{"meta":{"query_hash":"5f8724cd7fec","filters":{"venue":"Business Economics"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"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/5f8724cd7fec","api":"https://metacan.xera.ac/api/v1/cohort?venue=Business+Economics"},"results":[{"id":"W1492603588","doi":"10.2145/20080202","title":"The Depoliticization of Monetary Policy","year":2008,"lang":"en","type":"article","venue":"Business Economics","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Monetary policy; Economics; Politics; Independence (probability theory); Keynesian economics; Quarter (Canadian coin); Monetary economics; Sample (material); Power (physics); Macroeconomics; Political science; Law; History","score_opus":0.028521901625825394,"score_gpt":0.202948904220662,"score_spread":0.17442700259483662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492603588","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":[0.9389602,0.0010894872,0.0006704459,0.0024522094,0.00046024445,0.00014114317,0.00013814497,0.000029691519,0.056058433],"genre_scores_gemma":[0.99247015,0.004779214,0.00017156157,0.00043754905,0.0004483663,0.0000126749,0.000020101212,0.000028711229,0.0016316819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986956,0.000013100872,0.0007573106,0.00023748765,0.000006059393,0.00029043388],"domain_scores_gemma":[0.9988172,0.0001248449,0.00048448666,0.00047115513,0.00003843227,0.0000638726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028976722,0.00013826035,0.0003283449,0.00018559021,0.00026753757,0.00002747454,0.00032379062,0.00008547189,0.00007060402],"category_scores_gemma":[0.00018921742,0.00014235769,0.00009563173,0.00020999572,0.0002513591,0.00025468823,0.00006280124,0.000067305,0.00035534543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001708619,0.00002420552,0.017267773,0.000011116455,0.0000325838,5.5598696e-7,0.0001857231,0.0015517528,0.000003093472,0.98005193,0.00026984233,0.00058433955],"study_design_scores_gemma":[0.0007285256,0.000026899927,0.19486405,0.000008278888,0.000006348237,0.00006170374,0.00006008035,0.0029236479,0.0003320025,0.6483092,0.15227282,0.00040646497],"about_ca_topic_score_codex":0.0013854716,"about_ca_topic_score_gemma":0.000086922184,"teacher_disagreement_score":0.33174273,"about_ca_system_score_codex":0.000092984206,"about_ca_system_score_gemma":0.00010171726,"threshold_uncertainty_score":0.5805178},"labels":[],"label_agreement":null},{"id":"W1503138353","doi":"10.2145/20080307","title":"Detailed industry, product, geographic data from the 2007 economic census become available in 2009","year":2008,"lang":"en","type":"article","venue":"Business Economics","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"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":"Census; Nonfarm payrolls; Quarter (Canadian coin); Product (mathematics); Geography; American Community Survey; Demography; Population; Agriculture; Sociology","score_opus":0.08845844720103962,"score_gpt":0.22146089472982045,"score_spread":0.13300244752878082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503138353","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":[0.97265756,0.005225623,0.00008600632,0.0061087334,0.0012415986,0.00041018525,0.0038853404,0.00005075965,0.010334192],"genre_scores_gemma":[0.97442675,0.015357738,0.00053475343,0.0015346457,0.0016733782,0.0000706543,0.0020978146,0.0001076698,0.00419661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963549,0.000035321813,0.0015356103,0.0014155862,0.000030468302,0.0006281345],"domain_scores_gemma":[0.99662554,0.00018037837,0.00080414093,0.0021975916,0.00004492916,0.00014744175],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000846813,0.0004110165,0.0010027478,0.0003735217,0.00030205198,0.00015584222,0.0018101289,0.0003159674,0.0040818015],"category_scores_gemma":[0.00013831617,0.00042009624,0.