00071086537,0.0014240681,0.05643033,0.32719383,0.0006379145,0.0003530774,0.19822037],"study_design_scores_gemma":[0.00018211093,0.003534982,0.634149,0.000093470844,0.0005771258,0.004722267,0.00031087967,0.15870906,0.19456227,0.0014294187,0.0015954494,0.0001339898],"about_ca_topic_score_codex":0.0007947251,"about_ca_topic_score_gemma":0.0009191385,"teacher_disagreement_score":0.0026979514,"about_ca_system_score_codex":0.0004046136,"about_ca_system_score_gemma":0.00023778532,"threshold_uncertainty_score":0.014268279},"labels":[],"label_agreement":null},{"id":"W2276152109","doi":"10.1177/1357633x15595734","title":"Speed and accuracy of mobile BlackBerry Messenger to transmit chest radiography images from a small community emergency department to a geographically remote referral center","year":2015,"lang":"en","type":"article","venue":"Journal of Telemedicine and Telecare","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver General Hospital; St. Paul's Hospital; Kamloops Art Gallery; University of British Columbia","funders":"Jaeb Center for Health Research","keywords":"Medicine; Emergency department; Referral; Confidence interval; Medical emergency; Radiography; Emergency medicine; Radiology; Family medicine; Internal medicine","score_opus":0.028583692710989685,"score_gpt":0.29234978346043383,"score_spread":0.2637660907494441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276152109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873024,0.00023461822,0.00042759316,0.000046067653,0.000008078091,0.000026870663,0.00006162123,0.00001293066,0.00045199526],"genre_scores_gemma":[0.99913293,0.000081103906,0.0006109723,0.00001331825,0.000011108601,0.000011630972,0.00006391388,0.0000038372805,0.000071216615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958716,0.0019203029,0.00042388903,0.00054046285,0.0010215516,0.00022210143],"domain_scores_gemma":[0.9472351,0.037394408,0.009213329,0.0016963651,0.003837233,0.0006236161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005187638,0.000232933,0.00016525693,0.0009896806,0.00014615049,0.00088552263,0.00045452797,0.0005026277,0.0013586645],"category_scores_gemma":[0.06266695,0.0001930629,0.00026920388,0.0004919007,0.00027908557,0.00077138917,0.00045971677,0.00032326786,0.00035934433],"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":[0.0016394207,0.00012393456,0.9659531,0.00007495157,0.00007583449,0.000100200574,0.00042489712,0.00061813794,0.001232229,0.00003705481,0.00019946582,0.029520769],"study_design_scores_gemma":[0.00007200687,0.0026234405,0.98538196,0.000078105186,0.00015871703,0.0007921334,0.0006531857,0.0071454584,0.0025240586,0.000063543535,0.00048301372,0.000024265646],"about_ca_topic_score_codex":0.0015083769,"about_ca_topic_score_gemma":0.0016346438,"teacher_disagreement_score":0.005187638,"about_ca_system_score_codex":0.0003934002,"about_ca_system_score_gemma":0.00025755863,"threshold_uncertainty_score":0.027435243},"labels":[],"label_agreement":null},{"id":"W2285306173","doi":"10.1158/1055-9965.1751.13.11","title":"Risk Factors for Breast Cancer Associated with Mammographic Features in Singaporean Chinese Women","year":2004,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research; Women's College Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Breast cancer; Medicine; Mammography; Oncology; Obstetrics; Cancer; Gynecology; Internal medicine","score_opus":0.016762145331975,"score_gpt":0.31970819561531727,"score_spread":0.30294605028334226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285306173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993173,0.00014888431,0.000016024578,0.00005409544,0.0000028791462,0.000005603263,0.0001234717,0.0000016141862,0.00033017131],"genre_scores_gemma":[0.9996362,0.0000870005,0.000029184432,0.000018980423,0.0000057065927,0.000005473498,0.00011369731,5.861461e-7,0.000103241095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998547,0.000036979414,0.000017775366,0.000024735724,0.000038702125,0.00002702514],"domain_scores_gemma":[0.99943835,0.0000795634,0.0002283752,0.00002939702,0.00007156367,0.000152676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023356325,0.0001987303,0.00018353503,0.0006124113,0.00031247546,0.0002523676,0.00012179549,0.00021499267,0.0014831356],"category_scores_gemma":[0.0008467916,0.00015748777,0.00021981081,0.0008570734,0.00022922657,0.00014379648,0.00022080544,0.0002091009,0.000113063696],"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":[0.000023811395,0.000009580581,0.9991235,0.00000610334,0.000014396495,0.000080469996,0.00006000674,0.000009289538,0.00016914343,0.0000057696884,0.000034859277,0.00046303467],"study_design_scores_gemma":[0.0000013674694,0.000021488246,0.99967253,0.000002017228,0.000007880823,0.00012163337,0.00007092512,0.000031389976,0.000016919852,0.000006286479,0.000046421254,0.000001059737],"about_ca_topic_score_codex":0.015938893,"about_ca_topic_score_gemma":0.0170409,"teacher_disagreement_score":0.015938893,"about_ca_system_score_codex":0.00024427474,"about_ca_system_score_gemma":0.00036369739,"threshold_uncertainty_score":0.031692207},"labels":[],"label_agreement":null},{"id":"W2288818663","doi":"","title":"Impact of PACS in a Hospital","year":2012,"lang":"en","type":"article","venue":"Indian Journal of Medical Informatics/Indian journal of medical informatics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workload; Picture archiving and communication system; Modalities; Medicine; Health care; Work (physics); Medical emergency; Computer science; Medical physics; Radiology","score_opus":0.011998905488562006,"score_gpt":0.30150337716228715,"score_spread":0.2895044716737251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288818663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7454293,0.047065068,0.0008848329,0.048299413,0.001949089,0.00027333992,0.002970399,0.00015191548,0.1529766],"genre_scores_gemma":[0.97735107,0.014521533,0.0006868497,0.0028397015,0.0006013798,0.000050023424,0.00045430844,0.0000307616,0.0034643174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98928165,0.0046558175,0.0009106985,0.00049140357,0.003629762,0.001030652],"domain_scores_gemma":[0.97302395,0.011478523,0.0053412016,0.0006123656,0.0054832143,0.004060763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002790968,0.00019055372,0.00026369072,0.0012587472,0.0014208732,0.0041622715,0.0007162743,0.00061837916,0.019577766],"category_scores_gemma":[0.022263112,0.00016800722,0.00070164964,0.002262711,0.0008698862,0.0014666177,0.0022831461,0.0010202413,0.0012999437],"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":[0.0010316658,0.0007444426,0.5311235,0.008072533,0.0007198202,0.0068811183,0.010678444,0.0012806864,0.0025506679,0.005292347,0.052404173,0.37922055],"study_design_scores_gemma":[0.000076103934,0.0015155,0.8024148,0.004511753,0.00039347072,0.005198085,0.04398282,0.00032719085,0.0013126283,0.001416442,0.13872936,0.00012188404],"about_ca_topic_score_codex":0.00895517,"about_ca_topic_score_gemma":0.008062972,"teacher_disagreement_score":0.019577766,"about_ca_system_score_codex":0.003960069,"about_ca_system_score_gemma":0.0050077867,"threshold_uncertainty_score":0.06549418},"labels":[],"label_agreement":null},{"id":"W2295502165","doi":"10.1109/sami.2016.7422998","title":"The optimization of medical X-ray images","year":2016,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"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":"Ryerson University","keywords":"Computer science; Visualization; Contrast (vision); Usability; Process (computing); Modality (human–computer interaction); Image quality; Human eye; Artificial intelligence; Computer vision; Quality (philosophy); Image (mathematics); Human–computer interaction","score_opus":0.007117867242020581,"score_gpt":0.25595248625694567,"score_spread":0.2488346190149251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295502165","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02517739,0.0017838549,0.96629745,0.00027413128,0.00009133793,0.0000712185,0.00006872492,0.00041432062,0.0058214525],"genre_scores_gemma":[0.50231415,0.002896947,0.48411122,0.00013252767,0.00016565279,0.00013456037,0.00027737545,0.00045006513,0.009517481],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999433,0.00015121383,0.00003165128,0.00011904424,0.00022178037,0.000043345262],"domain_scores_gemma":[0.9995351,0.00020597407,0.00007017036,0.000037061138,0.00012815875,0.000023554707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005960529,0.0006746006,0.00059857866,0.0007164181,0.00021689679,0.0011044729,0.0005306124,0.000719232,0.002719151],"category_scores_gemma":[0.0022114548,0.00027331486,0.00051501574,0.0005707956,0.00040193292,0.0007726936,0.0006405196,0.0004577597,0.00064351014],"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":[0.00038565777,0.00012356033,0.002035945,0.0010186519,0.00010088664,0.00025320315,0.00023359338,0.42022812,0.087049015,0.02466728,0.0039571864,0.45994684],"study_design_scores_gemma":[0.000016427437,0.00026285482,0.0020135192,0.000051026364,0.00005027146,0.00033965727,0.00006754283,0.9472129,0.03242804,0.006606074,0.010920597,0.000031209438],"about_ca_topic_score_codex":0.0005835204,"about_ca_topic_score_gemma":0.00035796524,"teacher_disagreement_score":0.002719151,"about_ca_system_score_codex":0.00038761282,"about_ca_system_score_gemma":0.00037936828,"threshold_uncertainty_score":0.009096503},"labels":[],"label_agreement":null},{"id":"W2305865261","doi":"10.1117/12.2216733","title":"Quantitative comparison using generalized relative object detectability (G-ROD) metrics of an amorphous selenium detector with high resolution microangiographic fluoroscopes (MAF) and standard flat panel detectors (FPD)","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Detector; Flat panel detector; Resolution (logic); Flat panel; Selenium; Materials science; Image resolution; Optics; Physics; Computer science; Artificial intelligence; Metallurgy","score_opus":0.019438248605647766,"score_gpt":0.25251660649992336,"score_spread":0.23307835789427558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305865261","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7791558,0.00074958935,0.2150434,0.00009260241,0.000023753275,0.00013542853,0.00024784476,0.0007914319,0.0037601513],"genre_scores_gemma":[0.9357676,0.00011602347,0.06300045,0.000024588662,0.000004637651,0.000045472072,0.00017004908,0.00008042484,0.0007908481],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989987,0.00032883786,0.00011346681,0.00015022595,0.00034645494,0.000062332605],"domain_scores_gemma":[0.9947147,0.003199138,0.00058533024,0.00033690318,0.0010616685,0.00010231473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033833347,0.00038883951,0.00018563205,0.0012619308,0.0001462146,0.00088545604,0.0003852636,0.0006057385,0.0017063617],"category_scores_gemma":[0.007717643,0.00026861316,0.00029389633,0.000651924,0.00029331745,0.0011206943,0.00050984975,0.00020384208,0.0002076525],"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":[0.0028137965,0.00025433386,0.05591497,0.00077744893,0.00044354243,0.00054497237,0.00076031074,0.04947706,0.6883762,0.0073460643,0.0010076781,0.19228368],"study_design_scores_gemma":[0.00005860198,0.0020318155,0.13281879,0.000074591975,0.00025864548,0.0017665485,0.000427665,0.34994733,0.5059715,0.0018120197,0.0047314037,0.000101066245],"about_ca_topic_score_codex":0.0017020159,"about_ca_topic_score_gemma":0.0020989617,"teacher_disagreement_score":0.0033833347,"about_ca_system_score_codex":0.00064838346,"about_ca_system_score_gemma":0.00029169078,"threshold_uncertainty_score":0.017893016},"labels":[],"label_agreement":null},{"id":"W2315543853","doi":"10.1017/cjn.2016.40","title":"Neuroradiology Using Secure Mobile Device Review","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"","keywords":"Mobile device; Software portability; Image quality; Workstation; Computer science; Medical diagnosis; Medicine; Medical physics; Computer vision; Artificial intelligence; Radiology; Image (mathematics)","score_opus":0.04116818837485979,"score_gpt":0.3010986614766287,"score_spread":0.2599304731017689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315543853","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27696073,0.2907036,0.09963974,0.02475952,0.009603554,0.007825498,0.0089310985,0.0068052947,0.274771],"genre_scores_gemma":[0.74841785,0.102620006,0.094547965,0.0064727734,0.009210227,0.0031518687,0.0032345091,0.0010454819,0.031299446],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98190343,0.0072401213,0.004472978,0.0014423804,0.004552393,0.00038867333],"domain_scores_gemma":[0.88530385,0.03477829,0.028246533,0.013530177,0.03532117,0.0028200236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009954829,0.00063332333,0.0006769139,0.0070108892,0.00076848513,0.0028817467,0.0012791564,0.0008287651,0.018865233],"category_scores_gemma":[0.06292859,0.00042703707,0.000520709,0.0033067993,0.0010801377,0.0020308082,0.002254065,0.0005092662,0.009507488],"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":[0.0009367937,0.00010668133,0.047595415,0.012613015,0.00033753194,0.011410726,0.0026632182,0.00029671087,0.014248901,0.0019207887,0.10049165,0.80737853],"study_design_scores_gemma":[0.0002702432,0.0010297833,0.097019255,0.017794292,0.00068060943,0.082042,0.0034064795,0.0018435752,0.017743284,0.00532997,0.77255714,0.00028341857],"about_ca_topic_score_codex":0.001907931,"about_ca_topic_score_gemma":0.004134506,"teacher_disagreement_score":0.018865233,"about_ca_system_score_codex":0.0012251368,"about_ca_system_score_gemma":0.0043554828,"threshold_uncertainty_score":0.06311047},"labels":[],"label_agreement":null},{"id":"W2316437530","doi":"10.1056/jw200701170000001","title":"Mammographic Density and Breast Cancer","year":2007,"lang":"en","type":"article","venue":"Journal watch","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; MAMMOGRAPHIC DENSITY; Mammography; Breast density; Breast tissue; Cancer; Oncology; Internal medicine","score_opus":0.007042648745208563,"score_gpt":0.2655091595585151,"score_spread":0.25846651081330657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316437530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9384091,0.025107766,0.00039344834,0.004641949,0.000099300414,0.000025322051,0.00093909114,0.000024240944,0.03035975],"genre_scores_gemma":[0.9948206,0.0030540675,0.00016051001,0.00018017342,0.000062056824,0.000004060483,0.00025466163,0.0000027325605,0.0014611915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994553,0.00017328277,0.000023762468,0.000047257534,0.00021966938,0.000080789345],"domain_scores_gemma":[0.9978237,0.00062496564,0.00067013834,0.00009065017,0.00039135767,0.00039921163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005284013,0.00011339862,0.00016496726,0.00090779184,0.00035221744,0.00058122876,0.00030959054,0.00033479143,0.0034136646],"category_scores_gemma":[0.006458883,0.00012828814,0.0002083236,0.0012626775,0.00047318608,0.00025753945,0.00035273575,0.00044834532,0.00027372065],"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":[0.00010900637,0.000035947065,0.9846827,0.00004090484,0.000072325005,0.00008941676,0.0001253456,0.00012229096,0.00014116673,0.0008721662,0.0011319577,0.012576877],"study_design_scores_gemma":[0.0000031936727,0.000025425721,0.9966125,0.000032696003,0.000032441065,0.00034200313,0.00013980427,0.000115200506,0.000051951487,0.00037071054,0.002269415,0.000004620923],"about_ca_topic_score_codex":0.07578702,"about_ca_topic_score_gemma":0.06654781,"teacher_disagreement_score":0.07578702,"about_ca_system_score_codex":0.000917723,"about_ca_system_score_gemma":0.00075536926,"threshold_uncertainty_score":0.15069175},"labels":[],"label_agreement":null},{"id":"W2321445992","doi":"10.1158/1538-7445.am2011-3716","title":"Abstract 3716: The Mayo Mammography Health Study (MMHS): A prospective cohort study on mammographic breast density and breast cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Quartile; Prospective cohort study; Cohort; Breast imaging; Gynecology; Breast density; Cohort study; Internal medicine; Cancer; Confidence interval; Demography; Oncology; Obstetrics","score_opus":0.05998314873409074,"score_gpt":0.38135612912609756,"score_spread":0.32137298039200685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321445992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737033,0.00058179605,0.0006432136,0.00042917999,0.000048008613,0.00029862448,0.021983573,0.000061060586,0.0022512637],"genre_scores_gemma":[0.9821212,0.0003137313,0.0014614057,0.00021715248,0.000104975035,0.0005427961,0.012325139,0.000025938332,0.0028876055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994306,0.00020340545,0.000044643362,0.00011633312,0.0001411034,0.00006395543],"domain_scores_gemma":[0.9991924,0.000066093606,0.00029644583,0.00013022978,0.00013889474,0.00017593456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007389065,0.0005198308,0.00036849445,0.00059970724,0.00054913334,0.00045589745,0.0005447854,0.00041615122,0.0033330952],"category_scores_gemma":[0.0016388538,0.00040330965,0.00030450904,0.001465424,0.00015194579,0.00025805685,0.00047946125,0.00058409513,0.00074744975],"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":[0.00033221682,0.00012459175,0.99261075,0.00003137796,0.00014822034,0.00013029267,0.00008138948,0.00003665577,0.0007477356,0.000045521538,0.0034256352,0.0022856523],"study_design_scores_gemma":[0.000029574981,0.000056948695,0.9988549,0.0000058849337,0.000038524708,0.000091075555,0.000017583918,0.000055537985,0.00004065932,0.000009083125,0.00079841947,0.0000018768844],"about_ca_topic_score_codex":0.020616386,"about_ca_topic_score_gemma":0.026165562,"teacher_disagreement_score":0.020616386,"about_ca_system_score_codex":0.00036783863,"about_ca_system_score_gemma":0.00054722076,"threshold_uncertainty_score":0.040992737},"labels":[],"label_agreement":null},{"id":"W2329323026","doi":"10.1149/05401.0293ecst","title":"(Invited) Towards a Digital Radiology Roadmap","year":2013,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"National Institutes of Health","keywords":"Task (project management); Detector; Computer science; Headway; X-ray detector; Medical physics; Systems engineering; Computer hardware; Engineering; Medicine; Simulation; Telecommunications","score_opus":0.008686284482456645,"score_gpt":0.22406778624249404,"score_spread":0.2153815017600374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329323026","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011851311,0.048134785,0.007081765,0.42945033,0.3424866,0.00028377256,0.0006329344,0.000951715,0.16979297],"genre_scores_gemma":[0.010253614,0.035774067,0.007746037,0.13943043,0.10296288,0.00024471112,0.0008548428,0.00041468092,0.7023188],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839777,0.00019442945,0.00011166146,0.00020334704,0.0008162617,0.00027662027],"domain_scores_gemma":[0.99463874,0.000646575,0.00012357811,0.00015704596,0.0022401009,0.0021939878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003892465,0.0011686016,0.0005205356,0.0013729197,0.0017524117,0.0070227403,0.0012849431,0.009561327,0.14417161],"category_scores_gemma":[0.0052967723,0.00041926283,0.0007005075,0.00072057184,0.0015960056,0.0074563017,0.004073013,0.006359453,0.093257345],"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":[0.000033736203,0.0000327459,0.00010586415,0.00014961122,0.000003310791,0.00012611294,0.000042015665,0.00007926531,0.000401554,0.007392124,0.9412828,0.05035094],"study_design_scores_gemma":[0.000004322488,0.000014893518,0.00010124116,0.00006258462,0.0000019222127,0.00008614304,0.00006767335,0.00003629479,0.00006415591,0.0015586119,0.997997,0.000005063767],"about_ca_topic_score_codex":0.0015706426,"about_ca_topic_score_gemma":0.0032943333,"teacher_disagreement_score":0.14417161,"about_ca_system_score_codex":0.0016406992,"about_ca_system_score_gemma":0.0030071023,"threshold_uncertainty_score":0.48230207},"labels":[],"label_agreement":null},{"id":"W2329648102","doi":"10.1117/12.2217324","title":"Detective quantum efficiency: a standard test to ensure optimal detector performance and low patient exposures","year":2016,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Digital Radiography and Breast Imaging","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":"Robarts Clinical Trials","funders":"Canadian Institutes of Health Research","keywords":"Detector; Test (biology); Computer science; Quantum; Reliability engineering; Engineering; Physics; Quantum mechanics; Telecommunications","score_opus":0.005749580941962038,"score_gpt":0.20816999085144955,"score_spread":0.2024204099094875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329648102","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5022867,0.0071741007,0.45477408,0.0020104765,0.00041251947,0.0020430067,0.0018073817,0.0029045925,0.026587257],"genre_scores_gemma":[0.7886783,0.001260048,0.19944195,0.0017325018,0.00008653001,0.0014451311,0.0012398995,0.0006228349,0.0054927575],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.98444486,0.0041782716,0.0014405953,0.001797822,0.0076322546,0.00050606654],"domain_scores_gemma":[0.9766625,0.010364843,0.0029249268,0.0021448329,0.00750199,0.00040097703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01755543,0.00090985623,0.0011217041,0.0018829126,0.0011215433,0.0019308683,0.0017638064,0.002175253,0.003291044],"category_scores_gemma":[0.039734792,0.00054085045,0.00086019177,0.0015957557,0.0020651734,0.0016416305,0.0016987005,0.0010808469,0.0018092712],"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":[0.0031611864,0.0013114524,0.22566321,0.0023687058,0.0005418545,0.0006810308,0.0028114484,0.007463493,0.5767096,0.0071323584,0.009997477,0.16215824],"study_design_scores_gemma":[0.00013073579,0.006421404,0.13652396,0.00030215504,0.00038353333,0.0034526656,0.0010137769,0.018256426,0.79801893,0.0036418417,0.03163785,0.00021680981],"about_ca_topic_score_codex":0.001454441,"about_ca_topic_score_gemma":0.0012852217,"teacher_disagreement_score":0.01755543,"about_ca_system_score_codex":0.0011692507,"about_ca_system_score_gemma":0.0014658713,"threshold_uncertainty_score":0.092843115},"labels":[],"label_agreement":null},{"id":"W2331267155","doi":"10.7314/apjcp.2016.17.1.65","title":"Bioimpedence to Assess Breast Density as a Risk Factor for Breast Cancer in Adult Women and Adolescent Girls","year":2016,"lang":"en","type":"article","venue":"Asian Pacific Journal of Cancer Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Mammography; Demography; Breast density; Gynecology; Correlation; Internal medicine; Cancer; Mathematics","score_opus":0.012026894589381202,"score_gpt":0.3005785108615023,"score_spread":0.28855161627212106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331267155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99903345,0.00019742525,0.0002087186,0.000012307324,0.0000026486985,0.00002094423,0.00009660383,0.000004984307,0.00042295398],"genre_scores_gemma":[0.9985989,0.0001237604,0.0007474007,0.000013061765,0.0000040854666,0.000028299995,0.00013797269,0.0000020220068,0.00034458473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999686,0.00013911823,0.00002271452,0.00003485659,0.000092182716,0.000025101665],"domain_scores_gemma":[0.9993492,0.00020876067,0.00021181694,0.000032487547,0.00011517287,0.00008254452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065128313,0.00027529013,0.00016698602,0.00050105125,0.00014656091,0.00024186868,0.00023322123,0.0002002522,0.00081676064],"category_scores_gemma":[0.0016728481,0.00015400993,0.00017573082,0.00036247776,0.00013377951,0.00014389717,0.00023129265,0.00035815005,0.00016726888],"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":[0.000041147763,0.00003987486,0.9963229,0.0000068990453,0.000016647284,0.00002615783,0.00007357711,0.000021253027,0.0007276192,0.000006367031,0.000018967625,0.0026985956],"study_design_scores_gemma":[0.000002716739,0.00028769288,0.99893624,0.000002506972,0.0000109223865,0.00012132722,0.000086230604,0.00016470016,0.00028800638,0.0000041310636,0.00009414559,0.0000013090793],"about_ca_topic_score_codex":0.005413931,"about_ca_topic_score_gemma":0.007377455,"teacher_disagreement_score":0.005413931,"about_ca_system_score_codex":0.00013210974,"about_ca_system_score_gemma":0.00016091426,"threshold_uncertainty_score":0.010764837},"labels":[],"label_agreement":null},{"id":"W2355550873","doi":"","title":"The Research of DICOM Dataset and Realization of DICOM Image Processing Software","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"DICOM; Computer science; Software; Digital imaging; Image processing; Medical imaging; Digital image; Computer graphics (images); Database; Image (mathematics); Computer vision; Artificial intelligence; Operating system","score_opus":0.027146857035168104,"score_gpt":0.3582029987899587,"score_spread":0.3310561417547906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355550873","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009333214,0.004395969,0.964406,0.0015439575,0.00075255736,0.00088687986,0.0036415237,0.0017080993,0.013331819],"genre_scores_gemma":[0.034754798,0.0046411743,0.94500405,0.00039184807,0.0004964995,0.00091040443,0.009092609,0.0004690087,0.004239677],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964796,0.0008369895,0.00045943237,0.0006112256,0.0015033159,0.00010946042],"domain_scores_gemma":[0.99555475,0.0007232357,0.00025971374,0.0008683195,0.0024478966,0.00014611182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036230397,0.0006851109,0.0006238858,0.0060046376,0.0012096899,0.002292593,0.0013062386,0.0009553414,0.0036379546],"category_scores_gemma":[0.011477948,0.00052132783,0.00077613065,0.0057574646,0.0007626597,0.003228276,0.0011218409,0.0015942985,0.0024981757],"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":[0.00017923901,0.000097630174,0.0044840085,0.0012467112,0.00008827271,0.00043641625,0.0005831747,0.0056796432,0.032783132,0.10270835,0.060219243,0.79149425],"study_design_scores_gemma":[0.00008752922,0.0003753291,0.02001591,0.00073491264,0.0001506499,0.0038997838,0.0005359253,0.08682186,0.088835634,0.06802278,0.7301355,0.0003841726],"about_ca_topic_score_codex":0.0029192122,"about_ca_topic_score_gemma":0.002274365,"teacher_disagreement_score":0.0060046376,"about_ca_system_score_codex":0.0013200332,"about_ca_system_score_gemma":0.0028867235,"threshold_uncertainty_score":0.019160688},"labels":[],"label_agreement":null},{"id":"W2358570750","doi":"","title":"IHE-based Method for Regional Collaborative Imaging Referral","year":2012,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"CAE (Canada)","funders":"","keywords":"Interoperation; Referral; Process (computing); Service (business); Medical emergency; Medicine; Process management; Interoperability; Medical physics; Operations management; Computer science; Business; Nursing; Engineering; World Wide Web; Marketing","score_opus":0.03326247062194814,"score_gpt":0.35065886649923184,"score_spread":0.3173963958772837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358570750","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069634956,0.00012233178,0.98153806,0.00017560912,0.000119089105,0.0003309059,0.00015354385,0.002364913,0.00823209],"genre_scores_gemma":[0.14001317,0.000160869,0.8447077,0.00017098879,0.000114699695,0.00042065483,0.0005412427,0.00025377926,0.013616882],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982147,0.00036616492,0.00014276824,0.00039469436,0.0006827618,0.00019879639],"domain_scores_gemma":[0.99885046,0.00017510918,0.000055284985,0.0002800188,0.0005747438,0.00006432569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013563947,0.0007236583,0.00060654205,0.0022296198,0.0008494424,0.0014174458,0.0012374611,0.0010385187,0.01477906],"category_scores_gemma":[0.0029753253,0.0003443148,0.00093017466,0.0014194809,0.00042015608,0.0017057639,0.0019469536,0.000628361,0.005105914],"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":[0.00054994086,0.0003235818,0.005084453,0.00040942195,0.00012329262,0.0013169606,0.00086907786,0.021129318,0.06498159,0.029934362,0.022587046,0.85269094],"study_design_scores_gemma":[0.00031311726,0.00038855296,0.007105685,0.00010587818,0.0002694646,0.00395355,0.0011193139,0.7566882,0.08654668,0.027215512,0.11603503,0.00025912104],"about_ca_topic_score_codex":0.0022283474,"about_ca_topic_score_gemma":0.0022939632,"teacher_disagreement_score":0.01477906,"about_ca_system_score_codex":0.0006083423,"about_ca_system_score_gemma":0.0012613041,"threshold_uncertainty_score":0.04944086},"labels":[],"label_agreement":null},{"id":"W2359700688","doi":"","title":"PACS Viewer Based on Java Applet in B/S Architecture","year":2004,"lang":"en","type":"article","venue":"中国生物医学工程学报(英文版)","topic":"Digital Radiography and Breast Imaging","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":"L'Alliance Boviteq","funders":"","keywords":"Java applet; DICOM; Computer science; Java; Web browser; Architecture; Client–server model; The Internet; World Wide Web; Operating system; Server","score_opus":0.006489632984606613,"score_gpt":0.23669039906066247,"score_spread":0.23020076607605586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359700688","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03069146,0.0012901024,0.758239,0.00069878186,0.0005138313,0.00074791216,0.001579177,0.14271154,0.06352826],"genre_scores_gemma":[0.24614497,0.002686239,0.63365996,0.0012788567,0.000455491,0.0007616837,0.0052761245,0.014152711,0.09558403],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959296,0.000055107972,0.000039164108,0.000111051195,0.00015119807,0.00005052913],"domain_scores_gemma":[0.99935716,0.00016754189,0.000034909954,0.00010828506,0.00021881923,0.000113268004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047707785,0.0007428575,0.0005661543,0.000947526,0.00033709966,0.0013351241,0.0009526564,0.001088388,0.017977452],"category_scores_gemma":[0.001363182,0.00064066035,0.0004989844,0.0006189293,0.00027922078,0.0014947769,0.0007451693,0.0011984948,0.007553244],"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":[0.0018391223,0.0005671101,0.005463629,0.0012126694,0.0001296321,0.003013061,0.00090226816,0.0032009883,0.30854675,0.030682685,0.14950925,0.49493274],"study_design_scores_gemma":[0.0012181058,0.0008281294,0.016208703,0.00037198252,0.00033286266,0.009078493,0.00021896826,0.1209615,0.21311498,0.015785085,0.6214616,0.00041967377],"about_ca_topic_score_codex":0.001434581,"about_ca_topic_score_gemma":0.0011482468,"teacher_disagreement_score":0.017977452,"about_ca_system_score_codex":0.00026218934,"about_ca_system_score_gemma":0.0006487837,"threshold_uncertainty_score":0.06014055},"labels":[],"label_agreement":null},{"id":"W2375833844","doi":"","title":"Application of tomosynthesis Technology in Diagnosis of Breast Cancer","year":2012,"lang":"en","type":"article","venue":"China Medical Devices","topic":"Digital Radiography and Breast Imaging","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":"CAE (Canada)","funders":"","keywords":"Tomosynthesis; Breast cancer; Medicine; Radiology; Digital Breast Tomosynthesis; Mammography; Cancer; Nuclear medicine; Internal medicine","score_opus":0.006042337625080464,"score_gpt":0.27343995696782153,"score_spread":0.2673976193427411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375833844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674787,0.017493004,0.010132322,0.00022780249,0.000040817893,0.000043158285,0.000105819454,0.00009985533,0.0043785283],"genre_scores_gemma":[0.99266136,0.0024120759,0.0045507997,0.000040342442,0.000050114133,0.000008488628,0.000036493002,0.000003896668,0.00023660787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994154,0.00027237483,0.000037647584,0.00007484903,0.00015201971,0.000047711157],"domain_scores_gemma":[0.99939144,0.00031502426,0.00010542456,0.000035678597,0.000107098844,0.00004535759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009816614,0.00031311242,0.00015776837,0.0015810851,0.0001673603,0.00027559162,0.00019136633,0.00038052516,0.0011191549],"category_scores_gemma":[0.001889893,0.00016146126,0.00016185587,0.0004919368,0.00040488096,0.00027274946,0.00024295332,0.00013700042,0.00021531167],"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":[0.0012798213,0.00011533253,0.65411943,0.0005005048,0.00012593434,0.0032345145,0.0003329002,0.0010507592,0.1421779,0.00033066762,0.00050411845,0.19622824],"study_design_scores_gemma":[0.00007309853,0.0024047098,0.874523,0.00012674902,0.0004631196,0.039569255,0.000721222,0.0058753546,0.06655418,0.0007547613,0.008885661,0.00004898849],"about_ca_topic_score_codex":0.0004694224,"about_ca_topic_score_gemma":0.00057195727,"teacher_disagreement_score":0.0015810851,"about_ca_system_score_codex":0.00018640075,"about_ca_system_score_gemma":0.00018081021,"threshold_uncertainty_score":0.0051915646},"labels":[],"label_agreement":null},{"id":"W2398471040","doi":"10.1186/s13058-016-0715-3","title":"Case-control study of mammographic density and breast cancer risk using processed digital mammograms","year":2016,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute on Aging; National Cancer Institute; National Institutes of Health; Kaiser Permanente; Robert Wood Johnson Foundation; Wayne and Gladys Valley Foundation; Ellison Medical Foundation","keywords":"Medicine; Breast cancer; Digital mammography; Mammography; Family history; Logistic regression; Odds ratio; Breast cancer screening; Breast imaging; Body mass index; Radiology; Gynecology; Cancer; Oncology; Obstetrics; Internal medicine","score_opus":0.03588351296663512,"score_gpt":0.34310951784775984,"score_spread":0.3072260048811247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398471040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710065,0.00038349937,0.0015451688,0.000017725037,0.00001548775,0.00009882678,0.00039157228,0.000014128533,0.0004329332],"genre_scores_gemma":[0.998298,0.00007996152,0.00087710784,0.000015743812,0.000014384272,0.000085990476,0.00045027435,0.0000033942754,0.00017515793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971481,0.0010245657,0.000271147,0.0008903771,0.00054641097,0.00011936927],"domain_scores_gemma":[0.994501,0.0023441813,0.0011297271,0.0011133287,0.00065947894,0.00025232034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032408175,0.00041601775,0.00049185526,0.001081622,0.00061380904,0.00065398536,0.0008865606,0.0005702263,0.0013395306],"category_scores_gemma":[0.009780559,0.00057058025,0.00046675708,0.0011265283,0.0005199708,0.00027603286,0.000376073,0.00047079724,0.00018706915],"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":[0.0009567125,0.00022336139,0.994534,0.000035737787,0.00044876814,0.00026152894,0.00014230506,0.00010254913,0.0008996439,0.000099367106,0.00016307172,0.0021330242],"study_design_scores_gemma":[0.00022397391,0.0008396808,0.99485993,0.000015791804,0.00036255654,0.0011409136,0.000097391436,0.0009799945,0.00053022057,0.00010443136,0.00083356793,0.000011574031],"about_ca_topic_score_codex":0.0058225375,"about_ca_topic_score_gemma":0.0038409873,"teacher_disagreement_score":0.0058225375,"about_ca_system_score_codex":0.00040907363,"about_ca_system_score_gemma":0.00029231608,"threshold_uncertainty_score":0.017139316},"labels":[],"label_agreement":null},{"id":"W2400547547","doi":"","title":"Referring physicians' perceived benefits of PACS: a regional survey pre- and post-PACS implementation.","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast 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":true,"ca_institutions":"Newfoundland and Labrador Centre for Applied Health Research","funders":"","keywords":"Quality (philosophy); Medicine; Family medicine; Medical emergency","score_opus":0.05545289862923038,"score_gpt":0.2620896229386723,"score_spread":0.2066367243094419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400547547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868745,0.000099368815,0.000048870177,0.00027548827,0.0000029834036,0.00004351448,0.00027085587,0.000004686128,0.0005666391],"genre_scores_gemma":[0.9990176,0.00009851681,0.00022735329,0.0001779325,0.000007896365,0.00003579948,0.00015822775,0.000002657446,0.00027397196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970413,0.0013855904,0.00034349874,0.00018362436,0.0006366386,0.000409363],"domain_scores_gemma":[0.9820386,0.0051895087,0.007030424,0.00045910798,0.0027839711,0.0024983524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043068104,0.00016063891,0.000266438,0.000599525,0.00053355243,0.0006787262,0.00039847055,0.0006206734,0.0014667524],"category_scores_gemma":[0.016976172,0.0003308352,0.00037653412,0.00077033683,0.00042002587,0.00062360434,0.00064108206,0.0007621494,0.0003829618],"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":[0.00025490753,0.00043231458,0.9826149,0.00007272941,0.00006091124,0.00034285782,0.007051015,0.000117790914,0.00089499616,0.000015833888,0.0008827017,0.0072589684],"study_design_scores_gemma":[0.000010653645,0.0003947782,0.9947661,0.000007919639,0.000012425167,0.00009662847,0.004257447,0.00007796711,0.0000779776,0.00000215113,0.000288943,0.0000070178435],"about_ca_topic_score_codex":0.04459521,"about_ca_topic_score_gemma":0.08748031,"teacher_disagreement_score":0.04459521,"about_ca_system_score_codex":0.0016953844,"about_ca_system_score_gemma":0.0018472809,"threshold_uncertainty_score":0.08867127},"labels":[],"label_agreement":null},{"id":"W2405421020","doi":"","title":"Teleradiology system accessible through a common web browser.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast 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":"Resverlogix (Canada)","funders":"","keywords":"Teleradiology; DICOM; Computer science; The Internet; Software; Zoom; Interface (matter); Picture archiving and communication system; Visualization; World Wide Web; Medicine; Multimedia; Operating system; Artificial intelligence; Telemedicine","score_opus":0.023106535560368412,"score_gpt":0.24939315774724732,"score_spread":0.22628662218687892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405421020","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060168806,0.0064603924,0.72225714,0.00095636706,0.0011061919,0.0038078711,0.005541144,0.11547703,0.08422502],"genre_scores_gemma":[0.41454732,0.0039916444,0.4116566,0.003493469,0.0020802722,0.0039642476,0.016918698,0.00676256,0.1365852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987953,0.00027699233,0.00015530988,0.0003493504,0.00030963885,0.00011343797],"domain_scores_gemma":[0.99726284,0.0005139476,0.00018519133,0.0007918563,0.00073699956,0.0005091431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105276,0.00076693896,0.0009573204,0.0018252914,0.00042422427,0.0014180744,0.0013279996,0.0013518719,0.049935088],"category_scores_gemma":[0.0023541946,0.00040820186,0.0005325563,0.0009886962,0.00039058639,0.001989527,0.0022483778,0.00075497705,0.020841727],"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":[0.0018059794,0.00088035414,0.008227396,0.0013139399,0.0002387615,0.0023522894,0.00056278385,0.0007007051,0.06888609,0.0060520372,0.113258556,0.7957212],"study_design_scores_gemma":[0.0010287924,0.002064029,0.035820752,0.000947485,0.00063534564,0.030088134,0.00035767397,0.018695297,0.060862064,0.0068041026,0.8423271,0.00036917065],"about_ca_topic_score_codex":0.00046298516,"about_ca_topic_score_gemma":0.0004942375,"teacher_disagreement_score":0.049935088,"about_ca_system_score_codex":0.00035588077,"about_ca_system_score_gemma":0.0007130787,"threshold_uncertainty_score":0.16704953},"labels":[],"label_agreement":null},{"id":"W2417014567","doi":"10.3233/978-1-61499-054-3-111","title":"Desktop Cloud Visualization: the new technology to remote access 3D interactive applications in the Cloud","year":2012,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Digital Radiography and Breast Imaging","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":"Nickel Institute","funders":"","keywords":"Cloud computing; Visualization; Computer science; Point cloud; Interactive visualization; Computer graphics (images); Human–computer interaction; Multimedia; Operating system; Artificial intelligence","score_opus":0.0410571773033588,"score_gpt":0.4266599031504069,"score_spread":0.38560272584704813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417014567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015023767,0.006681641,0.9143855,0.0054976675,0.0013454546,0.00032470684,0.00059622625,0.017021712,0.03912337],"genre_scores_gemma":[0.29262358,0.014403843,0.6471479,0.002506404,0.0021181745,0.00054932904,0.0013706855,0.003136645,0.03614351],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892646,0.00021358483,0.000036377576,0.00013136124,0.0005187699,0.0001735593],"domain_scores_gemma":[0.9991565,0.00023254353,0.000053448963,0.00021642288,0.0001633096,0.00017779572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010110028,0.0006656446,0.00059748057,0.0007346783,0.00069937384,0.0030531643,0.002035955,0.0014306259,0.014643936],"category_scores_gemma":[0.001986023,0.00048760674,0.00070028985,0.001079213,0.0007428936,0.0032680114,0.0031670025,0.0016907164,0.0031447068],"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":[0.0009608028,0.00023539132,0.0023881139,0.0010170921,0.000112644666,0.0020976097,0.0011336517,0.0065998305,0.15351485,0.076782785,0.15159236,0.6035649],"study_design_scores_gemma":[0.00027626436,0.0005074177,0.0029170467,0.00038311578,0.000102552476,0.0067689386,0.00029092663,0.11147245,0.08979918,0.034322586,0.75286615,0.00029337007],"about_ca_topic_score_codex":0.0038935314,"about_ca_topic_score_gemma":0.00280189,"teacher_disagreement_score":0.014643936,"about_ca_system_score_codex":0.000616232,"about_ca_system_score_gemma":0.0009427156,"threshold_uncertainty_score":0.04898888},"labels":[],"label_agreement":null},{"id":"W2436121791","doi":"10.2196/medinform.5703","title":"Users’ Perspectives on a Picture Archiving and Communication System (PACS): An In-Depth Study in a Teaching Hospital in Kuwait","year":2016,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Picture archiving and communication system; Computer science; Multimedia; Medicine; Medical education; World Wide Web","score_opus":0.009788292427234616,"score_gpt":0.28884811244383074,"score_spread":0.2790598200165961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2436121791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999376,0.00006868511,0.00007405604,0.00018644998,0.0000027243086,0.000013040192,0.000014893659,0.0000019651745,0.0002620557],"genre_scores_gemma":[0.9988912,0.00022271369,0.00015420366,0.0002452055,0.0000069690573,0.000025512281,0.0000152821,0.0000035106311,0.00043550364],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9966785,0.0017168754,0.00021874385,0.00019975516,0.0004139631,0.0007722661],"domain_scores_gemma":[0.99112016,0.0046983757,0.0015414376,0.00015189992,0.0011983853,0.0012898152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037615057,0.00040125664,0.0004737902,0.0012052957,0.0035595652,0.0022114138,0.0006406597,0.0010072101,0.0019162127],"category_scores_gemma":[0.0067134243,0.0005269184,0.00033793642,0.0011311587,0.0019396123,0.0014987799,0.0017962225,0.0009018596,0.00030162316],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012475303,0.00024236002,0.15639015,0.00023261302,0.00001830568,0.002670918,0.82660186,0.00007338722,0.0037413244,0.00013370281,0.00043096064,0.009339691],"study_design_scores_gemma":[0.0000038149983,0.0003426121,0.08140445,0.00008834026,0.000015689282,0.0007445526,0.9145046,0.00019398573,0.000565794,0.000025802163,0.0020769509,0.000033372427],"about_ca_topic_score_codex":0.01571971,"about_ca_topic_score_gemma":0.022853954,"teacher_disagreement_score":0.01571971,"about_ca_system_score_codex":0.0031155474,"about_ca_system_score_gemma":0.002504665,"threshold_uncertainty_score":0.031256437},"labels":[],"label_agreement":null},{"id":"W2443123922","doi":"10.1111/tbj.12624","title":"Impact of Breast Density Legislation on Breast Cancer Risk Assessment and Supplemental Screening: A Survey of 110 Radiology Facilities","year":2016,"lang":"en","type":"article","venue":"The Breast Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Medicine; Breast density; Breast cancer; Risk assessment; Breast imaging; Mammography; Environmental health; Medical physics; Law; Cancer; Internal medicine; Political science; Computer security","score_opus":0.023176017177366157,"score_gpt":0.32009317273430804,"score_spread":0.29691715555694187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2443123922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987923,0.00006271508,0.000064904256,0.0002859357,0.000002780737,0.000013928903,0.00017143067,0.000005985972,0.00060010975],"genre_scores_gemma":[0.99928856,0.00008960374,0.00017275872,0.00016227168,0.0000046655355,0.00001719424,0.00012652493,0.0000018016254,0.00013663185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952337,0.0016219123,0.00048671616,0.00040460317,0.0015479982,0.00070508406],"domain_scores_gemma":[0.9766467,0.006400626,0.012047641,0.0007366383,0.0021422857,0.002025948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027519513,0.00011624654,0.00017599242,0.000896264,0.00051707996,0.000698455,0.0006309598,0.0004993617,0.0014017265],"category_scores_gemma":[0.015058413,0.00038612634,0.00023845963,0.001293719,0.000765165,0.00061178155,0.0011344046,0.0007399296,0.0002490121],"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":[0.00003776391,0.00011891755,0.99382293,0.000021105392,0.000012747186,0.000058944355,0.00094047276,0.000060210426,0.0003234013,0.000024909363,0.00039957816,0.004179067],"study_design_scores_gemma":[0.0000026274977,0.000147269,0.9973839,0.000020664724,0.0000050569024,0.00009042505,0.0016978435,0.000106363696,0.00009772757,0.0000059484605,0.00043658965,0.0000055270266],"about_ca_topic_score_codex":0.052967817,"about_ca_topic_score_gemma":0.08414925,"teacher_disagreement_score":0.052967817,"about_ca_system_score_codex":0.0022205927,"about_ca_system_score_gemma":0.00308794,"threshold_uncertainty_score":0.10531902},"labels":[],"label_agreement":null},{"id":"W2461640426","doi":"10.1016/s1470-2045(16)30155-3","title":"Reducing radiation doses for breast tomosynthesis?","year":2016,"lang":"en","type":"letter","venue":"The Lancet Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Tomosynthesis; Medicine; Mammography; Digital Breast Tomosynthesis; Digital mammography; Breast cancer; Breast imaging; Medical physics; Nuclear medicine; Radiology; Breast cancer screening; Cancer; Internal medicine","score_opus":0.03716022325636447,"score_gpt":0.31847475284541304,"score_spread":0.28131452958904857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461640426","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015459298,0.0033018386,0.00007613089,0.98901784,0.0055116755,0.0000032518788,0.000016302141,0.000011657115,0.0019066768],"genre_scores_gemma":[0.004075806,0.004082587,0.0004303179,0.9476743,0.039113797,0.000018325512,0.000027751357,0.000035452405,0.004541677],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99574983,0.0016104383,0.00050115987,0.00036361144,0.0013153922,0.00045960472],"domain_scores_gemma":[0.98339105,0.010287687,0.001415704,0.0005935749,0.0021323129,0.0021797318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057867994,0.00066165865,0.0011526424,0.0007206842,0.0017842182,0.0034265774,0.0017794153,0.049326,0.01770563],"category_scores_gemma":[0.046777923,0.00078803685,0.0015059493,0.0006384456,0.003075839,0.0046462873,0.0028624812,0.039081227,0.007989098],"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":[0.0002002117,0.00007760566,0.00092365645,0.00025610958,0.000049126727,0.0008433243,0.0001335273,0.00023989363,0.0005895159,0.008762965,0.92946523,0.058458798],"study_design_scores_gemma":[0.00019519315,0.00009333015,0.0008782783,0.0006031882,0.000050527302,0.001287751,0.00023195194,0.00022712137,0.0002845406,0.020687982,0.9754193,0.000040848856],"about_ca_topic_score_codex":0.0050435164,"about_ca_topic_score_gemma":0.013474701,"teacher_disagreement_score":0.049326,"about_ca_system_score_codex":0.0041739587,"about_ca_system_score_gemma":0.005919812,"threshold_uncertainty_score":0.05923122},"labels":[],"label_agreement":null},{"id":"W2464751567","doi":"10.1118/1.4957248","title":"MO-DE-209-02: Tomosynthesis Reconstruction Methods","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Tomosynthesis; Iterative reconstruction; Medical physics; Image quality; Mammography; Tomography; Tomographic reconstruction; Computer science; Artificial intelligence; Projection (relational algebra); Medical imaging; Radiography; Computer vision; Nuclear medicine; Radiology; Medicine; Image (mathematics); Breast cancer; Algorithm; Cancer","score_opus":0.01770398619274431,"score_gpt":0.31272690918172524,"score_spread":0.2950229229889809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464751567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020355026,0.004051568,0.89430904,0.0008280523,0.0005681923,0.00016072954,0.0012937905,0.0092716105,0.087481454],"genre_scores_gemma":[0.029823551,0.0056503513,0.7940729,0.0006128519,0.0006710595,0.00037740584,0.0044522593,0.00499604,0.15934348],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993242,0.00012033095,0.00003614524,0.0001418144,0.00033351075,0.000043967342],"domain_scores_gemma":[0.9993618,0.00018560677,0.000035005094,0.0001076013,0.00025921763,0.00005077624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010425413,0.0010046933,0.00055183814,0.0010366677,0.00044695294,0.0020360916,0.0015235702,0.0013994497,0.10183749],"category_scores_gemma":[0.0024913775,0.00055087276,0.00072062894,0.0011424724,0.0004689146,0.0017636426,0.0014483546,0.0016827398,0.07288662],"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":[0.00016743677,0.00008193795,0.00041147764,0.0005717266,0.000046858033,0.000121151665,0.00014887634,0.009544228,0.014898329,0.066874735,0.12179177,0.7853415],"study_design_scores_gemma":[0.00006449276,0.00010001779,0.00156267,0.00038436582,0.00002599265,0.0008200531,0.00009088122,0.0779572,0.020036966,0.044902973,0.8539831,0.000071239665],"about_ca_topic_score_codex":0.0010684299,"about_ca_topic_score_gemma":0.0013745695,"teacher_disagreement_score":0.10183749,"about_ca_system_score_codex":0.0006788827,"about_ca_system_score_gemma":0.0006249844,"threshold_uncertainty_score":0.3406803},"labels":[],"label_agreement":null},{"id":"W2470747862","doi":"10.1088/0031-9155/60/18/7179","title":"Mean glandular dose coefficients (<i>D</i><sub><i>g</i></sub><i>N</i>) for x-ray spectra used in contemporary breast imaging systems","year":2015,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Biomedical Imaging and Bioengineering","keywords":"Spectral line; Materials science; Anode; Analytical Chemistry (journal); Tungsten; Molybdenum; Physics; Chemistry; Electrode; Metallurgy","score_opus":0.13951295787817752,"score_gpt":0.34284528979266365,"score_spread":0.20333233191448613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470747862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.619054,0.005711497,0.32653657,0.00020735282,0.000066651904,0.00024704286,0.015131615,0.0051399986,0.027905256],"genre_scores_gemma":[0.8092187,0.0017970069,0.16965185,0.00016592118,0.000013118607,0.000281637,0.010221601,0.0010092717,0.0076409075],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997093,0.000034518325,0.000021720685,0.00005887982,0.00015661654,0.000019006975],"domain_scores_gemma":[0.99883145,0.0005605926,0.00012076458,0.00011314495,0.00035539595,0.000018689432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054548355,0.00033531943,0.0002567701,0.00085028936,0.00015184612,0.00045342662,0.00044176323,0.00027422188,0.0051549207],"category_scores_gemma":[0.0017026812,0.00022396746,0.0003453212,0.0009666414,0.00013357149,0.00034705718,0.00023462881,0.00030988583,0.0012264258],"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":[0.0013228293,0.0001359386,0.06592854,0.0019432151,0.0004631606,0.00034959996,0.0004675448,0.12549375,0.42605785,0.007344613,0.017207192,0.35328576],"study_design_scores_gemma":[0.000034401208,0.00046377233,0.118845135,0.00010122133,0.00022559453,0.0019681135,0.00018280844,0.08390364,0.7476154,0.0023931616,0.044108946,0.00015784403],"about_ca_topic_score_codex":0.0018901575,"about_ca_topic_score_gemma":0.005223326,"teacher_disagreement_score":0.0051549207,"about_ca_system_score_codex":0.0009255145,"about_ca_system_score_gemma":0.0004218907,"threshold_uncertainty_score":0.017244875},"labels":[],"label_agreement":null},{"id":"W2470849666","doi":"10.1118/1.4957865","title":"WE‐DE‐207B‐05: Measuring Spatial Resolution in Digital Breast Tomosynthesis: Update of AAPM Task Group 245","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Image resolution; Optical transfer function; Imaging phantom; Tomosynthesis; Optics; Image quality; Point spread function; Iterative reconstruction; Deconvolution; Detector; Physics; Computer science; Mammography; Artificial intelligence; Medicine","score_opus":0.010890743447517197,"score_gpt":0.2214292922693666,"score_spread":0.21053854882184941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470849666","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14310977,0.10534636,0.4646716,0.026200661,0.007973183,0.015493242,0.021690723,0.008194493,0.20731993],"genre_scores_gemma":[0.2618712,0.048332207,0.5400586,0.0086437715,0.0031630239,0.022588555,0.048947655,0.0036743297,0.0627207],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97734183,0.0071523483,0.0028049336,0.0010638847,0.010809648,0.0008273607],"domain_scores_gemma":[0.9315213,0.008202161,0.0072417017,0.0050220443,0.045813147,0.0021996775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048006143,0.0017371749,0.0011416766,0.005128709,0.0015270596,0.003688342,0.004456132,0.0032961548,0.002421378],"category_scores_gemma":[0.026289238,0.00096755504,0.0010910009,0.0031457623,0.0013971606,0.0015112594,0.0025478483,0.0019532132,0.006625557],"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":[0.0014334953,0.0013879002,0.042510364,0.0042477883,0.00026296228,0.0005857139,0.001125701,0.00683643,0.04313407,0.0064196666,0.19454004,0.69751585],"study_design_scores_gemma":[0.000265133,0.0017535826,0.10437453,0.0030346282,0.00030911816,0.0026311353,0.00045546194,0.0073937797,0.07266776,0.0032652705,0.8036263,0.00022327207],"about_ca_topic_score_codex":0.008762887,"about_ca_topic_score_gemma":0.0077326773,"teacher_disagreement_score":0.048006143,"about_ca_system_score_codex":0.002050119,"about_ca_system_score_gemma":0.008130686,"threshold_uncertainty_score":0.25388378},"labels":[],"label_agreement":null},{"id":"W2470909657","doi":"","title":"Comparison of image quality indicators among mammography facilities in Ontario.","year":2001,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Accreditation; Mammography; Medicine; Imaging phantom; Nuclear medicine; Limiting; Mean value; Medical physics; Statistics; Mathematics; Breast cancer; Medical education","score_opus":0.03736666425977816,"score_gpt":0.28814592156642616,"score_spread":0.250779257306648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470909657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966294,0.0003738677,0.00030308825,0.00023809097,0.000006238563,0.000036140915,0.00074117136,0.000027072812,0.0016447512],"genre_scores_gemma":[0.99868125,0.00012056438,0.00032619818,0.00004176133,0.0000034273219,0.000012546657,0.00039030478,0.000005630628,0.00041831363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984693,0.00015030579,0.00008705597,0.00016286889,0.00076859415,0.00036195017],"domain_scores_gemma":[0.99371874,0.0006814117,0.0021712016,0.00015416207,0.0022670722,0.0010074531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007413794,0.00019412392,0.00015118674,0.0010653356,0.000846995,0.00071610033,0.00061612396,0.000281696,0.0017517338],"category_scores_gemma":[0.0056862794,0.00033137342,0.00022035513,0.001918202,0.0007495168,0.00027744047,0.0007826803,0.00017669256,0.00020419029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015678855,0.000018220473,0.9846628,0.00009170968,0.000031593256,0.00016263443,0.0014034432,0.00012670223,0.0017393344,0.000042495252,0.0006726683,0.010891621],"study_design_scores_gemma":[0.0000038627663,0.000043245942,0.9985008,0.0000101778205,0.0000081052785,0.000076086624,0.0005509592,0.00008780907,0.000120882774,0.0000045937813,0.00058987044,0.0000034785644],"about_ca_topic_score_codex":0.7827405,"about_ca_topic_score_gemma":0.8683643,"teacher_disagreement_score":0.21725953,"about_ca_system_score_codex":0.010737274,"about_ca_system_score_gemma":0.009225792,"threshold_uncertainty_score":0.437078},"labels":[],"label_agreement":null},{"id":"W2471409458","doi":"10.1118/1.4957159","title":"MO‐AB‐BRA‐07: Low Dose Imaging with Avalanche Amorphous Selenium Flat Panel Imager","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Analogic (Canada)","funders":"","keywords":"Detective quantum efficiency; Detector; Materials science; Optics; Optoelectronics; Image sensor; Scintillator; Dark current; Avalanche photodiode; Noise (video); Active matrix; X-ray detector; Physics; Thin-film transistor; Image quality; Layer (electronics); Nanotechnology","score_opus":0.009890094663669153,"score_gpt":0.22858267027085066,"score_spread":0.2186925756071815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471409458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7900659,0.003420676,0.18534903,0.0004676449,0.000086458924,0.0001953247,0.0012801305,0.006113638,0.013021177],"genre_scores_gemma":[0.81723654,0.00081626314,0.168753,0.00017202902,0.00003756074,0.00008557934,0.00094976585,0.0002218519,0.011727389],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975735,0.000029565394,0.0000073112933,0.00006340926,0.00010924356,0.000033138174],"domain_scores_gemma":[0.9998603,0.000034192737,0.000024382925,0.000019218067,0.00003893108,0.000022863496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032141173,0.0004219971,0.0002534839,0.0004558064,0.00014892522,0.00048764813,0.0009277871,0.0006536415,0.002930101],"category_scores_gemma":[0.00021312314,0.0002660722,0.00020992971,0.000257269,0.0002665043,0.00032845305,0.00022365186,0.00049518724,0.0013444121],"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":[0.00014382486,0.000028188679,0.00068243156,0.00005890032,0.000014726934,0.00018308217,0.000013710696,0.0001932542,0.9865991,0.0002113633,0.00065607147,0.011215383],"study_design_scores_gemma":[0.000018330664,0.00022010092,0.00587938,0.000007032396,0.000016104806,0.001660917,0.000009251159,0.00695882,0.97988373,0.00005174779,0.0052772583,0.000017299797],"about_ca_topic_score_codex":0.0006922843,"about_ca_topic_score_gemma":0.0010116907,"teacher_disagreement_score":0.002930101,"about_ca_system_score_codex":0.00026840146,"about_ca_system_score_gemma":0.00016062635,"threshold_uncertainty_score":0.009802163},"labels":[],"label_agreement":null},{"id":"W2479903757","doi":"10.1118/1.4959539","title":"Technical Note: Robust measurement of the slice-sensitivity profile in breast tomosynthesis","year":2016,"lang":"en","type":"article","venue":"Medical Physics","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":"University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society","keywords":"Tomosynthesis; Full width at half maximum; Repeatability; Imaging phantom; Cartesian coordinate system; Mammography; Nuclear medicine; Robustness (evolution); Optics; Materials science; Mathematics; Physics; Breast cancer; Medicine; Statistics; Geometry","score_opus":0.018399130299478542,"score_gpt":0.23921350180694154,"score_spread":0.220814371507463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479903757","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.105127536,0.0014999021,0.88817513,0.0006136027,0.00029844535,0.0001683378,0.00039847623,0.0025966514,0.0011218571],"genre_scores_gemma":[0.4470365,0.0005121119,0.5494314,0.00042275043,0.00018828084,0.0002006911,0.00049146893,0.0008165562,0.00090022036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99187636,0.0023601044,0.00065049634,0.0011451946,0.0038337088,0.000134143],"domain_scores_gemma":[0.9780562,0.008492318,0.0025119057,0.0056574997,0.0050253165,0.00025681962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011351259,0.000779349,0.00050591835,0.0008263379,0.00041369454,0.0012776484,0.0014222838,0.0010441387,0.0010221823],"category_scores_gemma":[0.047220845,0.0005781733,0.0004375327,0.00079526636,0.00084951316,0.00091672415,0.0014128031,0.0009690546,0.0008503651],"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":[0.0012755799,0.00012158482,0.04677557,0.00084284873,0.00034313402,0.0005671239,0.00065181684,0.011525007,0.6902675,0.001430109,0.0030136833,0.24318597],"study_design_scores_gemma":[0.00006476982,0.0012475373,0.106422655,0.00013019661,0.00045260452,0.009168272,0.00017699966,0.052285675,0.81668365,0.0015348248,0.011668702,0.00016407618],"about_ca_topic_score_codex":0.0010786611,"about_ca_topic_score_gemma":0.0019118038,"teacher_disagreement_score":0.011351259,"about_ca_system_score_codex":0.00047936692,"about_ca_system_score_gemma":0.0009922151,"threshold_uncertainty_score":0.06003189},"labels":[],"label_agreement":null},{"id":"W2485549425","doi":"10.1007/978-3-319-41546-8_29","title":"Local Detectability Maps as a Tool for Predicting Masking Probability and Mammographic Performance","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Computer science; Histogram; Artificial intelligence; MAMMOGRAPHIC DENSITY; Masking (illustration); Pattern recognition (psychology); Data set; Breast density; Noise (video); Breast cancer; Medicine; Cancer; Image (mathematics)","score_opus":0.010602220801187064,"score_gpt":0.22794242541587773,"score_spread":0.21734020461469067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485549425","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46467942,0.0029987176,0.5191915,0.00021016707,0.00007346785,0.000094250056,0.0017287238,0.0029849077,0.008038867],"genre_scores_gemma":[0.92185056,0.0006638791,0.073940806,0.000035551515,0.00006423369,0.000047730286,0.00074277085,0.00018102273,0.0024733164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980825,0.000041204737,0.000009913083,0.00004381568,0.00008077103,0.00001609517],"domain_scores_gemma":[0.9961642,0.0030806588,0.00028175148,0.0001538958,0.00025206569,0.00006739727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074873865,0.0006944441,0.00047156576,0.0015165118,0.00014052098,0.00092856487,0.00046617416,0.0006642324,0.003433511],"category_scores_gemma":[0.005466163,0.00028611007,0.00035912995,0.0008284473,0.00023543372,0.0009966799,0.00040587178,0.0004629241,0.0011946486],"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":[0.0019416295,0.00028939286,0.08992656,0.00038169307,0.0003129086,0.00053590455,0.00019938526,0.07316937,0.1297558,0.0028854352,0.0037599523,0.6968419],"study_design_scores_gemma":[0.000041418705,0.0007220614,0.14115055,0.000072232,0.0004032252,0.0018576045,0.00014998252,0.75195986,0.08732218,0.013699547,0.0025005385,0.00012083312],"about_ca_topic_score_codex":0.0009404653,"about_ca_topic_score_gemma":0.0010030536,"teacher_disagreement_score":0.003433511,"about_ca_system_score_codex":0.00025783305,"about_ca_system_score_gemma":0.00014636511,"threshold_uncertainty_score":0.011486292},"labels":[],"label_agreement":null},{"id":"W2493614646","doi":"10.1016/b978-0-444-53632-7.00620-1","title":"Amorphous Silicon Detectors","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thunder Bay Regional Research Institute","funders":"","keywords":"Detector; Amorphous silicon; Active matrix; Ghosting; Flat panel detector; Flat panel; Silicon; Materials science; Optoelectronics; Transistor; Optics; Thin-film transistor; Nanotechnology; Engineering; Computer science; Engineering physics; Electrical engineering; Physics; Crystalline silicon","score_opus":0.010153076738448662,"score_gpt":0.22301022084856909,"score_spread":0.2128571441101204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493614646","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023036161,0.021395834,0.051813614,0.0010398636,0.0015017109,0.00006184561,0.00044370833,0.0016899994,0.91975],"genre_scores_gemma":[0.008165779,0.0077058333,0.012694156,0.0003509424,0.0001630216,0.000022025111,0.00045918487,0.00021962408,0.9702195],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997713,0.00001340027,0.00000602489,0.000058034457,0.00013566407,0.00001551338],"domain_scores_gemma":[0.9998877,0.000033571407,0.0000067046826,0.000023120801,0.000039249473,0.000009666148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022302623,0.0009434359,0.00049698225,0.0013647297,0.0006188517,0.0018692139,0.0010157591,0.0012556656,0.101674214],"category_scores_gemma":[0.00031704266,0.00056168507,0.00041491174,0.0017185002,0.0005802734,0.0013729465,0.0011277115,0.0013971865,0.05252972],"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":[0.00005936112,0.00005187567,0.0001867224,0.0005033389,0.000018290677,0.00025840264,0.00020464386,0.0009021611,0.03888952,0.105595164,0.19416006,0.6591704],"study_design_scores_gemma":[0.0000063099023,0.000024527846,0.00023660714,0.0001039668,0.000009566929,0.00056838297,0.000043016975,0.0006763066,0.009151775,0.011258718,0.9779082,0.000012546262],"about_ca_topic_score_codex":0.0007163205,"about_ca_topic_score_gemma":0.0017842368,"teacher_disagreement_score":0.101674214,"about_ca_system_score_codex":0.0005831756,"about_ca_system_score_gemma":0.00061010657,"threshold_uncertainty_score":0.34013414},"labels":[],"label_agreement":null},{"id":"W2502840873","doi":"10.1016/j.carj.2016.02.001","title":"Detection Rate, Recall Rate, and Positive Predictive Value of Digital Compared to Screen-Film Mammography in the Quebec Population-Based Breast Cancer Screening Program","year":2016,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Confidence interval; Mammography; Odds ratio; Recall rate; Recall; Digital mammography; Logistic regression; Confounding; Population; Breast cancer screening; Demography; Breast cancer; Cancer; Internal medicine; Environmental health; Artificial intelligence","score_opus":0.008505773815529971,"score_gpt":0.2477370952378739,"score_spread":0.23923132142234393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2502840873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971615,0.0009860855,0.0001498439,0.00024654123,0.000009145245,0.000025041283,0.0006209749,0.000014708859,0.00078612723],"genre_scores_gemma":[0.99928445,0.0001389286,0.000093951094,0.000044296557,0.0000046917608,0.000005685337,0.00029472198,0.0000015781785,0.0001317774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837434,0.0005397649,0.00008635644,0.00026811144,0.000577881,0.00015340417],"domain_scores_gemma":[0.99347466,0.0022344233,0.0021304982,0.0002678585,0.0014142282,0.00047841558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024215402,0.00029084744,0.00026204737,0.00078864413,0.00033868806,0.00068147795,0.00073253934,0.00044692415,0.00090906164],"category_scores_gemma":[0.014121306,0.00016778691,0.000369522,0.0009157821,0.00030853774,0.00027712667,0.00032487258,0.0005484411,0.00009879456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000791766,0.000025851843,0.9972561,0.000013282143,0.00005064432,0.000013728828,0.00004387903,0.000056617297,0.00004502763,0.000007302578,0.00017215103,0.0022363095],"study_design_scores_gemma":[0.0000060523116,0.000059063423,0.9990551,0.000011662875,0.00003815251,0.000035614823,0.000058656733,0.0005745226,0.000036907826,0.0000041399603,0.00011697591,0.0000031017457],"about_ca_topic_score_codex":0.7295435,"about_ca_topic_score_gemma":0.6696164,"teacher_disagreement_score":0.2704565,"about_ca_system_score_codex":0.0038329733,"about_ca_system_score_gemma":0.0022537154,"threshold_uncertainty_score":0.5440985},"labels":[],"label_agreement":null},{"id":"W2522017078","doi":"10.1016/j.jacr.2016.07.003","title":"What Do Women Know About Breast Density? Results From a Population Survey of Virginia Women","year":2016,"lang":"en","type":"article","venue":"Journal of the American College of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Congressionally Directed Medical Research Programs","keywords":"Breast density; Breast cancer; Medicine; Mammography; Gynecology; Population; MAMMOGRAPHIC DENSITY; Demography; BI-RADS; Risk factor; Obstetrics; Cancer; Internal medicine; Environmental health","score_opus":0.007161979100814219,"score_gpt":0.2441676546479979,"score_spread":0.23700567554718366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522017078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99703985,0.00025060363,0.00003324776,0.00023642312,0.000010863883,0.000012738152,0.0013546736,0.0000025068705,0.0010591107],"genre_scores_gemma":[0.9979272,0.00033827662,0.00005466322,0.00024002026,0.000011941008,0.000021344697,0.00089641864,0.0000023233893,0.00050788454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945194,0.0001850997,0.000049895083,0.00009615392,0.0001054937,0.000111446934],"domain_scores_gemma":[0.9986565,0.00031991213,0.00041082155,0.00005842792,0.0003013493,0.00025303225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004970133,0.00019965791,0.00033570072,0.0009971643,0.0006195528,0.0008739392,0.00038727967,0.00068027613,0.00088039396],"category_scores_gemma":[0.0025392433,0.0003367391,0.0004611432,0.0017751583,0.00026414945,0.00052735326,0.00047990712,0.00048746294,0.00031386712],"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":[0.00003115143,0.00005145445,0.9978257,0.0000097910315,0.000055238117,0.000023959301,0.00042384778,0.000010603199,0.000066173496,0.000009387779,0.00032040168,0.0011722242],"study_design_scores_gemma":[0.000003511775,0.000043944376,0.99771404,0.000010185098,0.000028630377,0.000040552815,0.0016823872,0.000031420666,0.000016464108,0.000010829476,0.00041502962,0.0000029978164],"about_ca_topic_score_codex":0.11904965,"about_ca_topic_score_gemma":0.17503963,"teacher_disagreement_score":0.11904965,"about_ca_system_score_codex":0.0006673453,"about_ca_system_score_gemma":0.0006509474,"threshold_uncertainty_score":0.23671347},"labels":[],"label_agreement":null},{"id":"W2528031773","doi":"10.1371/journal.pone.0163865","title":"Associations of Serum Levels of Sex Hormones in Follicular and Luteal Phases of the Menstrual Cycle with Breast Tissue Characteristics in Young Women","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital","funders":"National Cancer Institute","keywords":"Luteal phase; Menstrual cycle; Follicular phase; Hormone; Menstruation; Physiology; Medicine; Endocrinology; Internal medicine; Biology; Andrology","score_opus":0.017143054338445603,"score_gpt":0.2249022680411822,"score_spread":0.20775921370273662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528031773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995666,0.00021442932,0.000024431642,0.000008156997,0.0000021878036,0.0000028832885,0.000096603406,0.0000010592338,0.000083664054],"genre_scores_gemma":[0.9996294,0.00008641043,0.000046432087,0.00001130013,0.000004215163,0.000004191597,0.0001316323,7.880472e-7,0.00008572719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998753,0.00002877197,0.0000145592485,0.000028147473,0.000023750203,0.000029449166],"domain_scores_gemma":[0.9993425,0.00013911419,0.0002892382,0.00003071764,0.000056991656,0.00014146524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003077915,0.00017807542,0.00021037074,0.00055120315,0.00019573868,0.00027584922,0.0001401038,0.00023529123,0.00070078124],"category_scores_gemma":[0.0011803668,0.00019501887,0.00017892114,0.0005109417,0.00019587947,0.00015514367,0.00017170412,0.00017497275,0.00011101695],"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":[0.00007293214,0.000008709854,0.9990982,0.0000036346357,0.000015112475,0.00003287522,0.000034245517,0.00000621429,0.0002485452,0.0000028762538,0.0000148368745,0.00046173442],"study_design_scores_gemma":[0.000001895101,0.000039056453,0.9997681,0.0000010197928,0.0000068325444,0.00006996244,0.00003589087,0.0000141696255,0.000028625096,0.000003217625,0.00003085294,4.8434816e-7],"about_ca_topic_score_codex":0.0037926137,"about_ca_topic_score_gemma":0.006223229,"teacher_disagreement_score":0.0037926137,"about_ca_system_score_codex":0.00014919884,"about_ca_system_score_gemma":0.00015042964,"threshold_uncertainty_score":0.0075410604},"labels":[],"label_agreement":null},{"id":"W2528149504","doi":"10.1093/ije/dyw212","title":"Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk","year":2016,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children","funders":"National Cancer Institute; Cancer Australia; Cancer Council Victoria; Cancer Council NSW; National Health and Medical Research Council; Medical Research Council; United States Agency for International Development; National Institutes of Health; Australian Agency for International Development; National Breast Cancer Foundation; University of Melbourne; Canadian Breast Cancer Research Alliance","keywords":"Medicine; Breast cancer; Confidence interval; Receiver operating characteristic; Body mass index; Odds ratio; Logistic regression; Statistics; Cancer; Gynecology; Demography; Internal medicine; Mathematics","score_opus":0.019051395290709656,"score_gpt":0.30240781415570883,"score_spread":0.2833564188649992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528149504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933016,0.00012148554,0.00016187054,0.00003086058,0.0000025218835,0.0000039115203,0.00004164945,0.000006168991,0.0003014738],"genre_scores_gemma":[0.9996644,0.000032262495,0.00018149843,0.000008286428,0.0000042868487,0.0000022162067,0.00004582483,0.0000014319131,0.00005973459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996216,0.0001202659,0.0000389548,0.00008347913,0.000085725704,0.000049953218],"domain_scores_gemma":[0.99746144,0.0006845387,0.0012282218,0.0001577377,0.0002151582,0.00025299133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077482336,0.00024688072,0.00023189283,0.00081909884,0.00020544426,0.0005692092,0.0003016726,0.0003692503,0.0013233564],"category_scores_gemma":[0.0042829663,0.00021263458,0.00026636638,0.00060168334,0.00051616895,0.00027075628,0.0004541317,0.00040450617,0.00015326895],"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":[0.00007858221,0.000015525551,0.99762946,0.000008864703,0.000030094365,0.000025793393,0.000058263162,0.00007065837,0.00049206574,0.000026702257,0.00004884029,0.0015151207],"study_design_scores_gemma":[0.000002074826,0.000030970925,0.99924695,0.0000029643627,0.000013469712,0.00013023602,0.00003640709,0.00031594624,0.00012171361,0.00004409882,0.000053519958,0.000001678602],"about_ca_topic_score_codex":0.00660665,"about_ca_topic_score_gemma":0.006250449,"teacher_disagreement_score":0.00660665,"about_ca_system_score_codex":0.00035055925,"about_ca_system_score_gemma":0.00023482574,"threshold_uncertainty_score":0.013136387},"labels":[],"label_agreement":null},{"id":"W2542474242","doi":"10.1109/iembs.1991.683917","title":"A Large Area CCD Camera for Mammographic Image Acquisition","year":2005,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Occupational Cancer Research Centre","funders":"","keywords":"Computer vision; Computer science; Artificial intelligence; Computer graphics (images); Remote sensing; Geography","score_opus":0.009074885004289795,"score_gpt":0.2597584278108122,"score_spread":0.2506835428065224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542474242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045814004,0.0027619854,0.90621984,0.0011254766,0.0009240377,0.0018122252,0.0013589944,0.009016827,0.030966576],"genre_scores_gemma":[0.18238683,0.0011596222,0.7827656,0.0010956196,0.00031348714,0.0006533474,0.0009779144,0.0003306499,0.030316921],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991208,0.00010977002,0.00004535032,0.00016986231,0.00049563014,0.000058641235],"domain_scores_gemma":[0.99844235,0.0003955749,0.0000625691,0.00022490417,0.0007176296,0.0001570385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076506694,0.0005118931,0.0006965934,0.0012765061,0.00073067466,0.000879217,0.0012510087,0.0008187637,0.024776133],"category_scores_gemma":[0.0016365834,0.0005230533,0.00033087243,0.001192668,0.00023164932,0.00076169806,0.00085193734,0.0007871317,0.0055906195],"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":[0.00072064117,0.00021566705,0.0022797887,0.0006002635,0.000054400043,0.00044917333,0.00009916782,0.0004617444,0.6919717,0.0033420613,0.027246682,0.27255872],"study_design_scores_gemma":[0.0005150074,0.0022655746,0.032992255,0.00019283149,0.00037053123,0.011915454,0.00018233864,0.054262705,0.59978575,0.0017263632,0.29555535,0.00023587688],"about_ca_topic_score_codex":0.0015007977,"about_ca_topic_score_gemma":0.0031516354,"teacher_disagreement_score":0.024776133,"about_ca_system_score_codex":0.00066576415,"about_ca_system_score_gemma":0.0011963008,"threshold_uncertainty_score":0.08288443},"labels":[],"label_agreement":null},{"id":"W2567162672","doi":"10.1186/s13058-016-0787-0","title":"Mammographic density assessed on paired raw and processed digital images and on paired screen-film and digital images across three mammography systems","year":2016,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; Cancer Care Ontario","funders":"National Cancer Institute; Cancer Council Victoria; Cancer Research UK; National Health and Medical Research Council; National Breast Cancer Foundation; World Cancer Research Fund; Engineering and Physical Sciences Research Council; Israel Cancer Association; Ellison Medical Foundation; Isfahan University of Medical Sciences; Centre International de Recherche sur le Cancer; World Health Organization; National Institutes of Health","keywords":"Digital mammography; Computed radiography; Mammography; Digital radiography; Nuclear medicine; Digital image; Medicine; Digital imaging; Automatic exposure control; Darkroom; Radiography; Mathematics; Artificial intelligence; Image processing; Computer science; Radiology; Optics; Physics; Image quality; Breast cancer; Image (mathematics)","score_opus":0.03267303714235977,"score_gpt":0.32696071648766933,"score_spread":0.2942876793453096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567162672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527115,0.00030650277,0.0023993147,0.000012589415,0.000008751466,0.00011006165,0.00045511234,0.000042550222,0.0013939419],"genre_scores_gemma":[0.9969031,0.0000397929,0.002352765,0.000010175598,0.000007068011,0.00004927578,0.00035324154,0.000007446941,0.000277192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99624014,0.001311273,0.00037541415,0.0008986049,0.0010417069,0.00013295397],"domain_scores_gemma":[0.98781306,0.0067134704,0.0020209686,0.0011284509,0.002116279,0.00020774762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039940323,0.00041411098,0.00036788054,0.0012679966,0.00022882718,0.00074240594,0.00054714305,0.00041452568,0.00261373],"category_scores_gemma":[0.019165028,0.00031489605,0.0004160076,0.00091675605,0.0004535967,0.0004978212,0.0009564415,0.00029264344,0.00048845715],"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":[0.0034980006,0.00015470404,0.95917153,0.00024171652,0.0004948367,0.00021323864,0.000528527,0.0008395573,0.010607303,0.00016351242,0.00023894513,0.023848135],"study_design_scores_gemma":[0.00004331411,0.0007986839,0.9894505,0.000013304373,0.00017077982,0.0009938896,0.00013728697,0.0012919124,0.0065881405,0.00010467216,0.00039060588,0.000016841575],"about_ca_topic_score_codex":0.0010665221,"about_ca_topic_score_gemma":0.0012069168,"teacher_disagreement_score":0.0039940323,"about_ca_system_score_codex":0.0003790498,"about_ca_system_score_gemma":0.00021722379,"threshold_uncertainty_score":0.021122694},"labels":[],"label_agreement":null},{"id":"W2591291913","doi":"10.1200/jco.2012.30.34_suppl.300","title":"Developing an IT infrastructure for the National Radiation Oncology Registry.","year":2012,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Digital Radiography and Breast Imaging","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":"Varian Medical Systems (Canada)","funders":"","keywords":"Interoperability; Medicine; Data collection; Usability; Electronic data capture; Computer science; Data science; World Wide Web; Clinical trial; Internal medicine","score_opus":0.17472451626305782,"score_gpt":0.5182119112359214,"score_spread":0.3434873949728635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591291913","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033247467,0.00093144877,0.7223911,0.014146279,0.00082665426,0.00959858,0.012824699,0.13010587,0.07592783],"genre_scores_gemma":[0.13021316,0.0010805926,0.78036535,0.0022729824,0.00038964866,0.0046190373,0.055184957,0.0042636534,0.021610662],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98845184,0.0049128435,0.0018165781,0.0017274311,0.0021352377,0.0009560227],"domain_scores_gemma":[0.9774699,0.0049737315,0.0022847832,0.00607802,0.006230704,0.002962792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021808513,0.00077172805,0.00059134525,0.0034584582,0.0014299878,0.006206025,0.0030431598,0.0014777811,0.015045356],"category_scores_gemma":[0.028660428,0.00092740223,0.0008832891,0.0037814514,0.00075929856,0.009777396,0.006452005,0.0020067587,0.015079277],"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":[0.0006449241,0.0010289816,0.024851236,0.0011929233,0.00016957565,0.001225371,0.0021889417,0.010679659,0.016464384,0.060346033,0.30302292,0.57818496],"study_design_scores_gemma":[0.0004371584,0.0008088287,0.021272846,0.0010504612,0.00015811734,0.0014888076,0.0018293429,0.08780631,0.016460633,0.019599069,0.8488374,0.0002512176],"about_ca_topic_score_codex":0.005861086,"about_ca_topic_score_gemma":0.0035391273,"teacher_disagreement_score":0.021808513,"about_ca_system_score_codex":0.0032716542,"about_ca_system_score_gemma":0.010846728,"threshold_uncertainty_score":0.11533588},"labels":[],"label_agreement":null},{"id":"W2594250383","doi":"10.1158/1538-7445.sabcs16-p3-01-02","title":"Abstract P3-01-02: Trends in positive predictive values following transition from screen film to digital mammography","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Digital Radiography and Breast Imaging","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":"University of Calgary; University of British Columbia","funders":"","keywords":"Medicine; Ductal carcinoma; Mammography; Malignancy; Biopsy; Digital mammography; Calcification; Breast cancer; Radiology; Hyperplasia; Lobular carcinoma; Cancer; Pathology; Internal medicine","score_opus":0.043557704291088205,"score_gpt":0.3889454276124338,"score_spread":0.3453877233213456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594250383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722594,0.00041498226,0.00015239192,0.00016077065,0.000008822885,0.000009332956,0.00128039,0.000026643926,0.0007207849],"genre_scores_gemma":[0.9992176,0.000052018928,0.00008051588,0.000033157135,0.000010304243,0.000005235375,0.0005132484,0.0000036887982,0.00008413194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931204,0.00014706411,0.00007380743,0.00016391689,0.00017969319,0.00012352121],"domain_scores_gemma":[0.98761976,0.0058158,0.0037346543,0.00035876004,0.0014716618,0.000999368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011677498,0.00014759703,0.00021473021,0.0011945224,0.00018657769,0.0007552113,0.00047203884,0.0005298028,0.0017435845],"category_scores_gemma":[0.012487271,0.00013787164,0.00036038144,0.001337124,0.00026008548,0.0005867771,0.00042578878,0.0006770503,0.0003958991],"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":[0.00017470983,0.000016322661,0.9962465,0.000008664634,0.000014459159,0.000037195885,0.000022706985,0.000059890983,0.00017210015,0.000013083795,0.00021795866,0.0030164488],"study_design_scores_gemma":[0.0000033376418,0.0000619202,0.99906653,0.0000038679455,0.000007462176,0.00016726393,0.00006076779,0.0003000827,0.00018461693,0.000015048085,0.00012694212,0.0000022032332],"about_ca_topic_score_codex":0.006686618,"about_ca_topic_score_gemma":0.0033983607,"teacher_disagreement_score":0.006686618,"about_ca_system_score_codex":0.0004793331,"about_ca_system_score_gemma":0.0003943637,"threshold_uncertainty_score":0.013295412},"labels":[],"label_agreement":null},{"id":"W2604629495","doi":"10.1259/bjr.20170128","title":"Imaging features and conspicuity of invasive lobular carcinomas on digital breast tomosynthesis","year":2017,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"Société Française de Radiologie","keywords":"Medicine; Digital Breast Tomosynthesis; Invasive lobular carcinoma; Radiology; Intraclass correlation; Breast imaging; Mammography; Lesion; Institutional review board; Concordance; Nuclear medicine; Breast cancer; Pathology; Cancer; Surgery; Internal medicine; Invasive ductal carcinoma","score_opus":0.008935428509975942,"score_gpt":0.23395625545691776,"score_spread":0.2250208269469418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604629495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822634,0.0010467258,0.00012759911,0.000012475025,0.0000026882562,0.000007649676,0.000045198074,0.000004439754,0.00052674836],"genre_scores_gemma":[0.9994721,0.00023411812,0.00014793765,0.000008694612,0.000011619862,0.0000051303446,0.00005337384,0.0000016555704,0.00006530437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995578,0.00010648681,0.00007432957,0.00007339315,0.00013726299,0.00005073575],"domain_scores_gemma":[0.99798965,0.00085361465,0.0006721596,0.00007597866,0.00022347773,0.00018519431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083681365,0.00028477004,0.0003330717,0.0019199639,0.00016713432,0.0004168518,0.00025564936,0.00029526523,0.0013648337],"category_scores_gemma":[0.004762553,0.00019131051,0.0001706533,0.0006843562,0.0003981778,0.0004768912,0.00037350674,0.00014441277,0.0003047652],"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":[0.00036896058,0.000022294778,0.9879602,0.00005420652,0.000030179306,0.0023899232,0.00009303569,0.00006242477,0.0030964867,0.000018762861,0.000052940322,0.005850523],"study_design_scores_gemma":[0.000012204146,0.00018975382,0.9731578,0.00001675884,0.00004373746,0.025076611,0.0002097893,0.00017417007,0.0007719413,0.000019309608,0.00032277935,0.0000051964216],"about_ca_topic_score_codex":0.0003970136,"about_ca_topic_score_gemma":0.00053415546,"teacher_disagreement_score":0.0019199639,"about_ca_system_score_codex":0.00018310083,"about_ca_system_score_gemma":0.0001391289,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2605197132","doi":"10.1016/j.apradiso.2017.04.011","title":"Longitudinal monitoring of whole body counter NaI(Tl) detector efficiency","year":2017,"lang":"en","type":"article","venue":"Applied Radiation and Isotopes","topic":"Digital Radiography and Breast Imaging","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":"National Research Council Canada; Agricultural Research Service","keywords":"Detector; Baseline (sea); Environmental science; Nuclear engineering; Nuclear medicine; Nuclear physics; Physics; Optics; Medicine; Engineering; Biology","score_opus":0.012346335289724475,"score_gpt":0.26610878009008865,"score_spread":0.2537624448003642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605197132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778617,0.0019401944,0.015097495,0.00009919316,0.000036039648,0.000079527934,0.0013134286,0.00039078182,0.003181738],"genre_scores_gemma":[0.9890085,0.00030534802,0.0037205603,0.00006974168,0.000016684311,0.00008869032,0.00081664923,0.00010991869,0.0058638398],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996289,0.00009849205,0.000020036474,0.000109240464,0.00009222432,0.000051105726],"domain_scores_gemma":[0.9974087,0.0004949172,0.00037914605,0.00026123668,0.0012842441,0.00017170676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009657987,0.0004200051,0.00043364038,0.0008055361,0.0005291122,0.0008938633,0.0003813559,0.000648546,0.0014767494],"category_scores_gemma":[0.0018038737,0.000281456,0.00030817348,0.00067762774,0.00030781876,0.0005434596,0.00033846617,0.00090224337,0.0008342134],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011608651,0.0008462959,0.37057996,0.00016595912,0.00024555207,0.00033674788,0.0010784342,0.00081062835,0.5549989,0.00038858966,0.0010431431,0.057897113],"study_design_scores_gemma":[0.000077157565,0.0029052142,0.43272802,0.00003390298,0.0004801413,0.0012224469,0.00042948851,0.0057062013,0.5489773,0.00024589436,0.007133133,0.00006100273],"about_ca_topic_score_codex":0.0035362947,"about_ca_topic_score_gemma":0.0027339307,"teacher_disagreement_score":0.0035362947,"about_ca_system_score_codex":0.00052231416,"about_ca_system_score_gemma":0.0006252126,"threshold_uncertainty_score":0.007031381},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7613481,0.004018785,0.22409211,0.00051369454,0.0000822657,0.000105037856,0.00013145822,0.0010237327,0.008684922],"genre_scores_gemma":[0.98187894,0.0012262153,0.013567435,0.00008369439,0.000010913655,0.000019198007,0.000055174718,0.000045165103,0.0031132926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99936885,0.00008987763,0.000025414207,0.00015022287,0.00031381805,0.000051859814],"domain_scores_gemma":[0.9989441,0.00069706043,0.00013804686,0.0000725792,0.00012199567,0.000026364549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005902878,0.0004902194,0.0004955768,0.00030126478,0.00036183628,0.00086759607,0.00075027824,0.0007360847,0.0011297405],"category_scores_gemma":[0.0019825292,0.00033927461,0.0004490996,0.00031858764,0.0006064328,0.0012251834,0.0005887586,0.0004894105,0.00028808083],"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":[0.0011222032,0.00017584697,0.015288574,0.0006066454,0.00014715659,0.0019096556,0.00076187827,0.11014749,0.80285585,0.012204319,0.0008622552,0.05391806],"study_design_scores_gemma":[0.000035133246,0.0005972188,0.008114738,0.00008025347,0.00011062966,0.0010457283,0.00030260524,0.40251663,0.5820192,0.0019742448,0.0031441187,0.00005950592],"about_ca_topic_score_codex":0.0034665489,"about_ca_topic_score_gemma":0.0046393326,"teacher_disagreement_score":0.0034665489,"about_ca_system_score_codex":0.0014069859,"about_ca_system_score_gemma":0.0006249004,"threshold_uncertainty_score":0.010208428},"labels":[],"label_agreement":null},{"id":"W2613504639","doi":"","title":"Infrastructure for secure medical image sharing between distributed PACS and DI-r systems.","year":2013,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Digital Radiography and Breast Imaging","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":"McMaster University","keywords":"Computer science; Computer security; DICOM; Image sharing; Internet privacy; Business; Image (mathematics); Operating system; Computer vision","score_opus":0.0069716264258196485,"score_gpt":0.2188611559625939,"score_spread":0.21188952953677426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613504639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016836701,0.00046577997,0.9410644,0.0007646907,0.00015516132,0.00060319365,0.00036717142,0.016936831,0.022806017],"genre_scores_gemma":[0.4628629,0.0009645223,0.5014355,0.0005772282,0.00013533205,0.00094583025,0.0034743606,0.0012264783,0.028377805],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820566,0.0003497689,0.00017303624,0.00029886037,0.000696401,0.00027631686],"domain_scores_gemma":[0.9977525,0.0002885187,0.00024811857,0.0011333396,0.0003859335,0.00019157528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021361317,0.0004738103,0.00037792657,0.0009993912,0.0006761147,0.0018340269,0.0020304846,0.00096918165,0.007319351],"category_scores_gemma":[0.0028262092,0.00057426293,0.00074428954,0.0005072704,0.000728235,0.0025458543,0.0044539687,0.0013952518,0.0041263485],"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":[0.00081302307,0.00079853885,0.008023637,0.0013625185,0.0003019972,0.002019035,0.0022014517,0.03864266,0.10542629,0.3626814,0.041608676,0.43612078],"study_design_scores_gemma":[0.00023387675,0.0007880858,0.008593611,0.00041727404,0.0002630021,0.002757094,0.000572391,0.41386235,0.08735922,0.06749148,0.41745186,0.00020986261],"about_ca_topic_score_codex":0.0016584354,"about_ca_topic_score_gemma":0.0013231725,"teacher_disagreement_score":0.007319351,"about_ca_system_score_codex":0.0015911517,"about_ca_system_score_gemma":0.003607416,"threshold_uncertainty_score":0.024485707},"labels":[],"label_agreement":null},{"id":"W2614902232","doi":"10.1158/1055-9965.epi-17-0249","title":"A Randomized Double-Blind Placebo-Controlled Trial of the Effect of Vitamin D3 Supplementation on Breast Density in Premenopausal Women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Université de Montréal; Université Laval; Centre Hospitalier Universitaire Sainte-Justine; Centre hospitalier de l'Université Laval; Sunnybrook Health Science Centre; Hôpital du Saint-Sacrement","funders":"Association Canadienne des Radiologistes; Fondation du cancer du sein du Québec","keywords":"Medicine; Placebo; Vitamin D and neurology; Vitamin; Randomized controlled trial; Internal medicine","score_opus":0.03348283550200456,"score_gpt":0.3722821835751489,"score_spread":0.3387993480731444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614902232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96043617,0.012513653,0.001195702,0.0013234616,0.0021561568,0.016467864,0.0021996289,0.00024159637,0.0034657882],"genre_scores_gemma":[0.9692193,0.004217263,0.002516885,0.0014799921,0.0007133258,0.016576191,0.0009861176,0.000021313184,0.004269535],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9989028,0.00056472316,0.000108199085,0.0002154309,0.00009669451,0.00011209188],"domain_scores_gemma":[0.99857736,0.00043379338,0.00035918722,0.00011917304,0.00017052365,0.00034000986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021865717,0.0013291688,0.0032338398,0.00046983204,0.00080887054,0.0009732196,0.0009984414,0.002467605,0.00946273],"category_scores_gemma":[0.003533644,0.0007515387,0.001467843,0.0004199002,0.0011821009,0.0007119438,0.00040918737,0.0020054013,0.000984104],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.99011326,0.0029249133,0.00012358156,0.0007247512,0.00041496594,0.0000110087285,0.000018904606,0.000044178054,0.0010277238,0.000030357804,0.00027675688,0.0042895847],"study_design_scores_gemma":[0.9842354,0.014810792,0.00041302503,0.00002738748,0.00015359944,0.0000046506325,0.0000056361273,0.000049190432,0.00010210571,0.000032285574,0.00016210607,0.000003876244],"about_ca_topic_score_codex":0.002804128,"about_ca_topic_score_gemma":0.0042277756,"teacher_disagreement_score":0.00946273,"about_ca_system_score_codex":0.0008860881,"about_ca_system_score_gemma":0.001958449,"threshold_uncertainty_score":0.031656027},"labels":[],"label_agreement":null},{"id":"W2615476028","doi":"10.1007/s10549-017-4299-0","title":"Effect of age on breast cancer screening using tomosynthesis in combination with digital mammography","year":2017,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's Health Research Institute","funders":"National Cancer Institute; Hologic","keywords":"Tomosynthesis; Mammography; Digital mammography; Medicine; Digital Breast Tomosynthesis; Breast cancer; Cancer detection; Breast cancer screening; Radiology; Cancer; Nuclear medicine; Internal medicine","score_opus":0.03833765043007683,"score_gpt":0.36297614639031234,"score_spread":0.32463849596023553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615476028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995395,0.0028476524,0.00015101608,0.00014884304,0.000101108635,0.000012090062,0.00011351363,0.000013095297,0.0012176889],"genre_scores_gemma":[0.99800915,0.0007288117,0.000157679,0.000050569444,0.000100916084,0.0000063105526,0.00005189615,0.000008768623,0.00088588684],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9989661,0.0005591293,0.00007444031,0.00013859617,0.00011782016,0.00014392093],"domain_scores_gemma":[0.98915803,0.008329353,0.0008164842,0.00036057815,0.0003398969,0.0009956167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618072,0.0006202556,0.0010696311,0.0004639299,0.00029904445,0.00053349935,0.00027320205,0.0007137328,0.0030181776],"category_scores_gemma":[0.010848003,0.00029637924,0.00095227157,0.0004625893,0.0002852056,0.00073863653,0.0005208354,0.00065159233,0.00027080713],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.4912179,0.006212211,0.4069113,0.0003984106,0.0012625459,0.0010853047,0.0006027481,0.0015545213,0.025470527,0.00022080762,0.00043040598,0.06463327],"study_design_scores_gemma":[0.0010587403,0.05904272,0.9238595,0.00008002865,0.0031479348,0.0007935685,0.0004617224,0.002604541,0.00708359,0.00025937194,0.0015511429,0.000057272002],"about_ca_topic_score_codex":0.0017530617,"about_ca_topic_score_gemma":0.0019736963,"teacher_disagreement_score":0.0030181776,"about_ca_system_score_codex":0.00025335242,"about_ca_system_score_gemma":0.0005456398,"threshold_uncertainty_score":0.010096788},"labels":[],"label_agreement":null},{"id":"W2618675192","doi":"10.1002/mp.12358","title":"Experimental characterization of a direct conversion amorphous selenium detector with thicker conversion layer for dual‐energy contrast‐enhanced breast imaging","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Analogic (Canada)","funders":"National Institutes of Health","keywords":"Detector; Image resolution; Materials science; Optics; Detective quantum efficiency; Breast imaging; Flat panel detector; Mammography; Medical imaging; Image quality; Physics; Radiology; Computer science; Medicine; Breast cancer","score_opus":0.008195941756552161,"score_gpt":0.24049505556089823,"score_spread":0.23229911380434606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618675192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907907,0.0002732878,0.0075645526,0.000069580106,0.000034825025,0.00009418624,0.00024166005,0.00013389105,0.00079730444],"genre_scores_gemma":[0.96117747,0.00036475304,0.035720747,0.00005353044,0.000009163638,0.000113987284,0.0002858658,0.000056652487,0.0022178176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996026,0.000035853802,0.000022172613,0.00012265384,0.0001804486,0.000036375965],"domain_scores_gemma":[0.99932516,0.00014900666,0.0001385841,0.00011461316,0.0002291187,0.000043660522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062662736,0.0004129839,0.00033463634,0.00023269615,0.00023065842,0.00048039082,0.0008399584,0.0005961109,0.0011624487],"category_scores_gemma":[0.000987758,0.00031672846,0.00024400796,0.00032274864,0.0002835055,0.00037874767,0.0002692724,0.00037737665,0.0003075577],"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":[0.000060255414,0.00005218776,0.00055643433,0.000059534625,0.000010524995,0.000075475735,0.000051883264,0.00023210126,0.99712974,0.00009312138,0.000095347685,0.0015833442],"study_design_scores_gemma":[0.000020769525,0.00060982857,0.0032166322,0.000008579063,0.000022508368,0.00016115095,0.00004402858,0.0024848538,0.99176824,0.000013109747,0.0016384451,0.0000118715325],"about_ca_topic_score_codex":0.001041564,"about_ca_topic_score_gemma":0.0015052769,"teacher_disagreement_score":0.0011624487,"about_ca_system_score_codex":0.0005325967,"about_ca_system_score_gemma":0.0003890336,"threshold_uncertainty_score":0.0038887262},"labels":[],"label_agreement":null},{"id":"W2621187345","doi":"10.1002/mp.12389","title":"Technical Note: Detective quantum efficiency simulation of a‐Se imaging detectors using ARTEMIS","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detective quantum efficiency; Detector; Monte Carlo method; Photon; Physics; Optics; Electron; Photon energy; X-ray detector; Computational physics; Computer science; Mathematics; Nuclear physics; Artificial intelligence; Image quality; Image (mathematics); Statistics","score_opus":0.024806744649294603,"score_gpt":0.335030195176189,"score_spread":0.3102234505268944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621187345","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.406454,0.0008390298,0.56197566,0.00069759466,0.00014064074,0.00021370512,0.0016107874,0.004341041,0.023727585],"genre_scores_gemma":[0.92023385,0.0003653805,0.07260945,0.00011578489,0.000028039858,0.00023173029,0.00071750616,0.00034551934,0.005352749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997577,0.000058301546,0.000010670132,0.000026232696,0.00012698902,0.00001998695],"domain_scores_gemma":[0.9989004,0.0005998233,0.00011182757,0.00009489632,0.0002557292,0.000037219466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048761696,0.00047701423,0.00034900728,0.00038414265,0.000408276,0.000622947,0.0010171342,0.0010366802,0.002907534],"category_scores_gemma":[0.002066061,0.00029365966,0.00070827117,0.0003510992,0.0003342531,0.0006770226,0.00033391453,0.0005077677,0.00037263733],"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":[0.0000811361,0.000037740436,0.0019813736,0.00010496529,0.00002946109,0.000101292455,0.00007270151,0.97554445,0.011508843,0.004952468,0.0006669515,0.004918747],"study_design_scores_gemma":[0.000008993195,0.000036435675,0.00021654653,0.0000058953337,0.0000067337032,0.000028953635,0.000005045254,0.99077034,0.007168384,0.00041796602,0.0013282179,0.0000064927076],"about_ca_topic_score_codex":0.005010042,"about_ca_topic_score_gemma":0.0033223047,"teacher_disagreement_score":0.005010042,"about_ca_system_score_codex":0.0010909858,"about_ca_system_score_gemma":0.00095960463,"threshold_uncertainty_score":0.009961724},"labels":[],"label_agreement":null},{"id":"W2686540752","doi":"10.1002/mp.12420","title":"MTF and DQE enhancement using an apodized‐aperture x‐ray detector design","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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 Waterloo; Western University","funders":"Canadian Institutes of Health Research; Breast Cancer Society of Canada","keywords":"Detective quantum efficiency; Optics; Optical transfer function; Image sensor; Pixel; Detector; Physics; Image quality; Aperture (computer memory); X-ray detector; Dot pitch; Apodization; Noise (video); Computer science; Computer vision; Image (mathematics)","score_opus":0.0474372999896867,"score_gpt":0.3136040732727767,"score_spread":0.26616677328308996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2686540752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08454658,0.0008108198,0.90793806,0.0003203194,0.000097647666,0.000119623306,0.000082923805,0.0008752917,0.00520872],"genre_scores_gemma":[0.4633058,0.00035403325,0.53128684,0.00021362354,0.000059752405,0.00013352535,0.000085818094,0.00007663074,0.0044839806],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996007,0.000054878106,0.000018827666,0.0001109608,0.00019730051,0.000017270104],"domain_scores_gemma":[0.999514,0.00013443836,0.00011796619,0.00004090082,0.00016364058,0.000029084318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003045834,0.00039584318,0.00023980414,0.000232599,0.00018884048,0.00050540455,0.0011756965,0.00063319545,0.0012361701],"category_scores_gemma":[0.0006224375,0.0002802703,0.0002808727,0.00022648857,0.0002927051,0.0006197025,0.00030421684,0.00044836968,0.0005786987],"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":[0.00017316332,0.00010366496,0.0011544431,0.00020563773,0.000044942764,0.00017549148,0.00007499792,0.0068084584,0.92487764,0.0058841966,0.001089681,0.059407566],"study_design_scores_gemma":[0.00009357226,0.0007612121,0.00214898,0.000022209933,0.00007347961,0.0019412555,0.00001570521,0.24897844,0.7221237,0.0010892318,0.022695739,0.000056490604],"about_ca_topic_score_codex":0.00034731237,"about_ca_topic_score_gemma":0.00040415136,"teacher_disagreement_score":0.0012361701,"about_ca_system_score_codex":0.0008279363,"about_ca_system_score_gemma":0.00036452105,"threshold_uncertainty_score":0.006007135},"labels":[],"label_agreement":null},{"id":"W2705907178","doi":"","title":"A mechanical three-dimensional scanning mechanism for one-side scatter imaging at University of New Brunswick Fredericton, New Brunswick","year":2007,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mechanism (biology); Geology; Remote sensing; Physics","score_opus":0.019208337959970838,"score_gpt":0.24406708598653531,"score_spread":0.22485874802656447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2705907178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1750914,0.0016169767,0.786571,0.001409928,0.0009100366,0.00095118955,0.00035541394,0.003062326,0.030031685],"genre_scores_gemma":[0.62481576,0.00072015525,0.31590056,0.00021206445,0.000048446673,0.00049424794,0.0002223661,0.00012945554,0.057457037],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999342,0.00005315265,0.000030942992,0.000094328825,0.00041190805,0.000067522764],"domain_scores_gemma":[0.9990299,0.0001436375,0.00005847279,0.00017075652,0.00051005714,0.00008717648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012239038,0.0005214901,0.00042537702,0.0010422226,0.001218339,0.000818564,0.0017169048,0.0007014935,0.008540692],"category_scores_gemma":[0.0010286645,0.0005171265,0.0004463913,0.00046190716,0.000722989,0.0006460786,0.0015730658,0.0005129647,0.0014644384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040445203,0.00012246813,0.0037814172,0.00020415337,0.0000264659,0.0006549233,0.0005707942,0.0050726384,0.8099146,0.028611425,0.0051036575,0.14553304],"study_design_scores_gemma":[0.00023736643,0.0012365889,0.013122354,0.00019992603,0.00012385275,0.0025043709,0.00044161285,0.111164555,0.6840406,0.0027154682,0.18391517,0.0002980793],"about_ca_topic_score_codex":0.0114870565,"about_ca_topic_score_gemma":0.022663014,"teacher_disagreement_score":0.98851293,"about_ca_system_score_codex":0.0011720441,"about_ca_system_score_gemma":0.0025396976,"threshold_uncertainty_score":0.028571427},"labels":[],"label_agreement":null},{"id":"W2724454065","doi":"10.1371/journal.pmed.1002335","title":"Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide","year":2017,"lang":"en","type":"review","venue":"PLoS Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Cancer Care Ontario","funders":"National Cancer Institute; National Medical Research Council; Cancer Council Victoria; National Institutes of Health; Medical Research Council; Instituto de Seguriidad y Servicios Sociales de los Trabadores del Estado; National Institute for Health and Care Research; Swiss Re; Universiti Malaya; ZonMw; Cancer Research UK; World Health Organization; European Commission; AstraZeneca; National Health and Medical Research Council; Isfahan University of Medical Sciences; Breast Cancer Campaign; Centre International de Recherche sur le Cancer; World Cancer Research Fund; Susan G. Komen for the Cure; Engineering and Physical Sciences Research Council; Israel Cancer Association; Ellison Medical Foundation; American Institute for Cancer Research; National Breast Cancer Foundation","keywords":"Medicine; Breast cancer; Mammography; Demography; Body mass index; Cross-sectional study; Population; BI-RADS; Menopause; Gynecology; Obstetrics; Cancer; Internal medicine; Environmental health; Pathology","score_opus":0.11076696915495661,"score_gpt":0.39550737306914935,"score_spread":0.28474040391419275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724454065","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42821443,0.53503907,0.013190111,0.00059852784,0.00044399648,0.001142409,0.019813878,0.00030177837,0.0012558845],"genre_scores_gemma":[0.93879306,0.04201628,0.0070896656,0.0005467649,0.00014387831,0.001367696,0.009698412,0.000089148576,0.00025507866],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9756369,0.013105316,0.0052800677,0.003498676,0.0019926631,0.00048648682],"domain_scores_gemma":[0.9630899,0.017441738,0.008057306,0.006028626,0.004849971,0.00053246855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.031047978,0.0023026678,0.00960419,0.008147273,0.0006493364,0.0027826778,0.0015293129,0.0018848088,0.0010027766],"category_scores_gemma":[0.054780815,0.0017469907,0.027789801,0.00949314,0.0006154895,0.001081193,0.0026758043,0.0009454029,0.00018174827],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035128132,0.00004165014,0.16079773,0.01631712,0.8068603,0.00018585882,0.00028675955,0.0011864799,0.00036233905,0.00009772612,0.0011394554,0.0092118215],"study_design_scores_gemma":[0.0011371754,0.00035266438,0.166637,0.00261035,0.82599235,0.00028242075,0.00014363088,0.00055921526,0.00019792745,0.00013993299,0.0018759636,0.00007142908],"about_ca_topic_score_codex":0.017331576,"about_ca_topic_score_gemma":0.01830886,"teacher_disagreement_score":0.031047978,"about_ca_system_score_codex":0.0012268282,"about_ca_system_score_gemma":0.0019963107,"threshold_uncertainty_score":0.16419941},"labels":[],"label_agreement":null},{"id":"W2730713813","doi":"10.1016/j.radi.2017.03.004","title":"Mammographic image quality in relation to positioning of the breast: A multicentre international evaluation of the assessment systems currently used, to provide an evidence base for establishing a standardised method of assessment","year":2017,"lang":"en","type":"article","venue":"Radiography","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Mount Sinai Hospital","funders":"","keywords":"Delphi method; Mammography; Medicine; Medical physics; Delphi; Reliability (semiconductor); Test (biology); Population; Quality (philosophy); Set (abstract data type); Artificial intelligence; Breast cancer; Computer science; Cancer","score_opus":0.06659632282402461,"score_gpt":0.4439551991123431,"score_spread":0.3773588762883185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730713813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849629,0.008679799,0.002336722,0.00025382213,0.000074803924,0.00096964784,0.0009632592,0.00002220286,0.0017368332],"genre_scores_gemma":[0.99440867,0.0012239701,0.0031541071,0.0000743174,0.000028917031,0.00039081596,0.0005536131,0.000013859282,0.00015175794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9721201,0.014351746,0.004901935,0.0018589435,0.0062393574,0.00052789843],"domain_scores_gemma":[0.95655787,0.016236166,0.016862467,0.0024914017,0.006758131,0.0010938956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.032636575,0.0009150434,0.0016363522,0.0036135488,0.0007523789,0.0018649768,0.0016191178,0.0011408003,0.0013007252],"category_scores_gemma":[0.057140976,0.00043836475,0.0022739365,0.006159688,0.001801508,0.001919137,0.0023698064,0.00063893077,0.00023098239],"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":[0.0068764435,0.000787168,0.9252098,0.0018743405,0.0022276756,0.00008886045,0.003586184,0.00052411895,0.0009945489,0.00030507747,0.0006762965,0.056849446],"study_design_scores_gemma":[0.00058679533,0.005162024,0.98819995,0.0005154035,0.0010271713,0.00030737845,0.0017569419,0.0007144575,0.00047359525,0.00011419464,0.0010704431,0.0000715998],"about_ca_topic_score_codex":0.003619413,"about_ca_topic_score_gemma":0.0055781263,"teacher_disagreement_score":0.032636575,"about_ca_system_score_codex":0.0021926372,"about_ca_system_score_gemma":0.0016339483,"threshold_uncertainty_score":0.17260075},"labels":[],"label_agreement":null},{"id":"W2734631892","doi":"10.1259/bjr.20170307","title":"Breast density scales: the metric matters","year":2017,"lang":"en","type":"article","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Izaak Walton Killam Health Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Categorical variable; MAMMOGRAPHIC DENSITY; BI-RADS; Mathematics; Receiver operating characteristic; Statistics; Metric (unit); Mean squared error; Scale (ratio); Breast cancer; Medicine; Square root; Mammography; Cancer; Internal medicine; Geometry","score_opus":0.009493173604012422,"score_gpt":0.24949785542543748,"score_spread":0.24000468182142506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734631892","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2859826,0.12950976,0.28067768,0.20036231,0.014014163,0.0006238976,0.006874194,0.0018344893,0.08012096],"genre_scores_gemma":[0.87889785,0.018739365,0.07852019,0.011698415,0.00406297,0.00028069367,0.0013069917,0.0005783435,0.005915114],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98770744,0.0065331734,0.00095840485,0.0010076251,0.0036549878,0.00013834711],"domain_scores_gemma":[0.94495773,0.03531468,0.005461068,0.0045620752,0.00874527,0.0009592295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015342065,0.0005989681,0.0010234528,0.0015630428,0.0005717256,0.004154476,0.0012665741,0.0010530816,0.0040309806],"category_scores_gemma":[0.12729888,0.00038787434,0.00058309117,0.0035535845,0.0028784138,0.0044637052,0.0020784915,0.0019877676,0.0017460105],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048874976,0.00009334845,0.223566,0.0014522633,0.0008593538,0.0001684238,0.002364073,0.0018520692,0.0019603928,0.032499738,0.071785584,0.6629101],"study_design_scores_gemma":[0.00010966185,0.0012975719,0.5266318,0.0037884337,0.00047021505,0.0053701294,0.0063791727,0.010793792,0.0028473402,0.16178054,0.2801489,0.00038246298],"about_ca_topic_score_codex":0.0019428002,"about_ca_topic_score_gemma":0.0019090881,"teacher_disagreement_score":0.015342065,"about_ca_system_score_codex":0.0009134049,"about_ca_system_score_gemma":0.0007378032,"threshold_uncertainty_score":0.0811376},"labels":[],"label_agreement":null},{"id":"W2735124705","doi":"10.1158/1055-9965.epi-17-0264","title":"Age at Menarche and Late Adolescent Adiposity Associated with Mammographic Density on Processed Digital Mammograms in 24,840 Women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"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","funders":"National Cancer Institute","keywords":"Menarche; Medicine; Body mass index; Breast cancer; Demography; Confounding; MAMMOGRAPHIC DENSITY; Cohort; Gynecology; Mammography; Endocrinology; Internal medicine; Cancer","score_opus":0.046270495088975384,"score_gpt":0.3212448913547098,"score_spread":0.2749743962657344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735124705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988826,0.00022568887,0.000031787236,0.000024163459,0.0000038139538,0.0000037158632,0.0006577985,0.0000026658438,0.00016772556],"genre_scores_gemma":[0.9989454,0.00011210619,0.000056095636,0.000011188311,0.0000071235004,0.000007923577,0.0005801619,0.000001772853,0.00027821268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998016,0.000047510286,0.000015394866,0.000057312885,0.0000386,0.000039578128],"domain_scores_gemma":[0.9989761,0.00016824417,0.00049056136,0.00007145611,0.00010361902,0.00019003643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044827093,0.00024346137,0.00022542043,0.00055639877,0.00032072543,0.0004413522,0.0003566708,0.00037853053,0.0017857839],"category_scores_gemma":[0.0015460396,0.00039372232,0.00029694178,0.00072315166,0.00017987203,0.00024609367,0.00031143276,0.00050338596,0.0002255019],"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":[0.00005556481,0.000011293952,0.9994765,0.0000026344571,0.000016302689,0.000020479396,0.000019431263,0.00001054388,0.000050825525,0.0000028870593,0.000053539607,0.0002800816],"study_design_scores_gemma":[0.0000025649986,0.000018399534,0.99977285,0.0000021787387,0.000008636108,0.000051062416,0.00003382408,0.000035796762,0.000014159859,0.0000023344824,0.000057412657,7.6937556e-7],"about_ca_topic_score_codex":0.018212682,"about_ca_topic_score_gemma":0.020008322,"teacher_disagreement_score":0.018212682,"about_ca_system_score_codex":0.0002576647,"about_ca_system_score_gemma":0.00025191158,"threshold_uncertainty_score":0.03621334},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2738044656","doi":"","title":"MTF and NPS measurements including X-ray scatter - application in a digital mammography system","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Radiography and Breast Imaging","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":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Detective quantum efficiency; Optical transfer function; Optics; Digital mammography; Detector; Spatial frequency; Nyquist frequency; Physics; Mammography; Image quality; Image resolution; Noise power; Digital radiography; Noise (video); Quantum noise; Materials science; Radiography; Computer science; Power (physics); Medicine; Bandwidth (computing); Artificial intelligence","score_opus":0.02041579227043704,"score_gpt":0.244924977482689,"score_spread":0.22450918521225194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738044656","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805654,0.00032840643,0.018148778,0.00003917044,0.000005874516,0.000020010253,0.00008406085,0.00021011355,0.00059810246],"genre_scores_gemma":[0.9949292,0.00007034182,0.004586465,0.000016593887,0.0000031818267,0.000011354295,0.00006291297,0.000011981836,0.00030787723],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945945,0.00011208367,0.000030988092,0.00008399292,0.0002862102,0.000027277689],"domain_scores_gemma":[0.99913293,0.00044840816,0.000096748896,0.000075923934,0.00021492169,0.000031225158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054696476,0.00026309027,0.00030209226,0.00052611466,0.00016619291,0.00029280392,0.0003670139,0.00059512793,0.0012648158],"category_scores_gemma":[0.0018328399,0.00016901175,0.00015807888,0.00043627326,0.00022229846,0.00028073025,0.000285699,0.00014507069,0.0002650033],"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":[0.00072280114,0.00008514664,0.026519533,0.00021108169,0.00003670142,0.00023933999,0.00022707197,0.0030739808,0.94090515,0.00010885011,0.00012132492,0.027749103],"study_design_scores_gemma":[0.000031321815,0.001073552,0.060689267,0.000020067228,0.00007217533,0.0013886346,0.000098736506,0.019853657,0.91551095,0.000106762665,0.0011329593,0.0000219841],"about_ca_topic_score_codex":0.00069393375,"about_ca_topic_score_gemma":0.00038772108,"teacher_disagreement_score":0.0012648158,"about_ca_system_score_codex":0.0004094806,"about_ca_system_score_gemma":0.00018278285,"threshold_uncertainty_score":0.0042312145},"labels":[],"label_agreement":null},{"id":"W2740244712","doi":"10.1158/1538-7755.carisk16-b12","title":"Abstract B12: The effect of physical activity and body size on mammographic density in high-risk, BRCA mutation-negative women","year":2017,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital","funders":"","keywords":"Medicine; Family history; Breast cancer; Body mass index; Population; BRCA mutation; Cancer; Demography; Percentile; First-degree relatives; Gynecology; Internal medicine; Oncology; Environmental health","score_opus":0.01482295549395138,"score_gpt":0.3343544930914198,"score_spread":0.3195315375974684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740244712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988643,0.00030991875,0.000055802,0.000061033727,0.000010866764,0.000010706252,0.00035137188,0.0000047471744,0.00033120465],"genre_scores_gemma":[0.999191,0.000061834486,0.00006349341,0.000024340869,0.000013439857,0.00001364117,0.00028098008,0.0000020787124,0.0003492541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949,0.00027109007,0.00003245079,0.00009077817,0.00006142733,0.000054179145],"domain_scores_gemma":[0.99738187,0.0011628101,0.0005590711,0.00012545667,0.00013715803,0.0006335945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008801659,0.00041293606,0.0003631427,0.00041721313,0.0002974419,0.00046224458,0.0004023778,0.00074043893,0.0032774827],"category_scores_gemma":[0.0028872136,0.00031820274,0.00068891194,0.0004826132,0.0002810838,0.00029549416,0.0003963541,0.00064467615,0.00044833438],"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":[0.002057742,0.00017623266,0.9959949,0.00001600932,0.00018227324,0.00003102967,0.000021427904,0.000040598155,0.00023701356,0.000006192921,0.00009954562,0.0011371764],"study_design_scores_gemma":[0.000028036298,0.00058741693,0.9989976,0.0000024502704,0.00005797113,0.000048161204,0.000029173441,0.00014972562,0.000034459594,0.00000713169,0.000056026387,0.0000018432168],"about_ca_topic_score_codex":0.0032399476,"about_ca_topic_score_gemma":0.0028865945,"teacher_disagreement_score":0.0032774827,"about_ca_system_score_codex":0.00017891653,"about_ca_system_score_gemma":0.00021780614,"threshold_uncertainty_score":0.010964274},"labels":[],"label_agreement":null},{"id":"W2755637682","doi":"10.1016/j.jogc.2017.06.036","title":"Similar to Adiponectin, Serum Levels of Osteocalcin are Associated with Mammographic Breast Density in Postmenopausal Women","year":2017,"lang":"en","type":"article","venue":"Journal of Obstetrics and Gynaecology Canada","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Adiponectin; MAMMOGRAPHIC DENSITY; Postmenopausal women; Osteocalcin; Internal medicine; Gynecology; Endocrinology; Obstetrics; Mammography; Obesity; Breast cancer; Insulin resistance; Cancer; Alkaline phosphatase","score_opus":0.010426035929769553,"score_gpt":0.22187384172677557,"score_spread":0.211447805797006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755637682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679875,0.0017589601,0.00016387478,0.00015750848,0.00002004305,0.0000064886767,0.00019078932,0.000007121702,0.0008963123],"genre_scores_gemma":[0.99875414,0.00036828298,0.00011550709,0.000042918116,0.000016781143,0.000004507783,0.00010610652,0.0000019100848,0.0005898628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986947,0.000033115008,0.000013413822,0.000025614368,0.000032399577,0.000025843172],"domain_scores_gemma":[0.9992434,0.00021824833,0.00029235895,0.000047714046,0.00008126858,0.00011712825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916427,0.00019526093,0.00023695065,0.00042145155,0.000262518,0.0005077324,0.00021910794,0.00040148065,0.0017152792],"category_scores_gemma":[0.002026336,0.0002863756,0.00029965318,0.0006116661,0.00024130433,0.00016762892,0.0001977182,0.0005035549,0.00016459379],"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":[0.00062596216,0.00004979566,0.9931293,0.000029731002,0.00012595655,0.00015152367,0.00008700857,0.000037839753,0.0017471232,0.000046749083,0.00013783315,0.0038310639],"study_design_scores_gemma":[0.000010569947,0.000052716943,0.9991478,0.0000059397294,0.000048452293,0.00022506928,0.00006645128,0.00011848662,0.00010045314,0.00004850176,0.0001734025,0.000002176073],"about_ca_topic_score_codex":0.0076345652,"about_ca_topic_score_gemma":0.009877225,"teacher_disagreement_score":0.0076345652,"about_ca_system_score_codex":0.00021262851,"about_ca_system_score_gemma":0.00024040688,"threshold_uncertainty_score":0.01518029},"labels":[],"label_agreement":null},{"id":"W2756510003","doi":"10.2196/resprot.8007","title":"Educational Module Intervention for Radiographers to Reduce Repetition Rate of Routine Digital Chest Radiography in Makkah Region of Saudi Arabia Tertiary Hospitals: Protocol of a Quasi-Experimental Study","year":2017,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Radiography; Repetition (rhetorical device); Intervention (counseling); Protocol (science); Medical physics; Physical therapy; Surgery; Nursing","score_opus":0.10548875218746631,"score_gpt":0.49840986395677006,"score_spread":0.3929211117693038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756510003","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26440018,0.00026468775,0.0015422921,0.00039876087,0.00027079365,0.73126954,0.00062199135,0.000055055214,0.0011767519],"genre_scores_gemma":[0.08514491,0.00048366256,0.008618231,0.00057268713,0.00013453003,0.90266764,0.00024486647,0.000004500507,0.0021288868],"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99635637,0.0015412958,0.00038995827,0.00042521677,0.00053615996,0.0007510051],"domain_scores_gemma":[0.9965932,0.00080886134,0.0005786962,0.00024885085,0.00077708694,0.000993263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070089707,0.0017522516,0.0030383333,0.0013697234,0.00223784,0.0009871264,0.0020891093,0.0029156613,0.017099233],"category_scores_gemma":[0.0050783046,0.0014933521,0.0018852089,0.0006400955,0.0014185706,0.0008524935,0.0010435162,0.0025252767,0.001613509],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.13779712,0.7370109,0.009103485,0.013242766,0.0004448276,0.0007803432,0.0062347017,0.002280471,0.012074464,0.0016163213,0.004506475,0.07490805],"study_design_scores_gemma":[0.21496259,0.6789164,0.06386462,0.0020746486,0.00073309534,0.00016514736,0.0064093517,0.0017041621,0.006112176,0.0011374778,0.023699133,0.00022112865],"about_ca_topic_score_codex":0.0023719277,"about_ca_topic_score_gemma":0.004310382,"teacher_disagreement_score":0.017099233,"about_ca_system_score_codex":0.002279543,"about_ca_system_score_gemma":0.009575137,"threshold_uncertainty_score":0.057202637},"labels":[],"label_agreement":null},{"id":"W2775553964","doi":"10.1002/mp.12718","title":"Report of <scp>AAPM</scp> Task Group 162: Software for planar image quality metrology","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Task group; Image quality; Metrology; Computer science; Software; Task (project management); Medical physics; Group (periodic table); Quality (philosophy); Physics; Image (mathematics); Optics; Engineering; Computer vision; Systems engineering; Operating system; Engineering management","score_opus":0.024934255388924558,"score_gpt":0.32389378751550696,"score_spread":0.2989595321265824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775553964","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012617959,0.003187482,0.6649981,0.00806596,0.007511311,0.010037097,0.045545,0.07220434,0.17583266],"genre_scores_gemma":[0.039427426,0.0054361788,0.5738846,0.0036215745,0.003033976,0.012067328,0.14813791,0.032029502,0.1823615],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98402655,0.002914387,0.0010341946,0.00084689265,0.01042122,0.00075667014],"domain_scores_gemma":[0.9605932,0.0051235296,0.0026104306,0.0061161406,0.0234063,0.0021503752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019210318,0.0028005315,0.001281369,0.006284909,0.0018984068,0.0044590505,0.0042427597,0.003693365,0.040334288],"category_scores_gemma":[0.02673681,0.0012900855,0.001316013,0.0032705937,0.001348404,0.0024866136,0.003110268,0.0029322335,0.07160624],"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":[0.00032726262,0.00044986795,0.0019294414,0.0013510447,0.00007347366,0.00034919733,0.00027557134,0.0062745833,0.026551671,0.012354775,0.74900246,0.20106071],"study_design_scores_gemma":[0.0001026028,0.0004586146,0.0038673347,0.00054575485,0.000047880156,0.00057639193,0.000092771465,0.009203078,0.037493836,0.005318417,0.9421535,0.00013984542],"about_ca_topic_score_codex":0.0077720922,"about_ca_topic_score_gemma":0.0045896745,"teacher_disagreement_score":0.040334288,"about_ca_system_score_codex":0.0022270088,"about_ca_system_score_gemma":0.012473912,"threshold_uncertainty_score":0.13493162},"labels":[],"label_agreement":null},{"id":"W2777351449","doi":"","title":"Monitor Image Quality Assurance at the University Health Network","year":2017,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network","funders":"","keywords":"Quality assurance; Quality (philosophy); Computer science; Business; Marketing","score_opus":0.021181633401809064,"score_gpt":0.30176298474964325,"score_spread":0.2805813513478342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777351449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39105472,0.0033963267,0.13090299,0.036549494,0.0016823575,0.004023643,0.011925862,0.040398344,0.38006622],"genre_scores_gemma":[0.7619204,0.0016753599,0.0655605,0.0028470417,0.0013164005,0.0010930748,0.0044499775,0.0033857084,0.15775159],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943721,0.0017632364,0.0002890567,0.0005741134,0.0026396827,0.00036161873],"domain_scores_gemma":[0.9726002,0.007301854,0.0032180273,0.0029599583,0.010926512,0.0029934912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006577924,0.00052717054,0.0004445223,0.0026214335,0.0011440912,0.0022873722,0.0010630225,0.0008209892,0.060276937],"category_scores_gemma":[0.024146602,0.0003236117,0.00018725262,0.0012589637,0.00030618848,0.0013563405,0.0016050081,0.0009529206,0.013938398],"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":[0.00088875106,0.0007436887,0.123545535,0.0001332352,0.00005944094,0.00016697435,0.0005464268,0.0020100204,0.012336116,0.0020244177,0.17713599,0.6804094],"study_design_scores_gemma":[0.00033432295,0.0014216654,0.3208264,0.00023983594,0.00017421896,0.00094811275,0.0013495733,0.07030206,0.069723934,0.004103518,0.5304054,0.00017091219],"about_ca_topic_score_codex":0.0050273524,"about_ca_topic_score_gemma":0.005455543,"teacher_disagreement_score":0.060276937,"about_ca_system_score_codex":0.0021178902,"about_ca_system_score_gemma":0.0030889853,"threshold_uncertainty_score":0.20164645},"labels":[],"label_agreement":null},{"id":"W2781822205","doi":"10.1117/1.jmi.4.4.045501","title":"Comparing search patterns in digital breast tomosynthesis and full-field digital mammography: an eye tracking study","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Cancer Institute; National Institute of Biomedical Imaging and Bioengineering; National Eye Institute","keywords":"Medicine; Digital Breast Tomosynthesis; Visual search; Computer vision; Saccadic masking; Digital mammography; Eye movement; Mammography; Radiology; Artificial intelligence; Medical physics; Computer science; Breast cancer; Ophthalmology","score_opus":0.023568319761162044,"score_gpt":0.33246538219919797,"score_spread":0.30889706243803594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781822205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939954,0.00009582885,0.00024217651,0.00000438364,0.0000013446477,0.000014077045,0.00004191482,0.0000040171717,0.00019671713],"genre_scores_gemma":[0.9990445,0.00005926637,0.00045328916,0.00001425697,0.000005145796,0.000015318547,0.00011551423,0.0000061687633,0.00028653265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913555,0.00026175714,0.00014123754,0.00015933858,0.00019340558,0.00010867078],"domain_scores_gemma":[0.99028975,0.006150754,0.0016821609,0.000484351,0.0009942868,0.00039880667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012102472,0.00022555911,0.00029315782,0.0019826528,0.00016423024,0.00033475822,0.00020805701,0.0005015858,0.0010079013],"category_scores_gemma":[0.011897263,0.00019671422,0.00030383715,0.0007431032,0.00031771348,0.00072258565,0.00037784586,0.0001529466,0.00027576694],"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":[0.0060427515,0.0007206068,0.9158878,0.00021410668,0.00030911193,0.0013547073,0.0029534046,0.0006074539,0.031012561,0.0001285744,0.00025939074,0.04050956],"study_design_scores_gemma":[0.00005109825,0.0020060346,0.99123377,0.000011107954,0.00008060655,0.0019188966,0.0006304754,0.001847777,0.0018784547,0.00006236572,0.000256345,0.00002300584],"about_ca_topic_score_codex":0.0040484276,"about_ca_topic_score_gemma":0.0044837017,"teacher_disagreement_score":0.0040484276,"about_ca_system_score_codex":0.00033097022,"about_ca_system_score_gemma":0.00022458546,"threshold_uncertainty_score":0.0080497265},"labels":[],"label_agreement":null},{"id":"W2791979376","doi":"10.1002/ijc.31370","title":"MRI background parenchymal enhancement, breast density and serum hormones in postmenopausal women","year":2018,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"National Cancer Institute","keywords":"Breast cancer; Medicine; Hormone; Estrone; Estrogen; Magnetic resonance imaging; Endocrinology; Internal medicine; Parenchyma; Menopause; Breast MRI; Cancer; Physiology; Pathology; Mammography; Radiology","score_opus":0.009587837108130427,"score_gpt":0.30487789690750705,"score_spread":0.2952900597993766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791979376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610656,0.0028203262,0.000041893414,0.00006625021,0.000005135892,0.000010464317,0.00019342665,0.0000020779853,0.00075376616],"genre_scores_gemma":[0.9988819,0.000678728,0.00008110139,0.00003510329,0.000011213374,0.000009035643,0.00009735852,8.033568e-7,0.00020476301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998983,0.00003087748,0.000009856188,0.000020581823,0.000024749306,0.000015500087],"domain_scores_gemma":[0.9997547,0.00006330884,0.00009927267,0.000014525763,0.000026205262,0.000041984338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002642613,0.00013586626,0.00020235716,0.0003417268,0.00014906161,0.0002638562,0.0001361325,0.0002128226,0.0007900625],"category_scores_gemma":[0.0013433273,0.00012501357,0.00012872266,0.00045550603,0.00019042986,0.0001429617,0.00017685995,0.00021782337,0.00015056353],"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":[0.0004948749,0.000057344732,0.9935753,0.000044341996,0.00004816116,0.00016459801,0.00011965206,0.00002260243,0.0010774884,0.000019919997,0.000097491065,0.004278241],"study_design_scores_gemma":[0.000007942466,0.00018990212,0.99893194,0.000006804367,0.000021852356,0.0004315482,0.00009068674,0.000030988373,0.00007055124,0.000023733655,0.00019271026,0.000001305488],"about_ca_topic_score_codex":0.002549491,"about_ca_topic_score_gemma":0.0024242257,"teacher_disagreement_score":0.002549491,"about_ca_system_score_codex":0.00013790926,"about_ca_system_score_gemma":0.00013138913,"threshold_uncertainty_score":0.005069256},"labels":[],"label_agreement":null},{"id":"W2792126790","doi":"10.1186/s13058-018-0941-y","title":"The origins of breast cancer associated with mammographic density: a testable biological hypothesis","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Hospital for Sick Children; University of Toronto; Princess Margaret Cancer Centre; BC Cancer Agency; Health Sciences Centre; Cancer Care Ontario; Sunnybrook Health Science Centre","funders":"National Cancer Institute; National Institutes of Health; Ontario Ministry of Health and Long-Term Care; Canadian Breast Cancer Research Alliance","keywords":"Breast cancer; Population; Carcinogenesis; Medicine; Oncology; Cancer; Cancer research; Biology; Pathology; Internal medicine","score_opus":0.06506357745363882,"score_gpt":0.3461668547721797,"score_spread":0.28110327731854085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792126790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263667,0.007861289,0.045542385,0.008842749,0.00015852579,0.00014536687,0.0006115868,0.00012772378,0.0103437025],"genre_scores_gemma":[0.9939959,0.0011011437,0.0036685138,0.00042028743,0.00015054058,0.000059549006,0.00015611522,0.000008386452,0.00043965314],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983187,0.0006020194,0.00007798951,0.0004909078,0.00033715556,0.00017332703],"domain_scores_gemma":[0.9903426,0.0060895686,0.0018676494,0.00078158244,0.0005402028,0.00037832616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034503215,0.0006177724,0.0005256422,0.0017138532,0.0005709368,0.0012379126,0.0016740119,0.0017020077,0.0021249207],"category_scores_gemma":[0.007982072,0.0003641142,0.00077997416,0.00083686545,0.0041727917,0.0015279368,0.0013997697,0.00088602357,0.00031549495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011126681,0.0005392972,0.8841548,0.00062680646,0.00044293446,0.0016971398,0.00089692126,0.008345536,0.011336666,0.055042382,0.0007418003,0.035063047],"study_design_scores_gemma":[0.0002633822,0.0016987621,0.7657722,0.00017398625,0.00048805194,0.011220228,0.0020367715,0.046379413,0.009036181,0.15603234,0.0067285066,0.00017018439],"about_ca_topic_score_codex":0.0009898173,"about_ca_topic_score_gemma":0.00046875345,"teacher_disagreement_score":0.0034503215,"about_ca_system_score_codex":0.00079098524,"about_ca_system_score_gemma":0.0007248928,"threshold_uncertainty_score":0.018247247},"labels":[],"label_agreement":null},{"id":"W2793007601","doi":"10.1007/s10549-018-4737-7","title":"Mammographic non-dense area and breast cancer risk in postmenopausal women: a causal inference approach in a case–control study","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Queen's University; Spinal Cord Injury BC; University of British Columbia","funders":"University of British Columbia Graduate School; Canadian Institutes of Health Research; Canadian Cancer Society","keywords":"Quartile; Breast cancer; Medicine; Confounding; Akaike information criterion; Odds ratio; Statistics; Logistic regression; Case-control study; Population; Cancer; Gynecology; Demography; Internal medicine; Mathematics; Confidence interval; Environmental health","score_opus":0.028258391757759727,"score_gpt":0.33953881968694916,"score_spread":0.3112804279291894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793007601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698648,0.0037036678,0.023717782,0.00071831787,0.00023494652,0.00044830068,0.00039337963,0.00006024404,0.00085858116],"genre_scores_gemma":[0.9915127,0.00038386622,0.0067298864,0.00012929861,0.000109148896,0.00025320682,0.00020280242,0.000010504001,0.0006686419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97220415,0.0212072,0.0013791007,0.003494328,0.0007689054,0.0009463887],"domain_scores_gemma":[0.94933736,0.03959971,0.003199302,0.0062948926,0.0007535336,0.00081525306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03897539,0.0017190203,0.002813687,0.0019997414,0.002324936,0.0028043226,0.005132331,0.0044825785,0.0050417413],"category_scores_gemma":[0.058758605,0.0028509535,0.005844389,0.0016461075,0.0025522364,0.001951838,0.0021489921,0.0034845818,0.00037838912],"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":[0.033740308,0.006087141,0.8775718,0.0008501657,0.04632116,0.0033062673,0.002012707,0.0049782535,0.0026507357,0.0068399017,0.0008296927,0.014811897],"study_design_scores_gemma":[0.020906467,0.013699797,0.66186535,0.00056608877,0.106314644,0.0051179063,0.002889263,0.1593089,0.001737096,0.02485578,0.0023464398,0.00039228227],"about_ca_topic_score_codex":0.013855724,"about_ca_topic_score_gemma":0.0084806755,"teacher_disagreement_score":0.03897539,"about_ca_system_score_codex":0.00090639864,"about_ca_system_score_gemma":0.0014188531,"threshold_uncertainty_score":0.20612401},"labels":[],"label_agreement":null},{"id":"W2793717219","doi":"10.1002/mp.12756","title":"Monte Carlo analysis of beam blocking grid design parameters: Scatter estimation and the importance of electron backscatter","year":2018,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Monte Carlo method; Imaging phantom; Backscatter (email); Optics; Grid; Beam (structure); SIGNAL (programming language); Blocking (statistics); Cone beam computed tomography; Physics; Computer science; Geometry","score_opus":0.013676774681859252,"score_gpt":0.2690264704029863,"score_spread":0.25534969572112703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793717219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79907715,0.00043024894,0.198182,0.00008012992,0.000011978071,0.00006521266,0.00011265053,0.00035984005,0.0016807865],"genre_scores_gemma":[0.97015846,0.00007247885,0.029387461,0.000014113316,0.0000022396882,0.00003609396,0.00008527929,0.000048435453,0.00019540852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996551,0.00014358833,0.00001598394,0.00003431854,0.00012151461,0.00002941871],"domain_scores_gemma":[0.9961533,0.0027326802,0.00038899857,0.00019297327,0.00049681985,0.000035155175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013913262,0.0003483818,0.00032218423,0.00047495973,0.000255993,0.00036018275,0.00036802643,0.00038147735,0.0004147073],"category_scores_gemma":[0.004361299,0.00029350907,0.00031204976,0.00039626038,0.00031636268,0.00031756147,0.00021261006,0.00024236638,0.00007861581],"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":[0.00013446217,0.000031446525,0.007686328,0.00003523786,0.000029830271,0.000032043277,0.000027883709,0.98185974,0.004593747,0.0006028786,0.000076928474,0.0048895637],"study_design_scores_gemma":[0.000008163024,0.000027354297,0.0015440006,0.0000044284134,0.0000131682655,0.000019964831,0.0000052059972,0.9928548,0.005258491,0.00016091233,0.00009648825,0.0000069994912],"about_ca_topic_score_codex":0.0070326035,"about_ca_topic_score_gemma":0.004539078,"teacher_disagreement_score":0.0070326035,"about_ca_system_score_codex":0.0008399628,"about_ca_system_score_gemma":0.0007589766,"threshold_uncertainty_score":0.013983309},"labels":[],"label_agreement":null},{"id":"W2800317589","doi":"10.1016/j.carj.2017.12.003","title":"Mammography Clinical Image Quality and the False Positive Rate in a Canadian Breast Cancer Screening Program","year":2018,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","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":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Centre hospitalier universitaire de Québec; Université Laval; Institut National de Santé Publique du Québec","funders":"Canadian Institutes of Health Research; Health Canada; Canadian Breast Cancer Research Alliance; Breast Cancer Alliance","keywords":"Medicine; Mammography; Confidence interval; Poisson regression; Breast cancer screening; Confounding; Breast cancer; Rate ratio; Radiology; Cancer; Internal medicine; Population; Environmental health","score_opus":0.02383338152812922,"score_gpt":0.3561704583623399,"score_spread":0.33233707683421065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800317589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946508,0.0014026809,0.00024821877,0.00066227093,0.000011953958,0.000039929113,0.0010969026,0.000019318275,0.0018679452],"genre_scores_gemma":[0.9990491,0.00018927272,0.00016128838,0.000055811528,0.0000032228108,0.000004329679,0.00028884655,0.0000027662995,0.00024536616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812967,0.00027342633,0.00008779938,0.00021440386,0.0010598341,0.0002349286],"domain_scores_gemma":[0.9947149,0.00069488026,0.0017893778,0.00015105055,0.002098786,0.0005510213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014958931,0.00020371714,0.00021576213,0.0010391709,0.00075191224,0.0006345707,0.0010443929,0.0004542109,0.0016943751],"category_scores_gemma":[0.010643505,0.00022211013,0.0004183434,0.0014343119,0.00054236455,0.00021348945,0.00040992466,0.0005592491,0.000116118914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058960974,0.000016458787,0.9955842,0.000020401823,0.000048242433,0.000041742023,0.00010752753,0.000085798674,0.00006523579,0.000023678764,0.00040466964,0.0035430964],"study_design_scores_gemma":[0.0000034504242,0.000022747165,0.9992447,0.000013148864,0.00002264872,0.00007190345,0.00007959145,0.00030323336,0.000031282816,0.000007088986,0.00019621884,0.000003989833],"about_ca_topic_score_codex":0.9595191,"about_ca_topic_score_gemma":0.94075555,"teacher_disagreement_score":0.04048091,"about_ca_system_score_codex":0.010872991,"about_ca_system_score_gemma":0.00814143,"threshold_uncertainty_score":0.08143854},"labels":[],"label_agreement":null},{"id":"W2802728270","doi":"10.1007/s10278-018-0073-z","title":"DICOMweb™: Background and Application of the Web Standard for Medical Imaging","year":2018,"lang":"en","type":"review","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CARE Canada","funders":"Radiological Society of North America","keywords":"DICOM; Interoperability; Workflow; Computer science; Health care; Medical imaging; Open standard; World Wide Web; Data science; Multimedia; Database; Artificial intelligence; Political science","score_opus":0.021979514686614746,"score_gpt":0.3421417331777118,"score_spread":0.32016221849109705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802728270","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018982678,0.9825187,0.0020803628,0.00415038,0.00125272,0.000038658185,0.00006389224,0.00004024879,0.009665281],"genre_scores_gemma":[0.0022078748,0.98719585,0.0027950758,0.0029932,0.0017705944,0.0000759576,0.00015203237,0.000022149785,0.0027872378],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748397,0.00054757146,0.00049376226,0.00027399758,0.0010727203,0.00012802961],"domain_scores_gemma":[0.99420303,0.003322793,0.000572512,0.00025346948,0.0014496786,0.00019843355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035931484,0.0008382362,0.001037598,0.005671438,0.00076276803,0.0024747283,0.0017636108,0.0036160822,0.0047984836],"category_scores_gemma":[0.0069703115,0.00059726817,0.00095765106,0.0045163245,0.0027302592,0.004081608,0.0021329548,0.0041735787,0.0040714736],"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":[0.000041125808,0.00008316282,0.00038827988,0.015655506,0.000048489157,0.00040814758,0.000343446,0.00040748465,0.0011768559,0.04732376,0.051535517,0.8825882],"study_design_scores_gemma":[0.0000048575744,0.000031425116,0.0005445021,0.005119036,0.000022846545,0.0013880244,0.0000778058,0.000057394318,0.00042402674,0.005578914,0.98672765,0.000023571232],"about_ca_topic_score_codex":0.003345741,"about_ca_topic_score_gemma":0.0019784828,"teacher_disagreement_score":0.005671438,"about_ca_system_score_codex":0.001959755,"about_ca_system_score_gemma":0.004962982,"threshold_uncertainty_score":0.019002616},"labels":[],"label_agreement":null},{"id":"W2807074247","doi":"10.1186/s13058-018-0948-4","title":"The association of mammographic density with risk of contralateral breast cancer and change in density with treatment in the WECARE study","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; Memorial Sloan-Kettering Cancer Center","keywords":"Medicine; Breast cancer; Logistic regression; Odds ratio; Surgical oncology; Confidence interval; Internal medicine; Mammography; Cancer; Oncology","score_opus":0.02757020431571436,"score_gpt":0.3410942526902694,"score_spread":0.31352404837455505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807074247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990004,0.00040600356,0.000058920556,0.000055030672,0.000003289645,0.000009664509,0.00024436988,0.0000016944773,0.00022054273],"genre_scores_gemma":[0.9995395,0.00008698968,0.000052859214,0.000021686385,0.0000040477325,0.000008580859,0.00023393461,0.00000126346,0.00005107119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998796,0.0004484958,0.00011735448,0.00023949583,0.00025394783,0.00014462048],"domain_scores_gemma":[0.9972391,0.000628116,0.0012689357,0.00026705395,0.00031048985,0.00028630084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010813731,0.00018218569,0.00028504388,0.00085870706,0.0004164673,0.00060218625,0.0005286255,0.0003916154,0.0008326172],"category_scores_gemma":[0.0051570223,0.0002494767,0.00042405876,0.000982921,0.00039072303,0.00035756195,0.0005071727,0.00045742994,0.00007431234],"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":[0.00013974182,0.000021812195,0.99891675,0.000005732409,0.00004663993,0.000031300387,0.000051866915,0.000011276385,0.00007387251,0.00001320759,0.0000966871,0.00059104036],"study_design_scores_gemma":[0.000008146254,0.000034721623,0.99953616,0.0000044123594,0.000024596766,0.00011166571,0.000063371706,0.00005857025,0.00004944156,0.000010131442,0.00009688925,0.0000018744428],"about_ca_topic_score_codex":0.034168802,"about_ca_topic_score_gemma":0.03655144,"teacher_disagreement_score":0.034168802,"about_ca_system_score_codex":0.0007521574,"about_ca_system_score_gemma":0.0004333631,"threshold_uncertainty_score":0.06793988},"labels":[],"label_agreement":null},{"id":"W2824463549","doi":"10.1016/j.envres.2018.07.015","title":"Estimation of TETRA radio use in the Airwave Health Monitoring Study of the British police forces","year":2018,"lang":"en","type":"article","venue":"Environmental Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"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":"MRC-PHE Centre for Environment and Health; Medical Research Council Canada; Home Office; Medical Research Council; Alzheimer's Society","keywords":"Imputation (statistics); Cohort; Confidence interval; Medicine; Statistics; Missing data; Demography; Mathematics","score_opus":0.05714953476374617,"score_gpt":0.3673283420021576,"score_spread":0.3101788072384114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2824463549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993228,0.00006989342,0.00006195917,0.00002778816,0.0000021887931,0.0000054626785,0.00017950636,0.0000014223176,0.0003290528],"genre_scores_gemma":[0.99884063,0.000109178996,0.00008675668,0.000017623452,0.0000033845322,0.000011910122,0.000251119,0.0000035010187,0.0006760191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986082,0.0005761149,0.00009122028,0.00014958948,0.00027822485,0.00029671052],"domain_scores_gemma":[0.9985923,0.0003246807,0.00043018375,0.00011820862,0.00034909244,0.00018541327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080868637,0.00039460306,0.00034151052,0.0021243151,0.00103229,0.0010557928,0.00089087675,0.00077241234,0.0009702204],"category_scores_gemma":[0.0034331328,0.0006732608,0.00033447464,0.0022109887,0.00052450283,0.0006146403,0.0009611379,0.00074284436,0.00041366534],"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":[0.000072754,0.00004500225,0.99606967,0.000005959655,0.000025673658,0.000054519704,0.0013948535,0.000039628576,0.00039522408,0.000015318983,0.00009476133,0.0017867187],"study_design_scores_gemma":[8.147991e-7,0.000032985285,0.9988158,0.0000027349085,0.0000060284788,0.00003285274,0.00089993293,0.000057535643,0.00003063801,0.0000041892354,0.00011447437,0.000002073553],"about_ca_topic_score_codex":0.3185364,"about_ca_topic_score_gemma":0.38976297,"teacher_disagreement_score":0.3185364,"about_ca_system_score_codex":0.0011056626,"about_ca_system_score_gemma":0.00062175625,"threshold_uncertainty_score":0.6333646},"labels":[],"label_agreement":null},{"id":"W2885360465","doi":"10.1186/s13058-018-1026-7","title":"Long-term exposure to insulin and volumetric mammographic density: observational and genetic associations in the Karma study","year":2018,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"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 Cancer Institute; Canadian Institutes of Health Research; Ministero dello Sviluppo Economico; Cancerföreningen i Stockholm; Cancerfonden; European Commission; National Institutes of Health; Vetenskapsrådet; Cancer Research UK; Government of Canada; Fondation du cancer du sein du Québec; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Genome Canada","keywords":"Medicine; Insulin; Internal medicine; Diabetes mellitus; Breast cancer; Type 2 diabetes; Insulin glargine; Confounding; Oncology; Type 1 diabetes; Endocrinology; Cancer","score_opus":0.08472643792976908,"score_gpt":0.38890367936063613,"score_spread":0.30417724143086705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885360465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753666,0.0008560024,0.00010558194,0.00011877169,0.000012089171,0.000009440824,0.0010478472,0.000006548386,0.0003069641],"genre_scores_gemma":[0.99854624,0.0003337129,0.000107448504,0.00005322461,0.000019042032,0.000019889341,0.0007883834,0.0000037877098,0.00012831517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906665,0.00028886102,0.000094033145,0.00028028144,0.00011833539,0.00015181687],"domain_scores_gemma":[0.9979937,0.00039502908,0.0007472071,0.00035671014,0.00016715223,0.00034019537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013776205,0.0004650508,0.0005686138,0.0009833974,0.00061018305,0.0011935942,0.001198344,0.0010454745,0.0016616026],"category_scores_gemma":[0.003188434,0.00066168926,0.0010119665,0.0023598594,0.00050280185,0.00043009067,0.0011509483,0.0011994924,0.00024835154],"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":[0.000565291,0.00004871591,0.99725866,0.000025048525,0.0005459272,0.00011324207,0.00010410334,0.00006103775,0.00022863924,0.000053745345,0.0002781511,0.00071736454],"study_design_scores_gemma":[0.000064382875,0.000059001537,0.99871194,0.000015675445,0.00029714798,0.00015608442,0.00014651034,0.00021227058,0.00003435551,0.00006394193,0.00022963744,0.000009037588],"about_ca_topic_score_codex":0.02469488,"about_ca_topic_score_gemma":0.018870786,"teacher_disagreement_score":0.02469488,"about_ca_system_score_codex":0.0005545103,"about_ca_system_score_gemma":0.00063501997,"threshold_uncertainty_score":0.049102306},"labels":[],"label_agreement":null},{"id":"W2887188207","doi":"10.1016/j.acra.2018.06.011","title":"Prediction of Cancer Masking in Screening Mammography Using Density and Textural Features","year":2018,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Masking (illustration); Mammography; Medicine; Confidence interval; Breast cancer; Receiver operating characteristic; Multivariate statistics; Logistic regression; Density estimation; Cancer; Pattern recognition (psychology); Statistics; Artificial intelligence; Mathematics; Computer science; Internal medicine","score_opus":0.0296626673613417,"score_gpt":0.3062884094902014,"score_spread":0.2766257421288597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887188207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99657637,0.0002442766,0.0027015794,0.000047959507,0.000011905027,0.000012622526,0.000068946596,0.000029947707,0.0003064172],"genre_scores_gemma":[0.99854565,0.000069737434,0.0011619214,0.000009280766,0.000012112021,0.0000034178383,0.00007264289,0.0000031722664,0.00012214627],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996797,0.00010824183,0.00003559677,0.000040853956,0.00008846277,0.0000472353],"domain_scores_gemma":[0.9962748,0.0024807635,0.00053246366,0.0001425982,0.00031083342,0.00025865165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001237335,0.0005439304,0.00038456256,0.0011091786,0.0002126054,0.0006914005,0.00029539305,0.0006640694,0.0007227682],"category_scores_gemma":[0.007975792,0.00026411645,0.00046135904,0.00023273587,0.00021969622,0.00038314326,0.0005280567,0.00026021546,0.00024558738],"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":[0.005732079,0.00025712678,0.92905885,0.00007314142,0.0001578475,0.0004527199,0.000121222714,0.004924742,0.025783557,0.00016107963,0.0002012073,0.033076417],"study_design_scores_gemma":[0.00006133817,0.0013633583,0.85971886,0.000042399464,0.00045641532,0.0014669083,0.00023679259,0.11857629,0.017030234,0.00059038005,0.00041737882,0.000039671468],"about_ca_topic_score_codex":0.0013066765,"about_ca_topic_score_gemma":0.0013190755,"teacher_disagreement_score":0.0013066765,"about_ca_system_score_codex":0.0001865661,"about_ca_system_score_gemma":0.00029695255,"threshold_uncertainty_score":0.006543696},"labels":[],"label_agreement":null},{"id":"W2891971040","doi":"10.1158/1055-9965.epi-18-0036","title":"Circulating Growth and Sex Hormone Levels and Breast Tissue Composition in Young Nulliparous Women","year":2018,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"Medical Research Council; FP7 Information and Communication Technologies; University of Bristol; European Commission; King's College London; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; Cancer Research UK; Wellcome Trust","keywords":"Sex hormone-binding globulin; Endocrinology; Internal medicine; Estrone; Hormone; Testosterone (patch); Prolactin; Medicine; Insulin-like growth factor; Body mass index; Androstenedione; Androgen; Growth factor; Receptor","score_opus":0.02779409461076349,"score_gpt":0.33229963433401905,"score_spread":0.30450553972325556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891971040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935573,0.0002802,0.000035043933,0.000012729029,0.0000021757828,0.000002243281,0.00019316615,0.0000012536339,0.00011741118],"genre_scores_gemma":[0.9995189,0.00009506726,0.000062681625,0.000013019549,0.0000028835027,0.0000032357084,0.00017637986,6.7885924e-7,0.00012725045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998616,0.000036397432,0.000014625932,0.000031280077,0.000034578414,0.000021530755],"domain_scores_gemma":[0.99926406,0.00018268553,0.0003337471,0.00004204581,0.00006704333,0.0001103906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035721165,0.00017382833,0.00023086545,0.00042823786,0.00017070993,0.00029366807,0.00018342586,0.0002279507,0.0010750387],"category_scores_gemma":[0.0012117536,0.00018246697,0.00023473597,0.00040491144,0.00015857405,0.00016169684,0.00018370924,0.00023373611,0.00018366754],"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":[0.00004834464,0.000007283046,0.9991788,0.0000038539347,0.000019066638,0.000026895323,0.000025219764,0.0000064888795,0.0002752784,0.0000027027522,0.000011424899,0.0003945816],"study_design_scores_gemma":[0.0000015208703,0.000055152614,0.99962544,0.0000017264053,0.00000920779,0.00011535093,0.00006360655,0.00003378254,0.000045961646,0.0000040850705,0.000043433563,7.537181e-7],"about_ca_topic_score_codex":0.0042774263,"about_ca_topic_score_gemma":0.0038762174,"teacher_disagreement_score":0.0042774263,"about_ca_system_score_codex":0.00013417721,"about_ca_system_score_gemma":0.00013366272,"threshold_uncertainty_score":0.008505106},"labels":[],"label_agreement":null},{"id":"W2897867911","doi":"10.1016/s1470-2045(18)30589-8","title":"Towards improving accuracy, effectiveness, and efficiency in breast cancer screening","year":2018,"lang":"en","type":"letter","venue":"The Lancet Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Breast cancer screening; Cancer; Medical physics; Computer