{"meta":{"query_hash":"c25b8b286812","filters":{"venue":"International Journal of Financial Research"},"cohort_total":872,"direct_labels_cover":1,"predictions_cover":872,"exported":872,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/c25b8b286812","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Financial+Research"},"results":[{"id":"W1522288658","doi":"10.5430/ijfr.v6n3p78","title":"Auditing Subsequent Events from the Perspective of Auditors: Study from Jordan","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Accounting; Sample (material); Operational auditing; Business; Generally Accepted Auditing Standards; Walk-through test; Population; Test (biology); Perspective (graphical); Compliance (psychology); Internal audit; Psychology; External auditor; Joint audit; Medicine; Computer science; Environmental health; Accounting information system; Social psychology","score_opus":0.05843751107509046,"score_gpt":0.34944030635429596,"score_spread":0.2910027952792055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522288658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989692,0.00010298662,0.000051656232,0.000105379215,0.000002595528,0.000030667336,0.000014765966,8.497485e-7,0.0007218524],"genre_scores_gemma":[0.9974377,0.00069643784,0.00018777138,0.00030255225,0.0000203133,0.00004038376,0.000039421342,0.0000026262164,0.001272775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836487,0.00058876985,0.00015439781,0.000113218906,0.00035280653,0.000425976],"domain_scores_gemma":[0.994214,0.0011539237,0.0018861861,0.00018926893,0.0014896598,0.0010668763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002708051,0.0003116493,0.00045678136,0.0014342525,0.0026799582,0.0026994708,0.00049691356,0.00079423946,0.0018010784],"category_scores_gemma":[0.0048041046,0.00052373175,0.00028837816,0.002208352,0.0009154145,0.0014100845,0.0010932429,0.0010634961,0.00040307443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026172245,0.0025763805,0.6577118,0.0003657048,0.000022389766,0.0048682764,0.30278444,0.00014792755,0.001575461,0.000672643,0.0017514952,0.027261758],"study_design_scores_gemma":[0.000029898385,0.0008679818,0.31232175,0.00024494206,0.000026030799,0.0030516398,0.6700797,0.00029964856,0.00068336976,0.00016268011,0.01219478,0.00003760731],"about_ca_topic_score_codex":0.010022093,"about_ca_topic_score_gemma":0.020024035,"teacher_disagreement_score":0.010022093,"about_ca_system_score_codex":0.0017445841,"about_ca_system_score_gemma":0.0036351164,"threshold_uncertainty_score":0.019927561},"labels":[],"label_agreement":null},{"id":"W1566298712","doi":"10.5430/ijfr.v6n3p49","title":"Contribution of Islamic Banks in Financing Small and Medium Enterprises in the Kingdom of Bahrain","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Speculation; Islam; Promotion (chess); Government (linguistics); Business; Finance; Small and medium-sized enterprises; Unemployment; Economics; Economic growth; Politics","score_opus":0.05918681018211178,"score_gpt":0.33716803128470657,"score_spread":0.27798122110259477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566298712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96675915,0.0032371625,0.00034121328,0.0036740762,0.00006902318,0.00007024038,0.000044978282,0.000012935177,0.025791194],"genre_scores_gemma":[0.9971251,0.0007563748,0.0001747927,0.00011027444,0.000014868365,0.000004735584,0.0000071917225,0.0000012057516,0.0018055108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991716,0.00037202897,0.00004356182,0.000036736365,0.00014484135,0.00023116134],"domain_scores_gemma":[0.99553704,0.0013746573,0.0010789691,0.00011974627,0.0007740464,0.0011155329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019932978,0.00016671827,0.000101927406,0.00080434035,0.00097398536,0.0033203491,0.00036645395,0.00085515185,0.0027644525],"category_scores_gemma":[0.0045364285,0.00017785313,0.00008727908,0.00059856666,0.00081612816,0.0007418752,0.0009453015,0.0006235627,0.00026521386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010743336,0.0008509842,0.5290222,0.0011047423,0.00013954182,0.009983696,0.03142647,0.0046262154,0.0080266055,0.11789154,0.014256866,0.28159675],"study_design_scores_gemma":[0.00022238652,0.00083900825,0.68638676,0.0020571894,0.00029884165,0.004528163,0.063179865,0.008998986,0.005204304,0.012173876,0.21600701,0.00010366481],"about_ca_topic_score_codex":0.0073884097,"about_ca_topic_score_gemma":0.013913667,"teacher_disagreement_score":0.0073884097,"about_ca_system_score_codex":0.002351138,"about_ca_system_score_gemma":0.00498118,"threshold_uncertainty_score":0.01705873},"labels":[],"label_agreement":null},{"id":"W1578226994","doi":"10.5430/ijfr.v8n4p148","title":"Hedge Fund Return Dynamics: Long Memory and Regime Switching","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hedge fund; Autoregressive fractionally integrated moving average; Volatility (finance); Econometrics; Economics; Markov chain; Long memory; Persistence (discontinuity); Absolute return; Financial economics; Monetary economics; Mathematics; Finance; Statistics; Microeconomics; Investment performance","score_opus":0.12185542402739574,"score_gpt":0.363012183914626,"score_spread":0.24115675988723023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578226994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436117,0.0009205295,0.05228369,0.0004552614,0.000020983634,0.00001534597,0.00011231747,0.0000725006,0.0025076026],"genre_scores_gemma":[0.9985624,0.00018500659,0.00080586766,0.000016958284,0.000013908694,0.000004501119,0.000032176533,0.0000035268995,0.00037564887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997435,0.0000637289,0.000016079875,0.000077141456,0.00004694201,0.000052549698],"domain_scores_gemma":[0.99831045,0.000743678,0.0006455624,0.00013123579,0.00008539994,0.000083521874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010059328,0.00026769482,0.00053702906,0.0007187308,0.0002553604,0.0011478442,0.00046505677,0.00082631706,0.0010621804],"category_scores_gemma":[0.005041258,0.00021542706,0.0006209559,0.0004685518,0.0006893799,0.0016006449,0.0006427247,0.00083959836,0.00010742298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000563488,0.00030714713,0.2879139,0.00024304591,0.00083658943,0.0026973495,0.0018046318,0.325837,0.019147756,0.2756015,0.0018593199,0.083188266],"study_design_scores_gemma":[0.000027147948,0.0001481844,0.073641025,0.000038735994,0.00011713745,0.00066108577,0.00023762869,0.84643847,0.0012886676,0.07636714,0.0009693349,0.00006535905],"about_ca_topic_score_codex":0.0018967593,"about_ca_topic_score_gemma":0.0011150255,"teacher_disagreement_score":0.0018967593,"about_ca_system_score_codex":0.0004429338,"about_ca_system_score_gemma":0.00026182685,"threshold_uncertainty_score":0.005319953},"labels":[],"label_agreement":null},{"id":"W1787326613","doi":"10.5430/ijfr.v6n4p68","title":"Factors Affecting Intention to Use Facebook-Banking of Generation Y in Vietnam","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Generation y; Business; Order (exchange); Marketing; Technology acceptance model; Service (business); Finance; Computer science; Usability","score_opus":0.5802422218208783,"score_gpt":0.5342033623526116,"score_spread":0.04603885946826669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1787326613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993086,0.00002613842,0.00001600515,0.00006298083,0.0000019969275,0.0000045943157,0.000015311962,3.330162e-7,0.0005640197],"genre_scores_gemma":[0.99960357,0.000042046977,0.000018663877,0.000021964004,8.8024e-7,0.000003667408,0.000020488114,4.132572e-7,0.00028836238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997894,0.00006223297,0.00001700479,0.000021814309,0.000032210846,0.000077285724],"domain_scores_gemma":[0.9986639,0.00038115936,0.00038229718,0.00004015848,0.00016370643,0.00036883968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043830517,0.000117487645,0.00011785108,0.00029251457,0.00051789137,0.0008307042,0.00012059351,0.00025481248,0.002562172],"category_scores_gemma":[0.0014626678,0.00011064746,0.00018272812,0.00029144727,0.0003646149,0.00032803902,0.00040947436,0.00045944293,0.00017842112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026777338,0.00013468608,0.98564494,0.000020471853,0.000011989908,0.0002619115,0.009020786,0.00004431469,0.0002499144,0.0002186763,0.00021827211,0.004147229],"study_design_scores_gemma":[0.0000034060429,0.00012618871,0.95743334,0.000035146062,0.000014150208,0.00015862548,0.040598445,0.00037690098,0.00012512483,0.000066545625,0.0010533136,0.000008750859],"about_ca_topic_score_codex":0.019639246,"about_ca_topic_score_gemma":0.022349961,"teacher_disagreement_score":0.019639246,"about_ca_system_score_codex":0.00032702636,"about_ca_system_score_gemma":0.0005170514,"threshold_uncertainty_score":0.039049864},"labels":[],"label_agreement":null},{"id":"W1801256779","doi":"10.5430/ijfr.v6n3p110","title":"On the Rural Social Endowment Insurance in Ethnic Minority Areas: A Case Study of Gannan Tibetan Autonomous Prefecture of Gansu Province","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"China's Ethnic Minorities and Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endowment policy; Ethnic group; Endowment; Geography; Socioeconomics; Economic growth; Business; Demographic economics; Political science; Economics; China; Archaeology","score_opus":0.1532479774418703,"score_gpt":0.4492558419846826,"score_spread":0.2960078645428123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801256779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99883693,0.000037136724,0.000070517424,0.00012221301,0.0000012206845,0.0000065179183,0.000008202314,6.682666e-7,0.0009165898],"genre_scores_gemma":[0.9992322,0.00007995113,0.00012500635,0.000020920943,0.0000015516914,0.0000032263017,0.000009519841,5.6967156e-7,0.00052705436],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99966943,0.00015545335,0.0000071083446,0.00002207939,0.000024905552,0.0001209871],"domain_scores_gemma":[0.99966156,0.00011643204,0.00006131291,0.000016993876,0.000028100425,0.00011556894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005868563,0.00025306226,0.00018730617,0.0006771678,0.003259297,0.00078493555,0.0008522142,0.00069397996,0.0016862563],"category_scores_gemma":[0.00062858657,0.0001223315,0.00020423118,0.0009891773,0.0016496511,0.0005979953,0.0012129755,0.0004622093,0.000073127885],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002726841,0.0009941654,0.6347432,0.00020559813,0.000077388286,0.08498594,0.21599093,0.0042746477,0.00428563,0.018608296,0.0024194475,0.033142105],"study_design_scores_gemma":[0.00002809178,0.00030262835,0.34274256,0.00009631179,0.00004256117,0.004128157,0.63310707,0.008065631,0.000626547,0.0015280813,0.009294925,0.00003738977],"about_ca_topic_score_codex":0.100488335,"about_ca_topic_score_gemma":0.21186867,"teacher_disagreement_score":0.100488335,"about_ca_system_score_codex":0.002583574,"about_ca_system_score_gemma":0.0015632035,"threshold_uncertainty_score":0.19980687},"labels":[],"label_agreement":null},{"id":"W1824874584","doi":"10.5430/ijfr.v6n4p1","title":"Is Cash Flow per Share Paternalism by U.S. Accounting Rule Makers Warranted? An Empirical Study","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash flow; Cash flow statement; Operating cash flow; Free cash flow; Accounting; Financial statement; Business; Actuarial science; Statistic; Cash flow forecasting; Economics; Audit; Statistics","score_opus":0.07427081086983725,"score_gpt":0.376740978252031,"score_spread":0.3024701673821938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1824874584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963288,0.00009445337,0.000060790608,0.0008229194,0.000012010128,0.000011465063,0.000023628614,0.0000010394073,0.0026449233],"genre_scores_gemma":[0.99921334,0.000083756524,0.00005782985,0.00031829634,0.000015299993,0.0000056557415,0.000031048934,0.0000011880375,0.00027364073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99412495,0.0031210545,0.00039817547,0.0006381695,0.0012211186,0.0004965895],"domain_scores_gemma":[0.82064295,0.081951156,0.07896135,0.0055291895,0.009083293,0.003832033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0139866555,0.00018604616,0.0003355508,0.0006156394,0.0015762368,0.002759804,0.00070526777,0.001397876,0.005072042],"category_scores_gemma":[0.05401046,0.0003003906,0.00025505334,0.0010664612,0.00268853,0.0023005917,0.0010490132,0.002767051,0.00046868404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010802593,0.0031262052,0.94802684,0.00011814912,0.000093131224,0.00026757986,0.016543051,0.00019307235,0.0009771194,0.0043631876,0.0017741012,0.023437306],"study_design_scores_gemma":[0.000118994394,0.0010151556,0.9615495,0.0001248657,0.00008727712,0.00011900734,0.029041942,0.0012262712,0.00086390105,0.0018148884,0.004003246,0.000034976118],"about_ca_topic_score_codex":0.011909078,"about_ca_topic_score_gemma":0.01811747,"teacher_disagreement_score":0.0139866555,"about_ca_system_score_codex":0.0014047715,"about_ca_system_score_gemma":0.0019241615,"threshold_uncertainty_score":0.073969424},"labels":[],"label_agreement":null},{"id":"W1835052693","doi":"10.5430/ijfr.v6n3p56","title":"Determining Business Interruption Losses for Small Business","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business interruption insurance; Profit (economics); Business; Actuarial science; Business operations; Economics; Finance; Insurance policy; Microeconomics; Marketing; General insurance; Income protection insurance","score_opus":0.30478354389915274,"score_gpt":0.39293912454011526,"score_spread":0.08815558064096252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835052693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8960057,0.0008019706,0.090355374,0.00037149148,0.000050479728,0.00020801464,0.0013372602,0.0004058124,0.010463864],"genre_scores_gemma":[0.984781,0.00021801861,0.012415605,0.000018895173,0.000023140894,0.000041285297,0.00095039763,0.000045882858,0.0015057415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866664,0.00019887768,0.00009356888,0.00016020583,0.0007390358,0.00014158586],"domain_scores_gemma":[0.98898554,0.006121761,0.001835932,0.0006981044,0.0019033245,0.00045539008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024015023,0.0005864836,0.00047535583,0.0030445475,0.00047185956,0.0014572643,0.0007847164,0.00066027377,0.0024903917],"category_scores_gemma":[0.01796753,0.00023607233,0.0005699258,0.0015254224,0.00043664896,0.0015097894,0.0009703088,0.0009838537,0.000652624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001215475,0.00029863438,0.36796024,0.00036026508,0.00019369039,0.0024831933,0.00102574,0.4221447,0.0066920724,0.019437348,0.0067092692,0.17147937],"study_design_scores_gemma":[0.000021683829,0.0003158876,0.16122398,0.00008385448,0.00006199592,0.0009811996,0.00083598774,0.80987054,0.0053838906,0.01645426,0.0046997974,0.00006691943],"about_ca_topic_score_codex":0.0046080933,"about_ca_topic_score_gemma":0.002828101,"teacher_disagreement_score":0.0046080933,"about_ca_system_score_codex":0.001334338,"about_ca_system_score_gemma":0.0004704256,"threshold_uncertainty_score":0.012700498},"labels":[],"label_agreement":null},{"id":"W1847978797","doi":"10.5430/ijfr.v6n3p64","title":"Capital Flight and Foreign Direct Investment","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inflow; Foreign direct investment; Term (time); Error correction model; Econometrics; Economics; Capital (architecture); Capital outflow; Mathematics; Macroeconomics; Cointegration; Capital formation; Physics; Human capital; Geography; Meteorology; Financial capital; Market economy","score_opus":0.07758586394663171,"score_gpt":0.3394359235229025,"score_spread":0.26185005957627083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1847978797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679248,0.004752298,0.001406351,0.0011575037,0.000048088965,0.000030059547,0.0026869134,0.000048093418,0.021945933],"genre_scores_gemma":[0.99371666,0.0015059375,0.00019183525,0.000058831018,0.000028168779,0.000009291914,0.0011174174,0.0000027965125,0.003369136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996799,0.0000405198,0.00003295142,0.000070649534,0.00008427698,0.00009167734],"domain_scores_gemma":[0.9987004,0.0004341771,0.0005741612,0.00005493917,0.00012885398,0.00010742175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035967695,0.00026570586,0.00023258301,0.0011753719,0.00021117121,0.0012067822,0.00018542225,0.0003395131,0.0050751446],"category_scores_gemma":[0.0020686127,0.00012374217,0.00041154964,0.0018069992,0.00041307544,0.00076369353,0.00047848924,0.0005729489,0.0003539469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004867083,0.000048810045,0.95094615,0.00016481547,0.0001560144,0.0006235618,0.00034529992,0.0073614544,0.0003047854,0.015044824,0.0021191821,0.022836426],"study_design_scores_gemma":[0.00000984756,0.00006848037,0.97453964,0.00011305092,0.00007539481,0.0002681473,0.00053434,0.007122333,0.00042807907,0.004406849,0.0124049485,0.000028876426],"about_ca_topic_score_codex":0.02875869,"about_ca_topic_score_gemma":0.019327467,"teacher_disagreement_score":0.02875869,"about_ca_system_score_codex":0.0012028316,"about_ca_system_score_gemma":0.00082904514,"threshold_uncertainty_score":0.05718261},"labels":[],"label_agreement":null},{"id":"W1864811937","doi":"10.5430/ijfr.v6n4p151","title":"Mortgage Rates and the Corporate Bond Index at the Time of QEs in California","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government bond; Interest rate; Treasury; Bond; Monetary economics; Loan; Economics; Corporate bond; Affect (linguistics); Yield (engineering); Government (linguistics); Shared appreciation mortgage; Business; Financial system; Mortgage insurance; Finance","score_opus":0.10599239415813848,"score_gpt":0.32056028633110295,"score_spread":0.21456789217296446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1864811937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99299496,0.00018172718,0.00006274948,0.0002032296,0.00001519705,0.000005580343,0.0023871786,0.000016985417,0.004132401],"genre_scores_gemma":[0.9938152,0.00016887025,0.000057802663,0.000024873181,0.000021326006,0.000004348897,0.003503656,0.0000057289885,0.002398253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997054,0.00003415589,0.00002149139,0.0001004019,0.00008004593,0.000058508922],"domain_scores_gemma":[0.9966667,0.0005798725,0.001109402,0.00015939176,0.00087225187,0.0006124596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006681969,0.00010838835,0.0002158508,0.00075278984,0.00040145367,0.0010136163,0.00042614673,0.00034770992,0.0039856303],"category_scores_gemma":[0.0030649053,0.00016796651,0.00017926095,0.0009135733,0.0002578478,0.0004967954,0.00044254653,0.00086415524,0.0004124962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107165964,0.0000736959,0.9915091,0.000009715171,0.00005323914,0.000078084326,0.000198732,0.0008097791,0.000115579795,0.00045029446,0.0039575095,0.0026372194],"study_design_scores_gemma":[0.0000039366037,0.000020170513,0.9981937,0.0000042653096,0.0000115626,0.000018778928,0.00019513564,0.00047540673,0.00004001837,0.00004876233,0.000983451,0.000004697428],"about_ca_topic_score_codex":0.22439119,"about_ca_topic_score_gemma":0.27112433,"teacher_disagreement_score":0.22439119,"about_ca_system_score_codex":0.0011398514,"about_ca_system_score_gemma":0.00052838493,"threshold_uncertainty_score":0.44617015},"labels":[],"label_agreement":null},{"id":"W1876840454","doi":"10.5430/ijfr.v6n4p161","title":"The Role of Taxation Education on Taxation Knowledge and Its Effect on Tax Fairness as well as Tax Compliance on Handicraft SMEs Sectors in Indonesia","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Tax credit; Indirect tax; Value-added tax; Tax avoidance; Public economics; Tax reform; Economics","score_opus":0.06994920491908026,"score_gpt":0.36609286366498967,"score_spread":0.2961436587459094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1876840454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963135,0.00022814843,0.000030484609,0.00044178788,0.000005067582,0.0000055956452,0.000025450621,0.0000014277804,0.0029484283],"genre_scores_gemma":[0.9993679,0.00012504241,0.000024671108,0.0000315412,0.0000023541547,0.0000015478995,0.000014161239,4.715131e-7,0.0004323084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993247,0.0002382245,0.00004212908,0.00005177816,0.00013675856,0.00020639549],"domain_scores_gemma":[0.99538225,0.0014782115,0.0017989833,0.00013885168,0.00040553318,0.0007961048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008403374,0.00012407442,0.0002518895,0.0004993125,0.0006910573,0.0010750117,0.00025661246,0.00027649855,0.0034075752],"category_scores_gemma":[0.003980256,0.00009183429,0.00029727237,0.000634007,0.0005124811,0.0006502504,0.0009856805,0.0007289363,0.00020323561],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014436776,0.0011599495,0.9445144,0.00011587262,0.000052169682,0.0006266428,0.0044320743,0.00034848502,0.0003764451,0.0011097651,0.0006200922,0.046499766],"study_design_scores_gemma":[0.000008176372,0.0001157282,0.990537,0.00015714181,0.00003970838,0.00009224034,0.0069546606,0.00045624,0.00026203308,0.00033408863,0.0010345248,0.000008479733],"about_ca_topic_score_codex":0.01512425,"about_ca_topic_score_gemma":0.025530536,"teacher_disagreement_score":0.01512425,"about_ca_system_score_codex":0.0011128294,"about_ca_system_score_gemma":0.0025051497,"threshold_uncertainty_score":0.03007245},"labels":[],"label_agreement":null},{"id":"W1884463739","doi":"10.5430/ijfr.v6n4p114","title":"Role of Financial Banks in Promoting the Entrepreneurship: A Mixed Methodology Approach from Kingdom of Saudi Arabia","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Loan; Unavailability; Entrepreneurship; Business; Quality (philosophy); Finance; Documentation; Construct (python library); Bureaucracy; Qualitative research; Small business; Soft loan; Accounting; Marketing; Non-performing loan; Sociology","score_opus":0.16921217114509896,"score_gpt":0.34253149886999523,"score_spread":0.17331932772489628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1884463739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837684,0.0025056046,0.005329795,0.0008570569,0.00004624348,0.0027705568,0.00026304967,0.0000073034726,0.0044520427],"genre_scores_gemma":[0.97019494,0.0030361468,0.019440562,0.0007701197,0.000026138798,0.0037590258,0.0001748195,0.000008662116,0.002589562],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9907577,0.006975086,0.0006760127,0.00033604048,0.0006664871,0.00058859226],"domain_scores_gemma":[0.9830247,0.011542568,0.0012318565,0.00045397968,0.0033057712,0.00044102743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016588066,0.00046166786,0.0006748507,0.0032956412,0.002398785,0.0031780393,0.0008845389,0.0008207909,0.0029335746],"category_scores_gemma":[0.010513023,0.0004649404,0.000779206,0.0020947342,0.00095291913,0.0012817248,0.0022252845,0.0006715911,0.00022541978],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013797308,0.0039161644,0.16579625,0.008970158,0.0006807259,0.0029636468,0.5049523,0.0012888266,0.0062117144,0.015091617,0.002375634,0.2863733],"study_design_scores_gemma":[0.00020484971,0.003683778,0.09136244,0.0039880187,0.0008403813,0.00069263886,0.8644881,0.0031281626,0.004677946,0.0036358836,0.02321459,0.00008324092],"about_ca_topic_score_codex":0.0068529984,"about_ca_topic_score_gemma":0.014767172,"teacher_disagreement_score":0.016588066,"about_ca_system_score_codex":0.0033668943,"about_ca_system_score_gemma":0.0060094176,"threshold_uncertainty_score":0.08772713},"labels":[],"label_agreement":null},{"id":"W1925018089","doi":"10.5430/ijfr.v6n4p175","title":"Prospect of Sukuk in the Fixed Income Market: A Case Study on Kuwait Financial Market","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sukuk; Financial system; Fixed income; Issuer; Bond; Business; Money market; Debt; Bond market; Economics; Financial crisis; Capital market; Restructuring; Finance; Islam; Interest rate; Islamic finance; Macroeconomics","score_opus":0.07850528785025959,"score_gpt":0.3692897149579183,"score_spread":0.2907844271076587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925018089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879386,0.00032878653,0.00007429864,0.0007931025,0.000007016253,0.000022891953,0.000025366404,0.0000039542415,0.010805982],"genre_scores_gemma":[0.9975702,0.00031579836,0.000087185035,0.00009638923,0.000008095214,0.000005924659,0.000024436062,0.0000021016433,0.0018896967],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.999335,0.00022426953,0.0000231272,0.00004020103,0.00007278536,0.0003046679],"domain_scores_gemma":[0.99905044,0.00027796635,0.00022319381,0.0000365271,0.000122052414,0.00028985055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083080074,0.00037857096,0.00031555092,0.0014790412,0.007077625,0.0058851903,0.000782863,0.002845402,0.005043531],"category_scores_gemma":[0.0010899211,0.00021446178,0.00038286048,0.0019270933,0.0029220434,0.0034023423,0.002023503,0.0019240791,0.0004373655],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007522793,0.0029160958,0.39830056,0.00046764774,0.00011609708,0.21829478,0.18981309,0.0044226395,0.004489658,0.12588848,0.012713675,0.041825045],"study_design_scores_gemma":[0.00007720292,0.00044522522,0.25310555,0.00046981536,0.00010793961,0.011232778,0.66861385,0.014434152,0.0014716266,0.0075770295,0.042341992,0.00012283552],"about_ca_topic_score_codex":0.04245134,"about_ca_topic_score_gemma":0.08554915,"teacher_disagreement_score":0.04245134,"about_ca_system_score_codex":0.0041486816,"about_ca_system_score_gemma":0.0020189965,"threshold_uncertainty_score":0.08440852},"labels":[],"label_agreement":null},{"id":"W1925848257","doi":"10.5430/ijfr.v6n4p217","title":"Determinants of Investments in the Nigerian Economy: An Empirical Approach (1990 – 2013)","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Granger causality; Disequilibrium; Exchange rate; Investment (military); Unit root test; Augmented Dickey–Fuller test; Unit root; Inflation (cosmology); Order (exchange); Cointegration; Error correction model; Johansen test; Government expenditure; Econometrics; Government (linguistics); Causality (physics); Macroeconomics; Monetary economics; Public finance; Finance","score_opus":0.26549075385052434,"score_gpt":0.4100918303760606,"score_spread":0.14460107652553628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925848257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117017,0.0013661511,0.0002682138,0.00035246118,0.000022571166,0.000052186027,0.0011287775,0.000004041295,0.0056354734],"genre_scores_gemma":[0.991793,0.0024458382,0.00037216442,0.00006370335,0.00004036285,0.000064497806,0.0014108086,0.0000031535853,0.003806556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978346,0.000037498987,0.000024198356,0.000030287405,0.000048989546,0.00007559978],"domain_scores_gemma":[0.9989556,0.00035714655,0.00034099678,0.000022639317,0.00017285407,0.00015071713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070542743,0.00027068116,0.00026124064,0.0021792878,0.0005880511,0.0011877646,0.0002577908,0.00043481909,0.0035546639],"category_scores_gemma":[0.0013944681,0.00028446614,0.0005385143,0.002413091,0.00036074236,0.00081641047,0.00082624267,0.001043467,0.0006381338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005329252,0.00024683066,0.9817021,0.00015562754,0.000058707596,0.0006213281,0.0016308436,0.0011721376,0.00018079058,0.0022430324,0.0012532012,0.010682168],"study_design_scores_gemma":[0.0000055845326,0.00014439145,0.9823589,0.00037407584,0.0000810206,0.00030606086,0.0075720893,0.0028014714,0.00023436866,0.0005768161,0.0055304654,0.000014808783],"about_ca_topic_score_codex":0.023651453,"about_ca_topic_score_gemma":0.030823682,"teacher_disagreement_score":0.023651453,"about_ca_system_score_codex":0.0011056641,"about_ca_system_score_gemma":0.0012571297,"threshold_uncertainty_score":0.047027588},"labels":[],"label_agreement":null},{"id":"W1953770965","doi":"10.5430/ijfr.v6n3p135","title":"Financial Ratios and Stock Returns on China’s Growth Enterprise Market","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock market; Equity (law); Capital asset pricing model; Economics; Explanatory power; Financial economics; Business; Capital market; Monetary economics; Finance","score_opus":0.08789731445208387,"score_gpt":0.3259921090881097,"score_spread":0.23809479463602584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953770965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989807,0.000064157255,0.000036962596,0.0000699511,0.0000028090324,0.0000025893423,0.000089636465,0.0000041799494,0.0007488861],"genre_scores_gemma":[0.9994382,0.00006469438,0.00001928503,0.00000833979,0.000009035919,0.0000016368591,0.0001886079,9.677133e-7,0.00026915458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998592,0.000019257086,0.000011560639,0.000023158495,0.000041686606,0.000045078996],"domain_scores_gemma":[0.99784625,0.0005158535,0.0009938624,0.00007719195,0.00019528401,0.00037158545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060482696,0.00034252962,0.0002087475,0.0015378497,0.00022217729,0.00075456634,0.0002866619,0.00029688238,0.0028598502],"category_scores_gemma":[0.002303414,0.000096809265,0.00039496794,0.0009439128,0.00035883204,0.0009133692,0.0004580076,0.00044378685,0.0003451211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009010132,0.00008643451,0.9889979,0.0000152442635,0.000074740725,0.00031913427,0.00012604051,0.0012922842,0.00065053545,0.0010424765,0.00050881936,0.0067962315],"study_design_scores_gemma":[0.000004573481,0.00005048721,0.9934534,0.0000047230624,0.00001980784,0.00004487245,0.00010730384,0.0056376834,0.00019752352,0.00023341064,0.00024014495,0.000005993878],"about_ca_topic_score_codex":0.011651721,"about_ca_topic_score_gemma":0.011124824,"teacher_disagreement_score":0.011651721,"about_ca_system_score_codex":0.00059378624,"about_ca_system_score_gemma":0.0003808146,"threshold_uncertainty_score":0.023167789},"labels":[],"label_agreement":null},{"id":"W1972639214","doi":"10.5430/ijfr.v5n4p90","title":"Cointegration with Regime Shift between Gold and Financial Variables","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Econometrics; Ordinary least squares; Index (typography); Liberian dollar; Asset (computer security); Financial asset; Value (mathematics); Us dollar; Financial economics; Mathematics; Exchange rate; Finance; Statistics","score_opus":0.045135001308283546,"score_gpt":0.30306458175219014,"score_spread":0.25792958044390657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972639214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917059,0.0006035055,0.00520887,0.0002520425,0.000042915985,0.000015905574,0.00020083928,0.000035259738,0.0019347433],"genre_scores_gemma":[0.99872017,0.00016145146,0.00039080982,0.000017435908,0.00002502538,0.000006351814,0.00022154782,0.000002346257,0.00045495914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993647,0.00016105415,0.000058811045,0.00016957242,0.00011705614,0.00012878289],"domain_scores_gemma":[0.9973265,0.0011426918,0.000985857,0.00024620374,0.00020382977,0.000094929776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012660128,0.00023383464,0.00049516483,0.0010806862,0.00021329941,0.000837206,0.00025262038,0.0004731141,0.0017993477],"category_scores_gemma":[0.0049358234,0.00014425174,0.0005467466,0.0015522814,0.00051880564,0.000893834,0.00064684753,0.0007259632,0.0002789124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027090267,0.00012635611,0.9205598,0.00010042583,0.00043721948,0.0011565046,0.00063842064,0.0164822,0.004314212,0.012079971,0.0014888255,0.042345118],"study_design_scores_gemma":[0.000049285125,0.00030252623,0.8747166,0.00007790877,0.0002473835,0.00045251637,0.000575281,0.09822612,0.0031782018,0.016769765,0.0053555826,0.00004894619],"about_ca_topic_score_codex":0.0023324501,"about_ca_topic_score_gemma":0.003112013,"teacher_disagreement_score":0.0023324501,"about_ca_system_score_codex":0.00036707148,"about_ca_system_score_gemma":0.00040293942,"threshold_uncertainty_score":0.0066954494},"labels":[],"label_agreement":null},{"id":"W1974951060","doi":"10.5430/ijfr.v4n2p49","title":"Sources of Synergy Realization in Mergers and Acquisitions: Empirical Evidence from Non-Serial Acquirers in Europe","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiteit Gent","keywords":"Leverage (statistics); Mergers and acquisitions; Business; Monetary economics; Revenue; Shareholder; Sample (material); Debt ratio; Operating leverage; Realization (probability); Operating margin; Earnings before interest and taxes; Debt; Econometrics; Economics; Return on assets; Accounting; Finance; Profitability index; Statistics; Corporate governance","score_opus":0.07997892808215504,"score_gpt":0.3459009164865199,"score_spread":0.2659219884043649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974951060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989293,0.00016507138,0.00006440855,0.00002210993,6.685738e-7,0.0000025631425,0.000092393944,0.0000017618555,0.00072163885],"genre_scores_gemma":[0.99929225,0.000112324706,0.00006466433,0.0000073411693,0.0000048858724,0.0000011995965,0.00030872083,7.4009876e-7,0.00020787408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933225,0.00009813031,0.00011825764,0.00013533811,0.00019435456,0.000121675956],"domain_scores_gemma":[0.99066645,0.0015002396,0.0063090893,0.0003006755,0.0005509709,0.0006726432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122069,0.00021106572,0.0002908793,0.0021053737,0.0002760626,0.0012781029,0.00023712695,0.00037983514,0.0015803697],"category_scores_gemma":[0.0034228407,0.0001529959,0.00034185432,0.0015208834,0.0004013316,0.0009358694,0.0011499592,0.00031653707,0.00025467915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082783554,0.0000617676,0.99379796,0.000011786877,0.000052083218,0.0002236401,0.000214533,0.00026839858,0.00037211642,0.00016177639,0.00010160056,0.004651553],"study_design_scores_gemma":[0.0000029930923,0.0000639861,0.9983511,0.0000072910725,0.000018326871,0.00023104686,0.00045570405,0.00024476644,0.00028542915,0.000052845633,0.0002828592,0.000003685209],"about_ca_topic_score_codex":0.0022578686,"about_ca_topic_score_gemma":0.003786204,"teacher_disagreement_score":0.0022578686,"about_ca_system_score_codex":0.0002877174,"about_ca_system_score_gemma":0.00027947672,"threshold_uncertainty_score":0.0064557195},"labels":[],"label_agreement":null},{"id":"W1976015856","doi":"10.5430/ijfr.v1n1p21","title":"Valuation of a Basket Loan Credit Default Swap","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Prepayment of loan; Valuation (finance); Loan; Econometrics; Credit default swap; Credit risk; Credit derivative; iTraxx; Actuarial science; Swap (finance); Computer science; Mathematics; Economics; Finance; Credit valuation adjustment","score_opus":0.11928385308971368,"score_gpt":0.3734306827880632,"score_spread":0.2541468296983495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976015856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15701024,0.00068548665,0.83103484,0.00047558357,0.00010244855,0.00011502563,0.00020386143,0.00013809328,0.010234391],"genre_scores_gemma":[0.9318114,0.00045587006,0.06391651,0.000028120192,0.000072855364,0.000041987085,0.00009223598,0.000022726541,0.003558265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943763,0.00026169396,0.000031130836,0.00006198467,0.0001631659,0.000044348075],"domain_scores_gemma":[0.9992483,0.0002583612,0.00014215324,0.00009116193,0.00013112716,0.0001288234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018926851,0.0004154015,0.0006655973,0.00095673866,0.0003678234,0.0019841536,0.0007741089,0.0009340183,0.0025746343],"category_scores_gemma":[0.003538505,0.00036640212,0.0004781974,0.000834506,0.0006720626,0.0024459776,0.0010786292,0.00093960547,0.00018291571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002511452,0.00009384683,0.005371801,0.000117503696,0.000062548206,0.00046186178,0.00017340864,0.43042722,0.011917442,0.48321396,0.001970911,0.06593843],"study_design_scores_gemma":[0.000010698639,0.000067999725,0.00062065653,0.000011991396,0.000010127201,0.00009660821,0.000022870257,0.96600217,0.0008354647,0.031218762,0.0010879189,0.000014796695],"about_ca_topic_score_codex":0.0009292053,"about_ca_topic_score_gemma":0.0006124784,"teacher_disagreement_score":0.0025746343,"about_ca_system_score_codex":0.00091167155,"about_ca_system_score_gemma":0.0007156957,"threshold_uncertainty_score":0.010009587},"labels":[],"label_agreement":null},{"id":"W1980220930","doi":"10.5430/ijfr.v5n2p142","title":"Study on Evolution of Spatial Structure of Pan-Linxia Economic Zone","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Geography; Economic geography; Spatial analysis; Economy; Economics; Remote sensing","score_opus":0.05601216423088571,"score_gpt":0.32703362633724314,"score_spread":0.2710214621063574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980220930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946561,0.0001924089,0.0019453377,0.00009737649,0.0000036465428,0.000008593441,0.0003212948,0.00002045889,0.0027547663],"genre_scores_gemma":[0.99847883,0.000087679706,0.0006935543,0.0000039107604,0.0000018804232,0.0000048368784,0.00023724644,0.0000026857276,0.0004893437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985886,0.000025021054,0.000006910179,0.000042058884,0.00003176379,0.000035374833],"domain_scores_gemma":[0.99962294,0.00008272075,0.00010340369,0.000031392134,0.000121275916,0.0000381979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028138838,0.00009538699,0.00013516705,0.0017060189,0.00037066478,0.00073411624,0.00027264468,0.0001685256,0.0013621963],"category_scores_gemma":[0.0011853024,0.00011783535,0.0002302787,0.0029720059,0.00031370975,0.000619327,0.000482809,0.00015293536,0.00010011106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106559666,0.000032447053,0.92779714,0.00008059425,0.00011283102,0.00089324673,0.0022573478,0.013741943,0.004450044,0.014047385,0.0011709002,0.035309564],"study_design_scores_gemma":[0.0000032012272,0.000016956357,0.97779727,0.000011213444,0.000022688339,0.00017355163,0.0011520012,0.01677685,0.00046792405,0.0010146621,0.0025530604,0.00001065012],"about_ca_topic_score_codex":0.021549325,"about_ca_topic_score_gemma":0.023953935,"teacher_disagreement_score":0.021549325,"about_ca_system_score_codex":0.0007878434,"about_ca_system_score_gemma":0.00045055946,"threshold_uncertainty_score":0.042847753},"labels":[],"label_agreement":null},{"id":"W1988130070","doi":"10.5430/ijfr.v3n1p22","title":"Modelling Credit Risk for Personal Loans Using Product-Limit Estimator","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Payment; Loan; Estimator; Actuarial science; Product (mathematics); Hazard; Limit (mathematics); Economics; Sample (material); Kaplan–Meier estimator; Econometrics; Business; Statistics; Mathematics; Finance; Physics","score_opus":0.12456147731793452,"score_gpt":0.36534167611283175,"score_spread":0.24078019879489723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988130070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4094102,0.00044382314,0.5868907,0.00025858983,0.00004769167,0.000261373,0.0006055017,0.0003048242,0.0017771838],"genre_scores_gemma":[0.9305396,0.00034835495,0.060607135,0.000044166216,0.000044612312,0.0004487487,0.0009983598,0.000048056183,0.0069209384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978992,0.0011038117,0.00010053669,0.0004845379,0.0002358305,0.0001761681],"domain_scores_gemma":[0.9824011,0.014549091,0.0012729935,0.0005786371,0.00092630985,0.00027179153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011774613,0.00076878077,0.0016036815,0.0013541868,0.00032328884,0.0019012087,0.0023890634,0.002031687,0.0038820086],"category_scores_gemma":[0.024288034,0.00069724856,0.0014618121,0.0010014728,0.0008630234,0.001728092,0.0010990509,0.0021442263,0.0007880857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034052937,0.00026164128,0.050997652,0.00015176945,0.00028861297,0.00052412966,0.00065725954,0.88565284,0.0010741892,0.029528309,0.001122383,0.029400697],"study_design_scores_gemma":[0.000013809162,0.000076946875,0.0032728196,0.000010844933,0.000018908037,0.00007083104,0.000028334156,0.9915461,0.000107174565,0.0045857187,0.00025527945,0.000013273456],"about_ca_topic_score_codex":0.007620399,"about_ca_topic_score_gemma":0.0026097938,"teacher_disagreement_score":0.011774613,"about_ca_system_score_codex":0.0006085864,"about_ca_system_score_gemma":0.00081144477,"threshold_uncertainty_score":0.06227088},"labels":[],"label_agreement":null},{"id":"W1988604749","doi":"10.5430/ijfr.v3n1p105","title":"Theoretical Research of the Urban Comprehensive Carrying Capacity in the Epoch of Urbanization","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carrying capacity; Urbanization; Context (archaeology); Process (computing); Resource (disambiguation); Sustainable development; Urban climate; Epoch (astronomy); Environmental resource management; Environmental planning; Geography; Economic geography; Environmental economics; Natural resource economics; Environmental science; Computer science; Economics; Ecology; Economic growth; Biology","score_opus":0.1225469789069496,"score_gpt":0.384534520133851,"score_spread":0.2619875412269014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988604749","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26999182,0.009898184,0.12920985,0.022735085,0.00037874744,0.000049787857,0.0005024426,0.00010208149,0.567132],"genre_scores_gemma":[0.9846581,0.0026766874,0.005429677,0.00022238505,0.0001565307,0.00003720548,0.000059259906,0.000015637006,0.006744409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997589,0.00007873402,0.000008206456,0.000041564526,0.000052479587,0.00006009904],"domain_scores_gemma":[0.99938285,0.00034690564,0.00007255965,0.000060681443,0.00007797434,0.000058947382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067505945,0.00035005444,0.00019636455,0.0015100152,0.0011960929,0.0019828717,0.00063453807,0.000674036,0.0034945754],"category_scores_gemma":[0.0014493942,0.00016300337,0.0003118924,0.0019382078,0.008578836,0.0035053801,0.0013420013,0.001123846,0.00020863846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.697791e-7,0.0000014925376,0.00016500198,0.000008572644,8.9823357e-7,0.000012048758,0.00024438047,0.0017945957,0.00002435581,0.996161,0.00019529603,0.0013913237],"study_design_scores_gemma":[0.0000011959565,0.000006733081,0.0010131916,0.000037180645,0.000004094927,0.00004447819,0.0006097651,0.0051125856,0.00007129604,0.97854334,0.014547271,0.000008740402],"about_ca_topic_score_codex":0.004823636,"about_ca_topic_score_gemma":0.0032980135,"teacher_disagreement_score":0.004823636,"about_ca_system_score_codex":0.0031831628,"about_ca_system_score_gemma":0.0009512831,"threshold_uncertainty_score":0.023095548},"labels":[],"label_agreement":null},{"id":"W1995277094","doi":"10.5430/ijfr.v5n3p146","title":"Liquidity Analysis Using Cash Flow Ratios as Compared to Traditional Ratios in the Pharmaceutical Sector in Jordan","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Cash flow; Cash flow statement; Cash flow forecasting; Position (finance); Business; Cash and cash equivalents; Cash conversion cycle; Cash; Operating cash flow; Cash on cash return; Monetary