00017508527,0.00036514315,0.00030332766,0.00091139955,0.00049930887,0.00050001405,0.007116204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005413009,0.00012186829,0.9206631,0.0000073222773,0.00021410295,0.000012910961,0.000048921942,0.0066929646,5.9618077e-7,0.006824601,0.065098345,0.00026111235],"study_design_scores_gemma":[0.00091618067,0.000009029688,0.5780342,0.000011536996,0.000022403861,0.000018981516,0.000032923053,0.028398525,0.0000027360911,0.0049590734,0.3870338,0.00056059373],"about_ca_topic_score_codex":0.023468945,"about_ca_topic_score_gemma":0.011633965,"teacher_disagreement_score":0.3426289,"about_ca_system_score_codex":0.000305493,"about_ca_system_score_gemma":0.00021304197,"threshold_uncertainty_score":0.99982506},"labels":[],"label_agreement":null},{"id":"W3033298577","doi":"10.1057/s11369-021-00213-8","title":"The market for acquiring card payments from small and medium-sized Canadian merchants","year":2021,"lang":"en","type":"article","venue":"Business Economics","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Liberian dollar; Payment; Commerce; Business; Payment card; Monetary economics; Economics; Finance","score_opus":0.02351740933420352,"score_gpt":0.18245226743636736,"score_spread":0.15893485810216385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033298577","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":[0.9771228,0.00019152716,0.000072213814,0.0038666187,0.0015886972,0.00026636422,0.00009153051,0.000030974334,0.016769294],"genre_scores_gemma":[0.9873486,0.00095505896,0.0007349317,0.0058964635,0.002371853,0.00009640199,0.00055137294,0.00010594513,0.0019393837],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99889225,0.0000010989498,0.0003133271,0.00033692637,0.000029220373,0.0004272015],"domain_scores_gemma":[0.9992653,0.00012352758,0.00015343177,0.00026644627,0.0001433384,0.000047940663],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002502693,0.00019076516,0.0002575819,0.00007795764,0.00040109642,0.001948215,0.00023559014,0.000083904655,0.000075367585],"category_scores_gemma":[0.00014925169,0.00016972767,0.000065347,0.00009216602,0.000054258144,0.0016532682,0.00020043006,0.000051785373,0.000049791903],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013657563,0.00027360028,0.11784694,0.0011273312,0.0023308198,0.00012813791,0.00035589625,0.0019267246,0.0004153335,0.22444476,0.08694217,0.5628425],"study_design_scores_gemma":[0.001657147,0.0000025866643,0.07737997,0.000047043453,0.00008573496,0.000004730113,0.0007920573,0.010394476,0.00009049548,0.04157131,0.8673986,0.0005758136],"about_ca_topic_score_codex":0.02319873,"about_ca_topic_score_gemma":0.38200527,"teacher_disagreement_score":0.7804564,"about_ca_system_score_codex":0.00009282205,"about_ca_system_score_gemma":0.00022642105,"threshold_uncertainty_score":0.99908787},"labels":[],"label_agreement":null},{"id":"W4213270561","doi":"10.1057/s11369-021-00250-3","title":"Blending data to understand the economic impact of COVID-19","year":2022,"lang":"en","type":"article","venue":"Business Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"University of Toronto","funders":"","keywords":"Census; Revenue; Work (physics); Coronavirus disease 2019 (COVID-19); Business; Economic impact analysis; Economics; State (computer science); Marketing; Finance; Engineering; Computer