science; Oncology; Internal medicine; Mammography","score_opus":0.02638061643442126,"score_gpt":0.3265582997418236,"score_spread":0.30017768330740235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897867911","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000223798,0.0024415117,0.00019893714,0.99281937,0.00319572,0.000004656279,0.000022859178,0.000015024162,0.001078102],"genre_scores_gemma":[0.007900253,0.0040634256,0.0011872533,0.93682474,0.048121437,0.00003246428,0.00004146443,0.000037428425,0.0017915617],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.972388,0.011505039,0.00328881,0.0017063586,0.0096755875,0.0014362158],"domain_scores_gemma":[0.7792692,0.17347533,0.007913563,0.003729519,0.02848274,0.007129682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026449379,0.0006904201,0.002011098,0.0015085592,0.0020423662,0.005337408,0.0026779782,0.04720163,0.010179464],"category_scores_gemma":[0.20724115,0.00080797344,0.0012585326,0.0013416089,0.005500396,0.009066087,0.0033013066,0.047295336,0.007767475],"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":[0.0002428895,0.00012598226,0.0034675812,0.00035693354,0.00006993656,0.0006000415,0.00023203748,0.0002459425,0.00040523626,0.014216607,0.87830615,0.101730734],"study_design_scores_gemma":[0.0005885357,0.00043419658,0.006126165,0.0020808806,0.00017301134,0.0026598147,0.0008404428,0.0018078748,0.0009370105,0.067119494,0.9170689,0.00016370733],"about_ca_topic_score_codex":0.00512724,"about_ca_topic_score_gemma":0.007710762,"teacher_disagreement_score":0.04720163,"about_ca_system_score_codex":0.007797126,"about_ca_system_score_gemma":0.007600638,"threshold_uncertainty_score":0.13987935},"labels":[],"label_agreement":null},{"id":"W2909133176","doi":"10.1002/mp.13372","title":"Investigating energy deposition in glandular tissues for mammography using multiscale Monte Carlo simulations","year":2019,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Monte Carlo method; Mammography; Energy (signal processing); Deposition (geology); Medical physics; Statistical physics; Computational physics; Materials science; Physics; Computer science; Medicine; Breast cancer; Statistics; Mathematics; Geology; Cancer","score_opus":0.0166244770908255,"score_gpt":0.2806338624490885,"score_spread":0.264009385358263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909133176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49213856,0.0016479517,0.4965277,0.000492568,0.000038269496,0.00010290734,0.00040123364,0.0004917419,0.008159057],"genre_scores_gemma":[0.95200336,0.000590831,0.045781475,0.000103554026,0.000013951838,0.000097017815,0.00017401132,0.00010857244,0.0011272256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986124,0.000034902227,0.0000052760747,0.000027480895,0.000050445225,0.0000206818],"domain_scores_gemma":[0.9994469,0.00035230382,0.00008627263,0.00003737132,0.000045460667,0.000031587762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040608947,0.00041872144,0.0004899928,0.00035773223,0.0002604078,0.0005919275,0.0005499332,0.00093293504,0.0010546377],"category_scores_gemma":[0.0016780036,0.00034742942,0.00065762736,0.00042454732,0.00041861786,0.0003978126,0.00047968893,0.0003404162,0.00017577037],"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":[0.00002445129,0.000017354376,0.0017153616,0.000058826234,0.000032245738,0.000092190945,0.000037272282,0.9805015,0.012733482,0.0027089114,0.00008347922,0.0019950005],"study_design_scores_gemma":[0.0000048290763,0.000011832563,0.0006928966,0.0000069310277,0.000008363341,0.00003061635,0.0000066608145,0.99647754,0.0015733165,0.00083958555,0.0003414009,0.0000059887875],"about_ca_topic_score_codex":0.007159317,"about_ca_topic_score_gemma":0.004166274,"teacher_disagreement_score":0.007159317,"about_ca_system_score_codex":0.0012133913,"about_ca_system_score_gemma":0.00078712235,"threshold_uncertainty_score":0.014235318},"labels":[],"label_agreement":null},{"id":"W2921718273","doi":"10.1016/j.carj.2018.10.007","title":"Screening Sensitivity According to Breast Cancer Location","year":2019,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Hôpital Maisonneuve-Rosemont; Hôpital du Saint-Sacrement; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Confidence interval; Breast cancer; Mammography; Breast cancer screening; Cancer; Logistic regression; Body mass index; Breast density; Internal medicine; Gynecology; Obstetrics","score_opus":0.009720246602067698,"score_gpt":0.2545418927192797,"score_spread":0.244821646117212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921718273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920872,0.0033764332,0.0016022837,0.00017136235,0.00001844437,0.000038581078,0.00074024755,0.000065279,0.0019001387],"genre_scores_gemma":[0.99922276,0.00015623205,0.00025587267,0.00002957998,0.000007556145,0.000005793155,0.00014919955,0.000004267256,0.00016873263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735665,0.0011048287,0.00017059462,0.00051556993,0.0005971203,0.00025533442],"domain_scores_gemma":[0.981546,0.010729607,0.00486281,0.0008476011,0.0014517842,0.0005623357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026019611,0.00038850456,0.00052111223,0.0015842853,0.00016084906,0.00060229097,0.00053194095,0.00048468716,0.0018586825],"category_scores_gemma":[0.019362425,0.000366764,0.0008893628,0.00093839096,0.00054702075,0.00039025064,0.0005357455,0.00037576316,0.0002972749],"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":[0.00010430177,0.0000041157873,0.99630404,0.000023566501,0.00010056666,0.00008733967,0.000023521507,0.00030358744,0.0002629699,0.000009903693,0.00007214555,0.0027039854],"study_design_scores_gemma":[0.0000033639162,0.000059938648,0.9978498,0.000017832337,0.000070932045,0.00062317745,0.000023528004,0.0009472459,0.00023616677,0.000029565206,0.00013127699,0.0000071142217],"about_ca_topic_score_codex":0.018682467,"about_ca_topic_score_gemma":0.01613939,"teacher_disagreement_score":0.018682467,"about_ca_system_score_codex":0.0005949657,"about_ca_system_score_gemma":0.0002946867,"threshold_uncertainty_score":0.037147462},"labels":[],"label_agreement":null},{"id":"W2922190918","doi":"10.1093/aje/kwz033","title":"Reproductive Factors and Mammographic Density: Associations Among 24,840 Women and Comparison of Studies Using Digitized Film-Screen Mammography and Full-Field Digital Mammography","year":2019,"lang":"en","type":"review","venue":"American Journal of Epidemiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":43,"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 Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute; School of Medicine, Stanford University; UnitedHealth Group; Kaiser Permanente","keywords":"Mammography; Digital mammography; Medicine; Breast cancer; MAMMOGRAPHIC DENSITY; Breast cancer screening; Obstetrics; Gynecology; Medical physics; Cancer; Internal medicine","score_opus":0.09712982603093263,"score_gpt":0.3904704574118707,"score_spread":0.2933406313809381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922190918","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6672111,0.3183881,0.0061616427,0.0007015673,0.00027025086,0.00049358694,0.005377485,0.00007036092,0.0013258012],"genre_scores_gemma":[0.98154676,0.0129965795,0.0028352698,0.00031840344,0.00010684258,0.00054276397,0.0013976004,0.000023944203,0.00023194784],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.98493564,0.006460092,0.004552176,0.0024389583,0.0012520336,0.00036127598],"domain_scores_gemma":[0.9730766,0.01840287,0.0054904283,0.0016630936,0.0011119206,0.00025513244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020089025,0.0009384307,0.0028889312,0.004413211,0.00053246145,0.0018727776,0.0012695688,0.0012810463,0.0017334677],"category_scores_gemma":[0.040905237,0.0009246053,0.010728905,0.00700763,0.0006354234,0.0012633638,0.0015002699,0.0008630986,0.00014383777],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044918517,0.00010402298,0.6410261,0.018888637,0.31564122,0.00032282324,0.0005914189,0.0009770178,0.0013167564,0.00026503735,0.0005662559,0.01580896],"study_design_scores_gemma":[0.0014921036,0.0007801146,0.6770464,0.004064283,0.3086333,0.0006861691,0.0005839853,0.0013128252,0.0008388402,0.0007659048,0.0036973122,0.0000987239],"about_ca_topic_score_codex":0.0057927035,"about_ca_topic_score_gemma":0.00762051,"teacher_disagreement_score":0.020089025,"about_ca_system_score_codex":0.0004640832,"about_ca_system_score_gemma":0.00061110815,"threshold_uncertainty_score":0.10624224},"labels":[],"label_agreement":null},{"id":"W2929313356","doi":"10.1089/tmj.2018.0328","title":"Mobile Screening Units for the Early Detection of Breast Cancer and Cardiovascular Disease: A Pilot Telemedicine Study in Southern Italy","year":2019,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Casa","funders":"","keywords":"Medicine; Telemedicine; Breast cancer; Breast cancer screening; Disease; Cancer; Mammography; Internal medicine; Health care","score_opus":0.02735912484089859,"score_gpt":0.2893364198587152,"score_spread":0.26197729501781664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929313356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995409,0.000029613562,0.00003756279,0.000033254106,0.0000023715183,0.0001088706,0.000038769027,0.000002281337,0.00020640789],"genre_scores_gemma":[0.9990884,0.00006535736,0.00018214081,0.000083488405,0.000022025979,0.00020133499,0.00010170567,0.0000023104465,0.00025321648],"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","domain_scores_codex":[0.99909496,0.00046974164,0.000028638851,0.00012391014,0.00007902495,0.0002036997],"domain_scores_gemma":[0.99851197,0.00038301534,0.0002833481,0.000121718425,0.00013504172,0.00056493044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016257261,0.0007736377,0.0004654464,0.0010549217,0.0007471994,0.00060418685,0.00046289826,0.0009492845,0.0025524707],"category_scores_gemma":[0.0028448517,0.0005921185,0.0006275462,0.0007912548,0.0007104374,0.00054562965,0.0007756253,0.00053648854,0.00061967236],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002698699,0.009990891,0.96503633,0.0001393728,0.00009930628,0.0016629896,0.007818101,0.00017801588,0.0030146039,0.00009637522,0.00061599986,0.008649337],"study_design_scores_gemma":[0.00056372135,0.009247256,0.98610514,0.000023313825,0.00007663237,0.0004312931,0.0024370176,0.00038968786,0.00011814406,0.000035291603,0.00055608095,0.000016574224],"about_ca_topic_score_codex":0.013153258,"about_ca_topic_score_gemma":0.013162042,"teacher_disagreement_score":0.013153258,"about_ca_system_score_codex":0.00078824634,"about_ca_system_score_gemma":0.0012656117,"threshold_uncertainty_score":0.026153386},"labels":[],"label_agreement":null},{"id":"W2944647950","doi":"10.1093/jbi/wbz006","title":"A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model","year":2019,"lang":"en","type":"article","venue":"Journal of Breast Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":58,"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","funders":"Congressionally Directed Medical Research Programs; Cancer Research UK","keywords":"Medicine; Breast cancer; MAMMOGRAPHIC DENSITY; Cancer; Mammography; Internal medicine","score_opus":0.014000878587672051,"score_gpt":0.3070791722423752,"score_spread":0.2930782936547031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944647950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925013,0.0005697104,0.0059499773,0.000051319286,0.000070321774,0.00015698026,0.00024228537,0.000031268875,0.0004268871],"genre_scores_gemma":[0.99722904,0.00007909686,0.0020691426,0.00003462381,0.00003626008,0.00009427276,0.0002842632,0.0000071640898,0.00016613009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9924615,0.004589876,0.0004472783,0.0017708563,0.0005481924,0.00018217009],"domain_scores_gemma":[0.97646004,0.015037752,0.0021884015,0.004296401,0.0015718242,0.0004456586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015405395,0.0010651478,0.0008060398,0.0010577464,0.00071359775,0.0013165202,0.0014642314,0.001043805,0.0023064634],"category_scores_gemma":[0.033013895,0.0008651171,0.0012112488,0.0007607304,0.00055889954,0.0007102299,0.00064308866,0.0010823049,0.0003179495],"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":[0.0066090957,0.0006713238,0.9820478,0.00010377942,0.0023432204,0.0004128747,0.00018605888,0.00080348423,0.0010037282,0.00045888292,0.0003918137,0.004968026],"study_design_scores_gemma":[0.003496757,0.012755427,0.9014168,0.000119442106,0.007102392,0.0036982496,0.0004050588,0.06390172,0.0020490356,0.0017827492,0.0031433245,0.00012907555],"about_ca_topic_score_codex":0.0032304279,"about_ca_topic_score_gemma":0.0014402501,"teacher_disagreement_score":0.015405395,"about_ca_system_score_codex":0.00043905788,"about_ca_system_score_gemma":0.00038095057,"threshold_uncertainty_score":0.081472516},"labels":[],"label_agreement":null},{"id":"W29500742","doi":"10.1016/j.rcl.2014.01.003","title":"Digital Tomosynthesis","year":2014,"lang":"en","type":"review","venue":"Radiologic Clinics of North America","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Tomosynthesis; Medicine; Digital Breast Tomosynthesis; Digital mammography; Mammography; Projection (relational algebra); Image quality; Nuclear medicine; Detector; Medical physics; Noise (video); Computer vision; Optics; Computer science; Image (mathematics); Physics; Breast cancer; Algorithm","score_opus":0.03790776422415037,"score_gpt":0.33359799327882983,"score_spread":0.29569022905467945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29500742","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022981351,0.9955545,0.00016724263,0.00020672302,0.00019289735,0.00000999193,0.000042149797,0.000017185655,0.0035794443],"genre_scores_gemma":[0.0025785665,0.994221,0.00047831217,0.0007064043,0.00033150334,0.000009758852,0.00011172217,0.0000038288886,0.0015590802],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997062,0.000044119086,0.00005819467,0.000080658334,0.00008679295,0.0000240476],"domain_scores_gemma":[0.9992654,0.00031547694,0.00015835094,0.000034792516,0.00016943498,0.000056622892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004529007,0.0010457524,0.0013388883,0.0057563754,0.00035229465,0.001239486,0.00069600873,0.000976474,0.009888003],"category_scores_gemma":[0.0019697656,0.0004140054,0.0005436546,0.004469324,0.0006542061,0.0015904738,0.00096183625,0.0013589647,0.0036151956],"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":[0.00005537579,0.000050047707,0.00073771045,0.01351597,0.00010569446,0.000668645,0.000043957345,0.00011090457,0.0011010056,0.0005770238,0.029028445,0.95400536],"study_design_scores_gemma":[0.00007936236,0.00012156304,0.007033078,0.01418884,0.00089236104,0.020320544,0.00020533994,0.000118774115,0.0011071783,0.0011608109,0.9547211,0.000051076608],"about_ca_topic_score_codex":0.0018513147,"about_ca_topic_score_gemma":0.004827586,"teacher_disagreement_score":0.009888003,"about_ca_system_score_codex":0.0005527818,"about_ca_system_score_gemma":0.0014188855,"threshold_uncertainty_score":0.03307861},"labels":[],"label_agreement":null},{"id":"W2953508913","doi":"10.1186/s12885-019-5855-2","title":"Predictors of mammographic density among women with a strong family history of breast cancer","year":2019,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Princess Margaret Cancer Centre; University of Toronto; University Health Network; Sinai Health System; Sunnybrook Health Science Centre; McMaster University; Cancer Care Ontario; Women's College Hospital","funders":"","keywords":"Medicine; MAMMOGRAPHIC DENSITY; Breast cancer; Family history; Obstetrics; Gynecology; Surgical oncology; Demography; Risk factors for breast cancer; Mammography; Cancer; Risk factor; Oncology; Internal medicine","score_opus":0.00826753379718619,"score_gpt":0.21114919409926214,"score_spread":0.20288166030207594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953508913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991598,0.0002141126,0.00005419059,0.000043049655,0.000003241945,0.000004913596,0.0001858893,0.0000031771187,0.00033165005],"genre_scores_gemma":[0.999742,0.00004893582,0.000034179688,0.0000064575606,0.0000050555245,0.0000024932397,0.000096816635,5.155381e-7,0.00006361518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999845,0.000049537462,0.000014126175,0.000027316957,0.000035930723,0.00002801743],"domain_scores_gemma":[0.9987507,0.00042555766,0.0004604035,0.000047526708,0.00011673614,0.00019910735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026365276,0.00014680345,0.00017361547,0.0005884896,0.00021848334,0.00030319009,0.0001909362,0.00022712238,0.0018947158],"category_scores_gemma":[0.0025209696,0.00015048661,0.00015210234,0.0005345428,0.00017286306,0.00017168773,0.0002874243,0.00028662774,0.0001676836],"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":[0.000026950449,0.000008721612,0.9994066,0.0000021649478,0.0000071673985,0.000024028588,0.0000087538865,0.000017383449,0.00004203076,0.0000032297926,0.0000359395,0.00041709002],"study_design_scores_gemma":[0.0000018867587,0.000028793558,0.999482,0.0000023772564,0.000008235437,0.00015374977,0.000053330095,0.00017682117,0.000027869664,0.000011917769,0.00005202411,9.786285e-7],"about_ca_topic_score_codex":0.004290448,"about_ca_topic_score_gemma":0.005197631,"teacher_disagreement_score":0.004290448,"about_ca_system_score_codex":0.00011136408,"about_ca_system_score_gemma":0.00014321794,"threshold_uncertainty_score":0.008530974},"labels":[],"label_agreement":null},{"id":"W2967151617","doi":"10.2147/bctt.s192766","title":"&lt;p&gt;Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women&lt;/p&gt;","year":2019,"lang":"en","type":"article","venue":"Breast Cancer Targets and Therapy","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Queen's University; Spinal Cord Injury BC; University of British Columbia","funders":"BC Cancer Agency; University of British Columbia; Canadian Institutes of Health Research; Sunnybrook Research Institute","keywords":"Medicine; Breast cancer; MAMMOGRAPHIC DENSITY; Quartile; Logistic regression; Surgical oncology; Oncology; Internal medicine; Cancer; Mammography; Multinomial logistic regression; Breast density; Gynecology; Statistics","score_opus":0.005515779324485144,"score_gpt":0.2182036149227746,"score_spread":0.21268783559828947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967151617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875784,0.00031809544,0.00019825707,0.00005446535,0.0000013679403,0.000005766609,0.00032634984,0.000004403591,0.00033354684],"genre_scores_gemma":[0.9996567,0.000040234496,0.00005821754,0.0000053372773,0.0000017065244,0.0000029535743,0.00011380302,9.844904e-7,0.000120105535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996971,0.00009509409,0.000023434473,0.00006657918,0.00008324533,0.00003451728],"domain_scores_gemma":[0.9987532,0.00047996503,0.00047017605,0.00012966874,0.000096474185,0.00007061898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076135376,0.00012333516,0.00024692545,0.0005042547,0.00023394905,0.00039603136,0.0002645131,0.00018434794,0.0016548432],"category_scores_gemma":[0.0035647848,0.00012507629,0.00020352902,0.0007961505,0.00029984806,0.0001515291,0.00026570004,0.00020162915,0.00011840302],"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":[0.00005755145,0.0000040234345,0.99801886,0.00000651181,0.000044810942,0.000024323888,0.000032203887,0.000057259982,0.00010729645,0.000013872902,0.00004949775,0.0015837679],"study_design_scores_gemma":[0.000003297405,0.000017333874,0.999303,0.0000033578644,0.000029453033,0.00012079083,0.000050994822,0.00024613706,0.00008309388,0.00003167035,0.000109841676,0.0000010940206],"about_ca_topic_score_codex":0.03833765,"about_ca_topic_score_gemma":0.041537195,"teacher_disagreement_score":0.03833765,"about_ca_system_score_codex":0.00052492495,"about_ca_system_score_gemma":0.00043770127,"threshold_uncertainty_score":0.076228976},"labels":[],"label_agreement":null},{"id":"W2968311158","doi":"10.1186/s13058-019-1179-z","title":"Investigating the feasibility of stratified breast cancer screening using a masking risk predictor","year":2019,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Ontario Institute for Cancer Research","keywords":"Medicine; Breast cancer; Mammography; Confidence interval; Masking (illustration); Cancer; Risk stratification; Population; Receiver operating characteristic; Internal medicine; Oncology; Radiology; Nuclear medicine","score_opus":0.11184963883633742,"score_gpt":0.4065392272096033,"score_spread":0.29468958837326586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968311158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433463,0.00020081522,0.055039883,0.0002456311,0.000015738937,0.00023998156,0.00018081015,0.00014290253,0.00058796076],"genre_scores_gemma":[0.9806621,0.00003870148,0.018924227,0.000042137297,0.0000070415063,0.00006333212,0.00012398395,0.000009400148,0.00012905366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946878,0.004007813,0.00016999118,0.00051598327,0.0003982632,0.00022011946],"domain_scores_gemma":[0.96621656,0.029633315,0.0016705329,0.0013519642,0.0007634517,0.0003642521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019345112,0.0010561127,0.0007479018,0.0007413416,0.00034523904,0.00085532956,0.00081553025,0.0008126426,0.0010207813],"category_scores_gemma":[0.03564233,0.00048926467,0.0017268709,0.0004227939,0.00042551185,0.0008236184,0.0009763244,0.0006300897,0.00020574476],"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":[0.008025629,0.0005028567,0.7242847,0.00016077263,0.0018436603,0.00019502902,0.00035885692,0.19568111,0.0041179666,0.001716888,0.00034529687,0.06276736],"study_design_scores_gemma":[0.0002664971,0.0033825003,0.079455554,0.000041019655,0.001035559,0.00018730076,0.000099259756,0.90880597,0.003954219,0.0021820702,0.00053038116,0.000059665545],"about_ca_topic_score_codex":0.0048424355,"about_ca_topic_score_gemma":0.003722973,"teacher_disagreement_score":0.019345112,"about_ca_system_score_codex":0.00091248547,"about_ca_system_score_gemma":0.0020930942,"threshold_uncertainty_score":0.102307975},"labels":[],"label_agreement":null},{"id":"W2970423232","doi":"10.1002/mp.13791","title":"Comparison of CsI:Tl and Gd<sub>2</sub>O<sub>2</sub>S:Tb indirect flat panel detector x‐ray imaging performance in front‐ and back‐irradiation geometries","year":2019,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Analogic (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; Brookhaven National Laboratory; National Institutes of Health","keywords":"Detective quantum efficiency; Scintillator; Optics; Optical transfer function; X-ray detector; Materials science; Flat panel detector; Detector; Irradiation; Absorption (acoustics); Physics; Optoelectronics; Image quality; Nuclear physics","score_opus":0.013736389317422229,"score_gpt":0.24306757684154295,"score_spread":0.22933118752412074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970423232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966742,0.00029525656,0.0016590224,0.000018916966,0.000007241134,0.000012133744,0.00020610286,0.00010833774,0.0010187859],"genre_scores_gemma":[0.9944617,0.00032018326,0.0034670848,0.000021423586,0.0000036144236,0.000017802919,0.00021615482,0.000061552026,0.0014305675],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975866,0.000022020586,0.000011543437,0.000064714135,0.00009832088,0.000044754794],"domain_scores_gemma":[0.9996561,0.00009324396,0.00008883919,0.000032159867,0.00010315035,0.000026569178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017126622,0.0004517309,0.00023124392,0.00017461208,0.00011363005,0.00045176214,0.00043030558,0.00039506322,0.0012056282],"category_scores_gemma":[0.00045158822,0.00025434524,0.00019799457,0.00018325262,0.00026279798,0.00026160228,0.00023661631,0.00020928879,0.00037125073],"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":[0.00020322023,0.000009210954,0.00065990014,0.00004185316,0.000009343736,0.00004975483,0.00003006187,0.00040936575,0.9966454,0.000032671836,0.00005353586,0.0018556606],"study_design_scores_gemma":[0.000004535478,0.00020121629,0.0040724897,0.000001868025,0.000016700797,0.00007179105,0.000025391128,0.0008720322,0.99444157,0.0000038619173,0.00028257872,0.0000059926465],"about_ca_topic_score_codex":0.0010937747,"about_ca_topic_score_gemma":0.0014021023,"teacher_disagreement_score":0.0012056282,"about_ca_system_score_codex":0.00037239055,"about_ca_system_score_gemma":0.00014550459,"threshold_uncertainty_score":0.004033208},"labels":[],"label_agreement":null},{"id":"W2970497190","doi":"10.1088/1361-6560/ab3fcd","title":"Cascaded systems analysis of anatomic noise in digital mammography and dual-energy digital mammography","year":2019,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","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":"Interior Health; Kelowna General Hospital; University of British Columbia, Okanagan Campus; University of British Columbia; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mammography; Digital mammography; Noise (video); Computer science; Noise power; Imaging phantom; Medical physics; Power (physics); Artificial intelligence; Optics; Physics; Breast cancer; Medicine; Image (mathematics)","score_opus":0.041159593029022085,"score_gpt":0.3048155360343427,"score_spread":0.2636559430053206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970497190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109748885,0.00027117578,0.8867401,0.00014742138,0.000020683954,0.000056431418,0.00004336066,0.00014761806,0.0028243763],"genre_scores_gemma":[0.9318763,0.00022315395,0.06501877,0.000058146492,0.000014648527,0.000076193995,0.00004191987,0.000040676656,0.0026502009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995442,0.00013007128,0.000018148447,0.000082434744,0.0001862638,0.000038939193],"domain_scores_gemma":[0.9989427,0.00075913686,0.0001159616,0.00004466056,0.000110309324,0.000027237076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000813124,0.00046997916,0.00048772717,0.0004765152,0.00022788637,0.0006397838,0.0006059758,0.0007526998,0.0010171274],"category_scores_gemma":[0.0025178122,0.00039534672,0.0006166218,0.00029398323,0.0006956666,0.0006969752,0.0006610246,0.00043484187,0.00013086785],"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":[0.000047873502,0.000028640332,0.00072663045,0.000056666122,0.000018367784,0.00007747173,0.0000769245,0.9712696,0.0086779455,0.01254384,0.00009307457,0.006383],"study_design_scores_gemma":[0.0000013573604,0.000009222026,0.00016951948,0.0000016772996,0.000002361702,0.000008133256,0.000002979833,0.9981413,0.000818572,0.0007706845,0.00007126307,0.000002948436],"about_ca_topic_score_codex":0.0024896339,"about_ca_topic_score_gemma":0.0021992484,"teacher_disagreement_score":0.0024896339,"about_ca_system_score_codex":0.0012636959,"about_ca_system_score_gemma":0.0004906478,"threshold_uncertainty_score":0.009168804},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48992354,0.0024651273,0.49532446,0.00043977718,0.00020782361,0.00024712435,0.0006315693,0.0020151774,0.008745434],"genre_scores_gemma":[0.7922294,0.0004701269,0.1999829,0.00016665275,0.000035319186,0.00007802251,0.0002385759,0.000043557964,0.0067554293],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987197,0.000013306803,0.0000061130695,0.000040367428,0.000056607034,0.000011608426],"domain_scores_gemma":[0.99982685,0.000035961264,0.000039498664,0.000015520827,0.00006149176,0.000020726464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011941578,0.0003025563,0.00026130167,0.00025269724,0.00022872924,0.00044059285,0.0011878127,0.0006885756,0.0013703058],"category_scores_gemma":[0.00018542419,0.00025765243,0.0002623801,0.0002638947,0.00014055193,0.0005049213,0.00028364043,0.00028806218,0.0006068185],"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":[0.0001439021,0.000060487215,0.001449502,0.00015581564,0.000033275603,0.00026481686,0.000053194806,0.0016047662,0.97470325,0.0024179793,0.0007811152,0.018331993],"study_design_scores_gemma":[0.000097232456,0.0017872812,0.0056681912,0.000038775117,0.00010740821,0.003498708,0.000067686946,0.09074238,0.87467635,0.00094005786,0.022307726,0.000068221525],"about_ca_topic_score_codex":0.000329796,"about_ca_topic_score_gemma":0.0007239735,"teacher_disagreement_score":0.0013703058,"about_ca_system_score_codex":0.0003727967,"about_ca_system_score_gemma":0.00036032285,"threshold_uncertainty_score":0.0045841336},"labels":[],"label_agreement":null},{"id":"W2972904252","doi":"10.1093/jnci/djz113","title":"Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification","year":2019,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Cancer Research; National Institutes of Health; National Cancer Institute; NIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer Research; European Commission; Patient-Centered Outcomes Research Institute","keywords":"Medicine; Breast cancer; Risk assessment; Confidence interval; Cohort; Population; Cohort study; Demography; Risk stratification; Gynecology; Cancer; Internal medicine; Environmental health; Computer science","score_opus":0.04391572684055019,"score_gpt":0.3372624800153876,"score_spread":0.29334675317483744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972904252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62830925,0.003072513,0.35592365,0.0014597588,0.00014863093,0.0006581631,0.0031820666,0.00091702706,0.006328905],"genre_scores_gemma":[0.9262548,0.0005226969,0.06948696,0.00016922077,0.00003954357,0.00029885783,0.00293952,0.000090799105,0.00019759475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9764969,0.017689357,0.001113864,0.0019160028,0.0024679862,0.00031597578],"domain_scores_gemma":[0.89960647,0.07994833,0.00515562,0.0066719754,0.008081472,0.0005361295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.072199404,0.0012584062,0.00090418995,0.0020294886,0.00045863038,0.0021416945,0.0018045522,0.0011994313,0.0012343444],"category_scores_gemma":[0.1190523,0.0005293944,0.0019284675,0.0014085525,0.000749083,0.0015894786,0.002378281,0.0016095381,0.0003299309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013844265,0.00039028545,0.23263103,0.000721876,0.0025226856,0.00022215642,0.0007109637,0.6499903,0.0015026267,0.0070764064,0.0032090093,0.099638276],"study_design_scores_gemma":[0.00023482398,0.00081268745,0.06945453,0.00054685783,0.0008228084,0.0002766449,0.0003175808,0.90921307,0.0038708837,0.010799122,0.0035002471,0.00015066605],"about_ca_topic_score_codex":0.005394002,"about_ca_topic_score_gemma":0.0037865888,"teacher_disagreement_score":0.072199404,"about_ca_system_score_codex":0.0015862845,"about_ca_system_score_gemma":0.0026868593,"threshold_uncertainty_score":0.38183153},"labels":[],"label_agreement":null},{"id":"W2972979332","doi":"10.1093/jnci/djz184","title":"Long-Term Outcomes and Cost-Effectiveness of Breast Cancer Screening With Digital Breast Tomosynthesis in the United States","year":2019,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Center for Advancing Translational Sciences; Audrey and Theodor Geisel School of Medicine at Dartmouth; Georgetown University; University of California, San Francisco; National Cancer Institute; Kaiser Permanente; University of Toronto; Kaiser Permanente Washington Health Research Institute; Norris Cotton Cancer Center; Breast Cancer Society of Canada; Dartmouth College; Hologic; University of Wisconsin-Madison","keywords":"Medicine; Breast cancer; Breast cancer screening; Mammography; Cohort; Cost effectiveness; Digital mammography; Cancer; Oncology; Demography; Internal medicine; Gynecology","score_opus":0.03319979960732257,"score_gpt":0.3215147978729913,"score_spread":0.28831499826566875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972979332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98712313,0.0035624446,0.0017477243,0.0012410311,0.000039862764,0.00010813317,0.00296487,0.000029844612,0.0031828987],"genre_scores_gemma":[0.99765766,0.00055809563,0.00050044956,0.00015385658,0.0000056918607,0.00004847138,0.0008798979,0.0000027656101,0.00019316022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988495,0.00076962856,0.00005528915,0.000108273205,0.00009948365,0.000117942756],"domain_scores_gemma":[0.99751747,0.0016441998,0.00038084853,0.000070140486,0.00022822099,0.00015908858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003418093,0.0006708525,0.0006123281,0.0006724954,0.00018733172,0.0013223378,0.000631257,0.0007212806,0.0023789972],"category_scores_gemma":[0.009528856,0.00030061606,0.0020948828,0.00066845637,0.0004070241,0.00083845906,0.0006647852,0.00066555705,0.00011772932],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049904254,0.0006341725,0.16486704,0.0005654483,0.0027393093,0.00036809075,0.00007515509,0.79196626,0.00050834514,0.0026249622,0.0028356896,0.027825058],"study_design_scores_gemma":[0.0019823837,0.0055558,0.2169317,0.0011517134,0.007894931,0.0009707542,0.0005721199,0.7469046,0.001983445,0.011196923,0.0046796734,0.00017591192],"about_ca_topic_score_codex":0.030455392,"about_ca_topic_score_gemma":0.02114435,"teacher_disagreement_score":0.030455392,"about_ca_system_score_codex":0.0048094993,"about_ca_system_score_gemma":0.002023842,"threshold_uncertainty_score":0.060556233},"labels":[],"label_agreement":null},{"id":"W2996762549","doi":"10.1007/s00330-019-06549-2","title":"Digital breast tomosynthesis for breast cancer detection: a diagnostic test accuracy systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Ottawa Hospital; Impact; Western University; University of Ottawa; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Meta-analysis; Breast cancer; Digital Breast Tomosynthesis; Mammography; Confidence interval; Digital mammography; Diagnostic accuracy; Internal medicine; Oncology; Cancer","score_opus":0.04276504330113395,"score_gpt":0.31255798436974414,"score_spread":0.2697929410686102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996762549","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041202027,0.99462044,0.0003868701,0.00011227013,0.00012232429,0.00012633853,0.00032357316,0.000018358418,0.0001694695],"genre_scores_gemma":[0.19423607,0.7994905,0.0024569666,0.0017146529,0.00031363944,0.0004847783,0.00073205977,0.00005033281,0.00052094477],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99344045,0.0028547724,0.0018837887,0.00089072686,0.00068129617,0.00024887847],"domain_scores_gemma":[0.98410624,0.012018069,0.0023947428,0.00047750532,0.00082930166,0.00017417007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009235726,0.0023088425,0.013998263,0.003515293,0.0005814415,0.0027617025,0.002019799,0.0024084912,0.0049103983],"category_scores_gemma":[0.02740002,0.0015676416,0.023040054,0.004522559,0.00096240966,0.0021355657,0.0019474027,0.0022771682,0.00048728104],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002543569,0.00003447269,0.005101991,0.3953383,0.5794028,0.0001190291,0.00012425274,0.00024532108,0.00027900748,0.000110660854,0.00087413006,0.015826536],"study_design_scores_gemma":[0.0010028762,0.00013474168,0.003479295,0.017021652,0.9766742,0.00009078131,0.000054237782,0.000099381665,0.00006857894,0.00013230286,0.0012158528,0.000026074375],"about_ca_topic_score_codex":0.008129814,"about_ca_topic_score_gemma":0.025064949,"teacher_disagreement_score":0.013998263,"about_ca_system_score_codex":0.001948164,"about_ca_system_score_gemma":0.0026114301,"threshold_uncertainty_score":0.04884374},"labels":[],"label_agreement":null},{"id":"W3003822365","doi":"10.1007/s00330-019-06586-x","title":"Can breast MRI accurately exclude malignancy in mammographic architectural distortion?","year":2020,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Malignancy; Breast MRI; Neuroradiology; Radiology; Magnetic resonance imaging; Cohort; Breast imaging; Interventional radiology; Retrospective cohort study; Mammography; Breast cancer; Ultrasound; Biopsy; Internal medicine; Cancer; Neurology","score_opus":0.024846646685786285,"score_gpt":0.2492503554592,"score_spread":0.2244037087734137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003822365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8416881,0.06380982,0.0065361303,0.031658154,0.002547503,0.00009129242,0.00028930194,0.0002595015,0.053120196],"genre_scores_gemma":[0.98399955,0.008051383,0.0033536959,0.0015990488,0.0017373791,0.000008847425,0.000116903415,0.000030024597,0.0011032589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924964,0.00025287966,0.00013125695,0.00005838896,0.00017090929,0.00013681364],"domain_scores_gemma":[0.99634874,0.0015317025,0.0006042442,0.00033430787,0.00092255115,0.0002584445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001986992,0.0006470248,0.00068488665,0.0024953624,0.00027825637,0.0011330373,0.000906323,0.0020912506,0.0021304504],"category_scores_gemma":[0.021949718,0.0003889978,0.00036601353,0.0010865761,0.0012447954,0.0024043852,0.0005175878,0.0009631609,0.0020652923],"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":[0.0011944106,0.00012137307,0.78019106,0.00046587663,0.00016441412,0.044154756,0.00027294713,0.00069529103,0.010659116,0.0015367984,0.007720404,0.15282355],"study_design_scores_gemma":[0.00015902788,0.00064693013,0.5320655,0.0008491843,0.00048284134,0.391793,0.00240511,0.005964399,0.010757252,0.0069367946,0.047853157,0.00008665479],"about_ca_topic_score_codex":0.0010385589,"about_ca_topic_score_gemma":0.0017775426,"teacher_disagreement_score":0.0024953624,"about_ca_system_score_codex":0.0002860506,"about_ca_system_score_gemma":0.0003967968,"threshold_uncertainty_score":0.0105083585},"labels":[],"label_agreement":null},{"id":"W3006080005","doi":"10.1158/1055-9965.epi-19-0348","title":"Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Breast cancer; Body mass index; Overweight; MAMMOGRAPHIC DENSITY; Population; Cohort; Environmental health; Mammography; Internal medicine; Demography; Oncology; Cancer","score_opus":0.06488693810401552,"score_gpt":0.3376986292822528,"score_spread":0.2728116911782373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006080005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7477468,0.23947488,0.0014303437,0.00044298742,0.00019033,0.000111937814,0.009363388,0.00006693432,0.0011723753],"genre_scores_gemma":[0.98403716,0.013599274,0.0003409541,0.00016693279,0.0000722213,0.00008723981,0.0013823755,0.000008526333,0.000305217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986879,0.00047313055,0.00022883114,0.00032310796,0.00021930215,0.000067743524],"domain_scores_gemma":[0.9984125,0.0006379013,0.0005951706,0.0001504801,0.0001528956,0.000050994688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001957411,0.0006074923,0.0013242825,0.0012259106,0.0002575898,0.0009147056,0.0005032473,0.0006260304,0.0011702948],"category_scores_gemma":[0.0033366692,0.0005413567,0.005365041,0.0028858918,0.00021466902,0.00030463072,0.00050444197,0.00047669307,0.00013180586],"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":[0.004440095,0.0000725984,0.85831606,0.0045890496,0.1204277,0.00014247435,0.0000862801,0.00057658384,0.0006084465,0.00007237249,0.0007502106,0.009918162],"study_design_scores_gemma":[0.0007159931,0.0004235335,0.8434865,0.0007196102,0.15031244,0.00025276985,0.00009959135,0.0009293321,0.00039532295,0.00019509828,0.0024425285,0.000027463602],"about_ca_topic_score_codex":0.013094951,"about_ca_topic_score_gemma":0.011972825,"teacher_disagreement_score":0.013094951,"about_ca_system_score_codex":0.00041129882,"about_ca_system_score_gemma":0.0003696506,"threshold_uncertainty_score":0.026037455},"labels":[],"label_agreement":null},{"id":"W3013660875","doi":"10.1016/j.ejmp.2020.03.015","title":"Monte Carlo kilovoltage X-ray tube simulation: A statistical analysis and compact simulation method","year":2020,"lang":"en","type":"article","venue":"Physica Medica","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Elekta Instruments","keywords":"Monte Carlo method; Photon; Position (finance); Computer science; Optics; Algorithm; Physics; Mathematics; Statistics","score_opus":0.024264355342553848,"score_gpt":0.33486810002012063,"score_spread":0.3106037446775668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013660875","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024382947,0.00017413421,0.970064,0.00015022593,0.000042456457,0.00009566807,0.00012430399,0.0007628578,0.004203422],"genre_scores_gemma":[0.57507175,0.00041641647,0.41696492,0.00017854766,0.00008627646,0.00054988894,0.0003398355,0.0008221632,0.0055701244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952817,0.00020228159,0.000025834352,0.000040743107,0.0001669905,0.000036050773],"domain_scores_gemma":[0.9960007,0.0029416264,0.00020996919,0.00022237842,0.00054442807,0.00008098446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011944893,0.0004665791,0.0010333483,0.0009432071,0.00065913604,0.0009609162,0.0014689952,0.0011344835,0.00429586],"category_scores_gemma":[0.0058465786,0.0005985418,0.0006928183,0.0014615343,0.0004906223,0.0009973443,0.0006934746,0.00094204536,0.0004908302],"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":[0.00007268352,0.00006289748,0.00071333017,0.00005326959,0.000026551215,0.000057203528,0.000053006424,0.95974755,0.0011287625,0.024383282,0.0006172421,0.013084351],"study_design_scores_gemma":[0.0000033166941,0.000004960109,0.00004897324,0.0000017320085,0.000003096255,0.000007879241,0.000002633563,0.9987638,0.00018097679,0.0008090217,0.00017123282,0.0000022851743],"about_ca_topic_score_codex":0.0077925017,"about_ca_topic_score_gemma":0.004159604,"teacher_disagreement_score":0.0077925017,"about_ca_system_score_codex":0.00090128876,"about_ca_system_score_gemma":0.0014591431,"threshold_uncertainty_score":0.015494287},"labels":[],"label_agreement":null},{"id":"W3015444117","doi":"","title":"Investigating the relationship between mammographic breast density and triple negative breast cancer in Nova Scotia, Canada","year":2020,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Breast cancer; MAMMOGRAPHIC DENSITY; Nova (rocket); Mammography; Medicine; Triple negative; Gynecology; Cancer; Geography; Internal medicine; Archaeology","score_opus":0.031481255245667084,"score_gpt":0.25685073987756224,"score_spread":0.22536948463189516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015444117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98909086,0.0014695065,0.00011744655,0.0010039611,0.00004898231,0.000099883895,0.0036449807,0.000009350622,0.0045150905],"genre_scores_gemma":[0.99566734,0.00080030615,0.00017965473,0.00027656945,0.000011504116,0.000029484849,0.00077822,0.0000055538035,0.002251381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987558,0.00016947508,0.000115624774,0.0001301422,0.00034302688,0.0004859631],"domain_scores_gemma":[0.994766,0.0005055064,0.0007722948,0.00010684367,0.0025938486,0.0012554415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008471919,0.000311306,0.00047626434,0.0019876512,0.0033839892,0.0013858533,0.0013730818,0.00057390233,0.0023623137],"category_scores_gemma":[0.00429409,0.00048971333,0.0005941811,0.0039108354,0.00092746934,0.00030819906,0.0011224673,0.0008958238,0.00029510426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009418927,0.00004201312,0.9946219,0.00005790516,0.00005339604,0.0003140544,0.0007944493,0.00012131442,0.00015234314,0.00012052553,0.0010717335,0.0025562386],"study_design_scores_gemma":[0.000016527487,0.000032023425,0.9961888,0.00007644871,0.000031908374,0.00015076295,0.0023540328,0.00020237072,0.000042150517,0.000019392131,0.0008753415,0.000010195787],"about_ca_topic_score_codex":0.998245,"about_ca_topic_score_gemma":0.99913687,"teacher_disagreement_score":0.03671192,"about_ca_system_score_codex":0.03671192,"about_ca_system_score_gemma":0.054977607,"threshold_uncertainty_score":0.26636487},"labels":[],"label_agreement":null},{"id":"W3020832404","doi":"10.1007/978-981-15-1412-8_7","title":"Digital Breast Tomosynthesis","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; Mount Sinai Hospital; University Health Network","funders":"","keywords":"Digital Breast Tomosynthesis; Breast cancer; Computer science; Mammography; Radiation dose; Computer vision; Artificial intelligence; Nuclear medicine; Medicine; Medical physics; Cancer; Internal medicine","score_opus":0.011979383578564352,"score_gpt":0.20698348051057763,"score_spread":0.1950040969320133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020832404","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006220112,0.0145049235,0.014792743,0.0007693958,0.001603681,0.000044320615,0.0002417675,0.0006705752,0.9667507],"genre_scores_gemma":[0.0022086361,0.006491066,0.004077931,0.0004915966,0.00030024716,0.0000148442805,0.00016056291,0.00013555391,0.9861195],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998989,0.000009534218,0.0000035638461,0.000016681865,0.00006301593,0.000008183681],"domain_scores_gemma":[0.9998603,0.000059755985,0.0000048869992,0.000020019239,0.000038480972,0.000016545488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014307229,0.000704405,0.00037692272,0.0011048407,0.00045005555,0.001376566,0.00074429385,0.00073099707,0.19542536],"category_scores_gemma":[0.0005064001,0.00035516662,0.00027081434,0.0008425601,0.0003820658,0.0010917365,0.0009802277,0.0010987038,0.08628289],"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":[0.000028693787,0.00004878879,0.00010177314,0.00033089228,0.0000059223817,0.00023644333,0.00011256196,0.00046089067,0.0044596335,0.032141887,0.36325613,0.59881645],"study_design_scores_gemma":[0.0000022202073,0.000012031472,0.00021374448,0.000093116956,0.000003832529,0.00091119914,0.000027463597,0.00022854934,0.00065331,0.0062308693,0.99161834,0.000005357504],"about_ca_topic_score_codex":0.00065157306,"about_ca_topic_score_gemma":0.0031092863,"teacher_disagreement_score":0.19542536,"about_ca_system_score_codex":0.0003600003,"about_ca_system_score_gemma":0.00041479548,"threshold_uncertainty_score":0.65376294},"labels":[],"label_agreement":null},{"id":"W3021342480","doi":"","title":"Cancer screening with digital mammography for women at average risk for breast cancer, magnetic resonance imaging (MRI) for women at high risk: an evidence-based analysis.","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Magnetic resonance imaging; Mammography; Breast cancer; Cancer; Radiology; Internal medicine","score_opus":0.009709460306876291,"score_gpt":0.22912927981677755,"score_spread":0.21941981950990125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021342480","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00064135925,0.9984975,0.000061687235,0.00035794033,0.00006426421,0.000046198827,0.000060862476,0.000002048074,0.00026825652],"genre_scores_gemma":[0.022848364,0.9750807,0.0009111544,0.0007374286,0.00013460281,0.00008849451,0.0001075192,0.00000166919,0.00009013137],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99548304,0.002180139,0.0009643183,0.0002495865,0.0010378929,0.000085045096],"domain_scores_gemma":[0.9926938,0.0047425204,0.0016557775,0.00008281501,0.00069958944,0.00012550977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004982447,0.00084513385,0.0036366829,0.00412326,0.0002670598,0.0014291125,0.00086151983,0.0016727318,0.0029811661],"category_scores_gemma":[0.021166133,0.00047002063,0.0047357935,0.0029096692,0.0003405621,0.0009723308,0.00048531283,0.0011812932,0.0002032765],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022853427,0.0002069242,0.0027949263,0.5698924,0.025060197,0.00021208647,0.00007617846,0.0006312595,0.0006454515,0.00089284923,0.005797007,0.3915054],"study_design_scores_gemma":[0.00463051,0.0034781643,0.031746976,0.6915577,0.1865554,0.0015537506,0.00030644398,0.0008651649,0.0009883208,0.0017512833,0.07646509,0.00010135026],"about_ca_topic_score_codex":0.004873003,"about_ca_topic_score_gemma":0.016713228,"teacher_disagreement_score":0.004982447,"about_ca_system_score_codex":0.0017349808,"about_ca_system_score_gemma":0.0032427579,"threshold_uncertainty_score":0.026349962},"labels":[],"label_agreement":null},{"id":"W3021929063","doi":"10.1016/j.jmir.2020.03.001","title":"Transitioning to Full Field Digital Mammography in Nova Scotia: Using Interrupted Time Series Methods to Study the Impact of Technology Change on Mammography Volumes","year":2020,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Technical University of Nova Scotia; Nova Scotia Health Authority; Izaak Walton Killam Health Centre; Dalhousie University","funders":"","keywords":"Mammography; Nova scotia; Confidence interval; Digital mammography; Medicine; Breast cancer; Medical physics; Geography; Internal medicine; Cancer","score_opus":0.0356906293400267,"score_gpt":0.3840043214296854,"score_spread":0.3483136920896587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021929063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991493,0.00007196663,0.00009310962,0.00008803882,0.000004380854,0.000014538288,0.00035921836,0.0000011975743,0.0002182361],"genre_scores_gemma":[0.99904794,0.000097973934,0.00013334685,0.00003473552,0.0000029433538,0.000019495585,0.00033773037,0.0000017884313,0.00032411373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885035,0.00040105273,0.000102542974,0.00015147052,0.00016914945,0.00032542154],"domain_scores_gemma":[0.9902686,0.00410385,0.0027432048,0.0003929017,0.0015316184,0.000959894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015903134,0.0002238569,0.00040606956,0.0008822461,0.0006790105,0.0010435132,0.00094070006,0.00062653143,0.00089443114],"category_scores_gemma":[0.0125196995,0.00026008376,0.00040346192,0.0024360039,0.00071390555,0.00051121454,0.0013862752,0.00096370064,0.00011235167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059597514,0.00014066676,0.9908119,0.00004471116,0.000117091804,0.00033758397,0.0028443353,0.0010966015,0.000277541,0.00018716892,0.00020863641,0.003337839],"study_design_scores_gemma":[0.0000074341856,0.000073695795,0.99543864,0.000015351678,0.000024749987,0.000034064644,0.0025916414,0.0015571128,0.00004388335,0.000025433535,0.00018173504,0.0000063599114],"about_ca_topic_score_codex":0.91932386,"about_ca_topic_score_gemma":0.900541,"teacher_disagreement_score":0.08067614,"about_ca_system_score_codex":0.008437644,"about_ca_system_score_gemma":0.007340762,"threshold_uncertainty_score":0.16230243},"labels":[],"label_agreement":null},{"id":"W3048708260","doi":"10.1097/rli.0000000000000716","title":"Proof of Concept: Phantom Study to Ensure Quality and Safety of Portable Chest Radiography Through Glass During the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Investigative Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Michener Institute","funders":"","keywords":"Radiography; Imaging phantom; Medicine; Nuclear medicine; Radiology","score_opus":0.08864141288408055,"score_gpt":0.34168142818053143,"score_spread":0.25304001529645087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048708260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73431593,0.0020156687,0.24985936,0.001032257,0.00074904994,0.0039573284,0.0013258987,0.0018716705,0.0048728804],"genre_scores_gemma":[0.76129013,0.0013320432,0.22381774,0.00090960384,0.00012012142,0.0029492136,0.0011839594,0.0002902809,0.0081069125],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990683,0.00027093617,0.00004060856,0.0001640422,0.00037791015,0.00007819044],"domain_scores_gemma":[0.99743843,0.00063000066,0.00045534087,0.00036555057,0.0008364504,0.00027424464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002538869,0.0008575052,0.0005039013,0.00031501046,0.00026557696,0.0006289794,0.001443035,0.0013250937,0.005822636],"category_scores_gemma":[0.0033351155,0.00043694544,0.0005607602,0.00026010038,0.00048615923,0.0005899902,0.0006019558,0.00049122196,0.0010174967],"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":[0.0019887378,0.0011030057,0.0033103097,0.0011771392,0.00008140328,0.0007388099,0.00038374763,0.0028701846,0.9581468,0.0007032013,0.0024463898,0.027050206],"study_design_scores_gemma":[0.0010744758,0.034137435,0.017413266,0.00022264152,0.00034625098,0.0042897365,0.00034110137,0.01787936,0.8839735,0.00039207246,0.039763812,0.00016637736],"about_ca_topic_score_codex":0.00072759227,"about_ca_topic_score_gemma":0.00057659636,"teacher_disagreement_score":0.005822636,"about_ca_system_score_codex":0.00038450956,"about_ca_system_score_gemma":0.0009082902,"threshold_uncertainty_score":0.01947862},"labels":[],"label_agreement":null},{"id":"W3080518891","doi":"10.1097/gme.0000000000001631","title":"Breast effects of oral, combined 17β-estradiol, and progesterone capsules in menopausal women: a randomized controlled trial","year":2020,"lang":"en","type":"article","venue":"Menopause The Journal of The North American Menopause Society","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"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 Manitoba","funders":"","keywords":"Medicine; Placebo; Breast cancer; Incidence (geometry); Hormone replacement therapy (female-to-male); Gynecology; Adverse effect; Mammography; Hormone therapy; Vasomotor; Randomized controlled trial; Internal medicine; Cancer","score_opus":0.005514739736537562,"score_gpt":0.22175032427439842,"score_spread":0.21623558453786085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080518891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94741505,0.03470701,0.00093582994,0.0016877734,0.0016052849,0.008639352,0.0018490042,0.00029805436,0.002862614],"genre_scores_gemma":[0.96011126,0.016226206,0.0021589475,0.0023719065,0.0016401098,0.012115779,0.0012577455,0.000034913075,0.0040831715],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9988961,0.0006243525,0.000109693654,0.00018219347,0.000085295505,0.00010233957],"domain_scores_gemma":[0.9987274,0.00048998464,0.00034499078,0.000079861755,0.00007918142,0.00027851402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002310029,0.0012949926,0.0038693855,0.0005396226,0.00052641006,0.0012416868,0.0009926741,0.0026471296,0.008022533],"category_scores_gemma":[0.0028413192,0.0007307275,0.0021302954,0.0006362606,0.0010953409,0.0008793666,0.00034425833,0.0019631763,0.0008715691],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9881616,0.0015130213,0.00026274085,0.0014286832,0.0008731704,0.000030682193,0.000021020178,0.00006005981,0.00077172765,0.000039437047,0.00030232518,0.0065356414],"study_design_scores_gemma":[0.9884425,0.010295087,0.0004301645,0.000046594894,0.00039479043,0.000013333285,0.000007940543,0.00006590809,0.00007278661,0.000028456441,0.0001986323,0.0000038341495],"about_ca_topic_score_codex":0.0010147096,"about_ca_topic_score_gemma":0.0021483656,"teacher_disagreement_score":0.008022533,"about_ca_system_score_codex":0.00058930455,"about_ca_system_score_gemma":0.0014245395,"threshold_uncertainty_score":0.026838064},"labels":[],"label_agreement":null},{"id":"W3084658950","doi":"10.1109/tns.2020.3023687","title":"Effects of High-Dose X-Ray Irradiation on the Hole Lifetime in Vacuum-Deposited Stabilized a-Se Photoconductive Films: Implications to the Quality Control of a-Se Used in X-Ray Detectors","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Nuclear Science","topic":"Digital Radiography and Breast Imaging","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":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Irradiation; X-ray detector; Electric field; Electron mobility; Detector; Photoconductivity; Physics; X-ray; Photon; Semiconductor detector; Materials science; Optoelectronics; Optics; Analytical Chemistry (journal); Chemistry; Nuclear physics","score_opus":0.023216868014854078,"score_gpt":0.2828812466473005,"score_spread":0.25966437863244646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084658950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792945,0.001039179,0.00057448994,0.00002180126,0.000007957729,0.000009780831,0.000088975634,0.000021971638,0.00030633298],"genre_scores_gemma":[0.9981862,0.00053420453,0.0006571456,0.000017420007,0.0000030052017,0.000007252589,0.00006101643,0.000015564108,0.0005182515],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998518,0.00003083814,0.000012721631,0.00003958457,0.000038439088,0.000026635196],"domain_scores_gemma":[0.99936825,0.0003083653,0.00014779749,0.000047160003,0.000101256584,0.000027118773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029708113,0.00028379378,0.00021565231,0.0001422999,0.00015354702,0.00033019017,0.00025573443,0.00043833087,0.0010132621],"category_scores_gemma":[0.00054576335,0.00018684774,0.00016778435,0.0002081683,0.0002846007,0.00026999452,0.00014709588,0.00028818194,0.00015311177],"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":[0.00018978959,0.000017971857,0.0005866361,0.000056764038,0.000010824549,0.000078693396,0.00006433299,0.00015117816,0.9977604,0.000027271679,0.000018580331,0.0010374665],"study_design_scores_gemma":[0.0000062438926,0.00033753377,0.0068012085,0.000006506183,0.000013652074,0.000083268256,0.000053597138,0.00041779387,0.9920089,0.0000113832175,0.00025598335,0.000003970522],"about_ca_topic_score_codex":0.0006554708,"about_ca_topic_score_gemma":0.0007194693,"teacher_disagreement_score":0.0010132621,"about_ca_system_score_codex":0.0003388234,"about_ca_system_score_gemma":0.00012400534,"threshold_uncertainty_score":0.0033896565},"labels":[],"label_agreement":null},{"id":"W3094439708","doi":"10.1016/j.ijrobp.2020.07.2414","title":"Are We Choosing Wisely? Mammographic Surveillance in Older Women With Breast Cancer in Canada and the United States","year":2020,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Mammography; Lumpectomy; Breast cancer; Cohort; Family medicine; Population; Guideline; Epidemiology; Surveillance, Epidemiology, and End Results; Cohort study; Cancer registry; Cancer; Demography; Gynecology; Mastectomy; Internal medicine; Environmental health; Pathology","score_opus":0.01048796289755145,"score_gpt":0.2651351947686729,"score_spread":0.2546472318711215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094439708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789683,0.0044227233,0.00003351946,0.008808798,0.0000946236,0.000028153707,0.0010159859,0.0000060369875,0.006621766],"genre_scores_gemma":[0.9954265,0.0024372602,0.000060147446,0.0010772407,0.000039131482,0.0000055277337,0.00028730804,0.0000028081906,0.00066422153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923515,0.0000742431,0.000059763173,0.000054382977,0.00027472005,0.00030169418],"domain_scores_gemma":[0.99746644,0.00018257266,0.00058911805,0.0000318261,0.0007232323,0.0010068563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000508888,0.0001151262,0.0002818427,0.00090625486,0.0018439279,0.0011624227,0.0008483794,0.000763556,0.0014777917],"category_scores_gemma":[0.0042153317,0.00016381922,0.0003723506,0.003062102,0.0006368503,0.0005741122,0.0006393249,0.0011956248,0.00009456076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005318315,0.000045535442,0.98693997,0.000024723688,0.000024330473,0.00016540477,0.0009671047,0.000035615354,0.000041582494,0.000104843,0.0021953718,0.009402297],"study_design_scores_gemma":[0.0000065327226,0.00002026104,0.9898851,0.00010199319,0.00003166555,0.00016562945,0.0077602733,0.00010560338,0.00002476164,0.000055033528,0.0018341108,0.00000892347],"about_ca_topic_score_codex":0.97341454,"about_ca_topic_score_gemma":0.99164057,"teacher_disagreement_score":0.02658546,"about_ca_system_score_codex":0.010670647,"about_ca_system_score_gemma":0.019855808,"threshold_uncertainty_score":0.07742131},"labels":[],"label_agreement":null},{"id":"W3094924690","doi":"10.1093/jbi/wbaa086","title":"Digital Breast Tomosynthesis: Technique and Common Artifacts","year":2020,"lang":"en","type":"article","venue":"Journal of Breast Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Tomosynthesis; Digital Breast Tomosynthesis; Computer vision; Artificial intelligence; Computer science; Pixel; Detector; Image resolution; Iterative reconstruction; Mammography; Medicine","score_opus":0.008389575528669525,"score_gpt":0.22853533946510898,"score_spread":0.22014576393643945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094924690","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091383815,0.30760008,0.5667145,0.0084444545,0.0010936011,0.00042779706,0.00036700844,0.0014426232,0.022526056],"genre_scores_gemma":[0.31105018,0.16283387,0.5060758,0.0037806171,0.0020738104,0.00042245092,0.0006634731,0.00077348907,0.0123262545],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.997561,0.0005656074,0.00033126684,0.00039180816,0.0010483444,0.00010195931],"domain_scores_gemma":[0.9967249,0.0015444627,0.00046182724,0.0005069455,0.0005985255,0.0001633789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004299382,0.00067813654,0.0005148371,0.0033487694,0.0004813445,0.0012145153,0.0013409728,0.0016083961,0.00089021446],"category_scores_gemma":[0.0075580673,0.00060592615,0.000490747,0.003036618,0.0020311591,0.0013059779,0.0011871232,0.0022928296,0.0013970102],"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":[0.00052094326,0.00017478451,0.01704867,0.002456937,0.0001025645,0.0071873264,0.0009028788,0.0010723255,0.07548391,0.008145578,0.005703247,0.88120085],"study_design_scores_gemma":[0.00012337044,0.0011118026,0.058306288,0.0012391232,0.0003694422,0.54195046,0.00069200224,0.006361059,0.13306463,0.012960611,0.2434515,0.00036968786],"about_ca_topic_score_codex":0.00064413605,"about_ca_topic_score_gemma":0.0010142202,"teacher_disagreement_score":0.004299382,"about_ca_system_score_codex":0.00064191385,"about_ca_system_score_gemma":0.0005631241,"threshold_uncertainty_score":0.022737622},"labels":[],"label_agreement":null},{"id":"W3116889151","doi":"10.1093/jnci/djaa205","title":"Performance of Digital Breast Tomosynthesis, Synthetic Mammography, and Digital Mammography in Breast Cancer Screening: A Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"JNCI Journal of the National Cancer Institute","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Joseph’s Healthcare Hamilton; Ottawa Hospital; Impact; University of Ottawa; Western University; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Meta-analysis; Confidence interval; Breast cancer; Mammography; Internal medicine; Oncology; Digital Breast Tomosynthesis; Digital mammography; Gynecology; Cancer","score_opus":0.05687631790953491,"score_gpt":0.3270142495321182,"score_spread":0.2701379316225833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116889151","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038461324,0.99495304,0.00035171487,0.00016001063,0.00009359731,0.00014802546,0.00029005783,0.000014468148,0.00014305409],"genre_scores_gemma":[0.1791733,0.81442577,0.002990451,0.00092277664,0.0004210338,0.0011024555,0.0007261538,0.000028020697,0.0002101376],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98414487,0.0083673475,0.004004486,0.0016123649,0.0015161189,0.0003548632],"domain_scores_gemma":[0.96434003,0.027442861,0.005254147,0.00088760053,0.0017918852,0.000283462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020046689,0.0029171074,0.01929359,0.0067516696,0.00066014164,0.0034660234,0.002180686,0.002285723,0.002402364],"category_scores_gemma":[0.048686795,0.001610165,0.038336385,0.0068816068,0.00095274934,0.0019438214,0.0014243427,0.001656809,0.00022682633],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023819385,0.000028994435,0.0061072167,0.3890554,0.5880708,0.00010403914,0.00007757789,0.0006513321,0.00021295127,0.00012227689,0.00046708132,0.012720323],"study_design_scores_gemma":[0.0005431329,0.00019292985,0.0038018774,0.024668334,0.9692616,0.000091454705,0.000029821957,0.00018341657,0.00010517381,0.00014302805,0.00095939223,0.00001986637],"about_ca_topic_score_codex":0.0066176057,"about_ca_topic_score_gemma":0.013014976,"teacher_disagreement_score":0.020046689,"about_ca_system_score_codex":0.0028544187,"about_ca_system_score_gemma":0.0038857756,"threshold_uncertainty_score":0.106018305},"labels":[],"label_agreement":null},{"id":"W3118911647","doi":"10.1007/978-3-030-56263-2_7","title":"Artefacts and Pitfalls","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre; Western University","funders":"","keywords":"Subtraction; Visualization; Contrast (vision); Medicine; Iodinated contrast media; Radiology; Computer science; Nuclear medicine; Artificial intelligence; Computer vision; Mathematics","score_opus":0.013819534888443296,"score_gpt":0.22286847379815977,"score_spread":0.2090489389097165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118911647","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019482089,0.030770423,0.0223973,0.0059439517,0.0037794472,0.00006551907,0.000069824484,0.0002692024,0.9347561],"genre_scores_gemma":[0.018917693,0.0131688705,0.01100876,0.0036427227,0.0014170356,0.00004893617,0.00007161098,0.0004280175,0.9512962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99876094,0.00033914283,0.000046692818,0.00011570545,0.00064368104,0.00009395732],"domain_scores_gemma":[0.99829406,0.0009715384,0.000071006805,0.00029851962,0.0002986609,0.00006613086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011950823,0.00089526153,0.000505559,0.0014219526,0.0015395962,0.0055037043,0.0012609792,0.002614782,0.04346914],"category_scores_gemma":[0.0048691244,0.00040458294,0.00048077657,0.0010519896,0.005227165,0.0037234027,0.0033231291,0.004115562,0.022300944],"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":[0.000046944024,0.000034611185,0.00020824799,0.0004914503,0.000009003887,0.0015589634,0.0029772313,0.00053811504,0.0017959394,0.43517694,0.20954898,0.3476136],"study_design_scores_gemma":[0.000003234043,0.00001588311,0.00012067749,0.00034572888,0.0000056231975,0.002927988,0.0004749055,0.00016038635,0.00060252927,0.05255686,0.9427748,0.000011361988],"about_ca_topic_score_codex":0.0011343025,"about_ca_topic_score_gemma":0.002433487,"teacher_disagreement_score":0.04346914,"about_ca_system_score_codex":0.0009045756,"about_ca_system_score_gemma":0.0009732966,"threshold_uncertainty_score":0.1454187},"labels":[],"label_agreement":null},{"id":"W3120002718","doi":"10.1007/s10549-020-06057-8","title":"Association between radiologists’ and facilities’ characteristics and mammography screening detection of ductal carcinoma in situ","year":2021,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hôpital Saint-François d'Assise; Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Medicine; Ductal carcinoma; Confidence interval; Mammography; Odds ratio; Breast cancer; Logistic regression; Radiology; Cancer detection; Cohort; Oncology; Internal medicine; Cancer","score_opus":0.040079363152228945,"score_gpt":0.31295954963310496,"score_spread":0.27288018648087603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120002718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977003,0.00032744347,0.0001547585,0.0002462272,0.000016411805,0.00000477582,0.00044963046,0.000010369488,0.0010900834],"genre_scores_gemma":[0.9995647,0.000037017657,0.00007647412,0.000026118876,0.000019110163,0.0000030905278,0.00014300089,0.00000343493,0.00012703026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958704,0.0015365122,0.0007398629,0.00060318044,0.0005893407,0.0006607549],"domain_scores_gemma":[0.949904,0.023326142,0.018330466,0.0021367702,0.0027570177,0.0035456577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026292482,0.00026045323,0.0003825978,0.002045795,0.00048524787,0.0012271665,0.00089721626,0.001304008,0.004909334],"category_scores_gemma":[0.026337465,0.00044857615,0.0010317276,0.0025782406,0.00061565754,0.0009402968,0.0008742798,0.0011882383,0.00044322078],"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":[0.00008598542,0.000017714183,0.9992261,0.0000043032746,0.000053284322,0.000034686494,0.00003155017,0.000041739466,0.00005082617,0.000011733266,0.00005499777,0.00038705455],"study_design_scores_gemma":[0.0000056127087,0.00007991221,0.9987153,0.000006423831,0.000049966504,0.00026641876,0.00038474018,0.0002855477,0.00004081664,0.000028749746,0.00012911804,0.000007236186],"about_ca_topic_score_codex":0.009599433,"about_ca_topic_score_gemma":0.009825911,"teacher_disagreement_score":0.009599433,"about_ca_system_score_codex":0.0008842945,"about_ca_system_score_gemma":0.0014578694,"threshold_uncertainty_score":0.019087136},"labels":[],"label_agreement":null},{"id":"W3126499918","doi":"","title":"Usporedba protokola kontrole kvalitete mamografskih uređaja u Republici Hrvatskoj s protokolima u drugim državama","year":2020,"lang":"sh","type":"dissertation","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mammography; Medical physics; Digital mammography; Protocol (science); Quality (philosophy); Image quality; European commission; Medicine; Medical physicist; Computer science; Breast cancer; Artificial intelligence; Physics; European union; Business; Cancer; Pathology; Image (mathematics)","score_opus":0.011965100880747934,"score_gpt":0.26659969052594334,"score_spread":0.2546345896451954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126499918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5698659,0.27602345,0.023824047,0.012823546,0.002527204,0.0010557509,0.0030005241,0.0007766433,0.11010308],"genre_scores_gemma":[0.8742969,0.078782335,0.024527112,0.0021817996,0.0005205906,0.00035865756,0.0014721671,0.00020353594,0.017656825],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982926,0.0006671996,0.00018293661,0.0002491181,0.00043144808,0.00017678061],"domain_scores_gemma":[0.9980678,0.00066116283,0.00036305518,0.00027797066,0.000509549,0.00012052549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003635641,0.00027231761,0.00075245096,0.0015252583,0.000777536,0.0026179203,0.0007341494,0.00054465205,0.0038569407],"category_scores_gemma":[0.0031582082,0.00019695371,0.00045832864,0.0015301468,0.0016061638,0.0006819804,0.0014051736,0.0012781043,0.00060430204],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011260936,0.0005993152,0.04555909,0.005043202,0.0001795593,0.0008466422,0.0059490604,0.002531854,0.012051083,0.03281133,0.01161269,0.88169],"study_design_scores_gemma":[0.00017621386,0.0018507241,0.21236885,0.0045351875,0.00046035805,0.0033063379,0.0069390913,0.0011234827,0.015588405,0.006135561,0.74735576,0.0001600327],"about_ca_topic_score_codex":0.00617961,"about_ca_topic_score_gemma":0.008356604,"teacher_disagreement_score":0.00617961,"about_ca_system_score_codex":0.0014633301,"about_ca_system_score_gemma":0.004914445,"threshold_uncertainty_score":0.019227386},"labels":[],"label_agreement":null},{"id":"W3131408561","doi":"10.1117/12.2580774","title":"Theoretical comparison of the detective quantum efficiency of halide lead perovskite, cesium iodide and selenium x-ray imaging detectors","year":2021,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Toronto Metropolitan University","funders":"","keywords":"Detective quantum efficiency; X-ray detector; Optics; Photon; Materials science; Physics; Chemistry; Detector; Image quality","score_opus":0.007945856961754849,"score_gpt":0.2595018026993371,"score_spread":0.2515559457375822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131408561","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72149324,0.0015284661,0.2486966,0.0003374137,0.000027067605,0.000083871724,0.00042647065,0.00068459136,0.026722198],"genre_scores_gemma":[0.9798426,0.00036389558,0.017991016,0.00003674777,0.0000040285368,0.00005615847,0.00012046981,0.000043667074,0.0015413909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997384,0.00003980121,0.000009055354,0.00004819935,0.00013385274,0.00003076033],"domain_scores_gemma":[0.9991953,0.00056596595,0.00003880025,0.000045402518,0.00013927594,0.000015314243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005383798,0.00037170615,0.00040348925,0.00039537047,0.00028782277,0.0006569699,0.00097132986,0.0006484765,0.0011162694],"category_scores_gemma":[0.0020660923,0.00032433195,0.0004702969,0.0004779167,0.0005095393,0.0008471964,0.00028417393,0.0002769172,0.00022930112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018426587,0.00006321708,0.0067525506,0.00018727529,0.00005223316,0.00018351195,0.000116175026,0.9010377,0.03356439,0.043283608,0.0005304522,0.014044571],"study_design_scores_gemma":[0.000014752192,0.00004500102,0.0011632111,0.000010146578,0.000019487663,0.000070989634,0.000030497895,0.97077626,0.023206737,0.0036797815,0.0009665677,0.000016430693],"about_ca_topic_score_codex":0.0039765225,"about_ca_topic_score_gemma":0.0026875124,"teacher_disagreement_score":0.0039765225,"about_ca_system_score_codex":0.002372762,"about_ca_system_score_gemma":0.00064484886,"threshold_uncertainty_score":0.01721561},"labels":[],"label_agreement":null},{"id":"W3132921259","doi":"","title":"Development of ClearPEM-Sonic - A Multimodal Positron Emission Mammograph and Ultrasound Scanner","year":2011,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Scanner; Ultrasound; Positron emission tomography; Computer science; Computer vision; Physics; Nuclear medicine; Acoustics; Artificial intelligence; Medicine","score_opus":0.01677683449759772,"score_gpt":0.2326386947764002,"score_spread":0.21586186027880247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132921259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10108052,0.0044909534,0.872233,0.0012624954,0.00035663744,0.0019860286,0.0008336571,0.0040593124,0.013697398],"genre_scores_gemma":[0.14558035,0.0014239945,0.8360005,0.00092001836,0.00015520855,0.0010121036,0.001997284,0.0008676194,0.012042877],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990632,0.00021808872,0.00007412591,0.0002402291,0.00034274394,0.00006162931],"domain_scores_gemma":[0.9984049,0.00043459414,0.00009681366,0.00021061477,0.00062788307,0.00022534185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037677274,0.0007154257,0.00068150775,0.0013750938,0.00033805193,0.0011571054,0.0024748775,0.0017234143,0.0072318125],"category_scores_gemma":[0.002894958,0.0013096787,0.0006720767,0.0004602162,0.0005125082,0.0020500605,0.0015367944,0.001599213,0.002970222],"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":[0.0011732825,0.00046139825,0.010582578,0.0005865643,0.00021477422,0.001360659,0.00021138135,0.0018228859,0.7313155,0.0065010116,0.0046872436,0.24108271],"study_design_scores_gemma":[0.0007371854,0.003201296,0.01703904,0.0001785936,0.00059138273,0.025804644,0.00020605027,0.046869878,0.76658934,0.0022270011,0.13628846,0.00026712928],"about_ca_topic_score_codex":0.00060284114,"about_ca_topic_score_gemma":0.0011478426,"teacher_disagreement_score":0.0072318125,"about_ca_system_score_codex":0.00043759192,"about_ca_system_score_gemma":0.0014072305,"threshold_uncertainty_score":0.02419281},"labels":[],"label_agreement":null},{"id":"W3156845110","doi":"10.9778/cmajo.20200154","title":"The cost-effectiveness of adding tomosynthesis to mammography-based breast cancer screening: an economic analysis","year":2021,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia; BC Cancer Agency","funders":"","keywords":"Medicine; Breast cancer; Mammography; Breast cancer screening; Quality-adjusted life year; Cohort; Overdiagnosis; Demography; Cost effectiveness; Cancer; Oncology; Internal medicine","score_opus":0.03043958019312311,"score_gpt":0.3312144855407337,"score_spread":0.3007749053476106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156845110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.962966,0.0055041984,0.009445395,0.0023479506,0.00009553124,0.0012233908,0.0043517216,0.000058145954,0.014007524],"genre_scores_gemma":[0.99480766,0.0011579507,0.0023320974,0.00016595477,0.000014584861,0.00022746972,0.0005506377,0.0000074390164,0.0007362376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963593,0.002554461,0.00012156981,0.00018949217,0.00031952406,0.00045559014],"domain_scores_gemma":[0.9895349,0.008872653,0.00053074595,0.00018314322,0.00054235244,0.00033623507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070390557,0.0016091058,0.0020363193,0.0021433206,0.00067643984,0.002218926,0.0016930165,0.0017074578,0.0044788285],"category_scores_gemma":[0.021768495,0.0010689384,0.003544105,0.002118256,0.00089897733,0.0015125544,0.0012210307,0.0024340127,0.00017747672],"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":[0.004157941,0.00035265373,0.012511732,0.00077072653,0.0016078901,0.00023311701,0.000052286792,0.9638638,0.00029180894,0.0031800494,0.00094547996,0.012032479],"study_design_scores_gemma":[0.0019290962,0.0024288276,0.020875398,0.00060084515,0.00507791,0.00027799822,0.00027917977,0.9588152,0.00056628085,0.006655029,0.00236889,0.00012539054],"about_ca_topic_score_codex":0.12135392,"about_ca_topic_score_gemma":0.07215101,"teacher_disagreement_score":0.12135392,"about_ca_system_score_codex":0.017167816,"about_ca_system_score_gemma":0.0069675986,"threshold_uncertainty_score":0.24129516},"labels":[],"label_agreement":null},{"id":"W3158259118","doi":"10.1002/mp.14911","title":"Technical Note: Volumetric coverage in breast tomosynthesis images — Phantom QC results from the TMIST study","year":2021,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute","keywords":"Tomosynthesis; Imaging phantom; Mammography; Breast imaging; Iterative reconstruction; Medical imaging; Nuclear medicine; Computer science; Medicine; Artificial intelligence; Breast cancer","score_opus":0.011271132803898881,"score_gpt":0.2681877015091799,"score_spread":0.256916568705281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158259118","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9012525,0.0010748692,0.08888269,0.00082431507,0.00014638259,0.0008920787,0.00091215305,0.0013203765,0.004694721],"genre_scores_gemma":[0.9261161,0.00021586896,0.068446465,0.00045269978,0.00008682781,0.0004164415,0.0014410545,0.000561752,0.0022628072],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99312055,0.0025132033,0.0007530602,0.00043118082,0.0030539758,0.0001280825],"domain_scores_gemma":[0.94827634,0.02741042,0.0034225483,0.0075403713,0.012724493,0.00062588195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013179061,0.00047423705,0.0003707883,0.00092520856,0.00038682212,0.00045195446,0.0012002096,0.0006135195,0.0032898274],"category_scores_gemma":[0.04841961,0.00034145158,0.0004363009,0.00069077284,0.0006915356,0.0004485582,0.0006178651,0.00031177112,0.0008415426],"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":[0.011874624,0.0010637109,0.288796,0.0013635685,0.00034961305,0.003815425,0.0030709596,0.0075942893,0.4894466,0.000707928,0.0063613253,0.18555596],"study_design_scores_gemma":[0.00036572653,0.011404142,0.19470981,0.000073772084,0.00048664326,0.021677684,0.00028499984,0.0117630465,0.74263823,0.00031425865,0.016166965,0.000114771115],"about_ca_topic_score_codex":0.0013560363,"about_ca_topic_score_gemma":0.0017362342,"teacher_disagreement_score":0.013179061,"about_ca_system_score_codex":0.0004709701,"about_ca_system_score_gemma":0.00045954986,"threshold_uncertainty_score":0.06969839},"labels":[],"label_agreement":null},{"id":"W3161687379","doi":"10.1093/jncics/pkab015","title":"Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk","year":2021,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Breast