{"meta":{"query_hash":"e172f949d4cc","filters":{"venue":"Global Business and Economics Review"},"cohort_total":14,"direct_labels_cover":0,"predictions_cover":14,"exported":14,"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/e172f949d4cc","api":"https://metacan.xera.ac/api/v1/cohort?venue=Global+Business+and+Economics+Review"},"results":[{"id":"W1979451679","doi":"10.1504/gber.2005.008292","title":"Role of Japan-US relative GDP and broad money supply in determining the yen-dollar exchange rate","year":2005,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"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":"Economics; Liberian dollar; Money supply; Exchange rate; Broad money; Monetary economics; Cointegration; Us dollar; Relative price; Quarter (Canadian coin); Econometrics; Interest rate; Finance","score_opus":0.03565167476228792,"score_gpt":0.23021660641565583,"score_spread":0.1945649316533679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979451679","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":[0.80566025,0.18470961,0.000009302772,0.0017669095,0.000079240664,0.00035366442,0.00038924618,0.000006661207,0.007025087],"genre_scores_gemma":[0.74677175,0.25152004,0.00015917259,0.0013485139,0.000078742705,0.000020497659,0.000018684346,0.0000129105765,0.00006969691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830174,0.000030515186,0.0009126569,0.00040361553,0.000012064011,0.00033943012],"domain_scores_gemma":[0.99901336,0.00006158357,0.00051046204,0.00030398573,0.000017102331,0.000093483555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078128005,0.00023837315,0.000833613,0.00007833803,0.00008500802,0.00006264622,0.00019309096,0.000097500466,0.00014959976],"category_scores_gemma":[0.0001038532,0.00022409439,0.000084010266,0.0001818993,0.000114690236,0.00058861455,0.00012873753,0.00010621878,0.00008975974],"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":[0.00006370068,0.00011799349,0.78176737,0.0014152195,0.00017006783,0.000001359924,0.0006257873,0.0013447129,0.0000029000923,0.04678072,0.0010362987,0.1666739],"study_design_scores_gemma":[0.0009947151,0.0000389463,0.8353495,0.00044034314,0.000036432735,0.000028472481,0.000038051392,0.0077106757,0.0000035960286,0.008882423,0.14604771,0.00042915624],"about_ca_topic_score_codex":0.0012553722,"about_ca_topic_score_gemma":0.0005495718,"teacher_disagreement_score":0.16624475,"about_ca_system_score_codex":0.00011057624,"about_ca_system_score_gemma":0.000018387424,"threshold_uncertainty_score":0.91383034},"labels":[],"label_agreement":null},{"id":"W1984681691","doi":"10.1504/gber.2009.025382","title":"A strategic matrix model for the apple industry in Lebanon","year":2009,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Organic Food and Agriculture","field":"Agricultural and Biological Sciences","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":"Rivalry; Government (linguistics); Subsidy; Private sector; Value (mathematics); Business model; Public sector; Strategic planning; Business; Industrial organization; Economics; Marketing; Economy; Economic growth; Market economy; Computer science; Microeconomics","score_opus":0.034137714805829326,"score_gpt":0.24441803827321917,"score_spread":0.21028032346738984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984681691","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":[0.7926718,0.117257856,0.000012462458,0.08726499,0.000107013,0.0011168398,0.00034905432,0.000033593704,0.0011864052],"genre_scores_gemma":[0.9358921,0.061507203,0.00003739956,0.0022777752,0.00014130086,0.000018874462,0.000047233712,3.749224e-7,0.00007770298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946404,0.000006870968,0.00017423205,0.0001725747,0.000022132599,0.00016017229],"domain_scores_gemma":[0.99982435,0.000018591494,0.00005933942,0.000036478436,0.000023874369,0.00003739068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012056523,0.000104549916,0.00019454