{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":47,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":47,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"d29b3e925d77","filters":{"venue":"Research in International Business and Finance"}},"results":[{"id":"W3153624456","doi":"10.1016/j.ribaf.2021.101419","title":"The impact of COVID-19 on the stock market crash risk in China","year":2021,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":190,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Skewness; Autoregressive conditional heteroskedasticity; Stock market crash; Crash; Stock market; Equity (law); Econometrics; China; Economics; Stock market index; Pandemic; Coronavirus disease 2019 (COVID-19); Index (typography); Financial economics; Proxy (statistics); Business; Statistics; Volatility (finance); Geography; Medicine; Computer science; Mathematics","authors":[{"name":"Toan Luu Duc Huynh","is_ca":false},{"name":"Peng-Fei Dai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1008443444949387,"gpt":0.3810602242572835,"spread":0.2802158797623448,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032444,0.0003287817,0.0003633236,0.001186413,0.0006955821,0.001377596,0.0005471806,0.0008420572,0.002702188],"category_scores_gemma":[0.002632588,0.0002067666,0.000614914,0.001013591,0.0006344444,0.0009337261,0.001599754,0.001139456,0.0001766109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955685,"about_ca_system_score_gemma":0.002806196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08699365,"about_ca_topic_score_gemma":0.07459686,"domain_scores_codex":[0.9993819,0.00007048931,0.00005276919,0.00006933945,0.0001304063,0.0002949605],"domain_scores_gemma":[0.9980697,0.0002115054,0.0006161316,0.0001136579,0.0005068182,0.0004822137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001898166,0.0001283677,0.972636,0.00006622289,0.00020005,0.001001335,0.0004258598,0.006582938,0.0008075805,0.003825551,0.003595984,0.01054028],"study_design_scores_gemma":[0.00001628869,0.000103055,0.981058,0.0000206417,0.00008739333,0.0001136094,0.0007919325,0.01476713,0.0002232412,0.0008677722,0.001918564,0.00003242691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956933,0.0004734617,0.0001612401,0.001200196,0.00004355469,0.00001371277,0.0004730056,0.00001255645,0.001929006],"genre_scores_gemma":[0.9990355,0.0002070527,0.00001839802,0.00006972149,0.00002426466,0.000002998056,0.0002701952,0.000001735226,0.0003701841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08699365,"threshold_uncertainty_score":0.1729745,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1939869607","doi":"10.1016/j.ribaf.2015.09.036","title":"Insurance penetration and economic growth nexus: Cross-country evidence from ASEAN","year":2015,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":101,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trent University","funders":"","keywords":"Capitalization; Certification; Nexus (standard); Business; Granger causality; Economics; Panel data; Actuarial science; Finance; Econometrics","authors":[{"name":"Rudra P. Pradhan","is_ca":false},{"name":"B. Mak Arvin","is_ca":true},{"name":"Neville R. Norman","is_ca":false},{"name":"Mahendhiran Nair","is_ca":false},{"name":"John H. Hall","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.109266773121998,"gpt":0.3415375370321,"spread":0.232270763910102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008207052,0.0004126994,0.0003345879,0.001410883,0.0006969699,0.001459862,0.000355016,0.0003433142,0.002249007],"category_scores_gemma":[0.001453173,0.0001710209,0.0004698051,0.003606911,0.0006768355,0.00125648,0.001215531,0.0006579793,0.0003526013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005763689,"about_ca_system_score_gemma":0.0006072558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07108222,"about_ca_topic_score_gemma":0.1132923,"domain_scores_codex":[0.9997279,0.00007274596,0.00001944466,0.00004803842,0.0000474458,0.00008446658],"domain_scores_gemma":[0.9977584,0.0006359261,0.0009965618,0.0001127718,0.0002619681,0.0002343416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003367151,0.0003309482,0.9666123,0.0001001464,0.0006867239,0.001604663,0.001481866,0.002577208,0.0005125061,0.00288375,0.005496516,0.01737663],"study_design_scores_gemma":[0.00001294369,0.00005673024,0.9912055,0.00004772998,0.0001957883,0.0002203061,0.002370354,0.001328319,0.0002197565,0.0004592909,0.003864765,0.00001855576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932219,0.001263166,0.000171076,0.0003553068,0.000008171308,0.00000318486,0.001165344,0.00001032223,0.003801619],"genre_scores_gemma":[0.9960835,0.001333658,0.00008337967,0.00005168647,0.00001291847,0.000003676604,0.001736429,0.000003224901,0.0006913997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07108222,"threshold_uncertainty_score":0.141337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124908192","doi":"10.1016/j.ribaf.2006.03.005","title":"Intra- and inter-regional spillovers between emerging capital markets around the world","year":2006,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":97,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Wilfrid Laurier University","keywords":"Volatility (finance); Emerging markets; Latin Americans; Interdependence; Economics; Economic geography; International economics; Capital market; Capital flows; Capital (architecture); East Asia; Monetary economics; International trade; China; Geography; Financial economics; Macroeconomics; Market economy; Finance","authors":[{"name":"Bartosz Gębka","is_ca":false},{"name":"Dobromił Serwa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04809004588323359,"gpt":0.2990923683434639,"spread":0.2510023224602303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351976,0.0001330043,0.0002442629,0.001187169,0.0004299366,0.002164645,0.0001828705,0.0003886854,0.003590865],"category_scores_gemma":[0.004203383,0.0001159074,0.0002477012,0.001561592,0.0005406793,0.002154594,0.001321528,0.0004812399,0.0003170496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266877,"about_ca_system_score_gemma":0.0004941381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005544509,"about_ca_topic_score_gemma":0.01201792,"domain_scores_codex":[0.9997588,0.00007605022,0.00001358118,0.00004438911,0.00004528745,0.00006192522],"domain_scores_gemma":[0.9973652,0.001249108,0.0005973163,0.0001426572,0.0004059729,0.0002396656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006512756,0.0002331695,0.7575352,0.0003026541,0.0004458123,0.001928376,0.006193633,0.0161456,0.00356301,0.09002817,0.006208589,0.1167645],"study_design_scores_gemma":[0.00003921859,0.0001179735,0.9136826,0.0002047209,0.0004974672,0.0007196765,0.01331412,0.0089443,0.001206883,0.04900836,0.01221372,0.00005094408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779384,0.002310589,0.001953304,0.0007137813,0.00002584501,0.00001527752,0.0003297991,0.0000135818,0.01669939],"genre_scores_gemma":[0.9979897,0.0007382141,0.0003535218,0.00004015373,0.00002246636,0.000003002883,0.0001104428,0.000002236174,0.0007402628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005544509,"threshold_uncertainty_score":0.0120126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092378229","doi":"10.1016/j.ribaf.2011.12.003","title":"Financial market development and the effectiveness of R&amp;D investment: Evidence from developed and emerging countries","year":2012,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ordinary least squares; Investment (military); Instrumental variable; Estimation; Economics; Panel data; Finance; Financial market; Variable (mathematics); Business; Econometrics","authors":[{"name":"Reza H. Chowdhury","is_ca":false},{"name":"Min Maung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09304591502442766,"gpt":0.3099714730954177,"spread":0.2169255580709901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001735352,0.0002194921,0.0002757798,0.001954565,0.0003560488,0.002332571,0.0002893655,0.0004773585,0.001988123],"category_scores_gemma":[0.006429476,0.0001726453,0.0004209948,0.003546682,0.001243784,0.001335144,0.0008357633,0.0007574954,0.0002611004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000625815,"about_ca_system_score_gemma":0.0007583755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092616,"about_ca_topic_score_gemma":0.01471529,"domain_scores_codex":[0.9995607,0.0001164448,0.00006013734,0.0000609528,0.00008522886,0.0001165478],"domain_scores_gemma":[0.9856215,0.004386277,0.007944827,0.0003014566,0.0009639291,0.0007820565],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000412119,0.0001133348,0.9753221,0.0001644303,0.0002484385,0.000278775,0.0003528744,0.00067914,0.0001731848,0.002775554,0.0009028288,0.01857721],"study_design_scores_gemma":[0.00003374008,0.000115111,0.9936795,0.00009829693,0.0001526158,0.0001290972,0.0007988429,0.0002234992,0.0003978586,0.0005335339,0.003829157,0.000008563286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725874,0.01516944,0.0001571399,0.001300209,0.00002490266,0.00001271513,0.001078393,0.000005335366,0.009664466],"genre_scores_gemma":[0.9930647,0.005716741,0.00005245499,0.0001130101,0.00002971677,0.00000289536,0.0006331311,0.000001628542,0.0003858591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9982647,"threshold_uncertainty_score":0.02172512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319998089","doi":"10.1016/j.ribaf.2023.101886","title":"How much finance is in climate finance? A bibliometric review, critiques, and future research directions","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 Marie Skłodowska-Curie Actions; Horizon 2020","keywords":"Climate Finance; Finance; Climate science; Climate change; Social studies of finance; Dimension (graph theory); Economics; Ecology; Economic growth; Developing country","authors":[{"name":"Rosella Carè","is_ca":true},{"name":"Olaf Weber","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1209193559081831,"gpt":0.3860568244863355,"spread":0.2651374685781524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03412728,0.0006948751,0.001975595,0.08323141,0.002759294,0.01639786,0.001280435,0.002148488,0.005747916],"category_scores_gemma":[0.1232405,0.000583338,0.001038127,0.1393885,0.006599296,0.0171905,0.003001441,0.002160839,0.001135906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008939615,"about_ca_system_score_gemma":0.01243771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694356,"about_ca_topic_score_gemma":0.01766633,"domain_scores_codex":[0.9782076,0.008195912,0.002743414,0.001616393,0.008499325,0.0007372678],"domain_scores_gemma":[0.8270501,0.1167723,0.01434845,0.004474174,0.03585758,0.001497466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001241737,0.00006204217,0.02981853,0.02537318,0.0007843901,0.0002264482,0.004368423,0.001365731,0.0003863557,0.162837,0.1245241,0.6501295],"study_design_scores_gemma":[0.00002830415,0.0000507306,0.08942128,0.04788844,0.0009018968,0.0004526216,0.01958413,0.002054457,0.0005683778,0.07916235,0.7597215,0.0001659007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01175497,0.8047468,0.00220437,0.1468168,0.002806504,0.00003991516,0.001031023,0.00007273768,0.0305269],"genre_scores_gemma":[0.1664313,0.8078739,0.002179856,0.01190241,0.008666956,0.00006659066,0.001070016,0.00007251623,0.001736498],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9167686,"threshold_uncertainty_score":0.1804845,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2103531886","doi":"10.1016/j.ribaf.2013.05.001","title":"A threshold vector autoregression model of exchange rate pass-through in Mexico","year":2013,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Exchange rate; Exchange-rate pass-through; Vector autoregression; Shock (circulatory); Economics; Inflation (cosmology); Econometrics; Autoregressive model; Inflation rate; Monetary economics; Interest rate; Internal medicine; Medicine; Physics","authors":[{"name":"Abdul Aleem","is_ca":true},{"name":"Amine