{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b216cea65e87","filters":{"venue":"EPRA International Journal of Economics Business and Management Studies"}},"results":[{"id":"W4322500097","doi":"10.36713/epra12492","title":"IMPORTANCE OF DATA INTEGRITY IN PHARMACEUTICAL INDUSTRY","year":2023,"lang":"en","type":"article","venue":"EPRA International Journal of Economics Business and Management Studies","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Data integrity; Metadata; Scientific integrity; Business; Computer science; Data science; Data retention; Personal Integrity; Computer security; Risk analysis (engineering); Engineering; World Wide Web","authors":[{"name":"Sushmita Singh","is_ca":false},{"name":"Nikhil Punjabi","is_ca":false},{"name":"Drashti Shah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.532101745288129,"gpt":0.5177898149369912,"spread":0.01431193035113787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08174559,0.0006045394,0.001099164,0.005394117,0.007844061,0.02814743,0.00296651,0.008259965,0.00365387],"category_scores_gemma":[0.1712679,0.0007951175,0.001337949,0.0124391,0.02180052,0.02903387,0.007190632,0.01342594,0.001492332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01404283,"about_ca_system_score_gemma":0.03633405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202062,"about_ca_topic_score_gemma":0.006223943,"domain_scores_codex":[0.8675841,0.07201685,0.01223317,0.00784217,0.03721685,0.003106884],"domain_scores_gemma":[0.5877181,0.2537528,0.02739567,0.03171912,0.09482914,0.004585159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005322776,0.00006568265,0.005163329,0.00125835,0.00005851509,0.000588334,0.005507047,0.001166325,0.0005166671,0.8428,0.02389628,0.1189261],"study_design_scores_gemma":[0.00001918844,0.0001330823,0.002739738,0.003930235,0.00008705557,0.001206423,0.007014635,0.00262702,0.002340845,0.330273,0.6494929,0.0001360363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01555572,0.1008525,0.1574225,0.5449318,0.009604619,0.0006670778,0.0005692458,0.0003990543,0.1699975],"genre_scores_gemma":[0.5644715,0.1465046,0.1439439,0.09542075,0.01741399,0.0006663736,0.0006479975,0.000382078,0.03054886],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08174559,"threshold_uncertainty_score":0.4323172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3200788577","doi":"10.36713/epra8479","title":"CLIENTS’ EMPIRICISM TOWARDS UPI PLATFORMS","year":2021,"lang":"en","type":"article","venue":"EPRA International Journal of Economics Business and Management Studies","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Rotman School of Management, University of Toronto; University of Toronto","keywords":"Payment; Perception; Appeal; Data collection; Computer science; Psychology; Business; Statistics; World Wide Web; Mathematics","authors":[{"name":"Praveen M.V","is_ca":false},{"name":"Gopika.MK","is_ca":false},{"name":"Mahesh. P. B","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1743902637475458,"gpt":0.4050644451721714,"spread":0.2306741814246256,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006210291,0.0002421049,0.0003738553,0.001395752,0.003347648,0.01052874,0.0007272817,0.001236694,0.006645782],"category_scores_gemma":[0.02305548,0.0003331329,0.0003016668,0.001213553,0.005043818,0.002187126,0.0029164,0.001990718,0.001008994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002633121,"about_ca_system_score_gemma":0.002482422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006984293,"about_ca_topic_score_gemma":0.004152614,"domain_scores_codex":[0.9908435,0.004265602,0.0003720911,0.0004903662,0.00293565,0.001092736],"domain_scores_gemma":[0.98289,0.00929681,0.002603105,0.001282768,0.002706801,0.001220436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002562755,0.0006972338,0.5113071,0.0003464875,0.00009973797,0.003161001,0.3500814,0.0005402665,0.003564968,0.03955592,0.003267484,0.08712219],"study_design_scores_gemma":[0.00003590053,0.0004467516,0.2365373,0.0006180615,0.0001177169,0.003010713,0.6951243,0.004633138,0.002935254,0.01645724,0.03996459,0.000119019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679961,0.0002656297,0.001056022,0.002475029,0.00001341659,0.00004537438,0.00001896563,0.00001515444,0.02811432],"genre_scores_gemma":[0.9981062,0.0001757589,0.0001795133,0.0002437124,0.000005221533,0.00001201348,0.000006434649,0.000004290944,0.001266868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01052874,"threshold_uncertainty_score":0.03284359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4286284509","doi":"10.36713/epra10454","title":"PROJECTION