901,0.0000015319947,0.0000812415,0.000060785842,0.00014047703,0.00013877382,0.00003108026],"category_scores_gemma":[0.000007238929,0.000031193013,0.00004443128,0.0001954147,0.000013696539,0.000077417695,0.000021875643,0.0000985124,0.0000043515374],"study_design_candidate":"design_other","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":[0.00006499238,0.0002953845,0.0013453305,0.00082817784,0.00003688735,0.0000038451435,0.000029188188,0.0020837083,0.0013997906,0.06903992,0.02171253,0.9031602],"study_design_scores_gemma":[0.0018092665,0.0004997415,0.29766127,0.0031982532,0.00031454556,0.0002763341,0.00074817607,0.05213848,0.000036664267,0.086054265,0.5549918,0.0022711924],"about_ca_topic_score_codex":0.000053871434,"about_ca_topic_score_gemma":0.00035261083,"teacher_disagreement_score":0.90088904,"about_ca_system_score_codex":0.000020835001,"about_ca_system_score_gemma":0.000011057357,"threshold_uncertainty_score":0.12720142},"labels":[],"label_agreement":null},{"id":"W1997052549","doi":"10.1504/gber.2010.036058","title":"Aid and happiness: untangling the causal relationship in nine European donor countries","year":2010,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"International Development and Aid","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Happiness; Causality (physics); Granger causality; Test (biology); Economics; Causal model; Simple (philosophy); Positive economics; Demographic economics; Psychology; Econometrics; Social psychology; Mathematics; Epistemology; Statistics; Philosophy","score_opus":0.02098730417365227,"score_gpt":0.27644664024107035,"score_spread":0.2554593360674181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997052549","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":[0.83150905,0.0213028,0.000019047548,0.03800211,0.000779429,0.00034947039,0.000024087914,0.000022979511,0.10799103],"genre_scores_gemma":[0.9051597,0.092900634,0.00012690986,0.001306618,0.00021244351,0.0000073462334,0.000012667673,0.000004387145,0.00026926998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994895,0.00004153202,0.00019191591,0.00012086207,0.00004237063,0.00011382376],"domain_scores_gemma":[0.99971664,0.000052833668,0.000071781826,0.000058362686,0.0000679364,0.0000324263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008355934,0.00006861297,0.000119753924,0.00001558648,0.0002468855,0.00012816735,0.000108694236,0.000026275591,0.00007675017],"category_scores_gemma":[0.00019029119,0.00005215763,0.000012612294,0.00012812893,0.00014478252,0.00020872895,0.000049388305,0.00007142388,0.000027622438],"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":[0.0000051431134,0.0000075161247,0.2472308,0.00015977296,0.000008264398,0.0000035062315,0.00030788378,0.00000630252,6.863421e-7,0.7408324,0.00060055783,0.010837174],"study_design_scores_gemma":[0.0001586803,0.0000017011004,0.39923465,0.0003444206,0.000011512605,0.000010023747,0.00008815682,0.000027525957,1.724775e-7,0.0043819835,0.5956211,0.000120055614],"about_ca_topic_score_codex":0.00053259946,"about_ca_topic_score_gemma":0.005637041,"teacher_disagreement_score":0.73645043,"about_ca_system_score_codex":0.000032149856,"about_ca_system_score_gemma":0.000072957795,"threshold_uncertainty_score":0.31456012},"labels":[],"label_agreement":null},{"id":"W2038026978","doi":"10.1504/gber.2003.006197","title":"Risk measures and the cost of equity in the new economy biotechnology industry","year":2003,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Downside risk; Equity (law); Business; Equity risk; Risk management; Investment (military); Economics; Financial risk; Business risks; Cost of equity; Finance; Risk analysis (engineering); Private equity; Cost of