{"meta":{"query_hash":"12ea03f94ded","filters":{"venue":"International Journal of Finance & Economics"},"cohort_total":88,"direct_labels_cover":0,"predictions_cover":88,"exported":88,"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/12ea03f94ded","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Finance+%26+Economics"},"results":[{"id":"W1509818449","doi":"10.1002/ijfe.1462","title":"DO CORPORATE PROFIT FORECASTER HERD?—EVIDENCE FROM CANADA, UK AND THE UNITED STATES","year":2012,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Herding; Economics; Consensus forecast; Profit (economics); Financial economics; Econometrics; Microeconomics; Geography","score_opus":0.10037576893110862,"score_gpt":0.2361411945168925,"score_spread":0.13576542558578386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509818449","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":[0.9865754,0.0042978823,0.000414594,0.0058653513,0.001908599,0.00010036683,0.00039593302,0.0000026086354,0.00043922593],"genre_scores_gemma":[0.9906895,0.0058620106,0.0005050648,0.0019330707,0.00073205755,0.0000046789323,0.000022271632,0.000016664117,0.00023464533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984852,0.00002500836,0.0009921958,0.000172741,0.000041019972,0.00028381404],"domain_scores_gemma":[0.9974777,0.00030105753,0.0018535935,0.0001960633,0.00006189767,0.0001096888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093034987,0.0001652112,0.00042095777,0.00016661867,0.00006738858,0.0001556981,0.00052832847,0.00006077377,0.00027458987],"category_scores_gemma":[0.00014278849,0.00014674087,0.00010893259,0.000050628885,0.00013309222,0.0007972876,0.00008555455,0.00022021569,0.000049842125],"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":[0.00084542297,0.000036651367,0.8944611,0.0000079578585,0.0005327863,0.000014337459,0.0025348973,0.027866846,0.0000026916684,0.06194053,0.009193023,0.002563782],"study_design_scores_gemma":[0.0067707626,0.00016182597,0.55004287,0.0002542164,0.0000677905,0.0003893559,0.0005955425,0.084139705,0.00033580375,0.18998434,0.16625652,0.0010012568],"about_ca_topic_score_codex":0.13304393,"about_ca_topic_score_gemma":0.011611034,"teacher_disagreement_score":0.3444182,"about_ca_system_score_codex":0.00031838106,"about_ca_system_score_gemma":0.00008762352,"threshold_uncertainty_score":0.8727292},"labels":[],"label_agreement":null},{"id":"W1545991674","doi":"10.1002/ijfe.1458","title":"Examining realized volatility regimes under a threshold stochastic volatility model","year":2012,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stochastic volatility; Econometrics; Threshold model; Volatility (finance); Threshold limit value; Economics; Realized variance; Implied volatility; Leverage (statistics); Leverage effect; Markov chain Monte Carlo; Forward volatility; Bayesian probability; Mathematics; Statistics; Autoregressive conditional heteroskedasticity","score_opus":0.09157239541207723,"score_gpt":0.2766962494437558,"score_spread":0.18512385403167858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545991674","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":[0.81552196,0.002006282,0.17739476,0.00040099674,0.0018108638,0.00011329972,0.00014166643,0.000017097615,0.0025930412],"genre_scores_gemma":[0.99185216,0.00053193106,0.006246102,0.00029613505,0.00071453024,0.000007087994,0.000011658694,0.000036277135,0.00030413232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972164,0.000019609184,0.0018340243,0.00035801498,0.00010623474,0.00046572922],"domain_scores_gemma":[0.99735594,0.00012802164,0.0016857943,0.0003900028,0.00028817722,0.00015208144],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018778159,0.00026729816,0.0007170098,0.00033488934,0.00010743994,0.00010748969,0.000727157,0.00019266995,0.00008979861],"category_scores_gemma":[0.00035286736,0.00031849043,0.00030348892,0.00010830224,0.00010758298,0.0016310975,0.00013625438,0.00045052357,0.000045592707],"study_design_candidate":"simulation_or_modeling","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":[0.00072687457,0.00057815213,0.26181647,0.000023029153,0.00033095613,0.0000052762844,0.0024111546,0.23738828,0.000034358003,0.49024615,0.0009245004,0.0055148015],"study_design_scores_gemma":[0.0011471931,0.000057867364,0.04419816,0.00006033902,0.000017677208,0.000034797413,0.00008772031,0.7805403,0.000035111316,0.17089903,0.0025683509,0.00035347656],"about_ca_topic_score_codex":0.00008872067,"about_ca_topic_score_gemma":0.000022808454,"teacher_disagreement_score":0.543152,"about_ca_system_score_codex":0.00055148435,"about_ca_system_score_gemma":0.00015535504,"threshold_uncertainty_score":0.99992675},"labels":[],"label_agreement":null},{"id":"W1784708412","doi":"10.1002/ijfe.1506","title":"Modelling Volatility Spillover Effects Between Developed Stock Markets and Asian Emerging Stock Markets","year":2014,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":264,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Economics; Emerging markets; Spillover effect; Volatility (finance); Stock (firearms); Stock market; Heteroscedasticity; Financial economics; Monetary economics; China; Financial crisis; Econometrics; Macroeconomics; Geography","score_opus":0.02848899448442889,"score_gpt":0.24488795573054922,"score_spread":0.21639896124612035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1784708412","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":[0.8169319,0.0006836019,0.17762497,0.00055587507,0.0013359681,0.00013645207,0.00006244366,0.000011585515,0.002657207],"genre_scores_gemma":[0.98605764,0.0008566706,0.012010411,0.00014574688,0.0007282529,0.0000047068997,0.000008868805,0.00003820429,0.00014949554],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997511,0.000044005857,0.0015576357,0.0004537306,0.00009337171,0.0003402276],"domain_scores_gemma":[0.99777395,0.0002430841,0.0013719521,0.0002553073,0.00022805115,0.00012766932],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017799533,0.00027647038,0.000770541,0.0003861165,0.00012917655,0.00015737505,0.00057943247,0.00017667262,0.00003363494],"category_scores_gemma":[0.00040441673,0.0003388621,0.00022176444,0.00009604845,0.00007112391,0.0008872887,0.00014711799,0.00041736418,0.00002391241],"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":[0.0005238106,0.0001385763,0.7337145,0.000087871886,0.0003983766,0.000015970601,0.0008429516,0.019017963,0.000008885374,0.052890796,0.0003855995,0.19197465],"study_design_scores_gemma":[0.0013515004,0.000094571085,0.3138318,0.00014456442,0.000018931254,0.000022014165,0.000012020837,0.5844072,0.00004877699,0.061008576,0.038642853,0.0004171889],"about_ca_topic_score_codex":0.00008816217,"about_ca_topic_score_gemma":0.000018589877,"teacher_disagreement_score":0.5653892,"about_ca_system_score_codex":0.00030749934,"about_ca_system_score_gemma":0.00008717111,"threshold_uncertainty_score":0.99990636},"labels":[],"label_agreement":null},{"id":"W1806915516","doi":"10.1002/ijfe.456","title":"CENTRAL BANK AUTONOMY, LEGAL INSTITUTIONS AND BANKING CRISIS INCIDENCE","year":2011,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University; University of Regina","funders":"Yrjö Jahnssonin Säätiö","keywords":"Financial system; Autonomy; Economics; Financial crisis; Incidence (geometry); Central bank; Business; Monetary economics; Political science; Keynesian economics; Monetary policy; Law","score_opus":0.03604196781879465,"score_gpt":0.24634832580685467,"score_spread":0.21030635798806002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1806915516","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":[0.9711834,0.0010783472,0.01636527,0.0010419291,0.0025175281,0.00009111356,0.00007759183,0.000015106081,0.007629722],"genre_scores_gemma":[0.9910044,0.0008488479,0.0075031472,0.00025200803,0.0003045528,0.0000036397523,0.000003637736,0.00001600682,0.0000637489],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99814504,0.000013827788,0.001200375,0.00031374634,0.000057952486,0.00026906634],"domain_scores_gemma":[0.998301,0.00004647682,0.0011540372,0.00021821672,0.00020353416,0.000076703065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064340146,0.00016283985,0.00035682053,0.0003797328,0.00011261153,0.00014828728,0.0006467119,0.00009534092,0.00027108958],"category_scores_gemma":[0.00015732601,0.0002025341,0.00016155664,0.00010958516,0.00017605563,0.0013952309,0.00011492514,0.00023203598,0.000028918017],"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":[0.00004245597,0.00013392673,0.17070116,0.00000577436,0.000078836296,0.000016106622,0.0015101279,0.0025028114,0.0000033010028,0.82081467,0.00014810641,0.0040427274],"study_design_scores_gemma":[0.0009697831,0.00013112216,0.73817855,0.0000654483,0.000017139508,0.00035213464,0.00011565307,0.005534889,0.00019392789,0.18248425,0.07153764,0.00041944202],"about_ca_topic_score_codex":0.0003733757,"about_ca_topic_score_gemma":0.00010943926,"teacher_disagreement_score":0.6383304,"about_ca_system_score_codex":0.0005895808,"about_ca_system_score_gemma":0.00029589317,"threshold_uncertainty_score":0.8259101},"labels":[],"label_agreement":null},{"id":"W1915423964","doi":"10.1002/ijfe.462","title":"CROSS‐SPECULATION IN CURRENCY FUTURES MARKETS","year":2011,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Deutsche Bundesbank","keywords":"Speculation; Futures contract; Economics; Financial economics; Currency; Herding; Futures market; Monetary economics; Liberian dollar; Pound (networking); Finance","score_opus":0.031173675855129913,"score_gpt":0.25321863707879794,"score_spread":0.222044961223668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1915423964","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":[0.9654871,0.0006531853,0.001382316,0.00017413587,0.0026540044,0.00006495131,0.000083823055,0.000004494456,0.02949598],"genre_scores_gemma":[0.9962481,0.0011653203,0.0019901053,0.00009712129,0.00026368647,0.0000029147295,0.000006687357,0.000013649866,0.00021241649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983071,0.000014075421,0.0012478732,0.00022178676,0.000040400235,0.00016874025],"domain_scores_gemma":[0.9984607,0.00003585616,0.0011398919,0.00017389294,0.00014451788,0.000045137564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009290183,0.00012732278,0.00031788726,0.0003835708,0.000031119278,0.00007532588,0.00056318706,0.00009634127,0.00070055894],"category_scores_gemma":[0.0001348558,0.00015511557,0.00017551417,0.00007884606,0.000050954575,0.00066624477,0.00006089676,0.00022571775,0.000027325073],"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":[0.00019908798,0.00014181824,0.8549326,0.0000046895975,0.00004413304,0.000018597344,0.00033036148,0.00015426236,0.0000014490428,0.13521105,0.00008720341,0.008874764],"study_design_scores_gemma":[0.00074054155,0.000035581572,0.82456744,0.000024209598,0.0000017481069,0.000026832793,0.00001643531,0.018229702,0.000019268267,0.14458323,0.011601492,0.00015351718],"about_ca_topic_score_codex":0.00011054098,"about_ca_topic_score_gemma":0.00010526202,"teacher_disagreement_score":0.03076099,"about_ca_system_score_codex":0.00026332558,"about_ca_system_score_gemma":0.00005119213,"threshold_uncertainty_score":0.7670629},"labels":[],"label_agreement":null},{"id":"W1947015163","doi":"10.1002/ijfe.1536","title":"The Relative Predictability of Stock Markets in the Americas","year":2015,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Predictability; Stock (firearms); Economics; Econometrics; Financial economics; Stock market; Geography; Statistics; Mathematics","score_opus":0.03635584076637559,"score_gpt":0.2650818157053386,"score_spread":0.22872597493896302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947015163","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":[0.9811166,0.0009395801,0.0012969458,0.003078378,0.0011360719,0.00012419015,0.000109355766,0.0000017298579,0.012197183],"genre_scores_gemma":[0.99807125,0.0009987254,0.0005670171,0.00011958775,0.00010476026,0.0000052182454,0.000002321338,0.0000073952815,0.00012375008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833673,0.00006446849,0.0012264749,0.00015212019,0.00007457661,0.00014561146],"domain_scores_gemma":[0.997475,0.00045818757,0.0015268379,0.0002674829,0.00023588611,0.000036566704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037337656,0.000099501354,0.00030409818,0.00011548303,0.000037632784,0.00006015359,0.00094752916,0.0000557319,0.000021571272],"category_scores_gemma":[0.00087494386,0.00007652918,0.00016625672,0.000105598294,0.00016818459,0.00037723363,0.000074186544,0.00028235954,0.000004824249],"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":[0.00047888918,0.00018092351,0.80734944,0.000004007886,0.00011245732,0.0000070490373,0.0012883134,0.00049526495,5.592755e-7,0.18131867,0.0009910376,0.007773408],"study_design_scores_gemma":[0.00100697,0.0001511936,0.5497735,0.000023290906,0.0000052089213,0.00003737396,0.0002605159,0.04427017,0.000004764085,0.3347632,0.069578245,0.00012556282],"about_ca_topic_score_codex":0.00010145817,"about_ca_topic_score_gemma":0.000112954105,"teacher_disagreement_score":0.25757593,"about_ca_system_score_codex":0.0002762447,"about_ca_system_score_gemma":0.00011854845,"threshold_uncertainty_score":0.31207693},"labels":[],"label_agreement":null},{"id":"W1970482282","doi":"10.1002/ijfe.147","title":"Irreducibility and structural cointegrating relations: an application to the G‐7 long‐term interest rates","year":2001,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":27,"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":"Economic and Social Research Council","keywords":"Irreducibility; Ranking (information retrieval); Economics; Econometrics; Term (time); Cointegration; Variance (accounting); German; Set (abstract data type); Relation (database); Identification (biology); Point (geometry); Mathematical economics; Interest rate; Mathematics; Macroeconomics; Computer science; Pure mathematics","score_opus":0.06935523131712276,"score_gpt":0.2934222821631735,"score_spread":0.22406705084605075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970482282","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":[0.98439807,0.0005182107,0.0070540947,0.00646979,0.00088905817,0.00015211276,0.00010194076,0.0000069242965,0.000409775],"genre_scores_gemma":[0.9968721,0.00045012624,0.0010835764,0.0007105013,0.0006514671,0.0000073148212,0.000017710892,0.0000150703145,0.00019211454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984719,0.000018981062,0.0010062841,0.000290122,0.00002490859,0.00018777433],"domain_scores_gemma":[0.99856764,0.0000793586,0.0008976385,0.0002878532,0.00006999648,0.00009751523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007524008,0.00014791185,0.00029242548,0.00020178621,0.0001148272,0.00021518763,0.00057544716,0.00006435284,0.00012094885],"category_scores_gemma":[0.00016025284,0.00013861788,0.000103296356,0.00006104793,0.00007201703,0.001012957,0.00006710546,0.00022295937,0.00010562234],"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":[0.00029668072,0.00009189819,0.8276148,0.0000058258825,0.00017227947,0.000009795874,0.0020287542,0.048622373,0.000039257473,0.062805235,0.0007588598,0.05755424],"study_design_scores_gemma":[0.00076230627,0.00020843862,0.8595798,0.000038273465,0.00001075519,0.0005060844,0.0001576743,0.07391608,0.0000958011,0.04507193,0.0193397,0.00031315687],"about_ca_topic_score_codex":0.00021167383,"about_ca_topic_score_gemma":0.00046868058,"teacher_disagreement_score":0.057241086,"about_ca_system_score_codex":0.00024501074,"about_ca_system_score_gemma":0.00003056805,"threshold_uncertainty_score":0.56526726},"labels":[],"label_agreement":null},{"id":"W1989348606","doi":"10.1002/ijfe.319","title":"Currency invoicing of US imports","year":2007,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Currency; Economics; Monetary economics; Volatility (finance); Invoice; Exchange rate; International economics; Financial economics","score_opus":0.049273628695364426,"score_gpt":0.2576907164547528,"score_spread":0.20841708775938836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989348606","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":[0.9847406,0.0011985754,0.004102331,0.00053184596,0.0029695493,0.000055264834,0.00011536387,0.0000046051573,0.0062818322],"genre_scores_gemma":[0.9951794,0.0017042733,0.0018399782,0.00043165186,0.00068175246,6.0106584e-7,0.000006160698,0.000017855753,0.00013834029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752384,0.000005530105,0.0019726276,0.00019010801,0.000038202445,0.00026967758],"domain_scores_gemma":[0.9970443,0.00008073156,0.0025257086,0.0001953853,0.000069018235,0.00008483006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013325267,0.00014791448,0.00051183766,0.0005214938,0.00003086385,0.0000380893,0.0005803423,0.000093885086,0.00021985768],"category_scores_gemma":[0.00011458932,0.00018160675,0.00028021738,0.000063139014,0.00007217062,0.0006783421,0.000057327612,0.0002091916,0.00007074307],"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":[0.00047801703,0.00041702812,0.69649243,0.000033639655,0.00056927226,0.000100003854,0.0015458897,0.03899356,0.0001401935,0.22312622,0.0036432925,0.03446045],"study_design_scores_gemma":[0.0040920875,0.0005848856,0.3982538,0.00022145787,0.000033099022,0.00080548256,0.00017995483,0.012247032,0.0055652005,0.18063088,0.39638823,0.0009979066],"about_ca_topic_score_codex":0.00025540503,"about_ca_topic_score_gemma":0.00005016652,"teacher_disagreement_score":0.39274493,"about_ca_system_score_codex":0.0002493993,"about_ca_system_score_gemma":0.000053095144,"threshold_uncertainty_score":0.74057084},"labels":[],"label_agreement":null},{"id":"W2004497014","doi":"10.1002/ijfe.279","title":"The real exchange rate and real interest differentials: the role of nonlinearities","year":2005,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":22,"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":"Tulane University; National Science Foundation","keywords":"Economics; Linkage (software); Econometrics; Nonlinear system; Exchange rate; Real interest rate; Interest rate parity; Interest rate; Liberian dollar; Differential (mechanical device); Pound (networking); Macroeconomics; Computer science; Finance","score_opus":0.050872893012310565,"score_gpt":0.2470670595654617,"score_spread":0.19619416655315114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004497014","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":[0.9876447,0.0030918065,0.000065452645,0.0041035907,0.0008286639,0.00006749927,0.00020453979,0.000003296463,0.0039904825],"genre_scores_gemma":[0.95093197,0.0472249,0.0002057076,0.00018471862,0.0010233707,0.0000031849484,0.0000041188005,0.000013904341,0.00040811746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854887,0.000024033863,0.0010609152,0.00014577528,0.000024247049,0.00019618623],"domain_scores_gemma":[0.99819064,0.0002277219,0.0012894603,0.00019559122,0.00005162303,0.00004493695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008829309,0.00013188942,0.00033920695,0.00012648081,0.00010198348,0.00014347787,0.0006476658,0.00006226705,0.00007519098],"category_scores_gemma":[0.000071249364,0.0001036165,0.00016146227,0.000024568311,0.00019001086,0.0004477677,0.00010577746,0.00018540473,0.000028957618],"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":[0.0008726093,0.00025687067,0.109347254,0.000019360064,0.0009531058,0.000007425973,0.004517317,0.006640025,0.00015754387,0.69715136,0.002438536,0.17763858],"study_design_scores_gemma":[0.002124228,0.00031439925,0.19955793,0.00008183444,0.00003333241,0.00015034481,0.00073747814,0.056482203,0.0014565405,0.12862514,0.6099647,0.00047185918],"about_ca_topic_score_codex":0.0004859636,"about_ca_topic_score_gemma":0.00052827847,"teacher_disagreement_score":0.6075262,"about_ca_system_score_codex":0.00012234147,"about_ca_system_score_gemma":0.00003011162,"threshold_uncertainty_score":0.42253584},"labels":[],"label_agreement":null},{"id":"W2013875071","doi":"10.1002/(sici)1099-1158(200002)5:1<15::aid-ijfe114>3.0.co;2-o","title":"Inflation targets and the yield curve: New Zealand and Australia versus the US","year":2000,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; Oesterreichische Nationalbank; University of Sydney; Reserve Bank of New Zealand","keywords":"Economics; Inflation (cosmology); Yield curve; Yield (engineering); Econometrics; Monetary economics; Monetary policy; Real interest rate; Deflation; Interest rate; Macroeconomics","score_opus":0.061767471781190124,"score_gpt":0.2559360455330301,"score_spread":0.19416857375184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013875071","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":[0.98471314,0.0012951128,0.000044222124,0.011188344,0.0010015258,0.000084575055,0.000053693377,0.0000027800625,0.001616595],"genre_scores_gemma":[0.98743236,0.007945921,0.00018122274,0.0006167019,0.0007204616,0.0000018020513,0.0000031166626,0.000009468473,0.0030889579],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989577,0.000013495386,0.00068886,0.00015287333,0.000025221314,0.00016187668],"domain_scores_gemma":[0.99898434,0.00019792722,0.0005988799,0.00014000862,0.000018330544,0.000060537783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061443,0.00012224501,0.00027630592,0.00008565907,0.00008399779,0.00018285142,0.00034087978,0.000065147404,0.00057337986],"category_scores_gemma":[0.000091359856,0.00009532668,0.000099747616,0.000027659324,0.00015008303,0.0005420665,0.00003402181,0.00020789696,0.00008700642],"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":[0.008660523,0.00013648644,0.35187924,0.000015132607,0.0016471547,0.000030166711,0.008061928,0.14081788,0.000009069197,0.32276937,0.070614554,0.095358476],"study_design_scores_gemma":[0.0066864914,0.00016254168,0.31153563,0.00002967261,0.000027906746,0.00022301219,0.00003627395,0.01373788,0.000029073717,0.07557972,0.59166056,0.00029126217],"about_ca_topic_score_codex":0.00113031,"about_ca_topic_score_gemma":0.00016257804,"teacher_disagreement_score":0.521046,"about_ca_system_score_codex":0.00006978601,"about_ca_system_score_gemma":0.000023607663,"threshold_uncertainty_score":0.6278107},"labels":[],"label_agreement":null},{"id":"W2033516997","doi":"10.1002/ijfe.387","title":"Is prior performance priced through closed‐end fund discounts?","year":2009,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Net asset value; Closed-end fund; Unit trust; Economics; Asset (computer security); Value (mathematics); Monetary economics; Mutual fund; Financial economics; Business; Finance","score_opus":0.042098998433197005,"score_gpt":0.2598651971818939,"score_spread":0.21776619874869688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033516997","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":[0.9296447,0.0017407831,0.0005470785,0.0051010353,0.0023066339,0.00011033529,0.00012241077,0.000009649187,0.06041734],"genre_scores_gemma":[0.9823807,0.009957051,0.0024938846,0.003396499,0.0007342704,0.0000030651258,0.0000074382738,0.00001817843,0.0010089063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802023,0.000007851918,0.0012928246,0.00030041378,0.00008081791,0.00029787363],"domain_scores_gemma":[0.99796253,0.000033327568,0.001556515,0.00023310492,0.00016036404,0.00005415789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004342617,0.00022109758,0.00049303524,0.00021478334,0.00009699111,0.00022015332,0.0007870507,0.0001103917,0.00033277826],"category_scores_gemma":[0.00004974742,0.00024177867,0.00025025173,0.00010072436,0.00008896296,0.0019841646,0.00004650426,0.0002565973,0.00019800688],"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":[0.00031974295,0.00032165542,0.024770275,0.00001457622,0.00018080963,0.000026739872,0.0009089237,0.0007548491,0.00003558311,0.93166393,0.006613042,0.034389853],"study_design_scores_gemma":[0.0017150635,0.0005725921,0.36284703,0.00010782431,0.000012389747,0.000096551455,0.000068189336,0.0014049452,0.00064090046,0.20044443,0.43159693,0.0004931541],"about_ca_topic_score_codex":0.000026045856,"about_ca_topic_score_gemma":0.0000055288506,"teacher_disagreement_score":0.73121953,"about_ca_system_score_codex":0.00030801422,"about_ca_system_score_gemma":0.00011773909,"threshold_uncertainty_score":0.9859448},"labels":[],"label_agreement":null},{"id":"W2081037911","doi":"10.1002/ijfe.344","title":"Estimation