economics; Finance; Economics","score_opus":0.14847622091620388,"score_gpt":0.38535421396998376,"score_spread":0.23687799305377988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995277094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996951,0.0006978178,0.00021289082,0.000108805565,0.000005017256,0.000014411006,0.00014648595,0.0000063487546,0.0018572547],"genre_scores_gemma":[0.9989229,0.00025937348,0.00026453662,0.0000214304,0.000017344872,0.000006038067,0.00012420867,0.0000016931521,0.0003823427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991936,0.00022578756,0.000118194555,0.00007638364,0.0002628099,0.00012335555],"domain_scores_gemma":[0.9963415,0.00056499493,0.0018530285,0.000055498236,0.0009456468,0.00023931137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015368521,0.00027206927,0.00017052788,0.0056989943,0.0003002434,0.0016097164,0.0002694681,0.00029833594,0.0013622235],"category_scores_gemma":[0.0035552362,0.00009979661,0.0002539023,0.0026337437,0.00035433366,0.0014695807,0.00082493364,0.00022622634,0.0002818432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037114415,0.00013309708,0.94841945,0.00013228062,0.00006623686,0.0008177125,0.0024256145,0.0010128934,0.001550821,0.0008196288,0.0006477704,0.043603465],"study_design_scores_gemma":[0.000023867877,0.0005069421,0.9792823,0.00011375732,0.000048964266,0.0007710404,0.009020757,0.0039298222,0.0021798706,0.00079797814,0.003284393,0.000040321258],"about_ca_topic_score_codex":0.0027257758,"about_ca_topic_score_gemma":0.002446974,"teacher_disagreement_score":0.0056989943,"about_ca_system_score_codex":0.00090315077,"about_ca_system_score_gemma":0.0007130431,"threshold_uncertainty_score":0.008127689},"labels":[],"label_agreement":null},{"id":"W2011332689","doi":"10.5430/ijfr.v4n2p33","title":"On the Influence of Oil Price Shocks on Economic Activity, Inflation, and Exchange Rates","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Oil price; Exchange rate; Inflation (cosmology); Monetary economics; Crude oil; Dependency (UML); Impulse (physics); Vector autoregression; Impulse response; Production (economics); Econometrics; Macroeconomics","score_opus":0.050462079860460314,"score_gpt":0.32549926902429654,"score_spread":0.27503718916383624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011332689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951658,0.00043278222,0.0018832418,0.00020617754,0.000018445264,0.000009109055,0.00017463168,0.000012206025,0.002097556],"genre_scores_gemma":[0.9983706,0.0006899663,0.0003482412,0.000048463386,0.00002911981,0.000004047659,0.00018727426,0.000004594089,0.00031765446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970967,0.00013775114,0.000018805045,0.000040938332,0.000041742824,0.000051094066],"domain_scores_gemma":[0.9941071,0.004734268,0.0007128285,0.00012835338,0.00017330854,0.00014418378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086725026,0.00048685342,0.0005370554,0.000588893,0.00021389141,0.00088174985,0.00022444248,0.0004457461,0.001739357],"category_scores_gemma":[0.004728789,0.00015862184,0.0005343622,0.0008469045,0.0004716797,0.00053710176,0.00056371134,0.00081151864,0.00023304851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019324992,0.00056862633,0.8100118,0.00030520058,0.0012258067,0.0018290819,0.00073090085,0.12010157,0.01045487,0.011340128,0.00074443605,0.040755123],"study_design_scores_gemma":[0.000059244296,0.00079659635,0.8816187,0.00003982993,0.00048340255,0.0002546485,0.0008980163,0.100989595,0.004956105,0.00865708,0.0011771062,0.000069610454],"about_ca_topic_score_codex":0.0033516292,"about_ca_topic_score_gemma":0.003532343,"teacher_disagreement_score":0.0033516292,"about_ca_system_score_codex":0.00028116017,"about_ca_system_score_gemma":0.00024170314,"threshold_uncertainty_score":0.0066642165},"labels":[],"label_agreement":null},{"id":"W2012267844","doi":"10.5430/ijfr.v2n1p31","title":"Bank Size, Functional Distance and Loss Given Default Rate of Bank Loans","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Non-performing loan; Business; Loss given default; Debt; Financial system; Default; Monetary economics; Economics; Actuarial science; Finance; Loan","score_opus":0.07279562765748791,"score_gpt":0.30846401834974857,"score_spread":0.23566839069226064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012267844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99207014,0.0003567338,0.001175152,0.0001684405,0.0000071799545,0.000014103646,0.00037432258,0.000024929184,0.005808929],"genre_scores_gemma":[0.99890196,0.00006425434,0.00014004007,0.0000073171836,0.000008875706,0.0000059988656,0.00030980541,0.000002741893,0.000558943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986424,0.00042898607,0.00016101327,0.00019302439,0.00040318887,0.00017126916],"domain_scores_gemma":[0.9736363,0.01111946,0.010350978,0.0012450533,0.0014253411,0.002222922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020821434,0.00017842265,0.0003394354,0.0014629965,0.0002858257,0.001188507,0.00049792277,0.0005432208,0.0047132843],"category_scores_gemma":[0.014416802,0.00008281133,0.00031728577,0.001443083,0.0009601786,0.0011380212,0.00077375345,0.00056862383,0.0009604439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003424139,0.00012470422,0.9707337,0.000054195727,0.000117907126,0.0002346109,0.0005480287,0.006064158,0.00046315833,0.0032302118,0.0011806854,0.016906215],"study_design_scores_gemma":[0.000011808712,0.00013942335,0.9926212,0.000015780432,0.000019720557,0.00027860815,0.0005276012,0.0030671824,0.00017746842,0.0023489983,0.00078063254,0.000011550365],"about_ca_topic_score_codex":0.0017286317,"about_ca_topic_score_gemma":0.0010835619,"teacher_disagreement_score":0.0047132843,"about_ca_system_score_codex":0.00063663156,"about_ca_system_score_gemma":0.00027656314,"threshold_uncertainty_score":0.015767574},"labels":[],"label_agreement":null},{"id":"W2013124435","doi":"10.5430/ijfr.v5n1p93","title":"Effects of Stock Market Development on Economic Growth: Evidence from Turkey","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Cointegration; Stock market; Economics; Granger causality; Monetary economics; Capitalization; Inventory turnover; Growth stock; Stock (firearms); Financial economics; Stock market bubble; Econometrics; Stock exchange; Finance; Biology","score_opus":0.1227468769893368,"score_gpt":0.33210178942939633,"score_spread":0.20935491244005955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013124435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99224067,0.0035971303,0.00007515776,0.000451512,0.000016003947,0.00000670637,0.0006827107,0.0000058008027,0.0029243738],"genre_scores_gemma":[0.9966524,0.0024235612,0.000052126972,0.000039160735,0.000018112483,0.0000021781134,0.0006538247,0.0000014294216,0.00015716637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997693,0.000047615573,0.000034437373,0.000041034666,0.00005368809,0.0000539568],"domain_scores_gemma":[0.9978067,0.0006132406,0.0009237284,0.00006151343,0.00044165112,0.00015307091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059019576,0.00033779757,0.0002753513,0.0013195599,0.00018484784,0.0007098158,0.00022436782,0.00029762913,0.001257849],"category_scores_gemma":[0.0013473546,0.00012470115,0.00038256368,0.001722,0.00033998824,0.00044849643,0.0004560954,0.00042413414,0.00019819876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003555814,0.00014852935,0.96810615,0.00028657645,0.00020396746,0.0010450919,0.0004367819,0.0010305361,0.0005630857,0.0009412651,0.0015636743,0.025318641],"study_design_scores_gemma":[0.000011103458,0.000052421598,0.9975509,0.000047383088,0.0000847819,0.00009713203,0.00035979992,0.00054713007,0.00019820359,0.000099164616,0.0009467748,0.00000507314],"about_ca_topic_score_codex":0.020429833,"about_ca_topic_score_gemma":0.02044003,"teacher_disagreement_score":0.020429833,"about_ca_system_score_codex":0.0006050193,"about_ca_system_score_gemma":0.0006095242,"threshold_uncertainty_score":0.040621817},"labels":[],"label_agreement":null},{"id":"W2015722368","doi":"10.5430/ijfr.v5n1p114","title":"The Analysis on the Introduction of Islamic Financial Model in Ethnic Region in Gansu, China","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Islam; China; Financial crisis; Vitality; Ethnic group; Bottleneck; Investment (military); Islamic finance; Loan; Finance; Economics; Financial system; Business; Political science; Geography; Macroeconomics; Politics; Law","score_opus":0.0422236166400469,"score_gpt":0.3308131120342543,"score_spread":0.28858949539420736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015722368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966719,0.000045640703,0.000025884889,0.00017255565,0.000002345208,0.000005273016,0.00002828234,8.2217844e-7,0.0030472337],"genre_scores_gemma":[0.9992986,0.000049355243,0.000018820578,0.000020423953,0.0000018250446,0.0000018879819,0.00003874961,4.0017338e-7,0.00057004567],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9996259,0.00010096926,0.000019020528,0.000033966015,0.00007891297,0.00014116072],"domain_scores_gemma":[0.99942493,0.00009508443,0.00015482493,0.000023666898,0.00015864515,0.00014271197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049891736,0.00013482553,0.0001246239,0.0008263198,0.0011081282,0.0010734305,0.000379093,0.00021068005,0.0023455645],"category_scores_gemma":[0.0007531931,0.000078416655,0.00021836259,0.001292568,0.00078024034,0.0004478408,0.0006699548,0.00039332258,0.000120019904],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048622955,0.000072351526,0.9707919,0.000030658954,0.000025474847,0.001359134,0.009302986,0.0005112579,0.00033528602,0.004614993,0.0013052621,0.011602108],"study_design_scores_gemma":[0.0000028796048,0.000025494483,0.9788249,0.000020786152,0.000015472788,0.000120367426,0.018022625,0.0010100522,0.00006283259,0.0001944742,0.0016942376,0.000005830251],"about_ca_topic_score_codex":0.12642075,"about_ca_topic_score_gemma":0.16512349,"teacher_disagreement_score":0.12642075,"about_ca_system_score_codex":0.002615267,"about_ca_system_score_gemma":0.002063198,"threshold_uncertainty_score":0.25136977},"labels":[],"label_agreement":null},{"id":"W2025072772","doi":"10.5430/ijfr.v5n2p189","title":"On the Urban Comprehensive Carrying Capacity of the Ethnic Regions in China","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Carrying capacity; Inner mongolia; Urbanization; Context (archaeology); Analytic hierarchy process; China; Sustainable development; Process (computing); Economic geography; Environmental resource management; Geography; Economic system; Environmental planning; Computer science; Economic growth; Political science; Ecology; Environmental science; Economics; Operations research; Engineering","score_opus":0.0689168361301958,"score_gpt":0.3396842459007697,"score_spread":0.2707674097705739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025072772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996256,0.000056280613,0.00089803373,0.000048141428,0.0000011994674,0.0000055803475,0.00007612204,0.00000455182,0.0026539776],"genre_scores_gemma":[0.99970347,0.000016735357,0.00013348655,0.0000017250917,6.281073e-7,0.0000026327143,0.000026768337,6.268357e-7,0.00011398257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980706,0.00004373635,0.000012576981,0.000028141096,0.000043554122,0.00006496456],"domain_scores_gemma":[0.99953496,0.00013979897,0.00008922152,0.000040919705,0.0001315732,0.00006351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058311,0.00019219195,0.00012960487,0.0016592313,0.0004810645,0.0007208525,0.0003103169,0.00012033218,0.0009489829],"category_scores_gemma":[0.0011428327,0.00009023306,0.0002426281,0.0016176455,0.0005921241,0.0008202087,0.0006683306,0.00011060685,0.0000381721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009902299,0.000050894174,0.79331124,0.00009665534,0.0001826284,0.00051708333,0.0065612034,0.090621054,0.0019896582,0.059856974,0.0007886587,0.045925032],"study_design_scores_gemma":[0.000006628831,0.0000659193,0.87026113,0.00005429618,0.000088220964,0.00016592954,0.012621557,0.09743257,0.0008619266,0.014740412,0.003640545,0.000060736165],"about_ca_topic_score_codex":0.0476754,"about_ca_topic_score_gemma":0.053942345,"teacher_disagreement_score":0.0476754,"about_ca_system_score_codex":0.0019014864,"about_ca_system_score_gemma":0.0010777834,"threshold_uncertainty_score":0.09479582},"labels":[],"label_agreement":null},{"id":"W2030438677","doi":"10.5430/ijfr.v6n2p1","title":"Losers Win, Winners Lose: Evidence against Market Efficiency","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Autocorrelation; Market efficiency; Econometrics; Set (abstract data type); Economics; Event study; Psychology; Financial economics; Monetary economics; Statistics; Computer science; Mathematics","score_opus":0.19414161805372368,"score_gpt":0.36778359457912824,"score_spread":0.17364197652540456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030438677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263144,0.00024733643,0.0010045031,0.00015492715,0.000009590484,0.000018422064,0.00006220697,0.000011568763,0.005860022],"genre_scores_gemma":[0.99939513,0.00003905186,0.00015797342,0.000029052917,0.000015064394,0.000004356332,0.000043042262,0.0000041102776,0.0003122953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99625164,0.000779629,0.0004014503,0.000792125,0.0013770426,0.000398164],"domain_scores_gemma":[0.93724626,0.032598775,0.019549912,0.006001419,0.0022523284,0.002351344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009374527,0.00025571906,0.0008821813,0.0015874464,0.0004567352,0.0023439862,0.00094198436,0.00075943023,0.0048629637],"category_scores_gemma":[0.038809456,0.00020958214,0.00041280777,0.0007895416,0.002513434,0.002668369,0.0015664136,0.0007784887,0.0005647832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033216167,0.00086612167,0.93063736,0.00018645565,0.0006351829,0.00066351605,0.0008382955,0.0016098183,0.008232814,0.008294838,0.00059111905,0.044122946],"study_design_scores_gemma":[0.000072890776,0.0011969567,0.98544335,0.000018159963,0.00010687798,0.00050727697,0.0006023698,0.003034257,0.0023413103,0.005801766,0.0008495671,0.000025166797],"about_ca_topic_score_codex":0.000557648,"about_ca_topic_score_gemma":0.0005542812,"teacher_disagreement_score":0.009374527,"about_ca_system_score_codex":0.00039747276,"about_ca_system_score_gemma":0.00038234165,"threshold_uncertainty_score":0.049577832},"labels":[],"label_agreement":null},{"id":"W2030632621","doi":"10.5430/ijfr.v5n3p73","title":"From Rural to Microfinance Banking: Contributions of Micro Credits to Nigeria’s Economic Growth – An ARDL Approach","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microfinance; Distributed lag; Economics; Poverty; Causality (physics); Short run; Granger causality; Development economics; Macroeconomics; Economic growth; Econometrics","score_opus":0.04465101690167464,"score_gpt":0.3380612945064698,"score_spread":0.2934102776047952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030632621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698416,0.0025954142,0.0060605383,0.0037039309,0.00008452736,0.000056387806,0.00048640743,0.000026684505,0.017144589],"genre_scores_gemma":[0.9966558,0.0009441992,0.00050978904,0.00006378498,0.00002986698,0.000009176794,0.00009611939,0.0000028463564,0.0016884278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995832,0.00017064772,0.000031513864,0.000064285334,0.00006382644,0.00008660344],"domain_scores_gemma":[0.99655676,0.002065117,0.00062641193,0.00009665592,0.0003991468,0.00025587354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009865547,0.00027474185,0.00027339123,0.0014657932,0.0003296938,0.0021087734,0.0003419888,0.00050970644,0.003102337],"category_scores_gemma":[0.0036711642,0.00016954941,0.00035628508,0.0012333643,0.00064506126,0.0013256939,0.0010375254,0.0013102919,0.00023665896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020917991,0.0002573055,0.87687695,0.00023244419,0.00015182792,0.0021834935,0.0016787173,0.013111679,0.00080817466,0.034919865,0.0012379125,0.068332605],"study_design_scores_gemma":[0.000040687548,0.0008038847,0.71389204,0.00084936304,0.00052484096,0.0015138213,0.014603734,0.1817544,0.0021156922,0.056778643,0.027040053,0.00008276719],"about_ca_topic_score_codex":0.00973798,"about_ca_topic_score_gemma":0.012193191,"teacher_disagreement_score":0.00973798,"about_ca_system_score_codex":0.00077610026,"about_ca_system_score_gemma":0.0011789572,"threshold_uncertainty_score":0.019362569},"labels":[],"label_agreement":null},{"id":"W2035625289","doi":"10.5430/ijfr.v5n3p136","title":"A Game Theoretic Model of Deposit Contracts between the Bank and the Depositor - Extend Study on the Economic Analysis of Bank Run","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bank run; Market liquidity; Global game; Bank account; Investment (military); Focus (optics); Economics; Business; Microeconomics; Monetary economics; Finance; Payment","score_opus":0.04774860646479378,"score_gpt":0.3214609211340232,"score_spread":0.2737123146692294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035625289","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22085156,0.0020361396,0.6719265,0.006671286,0.0002687703,0.0002737902,0.0005964306,0.00013820892,0.09723725],"genre_scores_gemma":[0.9512891,0.0009646983,0.02201742,0.00026317153,0.00011373804,0.00017188302,0.00011191085,0.000022484692,0.025045564],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850863,0.00081849925,0.00005312798,0.00020837534,0.00018666088,0.00022475525],"domain_scores_gemma":[0.997366,0.0015384608,0.0004247942,0.00014793655,0.00019263306,0.0003302008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019115582,0.000925742,0.0013006119,0.00067915325,0.0013120921,0.003591682,0.0021896253,0.003352768,0.008429015],"category_scores_gemma":[0.0048866016,0.000599437,0.001107387,0.0009684621,0.0029867142,0.004505466,0.0012613708,0.0029131284,0.0006511531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009080915,0.0000977599,0.00049939036,0.00006400145,0.000039777202,0.0002691441,0.00022051489,0.12314116,0.0009133954,0.8715943,0.0011078018,0.0019619951],"study_design_scores_gemma":[0.000111951194,0.00010589848,0.00049246644,0.000026564834,0.000041921805,0.00016172495,0.00017526338,0.55504817,0.00023246078,0.43951616,0.004042663,0.00004478028],"about_ca_topic_score_codex":0.008008765,"about_ca_topic_score_gemma":0.0044797487,"teacher_disagreement_score":0.008429015,"about_ca_system_score_codex":0.0033888684,"about_ca_system_score_gemma":0.002622702,"threshold_uncertainty_score":0.028197885},"labels":[],"label_agreement":null},{"id":"W2037443251","doi":"10.5430/ijfr.v3n2p35","title":"Problem of Financial Resource Mobilization for Local Development: The Case of Single Land Tax (CFU) in the Governorate of Conakry Guinea","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Governor; Work (physics); Citizen journalism; Business; Mobilization; Finance; Economic growth; Political science; Economics; Engineering","score_opus":0.12275724619702053,"score_gpt":0.3408762704251159,"score_spread":0.2181190242280954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037443251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703526,0.0003963486,0.00080037967,0.010926845,0.000032259668,0.000088079854,0.000030804506,0.000008301213,0.017364351],"genre_scores_gemma":[0.9961515,0.00035429877,0.0006631692,0.00033789728,0.0000121070425,0.000056778208,0.000011420685,0.0000035641208,0.00240926],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9962901,0.0018276398,0.00011289917,0.00018716243,0.00024477605,0.001337427],"domain_scores_gemma":[0.9953975,0.0024585917,0.0008888542,0.00018535527,0.00029298122,0.0007766766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004261811,0.00026711123,0.00038302952,0.001101303,0.012206798,0.006328589,0.0016135674,0.004020719,0.0039318274],"category_scores_gemma":[0.007411456,0.00034175493,0.00023113747,0.0021431728,0.006315241,0.0033799966,0.005641719,0.0026945907,0.00016924881],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027490006,0.00066597643,0.120052226,0.0008089964,0.000089419336,0.10857467,0.391861,0.007064861,0.0024687483,0.27487922,0.0098214345,0.08343858],"study_design_scores_gemma":[0.000028166378,0.00013493982,0.03104351,0.0006228865,0.00003007161,0.0053466787,0.89153916,0.0022990024,0.0005375817,0.013312288,0.055049483,0.000056295834],"about_ca_topic_score_codex":0.041329548,"about_ca_topic_score_gemma":0.07170417,"teacher_disagreement_score":0.041329548,"about_ca_system_score_codex":0.007244431,"about_ca_system_score_gemma":0.011429406,"threshold_uncertainty_score":0.082178},"labels":[],"label_agreement":null},{"id":"W2038383448","doi":"10.5430/ijfr.v4n4p11","title":"Pricing Onion Options: A Probabilistic Approach","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Probabilistic logic; Black–Scholes model; Valuation (finance); Arbitrage; Finite difference methods for option pricing; Mathematical economics; Valuation of options; Binary option; Binary number; Exotic option; Economics; Mathematics; Mathematical optimization; Computer science; Econometrics; Asian option; Financial economics; Finance; Statistics; Arithmetic","score_opus":0.09502967604596749,"score_gpt":0.335546853389135,"score_spread":0.2405171773431675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038383448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013359478,0.0006107977,0.97694844,0.0007994474,0.000073602976,0.000022704731,0.00004443209,0.00005019177,0.008090841],"genre_scores_gemma":[0.70875293,0.0037878272,0.26449963,0.00066714484,0.0011824297,0.00018338226,0.00023497579,0.00017275126,0.020518977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984255,0.0005887705,0.000073485004,0.00017405358,0.00061095436,0.00012734943],"domain_scores_gemma":[0.9970272,0.0016958213,0.00034965263,0.00029518237,0.00043219593,0.00020002337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027057272,0.0010113419,0.0009745056,0.0019146275,0.0007623818,0.0031005766,0.0022934305,0.0018982539,0.005169087],"category_scores_gemma":[0.009190471,0.0007406577,0.0016751424,0.0013757063,0.0028023166,0.0065226005,0.0024697245,0.0032277326,0.0006189541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013962228,0.000021421525,0.00036541396,0.000037627222,0.000024200932,0.000079630634,0.00005203403,0.081692845,0.00057172135,0.9101081,0.00036876285,0.0066644005],"study_design_scores_gemma":[0.00000808422,0.0000148023755,0.00020386389,0.000015453648,0.000008879049,0.00007886018,0.000015840758,0.41275224,0.0001811871,0.58523667,0.0014663707,0.000017756143],"about_ca_topic_score_codex":0.0020615591,"about_ca_topic_score_gemma":0.0013872775,"teacher_disagreement_score":0.005169087,"about_ca_system_score_codex":0.0011121989,"about_ca_system_score_gemma":0.000859183,"threshold_uncertainty_score":0.01729232},"labels":[],"label_agreement":null},{"id":"W2039852927","doi":"10.5430/ijfr.v5n3p68","title":"The Crisis: The Relentless Resulting of an Explosive Cycle","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subprime crisis; Economics; Subprime mortgage crisis; Financial crisis; Politics; Financial market; Real economy; Keynesian economics; Financial system; Monetary economics; Political science; Finance","score_opus":0.07930937100440348,"score_gpt":0.3644923188533502,"score_spread":0.2851829478489467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039852927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6041464,0.04499527,0.062016603,0.11878898,0.0047458285,0.00012480392,0.0011330721,0.00046616586,0.16358289],"genre_scores_gemma":[0.9736355,0.009154931,0.0035750815,0.0038649284,0.001166308,0.00003277114,0.000092955794,0.000093018934,0.008384445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997311,0.00009878011,0.000013898426,0.000050683324,0.000070333954,0.000035165653],"domain_scores_gemma":[0.99914575,0.00033873183,0.00022594907,0.00007098718,0.00009760171,0.00012105133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006368212,0.00029474797,0.0004106884,0.00068992085,0.0010705298,0.0038934667,0.00036278437,0.0019180302,0.0036304924],"category_scores_gemma":[0.0038791222,0.00022586662,0.00021268995,0.0006080643,0.0025921848,0.005398575,0.0018961438,0.0025306323,0.0005110043],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037378463,0.00007270345,0.009509777,0.0004201752,0.00005562461,0.003017122,0.00432858,0.0044612125,0.0029381812,0.89994186,0.025734313,0.04914668],"study_design_scores_gemma":[0.00004339192,0.00012663555,0.013945331,0.0007244612,0.000052876472,0.0024774917,0.0044330684,0.010757286,0.0014402124,0.84041995,0.12549679,0.00008249368],"about_ca_topic_score_codex":0.0009086274,"about_ca_topic_score_gemma":0.0005246869,"teacher_disagreement_score":0.0038934667,"about_ca_system_score_codex":0.000930966,"about_ca_system_score_gemma":0.00066563796,"threshold_uncertainty_score":0.012145221},"labels":[],"label_agreement":null},{"id":"W2041364764","doi":"10.5430/ijfr.v6n2p84","title":"A Study on the Main Determination of Mortgage Risk: Evidence from Reverse Mortgage Markets","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Mortgage underwriting; Autoregressive conditional heteroskedasticity; Econometrics; Economics; Financial economics; Mortgage insurance; Actuarial science","score_opus":0.24592470596498095,"score_gpt":0.38243083264699923,"score_spread":0.13650612668201828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041364764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827178,0.0070225336,0.0026943546,0.0009907506,0.000035042678,0.000014527247,0.0001817244,0.00001646955,0.006326724],"genre_scores_gemma":[0.99540603,0.0031056488,0.00032535358,0.00008819681,0.00011031144,0.0000022314102,0.00016294658,0.0000053566637,0.00079384027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950886,0.00012885577,0.000040790295,0.00011822644,0.0001482114,0.000055089986],"domain_scores_gemma":[0.9877108,0.0070328517,0.0030704688,0.00083211495,0.0010034576,0.00035041754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013647134,0.0002526105,0.00046403497,0.00088418205,0.00029357933,0.0008623649,0.00063717336,0.0005786011,0.0046474673],"category_scores_gemma":[0.009667573,0.00015998345,0.0006440461,0.00088337157,0.0007863647,0.0016737968,0.0006291002,0.0011500502,0.0004974342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013723575,0.00066357496,0.7873895,0.0007964548,0.00078052905,0.0040974896,0.0023535986,0.004659481,0.0055067046,0.058808267,0.0037824274,0.1297895],"study_design_scores_gemma":[0.00011816771,0.0006946854,0.91828793,0.00026931072,0.0006354118,0.0022584363,0.0027200703,0.018865133,0.0040400675,0.034940597,0.017096061,0.00007423299],"about_ca_topic_score_codex":0.0024866124,"about_ca_topic_score_gemma":0.0011046635,"teacher_disagreement_score":0.0046474673,"about_ca_system_score_codex":0.00016478913,"about_ca_system_score_gemma":0.0002175581,"threshold_uncertainty_score":0.015547335},"labels":[],"label_agreement":null},{"id":"W2043171150","doi":"10.5430/ijfr.v6n2p112","title":"Financial Development, Savings and Economic Growth: Evidence from Bahrain Using VAR","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Economics; Bivariate analysis; Linkage (software); Per capita; Causality (physics); Error correction model; Real gross domestic product; Macroeconomics; Granger causality; Econometrics; Broad money; Monetary economics; Cointegration; Monetary policy","score_opus":0.1323089641051639,"score_gpt":0.36028144848592003,"score_spread":0.22797248438075612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043171150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844088,0.005991986,0.001202885,0.0017222762,0.0000820893,0.000010916604,0.0012668797,0.00004165288,0.0052724797],"genre_scores_gemma":[0.99607915,0.0022402622,0.00017057917,0.00007246517,0.00007114475,0.0000035160454,0.0009046519,0.000004747601,0.00045341798],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995364,0.00013487853,0.000037116508,0.00010304046,0.00009864273,0.00008983347],"domain_scores_gemma":[0.99614173,0.002342266,0.0008670477,0.0001339218,0.000341987,0.0001731065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012652779,0.00043332714,0.00038372664,0.0014374398,0.00055987394,0.0018122413,0.00040840288,0.0003896488,0.0021677362],"category_scores_gemma":[0.0041523576,0.00016475741,0.00054199045,0.0025869443,0.00066828093,0.0009104568,0.00079761946,0.0006951785,0.0003272737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003166127,0.00020600812,0.935596,0.00042270785,0.00062634854,0.002093957,0.0018019804,0.0055278996,0.0006764506,0.0104977405,0.0046170526,0.037617184],"study_design_scores_gemma":[0.000048622045,0.00032606043,0.93193835,0.0003842462,0.0010391035,0.00061325706,0.00874851,0.029603882,0.0015447981,0.0052382625,0.020436421,0.00007853022],"about_ca_topic_score_codex":0.052471727,"about_ca_topic_score_gemma":0.039767113,"teacher_disagreement_score":0.052471727,"about_ca_system_score_codex":0.0007351205,"about_ca_system_score_gemma":0.000989714,"threshold_uncertainty_score":0.104332626},"labels":[],"label_agreement":null},{"id":"W2043784375","doi":"10.5430/ijfr.v3n3p8","title":"The Strategic Transformation of Automobile Industry in China","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Automotive industry; Business; Production (economics); Brand strategy; Auto industry; Industrial organization; Financial crisis; Commerce; Marketing; Brand management; Economics; Engineering; Political science","score_opus":0.06916032298968657,"score_gpt":0.3537878368108755,"score_spread":0.28462751382118895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043784375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96768963,0.0006182287,0.00042424354,0.0011515827,0.00001767046,0.000044221524,0.00005597385,0.000022616923,0.02997595],"genre_scores_gemma":[0.99601126,0.00042179416,0.0001255771,0.00006748899,0.0000034690443,0.000004831708,0.000038283004,0.0000013292988,0.0033259979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958867,0.00004004828,0.000018723587,0.00003689364,0.00011723812,0.00019839474],"domain_scores_gemma":[0.9998381,0.000008475399,0.000035090347,0.000007833711,0.000048803362,0.00006171701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028875534,0.00023707765,0.00011826006,0.0010821939,0.0015860731,0.0016985831,0.00029917105,0.00040149444,0.0015404043],"category_scores_gemma":[0.00029550146,0.00013243413,0.00023123092,0.0021805002,0.0008216763,0.0007738217,0.0011204573,0.00025702457,0.00014013292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024601124,0.00024873126,0.56915486,0.00047188884,0.00008311185,0.017050097,0.05025377,0.010206335,0.019283108,0.1254438,0.013535665,0.19402267],"study_design_scores_gemma":[0.00004746027,0.00029367208,0.741956,0.00014773294,0.00007275725,0.0021890225,0.06479076,0.015124088,0.0071393703,0.012216172,0.15590774,0.00011532093],"about_ca_topic_score_codex":0.09036426,"about_ca_topic_score_gemma":0.098573044,"teacher_disagreement_score":0.09036426,"about_ca_system_score_codex":0.0052137263,"about_ca_system_score_gemma":0.008426757,"threshold_uncertainty_score":0.17967659},"labels":[],"label_agreement":null},{"id":"W2044456627","doi":"10.5430/ijfr.v4n3p35","title":"An Empirical Study of Asymmetric Pricing in Retail Gasoline and Diesel Markets in Taiwan, Japan, South Korea, and Singapore","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council","keywords":"Diesel fuel; Gasoline; Economic interventionism; Oligopoly; Government (linguistics); Economics; Intervention (counseling); Agricultural economics; Econometrics; Business; Microeconomics; Automotive engineering; Engineering; Cournot competition; Waste management","score_opus":0.045314059511188776,"score_gpt":0.3595589280689192,"score_spread":0.31424486855773043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044456627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933726,0.000020097446,0.00016328772,0.00002570076,0.0000011029302,0.0000037251564,0.000058763962,0.0000018629681,0.00038824108],"genre_scores_gemma":[0.9995235,0.000027640115,0.000080697224,0.000006600151,0.000002331311,0.0000023536998,0.00019009579,0.0000012582045,0.00016540806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994585,0.00014847046,0.00007098124,0.0000791329,0.00012456645,0.000118248325],"domain_scores_gemma":[0.9947619,0.0013156439,0.002830887,0.0002782282,0.00050809566,0.00030527153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012678982,0.00024268756,0.00033751465,0.000835025,0.00030470276,0.0011315198,0.0003738794,0.0003678951,0.00088231754],"category_scores_gemma":[0.0051104,0.000241844,0.000430787,0.0017324729,0.00042348128,0.0016793006,0.0006242082,0.000713094,0.00014100673],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014540467,0.00015232599,0.98512775,0.000029338129,0.00011483593,0.0008345533,0.00085644977,0.004398968,0.0007567778,0.0012894007,0.00028024008,0.0060140043],"study_design_scores_gemma":[0.00001942286,0.000116897136,0.9523305,0.000014257469,0.00006715495,0.00032854942,0.0030422548,0.041532047,0.0009705703,0.0005150547,0.0010322897,0.000030997173],"about_ca_topic_score_codex":0.021433815,"about_ca_topic_score_gemma":0.020849839,"teacher_disagreement_score":0.021433815,"about_ca_system_score_codex":0.0008282441,"about_ca_system_score_gemma":0.0006693968,"threshold_uncertainty_score":0.042618155},"labels":[],"label_agreement":null},{"id":"W2047351968","doi":"10.5430/ijfr.v6n1p119","title":"Is Earnings Information Superior to Net Income as a Measure of Future Earnings? A Study on Accruals and Real Earnings Management","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Profitability index; Cash flow; Earnings; Net income; Operating cash flow; Earnings management; Econometrics; Business; Measure (data warehouse); Multivariate statistics; Earnings before interest and taxes; Economics; Accounting; Finance; Computer science; Data mining","score_opus":0.01913421812727099,"score_gpt":0.3126686914308368,"score_spread":0.2935344733035658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047351968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98330355,0.0025240933,0.0035136426,0.0016537659,0.00003062391,0.000009470211,0.00017222787,0.000021529067,0.00877112],"genre_scores_gemma":[0.9986681,0.0005537232,0.00034439637,0.00004107109,0.000060050643,0.0000012183152,0.000072027724,0.000003054682,0.00025646848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887484,0.000517564,0.000068336216,0.00015280384,0.0002771074,0.00010934331],"domain_scores_gemma":[0.95575815,0.030580403,0.00958308,0.0015420959,0.0017767604,0.0007596099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038688858,0.00036475086,0.0004094576,0.0018194815,0.000249678,0.0018954517,0.00036974804,0.0005772774,0.0017216859],"category_scores_gemma":[0.02802168,0.00018779546,0.0003710848,0.0019507813,0.0014215228,0.0046692295,0.0006840546,0.000817007,0.00024034434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056724553,0.0002587815,0.9005154,0.00011458975,0.00033208338,0.00020923233,0.0006984725,0.009556968,0.0011304135,0.01563657,0.00072201237,0.0702581],"study_design_scores_gemma":[0.000029737128,0.0004876438,0.9224518,0.00016520683,0.00022840132,0.00022701971,0.0007953877,0.0426482,0.0011719606,0.02979323,0.0019399526,0.00006142591],"about_ca_topic_score_codex":0.003003963,"about_ca_topic_score_gemma":0.0020648285,"teacher_disagreement_score":0.0038688858,"about_ca_system_score_codex":0.0005894984,"about_ca_system_score_gemma":0.00048116056,"threshold_uncertainty_score":0.020460904},"labels":[],"label_agreement":null},{"id":"W2048972789","doi":"10.5430/ijfr.v5n2p19","title":"The Determinants of Risk Premia in Forward Foreign Exchange (FX) Markets","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proxy (statistics); Risk premium; Economics; Market liquidity; Econometrics; Foreign exchange; Forward rate; Foreign exchange market; Financial economics; Monetary economics; Mathematics; Interest rate; Statistics","score_opus":0.04421447380228212,"score_gpt":0.3297972786256345,"score_spread":0.2855828048233524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048972789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900662,0.0015195119,0.0046110325,0.00097352586,0.00002272238,0.000013360678,0.00020092391,0.00003586123,0.002556825],"genre_scores_gemma":[0.99832195,0.0004423556,0.00036601396,0.000016389142,0.000035709174,0.000002961209,0.00008778699,0.0000038488856,0.0007230009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997967,0.000054430824,0.000022247797,0.00003904334,0.000046193825,0.000041352825],"domain_scores_gemma":[0.9944148,0.0026710504,0.00220751,0.00017181304,0.0002543466,0.00028037268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011629033,0.00036213407,0.00037074587,0.0010359742,0.00024201653,0.0016978743,0.00020821953,0.0007449328,0.0024732735],"category_scores_gemma":[0.0064467154,0.00018565841,0.00033242517,0.00062444556,0.00050230155,0.001379325,0.00042312234,0.0010240523,0.0002996246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048670612,0.00033203326,0.7872518,0.00019313057,0.00033921827,0.0022411917,0.0009178489,0.0293695,0.011705536,0.11003844,0.0020751993,0.05504941],"study_design_scores_gemma":[0.00005744178,0.0002713227,0.8439283,0.00007541196,0.0001795601,0.001181657,0.00060707564,0.05498437,0.0044544856,0.09140639,0.0027734416,0.000080589794],"about_ca_topic_score_codex":0.0014630494,"about_ca_topic_score_gemma":0.0009942979,"teacher_disagreement_score":0.0024732735,"about_ca_system_score_codex":0.0003716298,"about_ca_system_score_gemma":0.00025410624,"threshold_uncertainty_score":0.0082739},"labels":[],"label_agreement":null},{"id":"W2053050579","doi":"10.5430/ijfr.v2n2p40","title":"Counterparty Credit Risk on a Standard Swap in “Risky Closeout”","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Credit risk; Credit valuation adjustment; Valuation (finance); Counterparty; Swap (finance); Nonlinear system; Computer science; Actuarial science; Business; Accounting; Finance; Credit reference","score_opus":0.12480113602337749,"score_gpt":0.35144207959843343,"score_spread":0.22664094357505593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053050579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34449977,0.0002527435,0.6494372,0.0002844414,0.00007204027,0.000030081244,0.000057952377,0.00015419166,0.005211612],"genre_scores_gemma":[0.9692973,0.0001235549,0.028277013,0.000035512214,0.000035045436,0.000016818047,0.000058299956,0.00003135912,0.0021250702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957854,0.00015366465,0.000019832964,0.000113763956,0.00010135191,0.00003279328],"domain_scores_gemma":[0.99901164,0.00054844015,0.0001346787,0.00011360167,0.00011171488,0.00007992137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010663011,0.00034376324,0.00058983976,0.0003963728,0.00041399334,0.0010183404,0.00057119125,0.0008186326,0.002083636],"category_scores_gemma":[0.0057803537,0.00020648546,0.00050619233,0.00032391725,0.0010597662,0.0026494963,0.0010395156,0.0010907032,0.00013198509],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013047042,0.00009165482,0.007073569,0.00007306558,0.000041533724,0.00044751563,0.00020133748,0.7840738,0.007926982,0.16770759,0.0009384491,0.03129394],"study_design_scores_gemma":[0.0000047867643,0.000020864125,0.00072090194,0.0000041814656,0.000004579199,0.00006336611,0.000012434762,0.97528505,0.0008669236,0.022740405,0.0002661714,0.00001029967],"about_ca_topic_score_codex":0.0014674768,"about_ca_topic_score_gemma":0.00085677166,"teacher_disagreement_score":0.002083636,"about_ca_system_score_codex":0.00042056438,"about_ca_system_score_gemma":0.00033783333,"threshold_uncertainty_score":0.0069704056},"labels":[],"label_agreement":null},{"id":"W2059720748","doi":"10.5430/ijfr.v3n4p33","title":"Social Responsibility Cost and Its Influence on the Profitability of Nigerian Banks","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Social responsibility; Business; Accounting; Social cost; Transparency (behavior); Order (exchange); Corporate social responsibility; Compliance (psychology); Cost accounting; Finance; Public relations; Economics; Law","score_opus":0.12300859060058904,"score_gpt":0.4065396768118199,"score_spread":0.28353108621123085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059720748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931365,0.00015948106,0.00009267259,0.00058354996,0.000008906599,0.0000075502285,0.000021351254,0.0000020316418,0.0059879734],"genre_scores_gemma":[0.9995844,0.00008688937,0.00003415042,0.000017811113,0.0000052849264,0.0000016812054,0.000007283085,5.5935976e-7,0.00026203183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982286,0.0007091726,0.000100759964,0.00008744223,0.00059826084,0.00027580088],"domain_scores_gemma":[0.9851259,0.0045401715,0.0060803476,0.0002526223,0.0022475114,0.0017534094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010918649,0.00016670284,0.00017254459,0.0008989332,0.001146664,0.0020812596,0.00015880466,0.00035215062,0.002581006],"category_scores_gemma":[0.007863895,0.00008204887,0.00013853358,0.00063033175,0.0010234851,0.0005973692,0.0008684074,0.000678949,0.00019839955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001561739,0.00030900794,0.96110046,0.000053700143,0.000057799723,0.0006728891,0.0045395223,0.0005185096,0.0005273127,0.0025195456,0.0010011758,0.028543863],"study_design_scores_gemma":[0.00000455603,0.00009706068,0.98347557,0.00005606849,0.000025774008,0.00022027995,0.011787296,0.00088593015,0.00021045134,0.0009331088,0.002283404,0.000020614683],"about_ca_topic_score_codex":0.008114191,"about_ca_topic_score_gemma":0.0117601575,"teacher_disagreement_score":0.008114191,"about_ca_system_score_codex":0.0015741669,"about_ca_system_score_gemma":0.0018366142,"threshold_uncertainty_score":0.016133904},"labels":[],"label_agreement":null},{"id":"W2063759836","doi":"10.5430/ijfr.v5n1p64","title":"On the Impact of Bond's Rating Changes on the Firm's Stock Price","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Downgrade; Bond; Stock (firearms); Event study; Monetary economics; Bond credit rating; Stock price; Abnormal return; Business; Economics; Financial economics; Financial system; Finance; Stock exchange; Credit risk","score_opus":0.12271886750690156,"score_gpt":0.3761337471811949,"score_spread":0.2534148796742933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063759836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624485,0.0003806887,0.00021608362,0.00013813046,0.00001952509,0.00000964861,0.00022107924,0.0000066268603,0.0027633535],"genre_scores_gemma":[0.99883837,0.00017485992,0.000106264946,0.000029709081,0.00001734774,0.0000027258466,0.00018769842,0.0000017360242,0.00064120843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913174,0.0002639115,0.000061283106,0.00016802183,0.0002408248,0.0001341795],"domain_scores_gemma":[0.98888284,0.0057423767,0.0036535973,0.00037072296,0.0008363774,0.0005141283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012441073,0.0001922266,0.00025310376,0.0004481699,0.00016558313,0.00090582145,0.00020839233,0.00037497058,0.0031022779],"category_scores_gemma":[0.0075957305,0.0000692888,0.00047868676,0.0004913049,0.00023922385,0.0004038246,0.00022495408,0.00084421434,0.0004270131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012627146,0.0004830408,0.95995337,0.0000779517,0.00033191533,0.000626138,0.00020051036,0.0029956386,0.004663807,0.00056099106,0.0007025127,0.028141392],"study_design_scores_gemma":[0.000009256916,0.0007494478,0.99561214,0.0000075006915,0.00009071359,0.00007581277,0.0001957798,0.0014230731,0.0012048593,0.00010267969,0.00052030396,0.00000834563],"about_ca_topic_score_codex":0.005552908,"about_ca_topic_score_gemma":0.0053176177,"teacher_disagreement_score":0.005552908,"about_ca_system_score_codex":0.00039730492,"about_ca_system_score_gemma":0.0002528117,"threshold_uncertainty_score":0.011041164},"labels":[],"label_agreement":null},{"id":"W2066288731","doi":"10.5430/ijfr.v5n1p71","title":"Seasonality of Earnings Momentum in an Emerging Market: The Taiwan Experiences","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Earnings; Stock (firearms); Economics; Earnings surprise; Post-earnings-announcement drift; Earnings response coefficient; Monetary economics; Financial