Cancer Research Foundation; Division of Cancer Epidemiology and Genetics, National Cancer Institute; U.S. Department of Health and Human Services","keywords":"Medicine; Breast cancer; Breast tissue; Radiology; Pathology; Oncology; Internal medicine; Cancer","score_opus":0.013422580713231816,"score_gpt":0.2726252269407217,"score_spread":0.2592026462274899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161687379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967024,0.0004694205,0.001569198,0.000056208348,0.000006830692,0.0000121399435,0.00064749236,0.00002523528,0.00051121117],"genre_scores_gemma":[0.9989722,0.000039060767,0.00060321204,0.0000069649786,0.0000057979305,0.000005123057,0.00026704115,0.0000031505879,0.00009735423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994153,0.00020945053,0.000057170666,0.00014655342,0.00012416234,0.00004741328],"domain_scores_gemma":[0.9954723,0.001436157,0.0020373242,0.0003273498,0.00048931607,0.00023767147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012517716,0.00025938047,0.00016223783,0.0011518323,0.00015104064,0.00066649646,0.00028560968,0.0002905113,0.0015454361],"category_scores_gemma":[0.00516286,0.00017487367,0.000269276,0.0007235038,0.00027626904,0.00030123518,0.0004015905,0.00033291834,0.00015571991],"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":[0.000081687314,0.00001012944,0.9970036,0.000010191696,0.000051610823,0.000013353401,0.000010060969,0.00018308325,0.0005316137,0.000024196934,0.000051928426,0.0020284804],"study_design_scores_gemma":[0.000003393017,0.00003625049,0.9972705,0.0000046857535,0.000029317538,0.00018784306,0.000055278455,0.0017963583,0.0003909207,0.00009777612,0.0001247543,0.0000029959579],"about_ca_topic_score_codex":0.0027008795,"about_ca_topic_score_gemma":0.0023691526,"teacher_disagreement_score":0.0027008795,"about_ca_system_score_codex":0.00030330723,"about_ca_system_score_gemma":0.00019301982,"threshold_uncertainty_score":0.006620109},"labels":[],"label_agreement":null},{"id":"W3162147027","doi":"","title":"Design of an Adjustable Anti-Scatter Grid for Tomosynthesis Mammography","year":2013,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mammography; Computer science; Grid; Computer vision; Medical physics; Medicine; Mathematics; Breast cancer; Geometry; Cancer","score_opus":0.01666660665853054,"score_gpt":0.19873200668798663,"score_spread":0.1820654000294561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162147027","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17539017,0.0007575816,0.80031306,0.00061955757,0.00031406333,0.00063293206,0.00043811623,0.0061706007,0.015363949],"genre_scores_gemma":[0.49645293,0.0003539742,0.49419695,0.00031394177,0.000040313396,0.00026266964,0.00033368828,0.00035143818,0.007694039],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999587,0.000078048906,0.000036152054,0.00008520551,0.0001585594,0.00005505112],"domain_scores_gemma":[0.99901557,0.00014382089,0.00015518731,0.0001525378,0.0004103947,0.00012247034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045265185,0.00047724976,0.00037927608,0.0006921369,0.00035810654,0.0008041269,0.0012403859,0.0005463369,0.0027518258],"category_scores_gemma":[0.001091489,0.00042583284,0.00028315326,0.0006121814,0.0002672934,0.00047841424,0.00073191413,0.00028148876,0.0014300211],"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":[0.0028117658,0.00034252688,0.034756143,0.00093880063,0.00012991446,0.0020788831,0.00077310513,0.03857606,0.602074,0.010795534,0.013860906,0.29286233],"study_design_scores_gemma":[0.00060107914,0.005015037,0.043182038,0.00035589887,0.00040952678,0.0058731083,0.0005229587,0.21896765,0.584322,0.0039449893,0.13643546,0.0003702883],"about_ca_topic_score_codex":0.0010670485,"about_ca_topic_score_gemma":0.0017149631,"teacher_disagreement_score":0.0027518258,"about_ca_system_score_codex":0.00056945917,"about_ca_system_score_gemma":0.0007261335,"threshold_uncertainty_score":0.009205759},"labels":[],"label_agreement":null},{"id":"W3164056063","doi":"10.1007/s00330-021-07999-3","title":"Is there any added value to substitute the 2D digital MLO projection for a MLO tomosynthesis projection and its synthetic view when a 2D standard digital mammography is used in a one-stop-shop immediate reading mammography screening?","year":2021,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Centre hospitalier universitaire de Québec","funders":"","keywords":"Tomosynthesis; Projection (relational algebra); Medicine; Digital mammography; Interventional radiology; Computer vision; Digital Breast Tomosynthesis; Radiology; Neuroradiology; Mammography; Medical physics; Artificial intelligence; Nuclear medicine; Computer science; Algorithm; Breast cancer","score_opus":0.02908252474989442,"score_gpt":0.2601974362731548,"score_spread":0.23111491152326036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164056063","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14211711,0.18860117,0.05989626,0.41269356,0.068431035,0.00045249975,0.0022031844,0.0027515076,0.122853674],"genre_scores_gemma":[0.5834429,0.09677109,0.15725984,0.07868134,0.05006905,0.00021854269,0.0022982797,0.0010450239,0.03021385],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971602,0.00091264315,0.00025106498,0.0002190287,0.0012487113,0.00020832744],"domain_scores_gemma":[0.9657507,0.016426684,0.0022270675,0.0037084976,0.010008987,0.0018780744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051330714,0.0011653501,0.0013502107,0.0014192348,0.00038011384,0.0034715086,0.0028893778,0.0050751637,0.034133457],"category_scores_gemma":[0.064439304,0.0005302507,0.0016256277,0.0011877589,0.0021365606,0.005046317,0.0011891683,0.0029127237,0.010149341],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004631983,0.0007037163,0.030573353,0.0036511922,0.00047372276,0.0027069596,0.0002644297,0.0015698688,0.0063679265,0.009883321,0.055063527,0.8841101],"study_design_scores_gemma":[0.0013388727,0.004588312,0.11195751,0.008625998,0.0032568616,0.0711236,0.0045869974,0.018385606,0.015536593,0.08064671,0.67910177,0.00085110904],"about_ca_topic_score_codex":0.002373466,"about_ca_topic_score_gemma":0.0034493464,"teacher_disagreement_score":0.034133457,"about_ca_system_score_codex":0.0008121197,"about_ca_system_score_gemma":0.0015637768,"threshold_uncertainty_score":0.11418784},"labels":[],"label_agreement":null},{"id":"W3165299490","doi":"10.9778/cmajo.20200211","title":"Evaluation of the quality of mammographic breast positioning: a quality improvement study","year":2021,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; International Medias Data Services (Canada); Jewish General Hospital; University of Toronto","funders":"Canadian Institutes of Health Research; Biogen; Pfizer; Amgen","keywords":"Mammography; Medicine; Medical physics; Certification; Context (archaeology); Confidence interval; Breast imaging; Quality assurance; Population; Breast cancer; Environmental health; External quality assessment; Internal medicine; Pathology","score_opus":0.08150446086567702,"score_gpt":0.4047114322694525,"score_spread":0.32320697140377547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165299490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98122394,0.004622161,0.0066020624,0.00096975605,0.000047411744,0.0018897996,0.0014198303,0.00009561018,0.003129414],"genre_scores_gemma":[0.9934837,0.00064986286,0.004491713,0.00014911381,0.0000310252,0.00034262403,0.0005838086,0.000009589614,0.00025857773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.978819,0.0084293885,0.0023113345,0.0015283102,0.008153666,0.0007583498],"domain_scores_gemma":[0.8515148,0.025899107,0.050180975,0.005460176,0.062748775,0.004196049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03623817,0.00037494517,0.00051718345,0.002943504,0.0008640704,0.0012021975,0.0012776697,0.00049317325,0.00084997877],"category_scores_gemma":[0.066610835,0.00028392073,0.00077634514,0.004824703,0.0012672342,0.00067027134,0.0009700301,0.00044927243,0.00010099482],"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":[0.00063538394,0.00023214906,0.95231473,0.0004800557,0.0003585865,0.00002814172,0.0012233518,0.0003675276,0.00032207998,0.000057293702,0.0007259708,0.043254662],"study_design_scores_gemma":[0.00006127356,0.00082978234,0.99659735,0.00011060778,0.00013934147,0.00004035312,0.00041702198,0.0005691655,0.0002710006,0.0000152862,0.00093337125,0.00001551727],"about_ca_topic_score_codex":0.19214718,"about_ca_topic_score_gemma":0.20725413,"teacher_disagreement_score":0.19214718,"about_ca_system_score_codex":0.011393944,"about_ca_system_score_gemma":0.010252738,"threshold_uncertainty_score":0.38205755},"labels":[],"label_agreement":null},{"id":"W3178074418","doi":"10.3390/curroncol28040232","title":"The Usefulness of Spectral Mammography in Surgical Planning of Breast Cancer Treatment—Analysis of 999 Patients with Primary Operable Breast Cancer","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Predictive value; Radiology; Cancer; Mastectomy; Oncology; Breast-conserving surgery; Radiation treatment planning; Digital mammography; Internal medicine; Radiation therapy","score_opus":0.03798921949257702,"score_gpt":0.33902979011859324,"score_spread":0.30104057062601625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178074418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995036,0.00012453312,0.00009059259,0.000011990375,0.0000016086284,0.0000039298225,0.00008317098,0.0000019543138,0.00017857543],"genre_scores_gemma":[0.99971074,0.000052687577,0.000074814045,0.000005270523,0.000004003291,0.0000028720235,0.00010475518,8.68445e-7,0.000043914395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963653,0.00010529425,0.00005609088,0.00008022489,0.0000800682,0.000041677755],"domain_scores_gemma":[0.9991923,0.00035593586,0.00021691356,0.000068570655,0.00008639736,0.0000799757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004600947,0.00017846451,0.00022332139,0.0008767775,0.00022924186,0.00036865115,0.00020324318,0.00029687272,0.000798894],"category_scores_gemma":[0.0029193899,0.00021094439,0.00023062674,0.000611558,0.00020850323,0.00028430996,0.00028600806,0.00022384708,0.00023464179],"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":[0.000097631775,0.000015661462,0.99694794,0.0000063641874,0.000011714197,0.00012574448,0.00004352087,0.000043418266,0.00041634974,0.000006331497,0.000026715134,0.0022586116],"study_design_scores_gemma":[0.0000045115735,0.00011002266,0.9975332,0.000002804339,0.000023638751,0.0011966077,0.0001331781,0.00044090897,0.00033518203,0.000016913538,0.00019992114,0.0000031659263],"about_ca_topic_score_codex":0.0011461972,"about_ca_topic_score_gemma":0.0013410822,"teacher_disagreement_score":0.0011461972,"about_ca_system_score_codex":0.00017939399,"about_ca_system_score_gemma":0.0001620716,"threshold_uncertainty_score":0.002672553},"labels":[],"label_agreement":null},{"id":"W3180923929","doi":"10.1177/08465371211025229","title":"Digital Breast Tomosynthesis: Potential Benefits in Routine Clinical Practice","year":2021,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","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":"St. Michael's Hospital; Sinai Health System; Women's College Hospital; University of Toronto; University Health Network","funders":"","keywords":"Tomosynthesis; Medicine; Digital Breast Tomosynthesis; Clinical Practice; Radiology; Medical physics; Breast imaging; Workflow; Breast cancer; Mammography; Cancer; Computer science; Internal medicine; Physical therapy","score_opus":0.03224515736321903,"score_gpt":0.3382978681123768,"score_spread":0.30605271074915774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180923929","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012870916,0.9965377,0.0001591228,0.0012861879,0.00019408297,0.0000045144357,0.000018509258,0.000007941813,0.0016632077],"genre_scores_gemma":[0.0013380437,0.9971902,0.00041005132,0.00041212974,0.0003221444,0.0000040848613,0.000023029987,0.0000016648887,0.00029867308],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930334,0.00012913937,0.00009371358,0.000086111795,0.0003458465,0.00004182251],"domain_scores_gemma":[0.9964011,0.0016779873,0.0003749298,0.000068502726,0.001307577,0.00017003197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018012149,0.00075258757,0.0011453043,0.004158062,0.00039877908,0.0018373923,0.0010477853,0.0015777159,0.0043566674],"category_scores_gemma":[0.0051671057,0.00024645834,0.0005055565,0.0031278755,0.0011681102,0.0018235997,0.00084674195,0.0019346293,0.0015118762],"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":[0.000032663815,0.000035165223,0.0005797696,0.012186747,0.000037566148,0.00031640826,0.00012116884,0.00017635527,0.00033363167,0.0027503269,0.020281913,0.96314836],"study_design_scores_gemma":[0.000013282678,0.00007043591,0.0036468597,0.018633999,0.00013199191,0.004060739,0.00030213103,0.00013546548,0.0002480517,0.0030452192,0.96966773,0.000044040396],"about_ca_topic_score_codex":0.011706601,"about_ca_topic_score_gemma":0.019140238,"teacher_disagreement_score":0.011706601,"about_ca_system_score_codex":0.0018205903,"about_ca_system_score_gemma":0.004474143,"threshold_uncertainty_score":0.023276925},"labels":[],"label_agreement":null},{"id":"W3182220948","doi":"10.1177/09691413211032265","title":"Impact of switching from digital mammography to tomosynthesis plus digital mammography on breast cancer screening in Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Screening","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Medicine; Digital Breast Tomosynthesis; Mammography; Breast cancer; Digital mammography; Breast cancer screening; Nuclear medicine; Cancer; Internal medicine; Radiology","score_opus":0.009811768173650677,"score_gpt":0.2721676777593488,"score_spread":0.2623559095856981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182220948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98836106,0.0016822825,0.00013173715,0.002172394,0.00005832202,0.00009977223,0.0013717852,0.00004411169,0.0060785697],"genre_scores_gemma":[0.9959687,0.00076371455,0.00031591678,0.0006893864,0.00002022252,0.000016868213,0.0007587512,0.00000847338,0.0014580565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997152,0.000331392,0.0001109333,0.00025253804,0.00113424,0.001018954],"domain_scores_gemma":[0.9956527,0.00041765464,0.00063465093,0.000090953436,0.0015310529,0.0016730436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001429275,0.00033380982,0.00028406666,0.0009496007,0.0017646722,0.0014008564,0.0017781858,0.0004970666,0.0015449271],"category_scores_gemma":[0.0053632604,0.0002711055,0.00041452728,0.00165461,0.0007908756,0.00031080807,0.0012163376,0.00075435464,0.000121883924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007288299,0.0002895602,0.95256096,0.00013005418,0.00008765866,0.00039446322,0.0008709913,0.001239483,0.0009387909,0.00031932557,0.0040035313,0.03843636],"study_design_scores_gemma":[0.000052116397,0.00016833394,0.9946406,0.00008356196,0.000057687812,0.00011476388,0.0015964758,0.0008148972,0.00019970998,0.000038994312,0.0022120136,0.000020902587],"about_ca_topic_score_codex":0.99523157,"about_ca_topic_score_gemma":0.997013,"teacher_disagreement_score":0.05426146,"about_ca_system_score_codex":0.05426146,"about_ca_system_score_gemma":0.07525038,"threshold_uncertainty_score":0.3936963},"labels":[],"label_agreement":null},{"id":"W3193927937","doi":"10.1007/s10278-021-00491-w","title":"A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images","year":2021,"lang":"en","type":"article","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Cancer Institute; National Institutes of Health","keywords":"DICOM; Computer science; Metadata; Pipeline (software); Pipeline transport; Segmentation; Artificial intelligence; Plug-in; Data mining; Operating system","score_opus":0.00885083566090888,"score_gpt":0.2802640664517045,"score_spread":0.2714132307907956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193927937","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006913821,0.00040035596,0.8573036,0.00034872477,0.000100875826,0.0005619677,0.006129016,0.13116919,0.0032947809],"genre_scores_gemma":[0.02199246,0.000662126,0.93735516,0.00073932373,0.00011893453,0.0018400461,0.01648871,0.017500645,0.0033026864],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974866,0.0004122328,0.0004431299,0.00039780722,0.0010705575,0.000189659],"domain_scores_gemma":[0.995793,0.0013457434,0.00035442787,0.00097300776,0.0013304553,0.00020333903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005290282,0.0026206058,0.0013983919,0.0051384754,0.0010163205,0.0034842836,0.0058064093,0.0020306662,0.026017925],"category_scores_gemma":[0.015455532,0.0020692735,0.0029845836,0.0028832313,0.0010594199,0.0031513986,0.0035341445,0.003050972,0.011870407],"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":[0.0008898271,0.00021733154,0.0026059237,0.0023481434,0.0006462865,0.0008768984,0.000770109,0.045660306,0.016445462,0.061595153,0.44599435,0.42195028],"study_design_scores_gemma":[0.0005726993,0.00024698896,0.0025487724,0.0006480662,0.0001738691,0.0012915564,0.0001704127,0.36557624,0.0571304,0.056717005,0.5145148,0.0004093337],"about_ca_topic_score_codex":0.010925022,"about_ca_topic_score_gemma":0.0146499025,"teacher_disagreement_score":0.026017925,"about_ca_system_score_codex":0.0019799457,"about_ca_system_score_gemma":0.0040285634,"threshold_uncertainty_score":0.087038636},"labels":[],"label_agreement":null},{"id":"W3194856501","doi":"10.1177/08465371211031186","title":"The Impact of Radiologist Screening Mammogram Reading Volume on Performance in the Ontario Breast Screening Program","year":2021,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Grand River Hospital; Cancer Care Ontario; McMaster University; Entomological Society of Canada; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Mammography; Logistic regression; Breast cancer screening; Retrospective cohort study; Digital mammography; Breast cancer; Screening mammography; Multivariate analysis; Predictive value; Radiology; Cancer; Internal medicine","score_opus":0.015246763262874137,"score_gpt":0.2722343582811041,"score_spread":0.25698759501822993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194856501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99629897,0.00039545758,0.00008530772,0.00056501385,0.000009567655,0.000014739352,0.0009637925,0.000013576042,0.0016536291],"genre_scores_gemma":[0.9993231,0.00008868485,0.000055869175,0.000030298586,0.000005553703,0.0000047797994,0.00027681037,0.0000025791796,0.00021222472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998519,0.00029672135,0.000082612765,0.00019391805,0.00061409484,0.00029362884],"domain_scores_gemma":[0.9935855,0.0011729363,0.002826081,0.00026127778,0.0013121207,0.00084207085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010130709,0.00016343183,0.00017763484,0.00064397644,0.00057706836,0.00063431315,0.0008314403,0.00029206843,0.0013904752],"category_scores_gemma":[0.012248739,0.00023923867,0.00029685747,0.0010987049,0.0005067171,0.00036479553,0.0005382962,0.00030969857,0.00015864545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005155748,0.000013924469,0.99741226,0.000011687453,0.00002028744,0.000029243849,0.00013355125,0.00007083802,0.000052038322,0.000012882918,0.00035066807,0.0018411169],"study_design_scores_gemma":[0.000002140119,0.000014470478,0.9995579,0.0000067739547,0.000008809249,0.000025908546,0.000082739505,0.00013266903,0.000018333038,0.00000512241,0.00014356794,0.0000015176381],"about_ca_topic_score_codex":0.83344823,"about_ca_topic_score_gemma":0.8770043,"teacher_disagreement_score":0.16655177,"about_ca_system_score_codex":0.007381388,"about_ca_system_score_gemma":0.0062884656,"threshold_uncertainty_score":0.3350652},"labels":[],"label_agreement":null},{"id":"W3195245665","doi":"10.1148/radiol.2021210104","title":"Is It Really Time to Close the Chapter on Screening Breast US?","year":2021,"lang":"en","type":"letter","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","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 British Columbia","funders":"","keywords":"Medicine","score_opus":0.02099307115714083,"score_gpt":0.2607896128777478,"score_spread":0.239796541720607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195245665","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023822294,0.00050288986,0.00004971268,0.98322487,0.012466739,0.000010862209,0.00002137335,0.000012069587,0.0034732826],"genre_scores_gemma":[0.0018366944,0.0009576437,0.00022051128,0.94403446,0.0389324,0.000028742064,0.000022560162,0.000026608568,0.013940385],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99666256,0.0009938837,0.00040265475,0.0003308792,0.0009615612,0.000648428],"domain_scores_gemma":[0.99038506,0.003792965,0.0005453583,0.00020525242,0.0018170275,0.0032544078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028608986,0.0008753001,0.001342959,0.00093236635,0.006422839,0.005071467,0.0016058268,0.063386284,0.017200634],"category_scores_gemma":[0.021173874,0.0009254638,0.0012724312,0.00076185126,0.0028738163,0.0055566584,0.0021941043,0.05136521,0.009393833],"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":[0.000039286875,0.00006478176,0.00094821793,0.000045680525,0.000008909432,0.003595098,0.00014268584,0.000049723356,0.00015725438,0.0022837294,0.9859104,0.0067541585],"study_design_scores_gemma":[0.000100461846,0.000103990955,0.0021156895,0.000662281,0.000025517082,0.005976809,0.0014680544,0.0005297348,0.00012412129,0.011002001,0.97780985,0.00008159782],"about_ca_topic_score_codex":0.012369679,"about_ca_topic_score_gemma":0.027164984,"teacher_disagreement_score":0.063386284,"about_ca_system_score_codex":0.005120531,"about_ca_system_score_gemma":0.0077369586,"threshold_uncertainty_score":0.057541788},"labels":[],"label_agreement":null},{"id":"W3196485133","doi":"10.1177/08465371211029047","title":"Current Status of Contrast Enhanced Mammography: A Comprehensive Review","year":2021,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; Western University","funders":"","keywords":"Medicine; Mammography; Medical physics; Modality (human–computer interaction); Digital mammography; Magnetic resonance imaging; Radiology; Dynamic contrast; Breast cancer; Cancer; Computer science; Artificial intelligence","score_opus":0.03706750512442769,"score_gpt":0.34113922817824693,"score_spread":0.30407172305381924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196485133","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005141412,0.9991881,0.000047232294,0.00024363898,0.0001087052,0.0000031868528,0.000014763568,0.0000048585503,0.000338018],"genre_scores_gemma":[0.00035859848,0.9990569,0.00013023397,0.00014119368,0.0001819977,0.0000033761085,0.000024227811,0.0000011335735,0.000102389335],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938166,0.000114786024,0.00014887148,0.00008925106,0.00022679286,0.000038494953],"domain_scores_gemma":[0.9975795,0.0013817643,0.00032125114,0.000045222838,0.0005873822,0.00008494652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014033527,0.0008815839,0.0015739894,0.0049912063,0.0003222057,0.0015031585,0.001138161,0.001084419,0.005316752],"category_scores_gemma":[0.0035734265,0.00039535688,0.00080719736,0.004122964,0.000541369,0.0018454372,0.00069178175,0.0012442281,0.0016744433],"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":[0.00006108869,0.00003627966,0.00039391176,0.04127392,0.00011577042,0.00025706622,0.00008196959,0.00014947909,0.00056930253,0.0011621267,0.02807724,0.92782193],"study_design_scores_gemma":[0.000017854009,0.00010023672,0.0019065246,0.02980856,0.0005174073,0.0037728096,0.00014598228,0.000105974,0.00033575302,0.0011174554,0.9621249,0.00004648464],"about_ca_topic_score_codex":0.0028670495,"about_ca_topic_score_gemma":0.003962069,"teacher_disagreement_score":0.005316752,"about_ca_system_score_codex":0.0008439594,"about_ca_system_score_gemma":0.0027147736,"threshold_uncertainty_score":0.017786324},"labels":[],"label_agreement":null},{"id":"W3197182742","doi":"10.3390/curroncol28050298","title":"Contrast-Enhanced Spectral Mammography Assessment of Patients Treated with Neoadjuvant Chemotherapy for Breast Cancer","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Mammography; Chemotherapy; Subtraction; Radiology; Neoadjuvant therapy; Nuclear medicine; Cancer; Oncology; Internal medicine","score_opus":0.026724011490172814,"score_gpt":0.36474992850130133,"score_spread":0.3380259170111285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197182742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988262,0.0005126558,0.00011861058,0.000019438503,0.0000023077462,0.000008585666,0.00007037705,0.0000033614806,0.00043858495],"genre_scores_gemma":[0.999503,0.0001368418,0.00018113232,0.000011535368,0.0000048983156,0.0000058479313,0.0000900601,9.146473e-7,0.00006582124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997334,0.000091203394,0.00005082875,0.0000392004,0.000060817867,0.000024666862],"domain_scores_gemma":[0.9992368,0.00020486665,0.00033294072,0.000040649196,0.00013188187,0.000052845025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004820656,0.00017685439,0.00024606363,0.0006356515,0.00013451593,0.0002478016,0.00015140517,0.00023232504,0.00090535986],"category_scores_gemma":[0.0022286824,0.00009934504,0.00013233189,0.00034868103,0.00016720893,0.00019844856,0.0001654302,0.00012839779,0.00019501924],"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":[0.0003300371,0.000032780412,0.9917681,0.000034186636,0.000018700886,0.00031103505,0.000056508583,0.000037000966,0.0025831244,0.00000945909,0.00005064914,0.004768519],"study_design_scores_gemma":[0.0000066975754,0.0003143971,0.99364215,0.00000952069,0.000046005756,0.0038929377,0.0001348149,0.00019861253,0.0014026623,0.000017931128,0.00033091687,0.0000032857063],"about_ca_topic_score_codex":0.00029268587,"about_ca_topic_score_gemma":0.00046293973,"teacher_disagreement_score":0.00090535986,"about_ca_system_score_codex":0.00013302418,"about_ca_system_score_gemma":0.00013145152,"threshold_uncertainty_score":0.0030287504},"labels":[],"label_agreement":null},{"id":"W3200830032","doi":"10.1148/radiol.2021211788","title":"Breast Density and Tomosynthesis","year":2021,"lang":"en","type":"letter","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Breast cancer; Mammography; Breast density; Digital mammography; Breast imaging; Medical physics; Family medicine; Cancer; Internal medicine","score_opus":0.010984607612809637,"score_gpt":0.2228823764094201,"score_spread":0.21189776879661046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200830032","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021091055,0.0012442892,0.00018741025,0.95766926,0.011940524,0.000039182672,0.000074150295,0.000033452863,0.026702687],"genre_scores_gemma":[0.02103227,0.002650864,0.00066589477,0.85891736,0.05202802,0.00008168908,0.00007636599,0.00006345289,0.06448413],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998473,0.00038154324,0.00017610744,0.00018935707,0.00033106477,0.00044893604],"domain_scores_gemma":[0.9962142,0.0018279294,0.0002268178,0.00014734468,0.00058137276,0.0010023144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014362077,0.00093626097,0.0009867366,0.0011458304,0.007303694,0.0042081783,0.001789515,0.08066191,0.01645188],"category_scores_gemma":[0.013262464,0.0011799824,0.001316717,0.0008422679,0.0023434234,0.002503949,0.0017666809,0.039812446,0.0057744617],"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":[0.00011904408,0.000107312546,0.0036279676,0.00007365931,0.000027794422,0.06123549,0.00037939203,0.00027179724,0.0005283595,0.0101324115,0.90976554,0.01373122],"study_design_scores_gemma":[0.00013601645,0.00013191666,0.0053647,0.0006149776,0.000077267956,0.039266065,0.0013356098,0.0018520918,0.0005026465,0.021351263,0.92926943,0.000097886405],"about_ca_topic_score_codex":0.017803306,"about_ca_topic_score_gemma":0.04501538,"teacher_disagreement_score":0.08066191,"about_ca_system_score_codex":0.0057562226,"about_ca_system_score_gemma":0.0052120993,"threshold_uncertainty_score":0.055036962},"labels":[],"label_agreement":null},{"id":"W3201228382","doi":"10.1177/08465371211038765","title":"Digital Breast Tomosynthesis: One Step Forward","year":2021,"lang":"en","type":"letter","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Digital Breast Tomosynthesis; Tomosynthesis; Medical physics; Radiology; Mammography; Breast cancer; Internal medicine","score_opus":0.01294419679528634,"score_gpt":0.21811352015496907,"score_spread":0.20516932335968274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201228382","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034285354,0.0014224316,0.00016899478,0.9832303,0.010571421,0.000010253184,0.000022835497,0.000024832203,0.0042060995],"genre_scores_gemma":[0.010735124,0.006427927,0.0018770131,0.812309,0.15397862,0.00003764306,0.00009295917,0.000043625005,0.014498031],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970264,0.00061278115,0.00039811205,0.00038916932,0.0010602468,0.00051318173],"domain_scores_gemma":[0.9884942,0.004374028,0.0004914645,0.00034258614,0.0028601235,0.003437501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002569429,0.0009591742,0.0012104812,0.001528184,0.004238972,0.0049835937,0.0021319676,0.0639398,0.014860402],"category_scores_gemma":[0.01808781,0.0007630014,0.0016150376,0.0007119597,0.0037004205,0.006166192,0.00199132,0.049258053,0.0063836253],"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":[0.000086613436,0.00009629118,0.0014922704,0.00011740632,0.000023348935,0.018028874,0.00013885355,0.00015058389,0.0004989447,0.005518606,0.9525854,0.021262776],"study_design_scores_gemma":[0.00023081925,0.0001582514,0.0029847405,0.0012354157,0.000071233844,0.034876805,0.0010362136,0.001327007,0.00026840923,0.023827072,0.93385,0.00013414839],"about_ca_topic_score_codex":0.015022577,"about_ca_topic_score_gemma":0.038641468,"teacher_disagreement_score":0.0639398,"about_ca_system_score_codex":0.0077586854,"about_ca_system_score_gemma":0.008243611,"threshold_uncertainty_score":0.056293488},"labels":[],"label_agreement":null},{"id":"W3202012131","doi":"10.1016/j.jacr.2021.07.015","title":"Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 2: Annotation, Curation, and Contracting","year":2021,"lang":"en","type":"article","venue":"Journal of the American College of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Institute of Biomedical Imaging and Bioengineering; National Academy of Medicine; University of Chicago; Johnson and Johnson; AbbVie; Radiological Society of North America; National Institutes of Health; Aid for Cancer Research; Medtronic; American Lung Association; American College of Physicians; American College of Radiology Imaging Network; Genentech; Philips; International Association for the Study of Lung Cancer; Association of American Medical Colleges; American Thoracic Society; American Cancer Society","keywords":"Workgroup; Data sharing; General partnership; Health care; Information sharing; Health Insurance Portability and Accountability Act; Computer science; Internet privacy; Data science; Business; Knowledge management; Medicine; Confidentiality; Computer security; Political science; World Wide Web; Law","score_opus":0.04148003694997992,"score_gpt":0.3484710262705795,"score_spread":0.3069909893205996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202012131","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19748361,0.0152209345,0.27611002,0.32273912,0.003575537,0.02520478,0.073472075,0.00643193,0.079762064],"genre_scores_gemma":[0.3512798,0.013761563,0.45442238,0.025158536,0.0019566915,0.014534687,0.12075172,0.004154681,0.013980024],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.80014944,0.097395025,0.0226423,0.00629579,0.06587543,0.007642086],"domain_scores_gemma":[0.44887432,0.22680746,0.0554303,0.105372354,0.13737349,0.02614214],"candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.24381015,0.0015580411,0.0019201263,0.013876093,0.008949747,0.01082346,0.00982986,0.003775367,0.003445796],"category_scores_gemma":[0.23120715,0.0013428215,0.0028318965,0.02400751,0.0054090363,0.011481963,0.016015684,0.005492287,0.001640123],"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":[0.0014090892,0.0013274447,0.1271123,0.0053454214,0.0006966011,0.00083221134,0.02799959,0.008847201,0.011966014,0.05306157,0.30088612,0.4605164],"study_design_scores_gemma":[0.00029319196,0.00062118657,0.17321394,0.0056705913,0.000566454,0.0013943901,0.031357236,0.01693789,0.02091597,0.026875855,0.7216169,0.0005362542],"about_ca_topic_score_codex":0.08475187,"about_ca_topic_score_gemma":0.05192602,"teacher_disagreement_score":0.9901701,"about_ca_system_score_codex":0.013773649,"about_ca_system_score_gemma":0.08371095,"threshold_uncertainty_score":0.9325167},"labels":[],"label_agreement":null},{"id":"W3203750400","doi":"10.3390/curroncol28050341","title":"Multifocality and Multicentrality in Breast Cancer: Comparison of the Efficiency of Mammography, Contrast-Enhanced Spectral Mammography, and Magnetic Resonance Imaging in a Group of Patients with Primarily Operable Breast Cancer","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Breast cancer; Magnetic resonance imaging; Radiology; Cancer; Mastectomy; Breast MRI; Inflammatory breast cancer; Internal medicine","score_opus":0.015343866489951967,"score_gpt":0.3135659575648951,"score_spread":0.29822209107494313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203750400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988555,0.00075079437,0.0000972547,0.0000203166,0.0000023545458,0.0000067626383,0.000021615135,0.0000035436376,0.00024179088],"genre_scores_gemma":[0.9995859,0.00016508588,0.00016084802,0.000007658862,0.000009283153,0.000003095667,0.000036515183,0.0000011653987,0.000030454547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991886,0.00029598677,0.000111476445,0.00013682706,0.0002010242,0.00006604736],"domain_scores_gemma":[0.9957302,0.0019240564,0.0015531279,0.00017730167,0.00034407424,0.00027124473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016624832,0.00027160274,0.0003497482,0.0018546291,0.00017829816,0.0004258257,0.000261746,0.0004540038,0.00042452934],"category_scores_gemma":[0.008513114,0.00019516789,0.0004097852,0.00081501325,0.00032433288,0.0006800503,0.0005022984,0.00024865527,0.00012638693],"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":[0.00033398005,0.000034889134,0.9951938,0.000020138952,0.000047029887,0.00009119911,0.0000847016,0.00007259927,0.00037443463,0.0000065863865,0.000015394253,0.0037251224],"study_design_scores_gemma":[0.000012754225,0.0005098215,0.99703443,0.000009384396,0.00006691103,0.0012260749,0.00022389412,0.00053313066,0.00025974156,0.000022582786,0.000094357514,0.0000068503364],"about_ca_topic_score_codex":0.0006052018,"about_ca_topic_score_gemma":0.00084548024,"teacher_disagreement_score":0.0018546291,"about_ca_system_score_codex":0.00023278758,"about_ca_system_score_gemma":0.00018215025,"threshold_uncertainty_score":0.008792102},"labels":[],"label_agreement":null},{"id":"W3210658244","doi":"10.3390/s21217321","title":"The X-ray Sensitivity of an Amorphous Lead Oxide Photoconductor","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Digital Radiography and Breast Imaging","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":"Thunder Bay Regional Research Institute; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"X-ray detector; Tomosynthesis; Detector; X-ray; Amorphous solid; Electric field; Materials science; Sensitivity (control systems); Optoelectronics; Optics; Electron; Physics; Chemistry; Electronic engineering; Nuclear physics","score_opus":0.014982598700772714,"score_gpt":0.2590388815111122,"score_spread":0.2440562828103395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210658244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99409467,0.000982259,0.003398694,0.00005344653,0.0000148129175,0.00001619858,0.00012400598,0.00008170713,0.0012342521],"genre_scores_gemma":[0.9967784,0.0003884321,0.0016678461,0.00003700873,0.0000039304896,0.000010758503,0.00006914153,0.000012330744,0.0010321644],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997912,0.00002167673,0.000010916971,0.000073187155,0.00007664742,0.00002634268],"domain_scores_gemma":[0.99967265,0.00014606491,0.000063402375,0.000026177084,0.00007721666,0.00001450602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024872523,0.00028727227,0.00017136015,0.00023505156,0.00014090889,0.00037929884,0.00034162367,0.00032611942,0.0008985041],"category_scores_gemma":[0.00059303653,0.00016394079,0.00013497422,0.000250956,0.00023423762,0.00029170944,0.00023255861,0.00022636032,0.0001746787],"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":[0.00010598397,0.00001040671,0.0012076325,0.000054532826,0.000009233543,0.00006157501,0.00004278188,0.00021106555,0.9950389,0.000082504506,0.000038068127,0.003137362],"study_design_scores_gemma":[0.0000053189915,0.00023074448,0.0063156704,0.000009231698,0.000016344475,0.00012786573,0.00004732553,0.0015880668,0.9909785,0.000037386093,0.0006375682,0.000006012934],"about_ca_topic_score_codex":0.0005102273,"about_ca_topic_score_gemma":0.00046048823,"teacher_disagreement_score":0.0008985041,"about_ca_system_score_codex":0.00026568206,"about_ca_system_score_gemma":0.0001313468,"threshold_uncertainty_score":0.0030058026},"labels":[],"label_agreement":null},{"id":"W3212453968","doi":"10.1002/mp.15342","title":"Technical note: MC‐GPU breast dosimetry validations with other Monte Carlo codes and phase space file implementation","year":2021,"lang":"en","type":"preprint","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Carleton University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Ministério da Ciência, Tecnologia e Inovação; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs; Government of Canada","keywords":"Monte Carlo method; Mammography; Voxel; Tomosynthesis; Computer science; Digital mammography; Dosimetry; Nuclear medicine; Physics; Medical physics; Algorithm; Artificial intelligence; Medicine; Mathematics; Statistics; Breast cancer","score_opus":0.013946638450781288,"score_gpt":0.32573194288761137,"score_spread":0.31178530443683006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212453968","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19243382,0.0009531977,0.73314273,0.0019101999,0.00094259507,0.00089713285,0.0033445826,0.041861244,0.024514453],"genre_scores_gemma":[0.5173633,0.00025169787,0.46073908,0.00063467456,0.000054073735,0.0006349183,0.0032526169,0.010517785,0.006551842],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987924,0.0002682283,0.00008542747,0.00011862987,0.00066224695,0.00007310373],"domain_scores_gemma":[0.9934744,0.0015493553,0.00020597754,0.0013568368,0.003268304,0.00014510087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002132275,0.0005625868,0.00032589815,0.00050854636,0.0004286432,0.0011954193,0.002048972,0.0006587615,0.006975396],"category_scores_gemma":[0.01150739,0.00044820472,0.00054045545,0.00055357505,0.00031883284,0.0007836385,0.0006937294,0.00089095306,0.0018389804],"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":[0.0026256796,0.0006146241,0.029957375,0.0012106829,0.00046970637,0.0008199062,0.0013218722,0.36886603,0.14055812,0.019118983,0.057745744,0.37669137],"study_design_scores_gemma":[0.00023586774,0.00031526192,0.0061397483,0.00014102519,0.00008508286,0.00054557895,0.00008989387,0.7122329,0.20580351,0.0014733345,0.072808415,0.00012930292],"about_ca_topic_score_codex":0.0077783493,"about_ca_topic_score_gemma":0.0041712406,"teacher_disagreement_score":0.0077783493,"about_ca_system_score_codex":0.00096529454,"about_ca_system_score_gemma":0.0012616616,"threshold_uncertainty_score":0.02333498},"labels":[],"label_agreement":null},{"id":"W32569275","doi":"10.1016/j.acra.2009.10.012","title":"Diagnostic Performance of a Prototype Dual-Energy Chest Imaging System","year":2009,"lang":"en","type":"article","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Sinai Hospital; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Cancer Institute; Health Canada","keywords":"Medicine; Receiver operating characteristic; Radiology; Chest radiograph; Radiography; Nuclear medicine; Digital radiography; Subtraction; Flat panel detector; Image noise; Image quality; Detector; Artificial intelligence; Computer science; Mathematics","score_opus":0.007677055296579232,"score_gpt":0.24016456553594942,"score_spread":0.2324875102393702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32569275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9077642,0.0012103636,0.08599182,0.0006818848,0.00033151094,0.00021685149,0.00025637363,0.0018284138,0.0017186583],"genre_scores_gemma":[0.9371004,0.00026824404,0.059546165,0.00041754867,0.00011349732,0.00007458443,0.0002861855,0.000108749075,0.0020846564],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937063,0.00017418829,0.000055269586,0.00014439269,0.00020048888,0.000054979926],"domain_scores_gemma":[0.9975388,0.0011485821,0.00010817156,0.00019996916,0.000720367,0.000284068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012259556,0.00047581914,0.0007978236,0.00071057794,0.00038478733,0.0008846232,0.0015031183,0.0016334163,0.004053221],"category_scores_gemma":[0.0030675246,0.0006956769,0.000309223,0.00032949206,0.0003208016,0.00076518254,0.0007859385,0.0004794366,0.0009304282],"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":[0.00947281,0.0006370494,0.022677392,0.0004514731,0.00014255586,0.0020673603,0.00032971925,0.0016231169,0.8512596,0.00042491307,0.0019904263,0.10892367],"study_design_scores_gemma":[0.0018446973,0.013944795,0.09817064,0.00012790659,0.0008529717,0.029907854,0.00047251547,0.10071528,0.74395394,0.00037186872,0.009253129,0.0003844859],"about_ca_topic_score_codex":0.000612557,"about_ca_topic_score_gemma":0.00060712104,"teacher_disagreement_score":0.004053221,"about_ca_system_score_codex":0.00034366478,"about_ca_system_score_gemma":0.0006450336,"threshold_uncertainty_score":0.013559401},"labels":[],"label_agreement":null},{"id":"W361984076","doi":"10.1007/978-1-4419-0685-4_15","title":"Mammographic Density as a Potential Surrogate Marker for Breast Cancer","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; MAMMOGRAPHIC DENSITY; Surrogate endpoint; Medicine; Oncology; Cancer; Internal medicine; Mammography","score_opus":0.008763450151795953,"score_gpt":0.24322661597263587,"score_spread":0.23446316582083992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W361984076","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041032187,0.2818903,0.041806154,0.009792418,0.004704471,0.000060656035,0.0004891449,0.0002373556,0.6569162],"genre_scores_gemma":[0.04465172,0.1891307,0.03458914,0.0055102766,0.00306218,0.00011253175,0.00043406972,0.00015508631,0.72235423],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99988246,0.00003482244,0.00000580787,0.000014083001,0.000058663896,0.0000041316143],"domain_scores_gemma":[0.99975806,0.00019027299,0.000009088113,0.0000072632206,0.000028542132,0.000006819873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003787581,0.00037304024,0.00035890818,0.0006800574,0.00012764143,0.00081232714,0.00031603294,0.0005817686,0.009216207],"category_scores_gemma":[0.00079899974,0.00014925747,0.00013785482,0.0005509566,0.00039366697,0.000730909,0.00030496693,0.0009197899,0.003889844],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004843336,0.00004470963,0.001145267,0.00042655296,0.000012865278,0.00033677404,0.00016064775,0.000769529,0.0021001399,0.108458914,0.15314378,0.7333524],"study_design_scores_gemma":[0.0000063692414,0.000070354225,0.0034405764,0.0006443312,0.00001999605,0.0032396321,0.00012512546,0.0015682317,0.0014456945,0.05394854,0.9354679,0.000023241791],"about_ca_topic_score_codex":0.000878895,"about_ca_topic_score_gemma":0.0026822723,"teacher_disagreement_score":0.009216207,"about_ca_system_score_codex":0.000345711,"about_ca_system_score_gemma":0.0002966342,"threshold_uncertainty_score":0.030831337},"labels":[],"label_agreement":null},{"id":"W4200038152","doi":"10.1002/mp.15411","title":"The detective quantum efficiency of cadmium telluride photon‐counting x‐ray detectors in breast imaging applications","year":2021,"lang":"en","type":"article","venue":"Medical Physics","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":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Detective quantum efficiency; Charge sharing; Physics; Optics; Detector; X-ray detector; Photon; Figure of merit; Noise (video); Photon counting; Dot pitch; Cadmium telluride photovoltaics; Pixel; Optoelectronics; Image quality; Computer science; Image (mathematics); Artificial intelligence","score_opus":0.005298998298475945,"score_gpt":0.2436516776578737,"score_spread":0.23835267935939777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200038152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85783273,0.0021067592,0.13419758,0.0002602233,0.000025722733,0.00005764293,0.00016047253,0.0005245218,0.004834318],"genre_scores_gemma":[0.9858122,0.00024503338,0.013359448,0.000037875598,0.0000019582526,0.000017456328,0.0000387129,0.000023457462,0.00046388854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998978,0.00022480282,0.000044077788,0.00020161747,0.00047258334,0.000078954006],"domain_scores_gemma":[0.99815863,0.0011824638,0.0001647285,0.00012206482,0.00034017145,0.000031995867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022746031,0.00030892185,0.00031838327,0.0004203698,0.00031367954,0.00095171784,0.00082224724,0.0006409804,0.0010046833],"category_scores_gemma":[0.0039070738,0.0004137016,0.0002822611,0.00035311125,0.00060485373,0.00061880157,0.0005058487,0.0003364482,0.00021424862],"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":[0.0006801407,0.00021021305,0.038592625,0.00035080125,0.00009852703,0.00019333072,0.00020133279,0.18587033,0.720506,0.01218523,0.00080507045,0.040306374],"study_design_scores_gemma":[0.000020751735,0.00015159571,0.005509917,0.000029779821,0.000041676303,0.00011159764,0.000039044808,0.26065433,0.7305253,0.0010249515,0.0018542783,0.000036806152],"about_ca_topic_score_codex":0.0023274347,"about_ca_topic_score_gemma":0.0016774765,"teacher_disagreement_score":0.0023274347,"about_ca_system_score_codex":0.0015663101,"about_ca_system_score_gemma":0.0005497775,"threshold_uncertainty_score":0.012029409},"labels":[],"label_agreement":null},{"id":"W4200622691","doi":"10.3390/curroncol28060448","title":"Optimal Breast Density Characterization Using a Three-Dimensional Automated Breast Densitometry System","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Mammography; Breast density; Breast cancer; Densitometry; Radiology; Ultrasonography; MAMMOGRAPHIC DENSITY; Breast imaging; Cancer; Internal medicine","score_opus":0.04392895020718151,"score_gpt":0.3399617998044857,"score_spread":0.2960328495973042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200622691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92628115,0.0008458278,0.06793735,0.00009147372,0.000025947871,0.0002035729,0.0010280623,0.0010933285,0.0024933415],"genre_scores_gemma":[0.9514667,0.00021973747,0.047021415,0.000045310164,0.000022452628,0.00011190314,0.0005158048,0.000049320777,0.0005474163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992887,0.0002426897,0.00007745844,0.000104542516,0.0002464525,0.00004012796],"domain_scores_gemma":[0.99880517,0.00042025922,0.00017601137,0.00011524276,0.00043335988,0.0000499679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000875117,0.00028574915,0.00041950314,0.0027281502,0.0002285082,0.0006005178,0.0003568116,0.00034805798,0.0014815673],"category_scores_gemma":[0.0026472795,0.0003593601,0.0003200294,0.0010985605,0.00017294186,0.00041971332,0.00040995513,0.00015664219,0.00047559492],"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":[0.0014112855,0.00028077068,0.68589306,0.00024228473,0.0001749117,0.00027042453,0.00030764457,0.0049047177,0.07503667,0.00055067625,0.0019469417,0.22898056],"study_design_scores_gemma":[0.00009523345,0.0005712498,0.85938525,0.000035504378,0.00013661821,0.002869272,0.00020154579,0.10328972,0.03004493,0.0005807453,0.002693268,0.00009671435],"about_ca_topic_score_codex":0.0020657424,"about_ca_topic_score_gemma":0.0025785693,"teacher_disagreement_score":0.0027281502,"about_ca_system_score_codex":0.00028892,"about_ca_system_score_gemma":0.0002748776,"threshold_uncertainty_score":0.004956305},"labels":[],"label_agreement":null},{"id":"W4206918845","doi":"10.3390/radiation2010007","title":"Effects of Charge Carrier Trapping on Image Resolution of Multilayer Photoconductive Detectors: Application to Amorphous Selenium X-ray Detectors","year":2022,"lang":"en","type":"article","venue":"Radiation","topic":"Digital Radiography and Breast Imaging","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trapping; Detector; Photoconductivity; Materials science; X-ray detector; Optoelectronics; Optics; Physics","score_opus":0.005051929332781726,"score_gpt":0.23512668304889414,"score_spread":0.2300747537161124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206918845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8096748,0.0027315489,0.18539777,0.00013384409,0.000018319486,0.00004044277,0.000077754936,0.00050447875,0.0014211066],"genre_scores_gemma":[0.981265,0.0005086108,0.017854523,0.000014078863,0.0000034837294,0.00000984301,0.000015361264,0.000017589115,0.00031145327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997924,0.000041643965,0.000011730425,0.00004311834,0.0000837374,0.00002742957],"domain_scores_gemma":[0.9992163,0.0004984972,0.00012965305,0.000055718487,0.00008363921,0.000016255477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004988846,0.00047706196,0.00033736794,0.00026188127,0.00015584381,0.00042874904,0.0003634946,0.00052083563,0.00038620457],"category_scores_gemma":[0.001641568,0.00025346936,0.00047790306,0.00027577797,0.0002504722,0.0005719019,0.0002496699,0.00032566985,0.000090955786],"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":[0.00025139746,0.000061915474,0.0039734812,0.00019170853,0.000060904076,0.00040616564,0.00013382774,0.07722238,0.8953662,0.0013595371,0.00010652323,0.020865977],"study_design_scores_gemma":[0.000012136473,0.00027285446,0.003225093,0.000015980531,0.00004765767,0.00041386142,0.000039360515,0.49945486,0.495664,0.00034206323,0.00048198135,0.00003009598],"about_ca_topic_score_codex":0.0015577845,"about_ca_topic_score_gemma":0.0009014111,"teacher_disagreement_score":0.0015577845,"about_ca_system_score_codex":0.00063115085,"about_ca_system_score_gemma":0.00024059608,"threshold_uncertainty_score":0.0045793653},"labels":[],"label_agreement":null},{"id":"W4210354629","doi":"10.1002/ijc.33957","title":"Correlation between cumulative mammographic density and age‐specific incidence of breast cancer: A biethnic study in Israel","year":2022,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Breast cancer; Medicine; Incidence (geometry); Cumulative incidence; Demography; Population; Cancer registry; MAMMOGRAPHIC DENSITY; Gynecology; Mammography; Cancer; Cohort; Internal medicine; Mathematics","score_opus":0.021199196742003372,"score_gpt":0.3319571659620752,"score_spread":0.3107579692200718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210354629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996922,0.000029724299,0.000030698546,0.00001278998,8.1157657e-7,0.000002503864,0.000035283738,5.374317e-7,0.0001953874],"genre_scores_gemma":[0.9997069,0.000035987727,0.000031045023,0.0000117323525,0.0000030383314,0.0000036064598,0.0000982084,6.6471785e-7,0.000108808956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998154,0.00006785182,0.000017485803,0.000034339326,0.000038300797,0.000026655825],"domain_scores_gemma":[0.999694,0.000061268656,0.00006827574,0.00002685899,0.00006297502,0.00008671503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005048985,0.00014810768,0.00016061931,0.00045396827,0.0002786979,0.0004062461,0.00015828869,0.00025072333,0.0007110473],"category_scores_gemma":[0.0008886021,0.00016462203,0.00015901453,0.000332767,0.00016341858,0.00020831486,0.00030115363,0.0002198391,0.00016710772],"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":[0.000039385075,0.000026019065,0.99882835,0.0000013419835,0.00002633491,0.000025204092,0.0001518942,0.000010128525,0.00026699048,0.0000084083495,0.000027319438,0.0005887169],"study_design_scores_gemma":[0.0000037222335,0.00003692709,0.99934775,0.000002054613,0.000010769993,0.0001229345,0.00023120694,0.00010287238,0.000036489808,0.000008717574,0.00009503738,0.0000014159812],"about_ca_topic_score_codex":0.006499437,"about_ca_topic_score_gemma":0.007502666,"teacher_disagreement_score":0.006499437,"about_ca_system_score_codex":0.0001783876,"about_ca_system_score_gemma":0.0001727408,"threshold_uncertainty_score":0.012923241},"labels":[],"label_agreement":null},{"id":"W4212825419","doi":"10.1177/08465371211068200","title":"The Impact of Slice Thickness on Diagnostic Accuracy in Digital Breast Tomosynthesis","year":2022,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Joseph’s Healthcare Hamilton","funders":"","keywords":"Medicine; Tomosynthesis; Digital Breast Tomosynthesis; Diagnostic accuracy; Medical physics; Radiology; Mammography; Nuclear medicine; Breast cancer; Internal medicine; Cancer","score_opus":0.008583657508575237,"score_gpt":0.25665625131373904,"score_spread":0.2480725938051638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212825419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98550165,0.0075785606,0.004471174,0.00019431981,0.00016913094,0.00005132896,0.00023996072,0.00009251486,0.0017013062],"genre_scores_gemma":[0.9962054,0.00043658123,0.0029703607,0.000045927398,0.00005893613,0.000014306354,0.00013738104,0.000029767682,0.00010144623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98452395,0.00906527,0.0019483898,0.0010685055,0.003092392,0.0003014861],"domain_scores_gemma":[0.88053745,0.083197616,0.018036216,0.007519656,0.009836758,0.0008723998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019568043,0.00077753677,0.00048425136,0.001134819,0.00033496734,0.001414851,0.00061063655,0.0006498701,0.0008188948],"category_scores_gemma":[0.08227958,0.00059063465,0.0008930163,0.0008587652,0.00082621473,0.0008849562,0.00074176735,0.00043225428,0.00027342094],"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":[0.009571724,0.00007966127,0.92065126,0.00037592434,0.0010491924,0.0004926328,0.00046955596,0.0021943152,0.015174504,0.00008708041,0.00035359288,0.049500518],"study_design_scores_gemma":[0.00010411027,0.0023985624,0.96842325,0.00020927835,0.0011821899,0.0045561795,0.00030893573,0.0056564244,0.01572249,0.0002347802,0.0011365714,0.000067288296],"about_ca_topic_score_codex":0.0011752554,"about_ca_topic_score_gemma":0.0019546312,"teacher_disagreement_score":0.019568043,"about_ca_system_score_codex":0.00066321867,"about_ca_system_score_gemma":0.00043989051,"threshold_uncertainty_score":0.103486955},"labels":[],"label_agreement":null},{"id":"W4212858925","doi":"10.1136/jim-2021-002296","title":"Association of Mammographic Density and Benign Breast Calcifications Individually or Combined with Hypertension, Diabetes, and Hypercholesterolemia in Women ≥40 Years of Age: A Retrospective Study","year":2022,"lang":"en","type":"article","venue":"Journal of Investigative Medicine","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes","funders":"","keywords":"Medicine; Diabetes mellitus; Body mass index; Odds ratio; Internal medicine; Breast cancer; Obesity; Endocrinology; Cancer","score_opus":0.01843150967505552,"score_gpt":0.23549698530416027,"score_spread":0.21706547562910475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212858925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987626,0.000629935,0.00006881731,0.000011227111,0.0000033154347,0.000010947662,0.00025173504,0.0000025895574,0.00025880293],"genre_scores_gemma":[0.9992773,0.00028151585,0.00007944443,0.000019036013,0.000008765251,0.000009531999,0.00025552916,0.0000014198324,0.00006747044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992454,0.000165287,0.00013946716,0.0002021031,0.00016032223,0.00008744611],"domain_scores_gemma":[0.9982973,0.00038081798,0.0006680136,0.00021707545,0.00020647552,0.0002303715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076738856,0.00023442622,0.0004943586,0.0013853639,0.00045733014,0.00057731866,0.00031666717,0.00039089256,0.00097641686],"category_scores_gemma":[0.0019260937,0.0006185365,0.00052971597,0.0017944844,0.00031196707,0.00047705535,0.0004969463,0.00041652884,0.00022810831],"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":[0.000039778497,0.000010948104,0.99950624,0.000006484929,0.00003271597,0.00006828271,0.000023054416,0.000004311708,0.000057905807,0.0000027498986,0.000013750478,0.00023388934],"study_design_scores_gemma":[0.000004285572,0.00008150122,0.99875975,0.0000058460796,0.00005966653,0.00076133036,0.00012850121,0.000044088167,0.000032717642,0.0000073429833,0.00011212929,0.0000028634142],"about_ca_topic_score_codex":0.0050536143,"about_ca_topic_score_gemma":0.005588099,"teacher_disagreement_score":0.0050536143,"about_ca_system_score_codex":0.00024028773,"about_ca_system_score_gemma":0.00033840552,"threshold_uncertainty_score":0.010048389},"labels":[],"label_agreement":null},{"id":"W4212896970","doi":"10.1117/12.2611820","title":"Improved temporal performance and optical quantum efficiency of avalanche amorphous selenium for low dose medical imaging","year":2022,"lang":"en","type":"article","venue":"Medical Imaging 2022: Physics of Medical Imaging","topic":"Digital Radiography and Breast Imaging","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":"University of Saskatchewan; Analogic (Canada)","funders":"","keywords":"Materials science; Optoelectronics; Dark current; Quantum efficiency; Photodetection; Avalanche photodiode; Atomic layer deposition; Noise (video); Optics; Photodetector; Layer (electronics); Nanotechnology; Physics; Detector","score_opus":0.007301092943371302,"score_gpt":0.2614046339228242,"score_spread":0.2541035409794529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212896970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960561,0.0003189054,0.002810066,0.000029692286,0.0000066890934,0.000006036152,0.000039478735,0.000049298418,0.0006838187],"genre_scores_gemma":[0.9934934,0.00020063277,0.0049715014,0.000011505147,0.0000036265235,0.0000063327184,0.000052389518,0.000022990716,0.001237625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999119,0.000010548544,0.0000041649914,0.000023321469,0.00003774871,0.000012306064],"domain_scores_gemma":[0.9998592,0.000036052745,0.00003797035,0.00001573573,0.000034837773,0.000016149947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016376596,0.00019390599,0.00011093251,0.00012855067,0.00008217603,0.00031218873,0.00025596566,0.00022212454,0.00077021396],"category_scores_gemma":[0.00027270967,0.0001268894,0.000103063096,0.00013629849,0.00014729083,0.00026611862,0.00014329034,0.00023849259,0.00017295884],"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":[0.000024744664,0.0000048322763,0.00026946582,0.000014268777,0.0000022554425,0.000021723365,0.000013906348,0.000071973554,0.9983511,0.00004260081,0.00001736491,0.0011657582],"study_design_scores_gemma":[0.00000367126,0.00012570279,0.001594846,0.0000017755915,0.0000044604576,0.00005577793,0.000011099258,0.0011768519,0.9966468,0.000007634164,0.00036862673,0.0000026413254],"about_ca_topic_score_codex":0.0004932142,"about_ca_topic_score_gemma":0.0010246822,"teacher_disagreement_score":0.00077021396,"about_ca_system_score_codex":0.0002801944,"about_ca_system_score_gemma":0.000113293674,"threshold_uncertainty_score":0.0025765896},"labels":[],"label_agreement":null},{"id":"W4220787183","doi":"10.1002/ijc.34001","title":"Association of contralateral breast cancer risk with mammographic density defined at higher‐than‐conventional intensity thresholds","year":2022,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Cure Cancer Australia Foundation","keywords":"Medicine; Breast cancer; Odds ratio; Logistic regression; Internal medicine; Intensity (physics); Cancer; Population; Oncology","score_opus":0.006249533363399409,"score_gpt":0.2513911559602251,"score_spread":0.2451416225968257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220787183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994541,0.00013575949,0.00014729389,0.000011117398,0.0000018085003,0.000003320636,0.00008462903,0.000004445948,0.0001575574],"genre_scores_gemma":[0.9997068,0.00003007939,0.00010328769,0.000004781985,0.0000041124927,0.0000029156602,0.00010519034,0.0000012970778,0.000041520016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994481,0.00018380467,0.0000406135,0.00014105608,0.000117845644,0.00006857905],"domain_scores_gemma":[0.99736816,0.0008786599,0.001077291,0.00029584704,0.00016386708,0.00021616535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872038,0.0002971695,0.0003218398,0.0009095542,0.00019776609,0.0005347181,0.00038494196,0.00034868935,0.0008642384],"category_scores_gemma":[0.0046066786,0.00021098301,0.00044937478,0.0007701222,0.00036830863,0.00023376777,0.0005347512,0.0003484368,0.00005680988],"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":[0.000115796516,0.0000109523735,0.99861324,0.000004987283,0.000048981838,0.000022962884,0.000016387108,0.00008263025,0.0002515131,0.000020370218,0.000023415543,0.00078869314],"study_design_scores_gemma":[0.0000039869483,0.00003490441,0.9992719,0.0000015795198,0.000024593406,0.00009559747,0.000019620124,0.00038246627,0.00010315624,0.000024477302,0.00003536162,0.0000023116206],"about_ca_topic_score_codex":0.011022128,"about_ca_topic_score_gemma":0.011171203,"teacher_disagreement_score":0.011022128,"about_ca_system_score_codex":0.0003242862,"about_ca_system_score_gemma":0.0002726556,"threshold_uncertainty_score":0.021915913},"labels":[],"label_agreement":null},{"id":"W4220886599","doi":"10.1002/mp.15632","title":"Spatially tracked whole‐breast three‐dimensional ultrasound system toward point‐of‐care breast cancer screening in high‐risk women with dense breasts","year":2022,"lang":"en","type":"article","venue":"Medical Physics","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":"London Health Sciences Centre; Robarts Clinical Trials; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Breast cancer; Visualization; Computer vision; Mammography; Medical imaging; Image registration; Artificial intelligence; Medicine; Breast imaging; Computer science; Medical physics; Radiology; Cancer; Image (mathematics)","score_opus":0.006491333508216607,"score_gpt":0.22103556603737684,"score_spread":0.21454423252916024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220886599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6867224,0.0009321097,0.30532235,0.00039097483,0.00012082964,0.00047190912,0.00047774237,0.0030564214,0.0025052929],"genre_scores_gemma":[0.8807543,0.00028402283,0.11672542,0.00029508138,0.000030286263,0.00038872534,0.00018606681,0.00006749905,0.0012686955],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996997,0.00009168108,0.000016492533,0.00007499395,0.000094904804,0.000022348748],"domain_scores_gemma":[0.99968064,0.00006829813,0.00006471834,0.000050411683,0.00010184373,0.00003412672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006064894,0.0002622761,0.00031024945,0.00030966668,0.0001675468,0.0004111861,0.0006049959,0.00059330853,0.0012628086],"category_scores_gemma":[0.0010134025,0.00027661852,0.000288105,0.00017068812,0.0002087686,0.0003220936,0.0006190384,0.00020177512,0.00037776376],"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":[0.001641126,0.00045338357,0.02019125,0.00037728588,0.000074058065,0.00064322667,0.0003853257,0.0105386805,0.7981817,0.0006686245,0.0024781208,0.16436718],"study_design_scores_gemma":[0.00047825483,0.008477164,0.110670455,0.00016885789,0.00047877413,0.00530011,0.0003349131,0.28074542,0.5771742,0.0007855981,0.015177188,0.00020912086],"about_ca_topic_score_codex":0.0011923113,"about_ca_topic_score_gemma":0.0011851116,"teacher_disagreement_score":0.0012628086,"about_ca_system_score_codex":0.00027622003,"about_ca_system_score_gemma":0.00059373956,"threshold_uncertainty_score":0.004224539},"labels":[],"label_agreement":null},{"id":"W4223572840","doi":"10.1186/s13058-022-01524-0","title":"Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci","year":2022,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital; Queen's University; University of British Columbia","funders":"National Cancer Institute; National Institutes of Health","keywords":"Phenotype; Genome-wide association study; Breast cancer; Genetics; Biology; Single-nucleotide polymorphism; Genetic association; Transcriptome; Genome; Gene; Cancer; Computational biology; Genotype; Gene expression","score_opus":0.050036096649946814,"score_gpt":0.34405921276921175,"score_spread":0.29402311611926496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223572840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99460065,0.0012778159,0.0022562568,0.00013637441,0.000010813963,0.000010141605,0.0009995637,0.00002938929,0.00067905145],"genre_scores_gemma":[0.99755895,0.00028415502,0.0013232501,0.000051116327,0.000012174549,0.000011462416,0.00058125245,0.0000059356994,0.0001717066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996619,0.0000667951,0.000028396771,0.0001365741,0.00006823293,0.00003806821],"domain_scores_gemma":[0.99916255,0.00033257675,0.00033837414,0.000051506882,0.000047150297,0.00006777274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062184484,0.00032074167,0.0002972545,0.0008661039,0.0002499953,0.0005029603,0.00032164867,0.00034005565,0.002154197],"category_scores_gemma":[0.0013128027,0.00015005717,0.00041824888,0.0011395089,0.00032787956,0.000117281794,0.0004881807,0.0003403552,0.00013542105],"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":[0.0006324736,0.000074219926,0.9266361,0.00018836821,0.0010834418,0.0010467961,0.0002427102,0.0009054912,0.05115045,0.0006102406,0.00054684584,0.016882973],"study_design_scores_gemma":[0.000028254866,0.000055783745,0.99431264,0.000019963623,0.00028013592,0.0008634964,0.000071096634,0.00088251045,0.0024002853,0.00029379924,0.00078512507,0.0000068800973],"about_ca_topic_score_codex":0.001674052,"about_ca_topic_score_gemma":0.0027076246,"teacher_disagreement_score":0.002154197,"about_ca_system_score_codex":0.00016533071,"about_ca_system_score_gemma":0.00021442886,"threshold_uncertainty_score":0.0072064996},"labels":[],"label_agreement":null},{"id":"W4233966416","doi":"10.1186/bcr2423","title":"Mammographic density","year":2009,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Surgical oncology; Medicine; MAMMOGRAPHIC DENSITY; Breast cancer; Gynecology; Oncology; Mammography; Internal medicine; Cancer","score_opus":0.12922025591341676,"score_gpt":0.4676340614401787,"score_spread":0.3384138055267619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233966416","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003306806,0.99470973,0.0002328058,0.00029563534,0.00020893828,0.000026714195,0.00026802198,0.00001800775,0.003909453],"genre_scores_gemma":[0.0039036686,0.99255097,0.0005623488,0.0003853304,0.00034265523,0.000027639631,0.00040562687,0.0000031346146,0.001818554],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99953246,0.00009374347,0.00008173605,0.000096302545,0.00017201708,0.000023771467],"domain_scores_gemma":[0.99908745,0.00041838645,0.00020571069,0.00003607655,0.0002190652,0.000033369302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005981634,0.0010293777,0.0021748266,0.007582177,0.00021014722,0.00084464886,0.00087343965,0.0006489324,0.011738918],"category_scores_gemma":[0.0035700528,0.00038525456,0.00069256907,0.0055841394,0.00050217466,0.0011044913,0.0006757285,0.0006692991,0.00325013],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007932267,0.00003117191,0.0023502791,0.018296147,0.00024743876,0.00020179768,0.000032601525,0.00012209942,0.00045887477,0.0006180435,0.043000724,0.9345615],"study_design_scores_gemma":[0.00009644528,0.0001858232,0.025868647,0.03077781,0.002613847,0.013167762,0.00019483858,0.00033564647,0.00089632405,0.0020175737,0.92378014,0.00006520128],"about_ca_topic_score_codex":0.0032172333,"about_ca_topic_score_gemma":0.0055336053,"teacher_disagreement_score":0.011738918,"about_ca_system_score_codex":0.0005511903,"about_ca_system_score_gemma":0.0010553212,"threshold_uncertainty_score":0.03927064},"labels":[],"label_agreement":null},{"id":"W4235670345","doi":"10.32920/ryerson.14651982","title":"Characterization of a Single Pixel Beta Detector for Guidance in Breast-Conserving Surgery","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Toronto Metropolitan University","funders":"","keywords":"Detector; Scintillator; Pixel; Margin (machine learning); Nuclear medicine; Breast cancer; Sensitivity (control systems); Physics; Biomedical engineering; Medicine; Computer science; Optics; Cancer; Electronic engineering; Engineering; Internal medicine","score_opus":0.025271736107149795,"score_gpt":0.25063705697009814,"score_spread":0.22536532086294833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235670345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95720655,0.0016014124,0.038866032,0.00012290175,0.000054445387,0.000103874736,0.00019431079,0.00015703715,0.0016933936],"genre_scores_gemma":[0.94135034,0.0010596797,0.054296933,0.00007729825,0.000015863423,0.000071401715,0.00026300675,0.000066433546,0.0027991438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999572,0.00006381149,0.000014818309,0.000102682934,0.00021105973,0.00003567759],"domain_scores_gemma":[0.99911433,0.00031269237,0.00019807322,0.000055564124,0.00026101517,0.000058392416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061462045,0.00022863614,0.00037002697,0.0002496066,0.00015564109,0.0007627953,0.0004866848,0.0007422146,0.0008057945],"category_scores_gemma":[0.0014515519,0.0003064969,0.00025686607,0.0002522952,0.00014961825,0.00029171945,0.00020328988,0.00020419867,0.0004233604],"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":[0.000093771225,0.000038263326,0.0012949375,0.000105936284,0.000015182307,0.00006285101,0.000050477065,0.0013269177,0.9894918,0.00015780336,0.00014591793,0.00721606],"study_design_scores_gemma":[0.000015320833,0.00063827465,0.004879801,0.000021429034,0.00005124542,0.00035551112,0.000074182266,0.019166853,0.97149974,0.000052113963,0.003227062,0.000018496357],"about_ca_topic_score_codex":0.00032639533,"about_ca_topic_score_gemma":0.00047297255,"teacher_disagreement_score":0.0008057945,"about_ca_system_score_codex":0.0003385336,"about_ca_system_score_gemma":0.00046162124,"threshold_uncertainty_score":0.00325042},"labels":[],"label_agreement":null},{"id":"W4237551436","doi":"10.1093/jicru_ndp029","title":"Mammography – Assessment of Image Quality","year":2009,"lang":"en","type":"article","venue":"Journal of the ICRU","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mammography; Image quality; Quality (philosophy); Quality assessment; Medical physics; Computer science; Medicine; Artificial intelligence; Image (mathematics); Breast cancer; External quality assessment; Cancer; Pathology; Internal medicine; Physics","score_opus":0.012824171785869863,"score_gpt":0.3482909651292334,"score_spread":0.33546679334336355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237551436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9184743,0.024270935,0.021531966,0.0010680876,0.00012943336,0.00040634614,0.001524727,0.00054117315,0.032053113],"genre_scores_gemma":[0.9813002,0.0028301924,0.010857904,0.00020149528,0.00008741174,0.000051908806,0.00049426034,0.000086800836,0.0040899008],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979984,0.0006290068,0.0002900926,0.00018330665,0.0007842232,0.000114987255],"domain_scores_gemma":[0.99677235,0.0010170833,0.0005742546,0.00016783395,0.0013407492,0.00012776759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032763567,0.00042884282,0.0005286459,0.0034449645,0.00023767333,0.00095680024,0.0005086202,0.0009571238,0.00593486],"category_scores_gemma":[0.008408265,0.00044314956,0.0006774844,0.0015647798,0.0004196671,0.00075935386,0.0006094992,0.00047503988,0.0011201324],"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":[0.008345118,0.0005187901,0.48844686,0.0019870433,0.0016060069,0.0019207614,0.00085778115,0.0023891055,0.20809543,0.0010597092,0.003140279,0.28163314],"study_design_scores_gemma":[0.00016088929,0.0026354834,0.8749954,0.00030474234,0.0009782534,0.019339025,0.000504366,0.00782007,0.082550734,0.0007744547,0.009821502,0.00011512613],"about_ca_topic_score_codex":0.0015207076,"about_ca_topic_score_gemma":0.0014149973,"teacher_disagreement_score":0.00593486,"about_ca_system_score_codex":0.00040501895,"about_ca_system_score_gemma":0.0002576367,"threshold_uncertainty_score":0.019854128},"labels":[],"label_agreement":null},{"id":"W4237871904","doi":"10.1007/978-3-030-56263-2_1","title":"Introduction","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre; Western University","funders":"","keywords":"Mammography; Digital mammography; Breast cancer; Medicine; Radiology; Nuclear medicine; Cancer; Internal medicine","score_opus":0.010593316862710178,"score_gpt":0.22162500575009672,"score_spread":0.21103168888738655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237871904","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002192874,0.0019324629,0.0025647846,0.0011940455,0.0025923944,0.00010964761,0.00085870124,0.0004964112,0.9900323],"genre_scores_gemma":[0.0003820295,0.0008584543,0.00069534796,0.00045839517,0.00025896422,0.000032954737,0.0004714545,0.00010054525,0.99674195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999603,0.000038358085,0.000012502597,0.00007932948,0.00022211001,0.0000447079],"domain_scores_gemma":[0.9995577,0.000070045324,0.000014362288,0.000055707762,0.00021012365,0.00009200858],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043790028,0.00088757824,0.00051773933,0.0016129429,0.0012112245,0.0033978622,0.0013379189,0.0014284451,0.60478514],"category_scores_gemma":[0.0013959549,0.00031908494,0.0004902376,0.0013491098,0.00045412823,0.0023605104,0.0020041924,0.001648731,0.5176795],"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":[0.000016232047,0.000044903,0.00006798279,0.00013051546,0.0000014640865,0.00005826017,0.000096355725,0.00012906578,0.00037940746,0.019892454,0.7906288,0.18855461],"study_design_scores_gemma":[0.0000011918156,0.0000045684046,0.0000521623,0.00005212694,5.2855944e-7,0.00003588445,0.00002655684,0.000019429472,0.000049243816,0.0018267487,0.99793005,0.0000016488912],"about_ca_topic_score_codex":0.002429327,"about_ca_topic_score_gemma":0.005306899,"teacher_disagreement_score":0.60478514,"about_ca_system_score_codex":0.0009455375,"about_ca_system_score_gemma":0.0014129457,"threshold_uncertainty_score":0.563726},"labels":[],"label_agreement":null},{"id":"W4238447797","doi":"10.1093/jicru_ndp023","title":"7. Measurement of Image Quality in Mammography","year":2009,"lang":"en","type":"article","venue":"Journal of the ICRU","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mammography; Quality (philosophy); Image quality; Computer vision; Computer science; Artificial intelligence; Medical physics; Medicine; Image (mathematics); Breast cancer; Philosophy; Epistemology; Internal medicine","score_opus":0.020749060422102592,"score_gpt":0.2928412313816152,"score_spread":0.2720921709595126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238447797","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43230683,0.059517104,0.36208007,0.0075818463,0.001924514,0.0008649376,0.003436397,0.0024432857,0.12984498],"genre_scores_gemma":[0.8563559,0.009872752,0.11614638,0.0009751251,0.0003906997,0.00016018601,0.00092904374,0.0002865003,0.014883474],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966366,0.00086499687,0.00018203793,0.00013816988,0.0020570916,0.00012109041],"domain_scores_gemma":[0.9948914,0.0016617781,0.0004429929,0.00025284002,0.0025978659,0.00015317457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027670206,0.00027624954,0.0003609424,0.0015780193,0.00030056966,0.0014041059,0.00078414835,0.0014470009,0.0032061979],"category_scores_gemma":[0.0097911125,0.00024228827,0.00054433336,0.0008608539,0.00044504294,0.0008046792,0.0005854752,0.00046203044,0.0015560774],"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":[0.0014449254,0.00025430202,0.063836284,0.0021961208,0.0003303446,0.0007254387,0.00044101456,0.003970628,0.25503558,0.009776841,0.010952624,0.6510359],"study_design_scores_gemma":[0.0000821107,0.0021103206,0.25456014,0.0006612316,0.0005876678,0.0059242356,0.0004999785,0.02588167,0.6665586,0.0067747897,0.036169335,0.00019001744],"about_ca_topic_score_codex":0.002688989,"about_ca_topic_score_gemma":0.0022191817,"teacher_disagreement_score":0.0032061979,"about_ca_system_score_codex":0.00048845925,"about_ca_system_score_gemma":0.0004013165,"threshold_uncertainty_score":0.014633596},"labels":[],"label_agreement":null},{"id":"W4238996943","doi":"10.14694/edbook_am.2013.33.e57","title":"Mammographic Density and Risk of Breast Cancer","year":2013,"lang":"en","type":"review","venue":"American Society of Clinical Oncology Educational Book","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Breast cancer; Medicine; Tamoxifen; Mammography; Risk factors for breast cancer; Family history; Menopause; Relative risk; Gynecology; Obstetrics; Cancer; Internal