{"meta":{"query_hash":"251a3b115828","filters":{"venue":"BJR|Open"},"cohort_total":20,"direct_labels_cover":0,"predictions_cover":20,"exported":20,"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/251a3b115828","api":"https://metacan.xera.ac/api/v1/cohort?venue=BJR%7COpen"},"results":[{"id":"W2920436347","doi":"10.1259/bjro.20180015","title":"Cholesteatoma: multishot echo-planar <i>vs</i> non echo-planar diffusion-weighted MRI for the prediction of middle ear and mastoid cholesteatoma","year":2019,"lang":"en","type":"article","venue":"BJR|Open","topic":"Ear Surgery and Otitis Media","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":"St. Thomas Hospital","funders":"","keywords":"Cholesteatoma; Medicine; Echo-planar imaging; Nuclear medicine; Magnetic resonance imaging; Radiology; Middle ear; Predictive value; Diffusion MRI; Fast spin echo; Internal medicine","score_opus":0.024219109857990105,"score_gpt":0.2563602577496654,"score_spread":0.2321411478916753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920436347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797946,0.0006652592,0.0010643787,0.00003299339,0.000011193227,0.0000126581635,0.000041267074,0.000016107168,0.00017667578],"genre_scores_gemma":[0.998765,0.0001240348,0.0009902304,0.000007856746,0.00001880565,0.000006732407,0.000042810214,0.0000018706864,0.000042783562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994054,0.00019045908,0.00010083565,0.00012741923,0.00014851043,0.00002735752],"domain_scores_gemma":[0.9966922,0.0016911364,0.00081776764,0.00012300439,0.00040378753,0.00027211595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016483488,0.0003109601,0.00033299642,0.00097339164,0.00010519408,0.00038143076,0.00024012261,0.000432388,0.0005083118],"category_scores_gemma":[0.007069513,0.00017510778,0.00023933793,0.00021964301,0.00026197894,0.00049874216,0.00024521208,0.0002754067,0.00022354208],"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":[0.0008693471,0.00005069899,0.9774474,0.000056257773,0.000084075225,0.00024552265,0.000035900877,0.0004036993,0.0071074865,0.000014626968,0.00005860811,0.013626431],"study_design_scores_gemma":[0.00009301899,0.0013208442,0.9735432,0.00002923109,0.00018109893,0.008328712,0.00009029762,0.01091678,0.0051304437,0.000055146997,0.00029270077,0.000018542762],"about_ca_topic_score_codex":0.0005819463,"about_ca_topic_score_gemma":0.00077270204,"teacher_disagreement_score":0.0016483488,"about_ca_system_score_codex":0.00014415206,"about_ca_system_score_gemma":0.0002545177,"threshold_uncertainty_score":0.008717418},"labels":[],"label_agreement":null},{"id":"W2950140915","doi":"10.1259/bjro.20190007","title":"Feasibility of high resolution ultrasound for SLAP tears of the shoulder compared to MR arthrogram","year":2019,"lang":"en","type":"article","venue":"BJR|Open","topic":"Shoulder Injury and Treatment","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":"McMaster University","funders":"","keywords":"Arthrogram; Tears; Medicine; Ultrasound; High resolution; Radiology; Nuclear medicine; Surgery; Geology; Magnetic resonance imaging; Remote sensing","score_opus":0.08779811693478357,"score_gpt":0.39216411836248777,"score_spread":0.3043660014277042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950140915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508554,0.0008628973,0.0033166683,0.000067958856,0.000023435587,0.00007699344,0.000038909355,0.000035453024,0.00049200834],"genre_scores_gemma":[0.9977847,0.000098595214,0.0019610364,0.000018503279,0.000026752501,0.000021093474,0.000028861541,0.0000066490074,0.000053819298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98989993,0.0063768076,0.001105208,0.00092633156,0.0014149217,0.00027686806],"domain_scores_gemma":[0.92093325,0.055081926,0.012146675,0.0043388274,0.0066037592,0.0008955444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01106538,0.00070856174,0.00051198964,0.0015214795,0.00027563577,0.0009900776,0.00058027,0.00092567725,0.0025557154],"category_scores_gemma":[0.07558879,0.0005514454,0.00059172045,0.00047677304,0.00086116773,0.0016900644,0.001068407,0.0005548447,0.0010029385],"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":[0.0051562665,0.00032363474,0.9415957,0.0002959099,0.00017964967,0.000731815,0.00087402714,0.0006304803,0.013800464,0.00004330519,0.00010297196,0.03626579],"study_design_scores_gemma":[0.00054452353,0.016530609,0.9436305,0.00019808798,0.0003925151,0.012985961,0.0012819867,0.0085811205,0.014954906,0.000108993234,0.0007012676,0.00008956293],"about_ca_topic_score_codex":0.000356503,"about_ca_topic_score_gemma":0.0004190245,"teacher_disagreement_score":0.01106538,"about_ca_system_score_codex":0.0001724972,"about_ca_system_score_gemma":0.00038083256,"threshold_uncertainty_score":0.05852002},"labels":[],"label_agreement":null},{"id":"W3134775478","doi":"10.1259/bjro.20210006","title":"Comparison of quantitative and qualitative scoring approaches for radiation-induced pulmonary fibrosis as applied to a preliminary investigation into the efficacy of mesenchymal stem cell delivery methods in a rat model","year":2021,"lang":"en","type":"article","venue":"BJR|Open","topic":"Effects of Radiation Exposure","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":"McGill University Health Centre","funders":"National Cancer Institute","keywords":"Medicine; Mesenchymal stem cell; Fibrosis; Pathology; Quantitative assessment; Nuclear medicine; Internal