{"meta":{"query_hash":"450c306d628e","filters":{"venue":"Nepal Journal of Epidemiology"},"cohort_total":6,"direct_labels_cover":0,"predictions_cover":6,"exported":6,"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/450c306d628e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Nepal+Journal+of+Epidemiology"},"results":[{"id":"W2465203905","doi":"10.3126/nje.v6i2.15154","title":"Choice of a suitable diabetes risk assessment tool in Nepal – can we learn from Canada?","year":2016,"lang":"en","type":"editorial","venue":"Nepal Journal of Epidemiology","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","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","funders":"","keywords":"Medicine; Diabetes mellitus; Simple (philosophy); Population; Risk assessment; Environmental health; Computer security","score_opus":0.02674799773770811,"score_gpt":0.3327579645585714,"score_spread":0.3060099668208633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465203905","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10490967,0.0037317977,0.00012071267,0.07179362,0.81553054,0.000455718,0.0010309892,0.00002870585,0.0023982455],"genre_scores_gemma":[0.013972164,0.0037325763,0.00091186754,0.013750512,0.9670402,0.000023081999,0.00027210324,0.000092222544,0.00020530722],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99129283,0.0014012643,0.0042021116,0.0006045367,0.0006501727,0.001849079],"domain_scores_gemma":[0.96284884,0.02740418,0.007869215,0.00057234016,0.0011741973,0.00013125272],"candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.011301258,0.0006138205,0.003719805,0.00062291767,0.00013986297,0.000036003647,0.0012550213,0.0015158788,0.0003530501],"category_scores_gemma":[0.079149194,0.00045105908,0.00043492074,0.00032574454,0.00024307822,0.0004803946,0.00043791917,0.002823985,0.000013258965],"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":[0.00006506719,0.000045157478,0.18344866,0.00019952086,0.00018453338,0.000020766625,0.000006165637,0.00040878056,0.000006821905,0.0006552123,0.81210834,0.002850989],"study_design_scores_gemma":[0.0013843292,0.00011763448,0.03669018,0.00052459317,0.00016425939,0.0000013624478,0.0000480006,0.0006426966,3.3234787e-7,0.011557963,0.94850403,0.00036463904],"about_ca_topic_score_codex":0.9353407,"about_ca_topic_score_gemma":0.6853044,"teacher_disagreement_score":0.2500363,"about_ca_system_score_codex":0.0009230587,"about_ca_system_score_gemma":0.0033332212,"threshold_uncertainty_score":0.9997941},"labels":[],"label_agreement":null},{"id":"W2742908125","doi":"10.3126/nje.v7i2.17975","title":"Fungal keratitis: study of increasing trend and common determinants","year":2017,"lang":"en","type":"article","venue":"Nepal Journal of Epidemiology","topic":"Ocular Infections and Treatments","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Registered Nurses' Association of Ontario","funders":"","keywords":"Medicine; Fungal keratitis; Keratitis; Dermatology; Pathological; Contact lens; Intensive care medicine; Antifungal; Pathology; Ophthalmology","score_opus":0.07551865014866774,"score_gpt":0.4140733082265557,"score_spread":0.338554658077888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742908125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837786,0.0006225213,0.0000132534615,0.00017728044,0.00020570567,0.000095170326,0.0000026383175,0.0000022555025,0.00050334306],"genre_scores_gemma":[0.9986902,0.00019439243,0.000883879,0.000067274435,0.00013470212,0.000001026556,6.2056444e-7,0.000006328155,0.000021566611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875736,0.00037279987,0.00057294784,0.00009447466,0.00006767209,0.00013472413],"domain_scores_gemma":[0.9983788,0.00044194993,0.00076604803,0.00023280253,0.000067500274,0.00011287161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011229742,0.00008740974,0.0006988862,0.00010071804,0.00016359273,0.000006983183,0.000066286615,0.000071781324,0.000016334923],"category_scores_gemma":[0.0013869783,0.00006039887,0.00008415409,0.000015047502,0.00012056388,0.000089631496,0.000041928513,0.00017593043,8.801977e-7],"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":[0.00025945142,0.00041632555,0.96916544,0.000011696794,0.00020257014,0.00043492363,0.00010544957,0.0000016664994,0.00018606057,0.000023730727,0.000038376253,0.029154288],"study_design_scores_gemma":[0.0031580105,0.0036415015,0.9878582,0.00010719284,0.0002907242,0.0042423015,0.00010215471,0.000058620106,0.00009520404,0.00024736882,0.00015993539,0.000038819642],"about_ca_topic_score_codex":0.0007148634,"about_ca_topic_score_gemma":0.0007461261,"teacher_disagreement_score":0.029115468,"about_ca_system_score_codex":0.00002175529,"about_ca_system_score_gemma":0.000026326867,"threshold_uncertainty_score":0.24629945},"labels":[],"label_agreement":null},{"id":"W2745091497","doi":"10.3126/nje.v7i2.17974","title":"Lexis