capital; Microeconomics","score_opus":0.29342168099388594,"score_gpt":0.42566861776707765,"score_spread":0.13224693677319171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038026978","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1128377,0.6186604,0.0021213405,0.21958101,0.0005576236,0.0037999698,0.000466155,0.000030756662,0.041945048],"genre_scores_gemma":[0.52697414,0.45034984,0.0004505311,0.02190309,0.00011036852,0.00014273207,0.00001056312,0.000017299371,0.000041447758],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962085,0.00040913676,0.0025991153,0.0004390066,0.000028539249,0.0003156924],"domain_scores_gemma":[0.9970077,0.0004889341,0.0018060565,0.0005646158,0.000041175266,0.00009148715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016957695,0.00020882036,0.0012865601,0.0000818237,0.000141378,0.000090222835,0.00038136635,0.00026517548,0.00007187113],"category_scores_gemma":[0.0031384076,0.00016683372,0.00008632796,0.00031389683,0.0003399903,0.00027068524,0.0001151351,0.00029395384,0.00006457759],"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":[0.000011406629,0.000028113274,0.029752363,0.0007812856,0.000050015595,3.35555e-7,0.0001048177,0.00007248487,2.3740663e-8,0.95370823,0.0043775733,0.011113326],"study_design_scores_gemma":[0.002259749,0.000022886035,0.038732596,0.00052865455,0.00005361325,0.00008862687,0.00040313887,0.00035150826,9.834582e-7,0.22126761,0.73592484,0.00036582485],"about_ca_topic_score_codex":0.0022517384,"about_ca_topic_score_gemma":0.00065170636,"teacher_disagreement_score":0.73244065,"about_ca_system_score_codex":0.00020032302,"about_ca_system_score_gemma":0.00022070747,"threshold_uncertainty_score":0.68032813},"labels":[],"label_agreement":null},{"id":"W2056443607","doi":"10.1504/gber.2013.053065","title":"The influence of demographic variables on relationship banking: an international study","year":2013,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":2,"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":"Snowball sampling; Likert scale; Marketing; Sample (material); Descriptive statistics; Business; Order (exchange); Scale (ratio); Empirical research; Psychology; Statistics; Finance; Geography","score_opus":0.03063385390539468,"score_gpt":0.2657057407071318,"score_spread":0.23507188680173713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056443607","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":[0.99121594,0.0016581237,0.000004853566,0.0022158117,0.00017378654,0.0004227822,0.000004162539,0.000018892975,0.0042856415],"genre_scores_gemma":[0.99135435,0.005878728,0.000017495271,0.0025550202,0.00012772657,0.00003713102,0.000015862814,0.000005431906,0.000008234428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992042,0.000019347557,0.00038080048,0.00019702117,0.0000749751,0.00012362187],"domain_scores_gemma":[0.9991406,0.00005753648,0.00027235388,0.00027052042,0.0002465338,0.000012436544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059258606,0.00011611,0.00020187558,0.000042868844,0.00019805692,0.00029132518,0.00031817507,0.000030651456,0.00006564789],"category_scores_gemma":[0.00012309683,0.00008502684,0.000034621375,0.00036165034,0.0000492935,0.0012171888,0.00011300637,0.000057677822,0.00007532349],"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":[0.000013997802,0.00015355523,0.76277184,0.0007503539,0.000045213583,4.332919e-7,0.000011675801,0.0007549136,3.7889657e-7,0.21531671,0.00021348057,0.019967409],"study_design_scores_gemma":[0.00016448775,0.000007078147,0.96507764,0.0003101418,0.000046813497,0.0000014986721,0.0000653136,0.0003697475,2.3802126e-8,0.011243122,0.022606056,0.00010807875],"about_ca_topic_score_codex":0.0018118504,"about_ca_topic_score_gemma":0.0003581769,"teacher_disagreement_score":0.2040736,"about_ca_system_score_codex":0.000015737429,"about_ca_system_score_gemma":0.000014306002,"threshold_uncertainty_score":0.3467294},"labels":[],"label_agreement":null},{"id":"W2068773663","doi":"10.1504/gber.2012.044479","title":"Style matters: investment performance presentation effects on investor preferences","year":2012,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Term (time); Presentation (obstetrics); Investment (military); Style (visual arts); Manager of managers fund; Economics; Investment performance; Investment decisions; Business; Monetary economics; Actuarial science; Finance; Microeconomics; Behavioral economics; Return on investment; Political science","score_opus":0.03773042073688197,"score_gpt":0.2340394129347012,"score_spread":0.19630899219781922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068773663","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":[0.79665756,0.13485134,0.000026823447,0.0027721021,0.0010525499,0.0007312332,0.000099561854,0.000038024034,0.06377083],"genre_scores_gemma":[0.7188383,0.25867602,0.00035591083,0.02138004,0.00032169218,0.00017605735,0.00006276851,0.000020278105,0.00016894158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987894,0.000019515175,0.00050187134,0.0003218058,0.000025209392,0.00034219763],"domain_scores_gemma":[0.9992532,0.000025562262,0.0003252964,0.00024025401,0.000021583846,0.00013409188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034067113,0.00022761685,0.00049681246,0.000052156724,0.00010988575,0.000101308004,0.0001417675,0.00006630727,0.00010115979],"category_scores_gemma":[0.000047282952,0.00021965496,0.000056961595,0.00017240318,0.00006596493,0.0008473592,0.00006751707,0.00006211728,0.00042837538],"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":[0.000024584479,0.0001413059,0.1569411,0.004962117,0.00006444118,6.421971e-7,0.00007122768,0.000016301448,9.3021856e-7,0.80004257,0.012632089,0.025102712],"study_design_scores_gemma":[0.0004057812,0.00010813934,0.6386595,0.0010940995,0.000027861057,0.0000093192,0.000012786505,0.000110435016,0.000011133012,0.013699851,0.34541038,0.00045071912],"about_ca_topic_score_codex":0.0001520641,"about_ca_topic_score_gemma":0.0000069742127,"teacher_disagreement_score":0.7863427,"about_ca_system_score_codex":0.00012611995,"about_ca_system_score_gemma":0.000021152453,"threshold_uncertainty_score":0.8957269},"labels":[],"label_agreement":null},{"id":"W2069249859","doi":"10.1504/gber.2009.031175","title":"Product differentiation and the choice of alliance partners","year":2009,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Business Strategy and Innovation","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":false,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Competitor analysis; Product differentiation; Alliance; Business; Industrial organization; Product (mathematics); Element (criminal law); Marketing; Strategic Choice; Microeconomics; New product development; Economics; Cournot competition","score_opus":0.02985058713417044,"score_gpt":0.26109615058414065,"score_spread":0.23124556344997022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069249859","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":[0.74349064,0.14682934,0.00037107835,0.08352009,0.00065945776,0.001566026,0.000012418511,0.00007647004,0.023474464],"genre_scores_gemma":[0.9337314,0.061547138,0.000034018343,0.004370356,0.0002576356,0.00000968586,0.000032704953,0.0000037794653,0.000013314362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993392,0.0000061181186,0.00031291283,0.00018890675,0.00004027354,0.00011254194],"domain_scores_gemma":[0.999344,0.000010272298,0.00031533293,0.00014714603,0.00017785621,0.0000054008738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606626,0.00012205223,0.00029262947,0.000017375969,0.00009056172,0.000117636875,0.00009269999,0.000026671752,0.00001714706],"category_scores_gemma":[0.00009277244,0.00008379395,0.000027303213,0.00037238005,0.000090817484,0.0007237749,0.000037861057,0.000036849648,0.0000067172828],"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":[0.00006677106,0.000047653866,0.015479348,0.0033898673,0.000028827044,3.176476e-7,0.0000033401514,0.000055118584,0.000012467804,0.7138961,0.0016973177,0.26532286],"study_design_scores_gemma":[0.0011969717,0.0000047478616,0.86716664,0.001083672,0.00017608207,0.000006684963,0.0000066462467,0.0014787059,0.000003904037,0.022591395,0.10601068,0.00027386253],"about_ca_topic_score_codex":0.00014658329,"about_ca_topic_score_gemma":0.000026636786,"teacher_disagreement_score":0.8516873,"about_ca_system_score_codex":0.000009321034,"about_ca_system_score_gemma":0.00001189014,"threshold_uncertainty_score":0.3417018},"labels":[],"label_agreement":null},{"id":"W2097698296","doi":"10.1504/gber.2010.034892","title":"Dynamic