medicine; Surgery","score_opus":0.1939449083257988,"score_gpt":0.45347341510205774,"score_spread":0.25952850677625894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134775478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8090333,0.0021774138,0.1838554,0.00017266798,0.00013306923,0.00084688526,0.00089131034,0.0007271333,0.0021627294],"genre_scores_gemma":[0.883051,0.0007759491,0.112912185,0.00006778984,0.000045974622,0.000616602,0.0006622597,0.00006244248,0.0018058004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99515426,0.0015380144,0.0004192497,0.0006071411,0.0021058032,0.00017548996],"domain_scores_gemma":[0.99274033,0.0024139246,0.0017148128,0.0006242356,0.0022338007,0.00027289306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008994074,0.00088642887,0.0006114542,0.0027136947,0.00027397284,0.0007694601,0.00037213753,0.00062998885,0.0010070887],"category_scores_gemma":[0.0057049794,0.00029678585,0.00059235754,0.0006336174,0.0005499578,0.00046920768,0.00039765163,0.00080282614,0.00029466537],"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":[0.0038819509,0.0012216761,0.050486602,0.0007943021,0.00046110392,0.00009118298,0.00035359088,0.009485731,0.8226408,0.0005440559,0.0005325008,0.10950651],"study_design_scores_gemma":[0.00013640705,0.013223576,0.18476103,0.00009889462,0.00048692265,0.00079399825,0.0003127547,0.08949758,0.7077408,0.000588781,0.0021633743,0.00019586553],"about_ca_topic_score_codex":0.00077893987,"about_ca_topic_score_gemma":0.0014866479,"teacher_disagreement_score":0.008994074,"about_ca_system_score_codex":0.00042008236,"about_ca_system_score_gemma":0.0004193072,"threshold_uncertainty_score":0.04756576},"labels":[],"label_agreement":null},{"id":"W3183472034","doi":"10.1259/bjro.20200064","title":"Postgraduate radiology education: what has Covid-19 changed?","year":2021,"lang":"en","type":"article","venue":"BJR|Open","topic":"Radiology practices and education","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 Health Network","funders":"","keywords":"Summative assessment; Formative assessment; Coronavirus disease 2019 (COVID-19); Medical education; Pandemic; Multidisciplinary approach; Medicine; Radiology; Multidisciplinary team; 2019-20 coronavirus outbreak; Psychology; Pathology; Nursing; Mathematics education; Disease; Political science","score_opus":0.23484021774777408,"score_gpt":0.45841195051405464,"score_spread":0.22357173276628056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183472034","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":[0.02323919,0.3975662,0.0007822792,0.54004973,0.021693308,0.000108502434,0.0011657649,0.00013426722,0.015260765],"genre_scores_gemma":[0.22530717,0.56802577,0.004555572,0.18382454,0.010298479,0.00017735784,0.0017715459,0.00019603242,0.0058435486],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9907871,0.0028677424,0.0013716068,0.000994092,0.0022880374,0.0016913798],"domain_scores_gemma":[0.96321297,0.011246438,0.0045737945,0.000908109,0.009943142,0.010115604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013919667,0.00031773077,0.0007527285,0.0015606812,0.0013902553,0.00505343,0.0017977408,0.0036345187,0.008187573],"category_scores_gemma":[0.051670067,0.00041719904,0.0006477803,0.0033567937,0.003188828,0.0057541267,0.003447077,0.0054349997,0.001832322],"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":[0.00032289213,0.0002284563,0.014165363,0.015665185,0.00008631389,0.0005282201,0.0029346722,0.0004884329,0.00044259118,0.016979856,0.13004832,0.81810975],"study_design_scores_gemma":[0.00006003988,0.0003560495,0.07875518,0.021088896,0.000048736634,0.0018635283,0.008211591,0.0001378915,0.00032261477,0.002792744,0.88622344,0.00013947807],"about_ca_topic_score_codex":0.038984817,"about_ca_topic_score_gemma":0.046336643,"teacher_disagreement_score":0.038984817,"about_ca_system_score_codex":0.009937516,"about_ca_system_score_gemma":0.024336629,"threshold_uncertainty_score":0.07751578},"labels":[],"label_agreement":null},{"id":"W4309838632","doi":"10.1259/bjro.20229002","title":"\"Evolving role of AI in radiation oncology\"— special collection - introductory Editorial","year":2022,"lang":"en","type":"editorial","venue":"BJR|Open","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","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":"Western University","funders":"","keywords":"Radiation oncology; Workflow; Library science; Scope (computer science); Medical physics; Computer science; Medicine; Radiation therapy; Radiology","score_opus":0.004993847725692607,"score_gpt":0.31243593875269027,"score_spread":0.30744209102699765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309838632","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":[0.00001605888,0.0068440014,0.000044642387,0.020302478,0.9717924,0.000011191399,0.000020889212,0.000020769354,0.00094752596],"genre_scores_gemma":[0.00012139866,0.0032841347,0.000034855348,0.009928475,0.98473144,0.000010267605,0.000010417844,0.000015407048,0.0018635724],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.994175,0.0011795736,0.0008835179,0.00068739936,0.0025977849,0.00047676632],"domain_scores_gemma":[0.9705364,0.011788935,0.0020995054,0.0007712663,0.00954968,0.0052541923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008483791,0.003355722,0.005042629,0.005715118,0.0033916202,0.009407727,0.003543532,0.014940937,0.017817203],"category_scores_gemma":[0.03251313,0.0013206814,0.0029807251,0.0021969918,0.0030392741,0.004269416,0.0025749882,0.020164907,0.010248491],"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":[0.000027103053,0.000008864788,0.000027425516,0.0003031705,0.000014379971,0.00009030819,0.000008926217,0.000015436492,0.000042572206,0.00022314774,0.99429363,0.0049451645],"study_design_scores_gemma":[0.00007893651,0.000042958887,0.00042472195,0.0010045525,0.00007492062,0.00047802387,0.000045882916,0.000106941334,0.00007694531,0.0010957975,0.9965474,0.0000229712],"about_ca_topic_score_codex":0.0017523409,"about_ca_topic_score_gemma":0.006030349,"teacher_disagreement_score":0.017817203,"about_ca_system_score_codex":0.0044449344,"about_ca_system_score_gemma":0.004234747,"threshold_uncertainty_score":0.059604466},"labels":[],"label_agreement":null},{"id":"W4366408435","doi":"10.1259/bjro.20220049","title":"Clinicoradiological