{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47357082,0.05956718,0.002437071,0.1712637,0.0024146233,0.00015846311,0.0010846703,0.000063268046,0.2894403],"genre_scores_gemma":[0.9682776,0.021946661,0.00031875772,0.0049768602,0.00047885117,0.000014837917,0.0001102583,0.00001674619,0.0038594764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994542,0.00019546165,0.000016059777,0.0000357204,0.00009893769,0.00019958898],"domain_scores_gemma":[0.99872607,0.00056772475,0.00019974334,0.000055013203,0.0002962436,0.00015517326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009452002,0.00026379534,0.00024947597,0.0017567889,0.0014044838,0.0041171415,0.00035161068,0.0011860032,0.0044075786],"category_scores_gemma":[0.0022507976,0.00010087172,0.00043731296,0.0026191615,0.0022189284,0.0035510696,0.0013249726,0.0022378305,0.00022035681],"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":[0.00032969576,0.0002795571,0.0895063,0.0022610063,0.00024380753,0.009166766,0.017752051,0.009656395,0.0026633549,0.6221865,0.11750414,0.1284505],"study_design_scores_gemma":[0.000022066964,0.00035734952,0.18350191,0.002151857,0.00020508785,0.0030449117,0.1379855,0.0081722345,0.0022013765,0.14361636,0.5185454,0.00019586705],"about_ca_topic_score_codex":0.01780062,"about_ca_topic_score_gemma":0.017970003,"teacher_disagreement_score":0.01780062,"about_ca_system_score_codex":0.0039425334,"about_ca_system_score_gemma":0.0025906134,"threshold_uncertainty_score":0.035394013},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886984,0.00017716612,0.000027485452,0.00027032336,0.000006333789,0.000005471707,0.00011635747,4.7804133e-7,0.0005266071],"genre_scores_gemma":[0.9994281,0.00028190145,0.000022731085,0.00003940467,0.0000035864862,0.0000041046624,0.000067004854,3.7106997e-7,0.00015289694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982315,0.000054219483,0.000013556164,0.000020393225,0.000013568477,0.00007513844],"domain_scores_gemma":[0.9996842,0.00006572176,0.00013065721,0.000011349156,0.000033008517,0.00007507801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039799107,0.00011976405,0.00019561687,0.0003044188,0.0008182953,0.00077043887,0.00013386973,0.00039490865,0.0014212838],"category_scores_gemma":[0.0010517867,0.0001632082,0.00015493465,0.00064633664,0.0003657169,0.00054175284,0.00067002286,0.0006647216,0.00013125915],"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":[0.000074931726,0.000079273836,0.9907578,0.000028179398,0.000018301183,0.0007026378,0.0032792306,0.00016567575,0.0001619949,0.00031926585,0.00047872457,0.003933919],"study_design_scores_gemma":[0.0000036008764,0.00006419817,0.9741056,0.000091680464,0.000012804417,0.00023909904,0.024053134,0.00045618735,0.00007022611,0.00019786802,0.0006970154,0.000008605845],"about_ca_topic_score_codex":0.02998648,"about_ca_topic_score_gemma":0.04630374,"teacher_disagreement_score":0.02998648,"about_ca_system_score_codex":0.00059233664,"about_ca_system_score_gemma":0.0005149792,"threshold_uncertainty_score":0.059623837},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973078,0.000055435466,0.000027570612,0.00008460892,0.0000029734858,0.000013015774,0.00026436214,0.0000023100756,0.0022418278],"genre_scores_gemma":[0.99907434,0.000089898276,0.00003867926,0.0000474909,0.000009757785,0.000008830687,0.00018610948,0.000001175569,0.00054374046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950886,0.00008794762,0.000043046013,0.000036744983,0.00014070176,0.00018270138],"domain_scores_gemma":[0.99684525,0.00061583484,0.0009257118,0.000063723164,0.0009481124,0.0006013224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048987975,0.00018600802,0.00014245114,0.0021879445,0.00095797505,0.0012456825,0.0003069569,0.00025937453,0.0014708646],"category_scores_gemma":[0.0021876956,0.00010449454,0.00019051356,0.002390588,0.0005619531,0.00048113117,0.00055068854,0.00047388233,0.0003937756],"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":[0.000074553805,0.0000946758,0.978641,0.000034675173,0.000017935006,0.0005105373,0.009528401,0.00008024922,0.0007966387,0.00016911009,0.0006865985,0.009365685],"study_design_scores_gemma":[9.983561e-7,0.00012107177,0.98585504,0.00000829439,0.000006318126,0.0002121377,0.012713796,0.000051762232,0.00012913172,0.000014527221,0.00088001916,0.0000069474204],"about_ca_topic_score_codex":0.020691192,"about_ca_topic_score_gemma":0.0310245,"teacher_disagreement_score":0.020691192,"about_ca_system_score_codex":0.0011665195,"about_ca_system_score_gemma":0.000846978,"threshold_uncertainty_score":0.04114151},"labels":[],"label_agreement":null}]}