of the consumption CAPM with imperfect sample separation information","year":2007,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":3,"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":"Capital asset pricing model; Economics; Econometrics; Imperfect; Consumption (sociology); Stochastic discount factor; Sample (material); Asset (computer security); Risk aversion (psychology); Mutual fund separation theorem; Consumption-based capital asset pricing model; Equity premium puzzle; Separation (statistics); Capital asset; Statistics; Financial economics; Mathematics; Expected utility hypothesis; Computer science; Finance","score_opus":0.015242905728495806,"score_gpt":0.241193719622402,"score_spread":0.2259508138939062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081037911","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":[0.93411386,0.00006093792,0.060453165,0.00030743115,0.0013540357,0.00010143358,0.00007203661,0.0000050826015,0.0035320038],"genre_scores_gemma":[0.9950478,0.0005213369,0.00410118,0.00014091331,0.00014254407,0.0000015645037,0.000015517378,0.00000993811,0.000019206833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854094,0.000008383919,0.0011614386,0.00009966913,0.000050016966,0.00013954533],"domain_scores_gemma":[0.99735665,0.000117135096,0.002172031,0.00016097384,0.0001645909,0.000028615535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010467485,0.00010742539,0.0002587954,0.0002665473,0.00005604234,0.00008049916,0.0003631086,0.000075899865,0.000042702413],"category_scores_gemma":[0.0001662863,0.00010061142,0.0001284462,0.000075264004,0.000077246616,0.001329105,0.000034550987,0.00014066104,0.00003775889],"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":[0.0011272772,0.00018153043,0.37100047,0.000049705974,0.0003424879,0.0000033304063,0.0021615801,0.22481526,0.00006371038,0.25440806,0.0006620054,0.14518458],"study_design_scores_gemma":[0.0065791295,0.000675774,0.6477277,0.00033810007,0.00007101533,0.00044208678,0.00032435317,0.15976955,0.010172578,0.08400786,0.088873826,0.0010180279],"about_ca_topic_score_codex":0.00008423664,"about_ca_topic_score_gemma":0.00010344667,"teacher_disagreement_score":0.27672723,"about_ca_system_score_codex":0.00033522362,"about_ca_system_score_gemma":0.00008102884,"threshold_uncertainty_score":0.41028145},"labels":[],"label_agreement":null},{"id":"W2099065939","doi":"10.1002/ijfe.368","title":"International value versus growth: evidence from stochastic dominance analysis","year":2008,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Stochastic dominance; Economics; Dominance (genetics); Growth stock; Value premium; Value (mathematics); Financial economics; Econometrics; Investment (military); Capital asset pricing model; Stock market; Geography; Statistics; Mathematics; Biology","score_opus":0.05078697498849197,"score_gpt":0.2517963212502034,"score_spread":0.20100934626171144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099065939","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":[0.9621892,0.0024306485,0.015366237,0.0023523471,0.009021305,0.00009398325,0.00036508057,0.000015255922,0.00816593],"genre_scores_gemma":[0.98116267,0.012394969,0.004676146,0.00028648638,0.0011588976,0.000008289962,0.000024987607,0.000022877259,0.0002646928],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976638,0.000019451434,0.001488881,0.0004282835,0.00013446629,0.0002651036],"domain_scores_gemma":[0.9970527,0.00031196175,0.0019058967,0.00027450206,0.00037041857,0.00008446775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004692065,0.0002447736,0.0006887352,0.0006787041,0.000103422026,0.00014461567,0.0013569193,0.00012228088,0.000429394],"category_scores_gemma":[0.00066149223,0.00028937188,0.00053355255,0.00026099238,0.0001894397,0.0016318834,0.00012772057,0.00027710875,0.00016230743],"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":[0.0038008452,0.0006221246,0.14231281,0.0000102769,0.006595041,0.00033102307,0.002034296,0.0949776,0.0000902452,0.73854125,0.0063537136,0.0043307813],"study_design_scores_gemma":[0.007993322,0.0007293823,0.7250616,0.0003162186,0.00035084956,0.00018083329,0.00017987443,0.04341407,0.00054931064,0.13531032,0.08428536,0.0016288366],"about_ca_topic_score_codex":0.0005222417,"about_ca_topic_score_gemma":0.000040244777,"teacher_disagreement_score":0.6032309,"about_ca_system_score_codex":0.00049969414,"about_ca_system_score_gemma":0.00014729507,"threshold_uncertainty_score":0.99995583},"labels":[],"label_agreement":null},{"id":"W2104434476","doi":"10.1002/ijfe.191","title":"Distributional properties of EMS and non‐EMS exchange rates before and after German reunification","year":2002,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Lira; Economics; Liberian dollar; Autoregressive conditional heteroskedasticity; Exchange rate; German reunification; Volatility (finance); Econometrics; German; Pound (networking); Unification; Monetary economics; Geography; Finance","score_opus":0.02918474514471455,"score_gpt":0.22757803358506257,"score_spread":0.198393288440348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104434476","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":[0.99209136,0.0048550516,0.0011919605,0.0009802892,0.0004108722,0.000072900955,0.00019498615,0.0000027618999,0.00019982306],"genre_scores_gemma":[0.9920738,0.0069469204,0.0005258588,0.00006466387,0.00022981515,0.0000063122698,0.0000065335826,0.0000104744295,0.00013565813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884033,0.000006164807,0.00080931897,0.00018039123,0.000040133455,0.00012367501],"domain_scores_gemma":[0.9989241,0.000017771214,0.0007414747,0.00010557815,0.00017047943,0.000040599152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032476283,0.00011155902,0.00030029088,0.00017595195,0.00004371786,0.00006217045,0.00018750368,0.000076854005,0.0000501118],"category_scores_gemma":[0.00007144843,0.00012099796,0.00007593782,0.000042462914,0.00011740166,0.00055556267,0.000056124605,0.00012967367,0.000009714313],"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":[0.00050621945,0.00042710002,0.8268028,0.0001551413,0.00027990667,0.00001789197,0.0067211045,0.00066598697,0.0004891227,0.113136046,0.00053585984,0.050262835],"study_design_scores_gemma":[0.0017146769,0.00029790358,0.8239861,0.0002721814,0.000019634406,0.00009732348,0.00009345074,0.09732018,0.0012377904,0.04948515,0.025052419,0.00042317304],"about_ca_topic_score_codex":0.000045566598,"about_ca_topic_score_gemma":0.000042088774,"teacher_disagreement_score":0.09665419,"about_ca_system_score_codex":0.00009160551,"about_ca_system_score_gemma":0.000016999098,"threshold_uncertainty_score":0.49341536},"labels":[],"label_agreement":null},{"id":"W2138103781","doi":"10.1002/ijfe.322","title":"Real exchange rates may have nonlinear trends","year":2007,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","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":"University of Saskatchewan","funders":"","keywords":"Purchasing power parity; Econometrics; Unit root; Economics; Nonlinear system; Null hypothesis; Exchange rate; Statistics; Mathematics; Macroeconomics; Physics","score_opus":0.0645569712097911,"score_gpt":0.28943703422714684,"score_spread":0.22488006301735575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138103781","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":[0.95323884,0.0007578669,0.001163866,0.0025364668,0.0029808045,0.000049532562,0.00031191658,0.000011306962,0.03894938],"genre_scores_gemma":[0.9849784,0.0047057974,0.004054807,0.0007707568,0.0022248903,0.0000016554991,0.000027155998,0.000034716784,0.0032018344],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977092,0.000008677906,0.0015713176,0.00027427223,0.000042951968,0.00039358626],"domain_scores_gemma":[0.9978565,0.00009258486,0.0016185052,0.00022966243,0.00007180443,0.00013094173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013445311,0.00020973546,0.0005311839,0.0007579328,0.000057916634,0.00011544754,0.00071535626,0.00013950258,0.0007841889],"category_scores_gemma":[0.00006637823,0.0002516198,0.00032845314,0.000068760375,0.00008155611,0.0007903713,0.00007007861,0.00026945636,0.00030957971],"study_design_candidate":"not_applicable","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":[0.0023237313,0.0011152615,0.5109189,0.00004692428,0.0017940026,0.00056498026,0.0048363777,0.036710277,0.00011891127,0.19502665,0.04384382,0.20270015],"study_design_scores_gemma":[0.0030628406,0.00036727564,0.14364277,0.00005010038,0.000018413812,0.00043257256,0.00014690372,0.017161634,0.001091405,0.020468522,0.81284046,0.0007171116],"about_ca_topic_score_codex":0.00030225643,"about_ca_topic_score_gemma":0.00015339351,"teacher_disagreement_score":0.76899666,"about_ca_system_score_codex":0.00042961887,"about_ca_system_score_gemma":0.000038640996,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W2221665873","doi":"10.1002/ijfe.1795","title":"Motivations for capital controls and their effectiveness","year":2019,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Depreciation (economics); Currency; Capital (architecture); Control (management); Economics; Construct (python library); Capital control; Monetary economics; Exchange rate; Capital flows; Financial capital; Capital formation; Human capital; Microeconomics; Market economy; Management","score_opus":0.012804812542392097,"score_gpt":0.22774230106985668,"score_spread":0.21493748852746458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221665873","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":[0.99098325,0.001173538,0.0032206406,0.0007446255,0.0018469745,0.00018646153,0.00046185328,0.0000038666635,0.0013787722],"genre_scores_gemma":[0.9980918,0.0007049395,0.00050371134,0.00023878548,0.00030572983,0.00000889576,0.0000066660823,0.000013169927,0.00012631404],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9990819,0.0000075067237,0.0005869276,0.00015807529,0.000018361137,0.00014721636],"domain_scores_gemma":[0.9988398,0.000190825,0.00065706496,0.00009918091,0.00017805546,0.000035063207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044182412,0.00011507357,0.00040036856,0.00016365184,0.000037154383,0.00008965992,0.00028247133,0.00006460662,0.000027485932],"category_scores_gemma":[0.00012004549,0.00011921585,0.00018087163,0.000035283076,0.00003828287,0.00039425588,0.00003650299,0.00008999237,0.000038969032],"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":[0.0001403178,0.000055162065,0.09617597,0.000011841721,0.00013394028,6.4719853e-7,0.00037479852,0.0011402855,0.00013177194,0.89960474,0.00025697134,0.0019735557],"study_design_scores_gemma":[0.0033361763,0.00038194255,0.4231391,0.00007816036,0.00000791091,0.00006434866,0.00017482704,0.0017060292,0.00071165245,0.28148007,0.2885872,0.00033255943],"about_ca_topic_score_codex":0.000038756647,"about_ca_topic_score_gemma":0.0000074470904,"teacher_disagreement_score":0.61812466,"about_ca_system_score_codex":0.0001247579,"about_ca_system_score_gemma":0.000037830203,"threshold_uncertainty_score":0.48614815},"labels":[],"label_agreement":null},{"id":"W2289046077","doi":"10.1002/ijfe.1548","title":"The Risk Premium, Interest Rate Determination, and Monetary Independence Under a Fixed, but Adjustable, Exchange Rate","year":2016,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Economics; Trilemma; Monetary policy; Risk premium; Interest rate; Independence (probability theory); Exchange rate; Monetary economics; Econometrics; Offset (computer science); Fixed interest rate loan; Covered interest arbitrage; Forward rate; International Fisher effect; Interest rate parity; Nominal interest rate; Real interest rate; Mathematics; Statistics","score_opus":0.047422204952380434,"score_gpt":0.23414110386198503,"score_spread":0.18671889890960458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289046077","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":[0.9837773,0.002698396,0.005273465,0.0052144956,0.0018727836,0.00012704628,0.00042098152,0.000008731321,0.00060681516],"genre_scores_gemma":[0.96270674,0.0341324,0.00038776075,0.0005479839,0.00055548275,0.000008815288,0.0000033671204,0.000026497966,0.0016309562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979619,0.000061886465,0.0012556489,0.00033356526,0.0000381592,0.0003488447],"domain_scores_gemma":[0.99697304,0.00052957685,0.0019827103,0.00029089756,0.00011084363,0.00011292413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019388539,0.00022694138,0.00041155232,0.00026537493,0.0001640387,0.00022480449,0.0007901156,0.00013033021,0.00015803234],"category_scores_gemma":[0.00039835589,0.00017973143,0.00017334586,0.00004747281,0.00018813754,0.0013467021,0.00015014737,0.00028396974,0.00015334295],"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":[0.0031247644,0.0004575106,0.40607566,0.00007325189,0.002248822,0.00017635459,0.0023930715,0.031970326,0.0005617769,0.18429752,0.015175105,0.35344586],"study_design_scores_gemma":[0.006328433,0.0005355509,0.43289563,0.00028442382,0.00006424929,0.000648457,0.00024372847,0.04509689,0.0015551544,0.30412248,0.20702986,0.0011951402],"about_ca_topic_score_codex":0.00022465969,"about_ca_topic_score_gemma":0.00027970847,"teacher_disagreement_score":0.35225073,"about_ca_system_score_codex":0.00032486033,"about_ca_system_score_gemma":0.000061811545,"threshold_uncertainty_score":0.7329235},"labels":[],"label_agreement":null},{"id":"W2549146198","doi":"10.1002/ijfe.1520","title":"Ending Over‐lending: Assessing Systemic Risk with Debt to Cash Flow","year":2015,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Insight Electronics (Canada)","funders":"","keywords":"Systemic risk; Cash flow; Economics; Leverage (statistics); Debt; Debt service coverage ratio; Vulnerability (computing); Monetary economics; Financial system; Financial economics; Business; External debt; Finance; Macroeconomics; Financial crisis","score_opus":0.03325402694830598,"score_gpt":0.2667764763721637,"score_spread":0.2335224494238577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549146198","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":[0.9772357,0.0011134024,0.008616888,0.00069088704,0.003389441,0.00009618029,0.00025123576,0.00001197977,0.008594337],"genre_scores_gemma":[0.991627,0.0007840989,0.0060782945,0.00039883316,0.00092895824,0.000004502888,0.0000046358805,0.000029802006,0.00014389954],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982205,0.000018316377,0.0010926828,0.00026758935,0.00009403459,0.00030684893],"domain_scores_gemma":[0.997659,0.00006060671,0.0015723412,0.00019960091,0.0003304128,0.00017800536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009305764,0.00020284353,0.00054857304,0.00044679086,0.00007772869,0.0003543502,0.000663643,0.00009164188,0.000033332042],"category_scores_gemma":[0.00032184922,0.0002153424,0.00017074772,0.00015245397,0.0000388945,0.0009213335,0.00009181062,0.00024935286,0.0001264816],"study_design_candidate":"not_applicable","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":[0.00045171857,0.00018807047,0.4287332,0.00002020146,0.00045521144,0.00016772198,0.0034588175,0.14171588,0.000032437376,0.39368886,0.011246724,0.019841153],"study_design_scores_gemma":[0.006603663,0.0012494061,0.16906726,0.00091196696,0.00008215869,0.00243941,0.001961976,0.015581779,0.0006369953,0.06483969,0.7348202,0.0018054846],"about_ca_topic_score_codex":0.00029605164,"about_ca_topic_score_gemma":0.00007234799,"teacher_disagreement_score":0.7235735,"about_ca_system_score_codex":0.0008336687,"about_ca_system_score_gemma":0.00016930231,"threshold_uncertainty_score":0.87814087},"labels":[],"label_agreement":null},{"id":"W2762369496","doi":"10.1002/ijfe.1597","title":"The importance of firm level multinationality in the country versus industry debate","year":2017,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"International Business and FDI","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":"Diversification (marketing strategy); Economics; Explanatory power; Exploit; International trade; International economics; Economic geography; Business; Marketing","score_opus":0.05396448953642764,"score_gpt":0.2918488207650434,"score_spread":0.2378843312286158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762369496","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":[0.9792942,0.000097142154,0.000048696293,0.010817728,0.002747015,0.000063485415,0.000025812995,0.0000017982567,0.006904154],"genre_scores_gemma":[0.99739987,0.0002010635,0.00008731333,0.00080539356,0.0013885427,0.000004245447,0.0000071900326,0.000007726201,0.000098662815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99890167,0.0000069827224,0.00059874315,0.00010145799,0.00026865787,0.00012249897],"domain_scores_gemma":[0.9969466,0.00017942039,0.0018983878,0.00022506149,0.0007459978,0.000004544295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009926661,0.000098059194,0.00014669626,0.00009227622,0.00020758694,0.00042869162,0.0016917698,0.00007345962,0.000029527553],"category_scores_gemma":[0.00066323695,0.000068310146,0.00009390847,0.000044041975,0.0001489513,0.001343562,0.0001372312,0.0003033151,0.000008768225],"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":[0.000681289,0.00015042863,0.45522577,0.000012312135,0.0001247029,0.000049313647,0.00006825306,0.002700329,0.000014483551,0.5258542,0.0025972473,0.012521717],"study_design_scores_gemma":[0.0013704275,0.000008185402,0.8869032,0.000059669743,0.00001129773,0.000016875649,0.00010899874,0.0030652313,0.000020948015,0.012647779,0.095693626,0.00009375653],"about_ca_topic_score_codex":0.00027476257,"about_ca_topic_score_gemma":0.000964268,"teacher_disagreement_score":0.51320636,"about_ca_system_score_codex":0.000099668956,"about_ca_system_score_gemma":0.00009549356,"threshold_uncertainty_score":0.4133883},"labels":[],"label_agreement":null},{"id":"W2789688937","doi":"10.1002/ijfe.1603","title":"Does the PPP condition hold for oil‐exporting countries? A quantile cointegration regression approach","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"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":"Quantile; Cointegration; Economics; Quantile regression; Econometrics; Purchasing power parity; Exchange rate; Unit root; Macroeconomics","score_opus":0.054107002134771355,"score_gpt":0.2769166218418281,"score_spread":0.22280961970705673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789688937","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":[0.96926296,0.0003513213,0.016801191,0.004736233,0.0044871904,0.00015462923,0.0005478107,0.000010558547,0.0036481093],"genre_scores_gemma":[0.9916651,0.0011773597,0.0027795131,0.0010751904,0.0023002997,0.00001789893,0.00004916593,0.00002484348,0.0009105894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804026,0.000014978179,0.0013696188,0.00026830938,0.00004537865,0.00026147792],"domain_scores_gemma":[0.9968222,0.00013313598,0.0025791274,0.00023258326,0.00017984762,0.000053098516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012000476,0.00018068637,0.0004128479,0.00022465366,0.00019810582,0.00021232468,0.0006043956,0.00009530918,0.00016716968],"category_scores_gemma":[0.00022404549,0.00012666566,0.0002640755,0.00004594911,0.00017119719,0.000929497,0.00004244621,0.00018950534,0.00009546014],"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":[0.0026756672,0.0006329811,0.053891383,0.000115765615,0.0012126855,0.000019225117,0.006515868,0.023793329,0.00041119076,0.8281203,0.055844773,0.026766822],"study_design_scores_gemma":[0.0041340254,0.00070100167,0.010985373,0.0002528523,0.000050259183,0.00038019934,0.0007276757,0.19844308,0.005757376,0.11589355,0.6618336,0.00084100367],"about_ca_topic_score_codex":0.000079222824,"about_ca_topic_score_gemma":0.000037189577,"teacher_disagreement_score":0.71222675,"about_ca_system_score_codex":0.0002709376,"about_ca_system_score_gemma":0.00006315162,"threshold_uncertainty_score":0.5165276},"labels":[],"label_agreement":null},{"id":"W2886375673","doi":"10.1002/ijfe.1646","title":"Does size affect the relation between option compensation and managerial risk taking? Evidence from Canadian listed companies","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Compensation (psychology); Executive compensation; Affect (linguistics); Index (typography); Business; Sample (material); Economics; Accounting; Monetary economics; Finance; Corporate governance","score_opus":0.022071441470265473,"score_gpt":0.2345134788359477,"score_spread":0.21244203736568223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886375673","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":[0.99345994,0.000073773794,0.000746388,0.003093504,0.0022525166,0.000099536126,0.00004317043,0.0000075050407,0.00022367852],"genre_scores_gemma":[0.9934137,0.0005040712,0.00025954394,0.00044468668,0.0053169588,0.0000017980987,0.0000104205765,0.000010505483,0.000038328104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917483,0.000017629136,0.0003984606,0.00015734154,0.00013023819,0.000121518846],"domain_scores_gemma":[0.9971164,0.00023796159,0.0021558846,0.000117417636,0.00036006822,0.000012279116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004378871,0.000113030124,0.0001733146,0.00010915291,0.00018570507,0.00036911905,0.00037523187,0.000054378976,0.000049003847],"category_scores_gemma":[0.00044644784,0.000080861006,0.000059790716,0.00008332252,0.000106848485,0.0018519924,0.000054100467,0.00015476483,0.00003376769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022505528,0.0000111992795,0.9637341,0.000006206448,0.000090290836,0.000009210487,0.00019986769,0.0013703536,0.00005214877,0.006361959,0.0005426145,0.027397003],"study_design_scores_gemma":[0.00040800544,0.000020562931,0.97010946,0.00017197472,0.000046478566,0.000002823122,0.000028590946,0.004097247,0.000040253737,0.009248139,0.015717112,0.00010937039],"about_ca_topic_score_codex":0.034525614,"about_ca_topic_score_gemma":0.063853525,"teacher_disagreement_score":0.029327912,"about_ca_system_score_codex":0.00016458737,"about_ca_system_score_gemma":0.00007135045,"threshold_uncertainty_score":0.97190356},"labels":[],"label_agreement":null},{"id":"W2890430866","doi":"10.1002/ijfe.1457","title":"DETERMINANTS OF FINANCIAL STRESS AND RECOVERY DURING THE GREAT RECESSION","year":2012,"lang":"en","type":"preprint","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Financial crisis; Deleveraging; Recession; Economics; Monetary economics; Stock (firearms); International economics; Financial system; Macroeconomics; Geography","score_opus":0.02256834697387523,"score_gpt":0.25560048040454336,"score_spread":0.23303213343066814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890430866","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":[0.9830549,0.008154296,0.000059073802,0.00041185922,0.005890912,0.00012787236,0.0013105223,0.000004083993,0.0009864937],"genre_scores_gemma":[0.9737515,0.024159525,0.00037994626,0.00013176946,0.0013125585,0.000006753871,0.000008381891,0.00002591181,0.00022364559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755776,0.000023756951,0.0017704889,0.00028545604,0.000078907564,0.00028363554],"domain_scores_gemma":[0.99552554,0.00008084961,0.0037738981,0.00032110838,0.00023110524,0.00006750378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00065605855,0.00027782677,0.00086608186,0.00029882102,0.00008636135,0.00012929,0.0010151129,0.0002998669,0.000053663192],"category_scores_gemma":[0.00024598322,0.00026134474,0.00036888366,0.00005850749,0.00015118576,0.00042282726,0.0005932363,0.00053494686,0.000015236055],"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":[0.00057055405,0.00023034702,0.91547084,0.00029384522,0.00023892576,0.000032005708,0.001607211,0.004595668,0.000020341724,0.049180124,0.0011922856,0.026567878],"study_design_scores_gemma":[0.0008410691,0.00010538657,0.91024184,0.00083691074,0.000035954454,0.000105801955,0.000050970484,0.00022741515,0.0011544115,0.050561063,0.035360113,0.00047905496],"about_ca_topic_score_codex":0.00030273982,"about_ca_topic_score_gemma":0.00012983973,"teacher_disagreement_score":0.034167826,"about_ca_system_score_codex":0.0002555345,"about_ca_system_score_gemma":0.0001385664,"threshold_uncertainty_score":0.99998385},"labels":[],"label_agreement":null},{"id":"W2896295151","doi":"10.1002/ijfe.1662","title":"Exports, capital