Expansion: a prerequisite for analyzing time changing variables in a cohort study","year":2017,"lang":"en","type":"article","venue":"Nepal Journal of Epidemiology","topic":"Nutritional Studies and Diet","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":"Discovery Air (Canada)","funders":"","keywords":"Lexis; Medicine; Confounding; Cohort; Demography; Cohort study; Prospective cohort study; Gerontology; Statistics; Linguistics; Surgery; Mathematics; Internal medicine","score_opus":0.0717300125732919,"score_gpt":0.3906840693012299,"score_spread":0.318954056727938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745091497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99025655,0.0019409477,0.0012477266,0.0048101987,0.00028018077,0.0005820803,0.0000074214017,0.000006517664,0.0008684047],"genre_scores_gemma":[0.9905027,0.00038305073,0.0070509063,0.0007729041,0.0010675216,0.000029692688,0.000005227705,0.0000133625545,0.00017462346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833804,0.0001777394,0.0007932537,0.00019672312,0.00011765123,0.0003766104],"domain_scores_gemma":[0.99742615,0.0012737655,0.00069288287,0.0002441931,0.00024113634,0.00012189217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004901337,0.0001254789,0.0010592625,0.00022637585,0.00025172505,0.000009822231,0.00016385778,0.00009091156,0.00006591122],"category_scores_gemma":[0.005440114,0.00009334005,0.00021740538,0.00005469132,0.00007696106,0.000105353334,0.000093001705,0.00022865395,0.0000045983675],"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":[0.0009124378,0.00029065082,0.9940776,0.00003360813,0.00031306443,0.0001378355,0.00013610006,0.000030645235,0.00029566712,0.0003352461,0.0023611537,0.0010759471],"study_design_scores_gemma":[0.004260133,0.0020094358,0.9847311,0.00034235333,0.00024515347,0.00025894077,0.00027296,0.0005011182,0.000011501171,0.0038516182,0.0034133561,0.00010237524],"about_ca_topic_score_codex":0.00008225591,"about_ca_topic_score_gemma":0.000027472597,"teacher_disagreement_score":0.009346589,"about_ca_system_score_codex":0.00007819278,"about_ca_system_score_gemma":0.00006581534,"threshold_uncertainty_score":0.65127176},"labels":[],"label_agreement":null},{"id":"W3152074176","doi":"10.3126/nje.v11i1.36163","title":"Development and implementation of a potential coronavirus disease 2019 (COVID-19) vaccine: A systematic review and meta-analysis of vaccine clinical trials","year":2021,"lang":"en","type":"review","venue":"Nepal Journal of Epidemiology","topic":"SARS-CoV-2 and COVID-19 Research","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":"Ontario Confederation of University Faculty Associations","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Virology; Medicine; Meta-analysis; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Clinical trial; Coronavirus; Disease; Infectious disease (medical specialty); Internal medicine; Outbreak","score_opus":0.5774104479513261,"score_gpt":0.6273123977684656,"score_spread":0.04990194981713947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152074176","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032786798,0.9951923,0.00082711905,0.0009808036,0.00008964543,0.0024123031,0.00016454827,0.0000036023264,0.0000018153472],"genre_scores_gemma":[0.000058245063,0.9828584,0.0015163594,0.015233963,0.000114814065,0.000100051126,0.000080372585,0.000027935817,0.000009819212],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9701214,0.015046284,0.013339165,0.00057955243,0.0005365592,0.00037702723],"domain_scores_gemma":[0.97093123,0.016134309,0.011066318,0.0006211359,0.00077308627,0.00047393393],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.053368773,0.000511577,0.033261873,0.0010116015,0.000047445545,0.000008811349,0.00031521267,0.00036684112,0.00026071872],"category_scores_gemma":[0.051888693,0.00029324286,0.005917665,0.0006716437,0.000088307104,0.00006680367,0.00022026982,0.00071751414,0.000002105331],"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":[0.0003798734,0.00020754467,0.0017407623,0.6625411,0.29091048,0.00032727516,0.000036736,4.899942e-7,0.0000051550824,0.00007819544,0.0007197382,0.04305268],"study_design_scores_gemma":[0.0016574726,0.00038006564,0.00039064878,0.015607885,0.85108984,0.0005559005,0.000041459065,0.0000069002863,0.0000020001135,0.000030178024,0.13005215,0.0001855106],"about_ca_topic_score_codex":0.0001005646,"about_ca_topic_score_gemma":0.000054736916,"teacher_disagreement_score":0.6469332,"about_ca_system_score_codex":0.00015988438,"about_ca_system_score_gemma":0.003513191,"threshold_uncertainty_score":0.99995196},"labels":[],"label_agreement":null},{"id":"W4205316315","doi":"10.3126/nje.v11i4.41569","title":"Omicron: The pandemic propagator and lockdown instigator – what can be learnt from South Africa and such discoveries in future","year":2021,"lang":"en","type":"article","venue":"Nepal Journal of Epidemiology","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":14,"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":"Coronavirus disease 2019 (COVID-19); Medicine; Pandemic; Globe; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Demography; Disease; Pathology; Infectious disease (medical specialty); Sociology","score_opus":0.06753510566916551,"score_gpt":0.34505164902875396,"score_spread":0.2775165433595884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205316315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9278624,0.045418713,0.00004177345,0.026200432,0.00027695033,0.00013938561,0.00001393509,0.0000057015013,0.000040697672],"genre_scores_gemma":[0.9601032,0.0025412636,0.00031874306,0.036164597,0.00082003314,0.000006306213,0.0000033898957,0.000016676859,0.000025789677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977291,0.0007627395,0.00063712924,0.00028887508,0.00018233841,0.00039976623],"domain_scores_gemma":[0.9978576,0.0013810277,0.00026380375,0.00022741302,0.00014227621,0.00012792676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015830195,0.00017716154,0.0008006823,0.000106709296,0.0000872275,0.000041297204,0.00013184572,0.00022428429,0.000014608733],"category_scores_gemma":[0.0028519162,0.00010258278,0.00010403222,0.00014633215,0.0004902972,0.00016712287,0.00014176371,0.0010427147,0.000001323618],"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":[0.00084133033,0.00004653307,0.9550835,0.00005026192,0.00013594357,0.0004937151,0.0054525035,9.984069e-7,0.022173576,0.00013862565,0.0008999937,0.014683001],"study_design_scores_gemma":[0.007636414,0.0014648928,0.50051457,0.0008474312,0.00029782573,0.003771509,0.04702413,0.00022201188,0.0095261065,0.0054687047,0.4227719,0.00045454383],"about_ca_topic_score_codex":0.00016558786,"about_ca_topic_score_gemma":0.0006015359,"teacher_disagreement_score":0.45456898,"about_ca_system_score_codex":0.0000900865,"about_ca_system_score_gemma":0.00075998146,"threshold_uncertainty_score":0.45301342},"labels":[],"label_agreement":null},{"id":"W4390506915","doi":"10.3126/nje.v13i4.61271","title":"Addressing the inequalities in global genetic studies for the advancement of Genetic Epidemiology","year":2023,"lang":"en","type":"editorial","venue":"Nepal Journal of Epidemiology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","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":"Quest University Canada","funders":"","keywords":"Data science; Workflow; Genomics; Precision medicine; Personal genomics; Big data; Genetic data; Scale (ratio); Genetic epidemiology; Human genetics; Population; Computer science; Biology; Genome; Medicine; Data mining; Genetics; Geography","score_opus":0.1873365571411485,"score_gpt":0.4488631088889535,"score_spread":0.261526551747805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390506915","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0079288725,0.32109258,0.018425794,0.0052003516,0.64589375,0.00067287474,0.00076488126,0.0000048136826,0.000016123508],"genre_scores_gemma":[0.0047872174,0.38953614,0.010137135,0.0015869968,0.5933273,0.00019667867,0.00016414329,0.00009251303,0.00017187373],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99434,0.0014783976,0.0028180873,0.0004483835,0.0002032555,0.0007118585],"domain_scores_gemma":[0.9578718,0.037823528,0.002817207,0.000607026,0.0007878614,0.00009260211],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006056084,0.00038777615,0.0016900316,0.00008966988,0.00011925205,0.000006724607,0.00094084477,0.00075659616,0.0000038420108],"category_scores_gemma":[0.090898156,0.00023154115,0.000567015,0.000118669945,0.0007465402,0.0000032166934,0.0003862543,0.00054043566,0.0000013187378],"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":[0.0007900565,0.000046051046,0.0047473144,0.00026790498,0.0009939296,0.00001360975,0.00012492805,0.022744432,0.00017951606,0.0005537874,0.9516381,0.017900342],"study_design_scores_gemma":[0.0012241472,0.0015118169,0.0045185583,0.00029523458,0.00034471464,0.000030429323,0.0004833721,0.00019260462,0.000040492803,0.010435662,0.98065996,0.0002629953],"about_ca_topic_score_codex":0.00019922694,"about_ca_topic_score_gemma":0.0010244233,"teacher_disagreement_score":0.08484207,"about_ca_system_score_codex":0.0001683642,"about_ca_system_score_gemma":0.00077991595,"threshold_uncertainty_score":0.9441974},"labels":[],"label_agreement":null}]}