Lahiani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2055920367735163,"gpt":0.3298579448398615,"spread":0.1242659080663452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007413321,0.0002800876,0.0007546868,0.0004907769,0.0006207574,0.002700665,0.0009755734,0.001139954,0.003907144],"category_scores_gemma":[0.003011264,0.0004149604,0.0005842842,0.0007636473,0.0004069494,0.001409753,0.0004725246,0.001180915,0.0002520783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232001,"about_ca_system_score_gemma":0.001548836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.191062,"about_ca_topic_score_gemma":0.1103045,"domain_scores_codex":[0.9998522,0.00002967249,0.000009258612,0.00005975367,0.000008965414,0.00004017598],"domain_scores_gemma":[0.9990565,0.0004598721,0.0002654176,0.00005109732,0.0001174138,0.00004956477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006319529,0.0002234539,0.1149567,0.0001211375,0.0003512844,0.0005706683,0.0008483881,0.6014124,0.001557796,0.2464635,0.006926822,0.02593599],"study_design_scores_gemma":[0.0000655922,0.00004529733,0.02686352,0.000032369,0.0001893752,0.00004195796,0.000262117,0.9548792,0.0002410807,0.01582014,0.001527222,0.00003213204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679732,0.0005205209,0.02326468,0.00199768,0.00005865334,0.00001653359,0.001085066,0.0001701716,0.00491346],"genre_scores_gemma":[0.9943802,0.0003292876,0.00137476,0.00002305867,0.000021143,0.00001238785,0.0003947605,0.00002121932,0.00344316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.191062,"threshold_uncertainty_score":0.3798998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2734714134","doi":"10.1016/j.ribaf.2017.07.137","title":"Audit quality during the global financial crisis: The investors’ perspective","year":2017,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Financial crisis; Business; Audit; Perspective (graphical); Financial system; Finance; Quality audit; Quality (philosophy); Accounting; Economics; Computer science; Macroeconomics","authors":[{"name":"Khurram Shahzad","is_ca":false},{"name":"Thierry Pouw","is_ca":false},{"name":"Ghulame Rubbaniy","is_ca":false},{"name":"Osama El‐Temtamy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04989139996712973,"gpt":0.3509079020097876,"spread":0.3010165020426578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009817898,0.000203029,0.0004324317,0.002275006,0.001055072,0.006802398,0.0005103839,0.003069135,0.003034611],"category_scores_gemma":[0.03383679,0.0001975085,0.000381762,0.003207983,0.004256241,0.00453938,0.002134315,0.004257909,0.0001471434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005369249,"about_ca_system_score_gemma":0.003989812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02552446,"about_ca_topic_score_gemma":0.02559534,"domain_scores_codex":[0.9967566,0.001450233,0.0001881806,0.0002154415,0.0006023525,0.0007872114],"domain_scores_gemma":[0.9695854,0.008747643,0.01310552,0.0006895846,0.005397501,0.002474318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001843609,0.0004937548,0.527012,0.0007654487,0.0002896438,0.001095217,0.01454521,0.006148164,0.0009947665,0.1702097,0.05465275,0.2219497],"study_design_scores_gemma":[0.0001135201,0.0004731882,0.8342817,0.001363881,0.0001470142,0.0007685494,0.02762831,0.00343468,0.0009428848,0.06271902,0.0679581,0.0001691581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4809015,0.03035335,0.00160963,0.4407525,0.001268054,0.00003240187,0.0007298209,0.00002998698,0.0443227],"genre_scores_gemma":[0.9894616,0.004090781,0.0001383348,0.004352069,0.0009879882,0.000004669325,0.00005837043,0.00000966177,0.0008964219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02552446,"threshold_uncertainty_score":0.05192262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289444015","doi":"10.1016/j.ribaf.2022.101724","title":"On the volatility of cryptocurrencies","year":2022,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Cryptocurrency; Econometrics; Volatility (finance); Autoregressive conditional heteroskedasticity; Deviance information criterion; Stochastic volatility; Realized variance; Forward volatility; Economics; Bayesian probability; Markov chain; Deviance (statistics); Financial models with long-tailed distributions and volatility clustering; Computer science; Bayesian inference; Artificial intelligence; Machine learning","authors":[{"name":"Theodore Panagiotidis","is_ca":false},{"name":"Georgios Papapanagiotou","is_ca":false},{"name":"Thanasis Stengos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1441883816070741,"gpt":0.3277539267844601,"spread":0.183565545177386,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003080157,0.0007511557,0.001028793,0.001987818,0.0005871774,0.002988082,0.001057273,0.001070662,0.002837196],"category_scores_gemma":[0.02486711,0.0003905787,0.0005930012,0.001500173,0.002391829,0.004368294,0.001426898,0.002702321,0.0002527073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302871,"about_ca_system_score_gemma":0.0007241009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00266119,"about_ca_topic_score_gemma":0.001164988,"domain_scores_codex":[0.9989265,0.000391553,0.00005503857,0.0001270356,0.0002813535,0.0002184881],"domain_scores_gemma":[0.9880447,0.008750414,0.001028712,0.0007235406,0.001036444,0.0004161985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001897127,0.00004724331,0.004240978,0.00008871021,0.00006847637,0.0002860042,0.0001434225,0.1453457,0.002511053,0.8281677,0.00220762,0.01670345],"study_design_scores_gemma":[0.00001878459,0.00002925849,0.001901279,0.00004682075,0.00002594783,0.0001121973,0.00005576565,0.6837922,0.001144807,0.3115185,0.001316684,0.00003770285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.763361,0.01025163,0.1837612,0.006583586,0.0009049945,0.00004140347,0.0003845246,0.00021819,0.03449339],"genre_scores_gemma":[0.9928185,0.002241347,0.001757329,0.0001040893,0.0003417733,0.000008289703,0.0001085206,0.00005726003,0.002562981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003080157,"threshold_uncertainty_score":0.01628965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209359829","doi":"10.1016/j.ribaf.2021.101568","title":"Firm-level trade credit responses to COVID-19-induced monetary and fiscal policies: International evidence","year":2021,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Trade credit; Monetary economics; Economics; Monetary policy; Sample (material); Psychological intervention; Intervention (counseling); Fiscal policy; Business; Financial system; International economics; Finance","authors":[{"name":"Ahmed Al‐Hadi","is_ca":false},{"name":"Almukhtar S. Al‐Abri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1711049513150575,"gpt":0.3745967782644065,"spread":0.203491826949349,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002641656,0.0002613647,0.0003913648,0.0009600478,0.0006130201,0.003038059,0.0006489386,0.001753642,0.007462833],"category_scores_gemma":[0.01337503,0.0002348938,0.0004020354,0.001897362,0.0009065419,0.0008487097,0.001177051,0.001838562,0.001355395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009699007,"about_ca_system_score_gemma":0.0009178188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01260763,"about_ca_topic_score_gemma":0.01227523,"domain_scores_codex":[0.9988826,0.0002361055,0.000130068,0.0001984721,0.0002367686,0.000316095],"domain_scores_gemma":[0.9746367,0.006499256,0.01416098,0.001463237,0.001765786,0.001474091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003102668,0.001246316,0.9537704,0.0002216639,0.0003472966,0.0002850706,0.000460401,0.001820349,0.001068302,0.00488994,0.003509203,0.0292785],"study_design_scores_gemma":[0.0001277577,0.0003021614,0.9899582,0.0000638848,0.0001443926,0.00005643123,0.0008775324,0.0004680047,0.000803156,0.001523232,0.005655512,0.0000196848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798533,0.001750185,0.0001684498,0.001398937,0.00006194903,0.00003217811,0.001784072,0.00002537384,0.01492557],"genre_scores_gemma":[0.9952494,0.001013291,0.00006387381,0.0003524426,0.00006413011,0.00001114517,0.001815849,0.0000058931,0.001423836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01260763,"threshold_uncertainty_score":0.02506852,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386248205","doi":"10.1016/j.ribaf.2023.102072","title":"How do FinTech companies contribute to the achievement of SDGs? Insights from case studies","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Value (mathematics); Exploratory research; Sustainable Value; Sustainable development; Business; Business model; Economics; Marketing; Sustainability; Computer science; Sociology; Political science","authors":[{"name":"Rosella Carè","is_ca":true},{"name":"Iustina Alina Boitan","is_ca":false},{"name":"Razia Fatima","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09491634569825781,"gpt":0.3466633404897912,"spread":0.2517469947915335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005702876,0.0003691512,0.0002235265,0.002290237,0.006898551,0.008167988,0.001045963,0.002438907,0.004018991],"category_scores_gemma":[0.008696786,0.0001682432,0.0002484055,0.002927475,0.004393801,0.004102395,0.004904547,0.001760561,0.000341331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007559637,"about_ca_system_score_gemma":0.007672545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01603497,"about_ca_topic_score_gemma":0.04289505,"domain_scores_codex":[0.9944873,0.002227324,0.0001021768,0.0002824651,0.0008194424,0.002081289],"domain_scores_gemma":[0.9894805,0.005414436,0.00124657,0.0006073615,0.0008847362,0.002366329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003758263,0.001935456,0.3558397,0.0004307617,0.0001165522,0.009424709,0.1599302,0.005257801,0.002194055,0.239729,0.01904355,0.2057224],"study_design_scores_gemma":[0.0001100526,0.0006874553,0.1606738,0.0008446629,0.0001008105,0.001580112,0.5822025,0.006305125,0.002575284,0.04575182,0.1990873,0.00008091069],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.874778,0.0004642015,0.001392879,0.004471758,0.00003524045,0.00007886876,0.00005753391,0.00003517363,0.1186863],"genre_scores_gemma":[0.997981,0.0001103205,0.0003227413,0.0001177757,0.000006542393,0.000008516208,0.00001876766,0.000003997386,0.001430377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603497,"threshold_uncertainty_score":0.05484933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2963916475","doi":"10.1016/j.ribaf.2019.101064","title":"Sukuk market development and Islamic banks’ capital ratios","year":2019,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Sukuk; Islam; Islamic finance; Financial system; Business; Economics; Capital market; Monetary economics; Finance; Geography","authors":[{"name":"Houcem Smaoui","is_ca":false},{"name":"Hatem Ghouma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02394145923140069,"gpt":0.274330735659904,"spread":0.2503892764285033,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005804285,0.000169987,0.0001433278,0.0008860218,0.0005512034,0.002138922,0.0001659848,0.000307942,0.005510774],"category_scores_gemma":[0.001925805,0.00009450605,0.0001836,0.0009680234,0.0006380502,0.001484141,0.0006563431,0.0007991163,0.0006242266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009338243,"about_ca_system_score_gemma":0.0005661948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955883,"about_ca_topic_score_gemma":0.004056116,"domain_scores_codex":[0.9998657,0.00002583977,0.00001434501,0.00001690917,0.00002743414,0.00004982229],"domain_scores_gemma":[0.9979923,0.0003726051,0.0008616453,0.00004483847,0.0003961409,0.0003324823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005514192,0.0003556948,0.8746163,0.0000796139,0.0001217967,0.00113663,0.004020183,0.00123482,0.002758792,0.05191632,0.003945207,0.05926329],"study_design_scores_gemma":[0.00002566896,0.0001217167,0.9774936,0.0000382142,0.00006722854,0.0004030733,0.004334396,0.002464936,0.001238823,0.005895122,0.007893891,0.00002341322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984976,0.0002273217,0.0001133765,0.0003163598,0.00001923639,0.000004870451,0.00005990611,0.000006816988,0.01427605],"genre_scores_gemma":[0.9980789,0.0001034732,0.00004442437,0.00002162383,0.00001189361,0.000001624409,0.00004426959,0.000002088362,0.001691672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005510774,"threshold_uncertainty_score":0.01843536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318317816","doi":"10.1016/j.ribaf.2023.101887","title":"Economic policy uncertainty, institutional environments, and corporate cash holdings","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Expropriation; Cash; Business; Sample (material); Monetary economics; Cash management; Quality (philosophy); Operating cash flow; Economics; Economic policy; Finance; Financial system; Market economy","authors":[{"name":"Sadok El Ghoul","is_ca":true},{"name":"Omrane Guedhami","is_ca":false},{"name":"Sattar