inflows, relative prices, and income growth in South Korea: An application of the balance of payments constraint growth model","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Cointegration; Balance of payments; Constraint (computer-aided design); Distributed lag; Monetary economics; Relative price; Capital (architecture); Macroeconomics; International economics; Econometrics","score_opus":0.014402541021508676,"score_gpt":0.21561960821200402,"score_spread":0.20121706719049534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896295151","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":[0.9929773,0.00029745314,0.00432408,0.00031725832,0.0004675591,0.00015203428,0.00026921363,0.0000024731228,0.0011926198],"genre_scores_gemma":[0.996774,0.00041120307,0.0025400405,0.00007464762,0.00016078749,0.0000058588043,0.0000049282885,0.000013141362,0.00001535834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982491,0.000016553578,0.0012585972,0.00027612507,0.000047273585,0.00015231561],"domain_scores_gemma":[0.9970486,0.000046126614,0.0023904443,0.00020726954,0.00025892878,0.000048599555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006653058,0.0001405292,0.00043906042,0.00024756955,0.000034091154,0.000023897952,0.0005317233,0.00009148127,0.000009592762],"category_scores_gemma":[0.00014996709,0.00014270195,0.00010227016,0.00009249408,0.00033457586,0.00089147897,0.0001036613,0.00020412252,0.0000039186616],"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":[0.00008188416,0.00009550678,0.70040226,0.0000138098285,0.000060042945,7.192471e-7,0.0018468301,0.00065985194,0.000054695116,0.29608086,0.0000061624596,0.0006973669],"study_design_scores_gemma":[0.0013595806,0.00016072458,0.6539442,0.00007140294,0.000009202174,0.00003161219,0.00013266208,0.024160108,0.001668087,0.31810164,0.00014085627,0.00021994147],"about_ca_topic_score_codex":0.00014417796,"about_ca_topic_score_gemma":0.0000721158,"teacher_disagreement_score":0.046458095,"about_ca_system_score_codex":0.0001781645,"about_ca_system_score_gemma":0.000113595765,"threshold_uncertainty_score":0.58192164},"labels":[],"label_agreement":null},{"id":"W2896690520","doi":"10.1002/ijfe.1691","title":"Do demographics affect monetary policy transmission in Canada?","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Esri (Canada); Université du Québec à Montréal; Ontario Brain Institute","funders":"","keywords":"Economics; Demographics; Monetary policy; Inflation (cosmology); Monetary economics; Affect (linguistics); Financial crisis; Inflation targeting; Panel data; Dependency ratio; Macroeconomics; Econometrics; Demography","score_opus":0.03153863535758292,"score_gpt":0.2405629894900065,"score_spread":0.2090243541324236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896690520","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":[0.98764294,0.0013742882,0.00090050127,0.0043022125,0.001926491,0.000081270315,0.00015316301,0.0000040931573,0.0036150413],"genre_scores_gemma":[0.9924156,0.003937175,0.0010774247,0.0014000267,0.0010513484,0.0000021074252,0.00000639204,0.000023194107,0.00008673262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798405,0.000017884462,0.001322281,0.0002685879,0.000049133447,0.0003580603],"domain_scores_gemma":[0.998558,0.00007476102,0.000979235,0.00020984288,0.000054952656,0.00012324462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060216465,0.00019212991,0.0005090838,0.0007696366,0.00004878398,0.00007024808,0.0007433973,0.000094869625,0.00025795336],"category_scores_gemma":[0.000081598926,0.00022969049,0.00019725107,0.00014849319,0.000081917795,0.00060677686,0.000043470394,0.00027867695,0.000073676616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007796927,0.0002467463,0.7650375,0.000021288777,0.00048652574,0.00015695694,0.0012435297,0.06666414,0.000035632824,0.0847734,0.010352797,0.070201814],"study_design_scores_gemma":[0.0039899508,0.000465071,0.49018157,0.00018766783,0.000015013527,0.0004444738,0.00012390205,0.06388338,0.00046843785,0.09259482,0.3467241,0.0009216243],"about_ca_topic_score_codex":0.2410948,"about_ca_topic_score_gemma":0.14665042,"teacher_disagreement_score":0.3363713,"about_ca_system_score_codex":0.0012240696,"about_ca_system_score_gemma":0.0005911641,"threshold_uncertainty_score":0.93665063},"labels":[],"label_agreement":null},{"id":"W2898328045","doi":"10.1002/ijfe.1679","title":"Tail dependence networks of global stock markets","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Tail dependence; Pearson product-moment correlation coefficient; Copula (linguistics); Econometrics; Stock (firearms); Correlation coefficient; Complex network; Financial market; Stock market; Economics; Correlation; Financial economics; Statistics; Mathematics; Finance; Combinatorics; Geography","score_opus":0.01830202449893291,"score_gpt":0.23272550415660165,"score_spread":0.21442347965766873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898328045","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":[0.9614133,0.0017791465,0.01980677,0.0005684357,0.0028504909,0.000065460044,0.00017525717,0.0000055932696,0.013335545],"genre_scores_gemma":[0.996473,0.0006553079,0.0015615782,0.000119147655,0.00086162385,0.0000015395124,0.000002880024,0.000011695015,0.0003131991],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981534,0.000012139863,0.0013767104,0.00021547392,0.000058910326,0.00018337519],"domain_scores_gemma":[0.9972024,0.000038785045,0.002069486,0.00022819793,0.0004039487,0.000057202113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005606104,0.00013471948,0.00051587913,0.00014287196,0.000045723198,0.000073148396,0.00079069944,0.000082027924,0.00051792624],"category_scores_gemma":[0.00008344013,0.0001577844,0.00028319063,0.00014610353,0.0001202412,0.00042492163,0.000111511246,0.00011699874,0.00007413049],"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":[0.00045773463,0.00018409979,0.38806036,0.00001106392,0.00091293384,0.000028219674,0.00012829703,0.008526848,0.000009352615,0.57661355,0.0027275851,0.022339936],"study_design_scores_gemma":[0.0025291052,0.00064164156,0.57192874,0.00019222549,0.00005077293,0.0004567676,0.00013152823,0.08578787,0.00013638433,0.09429436,0.24311861,0.0007320135],"about_ca_topic_score_codex":0.00018337106,"about_ca_topic_score_gemma":0.00020591971,"teacher_disagreement_score":0.4823192,"about_ca_system_score_codex":0.00028350097,"about_ca_system_score_gemma":0.0000755372,"threshold_uncertainty_score":0.64342606},"labels":[],"label_agreement":null},{"id":"W2909183204","doi":"10.1002/ijfe.1680","title":"Bank competition, stability, and intervention quality","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":26,"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":"Competition (biology); Stability (learning theory); Economics; Quality (philosophy); Intervention (counseling); Sample (material); Econometrics; Medicine; Computer science; Biology; Ecology","score_opus":0.034594487642548424,"score_gpt":0.2815330332316686,"score_spread":0.2469385455891202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909183204","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":[0.979525,0.00067395816,0.012550541,0.0014350404,0.0022656487,0.00008527227,0.00011732653,0.000011341903,0.0033358405],"genre_scores_gemma":[0.99672,0.0004628449,0.00200066,0.00015093265,0.0005737652,0.000003606387,0.00000784218,0.0000140679485,0.00006627696],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979303,0.000037349142,0.0015066369,0.00029581293,0.00006358144,0.00016634213],"domain_scores_gemma":[0.99764013,0.00010188368,0.001474416,0.00023028409,0.0005036696,0.000049591315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019608643,0.00013080888,0.00036029352,0.00025256138,0.00008096294,0.00014070794,0.00045974486,0.00008211019,0.0006207298],"category_scores_gemma":[0.0003539914,0.00016139043,0.00017320963,0.000088524386,0.0003091888,0.00068907504,0.0001044749,0.00015020232,0.00006984373],"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":[0.000107081054,0.00026591137,0.22548525,0.000016923397,0.000083101215,0.0000018803927,0.0006589276,0.000114256385,0.000031938413,0.7642765,0.00015397194,0.008804268],"study_design_scores_gemma":[0.0014541007,0.000278644,0.61696583,0.00006934242,0.00000727539,0.000088032815,0.00009444229,0.0020776931,0.00073161087,0.33852628,0.039417755,0.00028896052],"about_ca_topic_score_codex":0.00007965267,"about_ca_topic_score_gemma":0.00013312689,"teacher_disagreement_score":0.4257502,"about_ca_system_score_codex":0.000338036,"about_ca_system_score_gemma":0.000046280544,"threshold_uncertainty_score":0.6796556},"labels":[],"label_agreement":null},{"id":"W2918452851","doi":"10.1002/ijfe.1828","title":"Cross‐shareholding networks and stock price synchronicity: Evidence from China","year":2020,"lang":"en","type":"preprint","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Synchronicity; Stock price; Business; Stock (firearms); Monetary economics; Centrality; China; Stock market; Economics; Econometrics","score_opus":0.05494053534115835,"score_gpt":0.2677671489632252,"score_spread":0.21282661362206684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918452851","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":[0.9545345,0.023805266,0.009385068,0.0031029994,0.0059281755,0.00022102699,0.0007528171,0.000019746112,0.0022504528],"genre_scores_gemma":[0.9500288,0.044633485,0.0025279468,0.00046287643,0.0021421183,0.00001271617,0.00003905734,0.00004835232,0.00010468664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970021,0.00002438117,0.0018703758,0.00069866976,0.000087656335,0.00031676696],"domain_scores_gemma":[0.9956484,0.00017654133,0.0035293829,0.0003318457,0.00018344911,0.00013038977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006556672,0.0003979275,0.001003532,0.00025882164,0.00009644032,0.0008957651,0.0013991292,0.00034562158,0.00024784816],"category_scores_gemma":[0.00045259032,0.00048701992,0.00035414562,0.000069481655,0.00016296736,0.0011817017,0.0008625238,0.0010810667,0.000029543107],"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":[0.0012199807,0.00032371312,0.39405409,0.00025180387,0.002089233,0.00032886345,0.0021069222,0.29263648,0.000028287322,0.27659276,0.005923747,0.024444122],"study_design_scores_gemma":[0.0011900454,0.00025334014,0.67805564,0.0015275244,0.000041595144,0.00005484961,0.000028836701,0.09804232,0.000051487437,0.18730041,0.03250882,0.0009451037],"about_ca_topic_score_codex":0.00047818877,"about_ca_topic_score_gemma":0.000024656834,"teacher_disagreement_score":0.2840016,"about_ca_system_score_codex":0.00060173305,"about_ca_system_score_gemma":0.0002679171,"threshold_uncertainty_score":0.9997581},"labels":[],"label_agreement":null},{"id":"W2922526533","doi":"10.1002/ijfe.1692","title":"Crude oil price shocks, monetary policy, and China's economy","year":2018,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"China Scholarship Council; Fundamental Research Funds for the Central Universities; Central South University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Economics; Monetary policy; China; Monetary economics; Oil price; Inflation (cosmology); Crude oil; Short run; Vector autoregression; Macroeconomics","score_opus":0.01137848614870316,"score_gpt":0.22926744687500533,"score_spread":0.21788896072630218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922526533","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":[0.9132957,0.00095495913,0.00173213,0.0034487436,0.0013630206,0.000042771993,0.00015000219,0.000008289875,0.079004385],"genre_scores_gemma":[0.99003327,0.0037495957,0.0025666195,0.0007358702,0.0016733415,0.0000028589866,0.0000073662977,0.000023280005,0.001207809],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99827266,0.000013053636,0.0011133325,0.0003114479,0.00003567995,0.000253853],"domain_scores_gemma":[0.9982031,0.000065149776,0.0012064485,0.00023535026,0.00018265676,0.000107307314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076189823,0.00018349338,0.00044673722,0.00041263542,0.00008080783,0.00017790061,0.0006233523,0.00010743368,0.0002557921],"category_scores_gemma":[0.0001732237,0.00022058192,0.00016530677,0.00008320343,0.00016798131,0.00071606465,0.00014793684,0.0002241998,0.000041612417],"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":[0.0004453375,0.00028327122,0.37104723,0.000033337623,0.00055039296,0.00003175623,0.0007991501,0.00023105471,0.000016902179,0.56506586,0.002311869,0.05918382],"study_design_scores_gemma":[0.0014754757,0.00023140661,0.21104988,0.000049494396,0.000009444141,0.0002330362,0.000024247442,0.063048795,0.00006197392,0.23348112,0.4898906,0.0004445333],"about_ca_topic_score_codex":0.00024147176,"about_ca_topic_score_gemma":0.00007208149,"teacher_disagreement_score":0.48757872,"about_ca_system_score_codex":0.00034292624,"about_ca_system_score_gemma":0.0001300489,"threshold_uncertainty_score":0.899507},"labels":[],"label_agreement":null},{"id":"W2991173540","doi":"10.1002/ijfe.1773","title":"Monetary policy spillovers in emerging economies","year":2019,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"University of Calgary","funders":"","keywords":"Exchange rate; Economics; Emerging markets; Monetary policy; Montenegro; Inflation targeting; Monetary economics; Depreciation (economics); Inflation (cosmology); Liberian dollar; International economics; Macroeconomics; Market economy; Finance","score_opus":0.01073670840154257,"score_gpt":0.22941682606274566,"score_spread":0.2186801176612031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991173540","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":[0.9676609,0.0005111314,0.0002168851,0.002256743,0.002141169,0.00008762712,0.00009569449,0.0000043348196,0.027025526],"genre_scores_gemma":[0.99519295,0.0024483523,0.0009349268,0.00042168816,0.00034426549,0.0000018497896,0.0000067627593,0.000018530864,0.0006306555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821293,0.000010318671,0.0012540818,0.0002558245,0.00003560282,0.00023122731],"domain_scores_gemma":[0.9984889,0.000062487634,0.001112047,0.00021348205,0.00007310874,0.00004994701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073404104,0.00014822964,0.00047566154,0.00070754735,0.000018354123,0.00008195401,0.0006191813,0.00008602045,0.0003991251],"category_scores_gemma":[0.000099296936,0.00018956633,0.00021883339,0.00010192895,0.000036968166,0.0007304586,0.00008751272,0.00024066672,0.0001251632],"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":[0.00012023987,0.000074105985,0.85263366,0.000008072178,0.00009293334,0.000012029764,0.00020364171,0.009467705,0.0000059590425,0.1326491,0.0001647129,0.004567859],"study_design_scores_gemma":[0.0026766704,0.00013769252,0.4792385,0.000079169375,0.0000041323133,0.000066265515,0.00012452132,0.17418362,0.00003478296,0.17615017,0.16680323,0.0005012394],"about_ca_topic_score_codex":0.00035935786,"about_ca_topic_score_gemma":0.000114648625,"teacher_disagreement_score":0.37339514,"about_ca_system_score_codex":0.00060601917,"about_ca_system_score_gemma":0.00011201792,"threshold_uncertainty_score":0.7730291},"labels":[],"label_agreement":null},{"id":"W2996392775","doi":"10.1002/ijfe.1747","title":"Macroeconomic news, public communications, and foreign exchange jumps around U.S. and European financial crises","year":2019,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Treasury; Recession; Economics; Currency; Sovereign debt; Debt; Financial crisis; Sovereignty; Monetary economics; Financial system; Jump; Finance; Political science; Keynesian economics","score_opus":0.07431193378532344,"score_gpt":0.2468642947100157,"score_spread":0.17255236092469226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996392775","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":[0.97253144,0.0064700604,0.00029823434,0.0040047895,0.0010367363,0.00014339588,0.00021421931,0.000009707254,0.015291417],"genre_scores_gemma":[0.96469706,0.031302698,0.0016412375,0.00139897,0.0004909098,0.0000035579249,0.00001906729,0.000033115222,0.00041341045],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981431,0.00003285465,0.0011757838,0.00032838195,0.000027020134,0.00029290875],"domain_scores_gemma":[0.99797165,0.0001020912,0.0013172184,0.00042799464,0.00005196656,0.00012908407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00083715614,0.00021486032,0.0005344113,0.00042244815,0.00009258451,0.00031677636,0.0008823932,0.000089837704,0.00020103324],"category_scores_gemma":[0.00008572161,0.00026635788,0.00014722477,0.00004029435,0.00016059805,0.0013602303,0.00029938575,0.00027265257,0.00031219234],"study_design_candidate":"not_applicable","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":[0.00022499176,0.00019819305,0.5531578,0.000054604818,0.00037834118,0.000022550645,0.0009787073,0.0008004813,0.00002362371,0.36517906,0.005368364,0.07361328],"study_design_scores_gemma":[0.0032583845,0.00035008334,0.11316912,0.00007343921,0.000019288287,0.00053765095,0.00022616675,0.017090753,0.000034002485,0.08047903,0.78407115,0.00069096015],"about_ca_topic_score_codex":0.00019446653,"about_ca_topic_score_gemma":0.000066084795,"teacher_disagreement_score":0.77870274,"about_ca_system_score_codex":0.00021288969,"about_ca_system_score_gemma":0.000055213706,"threshold_uncertainty_score":0.99997884},"labels":[],"label_agreement":null},{"id":"W2999138654","doi":"10.1002/ijfe.1807","title":"Heterogeneous investment horizons, risk regimes, and realized jumps","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Jump; Economics; Bond; Treasury; Downside risk; Tail risk; Econometrics; Risk premium; Financial market; Jump diffusion; Monetary economics; Financial economics; Portfolio; Finance; Geography; Physics","score_opus":0.023826426713393817,"score_gpt":0.2124887680844667,"score_spread":0.18866234137107288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999138654","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":[0.9762964,0.009392324,0.002375682,0.005885685,0.0010056488,0.00010908745,0.00036549015,0.000013187896,0.0045564924],"genre_scores_gemma":[0.98425657,0.011685404,0.0020935405,0.0010757016,0.0006051919,0.0000033259143,0.000008707444,0.000022378925,0.00024920728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99839205,0.000017874254,0.0011175206,0.00027048588,0.000045574947,0.00015648606],"domain_scores_gemma":[0.9978967,0.000031632473,0.0016801733,0.00015789176,0.00010766474,0.0001259436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032898306,0.00015022169,0.0005381349,0.00017456953,0.00005885123,0.00013217815,0.00041751505,0.00006191829,0.00016712687],"category_scores_gemma":[0.000115248105,0.00017200416,0.00024519084,0.00007861,0.00005487641,0.00030351937,0.000102751605,0.00016851358,0.00007243325],"study_design_candidate":"not_applicable","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":[0.00071526016,0.00021150992,0.09362489,0.000039647817,0.0022023437,0.00019772393,0.0019361312,0.01668407,0.00004057076,0.84645295,0.013226664,0.02466822],"study_design_scores_gemma":[0.0016835566,0.00034981023,0.008837926,0.000031879856,0.00003855543,0.00018765542,0.00008678287,0.014440257,0.00007784979,0.040793616,0.93313116,0.0003409427],"about_ca_topic_score_codex":0.00027171115,"about_ca_topic_score_gemma":0.000029557877,"teacher_disagreement_score":0.91990453,"about_ca_system_score_codex":0.00013835268,"about_ca_system_score_gemma":0.000039568527,"threshold_uncertainty_score":0.7014126},"labels":[],"label_agreement":null},{"id":"W3024006442","doi":"10.1002/ijfe.2006","title":"A study on volatility spurious almost integration effect: A threshold realized <scp>GARCH</scp> approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Risk and Volatility Modeling","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":"University of Waterloo","funders":"","keywords":"Spurious relationship; Volatility (finance); Econometrics; Economics; Autoregressive conditional heteroskedasticity; Monte Carlo method; Forward volatility; Stochastic volatility; Mathematics; Statistics","score_opus":0.05603211644359377,"score_gpt":0.2691529275338282,"score_spread":0.21312081109023442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024006442","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":[0.9759115,0.00048085116,0.0140138725,0.0008157887,0.0010658593,0.0004417146,0.00015695016,0.0000242944,0.007089186],"genre_scores_gemma":[0.99704677,0.00037351367,0.0011526676,0.0005425024,0.0007168788,0.000019728817,0.000022172604,0.00003828816,0.000087506225],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972587,0.00004668339,0.0017104329,0.0005493815,0.0001343652,0.00030039143],"domain_scores_gemma":[0.99762565,0.00021434888,0.0014889997,0.00030196935,0.00022899325,0.00014001934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013042022,0.00030399882,0.000846915,0.00029655377,0.000100486934,0.00019641538,0.00089427724,0.00015131441,0.000016867132],"category_scores_gemma":[0.0010420247,0.00033008284,0.0003687669,0.00017659667,0.00006416046,0.0006170091,0.00011709676,0.0006395372,0.000087006454],"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":[0.002937244,0.0040317387,0.64651537,0.000087546745,0.0013208531,0.00025227864,0.030902674,0.048923768,0.00015420212,0.21859446,0.007015368,0.039264493],"study_design_scores_gemma":[0.014408938,0.0070542726,0.222517,0.00022888681,0.000102792306,0.00014270747,0.0018305302,0.62773025,0.0011794276,0.064860895,0.05906963,0.0008746437],"about_ca_topic_score_codex":0.00008954184,"about_ca_topic_score_gemma":0.000025177686,"teacher_disagreement_score":0.5788065,"about_ca_system_score_codex":0.000348787,"about_ca_system_score_gemma":0.00009792992,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W3037183302","doi":"10.1002/ijfe.1910","title":"Not everyone is a follower: The behaviour of interest rate and equity markets within major economies relative to the United States","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","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; Equity (law); Interest rate; Equity capital markets; Monetary economics; Equity risk; Financial market; Exchange rate; Financial crisis; Bond; Bond market; Financial economics; Macroeconomics; Finance; Private equity","score_opus":0.057263531619955337,"score_gpt":0.2685354490292455,"score_spread":0.21127191740929013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037183302","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":[0.96551305,0.00032344798,0.0017627996,0.03009645,0.00075924385,0.00017477546,0.0008213695,0.0000037035556,0.0005451747],"genre_scores_gemma":[0.9939992,0.0011879865,0.00049054803,0.0039035764,0.00014492076,0.000005818865,0.000010858382,0.00001739364,0.00023969653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981961,0.00004676329,0.001287268,0.00026174658,0.00004017069,0.0001678998],"domain_scores_gemma":[0.9975449,0.0003068452,0.0016365827,0.00021727374,0.00020651206,0.000087905384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014376004,0.00017133658,0.00043871105,0.00016828514,0.00008064725,0.00014955587,0.0008664526,0.00006744704,0.00012273452],"category_scores_gemma":[0.00038943198,0.00013921292,0.00018610166,0.00012177886,0.00013414747,0.0004027006,0.00035389635,0.0003214221,0.000014284705],"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":[0.0050952956,0.00034539212,0.5663819,0.00007041835,0.0022375407,0.000038913615,0.02029153,0.007638068,0.00005788735,0.3790817,0.01321776,0.0055436385],"study_design_scores_gemma":[0.0029850681,0.0006487914,0.4576078,0.00015398691,0.000082399325,0.00006340097,0.0009986301,0.31774968,0.00052546075,0.11735895,0.101155736,0.00067007315],"about_ca_topic_score_codex":0.00020686649,"about_ca_topic_score_gemma":0.00021439372,"teacher_disagreement_score":0.3101116,"about_ca_system_score_codex":0.00015106861,"about_ca_system_score_gemma":0.00006316856,"threshold_uncertainty_score":0.5676938},"labels":[],"label_agreement":null},{"id":"W3044025017","doi":"10.1002/ijfe.1823","title":"Time‐dependent intrinsic correlation analysis of crude oil and the <scp>US</scp> dollar based on <scp>CEEMDAN</scp>","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Econometrics; Economics; Correlation; Diversification (marketing strategy); Crude oil; Hilbert–Huang transform; Us dollar; Liberian dollar; Portfolio; Negative