economics; Finance; Geography","score_opus":0.08254309049086277,"score_gpt":0.35343585883075856,"score_spread":0.2708927683398958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066288731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842143,0.00010109748,0.000021379477,0.0002819612,0.000004718383,0.0000022994027,0.000027843385,0.0000010808105,0.0011380601],"genre_scores_gemma":[0.99942905,0.00009781801,0.000009346967,0.000031736392,0.000009002841,7.9198816e-7,0.000036743375,9.909903e-7,0.00038450293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988675,0.000019602376,0.000009980797,0.000015472131,0.000023171639,0.00004506223],"domain_scores_gemma":[0.99903023,0.00018980945,0.0004397661,0.000052293315,0.00009376805,0.000194086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406968,0.00007754557,0.00012468416,0.00039394025,0.00040601497,0.0011920672,0.00018821404,0.00032015846,0.0013868771],"category_scores_gemma":[0.0016470168,0.00007917428,0.000090624286,0.0005642306,0.0003414358,0.00076193264,0.0006426714,0.00055417453,0.00011532408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028892775,0.00017698,0.92350847,0.00004073938,0.000034831886,0.0047379183,0.035771206,0.0002560327,0.00209598,0.0024684626,0.0024303605,0.028190136],"study_design_scores_gemma":[0.000011076595,0.000110692614,0.9665544,0.000023583467,0.000012914444,0.0005551706,0.026706873,0.0008255559,0.00028324826,0.00051731826,0.0043833023,0.00001583402],"about_ca_topic_score_codex":0.013377182,"about_ca_topic_score_gemma":0.019110605,"teacher_disagreement_score":0.013377182,"about_ca_system_score_codex":0.00038555145,"about_ca_system_score_gemma":0.00030025918,"threshold_uncertainty_score":0.026598632},"labels":[],"label_agreement":null},{"id":"W2068021043","doi":"10.5430/ijfr.v4n3p127","title":"Financialization of Turkey Industry Sector","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financialization; Economics; Stock exchange; Index (typography); Financial market; Capital market; Debt; Finance; Business; Financial system; Financial economics","score_opus":0.09029797181276214,"score_gpt":0.33132335545283126,"score_spread":0.24102538364006912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068021043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894085,0.00065467507,0.00014101971,0.00024022603,0.000010925802,0.000010417224,0.0005944957,0.000010261452,0.008929332],"genre_scores_gemma":[0.9982439,0.00033226592,0.000056933244,0.00002099897,0.000008990192,0.0000027834387,0.0004826448,0.0000014899838,0.000849937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964154,0.000049884944,0.00003632448,0.00005333149,0.00010181877,0.000117086776],"domain_scores_gemma":[0.99915147,0.0000825896,0.00042894366,0.000022837487,0.00023589979,0.000078280966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035111295,0.00016121466,0.00010926471,0.0015699391,0.0002258018,0.0009949508,0.0001858986,0.00020187444,0.0027408975],"category_scores_gemma":[0.0008772547,0.00007087949,0.00014452422,0.0013882404,0.00027875742,0.0004839081,0.00039534242,0.00021449696,0.0003712359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030369687,0.00011984098,0.89953345,0.00018606812,0.000045765988,0.0011969786,0.0016057461,0.002525449,0.0022481,0.009206545,0.0057772137,0.07725122],"study_design_scores_gemma":[0.000003882545,0.000050544553,0.98959374,0.000034259177,0.0000087988365,0.00027468582,0.0018041837,0.0011279456,0.0005323068,0.00038269645,0.0061793737,0.000007590505],"about_ca_topic_score_codex":0.009780329,"about_ca_topic_score_gemma":0.005573867,"teacher_disagreement_score":0.009780329,"about_ca_system_score_codex":0.0013603255,"about_ca_system_score_gemma":0.000754521,"threshold_uncertainty_score":0.01944679},"labels":[],"label_agreement":null},{"id":"W2070472016","doi":"10.5430/ijfr.v5n2p175","title":"Developing Corporate Governance Index for Vietnamese Banking System","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Shareholder; Accounting; Corporate governance; Business; Transparency (behavior); Audit; Supervisory board; Index (typography); Computer science; Finance; Computer security","score_opus":0.08595397450065209,"score_gpt":0.32871892796836827,"score_spread":0.24276495346771618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070472016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97143555,0.0004677391,0.008695381,0.0004302703,0.0000587037,0.00057466706,0.0026688448,0.00008571955,0.015583239],"genre_scores_gemma":[0.98604035,0.00020363144,0.009353139,0.00003081264,0.000022660286,0.00023985388,0.0026440325,0.0000068793215,0.0014585624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940515,0.00016461319,0.00010006753,0.00009288651,0.00014649479,0.00009077635],"domain_scores_gemma":[0.99792933,0.00034665357,0.00065333076,0.00008277068,0.0006744137,0.00031351938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010541596,0.00028180075,0.00024027948,0.0037280368,0.00035706017,0.0010394423,0.00023018739,0.00021178012,0.0021150573],"category_scores_gemma":[0.0031275558,0.00011004622,0.00022696069,0.0026084015,0.00018926157,0.0007670964,0.000605827,0.00028819457,0.00022756046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002986408,0.00016433097,0.911445,0.000112069,0.000056564462,0.00018033189,0.0009408298,0.0013433252,0.0008905721,0.001667275,0.004015009,0.07915475],"study_design_scores_gemma":[0.000014824016,0.00022888802,0.97520137,0.000082520084,0.00004497866,0.0001694968,0.0027643193,0.011473547,0.00077036803,0.0010270765,0.008207304,0.000015324278],"about_ca_topic_score_codex":0.0070490343,"about_ca_topic_score_gemma":0.009303924,"teacher_disagreement_score":0.0070490343,"about_ca_system_score_codex":0.0010704263,"about_ca_system_score_gemma":0.0012211057,"threshold_uncertainty_score":0.014015973},"labels":[],"label_agreement":null},{"id":"W2076543165","doi":"10.5430/ijfr.v2n2p33","title":"An Empirical Study on the Relationship between Foreign Investment and International Trade in Bangladesh","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Foreign direct investment; Economics; Granger causality; Scarcity; International economics; Investment (military); Population; Causality (physics); International trade; Macroeconomics; Econometrics; Political science; Market economy","score_opus":0.4929786683655398,"score_gpt":0.4101200673400067,"score_spread":0.08285860102553305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076543165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930374,0.00031823013,0.00008516738,0.00039001304,0.00000622157,0.0000099848185,0.00036817073,0.0000026175921,0.0057820585],"genre_scores_gemma":[0.99691725,0.0006333616,0.00006238345,0.000042015807,0.000006885238,0.00000823989,0.0004285559,0.0000016558361,0.0018996852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997298,0.00009046485,0.000028402384,0.000032613654,0.00003858582,0.00008012059],"domain_scores_gemma":[0.99418205,0.003573538,0.0011508391,0.000115870054,0.00039268378,0.00058512506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005739254,0.00024190004,0.00026129518,0.0008113636,0.0005478486,0.0012240909,0.00022958026,0.0005194051,0.0062564192],"category_scores_gemma":[0.0032544027,0.00017599578,0.00031060487,0.0024406663,0.0005372636,0.00085514376,0.00041355475,0.00089715596,0.0009135576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007853766,0.00016745209,0.99141836,0.00004899262,0.00005406794,0.00065887085,0.0009256195,0.0003525244,0.00019986136,0.0010532412,0.0006492891,0.0043931655],"study_design_scores_gemma":[0.000012340263,0.00016593254,0.979983,0.00009435248,0.00007170788,0.0005273667,0.013810895,0.0015938169,0.00024901394,0.00039971876,0.0030766262,0.000015182952],"about_ca_topic_score_codex":0.016978925,"about_ca_topic_score_gemma":0.021856818,"teacher_disagreement_score":0.016978925,"about_ca_system_score_codex":0.0010152076,"about_ca_system_score_gemma":0.0008095796,"threshold_uncertainty_score":0.03376019},"labels":[],"label_agreement":null},{"id":"W2083870657","doi":"10.5430/ijfr.v6n1p101","title":"Pricing Model for Financial Guaranty Products Using Actuarial Methodology and Most Prudent Principle","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Surety; Geometric Brownian motion; Actuarial science; Econometrics; Economics; Financial services; Calibration; Finance; Mathematics; Statistics","score_opus":0.3037704907367653,"score_gpt":0.4335137545751141,"score_spread":0.12974326383834878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083870657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05802365,0.0013124404,0.92108697,0.0017055105,0.00018448645,0.00008327176,0.00034002966,0.00022147642,0.017042106],"genre_scores_gemma":[0.92990935,0.0015671161,0.033370055,0.00023115668,0.00031723874,0.00022839283,0.0004204709,0.000080369246,0.03387579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999238,0.00022875269,0.000041225245,0.00016532977,0.00019869962,0.0001280459],"domain_scores_gemma":[0.9991284,0.00037319315,0.00015052382,0.000046039364,0.00021260022,0.00008924078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018157692,0.0010171449,0.0013207009,0.0010488704,0.0007037276,0.0022765258,0.0030098069,0.0025431798,0.0054557933],"category_scores_gemma":[0.003009904,0.00070829206,0.0016526153,0.001149272,0.0011161689,0.0029681157,0.0009113632,0.0021054358,0.0006352336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003291948,0.00004123212,0.00093198783,0.0000614119,0.00004591707,0.0004108499,0.00010968673,0.8367207,0.0010039359,0.15143578,0.0018267197,0.007378743],"study_design_scores_gemma":[0.0000075041935,0.00000850979,0.00015644208,0.000003687068,0.000010259697,0.000037772214,0.0000071169734,0.9874117,0.000040275514,0.01199769,0.0003093795,0.000009709778],"about_ca_topic_score_codex":0.010784313,"about_ca_topic_score_gemma":0.0044027017,"teacher_disagreement_score":0.010784313,"about_ca_system_score_codex":0.0012460379,"about_ca_system_score_gemma":0.0014648939,"threshold_uncertainty_score":0.021443129},"labels":[],"label_agreement":null},{"id":"W2083992902","doi":"10.5430/ijfr.v6n2p54","title":"Managerial Ability and Internal Control Quality: Evidence from China","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Control (management); China; Business; Corporate governance; Accounting; Internal audit; Internal control; Quality control; Quality audit; Audit; Economics; Finance; Management","score_opus":0.06903629497479112,"score_gpt":0.36918518079625057,"score_spread":0.30014888582145943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083992902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983607,0.00041403234,0.000049136594,0.00018937045,0.0000042538836,0.0000046747323,0.00020929558,0.0000016198484,0.0007669054],"genre_scores_gemma":[0.999356,0.00020874118,0.000020615476,0.00002948042,0.00000663077,0.0000016048638,0.00019995112,6.222836e-7,0.00017640881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992354,0.000105842046,0.00011284635,0.00013118499,0.00023231562,0.00018248596],"domain_scores_gemma":[0.99481165,0.0008867376,0.002490905,0.00034295046,0.0007856371,0.0006820694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014259652,0.00027075576,0.0002456504,0.0017764025,0.00059399736,0.00087989034,0.00037105245,0.00028178302,0.0016819863],"category_scores_gemma":[0.0024371163,0.00017894126,0.00060160534,0.002342973,0.0007317007,0.00048846763,0.0007622852,0.00040478812,0.00011081557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021507702,0.00003208216,0.99533373,0.000033316108,0.00008347622,0.00013061981,0.0005129891,0.00008466125,0.0000924425,0.00018406245,0.00020094404,0.0032901876],"study_design_scores_gemma":[0.0000028078243,0.000015778964,0.99917114,0.000010187471,0.00002677297,0.00002478129,0.00029775448,0.00013674407,0.00004612536,0.00002623276,0.0002387526,0.000002933902],"about_ca_topic_score_codex":0.08651915,"about_ca_topic_score_gemma":0.117480375,"teacher_disagreement_score":0.08651915,"about_ca_system_score_codex":0.0010018336,"about_ca_system_score_gemma":0.0015859123,"threshold_uncertainty_score":0.1720311},"labels":[],"label_agreement":null},{"id":"W2085547487","doi":"10.5430/ijfr.v5n2p102","title":"On the Establishment of Green Fiscal Transfer Payment Mechanism in Northwest Ethnic Regions of China","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"China; Transfer payment; Ethnic group; Payment; Mechanism (biology); Socialism; Civilization; Business; Resource (disambiguation); Ethnic culture; Economic system; Ecological civilization; Environmental resource management; Natural resource economics; Environmental economics; Economics; Political science; Computer science; Finance; Market economy","score_opus":0.0851380167441829,"score_gpt":0.3173050792965491,"score_spread":0.2321670625523662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085547487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838303,0.00014170908,0.001671858,0.0022538872,0.000026181266,0.00008917311,0.0000652817,0.000015796171,0.011905889],"genre_scores_gemma":[0.99754804,0.000083021085,0.00067408726,0.000085495354,0.0000073562032,0.000018080207,0.000024233223,0.0000014896781,0.0015582012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901366,0.00034024927,0.00005225989,0.00008910833,0.00012308905,0.0003815613],"domain_scores_gemma":[0.99927706,0.00012758684,0.00017371197,0.000040792896,0.00019221946,0.00018863594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020535921,0.00014654637,0.0002506129,0.0004911888,0.0018054525,0.0016823283,0.00080157554,0.00067141344,0.001812707],"category_scores_gemma":[0.0020034972,0.00014274458,0.00023696534,0.0005341987,0.0006313461,0.0010030154,0.0012472782,0.00055497664,0.00009187563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080289535,0.0009184225,0.42628038,0.0003729045,0.00015569743,0.0055760453,0.008498017,0.04448092,0.007404113,0.38656354,0.017272959,0.101674125],"study_design_scores_gemma":[0.00058807095,0.000633413,0.6248246,0.0003628809,0.000384583,0.0007954054,0.036491662,0.18436062,0.007452554,0.070258275,0.073575534,0.00027249183],"about_ca_topic_score_codex":0.08116422,"about_ca_topic_score_gemma":0.07290867,"teacher_disagreement_score":0.08116422,"about_ca_system_score_codex":0.0045162947,"about_ca_system_score_gemma":0.012776401,"threshold_uncertainty_score":0.16138357},"labels":[],"label_agreement":null},{"id":"W2089376242","doi":"10.5430/ijfr.v4n1p120","title":"Determinants and Impacts of Internal Credit Rating","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Profitability index; Credit rating; Predictive power; Capital structure; Variables; Business; Econometrics; Economics; Monetary economics; Actuarial science; Statistics; Finance; Mathematics","score_opus":0.05882756449213362,"score_gpt":0.36150069419990755,"score_spread":0.30267312970777394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089376242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829715,0.0005002272,0.00076457753,0.00063555763,0.00001865091,0.000033290788,0.00029324504,0.000046059075,0.014736901],"genre_scores_gemma":[0.9990729,0.00005929887,0.00006657316,0.000018929482,0.000015926638,0.0000015870426,0.00006710554,0.0000039832853,0.0006936477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981096,0.0007351849,0.00018912287,0.0002143609,0.00044878613,0.00030300478],"domain_scores_gemma":[0.9393226,0.024932887,0.023359815,0.0031854848,0.0051558367,0.0040433807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022031823,0.0002096243,0.00030888442,0.0011974837,0.00027089028,0.0020430244,0.00036599557,0.0004912438,0.006360535],"category_scores_gemma":[0.026053015,0.00010538876,0.00038751325,0.0014880409,0.000560085,0.0007723619,0.0007143752,0.0011303782,0.00072644633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009028973,0.00019947544,0.98376715,0.000020967791,0.00003733068,0.00017890705,0.00015066864,0.0004155061,0.00022297111,0.00066690054,0.0004090358,0.013840651],"study_design_scores_gemma":[0.000004021149,0.00008249324,0.9966427,0.00002254517,0.00003142068,0.00019276598,0.00031174158,0.0013953932,0.00016314311,0.00046969688,0.00067641225,0.000007753672],"about_ca_topic_score_codex":0.004568774,"about_ca_topic_score_gemma":0.0037545946,"teacher_disagreement_score":0.006360535,"about_ca_system_score_codex":0.0004186769,"about_ca_system_score_gemma":0.0004841974,"threshold_uncertainty_score":0.021278083},"labels":[],"label_agreement":null},{"id":"W2090413812","doi":"10.5430/ijfr.v6n2p139","title":"Empirical Analysis of Firm Attributes before and after the Sarbanes-Oxley Act","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Sarbanes–Oxley Act; Leverage (statistics); Listing (finance); Business; Accounting; Profitability index; Legislation; Voluntary disclosure; Cross listing; Monetary economics; Finance; Economics; Statistics; Law","score_opus":0.10201896295962243,"score_gpt":0.3737251061006818,"score_spread":0.2717061431410594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090413812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980932,0.00011438075,0.000049204544,0.0001300602,0.000009228355,0.000010494741,0.00051214645,0.000003431218,0.0010778088],"genre_scores_gemma":[0.99706763,0.00009680622,0.00004156847,0.000032766602,0.00002033485,0.000009274155,0.0016585998,0.000001858893,0.0010711661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989993,0.00013352845,0.00011159636,0.00015907273,0.000296347,0.0003001996],"domain_scores_gemma":[0.96848565,0.005867717,0.019896528,0.00066394295,0.0018937096,0.0031924504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015303158,0.00019934785,0.0003010018,0.0016576066,0.0006497242,0.0017854561,0.00047449843,0.0007895514,0.0024398724],"category_scores_gemma":[0.007274865,0.00014339572,0.00030948225,0.0023165739,0.0005851318,0.00089119765,0.00073252147,0.001466941,0.0006828708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068256,0.00009338889,0.9965669,0.000007269829,0.000014872546,0.0001505045,0.0001981354,0.00016467989,0.00009514404,0.00009153264,0.0003081544,0.0022410343],"study_design_scores_gemma":[0.0000013089598,0.000043212403,0.9987613,0.0000054564343,0.0000035434118,0.00003175099,0.00045564355,0.00022007652,0.00005711582,0.000022292705,0.00039495266,0.000003383805],"about_ca_topic_score_codex":0.019549852,"about_ca_topic_score_gemma":0.037378494,"teacher_disagreement_score":0.019549852,"about_ca_system_score_codex":0.0010459372,"about_ca_system_score_gemma":0.0007192632,"threshold_uncertainty_score":0.038872123},"labels":[],"label_agreement":null},{"id":"W2092710452","doi":"10.5430/ijfr.v4n4p146","title":"Financial Management in Local Government: The Nigeria Experience","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Treasury; Local government; Finance; Public finance; Business; Financial management; Government (linguistics); Statutory law; Population; State (computer science); Central government; Economics; Public administration; Political science","score_opus":0.05910569147964851,"score_gpt":0.3168379721699114,"score_spread":0.2577322806902629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092710452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97227603,0.0028675152,0.00007836304,0.008342892,0.00007206656,0.000020981708,0.000027428616,0.000007639982,0.016307093],"genre_scores_gemma":[0.9922609,0.002362865,0.000055788747,0.0007310135,0.000013928937,0.000008716414,0.000011814314,0.000004455221,0.0045504407],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9990074,0.0005015739,0.000043534394,0.000037951067,0.00007210128,0.00033749436],"domain_scores_gemma":[0.99819726,0.00031869186,0.00016743141,0.000041207604,0.0001774168,0.001098031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015934099,0.00017386513,0.00021291578,0.00043067304,0.008155068,0.00301962,0.00039762928,0.0009487131,0.004764536],"category_scores_gemma":[0.0019321193,0.00024580455,0.00010929993,0.00094744656,0.0034797483,0.001627291,0.0022373802,0.0019383692,0.00038002868],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001579485,0.000738511,0.10480359,0.00056840014,0.00001648577,0.014407979,0.7746933,0.00038109667,0.0012178797,0.025253655,0.015639713,0.062121384],"study_design_scores_gemma":[0.000009518594,0.00018973154,0.032171454,0.00065535237,0.000008649537,0.0018077533,0.89945483,0.00011130131,0.00021948038,0.00078332174,0.06456522,0.00002343711],"about_ca_topic_score_codex":0.03563265,"about_ca_topic_score_gemma":0.10298698,"teacher_disagreement_score":0.03563265,"about_ca_system_score_codex":0.0053882436,"about_ca_system_score_gemma":0.0071526766,"threshold_uncertainty_score":0.07085049},"labels":[],"label_agreement":null},{"id":"W2097717037","doi":"10.5430/ijfr.v4n4p83","title":"Financial Statement Management, Liability Reduction and Asset Accumulation: An Application of Goal Programming Model to a Nigerian Bank","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial statement; Liability; Statement (logic); Financial statement analysis; Business; Finance; Shareholder; Asset (computer security); Actuarial science; Goal programming; Bank statement; Financial ratio; Economics; Accounting; Computer science; Operations research; Corporate governance; Engineering","score_opus":0.060073445682017126,"score_gpt":0.3976336304549813,"score_spread":0.3375601847729642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097717037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8321594,0.0003760169,0.14889331,0.001363948,0.000048001602,0.00023679617,0.00021364332,0.000099623394,0.016609218],"genre_scores_gemma":[0.9628875,0.0002744463,0.03462658,0.000057023077,0.000009462037,0.00011990014,0.00005847045,0.000011887276,0.0019546365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954754,0.00029145536,0.000013023252,0.000038319835,0.000034716384,0.0000749914],"domain_scores_gemma":[0.9986382,0.0011092682,0.00007980354,0.000016349524,0.000095297786,0.000061041326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273389,0.0006152089,0.0006096381,0.0005514188,0.00072776014,0.001511661,0.0006198576,0.0013059668,0.0017601497],"category_scores_gemma":[0.0019876095,0.0003232885,0.0006056715,0.0006978914,0.0005913602,0.0006724803,0.000879189,0.0011305942,0.00008927056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001414158,0.00020553441,0.0033292081,0.00008482032,0.00003478092,0.00040049222,0.0002331639,0.9786587,0.00043325117,0.0068889908,0.00047077992,0.009118917],"study_design_scores_gemma":[0.000019468785,0.00009424456,0.0007784878,0.000017035478,0.000016973789,0.000023548966,0.00025779495,0.9955076,0.00020808137,0.0027267386,0.00034037535,0.000009618584],"about_ca_topic_score_codex":0.022166232,"about_ca_topic_score_gemma":0.01968827,"teacher_disagreement_score":0.022166232,"about_ca_system_score_codex":0.0015440314,"about_ca_system_score_gemma":0.002567637,"threshold_uncertainty_score":0.044074416},"labels":[],"label_agreement":null},{"id":"W2097947468","doi":"10.5430/ijfr.v6n1p14","title":"Bank Interest Margin and Default Risk under Basel III Capped Capital Adequacy Accord and Regulatory Deposit Insurance Fund Protection","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital requirement; Deposit insurance; Capital adequacy ratio; Financial system; Business; Finance; Basel III; Risk-adjusted return on capital; Credit risk; Net interest margin; Economics; Financial capital; Capital formation; Return on assets; Profit (economics)","score_opus":0.0672892375558845,"score_gpt":0.3081033733527247,"score_spread":0.2408141357968402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097947468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582357,0.0006522436,0.027976945,0.00064283423,0.0000430063,0.000032769745,0.00015439487,0.000078896905,0.012183225],"genre_scores_gemma":[0.99875045,0.00010301897,0.0005907084,0.000017655504,0.0000138731575,0.00000800033,0.000024569465,0.0000034028224,0.00048820922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99852127,0.0006060557,0.00006263566,0.00021511996,0.00017103099,0.00042391295],"domain_scores_gemma":[0.9890694,0.00541696,0.003963259,0.0004275465,0.0005886089,0.0005342774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034859693,0.0006779307,0.000686628,0.000588542,0.00028539056,0.0021007005,0.0006673711,0.0013945935,0.001933292],"category_scores_gemma":[0.012686725,0.00030855215,0.00057068845,0.0003934732,0.0017361086,0.0020945927,0.0007675433,0.0018060164,0.00022106095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028403392,0.0007212977,0.056304473,0.00023522673,0.0002522155,0.0016950108,0.00048377414,0.62596714,0.014004734,0.26845482,0.00333514,0.025705818],"study_design_scores_gemma":[0.00034863598,0.0012428748,0.04855408,0.00008223542,0.00027297152,0.0005605752,0.0005011043,0.80824643,0.005160219,0.13362963,0.0012633632,0.00013789334],"about_ca_topic_score_codex":0.0026552256,"about_ca_topic_score_gemma":0.0014138483,"teacher_disagreement_score":0.0034859693,"about_ca_system_score_codex":0.0012981286,"about_ca_system_score_gemma":0.000943314,"threshold_uncertainty_score":0.018435776},"labels":[],"label_agreement":null},{"id":"W2099125878","doi":"10.5430/ijfr.v1n1p55","title":"Development of Actively Managed Exchange Traded Funds and the Revelation to Chinese Financial Market","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Revelation; Finance; Financial market; Product (mathematics)","score_opus":0.06407181124716727,"score_gpt":0.32316646825939166,"score_spread":0.2590946570122244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099125878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281151,0.005477798,0.0048801852,0.008355709,0.00007778236,0.00004728445,0.00007951825,0.000027409475,0.052939266],"genre_scores_gemma":[0.9960381,0.0008331814,0.0005610079,0.00011167985,0.00004750954,0.000007013922,0.000010611573,0.0000014752006,0.0023895076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.999585,0.00012666521,0.000024189996,0.000061226936,0.00010871178,0.00009428268],"domain_scores_gemma":[0.99904734,0.0002801539,0.0003199891,0.000058199923,0.00015184494,0.0001423843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015600036,0.00012984424,0.00017106923,0.00083752075,0.00072487694,0.0023629025,0.00041930683,0.00084349426,0.0021166117],"category_scores_gemma":[0.0034467147,0.000107726315,0.00026062017,0.000619781,0.0014449216,0.003076857,0.00073519687,0.0004782483,0.000066179375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014532993,0.00005269448,0.037429746,0.00016039849,0.000027724323,0.0012626454,0.003792751,0.0013721064,0.0017717208,0.8990637,0.0031459974,0.05177511],"study_design_scores_gemma":[0.00021530896,0.0004833049,0.26473036,0.0004003549,0.00013361343,0.0030357132,0.009435063,0.04159838,0.006932098,0.48630863,0.18658713,0.00014006761],"about_ca_topic_score_codex":0.0041157166,"about_ca_topic_score_gemma":0.0025001431,"teacher_disagreement_score":0.0041157166,"about_ca_system_score_codex":0.0018342931,"about_ca_system_score_gemma":0.001468175,"threshold_uncertainty_score":0.0133087635},"labels":[],"label_agreement":null},{"id":"W2101438000","doi":"10.5430/ijfr.v4n4p1","title":"Does FX Volatility Affect the Distributions of Commodity Futures Returns?","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Futures contract; Volatility (finance); Currency; Monetary economics; Spillover effect; Autoregressive conditional heteroskedasticity; Market liquidity; Exchange rate; Commodity; Emerging markets; Financial economics; Macroeconomics; Finance","score_opus":0.05221628778948715,"score_gpt":0.336034023010335,"score_spread":0.28381773522084786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101438000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915439,0.0001760013,0.0062497184,0.00032422232,0.000014820519,0.000008312527,0.00009475281,0.00003978625,0.0015485501],"genre_scores_gemma":[0.9994097,0.0000702405,0.00022205076,0.00001673826,0.000017349967,0.0000013651386,0.000053526834,0.000006489821,0.00020248476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999619,0.00012784441,0.000020928705,0.00009119201,0.0000507259,0.0000902044],"domain_scores_gemma":[0.9919376,0.005931594,0.0012695309,0.00044643274,0.00021508496,0.00019971124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023986436,0.00031723708,0.00053282495,0.0007299588,0.00025972296,0.001377602,0.00051014725,0.0008489175,0.0016983981],"category_scores_gemma":[0.017967395,0.00028596335,0.0006014669,0.0005904498,0.00055975653,0.0016468226,0.0005571818,0.0009024282,0.0002301637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084356824,0.00020364445,0.8160635,0.000083347,0.0005692278,0.0012382899,0.00071997114,0.088464595,0.012708041,0.032873824,0.00088987115,0.045342132],"study_design_scores_gemma":[0.000049518476,0.00024683384,0.546,0.000021206975,0.00017462051,0.000587602,0.00049529935,0.4214876,0.0044169533,0.025593601,0.00085783843,0.00006882242],"about_ca_topic_score_codex":0.0041370043,"about_ca_topic_score_gemma":0.0020228992,"teacher_disagreement_score":0.0041370043,"about_ca_system_score_codex":0.00042291972,"about_ca_system_score_gemma":0.00029005794,"threshold_uncertainty_score":0.0126853585},"labels":[],"label_agreement":null},{"id":"W2102204582","doi":"10.5430/ijfr.v1n1p30","title":"Enactment of Default Point in KMV Model on CMBC, SPDB, CMB, Huaxia Bank and SDB","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"China; Default; Point (geometry); Default risk; Debt; Term (time); Financial system; Business; Economics; Actuarial science; Finance; Mathematics; Credit risk; Geography","score_opus":0.07446004822030829,"score_gpt":0.3560199592935314,"score_spread":0.28155991107322315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102204582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8914879,0.0003877265,0.09303638,0.001316063,0.000054507298,0.00006685255,0.0006371753,0.00019183678,0.012821585],"genre_scores_gemma":[0.99409807,0.000092277565,0.0021980882,0.000032138065,0.000011163939,0.000030832685,0.00022264961,0.000013906448,0.003300933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950194,0.00016087992,0.000023453329,0.00013621876,0.00005152939,0.00012598933],"domain_scores_gemma":[0.99832207,0.0008313694,0.00029234856,0.00008718553,0.0002810151,0.00018601582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017087173,0.00050386577,0.00096725,0.0006286714,0.00049095496,0.0014867279,0.0015983635,0.001565519,0.0037664298],"category_scores_gemma":[0.0047530904,0.00041535718,0.00088664715,0.00042893467,0.0006083988,0.0019509057,0.000777466,0.0015632698,0.00022427735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011805829,0.000064302236,0.015292354,0.00005248516,0.00004645336,0.00037792488,0.00018719757,0.9319199,0.00038595995,0.043645702,0.0020247593,0.0058849053],"study_design_scores_gemma":[0.000022143196,0.000020837011,0.001683851,0.000007862939,0.000011660336,0.000030432091,0.000053727137,0.9900121,0.000083402665,0.007816433,0.00024886025,0.000008692689],"about_ca_topic_score_codex":0.030764721,"about_ca_topic_score_gemma":0.014432054,"teacher_disagreement_score":0.030764721,"about_ca_system_score_codex":0.0018011172,"about_ca_system_score_gemma":0.0011280059,"threshold_uncertainty_score":0.061171293},"labels":[],"label_agreement":null},{"id":"W2102524463","doi":"10.5430/ijfr.v2n1p64","title":"Correlational and Differential Influence of Historical Cost and Current Cost Profits on the Operating Capabilities of the Firm","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting Theory and Financial Reporting","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustenance; Profit (economics); Earnings before interest and taxes; Differential (mechanical device); Economics; Opportunity cost; Industrial organization; Value (mathematics); Index (typography); Microeconomics; Business; Econometrics; Finance; Statistics; Computer science","score_opus":0.08935679807274123,"score_gpt":0.32369456222760973,"score_spread":0.2343377641548685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102524463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868065,0.000054438136,0.00017736683,0.000026843307,0.0000028183247,0.0000036402892,0.000043900407,0.000002052061,0.0010081761],"genre_scores_gemma":[0.9998332,0.000019345289,0.000034621255,0.0000023665718,0.00000297812,8.23155e-7,0.000030467401,7.278672e-7,0.00007543135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692327,0.0010111714,0.00025727306,0.0004271414,0.0009885882,0.000392603],"domain_scores_gemma":[0.9395256,0.041582104,0.010760469,0.0027837257,0.0038212081,0.0015269453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021337576,0.00015741614,0.0002000251,0.0009717154,0.00024238417,0.0010609395,0.0002207991,0.00017363949,0.0014532338],"category_scores_gemma":[0.02443543,0.0001493117,0.00030793354,0.001122246,0.00072011055,0.0005969378,0.0006519659,0.00048051612,0.00018316405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010781982,0.000030831,0.99313605,0.000006752821,0.00006459236,0.000167712,0.00027401128,0.0005618385,0.00035526324,0.00018893032,0.000038271202,0.005068083],"study_design_scores_gemma":[8.540185e-7,0.000052558185,0.99818915,0.0000033366734,0.000021985637,0.00010307671,0.0002561246,0.00092988,0.00023723485,0.00008422517,0.00011544814,0.0000061694805],"about_ca_topic_score_codex":0.0036415241,"about_ca_topic_score_gemma":0.003783182,"teacher_disagreement_score":0.0036415241,"about_ca_system_score_codex":0.0004538731,"about_ca_system_score_gemma":0.0005433026,"threshold_uncertainty_score":0.01128453},"labels":[],"label_agreement":null},{"id":"W2102773466","doi":"10.5430/ijfr.v6n4p134","title":"Low Pension Participation among Minority Workers in the U.S.","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pension; Survey of Income and Program Participation; Demographic economics; Multivariate statistics; Multivariate analysis; Demography; Gerontology; Actuarial science; Psychology; Business; Economics; Medicine; Sociology; Statistics; Finance","score_opus":0.48683278592958223,"score_gpt":0.5573690394928479,"score_spread":0.07053625356326565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102773466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928564,0.00004507063,0.000049769456,0.00007906476,0.000001951443,0.0000020828227,0.0001044055,0.0000016666696,0.0004304506],"genre_scores_gemma":[0.99929714,0.000067871326,0.00005118601,0.000021730146,0.000004052212,0.0000036867668,0.00015153119,8.8699704e-7,0.00040186764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998776,0.000040183175,0.00000835422,0.000020857555,0.000019782483,0.000033203625],"domain_scores_gemma":[0.9994382,0.00012501223,0.00025224785,0.000025265752,0.000038908747,0.00012026597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004929235,0.00017069155,0.00013569716,0.0007741975,0.00047696647,0.00070499233,0.00019449578,0.00018022192,0.001982767],"category_scores_gemma":[0.0013423739,0.00010181578,0.00022691394,0.00047167475,0.00019899652,0.00033425438,0.00044796107,0.00031546937,0.0002968736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018546738,0.000042544736,0.9971777,0.000003168972,0.0000127776575,0.0000230952,0.00015934517,0.000076948105,0.000077167904,0.00006944545,0.000083310784,0.0022558856],"study_design_scores_gemma":[0.0000037208235,0.00005330253,0.995458,0.000020656787,0.000021443024,0.00006443705,0.0022110157,0.0013119108,0.00010074946,0.00016484104,0.00058675243,0.000003281111],"about_ca_topic_score_codex":0.040465366,"about_ca_topic_score_gemma":0.08632893,"teacher_disagreement_score":0.040465366,"about_ca_system_score_codex":0.00038825203,"about_ca_system_score_gemma":0.0005274211,"threshold_uncertainty_score":0.080459654},"labels":[],"label_agreement":null},{"id":"W2104334566","doi":"10.5430/ijfr.v5n2p151","title":"Do Workers’ Remittances Promote Financial Development in Sub-Sahara Africa Countries?","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial intermediary; Economics; Financial sector development; Inflation (cosmology); Panel data; Financial deepening; Financial globalization; Government (linguistics); Financial sector; Globalization; Generalized method of moments; Monetary economics; Financial system; Finance; Market economy","score_opus":0.04966329133494455,"score_gpt":0.38903140770450434,"score_spread":0.33936811636955977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104334566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99592566,0.001021209,0.000050407452,0.0010760741,0.000008367243,0.000003543948,0.00016472515,0.0000020589268,0.0017481146],"genre_scores_gemma":[0.9988624,0.000601359,0.00002368861,0.000040114555,0.000010130522,0.0000017971221,0.00004158036,4.985633e-7,0.00041856154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973875,0.000076829434,0.0000125982215,0.000024265766,0.000023054346,0.00012447858],"domain_scores_gemma":[0.99838865,0.0003833457,0.00088156015,0.000035599383,0.00008955831,0.00022134316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046530887,0.00016355467,0.00017436552,0.0005242739,0.00033039108,0.0009310317,0.00016424136,0.00043277154,0.0028105862],"category_scores_gemma":[0.001972546,0.00012716399,0.00025351386,0.00068503356,0.0003954253,0.0006135558,0.00067259825,0.00044879984,0.0002830712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013506682,0.00006726861,0.9780977,0.00008706666,0.00007598827,0.0006283194,0.0020585412,0.000720482,0.00040578304,0.0013583308,0.00060604024,0.015759416],"study_design_scores_gemma":[0.000005506811,0.00006080055,0.9925822,0.00006385877,0.000032741682,0.00007264011,0.0040277704,0.0003569746,0.00016857551,0.0003138737,0.0023101047,0.0000049345035],"about_ca_topic_score_codex":0.018608034,"about_ca_topic_score_gemma":0.026289586,"teacher_disagreement_score":0.018608034,"about_ca_system_score_codex":0.00044688518,"about_ca_system_score_gemma":0.00057349005,"threshold_uncertainty_score":0.036999464},"labels":[],"label_agreement":null},{"id":"W2105404032","doi":"10.5430/ijfr.v4n4p52","title":"Attracting Chinese Foreign Direct Investment (FDI) to Africa: Determinants and Policies - The Case of Guinea","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southeast University","keywords":"Foreign direct investment; Openness to experience; Order (exchange); Independence (probability theory); China; Language change; Economics; International economics; Development economics; Business; Macroeconomics; Political science","score_opus":0.06473789513115183,"score_gpt":0.36129888850076847,"score_spread":0.2965609933696166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105404032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494123,0.00027672356,0.000033369663,0.0006408069,0.000002764579,0.000008166475,0.000029078989,0.0000012505577,0.0040666983],"genre_scores_gemma":[0.99890316,0.00047224926,0.000036629604,0.000045258275,0.0000020708153,0.000006060013,0.000014331095,5.634874e-7,0.0005196801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997626,0.000049982944,0.000008876239,0.000014820951,0.000019960837,0.00014387423],"domain_scores_gemma":[0.99916553,0.00023582597,0.0002612328,0.000030886644,0.00010301462,0.0002035098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006180813,0.00021492197,0.00014542899,0.0011710029,0.0008600885,0.0012038901,0.0002517699,0.00032563106,0.0026157808],"category_scores_gemma":[0.0010759948,0.000119703895,0.0002264104,0.001737041,0.0008855758,0.00078083423,0.000767064,0.00036471034,0.00014974385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012890849,0.00018557302,0.9279604,0.00023586942,0.00006677654,0.0051902467,0.009446537,0.0015881464,0.0019209188,0.025265431,0.00092642783,0.027084725],"study_design_scores_gemma":[0.00002337951,0.00016144976,0.9493072,0.0002925907,0.00010212569,0.00085586467,0.035588834,0.002320589,0.00096806046,0.002660556,0.0076890094,0.000030412853],"about_ca_topic_score_codex":0.045620594,"about_ca_topic_score_gemma":0.05184821,"teacher_disagreement_score":0.045620594,"about_ca_system_score_codex":0.0017776266,"about_ca_system_score_gemma":0.0026582857,"threshold_uncertainty_score":0.0907101},"labels":[],"label_agreement":null},{"id":"W2109606057","doi":"10.5430/ijfr.v3n3p17","title":"Profitability and Consistency Analysis of Pharmacy Sector in India","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking Sector Performance and Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Consistency (knowledge bases); Pharmacy; Business; Accounting; Marketing; Finance; Mathematics; Medicine; Family medicine","score_opus":0.0733372777055462,"score_gpt":0.37887818609347,"score_spread":0.3055409083879238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109606057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939003,0.00017265472,0.00010182667,0.00022457216,0.000004935523,0.00001028358,0.00061593857,0.000011852831,0.0049576573],"genre_scores_gemma":[0.99913615,0.00008197189,0.00008325299,0.000015790214,0.0000061995142,0.0000030684612,0.0003136223,0.0000021024703,0.00035797365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988813,0.00017602611,0.000107696236,0.0000962645,0.0004859542,0.00025286045],"domain_scores_gemma":[0.99490005,0.0009963987,0.0020931235,0.00019014499,0.0013046259,0.00051575335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062678946,0.00011363026,0.00015650917,0.0035902713,0.00047650226,0.0016616067,0.00039295174,0.00020919401,0.001543328],"category_scores_gemma":[0.0031592625,0.00010056736,0.00026658308,0.004475124,0.00039881657,0.0004526402,0.0008271742,0.00031697072,0.0004191064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057782894,0.000045348694,0.9861522,0.00002831712,0.000032403874,0.00034133942,0.0008454632,0.00039317255,0.00037650912,0.00058417686,0.0009963562,0.010146981],"study_design_scores_gemma":[0.0000015088845,0.000044102042,0.9961106,0.000012805536,0.000010956038,0.0002580606,0.0015617195,0.0006260315,0.0002782711,0.000106767824,0.0009816192,0.0000075594758],"about_ca_topic_score_codex":0.018482681,"about_ca_topic_score_gemma":0.014082411,"teacher_disagreement_score":0.018482681,"about_ca_system_score_codex":0.0012079874,"about_ca_system_score_gemma":0.0011213543,"threshold_uncertainty_score":0.036750197},"labels":[],"label_agreement":null},{"id":"W2110524506","doi":"10.5430/ijfr.v2n2p52","title":"Life-Cycle Theory and Free Cash Flow Hypothesis: Evidence from Dividend Policy in Thailand","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Free cash flow; Dividend policy; Dividend; Dividend payout ratio; Dividend yield; Monetary economics; Cash flow; Retained earnings; Leverage (statistics); Equity (law); Earnings growth; Earnings; Economics; Debt; Financial economics; Business; Finance","score_opus":0.10848936894325412,"score_gpt":0.3228095498823845,"score_spread":0.2143201809391304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110524506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99749786,0.0002829146,0.00029665968,0.00010342376,0.0000016913559,0.000007346348,0.00020132046,0.0000027564206,0.0016060076],"genre_scores_gemma":[0.9994134,0.00016099705,0.000047341757,0.000009631922,0.0000032900166,0.0000025230029,0.00017430256,7.7234847e-7,0.0001877635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974924,0.00006582076,0.000028067214,0.000044338554,0.00005953559,0.000052896532],"domain_scores_gemma":[0.99127114,0.0034811771,0.003916584,0.00018337324,0.0005237004,0.00062401005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007918186,0.0001430798,0.00017632062,0.0013622398,0.00039538648,0.00122858,0.0003281172,0.00036506986,0.0025353187],"category_scores_gemma":[0.004737936,0.00012404851,0.00024300524,0.0015159928,0.0007086242,0.0013090096,0.00056005194,0.00036777093,0.0001858031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020496541,0.00011484783,0.9812185,0.0000814505,0.000059497837,0.00046826934,0.0017395264,0.0024936714,0.00028259933,0.0019195492,0.00022886576,0.011188086],"study_design_scores_gemma":[0.00001482022,0.00015015845,0.98628783,0.000035617864,0.000056039313,0.00020496549,0.0030987184,0.006565864,0.00041387588,0.0022341944,0.00092272257,0.000015166375],"about_ca_topic_score_codex":0.014473812,"about_ca_topic_score_gemma":0.008654584,"teacher_disagreement_score":0.014473812,"about_ca_system_score_codex":0.00069879356,"about_ca_system_score_gemma":0.0005807099,"threshold_uncertainty_score":0.028779149},"labels":[],"label_agreement":null},{"id":"W2110621708","doi":"10.5430/ijfr.v6n4p46","title":"Factors