capabilities for strategic green advantage: green electricity purchasing in North American firms, SMEs, NGOs and agencies","year":2010,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo","keywords":"Business; Dynamic capabilities; Purchasing; Industrial organization; Electricity; Marketing; Commerce; Engineering","score_opus":0.017957566711838586,"score_gpt":0.2514379668789406,"score_spread":0.233480400167102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097698296","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":[0.9850223,0.008693681,0.00001849724,0.0035489101,0.00013066962,0.0007055253,0.00006800416,0.00004216042,0.0017702403],"genre_scores_gemma":[0.970808,0.025429841,0.00020740653,0.0029110177,0.00033302928,0.00009023037,0.00014481405,0.000021449152,0.00005415736],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987081,0.0000074845366,0.00041742067,0.00038346666,0.00005795622,0.000425525],"domain_scores_gemma":[0.99931955,0.000027814782,0.00029587545,0.00020269566,0.00012063871,0.000033405257],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035775747,0.000267689,0.00052985974,0.00012020126,0.00015047962,0.000287139,0.00021993283,0.000047561174,0.00001990855],"category_scores_gemma":[0.00007953082,0.00024825873,0.000053856373,0.0006321672,0.00015655962,0.0009945323,0.00014828837,0.00012465617,0.000007798622],"study_design_candidate":"observational","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":[0.00009066315,0.0001200439,0.35572678,0.017408647,0.000090705296,0.000007093724,0.000060560582,0.0000181134,0.000039655,0.07443156,0.00049976027,0.55150646],"study_design_scores_gemma":[0.0020128314,0.00006314086,0.6362971,0.0006993566,0.0003456271,0.000068978836,0.00036619356,0.017826593,0.000001249603,0.037790295,0.30259407,0.0019345614],"about_ca_topic_score_codex":0.0104801655,"about_ca_topic_score_gemma":0.05427339,"teacher_disagreement_score":0.5495719,"about_ca_system_score_codex":0.00007204111,"about_ca_system_score_gemma":0.00008397918,"threshold_uncertainty_score":0.99999696},"labels":[],"label_agreement":null},{"id":"W2145980151","doi":"10.1504/gber.2010.032316","title":"First Nations gaming in Saskatchewan: fostering entrepreneurship, economic diversification, cultural preservation and awareness: a proposed research agenda","year":2010,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"First Nations University of Canada","funders":"","keywords":"Diversification (marketing strategy); Entrepreneurship; Indigenous; Revenue; Economic growth; Investment (military); Business; Economics; Political science; Marketing; Finance","score_opus":0.0828530914627663,"score_gpt":0.3286701076573353,"score_spread":0.24581701619456897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145980151","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":[0.97345996,0.01073813,0.0000050490094,0.00791763,0.0004000151,0.00059747044,0.00007667771,0.000018648427,0.00678645],"genre_scores_gemma":[0.8841069,0.11529124,0.000066189285,0.00008995001,0.00011042214,0.000028001223,0.000020070742,0.0000043485384,0.00028291775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99923885,0.00005465983,0.00021183868,0.00024959297,0.000053683692,0.00019139338],"domain_scores_gemma":[0.9995428,0.00005734346,0.0000790875,0.00012483181,0.00010848074,0.00008747472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006626023,0.00006557058,0.00015346032,0.00013399485,0.0010396561,0.00045563295,0.00014722125,0.00006212947,0.000113988775],"category_scores_gemma":