correlation; Mathematics; Statistics; Financial economics; White noise; Monetary economics; Exchange rate","score_opus":0.011591132782527498,"score_gpt":0.2047377439614359,"score_spread":0.1931466111789084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044025017","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":[0.9828219,0.00060590776,0.003967712,0.0013121915,0.0006414598,0.00007546672,0.0004618949,0.000006982773,0.010106506],"genre_scores_gemma":[0.9955015,0.0020292222,0.0005092186,0.0011012921,0.00023262172,0.000004415724,0.00003254577,0.0000207571,0.00056838244],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978077,0.00005573313,0.0014695751,0.00034443202,0.00012263814,0.00019995196],"domain_scores_gemma":[0.99610084,0.0009738095,0.0023222251,0.00025644325,0.00024582807,0.00010087296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014588684,0.0002090708,0.00080913707,0.000489591,0.00006897743,0.00013365723,0.00064356433,0.00012789013,0.00006124011],"category_scores_gemma":[0.0012456926,0.00020360961,0.00044593317,0.00030152831,0.00016522189,0.00030912564,0.00010121729,0.00034488775,0.000024289022],"study_design_candidate":"simulation_or_modeling","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":[0.0004636115,0.00043583097,0.6216465,0.000054478296,0.0035019447,0.000030197805,0.0020268348,0.27314654,0.00003792812,0.082994744,0.0021717895,0.0134895425],"study_design_scores_gemma":[0.0022395055,0.00012340443,0.075447865,0.000027129963,0.00012878129,0.000006475423,0.000057756744,0.8927292,0.000041008963,0.0042470586,0.024897546,0.000054270728],"about_ca_topic_score_codex":0.000051357296,"about_ca_topic_score_gemma":0.000029745335,"teacher_disagreement_score":0.61958265,"about_ca_system_score_codex":0.0001928773,"about_ca_system_score_gemma":0.00007962301,"threshold_uncertainty_score":0.8302959},"labels":[],"label_agreement":null},{"id":"W3044927196","doi":"10.1002/ijfe.1931","title":"Relationship between investor sentiment and earnings news in high‐ and low‐sentiment periods","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Earnings; Equity (law); Economics; Stock (firearms); Volatility (finance); Earnings growth; Stock price; Market sentiment; Financial economics; Stock market; Monetary economics; Econometrics; Finance; Series (stratigraphy)","score_opus":0.03794296978450186,"score_gpt":0.2344307154752239,"score_spread":0.19648774569072203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044927196","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":[0.9888009,0.0008304663,0.0001885837,0.008540334,0.00042148418,0.000090193294,0.00005135364,0.000004790151,0.001071902],"genre_scores_gemma":[0.9958986,0.001462607,0.0013723818,0.00080418953,0.00033191088,0.0000035612072,0.000007594714,0.0000145235645,0.00010461808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986192,0.000015341166,0.0009225763,0.00024758466,0.000042101048,0.00015322547],"domain_scores_gemma":[0.99890727,0.00007625737,0.00080737605,0.00007366574,0.00004268505,0.000092749004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032161645,0.00013938297,0.0003854408,0.0002143855,0.00004662202,0.00014557576,0.0002155117,0.000076508106,0.000041499232],"category_scores_gemma":[0.00015555469,0.00016688884,0.000068385576,0.00007006113,0.000091743525,0.0006355003,0.000087790286,0.00022912891,0.00002312628],"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":[0.00004289931,0.00002493245,0.8736137,0.000011662935,0.000031768206,0.000009439074,0.00061190646,0.0002565321,0.000005476541,0.12431839,0.00030075887,0.00077252265],"study_design_scores_gemma":[0.0010487847,0.0001416631,0.95294124,0.0000411267,0.0000059125623,0.000010321079,0.0000859497,0.0006071995,0.00003231405,0.023511259,0.021404654,0.00016956122],"about_ca_topic_score_codex":0.000108584194,"about_ca_topic_score_gemma":0.00001526204,"teacher_disagreement_score":0.10080713,"about_ca_system_score_codex":0.00014365416,"about_ca_system_score_gemma":0.00005260227,"threshold_uncertainty_score":0.68055296},"labels":[],"label_agreement":null},{"id":"W3046253984","doi":"10.1002/ijfe.1870","title":"The role of financial stress in the economic activity: Fresh evidence from a Granger‐causality in quantiles analysis for the UK and Germany","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Quantile; Causality (physics); Granger causality; Economics; Econometrics; Distribution (mathematics); Conditional probability distribution; Quantile regression; Financial crisis; Macroeconomics; Mathematics","score_opus":0.07235947126657752,"score_gpt":0.27435661674007156,"score_spread":0.20199714547349404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046253984","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":[0.9859597,0.005205087,0.0005773499,0.006762551,0.00034365218,0.00018348022,0.00091307965,0.0000013929542,0.000053704563],"genre_scores_gemma":[0.9903596,0.008689963,0.000116067626,0.0004108768,0.0003900955,0.000015711965,0.000003933116,0.000008779146,0.0000049688183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836016,0.00004061653,0.0011077733,0.00024655406,0.00003630628,0.00020858222],"domain_scores_gemma":[0.996853,0.0015347529,0.0013156167,0.00023372081,0.000025810405,0.000037102847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012551722,0.0001460573,0.00051880867,0.00017864104,0.00007841352,0.00014656957,0.001001133,0.00007372898,0.000036855403],"category_scores_gemma":[0.00039113086,0.00011154725,0.00028617878,0.00009725834,0.00013056213,0.00045468865,0.00007679983,0.00024900137,0.000006416783],"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":[0.0007243944,0.000050762083,0.8560065,0.0000070955475,0.0004248846,0.0000040235304,0.0029955185,0.11064764,0.000026373104,0.021479331,0.00022155917,0.0074118995],"study_design_scores_gemma":[0.00063175533,0.00008692342,0.8034308,0.00003724934,0.0000448227,0.00000375806,0.00026698416,0.1672449,0.00020644577,0.021967066,0.0059268405,0.0001524761],"about_ca_topic_score_codex":0.0036516676,"about_ca_topic_score_gemma":0.0066247983,"teacher_disagreement_score":0.056597263,"about_ca_system_score_codex":0.00017606386,"about_ca_system_score_gemma":0.00008327813,"threshold_uncertainty_score":0.5520254},"labels":[],"label_agreement":null},{"id":"W3047307740","doi":"10.1002/ijfe.2100","title":"Contemporaneous linkages: Funding liquidity and stock market spirals","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Market liquidity; Economics; Credit rationing; Rationing; Monetary economics; Financial system; Stock market; Stock (firearms); Market maker; Monetary policy; Central bank; Funding liquidity; Business; Liquidity crisis; Interest rate","score_opus":0.04760140355797242,"score_gpt":0.2542977243873452,"score_spread":0.20669632082937278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047307740","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":[0.9814474,0.0023608499,0.0053600473,0.005733076,0.0013111829,0.00012533655,0.00013870647,0.000015563186,0.003507859],"genre_scores_gemma":[0.9954617,0.0014923534,0.0015131349,0.00072635524,0.00063826935,0.0000022841991,0.0000039280712,0.000022273109,0.00013969201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812514,0.000020529367,0.0012671218,0.00032610176,0.000060555474,0.00020056374],"domain_scores_gemma":[0.9979682,0.00013466274,0.0014564096,0.00015474187,0.00018246971,0.00010349847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083946844,0.0001642776,0.00047743134,0.00018456564,0.00006555838,0.00016302087,0.0005516812,0.000101227415,0.00022743124],"category_scores_gemma":[0.00037805847,0.00020305377,0.00016807386,0.0000821033,0.00010984209,0.0005638221,0.00010406398,0.00023874483,0.000035159374],"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":[0.0006883874,0.00045941267,0.64435315,0.00013095526,0.00062017253,0.00014931856,0.003978074,0.021295927,0.0001263517,0.292138,0.00662461,0.029435625],"study_design_scores_gemma":[0.005257396,0.0012164257,0.4069289,0.00020879043,0.000039981678,0.00054871157,0.00022961177,0.092078865,0.0005141044,0.090595044,0.40102634,0.0013558551],"about_ca_topic_score_codex":0.000023436844,"about_ca_topic_score_gemma":0.000006749282,"teacher_disagreement_score":0.39440173,"about_ca_system_score_codex":0.00022447579,"about_ca_system_score_gemma":0.000074597156,"threshold_uncertainty_score":0.8280293},"labels":[],"label_agreement":null},{"id":"W3047988591","doi":"10.1002/ijfe.2157","title":"Role of financial development in economic growth in the light of asymmetric effects and financial efficiency","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":96,"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; Openness to experience; Shock (circulatory); Financialization; Macroeconomics; Monetary economics; Finance","score_opus":0.007946081514221146,"score_gpt":0.18612285022174624,"score_spread":0.17817676870752508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047988591","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":[0.9937814,0.001808614,0.00024020909,0.0010368044,0.000444208,0.00015548857,0.00004276104,0.0000019736199,0.002488524],"genre_scores_gemma":[0.9968881,0.0015060372,0.0010091468,0.00038015668,0.00017925871,0.000010008277,0.0000029716546,0.000017122833,0.0000072045996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99746186,0.00003023076,0.0019010047,0.0003194832,0.00005679272,0.00023065692],"domain_scores_gemma":[0.99785894,0.00016157285,0.0017513601,0.00013858076,0.000035555193,0.000054008626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090684637,0.00019282105,0.0006972457,0.00064169563,0.000023034667,0.000029225965,0.00086668273,0.00012066663,0.000017541393],"category_scores_gemma":[0.00042768114,0.000211431,0.00014432776,0.00018102964,0.00009082265,0.0003850338,0.00012553863,0.00026912347,0.000019579917],"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":[0.00030434493,0.00046787376,0.48352268,0.0000861231,0.00007309418,0.000029328356,0.0046644094,0.011731445,0.00019709893,0.48660028,0.00015783714,0.012165495],"study_design_scores_gemma":[0.003712619,0.0004237906,0.93227494,0.00012640712,0.000009800659,0.000036085723,0.000116102325,0.0034179164,0.008566636,0.03154779,0.01932599,0.00044192423],"about_ca_topic_score_codex":0.00006858351,"about_ca_topic_score_gemma":0.00006970951,"teacher_disagreement_score":0.45505247,"about_ca_system_score_codex":0.00035406183,"about_ca_system_score_gemma":0.00018944366,"threshold_uncertainty_score":0.86219066},"labels":[],"label_agreement":null},{"id":"W3048392280","doi":"10.1002/ijfe.2068","title":"International trade and income convergence: Sorting out the nature of bilateral trade","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Bilateral trade; Convergence (economics); International economics; International trade; Trade barrier; Spillover effect; Economic integration; International free trade agreement; Comparative advantage; Free trade; Gravity model of trade; Developing country; Macroeconomics; Economic growth","score_opus":0.024012681017388175,"score_gpt":0.2369706307673304,"score_spread":0.21295794974994223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048392280","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":[0.9437811,0.0011634962,0.00039730794,0.048470948,0.003620916,0.00008813856,0.00021151462,0.0000061443966,0.0022604482],"genre_scores_gemma":[0.99473625,0.002202163,0.0006087845,0.0013806428,0.0010214134,0.0000020036582,0.000005590932,0.000016249553,0.000026910835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982735,0.000015956668,0.0012276102,0.00026731726,0.000052163246,0.0001634819],"domain_scores_gemma":[0.9979744,0.00008951477,0.0016884095,0.00013613424,0.000035872483,0.00007569136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058074686,0.00015104067,0.00042592656,0.00013543117,0.00004638981,0.00008340589,0.00081463234,0.00012324276,0.00009817081],"category_scores_gemma":[0.00022373839,0.00014733942,0.00019769804,0.000053471707,0.00013235598,0.0006385193,0.0001040151,0.00048478672,0.000012298529],"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":[0.0005043131,0.00014063291,0.6699816,0.000044655408,0.00080672425,0.000028006698,0.0046926616,0.0027338504,0.00040590257,0.30489036,0.00179166,0.013979649],"study_design_scores_gemma":[0.0037549331,0.00041074114,0.5091718,0.000111570385,0.000038889808,0.00033492924,0.0003973797,0.021804776,0.004432847,0.08532217,0.37342554,0.0007944661],"about_ca_topic_score_codex":0.000010796279,"about_ca_topic_score_gemma":0.0000069588596,"teacher_disagreement_score":0.3716339,"about_ca_system_score_codex":0.00009517694,"about_ca_system_score_gemma":0.000054571567,"threshold_uncertainty_score":0.6008327},"labels":[],"label_agreement":null},{"id":"W3048778345","doi":"10.1002/ijfe.1961","title":"Do investors gain from forecasting the asymmetric return co‐movements of financial and real assets?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Real estate; Diversification (marketing strategy); Bond; Portfolio; Volatility (finance); Econometrics; Financial economics; Asset allocation; Risk premium; Predictability; Finance; Business","score_opus":0.04600968083562897,"score_gpt":0.24535308777581957,"score_spread":0.1993434069401906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048778345","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":[0.99113065,0.0006241556,0.0012638489,0.0013145349,0.0007872669,0.00008791767,0.00055161206,0.000003241965,0.0042367764],"genre_scores_gemma":[0.9956613,0.002021027,0.0012384284,0.0005848036,0.00043593266,0.0000019403099,0.000012873239,0.000014913015,0.00002877816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982723,0.000023885123,0.0012301822,0.00024691725,0.000070340335,0.0001563933],"domain_scores_gemma":[0.9975067,0.00022124729,0.0019114928,0.000150449,0.0001328128,0.00007731818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088209065,0.00013994495,0.00043905282,0.00017390601,0.000053844633,0.00009681761,0.00059273484,0.00009033063,0.000062006795],"category_scores_gemma":[0.0006987156,0.00014170817,0.00016528077,0.00012519551,0.00009169634,0.00034389808,0.00011425647,0.00026706912,0.0000036312424],"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":[0.00020069325,0.000057013272,0.9497868,0.000011085666,0.00014276845,0.000010923581,0.00064094836,0.00022383394,0.000017954,0.03460884,0.00076125265,0.013537892],"study_design_scores_gemma":[0.0024246166,0.00035385165,0.60799325,0.00009304758,0.000021668098,0.000024698691,0.00013024951,0.20561905,0.0002275027,0.14548609,0.03719326,0.00043272163],"about_ca_topic_score_codex":0.00026206273,"about_ca_topic_score_gemma":0.000038847153,"teacher_disagreement_score":0.34179357,"about_ca_system_score_codex":0.00013795684,"about_ca_system_score_gemma":0.00008436099,"threshold_uncertainty_score":0.5778691},"labels":[],"label_agreement":null},{"id":"W3048827450","doi":"10.1002/ijfe.1915","title":"Asymmetric interdependence between currency markets' volatilities across frequencies and time scales","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":21,"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; Currency; Econometrics; Portfolio; Pound (networking); Liberian dollar; Semivariance; Us dollar; Monetary economics; Financial economics; Mathematics; Statistics","score_opus":0.02894478877283779,"score_gpt":0.23986875827397572,"score_spread":0.21092396950113793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048827450","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":[0.9815795,0.0068103666,0.0026748485,0.002732769,0.00062112627,0.00007158577,0.0006604732,0.000012247791,0.0048371046],"genre_scores_gemma":[0.9954669,0.002349056,0.00082819327,0.00015228511,0.00068423036,0.0000021400742,0.000009313826,0.000017675267,0.0004902266],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980919,0.00001661907,0.0013035245,0.00029740177,0.0000678445,0.00022273135],"domain_scores_gemma":[0.99812835,0.00014884057,0.0012751623,0.00014200344,0.00019308702,0.000112551985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052973477,0.00017881501,0.00065284816,0.0002414001,0.00007692352,0.00025163102,0.00067569735,0.000076775126,0.00033905279],"category_scores_gemma":[0.0002962513,0.00020489776,0.00024910492,0.00016926782,0.00011834027,0.0008147008,0.0001939788,0.00022118597,0.00014515115],"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":[0.00028641772,0.0001355323,0.7460275,0.000092576745,0.0016009442,0.000045822515,0.00403667,0.00071321614,0.00003114625,0.1077759,0.006273204,0.13298102],"study_design_scores_gemma":[0.0023251446,0.00073141686,0.4026625,0.00019583748,0.00005256147,0.00014342552,0.00089974375,0.028774537,0.0001844464,0.07665545,0.48625925,0.0011156908],"about_ca_topic_score_codex":0.00009117552,"about_ca_topic_score_gemma":0.000018406143,"teacher_disagreement_score":0.47998604,"about_ca_system_score_codex":0.0001391785,"about_ca_system_score_gemma":0.000035831028,"threshold_uncertainty_score":0.8355488},"labels":[],"label_agreement":null},{"id":"W3049316601","doi":"10.1002/ijfe.2215","title":"Did equity returns and volatilities change after the 2016 Trump election victory?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"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; Volatility (finance); Equity (law); Diversification (marketing strategy); Stock (firearms); Autoregressive conditional heteroskedasticity; Financial economics; Victory; Monetary economics; China; Stock market; Presidential election; Business","score_opus":0.03997411759651301,"score_gpt":0.24566947490754265,"score_spread":0.20569535731102964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049316601","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":[0.9797871,0.0023575448,0.0012351241,0.01299886,0.00133923,0.000116782816,0.00022610344,0.000007286782,0.0019319488],"genre_scores_gemma":[0.9928353,0.004017376,0.00023576895,0.0018487925,0.0008844985,0.000009804245,0.000003843003,0.000014577658,0.0001500579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987767,0.000017447981,0.00077115145,0.00021988647,0.000047240264,0.0001676191],"domain_scores_gemma":[0.9988122,0.000070821174,0.0007967188,0.00013343677,0.000116542404,0.000070279624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060950685,0.0001343052,0.000305501,0.00009630841,0.000059244838,0.00015126065,0.0004149584,0.00007548918,0.0001964928],"category_scores_gemma":[0.00013869097,0.00012468419,0.00015200676,0.00005533504,0.000084314015,0.00063728873,0.00014804838,0.000256899,0.000013966543],"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":[0.0015502754,0.0001394648,0.8815019,0.000054603574,0.0004448761,0.000026575206,0.0057903705,0.00007532541,0.000019115225,0.072514676,0.0025047,0.03537813],"study_design_scores_gemma":[0.0012716304,0.00029871482,0.5055518,0.000062919185,0.000019018367,0.000083847284,0.00016257969,0.11678796,0.00003690072,0.091219366,0.2840869,0.0004183322],"about_ca_topic_score_codex":0.000059555005,"about_ca_topic_score_gemma":0.00007937023,"teacher_disagreement_score":0.37595007,"about_ca_system_score_codex":0.00016374234,"about_ca_system_score_gemma":0.000042158237,"threshold_uncertainty_score":0.50844735},"labels":[],"label_agreement":null},{"id":"W3049635446","doi":"10.1002/ijfe.2029","title":"Determining the causality between U.S. presidential prediction markets and global financial markets","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Financial market; Economics; Causality (physics); Outcome (game theory); Construct (python library); Financial economics; Presidential system; Presidential election; Politics; Finance; Political science; Microeconomics","score_opus":0.052423569977733286,"score_gpt":0.24357141628702325,"score_spread":0.19114784630928996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049635446","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":[0.9878868,0.00042945155,0.0014412763,0.0064567695,0.001366901,0.00010789974,0.0010106792,0.0000089416735,0.0012913042],"genre_scores_gemma":[0.99549216,0.0008358841,0.0004142446,0.0012458455,0.0019515213,0.0000026404186,0.000013880384,0.000013570362,0.000030275112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982425,0.000029004088,0.0011721982,0.00027980414,0.000048886828,0.00022761173],"domain_scores_gemma":[0.9984066,0.00009701531,0.0011754383,0.00014216176,0.000053278884,0.0001255461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069337816,0.0001742603,0.00042486304,0.00007682856,0.00009803825,0.00018715751,0.000596302,0.00011104824,0.00009890379],"category_scores_gemma":[0.00038504522,0.00018121801,0.00018017773,0.00005136666,0.000102222395,0.00081470545,0.00013615105,0.0002485257,0.000046514415],"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":[0.0003335839,0.00003778532,0.96929467,0.000012268462,0.00021604437,0.00001326991,0.00035204864,0.0018672453,0.0000014604151,0.008992899,0.005704167,0.013174553],"study_design_scores_gemma":[0.0011693258,0.000099096564,0.93635046,0.000017357572,0.000019241274,0.0000458232,0.000012728727,0.0075103324,0.000021944768,0.013640609,0.040943164,0.00016990896],"about_ca_topic_score_codex":0.000050285158,"about_ca_topic_score_gemma":0.0000120286695,"teacher_disagreement_score":0.035239,"about_ca_system_score_codex":0.00020999559,"about_ca_system_score_gemma":0.000067530484,"threshold_uncertainty_score":0.73898566},"labels":[],"label_agreement":null},{"id":"W3055633711","doi":"10.1002/ijfe.2206","title":"Oil price uncertainty and the risk‐return relation in stock markets: Evidence from oil‐importing and oil‐exporting countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Oil price; Economics; Volatility (finance); Stock (firearms); Financial economics; Autoregressive conditional heteroskedasticity; Risk–return spectrum; Financial crisis; Crude oil; Monetary economics; Oil-storage trade; Econometrics; Macroeconomics","score_opus":0.02198356598218253,"score_gpt":0.23223592525722977,"score_spread":0.21025235927504723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3055633711","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":[0.98497903,0.0053022415,0.00064433744,0.007099865,0.000464315,0.00002671044,0.00014357829,0.0000049538903,0.0013349907],"genre_scores_gemma":[0.9631637,0.03488633,0.0010409204,0.0005055856,0.0002752281,0.0000048254205,0.000005488849,0.000014412843,0.00010353465],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766326,0.000059508704,0.0016892139,0.00033422117,0.00007045316,0.00018334216],"domain_scores_gemma":[0.995722,0.0008373416,0.0030980068,0.00014161986,0.00012996288,0.00007107587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026557362,0.00016569492,0.00049485714,0.00011903017,0.00009694508,0.00021727197,0.00038164083,0.000096086835,0.000057825277],"category_scores_gemma":[0.0022678035,0.00015963691,0.0001096999,0.00008291636,0.00014486343,0.0008397504,0.00014199491,0.00045086903,0.0000026871253],"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":[0.0008306398,0.000017068856,0.9657711,0.000024475868,0.00009549885,0.000011106197,0.0017888544,0.0012722192,0.0000040223035,0.0068105175,0.000039488874,0.023335004],"study_design_scores_gemma":[0.002079559,0.000037852507,0.34728548,0.00024041538,0.0000162211,0.000025694135,0.00016864174,0.62774366,0.000005192336,0.013866595,0.008297145,0.00023354511],"about_ca_topic_score_codex":0.00054640754,"about_ca_topic_score_gemma":0.00021086643,"teacher_disagreement_score":0.62647146,"about_ca_system_score_codex":0.00021764771,"about_ca_system_score_gemma":0.00007791226,"threshold_uncertainty_score":0.6509805},"labels":[],"label_agreement":null},{"id":"W3063262547","doi":"10.1002/ijfe.2057","title":"Bank connections and small business performance: Evidence from Canadian survey data","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","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":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Small business; Business; Capital (architecture); Social