medicine; Oncology","score_opus":0.06564973028895799,"score_gpt":0.45907378160664647,"score_spread":0.3934240513176885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238996943","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30642754,0.48791724,0.002855353,0.027266286,0.0020782012,0.00014504565,0.014342092,0.00039091616,0.15857728],"genre_scores_gemma":[0.8106621,0.1513182,0.0030110653,0.0019563092,0.0026294356,0.000116048,0.0049412395,0.000033792647,0.025331864],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996822,0.00008080676,0.000018612267,0.000031224154,0.00016717512,0.000020033493],"domain_scores_gemma":[0.99914014,0.00032084822,0.00026767584,0.0000237893,0.00013286699,0.000114670445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028410132,0.00020208494,0.00027258205,0.0010505349,0.00013057704,0.00042836257,0.00025402269,0.00044052987,0.008885273],"category_scores_gemma":[0.003087563,0.00009932212,0.00018398585,0.0016163075,0.00016893151,0.00025892953,0.00026385268,0.0006006099,0.0018175392],"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":[0.00040381562,0.00019404697,0.6553576,0.0010018128,0.00039295075,0.00032320057,0.00017219307,0.00072124775,0.00059398985,0.003356483,0.07763334,0.25984937],"study_design_scores_gemma":[0.000024526835,0.00020166462,0.9049588,0.0006831152,0.00024890102,0.0030824263,0.0001241432,0.00087756524,0.00020277583,0.0029546355,0.08661959,0.00002183233],"about_ca_topic_score_codex":0.0027873246,"about_ca_topic_score_gemma":0.0031769383,"teacher_disagreement_score":0.008885273,"about_ca_system_score_codex":0.00029560743,"about_ca_system_score_gemma":0.00018871341,"threshold_uncertainty_score":0.02972418},"labels":[],"label_agreement":null},{"id":"W4242250540","doi":"10.1016/s0221-0363(04)78066-x","title":"Deploiement d’un pacs multi-site : l’experience du centre hospitalier de l’universite de montreal","year":2004,"lang":"fr","type":"article","venue":"Journal de Radiologie","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.010055263845393961,"score_gpt":0.2400300447982632,"score_spread":0.22997478095286925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242250540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97281003,0.0017587354,0.0017015518,0.012040136,0.00033832603,0.00015184449,0.00023696305,0.00012783149,0.010834666],"genre_scores_gemma":[0.9816737,0.0013581264,0.0018621092,0.002593669,0.00023490714,0.00005779999,0.00015837039,0.00014062547,0.011920756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9938929,0.0014428715,0.0003446954,0.0006275641,0.0014017049,0.0022902498],"domain_scores_gemma":[0.98387986,0.0034174044,0.0016931451,0.0004941399,0.0030106704,0.0075047542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028795472,0.0010196359,0.00058645423,0.0013987256,0.0069172094,0.0038359,0.002443896,0.004434264,0.011550634],"category_scores_gemma":[0.0155642815,0.0015542812,0.0010299364,0.0018547934,0.0023645577,0.0021656014,0.0025229107,0.0033796548,0.0014209611],"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":[0.0013016466,0.0050192834,0.41090372,0.0006855219,0.00031963876,0.18988287,0.1396272,0.002812345,0.011157865,0.0033153074,0.038736563,0.196238],"study_design_scores_gemma":[0.00033369975,0.0041795536,0.499854,0.0008769388,0.0004084105,0.13964325,0.14741227,0.006912785,0.0069791153,0.0012983865,0.19135296,0.00074861303],"about_ca_topic_score_codex":0.3317642,"about_ca_topic_score_gemma":0.5351504,"teacher_disagreement_score":0.3317642,"about_ca_system_score_codex":0.013380895,"about_ca_system_score_gemma":0.011319916,"threshold_uncertainty_score":0.6596662},"labels":[],"label_agreement":null},{"id":"W4245206004","doi":"10.1007/978-3-540-47648-1_3525","title":"Mammographic Density","year":2008,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Medicine; Mammography; Breast cancer; Internal medicine; Cancer","score_opus":0.015724567665579215,"score_gpt":0.21494547766360145,"score_spread":0.19922090999802222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245206004","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012903245,0.012544073,0.013438761,0.0019413654,0.0008355627,0.00010196094,0.0007889401,0.0006821401,0.96837693],"genre_scores_gemma":[0.00921339,0.012377574,0.0073943464,0.0012787048,0.00048845133,0.0000660418,0.000705744,0.00015386858,0.968322],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988556,0.000015189286,0.0000052015516,0.000021924216,0.00006399571,0.000008061993],"domain_scores_gemma":[0.99987006,0.00004287111,0.0000073644364,0.00001761843,0.000049628547,0.000012516462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019815133,0.00047121948,0.0003751168,0.0010989949,0.00028574234,0.00086761557,0.0005356781,0.0005267466,0.124203056],"category_scores_gemma":[0.00076423405,0.00022321113,0.00026316603,0.00064906356,0.00025445875,0.0008297552,0.00069159357,0.00085440546,0.056874793],"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":[0.000024840667,0.00004545299,0.00052230654,0.00029262857,0.000008277431,0.0002914755,0.00012709164,0.00027312958,0.0020723538,0.030825933,0.3340644,0.63145214],"study_design_scores_gemma":[0.0000027197236,0.000017999375,0.0012153814,0.0001770435,0.000008933591,0.002449748,0.000039981296,0.00021272771,0.0007047887,0.007456789,0.98770636,0.0000075021535],"about_ca_topic_score_codex":0.0007724293,"about_ca_topic_score_gemma":0.0022674915,"teacher_disagreement_score":0.124203056,"about_ca_system_score_codex":0.00030693522,"about_ca_system_score_gemma":0.0003850108,"threshold_uncertainty_score":0.41550064},"labels":[],"label_agreement":null},{"id":"W4247404162","doi":"10.1007/978-981-15-1412-8_3","title":"Additional Views","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women's College Hospital; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Magnification; Displacement (psychology); Psychology; Medicine; Computer science; Computer vision; Psychoanalysis","score_opus":0.03277653039487271,"score_gpt":0.2416625807612003,"score_spread":0.2088860503663276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247404162","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009946773,0.00018993646,0.00034787515,0.00039703815,0.00084435166,0.00010004415,0.0026239955,0.0005555557,0.99484164],"genre_scores_gemma":[0.00020499507,0.00009414071,0.00014550753,0.0001947938,0.00008356894,0.00002166769,0.0007883396,0.00016052314,0.9983064],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999624,0.000032990734,0.0000072721155,0.000041038526,0.0002452836,0.000049457038],"domain_scores_gemma":[0.99917233,0.00019202949,0.000017651864,0.000072301176,0.00038442411,0.00016140213],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003714111,0.0008564828,0.00079254666,0.0026091174,0.0016020683,0.00272575,0.0013039253,0.0013585822,0.92217034],"category_scores_gemma":[0.001811247,0.0004250653,0.0005707276,0.0018655183,0.00033350222,0.0015973084,0.0017833597,0.0015705535,0.8005369],"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":[0.000009834877,0.000022137423,0.000021389438,0.000042528845,5.586373e-7,0.000017964365,0.000015965134,0.000038642425,0.000104826344,0.0011628314,0.96644187,0.03212133],"study_design_scores_gemma":[0.000005753995,0.0000050069775,0.00013884054,0.000049259143,0.0000012286181,0.000021332171,0.00003866826,0.000041024472,0.00009452521,0.0006675506,0.998933,0.0000037844893],"about_ca_topic_score_codex":0.008590853,"about_ca_topic_score_gemma":0.030697431,"teacher_disagreement_score":0.07782966,"about_ca_system_score_codex":0.0011642971,"about_ca_system_score_gemma":0.0013268839,"threshold_uncertainty_score":0.111014545},"labels":[],"label_agreement":null},{"id":"W4248520558","doi":"10.32920/ryerson.14653425","title":"A Simulation of a Novel High Quantum Efficiency Scintillating Fiber Detector with Anti-scatter Properties for Megavoltage X-Ray Imaging","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Toronto Metropolitan University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Detector; Image resolution; Square (algebra); Monte Carlo method; Materials science; Resolution (logic); Linear particle accelerator; Ranging; Beam (structure); Physics; Computer science; Telecommunications","score_opus":0.024600814871048628,"score_gpt":0.2623872691828377,"score_spread":0.2377864543117891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248520558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8284266,0.0002818228,0.1501014,0.00036856774,0.00006623538,0.0001396643,0.00068995886,0.00066484633,0.019260881],"genre_scores_gemma":[0.95578223,0.00014759066,0.03859094,0.000035451296,0.000005637525,0.00008923664,0.00020922479,0.00005582763,0.0050839223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999049,0.000019164052,0.0000023575258,0.000013704946,0.000040792835,0.000019092087],"domain_scores_gemma":[0.99978405,0.00010752139,0.000023985409,0.000013834982,0.00005118893,0.000019553201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002773709,0.00030227922,0.00036162455,0.0002127013,0.00035355586,0.00043500416,0.00067969615,0.0011677754,0.0030024026],"category_scores_gemma":[0.00049818103,0.00028082772,0.00040992955,0.00034674662,0.00029395212,0.00035414536,0.00019555497,0.00021769755,0.00021368577],"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":[0.00007842108,0.00003376356,0.0009614251,0.00005349271,0.000013872485,0.00018280353,0.000044476958,0.98399055,0.010977829,0.0014467452,0.00020065364,0.0020158982],"study_design_scores_gemma":[0.000018892126,0.00002869652,0.00029824083,0.0000026627065,0.0000045581805,0.000026725482,0.0000074487825,0.99722004,0.0018874712,0.00015279981,0.00034848755,0.0000039331767],"about_ca_topic_score_codex":0.008061465,"about_ca_topic_score_gemma":0.006442774,"teacher_disagreement_score":0.008061465,"about_ca_system_score_codex":0.000812808,"about_ca_system_score_gemma":0.0010024008,"threshold_uncertainty_score":0.01602912},"labels":[],"label_agreement":null},{"id":"W4248615957","doi":"10.15353/cjo.79.294","title":"Editorial","year":2017,"lang":"en","type":"editorial","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"History; Media studies; Political science; Sociology","score_opus":0.008228437980208272,"score_gpt":0.3109269534887333,"score_spread":0.302698515508525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248615957","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002183935,0.0014306686,0.000053052543,0.010311138,0.9844468,0.000022746808,0.00006787103,0.00006916783,0.0035767157],"genre_scores_gemma":[0.0004198559,0.0026311297,0.000091782174,0.011385586,0.9619259,0.000030120213,0.00011588,0.000065428256,0.023334233],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944804,0.0006732189,0.00059929263,0.0007388873,0.003073534,0.00043463212],"domain_scores_gemma":[0.97644573,0.004568955,0.0013564377,0.001016789,0.012606228,0.00400584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049650026,0.0035990824,0.0028657753,0.0034751084,0.0032972186,0.008612661,0.0032974132,0.008690101,0.059031975],"category_scores_gemma":[0.028581807,0.00092526636,0.002555572,0.0013195782,0.0018821384,0.004314975,0.0013629289,0.01140638,0.051944666],"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":[0.000015095929,0.0000076156816,0.000014741788,0.000091348316,0.000004800549,0.000076495475,0.000005270693,0.000012236673,0.000021521608,0.00014951969,0.99592113,0.003680272],"study_design_scores_gemma":[0.000037375525,0.000020325062,0.00011311063,0.00036677514,0.000012201441,0.00019952584,0.000023632412,0.000050092935,0.00006640192,0.00045505472,0.99864656,0.00000898265],"about_ca_topic_score_codex":0.001240644,"about_ca_topic_score_gemma":0.0032526397,"teacher_disagreement_score":0.059031975,"about_ca_system_score_codex":0.0027169408,"about_ca_system_score_gemma":0.0035853498,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4248931084","doi":"10.1118/1.4812681","title":"Anatomical noise in contrast-enhanced digital mammography. Part II. Dual-energy imaging","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; University of Toronto","funders":"","keywords":"Mammography; Medicine; Digital mammography; Noise (video); Contrast-to-noise ratio; Contrast (vision); Nuclear medicine; Radiology; Artificial intelligence; Breast cancer; Computer science; Image quality; Cancer","score_opus":0.005263391405517873,"score_gpt":0.2219471023496978,"score_spread":0.21668371094417993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248931084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89226025,0.017957393,0.087048225,0.0002010532,0.00008832368,0.00015290712,0.0001304752,0.00021113441,0.0019502288],"genre_scores_gemma":[0.9758256,0.0031875644,0.019338816,0.00013122478,0.00008769527,0.00007269084,0.00031206943,0.00007397976,0.00097027613],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99810034,0.00053502846,0.00013682047,0.00023611796,0.0009244524,0.00006719306],"domain_scores_gemma":[0.99385095,0.0043528304,0.00070046843,0.0003269095,0.0006787703,0.000090083355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002104429,0.00063099415,0.00046390537,0.0017042981,0.00025544298,0.0009078446,0.0005154445,0.0009618757,0.0006803397],"category_scores_gemma":[0.013831878,0.0003821509,0.0003892278,0.00083944865,0.0007983552,0.0007490894,0.000698405,0.000289336,0.0003919151],"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":[0.00403903,0.0004364066,0.25736964,0.002069092,0.00032613045,0.0047245906,0.0010980734,0.010937442,0.26072735,0.0017518186,0.0009773241,0.45554313],"study_design_scores_gemma":[0.00009409425,0.0037473214,0.6832192,0.00041233117,0.00072557764,0.050862398,0.0005054047,0.043902982,0.20086673,0.0029230574,0.012599797,0.00014121516],"about_ca_topic_score_codex":0.00064598594,"about_ca_topic_score_gemma":0.000646211,"teacher_disagreement_score":0.002104429,"about_ca_system_score_codex":0.00043858436,"about_ca_system_score_gemma":0.00016181296,"threshold_uncertainty_score":0.011129439},"labels":[],"label_agreement":null},{"id":"W4249004135","doi":"10.1007/978-3-540-78450-0_2","title":"Detectors for Digital Mammography","year":2010,"lang":"en","type":"book-chapter","venue":"Medical radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre","funders":"","keywords":"Detector; SIGNAL (programming language); Computer science; Optics; Noise (video); Image resolution; Digital mammography; Physics; Electronic engineering; Computer vision; Mammography; Engineering; Image (mathematics)","score_opus":0.009038338604521492,"score_gpt":0.24602793276598006,"score_spread":0.23698959416145857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249004135","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007120886,0.052321374,0.060392898,0.0024341808,0.0032394761,0.00008009194,0.00021000254,0.0008349823,0.8797748],"genre_scores_gemma":[0.0043341597,0.022614216,0.01874433,0.0013652802,0.0005509854,0.00004093976,0.00017305459,0.00024445046,0.9519326],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967206,0.000045812067,0.000009786956,0.00006502074,0.00018684809,0.000020487467],"domain_scores_gemma":[0.9997943,0.00008052594,0.000008412188,0.000030913925,0.00007270314,0.000013083214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038202322,0.0012601364,0.0005496403,0.0016634761,0.0008092873,0.002339271,0.0012930372,0.0018666923,0.05126407],"category_scores_gemma":[0.00076120324,0.000602647,0.0004773403,0.0011784352,0.0011606478,0.0033192683,0.0014292329,0.0029915813,0.031669103],"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":[0.000024426128,0.000048924077,0.00008898218,0.00040597472,0.000011165662,0.00013441163,0.00024346451,0.0008003575,0.004211003,0.2937605,0.25387195,0.44639876],"study_design_scores_gemma":[0.0000018734444,0.000007544526,0.000060727485,0.00009459324,0.000004196547,0.00029890548,0.00002653491,0.0003442606,0.00096195197,0.026432479,0.9717591,0.0000080045575],"about_ca_topic_score_codex":0.00078764715,"about_ca_topic_score_gemma":0.0022259154,"teacher_disagreement_score":0.05126407,"about_ca_system_score_codex":0.0012142719,"about_ca_system_score_gemma":0.000996088,"threshold_uncertainty_score":0.17149544},"labels":[],"label_agreement":null},{"id":"W4252923163","doi":"10.32920/ryerson.14653425.v1","title":"A Simulation of a Novel High Quantum Efficiency Scintillating Fiber Detector with Anti-scatter Properties for Megavoltage X-Ray Imaging","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Toronto Metropolitan University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Detector; Image resolution; Square (algebra); Monte Carlo method; Materials science; Resolution (logic); Linear particle accelerator; Physics; Beam (structure); Computer science","score_opus":0.024600814871048628,"score_gpt":0.2623872691828377,"score_spread":0.2377864543117891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252923163","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8284266,0.0002818228,0.1501014,0.00036856774,0.00006623538,0.0001396643,0.00068995886,0.00066484633,0.019260881],"genre_scores_gemma":[0.95578223,0.00014759066,0.03859094,0.000035451296,0.000005637525,0.00008923664,0.00020922479,0.00005582763,0.0050839223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999049,0.000019164052,0.0000023575258,0.000013704946,0.000040792835,0.000019092087],"domain_scores_gemma":[0.99978405,0.00010752139,0.000023985409,0.000013834982,0.00005118893,0.000019553201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002773709,0.00030227922,0.00036162455,0.0002127013,0.00035355586,0.00043500416,0.00067969615,0.0011677754,0.0030024026],"category_scores_gemma":[0.00049818103,0.00028082772,0.00040992955,0.00034674662,0.00029395212,0.00035414536,0.00019555497,0.00021769755,0.00021368577],"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":[0.00007842108,0.00003376356,0.0009614251,0.00005349271,0.000013872485,0.00018280353,0.000044476958,0.98399055,0.010977829,0.0014467452,0.00020065364,0.0020158982],"study_design_scores_gemma":[0.000018892126,0.00002869652,0.00029824083,0.0000026627065,0.0000045581805,0.000026725482,0.0000074487825,0.99722004,0.0018874712,0.00015279981,0.00034848755,0.0000039331767],"about_ca_topic_score_codex":0.008061465,"about_ca_topic_score_gemma":0.006442774,"teacher_disagreement_score":0.008061465,"about_ca_system_score_codex":0.000812808,"about_ca_system_score_gemma":0.0010024008,"threshold_uncertainty_score":0.01602912},"labels":[],"label_agreement":null},{"id":"W4254987340","doi":"10.32920/ryerson.14651982.v1","title":"Characterization of a Single Pixel Beta Detector for Guidance in Breast-Conserving Surgery","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Toronto Metropolitan University","funders":"","keywords":"Detector; Scintillator; Pixel; Margin (machine learning); Nuclear medicine; Sensitivity (control systems); Breast cancer; Physics; Medicine; Computer science; Optics; Cancer; Electronic engineering; Internal medicine; Engineering","score_opus":0.025271736107149795,"score_gpt":0.25063705697009814,"score_spread":0.22536532086294833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254987340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95720655,0.0016014124,0.038866032,0.00012290175,0.000054445387,0.000103874736,0.00019431079,0.00015703715,0.0016933936],"genre_scores_gemma":[0.94135034,0.0010596797,0.054296933,0.00007729825,0.000015863423,0.000071401715,0.00026300675,0.000066433546,0.0027991438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999572,0.00006381149,0.000014818309,0.000102682934,0.00021105973,0.00003567759],"domain_scores_gemma":[0.99911433,0.00031269237,0.00019807322,0.000055564124,0.00026101517,0.000058392416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061462045,0.00022863614,0.00037002697,0.0002496066,0.00015564109,0.0007627953,0.0004866848,0.0007422146,0.0008057945],"category_scores_gemma":[0.0014515519,0.0003064969,0.00025686607,0.0002522952,0.00014961825,0.00029171945,0.00020328988,0.00020419867,0.0004233604],"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":[0.000093771225,0.000038263326,0.0012949375,0.000105936284,0.000015182307,0.00006285101,0.000050477065,0.0013269177,0.9894918,0.00015780336,0.00014591793,0.00721606],"study_design_scores_gemma":[0.000015320833,0.00063827465,0.004879801,0.000021429034,0.00005124542,0.00035551112,0.000074182266,0.019166853,0.97149974,0.000052113963,0.003227062,0.000018496357],"about_ca_topic_score_codex":0.00032639533,"about_ca_topic_score_gemma":0.00047297255,"teacher_disagreement_score":0.0008057945,"about_ca_system_score_codex":0.0003385336,"about_ca_system_score_gemma":0.00046162124,"threshold_uncertainty_score":0.00325042},"labels":[],"label_agreement":null},{"id":"W4255170996","doi":"10.1118/1.3611660","title":"SU‐E‐I‐86: Using Modulation Transfer Function as a Tool in a Digital Mammography QC Program","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Optical transfer function; Mammography; Imaging phantom; Digital mammography; Spatial frequency; Optics; Computed radiography; Detective quantum efficiency; Physics; Medical physics; Image quality; Computer science; Medicine; Artificial intelligence; Breast cancer","score_opus":0.025367913329980604,"score_gpt":0.26142845142225946,"score_spread":0.23606053809227884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255170996","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96729225,0.0006189544,0.02420847,0.000113162125,0.000015669608,0.00023947374,0.000790827,0.0014628388,0.0052583264],"genre_scores_gemma":[0.95684624,0.00018430238,0.038700674,0.000046920235,0.000005721481,0.00006806468,0.0007411321,0.00010340251,0.0033035108],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897975,0.00009556432,0.000027122505,0.000113404836,0.0007293001,0.000054862587],"domain_scores_gemma":[0.99860114,0.00037661116,0.00019100327,0.00017107616,0.00060718553,0.00005296595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014531749,0.00027106339,0.00018543779,0.0006208032,0.00028841858,0.0004167469,0.0007259187,0.00026654088,0.0021423164],"category_scores_gemma":[0.0035965543,0.00016964627,0.00013856713,0.00066122686,0.0004360745,0.0002330354,0.00028403822,0.0001373067,0.00040680534],"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":[0.0027896215,0.00034998165,0.1265026,0.00046136932,0.00007956644,0.0002926106,0.00042944882,0.0034364935,0.63215595,0.0005608471,0.0027624562,0.23017912],"study_design_scores_gemma":[0.00012991444,0.0022539487,0.1939145,0.000026874994,0.0001474588,0.0009284102,0.000109715715,0.036508713,0.7564082,0.00009203541,0.009425364,0.000054795666],"about_ca_topic_score_codex":0.049177267,"about_ca_topic_score_gemma":0.066125765,"teacher_disagreement_score":0.049177267,"about_ca_system_score_codex":0.0018018589,"about_ca_system_score_gemma":0.00084801734,"threshold_uncertainty_score":0.097782016},"labels":[],"label_agreement":null},{"id":"W4285493873","doi":"10.1186/s13058-022-01545-9","title":"The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density","year":2022,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; Princess Margaret Cancer Centre","funders":"National Cancer Institute; National Medical Research Council; Centre International de Recherche sur le Cancer; Faculty of Medicine, Dentistry and Health Sciences, University of Western Australia; Cancer Council Victoria; Medical Research Council; National Institutes of Health; Engineering and Physical Sciences Research Council; Israel Cancer Association; Universiti Malaya; ZonMw; Cancer Research UK; World Health Organization; European Commission; National Health and Medical Research Council; Isfahan University of Medical Sciences; Breast Cancer Campaign; Ellison Medical Foundation; American Institute for Cancer Research; Cancer Council Western Australia; Susan G. Komen for the Cure; World Cancer Research Fund; Instituto Nacional De Salud Pública; National Breast Cancer Foundation","keywords":"Menarche; Medicine; Breast cancer; Demography; MAMMOGRAPHIC DENSITY; Body mass index; Mammography; Population; Gynecology; Cancer; Internal medicine; Environmental health","score_opus":0.020200678575933734,"score_gpt":0.3026165485700607,"score_spread":0.282415869994127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285493873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61499816,0.3726796,0.003588783,0.0020985808,0.00029986005,0.0001736326,0.0030136216,0.00005573334,0.0030920696],"genre_scores_gemma":[0.981248,0.015783247,0.0011317934,0.0003871026,0.00013459797,0.000117459706,0.0010172558,0.00001226772,0.00016815812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939262,0.003920135,0.0005698856,0.00085642404,0.00047491462,0.0002523867],"domain_scores_gemma":[0.9798406,0.01274557,0.0038824815,0.0017932145,0.0013759468,0.00036220814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010394635,0.00083821104,0.0016797332,0.0019408043,0.0003269936,0.0019030645,0.0011132297,0.001163868,0.0013708234],"category_scores_gemma":[0.027098723,0.0006263467,0.006422069,0.0040553086,0.0006570873,0.00056517875,0.0011634867,0.0011721278,0.0001043223],"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":[0.003388253,0.00009144689,0.863722,0.0046503455,0.10514239,0.00012796622,0.00021280658,0.0007516487,0.00027740977,0.00048222893,0.0010623165,0.02009113],"study_design_scores_gemma":[0.0008414147,0.0005952347,0.79335654,0.0025856332,0.19525656,0.0005329658,0.00027852735,0.0015576954,0.0005117135,0.0010025871,0.0034257504,0.00005539091],"about_ca_topic_score_codex":0.01263871,"about_ca_topic_score_gemma":0.011003468,"teacher_disagreement_score":0.01263871,"about_ca_system_score_codex":0.0006913741,"about_ca_system_score_gemma":0.0010578638,"threshold_uncertainty_score":0.05497271},"labels":[],"label_agreement":null},{"id":"W4290723186","doi":"10.1038/s41598-022-17800-0","title":"A comparison of various methods for measuring breast density and breast tissue composition in adolescent girls and women","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health","keywords":"Breast cancer; Body mass index; Medicine; Breast density; Mammography; MAMMOGRAPHIC DENSITY; Breast imaging; Breast tissue; Cohort; Gynecology; Internal medicine; Cancer","score_opus":0.028869718361269746,"score_gpt":0.3398901157622335,"score_spread":0.31102039740096377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290723186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98958814,0.0024819681,0.0049648313,0.000054422486,0.000022238426,0.0001278623,0.00077927957,0.000035949804,0.0019452564],"genre_scores_gemma":[0.9863777,0.0013637062,0.010241119,0.0000503556,0.000022648828,0.0002705523,0.000783922,0.000019430558,0.00087048596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974298,0.0011670773,0.00019529523,0.0003315437,0.0007974271,0.0000788818],"domain_scores_gemma":[0.99694794,0.0012977205,0.00074538554,0.00020733758,0.00068242906,0.0001192593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036393967,0.00047438737,0.00034135248,0.0025651495,0.00025584514,0.0007186942,0.00047878994,0.00035052796,0.0006420108],"category_scores_gemma":[0.006380326,0.0003156884,0.00044061636,0.0012321884,0.00026926034,0.00030852275,0.00069931353,0.00024857422,0.00020614573],"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":[0.00017002314,0.00002402138,0.98179424,0.000086807275,0.0001568669,0.000032332253,0.00022786329,0.00011015964,0.002601457,0.00003529396,0.00006668509,0.014694308],"study_design_scores_gemma":[0.00001423481,0.00018565456,0.99584925,0.000041222564,0.00008017248,0.00027745406,0.000433601,0.000599528,0.0019394018,0.000025994483,0.00054212945,0.000011383885],"about_ca_topic_score_codex":0.004924204,"about_ca_topic_score_gemma":0.010958042,"teacher_disagreement_score":0.004924204,"about_ca_system_score_codex":0.00038793538,"about_ca_system_score_gemma":0.00027006867,"threshold_uncertainty_score":0.019247234},"labels":[],"label_agreement":null},{"id":"W4300092400","doi":"10.1016/b978-2-294-71511-2.00001-5","title":"10.1016/b978-2-294-71511-2.00001-5","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.007391122091964743,"score_gpt":0.1819155451737944,"score_spread":0.17452442308182967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300092400","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000119931916,0.00028508273,0.00040325947,0.00018478824,0.00012211868,0.000029017157,0.00033880686,0.00045104508,0.998066],"genre_scores_gemma":[0.0002663864,0.00015814585,0.00016555203,0.00007481517,0.000021417904,0.000016698474,0.00017513969,0.00011256201,0.99900913],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997063,0.000017264305,0.000013083472,0.000092601884,0.00012042921,0.00005023359],"domain_scores_gemma":[0.99912494,0.00022671904,0.000047022342,0.00009570637,0.00019802283,0.0003075479],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00057046604,0.0015867385,0.0009328462,0.0014271615,0.0011118191,0.0036807465,0.001854367,0.0034861385,0.9799653],"category_scores_gemma":[0.0011108256,0.000586672,0.00068235066,0.0014056688,0.00079766085,0.0032999655,0.0025180504,0.0017621238,0.9865993],"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":[0.000085664025,0.00009395226,0.00026274458,0.00036301656,0.000010193252,0.000099453064,0.000067946756,0.00019466803,0.0020869132,0.0055820206,0.46756104,0.52359235],"study_design_scores_gemma":[0.0000076204024,0.00002618271,0.00031422742,0.00017591663,0.0000036021195,0.00010608377,0.000043975975,0.000060801714,0.00018964504,0.00059194065,0.99847335,0.0000065883955],"about_ca_topic_score_codex":0.0021503496,"about_ca_topic_score_gemma":0.0028210268,"teacher_disagreement_score":0.02003467,"about_ca_system_score_codex":0.00072224834,"about_ca_system_score_gemma":0.0006196092,"threshold_uncertainty_score":0.02857697},"labels":[],"label_agreement":null},{"id":"W4304098575","doi":"10.1002/mp.16005","title":"3D‐printed large‐area focused grid for scatter reduction in cone‐beam CT","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Flat panel detector; Optics; Detector; Cone beam computed tomography; Image quality; Materials science; Image sensor; Beam (structure); X-ray detector; Grid; Physics; Computer science; Artificial intelligence; Geometry; Computed tomography; Medicine; Mathematics","score_opus":0.016465283766564507,"score_gpt":0.2652108534074801,"score_spread":0.24874556964091557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304098575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18599012,0.0016598407,0.8044778,0.00016108276,0.00014315538,0.00026727226,0.00047867023,0.002941999,0.003880035],"genre_scores_gemma":[0.42238307,0.0005197713,0.57510984,0.00009654763,0.000025215708,0.00012497707,0.0003186298,0.0003831192,0.0010387969],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960047,0.00006428608,0.000030105002,0.000054994875,0.00023044356,0.000019612393],"domain_scores_gemma":[0.99933857,0.0002569483,0.000103485836,0.00014305009,0.00013160957,0.000026274964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005099285,0.00039415417,0.00023238242,0.0007741274,0.00012388408,0.00056978053,0.0006044135,0.00043513314,0.0017722886],"category_scores_gemma":[0.0010724897,0.00039437463,0.00036977834,0.00047152277,0.00022444547,0.00024492654,0.00035278988,0.00029331326,0.0006502074],"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":[0.00048335196,0.00012739991,0.0047606165,0.00069517136,0.000067705536,0.0008201165,0.00020939374,0.03403039,0.7056732,0.0017568155,0.0034241644,0.24795157],"study_design_scores_gemma":[0.00011773033,0.0007682508,0.016938021,0.00012440495,0.00014417662,0.0048861434,0.0000851237,0.22829695,0.71985793,0.0013437605,0.027297867,0.00013968961],"about_ca_topic_score_codex":0.0005352491,"about_ca_topic_score_gemma":0.0011494122,"teacher_disagreement_score":0.0017722886,"about_ca_system_score_codex":0.00025568492,"about_ca_system_score_gemma":0.00034964987,"threshold_uncertainty_score":0.005928874},"labels":[],"label_agreement":null},{"id":"W4306921840","doi":"10.1200/jco.22.00574","title":"Health Benefits and Cost-Effectiveness of Children's Oncology Group Breast Cancer Screening Guidelines for Chest-Irradiated Hodgkin Lymphoma Survivors","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Cancer Institute","keywords":"Medicine; Breast cancer; Population; Cost effectiveness; Guideline; Mammography; Quality of life (healthcare); Cancer; Pediatrics; Internal medicine; Environmental health; Pathology","score_opus":0.15908003600990855,"score_gpt":0.47458276426242324,"score_spread":0.3155027282525147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306921840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96972823,0.01903526,0.0005139145,0.0036149488,0.000109430715,0.00030213376,0.0025106925,0.000043691474,0.0041416218],"genre_scores_gemma":[0.996846,0.0015846745,0.0005106489,0.00020585746,0.000029027771,0.00008284153,0.00058720144,0.000003380042,0.00015038105],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99670655,0.0019795266,0.00031029122,0.00021716734,0.00052550394,0.00026090222],"domain_scores_gemma":[0.9939255,0.0030118446,0.0020976777,0.00014015684,0.00036139737,0.00046342693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032051739,0.0004046695,0.0006574866,0.0011509012,0.00015248134,0.0010213932,0.00050928176,0.00092898705,0.0017372104],"category_scores_gemma":[0.02685868,0.00020145199,0.0020542606,0.0011349715,0.00034012296,0.0006512878,0.0006359302,0.0007702924,0.00010546537],"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":[0.013093339,0.002325299,0.6214977,0.0035090344,0.009274959,0.00040128714,0.00034388754,0.07113327,0.00047157318,0.0022116897,0.0068204342,0.26891747],"study_design_scores_gemma":[0.003374644,0.008708024,0.9123244,0.0033456518,0.0105401175,0.0007317254,0.0007551542,0.051344834,0.00091895595,0.0018262693,0.0060219145,0.000108245345],"about_ca_topic_score_codex":0.024468957,"about_ca_topic_score_gemma":0.026000831,"teacher_disagreement_score":0.024468957,"about_ca_system_score_codex":0.0033997886,"about_ca_system_score_gemma":0.0024254194,"threshold_uncertainty_score":0.048653066},"labels":[],"label_agreement":null},{"id":"W4307970403","doi":"10.2214/ajr.22.28572","title":"Challenging Contrast-Enhanced Mammography–Guided Biopsies: Practical Approach Using Real-Time Multimodality Imaging and a Proposed Procedural Algorithm","year":2022,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Mammography; Digital mammography; Multimodality; Contrast (vision); Medical physics; Biopsy; Imaging technology; Radiology; Sampling (signal processing); Algorithm; Artificial intelligence; Computer vision; Computer science; Breast cancer; Cancer","score_opus":0.014750480973794533,"score_gpt":0.2885115139043999,"score_spread":0.27376103293060533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307970403","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010463284,0.000652782,0.9862212,0.00070663996,0.000056314315,0.0001779028,0.000013363938,0.0005270151,0.0011814343],"genre_scores_gemma":[0.04707875,0.00071430975,0.9511315,0.00020174046,0.00012519363,0.00012238044,0.00003604748,0.00004954426,0.0005404851],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990213,0.00029246268,0.000113999995,0.00018255181,0.00032285537,0.00006687029],"domain_scores_gemma":[0.99918956,0.00027788608,0.00011774563,0.0001260819,0.00019646226,0.00009226232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001764327,0.0010376134,0.00043704853,0.0013566777,0.0006922547,0.0017959601,0.0017315891,0.0021445518,0.0015061034],"category_scores_gemma":[0.0026869948,0.0007088704,0.0007490481,0.0005089913,0.00084637007,0.0013487526,0.0014693807,0.0015990213,0.0010023644],"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":[0.00043755022,0.0003716505,0.009758797,0.00071246567,0.000097281925,0.007588774,0.00067837775,0.04590162,0.11164643,0.014215299,0.0050916676,0.8035001],"study_design_scores_gemma":[0.00021961512,0.0015879127,0.009680742,0.0004314828,0.00027330747,0.0920046,0.00075388385,0.74650276,0.07271395,0.030853592,0.044543583,0.00043456617],"about_ca_topic_score_codex":0.00064836425,"about_ca_topic_score_gemma":0.0014606293,"teacher_disagreement_score":0.0021445518,"about_ca_system_score_codex":0.00045982463,"about_ca_system_score_gemma":0.0014807583,"threshold_uncertainty_score":0.0093307495},"labels":[],"label_agreement":null},{"id":"W4309455313","doi":"10.3390/curroncol29110688","title":"Feasibility Study and Clinical Impact of Incorporating Breast Tissue Density in High-Risk Breast Cancer Screening Assessment","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; Children's Hospital of Eastern Ontario","funders":"","keywords":"Medicine; McNemar's test; Breast cancer; Breast density; Risk assessment; Internal medicine; Genetic testing; Oncology; Population; Mammography; Gynecology; Cancer; Environmental health","score_opus":0.08936502132976844,"score_gpt":0.4819818101549389,"score_spread":0.3926167888251705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309455313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923774,0.00034015882,0.0030539325,0.00039350416,0.000033704677,0.00070530316,0.0002064378,0.000031922416,0.0028576264],"genre_scores_gemma":[0.99244654,0.000084534266,0.006721988,0.00008817879,0.00003431252,0.0002510055,0.00014523801,0.000007829165,0.00022029263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.968586,0.024978574,0.00083537825,0.0009630415,0.0040752664,0.00056160643],"domain_scores_gemma":[0.96738386,0.019408578,0.004307848,0.0031927256,0.004238859,0.0014681993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028732043,0.00044658882,0.000371776,0.0007378507,0.00037445652,0.00090552936,0.0010178763,0.0006178289,0.0012857205],"category_scores_gemma":[0.05173658,0.0004364517,0.0008681203,0.0007026845,0.00063396414,0.0009942728,0.001480394,0.0005616361,0.00033135602],"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":[0.011774016,0.001971458,0.9189022,0.00010757591,0.00019351128,0.00014468053,0.00047786097,0.0018375273,0.0013564177,0.00021273782,0.00047629428,0.06254567],"study_design_scores_gemma":[0.0011032317,0.029335322,0.9490837,0.00007219117,0.00030058032,0.00058907346,0.0005364793,0.014422092,0.001992462,0.0002796197,0.0022242228,0.00006113034],"about_ca_topic_score_codex":0.004761315,"about_ca_topic_score_gemma":0.009365171,"teacher_disagreement_score":0.028732043,"about_ca_system_score_codex":0.0011025813,"about_ca_system_score_gemma":0.0016634451,"threshold_uncertainty_score":0.15195137},"labels":[],"label_agreement":null},{"id":"W4310730549","doi":"10.21203/rs.3.rs-2214507/v1","title":"Contrast Enhanced Mammography in Breast Cancer Surveillance","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Digital Radiography and Breast Imaging","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":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Mammography; Contrast (vision); Breast cancer; Cancer detection; Medicine; Medical physics; Cancer; Radiology; Computer science; Internal medicine; Artificial intelligence","score_opus":0.03116362959490078,"score_gpt":0.38338884658208267,"score_spread":0.3522252169871819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310730549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5464385,0.38926694,0.013120605,0.007243798,0.0011858699,0.0002573478,0.00051729137,0.0003158707,0.041653708],"genre_scores_gemma":[0.95289487,0.036908444,0.007094277,0.00087273034,0.00053984486,0.00003760792,0.00021738358,0.000013880457,0.0014209839],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985839,0.0009407026,0.00009045341,0.000096386466,0.00023588499,0.000052572555],"domain_scores_gemma":[0.99629754,0.0024244557,0.0004767364,0.00013016367,0.0005047576,0.00016632698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020941342,0.00030048343,0.0003717767,0.0011328447,0.00012439984,0.00072139024,0.00047359915,0.0005834386,0.0015262301],"category_scores_gemma":[0.008885961,0.00017650129,0.0002185338,0.00067900016,0.0002924672,0.00037614128,0.00039239306,0.0005382836,0.00036449364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016841168,0.0002659307,0.29841784,0.0015060592,0.00013908083,0.0025597499,0.00018270833,0.0011401544,0.0047227023,0.0012662446,0.005815627,0.68229973],"study_design_scores_gemma":[0.0004990008,0.007352335,0.72345805,0.0047994684,0.0011986227,0.0705276,0.0008351926,0.014874308,0.0384267,0.0032409271,0.13463713,0.00015070998],"about_ca_topic_score_codex":0.0013799334,"about_ca_topic_score_gemma":0.0010643014,"teacher_disagreement_score":0.0020941342,"about_ca_system_score_codex":0.00048282096,"about_ca_system_score_gemma":0.0004291019,"threshold_uncertainty_score":0.01107496},"labels":[],"label_agreement":null},{"id":"W4310958805","doi":"10.1002/mp.16114","title":"An experimental framework for assessing the detective quantum efficiency of spectroscopic x‐ray detectors","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Detective quantum efficiency; Optical transfer function; Detector; X-ray detector; Optics; Physics; Computer science; Image quality; Mathematics; Artificial intelligence; Image (mathematics)","score_opus":0.01587450189968556,"score_gpt":0.3353254760331257,"score_spread":0.31945097413344015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310958805","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01701394,0.00031022073,0.97573596,0.00027257978,0.00006634562,0.0007026102,0.00028962945,0.00037294356,0.0052357907],"genre_scores_gemma":[0.2524207,0.0004363921,0.7414921,0.0002483243,0.000059386886,0.0031377992,0.00028684296,0.000101393634,0.0018170723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9927071,0.0022427335,0.0003781514,0.0011700533,0.003221451,0.00028061413],"domain_scores_gemma":[0.9942007,0.0027532766,0.0006882689,0.0011758145,0.0009815504,0.00020041232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008121915,0.0012583026,0.0006857357,0.0022625322,0.0012495588,0.002392226,0.0038242382,0.0023213185,0.0035353925],"category_scores_gemma":[0.012989288,0.00091025163,0.00089393865,0.0009924255,0.0038976227,0.0028815498,0.0033235413,0.0025181738,0.000669831],"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":[0.00047888525,0.0011579838,0.0039687622,0.0008438189,0.00013674586,0.00026891366,0.00037339807,0.05786911,0.42119077,0.43907854,0.0016954973,0.07293758],"study_design_scores_gemma":[0.00015115221,0.0013895299,0.0061201267,0.0002822557,0.00008474586,0.00034634047,0.00039206052,0.45583537,0.3513454,0.16652898,0.017216014,0.00030796873],"about_ca_topic_score_codex":0.0016676441,"about_ca_topic_score_gemma":0.0012381644,"teacher_disagreement_score":0.008121915,"about_ca_system_score_codex":0.0032000046,"about_ca_system_score_gemma":0.0018619454,"threshold_uncertainty_score":0.042953372},"labels":[],"label_agreement":null},{"id":"W4312111805","doi":"","title":"Mammographic density parameters and breast cancer tumor characteristics among postmenopausal women","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"MAMMOGRAPHIC DENSITY; Postmenopausal women; Breast cancer; Medicine; Cancer; Oncology; Mammography; Breast density; Obstetrics; Gynecology; Internal medicine","score_opus":0.06870874325962378,"score_gpt":0.4522075251540507,"score_spread":0.38349878189442693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312111805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851936,0.00055151246,0.000039582406,0.000042093165,0.0000029261669,0.000004224938,0.00035933187,0.0000018084709,0.00047906413],"genre_scores_gemma":[0.9993824,0.00012373342,0.000025307263,0.000012981523,0.0000040656496,0.0000028599416,0.00024138171,0.0000010642691,0.00020617645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999811,0.000042466676,0.000015492307,0.000040696767,0.000051239345,0.0000390854],"domain_scores_gemma":[0.99920064,0.00021825376,0.00025077746,0.00009452898,0.0001180011,0.0001177777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039017142,0.00011468944,0.0002503896,0.0004191825,0.00020786625,0.0004022215,0.00026241766,0.00027729926,0.0010517215],"category_scores_gemma":[0.0027270438,0.00017564172,0.00019988764,0.00082344736,0.00014006787,0.00018294291,0.00025796975,0.00028337768,0.00014804568],"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":[0.0000650985,0.00000777106,0.9984566,0.0000032224295,0.000032350403,0.000015703856,0.000031766467,0.00001841638,0.00007517564,0.0000115809,0.000064982196,0.0012173542],"study_design_scores_gemma":[0.0000033345627,0.000021153415,0.99956137,0.000003904709,0.00001827128,0.000050135044,0.0000847158,0.000076820776,0.000020563139,0.000017210976,0.00014082836,0.000001683941],"about_ca_topic_score_codex":0.06040609,"about_ca_topic_score_gemma":0.09082977,"teacher_disagreement_score":0.06040609,"about_ca_system_score_codex":0.0004355969,"about_ca_system_score_gemma":0.00033741168,"threshold_uncertainty_score":0.12010896},"labels":[],"label_agreement":null},{"id":"W4313888578","doi":"10.3390/curroncol30010064","title":"Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Artificial intelligence; Mammography; False positive paradox; Breast cancer; Support vector machine; Population; Gold standard (test); Machine learning; Digital mammography; Medical physics; Cancer; Radiology; Computer science; Internal medicine","score_opus":0.07664421947553403,"score_gpt":0.3359154004739648,"score_spread":0.2592711809984308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313888578","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16788645,0.003181409,0.82214785,0.00045790974,0.00018197401,0.0002836308,0.0009958467,0.0017320379,0.0031329358],"genre_scores_gemma":[0.7713071,0.0011516473,0.22353119,0.000156016,0.00022517376,0.00038141117,0.0013924292,0.00006797256,0.0017870724],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995571,0.00010454208,0.00005556002,0.00010447063,0.00013267422,0.00004569916],"domain_scores_gemma":[0.99879587,0.00068470085,0.00016988498,0.00006625211,0.00025324282,0.000030056339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081760046,0.0008073854,0.0005690538,0.0022495931,0.00019337444,0.0007251885,0.0006344383,0.0006809468,0.0013448418],"category_scores_gemma":[0.00311841,0.00016879659,0.00066666957,0.0014673957,0.00021220927,0.0005342517,0.00048211162,0.0006765343,0.00091598416],"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":[0.0002515971,0.00033116966,0.015236629,0.0002722944,0.00020072829,0.00020013213,0.000107889064,0.1344963,0.01206362,0.0010792926,0.0026874584,0.83307284],"study_design_scores_gemma":[0.0000175139,0.00020878088,0.010260237,0.00007227912,0.00008583915,0.00024352252,0.000072556344,0.97559863,0.007772047,0.0033187922,0.002319048,0.000030808962],"about_ca_topic_score_codex":0.001140796,"about_ca_topic_score_gemma":0.0008037921,"teacher_disagreement_score":0.0022495931,"about_ca_system_score_codex":0.0003242772,"about_ca_system_score_gemma":0.00033374457,"threshold_uncertainty_score":0.004498899},"labels":[],"label_agreement":null},{"id":"W4318450069","doi":"10.1002/mp.16241","title":"Digital mammography: The excitement of creating a new imaging modality","year":2023,"lang":"en","type":"review","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; National Institutes of Health; Canadian Breast Cancer Research Alliance","keywords":"Modality (human–computer interaction); Timeline; Mammography; Digital mammography; Medical physics; Tomosynthesis; Multimodality; Medical imaging; Medicine; Breast imaging; Multidisciplinary approach; Breast cancer; Radiology; Computer science; Artificial intelligence; Cancer; Political science","score_opus":0.05123482492698232,"score_gpt":0.3493329224815307,"score_spread":0.29809809755454836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318450069","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006801012,0.9963425,0.00018836273,0.0017723625,0.0004586609,0.0000020559576,0.000007748056,0.00000868102,0.001151742],"genre_scores_gemma":[0.0007001568,0.996381,0.00028777448,0.0013986793,0.00079403026,0.0000036220865,0.000012869659,0.0000032333883,0.00041869402],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992914,0.00019566143,0.000072171584,0.00009819539,0.00029674903,0.00004574739],"domain_scores_gemma":[0.99774855,0.001527045,0.00015060292,0.000070666996,0.0003535789,0.00014947496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015990615,0.00073433766,0.0011910672,0.0036553526,0.00047516238,0.00221214,0.00088547583,0.0023114802,0.0033724813],"category_scores_gemma":[0.002665078,0.00028614717,0.0005561806,0.0032647543,0.001975038,0.0043616323,0.001273614,0.0045303064,0.0016007227],"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":[0.000057274377,0.00005149611,0.00033024602,0.013095435,0.00007169553,0.0002325981,0.00024909244,0.00019968848,0.0013681864,0.018990433,0.058049716,0.9073042],"study_design_scores_gemma":[0.0000062034096,0.000062611245,0.00052567484,0.0038118311,0.000037249578,0.0020207632,0.00016345203,0.00004508175,0.00032542515,0.0053172912,0.98766124,0.000023201981],"about_ca_topic_score_codex":0.0011980667,"about_ca_topic_score_gemma":0.0016446961,"teacher_disagreement_score":0.0036553526,"about_ca_system_score_codex":0.0011159218,"about_ca_system_score_gemma":0.001305074,"threshold_uncertainty_score":0.011282086},"labels":[],"label_agreement":null},{"id":"W4319334001","doi":"10.1148/radiol.222575","title":"Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities","year":2023,"lang":"en","type":"review","venue":"Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; NYU Grossman School of Medicine; National Institutes of Health; National Cancer Institute; National Research Foundation; Institute for Translational Medicine and Therapeutics; York University; National Center for Advancing Translational Sciences; Wellcome Trust; University of Pennsylvania; Breast Cancer Alliance; Burroughs Wellcome Fund; National Research Foundation of Korea; U.S. Department of Defense","keywords":"Medicine; Breast cancer; Mammography; Breast imaging; Breast density; Digital mammography; Breast MRI; Radiology; Digital Breast Tomosynthesis; Breast cancer screening; BI-RADS; Magnetic resonance imaging; Risk assessment; Breast tissue; Oncology; Cancer; Internal medicine","score_opus":0.03975254722593445,"score_gpt":0.3243774995439935,"score_spread":0.284624952318059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319334001","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007204031,0.99849975,0.0002479639,0.0004039221,0.00016290633,0.0000059654953,0.000045166926,0.000006940584,0.0005552828],"genre_scores_gemma":[0.0017395847,0.99631375,0.00050793606,0.00047100507,0.00037282298,0.000020627083,0.00010944701,0.0000049284486,0.00045994355],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915683,0.00025467537,0.00013640997,0.00012964547,0.000290467,0.0000320057],"domain_scores_gemma":[0.99822336,0.0012037156,0.00021514582,0.00004816672,0.00025855197,0.000051064395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016277343,0.0012449684,0.0024052842,0.004956518,0.00022517749,0.0014439779,0.0012833555,0.0013967933,0.0041060513],"category_scores_gemma":[0.0037871047,0.00042188587,0.0015972028,0.0036880404,0.0007354905,0.0020304855,0.00096036016,0.0024126698,0.0015554893],"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":[0.00007071721,0.000043207463,0.00065712736,0.020113872,0.0005850403,0.00008192098,0.000064382555,0.00044875513,0.0002457504,0.0054412745,0.035514794,0.9367331],"study_design_scores_gemma":[0.00004950126,0.00016392792,0.004050283,0.02369801,0.0011611623,0.0023539055,0.00011921302,0.0005585045,0.00044992135,0.009305461,0.9580097,0.000080363185],"about_ca_topic_score_codex":0.002858102,"about_ca_topic_score_gemma":0.0030705973,"teacher_disagreement_score":0.004956518,"about_ca_system_score_codex":0.0010515081,"about_ca_system_score_gemma":0.0015893022,"threshold_uncertainty_score":0.013736069},"labels":[],"label_agreement":null},{"id":"W4321441011","doi":"10.1007/978-3-031-22871-1_2","title":"Digital Radiography: A Technical Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Burnaby Hospital","funders":"","keywords":"Digital radiography; Radiography; Computed radiography; Preprocessor; Flat panel detector; Computer vision; Computer science; Artificial intelligence; Imaging science; Computer graphics (images); Detector; Medical physics; Image (mathematics); Medicine; Image quality; Radiology","score_opus":0.06402029111407273,"score_gpt":0.37703429820687234,"score_spread":0.3130140070927996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321441011","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000038539063,0.99920243,0.000048862326,0.00017949416,0.00015874814,0.0000061225887,0.00002326688,0.0000043741484,0.0003382076],"genre_scores_gemma":[0.00025313415,0.99874157,0.00013849499,0.0003497161,0.0002609947,0.000008015608,0.000028663853,0.0000014992296,0.00021792226],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999268,0.00013326373,0.00019569565,0.00011748095,0.00023559274,0.00004993564],"domain_scores_gemma":[0.9974322,0.0013712244,0.00045038824,0.00006143794,0.0005262987,0.00015847915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014084908,0.0014555271,0.0028993604,0.008746595,0.00037921747,0.0020588308,0.0013641092,0.0019285951,0.008697889],"category_scores_gemma":[0.0037421447,0.0006344229,0.0011069566,0.007851327,0.001004027,0.0030002482,0.0017814391,0.0016796459,0.0033487885],"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":[0.00012676403,0.00007260352,0.0003153552,0.071970075,0.00021971564,0.0002671509,0.00007602198,0.00017513985,0.000749583,0.0013205041,0.050413255,0.8742938],"study_design_scores_gemma":[0.00008407588,0.00017729556,0.0020114777,0.042273995,0.0011869691,0.0029053949,0.0001312132,0.00008899742,0.00034501497,0.0010897871,0.94964504,0.000060812803],"about_ca_topic_score_codex":0.0017715598,"about_ca_topic_score_gemma":0.0043302355,"teacher_disagreement_score":0.008746595,"about_ca_system_score_codex":0.0011584212,"about_ca_system_score_gemma":0.0035428756,"threshold_uncertainty_score":0.029097378},"labels":[],"label_agreement":null},{"id":"W4321612729","doi":"10.1001/jamanetworkopen.2023.0524","title":"A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis","year":2023,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute","keywords":"Data set; Artificial intelligence; Benchmark (surveying); Sensitivity (control systems); Set (abstract data type); Computer science; Test set; Code (set theory); Health care; Tomosynthesis; Machine learning; Medical physics; Medicine; Mammography; Breast cancer; Cancer; Cartography","score_opus":0.08941549269208739,"score_gpt":0.3487572924536095,"score_spread":0.2593417997615221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321612729","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36540234,0.0040816474,0.36340714,0.024233522,0.0061587617,0.015961945,0.080275275,0.057076007,0.083403304],"genre_scores_gemma":[0.24371426,0.0008325276,0.49400604,0.002489221,0.0005769355,0.010195853,0.22227137,0.009247127,0.01666674],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.977833,0.008048636,0.001603719,0.0023212545,0.008944575,0.0012489543],"domain_scores_gemma":[0.8971322,0.031270403,0.0044986648,0.017664593,0.039029934,0.010404111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03833707,0.0025950333,0.0010192367,0.003421595,0.0024830005,0.0038234065,0.0071877833,0.0028453318,0.0070080645],"category_scores_gemma":[0.0791271,0.0009844952,0.0018282309,0.0030207254,0.0019669377,0.004008627,0.0067655207,0.0042960905,0.0076082167],"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":[0.0018688855,0.003668496,0.02236146,0.0014060327,0.00029533904,0.0005065344,0.0011760896,0.038947772,0.010392325,0.007652243,0.5442076,0.36751723],"study_design_scores_gemma":[0.0046487935,0.008528863,0.0940989,0.001683423,0.00024963333,0.0014688224,0.0020836464,0.34308365,0.046159144,0.025773399,0.47134086,0.000880864],"about_ca_topic_score_codex":0.012966613,"about_ca_topic_score_gemma":0.015349528,"teacher_disagreement_score":0.03833707,"about_ca_system_score_codex":0.004182816,"about_ca_system_score_gemma":0.009544003,"threshold_uncertainty_score":0.20274824},"labels":[],"label_agreement":null},{"id":"W4321766116","doi":"10.1038/s41416-023-02201-5","title":"Alternative methods to measure breast density in younger women","year":2023,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Cancer Australia; National Breast Cancer Foundation; Australian Government","keywords":"Measure (data warehouse); Medicine; Breast cancer; Internal medicine; Computer science; Cancer; Data mining","score_opus":0.02053188281437466,"score_gpt":0.3424959251825704,"score_spread":0.3219640423681957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321766116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621156,0.0058944277,0.021260837,0.00051612,0.000100489575,0.00035093346,0.0019185101,0.0001261475,0.007716904],"genre_scores_gemma":[0.96719235,0.0021337343,0.027327422,0.0002725294,0.00008654919,0.0005121264,0.0007182837,0.000019051464,0.0017378605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99613994,0.00207401,0.0002985011,0.00028044207,0.0010957209,0.00011131548],"domain_scores_gemma":[0.9912704,0.0035723152,0.0029425807,0.0004878147,0.0015352216,0.00019152551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050877384,0.0005110954,0.00036930805,0.0016760844,0.00017038565,0.00050293654,0.0004834627,0.00058089726,0.0027130325],"category_scores_gemma":[0.010617305,0.00021948201,0.0005235663,0.00095813023,0.00027103134,0.0004458933,0.00084895396,0.00037405177,0.000590758],"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":[0.00073423435,0.00015551562,0.8696633,0.0004704243,0.00023164625,0.00012882656,0.0015907199,0.00048931595,0.005436561,0.0003559557,0.0011014292,0.119642034],"study_design_scores_gemma":[0.00006871706,0.0014010429,0.9828493,0.00027714405,0.00013880037,0.0015576245,0.001562106,0.0021757123,0.0035602192,0.0006513199,0.0057038306,0.000054071832],"about_ca_topic_score_codex":0.0019305915,"about_ca_topic_score_gemma":0.0040340256,"teacher_disagreement_score":0.0050877384,"about_ca_system_score_codex":0.0002565195,"about_ca_system_score_gemma":0.00019150999,"threshold_uncertainty_score":0.026906848},"labels":[],"label_agreement":null},{"id":"W4379801431","doi":"10.1016/j.currproblcancer.2023.100967","title":"Imaging of breast cancer–beyond the basics","year":2023,"lang":"en","type":"review","venue":"Current Problems in Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Medicine; Breast cancer; Modality (human–computer interaction); Mammography; Modalities; Magnetic resonance imaging; Medical physics; Breast imaging; Radiology; Strengths and weaknesses; Cancer; Medical imaging; Clinical Practice; Population; Artificial intelligence; Internal medicine; Physical therapy","score_opus":0.09033015024183529,"score_gpt":0.4024694105839911,"score_spread":0.31213926034215583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379801431","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008822791,0.99680686,0.00021392234,0.0009175642,0.00033224197,0.0000033067943,0.000010021764,0.000008928481,0.0016189563],"genre_scores_gemma":[0.0012354108,0.9965725,0.00026255532,0.0006110742,0.000798181,0.0000038870267,0.00001790394,0.0000029927305,0.0004954374],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992429,0.00021042197,0.000095812095,0.00009024823,0.00030909208,0.000051544932],"domain_scores_gemma":[0.99848396,0.0009141881,0.00012742018,0.000056075278,0.00035921583,0.00005909674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009969358,0.0008054836,0.0013040924,0.0033432979,0.00042098656,0.0018587736,0.0009584384,0.0017044507,0.0030719507],"category_scores_gemma":[0.0022384536,0.0002903075,0.0006038435,0.002770847,0.001892977,0.0030424744,0.0009331475,0.0027456486,0.0022021218],"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":[0.00005577722,0.00004874682,0.0008035724,0.017930971,0.00008424985,0.0005916484,0.00028580969,0.00037494116,0.0018841401,0.016457357,0.05323277,0.90825003],"study_design_scores_gemma":[0.0000053756353,0.000047255973,0.0013646852,0.006887868,0.000048322854,0.0072455117,0.00021737997,0.000094745184,0.0005042834,0.010494174,0.9730647,0.00002561908],"about_ca_topic_score_codex":0.0016995901,"about_ca_topic_score_gemma":0.0011947005,"teacher_disagreement_score":0.0033432979,"about_ca_system_score_codex":0.0010830197,"about_ca_system_score_gemma":0.0015216467,"threshold_uncertainty_score":0.010276735},"labels":[],"label_agreement":null},{"id":"W4383998835","doi":"10.1158/1055-9965.epi-23-0444","title":"Socioeconomic Status at Birth and Breast Tissue Composition in Adolescence and Adulthood","year":2023,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Digital Radiography and Breast Imaging","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":"Princess Margaret Cancer Centre; University of Toronto","funders":"National Institute of Environmental Health Sciences; National Cancer Institute","keywords":"Body mass index; Socioeconomic status; Medicine; Confidence interval; Demography; Breast cancer; Cohort study; Mass index; Obstetrics; Cancer; Internal medicine; Population","score_opus":0.021478971993428967,"score_gpt":0.3331714883785934,"score_spread":0.31169251638516443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383998835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905175,0.0002528038,0.00006268764,0.00006169787,0.0000036486986,0.0000031136494,0.00026553354,0.000001621967,0.00029713262],"genre_scores_gemma":[0.9994867,0.0001283961,0.000050713476,0.000009228627,0.0000033945012,0.0000038945327,0.0002022105,7.765702e-7,0.000114794915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998443,0.000040319144,0.000011932897,0.00003035321,0.000031480373,0.000041655465],"domain_scores_gemma":[0.99917895,0.00013408349,0.0003903327,0.000041908086,0.000091891656,0.00016282663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045651235,0.00016100834,0.00015591248,0.00034724566,0.00024591354,0.00039018967,0.00016938976,0.00017979779,0.0012480987],"category_scores_gemma":[0.001420706,0.00011873927,0.00027351768,0.00036906204,0.00019879038,0.00021036994,0.0004052949,0.00035336634,0.000113949915],"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":[0.000022120603,0.0000094324905,0.9991456,0.0000033307322,0.000023879078,0.000017436932,0.00003845101,0.00002211385,0.00007159915,0.00002026164,0.000037170845,0.00058863405],"study_design_scores_gemma":[4.824246e-7,0.000012491805,0.99976355,0.0000030720812,0.000006374789,0.000021383976,0.0000380535,0.000060330512,0.000018287805,0.0000100518255,0.000065484404,5.2516725e-7],"about_ca_topic_score_codex":0.017552609,"about_ca_topic_score_gemma":0.017790478,"teacher_disagreement_score":0.017552609,"about_ca_system_score_codex":0.0002756255,"about_ca_system_score_gemma":0.0002768003,"threshold_uncertainty_score":0.034900904},"labels":[],"label_agreement":null},{"id":"W4384519180","doi":"10.1109/led.2023.3296332","title":"A Low-Temperature Processed Organic Hole-Blocking Contact Layer for Amorphous Selenium X-Ray Photoconductor","year":2023,"lang":"en","type":"article","venue":"IEEE Electron Device Letters","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electroluminescence; X-ray detector; Amorphous solid; Materials science; Analytical Chemistry (journal); Optoelectronics; Layer (electronics); Physics; Detector; Optics; Chemistry; Nanotechnology; Crystallography; Organic chemistry","score_opus":0.014163870354150938,"score_gpt":0.26390196553321493,"score_spread":0.249738095179064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384519180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98396194,0.00060410576,0.011714693,0.00009834345,0.0000874971,0.0000579266,0.0004301026,0.000478293,0.002567125],"genre_scores_gemma":[0.982679,0.00027577943,0.01308753,0.00004538895,0.00001285976,0.000043401276,0.0001582747,0.000038233946,0.003659426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999014,0.0000041042963,0.000005286905,0.000036922327,0.000034590612,0.000017730992],"domain_scores_gemma":[0.9999106,0.000019070434,0.00002355904,0.000016313394,0.000022439603,0.0000079806705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057868172,0.00025386215,0.00016049731,0.000115484865,0.00016336498,0.00025678452,0.00053865934,0.0003059186,0.0013964163],"category_scores_gemma":[0.00016385093,0.00012837918,0.00013791266,0.00013761802,0.00009814572,0.00024366229,0.00016196672,0.00024729865,0.0005184006],"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":[0.000013791281,0.00000888687,0.00012592634,0.000026687208,0.0000021491157,0.00006846646,0.000012087595,0.000054764336,0.9980299,0.000093909955,0.000101801495,0.0014615896],"study_design_scores_gemma":[0.000003736285,0.00006224874,0.0008087584,0.0000029185064,0.0000043940054,0.000096536205,0.000010230818,0.0013365237,0.99602604,0.00001451179,0.0016305336,0.000003669222],"about_ca_topic_score_codex":0.00063354435,"about_ca_topic_score_gemma":0.0012119977,"teacher_disagreement_score":0.0013964163,"about_ca_system_score_codex":0.0003172032,"about_ca_system_score_gemma":0.00017710109,"threshold_uncertainty_score":0.0046714544},"labels":[],"label_agreement":null},{"id":"W4385301410","doi":"","title":"Digital mammography: performance evaluation parameters and available systems in France","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Mammography; Digital mammography; Computer science; Medicine; Breast cancer; Internal medicine","score_opus":0.016318793463141842,"score_gpt":0.2354442634901001,"score_spread":0.21912547002695826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385301410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9575642,0.011375389,0.015257916,0.00073698984,0.000064169646,0.00011009738,0.0036721642,0.0022321953,0.008986925],"genre_scores_gemma":[0.9852057,0.0013170895,0.008265964,0.00009100902,0.00006825849,0.00005363708,0.0027504025,0.00018464254,0.002063279],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9950405,0.0020183953,0.00035371838,0.0007626453,0.001316905,0.00050783093],"domain_scores_gemma":[0.98965293,0.0053415797,0.0006030798,0.0005657744,0.0034560217,0.00038069117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005220455,0.000767917,0.000731542,0.0041629793,0.0004884667,0.001730008,0.0009585288,0.0015070345,0.002593756],"category_scores_gemma":[0.011908343,0.0002223517,0.00060666143,0.00409232,0.0004604505,0.0012924371,0.00057585136,0.0002618376,0.0009738249],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0100271385,0.0008590811,0.21608649,0.0013579687,0.00083913724,0.0008460281,0.00087270414,0.11902199,0.018553432,0.0051302672,0.016142165,0.6102637],"study_design_scores_gemma":[0.00059270015,0.0043577887,0.70630026,0.00030955795,0.0012720686,0.004096296,0.0011291386,0.19788854,0.04478104,0.0025602584,0.036397185,0.00031522708],"about_ca_topic_score_codex":0.031535383,"about_ca_topic_score_gemma":0.016024191,"teacher_disagreement_score":0.031535383,"about_ca_system_score_codex":0.0048168884,"about_ca_system_score_gemma":0.0011214254,"threshold_uncertainty_score":0.06270367},"labels":[],"label_agreement":null},{"id":"W4385615098","doi":"10.1186/s13058-023-01685-6","title":"Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute on Aging; National Cancer Institute; National Institutes of Health; Kaiser Permanente; Robert Wood Johnson Foundation; Wayne and Gladys Valley Foundation; Ellison Medical Foundation","keywords":"Breast cancer; Medicine; Hazard ratio; Mammography; Digital mammography; Confidence interval; Cohort; Gynecology; Oncology; Body mass index; Breast cancer screening; Obstetrics; Internal medicine; Cancer","score_opus":0.0283964335617097,"score_gpt":0.3334861366043001,"score_spread":0.3050897030425904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385615098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988758,0.000059671303,0.00018955418,0.00000949497,0.0000010922573,0.0000138154555,0.0006503652,0.000011885715,0.00018822655],"genre_scores_gemma":[0.99829143,0.00004149845,0.00050191465,0.00001132953,0.000003624224,0.000031503347,0.00087841385,0.0000043768755,0.00023604518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965096,0.0001089819,0.000031659874,0.000088362096,0.00008980214,0.000030099778],"domain_scores_gemma":[0.99826354,0.00030944063,0.0006241467,0.00027312653,0.00042147023,0.000108278844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009774389,0.00024364903,0.00019784927,0.000940141,0.00030292606,0.0004967757,0.00036724872,0.00022161935,0.0009416106],"category_scores_gemma":[0.0027559327,0.00030853803,0.00019817683,0.00084077235,0.00017840172,0.00031268617,0.00045101604,0.00022474462,0.00023483402],"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":[0.000081504055,0.00002272792,0.99803275,0.0000049943237,0.000031211814,0.000014204118,0.00007015556,0.000030736388,0.00016309354,0.000007751348,0.0000831329,0.0014577226],"study_design_scores_gemma":[0.00000418447,0.000046083398,0.999308,0.0000019930624,0.000013293997,0.000064780834,0.00008184522,0.0002563635,0.00007817467,0.000008614946,0.0001340898,0.0000025112365],"about_ca_topic_score_codex":0.013896041,"about_ca_topic_score_gemma":0.013761665,"teacher_disagreement_score":0.013896041,"about_ca_system_score_codex":0.0002731023,"about_ca_system_score_gemma":0.0002115091,"threshold_uncertainty_score":0.02763033},"labels":[],"label_agreement":null},{"id":"W4385688392","doi":"10.1620/tjem.2023.j066","title":"Risk Analysis of Breast Cancer by Using Bilateral Mammographic Density Differences: A Case-Control Study","year":2023,"lang":"en","type":"article","venue":"The Tohoku Journal of Experimental Medicine","topic":"Digital Radiography and Breast Imaging","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":"Institute of Aging","funders":"Japan Society for the Promotion of Science","keywords":"Breast cancer; Medicine; Mammography; BI-RADS; Confidence interval; Odds ratio; Case-control study; MAMMOGRAPHIC DENSITY; Risk factors for breast cancer; Breast imaging; Risk factor; Cancer; Retrospective cohort study; Gynecology; Radiology; Obstetrics; Oncology; Internal medicine","score_opus":0.02225667158137614,"score_gpt":0.31706525204306024,"score_spread":0.2948085804616841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385688392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971877,0.0006799132,0.0015463629,0.000022862263,0.00001290019,0.00008067534,0.0001145029,0.000006915538,0.00034805163],"genre_scores_gemma":[0.9984432,0.00017817954,0.0010078547,0.00001841508,0.000018043424,0.00006719134,0.00014460112,0.0000025453057,0.00011988951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977283,0.00087811,0.00023520147,0.00059628935,0.00043900372,0.00012303014],"domain_scores_gemma":[0.99827003,0.0005449061,0.00041371258,0.00046875683,0.0001913981,0.00011132533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023513227,0.00048176543,0.0005432288,0.0013226256,0.0006448255,0.0005844006,0.0005490355,0.0006679078,0.0008769676],"category_scores_gemma":[0.00478489,0.0006345683,0.000654642,0.0011819612,0.0005297867,0.00037220845,0.0004916841,0.00045354397,0.00011645414],"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":[0.0007934147,0.00021692582,0.99325657,0.000034284734,0.00037762354,0.00029779665,0.00011472831,0.00006811457,0.0013865033,0.0001180964,0.00005583951,0.0032799977],"study_design_scores_gemma":[0.00016902151,0.0010772923,0.9942216,0.000011567014,0.00045710462,0.0017872457,0.00013778356,0.0009386278,0.00053813984,0.00012373227,0.00052232173,0.000015518384],"about_ca_topic_score_codex":0.0035513279,"about_ca_topic_score_gemma":0.0027874585,"teacher_disagreement_score":0.0035513279,"about_ca_system_score_codex":0.00032893967,"about_ca_system_score_gemma":0.00023694703,"threshold_uncertainty_score":0.012435138},"labels":[],"label_agreement":null},{"id":"W4385836853","doi":"10.1186/s13058-023-01692-7","title":"Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast","year":2023,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute","keywords":"Epidemiology; Adipose tissue; Stromal cell; Breast cancer; Medicine; Confidence interval; Biopsy; Epithelium; Pathology; Physiology; Internal medicine; Gynecology; Cancer","score_opus":0.07591088516950562,"score_gpt":0.3842429692462984,"score_spread":0.3083320840767928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385836853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99736845,0.0011623229,0.00041214662,0.0000651035,0.00000955018,0.0000063334187,0.00034722942,0.0000076270476,0.00062128477],"genre_scores_gemma":[0.99952114,0.00010252752,0.00015234115,0.000010876773,0.000006882482,0.00000325254,0.000089450565,0.0000021111966,0.00011145624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995722,0.00019064844,0.000033578228,0.000108610395,0.000051795036,0.000043129938],"domain_scores_gemma":[0.9969215,0.0011701594,0.0012489636,0.00024302973,0.0001920894,0.00022432547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089400896,0.00024766815,0.00015341926,0.00060932466,0.00016025842,0.00061459554,0.00025076634,0.00026936433,0.0019232568],"category_scores_gemma":[0.004263434,0.00017009658,0.00023789235,0.00065099145,0.00028097286,0.00027794376,0.00025271554,0.0003648171,0.0001673619],"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":[0.00014163072,0.000017610004,0.9974847,0.000008623815,0.000074907824,0.000018560464,0.000021122014,0.00007922141,0.00027921994,0.00002237193,0.000037033078,0.0018150754],"study_design_scores_gemma":[0.0000017243703,0.00006228638,0.9989215,0.0000042263982,0.000027987173,0.00013220136,0.00005356139,0.0004994492,0.00011136994,0.000058311478,0.00012515904,0.0000022296122],"about_ca_topic_score_codex":0.001746939,"about_ca_topic_score_gemma":0.0013771614,"teacher_disagreement_score":0.0019232568,"about_ca_system_score_codex":0.00013353024,"about_ca_system_score_gemma":0.00015899102,"threshold_uncertainty_score":0.006433964},"labels":[],"label_agreement":null},{"id":"W4386084819","doi":"10.1007/s10278-021-00435-4","title":"Assessing Available Open-Source PACS Options","year":2023,"lang":"en","type":"review","venue":"Journal of Digital Imaging","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Open source; Picture archiving and communication system; Documentation; Computer science; Medical imaging; Health care; Open source hardware; Multimedia; Medicine; Software; Operating system","score_opus":0.12257633452137598,"score_gpt":0.40353831192265793,"score_spread":0.2809619774012819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386084819","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017936513,0.9977436,0.00012317007,0.0003962696,0.00012608533,0.000012812298,0.00011733061,0.000012178277,0.0012891943],"genre_scores_gemma":[0.0008669769,0.9977089,0.00043897572,0.00043828468,0.000093760915,0.000014638825,0.00017479733,0.000007323054,0.00025624147],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984748,0.00033000842,0.0003963645,0.00017778426,0.00053652265,0.0000844362],"domain_scores_gemma":[0.9906283,0.006431486,0.0009584851,0.00017918399,0.0016048987,0.00019769614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044513727,0.00081410556,0.002067361,0.008587905,0.00042479814,0.0029296307,0.0021116985,0.0015604404,0.013659521],"category_scores_gemma":[0.012318166,0.0006597325,0.0014817154,0.0070906286,0.0008376285,0.004150796,0.0012598598,0.0017221745,0.0035812468],"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":[0.00013358153,0.000037033882,0.00034173427,0.05114075,0.00020725238,0.000091853995,0.00009113049,0.00013482517,0.00034588296,0.002404166,0.019625781,0.925446],"study_design_scores_gemma":[0.0000997226,0.00014233419,0.003061561,0.07939236,0.0014742059,0.001415467,0.00029764115,0.00013393215,0.00055447564,0.0021919273,0.9111735,0.00006279722],"about_ca_topic_score_codex":0.0024455914,"about_ca_topic_score_gemma":0.0057685813,"teacher_disagreement_score":0.013659521,"about_ca_system_score_codex":0.0013356475,"about_ca_system_score_gemma":0.0039089336,"threshold_uncertainty_score":0.045695603},"labels":[],"label_agreement":null},{"id":"W4387032913","doi":"10.1259/bjr.20230122","title":"Should we share breast density information during breast cancer screening in the United Kingdom? an integrative review","year":2023,"lang":"en","type":"review","venue":"British Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Medicine; Mammography; Family medicine; Socioeconomic status; Ethnic group; Breast cancer screening; Systematic review; Cochrane Library; MEDLINE; Randomized controlled trial; Gynecology; Cancer; Population; Environmental health; Pathology; Internal medicine","score_opus":0.07755397942388706,"score_gpt":0.3628925358280706,"score_spread":0.2853385564041835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387032913","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004937728,0.9984213,0.000026658443,0.00060263084,0.00014123863,0.00004973613,0.000031440002,0.0000023268487,0.0002308999],"genre_scores_gemma":[0.0102624465,0.9879738,0.00031016645,0.0010481334,0.00010020047,0.00016260575,0.0000449301,0.0000025796892,0.00009513281],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99084294,0.004654346,0.0024239619,0.000469158,0.001286469,0.0003231519],"domain_scores_gemma":[0.9695793,0.0211831,0.005121128,0.00036027806,0.0031252387,0.0006309572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009050819,0.0010587136,0.0045133797,0.008041544,0.0008946387,0.0051221056,0.001815604,0.0032930716,0.0050543337],"category_scores_gemma":[0.048035134,0.00092587655,0.0036816667,0.0070381863,0.0011765267,0.0050410787,0.0027134172,0.0017701606,0.00045495795],"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":[0.000264589,0.00004856232,0.00082757784,0.86056423,0.0022735905,0.00016206209,0.0014507229,0.00007058078,0.000115354705,0.0007495655,0.0043351436,0.12913793],"study_design_scores_gemma":[0.00016392092,0.00018448711,0.0038240675,0.95269096,0.008609709,0.000417439,0.0017434628,0.00004742071,0.00005678716,0.00029370838,0.0319312,0.000036751433],"about_ca_topic_score_codex":0.018827267,"about_ca_topic_score_gemma":0.042139057,"teacher_disagreement_score":0.018827267,"about_ca_system_score_codex":0.007089,"about_ca_system_score_gemma":0.01659692,"threshold_uncertainty_score":0.051434577},"labels":[],"label_agreement":null},{"id":"W4387581621","doi":"10.1002/mp.16772","title":"Audit of data from examination image headers collected for quality assurance in the ECOG‐ACRIN EA1151 tomosynthesis mammographic imaging screening trial (TMIST)","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast 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":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; ECOG-ACRIN Cancer Research Group; National Institutes of Health; American College of Radiology Imaging Network","keywords":"Tomosynthesis; Quality assurance; DICOM; Mammography; Image quality; Medical physics; Breast imaging; Imaging phantom; Digital mammography; Computer science; Medical imaging; Data quality; Medicine; Nuclear medicine; Radiology; Artificial intelligence; Breast