outcomes after radical radiotherapy for lung cancer in patients with interstitial lung disease","year":2023,"lang":"en","type":"article","venue":"BJR|Open","topic":"Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis","field":"Medicine","cited_by":6,"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":"Health Service Executive; Wellcome Trust; Canadian Institute for Theoretical Astrophysics","keywords":"Medicine; Radiation therapy; Interstitial lung disease; Lung cancer; Cohort; Internal medicine; Cancer; Lung; Surgery","score_opus":0.019179465331344247,"score_gpt":0.3566361711784457,"score_spread":0.33745670584710147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366408435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933356,0.00026328122,0.000024607429,0.000017877444,0.0000028647698,0.0000048397956,0.00008868239,0.0000023026491,0.00026192336],"genre_scores_gemma":[0.9997055,0.000049165024,0.000015477057,0.00000928028,0.000006379831,0.0000032369421,0.00015011162,7.7163827e-7,0.000060032475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997806,0.0000493412,0.000027457356,0.000052023574,0.00004387171,0.000046735364],"domain_scores_gemma":[0.999171,0.00012484562,0.00042628052,0.000035623954,0.00007496086,0.00016731607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000356546,0.0001306403,0.00023923548,0.00034007867,0.00034618395,0.00038059408,0.00021333134,0.00025496678,0.001152178],"category_scores_gemma":[0.0012035364,0.000087907625,0.0002820717,0.00043353127,0.00021860236,0.00021854877,0.0003059536,0.00026969044,0.00024303189],"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":[0.00018251868,0.000029554692,0.9971801,0.000010007424,0.000020001751,0.000306331,0.000057048514,0.00004159787,0.0003155093,0.000003954359,0.00005423823,0.001799139],"study_design_scores_gemma":[0.000007770736,0.00030677326,0.9982399,0.0000033937927,0.0000159843,0.0011312546,0.00006725554,0.000040207367,0.000071188064,0.000005467823,0.000108632084,0.0000022012969],"about_ca_topic_score_codex":0.0013459604,"about_ca_topic_score_gemma":0.0023695359,"teacher_disagreement_score":0.0013459604,"about_ca_system_score_codex":0.0003020211,"about_ca_system_score_gemma":0.00021425557,"threshold_uncertainty_score":0.0038544536},"labels":[],"label_agreement":null},{"id":"W4385841175","doi":"10.1259/bjro.20230008","title":"The effect of spatial resolution on deep learning classification of lung cancer histopathology","year":2023,"lang":"en","type":"article","venue":"BJR|Open","topic":"AI in cancer detection","field":"Computer Science","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":"Western University; Okanagan University College; University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"BC Cancer Foundation","keywords":"Histopathology; Lung cancer; Adenocarcinoma; Pathology; Convolutional neural network; Cancer; Medicine; Artificial intelligence; Computer science; Internal medicine","score_opus":0.026259926496100986,"score_gpt":0.32959642790054444,"score_spread":0.30333650140444346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385841175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9225398,0.002123732,0.07032948,0.00079771754,0.0000766553,0.000035328332,0.0003365833,0.00092063146,0.0028401427],"genre_scores_gemma":[0.9789368,0.0003742915,0.019661566,0.00012742134,0.000017511242,0.000011933318,0.00025529697,0.000041666466,0.0005734335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993692,0.00019364648,0.00005131962,0.00013270053,0.00017572923,0.00007739933],"domain_scores_gemma":[0.9953992,0.0032968807,0.00035648802,0.00026921844,0.0005573473,0.000120893936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022066254,0.00073136744,0.00028957965,0.00053869525,0.00019278255,0.0007385587,0.0005192836,0.0007976586,0.0009816693],"category_scores_gemma":[0.011383529,0.00030088905,0.00044759226,0.00041159475,0.00047015844,0.0011623307,0.0009412953,0.0007923963,0.00026815615],"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":[0.0017450505,0.00034856983,0.052953567,0.00047325584,0.0003854054,0.0003493189,0.00020373319,0.53069144,0.121726625,0.0018007611,0.0016887281,0.28763354],"study_design_scores_gemma":[0.00003998334,0.0004452884,0.021268073,0.00008476995,0.00014506253,0.00021646351,0.00006780425,0.90724343,0.06739898,0.0019734928,0.0010797454,0.00003687026],"about_ca_topic_score_codex":0.0035522392,"about_ca_topic_score_gemma":0.0028947487,"teacher_disagreement_score":0.0035522392,"about_ca_system_score_codex":0.00064589485,"about_ca_system_score_gemma":0.0004578156,"threshold_uncertainty_score":0.011669874},"labels":[],"label_agreement":null},{"id":"W4387017333","doi":"10.1259/bjro.20230041","title":"A plea for more careful scholarship in reviewing evidence: the case of mammographic screening","year":2023,"lang":"en","type":"review","venue":"BJR|Open","topic":"Global Cancer Incidence and Screening","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":"Systematic review; Subversion; Plea; Medicine; Scholarship; MEDLINE; Psychology; Political