capital; Finance; Economics; Accounting","score_opus":0.09348535020453214,"score_gpt":0.23435038443392253,"score_spread":0.1408650342293904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3063262547","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":[0.9886377,0.0003416252,0.00058248715,0.008572553,0.0013092705,0.00005088303,0.00026870528,0.000006486774,0.00023028343],"genre_scores_gemma":[0.99171185,0.0030788959,0.00028750798,0.0031573635,0.0016494687,9.917529e-7,0.00007320497,0.000013483359,0.000027229049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991081,0.0000063943817,0.00040649105,0.00023604123,0.00009710824,0.00014588461],"domain_scores_gemma":[0.99842197,0.000088380206,0.0006803297,0.00018410769,0.0005948815,0.000030363002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033162136,0.00012043742,0.00020493708,0.00011094098,0.00007824249,0.00028031142,0.00096496847,0.000046428526,0.00006738004],"category_scores_gemma":[0.00051190535,0.00012953155,0.000029678064,0.00016911225,0.000044999048,0.0028408836,0.00018223417,0.00016246767,0.00006452543],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019110681,0.000016892634,0.97061354,0.000015228362,0.00005897645,0.000040150873,0.0000479101,0.0034206456,0.000022636916,0.00045177067,0.0072065284,0.01791461],"study_design_scores_gemma":[0.00039352948,0.000010297512,0.8853603,0.00013173425,0.000017938515,0.000011486423,0.000013262477,0.014332424,0.000011205758,0.00017276296,0.09940385,0.00014119892],"about_ca_topic_score_codex":0.07993239,"about_ca_topic_score_gemma":0.1366518,"teacher_disagreement_score":0.09219732,"about_ca_system_score_codex":0.000081415485,"about_ca_system_score_gemma":0.0003239933,"threshold_uncertainty_score":0.9261944},"labels":[],"label_agreement":null},{"id":"W3081128723","doi":"10.1002/ijfe.2205","title":"The impact of the yield curve on the equity returns of insurance companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":12,"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":"Yield curve; Economics; Equity (law); Yield (engineering); Financial economics; Debt; Shareholder; Interest rate; Monetary economics; Econometrics; Finance; Corporate governance","score_opus":0.06353363088781426,"score_gpt":0.2752191441720725,"score_spread":0.21168551328425822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081128723","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":[0.9821076,0.0009114725,0.00020655582,0.008603228,0.001182729,0.00014480596,0.00031443764,0.0000024071333,0.006526794],"genre_scores_gemma":[0.9951494,0.003916657,0.000037095728,0.00052874454,0.00029188444,0.0000032773562,7.820399e-7,0.000011600998,0.0000605964],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9984285,0.000021804277,0.0011392821,0.00014617424,0.00009212164,0.0001720725],"domain_scores_gemma":[0.9968109,0.00027303674,0.0023911903,0.00028820417,0.00020870045,0.000027937213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007978042,0.00013636381,0.00038981938,0.00006205441,0.000107160355,0.000065622065,0.0016333304,0.00005168603,0.00003462128],"category_scores_gemma":[0.0005457972,0.00008316339,0.0005031434,0.00013842604,0.00020146903,0.00022117495,0.00020306066,0.00031537248,0.00002054417],"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":[0.0006107255,0.00015809393,0.19133393,0.000014650168,0.0004798225,0.0000039281217,0.0015252026,0.032817714,0.000046402187,0.7594288,0.005936205,0.007644555],"study_design_scores_gemma":[0.0007653968,0.00047870516,0.89552176,0.00014532528,0.00000988957,0.000009431883,0.00019327723,0.0034578114,0.0011097003,0.06840149,0.029697495,0.0002096909],"about_ca_topic_score_codex":0.00014310915,"about_ca_topic_score_gemma":0.000045409914,"teacher_disagreement_score":0.70418787,"about_ca_system_score_codex":0.00015603603,"about_ca_system_score_gemma":0.000091399015,"threshold_uncertainty_score":0.33913046},"labels":[],"label_agreement":null},{"id":"W3081959843","doi":"10.1002/ijfe.2227","title":"Internet and private insurance participation","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"The Internet; Propensity score matching; Instrumental variable; Matching (statistics); Business; China; Private information retrieval; Private insurance; Actuarial science; Economics; Health insurance; Political science; Economic growth; Econometrics","score_opus":0.024655637837062656,"score_gpt":0.23385789741073618,"score_spread":0.20920225957367353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081959843","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":[0.99615073,0.00011116043,0.00031182263,0.002341756,0.0005548174,0.00004616664,0.00000417061,0.000009481587,0.0004698877],"genre_scores_gemma":[0.99446154,0.00023655218,0.00054682523,0.0033152953,0.001383067,0.0000016321922,0.000008092625,0.0000117277505,0.000035269517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907595,0.000005048744,0.0005363223,0.0001455364,0.00012904445,0.000108123764],"domain_scores_gemma":[0.9988075,0.00002094241,0.0007837855,0.00006191187,0.00031095723,0.000014886584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017701993,0.00010463089,0.0002042364,0.0001359394,0.000027760881,0.00020592911,0.00032290467,0.000032969732,0.00008587005],"category_scores_gemma":[0.00018617186,0.000106894266,0.00008727248,0.00009730498,0.000037918217,0.0015102214,0.000116266754,0.00010930529,0.00007221782],"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":[0.00020262008,0.000038322338,0.95293486,0.000015398926,0.00003514896,0.00002236683,0.00014315665,0.0011904457,0.00014249023,0.034637522,0.0013659378,0.00927172],"study_design_scores_gemma":[0.00091803155,0.000038087248,0.80097574,0.00008371501,0.000039679417,0.000008385458,0.00001572488,0.027854964,0.0003350342,0.0040442734,0.16548294,0.0002034103],"about_ca_topic_score_codex":0.000029720326,"about_ca_topic_score_gemma":0.000019900714,"teacher_disagreement_score":0.164117,"about_ca_system_score_codex":0.000040839528,"about_ca_system_score_gemma":0.000019120072,"threshold_uncertainty_score":0.43590215},"labels":[],"label_agreement":null},{"id":"W3087417407","doi":"10.1002/ijfe.2274","title":"How do economic policy uncertainties affect stock market volatility? Evidence from <scp>G7</scp> countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":80,"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":"National Natural Science Foundation of China","keywords":"Spillover effect; Economics; Volatility (finance); Stock market; Stock (firearms); Monetary economics; Financial crisis; International economics; Economic policy; Macroeconomics; Financial economics","score_opus":0.028772302982478577,"score_gpt":0.25027017044586336,"score_spread":0.2214978674633848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087417407","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":[0.9708228,0.0038125468,0.004965806,0.012950341,0.0021495323,0.00021088461,0.0016607931,0.000022925125,0.0034043628],"genre_scores_gemma":[0.98766387,0.007325586,0.0013537287,0.000931019,0.0019043628,0.000009102508,0.000018519862,0.000043695163,0.0007500984],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973252,0.00005501216,0.0014993134,0.00061261345,0.00010755097,0.00040031257],"domain_scores_gemma":[0.9959535,0.00085268467,0.002343439,0.00039186398,0.00024920172,0.00020931894],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010478607,0.00036246178,0.0009156227,0.00035183955,0.0001009986,0.00083618093,0.0014634498,0.00019348085,0.00033835132],"category_scores_gemma":[0.0017958595,0.00043356165,0.00047324863,0.00011310358,0.00018271762,0.0019353033,0.00024199557,0.00044827958,0.00006237965],"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":[0.00045885556,0.00009554542,0.9171471,0.000058356753,0.00077601854,0.00003674616,0.0016936944,0.0019764164,0.000017059214,0.05552063,0.016877407,0.005342159],"study_design_scores_gemma":[0.0018500459,0.00036086043,0.15796596,0.00018827386,0.000036826677,0.000038056467,0.0002910858,0.38778153,0.00011726726,0.08607212,0.3648483,0.00044970162],"about_ca_topic_score_codex":0.00044509678,"about_ca_topic_score_gemma":0.00013957215,"teacher_disagreement_score":0.75918114,"about_ca_system_score_codex":0.0009967859,"about_ca_system_score_gemma":0.00041033505,"threshold_uncertainty_score":0.9998116},"labels":[],"label_agreement":null},{"id":"W3091938849","doi":"10.1002/ijfe.2285","title":"Does culture play a role in the stock market's response to uncertainty?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Uncertainty avoidance; Economics; Proxy (statistics); Stock market; Stock (firearms); Econometrics; Stock market index; Financial economics; Index (typography); Market economy; Statistics; Geography","score_opus":0.014451202746548852,"score_gpt":0.2346484921011298,"score_spread":0.22019728935458097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091938849","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":[0.9651138,0.00029416278,0.00071861345,0.027235838,0.0008539076,0.00016596529,0.00029255936,0.0000045933907,0.005320556],"genre_scores_gemma":[0.9942756,0.0004807022,0.0008353322,0.0036480539,0.00037664166,0.000008590977,0.0000038046587,0.000013180247,0.00035804734],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984818,0.000055763274,0.0009538069,0.00025654119,0.000063001615,0.00018910252],"domain_scores_gemma":[0.9987897,0.00017118768,0.00066646346,0.00018659246,0.00010652431,0.00007948431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015945429,0.00014308284,0.00034708335,0.00017379034,0.000039339437,0.00015006907,0.001069915,0.000079477235,0.00021368216],"category_scores_gemma":[0.00057180075,0.00010536874,0.00017921993,0.00013887216,0.00003278973,0.00029800803,0.000087972054,0.00032180673,0.000026180678],"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":[0.016925788,0.0006757065,0.769298,0.00003838716,0.0005195094,0.0002679224,0.027216604,0.020691508,0.00015801536,0.116433606,0.02423407,0.023540843],"study_design_scores_gemma":[0.001395781,0.00030725016,0.1308397,0.000039039638,0.00000544893,0.00003491792,0.0004988987,0.09116226,0.000013586325,0.050806176,0.72458535,0.00031159635],"about_ca_topic_score_codex":0.00005261197,"about_ca_topic_score_gemma":0.000116593554,"teacher_disagreement_score":0.70035124,"about_ca_system_score_codex":0.00024589337,"about_ca_system_score_gemma":0.00007343459,"threshold_uncertainty_score":0.42968124},"labels":[],"label_agreement":null},{"id":"W3093853256","doi":"10.1002/ijfe.2271","title":"Did reduction in corporate tax rate attract <scp>FDI</scp> in Pakistan?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":8,"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 Royal University; HEC Montréal","funders":"","keywords":"Foreign direct investment; Openness to experience; Autocracy; Economics; Corporate tax; Monetary economics; International economics; Exchange rate; Democracy; Error correction model; Politics; Business; Macroeconomics; Value-added tax; Tax avoidance","score_opus":0.03459385347115122,"score_gpt":0.24762976473585271,"score_spread":0.2130359112647015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093853256","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":[0.991544,0.000084917236,0.00029289714,0.0046451283,0.0012007912,0.00008351687,0.000008150454,0.000009846916,0.0021307515],"genre_scores_gemma":[0.9961574,0.00036622718,0.00020090565,0.0016994231,0.001319493,0.0000030985295,0.000012318533,0.000015689558,0.00022543056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987783,0.000012901186,0.0007680717,0.00018292238,0.00010967747,0.00014815803],"domain_scores_gemma":[0.9975481,0.00004156206,0.0020749387,0.00006928288,0.00025128765,0.00001481337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044284333,0.00012820173,0.00023493398,0.00030493565,0.000024557297,0.00022265286,0.00037506502,0.000049772305,0.00003154597],"category_scores_gemma":[0.00017836488,0.0001425231,0.00008097423,0.00025195442,0.00003441889,0.0017814656,0.000059070568,0.00026938503,0.0001053536],"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":[0.0011524695,0.0008452782,0.51300186,0.00013260783,0.00016847857,0.0010608197,0.0013423833,0.23984256,0.012805341,0.12125828,0.025818672,0.08257123],"study_design_scores_gemma":[0.0052655577,0.00007688173,0.500449,0.00035570998,0.000021594196,0.00007230796,0.0009095386,0.045458447,0.002031241,0.030091373,0.41491202,0.0003563445],"about_ca_topic_score_codex":0.000094579475,"about_ca_topic_score_gemma":0.00019672402,"teacher_disagreement_score":0.38909334,"about_ca_system_score_codex":0.00015905796,"about_ca_system_score_gemma":0.00008708441,"threshold_uncertainty_score":0.5811923},"labels":[],"label_agreement":null},{"id":"W3105642882","doi":"10.1002/ijfe.1456","title":"HOW RELIABLE ARE <i>DE FACTO</i> EXCHANGE RATE REGIME CLASSIFICATIONS?","year":2012,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","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":"Carleton University","funders":"","keywords":"De facto; Economics; Openness to experience; Exchange rate; Emerging markets; Exchange-rate regime; Monetary economics; Capital market; Financial market; Developing country; Interest rate parity; Capital flows; International economics; Macroeconomics; Finance; Market economy; Political science","score_opus":0.043022956595599404,"score_gpt":0.24560012589836433,"score_spread":0.20257716930276493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105642882","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":[0.95239025,0.008614696,0.0025617555,0.017872255,0.005107657,0.00011228598,0.00045032086,0.00001747952,0.012873284],"genre_scores_gemma":[0.9847868,0.008336675,0.0012234239,0.0012665781,0.0015925878,0.000007714,0.0000086796035,0.000024956054,0.0027525842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986066,0.000015650488,0.00076606794,0.00017437479,0.00004609434,0.00039121896],"domain_scores_gemma":[0.99761444,0.000049937833,0.0017814316,0.00022967902,0.00020493599,0.00011955607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008557339,0.00016902648,0.00042487736,0.0002514096,0.00007758059,0.00023725105,0.0006379904,0.00012356395,0.00007877327],"category_scores_gemma":[0.0002132444,0.00019720825,0.00024479214,0.000102596765,0.00006269525,0.0012458162,0.00006555904,0.00023220958,0.00018571249],"study_design_candidate":"not_applicable","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":[0.000089487185,0.000262219,0.15824707,0.000016552063,0.00015704021,0.0000102913555,0.0009924499,0.00058675796,0.000071526105,0.77433735,0.062328447,0.0029008156],"study_design_scores_gemma":[0.00044286664,0.000039680832,0.09408761,0.000031791085,0.0000069873804,0.000059653095,0.00013508342,0.00014448594,0.0003813514,0.01684934,0.8876137,0.00020743342],"about_ca_topic_score_codex":0.0000720381,"about_ca_topic_score_gemma":0.000016081076,"teacher_disagreement_score":0.82528526,"about_ca_system_score_codex":0.00045067418,"about_ca_system_score_gemma":0.000059728616,"threshold_uncertainty_score":0.80419195},"labels":[],"label_agreement":null},{"id":"W3112796818","doi":"10.1002/ijfe.2375","title":"Glassdoor's best places to work internationally: Are they best for shareholders?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Corporate Identity and Reputation","field":"Business, Management and Accounting","cited_by":10,"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":"Shareholder; Work (physics); Economics; Best practice; Financial economics; Accounting; Finance; Management; Engineering; Corporate governance; Mechanical engineering","score_opus":0.04514512338986514,"score_gpt":0.24438224087392438,"score_spread":0.19923711748405923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112796818","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":[0.9579185,0.00007529803,0.0045138635,0.033767086,0.002576892,0.00017460519,0.000037504746,0.000012898686,0.0009233164],"genre_scores_gemma":[0.9880143,0.00009814958,0.0013886866,0.004853222,0.0053248173,0.000009363408,0.000025505551,0.000020499772,0.0002654464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990181,0.0000033864374,0.0005056067,0.00017509187,0.00016472618,0.00013309547],"domain_scores_gemma":[0.9981074,0.0000546851,0.0010077722,0.00006006702,0.00074772653,0.000022390981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020852666,0.00012087594,0.00020153556,0.00018543999,0.00007100159,0.000531532,0.0006034975,0.00004730069,0.00006386539],"category_scores_gemma":[0.00025001602,0.00012660168,0.00015448233,0.000103073384,0.000018450153,0.0014574118,0.000124306,0.00011644776,0.00024029064],"study_design_candidate":"not_applicable","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":[0.0045482684,0.0007014328,0.18448915,0.00019811442,0.0009440762,0.00017179667,0.0011405696,0.51830983,0.0002889103,0.107262574,0.102741785,0.0792035],"study_design_scores_gemma":[0.0030014561,0.00018408692,0.043830987,0.00077040785,0.000118974174,0.000032452706,0.0011178261,0.011246603,0.0001662449,0.032355838,0.9065331,0.0006419733],"about_ca_topic_score_codex":0.0000374414,"about_ca_topic_score_gemma":0.00025783607,"teacher_disagreement_score":0.80379134,"about_ca_system_score_codex":0.00010535443,"about_ca_system_score_gemma":0.000057757396,"threshold_uncertainty_score":0.51626664},"labels":[],"label_agreement":null},{"id":"W3113130050","doi":"10.1002/ijfe.2367","title":"Inflation and economic activity in advanced and emerging economies","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Inflation (cosmology); Bivariate analysis; Autoregressive conditional heteroskedasticity; Emerging markets; Econometrics; Macroeconomics; Monetary economics; Keynesian economics; Volatility (finance)","score_opus":0.015557642501943867,"score_gpt":0.23418778163509513,"score_spread":0.21863013913315127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113130050","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":[0.9922242,0.00058006344,0.0005240143,0.0041757026,0.0004949,0.00007449384,0.000075469914,0.0000042977504,0.0018468172],"genre_scores_gemma":[0.99457884,0.004028403,0.0009465176,0.00024165548,0.0001672936,0.0000024677702,0.0000022790719,0.000012404359,0.000020129615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988035,0.000010790148,0.0007757495,0.00025953382,0.000017035101,0.00013338364],"domain_scores_gemma":[0.99889845,0.00007068235,0.0008466381,0.00008210894,0.00003258198,0.00006954099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042947946,0.00012503858,0.0003864565,0.00019589406,0.00002883546,0.00009564755,0.00020742117,0.0000653558,0.0000545964],"category_scores_gemma":[0.000092705064,0.00016451208,0.00006730709,0.00003196262,0.000052473973,0.00092330587,0.00009090044,0.00018274614,0.0000064866063],"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":[0.00034372296,0.000033167264,0.89976627,0.00001828759,0.000078258796,0.000008274769,0.0007501142,0.004243342,0.000043507243,0.056394495,0.000044367516,0.038276184],"study_design_scores_gemma":[0.0018627363,0.00011507316,0.5456753,0.000029159175,0.0000041983676,0.000025702691,0.00008002719,0.38986647,0.00006398641,0.039970316,0.022022609,0.00028444498],"about_ca_topic_score_codex":0.00006838212,"about_ca_topic_score_gemma":0.0001303049,"teacher_disagreement_score":0.38562313,"about_ca_system_score_codex":0.00020275885,"about_ca_system_score_gemma":0.000040965468,"threshold_uncertainty_score":0.67086077},"labels":[],"label_agreement":null},{"id":"W3113291947","doi":"10.1002/ijfe.2341","title":"ESG investment: What do we learn from its interaction with stock, currency and commodity markets?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Economics; Portfolio; Equity (law); Financial economics; Currency; Diversification (marketing strategy); Stock (firearms); Econometrics; Monetary economics; Business","score_opus":0.03457887860398233,"score_gpt":0.24209341906014215,"score_spread":0.2075145404561598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113291947","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":[0.9788766,0.006836201,0.0028718323,0.007767738,0.0014771707,0.00011532669,0.00027220286,0.000008093896,0.001774831],"genre_scores_gemma":[0.970987,0.026878191,0.00088207726,0.0007927732,0.00037106487,0.0000037546743,0.000016322645,0.000018881658,0.000049936927],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986046,0.000024732739,0.0008519465,0.00031855097,0.00005345454,0.0001467436],"domain_scores_gemma":[0.9982166,0.00010910805,0.0012645893,0.00014329079,0.0001461725,0.00012020486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030821728,0.0001764007,0.00042169806,0.00013750409,0.000052119507,0.00037540027,0.0004277097,0.00007935238,0.00021825603],"category_scores_gemma":[0.000105014675,0.00019275137,0.000113082504,0.00006268931,0.000058466565,0.0017922992,0.000109260945,0.0003680717,0.000020800771],"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":[0.002851445,0.0004962439,0.64734435,0.00007142312,0.0010661209,0.00011049932,0.0029858232,0.0018020329,0.000013523646,0.12759571,0.002355602,0.2133072],"study_design_scores_gemma":[0.0035726053,0.0005006499,0.087112494,0.0004695461,0.000034547204,0.00012700226,0.00044965115,0.3907656,0.00005766066,0.09359678,0.42259845,0.00071499706],"about_ca_topic_score_codex":0.000032795506,"about_ca_topic_score_gemma":0.000029936129,"teacher_disagreement_score":0.56023186,"about_ca_system_score_codex":0.00019400642,"about_ca_system_score_gemma":0.000054124474,"threshold_uncertainty_score":0.78601724},"labels":[],"label_agreement":null},{"id":"W3113954518","doi":"10.1002/ijfe.2427","title":"Household choices on investing in financial risky assets: Do national institutional factors have their own merit?","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":10,"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":"Portfolio; Economics; Corporate governance; Panel data; Portfolio allocation; Finance; Financial independence; Investment (military); Public economics; Business; Political science","score_opus":0.04256125148664903,"score_gpt":0.24176499560861517,"score_spread":0.19920374412196615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113954518","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":[0.99462074,0.00008215741,0.00005897403,0.0018597003,0.0011139318,0.00009719677,0.00006982955,0.000018496858,0.0020789877],"genre_scores_gemma":[0.9917215,0.00013602887,0.00036906687,0.0042487513,0.0034128374,0.0000044876597,0.00006023066,0.000023854358,0.000023231007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979104,0.000016185317,0.0010338876,0.00032479086,0.00047745745,0.00023728622],"domain_scores_gemma":[0.9978186,0.00012057818,0.0013534309,0.00009886773,0.0005780953,0.000030436266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005045222,0.00026572339,0.00041226894,0.000624212,0.00013056603,0.00037068911,0.0007757098,0.00010398246,0.000098119745],"category_scores_gemma":[0.0010900068,0.00025502456,0.00025851402,0.0002816112,0.000093042545,0.0023566321,0.0001541684,0.0004157302,0.00004412878],"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":[0.00028419093,0.0001799614,0.885539,0.000019374806,0.00004992619,0.00005657938,0.00021530288,0.05906452,0.00011809451,0.050092738,0.002531274,0.0018490736],"study_design_scores_gemma":[0.0019920405,0.00006943926,0.7451069,0.00034915633,0.000036287485,0.000012696258,0.00009536017,0.020144945,0.0003200022,0.009419578,0.22190702,0.00054661557],"about_ca_topic_score_codex":0.0001714237,"about_ca_topic_score_gemma":0.00024511945,"teacher_disagreement_score":0.21937574,"about_ca_system_score_codex":0.00034560292,"about_ca_system_score_gemma":0.00029157705,"threshold_uncertainty_score":0.9999902},"labels":[],"label_agreement":null},{"id":"W3117667731","doi":"10.1002/ijfe.2405","title":"Is the cost of equity a mere function of leverage? The case of bond <scp>IPOs</scp>","year":2020,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"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 Royal University; Royal Military College of Canada","funders":"","keywords":"Initial public offering; Bond; Agency cost; Leverage (statistics); Information asymmetry; Equity (law); Monetary economics; Free cash flow; Corporate governance; Business; Debt; Cost of equity; Corporate bond; Equity risk; Economics; Cost of capital; Cash flow; Financial system; Finance; Valuation (finance); Shareholder; Microeconomics; Profit (economics)","score_opus":0.04115951714903181,"score_gpt":0.24750881686832762,"score_spread":0.20634929971929583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117667731","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":[0.9916536,0.00030053174,0.0012056101,0.004464624,0.0006253328,0.00010307612,0.00008174961,0.000002240486,0.0015632117],"genre_scores_gemma":[0.9968528,0.00041975785,0.00005420522,0.0019149539,0.000670101,0.00000190675,0.0000022806207,0.000009618119,0.00007437083],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894667,0.000006746914,0.00068290345,0.00010965217,0.00015302189,0.00010099179],"domain_scores_gemma":[0.99647033,0.00012074784,0.0026715014,0.00014340933,0.0005863474,0.000007644171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037322543,0.00010406487,0.000251388,0.000058090885,0.000045238245,0.0000486028,0.0005980417,0.000039201197,0.00003072653],"category_scores_gemma":[0.00018771466,0.00007544475,0.00019319876,0.00014137091,0.000102800645,0.0007209019,0.00016097257,0.00016787121,0.000009359196],"study_design_candidate":"not_applicable","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":[0.0018205049,0.0007623649,0.18874213,0.000603144,0.0016395355,0.00056039327,0.0032239084,0.0576147,0.004167034,0.32466075,0.20576191,0.21044365],"study_design_scores_gemma":[0.00390995,0.00028492277,0.36305517,0.0004924633,0.00035174395,0.00035752464,0.00164035,0.019126546,0.008545606,0.02415712,0.5778347,0.0002438678],"about_ca_topic_score_codex":0.00024040802,"about_ca_topic_score_gemma":0.00012535894,"teacher_disagreement_score":0.37207285,"about_ca_system_score_codex":0.00003717095,"about_ca_system_score_gemma":0.00009187224,"threshold_uncertainty_score":0.30765477},"labels":[],"label_agreement":null},{"id":"W3120049482","doi":"10.1002/ijfe.2415","title":"The profitability of pair trading strategy in stock markets: Evidence from Toronto stock exchange","year":2021,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"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":"Statistical arbitrage; Profitability index; Pairs trade; Trading strategy; Speculation; Arbitrage; Financial economics; Economics; Stock exchange; Portfolio; Market maker; Algorithmic trading; Profit (economics); Copula (linguistics); Open outcry; Stock (firearms); Futures contract; Business; Alternative trading system; Stock market; Risk arbitrage; Finance; Microeconomics; Econometrics; Capital asset pricing model; Arbitrage pricing theory","score_opus":0.05460589900787758,"score_gpt":0.2650995225475273,"score_spread":0.2104936235396497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120049482","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":[0.9680423,0.023361407,0.00022319079,0.0013267193,0.001486505,0.00013075733,0.00016828596,0.0000037726238,0.0052570733],"genre_scores_gemma":[0.98289144,0.015772779,0.0006467928,0.00009380223,0.0002866347,0.000012918025,0.000005348065,0.000014680888,0.0002756251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978231,0.000052832307,0.0015339034,0.00028653024,0.00007509774,0.00022849593],"domain_scores_gemma":[0.9976359,0.0004107022,0.0014064378,0.00027411486,0.00022894,0.000043886655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012335203,0.00016110155,0.0004807244,0.00007963308,0.00005866066,0.00013746934,0.0006892005,0.00009373749,0.0002846543],"category_scores_gemma":[0.00048817805,0.00016052624,0.00021386305,0.000081681465,0.00010990046,0.0012627845,0.00008973326,0.00021149038,0.000005828781],"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":[0.0012827002,0.00066994067,0.640205,0.00007424633,0.0004376845,0.00009771242,0.0018821807,0.0015713921,0.00019239634,0.24439156,0.0039061648,0.10528898],"study_design_scores_gemma":[0.001186466,0.00019755188,0.8796602,0.00031860216,0.000008824991,0.000024883828,0.00052071764,0.00565699,0.0006736349,0.08513884,0.026325107,0.00028819646],"about_ca_topic_score_codex":0.0011454313,"about_ca_topic_score_gemma":0.0021222737,"teacher_disagreement_score":0.23945515,"about_ca_system_score_codex":0.00064326,"about_ca_system_score_gemma":0.00023137899,"threshold_uncertainty_score":0.654607},"labels":[],"label_agreement":null},{"id":"W3122461714","doi":"10.1002/ijfe.1505","title":"Shock from Graying: Is the Demographic Shift Weakening Monetary Policy Effectiveness","year":2014,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":33,"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; Unemployment; Inflation (cosmology); Shock (circulatory); Inflation targeting; Monetary economics; Estimation; Macroeconomics; Medicine","score_opus":0.027511788044859656,"score_gpt":0.23334054658952022,"score_spread":0.20582875854466057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122461714","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":[0.981638,0.0012411065,0.0050040456,0.007666569,0.001973904,0.000104656305,0.00027183618,0.000011096924,0.0020887617],"genre_scores_gemma":[0.9931411,0.0015700107,0.0006537724,0.0026024824,0.0019144606,0.000005984153,0.000013968038,0.00003389792,0.00006433828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979674,0.000053565014,0.0012341036,0.00034450245,0.000053952124,0.00034648343],"domain_scores_gemma":[0.9975942,0.00041735824,0.0014675512,0.00037295299,0.00004565896,0.00010230246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012333603,0.00024868775,0.0006065151,0.00048999337,0.0001358706,0.00020634836,0.0011900698,0.00013098295,0.00016417846],"category_scores_gemma":[0.00020655802,0.00024481368,0.0004676441,0.000110205474,0.00012160213,0.0007383251,0.00010548966,0.00038528585,0.00023431862],"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":[0.00059869007,0.00021906401,0.59587836,0.000020426065,0.0014740096,0.000019636895,0.0025187298,0.118631735,0.000040242434,0.25449243,0.0029605941,0.023146098],"study_design_scores_gemma":[0.0018597237,0.00016989483,0.44757834,0.00009119926,0.000026875543,0.00007941879,0.00004359704,0.044033855,0.00030143122,0.38243085,0.12289876,0.00048603993],"about_ca_topic_score_codex":0.0014179744,"about_ca_topic_score_gemma":0.000051613024,"teacher_disagreement_score":0.14829999,"about_ca_system_score_codex":0.000261623,"about_ca_system_score_gemma":0.00005773215,"threshold_uncertainty_score":0.99832124},"labels":[],"label_agreement":null},{"id":"W3123293667","doi":"10.1002/ijfe.212","title":"The potential consequences of alternative exchange rate regimes: A study of three candidate regions","year":2003,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Oesterreichische Nationalbank; Social Sciences and Humanities Research Council of Canada; Wilfrid Laurier University","keywords":"Economics; Counterfactual thinking; Monetary policy; Exchange rate; Inflation (cosmology); Currency; Inflation targeting; Monetary economics; Exchange-rate regime; International economics; Currency union; Monetary hegemony; Macroeconomics","score_opus":0.033729758778976646,"score_gpt":0.26091168143850146,"score_spread":0.2271819226595248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123293667","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":[0.98991615,0.0027275654,0.0005998073,0.00074500317,0.0021011787,0.00015532228,0.00020066497,0.0000022408017,0.0035520957],"genre_scores_gemma":[0.99180305,0.0075776987,0.00015357758,0.00008228794,0.00016688847,0.0000060253465,0.0000013933578,0.000011563822,0.00019753086],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981462,0.000045579378,0.0013691713,0.00017540237,0.00007138595,0.00019226012],"domain_scores_gemma":[0.9964649,0.00011998382,0.002762617,0.00023218417,0.00038010883,0.00004019183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009901614,0.00014442953,0.00049978594,0.00021563697,0.000090472175,0.000062426305,0.00075699243,0.00005513069,0.00003194889],"category_scores_gemma":[0.00026469823,0.00013022733,0.00021456655,0.00011356245,0.00024305812,0.00029231454,0.00005852325,0.00015380504,0.000010004537],"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":[0.000248228,0.00034659458,0.020218574,0.000008430553,0.00050205365,0.000026666106,0.0018104962,0.0065127164,0.000055008426,0.9678173,0.0013260931,0.0011278287],"study_design_scores_gemma":[0.005805333,0.0021305862,0.074275315,0.00022327517,0.00008763021,0.00025039524,0.0038539509,0.0008914678,0.0037868712,0.6630945,0.24490152,0.0006991222],"about_ca_topic_score_codex":0.0010484051,"about_ca_topic_score_gemma":0.00059220433,"teacher_disagreement_score":0.3047228,"about_ca_system_score_codex":0.000119658944,"about_ca_system_score_gemma":0.00012340207,"threshold_uncertainty_score":0.53105164},"labels":[],"label_agreement":null},{"id":"W3124402133","doi":"10.1002/ijfe.342","title":"Policy words and policy deeds: the ECB and the euro","year":2007,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Alexander von Humboldt-Stiftung","keywords":"Economics; Monetary policy; Proxy (statistics); Exchange rate; Endogeneity; Interest rate; Monetary economics; Econometrics; Statistics","score_opus":0.03070664028756208,"score_gpt":0.2538946013121775,"score_spread":0.2231879610246154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124402133","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":[0.95127743,0.0024171788,0.00094248174,0.037506,0.00080238737,0.000106449,0.000096374315,0.0000047643853,0.0068469397],"genre_scores_gemma":[0.98297447,0.009525142,0.00032063472,0.0046895267,0.0020068765,0.0000019156862,0.0000018296171,0.000017955597,0.00046166603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99845713,0.000018537023,0.0010127091,0.0001891621,0.000033385993,0.00028909167],"domain_scores_gemma":[0.9982737,0.00034033888,0.0010565049,0.00020928419,0.00003533695,0.00008484536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020113448,0.00016073996,0.0003747857,0.0004101984,0.00013242199,0.0002087818,0.0006145952,0.000072533054,0.00002869512],"category_scores_gemma":[0.00039885112,0.00012297035,0.00015211343,0.00009197535,0.00036769212,0.00046810022,0.00012878272,0.00027544846,0.000036699912],"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":[0.00054999423,0.00003531604,0.013432265,0.0000043957557,0.00023817529,0.00001102045,0.0026954073,0.0019608783,0.0000020897935,0.95867115,0.00085789507,0.021541385],"study_design_scores_gemma":[0.0058540083,0.0001978275,0.1210682,0.00004493019,0.000025113099,0.0014763821,0.00049763336,0.010847781,0.00008913438,0.5216805,0.3377418,0.0004767387],"about_ca_topic_score_codex":0.00062811305,"about_ca_topic_score_gemma":0.00008164617,"teacher_disagreement_score":0.4369907,"about_ca_system_score_codex":0.00019224285,"about_ca_system_score_gemma":0.000073043775,"threshold_uncertainty_score":0.5014585},"labels":[],"label_agreement":null},{"id":"W3125648992","doi":"10.1002/ijfe.2527","title":"Credit supply, house prices, and financial stability","year":2021,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Economics; Recession; Bank credit; Monetary economics; Financial crisis; Financial stability; Shadow (psychology); Financial system; Monetary policy; Credit crunch; Finance; Macroeconomics","score_opus":0.021476216467491618,"score_gpt":0.21416716392173127,"score_spread":0.19269094745423965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125648992","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":[0.9828094,0.001431409,0.0010300111,0.0019294259,0.0036046172,0.000057137317,0.0001602548,0.000015377045,0.008962361],"genre_scores_gemma":[0.98159957,0.012170884,0.00459073,0.0005205896,0.0009495958,0.0000028773297,0.00000856841,0.000034925277,0.00012226717],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814075,0.000013854147,0.0012127555,0.00034438487,0.00004097651,0.00024729013],"domain_scores_gemma":[0.99826795,0.00010215555,0.0010549014,0.0002397487,0.00023732445,0.00009792938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659386,0.00017181171,0.0005239736,0.00019875809,0.00006818272,0.00022666987,0.0004452826,0.00013128293,0.0003140075],"category_scores_gemma":[0.00042565685,0.00022552624,0.00020110705,0.000076813885,0.00010223979,0.0007674841,0.00015047633,0.0002677847,0.00007784742],"study_design_candidate":"not_applicable","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":[0.0006519471,0.00084753695,0.46039107,0.000068973,0.00046239258,0.00033747303,0.0022319485,0.0020681922,0.00019315013,0.44455543,0.008278846,0.07991302],"study_design_scores_gemma":[0.0031008967,0.00018362356,0.14833534,0.000088534376,0.000023672063,0.0007005877,0.00017625872,0.002781444,0.0017651983,0.14383431,0.6982492,0.00076092524],"about_ca_topic_score_codex":0.000034659068,"about_ca_topic_score_gemma":0.000093809555,"teacher_disagreement_score":0.6899704,"about_ca_system_score_codex":0.00032287533,"about_ca_system_score_gemma":0.00025238981,"threshold_uncertainty_score":0.91966933},"labels":[],"label_agreement":null},{"id":"W3140098814","doi":"10.1002/ijfe.2554","title":"Responses to global financial standards in emerging markets: Regulatory neoliberalism and the Basel<scp>II</scp>Capital Accord","year":2021,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Regulation and Crises","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Economics; Financial regulation; Basel II; Harmonization; Capital requirement; Financial crisis; Basel I; Context (archaeology); Emerging markets; Basel III; Financial market; Financial system; Liberalization; Capital (architecture); Bank regulation; International economics; Finance; Market economy; Macroeconomics; Incentive","score_opus":0.01044480435022502,"score_gpt":0.24568415724043463,"score_spread":0.2352393528902096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140098814","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":[0.97973907,0.003666255,0.00063012686,0.009768935,0.0021150885,0.000115199524,0.0005833425,0.000007459895,0.0033744979],"genre_scores_gemma":[0.9921965,0.0026602705,0.0011660901,0.0026776898,0.0004407946,0.000008359153,0.0000062003696,0.00001664793,0.0008274261],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99793327,0.0000550245,0.0012444141,0.0003354364,0.00013669132,0.00029517326],"domain_scores_gemma":[0.99830097,0.00019351611,0.0007787248,0.00022283514,0.00040421553,0.000099733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014817483,0.00019869665,0.0005409403,0.00024217778,0.00012110784,0.00019195834,0.00051564723,0.00011497368,0.000043474876],"category_scores_gemma":[0.0024189341,0.00020961123,0.00022643605,0.00024492643,0.0001394889,0.0005429666,0.00024264415,0.0002218062,0.000017069662],"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":[0.0008078232,0.00011665726,0.048397165,0.000008291156,0.00008968764,0.00013916002,0.0012946626,0.0020792717,0.000008985719,0.9244445,0.008850199,0.013763609],"study_design_scores_gemma":[0.0030215057,0.00007135678,0.4665869,0.000088819965,0.000008445813,0.00021185195,0.00026426834,0.0004462781,0.00013176289,0.1395965,0.3894223,0.00015004097],"about_ca_topic_score_codex":0.000070830385,"about_ca_topic_score_gemma":0.00020883512,"teacher_disagreement_score":0.784848,"about_ca_system_score_codex":0.00064416527,"about_ca_system_score_gemma":0.00045517713,"threshold_uncertainty_score":0.8547698},"labels":[],"label_agreement":null},{"id":"W4210424450","doi":"10.1002/ijfe.2583","title":"Between financial and algorithmic dynamics of cryptocurrencies: An exploratory study","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Blockchain Technology Applications and Security","field":"Computer Science","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":"University of the Fraser Valley","funders":"","keywords":"Cryptocurrency; Portfolio; Economics; Store of value; Value (mathematics); Market liquidity; Computer science; Financial economics; Finance; Monetary economics; Currency; Computer security","score_opus":0.014254760797381388,"score_gpt":0.25107281419642025,"score_spread":0.23681805339903886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210424450","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":[0.94503653,0.00012366811,0.053379614,0.0008209188,0.00045810692,0.00009577281,0.000055570814,0.000010808983,0.000019008414],"genre_scores_gemma":[0.9924062,0.000110602836,0.007292865,0.0000637544,0.00009787401,0.000016718019,0.000003056856,0.000004666881,0.0000042618944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904954,0.000043059812,0.000492445,0.00017598963,0.00014355574,0.00009542881],"domain_scores_gemma":[0.99889016,0.000050711806,0.00059724087,0.00023187544,0.00019853552,0.00003150087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005728942,0.00008089861,0.00020750235,0.00023149971,0.00010141099,0.00003383242,0.0014806502,0.00003614804,0.000005432699],"category_scores_gemma":[0.00002437797,0.00009418389,0.000049736973,0.00011389591,0.00007144804,0.00040988784,0.00044520068,0.00028347078,5.3867086e-7],"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":[0.000052884992,0.0012185789,0.0533909,0.000005895863,0.00015130515,0.000042697917,0.0060183406,0.0032303424,0.000030915387,0.5004141,0.00025692035,0.43518716],"study_design_scores_gemma":[0.0059930724,0.005654903,0.18073337,0.00005121598,0.00007619174,0.0006304762,0.007261314,0.26116842,0.00088583137,0.50163317,0.034826234,0.0010858031],"about_ca_topic_score_codex":0.000007836788,"about_ca_topic_score_gemma":0.0000395486,"teacher_disagreement_score":0.43410134,"about_ca_system_score_codex":0.00016636643,"about_ca_system_score_gemma":0.00021221575,"threshold_uncertainty_score":0.38407075},"labels":[],"label_agreement":null},{"id":"W4210565278","doi":"10.1002/ijfe.2594","title":"Debt‐to‐GDP changes and the great recession: European Periphery versus European Core","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":7,"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; Debt; Gross domestic product; Recession; Real gross domestic product; Inflation (cosmology); Debt-to-GDP ratio; International economics; Monetary economics; External debt; Macroeconomics","score_opus":0.041751281156247745,"score_gpt":0.24384378312028346,"score_spread":0.20209250196403572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210565278","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":[0.8025135,0.0016718925,0.00017262825,0.04351353,0.005321993,0.00015251344,0.00039691073,0.000012042538,0.14624502],"genre_scores_gemma":[0.989931,0.0013947281,0.00034643745,0.005514203,0.0012697224,0.00000807435,0.000007450355,0.00003707583,0.0014913211],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99864906,0.00006950828,0.00075581094,0.00023312625,0.000051066858,0.00024144698],"domain_scores_gemma":[0.9987448,0.00016120831,0.0007135823,0.0002044627,0.000065439155,0.00011050084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012717267,0.00015043917,0.0003580374,0.00018145319,0.00020827113,0.00014782161,0.00087796635,0.000022078097,0.0004739739],"category_scores_gemma":[0.0001517945,0.00014196488,0.00015829387,0.00007232188,0.00015804419,0.00018872689,0.0004505009,0.0003198209,0.0001441131],"study_design_candidate":"not_applicable","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":[0.001382513,0.00007789307,0.0042739627,0.0000073186216,0.00024078821,0.000070151465,0.0018291645,0.0037785023,0.0000037474326,0.915105,0.018782629,0.054448318],"study_design_scores_gemma":[0.003061974,0.00026900516,0.011256641,0.000016701693,0.000009122821,0.00014665068,0.00024253032,0.0009999921,0.0000054934385,0.01609411,0.96767974,0.00021801582],"about_ca_topic_score_codex":0.0000990481,"about_ca_topic_score_gemma":0.000042793014,"teacher_disagreement_score":0.9488971,"about_ca_system_score_codex":0.00024823242,"about_ca_system_score_gemma":0.0000286091,"threshold_uncertainty_score":0.57891595},"labels":[],"label_agreement":null},{"id":"W4223551161","doi":"10.1002/ijfe.2616","title":"Is the Fisher effect asymmetric? Cointegration analysis and expectations measurement","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cointegration; Economics; Inflation (cosmology); Econometrics; Fisher hypothesis; Bootstrapping (finance); Real interest rate; Asymmetry; Interest rate; Macroeconomics; Physics","score_opus":0.04880100607870017,"score_gpt":0.2402231672505203,"score_spread":0.19142216117182012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223551161","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":[0.98437977,0.001816405,0.0032741977,0.0066084764,0.0013040343,0.00013289702,0.00026939096,0.000005437229,0.0022093828],"genre_scores_gemma":[0.9976002,0.0005331118,0.00035507177,0.0010294529,0.00021670437,0.000018255643,0.000012304915,0.000012129985,0.0002227505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861294,0.000041863015,0.00088228384,0.00021632577,0.00008407848,0.00016251393],"domain_scores_gemma":[0.9984746,0.00012439041,0.001100616,0.000192475,0.00006122334,0.0000467026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013848295,0.00013278915,0.00039656556,0.00070746127,0.00019800018,0.00015430053,0.00050459395,0.00003327275,0.00038244785],"category_scores_gemma":[0.00013516191,0.00012860128,0.00033914082,0.00023791681,0.000051580573,0.00037800326,0.00008699203,0.0002515245,0.00003322796],"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":[0.0007810787,0.00048825092,0.58245754,0.000017598757,0.009553653,0.000066481494,0.010222488,0.22328001,0.000035206067,0.09801747,0.036438294,0.038641926],"study_design_scores_gemma":[0.004312356,0.0011579843,0.48831588,0.000022813618,0.00048847223,0.00039203875,0.0011533188,0.11491072,0.0005689798,0.057369627,0.33036658,0.00094121497],"about_ca_topic_score_codex":0.00027896927,"about_ca_topic_score_gemma":0.00007249489,"teacher_disagreement_score":0.2939283,"about_ca_system_score_codex":0.00053991505,"about_ca_system_score_gemma":0.000033989072,"threshold_uncertainty_score":0.5244208},"labels":[],"label_agreement":null},{"id":"W4225273832","doi":"10.1002/ijfe.2624","title":"Is there J‐curve effect in the US Service Trade? Evidence from asymmetric analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":12,"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; Depreciation (economics); Balance of trade; Service (business); Econometrics; International economics; Economy; Microeconomics","score_opus":0.02610363470113691,"score_gpt":0.24703693301164595,"score_spread":0.22093329831050904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225273832","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":[0.98275095,0.0056699025,0.0006874767,0.007110208,0.0014201271,0.00016149542,0.00041679514,0.000004244999,0.0017787694],"genre_scores_gemma":[0.9914311,0.0042975876,0.00019411548,0.0036733376,0.00028998186,0.000030554456,0.000014678141,0.000015613952,0.00005303356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980328,0.00008291462,0.0011687835,0.0003314708,0.00014848665,0.00023554328],"domain_scores_gemma":[0.99781865,0.00033400438,0.0014209669,0.00033528148,0.00006298102,0.000028137194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020561602,0.00017754998,0.0005712117,0.00091827183,0.00012069439,0.00014676357,0.0017945999,0.000055401248,0.00035112447],"category_scores_gemma":[0.00011650375,0.00017742488,0.00044776697,0.0011352126,0.000027764083,0.0005705998,0.00015808255,0.00047615232,0.00007472445],"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":[0.00028192083,0.0002049659,0.90972054,0.0000075515636,0.0008293425,0.000109506545,0.0023516114,0.057549432,0.0000017539783,0.015996054,0.0015394962,0.011407825],"study_design_scores_gemma":[0.00087574415,0.0001918591,0.90453345,0.000025657266,0.00007035872,0.000012290414,0.00015550216,0.008120902,0.000028789855,0.014148074,0.07160579,0.0002315655],"about_ca_topic_score_codex":0.0015139696,"about_ca_topic_score_gemma":0.00041689933,"teacher_disagreement_score":0.070066296,"about_ca_system_score_codex":0.00052278297,"about_ca_system_score_gemma":0.00005304879,"threshold_uncertainty_score":0.7235177},"labels":[],"label_agreement":null},{"id":"W4231893723","doi":"10.1002/(sici)1099-1158(200002)5:1<15::aid-ijfe114>3.3.co;2-f","title":"Inflation targets and the yield curve: New Zealand and Australia versus the US","year":2000,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"New Zealand Economic and Social Studies","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":"Wilfrid Laurier University","funders":"","keywords":"Economics; Inflation (cosmology); Yield curve; Yield (engineering); Econometrics; Monetary policy; Monetary economics; Deflation; Order (exchange); Real interest rate; Macroeconomics; Interest