science","score_opus":0.2025592282323747,"score_gpt":0.3318579282522585,"score_spread":0.1292987000198838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213270561","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":[0.96511465,0.0007477617,0.006778903,0.01220315,0.0015792927,0.0008523896,0.0089216195,0.000073587245,0.00372866],"genre_scores_gemma":[0.9960941,0.00028707198,0.00017028386,0.0026843087,0.00018071201,0.000026920316,0.00019850394,0.000063002815,0.0002950663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99769324,0.000041218238,0.0009624546,0.00077299465,0.000034695455,0.0004953936],"domain_scores_gemma":[0.99663687,0.0004049233,0.0007580984,0.0019123512,0.000018551136,0.00026919736],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019508579,0.00026267683,0.00062370376,0.00048288263,0.00044541876,0.00012328429,0.0019565586,0.00006539399,0.0025948589],"category_scores_gemma":[0.00062940083,0.00027823128,0.00015838677,0.00043087607,0.000106673586,0.00047039762,0.0016246706,0.00020846473,0.00024139891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017485388,0.00005245392,0.032383658,0.00005953803,0.00026768007,0.0000039413817,0.001584778,0.83800715,0.000015972915,0.09636666,0.030602684,0.00048065616],"study_design_scores_gemma":[0.0029781316,0.0002250147,0.0723639,0.000011853751,0.000058059217,0.00010627929,0.0021915683,0.12271856,0.0000141520995,0.046507776,0.75142515,0.0013995368],"about_ca_topic_score_codex":0.008282529,"about_ca_topic_score_gemma":0.0003919629,"teacher_disagreement_score":0.72082245,"about_ca_system_score_codex":0.0065822075,"about_ca_system_score_gemma":0.0017326958,"threshold_uncertainty_score":0.999967},"labels":[],"label_agreement":null},{"id":"W4280490130","doi":"10.1057/s11369-022-00259-2","title":"Climate policy is macro policy: 2022 Volcker lecture at NABE conference","year":2022,"lang":"en","type":"article","venue":"Business Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Monetary policy; Volatility (finance); Inflation (cosmology); Monetary economics; Macroeconomics; Interest rate; Finance","score_opus":0.05644845044439231,"score_gpt":0.23970422161158492,"score_spread":0.1832557711671926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280490130","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":[0.8606333,0.0017843975,0.00022764089,0.05722474,0.0022232805,0.00071098754,0.016158082,0.00021544321,0.060822133],"genre_scores_gemma":[0.95067906,0.012016626,0.00030198737,0.024321342,0.0021056228,0.00039297977,0.00082269765,0.0002607992,0.009098875],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99628866,0.000031332034,0.0012304186,0.0011265945,0.000046307494,0.0012767086],"domain_scores_gemma":[0.9975982,0.000070123635,0.00095674343,0.0010477715,0.00006690195,0.00026030955],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00062823464,0.00053201715,0.0009728647,0.0009993337,0.0010743313,0.0002623708,0.0009134893,0.0002165508,0.012126031],"category_scores_gemma":[0.00012568776,0.00074807013,0.00029700546,0.0008474381,0.00016489689,0.00044969626,0.0016943823,0.00039511645,0.0023934718],"study_design_candidate":"theoretical_or_conceptual","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":[0.00030053483,0.0003024091,0.02758034,0.00019723816,0.00022401875,0.000017087208,0.0039872713,0.005065226,0.00006827284,0.9327219,0.0260435,0.0034921893],"study_design_scores_gemma":[0.0016103477,0.00006633606,0.012876061,0.000010111971,0.00001666888,0.00013033213,0.00022600971,0.009932077,0.00018321084,0.07944249,0.89422417,0.0012821704],"about_ca_topic_score_codex":0.0030908533,"about_ca_topic_score_gemma":0.0005028777,"teacher_disagreement_score":0.8681807,"about_ca_system_score_codex":0.0024109068,"about_ca_system_score_gemma":0.00027401792,"threshold_uncertainty_score":0.99949706},"labels":[],"label_agreement":null},{"id":"W4402523224","doi":"10.1057/s11369-024-00370-6","title":"Daniel McDowell: Bucking the Buck: US Financial Sanctions and the International Backlash against the Dollar","year":2024,"lang":"en","type":"article","venue":"Business Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","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":"University of Toronto","funders":"","keywords":"Backlash; Liberian dollar; Sanctions; Economics; Business; Law and economics; Monetary economics; Financial system; Finance; Political