Mansi","is_ca":false},{"name":"He Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09299366005721879,"gpt":0.3158327950673498,"spread":0.2228391350101311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003334795,0.0001299996,0.000319572,0.0006296536,0.0006419326,0.004153332,0.0003069873,0.001081376,0.002814562],"category_scores_gemma":[0.02010873,0.0001684946,0.0001492444,0.001056263,0.00133567,0.002381404,0.0008902467,0.001353034,0.0001628682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495535,"about_ca_system_score_gemma":0.0008997542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003291204,"about_ca_topic_score_gemma":0.003713424,"domain_scores_codex":[0.9991284,0.0003750873,0.0000554116,0.00008076154,0.0001047024,0.0002557402],"domain_scores_gemma":[0.9804912,0.01155882,0.005657185,0.000534436,0.000687308,0.001071065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001794733,0.001038849,0.586601,0.000131156,0.0003461888,0.0007479354,0.001684248,0.09252088,0.001065605,0.2727307,0.00452075,0.03681809],"study_design_scores_gemma":[0.0001174048,0.0003134133,0.5964012,0.0001344229,0.0002039343,0.0001640109,0.007412224,0.04935763,0.001181714,0.3375662,0.007021083,0.0001267283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843118,0.000793292,0.001564796,0.003085091,0.00002713668,0.000009511444,0.0001763664,0.00001297859,0.01001911],"genre_scores_gemma":[0.9995358,0.000161244,0.00004413572,0.00004351014,0.00001391191,0.000001712121,0.00002592617,0.000002090832,0.0001717361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004153332,"threshold_uncertainty_score":0.01763624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403321414","doi":"10.1016/j.ribaf.2024.102629","title":"Connectedness and systemic risk between FinTech and traditional financial stocks: Implications for portfolio diversification","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"York University","keywords":"Systemic risk; Diversification (marketing strategy); Portfolio; Business; Social connectedness; Financial system; Financial economics; Economics; Finance; Financial crisis","authors":[{"name":"Irene Henriques","is_ca":true},{"name":"Perry Sadorsky","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1161605058285981,"gpt":0.3252933255311401,"spread":0.209132819702542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006476972,0.0002211719,0.0002419692,0.001697526,0.0005526778,0.002083912,0.0003775083,0.0007433851,0.003886953],"category_scores_gemma":[0.005913244,0.0001021517,0.0002651208,0.002005342,0.0008712034,0.002130808,0.001165444,0.0006842173,0.0002279722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005874209,"about_ca_system_score_gemma":0.0003243517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002976968,"about_ca_topic_score_gemma":0.005132329,"domain_scores_codex":[0.9997666,0.00004489708,0.00002267549,0.00005568721,0.00006302592,0.00004711505],"domain_scores_gemma":[0.9945226,0.001803189,0.002182447,0.0002798284,0.0003578149,0.0008540485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001517417,0.0001192302,0.9775591,0.00001415218,0.000110513,0.0002573416,0.0005250591,0.001023981,0.0007136338,0.008434647,0.0001580118,0.01093251],"study_design_scores_gemma":[0.00001478126,0.00009277283,0.9746072,0.00002137516,0.00005643412,0.000228641,0.001179798,0.002642658,0.0003110669,0.02022523,0.0006060236,0.00001405006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996622,0.0001802375,0.0003228432,0.0001540275,0.000004583874,0.000002875521,0.00005979032,0.000003896005,0.002649578],"genre_scores_gemma":[0.999465,0.00005632401,0.00008292748,0.00001329451,0.000006305359,0.0000012249,0.00004730251,0.000001035923,0.0003265669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003886953,"threshold_uncertainty_score":0.01300323,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2709900414","doi":"10.1016/j.ribaf.2019.101117","title":"Ethical Investing Has No Portfolio Performance Cost","year":2019,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Portfolio; Sharpe ratio; Investment (military); Selection (genetic algorithm); Actuarial science; Portfolio optimization; Economics; Business; Financial economics; Computer science; Law","authors":[{"name":"Yufen Fu","is_ca":false},{"name":"Danika Wright","is_ca":false},{"name":"George Blazenko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1255222556585095,"gpt":0.3154563683342258,"spread":0.1899341126757163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004861155,0.0005724689,0.000948751,0.0008600086,0.001018947,0.003822017,0.0008861363,0.004471569,0.02264222],"category_scores_gemma":[0.03347724,0.0003254101,0.000490831,0.0004833029,0.003620951,0.003445754,0.00185963,0.003454115,0.002336728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226966,"about_ca_system_score_gemma":0.001536061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003821214,"about_ca_topic_score_gemma":0.0006379334,"domain_scores_codex":[0.994984,0.001186292,0.0003062864,0.0005917918,0.002235203,0.000696358],"domain_scores_gemma":[0.9805408,0.007161502,0.002714227,0.004779598,0.003143983,0.001659906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001474031,0.0002709478,0.004557049,0.000122895,0.0001009656,0.0002878061,0.0001464448,0.001820566,0.0008249331,0.8874447,0.01761933,0.0866569],"study_design_scores_gemma":[0.000102312,0.0002238965,0.004317007,0.0001028794,0.00007528665,0.00140558,0.0002454119,0.003958867,0.0008674358,0.9519905,0.03667721,0.00003361471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.119496,0.001925889,0.07469679,0.03562983,0.001444517,0.0002269937,0.0002387592,0.0002647065,0.7660765],"genre_scores_gemma":[0.9181004,0.0005172075,0.006964564,0.004178143,0.0007311246,0.0001129293,0.0001004175,0.00006973623,0.06922556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02264222,"threshold_uncertainty_score":0.07574576,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401285024","doi":"10.1016/j.ribaf.2024.102509","title":"Institutional investor horizons and stock price crash risk","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Institutional investor; Business; Corporate governance; Stock price; Finance; Stock (firearms); Due diligence","authors":[{"name":"Fanjie Fu","is_ca":false},{"name":"Jing Fang","is_ca":false},{"name":"Mei Yang","is_ca":true},{"name":"Shujie Yao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05500331211880588,"gpt":0.3077243101740111,"spread":0.2527209980552052,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001690318,0.0001149882,0.0001455027,0.0008131565,0.0002935919,0.001582939,0.000271471,0.0007763107,0.006542816],"category_scores_gemma":[0.01831203,0.0001052212,0.0001645488,0.0005936762,0.0004008856,0.001502581,0.0007155617,0.001301022,0.0004222359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004798415,"about_ca_system_score_gemma":0.0003204687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722703,"about_ca_topic_score_gemma":0.002740043,"domain_scores_codex":[0.9997824,0.00005017545,0.0000223484,0.00002503208,0.0000433701,0.00007661262],"domain_scores_gemma":[0.9789774,0.006771742,0.009295735,0.0006656686,0.0007481776,0.003541255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007279006,0.0002868052,0.9627364,0.00002437984,0.0001663833,0.0003631811,0.0002466952,0.00177329,0.0003946162,0.009880843,0.001892432,0.02150705],"study_design_scores_gemma":[0.00003287301,0.0001364049,0.983621,0.00002615813,0.00008993466,0.0002987693,0.0003634824,0.003052729,0.000266243,0.01059953,0.001495573,0.00001728749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908886,0.001283281,0.0004022927,0.00108971,0.00002802178,0.000005025418,0.0002125728,0.00001247441,0.006078167],"genre_scores_gemma":[0.9990692,0.0002403392,0.00002376842,0.00003102184,0.00003996144,0.000001138246,0.00007183441,0.000001950404,0.0005208009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006542816,"threshold_uncertainty_score":0.02188784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387458032","doi":"10.1016/j.ribaf.2023.102130","title":"Share pledging of controlling shareholders and corporate social responsibility disclosure","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Shareholder; Accounting; Business; Corporate social responsibility; Credibility; Corporate governance; Social responsibility; Sample (material); Shareholder resolution; Finance; Public relations; Law","authors":[{"name":"Shengnan Li","is_ca":false},{"name":"Xinya Zheng","is_ca":false},{"name":"Xuan Ma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1508699074452015,"gpt":0.3612492775576844,"spread":0.2103793701124828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004480876,0.0001597996,0.0002202967,0.000617081,0.0009772237,0.003317948,0.0005795722,0.002098344,0.006606174],"category_scores_gemma":[0.03533021,0.0001445563,0.0002053461,0.0007095703,0.002118233,0.003803442,0.001453529,0.002033009,0.0003689177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014909,"about_ca_system_score_gemma":0.001004772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002584336,"about_ca_topic_score_gemma":0.003971051,"domain_scores_codex":[0.9973224,0.001284062,0.0001751347,0.0002548221,0.0006007313,0.0003628594],"domain_scores_gemma":[0.9476346,0.03023717,0.01722866,0.001895581,0.001867873,0.001136129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001630543,0.001273,0.3862635,0.0002648304,0.0002960056,0.001215634,0.01276793,0.005696922,0.002416992,0.4488813,0.01056845,0.128725],"study_design_scores_gemma":[0.0001722456,0.0009188039,0.5514013,0.0003377099,0.0003378479,0.0009437807,0.01564338,0.01612455,0.005343038,0.3684092,0.04022874,0.0001394554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520206,0.001785493,0.005254084,0.007209888,0.0001233095,0.00004565184,0.0001069872,0.00002824193,0.1334257],"genre_scores_gemma":[0.9968297,0.0001255198,0.00009653405,0.0001195709,0.00003307793,0.000004916229,0.00001536328,0.000001928369,0.002773394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006606174,"threshold_uncertainty_score":0.02369744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4361248175","doi":"10.1016/j.ribaf.2023.101938","title":"COVID-19, a blessing in disguise for the Tech sector: Evidence from stock price crash risk","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland","keywords":"Beneficiary; Coronavirus disease 2019 (COVID-19); Blessing; Pandemic; Stock (firearms); Business; Crash; Stock price; Economics; Monetary economics; Financial economics; Finance; Geography; Infectious disease (medical specialty); Medicine; Biology","authors":[{"name":"Ashrafee T Hossain","is_ca":true},{"name":"Abdullah Al Masum","is_ca":false},{"name":"Jian Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2740385589537649,"gpt":0.4172371865163829,"spread":0.143198627562618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003558124,0.0003674469,0.0003156273,0.001647937,0.0009514245,0.002667647,0.0008768648,0.001949598,0.0055647],"category_scores_gemma":[0.02212343,0.0001410225,0.0004498645,0.001993588,0.001170088,0.003485027,0.00198627,0.003091401,0.0008735986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007442183,"about_ca_system_score_gemma":0.001487998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02979664,"about_ca_topic_score_gemma":0.04640395,"domain_scores_codex":[0.9988437,0.0002715203,0.00009851432,0.0001027085,0.0005169653,0.0001665715],"domain_scores_gemma":[0.9840155,0.004422684,0.004676072,0.00149107,0.003338309,0.002056323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00136186,0.0002952719,0.7439475,0.0003312255,0.0004213222,0.0004605714,0.0009888846,0.0006168602,0.000590726,0.01656999,0.1390381,0.09537762],"study_design_scores_gemma":[0.0001547576,0.0008291003,0.8622879,0.0008387166,0.0004569208,0.0003590603,0.006721289,0.001182464,0.00124508,0.009577591,0.1162548,0.00009228422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720655,0.01863978,0.002187224,0.1742593,0.002848507,0.000142735,0.01564687,0.0001383638,0.06548235],"genre_scores_gemma":[0.9643141,0.007970908,0.000592902,0.01522931,0.001251778,0.00003041121,0.005657276,0.00005654638,0.004896784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02979664,"threshold_uncertainty_score":0.05924636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387167184","doi":"10.1016/j.ribaf.2023.102121","title":"Effects of business to business e-commerce platform-governance mechanisms on seller firms’ performance","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Startup Research Fund of Zhengzhou University; Natural Science Foundation of Shandong Province","keywords":"Business; Corporate governance; Profit (economics); The Internet; Business-to-business; Industrial organization; Cloud computing; E-commerce; Supervisor; Marketing; Government (linguistics); Commerce; Economics; Finance; Management; Computer science; Microeconomics; World Wide Web","authors":[{"name":"Wenjie Li","is_ca":false},{"name":"Chaojing Sun","is_ca":false},{"name":"Yan Li","is_ca":false},{"name":"Myriam