rate","score_opus":0.03638897400431999,"score_gpt":0.24841322487025672,"score_spread":0.21202425086593674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231893723","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":[0.9805392,0.0020596602,0.00002428654,0.012431568,0.0011888976,0.000079205645,0.000031594052,0.000002901707,0.003642662],"genre_scores_gemma":[0.9747366,0.01925529,0.000091132635,0.00039678195,0.000772202,0.000002663037,0.0000017650375,0.000008129544,0.004735462],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910736,0.000010678804,0.0005844938,0.0001368332,0.00002488414,0.00013576451],"domain_scores_gemma":[0.9991497,0.00018045788,0.00050645845,0.0000881618,0.000033866654,0.000041358624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005023233,0.00010557046,0.00028238358,0.000050011127,0.00012972295,0.0001490819,0.00026676233,0.000056693425,0.0002538651],"category_scores_gemma":[0.00007298746,0.00008035655,0.00009244049,0.000027367729,0.00017377302,0.0003254096,0.00004096106,0.00016927728,0.000051224884],"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":[0.0030123873,0.00006416864,0.3901371,0.0000064926403,0.0011728235,0.000011819226,0.0074945786,0.0048646717,0.0000015342107,0.48211977,0.04284472,0.06826993],"study_design_scores_gemma":[0.004249978,0.00007716932,0.28552708,0.000016475913,0.000018609604,0.000041944368,0.00009576346,0.0006425901,0.000006033729,0.08356395,0.62558603,0.00017433702],"about_ca_topic_score_codex":0.0008210504,"about_ca_topic_score_gemma":0.00031134198,"teacher_disagreement_score":0.5827413,"about_ca_system_score_codex":0.00007264204,"about_ca_system_score_gemma":0.000024344441,"threshold_uncertainty_score":0.32768452},"labels":[],"label_agreement":null},{"id":"W4280617789","doi":"10.1002/ijfe.2636","title":"The moderating effects of <scp>CEO</scp> power and personal traits on say‐on‐pay effectiveness: Insights from the <scp>Anglo‐Saxon</scp> economies","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":11,"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":"Corporate governance; Shareholder; Corporation; Power (physics); Incentive; Business; Executive compensation; Explanatory power; Distribution (mathematics); Economics; Accounting; Microeconomics; Finance","score_opus":0.007984264364859505,"score_gpt":0.1934399242496247,"score_spread":0.1854556598847652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280617789","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":[0.99440145,0.00091091235,0.000095405885,0.0008403585,0.0019496961,0.00021098067,0.00006660341,0.000008280158,0.0015163233],"genre_scores_gemma":[0.9963193,0.00047462602,0.0000329233,0.0018639333,0.0010563509,0.00002956093,0.000006763684,0.000027474622,0.00018909333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986283,0.00005277625,0.0005496224,0.00027867412,0.00027484228,0.00021573805],"domain_scores_gemma":[0.9954127,0.0026303497,0.0015769384,0.0001532201,0.0002119924,0.000014801335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004787077,0.00023841986,0.00035220728,0.00012248383,0.0004428733,0.0003168096,0.0007400759,0.00005153776,0.000006197654],"category_scores_gemma":[0.0005070376,0.00016498897,0.00020464022,0.00010234541,0.00011828864,0.00080787326,0.00019719935,0.00045368908,0.000015856123],"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":[0.00123186,0.0014677015,0.19852443,0.00023010054,0.0024705005,0.0004523934,0.0070778187,0.20162332,0.0026334273,0.4586514,0.048141085,0.07749596],"study_design_scores_gemma":[0.002540109,0.00028013,0.7587276,0.00034331798,0.00005655544,0.000029990697,0.00070815923,0.008826166,0.0008115149,0.021886101,0.20568307,0.000107290856],"about_ca_topic_score_codex":0.00008869971,"about_ca_topic_score_gemma":0.00007982151,"teacher_disagreement_score":0.5602032,"about_ca_system_score_codex":0.00018408259,"about_ca_system_score_gemma":0.00011100619,"threshold_uncertainty_score":0.67280555},"labels":[],"label_agreement":null},{"id":"W4282554999","doi":"10.1002/ijfe.2654","title":"Foreign exchange market asymmetries in Pacific small island developing states: Evidence from Fiji","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":6,"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; Exchange rate; External debt; International economics; Financial crisis; Monetary economics; Current account; Foreign exchange market; Financial market; Foreign-exchange reserves; Population; Currency; Debt; Macroeconomics; Finance","score_opus":0.04091197250225937,"score_gpt":0.24015913378158582,"score_spread":0.19924716127932646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282554999","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":[0.97723395,0.008075365,0.0018307882,0.0025916991,0.0022795585,0.00011367766,0.0013071467,0.0000066333455,0.006561162],"genre_scores_gemma":[0.9817511,0.014692949,0.001936299,0.00069346704,0.00037744408,0.000019001285,0.000025191273,0.000022424942,0.000482131],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99801576,0.000035516114,0.001289188,0.00028787524,0.000080016296,0.00029165266],"domain_scores_gemma":[0.99815196,0.00023411273,0.0012668314,0.00018034324,0.000120969344,0.00004577165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010630797,0.00017986241,0.0005119413,0.0005643072,0.000102970465,0.00015056576,0.0009188114,0.000061606326,0.0006142212],"category_scores_gemma":[0.00023804732,0.00022665877,0.00018536023,0.0002229832,0.000049786162,0.0005516105,0.00025087132,0.00031948375,0.0000372208],"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":[0.0009246103,0.00024877817,0.6243937,0.000032282824,0.00030245286,0.00021600182,0.006506378,0.017511964,0.000007201906,0.2972571,0.036847368,0.015752135],"study_design_scores_gemma":[0.0011677588,0.00020578044,0.15433761,0.00014677871,0.0000068828513,0.00006368117,0.0011456937,0.0026768309,0.00007441129,0.16257934,0.67714334,0.0004519048],"about_ca_topic_score_codex":0.0010759269,"about_ca_topic_score_gemma":0.0006200886,"teacher_disagreement_score":0.640296,"about_ca_system_score_codex":0.0008642686,"about_ca_system_score_gemma":0.00014130432,"threshold_uncertainty_score":0.9242876},"labels":[],"label_agreement":null},{"id":"W4284894801","doi":"10.1002/ijfe.2668","title":"Asset allocation, limited participation and <scp>flight‐to‐quality</scp> under ambiguity of correlation","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","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":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Diversification (marketing strategy); Economics; Ambiguity; Microeconomics; Quality (philosophy); Asset (computer security); Risk aversion (psychology); Asset allocation; Econometrics; Financial economics; Expected utility hypothesis; Business; Computer science; Marketing; Physics","score_opus":0.04594275601413126,"score_gpt":0.27295291172974023,"score_spread":0.22701015571560898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284894801","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":[0.9886014,0.00041510223,0.0033320966,0.0016470021,0.0014990607,0.00011764591,0.00023374952,0.000005959438,0.0041480227],"genre_scores_gemma":[0.9974157,0.0006644966,0.00078184373,0.0006653194,0.00014538216,0.000022568553,0.000026888925,0.000014149618,0.00026364505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982536,0.000037436523,0.0012583522,0.00021087463,0.00008726661,0.00015246098],"domain_scores_gemma":[0.99767846,0.00017964198,0.0017307801,0.00014308521,0.0002119429,0.000056117213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009963699,0.000118704585,0.00035515655,0.0003670234,0.00009886395,0.00007671631,0.00036504277,0.000052570213,0.00006719692],"category_scores_gemma":[0.00045509762,0.00015102938,0.00010331195,0.00014755588,0.00005833151,0.000550136,0.000115462026,0.00017693535,0.000013521112],"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":[0.00006844633,0.00016262433,0.060333095,0.000009144951,0.000111609814,0.000002119887,0.00064394687,0.05741024,0.000076757104,0.8769559,0.0022201687,0.0020059298],"study_design_scores_gemma":[0.00088138087,0.000323554,0.7760305,0.000025584686,0.000014287825,0.000017221011,0.00032344516,0.0060188323,0.00042802203,0.13229524,0.08350506,0.00013690021],"about_ca_topic_score_codex":0.00011100544,"about_ca_topic_score_gemma":0.000028585395,"teacher_disagreement_score":0.7446607,"about_ca_system_score_codex":0.00033853346,"about_ca_system_score_gemma":0.00011261109,"threshold_uncertainty_score":0.61587995},"labels":[],"label_agreement":null},{"id":"W4285796879","doi":"10.1002/ijfe.2670","title":"The finance–growth nexus in the Middle East and Africa: A comparative m<scp>eta‐analysis</scp>","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"Zengin Foundation For Studies On Economics And Finance; Nomura Foundation; Japan Center for Economic Research; Cape Breton University","keywords":"Nexus (standard); Middle East; Extant taxon; Economics; Liberalization; Development economics; International economics; Economic geography; Geography","score_opus":0.04294790036591787,"score_gpt":0.2279445787187542,"score_spread":0.18499667835283634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285796879","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":[0.9854726,0.0014674275,0.00008067913,0.003147659,0.0006649014,0.00008765483,0.0000111387935,0.0000038732287,0.009064041],"genre_scores_gemma":[0.9976238,0.0007800752,0.00004836761,0.00070329785,0.00051415444,0.000020528834,0.0000039349175,0.000006633108,0.00029918939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892044,0.00002402168,0.0005069858,0.0001502748,0.00020489568,0.00019340577],"domain_scores_gemma":[0.99855715,0.00028021343,0.00084292085,0.000111483736,0.00020639293,0.0000018542574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008836879,0.00012668563,0.00027809897,0.00025285655,0.0003903473,0.00029130324,0.0008220297,0.000019254327,0.0000052370037],"category_scores_gemma":[0.00010196873,0.00008984106,0.00015427763,0.0003575885,0.00011001263,0.0005354397,0.00024208319,0.0002961624,0.000008249868],"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":[0.00020883318,0.00040096533,0.048814893,0.000019211715,0.0016379469,0.0001692599,0.019023193,0.06291154,0.00000931235,0.82300615,0.035640184,0.008158523],"study_design_scores_gemma":[0.0017595909,0.00008644383,0.20641162,0.000062631145,0.00036661528,0.000089000474,0.016233899,0.030460639,0.0000072573403,0.10704831,0.63725823,0.0002157798],"about_ca_topic_score_codex":0.00006946639,"about_ca_topic_score_gemma":0.00021613398,"teacher_disagreement_score":0.7159578,"about_ca_system_score_codex":0.000089279216,"about_ca_system_score_gemma":0.00004171062,"threshold_uncertainty_score":0.3663612},"labels":[],"label_agreement":null},{"id":"W4293261878","doi":"10.1002/ijfe.2686","title":"Joint calibration of S&amp;P 500 and VIX options under local stochastic volatility models","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Affine transformation; SABR volatility model; Stochastic volatility; Econometrics; Volatility (finance); Volatility smile; Valuation of options; Mathematics; Mean squared error; Implied volatility; Economics; Statistics","score_opus":0.04718007723324,"score_gpt":0.2412815290073046,"score_spread":0.1941014517740646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293261878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22659054,0.0009566636,0.77020776,0.0009773058,0.00050253834,0.00009043302,0.00045619998,0.0000045718543,0.00021395455],"genre_scores_gemma":[0.99490535,0.00027389583,0.0043991953,0.00016739102,0.00013199834,0.000025218915,0.00001858908,0.000014826175,0.00006353856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984939,0.0000066663556,0.0010796604,0.00021884736,0.00006739269,0.00013353619],"domain_scores_gemma":[0.99832404,0.000059638136,0.001241361,0.00015908685,0.00016572936,0.000050170398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041891023,0.00011334368,0.0003618098,0.00025981627,0.00011811694,0.00003864044,0.0003540507,0.00004894551,0.00008960749],"category_scores_gemma":[0.000051105395,0.00014604571,0.00012922224,0.00010857999,0.00011318638,0.00043996508,0.00014808739,0.00022131277,0.000004514629],"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":[0.000053996966,0.00012420499,0.0001605211,0.00000432573,0.000048514692,6.157511e-7,0.00020093135,0.2542783,0.000017931161,0.74365187,0.000054980257,0.0014037918],"study_design_scores_gemma":[0.00054204796,0.00010615656,0.0023901,0.00001194141,0.000009659263,0.000069982416,0.0001228591,0.24055827,0.00002078709,0.7540562,0.001970681,0.00014129774],"about_ca_topic_score_codex":0.000104341554,"about_ca_topic_score_gemma":0.000027192824,"teacher_disagreement_score":0.7683148,"about_ca_system_score_codex":0.0002749542,"about_ca_system_score_gemma":0.00012833533,"threshold_uncertainty_score":0.59555715},"labels":[],"label_agreement":null},{"id":"W4300819823","doi":"10.1002/ijfe.1530","title":"Issue Information - Info Page","year":2016,"lang":"en","type":"paratext","venue":"International Journal of Finance & Economics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"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":"Citation; Computer science; Information retrieval; World Wide Web; Library science","score_opus":0.02096081356725345,"score_gpt":0.2259128188777287,"score_spread":0.20495200531047525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300819823","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028698386,0.0028300588,0.0011769182,0.0019663274,0.09621885,0.00015815017,0.0063097193,0.000009041506,0.8884611],"genre_scores_gemma":[0.009439698,0.046810433,0.0008866914,0.0014925378,0.004730875,0.000014560846,0.0001426116,0.00004898222,0.9364336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969947,0.000009542363,0.0022816574,0.0003089315,0.00007478403,0.0003304334],"domain_scores_gemma":[0.99470097,0.00007264588,0.004462343,0.0003209966,0.00035751116,0.00008555682],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073437276,0.00031923022,0.00092857477,0.00085816527,0.000078729245,0.00037439872,0.0013882448,0.0002776951,0.030470863],"category_scores_gemma":[0.00015002622,0.00033568367,0.00046404824,0.00006939822,0.00015436235,0.002284971,0.00024597303,0.0003279257,0.22073834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006261405,0.000032649157,0.0001449218,0.000017470464,0.00041716718,0.000004717053,0.00038891553,0.00047827,5.989671e-7,0.026259873,0.96586114,0.006331672],"study_design_scores_gemma":[0.00096041925,0.00005241474,0.00012949931,0.00012770318,0.0000103555385,0.00002954385,0.00009080512,0.00009004171,0.000027461203,0.00386153,0.99425524,0.00036497138],"about_ca_topic_score_codex":0.000053805812,"about_ca_topic_score_gemma":0.000004933824,"teacher_disagreement_score":0.19026747,"about_ca_system_score_codex":0.0008782316,"about_ca_system_score_gemma":0.00018345876,"threshold_uncertainty_score":0.9999095},"labels":[],"label_agreement":null},{"id":"W4307122350","doi":"10.1002/ijfe.2715","title":"The oil price plummeted in 2014–2015: Is there an effect on Chinese firms' labour investment?","year":2022,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","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":"University of Northern British Columbia","funders":"National Natural Science Foundation of China","keywords":"Oil price; Economics; Investment (military); China; Competition (biology); Government (linguistics); Monetary economics; Labour economics; Petroleum industry; Market economy","score_opus":0.00980281422648971,"score_gpt":0.24235092666961564,"score_spread":0.23254811244312593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307122350","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":[0.9869262,0.0014306521,0.000030179031,0.003456645,0.0020559144,0.000084579406,0.00038718732,0.000005275083,0.005623376],"genre_scores_gemma":[0.99478716,0.0022038356,0.00011410683,0.001390887,0.00021816732,0.000022668131,0.000012657246,0.00002414549,0.0012263942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982851,0.00008111666,0.0010087711,0.00029472815,0.00009067416,0.0002396032],"domain_scores_gemma":[0.99805725,0.00023421616,0.0012338484,0.00033336776,0.00007811791,0.000063230305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022747028,0.00018211718,0.00038567395,0.00027723395,0.00016863288,0.00014946448,0.0011051529,0.000058027315,0.00038503538],"category_scores_gemma":[0.00014499866,0.00016607631,0.00019441501,0.00013690768,0.00004259425,0.0003775349,0.00015859774,0.0005040956,0.000027787155],"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":[0.0012849143,0.0005818669,0.8534608,0.000015593358,0.00028742972,0.00005634758,0.00078649,0.0053006737,0.000008952193,0.11344627,0.0032035313,0.021567123],"study_design_scores_gemma":[0.0030024964,0.0010318292,0.40996748,0.000034590677,0.000005649286,0.00006515082,0.00009788214,0.11715277,0.000017285993,0.10743653,0.36075494,0.0004333853],"about_ca_topic_score_codex":0.00018273655,"about_ca_topic_score_gemma":0.00015158497,"teacher_disagreement_score":0.4434933,"about_ca_system_score_codex":0.0006602188,"about_ca_system_score_gemma":0.0000839852,"threshold_uncertainty_score":0.67723954},"labels":[],"label_agreement":null},{"id":"W4313655731","doi":"10.1002/ijfe.2772","title":"How the effective reproductive number impacts global stock markets","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"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); Pandemic; Stock market index; China; Economics; Coronavirus disease 2019 (COVID-19); Volatility (finance); Emerging markets; Stock market; Index (typography); Geography; Financial economics; Macroeconomics","score_opus":0.029120237927146988,"score_gpt":0.2849020491543475,"score_spread":0.25578181122720056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313655731","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":[0.96520257,0.0005225926,0.0008886202,0.023726547,0.0046272376,0.0002626833,0.00029543284,0.000026614334,0.00444771],"genre_scores_gemma":[0.99548644,0.0012377049,0.00021369975,0.0009226301,0.0012493212,0.0000137686175,0.0000072763473,0.000025882051,0.0008432508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835956,0.000037529877,0.00078657136,0.00037783518,0.000091057605,0.0003474421],"domain_scores_gemma":[0.99745435,0.00031828915,0.0015608144,0.00037742607,0.00020081416,0.00008830132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016401864,0.00020855066,0.0004499338,0.00020334138,0.00009102886,0.00028923177,0.00097149046,0.00010833801,0.00005291694],"category_scores_gemma":[0.0018824876,0.00019753708,0.00030838494,0.00030324925,0.000118431766,0.0009673007,0.00017529976,0.00032874764,0.0004399027],"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":[0.0011872852,0.0002425642,0.64461255,0.000028683873,0.0017514,0.00023678751,0.0018712747,0.0068070246,0.00004559538,0.22178066,0.064715415,0.056720793],"study_design_scores_gemma":[0.0014889626,0.000104848994,0.6390189,0.000060030157,0.000015418062,0.00038318976,0.00012924285,0.0018403839,0.00016599189,0.12934846,0.22711709,0.0003274873],"about_ca_topic_score_codex":0.000081365855,"about_ca_topic_score_gemma":0.000028022914,"teacher_disagreement_score":0.16240168,"about_ca_system_score_codex":0.0012699433,"about_ca_system_score_gemma":0.00018423582,"threshold_uncertainty_score":0.8055329},"labels":[],"label_agreement":null},{"id":"W4317628581","doi":"10.1002/ijfe.2782","title":"Mobile and internet usage, institutions and the trade balance: Evidence from African countries","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Development","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"Đại học Kinh tế Thành phố Hồ Chí Minh","keywords":"The Internet; Balance of trade; Balance (ability); Panel data; Economics; International economics; Business; International trade; Computer science","score_opus":0.022611751358796128,"score_gpt":0.25068733638951574,"score_spread":0.22807558503071962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317628581","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":[0.97914773,0.002001299,0.010057953,0.0070830737,0.001300747,0.00007786334,0.000019504194,0.000014014082,0.0002978375],"genre_scores_gemma":[0.980684,0.01534992,0.0031758696,0.00055670744,0.00013436786,0.000009220973,0.0000012333741,0.0000031264763,0.00008559853],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992613,0.00002100955,0.0003744914,0.00015666761,0.000077754106,0.000108747336],"domain_scores_gemma":[0.9991876,0.00031458717,0.0002870984,0.00011342367,0.000052718016,0.000044593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044811727,0.00008069003,0.00016602498,0.00010069873,0.000055978882,0.000267841,0.0007314032,0.00002747961,0.0000052541973],"category_scores_gemma":[0.00007095807,0.00006450543,0.00004135167,0.000055108423,0.00019407575,0.00083362777,0.00021827892,0.00011304684,0.000013915833],"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":[0.00047542845,0.000061318264,0.09070652,0.000015390344,0.00045406577,0.00014169434,0.021751551,0.006235337,0.000043902262,0.7748907,0.012312483,0.09291157],"study_design_scores_gemma":[0.005293814,0.0002512825,0.36735764,0.0004955606,0.00003201015,0.00064981397,0.0005479238,0.14366436,0.00086135295,0.11098841,0.36928284,0.00057500385],"about_ca_topic_score_codex":0.000043192933,"about_ca_topic_score_gemma":0.000028043854,"teacher_disagreement_score":0.66390234,"about_ca_system_score_codex":0.00008773582,"about_ca_system_score_gemma":0.00019212441,"threshold_uncertainty_score":0.26304552},"labels":[],"label_agreement":null},{"id":"W4384299510","doi":"10.1002/ijfe.2834","title":"Making sense of uncertainty: An application to the Scandinavian banking sector","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Market Dynamics and Volatility","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":"Trinity College","funders":"Fundação para a Ciência e a Tecnologia; Linköpings Universitet","keywords":"Spillover effect; Economics; Geopolitics; Contrast (vision); Financial crisis; Financial system; Monetary economics; International economics; Financial economics; Macroeconomics; Political science","score_opus":0.04004287453875366,"score_gpt":0.28166655440288835,"score_spread":0.2416236798641347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384299510","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":[0.9857807,0.000084017025,0.008776164,0.0018134385,0.0011939,0.00012788424,0.00023306579,0.0000092216405,0.0019815764],"genre_scores_gemma":[0.9983122,0.0002645567,0.00063716056,0.0002827384,0.0003855447,0.0000069425896,0.00001461543,0.00001663477,0.00007960779],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863845,0.00001699452,0.0009116892,0.00020922982,0.00005624546,0.00016741073],"domain_scores_gemma":[0.9983468,0.00008759359,0.0010778771,0.00026700582,0.00017771033,0.000043012777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013209528,0.000105661165,0.00028913797,0.0003315293,0.00006116752,0.00007771879,0.0005793878,0.000056484427,0.000075276526],"category_scores_gemma":[0.000111532965,0.00010672252,0.00014400281,0.00020098164,0.000036777838,0.00027158996,0.000086797816,0.00014655812,0.00003219856],"study_design_candidate":"simulation_or_modeling","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":[0.0004912139,0.0001831148,0.3397658,0.000030363823,0.00030818046,0.000023448618,0.0023588224,0.1423227,0.00012245067,0.44993132,0.0011701615,0.06329243],"study_design_scores_gemma":[0.0005842054,0.00013771169,0.1616359,0.00007659707,0.000008356062,0.000049115526,0.00015199825,0.64504504,0.00004434362,0.11143568,0.08057993,0.00025113652],"about_ca_topic_score_codex":0.00011557364,"about_ca_topic_score_gemma":0.00017638825,"teacher_disagreement_score":0.5027223,"about_ca_system_score_codex":0.00022710083,"about_ca_system_score_gemma":0.000046210884,"threshold_uncertainty_score":0.4352018},"labels":[],"label_agreement":null},{"id":"W4385233634","doi":"10.1002/ijfe.2859","title":"Consumer bankruptcy: Decision, choice and access to credit afterwards","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Trent University; Loughborough University; British Academy of Management; Nottingham Trent University","keywords":"Bankruptcy; Debt; Fresh Start; Economics; Probit model; Ordered probit; Actuarial science; Demographic