That Determine Capital Structure in Building Material and Construction Listed Firms: Egypt Case","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Capital structure; Capital (architecture); Financial system; Accounting; Finance; Geography","score_opus":0.10283014560209436,"score_gpt":0.3363180465111683,"score_spread":0.23348790090907395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110621708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837434,0.000108855806,0.000070197515,0.0001124211,5.746158e-7,0.000011495046,0.00008980737,0.0000013782844,0.0012309325],"genre_scores_gemma":[0.9990349,0.00011409747,0.00005815681,0.00000842081,0.0000016789196,0.0000029978914,0.0001149439,3.4860872e-7,0.00066450046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996761,0.000038872236,0.000027194812,0.000040006507,0.000065583365,0.00015228764],"domain_scores_gemma":[0.9987476,0.0003877512,0.0005493415,0.000051939103,0.00010876552,0.00015457236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040029443,0.00022630594,0.00020404393,0.0017007565,0.00076237204,0.0016008415,0.00047830844,0.0005518965,0.0030490998],"category_scores_gemma":[0.001122036,0.00017107674,0.00030299678,0.001961738,0.0005968098,0.0005976574,0.0007241078,0.00047429695,0.00016776868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001964499,0.0002959405,0.962307,0.000072698465,0.00006315002,0.008447124,0.0011773591,0.007735391,0.00074725464,0.0056015486,0.00072501594,0.012631149],"study_design_scores_gemma":[0.000057041365,0.00013792964,0.9653666,0.00006072027,0.00009955574,0.0012720866,0.010164467,0.01629122,0.0012174146,0.001765192,0.0035364816,0.000031258474],"about_ca_topic_score_codex":0.07755025,"about_ca_topic_score_gemma":0.080082215,"teacher_disagreement_score":0.07755025,"about_ca_system_score_codex":0.0034753494,"about_ca_system_score_gemma":0.0015966919,"threshold_uncertainty_score":0.1541977},"labels":[],"label_agreement":null},{"id":"W2110902657","doi":"10.5430/ijfr.v5n4p67","title":"Are There Non-linear Effects of Banking Relationships and Ownership Concentration on Operational Performance? Empirical Evidence from Portuguese SMEs Using Cross-section Analysis and Panel Data","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Panel data; Business; Context (archaeology); Moral hazard; Empirical evidence; Industrial organization; Retail banking; Monetary economics; Econometrics; Financial system; Economics; Finance; Microeconomics; Incentive","score_opus":0.2640245427578389,"score_gpt":0.39650321848302356,"score_spread":0.13247867572518468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110902657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979265,0.0003108405,0.00029765908,0.00012492447,0.0000025475138,0.000003963974,0.00018442122,0.0000035677076,0.0011456655],"genre_scores_gemma":[0.9995776,0.00008478749,0.000039877592,0.000014345476,0.0000052660034,0.0000019673228,0.00016273043,0.0000015331668,0.00011197874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817777,0.00077552913,0.00016626182,0.0003622193,0.0002376148,0.0002806791],"domain_scores_gemma":[0.9626987,0.024806619,0.008578602,0.0017722151,0.0011243601,0.0010194742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026502172,0.00022161029,0.00041926862,0.00095530896,0.00042620237,0.0012010748,0.00046965512,0.0005998462,0.0039654104],"category_scores_gemma":[0.012887165,0.00025493375,0.00068124675,0.0016550857,0.0008848378,0.0008589927,0.00089930074,0.00048295446,0.00040642972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008495266,0.00006235812,0.993983,0.000031777778,0.00018671405,0.00020019404,0.0005811831,0.00052024797,0.00018879934,0.00031760675,0.00010851527,0.0037346054],"study_design_scores_gemma":[0.0000047927124,0.000068337285,0.99699956,0.000027304915,0.00008389734,0.00008317484,0.0008175425,0.0012078929,0.00014012557,0.00019754675,0.00036374258,0.000006108602],"about_ca_topic_score_codex":0.010694747,"about_ca_topic_score_gemma":0.011361072,"teacher_disagreement_score":0.010694747,"about_ca_system_score_codex":0.00031516966,"about_ca_system_score_gemma":0.0003746981,"threshold_uncertainty_score":0.02126497},"labels":[],"label_agreement":null},{"id":"W2113454504","doi":"10.5430/ijfr.v3n2p17","title":"Weather Conditions and the Bank Lending Channel: A GMM Approach from US Banking","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Estimator; Channel (broadcasting); Monetary policy; Econometrics; Set (abstract data type); Bond; Economics; Business; Monetary economics; Finance; Computer science; Statistics; Telecommunications; Mathematics","score_opus":0.07447128903609761,"score_gpt":0.3321862199883242,"score_spread":0.2577149309522266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113454504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9364515,0.0009432943,0.055326432,0.0011472192,0.000093448856,0.000094630515,0.003222996,0.0002063403,0.0025141337],"genre_scores_gemma":[0.9807792,0.0010451251,0.012289149,0.000118138894,0.00012916475,0.000101931786,0.0039170915,0.000027755734,0.0015924382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995054,0.0002499725,0.000026345248,0.00009870865,0.000050200844,0.00006945544],"domain_scores_gemma":[0.9990158,0.0006523246,0.00014248304,0.00007370256,0.00006779303,0.000047893584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012068006,0.0004320574,0.0007191666,0.00083681,0.00043127843,0.0010822372,0.00059308717,0.00077840895,0.0022524022],"category_scores_gemma":[0.0029914563,0.0003305007,0.0010738447,0.001437908,0.00040153615,0.00060584064,0.0008309207,0.0009790605,0.00032446586],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005184116,0.00060652976,0.3843993,0.00028287718,0.0015883248,0.0013603644,0.0019623698,0.46942806,0.0029070077,0.033812143,0.014680534,0.08845404],"study_design_scores_gemma":[0.000091237256,0.00019246434,0.2338495,0.000078014134,0.0006132982,0.00020353097,0.0010223412,0.7318436,0.0009430075,0.021852706,0.009204998,0.00010525629],"about_ca_topic_score_codex":0.06597897,"about_ca_topic_score_gemma":0.0333225,"teacher_disagreement_score":0.06597897,"about_ca_system_score_codex":0.0006288796,"about_ca_system_score_gemma":0.0010772814,"threshold_uncertainty_score":0.13118988},"labels":[],"label_agreement":null},{"id":"W2114026213","doi":"10.5430/ijfr.v6n1p43","title":"Modelling the Antecedent and Consequence of Consumer Perceived Deception in Loan Services","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan; Generalizability theory; Structural equation modeling; Antecedent (behavioral psychology); Service provider; Context (archaeology); Business; Marketing; Financial services; Service (business); Deception; Service quality; Psychology; Finance; Social psychology; Computer science","score_opus":0.06772143352333163,"score_gpt":0.3499578552825635,"score_spread":0.2822364217592319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114026213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99622226,0.00007300635,0.0018051659,0.00031344124,0.000005434721,0.000047929076,0.0000569275,0.000004956966,0.0014708677],"genre_scores_gemma":[0.9992235,0.000056127246,0.0005086544,0.000015640202,0.00000253539,0.000019499439,0.00004451228,9.2840315e-7,0.00012869888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984669,0.0007696265,0.000126212,0.00014170678,0.00023697024,0.0002585687],"domain_scores_gemma":[0.9690131,0.022445459,0.0052394066,0.00091101596,0.001868853,0.0005221934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032117697,0.00039742692,0.00035807886,0.00081155344,0.0005811955,0.0017688273,0.0006133117,0.0010261739,0.0034243376],"category_scores_gemma":[0.02089201,0.0003433018,0.00069137383,0.00090684305,0.001037945,0.0014639873,0.0013812089,0.0017389678,0.00018115845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003438092,0.0008679923,0.95688236,0.0002020647,0.00016903308,0.00085797475,0.005176639,0.011989396,0.00084598066,0.007994722,0.00030302885,0.014366928],"study_design_scores_gemma":[0.000086416185,0.0010636526,0.8003641,0.00023119268,0.00041384227,0.00044676574,0.012022136,0.17331927,0.0014049202,0.00946868,0.0011143147,0.00006480258],"about_ca_topic_score_codex":0.015039293,"about_ca_topic_score_gemma":0.013217567,"teacher_disagreement_score":0.015039293,"about_ca_system_score_codex":0.0021800285,"about_ca_system_score_gemma":0.0026325053,"threshold_uncertainty_score":0.029903531},"labels":[],"label_agreement":null},{"id":"W2114105383","doi":"10.5430/ijfr.v2n2p61","title":"Determinants of Commercial Banks’ Lending Behavior in Nigeria","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Loan; Commercial bank; Portfolio; Context (archaeology); Business; Variables; Econometrics; Reserve requirement; Interest rate; Investment (military); Financial system; Monetary economics; Economics; Actuarial science; Finance; Central bank; Monetary policy; Statistics; Mathematics","score_opus":0.10889235732531571,"score_gpt":0.3758693149181972,"score_spread":0.2669769575928815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114105383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989046,0.00006800635,0.000023418377,0.00013024741,0.0000013549231,0.0000027553237,0.000024659059,9.446835e-7,0.00084399595],"genre_scores_gemma":[0.9997315,0.0000676554,0.000023333276,0.000008600517,0.0000012523914,9.55612e-7,0.000011677742,4.0454822e-7,0.0001545238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996842,0.0001062028,0.000043597556,0.000039247476,0.000061710336,0.00006501898],"domain_scores_gemma":[0.99610895,0.0011347699,0.0018306199,0.000085734355,0.000402157,0.0004377924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058477256,0.00010002947,0.00014256244,0.0004929617,0.00048623802,0.0010592429,0.0001265805,0.0002702276,0.001678757],"category_scores_gemma":[0.0036533216,0.00012240595,0.000086775835,0.0006716116,0.00044815452,0.0004334918,0.00033133294,0.00045091694,0.00019545243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003631784,0.00006129124,0.99303716,0.00001689357,0.000008385108,0.0002743668,0.001682502,0.00019381368,0.00020278075,0.00023866743,0.00018067335,0.0040670545],"study_design_scores_gemma":[0.0000023213775,0.000022286213,0.9926645,0.000029301045,0.000006764558,0.00026521183,0.0053879227,0.00069085375,0.000093774244,0.00016948095,0.00066173176,0.000005853863],"about_ca_topic_score_codex":0.014681398,"about_ca_topic_score_gemma":0.022460472,"teacher_disagreement_score":0.014681398,"about_ca_system_score_codex":0.00058727985,"about_ca_system_score_gemma":0.00069944613,"threshold_uncertainty_score":0.029191911},"labels":[],"label_agreement":null},{"id":"W2115409567","doi":"10.5430/ijfr.v1n1p2","title":"Relationship between External Debt Management Policies and Economic Growth in Nigeria (1970-2006)","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"External debt; Debt; Debt service coverage ratio; Economics; Internal debt; Deficit spending; Debt-to-GDP ratio; Monetary economics; Exchange rate; Debt levels and flows; Currency; Financial system; Business; Finance","score_opus":0.07844534908826128,"score_gpt":0.34284521120373107,"score_spread":0.2643998621154698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115409567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993507,0.0012167733,0.000037534464,0.00047517178,0.000021788574,0.0000064299256,0.00059367024,0.0000031944355,0.004138382],"genre_scores_gemma":[0.99617416,0.0017406668,0.000053201475,0.000052287327,0.000021190963,0.0000061172623,0.000882767,0.0000016062404,0.0010680998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999882,0.000015218549,0.000018985707,0.000014267887,0.000019318557,0.000050201797],"domain_scores_gemma":[0.99898225,0.0001259015,0.00055085676,0.000015775515,0.00016684072,0.00015827134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035787773,0.00015401289,0.00014557078,0.0009889073,0.0003665686,0.0010749174,0.000105562765,0.00024925772,0.0011937597],"category_scores_gemma":[0.0014197959,0.000078877136,0.00014327721,0.0015155684,0.00020231359,0.0005450719,0.00047943022,0.0007895955,0.00016778469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007025717,0.00006306166,0.98797345,0.000042899457,0.000011220209,0.00029650607,0.000647706,0.00032944223,0.00011849259,0.0008105271,0.00085125706,0.008785172],"study_design_scores_gemma":[0.0000016211128,0.000028645003,0.99417937,0.00007691167,0.000007485213,0.00016924561,0.0016155816,0.00027305886,0.00009496571,0.00013457709,0.0034146942,0.000003840093],"about_ca_topic_score_codex":0.018652478,"about_ca_topic_score_gemma":0.02670728,"teacher_disagreement_score":0.018652478,"about_ca_system_score_codex":0.00092296465,"about_ca_system_score_gemma":0.0008456515,"threshold_uncertainty_score":0.037087798},"labels":[],"label_agreement":null},{"id":"W2117300509","doi":"10.5430/ijfr.v6n4p36","title":"Prediction of Financial Crisis with Artificial Neural Network: An Empirical Analysis on Turkey","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Artificial neural network; Bankruptcy; Artificial intelligence; Computer science; Predictive power; Warning system; Early warning system; Machine learning; Finance; Economics; Macroeconomics","score_opus":0.13921083030388703,"score_gpt":0.3736492414002618,"score_spread":0.23443841109637475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117300509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985921,0.00026532004,0.00028153296,0.00007885948,0.000012554273,0.0000104331,0.00030524842,0.000013617428,0.00044049814],"genre_scores_gemma":[0.99820375,0.00025756593,0.00024972743,0.000015118758,0.000010602979,0.000012810973,0.0009960278,0.0000052922223,0.00024903964],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956495,0.00012210444,0.000044097036,0.00008351174,0.00009857624,0.00008676786],"domain_scores_gemma":[0.9975534,0.0013398612,0.00030868783,0.00012765972,0.0005278063,0.0001426134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461899,0.00073635345,0.00051495805,0.0013792227,0.00027538466,0.00057042256,0.00067919825,0.0006386501,0.0012779386],"category_scores_gemma":[0.0040791007,0.0001969156,0.00060193916,0.0011940161,0.00035913015,0.00072397286,0.000473736,0.00085877295,0.00038532767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016561964,0.0021817638,0.81315875,0.000323693,0.00036051,0.002230776,0.00072883803,0.107197925,0.0011375776,0.0010624953,0.009002987,0.060958393],"study_design_scores_gemma":[0.0000615373,0.00068435713,0.57889944,0.00010339009,0.00016482282,0.00050834724,0.001295964,0.41473085,0.0011001043,0.0005350975,0.0018561739,0.00005988509],"about_ca_topic_score_codex":0.017915297,"about_ca_topic_score_gemma":0.008501682,"teacher_disagreement_score":0.017915297,"about_ca_system_score_codex":0.0008858867,"about_ca_system_score_gemma":0.00043295228,"threshold_uncertainty_score":0.03562206},"labels":[],"label_agreement":null},{"id":"W2119053750","doi":"10.5430/ijfr.v5n3p176","title":"The Impact of the Financial Crisis on the Islamic Banks Profitability - Evidence from GCC","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Market liquidity; Financial crisis; Business; Financial system; Islam; Return on equity; Finance; Economics","score_opus":0.05435928280090832,"score_gpt":0.36139708848177127,"score_spread":0.3070378056808629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119053750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702424,0.00047304833,0.000034550434,0.000088037086,0.000005032568,0.0000046589116,0.0014078387,0.0000037848627,0.0009587624],"genre_scores_gemma":[0.99753284,0.00032116103,0.00003778383,0.000029622184,0.000009508194,0.0000039958195,0.0019067999,0.0000021339058,0.0001561847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993979,0.00013315515,0.00010406016,0.00010154273,0.00013347642,0.00012997116],"domain_scores_gemma":[0.99359846,0.0012093289,0.003486729,0.00028019992,0.001074406,0.00035090657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010833477,0.0002886871,0.00033072074,0.0025155784,0.00027578612,0.0012450111,0.000267069,0.0003500878,0.0012587779],"category_scores_gemma":[0.0031391943,0.00015943706,0.0004086334,0.0034829807,0.00043442237,0.0006158166,0.000839252,0.00038447473,0.000328197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068942194,0.000016781032,0.99580777,0.00003879297,0.00012204357,0.00014743942,0.00029582312,0.00022135302,0.00008930151,0.000078636,0.00051282666,0.002600297],"study_design_scores_gemma":[0.000001984763,0.00002238799,0.998494,0.000025198227,0.000052801606,0.00006297668,0.0006500004,0.00018695336,0.00006045213,0.000020686048,0.00041908328,0.000003401994],"about_ca_topic_score_codex":0.029710092,"about_ca_topic_score_gemma":0.033853944,"teacher_disagreement_score":0.029710092,"about_ca_system_score_codex":0.0005657495,"about_ca_system_score_gemma":0.00049878063,"threshold_uncertainty_score":0.059074283},"labels":[],"label_agreement":null},{"id":"W2119502970","doi":"10.5430/ijfr.v4n2p108","title":"Allocation of Assets on the Ghana Stock Exchange (GSE)","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Portfolio optimization; Business; Asset allocation; Stock exchange; Financial market; Profit (economics); Finance; Financial economics; Economics; Microeconomics","score_opus":0.13458350985872708,"score_gpt":0.33785474446352304,"score_spread":0.20327123460479596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119502970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97500616,0.0007716015,0.0011492372,0.00030682218,0.00004265262,0.000066953435,0.01581473,0.00008080594,0.0067610093],"genre_scores_gemma":[0.9764441,0.00056881184,0.0010807733,0.00006737466,0.00003898056,0.000045891662,0.018137762,0.000014561402,0.0036016728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969673,0.000055934965,0.000028368742,0.000056381192,0.00011317043,0.000049347556],"domain_scores_gemma":[0.998434,0.00037384217,0.0007305426,0.00007538787,0.00026118444,0.00012502629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046066297,0.00031394372,0.00044215695,0.0022895706,0.00020258536,0.0007440704,0.0003979649,0.00056570984,0.0032938232],"category_scores_gemma":[0.003380032,0.00014332285,0.00019603194,0.0027643798,0.00027313564,0.0008541669,0.0004191132,0.00047488595,0.0009351073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006602846,0.00018251665,0.88837254,0.00018640282,0.00020330043,0.0012076404,0.00032164177,0.026077371,0.0014073127,0.005938644,0.021041395,0.054401014],"study_design_scores_gemma":[0.0000797044,0.00022453362,0.9144101,0.000079320394,0.00007722025,0.0007090114,0.00075332675,0.05639631,0.0028255102,0.0035458414,0.020846797,0.00005232109],"about_ca_topic_score_codex":0.016163599,"about_ca_topic_score_gemma":0.016814467,"teacher_disagreement_score":0.016163599,"about_ca_system_score_codex":0.0010780555,"about_ca_system_score_gemma":0.000323891,"threshold_uncertainty_score":0.032139003},"labels":[],"label_agreement":null},{"id":"W2120942038","doi":"10.5430/ijfr.v5n4p128","title":"The Determinants of Trade Credit: A Study of Portuguese Industrial Companies","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trade credit; Credit history; Credit reference; Credit enhancement; Business; Intermediary; Portuguese; Export credit agency; Credit crunch; Financial intermediary; Financial services; Finance; Panel data; Financial system; Economics; Credit risk","score_opus":0.0937132884127485,"score_gpt":0.34739979971022633,"score_spread":0.2536865112974778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120942038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909556,0.000104066676,0.00002841684,0.00007239228,8.477053e-7,0.000004740993,0.000065240754,3.873091e-7,0.0006283962],"genre_scores_gemma":[0.9995041,0.00014967142,0.000023628898,0.000020723368,0.0000024801761,0.0000033234858,0.00008556037,6.065651e-7,0.00020997456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996037,0.00011469312,0.000027004007,0.00005718553,0.0000653116,0.00013207947],"domain_scores_gemma":[0.99666226,0.0014748033,0.0011908353,0.00017866414,0.00016910081,0.00032436266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009434588,0.00017436186,0.00025066428,0.0008022047,0.0007619972,0.0011944221,0.0003264781,0.0005777896,0.002521134],"category_scores_gemma":[0.0038804268,0.0002389093,0.00028074527,0.0019965265,0.00049766205,0.00079444685,0.00067768525,0.00062379957,0.00023246353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006782484,0.00031047515,0.98779964,0.00003168203,0.000021850166,0.00040755104,0.005286629,0.00014929828,0.00019594985,0.00026449535,0.00018383136,0.0052807364],"study_design_scores_gemma":[0.000006247165,0.000093110044,0.9911742,0.000036527676,0.00001264024,0.00013347769,0.0073120776,0.00032443664,0.00006459301,0.000073775765,0.0007652205,0.0000036977096],"about_ca_topic_score_codex":0.031044716,"about_ca_topic_score_gemma":0.034371924,"teacher_disagreement_score":0.031044716,"about_ca_system_score_codex":0.00086485996,"about_ca_system_score_gemma":0.0006904576,"threshold_uncertainty_score":0.06172806},"labels":[],"label_agreement":null},{"id":"W2121171742","doi":"10.5430/ijfr.v6n1p111","title":"Hedge Fund Ownership, Board Composition and Dividend Policy in the Telecommunications Industry","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend; Business; Dividend policy; Hedge fund; Dividend payout ratio; Shareholder; Agency cost; Monetary economics; Principal–agent problem; Mutual fund; Accounting; Economics; Finance; Corporate governance","score_opus":0.10843172079292974,"score_gpt":0.37669488214945446,"score_spread":0.2682631613565247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121171742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983394,0.00026475327,0.000086002816,0.00019906674,0.0000020368,0.000001766436,0.00000876818,9.732763e-7,0.0010972508],"genre_scores_gemma":[0.9993777,0.0001260459,0.000020832224,0.000016754046,0.0000063207126,7.980424e-7,0.000009351391,4.656716e-7,0.00044179882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952054,0.00017118908,0.00002020087,0.000040013863,0.00007222401,0.0001758509],"domain_scores_gemma":[0.99344665,0.0031426074,0.0023002115,0.000102768616,0.0001769315,0.00083083054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009836162,0.000115063536,0.00020614751,0.00056161144,0.00040047785,0.0017113506,0.00021319631,0.0006517075,0.0028317566],"category_scores_gemma":[0.006179692,0.00010291903,0.00016307457,0.0005391781,0.0008940882,0.0010428062,0.0007318106,0.0006646652,0.00022492233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008894538,0.00053098623,0.9513776,0.000036315734,0.00013609901,0.00050514744,0.0009520373,0.006294332,0.002828658,0.0114598395,0.00046351555,0.024526076],"study_design_scores_gemma":[0.000058177415,0.00034253375,0.9791957,0.0000353748,0.00009361851,0.00015221283,0.0024306173,0.00863401,0.0012120127,0.006586892,0.0012448083,0.000013947142],"about_ca_topic_score_codex":0.008789717,"about_ca_topic_score_gemma":0.011434967,"teacher_disagreement_score":0.008789717,"about_ca_system_score_codex":0.0014636584,"about_ca_system_score_gemma":0.0006738626,"threshold_uncertainty_score":0.017477095},"labels":[],"label_agreement":null},{"id":"W2122215342","doi":"10.5430/ijfr.v6n2p95","title":"Workplace Fund Performance: Luck or Skill?","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Luck; Statistic; Stock (firearms); Econometrics; Mutual fund; Distribution (mathematics); Actuarial science; Economics; Business; Statistics; Finance; Mathematics; Theology; Engineering","score_opus":0.22263105828869412,"score_gpt":0.37665881473246277,"score_spread":0.15402775644376865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122215342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939681,0.00024879468,0.0017334704,0.00035678642,0.000017907016,0.000010456142,0.000051779854,0.000024307874,0.0035883454],"genre_scores_gemma":[0.999215,0.00004146319,0.00027277248,0.000030572515,0.000015602987,0.0000027936812,0.000020394587,0.0000027884378,0.0003985807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986965,0.00031445385,0.00009690272,0.00016683277,0.0005421756,0.0001831454],"domain_scores_gemma":[0.98519903,0.005733471,0.005945369,0.00078834663,0.0010235545,0.0013102391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033307406,0.00022584337,0.00033940224,0.0006813399,0.000247309,0.0011370898,0.00027266392,0.00042690075,0.0029365988],"category_scores_gemma":[0.018953336,0.000065048014,0.00020648527,0.00036956745,0.00079907407,0.0008814524,0.00071626826,0.0003888738,0.00058100885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055126805,0.0003559252,0.9012681,0.000097054275,0.00014865746,0.00056656863,0.00073970424,0.0029358135,0.0030575416,0.0023967926,0.0005574546,0.08732505],"study_design_scores_gemma":[0.000025754976,0.0021673401,0.9775624,0.00007238208,0.0000706486,0.0009458585,0.0013041666,0.007312099,0.0044897567,0.003864782,0.0021417192,0.000043095657],"about_ca_topic_score_codex":0.0005772581,"about_ca_topic_score_gemma":0.0006481094,"teacher_disagreement_score":0.0033307406,"about_ca_system_score_codex":0.00041094646,"about_ca_system_score_gemma":0.0003572258,"threshold_uncertainty_score":0.017614841},"labels":[],"label_agreement":null},{"id":"W2122472436","doi":"10.5430/ijfr.v5n3p20","title":"Why Can Weak Linkages Cause International Stock Market Synchronization? The Mode-Locking Effect","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market bubble; Stock (firearms); Stock market; Economics; Stock exchange; Capital market; Financial market; Monetary economics; Market depth; Synchronization (alternating current); Financial economics; Finance; Computer science; Telecommunications","score_opus":0.04017456005115244,"score_gpt":0.3235975164245673,"score_spread":0.28342295637341486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122472436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90770465,0.0015184274,0.06849938,0.0033670857,0.00026989385,0.00006836231,0.00018825389,0.000260099,0.018123899],"genre_scores_gemma":[0.9971334,0.00023005047,0.001740434,0.0001770468,0.000054689164,0.000019617833,0.000030503908,0.000011812166,0.00060257677],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967957,0.00008204784,0.000029493116,0.00008934879,0.00005765568,0.000061959596],"domain_scores_gemma":[0.996621,0.0015301206,0.00095630396,0.00032157692,0.00030908888,0.00026188185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001242696,0.00026505435,0.00047423458,0.00082235853,0.00046200625,0.0009322074,0.00047958604,0.00082692236,0.0053523057],"category_scores_gemma":[0.011476179,0.00029343355,0.00044499416,0.00050426164,0.0009874095,0.002286168,0.0013901236,0.0008032994,0.00047222132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010824495,0.00036969155,0.37006748,0.00090234535,0.00091732654,0.0036624817,0.003525027,0.06007713,0.079426296,0.29636812,0.0074914964,0.17611022],"study_design_scores_gemma":[0.00032573554,0.00087525474,0.25902718,0.00033138905,0.0006104036,0.0029628014,0.0025069402,0.14072071,0.020712685,0.5555556,0.016158089,0.00021327064],"about_ca_topic_score_codex":0.00072286464,"about_ca_topic_score_gemma":0.0004266034,"teacher_disagreement_score":0.0053523057,"about_ca_system_score_codex":0.0003424416,"about_ca_system_score_gemma":0.0003245686,"threshold_uncertainty_score":0.017905295},"labels":[],"label_agreement":null},{"id":"W2123745785","doi":"10.5430/ijfr.v5n4p144","title":"A Barrier Option Utility Framework for Bank Interest Margin under Government Bailout","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bailout; Loan; Bankruptcy; Equity (law); Economics; Bank failure; Business; Monetary economics; Financial system; Actuarial science; Financial crisis; Finance","score_opus":0.09993548743365444,"score_gpt":0.3593674936649495,"score_spread":0.2594320062312951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123745785","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04327783,0.0021965965,0.90523165,0.0036597971,0.00013549652,0.000121464785,0.00037977315,0.00018741775,0.04480999],"genre_scores_gemma":[0.9177411,0.0018889359,0.05209267,0.00037433775,0.00022216799,0.00040721497,0.00022469446,0.00008793415,0.026960932],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99833506,0.0010536643,0.000040893974,0.00018113299,0.00021906877,0.00017007532],"domain_scores_gemma":[0.9971511,0.0019002848,0.00021022973,0.00014523107,0.00033276138,0.00026041287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005223229,0.0014942148,0.0016502001,0.00097013084,0.00072428584,0.004130226,0.0025722426,0.0031972239,0.008874998],"category_scores_gemma":[0.008980432,0.0006918972,0.0011572829,0.0010683734,0.002578991,0.0040948526,0.0016727,0.0031253195,0.00077390985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025673382,0.000033508106,0.00020168755,0.000042020285,0.000017100987,0.00009447426,0.00007736102,0.10885496,0.00025056797,0.88714576,0.0008505705,0.002406307],"study_design_scores_gemma":[0.000026497277,0.00004088973,0.0002600535,0.00003521545,0.00001538487,0.00004463574,0.000055846955,0.4937531,0.000064161,0.50434095,0.0013373195,0.000025944215],"about_ca_topic_score_codex":0.005114127,"about_ca_topic_score_gemma":0.0028069492,"teacher_disagreement_score":0.008874998,"about_ca_system_score_codex":0.0030736276,"about_ca_system_score_gemma":0.0020891242,"threshold_uncertainty_score":0.029689848},"labels":[],"label_agreement":null},{"id":"W2124758606","doi":"10.5430/ijfr.v4n2p148","title":"Research on the Determinants of Foreign Direct Investment Inflows of Gansu Province China","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Foreign direct investment; Openness to experience; China; Economic geography; Distribution (mathematics); Government (linguistics); Natural resource; Economics; Business; International economics; Geography; Political science; Macroeconomics","score_opus":0.1250080133783347,"score_gpt":0.35295708729717556,"score_spread":0.22794907391884087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124758606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503726,0.0003192127,0.00007027972,0.00074155926,0.000011545478,0.000009880249,0.00017522633,0.000005856518,0.0036292786],"genre_scores_gemma":[0.9987368,0.00026970622,0.000035354384,0.000028264902,0.0000063289544,0.0000036954189,0.00014126563,8.75901e-7,0.0007777668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958736,0.00009831069,0.00003668666,0.00004478897,0.00008901321,0.00014383736],"domain_scores_gemma":[0.9966983,0.0009270083,0.00084537786,0.00012632352,0.0006122974,0.00079069065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008114321,0.0002753156,0.00028402195,0.0012492755,0.0006183423,0.0010015187,0.00027871065,0.00019520696,0.002308176],"category_scores_gemma":[0.0022197436,0.00016282906,0.00041683903,0.0018356224,0.00061145716,0.00042119832,0.0006206382,0.0005615743,0.0001903427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028910748,0.000031653257,0.9913721,0.000033878412,0.00006546278,0.00031845787,0.00054501207,0.0009934498,0.00021638916,0.0014612594,0.0007720573,0.004161304],"study_design_scores_gemma":[0.0000058480723,0.000016647678,0.9962961,0.000025020316,0.000026169902,0.000044642347,0.0009730181,0.0012016523,0.000074055584,0.00018788016,0.0011437435,0.0000051488364],"about_ca_topic_score_codex":0.1840276,"about_ca_topic_score_gemma":0.21542132,"teacher_disagreement_score":0.1840276,"about_ca_system_score_codex":0.0024300804,"about_ca_system_score_gemma":0.0037904868,"threshold_uncertainty_score":0.3659129},"labels":[],"label_agreement":null},{"id":"W2125198882","doi":"10.5430/ijfr.v5n1p42","title":"Foreign Direct Investment (FDI) Inflows into Ghana: Should the Focus Be on Infrastructure or Natural Resources? Short- Run and Long -Run Analyses","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Short run; Economics; Disequilibrium; Error correction model; Natural resource; Cointegration; Econometric model; International economics; Macroeconomics; Econometrics","score_opus":0.07502497901748384,"score_gpt":0.372910041653991,"score_spread":0.29788506263650716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125198882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906204,0.0020992549,0.0006838559,0.0010511577,0.00003985411,0.0000127195535,0.002697922,0.00001512576,0.0027797152],"genre_scores_gemma":[0.9953754,0.0009128951,0.00020263152,0.00006472967,0.000025552526,0.000008503894,0.0017123544,0.0000038937224,0.0016941343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973756,0.000047168975,0.000030356454,0.000047321762,0.00005322899,0.000084252744],"domain_scores_gemma":[0.997867,0.00093587226,0.00079642166,0.00004146938,0.00021057417,0.00014862911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007163037,0.00017782972,0.00034482824,0.0007026008,0.00013795962,0.0008601471,0.00015156348,0.00025898658,0.0020506985],"category_scores_gemma":[0.0019000771,0.00010073744,0.00036542016,0.0013611802,0.00035844705,0.0006218985,0.00035173658,0.0006292996,0.0002790824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020290523,0.00004698002,0.97522837,0.00019288406,0.00014287267,0.00066936924,0.00038157174,0.00463128,0.00069287413,0.0015544693,0.0011921342,0.015064393],"study_design_scores_gemma":[0.000006792293,0.00015793707,0.98526496,0.00009715079,0.000100834586,0.00014647118,0.0018301776,0.006626056,0.0006061036,0.0006752244,0.00447483,0.000013398443],"about_ca_topic_score_codex":0.021385068,"about_ca_topic_score_gemma":0.026968598,"teacher_disagreement_score":0.021385068,"about_ca_system_score_codex":0.00092038687,"about_ca_system_score_gemma":0.00072405743,"threshold_uncertainty_score":0.04252118},"labels":[],"label_agreement":null},{"id":"W2128486085","doi":"10.5430/ijfr.v5n3p43","title":"Where Does Price Discovery Occur? An Empirical Study of Taiwan’s ADRs and Their Underlying Foreign Stocks","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Price discovery; Cross listing; Listing (finance); Explanatory power; Closing (real estate); Index (typography); Business; Financial economics; Economics; Monetary economics; Finance","score_opus":0.11931167765939403,"score_gpt":0.3722978712815651,"score_spread":0.25298619362217106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128486085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709857,0.00049743644,0.00045481994,0.0003494076,0.000008086149,0.000019664705,0.00010383529,0.000011593173,0.0014567026],"genre_scores_gemma":[0.99898607,0.0002679106,0.00018203513,0.000025354395,0.00002502877,0.0000049729747,0.0001250929,0.000004308687,0.00037921348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992317,0.00019906042,0.00010332892,0.00014647564,0.00019016302,0.00012934729],"domain_scores_gemma":[0.96235466,0.021371959,0.012684891,0.0011593357,0.0014775048,0.0009516576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002317953,0.00018527874,0.0004481712,0.0018427147,0.0006055999,0.0024040604,0.0005631869,0.0008987153,0.0020404097],"category_scores_gemma":[0.025758587,0.00032460943,0.0003637161,0.0021997488,0.0009090356,0.003857796,0.00094509847,0.0015742051,0.00039148287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023801647,0.00017216004,0.9738758,0.00006196792,0.00007702359,0.0011546265,0.001618313,0.000779008,0.00076851685,0.0022914952,0.00059669063,0.018366337],"study_design_scores_gemma":[0.000032652322,0.00016212989,0.97323567,0.000045941357,0.00011035325,0.00066601177,0.004770594,0.016125051,0.0009480617,0.0022356724,0.0016250629,0.000042859312],"about_ca_topic_score_codex":0.010578929,"about_ca_topic_score_gemma":0.008183984,"teacher_disagreement_score":0.010578929,"about_ca_system_score_codex":0.00062513066,"about_ca_system_score_gemma":0.00062651176,"threshold_uncertainty_score":0.021034718},"labels":[],"label_agreement":null},{"id":"W2128721600","doi":"10.5430/ijfr.v4n3p10","title":"Earnings Management Prior to Initial Public Offerings and Its Effect on Firm Performance: International Evidence","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Initial public offering; Earnings management; Accounting; Earnings; Monetary economics; Business; Economics; Demographic economics; Financial economics","score_opus":0.043651204967800554,"score_gpt":0.33498000668775657,"score_spread":0.291328801719956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128721600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924038,0.0028741837,0.00010290011,0.00024857587,0.000015602034,0.00000834507,0.00034398524,0.000007915275,0.003994597],"genre_scores_gemma":[0.99738735,0.0015716405,0.00005785926,0.000038338752,0.00006838122,0.000002457245,0.00039595057,0.0000030946312,0.00047485466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994173,0.00009446512,0.000063144056,0.00015016226,0.0001474681,0.0001274746],"domain_scores_gemma":[0.96905845,0.008999976,0.017948223,0.0012968935,0.0013774717,0.0013190325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014178765,0.00025634887,0.00028896713,0.0011893683,0.00030214584,0.0016546005,0.0004642544,0.00059955695,0.0030715198],"category_scores_gemma":[0.008747885,0.00011778367,0.00038565657,0.0016327229,0.0008552024,0.0009659777,0.00070747343,0.0008839095,0.0008021256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069240585,0.00037062133,0.95934737,0.000107008724,0.00014256098,0.00039399794,0.000389957,0.00038054457,0.00039212668,0.0005242323,0.00039398612,0.036865193],"study_design_scores_gemma":[0.000011198105,0.0002197162,0.9979261,0.0000455638,0.000067216446,0.00013401567,0.00023269127,0.00012094635,0.00029032258,0.00015056726,0.00079283013,0.000008732721],"about_ca_topic_score_codex":0.0037881883,"about_ca_topic_score_gemma":0.0022680827,"teacher_disagreement_score":0.0037881883,"about_ca_system_score_codex":0.0003719612,"about_ca_system_score_gemma":0.0002680616,"threshold_uncertainty_score":0.010275245},"labels":[],"label_agreement":null},{"id":"W2129113519","doi":"10.5430/ijfr.v4n1p93","title":"The Effect of Quality Management Practices on Organizational Performance in Jordan: An Empirical Study","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organizational performance; Organizational behavior management; Organizational commitment; Knowledge management; Empirical research; Organizational behavior and human resources; Business; Organizational learning; Organizational effectiveness; Quality (philosophy); Psychology; Computer science; Social psychology; Mathematics; Statistics","score_opus":0.106701642480858,"score_gpt":0.46366298481894347,"score_spread":0.35696134233808546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129113519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99877936,0.00011468261,0.00008080304,0.0001539563,0.0000025521408,0.000015433667,0.000029949804,0.0000021701214,0.00082113856],"genre_scores_gemma":[0.99932885,0.00012517259,0.00016006354,0.000046445315,0.0000070742244,0.000014276487,0.000044584358,0.0000015517469,0.00027205842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941531,0.0025230434,0.0004770341,0.00037961797,0.001708698,0.000758492],"domain_scores_gemma":[0.95130527,0.017161952,0.016190287,0.0013773311,0.009346916,0.0046182685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008410063,0.0002731307,0.00040345904,0.0014509079,0.0009697353,0.0020035212,0.0006778122,0.00073672546,0.0021991376],"category_scores_gemma":[0.016488314,0.00024848914,0.0004675118,0.002494642,0.0010572664,0.001307368,0.0012778285,0.0010550197,0.00039370914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022292472,0.0020708435,0.9673244,0.00013797624,0.00010221735,0.00016874407,0.005912582,0.0006609125,0.0003818318,0.00047479238,0.0004315654,0.022111122],"study_design_scores_gemma":[0.000022808637,0.0008165179,0.98491675,0.00010411109,0.000050935072,0.00006055431,0.011077089,0.001607222,0.00031678364,0.00015430838,0.00085549534,0.000017555381],"about_ca_topic_score_codex":0.007990156,"about_ca_topic_score_gemma":0.010419769,"teacher_disagreement_score":0.008410063,"about_ca_system_score_codex":0.0027990364,"about_ca_system_score_gemma":0.0046663713,"threshold_uncertainty_score":0.044477224},"labels":[],"label_agreement":null},{"id":"W2130212779","doi":"10.5430/ijfr.v6n3p180","title":"Guangdong Province Industrial Structure on Regional Economic Growth and the Impact of Economic Fluctuations","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rationalization (economics); Restructuring; China; Economic restructuring; Business; Economic geography; Economic system; Economics; Economic growth; Geography; Finance","score_opus":0.1387268374716167,"score_gpt":0.3577286547173776,"score_spread":0.21900181724576087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130212779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99053955,0.00023440487,0.0003481578,0.0005591514,0.000009940459,0.000008465534,0.00030489467,0.000014593202,0.007980767],"genre_scores_gemma":[0.99942064,0.00009177217,0.000028146402,0.000007719966,0.0000033517233,0.0000015712462,0.000075096665,0.0000016098178,0.00037000747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974495,0.000054069584,0.000012923445,0.00003951027,0.00004876876,0.00009979558],"domain_scores_gemma":[0.9991192,0.00016665162,0.00022459692,0.000056699548,0.0002137159,0.00021906213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004286589,0.00018356426,0.0001986191,0.0009314363,0.00032868702,0.00080905366,0.0002229225,0.00016790263,0.0026446295],"category_scores_gemma":[0.0018504963,0.00010106814,0.00037156552,0.0012398799,0.00056216255,0.00045954832,0.0008041706,0.00035110605,0.00019756272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022463899,0.000046275207,0.94889474,0.00003760881,0.00013954246,0.00065150333,0.00067232695,0.018390214,0.0009277443,0.012960132,0.0024100284,0.014645223],"study_design_scores_gemma":[0.000013927016,0.000024355788,0.9848418,0.000013762923,0.00004453934,0.000046904453,0.00048299212,0.01085274,0.00014580105,0.0017581406,0.0017678832,0.0000071301965],"about_ca_topic_score_codex":0.070541196,"about_ca_topic_score_gemma":0.07593669,"teacher_disagreement_score":0.070541196,"about_ca_system_score_codex":0.0018642605,"about_ca_system_score_gemma":0.0013882542,"threshold_uncertainty_score":0.14026123},"labels":[],"label_agreement":null},{"id":"W2133339437","doi":"10.5430/ijfr.v5n2p69","title":"Fund Mobilization by Insurance Companies and Fixed Capital Formation: Evidence from the Nigerian Economy","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gross fixed capital formation; Capital formation; Economics; Deposit insurance; Granger causality; Insurance industry; Panel data; Mobilization; Business; Monetary economics; Actuarial science; Finance; Gross domestic product; Macroeconomics; Econometrics; Human capital; Financial capital; Economic growth","score_opus":0.08366720393505854,"score_gpt":0.31528572483883066,"score_spread":0.2316185209037721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133339437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997141,0.0008227581,0.00008363617,0.00016231365,0.0000035577468,0.000004949958,0.00011036689,0.0000010784869,0.001670294],"genre_scores_gemma":[0.9984906,0.0010966439,0.00004431522,0.000014664888,0.0000042444763,0.0000014941959,0.00007965466,4.903591e-7,0.00026776906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998826,0.000027710788,0.00001229559,0.000020371928,0.000020801204,0.000036218727],"domain_scores_gemma":[0.9974605,0.0011909558,0.0009990155,0.000060029703,0.00014058103,0.00014891937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000486124,0.00019128369,0.00022774952,0.0009269884,0.00047194166,0.001162117,0.0001561182,0.0002981045,0.0017947596],"category_scores_gemma":[0.0018800372,0.00013883853,0.0002149982,0.0008179873,0.00062140526,0.00079251267,0.0006438562,0.0004440748,0.00014466236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002670057,0.0001768724,0.9762497,0.00022379801,0.00007060408,0.0018985423,0.001831955,0.0013359085,0.0006599272,0.003389969,0.00039333684,0.013502368],"study_design_scores_gemma":[0.000014949156,0.00010079029,0.9859579,0.00019394275,0.00009357553,0.00040229547,0.0060769925,0.0024362751,0.0009966902,0.0008409651,0.0028713057,0.000014350136],"about_ca_topic_score_codex":0.014440373,"about_ca_topic_score_gemma":0.022426173,"teacher_disagreement_score":0.014440373,"about_ca_system_score_codex":0.0005608187,"about_ca_system_score_gemma":0.00057086255,"threshold_uncertainty_score":0.02871263},"labels":[],"label_agreement":null},{"id":"W2133725077","doi":"10.5430/ijfr.v3n4p98","title":"Research