science; Law","score_opus":0.7193608061720501,"score_gpt":0.5754767479845,"score_spread":0.14388405818755012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387017333","genre_codex":"commentary","genre_gemma":"review","domain_codex":"methods","domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":"methods","domain_consensus":"methods","prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00056289433,0.060214505,0.011641239,0.9118868,0.012373064,0.000280657,0.000029155208,0.00008824294,0.0029233503],"genre_scores_gemma":[0.055416018,0.081989415,0.1372507,0.6742564,0.04452182,0.0034707705,0.00010478181,0.0006358769,0.0023542822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"systematic_review","domain_scores_codex":[0.15775196,0.63166463,0.088906795,0.019372154,0.09697008,0.00533443],"domain_scores_gemma":[0.05447388,0.82990485,0.02922969,0.03997843,0.040350877,0.006062186],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.73111224,0.00361579,0.013411216,0.028719068,0.017878069,0.04342859,0.018274516,0.06817705,0.0054671587],"category_scores_gemma":[0.8433694,0.005691687,0.009571276,0.014282812,0.13547179,0.12353588,0.037122644,0.08806474,0.0032435623],"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":[0.00061958854,0.00018698012,0.002489915,0.047370717,0.0023003442,0.006394932,0.13033628,0.0011801728,0.0008773574,0.3567282,0.27920428,0.17231116],"study_design_scores_gemma":[0.0007847616,0.00030690717,0.0011982206,0.09767503,0.0006088152,0.005369858,0.024968594,0.00094335433,0.00045653584,0.5407136,0.3263878,0.0005865017],"about_ca_topic_score_codex":0.013607171,"about_ca_topic_score_gemma":0.015866032,"teacher_disagreement_score":0.26888776,"about_ca_system_score_codex":0.033169597,"about_ca_system_score_gemma":0.09275585,"threshold_uncertainty_score":0.33158654},"labels":[],"label_agreement":null},{"id":"W4390745540","doi":"10.1093/bjro/tzad010","title":"International postgraduate fellowships in radiology: the good, the bad, and the paperwork","year":2023,"lang":"en","type":"article","venue":"BJR|Open","topic":"Radiology practices and education","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":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Subspecialty; Medical education; Medicine; Professional development; Career path; Healthcare system; Health care; Family medicine; Political science; Engineering management; Engineering","score_opus":0.06252038634848708,"score_gpt":0.3724287750606787,"score_spread":0.3099083887121916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390745540","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013852362,0.020491527,0.0020356758,0.90708286,0.02238406,0.00003319795,0.00008723486,0.000069495465,0.033963542],"genre_scores_gemma":[0.5771811,0.08429509,0.010586251,0.23979123,0.034016185,0.00015549533,0.00029369112,0.0006147825,0.053066228],"study_design_codex":"not_applicable","study_design_gemma":"qualitative","domain_scores_codex":[0.97326773,0.015031154,0.0016057169,0.00074369914,0.0071944306,0.0021572518],"domain_scores_gemma":[0.86419094,0.041496076,0.01409201,0.0065567913,0.01903317,0.054631002],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.029155878,0.00034785416,0.00067185005,0.0013015809,0.0055397544,0.01192518,0.0011524683,0.003188552,0.017887523],"category_scores_gemma":[0.13776594,0.0003624983,0.000431706,0.001244551,0.00993975,0.00964184,0.005800929,0.0086515695,0.0044482574],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001285859,0.00018080643,0.0138321305,0.0006558259,0.00005228373,0.001114264,0.011510076,0.00014738538,0.0003418323,0.041611403,0.6976563,0.23276912],"study_design_scores_gemma":[0.00003001903,0.00021995205,0.017248066,0.005908702,0.000035243946,0.0044782856,0.044649232,0.00015888715,0.0002436122,0.05024802,0.8766579,0.000122045334],"about_ca_topic_score_codex":0.0020823108,"about_ca_topic_score_gemma":0.004216677,"teacher_disagreement_score":0.97084415,"about_ca_system_score_codex":0.003133142,"about_ca_system_score_gemma":0.008747878,"threshold_uncertainty_score":0.15419286},"labels":[],"label_agreement":null},{"id":"W4392366487","doi":"10.1093/bjro/tzae007","title":"Cementoplasty to cryoablation: review and current status","year":2023,"lang":"en","type":"article","venue":"BJR|Open","topic":"Pelvic and Acetabular Injuries","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","funders":"Singapore General Hospital","keywords":"Current (fluid); Cryoablation; Medicine; Medical physics; General surgery; Internal medicine; Engineering; Electrical engineering; Ablation","score_opus":0.08175942459175459,"score_gpt":0.4279913204650442,"score_spread":0.3462318958732896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392366487","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":[0.00009437153,0.999173,0.000054759967,0.00016879245,0.0001445446,0.0000028008892,0.000007725807,0.0000035269159,0.00035032694],"genre_scores_gemma":[0.00047546127,0.99876344,0.0001050503,0.00020663813,0.0003219623,0.000005202785,0.000015162678,0.000001418396,0.00010564698],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995938,0.00006819256,0.000115065566,0.000088101915,0.00010562928,0.000029287832],"domain_scores_gemma":[0.9979836,0.0013947135,0.00027463437,0.0000339883,0.00024350102,0.00006954182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001143063,0.001003641,0.001995586,0.003328913,0.00044449457,0.0019050583,0.0012986616,0.0014084498,0.005318417],"category_scores_gemma":[0.0024510545,0.00042025783,0.0010377349,0.0036308754,0.0011623263,0.0020395003,0.0009572834,0.0018585923,0.0015602027],"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":[0.00012388696,0.00009073779,0.00030303965,0.053624496,0.00015262645,0.0003558328,0.00014880196,0.00026203648,0.0006949164,0.0021422126,0.018159203,0.9239422],"study_design_scores_gemma":[0.000036834506,0.00027452726,0.0020195872,0.033632435,0.0007108635,0.0053839665,0.00028217374,0.00014337586,0.00047579032,0.0023491024,0.95464045,0.00005093896],"about_ca_topic_score_codex":0.001164884,"about_ca_topic_score_gemma":0.0021095371,"teacher_disagreement_score":0.005318417,"about_ca_system_score_codex":0.0006747694,"about_ca_system_score_gemma":0.0015923042,"threshold_uncertainty_score":0.017791808},"labels":[],"label_agreement":null},{"id":"W4401732201","doi":"10.1093/bjro/tzae016","title":"Emergency