Ertz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04265651525221629,"gpt":0.2734599668369813,"spread":0.230803451584765,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003965898,0.0003483695,0.0005175772,0.0005996996,0.0006671384,0.004207096,0.0008865749,0.002063446,0.01493261],"category_scores_gemma":[0.01960946,0.000349662,0.0006281269,0.000557013,0.001242657,0.003138571,0.001889843,0.00175431,0.0009355361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312743,"about_ca_system_score_gemma":0.001533918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002519283,"about_ca_topic_score_gemma":0.003097673,"domain_scores_codex":[0.9978468,0.0008667408,0.0001775414,0.0002580631,0.0001599425,0.0006908221],"domain_scores_gemma":[0.947169,0.03458155,0.00806644,0.002028026,0.001881621,0.006273373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04069663,0.02660561,0.7586815,0.0004514754,0.001317443,0.001476428,0.001713659,0.02482189,0.02650012,0.03637124,0.003735296,0.07762869],"study_design_scores_gemma":[0.001807965,0.006864254,0.9540905,0.00007971997,0.0006114409,0.0001277779,0.003204791,0.01060378,0.0079667,0.01179072,0.002765183,0.00008722173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959447,0.00007460191,0.00009443623,0.0002701094,0.00001255284,0.00001651798,0.00005061174,0.000009617954,0.003526705],"genre_scores_gemma":[0.9989018,0.00002097293,0.00003400245,0.00003492797,0.0000104122,0.00000563696,0.00003341711,0.000002613789,0.0009561704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01493261,"threshold_uncertainty_score":0.04995453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404905426","doi":"10.1016/j.ribaf.2024.102692","title":"Achieving energy resilience: The joint role of environmental policy stringency and environmental awareness","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Resilience (materials science); Environmental policy; Joint (building); Energy (signal processing); Business; Environmental resource management; Natural resource economics; Environmental economics; Economics; Engineering; Mathematics","authors":[{"name":"Amal Dabbous","is_ca":false},{"name":"Alexandre Croutzet","is_ca":true},{"name":"Matthias Horn","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02124182830856108,"gpt":0.2905130098977349,"spread":0.2692711815891738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001430173,0.0002848678,0.0002946098,0.003020997,0.0003803246,0.002497154,0.0002144685,0.0003692223,0.003079328],"category_scores_gemma":[0.007433237,0.0001022585,0.0005453122,0.00512986,0.0007666704,0.002878725,0.001833602,0.0007923655,0.0003585345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359132,"about_ca_system_score_gemma":0.001690167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257528,"about_ca_topic_score_gemma":0.01255611,"domain_scores_codex":[0.9990877,0.0002851697,0.00007790167,0.0001241635,0.0002205336,0.0002044797],"domain_scores_gemma":[0.9950429,0.002122607,0.001701757,0.0002959609,0.0005805198,0.0002562472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008743042,0.00007696226,0.883967,0.000384381,0.0003046736,0.0003346156,0.0007927959,0.01984914,0.0003894404,0.02939807,0.00693283,0.0574827],"study_design_scores_gemma":[0.00001403177,0.00007998192,0.906054,0.0003265315,0.0001779267,0.0001787569,0.004668983,0.01004933,0.00156265,0.02385248,0.05296602,0.00006944028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141495,0.002422567,0.007163918,0.005704951,0.0000713884,0.00007288554,0.01232481,0.0001811537,0.05790871],"genre_scores_gemma":[0.9959486,0.0004584324,0.0009250054,0.0001102067,0.00001779393,0.00002289342,0.001958791,0.000008904898,0.0005494577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257528,"threshold_uncertainty_score":0.02500415,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392348198","doi":"10.1016/j.ribaf.2024.102298","title":"Return spillover across the carbon market and financial markets: A quantile-based approach","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Spillover effect; Financial market; Quantile; Stock market; Economics; Market risk; Stock (firearms); Financial economics; Monetary economics; Business; Econometrics; Finance; Microeconomics","authors":[{"name":"Fenghua Wen","is_ca":true},{"name":"Kangsheng Wang","is_ca":false},{"name":"Aiqing Zeng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04859819206609505,"gpt":0.3102329695424219,"spread":0.2616347774763269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004767413,0.000483486,0.001339011,0.002008739,0.000420927,0.002368247,0.001758385,0.00176871,0.007600566],"category_scores_gemma":[0.01114945,0.0004243976,0.00145559,0.002120498,0.0008176324,0.002150125,0.001444695,0.00174104,0.0004006936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009924273,"about_ca_system_score_gemma":0.0007817377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008444501,"about_ca_topic_score_gemma":0.00317033,"domain_scores_codex":[0.9989982,0.0004598938,0.00002620532,0.0001974526,0.0001342581,0.0001840141],"domain_scores_gemma":[0.9957634,0.002652277,0.0004974374,0.0004665646,0.0003840084,0.0002361725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004242345,0.0005958682,0.0994721,0.0001541355,0.001037673,0.0007362917,0.0003689706,0.6459086,0.001850309,0.159373,0.004769699,0.08530905],"study_design_scores_gemma":[0.00002974209,0.0001479332,0.03670264,0.00002195489,0.0001567408,0.00009134828,0.0001897586,0.9256587,0.0002939894,0.03556135,0.001107555,0.00003817005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6991863,0.002096006,0.2829457,0.002058201,0.0001625129,0.0001873196,0.001387316,0.0006645693,0.01131222],"genre_scores_gemma":[0.9899169,0.0003962186,0.00611813,0.0001020512,0.000134232,0.00003437648,0.0004561027,0.00005565653,0.002786518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008444501,"threshold_uncertainty_score":0.02542645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2062289876","doi":"10.1016/j.ribaf.2012.09.006","title":"Asset prices and exchange risk: Empirical evidence from Canada","year":2012,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Asset (computer security); Monetary economics; Inflation (cosmology); Stock exchange; Empirical evidence; Stock market; Value (mathematics); Exchange rate; Financial economics; Finance","authors":[{"name":"Lucie Samson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1875837203855857,"gpt":0.3443413424158497,"spread":0.1567576220302639,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001109661,0.000349331,0.000587441,0.002275205,0.003426346,0.002890388,0.001010922,0.0005761192,0.00526418],"category_scores_gemma":[0.008691506,0.0003275831,0.0005009747,0.01052655,0.001228516,0.0008968705,0.0008842486,0.001115131,0.0003455573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02385276,"about_ca_system_score_gemma":0.03129754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996767,"about_ca_topic_score_gemma":0.9980741,"domain_scores_codex":[0.999275,0.00005662365,0.00004966935,0.000103973,0.0003158665,0.0001987955],"domain_scores_gemma":[0.9899747,0.002753773,0.001562888,0.0003291824,0.004367899,0.001011527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009037422,0.0002234124,0.9343195,0.0002557093,0.0003536878,0.000670996,0.004097622,0.001535229,0.0003670333,0.007316751,0.01077543,0.03918094],"study_design_scores_gemma":[0.00009368546,0.00002964337,0.9855255,0.0001298384,0.0002395787,0.0001035908,0.003508026,0.0007572058,0.0002354033,0.0006398116,0.008688973,0.00004875597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749073,0.005985811,0.0001864555,0.00154781,0.00001979254,0.00002806297,0.00546937,0.00001062883,0.01184478],"genre_scores_gemma":[0.9844787,0.006422435,0.0003739618,0.0002064178,0.00001783785,0.000009284423,0.004535329,0.00001392605,0.00394217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02385276,"threshold_uncertainty_score":0.1730647,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405738542","doi":"10.1016/j.ribaf.2024.102728","title":"How do Chinese urban investment bonds affect its economic resilience? Evidence from double machine learning","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Affect (linguistics); Resilience (materials science); Investment (military); Psychological resilience; Bond; Economics; Business; Monetary economics; Finance; Psychology; Political science; Social psychology; Communication","authors":[{"name":"Fang Yan","is_ca":false},{"name":"Yinglin Liu","is_ca":false},{"name":"Yi Yang","is_ca":false},{"name":"Brian M. Lucey","is_ca":true},{"name":"Mohammad Zoynul Abedin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08748046122076861,"gpt":0.3362794336491092,"spread":0.2487989724283406,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001463591,0.0003964574,0.000449364,0.0009004878,0.0005526353,0.001036798,0.0005465494,0.0004105197,0.002401467],"category_scores_gemma":[0.006810943,0.0001693877,0.0005963939,0.001118226,0.0008207122,0.0009334717,0.001322728,0.0009490688,0.0002258849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102074,"about_ca_system_score_gemma":0.0007176491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02528212,"about_ca_topic_score_gemma":0.01631353,"domain_scores_codex":[0.9993871,0.0001986794,0.00003922885,0.0001293733,0.00008534476,0.0001603305],"domain_scores_gemma":[0.9958919,0.001406607,0.001451724,0.000361956,0.0004706355,0.0004172056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002046643,0.00009802602,0.9476929,0.00006929845,0.0003222584,0.000489841,0.0005312342,0.01598546,0.0002580994,0.007772997,0.002762581,0.02381271],"study_design_scores_gemma":[0.00003523842,0.0001244973,0.8793872,0.00005927813,0.0003150335,0.0001142307,0.001999408,0.1041891,0.000708316,0.008892533,0.004127135,0.0000481204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931379,0.0004411628,0.001787582,0.002060262,0.00002857755,0.00000936966,0.0004257495,0.00002703973,0.002082417],"genre_scores_gemma":[0.9993761,0.00009485074,0.00007588914,0.00004222562,0.000008343423,0.00000351115,0.0001763296,0.000001964504,0.0002207421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02528212,"threshold_uncertainty_score":0.0502699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407133454","doi":"10.1016/j.ribaf.2025.102777","title":"Towards green trade: Digital economy and export quality of green products","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"National Social Science Fund of China; Guangxi Talent Highland of Preservation and Deep Processing Research in Fruit and Vegetables; National Office for Philosophy and Social Sciences; Natural Science Foundation of Shandong Province; Anhui Office of Philosophy and Social Science","keywords":"Quality (philosophy); Business; Economics; International trade; Agricultural economics","authors":[{"name":"Xiaojing Ou","is_ca":false},{"name":"Weikang Zhao","is_ca":false},{"name":"Zhiqiang Zheng","is_ca":false},{"name":"Muhammad Mohiuddin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1659126831214549,"gpt":0.3380106656451664,"spread":0.1720979825237115,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001892633,0.0003217251,0.0003770808,0.001871574,0.000596482,0.007583125,0.0004914107,0.001444293,0.01627002],"category_scores_gemma":[0.01348961,0.0001893415,0.0006319766,0.003714373,0.003126805,0.01166055,0.001914974,0.002382921,0.0007547216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836073,"about_ca_system_score_gemma":0.0009243552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046219,"about_ca_topic_score_gemma":0.005414513,"domain_scores_codex":[0.9994469,0.0001631909,0.00003455293,0.0001361506,0.0001365464,0.00008266919],"domain_scores_gemma":[0.9852418,0.005612561,0.005072627,0.001373604,0.001879954,0.0008194683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004540197,0.0006044353,0.4398545,0.0003376405,0.0002629842,0.0003161254,0.002225955,0.01028364,0.001546426,0.4629932,0.0063212,0.07479984],"study_design_scores_gemma":[0.0000406022,0.0001639014,0.2933423,0.0003373502,0.0002135304,0.000178656,0.006468139,0.02426575,0.003137074,0.6539184,0.0178549,0.00007933674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621141,0.0050632,0.02036882,0.02428126,0.0001844655,0.00003841203,0.0008724272,0.000100089,0.08697726],"genre_scores_gemma":[0.9959152,0.00069595,0.0008289496,0.0002925382,0.00007421941,0.000003246606,0.00009944202,0.00001614504,0.002074308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627002,"threshold_uncertainty_score":0.05442864,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388461513","doi":"10.1016/j.ribaf.2023.102162","title":"Institutional investor heterogeneity and systemic financial risk: Evidence from China","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Ministry