OF COVID 19: PEOPLE, ECONOMY & ENVIRONMENT","year":2022,"lang":"en","type":"article","venue":"EPRA International Journal of Economics Business and Management Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Seriousness; Coronavirus disease 2019 (COVID-19); Economy; Recession; Pandemic; Quarter (Canadian coin); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Civilization; Business; Political science; Geography; Keynesian economics; Virology; Medicine; Law; Outbreak","authors":[{"name":"Ridhima Sharma","is_ca":false},{"name":"Isha Narula","is_ca":false},{"name":"Ms. Kriti Dhingra","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06947035698520392,"gpt":0.2837980178086112,"spread":0.2143276608234073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000218877,0.0002943161,0.0001185132,0.00124025,0.001048621,0.002885958,0.0003184871,0.0006100162,0.01446573],"category_scores_gemma":[0.000644566,0.0001273415,0.0004160405,0.001705442,0.0005917213,0.001405202,0.002019604,0.001649445,0.001255444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003474804,"about_ca_system_score_gemma":0.003158906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05670814,"about_ca_topic_score_gemma":0.05888868,"domain_scores_codex":[0.9996753,0.00005134151,0.00001036474,0.00002092034,0.00008421432,0.000157838],"domain_scores_gemma":[0.9996578,0.00002861912,0.00005775056,0.00001335935,0.0001144412,0.0001280628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000405163,0.0003908233,0.379359,0.001175833,0.0001618357,0.005897971,0.007972127,0.01030486,0.003752627,0.2627518,0.1882291,0.1395988],"study_design_scores_gemma":[0.00002650258,0.0003823558,0.605372,0.000478446,0.0001183238,0.002846796,0.03745513,0.007558652,0.002282101,0.02871615,0.314595,0.0001684479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6288868,0.003622731,0.003316807,0.03156983,0.001265562,0.0001719163,0.02475455,0.0005737248,0.3058381],"genre_scores_gemma":[0.9770135,0.002325671,0.000893091,0.0007438937,0.0001308356,0.00004457839,0.002603387,0.00002875555,0.01621627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05670814,"threshold_uncertainty_score":0.1127561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206263202","doi":"10.36713/epra7683","title":"THE IMPACT OF CORONAVIRUS ON FINANCIAL MARKETS OF DEVELOPED COUNTRIES","year":2021,"lang":"en","type":"article","venue":"EPRA International Journal of Economics Business and Management Studies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Financial market; Capital market; Business; Stock market; Emerging markets; Volatility (finance); Finance; Treasury; Financial system; Financial economics; Economics; Geography","authors":[{"name":"Mehjbeen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07549274450487511,"gpt":0.3246161458349973,"spread":0.2491234013301221,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007405652,0.0002444042,0.0002017267,0.001314256,0.0003689118,0.001716525,0.000158474,0.0003321907,0.001651282],"category_scores_gemma":[0.003424609,0.00009975817,0.0003099792,0.001679391,0.0004353663,0.001068763,0.0005635112,0.0003786671,0.0001697207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006766975,"about_ca_system_score_gemma":0.0005452587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01049071,"about_ca_topic_score_gemma":0.008318894,"domain_scores_codex":[0.9994411,0.0001411229,0.00005012026,0.00007084996,0.000171921,0.0001248031],"domain_scores_gemma":[0.9980578,0.0003775045,0.001091241,0.00005925811,0.0002836082,0.0001304787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001110651,0.00007538647,0.9663767,0.00009015766,0.0001046907,0.0007614215,0.0007397601,0.001727103,0.0006577693,0.00279255,0.002596823,0.02396655],"study_design_scores_gemma":[0.000004444672,0.00006439958,0.991702,0.00003825576,0.00002382905,0.00016783,0.0009404672,0.001642807,0.0002616587,0.0008391991,0.004303523,0.00001161025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827694,0.003136954,0.0003802065,0.0008154073,0.00003408547,0.000032963,0.001732477,0.00001475133,0.01108386],"genre_scores_gemma":[0.9974231,0.001037176,0.000201055,0.00008384,0.00003706213,0.000009563199,0.0005533356,0.000002534921,0.0006523165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01049071,"threshold_uncertainty_score":0.0208593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}