cancer; Cancer","score_opus":0.08528158217417142,"score_gpt":0.3574301673593759,"score_spread":0.27214858518520446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387581621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95821667,0.001601856,0.019909339,0.00037712662,0.00008600216,0.008353339,0.006722442,0.00093003997,0.003803238],"genre_scores_gemma":[0.97300375,0.00031500164,0.013421809,0.00033643856,0.00007349436,0.0044276197,0.007297461,0.00017108954,0.00095338124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.94988173,0.029125007,0.007086207,0.002784424,0.010442213,0.0006803978],"domain_scores_gemma":[0.78693646,0.08156227,0.06544599,0.035834365,0.028741423,0.0014794925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.054971762,0.00052211684,0.0010115288,0.001905684,0.0005727581,0.001341818,0.00071961974,0.0006045849,0.0010772101],"category_scores_gemma":[0.09899116,0.0006616193,0.0005308727,0.0019407887,0.00075619895,0.00067953096,0.0008528409,0.0007470104,0.00044466896],"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":[0.08123579,0.0026238137,0.6335574,0.0016432652,0.0010085525,0.00058712997,0.0019832172,0.0025422887,0.013606224,0.00061721785,0.009307903,0.25128722],"study_design_scores_gemma":[0.0034378052,0.011258221,0.939093,0.00032147815,0.00075994193,0.0008434331,0.00018191479,0.006700685,0.024493007,0.00031001636,0.012485328,0.00011524038],"about_ca_topic_score_codex":0.00078924635,"about_ca_topic_score_gemma":0.0012233725,"teacher_disagreement_score":0.054971762,"about_ca_system_score_codex":0.00108339,"about_ca_system_score_gemma":0.0018581669,"threshold_uncertainty_score":0.29072195},"labels":[],"label_agreement":null},{"id":"W4387597973","doi":"10.1002/mp.16786","title":"Quality control for digital tomosynthesis in the ECOG‐ACRIN EA1151 TMIST trial","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; ECOG-ACRIN Cancer Research Group; National Institutes of Health; American College of Radiology Imaging Network","keywords":"Tomosynthesis; Medical physics; Mammography; Digital mammography; Computer science; Image quality; Breast imaging; Quality assurance; Medicine; Breast cancer; Artificial intelligence; Cancer; Pathology","score_opus":0.0367214464002751,"score_gpt":0.3305829637453457,"score_spread":0.2938615173450706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387597973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94589806,0.03323273,0.005193677,0.0037295835,0.0005607406,0.0021676498,0.0009978688,0.00034603765,0.00787367],"genre_scores_gemma":[0.9925327,0.0015369997,0.0018575063,0.0011602503,0.0002935842,0.0011807142,0.00056728,0.000026666024,0.0008443311],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9945365,0.004370707,0.00021350474,0.00034148592,0.00037330767,0.00016442858],"domain_scores_gemma":[0.99516016,0.0023913174,0.0015690563,0.00040952186,0.000204656,0.00026527984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007376732,0.0004775301,0.0009237468,0.00033301357,0.00019192074,0.001036145,0.0006729821,0.0012291594,0.0037458243],"category_scores_gemma":[0.010888828,0.00017467835,0.0012441534,0.00051410054,0.0006775196,0.0005954547,0.00031873622,0.0013100242,0.00026294484],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.90519863,0.0013886131,0.004013057,0.0015520126,0.001818908,0.000057212565,0.00005862772,0.0016465634,0.0012123751,0.0010294261,0.002840586,0.07918398],"study_design_scores_gemma":[0.87945193,0.071947135,0.029800879,0.00069216604,0.0034343253,0.00018964987,0.000060170703,0.004062687,0.0019303882,0.0020271903,0.006358897,0.00004468335],"about_ca_topic_score_codex":0.0004931638,"about_ca_topic_score_gemma":0.00068476005,"teacher_disagreement_score":0.007376732,"about_ca_system_score_codex":0.0008484962,"about_ca_system_score_gemma":0.0008234151,"threshold_uncertainty_score":0.039012372},"labels":[],"label_agreement":null},{"id":"W4388673170","doi":"10.46747/cfp.6911752","title":"Notification de la densité mammaire","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Gynecology; Medicine","score_opus":0.01193747137673574,"score_gpt":0.24087404160357123,"score_spread":0.2289365702268355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388673170","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30800185,0.021763932,0.029326342,0.22660096,0.006727398,0.0019136294,0.03065877,0.0036368058,0.37137032],"genre_scores_gemma":[0.80077285,0.018574394,0.02514961,0.020963296,0.0014857656,0.00042819924,0.008757473,0.00016554493,0.12370298],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981806,0.00038581272,0.00013019523,0.000121758465,0.000948706,0.00023287718],"domain_scores_gemma":[0.9907294,0.0013470929,0.0005403771,0.0002726966,0.0064765844,0.0006339218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024589836,0.00023469861,0.00028654168,0.00136284,0.0010781711,0.00074055046,0.00085115834,0.0009560867,0.009555152],"category_scores_gemma":[0.0098804245,0.00019516918,0.00027126505,0.0010807146,0.00036464844,0.00034047023,0.00044296822,0.0010604312,0.0010753522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003150623,0.00018611398,0.304076,0.0011693191,0.000077969176,0.001280028,0.002417871,0.0011768214,0.007554049,0.004777624,0.3624684,0.31450078],"study_design_scores_gemma":[0.000054303542,0.00017122742,0.56654096,0.0009757078,0.00005110217,0.0010723296,0.001930906,0.0016785979,0.0028371965,0.00092502544,0.42364642,0.00011625572],"about_ca_topic_score_codex":0.7946648,"about_ca_topic_score_gemma":0.7817651,"teacher_disagreement_score":0.7946648,"about_ca_system_score_codex":0.00723749,"about_ca_system_score_gemma":0.013225866,"threshold_uncertainty_score":0.41308886},"labels":[],"label_agreement":null},{"id":"W4388673186","doi":"10.46747/cfp.6911748","title":"Breast density notification","year":2023,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Breast density; Breast cancer; Medicine; Gynecology; Family medicine; Computer science; Mammography; Cancer; Internal medicine","score_opus":0.01660083955893357,"score_gpt":0.22915074812808944,"score_spread":0.21254990856915587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388673186","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11527281,0.004879186,0.0154621415,0.034528136,0.004511754,0.009759986,0.14600807,0.0044940314,0.6650838],"genre_scores_gemma":[0.50517184,0.011602319,0.021132052,0.021229051,0.0015693334,0.0040828674,0.09832915,0.00054119184,0.33634222],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981558,0.00024048174,0.00015519325,0.00021277704,0.00078589714,0.00044986344],"domain_scores_gemma":[0.9946155,0.00046487423,0.00039205328,0.00030650597,0.0032408622,0.0009801318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016871643,0.0004410233,0.0004209679,0.0023701277,0.0016565527,0.000820668,0.0015652693,0.0008201649,0.034231335],"category_scores_gemma":[0.008603875,0.0003002171,0.00044077012,0.0016343769,0.00023621845,0.00036386488,0.0011163816,0.0011521775,0.0069967383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027131406,0.00035591764,0.11416356,0.00062915747,0.0000412531,0.00084040797,0.0006503593,0.00063571776,0.00087855634,0.0023639507,0.6566096,0.22256012],"study_design_scores_gemma":[0.00014215437,0.00021854897,0.32618037,0.0011412195,0.00006998087,0.00125315,0.0009987049,0.001858251,0.0016050581,0.0012232071,0.6652192,0.00009021132],"about_ca_topic_score_codex":0.62830395,"about_ca_topic_score_gemma":0.5907326,"teacher_disagreement_score":0.62830395,"about_ca_system_score_codex":0.005764549,"about_ca_system_score_gemma":0.014608537,"threshold_uncertainty_score":0.7477701},"labels":[],"label_agreement":null},{"id":"W4388688272","doi":"10.1002/mp.16837","title":"Monte‐Carlo study of contrast‐enhanced spectral mammography with cadmium telluride photon‐counting x‐ray detectors","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Detective quantum efficiency; Detector; Monte Carlo method; Cadmium telluride photovoltaics; Mammography; Noise (video); Optics; Photon; Materials science; Physics; Optoelectronics; Medical physics; Image quality; Computer science; Medicine; Breast cancer; Mathematics; Artificial intelligence; Cancer","score_opus":0.009015991641488497,"score_gpt":0.24451511799638193,"score_spread":0.23549912635489342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388688272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.830059,0.00055453926,0.16060613,0.0004198552,0.000028911134,0.00012704048,0.00018660941,0.00045705686,0.0075608464],"genre_scores_gemma":[0.9842343,0.00006362642,0.014428875,0.000045413424,0.0000047637836,0.00005489949,0.000077440185,0.000049030434,0.0010416195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959,0.00015889076,0.000015598964,0.000043999506,0.00012510693,0.00006645179],"domain_scores_gemma":[0.99320155,0.00538973,0.00042448446,0.00016162414,0.0006795784,0.00014300829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015399393,0.00043431923,0.0006197663,0.0005444153,0.0005112803,0.0007134247,0.0009794356,0.0010332941,0.0012632175],"category_scores_gemma":[0.0051279967,0.0006929111,0.00054568454,0.00046855002,0.00062215433,0.0004534973,0.0002942485,0.00048488585,0.00012959931],"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":[0.00006819571,0.000019414007,0.00134614,0.00001708351,0.000016419295,0.00003921281,0.000014566498,0.9955869,0.00097050786,0.0012065571,0.0000540507,0.00066090043],"study_design_scores_gemma":[0.000006115633,0.000008085656,0.00023203716,0.0000027111237,0.0000041685153,0.000006208511,0.000002423588,0.9991786,0.00042609495,0.00009571843,0.000034573648,0.0000032537237],"about_ca_topic_score_codex":0.019846156,"about_ca_topic_score_gemma":0.00894924,"teacher_disagreement_score":0.019846156,"about_ca_system_score_codex":0.0022180756,"about_ca_system_score_gemma":0.0013209028,"threshold_uncertainty_score":0.039461255},"labels":[],"label_agreement":null},{"id":"W4390228887","doi":"10.1002/mp.16912","title":"Multiscale Monte Carlo simulations for dosimetry in x‐ray breast imaging: Part II ‐ Microscopic scales","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Estadual de Campinas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Voxel; Monte Carlo method; Mammography; Imaging phantom; Breast cancer; Physics; Nuclear medicine; Digital mammography; Medicine; Radiology; Statistics; Mathematics; Cancer; Internal medicine","score_opus":0.014475823143071153,"score_gpt":0.29522341700738747,"score_spread":0.2807475938643163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390228887","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23063757,0.0019086251,0.7472645,0.001013707,0.00019102202,0.00018631319,0.00074337027,0.0010062021,0.017048717],"genre_scores_gemma":[0.88765126,0.00091786153,0.10539427,0.00020459332,0.000069051726,0.0003916108,0.00038811978,0.00040860384,0.004574556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998276,0.000058365484,0.000008950739,0.000022800301,0.000057515877,0.00002469032],"domain_scores_gemma":[0.9993574,0.00038772353,0.00007118331,0.000062817795,0.000077611505,0.0000432863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043007307,0.00038169106,0.0005745476,0.00044204883,0.0003481534,0.00071874965,0.00071417977,0.0010547132,0.0023945041],"category_scores_gemma":[0.0018539935,0.00041416567,0.00082936435,0.0004944962,0.00063656905,0.00045331143,0.00063356454,0.0005757375,0.00024883647],"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":[0.000010479654,0.000010889948,0.0004941748,0.00002689844,0.000015427337,0.000032034786,0.000020589869,0.99013186,0.001555771,0.00595096,0.00018942905,0.0015616374],"study_design_scores_gemma":[0.0000029996652,0.0000030159608,0.00017114202,0.0000033162887,0.000002170979,0.000005939156,0.0000022427303,0.9982389,0.00019899754,0.0011005247,0.00026765282,0.0000031190214],"about_ca_topic_score_codex":0.010052772,"about_ca_topic_score_gemma":0.0043901973,"teacher_disagreement_score":0.010052772,"about_ca_system_score_codex":0.0009874395,"about_ca_system_score_gemma":0.0007026059,"threshold_uncertainty_score":0.019988537},"labels":[],"label_agreement":null},{"id":"W4390405085","doi":"10.1002/mp.16910","title":"Multiscale Monte Carlo simulations for dosimetry in x‐ray breast imaging: Part I ‐ Macroscopic scales","year":2023,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Estadual de Campinas; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Government of Canada","keywords":"Mammography; Dosimetry; Digital mammography; Breast imaging; Breast cancer; Nuclear medicine; Voxel; Breast MRI; Monte Carlo method; Medical imaging; Medicine; Medical physics; Radiology; Mathematics; Cancer; Statistics; Internal medicine","score_opus":0.01569853421285202,"score_gpt":0.30277626502776284,"score_spread":0.28707773081491084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390405085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20422764,0.0019139963,0.77428573,0.00090604904,0.0001717346,0.00025439763,0.0009506285,0.0012679962,0.016021833],"genre_scores_gemma":[0.82584393,0.0010689828,0.16813254,0.00021989214,0.000065925,0.0005265254,0.00058265147,0.0005023167,0.0030572328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997416,0.00009419571,0.000013915098,0.000028696306,0.00009415969,0.000027349088],"domain_scores_gemma":[0.9987165,0.00087291916,0.00011894722,0.00009094586,0.00014742216,0.000053293013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006097101,0.00047704784,0.00065110467,0.00058797095,0.00041864222,0.0007479374,0.000787517,0.0012285659,0.0025682282],"category_scores_gemma":[0.0028900937,0.0004944368,0.0009467626,0.00064000644,0.00055937754,0.0004283448,0.00060411345,0.0006697505,0.00028668102],"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":[0.00001495758,0.000013452973,0.0005757193,0.000038799673,0.000017456407,0.000033546727,0.000023546952,0.9927614,0.0012434743,0.002995133,0.00020713327,0.0020754337],"study_design_scores_gemma":[0.0000034828254,0.0000035369903,0.00014509898,0.0000048848465,0.0000025554777,0.0000068780637,0.0000024155631,0.99868137,0.00022539608,0.0006385147,0.00028246883,0.0000033231672],"about_ca_topic_score_codex":0.0115294205,"about_ca_topic_score_gemma":0.0056718923,"teacher_disagreement_score":0.0115294205,"about_ca_system_score_codex":0.0009727223,"about_ca_system_score_gemma":0.00082111865,"threshold_uncertainty_score":0.022924602},"labels":[],"label_agreement":null},{"id":"W4391908605","doi":"10.1117/12.3009196","title":"Enhancing temporal performance of a-Se detectors using a low-temperature hole-blocking bilayer design","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"University of Waterloo","funders":"","keywords":"Bilayer; Materials science; Detector; Optoelectronics; Amorphous solid; Dark current; Optics; Photodetector; Physics; Chemistry","score_opus":0.02343724948718258,"score_gpt":0.2703465880649363,"score_spread":0.2469093385777537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391908605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750703,0.0011781473,0.020913811,0.00014661468,0.00010736742,0.00004678995,0.00033231947,0.0004102447,0.0017943318],"genre_scores_gemma":[0.966276,0.0007559065,0.030738061,0.00007612792,0.000027986942,0.000050917697,0.00020063005,0.000064924556,0.0018093403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998184,0.000014769388,0.000013953561,0.000056672274,0.00006444332,0.00003175094],"domain_scores_gemma":[0.999637,0.000041909952,0.00008933893,0.000035525358,0.00015096355,0.00004513449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020897036,0.00045108638,0.0003000085,0.00047131183,0.00023467488,0.0005965107,0.0006778738,0.0005729202,0.00079295645],"category_scores_gemma":[0.00042075146,0.0002967301,0.00023609327,0.0002967901,0.00018575777,0.00057565543,0.00036208212,0.00042999108,0.0006426255],"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":[0.000050491195,0.000015423002,0.00016145705,0.000023369066,0.0000045947268,0.000029503284,0.000010707376,0.000102884704,0.9983748,0.00007439021,0.00004125627,0.0011111251],"study_design_scores_gemma":[0.000015880209,0.0002711586,0.0009892432,0.000009138058,0.000023787738,0.00017190649,0.000023175415,0.005508236,0.99136776,0.000039517527,0.0015640788,0.000016208805],"about_ca_topic_score_codex":0.000983026,"about_ca_topic_score_gemma":0.0010704803,"teacher_disagreement_score":0.000983026,"about_ca_system_score_codex":0.00039832733,"about_ca_system_score_gemma":0.00027553827,"threshold_uncertainty_score":0.0028900504},"labels":[],"label_agreement":null},{"id":"W4392911941","doi":"10.1007/s10549-024-07269-y","title":"The distribution of breast density in women aged 18 years and older","year":2024,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"University of Western Australia; Cancer Australia; National Breast Cancer Foundation; Australian Government","keywords":"Breast cancer; Body mass index; Medicine; Mammography; Breast density; Breast imaging; Demography; MAMMOGRAPHIC DENSITY; Gynecology; Obstetrics; Internal medicine; Cancer","score_opus":0.02432985901848697,"score_gpt":0.33759799427778664,"score_spread":0.31326813525929964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392911941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900514,0.00024783262,0.0000843483,0.0000366133,0.0000021845237,0.000007873783,0.00022985188,0.0000024445912,0.00038378456],"genre_scores_gemma":[0.99917585,0.0002849912,0.00012214632,0.000023580533,0.000005042682,0.000010395446,0.00018149297,9.016612e-7,0.00019570933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977416,0.00005693298,0.000027920063,0.00004133691,0.000066385226,0.000033342218],"domain_scores_gemma":[0.99919945,0.00013277166,0.00041749343,0.000049618913,0.00013431406,0.000066372755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048036771,0.00014020712,0.00019242849,0.0010406089,0.00027005502,0.00030536085,0.00027704795,0.00024914104,0.0010276493],"category_scores_gemma":[0.0016668648,0.00018757982,0.00015839514,0.0009717192,0.00036708981,0.00039920607,0.00040298683,0.00023488644,0.0002382628],"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":[0.000017442448,0.000010669393,0.9967811,0.000011747274,0.000015173712,0.000048021226,0.00038073602,0.000014837572,0.00014821175,0.000013524253,0.00006104879,0.0024974102],"study_design_scores_gemma":[5.818402e-7,0.000020661684,0.99938226,0.0000058717956,0.000004833896,0.00016731585,0.00023311327,0.000041739142,0.000025628806,0.000012005647,0.00010484537,0.0000010872477],"about_ca_topic_score_codex":0.020662757,"about_ca_topic_score_gemma":0.017847108,"teacher_disagreement_score":0.020662757,"about_ca_system_score_codex":0.00029693276,"about_ca_system_score_gemma":0.00018522893,"threshold_uncertainty_score":0.041084945},"labels":[],"label_agreement":null},{"id":"W4393176831","doi":"10.1097/hp.0000000000001794","title":"Optimizing the Positioning of Detectors for Improved Counting Efficiencies Using Monte Carlo Simulations","year":2024,"lang":"en","type":"article","venue":"Health Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Detector; Imaging phantom; Counting efficiency; Computer science; Energy (signal processing); Whole body counting; Physics; Nuclear engineering; Simulation; Medical physics; Optics; Nuclear physics; Engineering; Mathematics; Statistics; Radionuclide","score_opus":0.037075279946788726,"score_gpt":0.34308501131774183,"score_spread":0.3060097313709531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393176831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3683358,0.0006583677,0.6158425,0.00042917905,0.00009466653,0.00023925416,0.0003844682,0.002568342,0.011447422],"genre_scores_gemma":[0.8100085,0.00015471042,0.18799618,0.000073308496,0.0000073728997,0.00015280508,0.00019093606,0.00028552907,0.0011306268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994949,0.00016065234,0.00003093262,0.00007642708,0.00016564106,0.00007139471],"domain_scores_gemma":[0.9985121,0.00078416377,0.00014634713,0.00014757049,0.00037467503,0.00003522115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014168094,0.0011333806,0.0007769424,0.0006311863,0.00042422893,0.0010632632,0.0012329861,0.0010325566,0.0016796483],"category_scores_gemma":[0.0037578908,0.0008538646,0.00052190985,0.0006788815,0.00035895797,0.00089798175,0.00043121408,0.00066763733,0.0006034873],"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":[0.00008443625,0.000052748932,0.0014261329,0.00006456903,0.000023233239,0.000040484996,0.000044652144,0.9824322,0.007885515,0.0009223617,0.00028098724,0.0067427326],"study_design_scores_gemma":[0.000049046364,0.00006292737,0.00052726496,0.000013618905,0.000034210476,0.000024405746,0.00001689481,0.9785081,0.019015783,0.00041937822,0.0013042107,0.000024213488],"about_ca_topic_score_codex":0.0075126463,"about_ca_topic_score_gemma":0.008519491,"teacher_disagreement_score":0.0075126463,"about_ca_system_score_codex":0.0021979336,"about_ca_system_score_gemma":0.0017790691,"threshold_uncertainty_score":0.015947223},"labels":[],"label_agreement":null},{"id":"W4393191703","doi":"10.1186/s13058-024-01764-2","title":"Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease","year":2024,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; U.S. Department of Health and Human Services; National Cancer Institute; Health Research Board; Breast Cancer Research Foundation; American Association for Cancer Research","keywords":"Medicine; Breast cancer; Breast disease; Odds ratio; Confidence interval; Case-control study; Surgical oncology; Oncology; Atypia; Cancer; Internal medicine; Obstetrics; Mammography; Logistic regression; Gynecology; Pathology","score_opus":0.016270499253864035,"score_gpt":0.30981791546876325,"score_spread":0.2935474162148992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393191703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884003,0.00036277532,0.000059246668,0.00004478204,0.0000033072818,0.0000043030605,0.00039181884,0.0000022029376,0.000291624],"genre_scores_gemma":[0.99947745,0.00011455675,0.00006025702,0.000009839372,0.0000044651556,0.0000035786134,0.00024743952,6.2894577e-7,0.000082014674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999744,0.000059963775,0.00002644055,0.00007139622,0.00006082199,0.0000373438],"domain_scores_gemma":[0.99898726,0.0001594125,0.0006027623,0.00005850192,0.00009459077,0.00009749692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922281,0.000106792,0.00011577772,0.00040550187,0.0002286937,0.00036583756,0.00027800578,0.00019837194,0.0010923222],"category_scores_gemma":[0.0023364828,0.00018184587,0.00017760808,0.0006619485,0.00019551672,0.0002553738,0.0002879364,0.00021308921,0.00009813364],"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":[0.00004361135,0.000007997893,0.99937326,0.000003939133,0.000013526876,0.000019450335,0.000026427919,0.0000111554955,0.000055541375,0.0000058766614,0.00002278101,0.00041641973],"study_design_scores_gemma":[0.0000021659023,0.000020234931,0.9996069,0.000003237802,0.000011236773,0.00012736837,0.000054543165,0.000060651186,0.000027739974,0.000009691408,0.00007532198,8.9365807e-7],"about_ca_topic_score_codex":0.0211802,"about_ca_topic_score_gemma":0.020100033,"teacher_disagreement_score":0.0211802,"about_ca_system_score_codex":0.0003337608,"about_ca_system_score_gemma":0.00029703975,"threshold_uncertainty_score":0.04211384},"labels":[],"label_agreement":null},{"id":"W4393472961","doi":"10.5281/zenodo.3692085","title":"UBC2019 - A dataset of subjective image quality of head-mounted displays","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of British Columbia","funders":"","keywords":"Head (geology); Computer science; Quality (philosophy); Computer graphics (images); Computer vision; Artificial intelligence; Image quality; Image (mathematics); Geology; Physics","score_opus":0.05067111379549588,"score_gpt":0.3753138072550797,"score_spread":0.3246426934595838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393472961","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014069512,0.0005177365,0.00047038213,0.00007371387,0.000077848235,0.00008403389,0.9932313,0.00216002,0.0019780272],"genre_scores_gemma":[0.0014527796,0.00010583959,0.0007195894,0.000029590836,0.000008461689,0.00009396436,0.9967975,0.00008695058,0.00070537085],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9978327,0.00030093623,0.0002724427,0.00037852506,0.0009576986,0.00025781197],"domain_scores_gemma":[0.9962198,0.0008635926,0.00021775358,0.00080494146,0.0016471826,0.00024663753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012487879,0.0035239207,0.0018264549,0.0039990735,0.0008335591,0.0018064041,0.0029637362,0.0023908995,0.03294536],"category_scores_gemma":[0.006460042,0.0004351906,0.0017940123,0.004476945,0.00037255333,0.001162039,0.0020511681,0.0013319422,0.048520893],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031247572,0.00013869572,0.0016858805,0.0016685307,0.00009133308,0.00007235025,0.000025690502,0.0015972117,0.00060936384,0.00026814168,0.97015274,0.02337761],"study_design_scores_gemma":[0.00057726825,0.0002377482,0.042537317,0.0011748502,0.00016653023,0.0005866145,0.00023823479,0.014857642,0.004483358,0.0024479257,0.93246436,0.000228235],"about_ca_topic_score_codex":0.04423824,"about_ca_topic_score_gemma":0.08267495,"teacher_disagreement_score":0.04423824,"about_ca_system_score_codex":0.002049971,"about_ca_system_score_gemma":0.0017139169,"threshold_uncertainty_score":0.11021322},"labels":[],"label_agreement":null},{"id":"W4394061001","doi":"10.1016/j.acra.2024.03.038","title":"Artificial Intelligence and Breast US: Radiologists Won’t Regret Opening Pandora’s Box","year":2024,"lang":"en","type":"letter","venue":"Academic Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Mammography; Regret; Breast ultrasound; Medicine; Breast imaging; Screening mammography; Breast screening; Ultrasound; Radiology; Breast cancer; Medical physics; Computer science; Internal medicine; Machine learning; Cancer","score_opus":0.03954114696352899,"score_gpt":0.3028208135522588,"score_spread":0.2632796665887298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394061001","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008242613,0.00066050066,0.000030387519,0.99208766,0.005939106,0.0000018482244,0.0000055291093,0.0000054499646,0.0011871695],"genre_scores_gemma":[0.0023529574,0.0010080258,0.00016395152,0.9572691,0.031788614,0.000011320933,0.000007920065,0.000012352229,0.0073858057],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99485,0.0014419173,0.00056068186,0.00075228274,0.0014903212,0.0009048622],"domain_scores_gemma":[0.97513777,0.013661281,0.001340434,0.00080203643,0.0035209379,0.005537491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048674056,0.0008040442,0.0012282325,0.00087219715,0.007252464,0.007764286,0.0017842199,0.10699614,0.012230659],"category_scores_gemma":[0.04788946,0.00086153543,0.0012889581,0.0008121015,0.007616595,0.0061948095,0.0030249977,0.07399928,0.0074974373],"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":[0.000025464173,0.000020793681,0.0004179124,0.000025765565,0.000015395319,0.00083070045,0.000093356175,0.000030371477,0.00007477794,0.0037137354,0.9890177,0.005733974],"study_design_scores_gemma":[0.00008989552,0.00004772685,0.0010308082,0.00035729402,0.000032963842,0.0028239577,0.00055152725,0.00038620853,0.00013347836,0.025906451,0.9685658,0.0000738038],"about_ca_topic_score_codex":0.00941749,"about_ca_topic_score_gemma":0.016433025,"teacher_disagreement_score":0.10699614,"about_ca_system_score_codex":0.0049864366,"about_ca_system_score_gemma":0.007941517,"threshold_uncertainty_score":0.040915668},"labels":[],"label_agreement":null},{"id":"W4395079708","doi":"10.1007/s10549-024-07306-w","title":"Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization","year":2024,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia; University of Toronto; University Health Network; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; BC Cancer Agency","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Cancer Institute","keywords":"Mendelian randomization; Sex hormone-binding globulin; Body mass index; Internal medicine; Breast cancer; Endocrinology; Hormone; Testosterone (patch); Phenotype; Medicine; Oncology; Biology; Cancer; Genetics; Androgen; Genotype; Gene","score_opus":0.05773142106971615,"score_gpt":0.34818569564940993,"score_spread":0.2904542745796938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395079708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6907911,0.0014666483,0.29639798,0.0011401079,0.0007177084,0.001997975,0.0019918946,0.001361268,0.0041353707],"genre_scores_gemma":[0.88440734,0.00038773482,0.10774609,0.0006492376,0.00016954879,0.0020222717,0.000538856,0.00026527472,0.003813684],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9004258,0.078542314,0.00389854,0.009785486,0.005076263,0.0022715922],"domain_scores_gemma":[0.94249725,0.04008306,0.0037884505,0.012085138,0.00094777223,0.0005982993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.042747565,0.0027189353,0.0036771302,0.0035745965,0.0012921853,0.0021798043,0.0033609888,0.0035867097,0.009590629],"category_scores_gemma":[0.06459925,0.0014999991,0.00395745,0.003047374,0.0019969218,0.0020570739,0.0015314084,0.0017375959,0.00065787055],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.21869814,0.005060182,0.21700075,0.002963491,0.06727769,0.01956817,0.0055198823,0.020806741,0.05821774,0.19788398,0.008356137,0.17864716],"study_design_scores_gemma":[0.069900945,0.0277754,0.17895985,0.0007334398,0.049794476,0.020779733,0.0013477047,0.42128515,0.029754143,0.17389637,0.024868127,0.0009046828],"about_ca_topic_score_codex":0.0037571355,"about_ca_topic_score_gemma":0.0025697765,"teacher_disagreement_score":0.042747565,"about_ca_system_score_codex":0.0010020966,"about_ca_system_score_gemma":0.0016947541,"threshold_uncertainty_score":0.22607344},"labels":[],"label_agreement":null},{"id":"W4395090967","doi":"10.1117/12.3001133","title":"Low-cost X-ray quality assurance system based on optical sensors and phosphor screen","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Western University; Robarts Clinical Trials","funders":"","keywords":"Phosphor; Quality assurance; Computer science; Optoelectronics; Materials science; Engineering","score_opus":0.014091165810113115,"score_gpt":0.28032654667610657,"score_spread":0.26623538086599347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395090967","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54912597,0.0036060496,0.4114765,0.0006662822,0.00049370615,0.001011973,0.0013001998,0.020080311,0.012238957],"genre_scores_gemma":[0.7156238,0.00077449164,0.27247065,0.00043228397,0.00010668824,0.00029443382,0.0008771065,0.00026113543,0.009159363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981173,0.00017894137,0.000110117115,0.00039635773,0.0011068045,0.00009058635],"domain_scores_gemma":[0.9989895,0.00018276549,0.00022584503,0.00019042613,0.00033268947,0.0000787527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007206316,0.00054945744,0.0007682581,0.001201715,0.00033149347,0.0009289401,0.0021150068,0.0009192965,0.0052713435],"category_scores_gemma":[0.001300317,0.00047420312,0.00051412283,0.00088317925,0.00030619782,0.00089862366,0.0006681631,0.00040781155,0.0019149055],"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":[0.0006641025,0.00025421998,0.006957903,0.00070866547,0.0000717915,0.000437202,0.00014502405,0.0010615212,0.8854161,0.0012610169,0.003523611,0.09949891],"study_design_scores_gemma":[0.0001838294,0.0024273535,0.02411301,0.00008217181,0.00028354969,0.003941641,0.00009991944,0.03208837,0.90983427,0.00020873573,0.026569147,0.00016809377],"about_ca_topic_score_codex":0.0009057956,"about_ca_topic_score_gemma":0.0008084171,"teacher_disagreement_score":0.0052713435,"about_ca_system_score_codex":0.0005997624,"about_ca_system_score_gemma":0.0005864294,"threshold_uncertainty_score":0.017634392},"labels":[],"label_agreement":null},{"id":"W4396651865","doi":"10.47011/17.1.3","title":"Geant4 Simulation of Scatter Radiation Removal: Comparison and Validation of Anti-scatter Grid and Air Gap for X-ray Mammography","year":2024,"lang":"en","type":"article","venue":"Jordan Journal of Physics","topic":"Digital Radiography and Breast Imaging","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":"American Water (Canada)","funders":"","keywords":"Magnification; Radiation; Optics; Grid; Mammography; Image resolution; Resolution (logic); Materials science; Physics; Computer science; Mathematics; Breast cancer; Medicine; Artificial intelligence; Cancer; Geometry","score_opus":0.02187643307454486,"score_gpt":0.3033741892526209,"score_spread":0.28149775617807604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396651865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79370207,0.0021528595,0.1528044,0.0010011244,0.00032081796,0.00028553588,0.002821365,0.0028088382,0.044102926],"genre_scores_gemma":[0.9254427,0.00091169233,0.06527351,0.00016509727,0.000021672453,0.0002072876,0.0011284621,0.0005637838,0.006285799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997154,0.00008463428,0.000015143068,0.00001872739,0.00012523391,0.000040868785],"domain_scores_gemma":[0.999198,0.00051237753,0.00006286555,0.000033824337,0.00016179204,0.000031122425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005534722,0.00065839087,0.0005609131,0.00041282683,0.00025772638,0.0006582299,0.0010652381,0.0011141994,0.0038842203],"category_scores_gemma":[0.001711243,0.00037668258,0.00076227717,0.0005636087,0.00028902607,0.00036628894,0.00034240537,0.00046135706,0.00041314278],"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":[0.0002790496,0.000103234095,0.0038071712,0.0004616727,0.00004843729,0.00038138943,0.00019109003,0.9637098,0.014415239,0.0028933755,0.002357561,0.011351939],"study_design_scores_gemma":[0.00003340896,0.00009166666,0.0006807944,0.000026067457,0.000014858824,0.000056526293,0.000038716727,0.9896702,0.0068453695,0.0002298216,0.0022996906,0.000012843333],"about_ca_topic_score_codex":0.0070911488,"about_ca_topic_score_gemma":0.004184501,"teacher_disagreement_score":0.0070911488,"about_ca_system_score_codex":0.0004656141,"about_ca_system_score_gemma":0.00071052474,"threshold_uncertainty_score":0.014099717},"labels":[],"label_agreement":null},{"id":"W4396821339","doi":"10.48550/arxiv.2404.19211","title":"Triply efficient shadow tomography","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"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 Institute for Advanced Research","keywords":"Shadow (psychology); Tomography; Computer vision; Computer science; Medicine; Radiology; Psychology; Psychoanalysis","score_opus":0.04072126198607,"score_gpt":0.18769630191382514,"score_spread":0.14697503992775512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396821339","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11465234,0.00029287598,0.84911895,0.00097268383,0.00013159978,0.00023065553,0.0006423869,0.0019110731,0.032047484],"genre_scores_gemma":[0.86508,0.00014606293,0.12486055,0.00026240954,0.000031879972,0.00022408225,0.0004427401,0.00024631142,0.008705927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986998,0.00028707177,0.00005763923,0.00029417672,0.00040169197,0.00025966598],"domain_scores_gemma":[0.9969957,0.0011194255,0.00018948613,0.0013552732,0.00019855912,0.00014158382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010841938,0.0005141253,0.00064668385,0.00036967895,0.000928725,0.0013168242,0.00162981,0.0010018836,0.007486963],"category_scores_gemma":[0.0044131563,0.00034041735,0.0004981765,0.0006147192,0.0026431256,0.0035353925,0.0038630753,0.0018259865,0.0007788642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005625295,0.000106692445,0.00096820266,0.00018449435,0.000044009128,0.00021244668,0.00045682018,0.063942924,0.036847085,0.84768206,0.0053908923,0.043601878],"study_design_scores_gemma":[0.00007451669,0.00016660675,0.0004600007,0.000034381184,0.000029597704,0.00019677804,0.0001892329,0.5745315,0.06736261,0.3465209,0.010371779,0.00006213528],"about_ca_topic_score_codex":0.0011560968,"about_ca_topic_score_gemma":0.0013899476,"teacher_disagreement_score":0.007486963,"about_ca_system_score_codex":0.0016441881,"about_ca_system_score_gemma":0.0012515844,"threshold_uncertainty_score":0.025046408},"labels":[],"label_agreement":null},{"id":"W4399003783","doi":"10.7910/dvn/ryrxk7/retkbo","title":"all_1Dpspec_pacs160_orig.pdf","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Digital Radiography and Breast Imaging","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":"University of Alberta","funders":"","keywords":"Humanities; Philosophy","score_opus":0.016152322617503705,"score_gpt":0.25705851339802765,"score_spread":0.24090619078052394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399003783","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010469207,0.0000746359,0.00008087616,0.00004543435,0.000019146217,0.000009757737,0.9982571,0.0007874418,0.00062082894],"genre_scores_gemma":[0.00040944907,0.00008699307,0.00027623412,0.000039535196,0.000011575185,0.00004565601,0.998161,0.00020341032,0.00076613144],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991804,0.00009061107,0.00010187182,0.00025432894,0.00020001878,0.00017286213],"domain_scores_gemma":[0.9983006,0.0003367465,0.0001872399,0.0004761421,0.0005609402,0.00013835648],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008874358,0.0032792652,0.0017610255,0.0040241005,0.0007832693,0.00313747,0.003216119,0.0022753878,0.15221666],"category_scores_gemma":[0.0044181915,0.0010587908,0.001569032,0.0052047493,0.00053613813,0.0016198162,0.0025161935,0.0016244302,0.22064154],"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":[0.00008546642,0.000017238408,0.0006005351,0.0007387645,0.00004191277,0.000027585807,0.000016300108,0.00016686645,0.00022517703,0.00026417914,0.9944478,0.0033681137],"study_design_scores_gemma":[0.00029043888,0.000024034971,0.005168366,0.00040006288,0.00006926162,0.00017243532,0.00005833843,0.00043653982,0.0010900619,0.0018043799,0.9904359,0.000050143986],"about_ca_topic_score_codex":0.015179352,"about_ca_topic_score_gemma":0.026760818,"teacher_disagreement_score":0.8477833,"about_ca_system_score_codex":0.0013973356,"about_ca_system_score_gemma":0.0020569486,"threshold_uncertainty_score":0.5092155},"labels":[],"label_agreement":null},{"id":"W4399117209","doi":"10.1117/12.3025341","title":"Accurate estimation of density and background parenchymal enhancement in breast MRI using deep regression and transformers","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Health Sciences Centre; Sunnybrook Health Science Centre; Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Segmentation; Breast cancer; Artificial intelligence; Computer science; Correlation; Regression; Ground truth; Regression analysis; Pattern recognition (psychology); Image segmentation; Mammography; Density estimation; Medicine; Statistics; Mathematics; Machine learning; Cancer; Internal medicine","score_opus":0.018450481717918694,"score_gpt":0.2985287048927416,"score_spread":0.2800782231748229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399117209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15704563,0.000449999,0.8388994,0.0002428732,0.000033009575,0.000050743267,0.00023056038,0.0019806786,0.0010671053],"genre_scores_gemma":[0.8968447,0.00035265338,0.09981094,0.00011351349,0.000017615963,0.000059226153,0.00050284,0.00013851521,0.00215999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997638,0.00006433492,0.000014898785,0.000064815016,0.000051496852,0.00004066047],"domain_scores_gemma":[0.9992507,0.00043023055,0.000104601975,0.00006800267,0.00012179535,0.000024659232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009499577,0.0008431363,0.0005139648,0.00064541545,0.00014427018,0.0007484176,0.0007252514,0.0004966063,0.0008944865],"category_scores_gemma":[0.0037680834,0.0004185694,0.00074000156,0.000454853,0.00036933814,0.0009439555,0.00063108373,0.0009404868,0.0004601008],"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":[0.0003312377,0.00012156426,0.010006653,0.000076251934,0.000087020184,0.00015439288,0.000094806346,0.774659,0.019584127,0.0035851833,0.0010904268,0.19020937],"study_design_scores_gemma":[0.000003571622,0.000022572161,0.00072970224,0.0000048302477,0.0000068228196,0.000036872774,0.000007716499,0.9948324,0.003030598,0.0011606795,0.00015784118,0.000006446842],"about_ca_topic_score_codex":0.0068017603,"about_ca_topic_score_gemma":0.0059546945,"teacher_disagreement_score":0.0068017603,"about_ca_system_score_codex":0.00059768534,"about_ca_system_score_gemma":0.0005931301,"threshold_uncertainty_score":0.0135243535},"labels":[],"label_agreement":null},{"id":"W4399117287","doi":"10.1117/12.3026916","title":"Experimental results of the first prototype direct-indirect dual-layer flat-panel detector for contrast-enhanced digital mammography and contrast-enhanced digital breast tomosynthesis","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Analogic (Canada)","funders":"","keywords":"Detector; Flat panel detector; Mammography; Digital mammography; Breast imaging; Nuclear medicine; Residual; Iodinated contrast; Materials science; Optics; Computer science; Medicine; Radiology; Physics; Breast cancer; Computed tomography","score_opus":0.013353005657702331,"score_gpt":0.2414659082066359,"score_spread":0.22811290254893357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399117287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94594383,0.0006465541,0.049797412,0.00017506018,0.00008547568,0.00029721006,0.0006303768,0.0006255744,0.0017986088],"genre_scores_gemma":[0.89858395,0.00031403566,0.0979605,0.00010930743,0.00002576271,0.00019080032,0.00055656454,0.000062351086,0.0021967257],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996153,0.00007846787,0.00002071293,0.00009437775,0.00014712742,0.0000439306],"domain_scores_gemma":[0.99930775,0.00021110437,0.0000514986,0.000112167814,0.00022813138,0.00008942337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007404485,0.0004920953,0.0005593712,0.00032657897,0.00027380232,0.000317192,0.0010149886,0.0009775525,0.0018980887],"category_scores_gemma":[0.0010072049,0.00039917292,0.00029510394,0.0003412329,0.00022725842,0.00035743203,0.00034522722,0.00029577097,0.00038008357],"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":[0.0011214013,0.00036690783,0.0037135568,0.0002936339,0.00006691922,0.00033178972,0.00020263183,0.0021426042,0.9597648,0.0003377843,0.0007015974,0.030956428],"study_design_scores_gemma":[0.00023911109,0.0058031455,0.0211052,0.000023873796,0.00014917651,0.0013939136,0.00010816576,0.022097303,0.9432156,0.00009021157,0.005668967,0.00010523121],"about_ca_topic_score_codex":0.0008879031,"about_ca_topic_score_gemma":0.0010978329,"teacher_disagreement_score":0.0018980887,"about_ca_system_score_codex":0.00035683133,"about_ca_system_score_gemma":0.0002933152,"threshold_uncertainty_score":0.006349683},"labels":[],"label_agreement":null},{"id":"W4400199396","doi":"10.3390/cancers16132418","title":"The Prospective Association between Early Life Growth and Breast Density in Young Adult Women","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University Health Network","funders":"Cancer Australia; National Breast Cancer Foundation","keywords":"Breast cancer; Body mass index; Medicine; Confounding; Prospective cohort study; Cohort study; Breast density; Demography; Young adult; Anthropometry; Internal medicine; Mammography; Cancer","score_opus":0.0039501887093521025,"score_gpt":0.21905428678117614,"score_spread":0.21510409807182404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400199396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885416,0.000366566,0.000117838186,0.00002810677,0.0000036926085,0.0000043939094,0.00029109712,0.0000023003136,0.00033184214],"genre_scores_gemma":[0.9991178,0.00021459362,0.0001405208,0.000012804422,0.000004847087,0.000007011221,0.00023980136,0.0000012000289,0.0002614082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999866,0.000045623387,0.000010833001,0.000022902123,0.000026466027,0.00002811628],"domain_scores_gemma":[0.9993105,0.00016552319,0.00026825973,0.000050713144,0.00009122108,0.00011380159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042039866,0.00014517004,0.00012496838,0.0003702581,0.00015099082,0.00027364574,0.00014235554,0.0001886472,0.0008499305],"category_scores_gemma":[0.0014649245,0.00015176392,0.00016985022,0.0003784899,0.000112085974,0.00017918594,0.00026049223,0.00035364184,0.000108691915],"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":[0.000027427091,0.000012152384,0.9988739,0.0000040544683,0.000012861282,0.000012447026,0.00002353338,0.000012544817,0.00015794706,0.000012040509,0.000027317481,0.0008237133],"study_design_scores_gemma":[0.0000010266245,0.000022510909,0.9997044,0.0000027488888,0.0000058011015,0.000037662852,0.000038299397,0.00005248714,0.00004637552,0.0000075409007,0.000080634425,5.6413734e-7],"about_ca_topic_score_codex":0.005932039,"about_ca_topic_score_gemma":0.011707009,"teacher_disagreement_score":0.005932039,"about_ca_system_score_codex":0.00013816619,"about_ca_system_score_gemma":0.00012238261,"threshold_uncertainty_score":0.011794984},"labels":[],"label_agreement":null},{"id":"W4400443357","doi":"10.3390/curroncol31070291","title":"A Retrospective Analysis of Diagnostic Breast Imaging Outcomes in Young Women at a Tertiary Care Center","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Tertiary care; Medicine; Center (category theory); Retrospective cohort study; Breast imaging; Family medicine; Gynecology; Medical physics; Mammography; Breast cancer; Internal medicine; Cancer","score_opus":0.013166442176069016,"score_gpt":0.33518340929357116,"score_spread":0.32201696711750216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400443357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992798,0.00025303036,0.000044848264,0.000027990003,0.0000032257908,0.0000073082188,0.00019604017,0.000002690734,0.00018515062],"genre_scores_gemma":[0.9995584,0.00009463121,0.000046206562,0.00003299212,0.000008152926,0.000006275818,0.00021994066,0.0000012423732,0.00003220082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937254,0.00013351301,0.0001052273,0.00011893651,0.00012866923,0.00014120693],"domain_scores_gemma":[0.99720484,0.00054473645,0.0014401439,0.000117826734,0.0002721007,0.00042027628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061288197,0.00020954237,0.00036012675,0.0012136174,0.00044065897,0.00053053885,0.0003356204,0.00033751465,0.0009823696],"category_scores_gemma":[0.0026424294,0.00024429685,0.0002445399,0.0014068005,0.00034200592,0.00047409828,0.00057682034,0.0003188295,0.00017162506],"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":[0.000020267265,0.000008436889,0.99942505,0.0000044400304,0.0000063265184,0.00009365494,0.000031040327,0.000006106848,0.00005024925,0.0000036211875,0.000031737476,0.00031911337],"study_design_scores_gemma":[0.0000036532222,0.000066172914,0.9988147,0.0000075662238,0.000011788203,0.00062757375,0.00026539183,0.000057675283,0.00005361781,0.0000064366927,0.00008317202,0.0000021986086],"about_ca_topic_score_codex":0.0060835164,"about_ca_topic_score_gemma":0.0071146786,"teacher_disagreement_score":0.0060835164,"about_ca_system_score_codex":0.000681149,"about_ca_system_score_gemma":0.0007142383,"threshold_uncertainty_score":0.012096226},"labels":[],"label_agreement":null},{"id":"W4402140890","doi":"10.1101/2024.08.31.24312184","title":"Model uncertainty estimates for deep learning mammographic density prediction using ordinal and classification approaches","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Digital Radiography and Breast Imaging","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":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Ordinal data; Artificial intelligence; Ordinal regression; MAMMOGRAPHIC DENSITY; Computer science; Ordinal optimization; Machine learning; Econometrics; Pattern recognition (psychology); Statistics; Data mining; Mammography; Mathematics; Medicine","score_opus":0.09068006128547482,"score_gpt":0.29267968027178226,"score_spread":0.20199961898630744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402140890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2656716,0.0009784455,0.7291659,0.00093652593,0.000049250997,0.000061533865,0.0007672455,0.0009198029,0.001449674],"genre_scores_gemma":[0.9555088,0.00013059544,0.042930584,0.00010207281,0.000023500086,0.00007428122,0.000630698,0.000037122885,0.0005624063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978866,0.00095352065,0.00018252524,0.00035160827,0.0005013567,0.00012435205],"domain_scores_gemma":[0.98321795,0.012589796,0.0017438983,0.0007989438,0.0014460037,0.00020333866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006422416,0.00085032627,0.00075870584,0.0014339472,0.00031420033,0.0013934699,0.0012705922,0.0010605084,0.0013224656],"category_scores_gemma":[0.027664429,0.0004749788,0.0007269983,0.0007718623,0.0009331155,0.001545119,0.0016671465,0.0017389628,0.00025737868],"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":[0.00017719352,0.00006636228,0.013647798,0.000079339465,0.00008799936,0.000058295027,0.000060839975,0.9407835,0.00082390115,0.0030047614,0.0006102596,0.040599808],"study_design_scores_gemma":[0.0000041902417,0.00001928732,0.001340221,0.000014792517,0.0000071411773,0.000015077269,0.000009605152,0.9944976,0.00062276394,0.0033618782,0.00009912307,0.000008281453],"about_ca_topic_score_codex":0.0067252764,"about_ca_topic_score_gemma":0.004145901,"teacher_disagreement_score":0.0067252764,"about_ca_system_score_codex":0.0015877192,"about_ca_system_score_gemma":0.00083875115,"threshold_uncertainty_score":0.03396541},"labels":[],"label_agreement":null},{"id":"W4402195639","doi":"10.3138/cjms.v2i3.33","title":"Maintaining the Schedule of Unit Values for the Medical Imaging Workload Measurement System","year":2011,"lang":"en","type":"article","venue":"The Canadian journal of medical sonography.","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Workload; Schedule; Unit (ring theory); Computer science; Real-time computing; Psychology; Operating system","score_opus":0.04800565003862439,"score_gpt":0.26690815275230895,"score_spread":0.21890250271368455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402195639","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06715498,0.0009944614,0.6543949,0.023410749,0.008563061,0.01570091,0.015447275,0.035276007,0.17905761],"genre_scores_gemma":[0.43210074,0.0009540047,0.47689056,0.003385939,0.0031165257,0.008804794,0.02167682,0.006212601,0.046858028],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.97832435,0.0064141075,0.0021443344,0.0014849835,0.010294311,0.0013378452],"domain_scores_gemma":[0.90423536,0.007630249,0.007332755,0.013757914,0.05879247,0.008251183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025644911,0.0007795647,0.0007117521,0.003633678,0.0027226964,0.004214123,0.002674486,0.00092281954,0.013181548],"category_scores_gemma":[0.0720349,0.00089973316,0.0004018915,0.002950494,0.0007284866,0.0018659738,0.0021963636,0.0023263919,0.016768869],"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":[0.000294559,0.00043484144,0.032459177,0.00015875029,0.000042702904,0.00011199985,0.001289165,0.009601083,0.0062346933,0.012486705,0.44235453,0.49453172],"study_design_scores_gemma":[0.00022920682,0.0007411437,0.08138019,0.00030133195,0.000041663043,0.00022874498,0.0013815832,0.043032803,0.011045217,0.007805066,0.8534895,0.00032358168],"about_ca_topic_score_codex":0.046755783,"about_ca_topic_score_gemma":0.024769878,"teacher_disagreement_score":0.046755783,"about_ca_system_score_codex":0.00624871,"about_ca_system_score_gemma":0.022873752,"threshold_uncertainty_score":0.13562489},"labels":[],"label_agreement":null},{"id":"W4402460232","doi":"10.2196/58608","title":"A Reflective Thematic Analysis Into the Perceptions of Pregnant Radiographers Regarding the Usefulness of the PregiDose Mobile App to Enhance Fetal Dosimetry and Well-Being: Qualitative Exploration","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Tracking (education); Context (archaeology); Medicine; Mobile apps; Medical education; Pregnancy; Qualitative research; Perception; Obstetrics; Medical physics; Psychology; Computer science; World Wide Web; Pedagogy","score_opus":0.03521434057557572,"score_gpt":0.4213201287021201,"score_spread":0.3861057881265444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402460232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97546834,0.0007752259,0.010025904,0.003922127,0.00011107055,0.0017871504,0.0004721329,0.000052739317,0.007385359],"genre_scores_gemma":[0.98321414,0.0013270668,0.0075471774,0.0010844247,0.000031954885,0.0027534869,0.00017934616,0.000062870386,0.003799589],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98782337,0.008921699,0.00046145424,0.0007258289,0.0008511415,0.0012164961],"domain_scores_gemma":[0.9718151,0.023089293,0.0012012089,0.0005482197,0.002258192,0.0010879717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025159162,0.00075422996,0.0009955044,0.002691645,0.0064189876,0.004459054,0.0023591858,0.0019953838,0.003122342],"category_scores_gemma":[0.030910823,0.0007326182,0.0008950159,0.0025314677,0.009470497,0.005454014,0.006133422,0.003075127,0.00046429556],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020442478,0.00003315586,0.0013503282,0.00025123768,0.0000029822293,0.0003125615,0.9928086,0.000031228126,0.0006011683,0.0007477509,0.00029762005,0.00354296],"study_design_scores_gemma":[0.0000033565248,0.000034262877,0.0011251573,0.00019702187,0.0000035881221,0.00008160144,0.99494725,0.00008697669,0.00020999127,0.00030222858,0.0030000005,0.000008647741],"about_ca_topic_score_codex":0.005404106,"about_ca_topic_score_gemma":0.005765041,"teacher_disagreement_score":0.025159162,"about_ca_system_score_codex":0.0069219866,"about_ca_system_score_gemma":0.007304869,"threshold_uncertainty_score":0.13305598},"labels":[],"label_agreement":null},{"id":"W4402833401","doi":"10.1109/nss/mic/rtsd57108.2024.10657074","title":"Design and Evaluation of a Partly Segmented Light Guide for High Resolution Solid-State Positron Emission Tomography (PET) Detectors","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","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":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Positron emission tomography; Detector; Solid-state; Positron emission; Resolution (logic); Tomography; Medical physics; Positron; Nuclear medicine; Physics; Materials science; Optics; Nuclear physics; Computer science; Artificial intelligence; Medicine; Engineering physics; Electron","score_opus":0.019066504764713894,"score_gpt":0.3047959717759249,"score_spread":0.285729467011211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402833401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.620446,0.0008413769,0.37254354,0.00019029784,0.00008839196,0.0005973192,0.00039395445,0.0035130447,0.0013860482],"genre_scores_gemma":[0.5070837,0.00036661446,0.48670566,0.00013298019,0.000019665094,0.00040638263,0.0005725585,0.00032045034,0.0043920456],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995415,0.00006777465,0.00002470914,0.00008987095,0.00022908876,0.000047097255],"domain_scores_gemma":[0.9983778,0.00030041797,0.00035331902,0.00019440276,0.000547351,0.00022663335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054634444,0.00061767816,0.00039201582,0.00039237714,0.00021815095,0.00062144554,0.0013000173,0.00090281863,0.00082819955],"category_scores_gemma":[0.0009532111,0.0005300001,0.00036470077,0.00022750515,0.00034966352,0.00049783447,0.0005398351,0.0003325266,0.0005878228],"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":[0.0004260435,0.00011338175,0.0015506814,0.00017084985,0.000026478463,0.00023176798,0.0001512712,0.005001791,0.9736042,0.00061462057,0.00042823874,0.017680608],"study_design_scores_gemma":[0.00009801278,0.0027032702,0.006715061,0.000025611236,0.00005850105,0.00081923406,0.00008280348,0.04623145,0.9294217,0.000108171334,0.0136487,0.00008741797],"about_ca_topic_score_codex":0.0011186566,"about_ca_topic_score_gemma":0.0020174552,"teacher_disagreement_score":0.0013000173,"about_ca_system_score_codex":0.000658218,"about_ca_system_score_gemma":0.0013212261,"threshold_uncertainty_score":0.004775703},"labels":[],"label_agreement":null},{"id":"W4402987309","doi":"10.1186/s13058-024-01890-x","title":"Reproductive factors and mammographic density within the International Consortium of Mammographic Density: A cross-sectional study","year":2024,"lang":"en","type":"article","venue":"Breast Cancer Research","topic":"Digital Radiography and Breast 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":"Princess Margaret Cancer Centre; Cancer Care Ontario","funders":"National Cancer Institute; National Medical Research Council; Cancer Council Victoria; Medical Research Council; National Institutes of Health; Universiti Malaya; ZonMw; World Health Organization; European Commission; Isfahan University of Medical Sciences; Breast Cancer Campaign; Engineering and Physical Sciences Research Council; Israel Cancer Association; Health Research Board; National Health and Medical Research Council; Cancer Research UK; Susan G. Komen for the Cure; World Cancer Research Fund; National Breast Cancer Foundation; Ellison Medical Foundation","keywords":"MAMMOGRAPHIC DENSITY; Cross-sectional study; Surgical oncology; Medicine; Breast cancer; Obstetrics; Mammography; Gynecology; Oncology; Cancer; Internal medicine; Pathology","score_opus":0.05435476076466497,"score_gpt":0.3854836778659136,"score_spread":0.3311289171012486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402987309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922564,0.00540289,0.0003833141,0.00008642686,0.00001520531,0.000040680887,0.0012965278,0.0000070204355,0.0005114136],"genre_scores_gemma":[0.9982287,0.0006759117,0.0002793414,0.000057675374,0.00001640159,0.000039975643,0.0006206438,0.0000023859632,0.0000789358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855536,0.00059206516,0.00018557782,0.00034204967,0.00022462306,0.000100368496],"domain_scores_gemma":[0.99513066,0.0013537576,0.0020297766,0.0005990106,0.0006165941,0.00027016932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031288303,0.0003126593,0.0005563972,0.0011371337,0.00038039187,0.0007624054,0.00052116887,0.0004905031,0.0010615285],"category_scores_gemma":[0.0058445306,0.00051836896,0.0013234515,0.0026694401,0.00026130414,0.00044548226,0.00056656974,0.00057331385,0.00014256297],"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":[0.00007812231,0.000018889255,0.9980932,0.000038549406,0.0008736761,0.00002268947,0.00004919741,0.000020916577,0.000038996488,0.000018045599,0.00009025777,0.0006574927],"study_design_scores_gemma":[0.000017791286,0.000088913344,0.9980709,0.00004647599,0.00093391596,0.00021629478,0.00012520247,0.00016551316,0.000031790376,0.000026303247,0.0002717232,0.00000525599],"about_ca_topic_score_codex":0.008766975,"about_ca_topic_score_gemma":0.008856714,"teacher_disagreement_score":0.008766975,"about_ca_system_score_codex":0.00032966962,"about_ca_system_score_gemma":0.00039620622,"threshold_uncertainty_score":0.017431915},"labels":[],"label_agreement":null},{"id":"W4403377653","doi":"10.2196/63834","title":"Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"DICOM; Computer science; Visualization; Preprint; Web application; Software; World Wide Web; Computer graphics (images); Operating system; Data mining","score_opus":0.02044776741495131,"score_gpt":0.3565566757490186,"score_spread":0.3361089083340673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403377653","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7255747,0.0015658195,0.2426301,0.0003791085,0.00018754537,0.0026461487,0.000974419,0.014906655,0.011135613],"genre_scores_gemma":[0.63714963,0.001497987,0.34644103,0.00020430729,0.00007858538,0.0016533337,0.0042865407,0.0020406593,0.006647911],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9963993,0.0012170852,0.00026001313,0.00041567817,0.0015340666,0.00017382365],"domain_scores_gemma":[0.9824625,0.0064054513,0.00085811573,0.0024731923,0.0072849393,0.0005157816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008604156,0.0008866206,0.00031806383,0.0019321543,0.00034058094,0.0014462699,0.0012685818,0.0006392152,0.0021317056],"category_scores_gemma":[0.021543736,0.0002938983,0.00084683596,0.0012399224,0.0004098606,0.0015987959,0.0016004118,0.0008945837,0.0011770378],"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":[0.0009947635,0.0031471686,0.037113693,0.00096926576,0.00026708585,0.0006211526,0.0018165329,0.022603523,0.04535909,0.004633747,0.008846281,0.87362766],"study_design_scores_gemma":[0.0010472968,0.0075003523,0.11990304,0.0012693114,0.00079929543,0.0021808553,0.0014328365,0.566793,0.20017919,0.0053545353,0.09321318,0.00032715744],"about_ca_topic_score_codex":0.0024616541,"about_ca_topic_score_gemma":0.001217847,"teacher_disagreement_score":0.008604156,"about_ca_system_score_codex":0.00047249848,"about_ca_system_score_gemma":0.0014974738,"threshold_uncertainty_score":0.045503676},"labels":[],"label_agreement":null},{"id":"W4405020114","doi":"10.1177/08465371241301957","title":"The Transformative Power of Digital Breast Tomosynthesis and Artificial Intelligence in Breast Cancer Diagnosis","year":2024,"lang":"en","type":"review","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","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":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; Breast cancer; Workflow; Health care; Workload; Software deployment; Breast imaging; Breast cancer screening; Transformative learning; Medical physics; Digital Breast Tomosynthesis; Scarcity; Applications of artificial intelligence; Artificial intelligence; Mammography; Computer science; Cancer","score_opus":0.023011816745158918,"score_gpt":0.303036515480837,"score_spread":0.2800246987356781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405020114","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011181278,0.9976507,0.0003310045,0.0004893257,0.00017110544,0.0000042716088,0.000005726279,0.0000069503276,0.0012291486],"genre_scores_gemma":[0.0011573622,0.99758327,0.00055194873,0.00022458403,0.00020461601,0.0000044808835,0.000008878387,0.0000019462557,0.00026285645],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99916697,0.0001823971,0.00009073369,0.000088029374,0.00042930472,0.00004254919],"domain_scores_gemma":[0.9975049,0.0017254858,0.00014587902,0.00005275001,0.000498809,0.00007219318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014951107,0.0007977988,0.00088516116,0.003915785,0.00030313258,0.0015069433,0.0009433302,0.0014531576,0.0020248177],"category_scores_gemma":[0.003075396,0.00032907675,0.00066467025,0.0029830474,0.0013993151,0.0016757597,0.0008695766,0.0025864167,0.00090920494],"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":[0.00003065843,0.0000513388,0.00033199225,0.011925723,0.00010922466,0.00015194916,0.000117829004,0.00049201166,0.0006533283,0.00744986,0.0130694145,0.9656167],"study_design_scores_gemma":[0.000016234788,0.00012625165,0.0035703918,0.009702176,0.0001626849,0.0029589892,0.0001836637,0.00054423313,0.00093026145,0.007743881,0.97399646,0.000064704545],"about_ca_topic_score_codex":0.005954342,"about_ca_topic_score_gemma":0.007191258,"teacher_disagreement_score":0.005954342,"about_ca_system_score_codex":0.001377303,"about_ca_system_score_gemma":0.0021016411,"threshold_uncertainty_score":0.01183939},"labels":[],"label_agreement":null},{"id":"W4406547658","doi":"10.1016/j.yobg.2013.05.095","title":"10.1016/j.yobg.2013.05.095","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Breast cancer; Estimation; MAMMOGRAPHIC DENSITY; Cancer; Population; Breast density; Oncology; Gynecology; Mammography; Statistics; Internal medicine; Environmental health; Mathematics","score_opus":0.004985663400157592,"score_gpt":0.1831010723819045,"score_spread":0.1781154089817469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406547658","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077582076,0.019196315,0.0031001251,0.007704369,0.0029957716,0.000120743054,0.0025715283,0.0017262712,0.9548267],"genre_scores_gemma":[0.01777093,0.0070265285,0.0023502826,0.0028758983,0.0010330421,0.00009062646,0.0016548003,0.00032701704,0.96687096],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997689,0.000020289404,0.000017356913,0.00007083887,0.000066666944,0.00005597737],"domain_scores_gemma":[0.9991689,0.00016343719,0.00010318014,0.00004887942,0.00020045837,0.0003152092],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000633012,0.0011014364,0.0005506759,0.0014955236,0.00085139525,0.0021783104,0.00089609233,0.0032128233,0.8892834],"category_scores_gemma":[0.0012492638,0.00046537185,0.0005548545,0.00067078986,0.0008618474,0.0021042237,0.001080971,0.0014623522,0.83452857],"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":[0.00032283537,0.00029008603,0.0052276347,0.0004983762,0.000040837174,0.0005895988,0.00010296312,0.00017222764,0.001222536,0.0038018867,0.24630341,0.74142754],"study_design_scores_gemma":[0.00009212427,0.0002101931,0.007843941,0.0013017636,0.000061008643,0.005860009,0.0003377386,0.00036110994,0.0007562298,0.005252631,0.97788423,0.000039020815],"about_ca_topic_score_codex":0.002196372,"about_ca_topic_score_gemma":0.0021260574,"teacher_disagreement_score":0.11071658,"about_ca_system_score_codex":0.0006109559,"about_ca_system_score_gemma":0.00096531113,"threshold_uncertainty_score":0.1579237},"labels":[],"label_agreement":null},{"id":"W4406558431","doi":"10.1016/s1879-8497(12)56624-0","title":"10.1016/s1879-8497(12)56624-0","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence","score_opus":0.004768002921495175,"score_gpt":0.1767822362578917,"score_spread":0.1720142333363965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406558431","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00029633156,0.0003870652,0.0005464987,0.00031969722,0.0002844813,0.00008800356,0.00041487187,0.00069724483,0.9969658],"genre_scores_gemma":[0.00046379675,0.00021244625,0.00033666348,0.00021796455,0.00009015706,0.000055014913,0.0002517925,0.00015568401,0.99821633],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927944,0.000056046894,0.00006417792,0.00023469239,0.00021083705,0.0001548052],"domain_scores_gemma":[0.9971545,0.00078281085,0.00015869754,0.00027315397,0.0005745899,0.0010562299],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001139814,0.0028483707,0.0019111908,0.0032768862,0.0024786075,0.0034681796,0.0031792102,0.0056553963,0.98961765],"category_scores_gemma":[0.0021262872,0.00093409757,0.001552184,0.002413564,0.0019463754,0.005181585,0.0038654949,0.0028018993,0.99240243],"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":[0.00031384962,0.000216952,0.0007653359,0.00056761823,0.000033161603,0.00023551624,0.00009582679,0.0004090776,0.001426303,0.0039343387,0.3810934,0.6109087],"study_design_scores_gemma":[0.000054588356,0.000118391756,0.0008293866,0.00034508226,0.00001305517,0.0004058541,0.000109934874,0.00017200997,0.00027587038,0.0005945677,0.9970577,0.00002361291],"about_ca_topic_score_codex":0.004158589,"about_ca_topic_score_gemma":0.0034485988,"teacher_disagreement_score":0.010382354,"about_ca_system_score_codex":0.0010413512,"about_ca_system_score_gemma":0.0011127711,"threshold_uncertainty_score":0.014809191},"labels":[],"label_agreement":null},{"id":"W4407798676","doi":"10.1177/08465371251322076","title":"Supplemental Screening for Breast Cancer and Implementation","year":2025,"lang":"en","type":"letter","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Dalhousie University","funders":"","keywords":"Medicine; Breast cancer; Breast cancer screening; Cancer; Medical physics; Mammography; Internal medicine","score_opus":0.013947124392431625,"score_gpt":0.3017083476900663,"score_spread":0.2877612232976347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407798676","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010235045,0.00026390664,0.00005944872,0.98316586,0.00487291,0.000025665906,0.00005870023,0.000024887166,0.010505133],"genre_scores_gemma":[0.0106591545,0.0005492425,0.0004026465,0.9518953,0.0106440345,0.000081768514,0.0001154755,0.000025493997,0.025626838],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99291915,0.0013649127,0.00064986723,0.00038561196,0.0019984224,0.0026819897],"domain_scores_gemma":[0.97167665,0.009109116,0.0010739248,0.0005922775,0.004422209,0.013125886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005712772,0.0004796981,0.0006015205,0.0009876532,0.0069326046,0.004542382,0.0024576224,0.055712383,0.027160266],"category_scores_gemma":[0.03862496,0.0007360921,0.001229026,0.000819301,0.002446299,0.002420224,0.003365896,0.027956212,0.0036686205],"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":[0.000030828465,0.00011278035,0.0028637336,0.000033085056,0.000005857178,0.0013424073,0.00018620404,0.000053186657,0.00015989471,0.0032636102,0.97924566,0.012702748],"study_design_scores_gemma":[0.00017855152,0.0001792389,0.02042521,0.00063902675,0.00004220896,0.0021037837,0.0014347229,0.0008457482,0.0002872329,0.0068998476,0.9668855,0.0000788923],"about_ca_topic_score_codex":0.18499045,"about_ca_topic_score_gemma":0.3670051,"teacher_disagreement_score":0.18499045,"about_ca_system_score_codex":0.013685043,"about_ca_system_score_gemma":0.06723998,"threshold_uncertainty_score":0.36782742},"labels":[],"label_agreement":null},{"id":"W4408315662","doi":"10.1117/1.jmi.12.s2.s22002","title":"Impact of menopause and age on breast density and background parenchymal enhancement in dynamic contrast-enhanced magnetic resonance imaging","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Imaging","topic":"Digital Radiography and Breast Imaging","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":"Sunnybrook Health Science Centre; Health Sciences Centre; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Medicine; Magnetic resonance imaging; Breast MRI; Dynamic contrast; Contrast (vision); Menopause; Radiology; Breast density; Dynamic contrast-enhanced MRI; Parenchyma; Mammography; Nuclear magnetic resonance; Internal medicine; Pathology; Breast cancer","score_opus":0.005971644301848341,"score_gpt":0.29684399067426714,"score_spread":0.2908723463724188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408315662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99315274,0.0041837497,0.0010520533,0.0001541016,0.000021085145,0.000016890734,0.0005661212,0.000017232649,0.0008359547],"genre_scores_gemma":[0.998516,0.00047689345,0.0005082211,0.000045840243,0.000017178898,0.000007868907,0.00020952527,0.000004179137,0.0002142066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972314,0.00008777717,0.00003118044,0.000069535,0.000055095545,0.000033212687],"domain_scores_gemma":[0.9987179,0.0003219875,0.0006700238,0.00010610935,0.00011977596,0.00006416491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010167524,0.00017245625,0.00022380953,0.0004902294,0.0001309219,0.0004109441,0.00019363717,0.0002516161,0.00072665646],"category_scores_gemma":[0.003939518,0.00017577976,0.000303633,0.0003756937,0.0002091384,0.00032158766,0.0002896299,0.0002322225,0.000116025294],"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":[0.00045121607,0.00002934925,0.98401165,0.00006885524,0.00017858057,0.00016840304,0.00011715932,0.0002478849,0.0023652925,0.00007376402,0.00021574808,0.012072007],"study_design_scores_gemma":[0.0000041393514,0.000077736004,0.99815506,0.00001933058,0.000058454025,0.00035839752,0.00005239655,0.00045070733,0.00032010666,0.00009660112,0.00040274352,0.000004372957],"about_ca_topic_score_codex":0.001752486,"about_ca_topic_score_gemma":0.003973187,"teacher_disagreement_score":0.001752486,"about_ca_system_score_codex":0.00017666191,"about_ca_system_score_gemma":0.00018876379,"threshold_uncertainty_score":0.0053771734},"labels":[],"label_agreement":null},{"id":"W4408846344","doi":"10.1002/mp.17765","title":"Robust Fourier‐based slanted‐edge method to measure scatter ratio","year":2025,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optics; Fourier transform; Monte Carlo method; Measure (data warehouse); Beam (structure); Physics; Detector; Range (aeronautics); Computational physics; Mathematics; Materials science; Computer science; Statistics","score_opus":0.028934396837907904,"score_gpt":0.30314088931229355,"score_spread":0.27420649247438567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408846344","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01328904,0.00016700411,0.98491955,0.000033854893,0.000021838858,0.000041706255,0.00007895685,0.00048097823,0.00096715],"genre_scores_gemma":[0.18576871,0.00033440508,0.8103027,0.00009113048,0.00004769241,0.0001810021,0.0005239533,0.00031596873,0.0024344965],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992592,0.00014161434,0.00003087776,0.00011816759,0.00039896666,0.00005123739],"domain_scores_gemma":[0.99901235,0.00034335724,0.00012753237,0.00012300428,0.0003523875,0.00004132141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009089525,0.00079387584,0.0005259933,0.0015143342,0.00028260928,0.0006838574,0.0010937643,0.0006981795,0.0028720282],"category_scores_gemma":[0.0021308681,0.00026305264,0.0007540545,0.0007934206,0.00044693612,0.0008699267,0.0007237231,0.00088274217,0.0015829102],"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":[0.0005373404,0.0003030155,0.004748425,0.00036490636,0.00017658681,0.00022579251,0.00020994435,0.11456726,0.20717628,0.014735669,0.0047886306,0.6521662],"study_design_scores_gemma":[0.000017575332,0.00007326331,0.0024886865,0.0000210797,0.000026083932,0.00028048886,0.000025390336,0.9552361,0.03662689,0.0025097425,0.0026437766,0.000050948245],"about_ca_topic_score_codex":0.0012217386,"about_ca_topic_score_gemma":0.0011741119,"teacher_disagreement_score":0.0028720282,"about_ca_system_score_codex":0.00043011774,"about_ca_system_score_gemma":0.00066687516,"threshold_uncertainty_score":0.0096078515},"labels":[],"label_agreement":null},{"id":"W4408922242","doi":"10.1007/s10552-025-01991-8","title":"Reproductive determinants of mammographic density in black women","year":2025,"lang":"en","type":"article","venue":"Cancer Causes & Control","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Cancer Institute; National Institutes of Health","keywords":"Medicine; Breastfeeding; Obstetrics; Breast cancer; Demography; Mammography; Parity (physics); Body mass index; Population; Gynecology; MAMMOGRAPHIC DENSITY; Cancer; Environmental health; Pediatrics; Internal medicine","score_opus":0.00891670216937002,"score_gpt":0.28263886063462745,"score_spread":0.27372215846525744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408922242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963728,0.0008764781,0.00008735986,0.0004398798,0.000013779615,0.0000075682688,0.00025691433,0.000005054754,0.0019402337],"genre_scores_gemma":[0.9990559,0.00022081133,0.000040603758,0.00004653792,0.000017326764,0.000004126833,0.000068158275,0.0000018657164,0.0005447433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978334,0.000079781,0.000009514117,0.00003219032,0.00002482605,0.00007037453],"domain_scores_gemma":[0.99898976,0.00036576804,0.0003166823,0.000052601295,0.000049950406,0.0002253109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043276243,0.0001806155,0.00021433544,0.00060560426,0.0004973611,0.0005262558,0.00032644637,0.00061250234,0.0038268187],"category_scores_gemma":[0.0026588559,0.00038758916,0.00036040874,0.00066059636,0.00028759948,0.0003435891,0.00036079326,0.0007745967,0.00023810564],"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":[0.000107370324,0.00009527836,0.99708813,0.0000058939913,0.00004523722,0.00008334192,0.00024138977,0.000036423004,0.00022852907,0.00014954494,0.0001210464,0.0017978377],"study_design_scores_gemma":[0.000003738452,0.000041325147,0.9989293,0.000009236571,0.00003220555,0.00008308856,0.00035693642,0.0001962033,0.0000311501,0.00008165954,0.00023225264,0.0000029793687],"about_ca_topic_score_codex":0.04029301,"about_ca_topic_score_gemma":0.0393454,"teacher_disagreement_score":0.04029301,"about_ca_system_score_codex":0.00036318754,"about_ca_system_score_gemma":0.00050413335,"threshold_uncertainty_score":0.08011693},"labels":[],"label_agreement":null},{"id":"W4409386040","doi":"10.1016/j.ejrad.2025.112088","title":"Cost effectiveness of digital breast tomosynthesis for breast cancer screening in a Swedish setting","year":2025,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"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":"Skånes universitetssjukhus; Region Skåne; Svenska Läkaresällskapet; Gunnar Nilssons Cancerstiftelse; Crafoordska Stiftelsen; Cancerfonden; University Hospital Foundation; Vetenskapsrådet; Find A Cure Today Breast Cancer Foundation; Swedish Cancer Foundation","keywords":"Medicine; Tomosynthesis; Digital Breast Tomosynthesis; Breast cancer; Medical physics; Breast cancer screening; Mammography; Radiology; Oncology; Cancer; Internal medicine","score_opus":0.016650835770386237,"score_gpt":0.28931542592062226,"score_spread":0.27266459015023603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409386040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675954,0.0074111656,0.00778549,0.0022932242,0.000102176586,0.00031229082,0.0018153557,0.00008319392,0.012601661],"genre_scores_gemma":[0.9970682,0.0009007068,0.0008753559,0.00012395265,0.000010221334,0.00008402467,0.00031222048,0.000006243846,0.0006191742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981489,0.0013377913,0.00005021372,0.00008602593,0.00014024458,0.00023674953],"domain_scores_gemma":[0.9957283,0.0035327966,0.00033784265,0.00006562258,0.00015725593,0.00017811888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036182683,0.0010016938,0.0012637019,0.0011165438,0.0002690876,0.0021564325,0.0007983236,0.001250247,0.0044506164],"category_scores_gemma":[0.009583674,0.0004744145,0.0026692143,0.0008073259,0.00047923124,0.00097408047,0.0008197864,0.0008993089,0.00021187324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005979284,0.00030762007,0.014984927,0.00089795596,0.001254364,0.0003872417,0.00008309501,0.94982874,0.0004522291,0.00446836,0.0013398083,0.020016387],"study_design_scores_gemma":[0.004568634,0.009098157,0.061569136,0.0018881416,0.007572245,0.0020030525,0.00089575123,0.8780571,0.0018459093,0.02446155,0.0077976636,0.00024264376],"about_ca_topic_score_codex":0.014291496,"about_ca_topic_score_gemma":0.007091085,"teacher_disagreement_score":0.014291496,"about_ca_system_score_codex":0.004980022,"about_ca_system_score_gemma":0.0027158132,"threshold_uncertainty_score":0.036132812},"labels":[],"label_agreement":null},{"id":"W4409726614","doi":"10.1016/j.amjsurg.2025.116357","title":"Impact