economics; Business; Finance; Econometrics","score_opus":0.038099662227839594,"score_gpt":0.290128984398359,"score_spread":0.2520293221705194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385233634","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":[0.9842113,0.00089986104,0.0023833858,0.0033792914,0.004582348,0.00011411949,0.00024550204,0.00002378025,0.004160371],"genre_scores_gemma":[0.9860118,0.007995563,0.0021144983,0.0020079857,0.0010068595,0.000010855952,0.000007904242,0.000040539453,0.000804012],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808985,0.000008942438,0.0011537011,0.00036048697,0.00007867092,0.000308325],"domain_scores_gemma":[0.9983752,0.00017906363,0.0008459536,0.0002334263,0.00022764261,0.00013872428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063304073,0.00019305841,0.00051216205,0.0007655496,0.00007741946,0.00035036862,0.00093412964,0.000112310685,0.00014330592],"category_scores_gemma":[0.00016065466,0.00022985536,0.00016407267,0.00024654955,0.000074999014,0.0010219312,0.0002560942,0.00021400457,0.00047910505],"study_design_candidate":"not_applicable","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":[0.0006185256,0.00030218757,0.43628287,0.00004054596,0.00069666345,0.00033651057,0.0026729822,0.013971675,0.00006200575,0.16469534,0.17745234,0.20286836],"study_design_scores_gemma":[0.00087109575,0.000066702596,0.21793556,0.00007012322,0.0000055455002,0.00007516416,0.000012644149,0.00085069996,0.0000703374,0.011350743,0.7684509,0.00024049667],"about_ca_topic_score_codex":0.00011003538,"about_ca_topic_score_gemma":0.00009216002,"teacher_disagreement_score":0.59099853,"about_ca_system_score_codex":0.00019554926,"about_ca_system_score_gemma":0.00008646061,"threshold_uncertainty_score":0.9373229},"labels":[],"label_agreement":null},{"id":"W4386751485","doi":"10.1002/ijfe.2884","title":"Alternative measures for the global financial cycle: Do they make a difference?","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Synchronicity; Economics; Financial crisis; Business cycle; Index (typography); Econometrics; Emerging markets; Asset (computer security); Financial economics; Similarity (geometry); Monetary economics; Finance; Macroeconomics; Computer science","score_opus":0.034663221221296864,"score_gpt":0.2738621444263982,"score_spread":0.23919892320510136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386751485","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":[0.96505946,0.0026209475,0.006516308,0.008308517,0.0095574735,0.0003319676,0.002625492,0.000027823085,0.004951998],"genre_scores_gemma":[0.9912461,0.0057006273,0.00031449815,0.000791491,0.0016666313,0.000029555178,0.00000991162,0.000019622006,0.00022154834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819237,0.000014021431,0.0010689071,0.00026809995,0.00009667975,0.00035990428],"domain_scores_gemma":[0.99800867,0.0002025496,0.0011704274,0.00022921176,0.00032637778,0.00006277598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008511117,0.00020989141,0.00047944632,0.00019290538,0.0001568407,0.00024336271,0.0012712711,0.00011050231,0.000021191468],"category_scores_gemma":[0.0005955038,0.00018763593,0.0004437201,0.00016695204,0.000096720614,0.00022639628,0.00013060197,0.00019175508,0.00013249948],"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":[0.00017622861,0.000054931563,0.014080997,0.000004480218,0.00017014556,0.00001105222,0.00055065204,0.010024984,0.0000024512688,0.94066954,0.0037913462,0.03046318],"study_design_scores_gemma":[0.0008703685,0.00011291733,0.08735333,0.000031998003,0.000012571395,0.000037871756,0.00007492533,0.0022793328,0.00003197422,0.6083616,0.300625,0.00020810589],"about_ca_topic_score_codex":0.00031825356,"about_ca_topic_score_gemma":0.00029556363,"teacher_disagreement_score":0.33230796,"about_ca_system_score_codex":0.00035798908,"about_ca_system_score_gemma":0.00014057913,"threshold_uncertainty_score":0.76515716},"labels":[],"label_agreement":null},{"id":"W4389245259","doi":"10.1002/ijfe.2919","title":"Is illiquidity priced in an international factor pricing model? A dynamic panel data application with robust <scp>IV</scp>","year":2023,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Endogeneity; Economics; Panel data; Estimator; Econometrics; Recession; Generalized method of moments; Financial economics; Monetary economics; Macroeconomics; Mathematics; Statistics","score_opus":0.09551781083376919,"score_gpt":0.27790119709185723,"score_spread":0.18238338625808803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389245259","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":[0.98079425,0.0001467817,0.0138217,0.0011871853,0.0009231673,0.00018461121,0.00095433986,0.000025236779,0.0019627216],"genre_scores_gemma":[0.9914959,0.0034573688,0.0038095613,0.00039351237,0.0002557276,0.000016827564,0.00022380646,0.00003767325,0.00030960684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790066,0.000012889596,0.0011491469,0.0005295578,0.00011183666,0.00029589323],"domain_scores_gemma":[0.99777454,0.00007354321,0.0014032251,0.00047365628,0.00020428724,0.00007076741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006496762,0.00021896495,0.0004278869,0.0006492727,0.000059695525,0.0002328261,0.0017145372,0.00011909116,0.00002349264],"category_scores_gemma":[0.00015390784,0.00024020938,0.000089603665,0.00023277043,0.00007480231,0.0026460178,0.00021474731,0.00028798924,0.00006858355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036551786,0.00075561606,0.21923466,0.00004898697,0.00047115155,0.00008838081,0.0033269261,0.55724454,0.00023018601,0.19705057,0.0026091784,0.018574309],"study_design_scores_gemma":[0.0009938092,0.00012489846,0.2077063,0.000056591925,0.000005722891,0.00002429716,0.00013658384,0.7539144,0.000039672126,0.01975881,0.017071547,0.00016732671],"about_ca_topic_score_codex":0.00008590255,"about_ca_topic_score_gemma":0.00014416336,"teacher_disagreement_score":0.19666992,"about_ca_system_score_codex":0.00046010787,"about_ca_system_score_gemma":0.00017754397,"threshold_uncertainty_score":0.9795454},"labels":[],"label_agreement":null},{"id":"W4391053378","doi":"10.1002/ijfe.2935","title":"Exchange rate misalignment and financial development in Africa","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Economic Growth and Development","field":"Computer Science","cited_by":5,"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":"Quantile regression; Economics; Exchange rate; Robustness (evolution); Quantile; Financial market; Estimator; Monetary economics; Econometrics; Finance; Statistics","score_opus":0.014624238180235194,"score_gpt":0.2165322448821401,"score_spread":0.2019080067019049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391053378","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":[0.96444046,0.0036506988,0.022968516,0.003340825,0.0037824064,0.000076412965,0.0000041988474,0.000014868768,0.0017216136],"genre_scores_gemma":[0.9746332,0.0020540303,0.022519128,0.00036466846,0.00018216371,0.0000067613187,8.0492345e-7,0.000006251194,0.00023297862],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990508,0.0000132738605,0.0005190135,0.0001882108,0.000070139184,0.00015857659],"domain_scores_gemma":[0.99961543,0.000060059352,0.00014604887,0.00007330745,0.00005519982,0.00004993963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056851294,0.00009624878,0.00015160059,0.0002756654,0.000020239471,0.00020003124,0.00051917095,0.00003754821,0.000011361292],"category_scores_gemma":[0.000025187264,0.00009820786,0.00004078199,0.000058385092,0.00001867833,0.0005818035,0.00015627063,0.00011520692,0.000024977462],"study_design_candidate":"not_applicable","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":[0.00009128374,0.00014783608,0.0039128256,0.000047377383,0.00012593783,0.0007805245,0.011644605,0.0010493904,0.00012762744,0.25262117,0.007848423,0.72160304],"study_design_scores_gemma":[0.0009996518,0.00008165964,0.044577174,0.0002874143,0.0000032034166,0.00028963306,0.000031009542,0.012720165,0.0026519378,0.029610403,0.90841484,0.00033290748],"about_ca_topic_score_codex":0.0000030275814,"about_ca_topic_score_gemma":0.000019199162,"teacher_disagreement_score":0.9005664,"about_ca_system_score_codex":0.00034601172,"about_ca_system_score_gemma":0.00046361663,"threshold_uncertainty_score":0.40048003},"labels":[],"label_agreement":null},{"id":"W4391358503","doi":"10.1002/ijfe.2940","title":"The <scp>ECB</scp> press conference statement: deriving a new sentiment indicator for the euro area","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Media Influence and Politics","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":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"","keywords":"Statement (logic); Economics; Sentiment analysis; State (computer science); Monetary policy; Financial stability; Monetary economics; Macroeconomics; Computer science; Political science; Financial system; Artificial intelligence; Law","score_opus":0.050201242147856276,"score_gpt":0.3357396058171799,"score_spread":0.2855383636693236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391358503","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":[0.914767,0.006865187,0.0155957965,0.041751865,0.014722733,0.0006093247,0.00021566574,0.000027947966,0.005444452],"genre_scores_gemma":[0.96790075,0.022587169,0.00062746153,0.000979651,0.002535177,0.000023582788,0.00000350571,0.000015649499,0.0053270436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998983,0.00003414031,0.00043853483,0.00010112111,0.00021459341,0.00022856699],"domain_scores_gemma":[0.9977153,0.0015687208,0.0003603176,0.00009065125,0.00018703772,0.000077991936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009357818,0.00007894107,0.000101018835,0.000043151416,0.00024453734,0.00062810164,0.00084622763,0.000037728718,0.000022547742],"category_scores_gemma":[0.00047039843,0.00005399106,0.00011279207,0.0000309633,0.00016033894,0.00036227188,0.000049944872,0.00016657147,0.000016761895],"study_design_candidate":"not_applicable","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":[0.00002202916,0.00004373163,0.0021042842,0.000014468721,0.00051474856,0.000022729186,0.02806021,0.0021521978,0.000037961043,0.75347275,0.13731526,0.076239645],"study_design_scores_gemma":[0.00014802,0.000026860333,0.0005538249,0.000069486705,0.000021459678,0.000007838339,0.0011988615,0.0018431008,0.00027997815,0.013341713,0.98248076,0.000028093316],"about_ca_topic_score_codex":0.00013063836,"about_ca_topic_score_gemma":0.0002362043,"teacher_disagreement_score":0.8451655,"about_ca_system_score_codex":0.00019207009,"about_ca_system_score_gemma":0.0009863481,"threshold_uncertainty_score":0.6056798},"labels":[],"label_agreement":null},{"id":"W4392705147","doi":"10.1002/ijfe.2964","title":"Do women in the boardroom influence foreign acquisitions' premium and outcomes? Evidence from China","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":10,"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":"Queen's University; Newcastle University; Queen's University Belfast; University of Nottingham; University of Portsmouth","keywords":"Endogeneity; Instrumental variable; Corporate governance; Gender diversity; Business; Propensity score matching; China; Accounting; Diversity (politics); Argument (complex analysis); Value (mathematics); Agency cost; Empirical evidence; Emerging markets; Monetary economics; Agency (philosophy); Enterprise value; Economics; Principal–agent problem; Demographic economics; Finance; Econometrics; Shareholder; Political science","score_opus":0.04387686274783686,"score_gpt":0.30997502208719135,"score_spread":0.2660981593393545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392705147","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":[0.99011254,0.0006278572,0.00015379052,0.0063821026,0.0005748732,0.00005813024,0.000036419384,0.000004546779,0.0020497167],"genre_scores_gemma":[0.9964381,0.0026675232,0.00023072623,0.00036512016,0.00021617499,0.0000025709085,7.939821e-7,0.0000023871548,0.00007661412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917084,0.00008787056,0.00028551553,0.00012141869,0.00018843228,0.00014591319],"domain_scores_gemma":[0.9993032,0.000340139,0.00015407082,0.000077134195,0.000086220614,0.000039230188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015719744,0.000061947496,0.00012376912,0.000088143504,0.000090004825,0.0003362995,0.00061745255,0.000046200774,0.000058472204],"category_scores_gemma":[0.00026554544,0.00005183682,0.000063152,0.00006433383,0.00011131357,0.001219246,0.00005905549,0.00018640785,0.000011246758],"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":[0.00011226956,0.000081786915,0.69869214,0.000011549673,0.00014877671,0.000109717905,0.13269545,0.0028657038,0.00002565434,0.15441236,0.0011206336,0.009723954],"study_design_scores_gemma":[0.00019894788,0.0000355252,0.87959933,0.00016828466,0.00000855373,0.000010402135,0.0064080833,0.00020002862,0.000014802316,0.101294465,0.01197195,0.000089614594],"about_ca_topic_score_codex":0.0006809592,"about_ca_topic_score_gemma":0.00022375763,"teacher_disagreement_score":0.1809072,"about_ca_system_score_codex":0.00040439202,"about_ca_system_score_gemma":0.00023593678,"threshold_uncertainty_score":0.3242944},"labels":[],"label_agreement":null},{"id":"W4394757875","doi":"10.1002/ijfe.2976","title":"Do <scp>ESG</scp> funds engage in portfolio pumping to gain higher flows? An application of <scp>Benford's Law</scp>","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Financial Markets and Investment Strategies","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":"Göteborgs Universitet; City, University of London; University of Glasgow; Universitetet i Agder; Jan Wallanders och Tom Hedelius Stiftelse samt Tore Browaldhs Stiftelse","keywords":"Portfolio; Business; Fund of funds; Finance; Quarter (Canadian coin); Closed-end fund; Institutional investor; Corporate governance; Market liquidity","score_opus":0.027085905190250448,"score_gpt":0.25786112707634656,"score_spread":0.23077522188609612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394757875","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":[0.9447072,0.0021687828,0.0031066032,0.00034222205,0.0025657006,0.00021289066,0.00018571796,0.000020501826,0.046690393],"genre_scores_gemma":[0.99461704,0.0019819601,0.0013090387,0.0005567852,0.0007480518,0.000028049768,0.000023216335,0.000045762565,0.0006900689],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973884,0.0000239067,0.0017012091,0.00044413673,0.000093017916,0.00034930484],"domain_scores_gemma":[0.99823123,0.00024082905,0.0009717395,0.00028684185,0.00015614137,0.00011320484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001128591,0.00025481053,0.00059060793,0.00083292637,0.00005645603,0.00032451766,0.0007984756,0.00016807804,0.000040436338],"category_scores_gemma":[0.00020294683,0.00030343875,0.00023907398,0.00027038783,0.0000734822,0.0015301253,0.00009974785,0.00039417305,0.000088631314],"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":[0.00001705491,0.00015418594,0.011647846,0.000036261605,0.00010024538,0.000044984747,0.00073701097,0.010456834,0.00011157792,0.9682576,0.0013487,0.007087711],"study_design_scores_gemma":[0.0010056318,0.0004238422,0.098083556,0.00031664083,0.000017216833,0.00006915481,0.00039666516,0.015481183,0.00096919294,0.22707097,0.6559667,0.0001992148],"about_ca_topic_score_codex":0.00025377737,"about_ca_topic_score_gemma":0.00013077607,"teacher_disagreement_score":0.7411866,"about_ca_system_score_codex":0.00043741355,"about_ca_system_score_gemma":0.00013392455,"threshold_uncertainty_score":0.99994177},"labels":[],"label_agreement":null},{"id":"W4401196504","doi":"10.1002/ijfe.3024","title":"Negative interest rate policy and bank risk‐taking: Search for yield or de‐leverage?","year":2024,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Economics; Leverage (statistics); Yield (engineering); Interest rate; Yield curve; Monetary economics; Mathematics; Statistics","score_opus":0.06377963105860456,"score_gpt":0.3092357630230764,"score_spread":0.24545613196447186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401196504","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":[0.9649658,0.0012699582,0.027263803,0.003433948,0.0015495694,0.00016681054,0.00039434535,0.000015045404,0.0009406974],"genre_scores_gemma":[0.9926552,0.0026037034,0.0030516817,0.000204109,0.0009459823,0.000008706185,0.0000037573964,0.00003030036,0.0004965674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842143,0.000024724943,0.0009322053,0.0003273103,0.000036523037,0.0002577904],"domain_scores_gemma":[0.9977191,0.0008974037,0.0009641772,0.00015360097,0.00020308829,0.000062600775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016756932,0.00015670716,0.0003374222,0.00057200616,0.00008651279,0.00036678743,0.00046993128,0.00010036149,0.00012464392],"category_scores_gemma":[0.0018393707,0.00016543514,0.00018177363,0.00015439706,0.0001223028,0.0006042933,0.00008498401,0.0002898581,0.00002332414],"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":[0.00038757443,0.000113978334,0.03903355,0.00006093723,0.00031955965,0.00002376938,0.0024494315,0.010614599,0.000027551607,0.9053961,0.00052634126,0.041046605],"study_design_scores_gemma":[0.0018327637,0.0006006131,0.27460954,0.00043651325,0.000030773983,0.00035844056,0.00018012337,0.12454954,0.0013239915,0.51612,0.07933858,0.0006190963],"about_ca_topic_score_codex":0.00018488865,"about_ca_topic_score_gemma":0.00011108399,"teacher_disagreement_score":0.38927606,"about_ca_system_score_codex":0.00068745966,"about_ca_system_score_gemma":0.00035710647,"threshold_uncertainty_score":0.67462486},"labels":[],"label_agreement":null},{"id":"W4407411676","doi":"10.1002/ijfe.3131","title":"The Impact of Say‐On‐Pay on Firm Efficiency in Anglo‐Saxon Economies—Do <scp>CEO</scp> Personal Traits and <scp>CG</scp> Mechanisms Matter?","year":2025,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Corporate Finance and Governance","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":"Economics; Monetary economics; Microeconomics","score_opus":0.0090335473557684,"score_gpt":0.22503462773108948,"score_spread":0.2160010803753211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407411676","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":[0.990714,0.0002996152,0.00024322687,0.0011632335,0.0009154141,0.00014894086,0.00006228609,0.000006008596,0.0064472524],"genre_scores_gemma":[0.996695,0.0007893195,0.000061661,0.0010711631,0.0004240361,0.0000075834087,0.0000035719195,0.00001921104,0.0009284592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847126,0.000012703983,0.0007644201,0.00028359998,0.00016987229,0.0002981202],"domain_scores_gemma":[0.99779826,0.00041845185,0.0014033417,0.00013158417,0.00023109706,0.000017243248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053216977,0.00025200582,0.00039147527,0.00039246609,0.000107422195,0.0002971031,0.00069073506,0.0000923905,0.000016472914],"category_scores_gemma":[0.0002444419,0.00019399359,0.00024545647,0.00019095071,0.000094481205,0.00081249885,0.00010365761,0.00032626744,0.000050836923],"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":[0.00068363466,0.0013639918,0.45195666,0.00015190926,0.00074351777,0.00017953149,0.0010061081,0.07100999,0.00084788195,0.30036527,0.081044845,0.09064668],"study_design_scores_gemma":[0.0019030551,0.00016706233,0.9307374,0.00043351218,0.00002162801,0.000023313461,0.00021589067,0.006341702,0.00028062888,0.022804335,0.036986317,0.000085160675],"about_ca_topic_score_codex":0.00013162369,"about_ca_topic_score_gemma":0.000111996356,"teacher_disagreement_score":0.47878075,"about_ca_system_score_codex":0.0002949215,"about_ca_system_score_gemma":0.00018843017,"threshold_uncertainty_score":0.7910829},"labels":[],"label_agreement":null},{"id":"W4409202909","doi":"10.1002/ijfe.3160","title":"Exchange Rate Risk and Deviations From Purchasing Power Parity","year":2025,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Risk Management in Financial Firms","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":"Purchasing power parity; Relative purchasing power parity; Economics; Exchange rate; Econometrics; Interest rate parity; Parity (physics); Financial economics; Monetary economics; Physics","score_opus":0.010089716463178425,"score_gpt":0.22744138505887027,"score_spread":0.21735166859569183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409202909","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":[0.97804457,0.0005184147,0.007970887,0.0038509355,0.0029151055,0.000086141714,0.000024375415,0.000013036273,0.006576519],"genre_scores_gemma":[0.99395615,0.0023612361,0.0008940033,0.0014159662,0.0011427712,0.0000032331511,0.000009938827,0.000010894039,0.00020581445],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914503,0.000009890367,0.00047268678,0.00016196474,0.000083834835,0.00012660521],"domain_scores_gemma":[0.9987262,0.00008426795,0.00079064316,0.000116820716,0.000274833,0.000007216664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004647977,0.00011564079,0.0001971447,0.00034703012,0.000105420746,0.00038135014,0.00041174138,0.000050430725,0.000063978485],"category_scores_gemma":[0.00025663467,0.00012439092,0.000086200045,0.00011150472,0.00004626277,0.0014022494,0.00021656799,0.00017727853,0.000036339803],"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":[0.0002659184,0.00012993407,0.45183173,0.000026504667,0.00037009586,0.000043919626,0.00017866616,0.0024258047,0.00005713433,0.30037227,0.010682232,0.2336158],"study_design_scores_gemma":[0.00077318307,0.0000074853792,0.31356373,0.00009992465,0.00005717257,0.0000022557579,0.00005343111,0.0027618434,0.000037588507,0.120613724,0.56189036,0.00013930452],"about_ca_topic_score_codex":0.00037894995,"about_ca_topic_score_gemma":0.00019847765,"teacher_disagreement_score":0.55120814,"about_ca_system_score_codex":0.00010164285,"about_ca_system_score_gemma":0.000037509886,"threshold_uncertainty_score":0.50725144},"labels":[],"label_agreement":null},{"id":"W4412662697","doi":"10.1002/ijfe.70012","title":"Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation","year":2025,"lang":"en","type":"article","venue":"International Journal of Finance & Economics","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":3,"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":"Trent University; Nottingham Trent University","keywords":"Cryptocurrency; Economics; Portfolio; Econometrics; Value at risk; Expected shortfall; Value (mathematics); Financial economics; Portfolio optimization; Function (biology); Computer science; Risk management; Machine learning; Finance","score_opus":0.08745596305420789,"score_gpt":0.39559482216460407,"score_spread":0.3081388591103962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412662697","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":[0.6493533,0.000113940056,0.3450622,0.00023845278,0.002301962,0.000071099086,0.000016181133,0.0000059336694,0.0028369308],"genre_scores_gemma":[0.9603963,0.00006480991,0.038971208,0.00017073426,0.00019641937,0.0000034889515,0.000009754948,0.000008604908,0.00017869056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969443,0.00041950686,0.0015741535,0.0003351271,0.0005408025,0.00018613074],"domain_scores_gemma":[0.99483764,0.0019945828,0.002002479,0.00018998695,0.0009273531,0.000047959147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062258705,0.00015011881,0.00034067934,0.0010687794,0.00013914768,0.00016825124,0.00069859246,0.00010701765,0.0005314017],"category_scores_gemma":[0.0071043065,0.00015402398,0.0002346814,0.00036489882,0.000090969086,0.00068770186,0.000095430885,0.00044204394,0.000013560968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005363469,0.00006779943,0.275988,0.0000017263709,0.000039679453,0.000008379577,0.00005258336,0.56757355,0.000043014174,0.004373767,0.0002681789,0.15104698],"study_design_scores_gemma":[0.0009425087,0.00004913514,0.41021284,0.000059444443,0.000018007406,0.000030525403,0.000061017105,0.48775423,0.00016871697,0.09193061,0.00866843,0.000104511164],"about_ca_topic_score_codex":0.000030156405,"about_ca_topic_score_gemma":0.000036586895,"teacher_disagreement_score":0.311043,"about_ca_system_score_codex":0.0008299603,"about_ca_system_score_gemma":0.00048562832,"threshold_uncertainty_score":0.85050315},"labels":[],"label_agreement":null}]}