department referrals for CT imaging of extremity soft tissue infection: before and during the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"BJR|Open","topic":"Orthopedic Infections and Treatments","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":"Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Emergency department; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computed tomography; Radiology; Emergency medicine; Medical emergency; Virology; Pathology; Outbreak; Infectious disease (medical specialty); Nursing","score_opus":0.0780288418926429,"score_gpt":0.4004939856104778,"score_spread":0.32246514371783486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401732201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898976,0.00019670193,0.000037593956,0.000046527475,0.0000075857447,0.000014742265,0.00034706795,0.0000024873254,0.00035751724],"genre_scores_gemma":[0.9993274,0.00011693897,0.000037068636,0.000038791033,0.000015868362,0.000007745977,0.0003955644,0.0000016345515,0.000058991915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896336,0.00018796518,0.00013669737,0.00021234668,0.00018718683,0.00031242127],"domain_scores_gemma":[0.99681395,0.00035755467,0.0018071126,0.00011460362,0.00032069522,0.0005859795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006041583,0.00030057022,0.00040629512,0.0012865536,0.00050975697,0.0010374675,0.00042147643,0.00076752715,0.0016811817],"category_scores_gemma":[0.0033523445,0.0004647698,0.00037050067,0.001114873,0.00045675656,0.0010060037,0.000859208,0.0008333296,0.0002630163],"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":[0.00004512202,0.000016553538,0.9991598,0.000005344799,0.000007791691,0.00024879767,0.000074822965,0.000013435093,0.00008376882,0.0000039703455,0.000049933566,0.0002906435],"study_design_scores_gemma":[0.0000016916129,0.000044559583,0.99879456,0.000009643112,0.0000032648945,0.00063589454,0.00039680413,0.000029073586,0.000022334114,0.000002667099,0.000056623794,0.0000027505207],"about_ca_topic_score_codex":0.0107643,"about_ca_topic_score_gemma":0.013009104,"teacher_disagreement_score":0.0107643,"about_ca_system_score_codex":0.0006742005,"about_ca_system_score_gemma":0.0005500328,"threshold_uncertainty_score":0.021403313},"labels":[],"label_agreement":null},{"id":"W4402443445","doi":"10.1093/bjro/tzae025","title":"Dual-energy CT: Impact of detecting bone marrow oedema in occult trauma in the Emergency","year":2023,"lang":"en","type":"review","venue":"BJR|Open","topic":"Advanced X-ray and CT Imaging","field":"Engineering","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 British Columbia","funders":"","keywords":"Occult; Medicine; Bone marrow; Radiology; Dual energy; Pathology; Bone mineral; Osteoporosis","score_opus":0.08301359250023924,"score_gpt":0.3826924140837219,"score_spread":0.2996788215834827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402443445","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":[0.00014779838,0.9989503,0.000084421976,0.00020115632,0.00008043648,0.0000021921,0.0000042724037,0.000003851977,0.0005256146],"genre_scores_gemma":[0.0015317072,0.99770254,0.00020627124,0.00016745027,0.00018396587,0.000003772071,0.00001105855,0.0000019136849,0.00019133236],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99972564,0.000061485895,0.00004522406,0.00005646601,0.0000897022,0.000021508578],"domain_scores_gemma":[0.9988927,0.0006949225,0.000115952265,0.000019102452,0.00023024372,0.000046995814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083560287,0.00090504286,0.0012695162,0.003357022,0.00023997408,0.0011779537,0.00091591914,0.0015230109,0.0018905812],"category_scores_gemma":[0.0016548809,0.00037883376,0.0006520132,0.002008987,0.00083497615,0.001475834,0.0006832747,0.0019801625,0.0008817494],"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":[0.0001144476,0.00006322259,0.0008094391,0.016526412,0.00012840304,0.0005086843,0.0000750996,0.0003330974,0.0009456905,0.002100714,0.012286975,0.96610785],"study_design_scores_gemma":[0.00007046238,0.00032085006,0.010605369,0.025873713,0.0007685328,0.02948658,0.00030319154,0.0007723233,0.0020221726,0.004556021,0.9251002,0.00012062128],"about_ca_topic_score_codex":0.0015009207,"about_ca_topic_score_gemma":0.0018679403,"teacher_disagreement_score":0.003357022,"about_ca_system_score_codex":0.00060501235,"about_ca_system_score_gemma":0.0009800872,"threshold_uncertainty_score":0.0063245893},"labels":[],"label_agreement":null},{"id":"W4402535105","doi":"10.1093/bjro/tzae029","title":"Accuracy of an artificial intelligence-enabled diagnostic assistance device in recognizing normal chest radiographs: a service evaluation","year":2023,"lang":"en","type":"article","venue":"BJR|Open","topic":"Artificial Intelligence in Healthcare and Education","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":"Hendrix Genetics (Canada)","funders":"","keywords":"Radiography; Service (business); Medicine; Computer science; Medical physics; Artificial