of breast density on re-excision and recurrence of breast cancer following breast conserving surgery","year":2025,"lang":"en","type":"article","venue":"The American Journal of Surgery","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kelowna General Hospital; University of British Columbia, Okanagan Campus; BC Cancer Agency","funders":"","keywords":"Breast cancer; Medicine; Breast-conserving surgery; Oncology; Breast surgery; General surgery; Internal medicine; Mastectomy; Cancer","score_opus":0.019524456921526337,"score_gpt":0.310860901337699,"score_spread":0.2913364444161727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409726614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975369,0.0008096524,0.000036785306,0.00019842321,0.000023606917,0.0000053965987,0.00011337114,0.0000035345613,0.0012722724],"genre_scores_gemma":[0.9994721,0.00017288918,0.000022757094,0.000025455936,0.000026171783,0.0000017257124,0.00007904256,0.0000017777031,0.00019817647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890625,0.0003868657,0.00012129234,0.000087421686,0.0002442779,0.00025390828],"domain_scores_gemma":[0.9915399,0.0035018777,0.0026295083,0.00039300133,0.0007089476,0.0012267731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011612378,0.00023641335,0.0004860179,0.00073550874,0.00039685977,0.00097307685,0.0006289686,0.0006840044,0.0029385847],"category_scores_gemma":[0.012101417,0.00019101979,0.0011286885,0.0007964893,0.0004702991,0.0006021323,0.00057298143,0.0011024972,0.00029685293],"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":[0.00053806196,0.00015824981,0.9949816,0.000013519085,0.00012971683,0.00019283031,0.000046828143,0.00010335903,0.00010133108,0.000017201617,0.00006249367,0.0036548958],"study_design_scores_gemma":[0.0000037350121,0.00018967279,0.9989624,0.000006190597,0.00008294951,0.00026975299,0.0001697494,0.0001618406,0.000037707396,0.000022720233,0.000088312096,0.0000049632295],"about_ca_topic_score_codex":0.007122022,"about_ca_topic_score_gemma":0.010985653,"teacher_disagreement_score":0.007122022,"about_ca_system_score_codex":0.0007367037,"about_ca_system_score_gemma":0.0007578496,"threshold_uncertainty_score":0.01416111},"labels":[],"label_agreement":null},{"id":"W4410861246","doi":"10.1007/s00330-025-11687-x","title":"More than density: validating a mammographic masking prediction model in Dutch breast cancer screening","year":2025,"lang":"en","type":"article","venue":"European Radiology","topic":"Digital Radiography and Breast Imaging","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":"Ontario Institute for Cancer Research; Sunnybrook Health Science Centre","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Government of Ontario","keywords":"Medicine; Mammography; Breast cancer; Confidence interval; Masking (illustration); Neuroradiology; Receiver operating characteristic; Retrospective cohort study; Cohort; Radiology; Breast cancer screening; Area under the curve; Cancer; Interventional radiology; Digital mammography; Internal medicine","score_opus":0.013332451230023768,"score_gpt":0.26645060139733806,"score_spread":0.2531181501673143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410861246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99369675,0.0001223106,0.0050578504,0.00006548032,0.000009188819,0.00004242097,0.00059028534,0.00004364277,0.000372004],"genre_scores_gemma":[0.99224126,0.00006305071,0.0058125216,0.000026815622,0.000007675811,0.00006056812,0.0015022475,0.000016284937,0.0002695658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797434,0.001192187,0.00014159176,0.00039057978,0.00023190917,0.00006948734],"domain_scores_gemma":[0.99306947,0.004665746,0.0005985217,0.0005113635,0.000957447,0.00019731204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007219676,0.0005923762,0.0005420382,0.0007019737,0.00026261937,0.0008729871,0.0007342831,0.00060677534,0.00088972977],"category_scores_gemma":[0.027581554,0.0002451969,0.00076367386,0.00053972856,0.00022971381,0.0004976511,0.00074596674,0.00028017626,0.00036179886],"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":[0.0016014142,0.00044631687,0.8655179,0.00015815922,0.0008352878,0.0002626518,0.00047760998,0.068434566,0.003127716,0.00033316374,0.0011188531,0.057686385],"study_design_scores_gemma":[0.00020039102,0.00077785744,0.3527021,0.000052661508,0.00030026882,0.000370704,0.00030188102,0.6403222,0.0028499935,0.0004270567,0.0016530543,0.000041692507],"about_ca_topic_score_codex":0.038963925,"about_ca_topic_score_gemma":0.02604176,"teacher_disagreement_score":0.038963925,"about_ca_system_score_codex":0.0010949569,"about_ca_system_score_gemma":0.0010650464,"threshold_uncertainty_score":0.07747424},"labels":[],"label_agreement":null},{"id":"W4410876060","doi":"10.1093/jbi/wbaf025","title":"Artificial Intelligence for Assessment of Digital Mammography Positioning Reveals Persistent Challenges","year":2025,"lang":"en","type":"article","venue":"Journal of Breast Imaging","topic":"Digital Radiography and Breast Imaging","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":"Victoria General Hospital; Health Sciences Centre; Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Medicine; Mammography; Breast cancer; Digital mammography; Medical physics; Cancer; Internal medicine","score_opus":0.029167339266249304,"score_gpt":0.3233538712321639,"score_spread":0.2941865319659146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410876060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88756484,0.004472675,0.087616995,0.0018469299,0.000109816814,0.00037873522,0.0010738309,0.0005018377,0.016434317],"genre_scores_gemma":[0.9725018,0.000487924,0.0260494,0.00016387171,0.000050945062,0.00009502418,0.0002743225,0.000014729505,0.0003620394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943321,0.002516886,0.000654225,0.00064798835,0.0016954716,0.00015340971],"domain_scores_gemma":[0.9797188,0.012822289,0.0038079675,0.0011845618,0.0021935178,0.00027295004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054259733,0.0005926099,0.00048360284,0.0029972685,0.0003409721,0.0023689047,0.0005540795,0.00065291947,0.0010080256],"category_scores_gemma":[0.02876323,0.00016095999,0.00043550704,0.002295364,0.00068169355,0.0010182181,0.0011413634,0.0004885943,0.0003582759],"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":[0.0005146529,0.00028389212,0.61663747,0.00078032346,0.000431757,0.00021912006,0.0011238292,0.014322473,0.0069188033,0.0022164178,0.0018029741,0.35474834],"study_design_scores_gemma":[0.00006541321,0.001414938,0.7967621,0.00047100883,0.00033570582,0.0012987328,0.0023259418,0.16803524,0.0074405754,0.013815858,0.007931268,0.000103261875],"about_ca_topic_score_codex":0.0013794616,"about_ca_topic_score_gemma":0.001092021,"teacher_disagreement_score":0.0054259733,"about_ca_system_score_codex":0.00060745294,"about_ca_system_score_gemma":0.00061101327,"threshold_uncertainty_score":0.028695643},"labels":[],"label_agreement":null},{"id":"W4412117512","doi":"10.1139/cjc-2024-0246","title":"3D X-ray fluorescence imaging of insect pests and analysis in a virtual reality environment","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Lethbridge College; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Saskatchewan Wheat Development Commission; Alberta Wheat Commission; Canadian Light Source","keywords":"Chemistry; Fluorescence; Insect; Photochemistry; Optics; Ecology; Physics","score_opus":0.006069937703463106,"score_gpt":0.2156622238493332,"score_spread":0.20959228614587008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412117512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6651006,0.0013111988,0.32306188,0.00036717043,0.00004660082,0.00016777472,0.0008366916,0.0016637798,0.007444422],"genre_scores_gemma":[0.7138104,0.0013747988,0.27920422,0.00014345173,0.00002117926,0.00015340581,0.000465866,0.00025445403,0.004572265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969804,0.000059516082,0.000013393232,0.000044126555,0.00014429557,0.00004072808],"domain_scores_gemma":[0.9997806,0.00008197924,0.000030298354,0.000038071677,0.000038200425,0.000030887717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060749723,0.00043220137,0.00033887912,0.0011403647,0.00032191648,0.0011428876,0.00051811873,0.0006150353,0.002753119],"category_scores_gemma":[0.0005412538,0.0005047772,0.0005724001,0.00044343589,0.00040250056,0.00041257587,0.00092928705,0.00046891638,0.00042184247],"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":[0.00031700058,0.00008978736,0.004607067,0.00027099837,0.000056488316,0.0011898086,0.00074062607,0.01723697,0.9222131,0.0025193656,0.0008836609,0.04987519],"study_design_scores_gemma":[0.00010829828,0.0010330224,0.086079426,0.00022937956,0.00023982416,0.017107692,0.0015135912,0.23872675,0.6137059,0.003454878,0.0374177,0.0003836475],"about_ca_topic_score_codex":0.0019271107,"about_ca_topic_score_gemma":0.0032144806,"teacher_disagreement_score":0.002753119,"about_ca_system_score_codex":0.00039234798,"about_ca_system_score_gemma":0.00049051386,"threshold_uncertainty_score":0.00921005},"labels":[],"label_agreement":null},{"id":"W4412459465","doi":"10.1016/j.ejrad.2025.112315","title":"Overview of different reimbursement strategies among contrast-enhanced mammography (CEM) expert centers on a global level – A survey study","year":2025,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; Western University","funders":"","keywords":"Medicine; Reimbursement; Mammography; Contrast (vision); Medical physics; Family medicine; Radiology; Health care; Internal medicine; Artificial intelligence; Breast cancer; Cancer","score_opus":0.05056886775005351,"score_gpt":0.32258644847234935,"score_spread":0.27201758072229587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412459465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973826,0.00059430354,0.000106238556,0.0004538546,0.000005237065,0.000018776054,0.00025181644,0.000003975067,0.0011832202],"genre_scores_gemma":[0.9985808,0.00060496636,0.00017982628,0.00022574185,0.000009401732,0.00001594178,0.00023346074,0.0000035029295,0.00014626051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971117,0.0013108501,0.00040920454,0.0002766729,0.00042725104,0.00046433913],"domain_scores_gemma":[0.99229854,0.0017746973,0.003965098,0.00016069262,0.0010006154,0.00080031855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003623212,0.00021674733,0.00027142258,0.0020160282,0.00027374178,0.0010555987,0.0003570285,0.00062050804,0.0014503946],"category_scores_gemma":[0.00738955,0.0002520668,0.00039976303,0.0023554694,0.0004464896,0.0014251942,0.0008177874,0.0003996468,0.0002791002],"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":[0.000036610705,0.00006342102,0.98690027,0.00009487667,0.00004251317,0.0001593474,0.0027540878,0.00005260892,0.00013237161,0.00010218639,0.0006883332,0.008973209],"study_design_scores_gemma":[0.0000038996222,0.00010727859,0.98860323,0.00009694559,0.000019690357,0.0006612363,0.008519049,0.00019532217,0.000080709826,0.000031891275,0.0016670964,0.000013606282],"about_ca_topic_score_codex":0.0025596556,"about_ca_topic_score_gemma":0.0024474324,"teacher_disagreement_score":0.003623212,"about_ca_system_score_codex":0.00075134606,"about_ca_system_score_gemma":0.00074486644,"threshold_uncertainty_score":0.019161642},"labels":[],"label_agreement":null},{"id":"W4414015628","doi":"10.11159/icbes25.185","title":"REBECCA: A System for Real World Behavioural Data in Breast Cancer Clinical Research and Patient Care","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Breast cancer; Cancer; Computer science; Patient care; Medicine; Nursing; Internal medicine","score_opus":0.034697626627104336,"score_gpt":0.330365467757563,"score_spread":0.29566784113045863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414015628","genre_codex":"software","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031224934,0.0048011797,0.22513486,0.008042798,0.001974692,0.009174098,0.18419817,0.48155105,0.053898234],"genre_scores_gemma":[0.2953649,0.0038192996,0.43361583,0.011032554,0.0010173231,0.013763687,0.1905427,0.018817956,0.0320258],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946731,0.0016427159,0.000581778,0.001454873,0.0012780047,0.00036965217],"domain_scores_gemma":[0.98752695,0.0047492986,0.001052174,0.0028972244,0.002381188,0.0013931427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062980345,0.0020331203,0.001716708,0.0041402997,0.00091224245,0.004077398,0.0041304477,0.0014780303,0.01909514],"category_scores_gemma":[0.027031377,0.0009812275,0.0012183888,0.0036148129,0.0006680625,0.003295088,0.005535049,0.0018661193,0.009674532],"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":[0.0040566954,0.0005116357,0.027415935,0.0024509716,0.00082660274,0.0007386745,0.0019107373,0.0060394746,0.007869192,0.011392795,0.5873705,0.34941685],"study_design_scores_gemma":[0.0011252963,0.0006037058,0.045285046,0.0017956804,0.00046928859,0.00081660214,0.00071904727,0.07320318,0.007951071,0.023246607,0.8437973,0.0009872295],"about_ca_topic_score_codex":0.054704964,"about_ca_topic_score_gemma":0.051755752,"teacher_disagreement_score":0.054704964,"about_ca_system_score_codex":0.0033229426,"about_ca_system_score_gemma":0.009772302,"threshold_uncertainty_score":0.10877311},"labels":[],"label_agreement":null},{"id":"W4414084430","doi":"10.1002/mp.18108","title":"A novel direct‐indirect dual‐layer flat‐panel detector for contrast‐enhanced breast imaging: Experimental assessment","year":2025,"lang":"en","type":"article","venue":"Medical Physics","topic":"Digital Radiography and Breast Imaging","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":"Analogic (Canada); Cégep de Saint-Laurent","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health","keywords":"Detector; Medical imaging; Mammography; Filter (signal processing); Breast imaging; Breast tissue; Matched filter","score_opus":0.01949406013561049,"score_gpt":0.3119498041322754,"score_spread":0.2924557439966649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414084430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8225756,0.0015254227,0.17228852,0.00023265718,0.00007648506,0.0005274345,0.00038545835,0.00042152926,0.0019668427],"genre_scores_gemma":[0.7057931,0.00064146507,0.2916415,0.00012643018,0.000013542153,0.00021383424,0.0002733353,0.000027646629,0.001269131],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997372,0.000049149003,0.000008754319,0.0000679662,0.00011240731,0.000024563664],"domain_scores_gemma":[0.999532,0.0001390102,0.000045210818,0.000079931204,0.0001501192,0.00005378172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080711854,0.00041041695,0.0002758153,0.0002896683,0.00016238671,0.00034076284,0.001065933,0.0006516879,0.0008838211],"category_scores_gemma":[0.0007866327,0.0003475525,0.0002108523,0.0002468812,0.00021250447,0.00037080064,0.0003425089,0.00032838635,0.00017693483],"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":[0.0005025781,0.00032214145,0.0028455781,0.00035268575,0.00003766558,0.00017478403,0.00006102875,0.0016993359,0.9635257,0.00044419878,0.00044735023,0.029586932],"study_design_scores_gemma":[0.00014336963,0.0037547338,0.010909936,0.000024913337,0.00011159975,0.001544182,0.00004482425,0.049737826,0.9282242,0.00009006785,0.0053285104,0.00008574752],"about_ca_topic_score_codex":0.0011192305,"about_ca_topic_score_gemma":0.001230145,"teacher_disagreement_score":0.0011192305,"about_ca_system_score_codex":0.0004384688,"about_ca_system_score_gemma":0.0004387462,"threshold_uncertainty_score":0.004268527},"labels":[],"label_agreement":null},{"id":"W4414287790","doi":"10.1117/12.3063051","title":"Evaluation of activation characteristics and sensitivity of a broadband x-ray, gamma-ray camera on board a small satellite","year":2025,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Sensitivity (control systems); Broadband; Satellite; On board; Noise (video); Calibration","score_opus":0.023055127666971827,"score_gpt":0.27895677975684613,"score_spread":0.2559016520898743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414287790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238634,0.0003886518,0.0059696147,0.000034582208,0.000009329796,0.000022547756,0.00003567684,0.00004259022,0.0011105653],"genre_scores_gemma":[0.9960587,0.00019254172,0.0022944955,0.000027447491,0.000010687303,0.000007860509,0.00006269356,0.000033755226,0.0013118614],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964786,0.00010633626,0.00001512239,0.000069809954,0.00010492515,0.000056002413],"domain_scores_gemma":[0.9970323,0.0017920727,0.00017849814,0.00015043512,0.00067104964,0.0001755919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050045224,0.00031521535,0.00027345534,0.00049280905,0.0002413667,0.00041399078,0.00044769872,0.00058696844,0.0021904327],"category_scores_gemma":[0.0026721125,0.0002344785,0.00027550256,0.00046814236,0.00031418147,0.0005135978,0.0002519959,0.00026559544,0.00032131738],"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":[0.004550137,0.00018391518,0.021042464,0.00017037427,0.00006346321,0.00063693884,0.00027295641,0.0014106634,0.95123225,0.00021935132,0.00011113078,0.020106371],"study_design_scores_gemma":[0.00011308392,0.008084955,0.10817047,0.000045850626,0.00046433302,0.0034115461,0.0005655736,0.017226748,0.8593289,0.00015079445,0.0023833464,0.00005429734],"about_ca_topic_score_codex":0.0013183282,"about_ca_topic_score_gemma":0.00116167,"teacher_disagreement_score":0.0021904327,"about_ca_system_score_codex":0.00038836923,"about_ca_system_score_gemma":0.0003387987,"threshold_uncertainty_score":0.0073277354},"labels":[],"label_agreement":null},{"id":"W4416450501","doi":"10.1088/1361-6560/ae222f","title":"Study of dose reduction in computed tomography using a time-of-flight scatter rejection mechanism in a 3D voxelized phantom","year":2025,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Digital Radiography and Breast Imaging","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":"InterDigital (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Imaging phantom; Reduction (mathematics); Monte Carlo method; Scanner; Photon; Image resolution; Torso; Full width at half maximum; Beam (structure)","score_opus":0.0922896271169176,"score_gpt":0.37601929201299206,"score_spread":0.28372966489607443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416450501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91466,0.0004779754,0.08236957,0.00010091856,0.000015200517,0.000052601637,0.00022243525,0.0006735264,0.0014277999],"genre_scores_gemma":[0.9802729,0.00013362012,0.018772777,0.000025948124,0.0000021786766,0.000027409895,0.00009882701,0.00008273205,0.00058363273],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981624,0.000046336143,0.000009244049,0.000030841988,0.0000793424,0.000017898996],"domain_scores_gemma":[0.9993875,0.0003717529,0.000120577286,0.000040408486,0.000059213995,0.000020504209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036293847,0.00039243235,0.00027378692,0.00030065418,0.000089716625,0.00037692668,0.00045262123,0.000401096,0.00092398486],"category_scores_gemma":[0.0011015817,0.00020828188,0.0003254777,0.00024635685,0.00026405425,0.00018364532,0.0002049729,0.00016746327,0.000089880785],"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":[0.0009583065,0.00015848644,0.0042441012,0.000258848,0.00009654868,0.00048273074,0.00017637733,0.48726663,0.4940065,0.0009038725,0.00018262636,0.011264919],"study_design_scores_gemma":[0.000085224485,0.0014737544,0.014913172,0.000041402527,0.00013794264,0.00092143693,0.00008255349,0.65346754,0.32713604,0.0002827616,0.0014054981,0.000052738735],"about_ca_topic_score_codex":0.0012674393,"about_ca_topic_score_gemma":0.0006236554,"teacher_disagreement_score":0.0012674393,"about_ca_system_score_codex":0.00039603797,"about_ca_system_score_gemma":0.0003304733,"threshold_uncertainty_score":0.0030910373},"labels":[],"label_agreement":null},{"id":"W53081550","doi":"10.1007/978-3-642-23626-6_69","title":"Adaptive Multi-cluster Fuzzy C-Means Segmentation of Breast Parenchymal Tissue in Digital Mammography","year":2011,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; University of Toronto; U.S. Department of Defense","keywords":"Computer science; Breast cancer; Artificial intelligence; Digital mammography; Segmentation; Pattern recognition (psychology); Mammography; Breast density; Jaccard index; Ground truth; Cluster analysis; Fuzzy logic; Cancer; Medicine","score_opus":0.018260379945897066,"score_gpt":0.2526967971718959,"score_spread":0.23443641722599884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W53081550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15940046,0.0008628915,0.837441,0.0001467463,0.00006746832,0.000118106196,0.00010591405,0.0005157914,0.0013416194],"genre_scores_gemma":[0.44874206,0.00035866947,0.54899675,0.000059680267,0.00003635477,0.000059066817,0.00013836064,0.0001164658,0.0014925859],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993352,0.00012423957,0.00004862476,0.000131508,0.0002803418,0.000080115016],"domain_scores_gemma":[0.9989039,0.00042899876,0.00007674009,0.0000784584,0.00047303524,0.000038950748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012081474,0.00046531463,0.00066585554,0.0021645813,0.00063340005,0.0011132583,0.0012221972,0.0012068133,0.00076999963],"category_scores_gemma":[0.0025544418,0.00046905922,0.0006716477,0.0015050505,0.00051594124,0.00056815334,0.0005786579,0.0004619208,0.00024571596],"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":[0.0012914177,0.00018676065,0.004836731,0.000576604,0.00016860981,0.00025405284,0.0005275878,0.18447006,0.17639437,0.0030311802,0.002504742,0.6257579],"study_design_scores_gemma":[0.000018563285,0.000070290276,0.004964085,0.000031107767,0.000057962967,0.00019774363,0.00008794398,0.9519785,0.040130462,0.0012774322,0.001145523,0.0000403876],"about_ca_topic_score_codex":0.0143208,"about_ca_topic_score_gemma":0.016279027,"teacher_disagreement_score":0.0143208,"about_ca_system_score_codex":0.00090766465,"about_ca_system_score_gemma":0.0011727801,"threshold_uncertainty_score":0.028474867},"labels":[],"label_agreement":null},{"id":"W588227996","doi":"10.1007/978-3-319-07887-8_26","title":"Towards a Quantitative Measure of Radiographic Masking by Dense Tissue in Mammography","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Sunnybrook Hospital; Sunnybrook Health Science Centre","funders":"","keywords":"Mammography; Masking (illustration); Breast density; Breast tissue; Computer science; Correlation; Artificial intelligence; Metric (unit); Measure (data warehouse); Pattern recognition (psychology); Observer (physics); Medicine; Mathematics; Breast cancer; Data mining; Physics","score_opus":0.014002148758309648,"score_gpt":0.2582218860362117,"score_spread":0.24421973727790205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W588227996","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025125135,0.0032472396,0.9693526,0.00010158203,0.00006502948,0.00003848059,0.00014784595,0.0003901769,0.0015318819],"genre_scores_gemma":[0.2627991,0.0033111046,0.729622,0.00017201825,0.00026995057,0.000105329906,0.00048411847,0.00030957736,0.0029268174],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790716,0.00067125907,0.00012871873,0.0003234403,0.00088220194,0.00008719818],"domain_scores_gemma":[0.9941351,0.003841961,0.0005929775,0.00057171425,0.00072577293,0.0001324849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003171644,0.0010864048,0.0010383936,0.002451319,0.0002574459,0.0021481202,0.0016241402,0.0014433827,0.0015711203],"category_scores_gemma":[0.010136381,0.0010271099,0.0006084774,0.001577637,0.0014296861,0.0020914506,0.002064969,0.0010443601,0.00082770793],"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":[0.00063749007,0.00015611746,0.009610738,0.0015391279,0.00024362945,0.00028362707,0.00037953787,0.037514593,0.5086789,0.031608168,0.0016708174,0.40767723],"study_design_scores_gemma":[0.000049904935,0.0011158035,0.047781095,0.00037654795,0.000494402,0.004988252,0.00048971735,0.5373534,0.3081247,0.083909996,0.015046676,0.00026947446],"about_ca_topic_score_codex":0.00035121536,"about_ca_topic_score_gemma":0.00039859134,"teacher_disagreement_score":0.003171644,"about_ca_system_score_codex":0.0005062823,"about_ca_system_score_gemma":0.00029735712,"threshold_uncertainty_score":0.016773403},"labels":[],"label_agreement":null},{"id":"W59443590","doi":"10.1007/978-3-319-07887-8_33","title":"Contrast-Enhanced Digital Mammography Lesion Morphology and a Phantom for Performance Evaluation","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Mammography; Digital mammography; Computer science; Lesion; Artificial intelligence; Contrast (vision); Breast imaging; Breast MRI; Pattern recognition (psychology); Radiology; Medicine; Medical physics; Breast cancer; Pathology","score_opus":0.017864489460936262,"score_gpt":0.2678821799734879,"score_spread":0.2500176905125516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W59443590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20487347,0.030189244,0.70704204,0.001153598,0.0005341108,0.0006445925,0.0022422276,0.0044454704,0.048875354],"genre_scores_gemma":[0.5534628,0.012815792,0.39449954,0.00050213764,0.0002119443,0.00021307213,0.0026024624,0.0012819208,0.03441031],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996904,0.00008616586,0.00002222749,0.000034687888,0.00015151726,0.000014968684],"domain_scores_gemma":[0.99879277,0.0007234963,0.00006858312,0.00012634498,0.00025180314,0.000036983147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009914458,0.000711089,0.0003379074,0.0012111466,0.00013842875,0.0010443849,0.0007340169,0.0008075967,0.005279055],"category_scores_gemma":[0.0030606699,0.0004129821,0.00032038472,0.0010316239,0.0002386575,0.0005658789,0.0003861591,0.0003297482,0.0018995301],"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":[0.0017967771,0.00036713865,0.0043506026,0.0010074634,0.00008115285,0.0012206075,0.00021994364,0.015102864,0.49530557,0.0063347816,0.0073256404,0.46688735],"study_design_scores_gemma":[0.00014567346,0.003063799,0.05344419,0.00062969327,0.0005205074,0.035894107,0.00035422578,0.22890376,0.6090258,0.0070010703,0.060777895,0.00023939103],"about_ca_topic_score_codex":0.00035089676,"about_ca_topic_score_gemma":0.00050532265,"teacher_disagreement_score":0.005279055,"about_ca_system_score_codex":0.00029051874,"about_ca_system_score_gemma":0.00027811766,"threshold_uncertainty_score":0.0176602},"labels":[],"label_agreement":null},{"id":"W60801086","doi":"","title":"The digital readiness of imaging facilities in Saskatchewan.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal University Hospital","funders":"","keywords":"Medicine; Digital imaging; The Internet; Radiology information systems; Quality (philosophy); Internet access; Digital image; Medical physics; Medical emergency; Radiology; World Wide Web; Computer science; Artificial intelligence; Image processing","score_opus":0.008897869362543092,"score_gpt":0.20184972709687649,"score_spread":0.1929518577343334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W60801086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917984,0.00053793343,0.0003276193,0.0013508762,0.000013294116,0.000057583784,0.0014078924,0.000020239233,0.0044861357],"genre_scores_gemma":[0.9967194,0.00047508362,0.0006372804,0.00039660893,0.000005878409,0.0000368688,0.00057343335,0.0000045356123,0.0011509311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990428,0.00021853397,0.00006616708,0.000084950494,0.00024563452,0.00034174992],"domain_scores_gemma":[0.9944307,0.0013474182,0.0014665179,0.0001994429,0.0013532252,0.0012026764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007577524,0.00016067477,0.000099569625,0.00095294596,0.0007438092,0.001067161,0.00073013344,0.00030837423,0.00509593],"category_scores_gemma":[0.0043578176,0.00026964876,0.00012568998,0.0017933958,0.0007208521,0.000513435,0.0011476491,0.00037250324,0.00050939363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008657029,0.00003925472,0.9655488,0.00014648351,0.000026044429,0.00038990396,0.001390225,0.00024348081,0.0016635339,0.00017912583,0.0022109672,0.028075611],"study_design_scores_gemma":[0.000012415593,0.00007963552,0.9874858,0.00009044996,0.000015386724,0.00044040466,0.0063039595,0.000219659,0.00041326406,0.00007057538,0.0048521226,0.000016302442],"about_ca_topic_score_codex":0.60045034,"about_ca_topic_score_gemma":0.7711287,"teacher_disagreement_score":0.39954966,"about_ca_system_score_codex":0.0075458265,"about_ca_system_score_gemma":0.01574531,"threshold_uncertainty_score":0.80380535},"labels":[],"label_agreement":null},{"id":"W6892932871","doi":"10.5281/zenodo.13152464","title":"Pengaruh Religiusitas Terhadap Quarter Life Crisis Pada Mahasiswa Universitas Bhayangkara Jakarta Raya","year":2024,"lang":"id","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Life style; Truancy","score_opus":0.02024068030166818,"score_gpt":0.23611823398300213,"score_spread":0.21587755368133396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892932871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5540032,0.035444397,0.0016434853,0.07138253,0.0027441077,0.0003543721,0.003582124,0.00045394318,0.33039182],"genre_scores_gemma":[0.74964267,0.015332288,0.0019763855,0.0037865066,0.00043720234,0.00021523968,0.0014610401,0.00014675132,0.227002],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993167,0.00016599624,0.00003773048,0.00006532686,0.00016615842,0.0002480437],"domain_scores_gemma":[0.99898034,0.000120140845,0.000092344664,0.000059074435,0.00018366314,0.00056446204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006908104,0.00047875545,0.00041025382,0.0007445914,0.0050697518,0.004620862,0.0004998711,0.0007771393,0.049275897],"category_scores_gemma":[0.0009887881,0.0003085545,0.0002250607,0.0014730766,0.0011658275,0.0009663551,0.0035074092,0.0017734051,0.007272448],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073197676,0.00054070726,0.12721002,0.0022588354,0.00012059346,0.0058361506,0.050428133,0.00051345146,0.012798575,0.044560354,0.2795332,0.475468],"study_design_scores_gemma":[0.000035381683,0.00012987979,0.19707167,0.0008149242,0.0000402073,0.0016184509,0.06556499,0.00027827302,0.00272815,0.0033683272,0.7282471,0.00010257908],"about_ca_topic_score_codex":0.025455214,"about_ca_topic_score_gemma":0.04547326,"teacher_disagreement_score":0.049275897,"about_ca_system_score_codex":0.0034401028,"about_ca_system_score_gemma":0.009706982,"threshold_uncertainty_score":0.16484433},"labels":[],"label_agreement":null},{"id":"W6893452265","doi":"10.5281/zenodo.16583708","title":"AuroraX - an open data platform for auroral science","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Key (lock); Space Science; Data access; Space weather; Space (punctuation); Open data","score_opus":0.1276597201469378,"score_gpt":0.3368471158639795,"score_spread":0.20918739571704167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893452265","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054765595,0.0036948733,0.09200969,0.0048323553,0.001975625,0.0007716129,0.33967528,0.30488995,0.24667399],"genre_scores_gemma":[0.041723706,0.0027991293,0.09949901,0.0026593502,0.0011132214,0.0012177564,0.70039374,0.063109025,0.08748513],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99702007,0.0004313672,0.000202123,0.00041532752,0.001502229,0.0004288544],"domain_scores_gemma":[0.9949444,0.0006937161,0.00029560723,0.0017377853,0.0011983918,0.0011301608],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0042637214,0.001117486,0.00096733385,0.0028055375,0.0015734672,0.007019911,0.0027018236,0.0018386468,0.096524715],"category_scores_gemma":[0.009004777,0.0006137722,0.0011871584,0.0035687366,0.00090310647,0.007145197,0.009061878,0.0022324233,0.10490701],"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":[0.00080792786,0.00006527913,0.0018866144,0.0005942188,0.0000745113,0.00019929364,0.00027762857,0.0008673334,0.004633301,0.030004755,0.8681051,0.09248404],"study_design_scores_gemma":[0.000064248925,0.00002546894,0.0013946368,0.00009987025,0.0000090984195,0.00008668582,0.00006700095,0.0011874321,0.0017662249,0.010244107,0.9850118,0.00004335967],"about_ca_topic_score_codex":0.008522392,"about_ca_topic_score_gemma":0.008237235,"teacher_disagreement_score":0.9972982,"about_ca_system_score_codex":0.0017476045,"about_ca_system_score_gemma":0.0040081358,"threshold_uncertainty_score":0.32290733},"labels":[],"label_agreement":null},{"id":"W6902113521","doi":"10.6084/m9.figshare.23897229","title":"Additional file 3 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Breast density; Mammography; Cohort study; Table (database); MAMMOGRAPHIC DENSITY; Hazard ratio","score_opus":0.013092078066004285,"score_gpt":0.23258256074764946,"score_spread":0.21949048268164517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902113521","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066792377,0.000015845935,0.00010500342,0.00005860221,0.000009318571,0.00006445728,0.9981931,0.000073018906,0.0008127616],"genre_scores_gemma":[0.020235127,0.00014481715,0.0014446452,0.0003963231,0.00009986234,0.0016642075,0.96406144,0.0002320209,0.011721648],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993137,0.00010269881,0.00014891873,0.00016621246,0.00017078222,0.00009758554],"domain_scores_gemma":[0.98887223,0.0064530205,0.0016620669,0.0007860454,0.0019367047,0.00028997037],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093808427,0.0007724583,0.0010500111,0.0019861516,0.0007957955,0.0008776309,0.0014922951,0.00077908277,0.697852],"category_scores_gemma":[0.018605374,0.00044958832,0.0007343685,0.0037955802,0.000161919,0.0011140169,0.0007038967,0.0005590634,0.058479518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060655543,0.00015312288,0.016067034,0.0015959757,0.00012185258,0.00011082346,0.00006521253,0.00039582513,0.00012235608,0.00049857143,0.97220355,0.008058931],"study_design_scores_gemma":[0.009735131,0.0008774018,0.33184406,0.0050428063,0.0007836005,0.002013373,0.0010117698,0.0043308693,0.0013396806,0.008763531,0.6339558,0.00030200783],"about_ca_topic_score_codex":0.018865084,"about_ca_topic_score_gemma":0.02268485,"teacher_disagreement_score":0.697852,"about_ca_system_score_codex":0.0009502971,"about_ca_system_score_gemma":0.001226073,"threshold_uncertainty_score":0.4309774},"labels":[],"label_agreement":null},{"id":"W6902165974","doi":"10.6084/m9.figshare.23897226.v1","title":"Additional file 2 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Square root; MAMMOGRAPHIC DENSITY; Mammography; Cohort study; Mean squared error","score_opus":0.012882174492422016,"score_gpt":0.23243913497213545,"score_spread":0.21955696047971343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902165974","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006428189,0.000013540254,0.00015514958,0.00005725526,0.000009529139,0.00005950971,0.998166,0.000075254306,0.00082088285],"genre_scores_gemma":[0.02338381,0.00012331872,0.0019482115,0.0003935829,0.00009902154,0.0017740671,0.9591734,0.00029485556,0.012809825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928623,0.00013251045,0.00013732546,0.00018956137,0.00014625331,0.00010810167],"domain_scores_gemma":[0.9880385,0.0071367244,0.0017168794,0.0010325181,0.0017516956,0.0003236472],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011100904,0.0006790112,0.00092629035,0.0017941146,0.0006539265,0.00084465405,0.0014545668,0.00075292797,0.68778706],"category_scores_gemma":[0.02026318,0.00045178542,0.0007529122,0.0036240076,0.0001622222,0.0009799625,0.0007002008,0.0005536107,0.06556898],"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":[0.00039968773,0.00010579627,0.016872002,0.0010294319,0.00009810933,0.00008300173,0.00006130959,0.00049986684,0.00006785104,0.00062917557,0.9728257,0.007328011],"study_design_scores_gemma":[0.00697313,0.00066252565,0.30129683,0.0042572813,0.00062431995,0.0016310608,0.0009426419,0.005326839,0.0009755939,0.009065239,0.6679927,0.00025169752],"about_ca_topic_score_codex":0.01844528,"about_ca_topic_score_gemma":0.023538616,"teacher_disagreement_score":0.68778706,"about_ca_system_score_codex":0.0008954356,"about_ca_system_score_gemma":0.0012735915,"threshold_uncertainty_score":0.44533384},"labels":[],"label_agreement":null},{"id":"W6912223581","doi":"10.5281/zenodo.16583709","title":"AuroraX - an open data platform for auroral science","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Key (lock); Space Science; Data access; Space weather; Space (punctuation); Open data","score_opus":0.1276597201469378,"score_gpt":0.3368471158639795,"score_spread":0.20918739571704167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912223581","genre_codex":"dataset","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054765595,0.0036948733,0.09200969,0.0048323553,0.001975625,0.0007716129,0.33967528,0.30488995,0.24667399],"genre_scores_gemma":[0.041723706,0.0027991293,0.09949901,0.0026593502,0.0011132214,0.0012177564,0.70039374,0.063109025,0.08748513],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99702007,0.0004313672,0.000202123,0.00041532752,0.001502229,0.0004288544],"domain_scores_gemma":[0.9949444,0.0006937161,0.00029560723,0.0017377853,0.0011983918,0.0011301608],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0042637214,0.001117486,0.00096733385,0.0028055375,0.0015734672,0.007019911,0.0027018236,0.0018386468,0.096524715],"category_scores_gemma":[0.009004777,0.0006137722,0.0011871584,0.0035687366,0.00090310647,0.007145197,0.009061878,0.0022324233,0.10490701],"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":[0.00080792786,0.00006527913,0.0018866144,0.0005942188,0.0000745113,0.00019929364,0.00027762857,0.0008673334,0.004633301,0.030004755,0.8681051,0.09248404],"study_design_scores_gemma":[0.000064248925,0.00002546894,0.0013946368,0.00009987025,0.0000090984195,0.00008668582,0.00006700095,0.0011874321,0.0017662249,0.010244107,0.9850118,0.00004335967],"about_ca_topic_score_codex":0.008522392,"about_ca_topic_score_gemma":0.008237235,"teacher_disagreement_score":0.9972982,"about_ca_system_score_codex":0.0017476045,"about_ca_system_score_gemma":0.0040081358,"threshold_uncertainty_score":0.32290733},"labels":[],"label_agreement":null},{"id":"W6920837874","doi":"10.6084/m9.figshare.26698307.v1","title":"Additional file 1 of Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Calgary","funders":"","keywords":"Breast cancer; Breast disease; MAMMOGRAPHIC DENSITY; Breast density; Mammography; Table (database); Disease; Logistic regression","score_opus":0.006542835063957163,"score_gpt":0.2057640341429289,"score_spread":0.19922119907897173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920837874","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031274682,0.000014856081,0.00011843821,0.00006206586,0.000011653235,0.000061168386,0.99878436,0.000066038396,0.00056873116],"genre_scores_gemma":[0.017541604,0.000208575,0.0025543973,0.00055314146,0.00013530736,0.002551074,0.9649918,0.00036930683,0.011094848],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992762,0.00014298306,0.0001389757,0.00016967519,0.00015441705,0.00011769185],"domain_scores_gemma":[0.9820034,0.012951853,0.0016597607,0.00089567096,0.00209072,0.00039857777],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001178964,0.00095147756,0.0010495816,0.0018252097,0.00093396456,0.0012257992,0.0014872539,0.0009822181,0.8052437],"category_scores_gemma":[0.028656704,0.0005053766,0.0007972232,0.003556091,0.00016696916,0.0015088408,0.0008742798,0.0008291285,0.082313396],"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":[0.00046069917,0.00013402726,0.009736209,0.002111402,0.00009073755,0.00009947719,0.000090558344,0.0004758862,0.00008365116,0.0006904947,0.9770603,0.008966537],"study_design_scores_gemma":[0.010557331,0.0008666861,0.18793498,0.0077894963,0.00066367903,0.0018551608,0.0013318163,0.0052705514,0.0009879,0.0136394445,0.76878005,0.0003229078],"about_ca_topic_score_codex":0.017226722,"about_ca_topic_score_gemma":0.021752387,"teacher_disagreement_score":0.8052437,"about_ca_system_score_codex":0.00091209303,"about_ca_system_score_gemma":0.0015844512,"threshold_uncertainty_score":0.27779627},"labels":[],"label_agreement":null},{"id":"W6920973807","doi":"10.6084/m9.figshare.26698307","title":"Additional file 1 of Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Calgary","funders":"","keywords":"Breast cancer; Breast disease; MAMMOGRAPHIC DENSITY; Breast density; Mammography; Table (database); Disease; Logistic regression","score_opus":0.006542835063957163,"score_gpt":0.2057640341429289,"score_spread":0.19922119907897173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920973807","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031274682,0.000014856081,0.00011843821,0.00006206586,0.000011653235,0.000061168386,0.99878436,0.000066038396,0.00056873116],"genre_scores_gemma":[0.017541604,0.000208575,0.0025543973,0.00055314146,0.00013530736,0.002551074,0.9649918,0.00036930683,0.011094848],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992762,0.00014298306,0.0001389757,0.00016967519,0.00015441705,0.00011769185],"domain_scores_gemma":[0.9820034,0.012951853,0.0016597607,0.00089567096,0.00209072,0.00039857777],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001178964,0.00095147756,0.0010495816,0.0018252097,0.00093396456,0.0012257992,0.0014872539,0.0009822181,0.8052437],"category_scores_gemma":[0.028656704,0.0005053766,0.0007972232,0.003556091,0.00016696916,0.0015088408,0.0008742798,0.0008291285,0.082313396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046069917,0.00013402726,0.009736209,0.002111402,0.00009073755,0.00009947719,0.000090558344,0.0004758862,0.00008365116,0.0006904947,0.9770603,0.008966537],"study_design_scores_gemma":[0.010557331,0.0008666861,0.18793498,0.0077894963,0.00066367903,0.0018551608,0.0013318163,0.0052705514,0.0009879,0.0136394445,0.76878005,0.0003229078],"about_ca_topic_score_codex":0.017226722,"about_ca_topic_score_gemma":0.021752387,"teacher_disagreement_score":0.8052437,"about_ca_system_score_codex":0.00091209303,"about_ca_system_score_gemma":0.0015844512,"threshold_uncertainty_score":0.27779627},"labels":[],"label_agreement":null},{"id":"W6921087858","doi":"10.6084/m9.figshare.20317846.v1","title":"Additional file 1 of The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"Cancer Care Ontario; Princess Margaret Cancer Centre","funders":"","keywords":"Menarche; MAMMOGRAPHIC DENSITY; Association (psychology); Index (typography); Sensitivity (control systems); Age adjustment; Body mass index","score_opus":0.009900904911272377,"score_gpt":0.1967156459659126,"score_spread":0.18681474105464022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921087858","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003106613,0.0000270849,0.00023365585,0.000071817994,0.000019681864,0.0000741082,0.9986112,0.00010423747,0.000547426],"genre_scores_gemma":[0.022779545,0.00027102893,0.004876863,0.0009114425,0.0002171329,0.0046481374,0.9518732,0.00086422527,0.013558331],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99886876,0.0003169742,0.00019010773,0.00029164323,0.00018677844,0.00014554687],"domain_scores_gemma":[0.95621705,0.036741234,0.0022973532,0.0016053513,0.0025957148,0.0005433454],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002182703,0.0010549191,0.0015280938,0.0021549608,0.0007339389,0.0012993502,0.0018423604,0.0012321655,0.8334755],"category_scores_gemma":[0.049855646,0.0006107122,0.0012521973,0.0040908935,0.00024878193,0.0014645695,0.00085310626,0.0010609719,0.1006309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000619359,0.00015437596,0.008363931,0.0034408558,0.0001949185,0.000078615376,0.000085815234,0.00067047187,0.00006286921,0.00090393494,0.9760768,0.009348066],"study_design_scores_gemma":[0.019386722,0.0010833205,0.15861826,0.011091963,0.00168595,0.001788925,0.0010764868,0.0074843806,0.0011615047,0.020369293,0.77583677,0.00041643364],"about_ca_topic_score_codex":0.0150240455,"about_ca_topic_score_gemma":0.015555509,"teacher_disagreement_score":0.8334755,"about_ca_system_score_codex":0.00088907045,"about_ca_system_score_gemma":0.001870157,"threshold_uncertainty_score":0.23752695},"labels":[],"label_agreement":null},{"id":"W6921225101","doi":"10.60928/v4a7-v3vi","title":"Performance of solid-state image sensors in medical X-ray applications","year":2024,"lang":"en","type":"article","venue":"IISS online library","topic":"Digital Radiography and Breast Imaging","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":"Dalsa Corporation","funders":"","keywords":"Detective quantum efficiency; Image sensor; Detector; Image quality; Charge-coupled device; Medical imaging; Pixel; Focus (optics); CMOS","score_opus":0.006506803432024645,"score_gpt":0.27881810070269886,"score_spread":0.2723112972706742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921225101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31245297,0.23136306,0.36566207,0.0046048653,0.0019242828,0.0003721566,0.0016017181,0.0040981835,0.07792077],"genre_scores_gemma":[0.83407015,0.048460767,0.09447451,0.0006760711,0.00043303304,0.00010560458,0.0008375896,0.00028549752,0.020656873],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982766,0.0003643244,0.00008657978,0.00020132014,0.0010023245,0.00006877031],"domain_scores_gemma":[0.998845,0.00069127907,0.00009343203,0.000059305923,0.0002748494,0.000036127352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014908988,0.00050356326,0.00064102496,0.00049848243,0.00023136346,0.0015634111,0.0006072393,0.0015402583,0.0044361865],"category_scores_gemma":[0.0024991978,0.00040012447,0.0002922431,0.0006988948,0.00037504634,0.001310652,0.00053911825,0.0005750388,0.0030272275],"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":[0.0010233083,0.0001262755,0.0038034655,0.0033651926,0.00011239007,0.00022683422,0.00036270256,0.010787611,0.6767872,0.013781373,0.0059575867,0.28366616],"study_design_scores_gemma":[0.000023379902,0.0014211632,0.005783886,0.00038062013,0.0001555535,0.0012138777,0.00018125826,0.04406476,0.8784878,0.003189969,0.06501256,0.00008527491],"about_ca_topic_score_codex":0.00022088946,"about_ca_topic_score_gemma":0.00017299183,"teacher_disagreement_score":0.0044361865,"about_ca_system_score_codex":0.0004866971,"about_ca_system_score_gemma":0.00024871362,"threshold_uncertainty_score":0.014840543},"labels":[],"label_agreement":null},{"id":"W6921386975","doi":"10.60928/hcej-pg9k","title":"A wafer-scale CMOS APS imager for medical X-ray applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"CMOS; Detector; Image sensor; Optical fiber; CMOS sensor","score_opus":0.006716959430465206,"score_gpt":0.2911958769167187,"score_spread":0.28447891748625354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921386975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3405722,0.0039891475,0.61153316,0.0008143702,0.0005274807,0.0004957924,0.0014823606,0.0117882155,0.028797293],"genre_scores_gemma":[0.5812787,0.0011599822,0.39022848,0.00053092185,0.000136749,0.00019226047,0.0012453211,0.00034184725,0.024885843],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995308,0.000037687638,0.000014483975,0.00007710247,0.00031288055,0.000026951255],"domain_scores_gemma":[0.999749,0.000041151794,0.000050203067,0.000042115833,0.00008802195,0.000029457298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798847,0.00037953904,0.0003099216,0.00024638596,0.00016746197,0.0005299672,0.0008552713,0.00048903626,0.0030093032],"category_scores_gemma":[0.0004978556,0.0002477839,0.00029649938,0.00021795946,0.00017712575,0.0004699019,0.00044622965,0.00041195276,0.0027393494],"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":[0.000102386344,0.00003090298,0.0010716376,0.00022772363,0.000027238593,0.00018541806,0.000049901166,0.0005161531,0.9523121,0.0009486145,0.0025567897,0.041971087],"study_design_scores_gemma":[0.00004337556,0.0013810311,0.0063267094,0.000024623228,0.000091159614,0.0025597906,0.00006585534,0.008339251,0.92717135,0.00027305915,0.05368263,0.000041145482],"about_ca_topic_score_codex":0.00026661053,"about_ca_topic_score_gemma":0.00036821945,"teacher_disagreement_score":0.0030093032,"about_ca_system_score_codex":0.00025971825,"about_ca_system_score_gemma":0.00032144238,"threshold_uncertainty_score":0.010067105},"labels":[],"label_agreement":null},{"id":"W6925877189","doi":"10.20382/jocg.v13i1a12","title":"Realizations of indecomposable persistence modules of arbitrarily large dimensions","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology","keywords":"Indecomposable module; Persistent homology; Topological data analysis; Simple (philosophy); Algebraic number; Persistence (discontinuity); Algebra over a field; Representation (politics)","score_opus":0.013197855014360806,"score_gpt":0.2191340072214817,"score_spread":0.20593615220712091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925877189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86164266,0.00033152357,0.12233292,0.00035463474,0.000038108614,0.000028134202,0.00018872989,0.0002708902,0.014812427],"genre_scores_gemma":[0.98697007,0.00011783026,0.009601685,0.000041132396,0.000028972423,0.000033939516,0.00014062255,0.000038329257,0.0030275274],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99946433,0.00009159842,0.000037953545,0.000119624296,0.00015431349,0.00013221128],"domain_scores_gemma":[0.9982784,0.0007002028,0.00028198803,0.0002679121,0.00016373688,0.0003077618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005998394,0.0002827071,0.00036038004,0.0015893528,0.0008118714,0.0020812715,0.0005503608,0.00047221663,0.0039346837],"category_scores_gemma":[0.0024594553,0.0003959353,0.0005060881,0.0005353701,0.0018690126,0.0032669166,0.0024260622,0.0010043838,0.00030296014],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041115698,0.000022997618,0.0016307535,0.000040843694,0.000010487107,0.0003255404,0.00039719118,0.0031911298,0.003837746,0.98531795,0.0003005011,0.0048835995],"study_design_scores_gemma":[0.00003427145,0.00008914543,0.0020788945,0.000032890894,0.000018873716,0.0006203601,0.00043326334,0.029896228,0.005365458,0.9566674,0.00473177,0.00003142143],"about_ca_topic_score_codex":0.00025377117,"about_ca_topic_score_gemma":0.00021218517,"teacher_disagreement_score":0.0039346837,"about_ca_system_score_codex":0.00067283394,"about_ca_system_score_gemma":0.0002907224,"threshold_uncertainty_score":0.013162792},"labels":[],"label_agreement":null},{"id":"W6930009394","doi":"10.5281/zenodo.11936728","title":"steps to writing well 13th edition pdf free","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rhetorical question; Disk formatting; Craft; Writing process; Class (philosophy); Set (abstract data type); Reading (process); Typeface","score_opus":0.018756623590782784,"score_gpt":0.24781080442164088,"score_spread":0.2290541808308581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930009394","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005052842,0.0005011603,0.004705326,0.002033083,0.0059441766,0.00070164306,0.0044309106,0.019652737,0.96152574],"genre_scores_gemma":[0.0009300005,0.00032138394,0.0019372904,0.0007018064,0.00060177426,0.00018888684,0.001449539,0.00521097,0.98865825],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988212,0.0000664416,0.00007550368,0.00013871885,0.0007616364,0.00013642957],"domain_scores_gemma":[0.99294585,0.00096511235,0.00018327133,0.00092578883,0.003749944,0.0012300612],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012308136,0.001384018,0.0012000364,0.0024001992,0.0016659558,0.009546285,0.0024122533,0.0026999756,0.94157904],"category_scores_gemma":[0.012048284,0.00100324,0.0014290812,0.0017169433,0.0008031333,0.007127527,0.0038456845,0.00317813,0.9392376],"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":[0.000021791171,0.000026962476,0.000024914845,0.00008252209,0.0000014423049,0.000040341904,0.000035279638,0.000028798358,0.00031092705,0.0005317042,0.96424586,0.034649514],"study_design_scores_gemma":[0.000015445066,0.000021526128,0.00017171794,0.00007323873,0.0000023689347,0.0000688624,0.000060723058,0.000030968105,0.00031027777,0.00055110775,0.99868053,0.000013264659],"about_ca_topic_score_codex":0.0018165954,"about_ca_topic_score_gemma":0.003777089,"teacher_disagreement_score":0.058420956,"about_ca_system_score_codex":0.0009374512,"about_ca_system_score_gemma":0.001541747,"threshold_uncertainty_score":0.08333039},"labels":[],"label_agreement":null},{"id":"W6930459529","doi":"10.5281/zenodo.10855046","title":"Transform to Open Science Mission November 2023 Community Panel Summary Report","year":2024,"lang":"en","type":"report","venue":"Bristol Research (University of Bristol)","topic":"Digital Radiography and Breast Imaging","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":"University of British Columbia","funders":"","keywords":"TOPS; Open science; Suite; Citizen science; Open data; Open source","score_opus":0.21541844540512234,"score_gpt":0.4224116574220172,"score_spread":0.20699321201689486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930459529","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004705401,0.0023850007,0.002480859,0.09953848,0.02021549,0.002562553,0.1380689,0.0015877987,0.7284554],"genre_scores_gemma":[0.012653825,0.0032389045,0.0037387868,0.023787392,0.002845901,0.00224353,0.09847494,0.0008841201,0.8521326],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946768,0.0003387932,0.000110584726,0.00020556178,0.0038852205,0.00078296935],"domain_scores_gemma":[0.9881357,0.0010034576,0.0003462807,0.00037214113,0.007265076,0.002877247],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0069811023,0.00092859,0.00029712077,0.001680521,0.0026355768,0.0045265835,0.0016136587,0.005491097,0.13036007],"category_scores_gemma":[0.007913039,0.00043490776,0.00064985926,0.0019317176,0.00045999183,0.0022597075,0.0030420201,0.003515363,0.06809599],"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":[0.000014962899,0.000026554251,0.00020483433,0.000030790343,9.829005e-7,0.000026917043,0.000013487939,0.000033570344,0.00006606834,0.00034195636,0.9950323,0.0042075654],"study_design_scores_gemma":[0.000010922528,0.000017896818,0.0018176433,0.000051576935,0.0000015375063,0.000019233139,0.000110248846,0.00003871852,0.00015845447,0.00019984554,0.997566,0.0000079172005],"about_ca_topic_score_codex":0.05494206,"about_ca_topic_score_gemma":0.08361584,"teacher_disagreement_score":0.9983863,"about_ca_system_score_codex":0.0038737971,"about_ca_system_score_gemma":0.026614673,"threshold_uncertainty_score":0.43609786},"labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"agree"},{"id":"W6930636057","doi":"10.5281/zenodo.13267641","title":"Fig. 4 in Host and geographic differences in prevalence and diversity of gastrointestinal helminths of foxes (Vulpes vulpes), coyotes (Canis latrans) and wolves (Canis lupus) in Quebec´, Canada","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; University of Saskatchewan","funders":"","keywords":"Host (biology); Echinococcus; Helminths; Taenia; Diversity (politics); Cestoda; Cestode infections; Genetic diversity; Habitat","score_opus":0.01440547031659888,"score_gpt":0.20542423334815885,"score_spread":0.19101876303155996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930636057","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94370663,0.0011444736,0.0003562795,0.000379395,0.00004189973,0.000045618563,0.038540162,0.0000767979,0.015708871],"genre_scores_gemma":[0.97743773,0.0006074818,0.0005077293,0.000051438023,0.0000047896588,0.000014111409,0.008604971,0.000016143114,0.01275565],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982065,0.0000140038255,0.000008638604,0.00004796276,0.00003137266,0.000077508244],"domain_scores_gemma":[0.9995413,0.000043440676,0.00007058276,0.000012980504,0.00018396843,0.00014785831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013671475,0.00030379542,0.00015752876,0.0014036166,0.00085317745,0.0006872008,0.00039641323,0.0001950092,0.012443692],"category_scores_gemma":[0.00049651467,0.00013823813,0.0003324727,0.0015095163,0.00040449863,0.00017791656,0.00036743993,0.00028065534,0.00080305827],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026917105,0.000028363384,0.96299464,0.00014290276,0.00016795722,0.00017672444,0.0014655994,0.00023662485,0.0040542632,0.0007433284,0.012226871,0.017493509],"study_design_scores_gemma":[0.0000043743753,0.000009116616,0.9951668,0.000024020823,0.00002388723,0.00009716519,0.0015902702,0.00013354955,0.00012152394,0.000030845233,0.002793204,0.0000052116],"about_ca_topic_score_codex":0.94136626,"about_ca_topic_score_gemma":0.9823647,"teacher_disagreement_score":0.058633745,"about_ca_system_score_codex":0.002833443,"about_ca_system_score_gemma":0.0040594013,"threshold_uncertainty_score":0.11795807},"labels":[],"label_agreement":null},{"id":"W6931364456","doi":"10.5281/zenodo.5177785","title":"Figs 11–14. Boreaphilus japonicus Sharp, 1874 in New species and records of Coryphiini from China (Coleoptera: Staphylinidae: Omaliinae)","year":2020,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"China; Dorsum; Southern china; Scale (ratio); Taxonomy (biology)","score_opus":0.02346958232303782,"score_gpt":0.2333339475647211,"score_spread":0.20986436524168328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931364456","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3405592,0.013060077,0.0051401197,0.00089625485,0.0020634267,0.0014005412,0.10131451,0.0018571983,0.53370863],"genre_scores_gemma":[0.8318958,0.004057765,0.010091323,0.00032013992,0.00048245228,0.00054917944,0.089716844,0.00020620879,0.06268024],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999093,0.000011538352,0.0000073378465,0.000030457719,0.0000252009,0.00001616786],"domain_scores_gemma":[0.999884,0.000012997852,0.00005070113,0.000007503714,0.00002585279,0.000018896546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007670004,0.0007347475,0.00017412959,0.003621455,0.00056353165,0.0002301108,0.00037853108,0.00026030355,0.060916517],"category_scores_gemma":[0.00018563116,0.00021371468,0.00026918566,0.003280157,0.0005405884,0.0003894091,0.00039976265,0.0003992409,0.009883704],"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":[0.0010325307,0.00015143711,0.16721924,0.0030502377,0.00017387571,0.0015204223,0.0034781413,0.0014770931,0.02277678,0.004660961,0.33382842,0.46063083],"study_design_scores_gemma":[0.00005205198,0.000056248122,0.68411,0.0001937473,0.000033490887,0.001415888,0.00090305007,0.0003245548,0.0005358542,0.00034485673,0.31200883,0.000021420065],"about_ca_topic_score_codex":0.015288476,"about_ca_topic_score_gemma":0.03287127,"teacher_disagreement_score":0.060916517,"about_ca_system_score_codex":0.000705803,"about_ca_system_score_gemma":0.00028560532,"threshold_uncertainty_score":0.20378602},"labels":[],"label_agreement":null},{"id":"W6931549440","doi":"10.5281/zenodo.7353169","title":"MULTI-LEVEL PLANNING THEORETICAL MODEL: A PROPOSED FRAMEWORK FOR DESIGNING ADULT EDUCATION PROGRAMS FROM THE PERSPECTIVES OF ADULT EDUCATION PROFESSIONALS","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Adult education; Grounded theory; Adult Learning; Perspective (graphical); Adult learner; Higher education; Qualitative research; Reflection (computer programming)","score_opus":0.045100090777052085,"score_gpt":0.31719612338358233,"score_spread":0.27209603260653026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931549440","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024613809,0.00071052136,0.7814261,0.018971622,0.0001403395,0.003196715,0.0003456234,0.00031312203,0.17028216],"genre_scores_gemma":[0.33643907,0.0006618593,0.65000343,0.0013300049,0.00002292125,0.004788643,0.00032590015,0.000058523427,0.0063696504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98913455,0.008189431,0.00037933272,0.00080250687,0.00095560565,0.0005386104],"domain_scores_gemma":[0.9930402,0.0044423826,0.00048527078,0.00043378797,0.0009165727,0.0006817118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014351101,0.0010761715,0.0005328925,0.0037847096,0.004287968,0.007050838,0.004228936,0.002938198,0.008153838],"category_scores_gemma":[0.008429462,0.00075774087,0.0013674827,0.0036067478,0.011186362,0.0073109926,0.0044212528,0.0032425218,0.0013857827],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024991314,0.00019788762,0.0015895676,0.00048737088,0.000025292607,0.00024766402,0.04617888,0.0050452948,0.00031872038,0.9061573,0.0029747686,0.0367523],"study_design_scores_gemma":[0.0001675241,0.00025332512,0.0019269885,0.0024996335,0.0000681259,0.0004757966,0.068646014,0.030853279,0.0009292727,0.7710833,0.12301808,0.000078707766],"about_ca_topic_score_codex":0.009896027,"about_ca_topic_score_gemma":0.012918277,"teacher_disagreement_score":0.014351101,"about_ca_system_score_codex":0.012073721,"about_ca_system_score_gemma":0.021888953,"threshold_uncertainty_score":0.08760142},"labels":[],"label_agreement":null},{"id":"W6939753537","doi":"10.6084/m9.figshare.23897229.v1","title":"Additional file 3 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Breast density; Mammography; Cohort study; Table (database); MAMMOGRAPHIC DENSITY; Hazard ratio","score_opus":0.013092078066004285,"score_gpt":0.23258256074764946,"score_spread":0.21949048268164517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939753537","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066792377,0.000015845935,0.00010500342,0.00005860221,0.000009318571,0.00006445728,0.9981931,0.000073018906,0.0008127616],"genre_scores_gemma":[0.020235127,0.00014481715,0.0014446452,0.0003963231,0.00009986234,0.0016642075,0.96406144,0.0002320209,0.011721648],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993137,0.00010269881,0.00014891873,0.00016621246,0.00017078222,0.00009758554],"domain_scores_gemma":[0.98887223,0.0064530205,0.0016620669,0.0007860454,0.0019367047,0.00028997037],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093808427,0.0007724583,0.0010500111,0.0019861516,0.0007957955,0.0008776309,0.0014922951,0.00077908277,0.697852],"category_scores_gemma":[0.018605374,0.00044958832,0.0007343685,0.0037955802,0.000161919,0.0011140169,0.0007038967,0.0005590634,0.058479518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060655543,0.00015312288,0.016067034,0.0015959757,0.00012185258,0.00011082346,0.00006521253,0.00039582513,0.00012235608,0.00049857143,0.97220355,0.008058931],"study_design_scores_gemma":[0.009735131,0.0008774018,0.33184406,0.0050428063,0.0007836005,0.002013373,0.0010117698,0.0043308693,0.0013396806,0.008763531,0.6339558,0.00030200783],"about_ca_topic_score_codex":0.018865084,"about_ca_topic_score_gemma":0.02268485,"teacher_disagreement_score":0.697852,"about_ca_system_score_codex":0.0009502971,"about_ca_system_score_gemma":0.001226073,"threshold_uncertainty_score":0.4309774},"labels":[],"label_agreement":null},{"id":"W6939807479","doi":"10.6084/m9.figshare.23897232","title":"Additional file 4 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Breast density; Mammography; Cohort study; Hazard ratio; Table (database)","score_opus":0.013188817720316433,"score_gpt":0.23292989825377144,"score_spread":0.219741080533455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939807479","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078120583,0.00001887748,0.00010768931,0.00006811215,0.0000107238,0.00006657452,0.99806863,0.00006787489,0.0008103556],"genre_scores_gemma":[0.028734941,0.00017402752,0.0015865982,0.00048518248,0.00012387292,0.0018331114,0.9534096,0.00022409942,0.013428467],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934524,0.00010640327,0.00013675328,0.00015767732,0.00015071091,0.000103149156],"domain_scores_gemma":[0.9886119,0.00676975,0.0016900591,0.00076981925,0.0018704752,0.00028803284],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009098302,0.0007420559,0.0009750847,0.0017615065,0.0007450911,0.00080036,0.0014686652,0.0007954744,0.66993344],"category_scores_gemma":[0.019485088,0.0004270389,0.00081933534,0.0033228146,0.00014799701,0.0010133736,0.0006229565,0.0005771269,0.04690438],"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":[0.0006871412,0.00015677241,0.020143952,0.0015943854,0.00013667595,0.00011978195,0.00006582126,0.00048562424,0.000112836584,0.0004957017,0.96807957,0.0079218475],"study_design_scores_gemma":[0.0112715205,0.00093551975,0.40003738,0.005717545,0.00092272926,0.0020038637,0.0010605231,0.00553494,0.0013741732,0.008813621,0.56200343,0.00032470582],"about_ca_topic_score_codex":0.020880165,"about_ca_topic_score_gemma":0.025932677,"teacher_disagreement_score":0.66993344,"about_ca_system_score_codex":0.0008988365,"about_ca_system_score_gemma":0.0011620229,"threshold_uncertainty_score":0.47079986},"labels":[],"label_agreement":null},{"id":"W6950608903","doi":"10.5683/sp3/sqqjca","title":"Unveiling Chemical Industry Secrets: Insights Gleaned from Scientific Literatures that Examine Internal Chemical Corporate Documents – A Scoping Review","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"Digital Radiography and Breast Imaging","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":"Carleton University","funders":"","keywords":"Snowball sampling; Chemical industry; Pharmaceutical industry; Sociology of scientific knowledge; Scientific literature; Market research","score_opus":0.03138360988419549,"score_gpt":0.30082399353575173,"score_spread":0.26944038365155626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950608903","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013342134,0.96532524,0.004563153,0.0057764524,0.0007325301,0.003336542,0.0015784444,0.000037446942,0.005308162],"genre_scores_gemma":[0.07023316,0.90482557,0.013606784,0.0028132726,0.00041180328,0.0055898204,0.0018052004,0.000047338053,0.00066704187],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.938491,0.021771137,0.023483163,0.002681083,0.01231715,0.0012564331],"domain_scores_gemma":[0.6823465,0.25718504,0.02462104,0.006301135,0.028212437,0.0013338007],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06862665,0.0018000768,0.0045051584,0.10574225,0.002651763,0.009073335,0.0026510393,0.003746965,0.0032270974],"category_scores_gemma":[0.21396092,0.001912846,0.0037786,0.06400196,0.0039039445,0.010520208,0.005916667,0.0020147965,0.00067948113],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012148749,0.00007464768,0.0034581576,0.72337776,0.001914207,0.0013113644,0.014427183,0.00034979908,0.0011674846,0.0060619847,0.006178718,0.24155727],"study_design_scores_gemma":[0.000027297698,0.00008133406,0.002681499,0.9262654,0.0031889402,0.0005865143,0.009268466,0.00012945203,0.00051727064,0.0023867723,0.054820005,0.00004701718],"about_ca_topic_score_codex":0.0052176155,"about_ca_topic_score_gemma":0.016565897,"teacher_disagreement_score":0.93137336,"about_ca_system_score_codex":0.0070514986,"about_ca_system_score_gemma":0.036534876,"threshold_uncertainty_score":0.36293674},"labels":[],"label_agreement":null},{"id":"W6955212738","doi":"10.58079/p79c","title":"Réguler, juger et réhabiliter","year":2023,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Context (archaeology); Intrusion; Countdown","score_opus":0.02996463641101805,"score_gpt":0.27234222801344116,"score_spread":0.24237759160242311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955212738","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06137047,0.028733755,0.0066119023,0.4170019,0.0075851176,0.00022057579,0.00039562277,0.00053129037,0.4775494],"genre_scores_gemma":[0.3724407,0.020654304,0.0062581375,0.045406323,0.0019807988,0.00016266118,0.00024164391,0.00032610388,0.55252934],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971457,0.00096725085,0.00005261904,0.000282893,0.0007078988,0.0008436069],"domain_scores_gemma":[0.9974529,0.00026194906,0.0002979568,0.00012684702,0.0005691358,0.0012912732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002541544,0.0005206845,0.00040836845,0.00064756273,0.006682727,0.0055522467,0.00093728874,0.0022342666,0.026494304],"category_scores_gemma":[0.0054687355,0.00026393723,0.00027195775,0.000587818,0.007977675,0.001818806,0.004651843,0.003353302,0.0111569585],"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":[0.000060968545,0.00027139095,0.012878737,0.00047819634,0.000047915088,0.0008342922,0.065656915,0.00035638537,0.0027258971,0.093576014,0.53042436,0.29268897],"study_design_scores_gemma":[0.000008995422,0.00006593999,0.008540416,0.00043753127,0.000008046414,0.00029876886,0.017334502,0.00007049134,0.0003281944,0.004152107,0.9687275,0.000027362697],"about_ca_topic_score_codex":0.092145145,"about_ca_topic_score_gemma":0.20148434,"teacher_disagreement_score":0.092145145,"about_ca_system_score_codex":0.0055841496,"about_ca_system_score_gemma":0.021750236,"threshold_uncertainty_score":0.18321759},"labels":[],"label_agreement":null},{"id":"W6955357166","doi":"10.57974/re:visit_2023_2.12","title":"Who Cares? – Caring in Literature: the Ambivalence of Caregivers in the French Novel between 1870 and 1945","year":2024,"lang":"en","type":"report","venue":"REVISIT: Humanities & Medicine in Dialogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ambivalence; Service (business); Qualitative research; Medical care","score_opus":0.04395340227156327,"score_gpt":0.3001896863994926,"score_spread":0.25623628412792937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955357166","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5045379,0.062851824,0.0030879623,0.116097905,0.0024513253,0.000055054552,0.0002215079,0.00013253053,0.31056404],"genre_scores_gemma":[0.97956,0.003600748,0.00021371979,0.0030104117,0.00022745407,0.000013821353,0.000021409463,0.000034530603,0.013317783],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932816,0.005134624,0.000099896024,0.00031009555,0.00034223023,0.00083152],"domain_scores_gemma":[0.99584264,0.0026269204,0.0003824011,0.00011966234,0.0005519607,0.00047635747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070363497,0.00087061955,0.00053359923,0.0024842268,0.023298172,0.011557261,0.0009502251,0.0038190573,0.0036861014],"category_scores_gemma":[0.008272478,0.00039574964,0.00041578995,0.0015121223,0.03950931,0.0058968407,0.0039818087,0.004340321,0.0005130796],"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":[0.000034549164,0.000010737132,0.0006883396,0.00005079924,0.0000048480993,0.0011009584,0.85453117,0.00006198026,0.0001081161,0.13368817,0.0053865,0.0043338994],"study_design_scores_gemma":[0.0000080124755,0.000032549557,0.0015196144,0.00047150202,0.000010476452,0.0013338624,0.5628707,0.00008326997,0.00027890474,0.0080903005,0.42526317,0.000037740865],"about_ca_topic_score_codex":0.20039484,"about_ca_topic_score_gemma":0.16093786,"teacher_disagreement_score":0.20039484,"about_ca_system_score_codex":0.042187847,"about_ca_system_score_gemma":0.008483102,"threshold_uncertainty_score":0.3984568},"labels":[],"label_agreement":null},{"id":"W6955362438","doi":"10.58066/k7f9-nk81","title":"Hendrie, Doug: my Queen's Own Rifles of Canada recollections (April 19, and 20, 2010)","year":2023,"lang":"en","type":"other","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Exposition (narrative); Subject (documents)","score_opus":0.01668626525220927,"score_gpt":0.24596836985142911,"score_spread":0.22928210459921985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955362438","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008089663,0.020006223,0.0003493083,0.7973958,0.01731996,0.00016895506,0.0040749735,0.00018960997,0.15240543],"genre_scores_gemma":[0.022545895,0.006497999,0.00028156966,0.16367723,0.0008652059,0.00010439585,0.0004672221,0.00030129452,0.80525917],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99698514,0.00043689314,0.000074058684,0.00021040755,0.0011230231,0.0011705534],"domain_scores_gemma":[0.99249446,0.0010789777,0.00021790326,0.00011954903,0.002934612,0.0031544487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027361156,0.000710963,0.00063544983,0.0019092034,0.04257533,0.009564805,0.002273782,0.009451416,0.05045593],"category_scores_gemma":[0.010114482,0.0007397957,0.00048589194,0.0037148462,0.006288045,0.0039791656,0.00415052,0.014027019,0.010480241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070980886,0.000005092124,0.00030828826,0.000022135788,0.0000012607258,0.0001287342,0.008908268,0.000011123643,0.000031254145,0.0010412511,0.9871809,0.0023545711],"study_design_scores_gemma":[0.0000018014998,0.0000017596421,0.000994261,0.000078388744,0.0000015796409,0.000047884867,0.035368986,0.0000075812345,0.000032834887,0.00013240059,0.9633168,0.00001571138],"about_ca_topic_score_codex":0.97804344,"about_ca_topic_score_gemma":0.9927747,"teacher_disagreement_score":0.059118163,"about_ca_system_score_codex":0.059118163,"about_ca_system_score_gemma":0.093215495,"threshold_uncertainty_score":0.42893434},"labels":[],"label_agreement":null},{"id":"W6955369478","doi":"10.58079/12dk","title":"Agent(e) de recherche — Observatoire interuniversitaire sur les pratiques innovantes d’évaluation des apprentissages (OPIEVA)","year":2019,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ethnomethodology; Order (exchange); Blacklist","score_opus":0.09183906979720671,"score_gpt":0.3100141946833552,"score_spread":0.2181751248861485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955369478","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014855901,0.009160039,0.09533585,0.04599138,0.0027853034,0.0014909458,0.005109198,0.00866882,0.8166026],"genre_scores_gemma":[0.13937102,0.005783636,0.08512961,0.005754049,0.0009924083,0.0014499231,0.0051534167,0.0028800208,0.75348586],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9841839,0.0061093885,0.0008051068,0.0018879989,0.005194756,0.0018189186],"domain_scores_gemma":[0.9540243,0.010780098,0.0030131736,0.0053354646,0.01680856,0.010038505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021455394,0.0008129203,0.0010220942,0.0022378508,0.0035902916,0.011282552,0.0019504608,0.0038364031,0.08966074],"category_scores_gemma":[0.027046679,0.00067580293,0.00066337956,0.0021371096,0.0028054148,0.0044228546,0.008408567,0.0034426341,0.03312012],"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":[0.00071490736,0.0004481723,0.0074444558,0.00067124405,0.000059572798,0.00042045917,0.0037213902,0.0012141435,0.0040308842,0.13804354,0.44722176,0.39600956],"study_design_scores_gemma":[0.000045815403,0.00006191633,0.0026103475,0.00016448642,0.00000775833,0.00009339124,0.000519082,0.00088405627,0.0013441825,0.0034857944,0.9907479,0.000035148325],"about_ca_topic_score_codex":0.08952675,"about_ca_topic_score_gemma":0.061258975,"teacher_disagreement_score":0.08966074,"about_ca_system_score_codex":0.009714754,"about_ca_system_score_gemma":0.029581733,"threshold_uncertainty_score":0.29994506},"labels":[],"label_agreement":null},{"id":"W6955382952","doi":"10.58079/1307e","title":"Parfumé (November 14 – December 5, 2024) Curated by Venus Nwaokoro &amp; Maggie Shook - Cohen Commons, John Labatt Visual Arts Centre, Western University, London (Ontario), Canada - Exhibition review by Alena Robin","year":2025,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Venus; The arts; Face (sociological concept); Painting","score_opus":0.01646105262873606,"score_gpt":0.24525706169483216,"score_spread":0.2287960090660961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955382952","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009050206,0.19609772,0.0009324032,0.03845567,0.17989917,0.0004961133,0.006104318,0.0013090655,0.57580054],"genre_scores_gemma":[0.0021486015,0.030469852,0.00022368022,0.007068628,0.008582395,0.00012351983,0.0013584831,0.00019016564,0.94983464],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968696,0.00004060248,0.000013675667,0.000059235354,0.00013158705,0.00006800901],"domain_scores_gemma":[0.9991492,0.00011148715,0.00007545454,0.000040388597,0.00034203287,0.00028148488],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005936111,0.00080750784,0.0005182128,0.0008872147,0.00091496314,0.001881361,0.0009693741,0.0018666923,0.5493241],"category_scores_gemma":[0.0022469673,0.0002930318,0.0004508529,0.00072557526,0.00040021085,0.002132769,0.0025681183,0.0019310116,0.26789728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017743983,0.000004226032,0.000022245587,0.00021633631,0.0000014815145,0.000030828378,0.000014034838,0.0000069392863,0.00007765754,0.0001627518,0.9715409,0.027904734],"study_design_scores_gemma":[0.0000023704986,0.000007266825,0.00022626555,0.000195495,7.5032466e-7,0.000043689735,0.000019364494,0.000003281036,0.000020441807,0.000029888919,0.99944943,0.0000017321648],"about_ca_topic_score_codex":0.004880593,"about_ca_topic_score_gemma":0.019820428,"teacher_disagreement_score":0.9951194,"about_ca_system_score_codex":0.0006844303,"about_ca_system_score_gemma":0.0008071031,"threshold_uncertainty_score":0.6428344},"labels":[],"label_agreement":null},{"id":"W6955562478","doi":"10.58098/lffl/2023/1/783","title":"La cocréation et l’expérimentation, avec huit enseignant.e.s chercheur.e.s","year":2023,"lang":"fr","type":"article","venue":"leseforum.ch","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Appropriation; Context (archaeology); Volunteer work; Digital inclusion","score_opus":0.027832555298693423,"score_gpt":0.3199151508065805,"score_spread":0.29208259550788707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955562478","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044401888,0.03752206,0.054876816,0.19630742,0.0033080317,0.00040258706,0.00018938028,0.00040949255,0.66258234],"genre_scores_gemma":[0.58750135,0.020648887,0.04310714,0.022863097,0.0007395669,0.00090282364,0.0001634002,0.0005310925,0.32354262],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9739966,0.017943585,0.00052814,0.0026559636,0.0039974716,0.0008782724],"domain_scores_gemma":[0.9717587,0.015147687,0.0016665609,0.004996077,0.0042918725,0.0021391425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020789186,0.00080735545,0.000773288,0.0018545832,0.0073384903,0.013445796,0.0015786188,0.0044833547,0.015146339],"category_scores_gemma":[0.024228709,0.00045705965,0.000783144,0.0019482716,0.0422569,0.012325949,0.0097562475,0.005530403,0.0038601407],"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":[0.000063600746,0.000099046345,0.0020838338,0.00046563376,0.000030796404,0.0003554985,0.056851,0.000312793,0.0013712558,0.78388447,0.031668317,0.12281374],"study_design_scores_gemma":[0.000018090917,0.00012805323,0.0018664848,0.0011249931,0.00002070612,0.00028509976,0.023717983,0.00033510342,0.0011857516,0.10012578,0.87115204,0.000039856404],"about_ca_topic_score_codex":0.01912146,"about_ca_topic_score_gemma":0.023151226,"teacher_disagreement_score":0.020789186,"about_ca_system_score_codex":0.010260827,"about_ca_system_score_gemma":0.019834356,"threshold_uncertainty_score":0.10994506},"labels":[],"label_agreement":null},{"id":"W6955713349","doi":"10.58079/w9ve","title":"Edward