on the Problems and Countermeasures of China's Service Trade in the New Era","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Service (business); International trade; Trade barrier; Business; Commodity; Work (physics); Countermeasure; Tertiary sector of the economy; Point (geometry); Marketing; Finance; Political science; Engineering","score_opus":0.1516194912049088,"score_gpt":0.39292120470168185,"score_spread":0.24130171349677304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133725077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6601414,0.05681505,0.005219389,0.101941586,0.0012732247,0.00016101277,0.00029581896,0.0001371094,0.17401549],"genre_scores_gemma":[0.95851,0.025237033,0.0013679172,0.0026418036,0.000481255,0.000036799032,0.00014502232,0.000011391582,0.011568812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989237,0.00016125798,0.0000678534,0.00013209517,0.00044422373,0.00027085873],"domain_scores_gemma":[0.9987816,0.00023417693,0.00031043173,0.00007360037,0.00045530443,0.00014490224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014647145,0.0004000861,0.00029714286,0.0025022286,0.002332023,0.0034457257,0.00097431993,0.0012961698,0.0049290503],"category_scores_gemma":[0.0023118882,0.00014862887,0.00048416047,0.0035773083,0.002258249,0.0040181363,0.0012136041,0.0011353618,0.00023652066],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014478718,0.00018680081,0.1745785,0.0018975969,0.00017981855,0.0026123368,0.01334503,0.0036044265,0.0030929316,0.43750793,0.03348628,0.3293636],"study_design_scores_gemma":[0.00008026385,0.00023030647,0.35821024,0.0022785626,0.0003081124,0.0012710151,0.04200403,0.014981212,0.0058535268,0.12374427,0.45087504,0.00016337297],"about_ca_topic_score_codex":0.03740825,"about_ca_topic_score_gemma":0.029167589,"teacher_disagreement_score":0.03740825,"about_ca_system_score_codex":0.005497212,"about_ca_system_score_gemma":0.013134449,"threshold_uncertainty_score":0.07438105},"labels":[],"label_agreement":null},{"id":"W2134191375","doi":"10.5430/ijfr.v1n1p49","title":"Foreign Direct Investment Effect on Economic Growth: Evidence from Guinea Republic in West Africa","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Granger causality; Promotion (chess); Economics; Investment (military); International economics; Government (linguistics); Causality (physics); Development economics; Macroeconomics; Political science","score_opus":0.05716861491310035,"score_gpt":0.3323619872479401,"score_spread":0.27519337233483976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134191375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99512523,0.0011324454,0.000038968876,0.00033539635,0.000010162566,0.000005806298,0.00029002808,0.0000017911191,0.003060116],"genre_scores_gemma":[0.9978999,0.0014968081,0.000049115508,0.000042113734,0.000008457002,0.000004377421,0.00018195102,0.0000012052556,0.00031602534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982697,0.00005923636,0.000013071395,0.000019574565,0.000018672303,0.00006243499],"domain_scores_gemma":[0.9982673,0.00067910587,0.0006703221,0.00006227961,0.00012268804,0.00019825515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056187465,0.00027184963,0.00021917337,0.0013787419,0.0003691662,0.00069254404,0.00018683563,0.00025587538,0.003184891],"category_scores_gemma":[0.0013379712,0.00013088295,0.00033589455,0.0022975195,0.0005750284,0.00049520895,0.00058649253,0.00040135626,0.00021604415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002328843,0.00015284655,0.977927,0.00029722622,0.00016989211,0.0017323591,0.002276114,0.00027980545,0.00071773096,0.0015121351,0.0007567763,0.013945189],"study_design_scores_gemma":[0.000013858789,0.000051152856,0.9933781,0.00014720541,0.00009560978,0.00020279756,0.0036206003,0.00018666113,0.00017104732,0.00014589906,0.001981024,0.0000060426837],"about_ca_topic_score_codex":0.017900655,"about_ca_topic_score_gemma":0.029243961,"teacher_disagreement_score":0.017900655,"about_ca_system_score_codex":0.00032486857,"about_ca_system_score_gemma":0.0005199971,"threshold_uncertainty_score":0.035592914},"labels":[],"label_agreement":null},{"id":"W2134522107","doi":"10.5430/ijfr.v4n1p132","title":"Risk Management Practices: A Survey of Micro-Insurance Service Providers in Kenya","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Risk pool; Business; Actuarial science; Service provider; Risk management; Key person insurance; Insurance policy; Liability insurance; Service (business); Finance; Marketing","score_opus":0.07928993887218339,"score_gpt":0.36875200325943974,"score_spread":0.28946206438725636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134522107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857867,0.0003069582,0.000027269743,0.00040615202,0.0000020963614,0.000026630243,0.000064547145,9.557917e-7,0.0005867499],"genre_scores_gemma":[0.9982115,0.0008707659,0.00015687183,0.00026705192,0.0000029810606,0.000026051026,0.000044743916,0.000001715404,0.00041834344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934727,0.00017330387,0.000072075476,0.00006185684,0.00017328453,0.00017215982],"domain_scores_gemma":[0.9982912,0.00031587895,0.0008011387,0.000037174104,0.00015205955,0.00040249605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087023724,0.00015359052,0.0002590051,0.0008309286,0.0019337216,0.000878825,0.00037763594,0.0005278569,0.003430465],"category_scores_gemma":[0.0025676764,0.0004232349,0.00017284988,0.0010552744,0.0007604463,0.0008116888,0.0009460313,0.00062688446,0.0003154703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043037635,0.00014420375,0.9247561,0.00019089051,0.000012120838,0.0011762438,0.060652502,0.000033777473,0.0010509848,0.00025060825,0.0010277849,0.010661777],"study_design_scores_gemma":[0.0000054813513,0.00022653464,0.8577255,0.00026683699,0.000010410629,0.0016111434,0.13494886,0.00018931071,0.00013448858,0.00006884731,0.0047854655,0.00002707682],"about_ca_topic_score_codex":0.033423092,"about_ca_topic_score_gemma":0.058336776,"teacher_disagreement_score":0.033423092,"about_ca_system_score_codex":0.0015399774,"about_ca_system_score_gemma":0.0021889503,"threshold_uncertainty_score":0.06645709},"labels":[],"label_agreement":null},{"id":"W2135678833","doi":"10.5430/ijfr.v4n2p144","title":"Comparison and Enlightenment of USA and Japan’s Emergency Management Mechanism","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enlightenment; Emergency management; Mechanism (biology); Task (project management); Natural disaster; Business; Process (computing); Political science; Operations management; Economic growth; Economics; Geography; Computer science; Management","score_opus":0.06688685077700207,"score_gpt":0.43826620255846316,"score_spread":0.3713793517814611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135678833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93127733,0.000897488,0.000852107,0.0043277056,0.00017897334,0.00006927373,0.0000676085,0.000026006106,0.06230357],"genre_scores_gemma":[0.99423367,0.0005588168,0.00043811614,0.0005087479,0.000027197995,0.00002914515,0.000049841623,0.000012986561,0.004141561],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99751794,0.0010553794,0.00011939954,0.00013216703,0.0005059247,0.0006691933],"domain_scores_gemma":[0.99617034,0.0011118992,0.0007195393,0.00021272675,0.0010161789,0.00076929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034787713,0.00020546913,0.00018798248,0.001525206,0.003478277,0.0036090587,0.00062010216,0.0008268188,0.0032707853],"category_scores_gemma":[0.008733062,0.00019627619,0.00029044205,0.0013755431,0.0015835906,0.002432566,0.0024097129,0.001003762,0.00024409687],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064106914,0.0005464937,0.17467576,0.00065319584,0.000091104426,0.0029493738,0.5608598,0.0006783941,0.0034943905,0.06357065,0.033198934,0.15864089],"study_design_scores_gemma":[0.000019409217,0.0002765474,0.2796868,0.0003310551,0.00005419668,0.00074898027,0.5567157,0.0006701451,0.0009755892,0.0015000211,0.15892978,0.00009178855],"about_ca_topic_score_codex":0.012538743,"about_ca_topic_score_gemma":0.027060496,"teacher_disagreement_score":0.012538743,"about_ca_system_score_codex":0.0037207894,"about_ca_system_score_gemma":0.0039215474,"threshold_uncertainty_score":0.026996374},"labels":[],"label_agreement":null},{"id":"W2141150810","doi":"10.5430/ijfr.v4n1p75","title":"Core Competences and Optimising Bank Capital Management in Nigeria","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational Management and Leadership","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Core competency; Competence (human resources); Core (optical fiber); Business; Empirical research; Capital (architecture); Empirical evidence; Variable (mathematics); Accounting; Economics; Marketing; Finance; Management; Engineering","score_opus":0.12635655602166287,"score_gpt":0.3577415781686677,"score_spread":0.23138502214700482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141150810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930161,0.00027149552,0.0001713807,0.00026606565,0.000004200171,0.000008492147,0.000012271076,0.0000016207872,0.006248373],"genre_scores_gemma":[0.99954516,0.00012783376,0.00011285744,0.0000111293175,0.0000015665221,0.0000017056507,0.0000045891757,2.4764665e-7,0.00019483657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971277,0.00008624523,0.00002293568,0.000023798304,0.00006397819,0.000090285765],"domain_scores_gemma":[0.9979577,0.00045390872,0.0007595902,0.00004978159,0.00017764984,0.00060142076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007604115,0.00018122359,0.00013738699,0.00087407953,0.0006144052,0.0014734188,0.0001120599,0.00027802913,0.0012919779],"category_scores_gemma":[0.0024866469,0.000135497,0.000088839835,0.00036306723,0.0008730989,0.0006409578,0.000894072,0.00040374394,0.00010914808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001761915,0.0006139099,0.9046188,0.00020870069,0.000028862216,0.0011596767,0.016120406,0.0012498449,0.002851983,0.011640801,0.000944815,0.060386065],"study_design_scores_gemma":[0.00000865389,0.000089528905,0.9852335,0.00020681717,0.000009830178,0.00029440687,0.007386129,0.0012645428,0.0003452992,0.0033046012,0.0018446832,0.000012109421],"about_ca_topic_score_codex":0.0044640317,"about_ca_topic_score_gemma":0.008068733,"teacher_disagreement_score":0.0044640317,"about_ca_system_score_codex":0.00087151345,"about_ca_system_score_gemma":0.0020701303,"threshold_uncertainty_score":0.008876085},"labels":[],"label_agreement":null},{"id":"W2141284852","doi":"10.5430/ijfr.v4n3p25","title":"Including More Information Content to Enhance the Value at Risk Estimation for Real Estate Investment Trusts","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Real estate investment trust; Real estate; Value at risk; Estimation; Asset (computer security); Econometrics; Investment (military); Value (mathematics); Generalized method of moments; Business; Economics; Actuarial science; Financial economics; Risk management; Finance; Statistics; Computer science; Mathematics","score_opus":0.10315784505560802,"score_gpt":0.36503282534200093,"score_spread":0.2618749802863929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141284852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27648908,0.00055620953,0.7139837,0.00042457873,0.00008603059,0.00019673845,0.0011959684,0.0008581054,0.0062096724],"genre_scores_gemma":[0.76525086,0.00043510785,0.22936434,0.00006267233,0.00012528556,0.00010957833,0.0019175145,0.00010511205,0.002629604],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835783,0.00071871397,0.0001140121,0.00020228671,0.0005143359,0.00009274459],"domain_scores_gemma":[0.9839252,0.01065985,0.0016965271,0.0017134307,0.0018072617,0.00019772908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029790595,0.0006194315,0.00071769767,0.003003412,0.00023461114,0.0019049965,0.00062147307,0.00074607664,0.0038534666],"category_scores_gemma":[0.027490985,0.00032349816,0.00074398675,0.0023477362,0.00029485844,0.0033026924,0.0010721214,0.00090961216,0.0008579669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006195728,0.0005156766,0.12186452,0.00050872995,0.0003257735,0.00037060547,0.0006655454,0.1476617,0.0068687056,0.022782076,0.003960572,0.6938567],"study_design_scores_gemma":[0.00005812548,0.00026623224,0.06364411,0.00013109742,0.00020445502,0.00023022492,0.00020098717,0.8975444,0.009951575,0.019898353,0.0077442727,0.0001260856],"about_ca_topic_score_codex":0.0035565558,"about_ca_topic_score_gemma":0.0047991234,"teacher_disagreement_score":0.0038534666,"about_ca_system_score_codex":0.00053316,"about_ca_system_score_gemma":0.0006691955,"threshold_uncertainty_score":0.015754938},"labels":[],"label_agreement":null},{"id":"W2141525663","doi":"10.5430/ijfr.v4n2p115","title":"Role of Financial Development in Economic Growth: Evidence from Savings and Credits Cooperative Societies in Tanzania","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education of the People's Republic of China; National Science Foundation","keywords":"Economics; Granger causality; Tanzania; Per capita; Real gross domestic product; Gross domestic product; Broad money; Finance; Monetary economics; Macroeconomics; Interest rate; Econometrics","score_opus":0.05625221417962677,"score_gpt":0.3122351575656717,"score_spread":0.25598294338604494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141525663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969494,0.0009303007,0.00003992464,0.00048475602,0.0000064303545,0.000005949845,0.00026572257,0.0000015271464,0.0013159647],"genre_scores_gemma":[0.9987464,0.000686384,0.000036772002,0.000036111942,0.000011746,0.000004219198,0.00021164761,6.201717e-7,0.00026598558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996979,0.00010712945,0.000022957529,0.000032409407,0.000053766344,0.0000858734],"domain_scores_gemma":[0.9930606,0.002033316,0.0034055065,0.000114927956,0.00055485,0.00083078136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007826217,0.00019573011,0.00016627945,0.0017713719,0.0005135351,0.00065605325,0.00023823713,0.00023147886,0.0020770144],"category_scores_gemma":[0.0037565466,0.00010077885,0.00014900633,0.0027033866,0.0005780879,0.0005800961,0.0009939366,0.00045119086,0.00017792979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008097149,0.00006981209,0.9856529,0.00011553003,0.00003057314,0.00034441793,0.0020370055,0.000118394564,0.00008402296,0.0006944053,0.00071764033,0.010054357],"study_design_scores_gemma":[0.0000065041627,0.000050805873,0.9943013,0.00008594658,0.000033912213,0.00007944068,0.0037910074,0.00019665508,0.00006163061,0.00013515879,0.0012538052,0.0000037358886],"about_ca_topic_score_codex":0.02178073,"about_ca_topic_score_gemma":0.040852845,"teacher_disagreement_score":0.02178073,"about_ca_system_score_codex":0.00051413116,"about_ca_system_score_gemma":0.00074385596,"threshold_uncertainty_score":0.0433079},"labels":[],"label_agreement":null},{"id":"W2141605637","doi":"10.5430/ijfr.v4n1p54","title":"The Impact of the Goods and Services Tax on Mortgage Costs: Evidence from Australian Mortgage Corporations","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mortgage insurance; Secondary mortgage market; Collateralized mortgage obligation; Shared appreciation mortgage; Mortgage underwriting; Yield (engineering); Business; Economics; Monetary economics; Finance; Financial system; Insurance policy","score_opus":0.13964274236697694,"score_gpt":0.38816086602072924,"score_spread":0.2485181236537523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141605637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99713326,0.00036319013,0.000038474005,0.00031056884,0.0000023299806,0.0000072058074,0.00011725212,0.0000011947111,0.0020264434],"genre_scores_gemma":[0.99795,0.0009729725,0.000045316883,0.000050738367,0.00001421542,0.0000041980766,0.00021433603,0.0000013533057,0.00074682175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875474,0.00033595483,0.000108576016,0.00008745987,0.0005646535,0.00014850167],"domain_scores_gemma":[0.9794302,0.0049563507,0.010565942,0.00060324825,0.0035486647,0.00089558016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011336893,0.00015813738,0.00024462736,0.0015596027,0.0006179876,0.0010140849,0.00038721063,0.0004559096,0.0018095098],"category_scores_gemma":[0.011093644,0.00017457646,0.0002828802,0.0022959372,0.0008920269,0.0009157761,0.0010982193,0.00085905654,0.0002776471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026731644,0.00030414146,0.97142744,0.00016643356,0.00013664547,0.0006252301,0.0029656203,0.0007742947,0.00047791208,0.0011230479,0.0014111979,0.020320801],"study_design_scores_gemma":[0.0000049810947,0.00006417663,0.99738663,0.000022601387,0.000031859177,0.000065711305,0.0009362969,0.0003743825,0.00015722637,0.000067615,0.00088357687,0.0000049837035],"about_ca_topic_score_codex":0.09543705,"about_ca_topic_score_gemma":0.11051129,"teacher_disagreement_score":0.09543705,"about_ca_system_score_codex":0.0013565782,"about_ca_system_score_gemma":0.00086682517,"threshold_uncertainty_score":0.18976307},"labels":[],"label_agreement":null},{"id":"W2143849856","doi":"10.5430/ijfr.v4n2p83","title":"Stock Market and Economic Growth in Ghana, Kenya and Nigeria","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock market; Granger causality; Stock exchange; Economics; Gross domestic product; Real gross domestic product; Monetary economics; Stock market index; Stock (firearms); Stock market bubble; Financial economics; Econometrics; Macroeconomics; Finance; Geography","score_opus":0.0783542006039345,"score_gpt":0.31286185014875756,"score_spread":0.23450764954482306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143849856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641526,0.0008319581,0.000048170295,0.00029309987,0.0000066763478,0.0000046638343,0.00023575326,0.0000012283191,0.0021632893],"genre_scores_gemma":[0.9987251,0.0006371876,0.000059565424,0.000018167848,0.000006345906,0.0000029558353,0.00018356298,5.2295036e-7,0.0003665526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999933,0.000016225735,0.000008000657,0.00000827668,0.0000138053565,0.00002072479],"domain_scores_gemma":[0.9987488,0.00030307999,0.00068547577,0.000014911533,0.000104056446,0.00014369284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023686732,0.00016614838,0.00013655906,0.00087865425,0.00032541197,0.00064462953,0.00007052424,0.0001822359,0.0020882315],"category_scores_gemma":[0.0014674698,0.000072414434,0.00011930891,0.0012472152,0.00027038506,0.000672142,0.0002842414,0.00037181232,0.00013181265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048843867,0.00003913883,0.9927008,0.00002746873,0.000016002334,0.00033500534,0.00041101154,0.0001732878,0.00014143123,0.00094407785,0.00023151592,0.004931511],"study_design_scores_gemma":[0.0000034299537,0.000018937155,0.9969199,0.00003066981,0.0000113194155,0.00013312593,0.0013301595,0.00055873557,0.000085790154,0.000243442,0.000661891,0.0000026553987],"about_ca_topic_score_codex":0.021305824,"about_ca_topic_score_gemma":0.04336139,"teacher_disagreement_score":0.021305824,"about_ca_system_score_codex":0.0005293412,"about_ca_system_score_gemma":0.00041453715,"threshold_uncertainty_score":0.042363644},"labels":[],"label_agreement":null},{"id":"W2148652023","doi":"10.5430/ijfr.v4n3p83","title":"Impact of the Financial Crisis on Profitability of the Islamic Banks vs Conventional Banks- Evidence from GCC","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Financial system; Financial crisis; Profitability index; Return on equity; Return on assets; Business; Islam; Net interest margin; Capital adequacy ratio; Economics; Finance; Incentive","score_opus":0.04763282357198911,"score_gpt":0.35174510927304536,"score_spread":0.30411228570105625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148652023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974226,0.00039637942,0.000018018878,0.00015710777,0.0000049645287,0.000003671431,0.00064961973,0.0000023160594,0.0013454221],"genre_scores_gemma":[0.9989742,0.00027981936,0.000015985794,0.000026978354,0.000008365734,0.0000017829078,0.0005523215,0.0000010438719,0.00013961438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994759,0.00011795878,0.00007599217,0.00007794161,0.00015138913,0.00010078624],"domain_scores_gemma":[0.99374914,0.0013570308,0.0032729588,0.00015839619,0.0010253531,0.00043716555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005952717,0.00015982504,0.00019210675,0.0014543398,0.00020144315,0.0009200155,0.00018543232,0.0003130602,0.0015694405],"category_scores_gemma":[0.00357461,0.000079560574,0.0001770393,0.0017706815,0.00038872534,0.00047790873,0.0004897642,0.0004181355,0.00031121372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012512617,0.000029938119,0.99463576,0.00003957534,0.000041235442,0.0002699809,0.0003350537,0.00017111741,0.0001371617,0.00014948858,0.0006902694,0.0033751654],"study_design_scores_gemma":[0.0000021640215,0.000028954395,0.9983864,0.000020897534,0.00001471839,0.00008868795,0.0008577092,0.00013382058,0.00006468037,0.000030926174,0.00036833543,0.0000027504848],"about_ca_topic_score_codex":0.011523543,"about_ca_topic_score_gemma":0.011576975,"teacher_disagreement_score":0.011523543,"about_ca_system_score_codex":0.0004439955,"about_ca_system_score_gemma":0.00044100758,"threshold_uncertainty_score":0.02291292},"labels":[],"label_agreement":null},{"id":"W2151732057","doi":"10.5430/ijfr.v5n4p120","title":"A Study of the Effect of Macroeconomic Variables on Stock Market: Saudi Perspective","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Econometrics; Economics; Variables; Stock (firearms); Stock market index; Regression analysis; Stock exchange; Index (typography); Stock market; West Texas Intermediate; Oil price; Financial economics; Statistics; Monetary economics; Mathematics; Geography; Volatility (finance); Finance; Computer science","score_opus":0.02117455728967023,"score_gpt":0.3253584573605932,"score_spread":0.304183900070923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151732057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841172,0.008127651,0.0005142992,0.001172028,0.000042069914,0.0000125916395,0.00033385516,0.000005866204,0.005674323],"genre_scores_gemma":[0.99508166,0.0035847332,0.00017322433,0.000076563774,0.00007028661,0.0000030121676,0.00020419732,0.0000017854655,0.0008045243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997607,0.00007440707,0.000020149919,0.000031528063,0.00007541206,0.0000377695],"domain_scores_gemma":[0.99710923,0.0012320365,0.0009265758,0.00006550223,0.000462462,0.0002042227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059946015,0.00035356666,0.00026670028,0.0012318399,0.00025178408,0.001125356,0.00017387756,0.00036710085,0.002332842],"category_scores_gemma":[0.0026004135,0.000102394224,0.0005564481,0.0013418788,0.0002805831,0.0008001811,0.00032717918,0.00057015265,0.00025663426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019680959,0.00014589942,0.9600576,0.00020475386,0.0004461811,0.0008830111,0.0005337621,0.0017130763,0.0010728518,0.0035635491,0.00086370157,0.030318728],"study_design_scores_gemma":[0.000008562218,0.00019272426,0.9887651,0.00010083993,0.00020792524,0.00021718699,0.001056013,0.0048629977,0.0005724391,0.0010948295,0.0029051928,0.000016279753],"about_ca_topic_score_codex":0.013724928,"about_ca_topic_score_gemma":0.010501863,"teacher_disagreement_score":0.013724928,"about_ca_system_score_codex":0.0005243724,"about_ca_system_score_gemma":0.00070340006,"threshold_uncertainty_score":0.027290046},"labels":[],"label_agreement":null},{"id":"W2152962741","doi":"10.5430/ijfr.v5n4p114","title":"A Note on Bank Default Risk and Delivery Channel Strategy under Deposit Insurance Fund Protection","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Shareholder; Deposit insurance; Financial system; Finance; Sovereign wealth fund; Equity (law); Economics; Corporate governance; Incentive","score_opus":0.07885908873817132,"score_gpt":0.3229928944379444,"score_spread":0.24413380569977305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152962741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7273618,0.00427474,0.0551536,0.024425501,0.00037563633,0.00018323507,0.00091500964,0.00026867917,0.18704182],"genre_scores_gemma":[0.98838556,0.00092915096,0.0017990851,0.00062719546,0.00019563723,0.000023326505,0.000052605905,0.000020426774,0.007967047],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988232,0.0003548224,0.0000821531,0.00022316072,0.00022810754,0.00028842452],"domain_scores_gemma":[0.98681366,0.009787789,0.0014488316,0.00061151484,0.000779284,0.0005590042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028871999,0.0003386256,0.0007824274,0.0007533234,0.00062204845,0.0030960168,0.0009305315,0.0021008053,0.014832289],"category_scores_gemma":[0.011408369,0.00022454564,0.0011495042,0.0006041494,0.0017009695,0.002412452,0.0012099636,0.002033004,0.00065118074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013266823,0.0003483766,0.04739055,0.00022298834,0.00021490583,0.0018290352,0.0006809707,0.046548396,0.013740837,0.82293695,0.012826508,0.051933855],"study_design_scores_gemma":[0.00038409897,0.0014115409,0.12108759,0.0002795824,0.001028234,0.00088760915,0.001515928,0.19176516,0.00902563,0.6555862,0.016762232,0.00026624184],"about_ca_topic_score_codex":0.0070197447,"about_ca_topic_score_gemma":0.003429811,"teacher_disagreement_score":0.014832289,"about_ca_system_score_codex":0.0018818796,"about_ca_system_score_gemma":0.0011876922,"threshold_uncertainty_score":0.04961896},"labels":[],"label_agreement":null},{"id":"W2153710432","doi":"10.5430/ijfr.v3n1p2","title":"Volatility Estimation and Stock Price Prediction in the Nigerian Stock Market","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Volatility (finance); Stock (firearms); Economics; Stock market; Stock market bubble; Financial economics; Monetary economics; Econometrics; Stock exchange; Finance","score_opus":0.1033744202109936,"score_gpt":0.3547604419926343,"score_spread":0.2513860217816407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153710432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958046,0.00047550863,0.002380193,0.00013055665,0.000013573383,0.000006911428,0.000101809106,0.000008545714,0.001078311],"genre_scores_gemma":[0.9990427,0.00020119316,0.000483862,0.0000052610576,0.0000069290368,0.0000019022968,0.000108400265,0.0000010852086,0.0001486787],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.000095611074,0.000036993482,0.000050798317,0.0000844209,0.00004273048],"domain_scores_gemma":[0.9987004,0.00073302997,0.00032187992,0.00004551378,0.00015882113,0.000040366645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010618707,0.00025947965,0.00029888455,0.0010085732,0.00020268757,0.00092697504,0.00013192608,0.00026998165,0.0005169565],"category_scores_gemma":[0.0041400306,0.00017875829,0.00026943136,0.0005917267,0.00012804494,0.00081628055,0.00026122096,0.00035500058,0.000117102325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016749823,0.00007065742,0.9473712,0.000044588032,0.00012971275,0.00036583372,0.00026963392,0.017236019,0.0017899564,0.0018662937,0.00035109607,0.030337417],"study_design_scores_gemma":[0.000012435505,0.00014848581,0.7826579,0.000095460004,0.00007963426,0.00037736283,0.00058529567,0.21009026,0.0021477847,0.0028659506,0.0009056561,0.00003378055],"about_ca_topic_score_codex":0.006081821,"about_ca_topic_score_gemma":0.0052185883,"teacher_disagreement_score":0.006081821,"about_ca_system_score_codex":0.0002894124,"about_ca_system_score_gemma":0.0003680089,"threshold_uncertainty_score":0.012092829},"labels":[],"label_agreement":null},{"id":"W2154580988","doi":"10.5430/ijfr.v6n4p187","title":"Evaluating Exchange Rate Models Based on Rational Expectations versus Imperfect Knowledge Economics","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rational expectations; Imperfect; Exchange rate; Economics; International finance; Econometrics; Field (mathematics); Empirical evidence; Macroeconomics; Epistemology; Mathematics","score_opus":0.5712864326409602,"score_gpt":0.457116198623208,"score_spread":0.11417023401775223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154580988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8337683,0.0020302422,0.14011411,0.0042199553,0.00014009085,0.00009799355,0.00024939407,0.00011922989,0.019260759],"genre_scores_gemma":[0.9939744,0.0005212703,0.0045981947,0.00006250631,0.00008278743,0.000031693184,0.00007304864,0.00001074584,0.00064529234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980775,0.0013381492,0.00009008625,0.00016378405,0.00017908002,0.0001514154],"domain_scores_gemma":[0.974483,0.02163887,0.0021329822,0.0006926371,0.0005115541,0.00054089347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074803582,0.00093684724,0.0014660389,0.0014949249,0.00041165084,0.0039495896,0.0014713107,0.0020319035,0.0021008404],"category_scores_gemma":[0.031661298,0.0004415079,0.0010016217,0.0007016981,0.0019883097,0.003858357,0.0021177097,0.0013609384,0.00016755493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016192702,0.00008564333,0.0051352177,0.00008054337,0.00010742469,0.00012926591,0.00013862825,0.8072125,0.00019357147,0.18237652,0.00030579927,0.0040729595],"study_design_scores_gemma":[0.00004067217,0.00006533132,0.0008916019,0.000021375386,0.000026948604,0.000015395586,0.00007996045,0.9078942,0.0000698041,0.090724714,0.00014976367,0.000020285015],"about_ca_topic_score_codex":0.003904699,"about_ca_topic_score_gemma":0.0019492593,"teacher_disagreement_score":0.0074803582,"about_ca_system_score_codex":0.0017175785,"about_ca_system_score_gemma":0.0011087582,"threshold_uncertainty_score":0.039560378},"labels":[],"label_agreement":null},{"id":"W2157661355","doi":"10.5430/ijfr.v2n1p45","title":"Inflation, Money and Economic Growth in Cameroon","year":2011,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Money supply; Monetary economics; Monetary policy; Hyperinflation; Circulation (fluid dynamics); Economic stability; Macroeconomics; Keynesian economics","score_opus":0.18499569489354875,"score_gpt":0.32909644594722426,"score_spread":0.1441007510536755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157661355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99228317,0.0035605188,0.0004881305,0.0010287509,0.00003599992,0.0000061115725,0.00018264039,0.0000111177005,0.0024035187],"genre_scores_gemma":[0.9982653,0.0012350482,0.00008802789,0.000025278661,0.000012616816,0.0000032970486,0.000067156885,0.0000022467113,0.00030104717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976283,0.00010441891,0.000012908551,0.000028277536,0.00001978606,0.000071782226],"domain_scores_gemma":[0.99912685,0.00045585076,0.0002583409,0.000014835376,0.000081829756,0.00006226942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008124297,0.00040445972,0.0002904509,0.0010140003,0.0003640479,0.0013863622,0.00013284519,0.0003368772,0.0012778778],"category_scores_gemma":[0.002128673,0.00019229055,0.0002754713,0.0014602635,0.0005660388,0.0008965766,0.0006594104,0.0008069005,0.00013086123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010763835,0.00018856712,0.8386055,0.0002574918,0.00025382565,0.0042309966,0.0017990397,0.077203624,0.002380023,0.032655485,0.0027456733,0.03860334],"study_design_scores_gemma":[0.00006680955,0.00024908816,0.80974144,0.000355168,0.0002470522,0.00080705876,0.0029019723,0.16644594,0.00118158,0.012422672,0.005511087,0.00007018374],"about_ca_topic_score_codex":0.03644339,"about_ca_topic_score_gemma":0.022230962,"teacher_disagreement_score":0.03644339,"about_ca_system_score_codex":0.0015411892,"about_ca_system_score_gemma":0.0010088908,"threshold_uncertainty_score":0.0724625},"labels":[],"label_agreement":null},{"id":"W2162119403","doi":"10.5430/ijfr.v5n1p101","title":"Empirical Research on Shanghai Residents' Financial Literacy","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China","keywords":"Financial literacy; China; Finance; Investment (military); Empirical research; Pension; Control (management); Business; Economics; Political science; Management","score_opus":0.11345743406332727,"score_gpt":0.450082591678256,"score_spread":0.3366251576149287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162119403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997186,0.00008939142,0.000047499067,0.000094029856,0.0000024857436,0.000003618523,0.0002152332,0.0000030714928,0.0023587286],"genre_scores_gemma":[0.99913675,0.00009538547,0.000039012102,0.000018502113,0.0000036701658,0.000005409988,0.00017753162,6.4248957e-7,0.0005231333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996952,0.00008676394,0.000033204346,0.000031741754,0.00007123285,0.00008178547],"domain_scores_gemma":[0.9977563,0.00065750215,0.0006835105,0.00007808299,0.00044733664,0.00037717927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075582654,0.0001639952,0.00014179037,0.0012749054,0.000450462,0.0005535843,0.00014621502,0.00011920225,0.0036698966],"category_scores_gemma":[0.0027017544,0.00009200117,0.000121549536,0.001751311,0.00049153325,0.0004933383,0.00050173973,0.00021260924,0.0002566964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015709804,0.000026260692,0.9871612,0.000054368702,0.000014755869,0.000121725476,0.005723475,0.00009565785,0.00009980566,0.00050326466,0.0005761297,0.005607679],"study_design_scores_gemma":[0.000001185103,0.000028393417,0.9902164,0.000023185949,0.000010397421,0.000042409883,0.0082329055,0.00014524077,0.00007617656,0.000056491397,0.0011632151,0.0000040593127],"about_ca_topic_score_codex":0.030586151,"about_ca_topic_score_gemma":0.039210122,"teacher_disagreement_score":0.030586151,"about_ca_system_score_codex":0.00063212484,"about_ca_system_score_gemma":0.00081914256,"threshold_uncertainty_score":0.06081623},"labels":[],"label_agreement":null},{"id":"W2164401992","doi":"10.5430/ijfr.v3n1p95","title":"Influencing Factors of Health Care Expenditure for Rural Residents in China after Enforcing New Rural Cooperative Medical System","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"China; Medical care; Health care; Rural area; Business; Rural health; Demographic economics; Economic growth; Public economics; Economics; Medicine; Nursing; Political science","score_opus":0.07668133361936691,"score_gpt":0.40608664109953946,"score_spread":0.32940530748017255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164401992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99953294,0.00003374406,0.00002087886,0.00011252162,0.0000020061268,0.000003716173,0.00010882084,0.0000012061425,0.00018403288],"genre_scores_gemma":[0.9994918,0.000043495525,0.00001949917,0.000018312063,0.0000045053002,0.0000031043921,0.00018051344,5.815983e-7,0.00023811487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996351,0.00005241737,0.00003702807,0.000047649974,0.00006940115,0.00015840169],"domain_scores_gemma":[0.9986438,0.00014884771,0.0006139509,0.0000512331,0.00019718084,0.00034508927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004328825,0.0001832072,0.00020186057,0.00060959946,0.00044165817,0.00046464094,0.00027633965,0.0003348307,0.0013249542],"category_scores_gemma":[0.0014173641,0.00013424043,0.0005233575,0.0009880037,0.00030703505,0.00024995976,0.000473177,0.00046302157,0.00011590984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040522285,0.000038536684,0.9963736,0.000012069641,0.000045668705,0.00020529889,0.00038683825,0.00052164454,0.0003003214,0.00010835115,0.00020160087,0.0017655576],"study_design_scores_gemma":[0.0000018143746,0.000018730114,0.99907815,0.000002254226,0.000007981644,0.000018695722,0.0003332414,0.00036933873,0.000030869727,0.0000123794825,0.00012386669,0.0000027027659],"about_ca_topic_score_codex":0.09420378,"about_ca_topic_score_gemma":0.12535934,"teacher_disagreement_score":0.09420378,"about_ca_system_score_codex":0.0014133791,"about_ca_system_score_gemma":0.0015392187,"threshold_uncertainty_score":0.18731087},"labels":[],"label_agreement":null},{"id":"W2165576860","doi":"10.5430/ijfr.v5n4p98","title":"National Debt and Its Effects on Several Other Variables: An Econometric Study of the United States","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Current account; Debt; Deficit spending; Consumption (sociology); Redistribution (election); External debt; Monetary economics; Econometric model; Small open economy; Macroeconomics; General equilibrium theory; National accounts; Rest (music); Balance of trade; Interest rate; Econometrics; Exchange rate","score_opus":0.1252419451111654,"score_gpt":0.34532681216997,"score_spread":0.22008486705880462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165576860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997738,0.0002850252,0.00054287753,0.0003226966,0.000010347711,0.0000049573637,0.00022573101,0.00001266796,0.00085771235],"genre_scores_gemma":[0.9976342,0.00036779616,0.00019484911,0.00006490031,0.000017336593,0.000007704145,0.000825119,0.000005842249,0.00088228873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995815,0.0002282002,0.000019282534,0.0000509609,0.000039977473,0.00008010496],"domain_scores_gemma":[0.99642915,0.0025710082,0.0004503672,0.000118506054,0.00022019884,0.00021085952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016944879,0.00035517037,0.00063356484,0.00086784625,0.0005435295,0.0016588137,0.00050581974,0.00069783354,0.0021268325],"category_scores_gemma":[0.004623098,0.00036045015,0.0010670322,0.00141686,0.0005377736,0.00088843703,0.0008215311,0.0015289794,0.00035383238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088186713,0.001447473,0.84206533,0.00007760427,0.0008676426,0.0010909085,0.00082208385,0.11963019,0.0008551875,0.008892137,0.0043717544,0.018997798],"study_design_scores_gemma":[0.00016095304,0.00043955204,0.67907685,0.00007383353,0.0006651003,0.0002367056,0.0031322353,0.30721816,0.00086137536,0.0037903518,0.0042753583,0.00006950771],"about_ca_topic_score_codex":0.07606561,"about_ca_topic_score_gemma":0.04744884,"teacher_disagreement_score":0.07606561,"about_ca_system_score_codex":0.0015617298,"about_ca_system_score_gemma":0.000758408,"threshold_uncertainty_score":0.15124571},"labels":[],"label_agreement":null},{"id":"W2166352556","doi":"10.5430/ijfr.v3n4p69","title":"Attracting Foreign Direct Investment in Developing Countries: Determinants and Policies-A Comparative Study between Mozambique and China","year":2012,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Development and Aid","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Openness to experience; China; Business; Language change; Developing country; International economics; Foreign capital; Comparative advantage; International trade; Economics; Economic growth; Macroeconomics","score_opus":0.1802851443548902,"score_gpt":0.4931732768830768,"score_spread":0.3128881325281866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166352556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818075,0.0005274189,0.00001911308,0.00014066094,0.0000012592182,0.000007726177,0.00009886715,0.0000014119962,0.0010228223],"genre_scores_gemma":[0.9989513,0.00056570716,0.000020586505,0.000012762073,0.0000017077729,0.000005951239,0.00009833362,5.299735e-7,0.0003430299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999729,0.000046808556,0.000017849232,0.000021746004,0.00003408501,0.00015052083],"domain_scores_gemma":[0.99876547,0.00028354145,0.0004503765,0.00003651999,0.0002281605,0.00023600327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005173215,0.0003216861,0.00023174916,0.0018271505,0.0006443866,0.0011902449,0.00018232592,0.0002454074,0.0013045328],"category_scores_gemma":[0.0014020295,0.00016195406,0.0003973231,0.0028056416,0.0004895819,0.00042787183,0.00051154406,0.0002975477,0.00009714273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032247543,0.00003956515,0.9927471,0.000054962216,0.000045211247,0.00023681385,0.0006404056,0.0006315151,0.0003355103,0.0007466575,0.00019735299,0.0042925808],"study_design_scores_gemma":[0.0000056996796,0.00003011926,0.9969799,0.000038853374,0.000027826822,0.000056588662,0.0015650775,0.00041640058,0.00010655479,0.000053081152,0.0007142155,0.000005597482],"about_ca_topic_score_codex":0.14614235,"about_ca_topic_score_gemma":0.19491251,"teacher_disagreement_score":0.14614235,"about_ca_system_score_codex":0.0020462682,"about_ca_system_score_gemma":0.002972526,"threshold_uncertainty_score":0.29058343},"labels":[],"label_agreement":null},{"id":"W2167902962","doi":"10.5430/ijfr.v6n3p29","title":"The Distribution of the Burden of US Health Care Financing","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality; Georgia State University; Emory University; City University of New York; Robert Wood Johnson Foundation","keywords":"Health care; Subsidy; Health care financing; Benchmarking; Equity (law); Finance; Business; Revenue; Government (linguistics); Public finance; Risk financing; Public economics; Economics; Economic growth","score_opus":0.1527116501883913,"score_gpt":0.41522940115339263,"score_spread":0.2625177509650013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167902962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84209704,0.007731548,0.021085657,0.013061747,0.00022913191,0.00024906071,0.029111745,0.00050223945,0.08593173],"genre_scores_gemma":[0.97626936,0.003760712,0.0034368872,0.0004623461,0.00012901312,0.0001205266,0.010073928,0.000047106216,0.0057000974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819404,0.000486289,0.00014072332,0.00021979216,0.00063596485,0.00032304056],"domain_scores_gemma":[0.99706405,0.0010884879,0.000738049,0.00023175334,0.0006778146,0.00019988067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001438082,0.00026746216,0.00032927727,0.0050753755,0.00036127222,0.0018545884,0.00039122454,0.00054199947,0.007944929],"category_scores_gemma":[0.012927461,0.0002967938,0.00046173303,0.0073634135,0.00072500744,0.0012385761,0.0013274153,0.00090115995,0.000978214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017866147,0.00012807263,0.4216253,0.00022661994,0.00022653503,0.0005105659,0.0013030709,0.022099536,0.0018946338,0.23776276,0.06537253,0.24867162],"study_design_scores_gemma":[0.00004362193,0.0001090448,0.7289197,0.0003612094,0.00008513468,0.0018090862,0.0020839768,0.043338187,0.0015015376,0.125818,0.095833585,0.000096948905],"about_ca_topic_score_codex":0.027060088,"about_ca_topic_score_gemma":0.016023343,"teacher_disagreement_score":0.027060088,"about_ca_system_score_codex":0.0027756365,"about_ca_system_score_gemma":0.0011984445,"threshold_uncertainty_score":0.053805172},"labels":[],"label_agreement":null},{"id":"W2171702735","doi":"10.5430/ijfr.v5n3p159","title":"Bancassurance in Tunisia: What Are the Efficiency Gains?","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Bancassurance; Business; Actuarial science; Affect (linguistics); Industrial organization; General insurance; Insurance policy; Statistics; Insurance