of Education of the People's Republic of China; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Systemic risk; Stock (firearms); China; Business; Institutional investor; Mediation; Moderation; Financial system; Financial market; Monetary economics; Finance; Economics; Financial crisis; Corporate governance; Political science","authors":[{"name":"Wenli Huang","is_ca":false},{"name":"Yuanhao Zhu","is_ca":false},{"name":"Shi Li","is_ca":true},{"name":"Yueling Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1130410631272998,"gpt":0.317165489919969,"spread":0.2041244267926692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001012483,0.0002169679,0.0003848391,0.001539173,0.0007000007,0.0009276749,0.0003955105,0.0003024237,0.001503817],"category_scores_gemma":[0.002343162,0.000156411,0.0003429019,0.002933801,0.001004089,0.0005344959,0.0007757646,0.0003378569,0.00009774009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000987741,"about_ca_system_score_gemma":0.001234357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07289404,"about_ca_topic_score_gemma":0.08385313,"domain_scores_codex":[0.9996167,0.00008133958,0.00003607571,0.00007190622,0.00007932452,0.0001145227],"domain_scores_gemma":[0.9950982,0.001162956,0.002259259,0.0003498066,0.0004736087,0.0006563477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023268,0.00004321024,0.9936399,0.0000222169,0.0001325948,0.000183954,0.0005337197,0.0002262237,0.000180234,0.0005403843,0.0001737696,0.004221433],"study_design_scores_gemma":[0.00001589548,0.00003590922,0.9982654,0.000008101158,0.0001001743,0.0000557561,0.0005044771,0.0004032993,0.0001062567,0.0002125185,0.0002863158,0.000005877098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991527,0.0002247611,0.00003810758,0.00008160213,0.000001038216,0.000002760195,0.00007877007,8.762297e-7,0.0004194115],"genre_scores_gemma":[0.999652,0.0001389724,0.00001452413,0.00001546869,0.000004260101,9.018732e-7,0.00009005412,4.24976e-7,0.00008326976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07289404,"threshold_uncertainty_score":0.1449395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318317774","doi":"10.1016/j.ribaf.2023.101891","title":"The dynamics of CEO equity vs. inside debt and firm performance","year":2023,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Debt; Extant taxon; Monetary economics; Capital structure; Executive compensation; Economics; Cash flow; Compensation (psychology); Empirical evidence; Business; Incentive; Finance; Microeconomics","authors":[{"name":"Susan Pollock","is_ca":true},{"name":"Lorne N. Switzer","is_ca":true},{"name":"Jun Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06418120139466638,"gpt":0.3245953484098423,"spread":0.260414147015176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467665,0.0002155199,0.0003114669,0.0006967464,0.0003089758,0.00170253,0.0003056437,0.0006805761,0.003122363],"category_scores_gemma":[0.009761828,0.0001169807,0.0002026085,0.000974528,0.0004630134,0.001173146,0.0006204409,0.0009639321,0.0005686073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006877771,"about_ca_system_score_gemma":0.0004485314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005814601,"about_ca_topic_score_gemma":0.006941593,"domain_scores_codex":[0.9995259,0.0001440818,0.00003237149,0.00007173981,0.00009216549,0.0001336195],"domain_scores_gemma":[0.9803088,0.01040326,0.006690207,0.000467397,0.0007863689,0.001343946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002468944,0.0002340599,0.972669,0.00004029946,0.00008853294,0.0002417423,0.0005619675,0.003709374,0.001484965,0.00325326,0.000748931,0.01672086],"study_design_scores_gemma":[0.000005134228,0.00007331414,0.9959908,0.00001358252,0.00001823438,0.00006473246,0.0002487109,0.001737829,0.0002961265,0.0009162982,0.0006260039,0.000009252995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922549,0.000810137,0.0003024444,0.0003898022,0.000009041559,0.000003906418,0.0002018807,0.000009052697,0.006018877],"genre_scores_gemma":[0.9987244,0.0002242043,0.00004858818,0.00003042923,0.00001722788,0.000001327056,0.0001449462,0.000002860218,0.0008058962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005814601,"threshold_uncertainty_score":0.01156151,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3083522517","doi":"10.1016/j.ribaf.2020.101320","title":"The role of financial journalists in the expectations channel of the monetary transmission mechanism","year":2020,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs","funders":"National Research Foundation","keywords":"Credibility; Monetary policy; Inflation (cosmology); Incentive; Globe; Economics; Inflation targeting; Monetary economics; Face (sociological concept); Order (exchange); Transmission (telecommunications); Political science; Finance; Sociology; Microeconomics; Computer science; Law; Psychology","authors":[{"name":"Monique Reid","is_ca":false},{"name":"Pierre L. Siklos","is_ca":true},{"name":"Timothy C. Guetterman","is_ca":false},{"name":"Du Plessis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0486571569356662,"gpt":0.2824538492147998,"spread":0.2337966922791336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005773498,0.0003271542,0.0006366325,0.00127474,0.001359466,0.008886747,0.0009343472,0.003097967,0.01097615],"category_scores_gemma":[0.05138278,0.000682404,0.0003539633,0.0008877267,0.002426231,0.009825801,0.001591484,0.002190206,0.001697546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008595835,"about_ca_system_score_gemma":0.001271059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161249,"about_ca_topic_score_gemma":0.0009449044,"domain_scores_codex":[0.9981237,0.001033476,0.00007989992,0.0002489076,0.0002840863,0.0002297805],"domain_scores_gemma":[0.9468131,0.04191729,0.004094454,0.00220699,0.002609044,0.002359052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001772499,0.0004149301,0.0312182,0.000329732,0.0001553168,0.001157203,0.005484256,0.009650322,0.009219671,0.8586454,0.01295329,0.06899924],"study_design_scores_gemma":[0.0005085025,0.0003677237,0.03608222,0.0001635273,0.0001531715,0.0006458506,0.003082487,0.06561473,0.004467959,0.8693374,0.01935261,0.0002238082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6925939,0.005357628,0.05922998,0.03966032,0.001212213,0.00007302791,0.0004398996,0.0003754544,0.2010575],"genre_scores_gemma":[0.9923607,0.0007213581,0.001863752,0.0005024525,0.0006169294,0.00001305071,0.00003275733,0.00004261378,0.003846411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097615,"threshold_uncertainty_score":0.03671885,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1988378977","doi":"10.1016/j.ribaf.2013.02.003","title":"Foreign banks and the export performance of emerging market firms: Evidence from India","year":2013,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Panel data; Promotion (chess); Business; Export performance; Monetary economics; Emerging markets; Foreign ownership; International economics; Financial system; Economics; Foreign direct investment; International trade; Finance; Macroeconomics","authors":[{"name":"Horatio M. Morgan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09864301043618623,"gpt":0.2810321674101516,"spread":0.1823891569739654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006204285,0.0001827884,0.0001896481,0.001310156,0.000612282,0.002098941,0.0004946259,0.0006658803,0.002716242],"category_scores_gemma":[0.00450902,0.0001669426,0.0003528693,0.003803473,0.001369055,0.0008009696,0.0009215925,0.00103708,0.0005096404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006566991,"about_ca_system_score_gemma":0.0008750983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05021824,"about_ca_topic_score_gemma":0.05660299,"domain_scores_codex":[0.9996182,0.0001008238,0.0000382904,0.00004131233,0.00007024805,0.0001310889],"domain_scores_gemma":[0.9857436,0.004925095,0.006415184,0.000461469,0.001324438,0.001130201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001965536,0.00009846455,0.9949166,0.00002301252,0.0000674379,0.0003031403,0.0006679932,0.0002340027,0.0001127403,0.0004286743,0.000454228,0.00249726],"study_design_scores_gemma":[0.00001459633,0.00005409718,0.9957581,0.00002198423,0.00009529966,0.0001566484,0.002781255,0.0002089545,0.000151383,0.0001520268,0.0005972132,0.000008516709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977088,0.0002552838,0.00001678322,0.0002726207,0.000003241723,0.000001545778,0.0001960596,0.000002480126,0.001543196],"genre_scores_gemma":[0.9991756,0.0003464332,0.00001125504,0.00003520331,0.000009545147,9.717043e-7,0.000174455,0.000001197849,0.0002454023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05021824,"threshold_uncertainty_score":0.09985191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3169171599","doi":"10.1016/j.ribaf.2021.101447","title":"Policy uncertainty, the use of derivatives: Evidence from U.S. bank holdingcompanies (BHCs)","year":2021,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Hedge; Quarter (Canadian coin); Sample (material); Index (typography); Business; Monetary economics; Economics; Selection (genetic algorithm); Newspaper; Accounting; Financial system; Econometrics; Actuarial science; Computer science","authors":[{"name":"Dung Viet Tran","is_ca":false},{"name":"M. Kabir Hassan","is_ca":false},{"name":"Sarah H. AlTalafha","is_ca":false},{"name":"Arja H. Turunen‐Red","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2221111901546874,"gpt":0.3596065954439123,"spread":0.1374954052892249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003641266,0.0001920756,0.0002329286,0.001118122,0.0008093497,0.00301314,0.0006116597,0.001390203,0.004782121],"category_scores_gemma":[0.03673201,0.000225908,0.0001620701,0.002178605,0.0009069251,0.001428028,0.0009149549,0.002030771,0.0004944114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001978761,"about_ca_system_score_gemma":0.002444769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08318518,"about_ca_topic_score_gemma":0.06777187,"domain_scores_codex":[0.9975708,0.0007769885,0.0001795636,0.0002025504,0.0009634761,0.000306592],"domain_scores_gemma":[0.9383944,0.03074723,0.02220347,0.001412513,0.005070004,0.00217243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008826534,0.0004755622,0.917899,0.0001832809,0.0001652443,0.0002895695,0.002260865,0.002041318,0.0004143072,0.007379365,0.02064781,0.04736097],"study_design_scores_gemma":[0.00007296605,0.0002399148,0.9607577,0.0003232007,0.0001648127,0.0001842874,0.005731824,0.002136664,0.001258386,0.003345413,0.02573591,0.00004900685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597281,0.006064288,0.0003662588,0.01571776,0.00007510265,0.00003205911,0.002606187,0.00002088432,0.01538948],"genre_scores_gemma":[0.9942175,0.002569143,0.00006691648,0.000780832,0.0000734612,0.000007076458,0.0007673153,0.000005680587,0.001511951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08318518,"threshold_uncertainty_score":0.165402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405680532","doi":"10.1016/j.ribaf.2024.102710","title":"Balancing ecology and finance: The impact of carbon performance on dividend payout policy","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Dividend payout ratio; Dividend; Economics; Ecology; Dividend policy; Monetary economics; Financial economics; Finance; Biology","authors":[{"name":"Ramzi Benkraiem","is_ca":false},{"name":"Olfa Berrich","is_ca":true},{"name":"Nadia Lakhal","is_ca":false},{"name":"Hamza Nizar","is_ca":false},{"name":"Faten Lakhal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05069135216145876,"gpt":0.3703699877529141,"spread":0.3196786355914553,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004223809,0.0003297388,0.000471514,0.001285135,0.001628199,0.008374956,0.000643847,0.004020364,0.009161534],"category_scores_gemma":[0.01688891,0.0002270499,0.0003399657,0.001413632,0.004822586,0.004826489,0.001901329,0.003119068,0.0004401506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006339928,"about_ca_system_score_gemma":0.007394365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977523,"about_ca_topic_score_gemma":0.0321947,"domain_scores_codex":[0.9978862,0.001188436,0.00003291344,0.0001510305,0.0003090462,0.0004322677],"domain_scores_gemma":[0.9863089,0.009319847,0.001458599,0.0002258088,0.001427901,0.00125908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007385133,0.0006316143,0.05507565,0.0001462639,0.0002124642,0.0004219013,0.0006427142,0.03125306,0.001326308,0.8303017,0.01617739,0.0630724],"study_design_scores_gemma":[0.0001990768,0.0002189891,0.07131759,0.0002595137,0.0001559291,0.0000623612,0.00377568,0.02760119,0.001920001,0.852302,0.04207804,0.0001097346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5435061,0.008071908,0.005858096,0.1688717,0.0007520431,0.00005049844,0.0003054994,0.00005407271,0.2725302],"genre_scores_gemma":[0.9935167,0.0009612316,0.0001760144,0.001946461,0.000248129,0.000007364563,0.00001778337,0.00001103841,0.003115372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01977523,"threshold_uncertainty_score":0.04599959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415592122","doi":"10.1016/j.ribaf.2025.103182","title":"Dynamic