intelligence; Radiology; Business","score_opus":0.40076215176117264,"score_gpt":0.49697382821809244,"score_spread":0.0962116764569198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402535105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951143,0.0011589861,0.0017153667,0.00026490132,0.000020113717,0.000032855398,0.00041776357,0.000052203413,0.0012234044],"genre_scores_gemma":[0.99835616,0.00014041315,0.0010754754,0.000027654554,0.00001715382,0.0000085948295,0.00028756616,0.000004717332,0.00008221373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935402,0.0025478068,0.0010580127,0.0006183172,0.0017871761,0.00044846744],"domain_scores_gemma":[0.9642202,0.019998796,0.00585992,0.0015292653,0.0072898953,0.0011018682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008642188,0.0006447297,0.00051691534,0.0019909532,0.00026691981,0.0016347653,0.0010314372,0.0009912938,0.0007958729],"category_scores_gemma":[0.055558886,0.00023835278,0.00054558984,0.001425818,0.0008954249,0.0013311508,0.001109651,0.0006105897,0.0005591034],"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":[0.000507106,0.00005270539,0.98632437,0.00007556476,0.00008296341,0.0001297466,0.00017748671,0.0007713863,0.00038408054,0.0000472194,0.00015518122,0.011292125],"study_design_scores_gemma":[0.000054608183,0.002479176,0.94804496,0.0000903284,0.00026073784,0.0024435967,0.0008716444,0.0411114,0.0031647244,0.00025219953,0.0011923305,0.000034258745],"about_ca_topic_score_codex":0.00426408,"about_ca_topic_score_gemma":0.0038929232,"teacher_disagreement_score":0.008642188,"about_ca_system_score_codex":0.0010140598,"about_ca_system_score_gemma":0.000698422,"threshold_uncertainty_score":0.045704782},"labels":[],"label_agreement":null},{"id":"W4404318930","doi":"10.1093/bjro/tzae039","title":"Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods","year":2023,"lang":"en","type":"review","venue":"BJR|Open","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Cancer Institute","keywords":"Radiation oncology; Medical physics; Medicine; Computer science; Radiation therapy; Internal medicine","score_opus":0.6606041854093458,"score_gpt":0.7412279265834195,"score_spread":0.08062374117407367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404318930","genre_codex":"commentary","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":[0.0006385122,0.32862255,0.14820606,0.44882557,0.02371231,0.0013561392,0.0012509804,0.002744429,0.0446435],"genre_scores_gemma":[0.0048691384,0.37287584,0.34324062,0.19299354,0.021776892,0.0048790746,0.0012663131,0.0012490049,0.056849543],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939942,0.002941326,0.00084250834,0.00040551665,0.0015810913,0.0002355025],"domain_scores_gemma":[0.97547376,0.017285293,0.0009994012,0.0012802167,0.0032887137,0.0016727056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014764522,0.003158585,0.0023084022,0.00688366,0.0018382856,0.0071613644,0.0052162693,0.010803508,0.018018832],"category_scores_gemma":[0.031650934,0.0017138232,0.001911792,0.0043653757,0.0104514165,0.011895563,0.006118042,0.02263755,0.026900481],"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":[0.00003949444,0.00018530674,0.0003688517,0.001639068,0.00003675505,0.00051191845,0.00089303794,0.0004889323,0.00074586656,0.031062216,0.78415203,0.17987652],"study_design_scores_gemma":[0.000030249648,0.000056783687,0.00045831426,0.0027539995,0.000013263906,0.0019408488,0.0005636754,0.0004471389,0.00013358322,0.07306147,0.9204853,0.000055352466],"about_ca_topic_score_codex":0.0028412275,"about_ca_topic_score_gemma":0.006692829,"teacher_disagreement_score":0.018018832,"about_ca_system_score_codex":0.0028772068,"about_ca_system_score_gemma":0.007697439,"threshold_uncertainty_score":0.07808316},"labels":[],"label_agreement":null},{"id":"W4410206517","doi":"10.1093/bjro/tzaf009","title":"A diagnostic approach to mediastinal masses in clinical practice","year":2024,"lang":"en","type":"review","venue":"BJR|Open","topic":"Myasthenia Gravis and Thymoma","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":"Cytodiagnostics (Canada)","funders":"","keywords":"Mediastinal mass; Clinical Practice; Medicine; Radiology; Medical physics; Family medicine","score_opus":0.29764486524953776,"score_gpt":0.5547290214345084,"score_spread":0.25708415618497066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410206517","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":[0.00080311607,0.9755695,0.0050065964,0.0050637866,0.0028051164,0.00007913838,0.00008900636,0.00012292898,0.010460908],"genre_scores_gemma":[0.008077244,0.97017586,0.009755992,0.0043793493,0.0042279097,0.0000852057,0.00023620336,0.000027422273,0.0030348583],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992367,0.00021905446,0.00015419522,0.00008488987,0.00025793648,0.000047312224],"domain_scores_gemma":[0.9987306,0.0005623098,0.00013388114,0.000040262174,0.00042502445,0.0001078866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010427133,0.0012225733,0.0011508327,0.006347989,0.0006117474,0.0017090173,0.0012371,0.0021675609,0.005092652],"category_scores_gemma":[0.0042454135,0.0003600787,0.00063939794,0.0026272086,0.0012900389,0.0027466998,0.0014709206,0.0029541224,0.0041041523],"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":[0.000041446998,0.000068872796,0.0012832826,0.013836817,0.00008158024,0.0047581983,0.0006197792,0.0004311979,0.0018248911,0.0055648424,0.08188477,0.88960415],"study_design_scores_gemma":[0.000024366547,0.00007805263,0.0034871313,0.022840045,0.00015694814,0.058897503,0.0008808474,0.0002968283,0.0005308808,0.010638807,0.9020996,0.00006889263],"about_ca_topic_score_codex":0.0010079824,"about_ca_topic_score_gemma":0.0015950372,"teacher_disagreement_score":0.006347989,"about_ca_system_score_codex":0.0008917829,"about_ca_system_score_gemma":0.0016902166,"threshold_uncertainty_score":0.017036617},"labels":[],"label_agreement":null},{"id":"W4410708406","doi":"10.1093/bjro/tzaf014","title":"Myelin