law; Mathematics","score_opus":0.08084136746500352,"score_gpt":0.3410919090614395,"score_spread":0.26025054159643596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171702735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830934,0.0038830172,0.0010226427,0.0027772994,0.000023553677,0.000020102349,0.0004556139,0.000020711368,0.008703638],"genre_scores_gemma":[0.9966222,0.0008435662,0.0003024191,0.00011642138,0.000027540993,0.0000045678116,0.00021079944,0.0000050970743,0.0018673079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989802,0.00025850013,0.000054620174,0.00011840101,0.00026784668,0.00032041103],"domain_scores_gemma":[0.9980836,0.0004778339,0.0008032934,0.00007170561,0.00043165276,0.00013198772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015370086,0.00030261805,0.0003099003,0.0009787892,0.00035821137,0.0027238282,0.00033723674,0.00052266306,0.0033324442],"category_scores_gemma":[0.0033824455,0.00012707453,0.0004339435,0.0012388781,0.0005105036,0.0013811061,0.00058616675,0.0004763058,0.00035322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009466955,0.00044230712,0.7775496,0.0006351342,0.0005592993,0.0020199833,0.0012903133,0.025620494,0.0063362685,0.02003258,0.0040443665,0.16052295],"study_design_scores_gemma":[0.000033965018,0.00017443698,0.9693941,0.00016362556,0.00010731685,0.0003556696,0.0028459374,0.008829231,0.0025438822,0.0014397326,0.014092075,0.000020134532],"about_ca_topic_score_codex":0.04023633,"about_ca_topic_score_gemma":0.037278727,"teacher_disagreement_score":0.04023633,"about_ca_system_score_codex":0.003996953,"about_ca_system_score_gemma":0.0015055664,"threshold_uncertainty_score":0.080004275},"labels":[],"label_agreement":null},{"id":"W2186403380","doi":"10.5430/ijfr.v7n1p9","title":"An Investigation of the Recent Linkages of Consumer Prices in Japan","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Zengin Foundation For Studies On Economics And Finance","keywords":"Econometrics; Error correction model; Economics; Impulse (physics); Impulse response; Core (optical fiber); Empirical research; Sample (material); Cointegration; Statistics; Computer science; Mathematics; Telecommunications","score_opus":0.28827504911025165,"score_gpt":0.37852579826610516,"score_spread":0.09025074915585352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186403380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99757475,0.0002883221,0.0003205784,0.00017540083,0.000010579879,0.0000033200704,0.0001957219,0.0000057657903,0.0014255363],"genre_scores_gemma":[0.99869496,0.00033816305,0.00020416433,0.000026342821,0.00002635845,0.000002517974,0.00035341203,0.0000037557513,0.0003505202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997931,0.000028434428,0.00002569459,0.000059369973,0.000059039223,0.00003441039],"domain_scores_gemma":[0.99800414,0.00030976144,0.0008225383,0.0000935805,0.00063746196,0.0001325309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064048363,0.00014728465,0.00026327296,0.0013055134,0.0003208114,0.0010542962,0.00020774518,0.0003615854,0.0010501026],"category_scores_gemma":[0.0030417354,0.0001735074,0.00026351956,0.0032258877,0.0002937588,0.0008324776,0.0005063038,0.00046798575,0.0001008172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015039272,0.00007290343,0.9605861,0.00014034155,0.00026125505,0.0010288579,0.003048068,0.0023004196,0.0027367598,0.00331141,0.0010142041,0.025349386],"study_design_scores_gemma":[0.0000032914156,0.000025454725,0.9952225,0.00000860603,0.000055747376,0.00007466848,0.0006713879,0.0018901658,0.00020453692,0.00019997037,0.0016327467,0.000010876157],"about_ca_topic_score_codex":0.024884023,"about_ca_topic_score_gemma":0.026581328,"teacher_disagreement_score":0.024884023,"about_ca_system_score_codex":0.00073367875,"about_ca_system_score_gemma":0.00042825725,"threshold_uncertainty_score":0.049478352},"labels":[],"label_agreement":null},{"id":"W2188988993","doi":"10.5430/ijfr.v7n1p1","title":"Cross-cultural Differences in Interpreting IAS 37 Probability Phrases","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Terminology; Accounting; Set (abstract data type); Accrual; Psychology; Linguistics; Cognitive psychology; Computer science; Business","score_opus":0.08981779146304734,"score_gpt":0.3803522116240643,"score_spread":0.29053442016101694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2188988993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802142,0.00020444577,0.0023299514,0.00021999651,0.000030794923,0.000032165353,0.000048624403,0.000018657876,0.016901122],"genre_scores_gemma":[0.99782145,0.00020636863,0.00084949343,0.00008337585,0.0000076233177,0.000011852895,0.000046365396,0.000019640658,0.00095390045],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99355185,0.0035094249,0.0007899976,0.00031681845,0.0014017037,0.00043020523],"domain_scores_gemma":[0.9795982,0.011217912,0.0035617177,0.0019612983,0.0032173172,0.00044350457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073962435,0.00039497003,0.00023396958,0.0015464431,0.00072966254,0.0041561015,0.00044527018,0.00040374818,0.0041192495],"category_scores_gemma":[0.034760743,0.00023821305,0.00041326784,0.0008697291,0.0026368329,0.0020208142,0.0018139378,0.0010058235,0.000904851],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036355524,0.00017289257,0.21565785,0.00027064778,0.0001596703,0.0009811074,0.6787562,0.00072005193,0.017237924,0.015362913,0.0011983579,0.06911892],"study_design_scores_gemma":[0.000036785015,0.000495933,0.35192004,0.00073408027,0.00016436042,0.0033376832,0.5839364,0.003159472,0.013898836,0.015158314,0.026913462,0.00024463487],"about_ca_topic_score_codex":0.0048326217,"about_ca_topic_score_gemma":0.0044532157,"teacher_disagreement_score":0.0073962435,"about_ca_system_score_codex":0.0007300434,"about_ca_system_score_gemma":0.00069646555,"threshold_uncertainty_score":0.03911549},"labels":[],"label_agreement":null},{"id":"W2221834434","doi":"10.5430/ijfr.v7n1p75","title":"An Empirical Investigation into the Applicability of Fama-French Three Factor Model in Explaining Portfolio Returns: Evidence from Non-Financial Firms on the Ghana Stock Exchange","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Portfolio; Economics; Financial economics; Econometrics; Stock (firearms); Stock market; Exchange rate; Monetary economics; Finance","score_opus":0.2735145132879083,"score_gpt":0.3879617312399939,"score_spread":0.11444721795208557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221834434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958295,0.0008864906,0.0011068828,0.0006651607,0.000007763551,0.000014225016,0.00016508634,0.000010501972,0.0013143714],"genre_scores_gemma":[0.9984572,0.00058478495,0.0003478602,0.000043227024,0.000017227168,0.0000043456616,0.00029138074,0.0000028034506,0.00025118017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913627,0.00052565156,0.000047670044,0.00009758459,0.000101477046,0.000091419744],"domain_scores_gemma":[0.969688,0.02450343,0.0035692304,0.0009115735,0.0008359088,0.00049187854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043335794,0.0005382177,0.00048020796,0.0013418543,0.00052955974,0.0013650332,0.0005998079,0.00091897906,0.0035125196],"category_scores_gemma":[0.01955386,0.00019214064,0.00073611137,0.0018876285,0.0007922764,0.0016674997,0.00048182442,0.00089758687,0.00054801913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004598719,0.00031477422,0.95209247,0.0001568213,0.00039262368,0.0016422042,0.0014136623,0.0082256505,0.00057436747,0.0053731026,0.001407834,0.027946586],"study_design_scores_gemma":[0.00019445817,0.00056473346,0.9190918,0.00016725624,0.00039427928,0.00085121935,0.0065166648,0.060177848,0.0007911441,0.006710784,0.0044873483,0.00005253233],"about_ca_topic_score_codex":0.0335222,"about_ca_topic_score_gemma":0.016465727,"teacher_disagreement_score":0.0335222,"about_ca_system_score_codex":0.000676772,"about_ca_system_score_gemma":0.0005704399,"threshold_uncertainty_score":0.066654146},"labels":[],"label_agreement":null},{"id":"W2236093483","doi":"10.5430/ijfr.v7n1p121","title":"The Dynamics of Oil and Stock Prices Comovements","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Stock (firearms); Oil price; Error correction model; Econometrics; Monetary economics; Short run; Stock market index; Market capitalization; Stock market; Financial economics","score_opus":0.10299916058883726,"score_gpt":0.3603148798629492,"score_spread":0.2573157192741119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236093483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900003,0.00034687243,0.0029308647,0.0006125366,0.000014684532,0.000008911888,0.00025653339,0.000050651033,0.0057787076],"genre_scores_gemma":[0.9982582,0.00018124502,0.0002802817,0.000013426606,0.000011283122,0.0000029081605,0.00010802341,0.0000060346533,0.0011386513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999777,0.000052544194,0.000018899102,0.0000445284,0.00007082931,0.000036160098],"domain_scores_gemma":[0.9978381,0.0011912958,0.00048216293,0.00011070156,0.00024986078,0.00012793079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006890722,0.00018221921,0.00037872183,0.0011021827,0.00021500209,0.001907506,0.00025379416,0.00041425452,0.0024951345],"category_scores_gemma":[0.007915473,0.00021462687,0.0002512989,0.0014529894,0.0004651106,0.0015975108,0.0006135365,0.00057094276,0.0003428681],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079935475,0.00028431043,0.5287534,0.00015607881,0.00048323692,0.0040808553,0.0025001536,0.12740476,0.02139088,0.20707023,0.004112719,0.102964036],"study_design_scores_gemma":[0.00005856706,0.00014823694,0.49020848,0.00004279904,0.00011163013,0.0007036917,0.0014576953,0.39553648,0.0030853467,0.10192058,0.0066304575,0.00009592836],"about_ca_topic_score_codex":0.004746864,"about_ca_topic_score_gemma":0.0038327454,"teacher_disagreement_score":0.004746864,"about_ca_system_score_codex":0.00067425607,"about_ca_system_score_gemma":0.00037432072,"threshold_uncertainty_score":0.009438455},"labels":[],"label_agreement":null},{"id":"W2236850433","doi":"10.5430/ijfr.v7n1p130","title":"The Effect of the Perception of Deposit Bank Rate, Quality of Service, and the Using of Banking Technology towards Rural Fellow’s Interest to Save Money in Bank Rakyat Indonesia Inc. Unit Wates – Blitar","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interest rate; Sample (material); Service (business); Unit (ring theory); Business; Quality (philosophy); Simple random sample; Service quality; National bank; Population; Finance; Marketing; Mathematics","score_opus":0.08906962069907705,"score_gpt":0.4141520961622664,"score_spread":0.32508247546318936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236850433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990452,0.00002841359,0.000017469149,0.000073842355,0.0000047935687,0.0000041926833,0.000010986723,9.569543e-7,0.0008141128],"genre_scores_gemma":[0.9990901,0.000034405708,0.000023212891,0.00001979894,0.0000030279289,0.0000057046936,0.000018126868,7.321839e-7,0.0008049859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885213,0.000502693,0.0000476112,0.000121364676,0.00021608293,0.0002600062],"domain_scores_gemma":[0.9925833,0.00299252,0.0014391465,0.00015781735,0.0006482892,0.0021789505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012096444,0.00020809946,0.00022099774,0.0003469055,0.0007123598,0.0012310845,0.00029301783,0.00043929508,0.008668181],"category_scores_gemma":[0.0052866223,0.00020206432,0.00053806073,0.00026652287,0.0008218587,0.00039299016,0.00076767453,0.0010688127,0.0005478666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006532202,0.0022238446,0.96770334,0.00008498037,0.00011839124,0.0005582125,0.01566037,0.00021451504,0.0016093233,0.00034539547,0.0009554149,0.0098730195],"study_design_scores_gemma":[0.000013635661,0.00051798444,0.9827927,0.000027251368,0.000036435773,0.00006800065,0.015406381,0.00027481522,0.00020824178,0.000051966792,0.0005936948,0.000008967474],"about_ca_topic_score_codex":0.015792267,"about_ca_topic_score_gemma":0.019892475,"teacher_disagreement_score":0.015792267,"about_ca_system_score_codex":0.00089908397,"about_ca_system_score_gemma":0.00092131994,"threshold_uncertainty_score":0.03140074},"labels":[],"label_agreement":null},{"id":"W2236906603","doi":"10.5430/ijfr.v9n1p171","title":"Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Italy: Economic History and Contemporary Issues","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Survey of Professional Forecasters; Predictive power; Survey data collection; Econometrics; Inflation (cosmology); Benchmark (surveying); Market timing; Economics; Market data; Financial economics; Statistics; Finance; Monetary policy; Monetary economics; Mathematics; Geography","score_opus":0.18995330967899562,"score_gpt":0.345457169390295,"score_spread":0.1555038597112994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236906603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9268606,0.0041251094,0.036726616,0.0035120973,0.0003248847,0.00008724353,0.008001871,0.00041251408,0.019949116],"genre_scores_gemma":[0.9938474,0.000654424,0.0012029521,0.0002274607,0.00024614757,0.000024363126,0.0033106434,0.000021356067,0.00046519618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.990553,0.005761853,0.0004190774,0.000986383,0.001954883,0.00032488332],"domain_scores_gemma":[0.7901251,0.15358974,0.03248758,0.014586232,0.0079341335,0.0012772923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022052107,0.0003987443,0.0009400975,0.0024810159,0.00020116426,0.0025044028,0.0009114262,0.0012942281,0.002690519],"category_scores_gemma":[0.15332603,0.000338521,0.000599525,0.003548725,0.0008650783,0.0038521914,0.0008277644,0.0011291396,0.0013817659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006201175,0.00013599497,0.90345365,0.00020721991,0.0008443649,0.00006657577,0.0006057294,0.011637255,0.00023331579,0.0058419555,0.0068469425,0.069506906],"study_design_scores_gemma":[0.000095447154,0.0006018327,0.8774635,0.00024362314,0.0006808332,0.00033415545,0.001060699,0.09187242,0.0015503621,0.016564853,0.009399903,0.00013234615],"about_ca_topic_score_codex":0.0019996834,"about_ca_topic_score_gemma":0.0016794517,"teacher_disagreement_score":0.022052107,"about_ca_system_score_codex":0.00040773672,"about_ca_system_score_gemma":0.0003926099,"threshold_uncertainty_score":0.11662412},"labels":[],"label_agreement":null},{"id":"W2239699765","doi":"10.5430/ijfr.v7n1p135","title":"Large Shareholder’s Identity and Stock Price Synchronicity: Evidence from a MENA Market","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Synchronicity; Shareholder; Monetary economics; Stock (firearms); Business; Empirical evidence; Stock price; Stock market; Economics; Control (management); Financial economics; Financial system; Corporate governance; Finance","score_opus":0.16726334477295654,"score_gpt":0.38146937695272753,"score_spread":0.214206032179771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239699765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983694,0.000074821546,0.000048976086,0.0001233567,0.0000030958413,0.000004921541,0.00005057202,0.0000017400279,0.0013231826],"genre_scores_gemma":[0.9993917,0.000058060465,0.000027741435,0.000022916922,0.000012452564,0.0000015885394,0.00010499034,0.0000012556413,0.00037918356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955136,0.00012359311,0.000032944914,0.00008245043,0.00011153904,0.00009818815],"domain_scores_gemma":[0.98972404,0.0021014127,0.005971045,0.00047463903,0.00049883715,0.0012300322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015236833,0.00017090341,0.00029484186,0.0009056114,0.00088107755,0.0016622285,0.0004283756,0.00042643302,0.0069535943],"category_scores_gemma":[0.0043800673,0.00016992781,0.0002648033,0.0009401387,0.0010966386,0.0014551668,0.00129557,0.00061837176,0.0007642767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037130516,0.00033934182,0.9918527,0.000016380627,0.00007589306,0.00033758042,0.0009905419,0.00009735685,0.00032158094,0.0011846216,0.00032371053,0.0040888875],"study_design_scores_gemma":[0.000050764844,0.00016645026,0.9934964,0.000010103369,0.000043776807,0.00014065606,0.0029858202,0.001005929,0.0002549331,0.0005203099,0.0013137403,0.000010947103],"about_ca_topic_score_codex":0.0049273055,"about_ca_topic_score_gemma":0.005723917,"teacher_disagreement_score":0.0069535943,"about_ca_system_score_codex":0.0003515609,"about_ca_system_score_gemma":0.00039498074,"threshold_uncertainty_score":0.023262084},"labels":[],"label_agreement":null},{"id":"W2260336890","doi":"10.5430/ijfr.v7n1p207","title":"Effects of Shadow Banking on Return — Empirical Study Based on Chinese Commercial Banks","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Business; Risk–return spectrum; Revenue; Return on assets; Financial system; Finance; Economics; Profitability index","score_opus":0.0908139137663802,"score_gpt":0.3918717427332957,"score_spread":0.3010578289669155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260336890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994823,0.00007804557,0.00006373133,0.000047068508,0.0000011564654,0.0000042581714,0.000060087856,0.0000029920432,0.00026038123],"genre_scores_gemma":[0.99962854,0.000068996094,0.000026379217,0.000014115819,0.000006413892,0.0000023320606,0.00011063865,7.862756e-7,0.00014168398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911696,0.0002504109,0.00007836848,0.00018126103,0.00015968642,0.00021329985],"domain_scores_gemma":[0.991911,0.0033470304,0.0025282498,0.0004625525,0.000855754,0.00089555373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015329396,0.0002788962,0.00043366765,0.0012792716,0.0005320366,0.001160534,0.00051423087,0.0005867349,0.0021266018],"category_scores_gemma":[0.005317022,0.00016406042,0.00068491447,0.0015528026,0.0009925436,0.0008493711,0.0007340652,0.00074568565,0.00030268237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105883075,0.00012239235,0.9934604,0.000017066981,0.00006821502,0.00040063434,0.000495912,0.0011287426,0.00029575496,0.00031034753,0.00024082689,0.0033538048],"study_design_scores_gemma":[0.000009210455,0.000078153615,0.99273443,0.0000069713246,0.00006090111,0.000094990435,0.0006514293,0.0057882927,0.00020804009,0.00014833496,0.00020977156,0.000009461951],"about_ca_topic_score_codex":0.04120445,"about_ca_topic_score_gemma":0.023616863,"teacher_disagreement_score":0.04120445,"about_ca_system_score_codex":0.0012567233,"about_ca_system_score_gemma":0.00089174253,"threshold_uncertainty_score":0.08192921},"labels":[],"label_agreement":null},{"id":"W2262311362","doi":"10.5430/ijfr.v7n1p195","title":"Opting for a Controlled-Firm Majority Independent Directors Exemption to NYSE or NASDAQ Listing Requirements: Much Ado about Nothing?","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Listing (finance); Business; Debt; Cash; Stewardship (theology); Accounting; Monetary economics; Workforce; Finance; Economics; Law","score_opus":0.16755963987338712,"score_gpt":0.40597370463878685,"score_spread":0.23841406476539972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262311362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99168044,0.00017114627,0.0002139416,0.0010160235,0.00002240991,0.000026764172,0.00016517077,0.000011546684,0.006692482],"genre_scores_gemma":[0.99696285,0.000047316516,0.000108519496,0.00032857768,0.000016289749,0.000007005065,0.0001429421,0.0000021095234,0.0023843062],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989525,0.00013761372,0.00006320136,0.00015029682,0.00036274924,0.00033359628],"domain_scores_gemma":[0.98567516,0.002272737,0.008395614,0.0007526974,0.0007394854,0.0021644353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015564924,0.000088012646,0.00019021788,0.0003774461,0.00065842154,0.0011469033,0.0004698486,0.00045547434,0.0048397635],"category_scores_gemma":[0.0064914916,0.00009670233,0.0001943647,0.00035562183,0.00060513144,0.0007009863,0.000660904,0.0007259903,0.00035240065],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002708384,0.00031447932,0.9487977,0.00004813594,0.00005602803,0.00053608365,0.00087760226,0.00022673118,0.004165203,0.002547495,0.0052261334,0.036933508],"study_design_scores_gemma":[0.000037282567,0.00022110804,0.9860869,0.000029246987,0.000016745216,0.00024838326,0.0018192162,0.00024942055,0.0015253021,0.0005821103,0.009168342,0.000015879414],"about_ca_topic_score_codex":0.01065031,"about_ca_topic_score_gemma":0.034130335,"teacher_disagreement_score":0.01065031,"about_ca_system_score_codex":0.0007051878,"about_ca_system_score_gemma":0.0008166428,"threshold_uncertainty_score":0.021176636},"labels":[],"label_agreement":null},{"id":"W2287469755","doi":"10.5430/ijfr.v7n2p39","title":"Are Institutional Investors Beneficial to Family Firm Performance? Evidence from the French Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shareholder; Institutional investor; Stock exchange; Business; Accounting; Agency (philosophy); Agency cost; Context (archaeology); Principal–agent problem; Stock (firearms); Stock market; Monetary economics; Financial system; Corporate governance; Finance; Economics","score_opus":0.14720903787125494,"score_gpt":0.3326160260123585,"score_spread":0.18540698814110357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287469755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945533,0.0019085761,0.000042687338,0.0010684981,0.000008453629,0.000003254828,0.00024772173,0.0000032565667,0.0021642847],"genre_scores_gemma":[0.9990483,0.00039147897,0.000012672361,0.000059847353,0.000016801203,8.3581364e-7,0.00014154962,7.33358e-7,0.00032779714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990613,0.00032181022,0.000065356515,0.00014088482,0.00018878866,0.00022187113],"domain_scores_gemma":[0.9792494,0.005983043,0.011693089,0.0005395711,0.0009560579,0.0015788388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023178756,0.00020024207,0.0003269163,0.0011895644,0.00055859465,0.0015714325,0.00044383277,0.0008193631,0.0046435357],"category_scores_gemma":[0.00808051,0.00009637351,0.00033221795,0.0008765737,0.00061628217,0.0010531783,0.0006180686,0.00049755507,0.00035981517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027072543,0.00011056409,0.9855144,0.000030452225,0.0001358686,0.00029513746,0.00044437236,0.00017371148,0.00013678844,0.00045849246,0.00081015914,0.0116193965],"study_design_scores_gemma":[0.000008554904,0.00006763567,0.99804175,0.000019921616,0.000039658862,0.00007651068,0.0007035422,0.00017471181,0.00006415603,0.00005715507,0.00074195495,0.0000045545557],"about_ca_topic_score_codex":0.04818233,"about_ca_topic_score_gemma":0.051634178,"teacher_disagreement_score":0.04818233,"about_ca_system_score_codex":0.0010375159,"about_ca_system_score_gemma":0.00058993115,"threshold_uncertainty_score":0.0958038},"labels":[],"label_agreement":null},{"id":"W2304524219","doi":"10.5430/ijfr.v7n2p122","title":"Hysteresis Effect on Unemployment for Men and Women: A Panel Unit Root Test for OECD Countries","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Economics; Hysteresis; Business cycle; Unit root; NAIRU; Natural rate of unemployment; Shock (circulatory); Context (archaeology); Full employment; Labour economics; Demographic economics; Econometrics; Unemployment rate; Macroeconomics","score_opus":0.17206186716216992,"score_gpt":0.3574614893410308,"score_spread":0.18539962217886086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304524219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906247,0.00046017361,0.0014863854,0.00022560479,0.000058172755,0.00002779543,0.0036226506,0.000052567335,0.0034418409],"genre_scores_gemma":[0.99591905,0.00011537347,0.0003985488,0.00005672962,0.000029146038,0.000031749438,0.0028808003,0.00001537005,0.00055320305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982414,0.00087280513,0.00008854087,0.00031332384,0.00020458196,0.00027937183],"domain_scores_gemma":[0.9906126,0.0061781514,0.0016155427,0.0006419928,0.0005287127,0.0004229734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034277725,0.00032303526,0.0008173372,0.001249707,0.00044876413,0.0009262684,0.00044330722,0.00049825606,0.0045742462],"category_scores_gemma":[0.009564819,0.00013576291,0.0014634848,0.0017332764,0.0006340611,0.0005451368,0.00080810016,0.0007677246,0.00054904545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093263516,0.00017596644,0.96515054,0.00011189172,0.0011500265,0.00066958717,0.0009229963,0.0043692496,0.0003470898,0.0012241914,0.005202774,0.019743077],"study_design_scores_gemma":[0.000045823257,0.00036576227,0.9839541,0.000047329584,0.00041219703,0.00012605332,0.0024073971,0.008011987,0.00029462352,0.00056754926,0.0037421938,0.000024936257],"about_ca_topic_score_codex":0.020721253,"about_ca_topic_score_gemma":0.00976074,"teacher_disagreement_score":0.020721253,"about_ca_system_score_codex":0.00043270618,"about_ca_system_score_gemma":0.00055773096,"threshold_uncertainty_score":0.041201293},"labels":[],"label_agreement":null},{"id":"W2305211144","doi":"10.5430/ijfr.v7n2p134","title":"The Effects of Tariff Policy under the Fixed Exchange Rate Regime","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tariff; Economics; Consumption (sociology); Exchange rate; Fixed exchange rates; Term (time); Open economy; Small open economy; Exchange-rate regime; Econometrics; Macroeconomics; Monetary economics; International economics","score_opus":0.1056621885415818,"score_gpt":0.3417673746372765,"score_spread":0.23610518609569472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305211144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813643,0.0009156366,0.0054404223,0.0007158765,0.0001217362,0.000028180335,0.00036140176,0.000046061454,0.011006271],"genre_scores_gemma":[0.9982469,0.0003633569,0.00037628625,0.00006136749,0.000015235814,0.0000047383437,0.00006434283,0.0000058014507,0.00086195266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997067,0.000113024966,0.000016054155,0.00005023734,0.00002996775,0.00008400768],"domain_scores_gemma":[0.9985262,0.0006765324,0.0003900753,0.00011292672,0.00019205215,0.000102224236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009451754,0.0002802922,0.00035310347,0.0003905294,0.00027858315,0.0010099241,0.00027082185,0.00047285418,0.0025737393],"category_scores_gemma":[0.0039267754,0.00011641294,0.0004912803,0.00035355182,0.00041122278,0.0008431415,0.00035661503,0.0008197962,0.0001868162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040986384,0.0011427264,0.124244906,0.0006477793,0.0008366562,0.0022878787,0.00050438585,0.5012064,0.032419458,0.25708306,0.0063202414,0.06920785],"study_design_scores_gemma":[0.00040845337,0.002006802,0.20195508,0.00012315306,0.0008981223,0.0006133448,0.0020842,0.6281376,0.019826213,0.13271855,0.011050571,0.0001778312],"about_ca_topic_score_codex":0.004739663,"about_ca_topic_score_gemma":0.0030985242,"teacher_disagreement_score":0.004739663,"about_ca_system_score_codex":0.0007257837,"about_ca_system_score_gemma":0.0005335247,"threshold_uncertainty_score":0.00942415},"labels":[],"label_agreement":null},{"id":"W2308039153","doi":"10.5430/ijfr.v7n2p98","title":"Forecasting Portfolio Balance Using Return Mean, Standard Deviation and Spending","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Standard deviation; Volatility (finance); Portfolio; Economics; Government spending; Proxy (statistics); Econometrics; Modern portfolio theory; Absolute deviation; Balance (ability); Financial economics; Statistics; Mathematics; Welfare","score_opus":0.15786897544676906,"score_gpt":0.3468856323900313,"score_spread":0.18901665694326222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308039153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78051764,0.00049336057,0.2093284,0.00039800734,0.00007350717,0.000040499202,0.0013814514,0.0007795293,0.006987575],"genre_scores_gemma":[0.97452366,0.00022032822,0.02321089,0.00002169499,0.00003757316,0.000021080374,0.001025009,0.00005042327,0.00088945084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942136,0.000101883365,0.000053994794,0.00011759741,0.0002481246,0.000057043137],"domain_scores_gemma":[0.9973726,0.0009520757,0.00072745874,0.00023100384,0.00059952476,0.0001174626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001654028,0.00050592795,0.000587904,0.0020882546,0.00018411977,0.001337429,0.000415257,0.0006034922,0.0010894212],"category_scores_gemma":[0.010774942,0.00026972746,0.00040474572,0.0017263743,0.00019471342,0.0017758338,0.0004966569,0.0007142894,0.0005791768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032962696,0.00008793197,0.26268142,0.000069391885,0.00020806173,0.00024970798,0.00019555772,0.55396587,0.0071748076,0.009273696,0.0027005963,0.16306333],"study_design_scores_gemma":[0.000013887944,0.000084119645,0.06065923,0.000023460472,0.00003464995,0.00008898144,0.000046057994,0.92780644,0.003378392,0.0060781315,0.0017438309,0.00004289566],"about_ca_topic_score_codex":0.0052438118,"about_ca_topic_score_gemma":0.0038141082,"teacher_disagreement_score":0.0052438118,"about_ca_system_score_codex":0.0006654099,"about_ca_system_score_gemma":0.00042999745,"threshold_uncertainty_score":0.010426581},"labels":[],"label_agreement":null},{"id":"W2308855067","doi":"10.5430/ijfr.v7n2p163","title":"“Impact of EXPO 2020 on Dubai Financial Market” – An Event Study on Banks, Investment and Insurance Sectors","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Event study; Abnormal return; Business; Financial sector; Finance; Event (particle physics); Economics; Financial system","score_opus":0.04123191664024609,"score_gpt":0.3619636874291064,"score_spread":0.3207317707888603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308855067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99265164,0.00037353003,0.00013015211,0.00048549805,0.000037048623,0.00002219146,0.0005621911,0.000009176651,0.005728594],"genre_scores_gemma":[0.99854857,0.00021748384,0.000046136378,0.000067112866,0.00004053517,0.000005320187,0.00035189267,0.0000016662442,0.00072109554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997278,0.000053443528,0.000021061212,0.000036519916,0.00009760428,0.00006348833],"domain_scores_gemma":[0.9988073,0.00026416493,0.00051322643,0.000039431823,0.00021897662,0.00015689692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005261006,0.00015853414,0.00017125103,0.000701653,0.0002820973,0.0011791027,0.00015490555,0.00047420745,0.0014708835],"category_scores_gemma":[0.0015158008,0.00007228342,0.00018795847,0.00062103284,0.00028098896,0.00071716815,0.0005575699,0.0005537331,0.00022699121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006530975,0.00028301094,0.95981234,0.00017283985,0.00011585574,0.0031678893,0.0018947204,0.0016932857,0.0032788967,0.002318919,0.0045192926,0.02208977],"study_design_scores_gemma":[0.0000041050375,0.00019367611,0.99052167,0.000022094504,0.000016773141,0.00030538504,0.0025295771,0.0013889892,0.0008306536,0.0002084872,0.0039620805,0.000016528476],"about_ca_topic_score_codex":0.005754891,"about_ca_topic_score_gemma":0.005725823,"teacher_disagreement_score":0.005754891,"about_ca_system_score_codex":0.0005338755,"about_ca_system_score_gemma":0.0002852026,"threshold_uncertainty_score":0.0114427805},"labels":[],"label_agreement":null},{"id":"W2310636687","doi":"10.5430/ijfr.v7n2p93","title":"Testing Explanatory Power of Two Behavioral Models for Price Continuation","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Continuation; Economics; Explanatory power; Behavioral economics; Phenomenon; Financial economics; Econometrics; Stock (firearms); Stock market; Stock price; Attribution; Microeconomics; Psychology; Social psychology; Computer science","score_opus":0.21006378974932616,"score_gpt":0.3842384319309765,"score_spread":0.17417464218165035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2310636687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966897,0.00004151695,0.0015631303,0.00022834541,0.000012711815,0.000040536845,0.00018087275,0.000015946041,0.0012271855],"genre_scores_gemma":[0.9987953,0.000028405617,0.00047876505,0.000026552807,0.000012222173,0.000034214703,0.0003601316,0.0000045140046,0.00025977803],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810624,0.00084097945,0.00013613964,0.0005095389,0.00019191534,0.00021521068],"domain_scores_gemma":[0.910206,0.06748813,0.0111679435,0.0069351546,0.0016635658,0.002539134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008553719,0.00084330136,0.00063158676,0.0013119346,0.0006162343,0.002412127,0.0016045674,0.0019910792,0.009000463],"category_scores_gemma":[0.042569958,0.00040803515,0.001480814,0.0007866008,0.0010602539,0.0022939132,0.0015391192,0.0017636644,0.0008161379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020278604,0.0018599973,0.97006255,0.00006663422,0.0006396303,0.00022003004,0.00094461924,0.003989552,0.0006524294,0.0054135127,0.00051705586,0.013606182],"study_design_scores_gemma":[0.00065170025,0.0018298804,0.7523116,0.00004607431,0.00075384945,0.0003464387,0.0017934522,0.22309865,0.00083075976,0.017478384,0.00076508796,0.00009411115],"about_ca_topic_score_codex":0.0049990625,"about_ca_topic_score_gemma":0.0017936347,"teacher_disagreement_score":0.009000463,"about_ca_system_score_codex":0.00076335337,"about_ca_system_score_gemma":0.00086874847,"threshold_uncertainty_score":0.045236886},"labels":[],"label_agreement":null},{"id":"W2312393538","doi":"10.5430/ijfr.v7n2p171","title":"An Empirical Research on Investor Biases in Financial Decision-Making, Financial Risk Tolerance and Financial Personality","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Personality; Big Five personality traits; Financial risk; Sample (material); Investment (military); Finance; Logistic regression; Scope (computer science); Psychology; Actuarial science; Business; Social psychology","score_opus":0.19388267088405112,"score_gpt":0.44021916440191994,"score_spread":0.24633649351786882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312393538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804974,0.00019567099,0.0001588426,0.00008996828,0.000004873547,0.000004004648,0.000012284305,6.991784e-7,0.0014839671],"genre_scores_gemma":[0.99948055,0.0001626718,0.00011310118,0.000022414963,0.0000055951377,0.0000024493866,0.000010519928,3.603486e-7,0.00020229048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938893,0.00026173212,0.0000447764,0.00004636858,0.0001763692,0.00008188355],"domain_scores_gemma":[0.9908303,0.0048375814,0.0028227752,0.00034848426,0.00056823477,0.0005926298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014873474,0.0001601257,0.00012863798,0.00058772025,0.00031405062,0.0010753588,0.00011092034,0.0002701766,0.0020727334],"category_scores_gemma":[0.007744126,0.000087921624,0.00018013481,0.0005882725,0.00059454225,0.00046472487,0.00040779696,0.0004493182,0.00012791387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080618884,0.00018715338,0.97845536,0.000053892305,0.000050780953,0.00015128589,0.0024313866,0.00018323111,0.0006275927,0.0006633411,0.00010326191,0.017012108],"study_design_scores_gemma":[0.0000029317819,0.0000655438,0.9961475,0.000027666865,0.000014678957,0.00016225912,0.0022294594,0.0002687744,0.00014066831,0.0005054785,0.00042907774,0.0000059703716],"about_ca_topic_score_codex":0.001180793,"about_ca_topic_score_gemma":0.0019542156,"teacher_disagreement_score":0.0020727334,"about_ca_system_score_codex":0.00027804685,"about_ca_system_score_gemma":0.00030992186,"threshold_uncertainty_score":0.007865906},"labels":[],"label_agreement":null},{"id":"W2333889967","doi":"10.5430/ijfr.v7n2p183","title":"The Role of Industry Effect and Market States in Taiwanese Momentum","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Momentum (technical analysis); Profitability index; Proxy (statistics); Economics; Econometrics; Financial economics; Monetary economics; Mathematics; Statistics; Finance","score_opus":0.024336965568720635,"score_gpt":0.2992913083889483,"score_spread":0.2749543428202277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333889967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948978,0.00027353098,0.00034669053,0.00036921768,0.00001559974,0.00001365843,0.00009977376,0.000008325306,0.0039753364],"genre_scores_gemma":[0.9990916,0.000055746023,0.00004870989,0.000025483985,0.000015822445,0.0000028012062,0.00007184857,0.0000028676072,0.00068504043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994023,0.00015352681,0.000061588755,0.000111861984,0.00011009654,0.00016064665],"domain_scores_gemma":[0.98633516,0.0078440495,0.0037227499,0.0005600976,0.00047736292,0.0010605667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015670253,0.00021816384,0.00030982323,0.0011466105,0.0005095724,0.0018474488,0.00028696842,0.0005707657,0.009385219],"category_scores_gemma":[0.008649213,0.00015265869,0.0004869825,0.0010654776,0.0007823771,0.00093392533,0.00083153887,0.0008172503,0.00037300965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021070275,0.00009182914,0.9911767,0.000012499324,0.00007943808,0.00028818965,0.0003537956,0.0002788277,0.00037725028,0.0009252197,0.0001801049,0.006025586],"study_design_scores_gemma":[0.000012659611,0.00010653535,0.9965404,0.000008014205,0.00006614936,0.000069214344,0.0006121003,0.0012922492,0.00018027365,0.0006215631,0.00048422525,0.0000066908465],"about_ca_topic_score_codex":0.010501342,"about_ca_topic_score_gemma":0.010683069,"teacher_disagreement_score":0.010501342,"about_ca_system_score_codex":0.0004059751,"about_ca_system_score_gemma":0.00051925465,"threshold_uncertainty_score":0.031396687},"labels":[],"label_agreement":null},{"id":"W2337605591","doi":"10.5430/ijfr.v10n4p128","title":"Accountants’ Perception on the Factors Affecting the Adoption of International Financial Reporting Standards in Yemen","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"International Financial Reporting Standards; Accounting; Certification; Affect (linguistics); Government (linguistics); Business; Perception; Economics; Psychology; Management","score_opus":0.04272533261959394,"score_gpt":0.3461502274310918,"score_spread":0.30342489481149787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337605591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988086,0.00008628861,0.000032203225,0.00019372896,0.00000441781,0.0000043197374,0.000026331149,9.2253094e-7,0.0008431233],"genre_scores_gemma":[0.99928623,0.00016638693,0.00004678934,0.000043625983,0.0000035109213,0.000002952705,0.000029986328,4.8665925e-7,0.00041999316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927205,0.00024270371,0.00010699234,0.000045748773,0.00014494076,0.00018755172],"domain_scores_gemma":[0.99701095,0.0005154647,0.0016934366,0.000080953345,0.0004267557,0.00027235827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016494571,0.00019955363,0.000171776,0.0005747736,0.00062956236,0.0012303032,0.00014884175,0.00028769602,0.0022171554],"category_scores_gemma":[0.0032889897,0.00013683383,0.00020640338,0.0008137713,0.00051772204,0.00072319264,0.00047898712,0.00042359837,0.00019392744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011905723,0.000058566286,0.96515864,0.000061089166,0.000026472517,0.0005021771,0.017053535,0.00009943307,0.0015201526,0.00037598383,0.00040578438,0.014618991],"study_design_scores_gemma":[0.0000031784484,0.00011101818,0.9485563,0.000059998947,0.000017978977,0.00026753126,0.04781192,0.0002477832,0.0005330296,0.000057822937,0.0023139499,0.00001944154],"about_ca_topic_score_codex":0.016204642,"about_ca_topic_score_gemma":0.018529382,"teacher_disagreement_score":0.016204642,"about_ca_system_score_codex":0.0009507218,"about_ca_system_score_gemma":0.0007453315,"threshold_uncertainty_score":0.03222066},"labels":[],"label_agreement":null},{"id":"W2341105885","doi":"10.5430/ijfr.v7n2p233","title":"Investigating the Determinants of Inflation: A Panel Data Analysis","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Monetary policy; Emerging markets; Exchange rate; Panel data; Monetary economics; Inflation targeting; Macroeconomics; Economic stability; Econometrics","score_opus":0.44189445629327756,"score_gpt":0.40787373737312077,"score_spread":0.03402071892015679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341105885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784474,0.00042501485,0.00614137,0.000831809,0.000048217727,0.00006470244,0.011042518,0.000060014685,0.0029391204],"genre_scores_gemma":[0.97896624,0.00029721452,0.001983806,0.00012199823,0.000064683176,0.0000864998,0.01650652,0.000011323129,0.0019617141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984616,0.0008407539,0.000073240815,0.00023583541,0.00012850341,0.00026008804],"domain_scores_gemma":[0.9937609,0.003766942,0.0011354142,0.00060647406,0.00042400757,0.0003063644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002337182,0.00034037384,0.00069154945,0.0010072452,0.0006013666,0.0010489823,0.00064437,0.0011276803,0.005397976],"category_scores_gemma":[0.0041739233,0.00038079734,0.0013493313,0.002406304,0.00023030856,0.0005108765,0.0007166813,0.0016702907,0.0011819431],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063058495,0.0012527644,0.91410416,0.00011658455,0.0021287217,0.0008040526,0.00054401264,0.038259428,0.0012350283,0.0040065893,0.013692659,0.023225477],"study_design_scores_gemma":[0.000099761884,0.0004780243,0.9020958,0.00004948472,0.0010477939,0.00021033702,0.0011873966,0.08601976,0.0007120579,0.0022438923,0.005779287,0.00007625949],"about_ca_topic_score_codex":0.024505395,"about_ca_topic_score_gemma":0.01761385,"teacher_disagreement_score":0.024505395,"about_ca_system_score_codex":0.0004590356,"about_ca_system_score_gemma":0.00052379514,"threshold_uncertainty_score":0.048725545},"labels":[],"label_agreement":null},{"id":"W2356874510","doi":"10.5430/ijfr.v7n3p1","title":"A Critical Analysis of the Value Chain in the Rice Industry and Its Effects on the Export Rice Industry in Kien Giang Province, Vietnam","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Likert scale; Business; Value chain; Regression analysis; Chain (unit); Value (mathematics); Agricultural science; Agricultural economics; Marketing; Economics; Mathematics; Supply chain; Statistics; Biology","score_opus":0.04325208991126943,"score_gpt":0.3387567379822727,"score_spread":0.29550464807100324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2356874510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98830914,0.0003690089,0.00090421364,0.0009166897,0.000016057074,0.00018405006,0.00010533003,0.0000063384946,0.009189191],"genre_scores_gemma":[0.9983883,0.00018575585,0.00036361947,0.000023792809,0.0000031353525,0.000021182439,0.00003468416,0.0000015847062,0.0009779213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859303,0.0005513925,0.00006218703,0.00011291682,0.00038728214,0.00029331975],"domain_scores_gemma":[0.9887975,0.003659552,0.0020719285,0.00017539567,0.0044285357,0.0008669828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536216,0.00030484077,0.00011935864,0.0028772836,0.0025673234,0.0019235545,0.0004857097,0.00019115806,0.0028728927],"category_scores_gemma":[0.0071563353,0.00016685107,0.00027817307,0.0021115476,0.0018711952,0.0011782285,0.000966438,0.00050934555,0.00006925042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005560785,0.0003950806,0.7106181,0.0012211248,0.00014491823,0.003588608,0.12550054,0.0019579947,0.0048694676,0.016986454,0.004667944,0.12949361],"study_design_scores_gemma":[0.000027446911,0.0005592216,0.6666901,0.0005649861,0.00011157994,0.00038804364,0.2929291,0.0028248054,0.005866002,0.004465201,0.025520526,0.00005300449],"about_ca_topic_score_codex":0.06400286,"about_ca_topic_score_gemma":0.05995811,"teacher_disagreement_score":0.06400286,"about_ca_system_score_codex":0.010513677,"about_ca_system_score_gemma":0.009834326,"threshold_uncertainty_score":0.12726068},"labels":[],"label_agreement":null},{"id":"W2361116393","doi":"10.5430/ijfr.v7n3p28","title":"Seasonality Effect on the Vietnamese Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Seasonality; Stock exchange; Stock market; Stock (firearms); Financial economics; Business; Economics; Monetary