nexus of clean energy metals, energy commodities and traditional assets: Multidimensional techniques and portfolio analysis","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Nexus (standard); Clean energy; Portfolio; Energy (signal processing); Clean technology; Renewable energy","authors":[{"name":"Priya Malhotra","is_ca":false},{"name":"Sanjeev Kumar","is_ca":false},{"name":"Mariya Gubareva","is_ca":false},{"name":"José Zorro Mendes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04398502966952115,"gpt":0.299832226425872,"spread":0.2558471967563508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001769166,0.0006173053,0.0007941611,0.002552869,0.0004159914,0.002346848,0.0006553321,0.0009089559,0.002688493],"category_scores_gemma":[0.008530406,0.0003218821,0.0009737131,0.002590105,0.0005990358,0.002077607,0.001566955,0.001179011,0.0001928497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006768449,"about_ca_system_score_gemma":0.0005053441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005570604,"about_ca_topic_score_gemma":0.004063465,"domain_scores_codex":[0.9993728,0.0003247604,0.00004234008,0.0001267338,0.00007283915,0.00006064161],"domain_scores_gemma":[0.9972599,0.001568171,0.0006734338,0.0002150946,0.000115025,0.0001682965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000181949,0.000274163,0.2150097,0.0001351473,0.00111072,0.0008163005,0.0004436773,0.5533805,0.001521523,0.1467468,0.002165343,0.07821409],"study_design_scores_gemma":[0.00001161395,0.00006496372,0.02715571,0.00003739472,0.0000559528,0.00009037324,0.0001959041,0.9072411,0.0002869102,0.06358769,0.00124399,0.00002840996],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.831904,0.001652968,0.1589581,0.001487196,0.0000353892,0.00007868747,0.0008997261,0.00009426768,0.004889759],"genre_scores_gemma":[0.9842108,0.0005373093,0.01350812,0.00003273466,0.00003644669,0.00004785995,0.0004723287,0.00001107665,0.00114324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005570604,"threshold_uncertainty_score":0.01107633,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039101902","doi":"10.1016/j.ribaf.2012.03.002","title":"Financial guarantors’ executive compensation, charter value and risk-taking","year":2012,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Charter; Shareholder; Moral hazard; Incentive; Business; Risk appetite; Compensation (psychology); Agency cost; Finance; Principal–agent problem; Value (mathematics); Agency (philosophy); Actuarial science; Executive compensation; Accounting; Economics; Risk management; Microeconomics; Corporate governance; Computer science; Law; Political science","authors":[{"name":"Van Son Lai","is_ca":true},{"name":"Issouf Soumaré","is_ca":true},{"name":"Yan Sun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05333609667799184,"gpt":0.3057051260572275,"spread":0.2523690293792357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00304053,0.0002013193,0.0002556011,0.0009509375,0.0007344714,0.002751051,0.0004088712,0.0009517251,0.006807026],"category_scores_gemma":[0.02686763,0.0001826685,0.0002925876,0.000888346,0.001074975,0.002181482,0.0006808885,0.001609925,0.0008009464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008476462,"about_ca_system_score_gemma":0.0008791341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008154397,"about_ca_topic_score_gemma":0.01071917,"domain_scores_codex":[0.9993162,0.0001826031,0.0000911463,0.00007638901,0.0001462278,0.0001874518],"domain_scores_gemma":[0.9500306,0.01620827,0.02427345,0.001320971,0.003136557,0.005030235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004630832,0.0002877917,0.9686049,0.00002572246,0.0001165864,0.0003516934,0.001471833,0.001469873,0.0002358368,0.007930882,0.001997692,0.01704409],"study_design_scores_gemma":[0.00002290618,0.00009899872,0.9900242,0.00002465267,0.00004877972,0.0001615203,0.001273856,0.000855402,0.0001639253,0.005863674,0.001442257,0.00001980565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989862,0.0006740975,0.0002684656,0.0007943154,0.00002560711,0.000004396414,0.0001203545,0.00001068403,0.008240058],"genre_scores_gemma":[0.9979708,0.0001141921,0.00005048246,0.00002237169,0.00003093451,0.000001504426,0.00007868305,0.000003475525,0.001727499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008154397,"threshold_uncertainty_score":0.02277178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413849169","doi":"10.1016/j.ribaf.2025.103128","title":"The financial risk concern in China: A powerful predictor of stock market volatility","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Volatility (finance); Stock market; China; Economics; Business; Stock (firearms); Financial market; Financial economics; Monetary economics; Financial system; Finance","authors":[{"name":"Zijun Li","is_ca":false},{"name":"Feng Ma","is_ca":false},{"name":"Jixiang Zhang","is_ca":false},{"name":"Xiaozhou Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04480055889231178,"gpt":0.3168145244377078,"spread":0.272013965545396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006092251,0.0003664012,0.0002884381,0.00130137,0.0007821509,0.001019222,0.0004276478,0.0005667844,0.001584152],"category_scores_gemma":[0.001492029,0.0002140822,0.0004518732,0.001639912,0.000507668,0.0005122352,0.0006220589,0.0007438772,0.0002131794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007841831,"about_ca_system_score_gemma":0.001551674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03509207,"about_ca_topic_score_gemma":0.05114158,"domain_scores_codex":[0.9997234,0.00003817544,0.00003750865,0.00005589198,0.00007814298,0.00006678921],"domain_scores_gemma":[0.9970841,0.000323069,0.001312434,0.0001697696,0.000312812,0.0007977671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002067378,0.00002263705,0.9980893,0.000005404053,0.00003952086,0.0001183192,0.00008060678,0.0001757549,0.000160323,0.0000927459,0.0001394874,0.001055406],"study_design_scores_gemma":[0.000002673055,0.00002120827,0.9982567,0.000003184028,0.00002483085,0.00005869813,0.0001237719,0.001159343,0.00006713165,0.00009399385,0.0001831996,0.000005369393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989142,0.000132108,0.00007709402,0.0001866488,0.00000838472,0.000003242134,0.0001415139,0.000003505119,0.0005334046],"genre_scores_gemma":[0.9995227,0.00005171685,0.00002740889,0.00001792312,0.00001423482,0.000001345709,0.0001194947,0.000001054431,0.0002441761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03509207,"threshold_uncertainty_score":0.06977558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404733600","doi":"10.1016/j.ribaf.2024.102673","title":"Easing the squeeze: How do acquisitions relieve target firms’ financial constraints?","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Business; Finance; Monetary economics; Financial system; Economics","authors":[{"name":"Sadok El Ghoul","is_ca":true},{"name":"Zhaoran Gong","is_ca":false},{"name":"Omrane Guedhami","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04109764011885231,"gpt":0.2987875043669752,"spread":0.2576898642481228,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298755,0.0002622563,0.0006510377,0.0008324716,0.0007078177,0.00321701,0.0006823913,0.000987464,0.006477784],"category_scores_gemma":[0.0185839,0.000220124,0.0002692275,0.001248474,0.0007454125,0.004280009,0.001654172,0.001180825,0.0006262109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214524,"about_ca_system_score_gemma":0.001988188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008898069,"about_ca_topic_score_gemma":0.01393728,"domain_scores_codex":[0.9986899,0.0003949665,0.00009282483,0.0001586,0.0002953373,0.0003682971],"domain_scores_gemma":[0.9868448,0.002882506,0.00704663,0.0004911495,0.0007176658,0.002017365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009252958,0.002409911,0.6229808,0.0005446557,0.0004739693,0.000800576,0.003358931,0.01539542,0.003901352,0.02630145,0.01777789,0.3051297],"study_design_scores_gemma":[0.000248409,0.001308721,0.924879,0.0001985317,0.0001672923,0.0003229628,0.008688724,0.01989198,0.00256979,0.01335347,0.02828761,0.00008364537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769782,0.0009458849,0.001514,0.004727298,0.00002921488,0.00006851816,0.0004130996,0.0000864535,0.01523719],"genre_scores_gemma":[0.9976311,0.0002461502,0.000431348,0.0002683163,0.00003230865,0.00001601687,0.000182316,0.00001081048,0.001181694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008898069,"threshold_uncertainty_score":0.02167028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403147974","doi":"10.1016/j.ribaf.2024.102610","title":"Global Stock Markets during Covid-19: Did Rationality Prevail?","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph-Humber; University of Guelph","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Rationality; Economics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Stock (firearms); Business; Financial economics; Monetary economics; Virology; Medicine; Internal medicine; Philosophy; Geography","authors":[{"name":"Alireza Talebi","is_ca":true},{"name":"George Bragues","is_ca":true},{"name":"Seham Hadlul","is_ca":true},{"name":"Agam Sharma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07987326733750785,"gpt":0.3614948554165121,"spread":0.2816215880790043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003812387,0.0002280053,0.0003310731,0.0007201,0.000393799,0.001865134,0.0003870078,0.0005826717,0.001551824],"category_scores_gemma":[0.01181914,0.0001520274,0.0003281466,0.000642664,0.001211557,0.002590019,0.001128307,0.0009915541,0.0001631147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008699641,"about_ca_system_score_gemma":0.0006466607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009424699,"about_ca_topic_score_gemma":0.009039771,"domain_scores_codex":[0.9992732,0.0001872133,0.00006308855,0.0001537583,0.000130134,0.0001926302],"domain_scores_gemma":[0.9930134,0.002336446,0.003115238,0.000496716,0.000672409,0.0003657843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002441426,0.00005421117,0.9717477,0.00004257767,0.0001016056,0.0003436978,0.001274313,0.002610302,0.0003615176,0.007455786,0.0006873317,0.015077],"study_design_scores_gemma":[0.00001519544,0.000161951,0.9818896,0.00006567434,0.00004812192,0.0001355682,0.002879922,0.006217091,0.0006583295,0.005169607,0.002727987,0.00003102875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923354,0.0003645676,0.0006738673,0.000831067,0.00002351103,0.00002104984,0.0002914119,0.000005519815,0.00545351],"genre_scores_gemma":[0.999482,0.00008960211,0.00007754497,0.0000658385,0.0000183568,0.000003957112,0.0001318844,0.000001749242,0.0001291222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009424699,"threshold_uncertainty_score":0.02016205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4287448262","doi":"10.1016/j.ribaf.2022.101725","title":"On the dynamic capital structure of nations: Theory and empirics","year":2022,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Economics; External debt; Currency; Monetary economics; Debt; Inflation (cosmology); Internal debt; Foreign-exchange reserves; Fiat money; Foreign exchange risk; Debt-to-GDP ratio; Macroeconomics; Monetary policy","authors":[{"name":"Yinan Ni","is_ca":false},{"name":"James R. Barth","is_ca":false},{"name":"Yanfei Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03878577490086697,"gpt":0.3159645095605003,"spread":0.2771787346596333,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002694706,0.0005780297,0.001147368,0.002194876,0.0008499637,0.003078191,0.001370916,0.001585674,0.005721603],"category_scores_gemma":[0.01350946,0.0005093315,0.0006477828,0.00326036,0.005671497,0.008368926,0.001397424,0.002358808,0.0003183772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508871,"about_ca_system_score_gemma":0.001459517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01903771,"about_ca_topic_score_gemma":0.01048728,"domain_scores_codex":[0.9993006,0.0003617582,0.00002526001,0.000124318,0.00007234819,0.0001157052],"domain_scores_gemma":[0.986613,0.01130917,0.0009210702,0.0004595807,0.0004423834,0.0002548137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002841095,0.00003279934,0.008096969,0.00007194262,0.0000651318,0.00008822431,0.0002081959,0.09281346,0.00007489643,0.8858704,0.002305861,0.01034379],"study_design_scores_gemma":[0.00001314787,0.00001497667,0.003805013,0.00006765393,0.00002205599,0.00003521809,0.000134238,0.05921128,0.00006074583,0.9340813,0.002539562,0.00001497616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5715594,0.02779331,0.2582989,0.0348356,0.0004082894,0.0001176735,0.001629048,0.0001479203,0.10521],"genre_scores_gemma":[0.9801804,0.009860588,0.005895859,0.0003816906,0.0002637964,0.00004972999,0.0002716602,0.00002291555,0.00307346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01903771,"threshold_uncertainty_score":0.03785384,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416579365","doi":"10.1016/j.ribaf.2025.103228","title":"Sovereign