{"meta":{"query_hash":"b74252035927","filters":{"venue":"International Journal of Financial Management and Economics"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/b74252035927","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Financial+Management+and+Economics"},"results":[{"id":"W3158386728","doi":"10.33545/26179210.2020.v3.i2.54","title":"The global pandemic: A critical study on the impact of Covid-19 on Indian economy","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Management and Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Livelihood; Quarter (Canadian coin); Pandemic; Coronavirus disease 2019 (COVID-19); State (computer science); Face (sociological concept); Business; Economics; World economy; Development economics; Economic growth; Economy; Political science; Agriculture; Geography; Sociology; Social science; Medicine","score_opus":0.07300752084046068,"score_gpt":0.3325761535867037,"score_spread":0.25956863274624303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158386728","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":[0.9695385,0.00017568629,0.00074339495,0.022213683,0.00062290736,0.0003168599,0.00013624626,0.0000073653914,0.0062453593],"genre_scores_gemma":[0.9941813,0.00038600992,0.000020998486,0.004996517,0.0003728177,0.0000066219786,0.0000013642997,0.0000095652185,0.00002484029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986222,0.00003328415,0.0008583994,0.00022029415,0.000060801136,0.0002050242],"domain_scores_gemma":[0.9983952,0.00049885747,0.00068089226,0.00016896358,0.00005608901,0.00019997837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009905703,0.00016269568,0.0003294236,0.00014172617,0.00013299525,0.00018574603,0.000725077,0.000054108135,0.00007069944],"category_scores_gemma":[0.0014075099,0.0001178255,0.00022482463,0.00009712409,0.00011779283,0.00020086841,0.00015541067,0.00022068321,0.000041719475],"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":[0.00096139434,0.00025045653,0.410006,0.000016621969,0.00053906214,0.000052609095,0.001553311,0.002798639,2.9402895e-7,0.5741977,0.0047768513,0.004847037],"study_design_scores_gemma":[0.00484895,0.0030878424,0.5142574,0.000050647828,0.00005314602,0.000049075825,0.0017955253,0.0021691925,0.0000050401713,0.33755517,0.13564765,0.00048036608],"about_ca_topic_score_codex":0.00010308829,"about_ca_topic_score_gemma":0.000028427397,"teacher_disagreement_score":0.23664255,"about_ca_system_score_codex":0.0006478937,"about_ca_system_score_gemma":0.00014542493,"threshold_uncertainty_score":0.48047844},"labels":[],"label_agreement":null},{"id":"W4384078070","doi":"10.33545/26179210.2023.v6.i2.207","title":"Food insecurity among households during the COVID-19 pandemic in Nigeria","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Management and Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"York University","funders":"","keywords":"Food security; Food insecurity; Poverty; Agriculture; Socioeconomic status; Government (linguistics); Quantile regression; Pandemic; Socioeconomics; Economic growth; Work (physics); Demographic economics; Development economics; Economics; Business; Environmental health; Geography; Coronavirus disease 2019 (COVID-19); Population","score_opus":0.04994722833274175,"score_gpt":0.26104355658459466,"score_spread":0.21109632825185293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384078070","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":[0.9954562,0.00027246398,0.00029110673,0.0017645537,0.0012465672,0.00015140828,0.000060000806,0.000022089587,0.00073561224],"genre_scores_gemma":[0.9943252,0.0037334566,0.00003421067,0.0013294489,0.00031781648,0.000009101357,0.0000041106277,0.000015573585,0.00023104697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986327,0.000017248223,0.00083254284,0.00021518061,0.00005536803,0.0002469354],"domain_scores_gemma":[0.9990179,0.00011119466,0.00059376174,0.00014369846,0.000024554934,0.000108913366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012929176,0.00013331934,0.00028457996,0.0006130629,0.00008902841,0.00013503588,0.0005298035,0.00008133106,0.000044031258],"category_scores_gemma":[0.0003594487,0.00013551216,0.00011230457,0.00020528867,0.0000778786,0.00042912,0.00023629624,0.00022664055,0.000035598034],"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":[0.000113703056,0.00002736648,0.97096664,0.000030344987,0.00008089604,0.000054323376,0.0009611431,0.0024777309,0.0000016812443,0.023615614,0.0007274066,0.0009431828],"study_design_scores_gemma":[0.0016060174,0.000054862765,0.8854246,0.000020167026,0.0000047148847,0.00003106692,0.000120993485,0.00040674847,0.0000026085877,0.054057125,0.058109935,0.00016117092],"about_ca_topic_score_codex":0.0001143135,"about_ca_topic_score_gemma":0.00075085874,"teacher_disagreement_score":0.085542016,"about_ca_system_score_codex":0.00055657764,"about_ca_system_score_gemma":0.000056055054,"threshold_uncertainty_score":0.5526025},"labels":[],"label_agreement":null},{"id":"W4414185637","doi":"10.33545/26179210.2025.v8.i1.605","title":"A critical study on the financial performance of selected mobile operators in India","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Management and Economics","topic":"Banking Sector Performance and Management","field":"Business, Management and Accounting","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); Financial services; Customer base; Core (optical fiber); Mobile telephony","score_opus":0.006865821454167627,"score_gpt":0.22456508773064202,"score_spread":0.2176992662764744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414185637","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":[0.99312156,0.000040139435,0.00004792429,0.00038305297,0.001193404,0.0002839947,9.813945e-7,0.000005340924,0.004923607],"genre_scores_gemma":[0.9980345,0.00015327496,0.000031134776,0.001345252,0.00034432532,0.000023322033,0.0000013830984,0.0000061812675,0.00006067131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990745,0.000008802274,0.0005008855,0.00013318752,0.00014031517,0.00014231712],"domain_scores_gemma":[0.99944013,0.0000451252,0.00021842438,0.000098557175,0.00019171294,0.0000060553957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050245406,0.000118855874,0.00019957173,0.0006515378,0.00007180003,0.00014180687,0.0004257087,0.00003479853,0.000028938526],"category_scores_gemma":[0.00010254386,0.00009573316,0.000049413342,0.00029838205,0.00004876372,0.0005726023,0.00019650029,0.00016154165,0.000006833375],"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":[0.00095058855,0.0010452438,0.55304,0.00018369983,0.0001886972,0.000051675997,0.00036186216,0.0015925049,0.000016278273,0.37989265,0.0026105852,0.06006616],"study_design_scores_gemma":[0.0012118531,0.00015336268,0.9801664,0.00017412749,0.00004907146,9.545058e-7,0.00033672407,0.0015570073,0.000036190162,0.0016837675,0.014511745,0.00011879777],"about_ca_topic_score_codex":0.00002394016,"about_ca_topic_score_gemma":0.00003990585,"teacher_disagreement_score":0.42712635,"about_ca_system_score_codex":0.000063293,"about_ca_system_score_gemma":0.00003592043,"threshold_uncertainty_score":0.39038846},"labels":[],"label_agreement":null}]}