mapping in patients with rheumatoid arthritis-related fatigue: a TBSS-MTR study of integrity","year":2024,"lang":"en","type":"article","venue":"BJR|Open","topic":"Advanced Neuroimaging Techniques and Applications","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 Infection and Immunity","funders":"University of Aberdeen; Pfizer","keywords":"Rheumatoid arthritis; Structural integrity; Medicine; Myelin; White matter; Internal medicine; Structural engineering; Radiology; Engineering; Central nervous system; Magnetic resonance imaging","score_opus":0.09358581657652058,"score_gpt":0.37787659341259255,"score_spread":0.28429077683607196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410708406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867696,0.00030069146,0.000570456,0.000013985232,0.0000018703219,0.000014116079,0.00017487335,0.00001013935,0.00023676276],"genre_scores_gemma":[0.9993967,0.000051547064,0.00034137414,0.000004414176,0.0000039559286,0.000008656478,0.00010676777,0.000002948838,0.000083619445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983656,0.000040798066,0.000026778387,0.000050539707,0.000023351802,0.000021906631],"domain_scores_gemma":[0.9993309,0.00010016244,0.0003190471,0.00008453415,0.000099492776,0.0000659485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063127145,0.00033305516,0.00028611935,0.0010336436,0.00030273403,0.0003641588,0.00016092238,0.00026369424,0.0017272565],"category_scores_gemma":[0.0016878535,0.00012502071,0.00021394691,0.0005557723,0.00027337924,0.00029741012,0.00042855207,0.00014419852,0.0003460515],"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":[0.0024976647,0.0001221449,0.93872994,0.00015637658,0.00037137326,0.0009835407,0.0012197513,0.0006125468,0.03344733,0.00012422612,0.00026175487,0.021473354],"study_design_scores_gemma":[0.000025130483,0.0005908718,0.9938002,0.000016878712,0.00009777518,0.0022554721,0.00028507912,0.000988896,0.0014900832,0.0001454013,0.0002956223,0.000008613308],"about_ca_topic_score_codex":0.001071101,"about_ca_topic_score_gemma":0.0011933214,"teacher_disagreement_score":0.0017272565,"about_ca_system_score_codex":0.00012501988,"about_ca_system_score_gemma":0.00015181341,"threshold_uncertainty_score":0.005778253},"labels":[],"label_agreement":null},{"id":"W4411088377","doi":"10.1093/bjro/tzaf015","title":"Artificial intelligence for cardiac imaging is ready for widespread clinical use: Pro Con debate AI for cardiac imaging","year":2024,"lang":"en","type":"review","venue":"BJR|Open","topic":"Artificial Intelligence in Healthcare and Education","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Workflow; Transparency (behavior); Computer science; Reimbursement; Accountability; Artificial intelligence; Risk analysis (engineering); Generalizability theory; Data science; Medicine; Psychology; Health care; Computer security; Political science","score_opus":0.6601262875710037,"score_gpt":0.6248888472441569,"score_spread":0.035237440326846725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411088377","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":[0.000044808006,0.99278295,0.00018060107,0.0052580303,0.000505708,0.0000036520921,0.000009079733,0.0000052798828,0.0012098693],"genre_scores_gemma":[0.0010358217,0.993803,0.000440677,0.003353333,0.00089484575,0.000014457518,0.000018805085,0.0000064155092,0.00043268487],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99727124,0.0010185365,0.00032505926,0.00022763846,0.0010445765,0.00011286],"domain_scores_gemma":[0.9879865,0.00958821,0.00064738665,0.00029364415,0.0012677016,0.00021642918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048245196,0.0006496227,0.0016498121,0.0023536002,0.00045658654,0.0029736059,0.0010978057,0.0039329296,0.004212843],"category_scores_gemma":[0.011005595,0.00034589696,0.0011272571,0.0026524777,0.0020811746,0.0043142005,0.0013065371,0.0056617307,0.0019585981],"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":[0.000058563808,0.000040969488,0.00010963094,0.030664768,0.00019678187,0.0000950831,0.00020525204,0.00045302254,0.00046448543,0.045373674,0.057901293,0.86443657],"study_design_scores_gemma":[0.000023239541,0.000059707447,0.00050603424,0.030496985,0.0001242476,0.00047687354,0.00015617035,0.0001466395,0.00016192521,0.019628234,0.9481947,0.000025318373],"about_ca_topic_score_codex":0.0014987577,"about_ca_topic_score_gemma":0.0019068859,"teacher_disagreement_score":0.0048245196,"about_ca_system_score_codex":0.0015043475,"about_ca_system_score_gemma":0.0038935666,"threshold_uncertainty_score":0.025514781},"labels":[],"label_agreement":null},{"id":"W4414861004","doi":"10.1093/bjro/tzaf025","title":"The role of musculoskeletal radiologists in emergency and trauma settings: current and emerging imaging modalities","year":2024,"lang":"en","type":"review","venue":"BJR|Open","topic":"Radiology practices and education","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 British Columbia","funders":"","keywords":"Magnetic resonance imaging; Soft tissue; Medical imaging; Modalities; Occult; Imaging