science; Law; Engineering","score_opus":0.017420301018580088,"score_gpt":0.20275760715227314,"score_spread":0.18533730613369306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402523224","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":[0.7397129,0.014872194,0.0013574316,0.107164174,0.011281354,0.0006508708,0.00070220005,0.00010854122,0.12415035],"genre_scores_gemma":[0.97975445,0.010085789,0.000055917004,0.00615139,0.0016852258,0.00006303635,0.000023258553,0.0000359747,0.002144974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987912,0.00001904037,0.00053405203,0.0003487945,0.0000321726,0.00027475058],"domain_scores_gemma":[0.9991044,0.0002272653,0.0001827184,0.00040114665,0.000050777508,0.000033735072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000814255,0.00019896527,0.0002845442,0.000086935615,0.00056825584,0.00088625273,0.0005958223,0.00009890294,0.000079759],"category_scores_gemma":[0.00022900497,0.000124266,0.00015724105,0.0002962814,0.0003366658,0.00026525458,0.0002470997,0.0002384726,0.00028050004],"study_design_candidate":"theoretical_or_conceptual","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":[0.000022406579,0.000012724988,0.0017525074,0.000013785476,0.000059646234,0.0000016954907,0.00057847786,0.0014151969,0.0000018725161,0.968632,0.024856145,0.002653541],"study_design_scores_gemma":[0.0003508243,0.0000042556067,0.035054952,0.000018256085,0.000016217848,0.000015208272,0.00011808102,0.0077599334,0.000005429825,0.03520594,0.9212761,0.00017482867],"about_ca_topic_score_codex":0.00070480653,"about_ca_topic_score_gemma":0.00046914569,"teacher_disagreement_score":0.9334261,"about_ca_system_score_codex":0.00009651669,"about_ca_system_score_gemma":0.00007647176,"threshold_uncertainty_score":0.85461557},"labels":[],"label_agreement":null},{"id":"W4412997239","doi":"10.1057/s11369-025-00417-2","title":"Raghuram G. Rajan and Rohit Lamba: Breaking the Mold: India’s Untraveled Path to Prosperity","year":2025,"lang":"en","type":"article","venue":"Business Economics","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Prosperity; Path (computing); Economics; Computer science","score_opus":0.010045951263799736,"score_gpt":0.18902272993621283,"score_spread":0.1789767786724131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412997239","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":[0.9329681,0.0006036743,0.0007761986,0.006506777,0.0012045904,0.0009898944,0.00013166771,0.00004479417,0.056774348],"genre_scores_gemma":[0.99334854,0.00061290304,0.0005672898,0.0032911506,0.00017738444,0.00015925856,0.000023335862,0.000032545417,0.0017875653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99819833,0.000017699984,0.0007332929,0.00057990936,0.000019126233,0.00045165917],"domain_scores_gemma":[0.9991076,0.000058565834,0.00027740785,0.00039373967,0.00006522369,0.0000974676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008578819,0.00025331162,0.00054327166,0.00023858104,0.00039771217,0.0003130073,0.00037208304,0.00017143055,0.00013956537],"category_scores_gemma":[0.00011562224,0.0002682092,0.00007549679,0.00031794386,0.00010541841,0.00022759354,0.00022234116,0.00016158825,0.00022473789],"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":[0.00004055339,0.000054803997,0.114815265,0.00007484399,0.0001767879,0.0000032281907,0.0023002387,0.00031128296,0.000002184372,0.8658991,0.0025329578,0.013788743],"study_design_scores_gemma":[0.0008567239,0.000010501342,0.80616236,0.000032724187,0.000014894878,0.0000053570134,0.00030472208,0.0018783988,0.000020912332,0.030021416,0.16022725,0.00046475837],"about_ca_topic_score_codex":0.0005006238,"about_ca_topic_score_gemma":0.00020182243,"teacher_disagreement_score":0.8358777,"about_ca_system_score_codex":0.0005831978,"about_ca_system_score_gemma":0.00025823063,"threshold_uncertainty_score":0.999977},"labels":[],"label_agreement":null}]}