[0.00026189536,0.00008205915,0.000021468857,0.0002611659,0.000301338,0.00072743907,0.000103882754,0.000089720386,0.00001903212],"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":[0.000051217,0.00017918543,0.35101002,0.009917419,0.0000851348,0.000021297014,0.032380227,0.00031497303,0.000067451874,0.19940716,0.009632018,0.39693388],"study_design_scores_gemma":[0.00025159473,0.0000048658862,0.13631362,0.00059092254,0.00001843421,0.000006619562,0.0019839837,0.00012418223,8.162472e-7,0.0015021963,0.85899484,0.00020794578],"about_ca_topic_score_codex":0.25563258,"about_ca_topic_score_gemma":0.978081,"teacher_disagreement_score":0.8493628,"about_ca_system_score_codex":0.0005293497,"about_ca_system_score_gemma":0.0005742103,"threshold_uncertainty_score":0.7996299},"labels":[],"label_agreement":null},{"id":"W3121862668","doi":"10.1504/gber.2009.025383","title":"Internal firm structure, external market conditions and competitive dynamics","year":2009,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"University of Northern British Columbia","keywords":"Dynamics (music); Industrial organization; Business; Economics; Physics","score_opus":0.008397348456943246,"score_gpt":0.21397916302547015,"score_spread":0.20558181456852692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121862668","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":[0.8890522,0.047350276,0.0010479883,0.007486889,0.0007511875,0.00064046064,0.0008599157,0.00007403339,0.052737027],"genre_scores_gemma":[0.927621,0.06148848,0.00013271743,0.01018536,0.0003638331,0.0000049243868,0.0000813415,0.000008562898,0.00011375162],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999228,0.00000399683,0.0002680056,0.00027299736,0.000045515142,0.0001814552],"domain_scores_gemma":[0.999455,0.000008383045,0.00028326677,0.00013390451,0.00010082525,0.000018643244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008703395,0.00018657248,0.00033353645,0.00002689684,0.0001060154,0.00021218961,0.00012676681,0.000041244337,0.00021453695],"category_scores_gemma":[0.000024208584,0.00017645964,0.000040999646,0.00017596433,0.00006355636,0.00075698894,0.000079747326,0.00006669858,0.000023945453],"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":[0.000054431883,0.000069301444,0.16806245,0.002250827,0.000042986758,0.00005369287,0.0000028999702,0.00003426633,0.0000034859218,0.6577654,0.01404039,0.1576199],"study_design_scores_gemma":[0.00037206017,0.000006754406,0.8748216,0.001454999,0.000064707885,0.000091913476,0.00000520604,0.0012929826,1.3977483e-7,0.026935196,0.09470315,0.00025125922],"about_ca_topic_score_codex":0.0002554211,"about_ca_topic_score_gemma":0.00029839244,"teacher_disagreement_score":0.70675915,"about_ca_system_score_codex":0.00005329867,"about_ca_system_score_gemma":0.000018276076,"threshold_uncertainty_score":0.7195815},"labels":[],"label_agreement":null},{"id":"W3124067355","doi":"10.1504/gber.2016.078669","title":"Parametric and non-parametric analysis of tax changes","year":2016,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Housing Market and Economics","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":"McMaster University","funders":"Australian Government","keywords":"Parametric statistics; Economics; Property tax; Public economics; Econometrics; Government (linguistics); Parametric model; Estimation; Sample (material); Residential property; Semiparametric model; Goods and services; Tax policy; Property value; Tax reform; Nonparametric statistics; Economy; Mathematics; Finance; Statistics; Economic