economics; Finance; Geography; Statistics; Mathematics","score_opus":0.11373625064885916,"score_gpt":0.34813453440195635,"score_spread":0.23439828375309718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361116393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99554694,0.00017775317,0.00011916577,0.0001674739,0.000020971755,0.000008615587,0.00029859153,0.000004377833,0.0036560728],"genre_scores_gemma":[0.99857104,0.000091224894,0.00003886813,0.000020008914,0.000013962254,0.000004366876,0.00033210294,0.000002172835,0.00092633255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940133,0.00012359259,0.00005239492,0.00011268613,0.00021897066,0.000090970556],"domain_scores_gemma":[0.99626404,0.0015428185,0.0011362601,0.00018899547,0.00053253915,0.0003354393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088153814,0.00013072904,0.00015403079,0.0005491007,0.00026406054,0.0006620898,0.00014698708,0.00014477318,0.0035162484],"category_scores_gemma":[0.0039206757,0.00005595735,0.00024936374,0.0006533126,0.00022852585,0.00035824432,0.00026268273,0.0003105347,0.00016381609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016545487,0.00010367112,0.98235804,0.000050905324,0.00009211155,0.00042950283,0.00087898655,0.0006617097,0.00085139676,0.00091166364,0.001238723,0.012257689],"study_design_scores_gemma":[0.0000034792693,0.000067345296,0.9967392,0.000009644279,0.00002360537,0.000043777014,0.0005667761,0.0012287389,0.00023647786,0.00009477955,0.0009817493,0.000004510434],"about_ca_topic_score_codex":0.016543422,"about_ca_topic_score_gemma":0.015012074,"teacher_disagreement_score":0.016543422,"about_ca_system_score_codex":0.00040791987,"about_ca_system_score_gemma":0.0004660164,"threshold_uncertainty_score":0.032894254},"labels":[],"label_agreement":null},{"id":"W2382255756","doi":"10.5430/ijfr.v7n3p54","title":"Top Management Support, Organizational Learning, Innovative Behavior, Employee Commitment and Organizational Performance of Manufacturing Companies in Hai Phong","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organizational citizenship behavior; Organizational commitment; Psychology; Work behavior; Affect (linguistics); Perceived organizational support; Organizational behavior and human resources; Organizational behavior management; Organizational performance; Organizational learning; Absenteeism; Employee research; Affective events theory; Job performance; Job satisfaction; Contextual performance; Organization development; Organizational behavior; Work (physics); Business; Social psychology; Knowledge management; Job design; Marketing; Job attitude; Computer science","score_opus":0.025962126096051804,"score_gpt":0.3079007179255426,"score_spread":0.28193859182949077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382255756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771726,0.0006559167,0.000017374037,0.00047048187,0.00001669663,0.0000069904245,0.00010092853,0.0000010808571,0.0010133056],"genre_scores_gemma":[0.998711,0.00038132438,0.00003733846,0.000096022726,0.000015150044,0.000011392997,0.00010831096,8.0682764e-7,0.0006387273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979275,0.000036643,0.000017350012,0.000031158033,0.000050524868,0.00007152865],"domain_scores_gemma":[0.9994548,0.000116347466,0.0001288311,0.000010348321,0.000057363315,0.00023239921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044993564,0.00018726439,0.00020945308,0.0010574446,0.00089737785,0.00082711276,0.00029968235,0.00045742144,0.0023685598],"category_scores_gemma":[0.00052162807,0.00016742191,0.0002849227,0.0012375354,0.00028520342,0.00038320466,0.00043119476,0.00091147836,0.00017773818],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028250619,0.00027910192,0.9891594,0.000049147613,0.00003602258,0.00025292282,0.0021986538,0.000042730615,0.00020739826,0.00016236858,0.00059628877,0.00698763],"study_design_scores_gemma":[0.0000030164565,0.000091329035,0.9941625,0.00003655031,0.00002437345,0.00009202157,0.004692943,0.00013624024,0.000036685637,0.000041736355,0.0006777597,0.00000479444],"about_ca_topic_score_codex":0.023302345,"about_ca_topic_score_gemma":0.046406135,"teacher_disagreement_score":0.023302345,"about_ca_system_score_codex":0.0008752426,"about_ca_system_score_gemma":0.0011222216,"threshold_uncertainty_score":0.046333432},"labels":[],"label_agreement":null},{"id":"W2462415639","doi":"10.5430/ijfr.v7n4p96","title":"The Impact of Oil Price Shocks on the Economic Growth and Development of Cross River State, Nigeria","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Earnings; Government revenue; Government (linguistics); Economics; State (computer science); Public finance; Total revenue; Business; Economic policy; Finance; Macroeconomics","score_opus":0.05351467479439605,"score_gpt":0.35273991157805673,"score_spread":0.2992252367836607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462415639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974464,0.00009815786,0.000029139253,0.00032563176,0.0000050286712,0.0000021213405,0.00009675189,0.0000012892041,0.0019954091],"genre_scores_gemma":[0.9993957,0.00018068003,0.000015428235,0.000013213898,0.0000016962668,0.0000010205325,0.000054790515,5.205475e-7,0.00033709308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990535,0.00002255061,0.000008737524,0.000010141776,0.00001571411,0.00003753916],"domain_scores_gemma":[0.9996118,0.000103003535,0.00014498756,0.000011563776,0.00007191025,0.000056769066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949038,0.0001003388,0.000087149085,0.00032885722,0.00037755046,0.0011194657,0.00008400397,0.00020525961,0.0012296682],"category_scores_gemma":[0.00083625765,0.00009294727,0.00010501097,0.0005091276,0.00033121608,0.00054453494,0.00060410047,0.00043842677,0.00012373108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018922151,0.00010205642,0.97514445,0.000051682353,0.00003358109,0.0016403917,0.0013247343,0.0027393952,0.001566132,0.004235926,0.00115114,0.011821227],"study_design_scores_gemma":[0.000006722333,0.00007908025,0.984213,0.000046893998,0.000026968433,0.00033507348,0.007336428,0.0036796941,0.0008554916,0.0011849194,0.0022231664,0.000012541294],"about_ca_topic_score_codex":0.025483299,"about_ca_topic_score_gemma":0.046841707,"teacher_disagreement_score":0.025483299,"about_ca_system_score_codex":0.0009036305,"about_ca_system_score_gemma":0.0008545418,"threshold_uncertainty_score":0.050669968},"labels":[],"label_agreement":null},{"id":"W2463953960","doi":"10.5430/ijfr.v7n4p1","title":"International Parity Relations and Economic Shock: Evidence from Swiss Franc Unpegging","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interest rate parity; International Fisher effect; Economics; Econometrics; Parity (physics); Exchange rate; Forward rate; Interest rate; Statistics; Mathematics; Monetary economics; Real interest rate; Fisher hypothesis","score_opus":0.18451362135720004,"score_gpt":0.3634481811219178,"score_spread":0.17893455976471775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463953960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981964,0.00021751541,0.000057751557,0.00015642503,0.0000050266585,0.0000025323327,0.00031932472,0.0000020596713,0.0010429871],"genre_scores_gemma":[0.9987233,0.0002909438,0.000027068108,0.000032317097,0.000011610359,0.0000016190281,0.00059517537,0.0000012970792,0.0003166063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974877,0.000070517606,0.000019895848,0.00004475017,0.00006698993,0.000049127688],"domain_scores_gemma":[0.9955955,0.0011575093,0.002470506,0.00019109862,0.00031389447,0.00027139072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068093976,0.00022006372,0.0001479723,0.0007937148,0.00036181728,0.00077745644,0.00018165766,0.00040344484,0.0031632746],"category_scores_gemma":[0.0030400627,0.00009508838,0.00020647935,0.0014441375,0.0003794902,0.00037296145,0.00042773742,0.00039366056,0.0002940485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028770493,0.000052126874,0.9920551,0.000020293997,0.00005541008,0.00028998495,0.00046146323,0.00019041651,0.00021717067,0.00023948081,0.00043164508,0.0056990846],"study_design_scores_gemma":[0.0000048093843,0.000050623246,0.9984509,0.000007831621,0.000017632376,0.00006604191,0.0004378884,0.00027887936,0.00008512538,0.000038250313,0.0005578463,0.000004066588],"about_ca_topic_score_codex":0.07045005,"about_ca_topic_score_gemma":0.05676112,"teacher_disagreement_score":0.07045005,"about_ca_system_score_codex":0.00038083,"about_ca_system_score_gemma":0.0002935796,"threshold_uncertainty_score":0.14008003},"labels":[],"label_agreement":null},{"id":"W2468153418","doi":"10.5430/ijfr.v7n4p44","title":"Financial Development and Poverty Reduction: Exploring the Links between the Issues Using Evidence from Bangladesh","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Poverty reduction; Poverty; Economics; Finance; Development economics; Financial inclusion; Business; Economic growth; Financial services","score_opus":0.30640096878346157,"score_gpt":0.37989143497783373,"score_spread":0.07349046619437216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468153418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97651744,0.00504435,0.00061376,0.0022850072,0.000013028601,0.000034095097,0.0018820753,0.000005250574,0.013604894],"genre_scores_gemma":[0.9962352,0.0026945819,0.0001261299,0.000051593575,0.0000107792,0.000008614195,0.00038097557,0.0000011410339,0.0004909363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961156,0.0001280023,0.00003395623,0.000040171144,0.00009957731,0.00008671557],"domain_scores_gemma":[0.9967795,0.0011930586,0.0013167624,0.00005142742,0.00041198064,0.0002473387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006172798,0.0001997817,0.00023306806,0.0021056703,0.00044547586,0.0009794679,0.00017928147,0.0003223864,0.0023333747],"category_scores_gemma":[0.002772443,0.00008483126,0.00031352465,0.003138596,0.0004969034,0.0009713406,0.00093139237,0.00067269086,0.00025256115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008843976,0.00011020182,0.9528847,0.00035889432,0.00024903024,0.0006277383,0.0018372515,0.0016540767,0.00024870032,0.0041607902,0.0012755863,0.036504723],"study_design_scores_gemma":[0.000006027456,0.00013863663,0.980859,0.00027861175,0.00012654674,0.00017945979,0.0074721603,0.001125878,0.00026032876,0.0017079845,0.007829543,0.00001585812],"about_ca_topic_score_codex":0.027083842,"about_ca_topic_score_gemma":0.03631016,"teacher_disagreement_score":0.027083842,"about_ca_system_score_codex":0.0008991778,"about_ca_system_score_gemma":0.0009719853,"threshold_uncertainty_score":0.05385238},"labels":[],"label_agreement":null},{"id":"W2469741958","doi":"10.5430/ijfr.v7n4p29","title":"Faith Based Investing (FBI) Fund Performance: Luck or Skill?","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Luck; Percentile; Benchmark (surveying); Ranking (information retrieval); Mutual fund; Actuarial science; Economics; Econometrics; Business; Finance; Computer science; Statistics; Mathematics; Artificial intelligence; Theology","score_opus":0.0950330473030721,"score_gpt":0.3558371104785819,"score_spread":0.2608040631755098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469741958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475515,0.00025608856,0.0007439947,0.00023514601,0.0000062656277,0.0000046613955,0.00019866668,0.000015948503,0.003784177],"genre_scores_gemma":[0.9995189,0.000042915115,0.00008563306,0.000022157923,0.000011697024,0.0000011757984,0.000113780174,0.0000015773824,0.00020220448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992235,0.00015275822,0.00007225634,0.00011646507,0.00029951564,0.00013556621],"domain_scores_gemma":[0.98285186,0.006921454,0.006704867,0.0013610979,0.0011300353,0.0010307198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022887767,0.00018709252,0.00035162177,0.0015816777,0.00021593562,0.0012149897,0.00029790137,0.00031346342,0.0015282473],"category_scores_gemma":[0.016677555,0.000068995585,0.00019858463,0.0010443118,0.0009880804,0.0013976935,0.00092593965,0.00039420923,0.00039061892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013693658,0.000066652836,0.95830107,0.000030191022,0.000102976606,0.00010156183,0.0004712496,0.0013133175,0.00024747816,0.0025086803,0.00072935014,0.03599069],"study_design_scores_gemma":[0.0000087779945,0.00023404715,0.98926944,0.000041176863,0.000039192848,0.00017513365,0.0005030727,0.0028632677,0.00058989355,0.004899142,0.001359042,0.000017854569],"about_ca_topic_score_codex":0.0017629359,"about_ca_topic_score_gemma":0.002722084,"teacher_disagreement_score":0.0022887767,"about_ca_system_score_codex":0.00055548945,"about_ca_system_score_gemma":0.00022338996,"threshold_uncertainty_score":0.012104332},"labels":[],"label_agreement":null},{"id":"W2474554666","doi":"10.5430/ijfr.v7n4p66","title":"Management Control and Takeover Premiums","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control (management); Corporate governance; Business; Sample (material); Management control system; Negotiation; Control sample; Quality (philosophy); Accounting; Balanced scorecard; Value (mathematics); Finance; Economics; Marketing; Statistics","score_opus":0.03288358430388804,"score_gpt":0.30563343310985874,"score_spread":0.2727498488059707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474554666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870884,0.000054460805,0.000036140005,0.000036889516,0.0000023328344,0.0000034851473,0.0000597256,0.0000022829815,0.001095758],"genre_scores_gemma":[0.9995024,0.000020219411,0.000017222521,0.0000063234193,0.0000069719126,0.0000010028449,0.000110511006,5.016312e-7,0.00033485086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950707,0.00004763315,0.000042646723,0.00004571679,0.00022282422,0.00013407573],"domain_scores_gemma":[0.98861897,0.0018067297,0.0071190055,0.00021879314,0.0004520817,0.0017843732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064414064,0.00015510005,0.00016601663,0.001144765,0.00024414784,0.0008433741,0.00019272634,0.0002916747,0.0041913018],"category_scores_gemma":[0.005413176,0.00006828533,0.00020614653,0.0005475158,0.000290952,0.00059107086,0.00064380496,0.0006177644,0.00027430843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006206715,0.00010819534,0.9950299,0.0000053872627,0.00002114185,0.0000786104,0.0000877908,0.00005737466,0.00028263187,0.00013200921,0.0000879819,0.0040469207],"study_design_scores_gemma":[0.0000013334928,0.000035663477,0.99949205,0.0000016631442,0.0000040491195,0.00006562758,0.00009044946,0.00010618401,0.00008062206,0.000039839742,0.00008075257,0.0000016698302],"about_ca_topic_score_codex":0.0030470944,"about_ca_topic_score_gemma":0.004805288,"teacher_disagreement_score":0.0041913018,"about_ca_system_score_codex":0.00038657477,"about_ca_system_score_gemma":0.00017335544,"threshold_uncertainty_score":0.014021337},"labels":[],"label_agreement":null},{"id":"W2475267292","doi":"10.5430/ijfr.v7n4p149","title":"Accounting Conservatism Trends and Financial Distress: Considering the Endogeneity of the C-Score","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conservatism; Endogeneity; Accounting; Volatility (finance); Business; Distress; Economics; Econometrics; Finance; Psychology; Political science","score_opus":0.04368333641865207,"score_gpt":0.2998407380054595,"score_spread":0.25615740158680744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475267292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978529,0.0003983435,0.016310267,0.00053651864,0.000059893948,0.00020568738,0.0010490495,0.000064700864,0.0028465642],"genre_scores_gemma":[0.9961482,0.00008833365,0.0019654324,0.000048058562,0.000022301976,0.00006957896,0.00060155446,0.000006936704,0.0010495519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99616736,0.0011562514,0.00051185995,0.0007425764,0.0009000758,0.00052191346],"domain_scores_gemma":[0.9754809,0.012783413,0.007376226,0.0019235652,0.0017838895,0.0006519645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043868534,0.0004927391,0.00060592464,0.0019361547,0.0005365522,0.0015413117,0.0006192255,0.00074552756,0.0032498227],"category_scores_gemma":[0.015621255,0.0002158749,0.0010258963,0.003416047,0.001038589,0.00093266356,0.0012237646,0.0011658141,0.00032176432],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006484195,0.000064206055,0.9869207,0.00004408674,0.00035909965,0.00017015077,0.0002546111,0.0017935617,0.00038150643,0.0017675655,0.000363805,0.0078159375],"study_design_scores_gemma":[0.000016503851,0.0002014448,0.97578794,0.000041248044,0.0002379935,0.0001929931,0.00052864326,0.017515704,0.0010148358,0.002720885,0.0017048913,0.000036782236],"about_ca_topic_score_codex":0.012490905,"about_ca_topic_score_gemma":0.0078115743,"teacher_disagreement_score":0.012490905,"about_ca_system_score_codex":0.0007468338,"about_ca_system_score_gemma":0.001599373,"threshold_uncertainty_score":0.024836361},"labels":[],"label_agreement":null},{"id":"W2495968438","doi":"10.5430/ijfr.v7n4p190","title":"An Examination of the Relationship of Corporate Governance to Firm Performance: Empirical Evidence from Vietnamese Listed Companies","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Corporate governance; Business; Foreign ownership; Context (archaeology); Sample (material); Accounting; Emerging markets; Empirical evidence; Empirical examination; Monetary economics; Economics; Foreign direct investment; Finance; Actuarial science; Macroeconomics","score_opus":0.2209252245003738,"score_gpt":0.3736996211430987,"score_spread":0.15277439664272488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495968438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926656,0.00009402882,0.000026573543,0.000045012723,7.5021234e-7,0.000002433295,0.000071264665,2.7910224e-7,0.0004932169],"genre_scores_gemma":[0.9995413,0.000086927146,0.00002714267,0.000016428105,0.0000024833002,0.0000020014004,0.00014627069,4.139406e-7,0.00017707617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996449,0.00011839439,0.000030331532,0.000059519614,0.000056423287,0.0000904362],"domain_scores_gemma":[0.99347526,0.0029197894,0.0020760973,0.00017146238,0.00062944536,0.00072796154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081908517,0.0001596033,0.00020296431,0.0008585471,0.00042900024,0.0006993351,0.00024822346,0.00024402031,0.0021815547],"category_scores_gemma":[0.0025112533,0.0001085671,0.00019344396,0.0015966075,0.00049887435,0.00039514966,0.0005247031,0.00038461114,0.00021162732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026190864,0.00010045367,0.9950081,0.000023130027,0.000043191896,0.0002813856,0.0011669161,0.00012268583,0.00023315584,0.00014962572,0.000105769155,0.002739336],"study_design_scores_gemma":[0.0000037499988,0.00008752086,0.99643046,0.000014670011,0.000024142144,0.00009506789,0.0025867282,0.000269483,0.00010700499,0.000040206625,0.00033817216,0.0000027963679],"about_ca_topic_score_codex":0.03101993,"about_ca_topic_score_gemma":0.043542515,"teacher_disagreement_score":0.03101993,"about_ca_system_score_codex":0.0005068782,"about_ca_system_score_gemma":0.00066510844,"threshold_uncertainty_score":0.061678767},"labels":[],"label_agreement":null},{"id":"W2501263241","doi":"10.5430/ijfr.v7n4p175","title":"Don’t Put All of Your Alums in One Basket: College Admissions Decisions as a Portfolio Choice Problem","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Diversification (marketing strategy); Liberal arts education; Actuarial science; Asset (computer security); Perspective (graphical); Point (geometry); Financial economics; Economics; Business; Marketing; Higher education; Mathematics; Computer science","score_opus":0.17104350734305793,"score_gpt":0.3731801830971169,"score_spread":0.202136675754059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501263241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9668677,0.0005347976,0.017125752,0.006496676,0.00007815563,0.00016400263,0.00050982734,0.00004499277,0.0081781875],"genre_scores_gemma":[0.9827473,0.00044321615,0.0090890555,0.00033104737,0.00011208435,0.00011811436,0.00043047508,0.000018923833,0.0067096897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997832,0.001440755,0.00007044593,0.00027925515,0.0001191243,0.00025847182],"domain_scores_gemma":[0.98442256,0.012740734,0.0009894003,0.00025435493,0.0002292947,0.0013636282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050524687,0.00082561735,0.0017995336,0.0010044896,0.001290418,0.0050914977,0.0018743122,0.003858313,0.014537684],"category_scores_gemma":[0.017299447,0.0009236008,0.00108988,0.0015477254,0.0018451298,0.0033871233,0.0018618831,0.003489257,0.0011084218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037537466,0.004495758,0.17579116,0.00037133254,0.0008247263,0.0021930875,0.001764192,0.49425578,0.0013907129,0.15248413,0.019661695,0.14301367],"study_design_scores_gemma":[0.0006933846,0.00076165673,0.023857942,0.00009741742,0.00019281165,0.00036951146,0.0025544162,0.81873804,0.00044617814,0.14871624,0.003430672,0.0001417626],"about_ca_topic_score_codex":0.009554462,"about_ca_topic_score_gemma":0.008339303,"teacher_disagreement_score":0.014537684,"about_ca_system_score_codex":0.0021256285,"about_ca_system_score_gemma":0.0015696641,"threshold_uncertainty_score":0.048633397},"labels":[],"label_agreement":null},{"id":"W2527743196","doi":"10.5430/ijfr.v7n5p1","title":"Is S&P100 Index a Mean-Variance Efficient Portfolio?","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rate of return on a portfolio; Portfolio; Index (typography); Portfolio optimization; Variance (accounting); Capitalization-weighted index; Modern portfolio theory; Standard deviation; Econometrics; Economics; Stock market index; Stock (firearms); Post-modern portfolio theory; Risk–return spectrum; Statistics; Mathematics; Actuarial science; Replicating portfolio; Financial economics; Computer science; Stock market; Biology; Engineering","score_opus":0.10844971150340917,"score_gpt":0.34936046468385046,"score_spread":0.2409107531804413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527743196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87507653,0.0014032207,0.09479227,0.0019825606,0.000080043465,0.000050358343,0.00018098539,0.00009478214,0.02633925],"genre_scores_gemma":[0.99001795,0.0004717785,0.007110923,0.00011712949,0.00006773041,0.000014902126,0.00013272458,0.000014806378,0.0020520473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989808,0.00020738186,0.000082033584,0.0002212631,0.00037948444,0.0001288769],"domain_scores_gemma":[0.9966292,0.0013995516,0.0010891884,0.00027436393,0.00044828616,0.00015940187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018552126,0.00028194214,0.0007420884,0.00089185557,0.00033321363,0.0024303915,0.0004536045,0.00082344335,0.0020731152],"category_scores_gemma":[0.010136428,0.00019301522,0.0003937927,0.00089777505,0.00075175683,0.0023959375,0.0004290794,0.0005082168,0.0003990101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004153792,0.0002928034,0.2061881,0.00033746284,0.00060370145,0.0015237611,0.00037242874,0.051739823,0.015527666,0.41531155,0.0051873405,0.30250004],"study_design_scores_gemma":[0.00011617915,0.0007264972,0.17967016,0.00017446629,0.0002707135,0.0032017257,0.0008391766,0.32889542,0.011081091,0.45604324,0.018871695,0.0001096234],"about_ca_topic_score_codex":0.0005764551,"about_ca_topic_score_gemma":0.00051434414,"teacher_disagreement_score":0.0024303915,"about_ca_system_score_codex":0.0006391153,"about_ca_system_score_gemma":0.0007290259,"threshold_uncertainty_score":0.009811401},"labels":[],"label_agreement":null},{"id":"W2528988831","doi":"10.5430/ijfr.v7n5p7","title":"R&D Investment and Market Reactions in Non-crisis and Crisis Periods: Evidence from Taiwan","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Investment (military); Portfolio; Economics; Monetary economics; Value (mathematics); Financial economics; Sample (material); Period (music); Macroeconomics; Mathematics","score_opus":0.09452611266826438,"score_gpt":0.34265044440624626,"score_spread":0.24812433173798187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528988831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992686,0.000117738884,0.000017676763,0.000060122467,0.0000012943622,0.000003076663,0.00011615995,0.0000013135435,0.0004139256],"genre_scores_gemma":[0.99942434,0.00012442435,0.000016131995,0.000023623317,0.0000075194084,0.0000027451326,0.00024993697,8.936857e-7,0.00015052434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997955,0.000030830935,0.00003204629,0.00003904143,0.000044121174,0.000058526923],"domain_scores_gemma":[0.995516,0.00059164804,0.0031274015,0.00011943763,0.00026971006,0.00037571555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049333385,0.00018431473,0.000170624,0.0011707932,0.00020168241,0.00093448564,0.00021178275,0.00049082673,0.001229455],"category_scores_gemma":[0.0021397725,0.00013162763,0.00026447148,0.0011649089,0.00034287805,0.000615388,0.000612964,0.00041234327,0.00022440759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012671774,0.0000817094,0.9944959,0.000026774302,0.000042286345,0.00051024125,0.00054975325,0.0001777675,0.0006716983,0.00008605108,0.00022993748,0.0030011032],"study_design_scores_gemma":[0.000004368588,0.000053306398,0.9984158,0.0000052433056,0.000013436963,0.00013790045,0.00063858996,0.00028243085,0.00015012384,0.000027066613,0.0002678997,0.0000038716166],"about_ca_topic_score_codex":0.008469812,"about_ca_topic_score_gemma":0.0083016185,"teacher_disagreement_score":0.008469812,"about_ca_system_score_codex":0.00032006536,"about_ca_system_score_gemma":0.0002757522,"threshold_uncertainty_score":0.016841054},"labels":[],"label_agreement":null},{"id":"W2529120669","doi":"10.5430/ijfr.v7n5p56","title":"Lecturer’s Working Environment and Teaching Competence in Selected Agricultural Colleges in Vietnam","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Education and Work Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Competence (human resources); Christian ministry; Psychology; Agriculture; Medical education; Pedagogy; Political science; Geography; Medicine; Social psychology","score_opus":0.03939439390838109,"score_gpt":0.38130674428148936,"score_spread":0.3419123503731083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529120669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991027,0.00006862691,0.000016932961,0.000051152238,0.000003908013,0.000005025564,0.00004082481,5.0285047e-7,0.0007103221],"genre_scores_gemma":[0.9992975,0.000085208696,0.00002023218,0.000008890167,0.0000028157388,0.000004086395,0.000041000403,4.9362995e-7,0.0005397623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954116,0.00009675713,0.00005095904,0.000056803172,0.000088145774,0.00016616071],"domain_scores_gemma":[0.99837756,0.00021993785,0.00039695879,0.000026858228,0.00026192097,0.0007167063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005048641,0.000104879575,0.00011065316,0.00051703164,0.00066773116,0.0006971895,0.00017584095,0.00014281414,0.0021041417],"category_scores_gemma":[0.0013583745,0.00011988677,0.00012270195,0.00047902,0.0002840642,0.00029384534,0.00048911734,0.00024237446,0.00015020274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006852192,0.00018302597,0.9694155,0.00007544487,0.00001552617,0.00039586387,0.016836846,0.00012176656,0.0007374507,0.0001680215,0.0005345149,0.0114475265],"study_design_scores_gemma":[0.0000019669817,0.00007865964,0.97472274,0.000029399578,0.00000274136,0.00011807029,0.023651225,0.00009549795,0.0001269084,0.000014668218,0.0011528945,0.000005186687],"about_ca_topic_score_codex":0.02615797,"about_ca_topic_score_gemma":0.045096572,"teacher_disagreement_score":0.02615797,"about_ca_system_score_codex":0.0008603766,"about_ca_system_score_gemma":0.0012509294,"threshold_uncertainty_score":0.05201143},"labels":[],"label_agreement":null},{"id":"W2529125587","doi":"10.5430/ijfr.v7n5p77","title":"Does Dividend Policy Affect Firm Earnings? Empirical Evidence from Nigeria","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend payout ratio; Dividend policy; Dividend; Panel data; Leverage (statistics); Dividend yield; Stock exchange; Earnings; Monetary economics; Business; Earnings per share; Economics; Econometrics; Finance","score_opus":0.11341842943373467,"score_gpt":0.3976987174046305,"score_spread":0.2842802879708958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529125587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993064,0.0021792997,0.0000475777,0.0003598783,0.000009167235,0.000004379171,0.00017935288,0.0000014396147,0.0041549737],"genre_scores_gemma":[0.99705976,0.0022776746,0.00002791046,0.000034165154,0.000011683155,0.0000011293953,0.00015322029,7.292744e-7,0.00043369023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998272,0.000033969383,0.000021406231,0.00003012516,0.000043925163,0.00004331111],"domain_scores_gemma":[0.9958633,0.0022302268,0.0013694301,0.000077250304,0.00029668838,0.0001631471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005559429,0.00016893924,0.00022347474,0.0007496857,0.00031658539,0.001024042,0.00017437249,0.0002925893,0.0020850732],"category_scores_gemma":[0.0025569082,0.00012073389,0.00014541554,0.0010563572,0.00039614766,0.0004856738,0.000318928,0.0003743032,0.00026039762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023569546,0.00019031907,0.9783101,0.00022674957,0.00005194278,0.0009886269,0.00087004807,0.00053458987,0.0004953532,0.0014242615,0.0005020575,0.016170312],"study_design_scores_gemma":[0.000010374192,0.00006399305,0.9924644,0.00021121123,0.00006617204,0.00016788844,0.0026855543,0.0006275283,0.0005546253,0.0003840616,0.0027570135,0.0000071945515],"about_ca_topic_score_codex":0.012219949,"about_ca_topic_score_gemma":0.016014835,"teacher_disagreement_score":0.012219949,"about_ca_system_score_codex":0.0004533646,"about_ca_system_score_gemma":0.00051729067,"threshold_uncertainty_score":0.024297595},"labels":[],"label_agreement":null},{"id":"W2529234439","doi":"10.5430/ijfr.v7n5p99","title":"Estimation for Production Factors in World Major Economies","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Factor endowment; Endowment; Production (economics); Economics; Idle; Estimation; Factors of production; Econometrics; Economy; International trade; Comparative advantage; Microeconomics; Computer science; Political science","score_opus":0.10890869999061206,"score_gpt":0.3477679896167975,"score_spread":0.23885928962618544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529234439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95548034,0.0008043483,0.027565423,0.00013014172,0.000018951923,0.00006858008,0.01253771,0.00020409505,0.003190511],"genre_scores_gemma":[0.972969,0.0003498673,0.011234429,0.000009725759,0.000012418822,0.00008146237,0.014502365,0.000020306074,0.0008204036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994073,0.00013114788,0.000059370217,0.00020863488,0.000101977974,0.00009162578],"domain_scores_gemma":[0.9964862,0.002061965,0.00071391865,0.00027642155,0.0003409316,0.00012057653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013477902,0.00065112766,0.0005231505,0.0044059656,0.00023003094,0.0010391264,0.00028743804,0.00040439703,0.0028680393],"category_scores_gemma":[0.0072537726,0.00027627457,0.0013128357,0.0048384867,0.00029369438,0.0009881636,0.0006078166,0.0006010666,0.0009377688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010227143,0.000053890788,0.94066405,0.00007495408,0.0002618336,0.00015846152,0.0002169561,0.017666917,0.0006474748,0.0027631873,0.0015818689,0.035808057],"study_design_scores_gemma":[0.000018083001,0.00012822848,0.9448866,0.00006258411,0.00010979832,0.00017562714,0.0010947372,0.040293604,0.0016155023,0.004386849,0.007183373,0.000044930774],"about_ca_topic_score_codex":0.015440166,"about_ca_topic_score_gemma":0.005880324,"teacher_disagreement_score":0.015440166,"about_ca_system_score_codex":0.0006512738,"about_ca_system_score_gemma":0.00080490654,"threshold_uncertainty_score":0.030700564},"labels":[],"label_agreement":null},{"id":"W2529522548","doi":"10.5430/ijfr.v7n5p87","title":"Assessing Performance of Liquidity Adjusted Value-at-Risk Models","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Econometrics; Normality; Portfolio; Liquidity risk; Economics; Value at risk; Liquidity premium; Financial economics; Actuarial science; Statistics; Mathematics; Risk management; Monetary economics; Finance","score_opus":0.16939140974443617,"score_gpt":0.3499745582623189,"score_spread":0.1805831485178827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529522548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6639701,0.0034631393,0.32378942,0.0011976727,0.00013249577,0.00011221266,0.00071136537,0.0009694767,0.005654064],"genre_scores_gemma":[0.97658813,0.00048825162,0.021401776,0.00008221123,0.000059070302,0.000049439932,0.0005204787,0.000059202725,0.0007514367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99761,0.0014775493,0.00014421737,0.00026465976,0.00034215074,0.00016145896],"domain_scores_gemma":[0.97630936,0.019854035,0.001771475,0.0007600194,0.0008896423,0.00041550456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0088615455,0.0011589233,0.0012302487,0.0019591388,0.0004460893,0.0025958032,0.001532158,0.0020234548,0.0014783766],"category_scores_gemma":[0.02573666,0.0003973623,0.0010402962,0.0010272631,0.00057969126,0.0025574628,0.0015597696,0.0015144807,0.00035406672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023318958,0.00006879523,0.0086591495,0.000053352098,0.0001703663,0.000092470145,0.000052652493,0.97388655,0.0003158725,0.00703507,0.00042386117,0.009008655],"study_design_scores_gemma":[0.000007691079,0.000073678944,0.0007351958,0.000011026002,0.0000147235105,0.000020313408,0.000014451695,0.9955338,0.00012588469,0.003344924,0.000107994914,0.000010370661],"about_ca_topic_score_codex":0.00467061,"about_ca_topic_score_gemma":0.0021197835,"teacher_disagreement_score":0.0088615455,"about_ca_system_score_codex":0.0010026275,"about_ca_system_score_gemma":0.0011006246,"threshold_uncertainty_score":0.046864867},"labels":[],"label_agreement":null},{"id":"W2530412790","doi":"10.5430/ijfr.v7n5p165","title":"The Determinants of the Choice of Alternative Financing Methods of SMEs in Bank Credit Rationing: Evidence from Cameroon","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit rationing; Business; Context (archaeology); Flexibility (engineering); Finance; Rationing; Logistic regression; Bank credit; Sample (material); Small and medium-sized enterprises; Predictive power; Economics; Economic growth; Interest rate","score_opus":0.12863993573795102,"score_gpt":0.42518819986015216,"score_spread":0.29654826412220114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530412790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999238,0.00024179908,0.000026460706,0.00014238623,0.0000019786946,0.000004110984,0.000035221252,2.1088832e-7,0.00030973],"genre_scores_gemma":[0.9996617,0.0001722585,0.000025919146,0.00001976177,0.0000017405432,0.0000024160902,0.000021924809,3.2147108e-7,0.00009403479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999119,0.00043547817,0.000052956126,0.000071888375,0.00005280393,0.0002678405],"domain_scores_gemma":[0.9927786,0.002998293,0.0029570337,0.00012863235,0.0004509802,0.0006863491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018407519,0.00029236457,0.00022739085,0.0010106402,0.00080529705,0.0011633248,0.000288041,0.0004212397,0.003469162],"category_scores_gemma":[0.0057476982,0.00024977897,0.00026169908,0.0014624066,0.0010692782,0.0008280101,0.0008981627,0.00071645976,0.00016072625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016325896,0.000102614606,0.98895687,0.000053106854,0.000030419553,0.0006574961,0.0038924068,0.00010997984,0.00023344609,0.0004126829,0.00017240178,0.005215393],"study_design_scores_gemma":[0.0000094698535,0.0000714543,0.9867741,0.00014072983,0.00003316535,0.00023986942,0.011484556,0.0003564683,0.00011745417,0.00012353285,0.00063963415,0.000009448312],"about_ca_topic_score_codex":0.03736044,"about_ca_topic_score_gemma":0.051027678,"teacher_disagreement_score":0.03736044,"about_ca_system_score_codex":0.00080310804,"about_ca_system_score_gemma":0.0008479842,"threshold_uncertainty_score":0.074285924},"labels":[],"label_agreement":null},{"id":"W2530463768","doi":"10.5430/ijfr.v7n5p176","title":"An Empirical Analysis of Volatility Characteristics of Inter-Bank Offered Rate of International Financial Centers","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Interest rate; Financial market; Autoregressive conditional heteroskedasticity; Currency; Marketization; Economics; Econometrics; Monetary economics; Finance","score_opus":0.11191351375048497,"score_gpt":0.38617299653057213,"score_spread":0.27425948278008716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530463768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998494,0.00006190378,0.000693143,0.000026214908,0.0000040370337,0.0000036536621,0.00015823731,0.000021538432,0.0005371566],"genre_scores_gemma":[0.99940026,0.000025383613,0.00013918195,0.0000025531015,0.000004416213,0.0000016955468,0.00030321206,0.0000040388672,0.000119297874],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999532,0.00010514166,0.000033145272,0.00011661941,0.00012192215,0.00009122165],"domain_scores_gemma":[0.996804,0.0010728533,0.0009906396,0.0002897896,0.00047585287,0.000366786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011895456,0.00022152513,0.00038747297,0.0012346267,0.00022650433,0.00095502054,0.00044482198,0.0004228119,0.0009943316],"category_scores_gemma":[0.0052218693,0.00016628721,0.0004528262,0.0015582837,0.0003259855,0.0010249531,0.00033978606,0.00056602235,0.00023439784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004734829,0.00016785297,0.9529706,0.000044065808,0.0001863942,0.00047043886,0.00073313975,0.02015133,0.0022612172,0.0027897737,0.0014716373,0.018280054],"study_design_scores_gemma":[0.000018846586,0.00019304662,0.9108267,0.000012200863,0.000064464686,0.00032026684,0.0006563419,0.08482907,0.0013983144,0.00080863043,0.00082833954,0.000043740794],"about_ca_topic_score_codex":0.003008821,"about_ca_topic_score_gemma":0.0020789476,"teacher_disagreement_score":0.003008821,"about_ca_system_score_codex":0.00047452626,"about_ca_system_score_gemma":0.00023220657,"threshold_uncertainty_score":0.006290972},"labels":[],"label_agreement":null},{"id":"W2531301986","doi":"10.5430/ijfr.v7n5p190","title":"Internal Mechanisms of Governance and Risk Bearing of Banks: The Case of the CEMAC Zone","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Corporate governance; Business; Accounting; Financial system; Work (physics); Control (management); Monetary economics; Finance; Economics; Management","score_opus":0.037645985498273624,"score_gpt":0.30445042256705757,"score_spread":0.26680443706878393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531301986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597895,0.00035862075,0.00018967636,0.00023403081,0.0000026595449,0.0000068472236,0.000055424523,0.0000044570907,0.0031693447],"genre_scores_gemma":[0.99950063,0.0001067802,0.000045877918,0.000008133692,0.0000027513654,0.0000015627905,0.00002190867,7.5730776e-7,0.00031152717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940026,0.00020310174,0.000023945055,0.00008590623,0.00008661485,0.00020015822],"domain_scores_gemma":[0.99747556,0.00056996674,0.0011483603,0.0002405272,0.00027049985,0.0002950153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079261314,0.00015571783,0.0002991876,0.0014282648,0.0008503931,0.0029546183,0.0004735497,0.00067161536,0.0023184172],"category_scores_gemma":[0.002347202,0.00014328022,0.00017784668,0.0015793715,0.0018090033,0.0009072691,0.0017347984,0.00056248734,0.00017439612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043402825,0.0001612765,0.92083055,0.00012711447,0.0001633247,0.0041401717,0.012516553,0.008365224,0.0019826198,0.027471859,0.0013619903,0.02244537],"study_design_scores_gemma":[0.000023310844,0.00009156546,0.97094834,0.000101737605,0.000078326666,0.00080001465,0.014696522,0.004727779,0.000722817,0.0030115556,0.0047576805,0.00004042422],"about_ca_topic_score_codex":0.030596465,"about_ca_topic_score_gemma":0.028870497,"teacher_disagreement_score":0.030596465,"about_ca_system_score_codex":0.002148025,"about_ca_system_score_gemma":0.0008108025,"threshold_uncertainty_score":0.060836732},"labels":[],"label_agreement":null},{"id":"W2534709395","doi":"10.5430/ijfr.v7n5p203","title":"The Relationship between Listing Requirements and Market Quality: An Examination Using NASDAQ’s Tiered Market Structure","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Listing (finance); Quality (philosophy); Business; Cross listing; Market structure; Industrial organization; Finance; Corporate governance","score_opus":0.12787754250343977,"score_gpt":0.39153362573994704,"score_spread":0.26365608323650724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534709395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527353,0.00012003445,0.001572081,0.00022579104,0.000004871424,0.000045073102,0.00031458368,0.000021109427,0.0024228916],"genre_scores_gemma":[0.9987827,0.000024820818,0.0006519604,0.000021191818,0.000008381297,0.000013333938,0.00033031838,0.000004769375,0.00016266105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99302506,0.0018471273,0.0010761357,0.00036879748,0.0032027536,0.00048010686],"domain_scores_gemma":[0.7270569,0.10181187,0.136402,0.007866125,0.021406746,0.0054562995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009437542,0.00019406823,0.0003366356,0.0034646546,0.0004998325,0.0018904759,0.0006303957,0.0004815297,0.0025283524],"category_scores_gemma":[0.06792653,0.00018267361,0.00055509916,0.004866833,0.00086483976,0.0022985875,0.0010735947,0.0008950283,0.00023513514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066727815,0.00008654835,0.99269557,0.00001469522,0.000053949883,0.000038337497,0.00019566776,0.0006189058,0.0002687303,0.0007007332,0.00013068112,0.0051295515],"study_design_scores_gemma":[0.0000063207362,0.0001182188,0.99617946,0.0000068450627,0.000012770686,0.000037623187,0.00023542902,0.0024847984,0.00018433922,0.000426942,0.00029704138,0.000010330366],"about_ca_topic_score_codex":0.008038315,"about_ca_topic_score_gemma":0.0105015,"teacher_disagreement_score":0.009437542,"about_ca_system_score_codex":0.0016762464,"about_ca_system_score_gemma":0.0011775779,"threshold_uncertainty_score":0.04991108},"labels":[],"label_agreement":null},{"id":"W2560432209","doi":"10.5430/ijfr.v8n1p33","title":"The Analysis of Major Credit Risk Factors - The Case of the Vietnamese Commercial Banks","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit risk; Loan; Business; Credit history; Credit rating; Credit reference; Vietnamese; Credit enhancement; Interest rate; Order (exchange); Credit card interest; Financial system; Actuarial science; Finance","score_opus":0.051713634604900006,"score_gpt":0.33796263066571425,"score_spread":0.2862489960608142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560432209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99623066,0.00037522122,0.00057610206,0.0005932626,0.0000038564294,0.000023327262,0.00018470858,0.000002685142,0.0020102262],"genre_scores_gemma":[0.99904925,0.00022827343,0.00013982943,0.00002175322,0.000004853734,0.0000058461014,0.00008567833,5.855478e-7,0.00046395097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952793,0.00019368055,0.000027989052,0.0000662984,0.000064545005,0.0001195637],"domain_scores_gemma":[0.9959507,0.0019396512,0.0009670936,0.00014307398,0.0006289776,0.00037037945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010548573,0.0002462075,0.00024477902,0.0010724043,0.0005433904,0.0013644042,0.00031012256,0.0003892109,0.0023791147],"category_scores_gemma":[0.0035716034,0.00015678654,0.00038492272,0.0011625622,0.00039774945,0.000705255,0.0005434179,0.00060483185,0.00010755623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045544988,0.000096050724,0.98204064,0.000060150356,0.000074283496,0.0015808429,0.0014787915,0.0030479215,0.0002093841,0.0031687357,0.00034783233,0.007849849],"study_design_scores_gemma":[0.000006512081,0.00009183406,0.96869475,0.00009911597,0.00007124704,0.0006950259,0.007192963,0.017874528,0.0003549175,0.0021038756,0.0027983193,0.000016845512],"about_ca_topic_score_codex":0.05005319,"about_ca_topic_score_gemma":0.032748576,"teacher_disagreement_score":0.05005319,"about_ca_system_score_codex":0.0011574368,"about_ca_system_score_gemma":0.00160756,"threshold_uncertainty_score":0.09952366},"labels":[],"label_agreement":null},{"id":"W2561566614","doi":"10.5430/ijfr.v8n1p112","title":"The