credit ratings, fiscal burden and corporate investment policies: An international evidence","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Downgrade; Sovereign credit; Credit rating; Endogeneity; Corporate governance; Debt; Investment (military); Cost of capital; Credit risk","authors":[{"name":"Nhan Huynh","is_ca":false},{"name":"Hoa Phan","is_ca":false},{"name":"Kyle Paquette","is_ca":true},{"name":"Phuong Thi Thu Vu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1440041185963189,"gpt":0.3576814570522675,"spread":0.2136773384559486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00222607,0.0003423912,0.0005063083,0.001464148,0.0004624429,0.002338494,0.000374577,0.0009292738,0.006900975],"category_scores_gemma":[0.0102388,0.0002037333,0.0004970554,0.003643876,0.00127006,0.001443409,0.0008409863,0.001774781,0.0007723516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004753415,"about_ca_system_score_gemma":0.0006010271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009826691,"about_ca_topic_score_gemma":0.01022428,"domain_scores_codex":[0.999316,0.0002513301,0.00006736812,0.0001063265,0.0001549235,0.0001040609],"domain_scores_gemma":[0.9784545,0.0088926,0.008913067,0.0009697313,0.001717734,0.001052342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001791025,0.0003812945,0.9373031,0.0004307101,0.0006011776,0.000448419,0.0006099551,0.001333257,0.0002360527,0.01362702,0.008603436,0.03463456],"study_design_scores_gemma":[0.0001781898,0.0002732776,0.9681989,0.0004913712,0.0008760107,0.0004345672,0.001580551,0.001057646,0.0005866413,0.005835882,0.02045326,0.00003376786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901768,0.02948995,0.0008519901,0.005740517,0.0001574294,0.00003133087,0.003383012,0.00002114757,0.05855665],"genre_scores_gemma":[0.9888553,0.007713465,0.0001223043,0.0002313899,0.0001486655,0.000005316273,0.001196641,0.0000062419,0.001720706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009826691,"threshold_uncertainty_score":0.02308601,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403085349","doi":"10.1016/j.ribaf.2024.102615","title":"OCI information and analysts’ forecast accuracy: Evidence from US commercial banks","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University; École de Technologie Supérieure; HEC Montréal","funders":"University of Carthage","keywords":"Business; Econometrics; Economics; Accounting; Actuarial science","authors":[{"name":"Imen Fredj","is_ca":false},{"name":"Marjène Rabah Gana","is_ca":true},{"name":"Samir Trabelsi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05099041625437332,"gpt":0.3225370882273561,"spread":0.2715466719729827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004227685,0.0002836726,0.000320886,0.001933162,0.0004009544,0.002486771,0.0004403169,0.001259826,0.002635795],"category_scores_gemma":[0.04250828,0.0002736556,0.0003096555,0.003101013,0.000536409,0.001790936,0.0006048688,0.001181899,0.0007875597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007822038,"about_ca_system_score_gemma":0.000747256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04954334,"about_ca_topic_score_gemma":0.03606145,"domain_scores_codex":[0.9986666,0.0003367611,0.0001767425,0.0001946035,0.0004798181,0.0001454859],"domain_scores_gemma":[0.8951622,0.05460274,0.03330551,0.00357604,0.01187286,0.001480566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003412305,0.0001076856,0.9826958,0.00002951127,0.0001141104,0.0000656328,0.0004795814,0.001422531,0.0001259616,0.000261733,0.002836039,0.01152015],"study_design_scores_gemma":[0.00003551844,0.00006773853,0.9906088,0.00005386442,0.0001356017,0.00006230565,0.0009874286,0.004781086,0.0004186478,0.0007957502,0.002030372,0.00002290096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921199,0.0009465293,0.0001982576,0.00155373,0.00003047287,0.000005378817,0.0009068497,0.00001923381,0.004219662],"genre_scores_gemma":[0.9979339,0.0006128197,0.00006071036,0.0001212511,0.00006269411,0.000002292212,0.0007827132,0.000006200517,0.000417497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04954334,"threshold_uncertainty_score":0.09850997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7106116386","doi":"10.1016/j.ribaf.2025.103217","title":"Corrigendum to “Credit efficiency: Another early warning indicator for systemic risk” [Res. Int. Bus. Financ. 81 (2026) 103192]","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Warning system; Early warning system; Early warning score; Warning signs","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.05712885205045325,"gpt":0.3159473302633073,"spread":0.258818478212854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002362994,0.002183991,0.002688425,0.004271699,0.002905726,0.004128738,0.00353214,0.009600244,0.181142],"category_scores_gemma":[0.02686836,0.0009911456,0.002726293,0.002787677,0.00169785,0.002277388,0.002756767,0.005705353,0.1216067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005162488,"about_ca_system_score_gemma":0.003228456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05035063,"about_ca_topic_score_gemma":0.06131009,"domain_scores_codex":[0.9963183,0.0005205621,0.0004076894,0.0006969994,0.001630231,0.0004261348],"domain_scores_gemma":[0.9792075,0.003932671,0.0007897584,0.0007919625,0.01448959,0.0007885978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001116388,0.000005523626,0.00005151854,0.00004010386,0.000006071041,0.00003933219,0.000006994861,0.00001959095,0.00002453995,0.0003304116,0.9976984,0.001766347],"study_design_scores_gemma":[0.00006754873,0.0000417653,0.003245134,0.0002323229,0.00005167833,0.0001250553,0.00007772631,0.0004780469,0.00034574,0.003034742,0.9922028,0.000097539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003624703,0.004756948,0.001066647,0.2364598,0.7196913,0.0001697605,0.005210724,0.001691229,0.03059107],"genre_scores_gemma":[0.01268044,0.01002543,0.001793635,0.1738775,0.2269425,0.0004973062,0.0058454,0.001063623,0.5672742],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.181142,"threshold_uncertainty_score":0.6059804,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399712254","doi":"10.1016/j.ribaf.2024.102441","title":"National legislatures and corporate transparency","year":2024,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transparency (behavior); Legislature; Business; Accounting; Financial system; Economics; Political science; Law","authors":[{"name":"Richard W. Carney","is_ca":false},{"name":"Ruiyuan Chen","is_ca":true},{"name":"Sadok El Ghoul","is_ca":true},{"name":"Omrane Guedhami","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05801231152294142,"gpt":0.3117680705667995,"spread":0.2537557590438581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004549563,0.0001001046,0.0002608118,0.001514577,0.001283107,0.002238954,0.0003314126,0.00046366,0.003774779],"category_scores_gemma":[0.02970139,0.0001634631,0.000269179,0.002032629,0.002036275,0.001421215,0.001436688,0.00115136,0.0002404919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373485,"about_ca_system_score_gemma":0.001489572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004931834,"about_ca_topic_score_gemma":0.006949914,"domain_scores_codex":[0.9954749,0.001700564,0.0003827695,0.0005001418,0.001052157,0.0008895572],"domain_scores_gemma":[0.9238434,0.02127731,0.04631368,0.00292044,0.003184121,0.002461005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000179634,0.0001324552,0.9352749,0.0001009835,0.0001026178,0.0001797659,0.002619909,0.001703484,0.0007978834,0.03648262,0.001031269,0.0213944],"study_design_scores_gemma":[0.0000243579,0.0001060961,0.9780577,0.0001050341,0.00005141129,0.0001217349,0.002216223,0.001668576,0.0007051093,0.008532819,0.008383276,0.00002775013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710113,0.0004846539,0.001872997,0.001150358,0.00002586948,0.0000371661,0.0002477288,0.0000226646,0.02514723],"genre_scores_gemma":[0.9993375,0.0000444402,0.0001546904,0.00005469278,0.00001091249,0.000006940315,0.0000591902,0.000002547845,0.0003290875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004931834,"threshold_uncertainty_score":0.02406067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406894088","doi":"10.1016/j.ribaf.2025.102786","title":"Leger’s most reputable companies in Canada: Do customer views influence stock returns?","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Stock (firearms); Business; Accounting; Economics; Engineering","authors":[{"name":"Greg Filbeck","is_ca":false},{"name":"Xin Zhao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05064438006751373,"gpt":0.3089623404779996,"spread":0.2583179604104859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00110861,0.0001624343,0.0003438929,0.00107201,0.005310225,0.004992035,0.001162703,0.001094853,0.007420048],"category_scores_gemma":[0.00781336,0.0002352484,0.0003174434,0.002604863,0.001303297,0.001250074,0.0008896294,0.002031954,0.0007397605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03093808,"about_ca_system_score_gemma":0.04710106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956862,"about_ca_topic_score_gemma":0.9983859,"domain_scores_codex":[0.9986989,0.0001170177,0.00003266944,0.0001272535,0.0004403361,0.0005837746],"domain_scores_gemma":[0.9885581,0.00113218,0.001728579,0.0001996908,0.004640658,0.003740906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003036136,0.0002002922,0.9023663,0.00005822304,0.0001314641,0.0004230241,0.01193905,0.0003724371,0.0002342449,0.004764764,0.04115892,0.03804777],"study_design_scores_gemma":[0.00002384933,0.00002876251,0.9495575,0.00009441043,0.00006379149,0.00007150416,0.02766278,0.0004029874,0.0002139773,0.0003672584,0.0214722,0.00004104322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572983,0.001745671,0.0001002192,0.01643869,0.00007631969,0.00002540558,0.002044504,0.00001676892,0.02225404],"genre_scores_gemma":[0.9884173,0.0005062274,0.00007035366,0.00100615,0.00001596854,0.000004617856,0.0004730586,0.00001272818,0.009493416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03093808,"threshold_uncertainty_score":0.2244725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415214731","doi":"10.1016/j.ribaf.2025.103160","title":"Hedge funds and sentiment-induced overpricing: Arbitrageurs or speculators?","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"Hedge fund; Speculation; Portfolio; Arbitrage; Risk arbitrage; Hedge; Yield (engineering); Financial crisis","authors":[{"name":"Maher Kooli","is_ca":true},{"name":"Min Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09032095098367349,"gpt":0.3335426912600426,"spread":0.2432217402763691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001438103,0.0003047777,0.0006283291,0.0004260223,0.0002990382,0.00297364,0.0005153634,0.00225633,0.005119164],"category_scores_gemma":[0.009415818,0.0002363432,0.0003206579,0.0003431069,0.001082427,0.004518501,0.0006637878,0.001161186,0.0003764821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980889,"about_ca_system_score_gemma":0.0003154288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003558736,"about_ca_topic_score_gemma":0.0002666164,"domain_scores_codex":[0.9998088,0.0000544223,0.00001712116,0.00004099327,0.00003119347,0.00004739248],"domain_scores_gemma":[0.9967176,0.001436643,0.001108344,0.0002488366,0.0002490453,0.0002395195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001319873,0.0005016535,0.03835782,0.0003080114,0.0003073995,0.001590775,0.0007322687,0.00868107,0.01210817,0.8371474,0.009325374,0.0896202],"study_design_scores_gemma":[0.0002540896,0.0002562584,0.03754053,0.0001371201,0.0001905704,0.0007171436,0.0007084892,0.05793113,0.003719437,0.8913136,0.007165407,0.00006615838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566714,0.006529589,0.007822445,0.008755261,0.0002532212,0.00001313296,0.00005881802,0.00004955219,0.01984666],"genre_scores_gemma":[0.9950637,0.001336556,0.0003946783,0.0002516194,0.0002797602,0.00000428186,0.00002099739,0.000008754017,0.002639679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005119164,"threshold_uncertainty_score":0.01712537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415980018","doi":"10.1016/j.ribaf.2025.103192","title":"Credit