Boleyn the Younger: The Lost Cousin of Anne Boleyn","year":2024,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cousin; Scholarship; Tempest; Historical demography; Research methodology","score_opus":0.019982084920045596,"score_gpt":0.24927515369528203,"score_spread":0.22929306877523642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955713349","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15865539,0.15352607,0.001040995,0.59702694,0.020475319,0.00005134917,0.0001350876,0.000071940565,0.069016926],"genre_scores_gemma":[0.45807853,0.124653995,0.0014358588,0.1920294,0.005888823,0.000052906842,0.00007825987,0.00017202574,0.21761017],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999566,0.00012147007,0.000020798607,0.00007340307,0.00012491047,0.0000934033],"domain_scores_gemma":[0.99876875,0.0002744918,0.0000988606,0.000028913379,0.00022924242,0.00059977797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012949716,0.0002922531,0.000500209,0.0005707665,0.006473256,0.0021761658,0.0005314329,0.0012136706,0.007670559],"category_scores_gemma":[0.0042916136,0.00026899402,0.00013247215,0.00044986547,0.0025867256,0.0026668734,0.0019734062,0.0055938596,0.0016270578],"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":[0.00014159016,0.00014996748,0.021739867,0.0004593322,0.000030021196,0.032355197,0.17219834,0.00012736535,0.0013028263,0.021377899,0.6097401,0.14037742],"study_design_scores_gemma":[0.0000061196693,0.000081152015,0.009413112,0.0013219324,0.000013803494,0.031283714,0.14481874,0.000045337933,0.00028807155,0.0035068337,0.80916476,0.000056385237],"about_ca_topic_score_codex":0.031602282,"about_ca_topic_score_gemma":0.08453051,"teacher_disagreement_score":0.031602282,"about_ca_system_score_codex":0.0017737758,"about_ca_system_score_gemma":0.0029417987,"threshold_uncertainty_score":0.06283671},"labels":[],"label_agreement":null},{"id":"W6955717284","doi":"10.58079/oo85","title":"colloque/panel ACHS/FABRIQ'AM (04/06/2016): \"Mise en patrimoine et recomposition de rA�gimes de savoir\"","year":2016,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Field (mathematics); Perspective (graphical); Identification (biology); Set (abstract data type)","score_opus":0.016560316260106196,"score_gpt":0.25956775396209086,"score_spread":0.24300743770198466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955717284","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013642223,0.056521736,0.0016582811,0.4400995,0.1772523,0.0013945468,0.013383309,0.0004356401,0.29561254],"genre_scores_gemma":[0.038713314,0.010128163,0.00079834793,0.019221578,0.016430264,0.00048924884,0.0026435924,0.0003144794,0.91126096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981154,0.00029377532,0.00007735407,0.00027742906,0.0007203096,0.0005157186],"domain_scores_gemma":[0.99605227,0.0008958943,0.0003348528,0.000168605,0.0016287635,0.00091960136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044054887,0.0008823868,0.0005797846,0.0012806832,0.0051051076,0.0039912337,0.001713403,0.0057698535,0.11672392],"category_scores_gemma":[0.0052847974,0.00042408344,0.0007149173,0.0011349325,0.0016081532,0.0020546664,0.004011977,0.0039329203,0.02046088],"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":[0.000060491584,0.00001293229,0.00028979444,0.00012186493,0.0000023054045,0.00008846098,0.0006525333,0.0000151361,0.00058079377,0.00079458824,0.9892067,0.00817436],"study_design_scores_gemma":[0.0000081208855,0.000012883876,0.0025556087,0.00014433406,0.0000019345903,0.00003422782,0.00073153805,0.000011555674,0.000242319,0.00017385057,0.99607664,0.000007083986],"about_ca_topic_score_codex":0.080768906,"about_ca_topic_score_gemma":0.18944511,"teacher_disagreement_score":0.11672392,"about_ca_system_score_codex":0.006461359,"about_ca_system_score_gemma":0.0074169342,"threshold_uncertainty_score":0.39048046},"labels":[],"label_agreement":null},{"id":"W6955817961","doi":"10.5883/ds-aleochar","title":"Eastern Canadian Aleocharines","year":2017,"lang":"en","type":"dataset","venue":"Barcode of Life Data Systems","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Natural (archaeology); Population","score_opus":0.0771608974137184,"score_gpt":0.32711744833074935,"score_spread":0.24995655091703095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6955817961","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033508951,0.00019500048,0.00009111282,0.000089223926,0.000023718634,0.000017001164,0.99387395,0.00014997416,0.0022092233],"genre_scores_gemma":[0.0051629096,0.00023281778,0.00027408972,0.0000562817,0.000009381311,0.000045589397,0.9898608,0.000048152277,0.0043100505],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99955183,0.000022712964,0.000026712843,0.00010042862,0.00014475477,0.00015359606],"domain_scores_gemma":[0.99874747,0.00012196828,0.00008991782,0.0001470214,0.00074240664,0.0001511689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039784785,0.0014656424,0.00071896403,0.0036680365,0.0014691338,0.0013126107,0.0015995471,0.000832005,0.015873322],"category_scores_gemma":[0.0021119276,0.0004340254,0.00081203156,0.008344186,0.0004805704,0.00035355182,0.0010303599,0.0007445481,0.012634563],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002137078,0.000032437893,0.01346194,0.000477274,0.00012174254,0.00018938609,0.00016272007,0.0011906759,0.00034469579,0.0007718762,0.97126174,0.011771885],"study_design_scores_gemma":[0.00012052597,0.000010929662,0.10451922,0.0003343965,0.00010625725,0.00013489337,0.00063457846,0.0009812585,0.00058572664,0.00049540214,0.89202136,0.000055428067],"about_ca_topic_score_codex":0.9578615,"about_ca_topic_score_gemma":0.9793185,"teacher_disagreement_score":0.042138517,"about_ca_system_score_codex":0.005928711,"about_ca_system_score_gemma":0.013759115,"threshold_uncertainty_score":0.0847733},"labels":[],"label_agreement":null},{"id":"W6956890608","doi":"10.60510/awfwi03689","title":"IGSN AWFWI03689 (EN22065-TG06): Individual Sample (Biology, leaf for DNA analyses) of sample EN22065-T06 from Northern Rocky Mountains, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); DNA","score_opus":0.033563093721372735,"score_gpt":0.30045200447288073,"score_spread":0.266888910751508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6956890608","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047807135,0.000088926216,0.0017579506,0.00010953948,0.000074334086,0.00020545351,0.944711,0.0016703882,0.04660167],"genre_scores_gemma":[0.0042184647,0.000098485565,0.0037880815,0.00011818334,0.00002138401,0.00032297193,0.9530396,0.0015820118,0.036810733],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886525,0.000052915824,0.00006223346,0.00031729823,0.00038136076,0.00032094412],"domain_scores_gemma":[0.99705076,0.00016304842,0.00017114301,0.00064286415,0.0014968708,0.00047520985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012578646,0.0014055562,0.0011537068,0.006811834,0.0034088227,0.0018355227,0.002826048,0.0012759003,0.22326316],"category_scores_gemma":[0.0026135424,0.00092577684,0.0004287188,0.011539724,0.0006356345,0.0005707121,0.0017182032,0.0009732271,0.18611537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024475588,0.000058467893,0.005838902,0.0003847174,0.00002166818,0.00010872066,0.0004426706,0.00015932921,0.0053648986,0.0011735534,0.9471453,0.039056916],"study_design_scores_gemma":[0.000055225384,0.000019262548,0.039881088,0.00015866739,0.00003369729,0.00012588521,0.0002971852,0.00013817825,0.0023678322,0.00054445077,0.95634466,0.0000338166],"about_ca_topic_score_codex":0.5694295,"about_ca_topic_score_gemma":0.7765843,"teacher_disagreement_score":0.43057048,"about_ca_system_score_codex":0.0039691394,"about_ca_system_score_gemma":0.009683052,"threshold_uncertainty_score":0.86621237},"labels":[],"label_agreement":null},{"id":"W6956915747","doi":"10.60510/awfwi02928","title":"IGSN AWFWI02928 (EN22071-T09): Individual Sample (Biology, plant - Abies lasiocarpa) from Fort Nelson River lowlands, British Columbia, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Hydrology (agriculture); Vegetation (pathology); Population","score_opus":0.017152501054299607,"score_gpt":0.24210932556704495,"score_spread":0.22495682451274535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6956915747","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004815497,0.00012538944,0.0008010416,0.00010421106,0.00005595711,0.00017809251,0.9494221,0.0007562377,0.043741398],"genre_scores_gemma":[0.005601135,0.00018280663,0.00255919,0.00011085901,0.000022536447,0.00030149092,0.9172009,0.00088642014,0.073134616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917966,0.000032202628,0.000053702915,0.00017143077,0.00032643726,0.00023653678],"domain_scores_gemma":[0.99649686,0.00014438474,0.00017958148,0.0004505916,0.0023116504,0.0004169155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007639541,0.0010928857,0.000871582,0.0077312677,0.0024728265,0.0016531416,0.0021811032,0.00083396037,0.20442188],"category_scores_gemma":[0.0026599448,0.0006858348,0.00033028368,0.012829503,0.0004833003,0.0004994434,0.0015162922,0.00071795547,0.15720883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013054154,0.00003325324,0.006227029,0.00028764326,0.000013534921,0.00007879081,0.00028759855,0.000092081355,0.0015532158,0.0007032031,0.9593704,0.031222735],"study_design_scores_gemma":[0.00003294146,0.000013775788,0.064484425,0.00013893536,0.000023804447,0.00012432261,0.0004075546,0.00010762448,0.00092049385,0.0003541828,0.9333669,0.000025012787],"about_ca_topic_score_codex":0.74444383,"about_ca_topic_score_gemma":0.8647786,"teacher_disagreement_score":0.25555617,"about_ca_system_score_codex":0.0039259195,"about_ca_system_score_gemma":0.010106221,"threshold_uncertainty_score":0.68385935},"labels":[],"label_agreement":null},{"id":"W6956934912","doi":"10.60510/awfwi03118","title":"IGSN AWFWI03118 (EN22011-TG05): Individual Sample (Biology, leaf for DNA analyses) of sample EN22011-T05 from Mackenzie Delta (Anderson Plain), Northwest Territories, CA","year":2024,"lang":"en","type":"other","venue":"GFZ IGSN Sample Catalogue","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Delta; DNA","score_opus":0.0506562759636816,"score_gpt":0.31683461636812,"score_spread":0.2661783404044384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6956934912","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060434816,0.000058201487,0.0023804537,0.000096774114,0.000065317916,0.0002581022,0.94474506,0.0014056595,0.044946857],"genre_scores_gemma":[0.003450937,0.00006169316,0.005325218,0.00011003995,0.000020426089,0.00037994623,0.9656691,0.0011415047,0.02384122],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990533,0.000058913676,0.00006896718,0.0002812322,0.00034104768,0.00019652936],"domain_scores_gemma":[0.9974923,0.00016419034,0.00020061807,0.00063033466,0.001177537,0.00033495657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180097,0.001068294,0.00075374736,0.005789074,0.0016867475,0.0011925634,0.0022294172,0.001040899,0.18842718],"category_scores_gemma":[0.0024332404,0.00077049795,0.00038997547,0.008234092,0.00049266464,0.0005484745,0.0015970842,0.00065602415,0.19477504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026205124,0.000082094935,0.010193796,0.00034937647,0.000020228605,0.00009718428,0.0003930154,0.00018364903,0.007533721,0.0013776567,0.93116134,0.04834595],"study_design_scores_gemma":[0.00005503311,0.000029897108,0.041915476,0.000110460714,0.000023142653,0.00013942624,0.00024752703,0.00013627126,0.002893469,0.0004912388,0.9539362,0.00002179623],"about_ca_topic_score_codex":0.15405886,"about_ca_topic_score_gemma":0.31520817,"teacher_disagreement_score":0.8459411,"about_ca_system_score_codex":0.0018597036,"about_ca_system_score_gemma":0.004587412,"threshold_uncertainty_score":0.6303517},"labels":[],"label_agreement":null},{"id":"W6957450131","doi":"10.60692/bhyyk-fvd09","title":"Effects of gait retraining with focus on impact versus gait retraining with focus on cadence on pain, function and lower limb kinematics in runners with patellofemoral pain: Protocol of a randomized, blinded, parallel group trial with 6-month follow-up","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"Running Injury Clinic; University of British Columbia","funders":"","keywords":"Cadence; Gait; Kinematics; Ankle; Rehabilitation; Sagittal plane; Retraining; Randomized controlled trial","score_opus":0.02420901183245813,"score_gpt":0.2419933528751176,"score_spread":0.21778434104265948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957450131","genre_codex":"empirical","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7002729,0.0015693723,0.0020909663,0.00043638286,0.0011044688,0.2903185,0.0014302713,0.00030830785,0.0024688868],"genre_scores_gemma":[0.42690825,0.002194908,0.009263517,0.0007571012,0.0010967413,0.5540974,0.0010833258,0.000060639763,0.0045380783],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99590945,0.0017284323,0.00056391215,0.0006017562,0.00052989053,0.00066656066],"domain_scores_gemma":[0.9969132,0.0008408246,0.0006141171,0.00034227062,0.0004277957,0.00086173665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045504794,0.0035095934,0.008323186,0.002130716,0.0013595406,0.0013983953,0.0029296458,0.0049429783,0.011100358],"category_scores_gemma":[0.0056307404,0.0015673074,0.0028688344,0.0012949827,0.0019229695,0.0014367296,0.0012584338,0.003394623,0.0020421408],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9176817,0.07044424,0.00015669785,0.00082347845,0.0003023961,0.000023974748,0.000044797947,0.000405771,0.00277979,0.00008752237,0.00020357926,0.0070461],"study_design_scores_gemma":[0.770311,0.22696246,0.0008459782,0.000046448444,0.00023582597,0.000008495164,0.000016685375,0.00029120897,0.00077813887,0.00008857248,0.00039618602,0.000019026606],"about_ca_topic_score_codex":0.0011760948,"about_ca_topic_score_gemma":0.0014581514,"teacher_disagreement_score":0.011100358,"about_ca_system_score_codex":0.00093910785,"about_ca_system_score_gemma":0.002899519,"threshold_uncertainty_score":0.03713435},"labels":[],"label_agreement":null},{"id":"W6957522880","doi":"10.6068/dp14ba8db3dca35","title":"Trend 2000 - 2007. Statistics Canada. CANSIM: Information and Communications Technology - Business and Government Internet Use | Country: Canada | Table: Survey of electronic commerce and technology, use of information and communication technologies, by North American Industry Classification System (NAICS) | Variable: Enterprises that are presently using it, Advertising, public relations, and related services, Intranet | Units: %, 2000-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-125.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business statistics; Official statistics; Economic statistics; The Internet; Government (linguistics); Information and Communications Technology; Descriptive statistics; Intranet; Information technology; Social statistics","score_opus":0.023239498799214168,"score_gpt":0.233192183650609,"score_spread":0.20995268485139484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957522880","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000068875626,0.000048697064,0.00001884983,0.000114772505,0.000027359805,0.000015324571,0.9989857,0.00004050491,0.00068003254],"genre_scores_gemma":[0.00077854446,0.00024116469,0.00024845917,0.00012499379,0.00001875233,0.00011047433,0.995169,0.000060643455,0.0032480138],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99519074,0.0002657359,0.0005105466,0.00054316473,0.0024210417,0.0010689006],"domain_scores_gemma":[0.9581431,0.0012936929,0.0012891004,0.0009246884,0.036678523,0.0016708692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00203605,0.0024479507,0.0027851372,0.0104220705,0.0036173451,0.0048743766,0.005268778,0.0015207067,0.0625657],"category_scores_gemma":[0.01846052,0.0016514238,0.0021630002,0.04818066,0.0006592705,0.0025358915,0.0025036274,0.0032858835,0.04244785],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020804458,0.000007814979,0.0013606715,0.00025285315,0.000021659516,0.000006419225,0.000022637925,0.000094356365,0.000007388159,0.0003257507,0.99651176,0.0013678559],"study_design_scores_gemma":[0.00016325309,0.000016917415,0.04163541,0.0010355456,0.000096811644,0.00002938669,0.0007826857,0.0005423615,0.00020631948,0.0006151626,0.9547787,0.00009743138],"about_ca_topic_score_codex":0.9937953,"about_ca_topic_score_gemma":0.99248636,"teacher_disagreement_score":0.0625657,"about_ca_system_score_codex":0.050438147,"about_ca_system_score_gemma":0.14502808,"threshold_uncertainty_score":0.36595613},"labels":[],"label_agreement":null},{"id":"W6957540892","doi":"10.60692/262m9-66m40","title":"The World Heart Federation Roadmap for Nonvalvular Atrial Fibrillation","year":2017,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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; Foothills Medical Centre; University of Calgary; Alberta Health Services","funders":"","keywords":"Atrial fibrillation; Observational study; Epidemiology; World wide; Global health; Public health; Heart disease; Control (management)","score_opus":0.03289143945099401,"score_gpt":0.26026032699077484,"score_spread":0.22736888753978082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957540892","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030853879,0.14535803,0.013637552,0.22939208,0.066888236,0.0028905189,0.15920214,0.004865532,0.37468043],"genre_scores_gemma":[0.04180731,0.2270368,0.07458473,0.052500248,0.037007377,0.010931842,0.3245244,0.00314703,0.22846033],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963787,0.0009573616,0.0005535154,0.00029214562,0.0010464013,0.0007719094],"domain_scores_gemma":[0.9793549,0.00492598,0.0021107763,0.00060961477,0.008540281,0.0044583995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008432328,0.0015413733,0.0020908387,0.005894024,0.0010362037,0.0031817453,0.0021890013,0.003050679,0.096670024],"category_scores_gemma":[0.023071278,0.0005755466,0.0023325658,0.0040258095,0.00082752696,0.0027609328,0.0035392765,0.0052114017,0.051929545],"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":[0.00009552373,0.000043480806,0.0006865817,0.0014136771,0.00003693573,0.0000692463,0.00007487668,0.00012648839,0.000063602245,0.0033378217,0.8832093,0.110842474],"study_design_scores_gemma":[0.0002284468,0.000120550976,0.008385903,0.0048284377,0.00012788345,0.00022999318,0.00019428026,0.00019656551,0.00008382157,0.004165888,0.98139143,0.000046746987],"about_ca_topic_score_codex":0.019297767,"about_ca_topic_score_gemma":0.013516772,"teacher_disagreement_score":0.096670024,"about_ca_system_score_codex":0.0020107909,"about_ca_system_score_gemma":0.023627857,"threshold_uncertainty_score":0.32339346},"labels":[],"label_agreement":null},{"id":"W6957569903","doi":"10.60692/43m4x-ya868","title":"Search for pair production of massive particles decaying into three quarks with the ATLAS detector in $ \\sqrt{s}=7\\;\\mathrm{TeV} $ pp collisions at the LHC","year":2012,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"Université de Montréal; Institute of Particle Physics; University of Victoria; University of Toronto","funders":"","keywords":"Gluino; Large Hadron Collider; Pair production; Invariant mass; Lightest Supersymmetric Particle; Hadron; ATLAS experiment; Atlas (anatomy); Top quark","score_opus":0.03148573047116075,"score_gpt":0.24095396390650517,"score_spread":0.20946823343534443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957569903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941598,0.000067413086,0.0037276242,0.00003164829,0.0000022565819,0.0000234433,0.00016581824,0.000083679515,0.0017382989],"genre_scores_gemma":[0.99431807,0.000029018707,0.0046988996,0.000021464457,0.0000033563988,0.000009614432,0.0003035613,0.000009508169,0.00060670474],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992873,0.00024027588,0.00003253493,0.00012953274,0.00019976946,0.00011062102],"domain_scores_gemma":[0.998931,0.00053192815,0.00017398965,0.00007925575,0.00008933929,0.00019448933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016247714,0.00055376504,0.0007882858,0.0012897563,0.0006775461,0.0013001894,0.00074171193,0.00069572753,0.0025325504],"category_scores_gemma":[0.0012748933,0.0004155823,0.00044112824,0.0018793152,0.0003227096,0.0004794537,0.00073540496,0.0002538636,0.0005400849],"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":[0.007858651,0.00081315974,0.58278865,0.00018432314,0.00036147618,0.005587324,0.0004605627,0.008591341,0.3577065,0.012044514,0.00116377,0.022439716],"study_design_scores_gemma":[0.0010056798,0.005756018,0.2612389,0.00002631205,0.0006225155,0.0066972277,0.0007326171,0.15466677,0.5579848,0.0077146143,0.003374099,0.0001803746],"about_ca_topic_score_codex":0.0011426356,"about_ca_topic_score_gemma":0.0018955168,"teacher_disagreement_score":0.0025325504,"about_ca_system_score_codex":0.0005183178,"about_ca_system_score_gemma":0.0006509037,"threshold_uncertainty_score":0.008592725},"labels":[],"label_agreement":null},{"id":"W6957607491","doi":"10.60692/m8zxw-fjn25","title":"Advocacy at the Eighth World Congress of Pediatric Cardiology and Cardiac Surgery","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"St. Thomas Hospital; SickKids Foundation; Hospital for Sick Children; McGill University Health Centre","funders":"","keywords":"Call to action; Cardiac surgery; Action (physics); Global health; Health care; Interventional cardiology","score_opus":0.027790991315480414,"score_gpt":0.22198274882679217,"score_spread":0.19419175751131176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957607491","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002756721,0.017275065,0.0009733525,0.65876514,0.13522117,0.00022862227,0.000710925,0.0002039958,0.18386498],"genre_scores_gemma":[0.07034097,0.05616068,0.0061683008,0.35088634,0.12051224,0.0006702597,0.0019868526,0.0009060371,0.39236838],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925695,0.0022773666,0.0003177082,0.0005065266,0.00320133,0.0011275739],"domain_scores_gemma":[0.97752875,0.004547708,0.0014310366,0.0006226505,0.0070906915,0.00877931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010543796,0.0008063725,0.00054075255,0.0013474263,0.0035492172,0.007814784,0.0009614405,0.006149645,0.07008304],"category_scores_gemma":[0.023080865,0.0003202543,0.0008380086,0.0010416057,0.0014424071,0.003630694,0.0042842985,0.009969798,0.020262068],"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":[0.000012283132,0.00002655108,0.0006777056,0.00009551787,0.000005742484,0.0001141059,0.00034891837,0.00002052644,0.00010688857,0.0027199727,0.97124654,0.024625147],"study_design_scores_gemma":[0.000007747354,0.000013317011,0.00094734156,0.00033470776,0.000006163784,0.00008161869,0.0004951203,0.000021549944,0.00008534735,0.00044940034,0.9975472,0.0000104867995],"about_ca_topic_score_codex":0.004402969,"about_ca_topic_score_gemma":0.012613547,"teacher_disagreement_score":0.07008304,"about_ca_system_score_codex":0.0036497996,"about_ca_system_score_gemma":0.011492862,"threshold_uncertainty_score":0.23445112},"labels":[],"label_agreement":null},{"id":"W6957640387","doi":"10.6068/dp14ba8fef21174","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Labor - Workplace Organization, Innovation and Performance | Country: Canada | Table: Survey of innovation, selected service industries, percentage of full-time employees who were involved in research and development activities | Variable: Software publishers, 75% to 100% of full-time employees who were involved in research and development activities, Innovative business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-147.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Earnings; Economic statistics; Work (physics); Service (business); Summary statistics; Official statistics; Product (mathematics)","score_opus":0.06912485217909402,"score_gpt":0.28910283340572035,"score_spread":0.21997798122662632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957640387","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050599672,0.000030173496,0.000010898746,0.00007724798,0.000016520882,0.000010175959,0.99937075,0.000030513776,0.00040321212],"genre_scores_gemma":[0.0006611685,0.00015700115,0.00019191674,0.00010147579,0.000013609044,0.00010625093,0.9964804,0.00005197949,0.0022361719],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9945425,0.0003081223,0.0006573821,0.00062082347,0.0025590174,0.0013122081],"domain_scores_gemma":[0.9469183,0.0020455734,0.0015795317,0.0012644058,0.046214093,0.0019780833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024815118,0.0025199747,0.0030073952,0.0090072965,0.0033376303,0.0052263965,0.0057174945,0.0017063933,0.07296188],"category_scores_gemma":[0.021561293,0.0017787818,0.002304111,0.049545273,0.0007173141,0.0021798231,0.002467023,0.0035982034,0.049317732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025441517,0.000009677863,0.0014045412,0.0002766228,0.000019615052,0.0000057626808,0.00002018868,0.000109926594,0.0000073698216,0.00017861131,0.99678385,0.0011584566],"study_design_scores_gemma":[0.00030223845,0.000018512565,0.053665526,0.0011986496,0.00010118884,0.00002570742,0.0007714327,0.0005197969,0.00020967114,0.00055447675,0.94251937,0.00011341716],"about_ca_topic_score_codex":0.9935336,"about_ca_topic_score_gemma":0.9911447,"teacher_disagreement_score":0.94717115,"about_ca_system_score_codex":0.052828874,"about_ca_system_score_gemma":0.1260005,"threshold_uncertainty_score":0.38330215},"labels":[],"label_agreement":null},{"id":"W6957765425","doi":"10.60692/3s0wh-jhs12","title":"Editorial: Cardiovascular and Physical Health in Severe Mental Illness","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"Diabetes Canada; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Mental illness; Physical illness; Physical health; Disease; Mental health","score_opus":0.0123719283906646,"score_gpt":0.21917173687970226,"score_spread":0.20679980848903767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957765425","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044334905,0.0017316277,0.00004940452,0.023225056,0.9734153,0.000021672382,0.000100070545,0.000060410923,0.0013520854],"genre_scores_gemma":[0.00040049103,0.0014665981,0.00004122383,0.010011021,0.98294914,0.000018290399,0.000042102532,0.000016836333,0.005054312],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99717677,0.00044857606,0.00037513548,0.00046480895,0.0012654968,0.00026913907],"domain_scores_gemma":[0.9843924,0.005603995,0.0008895079,0.00038582657,0.0056449403,0.0030832924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046125683,0.0050648763,0.0042113545,0.004155113,0.0031459613,0.006169121,0.003854501,0.014998037,0.0388272],"category_scores_gemma":[0.020285096,0.0013560421,0.0032872406,0.001250865,0.0019152381,0.003926604,0.0014052163,0.013850219,0.02280845],"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":[0.00005597249,0.000014042105,0.00003425405,0.00015191732,0.000016175023,0.00013197787,0.0000066241014,0.000017558541,0.000026398895,0.0001121362,0.99640095,0.0030320075],"study_design_scores_gemma":[0.000271882,0.00009402909,0.0013200397,0.0010519177,0.00014113636,0.00084692356,0.000095183765,0.00032621418,0.00017342826,0.0013339636,0.9942959,0.00004938389],"about_ca_topic_score_codex":0.0017153118,"about_ca_topic_score_gemma":0.0036592395,"teacher_disagreement_score":0.0388272,"about_ca_system_score_codex":0.0023304361,"about_ca_system_score_gemma":0.0021246609,"threshold_uncertainty_score":0.12988997},"labels":[],"label_agreement":null},{"id":"W6957775049","doi":"10.6068/dp14ba808373031","title":"Trend 2007 - 2010. Statistics Canada. CANSIM: Business, Consumer and Property Services - Personal Services | Country: Canada | Table: Personal services, operating expenses, by North American Industry Classification System (NAICS) | Variable: Rental and leasing, Other personal services | Units: %, 2007-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-012.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Descriptive statistics; Economic statistics; Renting; Official statistics; Summary statistics; Socioeconomic status; Service (business); Personal income","score_opus":0.019599865999101865,"score_gpt":0.23197030178271313,"score_spread":0.21237043578361126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957775049","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000046190955,0.00004179736,0.000021205498,0.00011580356,0.0000244554,0.000009412647,0.9989416,0.000059582937,0.0007399548],"genre_scores_gemma":[0.0005312667,0.00018731547,0.00025423133,0.00011509165,0.000014333794,0.000067496614,0.99594146,0.00009037327,0.0027984602],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9959794,0.00023900685,0.0003817334,0.0005776131,0.0018453464,0.0009768666],"domain_scores_gemma":[0.96805054,0.0010581604,0.0008739866,0.0009761445,0.027504055,0.0015372486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017724836,0.0026127994,0.0026957558,0.0090847835,0.0033845487,0.0053210054,0.005306197,0.0015715206,0.081143975],"category_scores_gemma":[0.016898166,0.0016846057,0.0020612471,0.04312022,0.0007201387,0.002851253,0.0024225393,0.0032511791,0.063460596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015465002,0.000004735648,0.0006957185,0.00014300465,0.000014628894,0.0000052984315,0.000015885147,0.00008172916,0.000007382646,0.00029361126,0.997715,0.001007542],"study_design_scores_gemma":[0.000112315574,0.000009261857,0.015499809,0.0006430238,0.00005675723,0.000024170364,0.00045436824,0.0004870333,0.00016828002,0.0006247599,0.981847,0.00007324806],"about_ca_topic_score_codex":0.9936422,"about_ca_topic_score_gemma":0.992474,"teacher_disagreement_score":0.081143975,"about_ca_system_score_codex":0.047171637,"about_ca_system_score_gemma":0.12234628,"threshold_uncertainty_score":0.34225577},"labels":[],"label_agreement":null},{"id":"W6957802842","doi":"10.60692/6rmfr-bsz29","title":"Effect of the composting process on physicochemical properties and concentration of heavy metals in market waste with additive materials in the Ga West Municipality, Ghana","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compost; Phytotoxicity; Germination; Municipal solid waste; Heavy metals; Manure; Brassica; Amendment; Phosphorus","score_opus":0.016285437943713524,"score_gpt":0.21899642650171725,"score_spread":0.20271098855800374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957802842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995421,0.00015522484,0.000048186852,0.000009667491,0.00000205604,0.0000063717603,0.000034308992,0.000002532571,0.00019960423],"genre_scores_gemma":[0.99900204,0.00025133256,0.00023476219,0.0000124664675,0.0000020035056,0.000007809832,0.00005592809,0.0000048110296,0.00042881345],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998312,0.00003638532,0.000015938926,0.000033127446,0.000044145185,0.000039215603],"domain_scores_gemma":[0.99980754,0.00003184484,0.00007997017,0.0000077437,0.000039676735,0.0000332442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002051074,0.00027781926,0.00034094983,0.00047391173,0.00053419056,0.0006645116,0.00015263438,0.00023629144,0.0008621953],"category_scores_gemma":[0.0002556608,0.00018147433,0.00026062166,0.00060187664,0.00027732042,0.00023114495,0.00021717428,0.00021573991,0.00020453459],"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":[0.0021570118,0.0006320519,0.11967105,0.0007773103,0.000103305414,0.0023843483,0.002050329,0.0012600175,0.84997,0.00016250394,0.00021475738,0.020617299],"study_design_scores_gemma":[0.0000474226,0.004472768,0.7668091,0.00012611618,0.00020685133,0.0013667103,0.008332663,0.001141201,0.21078871,0.00018551973,0.006470929,0.00005194771],"about_ca_topic_score_codex":0.008360387,"about_ca_topic_score_gemma":0.020566706,"teacher_disagreement_score":0.008360387,"about_ca_system_score_codex":0.0005976391,"about_ca_system_score_gemma":0.00040149636,"threshold_uncertainty_score":0.016623437},"labels":[],"label_agreement":null},{"id":"W6957896753","doi":"10.6068/dp14ba86d613813","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Population Estimates and Projections | Country: Canada | Table: Neighbourhood income and demographics, taxfilers and dependents, by sex, marital status and age group | Variable: Both sexes, Taxfilers and dependants aged 40 to 44 years | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-163.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Census; Socioeconomic status; Marital status; Residence; Population statistics; Social statistics; Neighbourhood (mathematics); Demographic statistics","score_opus":0.012255834239783946,"score_gpt":0.23118981736068722,"score_spread":0.21893398312090329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957896753","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007870506,0.00008583879,0.000076910466,0.00020436182,0.000054156484,0.000036682923,0.9973984,0.00013395859,0.001931045],"genre_scores_gemma":[0.0013696391,0.00052937656,0.0012023525,0.00027800284,0.00002734813,0.0002789794,0.9890666,0.00024712033,0.007000471],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99657357,0.0003001248,0.00039483336,0.00040717504,0.0015711206,0.00075323693],"domain_scores_gemma":[0.97078115,0.00088456937,0.00063043204,0.00084659696,0.025478393,0.0013788609],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024381566,0.0023198538,0.0024474522,0.0067722173,0.0031793793,0.0045593176,0.0050791986,0.0013705773,0.10587144],"category_scores_gemma":[0.017500363,0.0017437398,0.002241126,0.031001074,0.0005847382,0.0023950052,0.00256994,0.0031298702,0.05651403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025932999,0.000006553207,0.00088596763,0.00026098173,0.000023223653,0.000008005608,0.000030482524,0.00015627718,0.000010189812,0.00046093305,0.99508685,0.0030446441],"study_design_scores_gemma":[0.00016863014,0.000012723621,0.01926123,0.00094114005,0.00007537845,0.000033098822,0.00048225856,0.0007602423,0.0001663113,0.0009288975,0.9770741,0.00009603135],"about_ca_topic_score_codex":0.9949456,"about_ca_topic_score_gemma":0.99315274,"teacher_disagreement_score":0.89412856,"about_ca_system_score_codex":0.05084403,"about_ca_system_score_gemma":0.12563242,"threshold_uncertainty_score":0.36890095},"labels":[],"label_agreement":null},{"id":"W6958173298","doi":"10.6084/m9.figshare.13525226.v1","title":"Additional file 16 of The yellow perch (Perca flavescens) microbiome revealed resistance to colonisation mostly associated with neutralism driven by rare taxa under cadmium disturbance","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"Université Laval","funders":"","keywords":"Colonisation; Taxon; Disturbance (geology); Microbiome; Perch; Resistance (ecology)","score_opus":0.012904845425673144,"score_gpt":0.21786143034914615,"score_spread":0.20495658492347302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958173298","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020557067,0.000018322382,0.0001912675,0.00007619474,0.000033674478,0.000019869307,0.9985531,0.00043366454,0.00046831035],"genre_scores_gemma":[0.007393259,0.00013069256,0.003846314,0.00056493626,0.00010301047,0.00050781656,0.9793754,0.0015285783,0.0065500084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937314,0.000078254736,0.000080917634,0.00019545398,0.00015141905,0.0001208968],"domain_scores_gemma":[0.98816353,0.008387761,0.0005936604,0.00078389596,0.0017142303,0.0003569726],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011450922,0.0012051752,0.001218455,0.002410497,0.0010606282,0.0020613982,0.0018283703,0.001843347,0.8259888],"category_scores_gemma":[0.016156109,0.0005708992,0.0011056135,0.002985445,0.00031052137,0.0019152801,0.0014135286,0.000947773,0.1977043],"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":[0.0002871683,0.00007131196,0.003996624,0.0033992105,0.00007119087,0.00011839143,0.000121774814,0.00033011223,0.0009212173,0.00045553557,0.98260385,0.0076234653],"study_design_scores_gemma":[0.00274063,0.00024072677,0.055821635,0.0035989312,0.000270418,0.00083411776,0.00084987434,0.0019128721,0.0028852287,0.0095341,0.9210765,0.00023495531],"about_ca_topic_score_codex":0.0070420327,"about_ca_topic_score_gemma":0.012453928,"teacher_disagreement_score":0.17401117,"about_ca_system_score_codex":0.0006432272,"about_ca_system_score_gemma":0.0015006249,"threshold_uncertainty_score":0.24820584},"labels":[],"label_agreement":null},{"id":"W6958338745","doi":"10.6084/m9.figshare.23897223","title":"Additional file 1 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Cohort; Breast cancer; Mammography; Quality (philosophy); Cohort study; Breast density; MAMMOGRAPHIC DENSITY","score_opus":0.013310719952022144,"score_gpt":0.2329000364300429,"score_spread":0.21958931647802074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958338745","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006956633,0.000013690376,0.00013377429,0.00007090464,0.000008752945,0.00011457129,0.99776506,0.000070706046,0.0011268186],"genre_scores_gemma":[0.020180406,0.0001266624,0.0020929663,0.00042110737,0.0000913878,0.0025494108,0.9623158,0.00023812041,0.011984107],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993463,0.00010916501,0.00015101956,0.0001733009,0.00013848266,0.000081736805],"domain_scores_gemma":[0.98976034,0.005039196,0.0016118268,0.0008676955,0.0023929663,0.00032798166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009394769,0.0005391177,0.0008023344,0.0017548132,0.00076334353,0.0007734778,0.0012313625,0.0006463564,0.66486377],"category_scores_gemma":[0.018003425,0.0003921541,0.0005643064,0.0035250161,0.00015182528,0.00097600574,0.00057974015,0.00050390203,0.062181998],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040788684,0.00012052548,0.012812423,0.001002144,0.000059298727,0.000069478476,0.0000616002,0.00022366582,0.00008182444,0.00040546406,0.9770213,0.007734422],"study_design_scores_gemma":[0.0068236827,0.0006613001,0.3319547,0.004055924,0.0004554332,0.0014389787,0.00092669233,0.0025053727,0.0012379817,0.0059931036,0.6437295,0.00021733182],"about_ca_topic_score_codex":0.01910445,"about_ca_topic_score_gemma":0.02220989,"teacher_disagreement_score":0.66486377,"about_ca_system_score_codex":0.0010391437,"about_ca_system_score_gemma":0.0012391089,"threshold_uncertainty_score":0.47803116},"labels":[],"label_agreement":null},{"id":"W6958714085","doi":"10.6084/m9.figshare.20317846","title":"Additional file 1 of The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"Cancer Care Ontario; Princess Margaret Cancer Centre","funders":"","keywords":"Menarche; MAMMOGRAPHIC DENSITY; Association (psychology); Index (typography); Sensitivity (control systems); Age adjustment; Body mass index","score_opus":0.009900904911272377,"score_gpt":0.1967156459659126,"score_spread":0.18681474105464022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958714085","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003106613,0.0000270849,0.00023365585,0.000071817994,0.000019681864,0.0000741082,0.9986112,0.00010423747,0.000547426],"genre_scores_gemma":[0.022779545,0.00027102893,0.004876863,0.0009114425,0.0002171329,0.0046481374,0.9518732,0.00086422527,0.013558331],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99886876,0.0003169742,0.00019010773,0.00029164323,0.00018677844,0.00014554687],"domain_scores_gemma":[0.95621705,0.036741234,0.0022973532,0.0016053513,0.0025957148,0.0005433454],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002182703,0.0010549191,0.0015280938,0.0021549608,0.0007339389,0.0012993502,0.0018423604,0.0012321655,0.8334755],"category_scores_gemma":[0.049855646,0.0006107122,0.0012521973,0.0040908935,0.00024878193,0.0014645695,0.00085310626,0.0010609719,0.1006309],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000619359,0.00015437596,0.008363931,0.0034408558,0.0001949185,0.000078615376,0.000085815234,0.00067047187,0.00006286921,0.00090393494,0.9760768,0.009348066],"study_design_scores_gemma":[0.019386722,0.0010833205,0.15861826,0.011091963,0.00168595,0.001788925,0.0010764868,0.0074843806,0.0011615047,0.020369293,0.77583677,0.00041643364],"about_ca_topic_score_codex":0.0150240455,"about_ca_topic_score_gemma":0.015555509,"teacher_disagreement_score":0.8334755,"about_ca_system_score_codex":0.00088907045,"about_ca_system_score_gemma":0.001870157,"threshold_uncertainty_score":0.23752695},"labels":[],"label_agreement":null},{"id":"W6976566481","doi":"10.60692/h9ww8-10d51","title":"The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"Cancer Care Ontario; Princess Margaret Cancer Centre","funders":"Engineering and Physical Sciences Research Council","keywords":"Menarche; Breast cancer; MAMMOGRAPHIC DENSITY; Mammography; Population; Parity (physics); Body mass index; Breast density","score_opus":0.011087533350479448,"score_gpt":0.18782354010138985,"score_spread":0.1767360067509104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976566481","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4468883,0.54144686,0.0034642727,0.0012485847,0.00032152692,0.00021028276,0.0042654444,0.00007132941,0.0020834678],"genre_scores_gemma":[0.96747357,0.027527863,0.0015834894,0.00055892684,0.00017579681,0.00023842289,0.002092306,0.0000179602,0.00033182686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99207723,0.005085105,0.00091439974,0.0011202284,0.00053682196,0.00026620043],"domain_scores_gemma":[0.98483753,0.009083643,0.003078471,0.0015811009,0.0011714903,0.0002477031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011102715,0.00097613916,0.0024671003,0.0022266144,0.0003367258,0.0019437799,0.0011397087,0.0011253849,0.0009512324],"category_scores_gemma":[0.024864834,0.0009003857,0.010410962,0.0043765195,0.00050394045,0.0005915273,0.0012706594,0.0010080131,0.000110891364],"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":[0.005602459,0.00008018588,0.5743846,0.009375023,0.38619253,0.0001573028,0.00017668109,0.00094879355,0.000413614,0.0003627014,0.001430548,0.020875566],"study_design_scores_gemma":[0.0012573397,0.00053983193,0.5409096,0.0020020793,0.448341,0.00042934716,0.00014215666,0.001251536,0.0004417367,0.0006458832,0.003978627,0.000060894316],"about_ca_topic_score_codex":0.020042483,"about_ca_topic_score_gemma":0.0213338,"teacher_disagreement_score":0.020042483,"about_ca_system_score_codex":0.0007048576,"about_ca_system_score_gemma":0.0009752045,"threshold_uncertainty_score":0.05871749},"labels":[],"label_agreement":null},{"id":"W6976635628","doi":"10.60692/e2p1g-73112","title":"Channel-Based RSA Approaches for QoS Protection of Slices Over Elastic Optical Networks","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"Concordia University","funders":"","keywords":"Survivability; Network topology; Integer programming; Heuristic; Virtualization; Bandwidth (computing); Quality of service; Network virtualization; Path protection","score_opus":0.04570322267248605,"score_gpt":0.20897399697667737,"score_spread":0.16327077430419132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976635628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022834964,0.0004056068,0.9698648,0.0001783109,0.000049290134,0.000049608218,0.000030589297,0.000104166844,0.0064826543],"genre_scores_gemma":[0.878653,0.00059984805,0.117293335,0.00010559361,0.000060561306,0.000075254706,0.00003662791,0.00005315746,0.0031226154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995529,0.0001647217,0.00001549401,0.000062032275,0.00010860476,0.00009630424],"domain_scores_gemma":[0.99918073,0.0004876567,0.00009765122,0.000095944015,0.00009900348,0.00003899288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080252433,0.00061456655,0.0003789008,0.00048637573,0.00042683136,0.0009000294,0.00086819933,0.00047223596,0.0032499833],"category_scores_gemma":[0.0015264541,0.00022103777,0.00040740726,0.00036351022,0.0007821468,0.0016162036,0.0010668356,0.0008540457,0.00022175761],"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":[0.00007548276,0.00006126384,0.00031205118,0.0001045755,0.000025909243,0.0000796042,0.00006628371,0.86501247,0.008108335,0.074547164,0.0008657283,0.050741076],"study_design_scores_gemma":[0.0000069830585,0.000050006794,0.00006951839,0.0000104994615,0.000009935667,0.000041382435,0.000040138846,0.9793154,0.0017097634,0.017673377,0.0010657839,0.0000071966974],"about_ca_topic_score_codex":0.0007326322,"about_ca_topic_score_gemma":0.0011573888,"teacher_disagreement_score":0.0032499833,"about_ca_system_score_codex":0.0006776862,"about_ca_system_score_gemma":0.00084059854,"threshold_uncertainty_score":0.010872245},"labels":[],"label_agreement":null},{"id":"W6976837169","doi":"10.60692/dwvn9-qjs62","title":"Absolute and relative declines in child mortality in India's districts during 2001–12 – Authors' reply","year":2014,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Digital Radiography and Breast Imaging","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":"Centre for Global Health Research; University of Toronto","funders":"","keywords":"Child mortality; Human development (humanity); Lagging; Government (linguistics); Absolute (philosophy); Infant mortality; Inequality; Millennium Development Goals; Poverty","score_opus":0.018655997646085644,"score_gpt":0.22540695863158183,"score_spread":0.2067509609854962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976837169","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009860721,0.002557518,0.0000943087,0.9509736,0.04386598,0.000009841326,0.00079685287,0.000042248877,0.00067357114],"genre_scores_gemma":[0.012485356,0.0032809705,0.00030858247,0.92867357,0.051467873,0.00008655254,0.0005027255,0.00007745841,0.0031169173],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956626,0.0012591064,0.00085164985,0.0008002272,0.0009794958,0.00044701758],"domain_scores_gemma":[0.9628347,0.022288391,0.0018459697,0.0013120705,0.010211567,0.0015073178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074639106,0.00069437496,0.0010165147,0.0012902631,0.0014351392,0.0023730665,0.003149708,0.011517375,0.008399702],"category_scores_gemma":[0.07112151,0.0006795255,0.0012964315,0.0021149132,0.0020342914,0.0038102325,0.0025199759,0.016428633,0.0040872972],"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":[0.00004151444,0.000007222161,0.0017208339,0.00021434965,0.000030742827,0.00012510215,0.0003669663,0.000049605693,0.000032268174,0.000602558,0.9920739,0.0047348896],"study_design_scores_gemma":[0.00013394337,0.000068893256,0.019179223,0.0015800783,0.00014669824,0.0012001478,0.003976455,0.00027352734,0.0006096458,0.004214928,0.96836877,0.0002476965],"about_ca_topic_score_codex":0.015654601,"about_ca_topic_score_gemma":0.01303769,"teacher_disagreement_score":0.015654601,"about_ca_system_score_codex":0.0027003144,"about_ca_system_score_gemma":0.003787891,"threshold_uncertainty_score":0.039473414},"labels":[],"label_agreement":null},{"id":"W6977274992","doi":"10.6084/m9.figshare.23897223.v1","title":"Additional file 1 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Cohort; Breast cancer; Mammography; Quality (philosophy); Cohort study; Breast density; MAMMOGRAPHIC DENSITY","score_opus":0.013310719952022144,"score_gpt":0.2329000364300429,"score_spread":0.21958931647802074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977274992","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00069566356,0.000013690389,0.00013377442,0.000070904716,0.000008752954,0.0001145714,0.99776506,0.000070706046,0.0011268192],"genre_scores_gemma":[0.020180425,0.00012666252,0.0020929684,0.00042110775,0.00009138798,0.002549416,0.9623158,0.00023812064,0.011984123],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993463,0.00010916512,0.00015101956,0.0001733009,0.00013848266,0.000081736966],"domain_scores_gemma":[0.98976034,0.0050392007,0.0016118268,0.0008676963,0.0023929684,0.00032798224],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093947747,0.0005391177,0.0008023347,0.0017548132,0.0007633447,0.0007734782,0.0012313619,0.00064635696,0.66486377],"category_scores_gemma":[0.018003434,0.0003921545,0.000564307,0.0035250196,0.00015182543,0.0009760067,0.00057974044,0.00050390227,0.062181983],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040788722,0.00012052571,0.012812423,0.001002145,0.00005929878,0.00006947854,0.000061600265,0.00022366582,0.00008182444,0.0004054642,0.9770213,0.007734425],"study_design_scores_gemma":[0.0068236897,0.00066130055,0.33195424,0.0040559266,0.00045543374,0.0014389784,0.0009266929,0.0025053709,0.0012379831,0.005993102,0.6437299,0.00021733185],"about_ca_topic_score_codex":0.019104462,"about_ca_topic_score_gemma":0.022209914,"teacher_disagreement_score":0.66486377,"about_ca_system_score_codex":0.0010391432,"about_ca_system_score_gemma":0.0012391112,"threshold_uncertainty_score":0.47803116},"labels":[],"label_agreement":null},{"id":"W6977385721","doi":"10.6084/m9.figshare.23897232.v1","title":"Additional file 4 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Breast density; Mammography; Cohort study; Hazard ratio; Table (database)","score_opus":0.013188817720316433,"score_gpt":0.23292989825377144,"score_spread":0.219741080533455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977385721","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00078120583,0.00001887748,0.00010768931,0.00006811215,0.0000107238,0.00006657452,0.99806863,0.00006787489,0.0008103556],"genre_scores_gemma":[0.028734941,0.00017402752,0.0015865982,0.00048518248,0.00012387292,0.0018331114,0.9534096,0.00022409942,0.013428467],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934524,0.00010640327,0.00013675328,0.00015767732,0.00015071091,0.000103149156],"domain_scores_gemma":[0.9886119,0.00676975,0.0016900591,0.00076981925,0.0018704752,0.00028803284],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009098302,0.0007420559,0.0009750847,0.0017615065,0.0007450911,0.00080036,0.0014686652,0.0007954744,0.66993344],"category_scores_gemma":[0.019485088,0.0004270389,0.00081933534,0.0033228146,0.00014799701,0.0010133736,0.0006229565,0.0005771269,0.04690438],"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":[0.0006871412,0.00015677241,0.020143952,0.0015943854,0.00013667595,0.00011978195,0.00006582126,0.00048562424,0.000112836584,0.0004957017,0.96807957,0.0079218475],"study_design_scores_gemma":[0.0112715205,0.00093551975,0.40003738,0.005717545,0.00092272926,0.0020038637,0.0010605231,0.00553494,0.0013741732,0.008813621,0.56200343,0.00032470582],"about_ca_topic_score_codex":0.020880165,"about_ca_topic_score_gemma":0.025932677,"teacher_disagreement_score":0.66993344,"about_ca_system_score_codex":0.0008988365,"about_ca_system_score_gemma":0.0011620229,"threshold_uncertainty_score":0.47079986},"labels":[],"label_agreement":null},{"id":"W6977414459","doi":"10.6084/m9.figshare.23897226","title":"Additional file 2 of Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Digital Radiography and Breast Imaging","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":"University of Toronto","funders":"","keywords":"Breast cancer; Cohort; Square root; MAMMOGRAPHIC DENSITY; Mammography; Cohort study; Mean squared error","score_opus":0.012882174492422016,"score_gpt":0.23243913497213545,"score_spread":0.21955696047971343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977414459","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006428189,0.000013540254,0.00015514958,0.00005725526,0.000009529139,0.00005950971,0.998166,0.000075254306,0.00082088285],"genre_scores_gemma":[0.02338381,0.00012331872,0.0019482115,0.0003935829,0.00009902154,0.0017740671,0.9591734,0.00029485556,0.012809825],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99928623,0.00013251045,0.00013732546,0.00018956137,0.00014625331,0.00010810167],"domain_scores_gemma":[0.9880385,0.0071367244,0.0017168794,0.0010325181,0.0017516956,0.0003236472],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011100904,0.0006790112,0.00092629035,0.0017941146,0.0006539265,0.00084465405,0.0014545668,0.00075292797,0.68778706],"category_scores_gemma":[0.02026318,0.00045178542,0.0007529122,0.0036240076,0.0001622222,0.0009799625,0.0007002008,0.0005536107,0.06556898],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039968773,0.00010579627,0.016872002,0.0010294319,0.00009810933,0.00008300173,0.00006130959,0.00049986684,0.00006785104,0.00062917557,0.9728257,0.007328011],"study_design_scores_gemma":[0.00697313,0.00066252565,0.30129683,0.0042572813,0.00062431995,0.0016310608,0.0009426419,0.005326839,0.0009755939,0.009065239,0.6679927,0.00025169752],"about_ca_topic_score_codex":0.01844528,"about_ca_topic_score_gemma":0.023538616,"teacher_disagreement_score":0.68778706,"about_ca_system_score_codex":0.0008954356,"about_ca_system_score_gemma":0.0012735915,"threshold_uncertainty_score":0.44533384},"labels":[],"label_agreement":null},{"id":"W6986199817","doi":"","title":"Overcoming adversity: resilience &amp; coping mechanisms developed by recent immigrant women living in the inner city of Calgary, Alberta","year":2005,"lang":"en","type":"article","venue":"TSpace (University of Toronto)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inner city; Immigration; Coping (psychology); Socioeconomic status; Neighbourhood (mathematics); Acculturation; Inner Cities","score_opus":0.011654007384617852,"score_gpt":0.23179716478584297,"score_spread":0.22014315740122511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986199817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976459,0.0001884006,0.000021607537,0.0005121074,0.0000071052627,0.0000058913406,0.000008114991,0.0000014808039,0.0016093425],"genre_scores_gemma":[0.99846715,0.00039205357,0.000041277046,0.00012531372,0.0000025059478,0.0000059427525,0.000011147773,8.703644e-7,0.0009537438],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9997558,0.00006395794,0.000005262885,0.000014595597,0.000033655862,0.00012683627],"domain_scores_gemma":[0.9998142,0.000027656488,0.000043011103,0.000007756139,0.00003187404,0.00007552161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047151782,0.00020590863,0.00017571759,0.00047822774,0.0039496217,0.0014770777,0.0004939088,0.00036371505,0.0014795356],"category_scores_gemma":[0.00080820837,0.00015359344,0.00017384822,0.00043488934,0.0020481544,0.00030525753,0.0014399051,0.00052009645,0.0000973797],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013044548,0.00022048036,0.38259113,0.00009857863,0.000048790655,0.003979154,0.5740158,0.00015875191,0.0027724584,0.0015038494,0.0020620497,0.032418557],"study_design_scores_gemma":[0.0000047321178,0.00006440626,0.17096636,0.00006616945,0.000013609673,0.00043451658,0.8244337,0.00007746683,0.000103002014,0.00017462499,0.0036481032,0.0000132598125],"about_ca_topic_score_codex":0.3665323,"about_ca_topic_score_gemma":0.62219346,"teacher_disagreement_score":0.6334677,"about_ca_system_score_codex":0.0031634835,"about_ca_system_score_gemma":0.003826635,"threshold_uncertainty_score":0.7287977},"labels":[],"label_agreement":null},{"id":"W6991607507","doi":"","title":"Heritability of mammographic density, a risk factor for breast cancer","year":2001,"lang":"en","type":"article","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Heritability; Concordance; Confidence interval; Breast cancer; Twin study; Dizygotic twin; Dizygotic twins; Risk factor; Monozygotic twin","score_opus":0.012635063750755944,"score_gpt":0.22425748345646904,"score_spread":0.2116224197057131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991607507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949285,0.0016478188,0.001926579,0.0001431103,0.000016492304,0.000023524,0.0003614586,0.000025701,0.0009268721],"genre_scores_gemma":[0.99910873,0.00021429552,0.00043625824,0.0000087250355,0.000008967091,0.0000043459145,0.00012208852,0.0000015592011,0.00009501338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996107,0.00012118611,0.000029156592,0.00010880015,0.00009079147,0.000039366263],"domain_scores_gemma":[0.9993081,0.0002470515,0.00022736366,0.000084530606,0.000076960714,0.000055900153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006838164,0.00022921104,0.00026790216,0.0005584347,0.00023358663,0.00037887009,0.0001876036,0.00023233876,0.0007667178],"category_scores_gemma":[0.0033251196,0.00021575432,0.00018744411,0.0004201757,0.0004260476,0.00019422908,0.00031370437,0.00027197407,0.00009390757],"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":[0.00010441885,0.00003674515,0.98316944,0.000047719936,0.0003226019,0.00036851308,0.00030545372,0.0007125244,0.003734716,0.0006428444,0.00040726387,0.010147722],"study_design_scores_gemma":[0.000004469252,0.000021647278,0.9979825,0.00001205864,0.0000708921,0.00052666967,0.000053000116,0.00058794185,0.00015555421,0.0003498478,0.00023235226,0.0000031039463],"about_ca_topic_score_codex":0.011314607,"about_ca_topic_score_gemma":0.0053399093,"teacher_disagreement_score":0.011314607,"about_ca_system_score_codex":0.0002781654,"about_ca_system_score_gemma":0.0003309459,"threshold_uncertainty_score":0.022497475},"labels":[],"label_agreement":null},{"id":"W6992652256","doi":"","title":"Mammographic density and associations with breast cancer risk and genetic variation in postmenopausal women : a causal inference approach","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; Breast density; Mammography; MAMMOGRAPHIC DENSITY; Risk factors for breast cancer; Genetic association; Cancer; Observational study","score_opus":0.0036933315754593805,"score_gpt":0.16876076255644185,"score_spread":0.16506743098098248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992652256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13650858,0.005317929,0.84599626,0.0042450074,0.00015243243,0.00056239654,0.0013040644,0.0002750399,0.005638191],"genre_scores_gemma":[0.7457402,0.0044298503,0.24050455,0.00088933547,0.00036404148,0.0010582786,0.0008205358,0.000044668064,0.0061485698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99451435,0.0042674774,0.00017458962,0.00055209914,0.00035180998,0.00013974137],"domain_scores_gemma":[0.9810129,0.017597422,0.00058827765,0.00053632195,0.00017099491,0.00009416904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012926015,0.0005336824,0.000951619,0.0019835173,0.00057668815,0.0011498065,0.0019737217,0.0010784499,0.0046029566],"category_scores_gemma":[0.029056031,0.00061677047,0.0023120102,0.0016638046,0.0009370249,0.0008077653,0.0013606022,0.0016385317,0.0002627689],"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":[0.0010065859,0.00059254863,0.2939676,0.0011606453,0.0071893986,0.002035381,0.0022786285,0.22525312,0.0019944615,0.28360534,0.004287024,0.17662926],"study_design_scores_gemma":[0.0004431581,0.00028647168,0.06579857,0.0003246745,0.0029413893,0.0005498554,0.00042043882,0.6240131,0.00062755763,0.2977786,0.0067291385,0.000086952394],"about_ca_topic_score_codex":0.014508446,"about_ca_topic_score_gemma":0.0120182,"teacher_disagreement_score":0.014508446,"about_ca_system_score_codex":0.0010021677,"about_ca_system_score_gemma":0.001189497,"threshold_uncertainty_score":0.06836009},"labels":[],"label_agreement":null},{"id":"W7001817234","doi":"","title":"L'implication parentale lors du placement d'un enfant en famille d'accueil, la perspective des parents","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Context (archaeology); Qualitative research; Life course approach; Set (abstract data type)","score_opus":0.0022062573363589096,"score_gpt":0.16061986012152724,"score_spread":0.15841360278516833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001817234","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30989605,0.033483267,0.00030330152,0.5401145,0.0020218,0.000026321342,0.0003646233,0.000022240298,0.113767974],"genre_scores_gemma":[0.93661964,0.020804841,0.00029280933,0.01199602,0.0005328593,0.000022889693,0.000079382815,0.0000205696,0.02963112],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99836165,0.0006636345,0.000045506764,0.00006771634,0.0002485058,0.0006129745],"domain_scores_gemma":[0.9940374,0.001984355,0.0006110787,0.000086305816,0.0013762717,0.0019046512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026953057,0.0001848621,0.00022124228,0.0008966949,0.010650752,0.0043889578,0.0008488517,0.0033394943,0.00821209],"category_scores_gemma":[0.014318538,0.0002659307,0.00022738651,0.0012215077,0.003883353,0.0017749886,0.0016581898,0.0038320995,0.0003597344],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020663695,0.0002579598,0.12092625,0.00028082705,0.000019880581,0.017060697,0.3992085,0.0002445288,0.00039762113,0.056145046,0.19183397,0.21341813],"study_design_scores_gemma":[0.00001940252,0.00010823787,0.09944927,0.0013310941,0.000031545464,0.005809992,0.69490796,0.00007578715,0.00027326343,0.0046714456,0.193274,0.000047975922],"about_ca_topic_score_codex":0.6457226,"about_ca_topic_score_gemma":0.84268713,"teacher_disagreement_score":0.6457226,"about_ca_system_score_codex":0.016251635,"about_ca_system_score_gemma":0.03187788,"threshold_uncertainty_score":0.71272755},"labels":[],"label_agreement":null},{"id":"W7043896616","doi":"","title":"Use of Noise Power Spectra (NPS) for quality control in digital radiography","year":2020,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"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":"CancerCare Manitoba Foundation","keywords":"Pixel; Noise (video); Image quality; Image noise; Digital radiography; Fixed-pattern noise; Spectral density; Residual; Digital image","score_opus":0.018620747432149795,"score_gpt":0.23274448799123143,"score_spread":0.21412374055908162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043896616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2907739,0.004982504,0.69011384,0.00038320734,0.00027823335,0.00030891152,0.00056448235,0.0013444065,0.011250449],"genre_scores_gemma":[0.7388491,0.0024779397,0.25486127,0.00014482388,0.00007049991,0.00020465377,0.0004306958,0.00035189046,0.0026090892],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9957165,0.0009165767,0.00015593614,0.0005521093,0.002579456,0.00007935317],"domain_scores_gemma":[0.99370617,0.0035526468,0.00071911636,0.000619908,0.0013380277,0.00006409781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038123329,0.0006889839,0.00042571392,0.0020441834,0.00041494914,0.0011359638,0.00074976933,0.0008461185,0.001578449],"category_scores_gemma":[0.009281491,0.00030700257,0.0004203117,0.001796947,0.0012482253,0.0011099391,0.00068264565,0.0007664845,0.000453211],"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":[0.0005397877,0.0001844103,0.0147692,0.0011759347,0.00010902416,0.00032695802,0.00085866044,0.01384845,0.63081867,0.007832033,0.0010848095,0.32845208],"study_design_scores_gemma":[0.000028939692,0.0010325124,0.041933227,0.00020891175,0.00014632818,0.0012206954,0.00045245295,0.07530566,0.8610826,0.0051528695,0.0132689215,0.00016683145],"about_ca_topic_score_codex":0.0010394829,"about_ca_topic_score_gemma":0.0011700284,"teacher_disagreement_score":0.0038123329,"about_ca_system_score_codex":0.00078751997,"about_ca_system_score_gemma":0.0005182973,"threshold_uncertainty_score":0.020161748},"labels":[],"label_agreement":null},{"id":"W7087206306","doi":"","title":"COVID-19 in medium-sized municipalities in the 14 health macro-regions of Minas Gerais, Brazil","year":2021,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nowcasting; Raw data; Psychological intervention; Duration (music); Public health; Quarter (Canadian coin)","score_opus":0.03193908057750635,"score_gpt":0.3012136873533361,"score_spread":0.26927460677582976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7087206306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932661,0.00074005366,0.00032015657,0.00041666487,0.000012082178,0.0000457984,0.0040900973,0.000020303349,0.001088704],"genre_scores_gemma":[0.997575,0.00028087123,0.00031287168,0.000038297534,0.0000063086136,0.000034749566,0.001590468,0.000004455552,0.00015699174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992704,0.00024582128,0.0000682183,0.00017530799,0.00007185239,0.00016842344],"domain_scores_gemma":[0.99898976,0.00023687893,0.0003878212,0.000081108294,0.00015959256,0.00014474845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010004,0.00035699242,0.00037118845,0.0010785887,0.00032957754,0.00089026196,0.00042792852,0.00031953424,0.0007166519],"category_scores_gemma":[0.0035902201,0.00020632979,0.0005473801,0.0015014581,0.00043445217,0.0005663543,0.0012367123,0.0002372554,0.00008302181],"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":[0.00006372971,0.00003290526,0.98947155,0.00014344917,0.00012777605,0.00033752556,0.001149899,0.0016309845,0.0004414734,0.0006320149,0.0007385082,0.005230162],"study_design_scores_gemma":[0.000007903522,0.000060168553,0.991004,0.00006799822,0.000052018237,0.00024660028,0.0029177724,0.002615049,0.0001621904,0.00023439023,0.002616098,0.000015824622],"about_ca_topic_score_codex":0.19651888,"about_ca_topic_score_gemma":0.20840915,"teacher_disagreement_score":0.19651888,"about_ca_system_score_codex":0.0020401361,"about_ca_system_score_gemma":0.0013543564,"threshold_uncertainty_score":0.39075005},"labels":[],"label_agreement":null},{"id":"W7100938937","doi":"","title":"STATEMENT Usability of irreversible image compression in radiological","year":2013,"lang":"en","type":"article","venue":"","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Usability; Radiological weapon; Scope (computer science); Service (business); Statement (logic); Information system","score_opus":0.013034419918514112,"score_gpt":0.27364215638087225,"score_spread":0.26060773646235813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100938937","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19578461,0.051829524,0.21169835,0.26253414,0.015008058,0.0048592966,0.0039824634,0.005796913,0.24850665],"genre_scores_gemma":[0.80878454,0.020881908,0.072665304,0.038113583,0.009384936,0.001856385,0.0029686498,0.001857359,0.04348738],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9650073,0.013271133,0.0029797128,0.0009406012,0.016966982,0.00083430856],"domain_scores_gemma":[0.86372024,0.08492856,0.00830576,0.0053333268,0.03574492,0.0019672818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02392825,0.00055749627,0.00045502477,0.0009958787,0.0009136164,0.003813521,0.0010782614,0.0021574046,0.010687297],"category_scores_gemma":[0.10848497,0.00019391598,0.00052159256,0.0007215284,0.0017505126,0.0019818482,0.0028020046,0.0017551425,0.004090062],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006620442,0.0002976139,0.007165262,0.005033453,0.000044765657,0.0011125946,0.0060022217,0.00086773746,0.01201442,0.017085424,0.13818628,0.81152815],"study_design_scores_gemma":[0.00012999099,0.0032592353,0.027194118,0.011744055,0.00020683999,0.009558289,0.0108934725,0.0053128307,0.03429697,0.020679751,0.87636226,0.00036229577],"about_ca_topic_score_codex":0.0013172852,"about_ca_topic_score_gemma":0.0005958808,"teacher_disagreement_score":0.02392825,"about_ca_system_score_codex":0.0014119262,"about_ca_system_score_gemma":0.002795348,"threshold_uncertainty_score":0.1265462},"labels":[],"label_agreement":null},{"id":"W7113486368","doi":"","title":"Impact of the absence of reading-interpretation of X-rays requested by patients at the adult emergencies service in the HUSJ during the first quarter of 2013","year":2014,"lang":"es","type":"dissertation","venue":"Minerva Digital Library (Universidad EAN)","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Economic shortage; Service (business); 2019-20 coronavirus outbreak","score_opus":0.0028476590195123603,"score_gpt":0.19328593707419264,"score_spread":0.19043827805468028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113486368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930234,0.0006723567,0.000045171153,0.002349818,0.00004670872,0.000019499817,0.00039255168,0.000004123144,0.0034462172],"genre_scores_gemma":[0.9978551,0.0006316641,0.000059852482,0.00028147254,0.000029303745,0.000012066603,0.00019148394,0.0000037920108,0.0009352535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970023,0.0008556446,0.0002910894,0.00015196856,0.00072471943,0.0009742043],"domain_scores_gemma":[0.9902788,0.0019261171,0.004420498,0.00016917137,0.0013221935,0.0018832615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021504988,0.00019377052,0.00034560706,0.0008579714,0.0011803062,0.0021023713,0.00073138834,0.0006133988,0.0054568653],"category_scores_gemma":[0.016724735,0.00027050418,0.0004930336,0.001176585,0.0008174291,0.0009174424,0.0022842926,0.0012611636,0.00045883722],"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":[0.00037112363,0.000271327,0.9780442,0.00011396672,0.000045942892,0.0004765258,0.0025538548,0.00014126084,0.00015756486,0.00020706613,0.001577198,0.01603983],"study_design_scores_gemma":[0.000006451123,0.00013441686,0.98754835,0.000115298186,0.000013744898,0.00017809075,0.010217313,0.00009703859,0.00006916178,0.00003941923,0.001572137,0.000008631437],"about_ca_topic_score_codex":0.09314075,"about_ca_topic_score_gemma":0.12003257,"teacher_disagreement_score":0.09314075,"about_ca_system_score_codex":0.004586639,"about_ca_system_score_gemma":0.0063166115,"threshold_uncertainty_score":0.18519723},"labels":[],"label_agreement":null},{"id":"W7117107416","doi":"10.1177/08465371251398520","title":"Contrast-Enhanced Mammography for Detection and Characterization of Invasive Lobular Carcinoma","year":2025,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","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":"BC Cancer Agency; Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"Invasive lobular carcinoma; Mammography; Ultrasonography; Diagnostic accuracy; Breast imaging; Lobular carcinoma; Breast cancer; Invasive ductal carcinoma","score_opus":0.006221588086028047,"score_gpt":0.2200363863608586,"score_spread":0.21381479827483055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117107416","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022642314,0.96170145,0.0051919194,0.0012826627,0.0002421323,0.0000884205,0.00027677362,0.00013188519,0.0084424075],"genre_scores_gemma":[0.25780627,0.71028787,0.025623532,0.0013901255,0.00068488484,0.00010539311,0.00071464846,0.00004703835,0.003340195],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99934393,0.00019619342,0.000056425404,0.00005758353,0.00028575578,0.0000600059],"domain_scores_gemma":[0.9989047,0.0004286378,0.0001413697,0.000034833538,0.00043412865,0.000056271714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012263218,0.0004712685,0.00088935305,0.0045224107,0.00020491504,0.0008956011,0.0005934717,0.0007516297,0.0011492283],"category_scores_gemma":[0.0031250492,0.00029319865,0.0005287366,0.0019900657,0.0004261305,0.00044813383,0.00034191363,0.0008382022,0.00065672415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008609195,0.00011493111,0.049740635,0.0068878387,0.00031966378,0.0045989617,0.00019103166,0.0006101164,0.037772987,0.0015651492,0.014754184,0.88258356],"study_design_scores_gemma":[0.00022176141,0.0011392047,0.39729905,0.010386787,0.002251688,0.106846355,0.0009477307,0.0071619535,0.06396454,0.003605858,0.40593132,0.00024376407],"about_ca_topic_score_codex":0.007432013,"about_ca_topic_score_gemma":0.010960925,"teacher_disagreement_score":0.007432013,"about_ca_system_score_codex":0.00090279453,"about_ca_system_score_gemma":0.0008086182,"threshold_uncertainty_score":0.014777482},"labels":[],"label_agreement":null},{"id":"W7117464264","doi":"10.1177/08465371251400538","title":"Semi-Supervised Deep Learning-Based Model for Segmentation of Breast Arterial Calcification on Screening Mammograms","year":2025,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Medical Research Future Fund","keywords":"Segmentation; Mammography; Workflow; Calcification; Calcinosis; Screening mammography","score_opus":0.014960173195351308,"score_gpt":0.2671498171251297,"score_spread":0.2521896439297784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117464264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3066676,0.001467714,0.6839439,0.00059828896,0.00011886052,0.0002086622,0.0006610832,0.003863955,0.0024699941],"genre_scores_gemma":[0.90634364,0.00027404644,0.0887299,0.0003419886,0.000059468144,0.00018389872,0.0012026387,0.00008585884,0.0027786766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993917,0.00016414757,0.00004567412,0.00019756668,0.00012207047,0.000078824385],"domain_scores_gemma":[0.99892515,0.00045625013,0.00016103292,0.00007120092,0.0003373974,0.000048983584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016028992,0.0010089244,0.0008919091,0.0009559318,0.00031262863,0.00076082686,0.0014874402,0.0012363538,0.0009490824],"category_scores_gemma":[0.0026561855,0.00046494664,0.0010014251,0.0005701717,0.00055523537,0.0005834086,0.00073981716,0.0010417531,0.00041467114],"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":[0.00042441115,0.00023718519,0.0056168586,0.00013059257,0.00015054036,0.00015853159,0.00012983754,0.8353607,0.0071726395,0.0009374833,0.0023527625,0.1473285],"study_design_scores_gemma":[0.0000040722643,0.000020569612,0.0002935863,0.000005534014,0.0000074040786,0.000011972317,0.0000034965453,0.9986362,0.0006255043,0.00030930148,0.000079244135,0.0000030655717],"about_ca_topic_score_codex":0.012093502,"about_ca_topic_score_gemma":0.012191967,"teacher_disagreement_score":0.012093502,"about_ca_system_score_codex":0.001187712,"about_ca_system_score_gemma":0.0014128595,"threshold_uncertainty_score":0.024046242},"labels":[],"label_agreement":null},{"id":"W7128616018","doi":"10.1093/jbi/wbaf064","title":"Canadian Society Breast Imaging Position Statement on Mammographic Breast Density and Supplemental Screening","year":2025,"lang":"en","type":"article","venue":"Journal of Breast Imaging","topic":"Digital Radiography and Breast Imaging","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":true,"ca_institutions":"University of British Columbia; University of Toronto; University of Ottawa; Dalhousie University","funders":"","keywords":"Mammography; Position statement; Breast density; Breast cancer; Breast cancer screening; Screening mammography; Breast imaging; Breast tissue; Statement (logic); Ultrasonography","score_opus":0.003857219934775087,"score_gpt":0.23868971578621898,"score_spread":0.2348324958514439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128616018","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024069182,0.04016429,0.0048164353,0.6209757,0.03871404,0.0009865691,0.010431791,0.00060036156,0.2809039],"genre_scores_gemma":[0.04603356,0.100939475,0.0551968,0.43686876,0.01936878,0.0015265493,0.025677018,0.0008231269,0.313566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98821473,0.00085864565,0.00065962033,0.000466897,0.008397096,0.0014029919],"domain_scores_gemma":[0.9479716,0.0046511665,0.0012033607,0.0011653838,0.037932303,0.0070761973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011428748,0.0009182246,0.001020722,0.0031355764,0.005238362,0.0037599318,0.006014293,0.0120194685,0.013905092],"category_scores_gemma":[0.029659431,0.0008214794,0.001367107,0.0039832992,0.0025786846,0.0015383741,0.0021184394,0.010971978,0.0052092024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025756533,0.00003012344,0.0011033819,0.00017296252,0.000013756088,0.00009578305,0.000109226006,0.00013166429,0.00021487915,0.007092575,0.95625085,0.034759108],"study_design_scores_gemma":[0.000024389341,0.000014894069,0.0034238347,0.00068846723,0.000028911976,0.00012617446,0.00011833523,0.000093735216,0.00014555438,0.0016908229,0.9936074,0.000037411777],"about_ca_topic_score_codex":0.85131323,"about_ca_topic_score_gemma":0.924379,"teacher_disagreement_score":0.14868677,"about_ca_system_score_codex":0.027617464,"about_ca_system_score_gemma":0.19045945,"threshold_uncertainty_score":0.29912478},"labels":[],"label_agreement":null},{"id":"W955591275","doi":"10.3233/xst-150475","title":"Fast analytical scatter estimation using graphics processing units","year":2015,"lang":"en","type":"article","venue":"Journal of X-Ray Science and Technology","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; CancerCare Manitoba","funders":"Nvidia","keywords":"Monte Carlo method; Estimator; Imaging phantom; Optics; Projection (relational algebra); Detector; Graphics processing unit; Physics; Computer science; Algorithm; Mathematics; Statistics","score_opus":0.03971678993893601,"score_gpt":0.3123265426078255,"score_spread":0.2726097526688895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W955591275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002398721,0.000060307742,0.9921084,0.00004915415,0.000019795025,0.00004313985,0.00005529228,0.004700655,0.000564476],"genre_scores_gemma":[0.0646989,0.00015927297,0.9320262,0.000081674145,0.000020675663,0.00024594567,0.00037205158,0.00094104593,0.0014541278],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992023,0.0001639891,0.000051663017,0.00011188975,0.00042055626,0.00004957942],"domain_scores_gemma":[0.998102,0.00056174264,0.00014290154,0.000236873,0.00090241915,0.000054105352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011228706,0.0011907525,0.0004595827,0.0010823286,0.0002656066,0.0012689275,0.001900588,0.0005926727,0.0061069005],"category_scores_gemma":[0.00696244,0.0004990268,0.0005112569,0.0010021141,0.00036553442,0.0009121604,0.0009816698,0.0008813873,0.0027005086],"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":[0.0005100528,0.00006650455,0.0047346707,0.0003100411,0.00010582493,0.00042131759,0.00032704047,0.1421599,0.049166474,0.017667418,0.024552314,0.7599784],"study_design_scores_gemma":[0.00006789597,0.00009680086,0.0013317452,0.00007225649,0.000030528285,0.00035079636,0.000035101668,0.91044736,0.048458327,0.0063222973,0.03273564,0.000051292278],"about_ca_topic_score_codex":0.002538369,"about_ca_topic_score_gemma":0.002002244,"teacher_disagreement_score":0.0061069005,"about_ca_system_score_codex":0.00093487796,"about_ca_system_score_gemma":0.0012337938,"threshold_uncertainty_score":0.02042967},"labels":[],"label_agreement":null}]}