geography","score_opus":0.02531870377105,"score_gpt":0.2276259690972214,"score_spread":0.2023072653261714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124067355","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":[0.86593825,0.09829289,0.0024445942,0.003531075,0.00046792623,0.0005178925,0.0011253362,0.000032346565,0.027649717],"genre_scores_gemma":[0.52129984,0.47793016,0.00034221032,0.00030019844,0.00003320926,0.000014909794,0.000012889618,0.000012097433,0.000054467077],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981339,0.000013823823,0.0008891205,0.00060275383,0.000019562514,0.00034083644],"domain_scores_gemma":[0.9984956,0.000115140465,0.0007410844,0.0004351773,0.00006278913,0.00015020628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007668279,0.00025926632,0.0014997618,0.0006270185,0.000067928435,0.000073280746,0.00020828743,0.00012365928,0.0001782527],"category_scores_gemma":[0.00026625526,0.00023094832,0.00016714654,0.002080824,0.00014190818,0.00026602056,0.00015542691,0.000045197252,0.00006306273],"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":[0.00003650022,0.0001081363,0.43736726,0.0018718208,0.0012606111,0.0000030666408,0.000019312509,0.00009463609,0.0000024709675,0.041161444,0.0007940019,0.51728076],"study_design_scores_gemma":[0.0018324114,0.00013602896,0.7226316,0.0011265656,0.0014838661,0.00004144072,0.000021160067,0.0035421317,0.000009170363,0.018174864,0.2493646,0.0016361721],"about_ca_topic_score_codex":0.00040754883,"about_ca_topic_score_gemma":0.000191408,"teacher_disagreement_score":0.51564455,"about_ca_system_score_codex":0.00012854744,"about_ca_system_score_gemma":0.000025039493,"threshold_uncertainty_score":0.94178},"labels":[],"label_agreement":null},{"id":"W4254843423","doi":"10.1504/gber.2017.082591","title":"Determinants of information disclosure by companies listed on the Warsaw Stock Exchange in Poland","year":2017,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Accounting Theory and Financial Reporting","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Accounting; Business; Stock exchange; Shareholder; Audit; Capital market; Accounting information system; Context (archaeology); Scope (computer science); Information asymmetry; Finance; Corporate governance","score_opus":0.02324500496090428,"score_gpt":0.24914797928117263,"score_spread":0.22590297432026835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254843423","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":[0.98681045,0.0031338993,0.000014104199,0.0010564203,0.00018644672,0.00031346042,0.000027936894,0.000009922346,0.008447359],"genre_scores_gemma":[0.9933355,0.005236691,0.0000050669987,0.0012747691,0.000100583864,0.000011964938,0.000019203699,0.000004880863,0.0000113756005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992068,0.0000063752254,0.00046500578,0.00011959481,0.00005118288,0.00015107438],"domain_scores_gemma":[0.99855614,0.000020150452,0.0010532031,0.00027962457,0.000084382096,0.0000065253707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067257165,0.00013064517,0.00034126022,0.00002801613,0.0002643838,0.00029207033,0.0002547297,0.00004371069,0.000019096062],"category_scores_gemma":[0.00048670016,0.000092285816,0.000039675524,0.000096257354,0.00007915776,0.0013790875,0.00018959226,0.00005397566,0.00002031838],"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":[0.00007059808,0.000052993233,0.5633467,0.005717674,0.000013804861,0.0000036086362,0.000030108517,0.00000959295,0.0000018012728,0.033651054,0.0024675936,0.39463446],"study_design_scores_gemma":[0.00033268507,0.000006081708,0.83617294,0.002829143,0.00004357774,0.0000062814715,0.0000247059,0.0008153101,0.0000016057033,0.002877331,0.15665624,0.00023410065],"about_ca_topic_score_codex":0.0009785088,"about_ca_topic_score_gemma":0.00032522128,"teacher_disagreement_score":0.39440036,"about_ca_system_score_codex":0.000019068953,"about_ca_system_score_gemma":0.000013758664,"threshold_uncertainty_score":0.37633064},"labels":[],"label_agreement":null},{"id":"W4383426720","doi":"10.1504/gber.2023.131939","title":"The relation between innovation and earnings management: evidence for the UK","year":2023,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Accrual; Earnings management; Earnings; Proxy (statistics); Accounting; Business; Financial statement; Value (mathematics); Economics; Audit","score_opus":0.04214467761509341,"score_gpt":0.26986374654477685,"score_spread":0.22771906892968344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383426720","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":[0.70915216,0.073763356,0.094462715,0.09901329,0.0016780517,0.0070746597,0.00004418737,0.00050757156,0.01430399],"genre_scores_gemma":[0.6832178,0.31030616,0.00013171912,0.0041130176,0.0009303824,0.00027031457,0.00007520793,0.000031909185,0.00092348154],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989685,0.0000076562455,0.00038828817,0.00030392804,0.000088943074,0.00024272839],"domain_scores_gemma":[0.99603057,0.00020515347,0.003384307,0.0002253941,0.00014765591,0.000006923505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014197881,0.00015607779,0.00020277516,0.00005105657,0.0007036353,0.00046728383,0.00024844013,0.000032614236,0.000011401897],"category_scores_gemma":[0.0025579648,0.00010832159,0.00003521633,0.0011587649,0.00007852426,0.000721245,0.0004044879,0.000067751644,0.00010156368],"study_design_candidate":"design_other","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":[0.000011239589,0.0000018865451,0.10952761,0.0024638784,0.000060442944,6.78e-7,0.0000049262,0.00011917842,3.1420956e-7,0.14677003,0.009399411,0.7316404],"study_design_scores_gemma":[0.000110550885,0.0000014668015,0.534604,0.000675189,0.00010562237,5.912814e-7,0.000016060256,0.0005218324,3.08824e-8,0.002678143,0.46119487,0.000091608454],"about_ca_topic_score_codex":0.000107529704,"about_ca_topic_score_gemma":0.000027580714,"teacher_disagreement_score":0.7315488,"about_ca_system_score_codex":0.000038849674,"about_ca_system_score_gemma":0.000008208519,"threshold_uncertainty_score":0.54118645},"labels":[],"label_agreement":null},{"id":"W4407139705","doi":"10.1504/gber.2025.144233","title":"Performance analysis of sustainable stock indices against conventional ones: an empirical investigation of G7 countries","year":2025,"lang":"en","type":"article","venue":"Global Business and Economics Review","topic":"Sustainable Finance and Green Bonds","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":"Stock (firearms); Econometrics; Economics; Business; Engineering","score_opus":0.024632715311130617,"score_gpt":0.2660215800476348,"score_spread":0.2413888647365042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407139705","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":[0.9482791,0.04672097,0.0002625794,0.00065364246,0.000078029276,0.0002797457,0.00023681766,0.000009073949,0.0034800335],"genre_scores_gemma":[0.9037385,0.09469936,0.00013064758,0.00085321313,0.000016403406,0.000032876407,0.0002645173,0.000006082253,0.00025839254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983464,0.00001739065,0.0010109493,0.00035607093,0.000030050134,0.00023914395],"domain_scores_gemma":[0.99859285,0.000029520434,0.000740748,0.00029981817,0.00028310026,0.00005398493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067515497,0.00016730635,0.0010056349,0.0003590087,0.000101875165,0.000042035717,0.00020412102,0.00009965953,0.000074154595],"category_scores_gemma":[0.0000713381,0.00018626852,0.00013714221,0.0016854521,0.00019668556,0.0006001515,0.000092554306,0.000053142772,0.000005536224],"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":[0.000019828303,0.000036586673,0.857131,0.0035325387,0.00026748612,8.17102e-7,0.000038711307,0.0005210443,1.83748e-7,0.13705815,0.00018279668,0.0012108483],"study_design_scores_gemma":[0.0003698558,0.00004274362,0.95443875,0.00046618943,0.0002766171,0.0000011240744,0.00015940194,0.0038430693,0.000004496293,0.005819835,0.034363374,0.00021456086],"about_ca_topic_score_codex":0.00040036632,"about_ca_topic_score_gemma":0.00005257678,"teacher_disagreement_score":0.13123831,"about_ca_system_score_codex":0.00015284552,"about_ca_system_score_gemma":0.00019717347,"threshold_uncertainty_score":0.75958097},"labels":[],"label_agreement":null}]}