efficiency: Another early warning indicator for systemic risk","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Warning system; Deleveraging; Systemic risk; Credit risk; Balance sheet; Financial crisis; Leverage (statistics); Boom; Credit history; Credit crunch","authors":[{"name":"Chenyao Tang","is_ca":false},{"name":"Adelphe Ekponon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03939281858847142,"gpt":0.308816660832064,"spread":0.2694238422435926,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002380845,0.0003982368,0.0004429549,0.003424315,0.0002068323,0.001435207,0.0004386348,0.0008745668,0.002138944],"category_scores_gemma":[0.01189413,0.0001390321,0.0003216959,0.001970344,0.0007725047,0.00193331,0.0009666539,0.0008799483,0.0004163948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005425026,"about_ca_system_score_gemma":0.0003623366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843659,"about_ca_topic_score_gemma":0.001459633,"domain_scores_codex":[0.9991142,0.0002439823,0.0001235549,0.0001463897,0.0002703446,0.0001015401],"domain_scores_gemma":[0.9864519,0.005500362,0.005071406,0.000710398,0.00165099,0.0006150125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002727031,0.0001838449,0.9035494,0.0001552318,0.000190419,0.0002644513,0.0004062993,0.02040494,0.002904298,0.009703071,0.004232355,0.05773307],"study_design_scores_gemma":[0.0000303541,0.0002935514,0.9108226,0.0001288523,0.00008888073,0.0005776527,0.0004782264,0.06110089,0.003608637,0.0160474,0.006742874,0.00008020972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206025,0.001888261,0.05457032,0.001481696,0.00007565752,0.0001154003,0.002705695,0.0002653299,0.01829513],"genre_scores_gemma":[0.9959889,0.0001878029,0.002094765,0.0000537559,0.00003135148,0.00001101858,0.00068206,0.000007638255,0.000942588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003424315,"threshold_uncertainty_score":0.0125913,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413276307","doi":"10.1016/j.ribaf.2025.103105","title":"Does materiality matter in ESG investing?","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Université du Québec à Montréal","keywords":"Materiality (auditing); Business; Economics; Financial system; Aesthetics; Art","authors":[{"name":"Salma Ben Amor","is_ca":false},{"name":"Maher Kooli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05216062113026139,"gpt":0.3235943310456791,"spread":0.2714337099154178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003110055,0.0002139545,0.0004304611,0.001067671,0.0007563153,0.004602928,0.0006483701,0.002028923,0.01969066],"category_scores_gemma":[0.02451373,0.0002527406,0.0004226202,0.0007998412,0.001946568,0.004922712,0.0008996886,0.002115641,0.00161425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104687,"about_ca_system_score_gemma":0.001040793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179244,"about_ca_topic_score_gemma":0.003183425,"domain_scores_codex":[0.9988105,0.0003065306,0.0001055932,0.0001540663,0.0002709156,0.0003524507],"domain_scores_gemma":[0.9817353,0.006993765,0.006590216,0.0006633257,0.001629273,0.002388129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00216359,0.001151988,0.6692579,0.0005456796,0.0005268545,0.001795009,0.001686377,0.004810353,0.001622493,0.2117262,0.01346382,0.09124982],"study_design_scores_gemma":[0.0002782662,0.001346427,0.6244411,0.000916746,0.0005925961,0.001222639,0.006003908,0.005160576,0.002392539,0.3023633,0.05516758,0.0001143507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778561,0.004881538,0.002666503,0.01933715,0.0004058917,0.000052371,0.0007182468,0.00007687013,0.09400522],"genre_scores_gemma":[0.993523,0.0005686741,0.0001799502,0.0005190453,0.000160846,0.000004944874,0.0001584185,0.0000213514,0.004863777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969066,"threshold_uncertainty_score":0.06587183,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408350552","doi":"10.1016/j.ribaf.2025.102867","title":"How do women directors ensure corporate ethics? The role of board tenure","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Business; Accounting; Corporate governance; Business ethics; Public relations; Finance; Political science","authors":[{"name":"Nancy D. Ursel","is_ca":true},{"name":"Ligang Zhong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1833579967177356,"gpt":0.3825525408880736,"spread":0.1991945441703379,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01210856,0.0002073492,0.000286133,0.0008142596,0.004663558,0.00496773,0.0006474643,0.001280388,0.009492902],"category_scores_gemma":[0.0487778,0.0001985881,0.0001741314,0.0006015965,0.004955996,0.00339474,0.002988572,0.001481903,0.001163953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003643478,"about_ca_system_score_gemma":0.006731825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006385918,"about_ca_topic_score_gemma":0.01235765,"domain_scores_codex":[0.9876662,0.007294945,0.0002548759,0.000702812,0.001793949,0.002287043],"domain_scores_gemma":[0.9653533,0.01145085,0.008463876,0.001611174,0.003880862,0.009240028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003271577,0.0004391065,0.3753178,0.0003958529,0.0001841712,0.0007990213,0.06983233,0.001004911,0.004707745,0.12307,0.04754849,0.3763734],"study_design_scores_gemma":[0.0001281875,0.0006182917,0.4804241,0.001110409,0.0001074191,0.0006911574,0.1005061,0.00163693,0.003678635,0.09434454,0.3166075,0.0001466102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7611341,0.003520275,0.007159878,0.09639742,0.0009591699,0.00009792625,0.00009425857,0.0000627725,0.1305742],"genre_scores_gemma":[0.9909265,0.0002749435,0.0005239831,0.002176232,0.0001216787,0.00001655442,0.00001093524,0.00001159398,0.005937554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210856,"threshold_uncertainty_score":0.06403697,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011065132","doi":"10.1016/j.ribaf.2004.11.001","title":"Bond elasticity under liquidation risk","year":2005,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bond; Bond valuation; Portfolio; Valuation (finance); Economics; Elasticity (physics); Government bond; Credit risk; Econometrics; Interest rate; Financial economics; Monetary economics; Actuarial science; Finance","authors":[{"name":"Gady Jacoby","is_ca":true},{"name":"Ilona Shiller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07381910766632659,"gpt":0.3097550169719119,"spread":0.2359359093055853,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003055901,0.0003406108,0.001013791,0.0014668,0.0004653257,0.002360041,0.0007114154,0.001571032,0.008951223],"category_scores_gemma":[0.01646706,0.0004306353,0.0005170408,0.0008404696,0.001669833,0.006214736,0.001226015,0.002745015,0.0007126494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008758064,"about_ca_system_score_gemma":0.0004854531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464549,"about_ca_topic_score_gemma":0.0004814819,"domain_scores_codex":[0.9994711,0.0001641883,0.00003064002,0.00009308829,0.00009400181,0.0001470125],"domain_scores_gemma":[0.9894623,0.006102603,0.001883149,0.0008359849,0.000857021,0.0008589159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003424876,0.0001304966,0.008193305,0.00007118202,0.00004324895,0.0003672893,0.0003150051,0.06694554,0.003169029,0.9045531,0.00328896,0.01258049],"study_design_scores_gemma":[0.00004933553,0.00007029427,0.007228186,0.00002770266,0.00003870178,0.0002618133,0.000342223,0.2126403,0.001081217,0.7769834,0.00122697,0.000049823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200402,0.001129756,0.0463874,0.004486708,0.0001328167,0.00001807097,0.0002214884,0.000200126,0.02738333],"genre_scores_gemma":[0.9936345,0.0004354315,0.0006810128,0.00009818258,0.0001274247,0.000008740633,0.00008909548,0.0000366948,0.00488875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008951223,"threshold_uncertainty_score":0.02994478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7116429809","doi":"10.1016/j.ribaf.2025.103255","title":"Has the regulation of high quality liquid asset adequacy ratio improved the risk-taking of small and medium-sized banks?--Empirical evidence from China","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences; National Natural Science Foundation of China; Shandong University","keywords":"Market liquidity; Asset (computer security); Proxy (statistics); Asset quality; Quarter (Canadian coin); Panel data; Quality (philosophy); China","authors":[{"name":"Hongfeng Peng","is_ca":false},{"name":"Zimin Liang","is_ca":false},{"name":"Zhichao Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1412719803987094,"gpt":0.366809285754109,"spread":0.2255373053553996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001784968,0.0001854399,0.0003644797,0.0004944726,0.0004053929,0.001424305,0.0005222196,0.000710604,0.001826997],"category_scores_gemma":[0.003185924,0.0001620339,0.0005588772,0.0004603886,0.001123692,0.000651178,0.0004688768,0.0005171827,0.0002361446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230425,"about_ca_system_score_gemma":0.002107035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025491,"about_ca_topic_score_gemma":0.0165748,"domain_scores_codex":[0.99909,0.0001802737,0.00009131775,0.000199524,0.0002218417,0.0002170256],"domain_scores_gemma":[0.9953341,0.00072542,0.002267258,0.0003972177,0.0008113029,0.0004647345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005615557,0.000381938,0.9621052,0.00007940368,0.0002748635,0.0004103762,0.0007313783,0.001509993,0.004626894,0.004073928,0.001053696,0.02419076],"study_design_scores_gemma":[0.00004108722,0.0001737056,0.9941181,0.00001491067,0.0001509009,0.00006384253,0.0003610993,0.001827572,0.001362972,0.0007342325,0.001136866,0.0000148053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970649,0.0003504672,0.0002513078,0.0005240391,0.00001430525,0.00001245213,0.00007628009,0.00001548145,0.001690886],"genre_scores_gemma":[0.9993147,0.0001073062,0.00004806602,0.00006800619,0.00001104099,0.000002284107,0.00004498691,0.000001327691,0.0004022884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02025491,"threshold_uncertainty_score":0.04027402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413276317","doi":"10.1016/j.ribaf.2025.103101","title":"Post-traumatic growth of CEOs and corporate giving: Evidence from the Korean War","year":2025,"lang":"en","type":"article","venue":"Research in International Business and Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Business; Accounting; Monetary economics; Economics","authors":[{"name":"Seunghyun Cho","is_ca":false},{"name":"Jinhan Pae","is_ca":false},{"name":"Choong‐Yuel Yoo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07730080477540134,"gpt":0.3071103755926629,"spread":0.2298095708172616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001969873,0.0002490767,0.0002742671,0.0009315658,0.002316998,0.002450527,0.0008588883,0.001158013,0.005959958],"category_scores_gemma":[0.01203302,0.0003169759,0.000140122,0.001717338,0.003099493,0.001610534,0.002033285,0.00253322,0.0006633378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108294,"about_ca_system_score_gemma":0.001556799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02305619,"about_ca_topic_score_gemma":0.03403825,"domain_scores_codex":[0.9991203,0.0003114288,0.00004421298,0.00007129529,0.0001101238,0.0003425867],"domain_scores_gemma":[0.9840403,0.003704313,0.006910322,0.0009134277,0.001551578,0.002880056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008318575,0.001274027,0.9305571,0.00009147026,0.00009640725,0.001247952,0.04555783,0.00008451415,0.0004542347,0.003223709,0.002312058,0.01426881],"study_design_scores_gemma":[0.00002098159,0.000159764,0.878106,0.00008248639,0.00003037635,0.0003308899,0.1176016,0.0000408615,0.0002308445,0.0005386211,0.002840149,0.00001750753],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969708,0.0002565251,0.00001226175,0.0006830877,0.00001614432,0.000003702132,0.00007033286,4.959921e-7,0.001986631],"genre_scores_gemma":[0.9986262,0.0005217261,0.00001116194,0.000198502,0.00001861725,0.000005499776,0.00009538775,0.000002046696,0.0005209271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02305619,"threshold_uncertainty_score":0.04584396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}