technology; Radiography","score_opus":0.05255629685669688,"score_gpt":0.4406707589280064,"score_spread":0.3881144620713095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414861004","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":[0.0064208386,0.790207,0.0064315028,0.17056711,0.007654801,0.00005538858,0.00016986836,0.00046978684,0.018023655],"genre_scores_gemma":[0.07566157,0.82176834,0.020081734,0.0426035,0.03353999,0.00014110006,0.0003438767,0.00019590998,0.0056639877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942304,0.0020731608,0.0007518329,0.0007970269,0.0016205353,0.0005270976],"domain_scores_gemma":[0.96340233,0.01597556,0.0037636547,0.001070331,0.00897948,0.0068086893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007897781,0.0011879784,0.0011757817,0.0051893606,0.0019041852,0.005850793,0.0019775417,0.005707401,0.009746472],"category_scores_gemma":[0.025929354,0.00072073255,0.00071015244,0.0027453012,0.0038798281,0.009011414,0.0052145845,0.0063144453,0.003826088],"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":[0.00013090318,0.00013053865,0.013546011,0.004044686,0.000057927005,0.0028373275,0.0025929708,0.0003711147,0.001490745,0.008905891,0.13074945,0.83514243],"study_design_scores_gemma":[0.00006225886,0.0002136956,0.021950807,0.021278206,0.00014997413,0.036037613,0.010514329,0.0011625483,0.0007358158,0.03151874,0.87606555,0.0003104432],"about_ca_topic_score_codex":0.0034788144,"about_ca_topic_score_gemma":0.00597557,"teacher_disagreement_score":0.009746472,"about_ca_system_score_codex":0.002290782,"about_ca_system_score_gemma":0.0062555154,"threshold_uncertainty_score":0.041767955},"labels":[],"label_agreement":null},{"id":"W4415038576","doi":"10.1093/bjro/tzaf027","title":"EcoRad: sustainable radiology and the ecology of economics","year":2024,"lang":"en","type":"review","venue":"BJR|Open","topic":"Radiology practices and education","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":"Sustainability; Transformative learning; Meaning (existential); Champion; Procurement; Triple bottom line; Ecological economics; Perspective (graphical)","score_opus":0.0931599334373043,"score_gpt":0.43063567834741123,"score_spread":0.3374757449101069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415038576","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":[0.00011423475,0.982647,0.0009775755,0.0051660314,0.0020116249,0.000010910688,0.00002181502,0.000029453242,0.009021282],"genre_scores_gemma":[0.0030742458,0.98722583,0.00094785134,0.00379972,0.002135345,0.000027336884,0.000044003576,0.00001733229,0.0027284012],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983022,0.0005770447,0.00014087796,0.00015637671,0.00070211967,0.00012130133],"domain_scores_gemma":[0.9965437,0.0023237967,0.00035129386,0.000115869385,0.0005139741,0.00015136434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022667074,0.0011890625,0.0014271018,0.0045409594,0.00093863945,0.0038212966,0.0011944154,0.0033161354,0.006997756],"category_scores_gemma":[0.0048373826,0.00032479857,0.0008525134,0.006483866,0.0035657317,0.0049654245,0.0024451518,0.0050166924,0.0024930988],"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":[0.000030620122,0.000053564283,0.00033775903,0.019785712,0.0001249099,0.00022975652,0.00050625,0.00077342865,0.00041043301,0.2513753,0.1336618,0.5927105],"study_design_scores_gemma":[0.0000030810754,0.000012552368,0.0003459208,0.0071722507,0.000019890764,0.00025368395,0.00015293068,0.00006885504,0.000069336005,0.018552694,0.9733363,0.000012485605],"about_ca_topic_score_codex":0.0032097795,"about_ca_topic_score_gemma":0.0040290304,"teacher_disagreement_score":0.006997756,"about_ca_system_score_codex":0.0030975097,"about_ca_system_score_gemma":0.0058049425,"threshold_uncertainty_score":0.023409843},"labels":[],"label_agreement":null},{"id":"W4416589933","doi":"10.1093/bjro/tzaf030","title":"Exploring the therapeutic potential of localized alpha irradiation for cancer: from DNA damage to immune activation","year":2024,"lang":"en","type":"review","venue":"BJR|Open","topic":"Effects of Radiation Exposure","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":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"DNA damage; Immune system; Linear energy transfer; Radiation therapy; Alpha (finance); Cancer treatment; Cancer; DNA; Alpha particle","score_opus":0.1795384043467516,"score_gpt":0.41985638236541833,"score_spread":0.24031797801866672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416589933","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":[0.000092235845,0.99906474,0.00005629442,0.0001136697,0.00010321662,0.0000030011536,0.000005905444,0.0000032088303,0.0005577564],"genre_scores_gemma":[0.00043941053,0.99904865,0.000060819402,0.000100676785,0.00007012551,0.0000044323565,0.0000092008,8.025451e-7,0.0002659235],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984586,0.000030189167,0.000020441472,0.000026823263,0.00006226742,0.0000144211035],"domain_scores_gemma":[0.9997719,0.00013940896,0.000028564391,0.0000060190646,0.0000400946,0.000014088456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004155219,0.00074184197,0.0011794441,0.002093137,0.00026220756,0.0007771434,0.00061976485,0.0011185479,0.0025253596],"category_scores_gemma":[0.0006055298,0.00026620488,0.0005514191,0.0014616603,0.000460411,0.00095403154,0.0005227261,0.0013741918,0.0010559406],"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":[0.00007646811,0.000069317466,0.00016157098,0.033484746,0.00012906008,0.00019452136,0.00011028117,0.00041814026,0.0029521908,0.004518336,0.02091205,0.9369732],"study_design_scores_gemma":[0.000021678445,0.00014866116,0.0008995721,0.006945517,0.00014977997,0.0014099226,0.000082188104,0.00007208713,0.0008985475,0.002091822,0.98726255,0.000017640728],"about_ca_topic_score_codex":0.000756004,"about_ca_topic_score_gemma":0.001174113,"teacher_disagreement_score":0.0025253596,"about_ca_system_score_codex":0.0005205738,"about_ca_system_score_gemma":0.0007706254,"threshold_uncertainty_score":0.008448184},"labels":[],"label_agreement":null}]}