Economic Geography of Human Capital in Twentieth-Century Latin America","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Latin Americans; Human Development Index; Life expectancy; Per capita; Per capita income; Population; Geography; Gross domestic product; Welfare; Education economics; Economic growth; Indigenous; Development economics; Demographic economics; Higher education; Demography; Political science; Human development (humanity); Economics; Comparative education; Sociology","score_opus":0.04565790347178078,"score_gpt":0.3145907755301842,"score_spread":0.26893287205840344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561566614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770229,0.0041509136,0.0003674499,0.0011560201,0.000016612179,0.000008507943,0.00076504005,0.000014445581,0.016498145],"genre_scores_gemma":[0.99741286,0.0009405255,0.00009281432,0.00005746376,0.00002058762,0.00000857733,0.0004527077,0.00000541823,0.0010090934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968374,0.000062177576,0.000014679037,0.000049676877,0.000037065874,0.00015269178],"domain_scores_gemma":[0.9983865,0.0003007517,0.0007417916,0.00008251268,0.00020835997,0.0002799579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005684911,0.000194729,0.00022562296,0.0030894438,0.00059147854,0.0015410241,0.00022856615,0.00020543917,0.0030114325],"category_scores_gemma":[0.0027456407,0.00007180142,0.00032148007,0.0047877613,0.0009058905,0.0009449031,0.0014583896,0.00042401286,0.0002076838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046547706,0.000025993257,0.9773336,0.000054803466,0.000082004044,0.00025309998,0.003425578,0.00081276544,0.00036417492,0.005643524,0.0005526791,0.011405163],"study_design_scores_gemma":[0.000002156842,0.000010327852,0.99394256,0.000023512303,0.000007978736,0.00006484882,0.0018226084,0.000106180436,0.00005340106,0.0004925078,0.0034698697,0.000004123345],"about_ca_topic_score_codex":0.05902998,"about_ca_topic_score_gemma":0.055921506,"teacher_disagreement_score":0.05902998,"about_ca_system_score_codex":0.0010291056,"about_ca_system_score_gemma":0.00061833346,"threshold_uncertainty_score":0.11737281},"labels":[],"label_agreement":null},{"id":"W2563560249","doi":"10.5430/ijfr.v8n1p79","title":"Tick Size Reduction and the Components of the Bid-Ask Spread on the Taiwan Stock Exchange","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tick size; Stock exchange; Order (exchange); Econometrics; Stock market; Tick; Monetary economics; Stock (firearms); Market microstructure; Economics; Business; Financial economics; Biology; Geography; Finance; Ecology","score_opus":0.09941214218281018,"score_gpt":0.3110585593184282,"score_spread":0.211646417135618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563560249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99963045,0.000030067285,0.00003687478,0.000012247533,0.0000011171746,0.0000018273561,0.00003079834,0.0000020069235,0.00025462822],"genre_scores_gemma":[0.99963963,0.000024875138,0.000045708817,0.0000039176743,0.0000037644163,0.0000022409306,0.000109744324,0.0000011013109,0.00016887645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997694,0.00006562233,0.000023163131,0.00003147948,0.00006830753,0.000042068277],"domain_scores_gemma":[0.9950305,0.0023022403,0.0016298363,0.00030643132,0.00036862306,0.00036235442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070265203,0.00025990378,0.00019747515,0.00060345075,0.00014355168,0.0005163215,0.00023473644,0.00027697874,0.0018616519],"category_scores_gemma":[0.006230925,0.000073511874,0.00026230008,0.00047078132,0.0002404532,0.0004677425,0.00027711134,0.0005392437,0.00019153758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016722792,0.0008716323,0.9391527,0.000055774755,0.00021742917,0.00044968797,0.0003492511,0.012673737,0.012916643,0.001033772,0.00034185313,0.030265152],"study_design_scores_gemma":[0.000013100862,0.00029798746,0.9900871,0.0000030422254,0.000036227775,0.000042022704,0.00010558957,0.00808642,0.00096155674,0.00022598717,0.00013130474,0.000009646474],"about_ca_topic_score_codex":0.0049266415,"about_ca_topic_score_gemma":0.0047499696,"teacher_disagreement_score":0.0049266415,"about_ca_system_score_codex":0.00028525782,"about_ca_system_score_gemma":0.00024721283,"threshold_uncertainty_score":0.009795964},"labels":[],"label_agreement":null},{"id":"W2565976889","doi":"10.5430/ijfr.v8n1p65","title":"The Taxation of Environmental Pollution: A Model for Tax Revenue-Environmental Quality Tradeoffs","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental tax; Revenue; Tax revenue; Externality; Tax rate; Economics; Environmental quality; Constraint (computer-aided design); Point (geometry); Environmental economics; Microeconomics; Econometrics; Tax reform; Public economics; Macroeconomics; Finance; Mathematics","score_opus":0.23857461191793541,"score_gpt":0.3806331480236342,"score_spread":0.14205853610569877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565976889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34616977,0.0013164027,0.42676416,0.012603465,0.00016737642,0.00027851746,0.0012518885,0.00025962762,0.2111886],"genre_scores_gemma":[0.94906926,0.0007929353,0.013776326,0.00020597837,0.000049215272,0.00012454664,0.00013136343,0.00005600469,0.035794288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995654,0.00020395273,0.000011308807,0.00006460526,0.00006906876,0.000085604304],"domain_scores_gemma":[0.99941766,0.00033327297,0.000086990614,0.000037041802,0.00006482992,0.000060217626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008281719,0.0005685499,0.0007623709,0.0008005293,0.0009323019,0.0032295943,0.0017552067,0.0029262616,0.0075017284],"category_scores_gemma":[0.0024211684,0.0005679752,0.0010354987,0.0011525222,0.0015086102,0.00360443,0.0012350002,0.002066521,0.0005150185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004595195,0.00008044424,0.00072894245,0.00003262567,0.000018843039,0.00016872831,0.00006408353,0.7876121,0.00035466187,0.20605917,0.0011245589,0.0037099742],"study_design_scores_gemma":[0.000040833776,0.000033708224,0.00040886464,0.000020629806,0.000018475588,0.00008140989,0.00008091074,0.92037296,0.00011355834,0.07609958,0.0027098642,0.000019244413],"about_ca_topic_score_codex":0.02106934,"about_ca_topic_score_gemma":0.016054617,"teacher_disagreement_score":0.02106934,"about_ca_system_score_codex":0.004473571,"about_ca_system_score_gemma":0.0018346169,"threshold_uncertainty_score":0.041893423},"labels":[],"label_agreement":null},{"id":"W2566038556","doi":"10.5430/ijfr.v8n1p99","title":"Selection of PPP Projects in China Based on Government Guarantees and Fiscal Risk Control","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subsidy; Government (linguistics); Public–private partnership; Economics; Business; Public economics; Private sector; Finance; Control (management); General partnership; Investment (military); Fiscal sustainability; Fiscal policy; Macroeconomics; Economic growth; Market economy; Politics","score_opus":0.03203409076381849,"score_gpt":0.31904139255913344,"score_spread":0.287007301795315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566038556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769009,0.00018779645,0.017967252,0.0006771296,0.000015492675,0.00013612877,0.00026339115,0.00004680587,0.003805084],"genre_scores_gemma":[0.99630415,0.0001497402,0.0025462827,0.000017307653,0.0000032351777,0.000060102324,0.00009866236,0.000004327165,0.00081614405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982356,0.00087159977,0.00008492833,0.00018499474,0.00024255419,0.00038036075],"domain_scores_gemma":[0.99839956,0.00068112975,0.00034017002,0.00008514065,0.00022857075,0.000265524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029134166,0.0004981195,0.0007426469,0.00092080294,0.0009186293,0.0016989333,0.00081410015,0.00081393606,0.001276947],"category_scores_gemma":[0.0046819868,0.00047937236,0.0008073305,0.0013006923,0.0009999331,0.0014806138,0.0013226956,0.00069387845,0.000069088484],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023403112,0.0001353363,0.05251525,0.00012126436,0.00007346686,0.0008890083,0.00026796307,0.8858982,0.0008665117,0.036163013,0.0013531779,0.021482706],"study_design_scores_gemma":[0.00009194808,0.00012121588,0.014502207,0.000019033425,0.000035358993,0.00005548096,0.00029835931,0.96748817,0.0004660451,0.015933353,0.0009582983,0.00003061619],"about_ca_topic_score_codex":0.035435226,"about_ca_topic_score_gemma":0.02634348,"teacher_disagreement_score":0.035435226,"about_ca_system_score_codex":0.00383736,"about_ca_system_score_gemma":0.006412255,"threshold_uncertainty_score":0.070457935},"labels":[],"label_agreement":null},{"id":"W2570958801","doi":"10.5430/ijfr.v8n1p126","title":"The Corporate Response to Government Attacks on Tax Shelters","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Alabama","keywords":"Corporate tax; Taxpayer; Business; Tax avoidance; Government (linguistics); Multinational corporation; Tax reform; Audit; Indirect tax; Public economics; Accounting; Monetary economics; Economics; Finance; Macroeconomics","score_opus":0.07925902417711016,"score_gpt":0.3410381525533053,"score_spread":0.2617791283761951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570958801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534434,0.00003821864,0.000035445977,0.0002472659,0.0000034066534,0.000006623441,0.000015056972,0.0000018762244,0.004307585],"genre_scores_gemma":[0.9994042,0.000031275966,0.000020041867,0.000065998065,0.000005469197,0.0000020438395,0.000023015618,6.032355e-7,0.00044732122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990031,0.00034837864,0.000053290216,0.000088778106,0.000273277,0.00023314955],"domain_scores_gemma":[0.9835247,0.002750262,0.010880106,0.0007067263,0.0011162519,0.0010219456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012762509,0.00013392144,0.00017254589,0.0006713434,0.00071812695,0.0019691966,0.00031061049,0.0010557601,0.0016923862],"category_scores_gemma":[0.010496067,0.00007545126,0.000115679286,0.000512286,0.0008508061,0.0005664104,0.00094617234,0.0010189989,0.00032529625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041071398,0.00076087925,0.94726974,0.000030321136,0.00008993354,0.0003648116,0.004242322,0.0017727909,0.0029035488,0.0048040505,0.0019651088,0.035385758],"study_design_scores_gemma":[0.00001504069,0.0003501439,0.98408,0.000019329838,0.0000211048,0.00012564806,0.008038266,0.0014134544,0.0010741372,0.0010774272,0.0037669656,0.00001851002],"about_ca_topic_score_codex":0.005728519,"about_ca_topic_score_gemma":0.0070363167,"teacher_disagreement_score":0.005728519,"about_ca_system_score_codex":0.0011029552,"about_ca_system_score_gemma":0.00046882455,"threshold_uncertainty_score":0.011390328},"labels":[],"label_agreement":null},{"id":"W2576591539","doi":"10.5430/ijfr.v8n1p155","title":"Vietnamese Banking System in the Context of ASEAN Financial Integration","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Asset quality; Business; Context (archaeology); Profitability index; Market liquidity; Asset (computer security); Financial system; Competition (biology); Finance; Quality (philosophy); Capital adequacy ratio; Economics; Incentive; Market economy; Computer science","score_opus":0.05840220406010288,"score_gpt":0.3283876180361875,"score_spread":0.2699854139760846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576591539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808312,0.0007921913,0.00019856365,0.001333714,0.000013533292,0.000012865678,0.00014533143,0.0000025591785,0.016669985],"genre_scores_gemma":[0.9986834,0.00032625548,0.000058856767,0.00006932946,0.0000057920824,0.0000042452352,0.00006607102,6.873871e-7,0.00078541203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995894,0.000142417,0.00001970028,0.000036844198,0.00006370521,0.00014792114],"domain_scores_gemma":[0.9994727,0.000084628424,0.0001912836,0.000009817214,0.00012655198,0.00011511562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004041529,0.00010857237,0.00013215837,0.00073083513,0.0010381868,0.0020501951,0.00015431085,0.00022899458,0.0021003184],"category_scores_gemma":[0.00070361764,0.00006958412,0.000069481015,0.0014773471,0.00068345416,0.00070364214,0.0008577119,0.00035808553,0.00008734634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000176485,0.00020858373,0.81117755,0.0002589564,0.000090114874,0.014614985,0.032178693,0.0033370198,0.002010219,0.08608139,0.008101446,0.04176454],"study_design_scores_gemma":[0.000008739218,0.00006127199,0.9150544,0.0001833215,0.00002984217,0.0017508691,0.054404374,0.0033251175,0.00028647948,0.003977884,0.020891123,0.000026575859],"about_ca_topic_score_codex":0.058287088,"about_ca_topic_score_gemma":0.059269577,"teacher_disagreement_score":0.058287088,"about_ca_system_score_codex":0.002782671,"about_ca_system_score_gemma":0.0017954748,"threshold_uncertainty_score":0.11589563},"labels":[],"label_agreement":null},{"id":"W2578008269","doi":"10.5430/ijfr.v8n1p143","title":"The Determinants of Corporate Cash Holdings: The Case of a Small Emerging Market","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Jordan","keywords":"Leverage (statistics); Cash flow; Cash flow forecasting; Cash management; Operating cash flow; Cash conversion cycle; Business; Emerging markets; Monetary economics; Cash flow statement; Volatility (finance); Cash; Context (archaeology); Free cash flow; Economics; Finance","score_opus":0.08420292620806005,"score_gpt":0.3350329459883676,"score_spread":0.2508300197803075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578008269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938273,0.00005878906,0.000058075282,0.00007943031,4.1900603e-7,0.000002331027,0.00001314396,5.629113e-7,0.000404507],"genre_scores_gemma":[0.99973947,0.000060957245,0.000030162646,0.000005080006,0.0000023489335,0.0000010657251,0.00002297537,2.9289137e-7,0.00013755819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998503,0.000041199983,0.0000066038265,0.00002161107,0.000022303331,0.000058087604],"domain_scores_gemma":[0.997396,0.0006864255,0.0012090522,0.000053050204,0.00025177732,0.00040355892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058649,0.00016918105,0.00021349145,0.0008223084,0.0006431496,0.0012862748,0.00034631335,0.00029949355,0.0016208807],"category_scores_gemma":[0.002056013,0.000090251815,0.00020373095,0.0007394489,0.0006508981,0.0010666482,0.0007250244,0.00060028397,0.00010938564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014209654,0.00019511297,0.98018825,0.000024136642,0.000041540043,0.0031171027,0.0014668201,0.0028280127,0.0007240392,0.004223672,0.00022484986,0.0068244343],"study_design_scores_gemma":[0.000026722164,0.00019405826,0.9665921,0.000036053447,0.000063201944,0.00045370808,0.00912223,0.018693011,0.0006003094,0.0029707057,0.0012256709,0.000022268343],"about_ca_topic_score_codex":0.0206285,"about_ca_topic_score_gemma":0.028719181,"teacher_disagreement_score":0.0206285,"about_ca_system_score_codex":0.0006823494,"about_ca_system_score_gemma":0.00077167334,"threshold_uncertainty_score":0.041016877},"labels":[],"label_agreement":null},{"id":"W2580622878","doi":"10.5430/ijfr.v8n1p172","title":"Oil Price Fluctuations and Their Impact on Stock Market Returns in Jordan: Evidence from an Asymmetric Cointegration Analysis","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Predictability; Oil price; Stock (firearms); Stock market; Econometrics; Monetary economics; Financial economics; Stock market bubble","score_opus":0.06539889014701537,"score_gpt":0.36360839510505333,"score_spread":0.29820950495803794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580622878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998841,0.00009240736,0.00016839268,0.00010519269,0.0000019659853,0.000002056064,0.0000707746,0.000004292691,0.0007137934],"genre_scores_gemma":[0.99940467,0.00013871863,0.00006273097,0.0000134672655,0.000011952883,0.0000013891389,0.00017962827,0.000002253355,0.00018531474],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952483,0.00013693424,0.00005948296,0.00007582287,0.0001241686,0.00007875118],"domain_scores_gemma":[0.9949463,0.0014294845,0.002421716,0.00027003762,0.0006998144,0.00023267159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261333,0.00024847942,0.0003403969,0.0009855424,0.0002125144,0.0009568248,0.00031506483,0.00041125665,0.0013638105],"category_scores_gemma":[0.0056052348,0.00017854024,0.00029617842,0.0012734643,0.00038357507,0.0011114008,0.0005841653,0.0005393151,0.0003229361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067694584,0.0002770304,0.96356446,0.0000538843,0.00028848695,0.00079507515,0.0005961568,0.0090179825,0.002298395,0.003373914,0.00076246745,0.018295206],"study_design_scores_gemma":[0.000057725527,0.00018856683,0.9536121,0.000022735145,0.00015649671,0.00017218874,0.00094200287,0.03908362,0.0017867618,0.0026166744,0.0013376103,0.000023519826],"about_ca_topic_score_codex":0.005894474,"about_ca_topic_score_gemma":0.0045097475,"teacher_disagreement_score":0.005894474,"about_ca_system_score_codex":0.00041616333,"about_ca_system_score_gemma":0.000446003,"threshold_uncertainty_score":0.011720359},"labels":[],"label_agreement":null},{"id":"W2581756557","doi":"10.5430/ijfr.v8n1p166","title":"Noninterest Income and Financial Performance at Jordanian Banks","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Jordan","keywords":"Profitability index; Net interest income; Capital adequacy ratio; Financial system; Business; Equity (law); Monetary economics; Economics; Finance; Interest rate","score_opus":0.031192257184590136,"score_gpt":0.3058312781549093,"score_spread":0.27463902097031917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581756557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985043,0.0001820989,0.000017383962,0.00013063598,0.0000034211928,0.0000031864397,0.00011946427,0.0000016872935,0.0010377781],"genre_scores_gemma":[0.99887043,0.00013831249,0.000020069483,0.000017953764,0.00001184992,0.000002091374,0.00020849834,9.078568e-7,0.0007296811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949133,0.00012654142,0.00005556325,0.000046169414,0.00014737484,0.00013296987],"domain_scores_gemma":[0.99571985,0.0003065547,0.0024221062,0.00008772107,0.00085278583,0.00061115343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007479631,0.00017762266,0.0001637783,0.000939145,0.0003898366,0.0013258071,0.00025298577,0.00027918592,0.0022829424],"category_scores_gemma":[0.002308681,0.0000785913,0.0001802886,0.0011560252,0.00034109355,0.0005991654,0.0006447081,0.0004434923,0.0006939063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010080406,0.000111203546,0.99167186,0.000018665149,0.000023665496,0.00019719751,0.00063904276,0.00020598515,0.00017402852,0.00017824318,0.00054850953,0.006130719],"study_design_scores_gemma":[0.0000018468929,0.000047131154,0.99804085,0.000008274785,0.0000042283746,0.000046540983,0.0010700339,0.00013198759,0.000074907715,0.000041524294,0.0005292898,0.0000032997073],"about_ca_topic_score_codex":0.0067165634,"about_ca_topic_score_gemma":0.010580054,"teacher_disagreement_score":0.0067165634,"about_ca_system_score_codex":0.0009570791,"about_ca_system_score_gemma":0.0007943306,"threshold_uncertainty_score":0.0133548975},"labels":[],"label_agreement":null},{"id":"W2582304955","doi":"10.5430/ijfr.v8n1p181","title":"Impact of Financial Ratios on Non-Performing Loans of Publicly Traded Commercial Banks in Bangladesh","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan; Non-performing loan; Business; Capital adequacy ratio; Net interest margin; Financial ratio; Profit margin; Financial system; Return on assets; Finance; Sample (material); Participation loan; Order (exchange); Profit (economics); Economics; Profitability index","score_opus":0.04841090846835819,"score_gpt":0.35341363441245977,"score_spread":0.3050027259441016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582304955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975362,0.0001396556,0.00003706948,0.00019174247,0.0000030990982,0.0000050162007,0.00023367157,0.0000038697112,0.0018495717],"genre_scores_gemma":[0.999348,0.000073288225,0.000010374041,0.000011548328,0.0000031544555,0.0000011946023,0.000105878105,0.0000012380493,0.00044534152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998825,0.00036085537,0.00014413752,0.000162569,0.0002577201,0.0002497318],"domain_scores_gemma":[0.9882483,0.0030086578,0.0052268924,0.00036319872,0.0015478642,0.0016050482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081438996,0.00020337537,0.00023879088,0.00077630335,0.00043083957,0.001416539,0.00025721482,0.00030382932,0.004487311],"category_scores_gemma":[0.0071432153,0.0001277693,0.00021037838,0.0011200609,0.0005312352,0.00068545673,0.0006801199,0.00051971665,0.00066764175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012970253,0.000050589013,0.99200505,0.000015933,0.000029541534,0.00036414916,0.0004324554,0.00030085733,0.00035652335,0.00014696368,0.00043188166,0.0057364237],"study_design_scores_gemma":[0.0000033374959,0.000041017054,0.99736744,0.000007761812,0.000009725862,0.00011835617,0.0015281395,0.0002737629,0.00011126404,0.00007401872,0.00045971767,0.0000053495073],"about_ca_topic_score_codex":0.025902359,"about_ca_topic_score_gemma":0.029910736,"teacher_disagreement_score":0.025902359,"about_ca_system_score_codex":0.0010348049,"about_ca_system_score_gemma":0.0008634844,"threshold_uncertainty_score":0.05150318},"labels":[],"label_agreement":null},{"id":"W2591637381","doi":"10.5430/ijfr.v8n2p51","title":"Younger Customers' Outlooks when Selecting and Changing a Financial Services Provider: The Case of Maltese Students","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Università ta' Malta; HSBC Bank USA","keywords":"Leverage (statistics); Service provider; Business; Order (exchange); Maltese; Marketing; Financial services; Workforce; Service (business); Finance; Economics","score_opus":0.03522015213643117,"score_gpt":0.3604180001986253,"score_spread":0.32519784806219415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591637381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997538,0.000043671556,0.000030390936,0.00082882436,0.0000059513372,0.0000060217712,0.000008111367,0.0000012326208,0.0015377939],"genre_scores_gemma":[0.9984681,0.00011835758,0.000037844624,0.00021032279,0.0000058703695,0.0000033945653,0.0000071242057,0.000002562477,0.0011464453],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99846977,0.0005476338,0.00005665037,0.00007401775,0.00017433791,0.0006774923],"domain_scores_gemma":[0.9965391,0.0008538978,0.0005394431,0.00007878552,0.00035352682,0.001635245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018366037,0.00027091973,0.00037665584,0.0009925233,0.0070064394,0.0056621013,0.0007416628,0.0023116956,0.008464736],"category_scores_gemma":[0.0041917036,0.0003699157,0.00044071174,0.0012578329,0.0024425024,0.0018856828,0.0024259642,0.0029813615,0.0008080274],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002613228,0.00074732676,0.2861133,0.00006595157,0.000031785003,0.029843023,0.6535677,0.00015723056,0.0018083092,0.003653697,0.0026860014,0.021064388],"study_design_scores_gemma":[0.000007713139,0.000100702026,0.060499623,0.000041499712,0.000018921746,0.0029069292,0.9310069,0.00036306377,0.00029511977,0.0002466919,0.004477646,0.000035103687],"about_ca_topic_score_codex":0.059884872,"about_ca_topic_score_gemma":0.098586805,"teacher_disagreement_score":0.059884872,"about_ca_system_score_codex":0.0035477388,"about_ca_system_score_gemma":0.0022544274,"threshold_uncertainty_score":0.119072616},"labels":[],"label_agreement":null},{"id":"W2593641737","doi":"10.5430/ijfr.v8n2p1","title":"Housing Prices at the Time of QEs in California: Effect of Mortgage Rates","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bust; Interest rate; Economics; Boom; Monetary economics; Great recession; Recession; Macroeconomics; Labour economics","score_opus":0.056141715968494856,"score_gpt":0.3537307583359439,"score_spread":0.29758904236744904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593641737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996402,0.00015809051,0.00004525785,0.00048623286,0.000019125879,0.0000059471517,0.000714971,0.000011883129,0.0021564974],"genre_scores_gemma":[0.9970542,0.00019044096,0.000033782035,0.00006794469,0.00003405524,0.0000044008157,0.0013149144,0.000007380727,0.0012927873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966073,0.000038138085,0.000019661706,0.00008166449,0.00008161777,0.00011822466],"domain_scores_gemma":[0.9970535,0.00061908475,0.0009921329,0.00010326367,0.00058953604,0.0006424583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006683503,0.00022719472,0.00046088477,0.0005727092,0.00064142497,0.0019209363,0.00058383244,0.00093641883,0.0038466547],"category_scores_gemma":[0.0029353062,0.0003314862,0.00042266198,0.0007546368,0.00048674952,0.00091472693,0.000751504,0.0020829113,0.0004268761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010679681,0.00050409674,0.9776978,0.000059580103,0.00026900804,0.00050283514,0.00076602533,0.0030456975,0.0008476702,0.0010158004,0.0076302397,0.0065933825],"study_design_scores_gemma":[0.000016447686,0.00007432486,0.9970734,0.000007772027,0.00003083406,0.000018826831,0.00071911135,0.0010796618,0.00012624722,0.00005645344,0.0007867819,0.000010111038],"about_ca_topic_score_codex":0.25792402,"about_ca_topic_score_gemma":0.31916934,"teacher_disagreement_score":0.25792402,"about_ca_system_score_codex":0.0015973108,"about_ca_system_score_gemma":0.00089615723,"threshold_uncertainty_score":0.51284546},"labels":[],"label_agreement":null},{"id":"W2594162182","doi":"10.5430/ijfr.v8n2p40","title":"The Nonlinear Dynamic Relationship between Stock Prices and Exchange Rates in Asian Countries","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Nonparametric statistics; Volatility (finance); Exchange rate; Stock (firearms); Causality (physics); Stock exchange; Monetary economics; Nonlinear system; Granger causality; Financial economics; Finance","score_opus":0.11375795973262191,"score_gpt":0.40093060576572304,"score_spread":0.2871726460331011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594162182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667764,0.0003175098,0.0004757592,0.00019066864,0.000007006642,0.000004644208,0.00013405955,0.0000051756647,0.0021874353],"genre_scores_gemma":[0.99924743,0.0002608041,0.000120696706,0.000014485836,0.000005525616,0.0000023596137,0.000097248434,0.0000011633608,0.00025022728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975973,0.00007045782,0.000038615395,0.000042136326,0.000046177804,0.00004288895],"domain_scores_gemma":[0.99848515,0.00046193434,0.00068968895,0.00007492199,0.00019592425,0.000092489136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081451214,0.00022892146,0.00023905924,0.0010001046,0.0002481591,0.0013551551,0.00017660431,0.00023253712,0.0015006856],"category_scores_gemma":[0.002699009,0.00018022912,0.00036800117,0.001303307,0.0003787556,0.0010839929,0.00062780106,0.00045807747,0.00016318749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058454752,0.000030339666,0.97964936,0.00003956631,0.00014886555,0.00054890534,0.000499667,0.0043302085,0.0007090906,0.0040832814,0.00033242267,0.009569913],"study_design_scores_gemma":[0.000010647974,0.000046305744,0.9790371,0.000038101945,0.000109918095,0.00026279487,0.0012296111,0.015094402,0.00039939408,0.0027698444,0.0009822368,0.000019627252],"about_ca_topic_score_codex":0.009244286,"about_ca_topic_score_gemma":0.007621859,"teacher_disagreement_score":0.009244286,"about_ca_system_score_codex":0.0003429253,"about_ca_system_score_gemma":0.0004800489,"threshold_uncertainty_score":0.018381},"labels":[],"label_agreement":null},{"id":"W2594608058","doi":"10.5430/ijfr.v8n2p64","title":"Does Exports Promote the Economic Growth of China? A Long-Run View Point","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; China; Human capital; Total factor productivity; Panel data; Productivity; Short run; Consumption (sociology); Resource (disambiguation); Capital (architecture); International trade; International economics; Monetary economics; Macroeconomics; Economic growth; Econometrics","score_opus":0.04412417468092678,"score_gpt":0.3109374449484965,"score_spread":0.26681327026756974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594608058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838304,0.0019534542,0.00014644062,0.004060433,0.000024690771,0.000005764369,0.00020608449,0.000012901032,0.0097598415],"genre_scores_gemma":[0.9980514,0.00077270623,0.000029372133,0.000116426905,0.00002939971,0.0000016011797,0.00009890931,0.0000018923739,0.0008983219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978703,0.00003640739,0.000013963548,0.000034461144,0.0000350071,0.00009308503],"domain_scores_gemma":[0.9983309,0.00037840084,0.0005781748,0.00007109413,0.00026723088,0.0003742469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081587344,0.00025636988,0.00028289045,0.00085000426,0.0005957164,0.0016318416,0.00019525125,0.0004999204,0.0033626263],"category_scores_gemma":[0.0014959316,0.00012257975,0.00044684645,0.0008788552,0.00079897273,0.0014082929,0.001024403,0.000683013,0.00021076988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001258817,0.000066320885,0.9790925,0.00006709312,0.00011671881,0.00077302003,0.00051880267,0.001683637,0.00055157597,0.0058814627,0.00085876824,0.01026423],"study_design_scores_gemma":[0.000014325411,0.00007445926,0.99037,0.00007036959,0.00010980684,0.000094300536,0.0012688248,0.0016535838,0.0004884345,0.0019634417,0.003880146,0.000012287494],"about_ca_topic_score_codex":0.014970553,"about_ca_topic_score_gemma":0.019138493,"teacher_disagreement_score":0.014970553,"about_ca_system_score_codex":0.0008949238,"about_ca_system_score_gemma":0.0012839382,"threshold_uncertainty_score":0.029766798},"labels":[],"label_agreement":null},{"id":"W2597155431","doi":"10.5430/ijfr.v8n2p75","title":"Capital Structure Choice and Firm Value: New Empirical Evidence from Asymmetric Causality Test","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Economics; Econometrics; Causality (physics); Shock (circulatory); Value (mathematics); Enterprise value; Empirical evidence; Turkish; Granger causality; Monetary economics; Debt; Macroeconomics; Mathematics; Statistics; Accounting","score_opus":0.1554107289545869,"score_gpt":0.406723613484114,"score_spread":0.2513128845295271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597155431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985809,0.0009225188,0.006434881,0.0005526987,0.000022699933,0.000021519798,0.00050988,0.000018039067,0.005708763],"genre_scores_gemma":[0.99884295,0.00018745921,0.00035080907,0.00003571313,0.00003679755,0.0000055002924,0.0003380513,0.0000034795971,0.0001992589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970681,0.0011695405,0.00025658513,0.0005275928,0.00068121013,0.00029694702],"domain_scores_gemma":[0.8792408,0.086896785,0.025485383,0.0041244766,0.002337376,0.0019152932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004452937,0.00037719894,0.0008314414,0.0026390373,0.0004428899,0.001917867,0.00091366604,0.0009808227,0.005503785],"category_scores_gemma":[0.03753893,0.00021379783,0.00062080973,0.003076269,0.002030161,0.0029688948,0.00144138,0.00161072,0.00043822892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050037686,0.00028129455,0.9524795,0.00011480506,0.00038683796,0.00072764425,0.00036436066,0.0031244492,0.00040082406,0.015604542,0.0006144938,0.025400799],"study_design_scores_gemma":[0.00017817822,0.0005110554,0.8739928,0.00013551593,0.00049099984,0.0010372571,0.0013951027,0.03690859,0.0014686827,0.08015205,0.0036639746,0.0000658883],"about_ca_topic_score_codex":0.001098776,"about_ca_topic_score_gemma":0.0006938504,"teacher_disagreement_score":0.005503785,"about_ca_system_score_codex":0.00049131847,"about_ca_system_score_gemma":0.000525516,"threshold_uncertainty_score":0.023549676},"labels":[],"label_agreement":null},{"id":"W2604082023","doi":"10.5430/ijfr.v8n2p92","title":"Social Trust and Internal Control Quality - Evidence from China","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Quartile; Social trust; Control (management); China; Quality (philosophy); Social psychology; Psychology; Business; Social capital; Management; Political science; Statistics; Mathematics; Law; Economics; Computer science","score_opus":0.265187481571788,"score_gpt":0.45502285080576915,"score_spread":0.18983536923398114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604082023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927166,0.0015525905,0.0002260894,0.0007135939,0.0000141038345,0.000008883385,0.00018685429,0.0000034107757,0.0045780786],"genre_scores_gemma":[0.99926025,0.00040509092,0.000027526337,0.000029536408,0.0000073299093,0.0000015960989,0.00008249932,8.621088e-7,0.00018527277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857056,0.0003101661,0.00018422076,0.00018106827,0.00052006094,0.00023382176],"domain_scores_gemma":[0.98747987,0.0033028799,0.005628285,0.0009134493,0.0017933092,0.0008821701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026766937,0.00023333577,0.0003598145,0.0018722847,0.00061595306,0.0012148421,0.00033823506,0.0002803443,0.0026070855],"category_scores_gemma":[0.006266101,0.00012344471,0.0007049536,0.0026739303,0.0010280386,0.00059127033,0.0009447316,0.00049370545,0.00013347599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007424095,0.000058993144,0.9785855,0.00013238125,0.0002616598,0.0002482996,0.0011123501,0.0003617147,0.0000977343,0.0020441131,0.00041434783,0.016608708],"study_design_scores_gemma":[0.000008544673,0.000036017875,0.99666375,0.00007238556,0.0001405498,0.000046433575,0.00094071537,0.00057602505,0.00011166893,0.00030856137,0.0010874047,0.000007948425],"about_ca_topic_score_codex":0.059681118,"about_ca_topic_score_gemma":0.050459515,"teacher_disagreement_score":0.059681118,"about_ca_system_score_codex":0.0013595024,"about_ca_system_score_gemma":0.0018223061,"threshold_uncertainty_score":0.11866748},"labels":[],"label_agreement":null},{"id":"W2604420503","doi":"10.5430/ijfr.v8n2p163","title":"Financial Development and Life Insurance Demand in Sub-Sahara Africa","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cape verde; Life insurance; Developing country; Economics; Estimation; Development economics; Economic growth; Business; Geography; Finance; Actuarial science","score_opus":0.10080514759575754,"score_gpt":0.33053542647320217,"score_spread":0.22973027887744463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604420503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99927896,0.00010975851,0.000027659666,0.00005800765,9.696755e-7,0.0000018449671,0.00017277931,4.142837e-7,0.0003496041],"genre_scores_gemma":[0.9994697,0.00014790132,0.000023347264,0.0000113095475,0.0000023319035,0.0000033179244,0.00017282482,4.1969278e-7,0.00016880635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998056,0.000060098067,0.000011883467,0.00002013035,0.000023877996,0.00007844794],"domain_scores_gemma":[0.998572,0.00048501717,0.00061313267,0.000034284225,0.00008323916,0.00021225701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000288817,0.00021179629,0.0002726803,0.0009132387,0.00044168386,0.0009019623,0.00016546523,0.0002456143,0.0030052087],"category_scores_gemma":[0.0019342371,0.00018923901,0.00020690662,0.0015037754,0.0002470472,0.0006218935,0.0006023194,0.00039189344,0.0002290699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000647677,0.000056500397,0.9926917,0.000023000512,0.000049084647,0.00027954564,0.0012858125,0.0005791862,0.0002994063,0.0003747942,0.00019652574,0.004099616],"study_design_scores_gemma":[0.000007397972,0.000059283844,0.99129456,0.000033489912,0.000020479489,0.00020791474,0.0053595565,0.0013709731,0.0001559519,0.00019958997,0.0012833608,0.0000074613863],"about_ca_topic_score_codex":0.011994843,"about_ca_topic_score_gemma":0.014232223,"teacher_disagreement_score":0.011994843,"about_ca_system_score_codex":0.0004182166,"about_ca_system_score_gemma":0.00023826462,"threshold_uncertainty_score":0.023850024},"labels":[],"label_agreement":null},{"id":"W2604832920","doi":"10.5430/ijfr.v8n2p105","title":"Factors Influencing Equity Return Correlations between China’s Pairs of A- and B-Share Markets: Effect of QFII’s Implementation","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Volatility (finance); Diversification (marketing strategy); Economics; China; Monetary economics; Econometrics; Business; Financial economics","score_opus":0.09807117107575075,"score_gpt":0.41335909867354864,"score_spread":0.3152879275977979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604832920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99768317,0.000059338377,0.0002464358,0.00011928114,0.0000070364895,0.000018506284,0.000057705787,0.000012803045,0.0017958131],"genre_scores_gemma":[0.99922585,0.000026591753,0.00015935695,0.000023205266,0.000008443016,0.0000057540906,0.00008721088,0.0000018106394,0.00046172627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886346,0.00020479596,0.00011354064,0.00018917584,0.00028106963,0.00034795725],"domain_scores_gemma":[0.9952886,0.0010629175,0.0014555332,0.0003235473,0.0011041246,0.00076523377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023897954,0.00022394996,0.00024033082,0.00062199985,0.00041401017,0.0012537517,0.0004444062,0.00036481782,0.0018676512],"category_scores_gemma":[0.0065934686,0.00014656008,0.00034758614,0.00071010576,0.000704913,0.00085350795,0.00071267184,0.0005576193,0.00016208444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009435651,0.0001176632,0.97613984,0.000023369554,0.000057022382,0.00029120114,0.00029717828,0.0012116304,0.0023102516,0.0012288078,0.00053469755,0.017694065],"study_design_scores_gemma":[0.000011205926,0.00013868393,0.99476874,0.0000061567066,0.000023363466,0.00004750777,0.00032786423,0.0024625266,0.0010471484,0.00012958325,0.0010251573,0.0000119701845],"about_ca_topic_score_codex":0.0224378,"about_ca_topic_score_gemma":0.018715598,"teacher_disagreement_score":0.0224378,"about_ca_system_score_codex":0.0010896823,"about_ca_system_score_gemma":0.0020780752,"threshold_uncertainty_score":0.044614434},"labels":[],"label_agreement":null},{"id":"W2605010897","doi":"10.5430/ijfr.v8n2p124","title":"Fair Value Information, Audit fees and Audit Committee in Taiwan","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Accounting; Business; Audit committee; Fair value; Audit evidence; Joint audit; Internal audit; Actuarial science","score_opus":0.025139278605339443,"score_gpt":0.3154623611692263,"score_spread":0.2903230825638869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605010897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918157,0.000043198816,0.00002661851,0.00009898327,0.0000011050134,0.000002533998,0.000019531917,0.0000010770025,0.0006254277],"genre_scores_gemma":[0.999742,0.000017470935,0.000012076766,0.0000083336245,0.0000013483243,9.4399513e-7,0.000025448317,4.5773996e-7,0.00019201257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924517,0.00019220526,0.000104551225,0.00010052935,0.00016576574,0.00019168778],"domain_scores_gemma":[0.9853361,0.0035666479,0.008341652,0.00067705585,0.0009511229,0.0011274099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012541261,0.00012077718,0.0001732799,0.001118842,0.00038813456,0.0013600547,0.00024915102,0.00044222942,0.002207517],"category_scores_gemma":[0.008813595,0.00010116784,0.00021882256,0.0014956219,0.0005442182,0.0007933623,0.00065865036,0.00053072773,0.00016429008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069996415,0.00009434699,0.9923464,0.000011258549,0.000023384902,0.00028758062,0.0010807336,0.00039506625,0.00019220464,0.00054358796,0.00022057016,0.004734734],"study_design_scores_gemma":[0.000006540084,0.00007408148,0.9954372,0.000015761429,0.000016072265,0.000103616825,0.0015860753,0.0017528491,0.000112084694,0.00040192084,0.00048555105,0.000008274003],"about_ca_topic_score_codex":0.03934425,"about_ca_topic_score_gemma":0.030754527,"teacher_disagreement_score":0.03934425,"about_ca_system_score_codex":0.0012447817,"about_ca_system_score_gemma":0.0010174239,"threshold_uncertainty_score":0.0782305},"labels":[],"label_agreement":null},{"id":"W2605129551","doi":"10.5430/ijfr.v8n2p135","title":"Empirical Test on Impact of Monetary Policy and Fiscal Policy on Vietnam Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Economics; Monetary policy; Error correction model; Fiscal policy; Monetary economics; Stock market index; Stock (firearms); Index (typography); Vector autoregression; Macroeconomics; Financial economics; Econometrics; Cointegration","score_opus":0.17795936038025872,"score_gpt":0.42921127299304984,"score_spread":0.2512519126127911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605129551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937005,0.0004973427,0.00015875213,0.00088173716,0.000040087903,0.000015948544,0.0004897636,0.00000628193,0.004209561],"genre_scores_gemma":[0.9983046,0.00022986864,0.000055334083,0.000056017532,0.000029896482,0.0000064652036,0.00038492505,0.0000017146335,0.00093117496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993724,0.0001741851,0.00005050469,0.000101754675,0.0001357352,0.0001654441],"domain_scores_gemma":[0.9950846,0.0022931225,0.0013275107,0.00014063326,0.0005533144,0.0006009013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012313783,0.0002038526,0.00025296333,0.00048536534,0.00032113545,0.00082473987,0.00025561644,0.00034782267,0.0046318104],"category_scores_gemma":[0.0056872796,0.00013231814,0.00033334998,0.00050088676,0.00033116242,0.0007303826,0.00040620528,0.00078928436,0.00027403526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003118077,0.0003096448,0.9809568,0.00008124416,0.00020701617,0.0004523366,0.00032688386,0.0018537786,0.000397859,0.0024185295,0.0015081869,0.011175964],"study_design_scores_gemma":[0.000045699853,0.00042270153,0.9857201,0.000049983493,0.00014232767,0.00007345942,0.0017378072,0.00781533,0.0006327922,0.00070774264,0.002640085,0.000012108032],"about_ca_topic_score_codex":0.027004238,"about_ca_topic_score_gemma":0.0145834,"teacher_disagreement_score":0.027004238,"about_ca_system_score_codex":0.00076973403,"about_ca_system_score_gemma":0.0020553381,"threshold_uncertainty_score":0.05369413},"labels":[],"label_agreement":null},{"id":"W2605293422","doi":"10.5430/ijfr.v8n2p145","title":"Home Bias and the Real Estate Prices","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Chiao Tung University; Shanghai Educational Development Foundation","keywords":"Economics; Proxy (statistics); Real estate; Econometrics; Preference; Information asymmetry; Marginal utility; Microeconomics; Investment (military); Financial economics; Monetary economics; Finance; Statistics","score_opus":0.15119358414032705,"score_gpt":0.3647140047400172,"score_spread":0.21352042059969015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605293422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97744715,0.00038086623,0.012133074,0.00023462967,0.000013105325,0.000009967943,0.00006685166,0.000014936763,0.0096994685],"genre_scores_gemma":[0.99880266,0.000075323274,0.00033575986,0.000008601675,0.000006368504,0.0000016583919,0.000012188484,0.0000016092397,0.00075597607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997658,0.00006970961,0.000012730682,0.000045110693,0.00006961089,0.00003696132],"domain_scores_gemma":[0.9983164,0.0006537843,0.0006681283,0.00014504015,0.00012717301,0.000089501795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003427671,0.00017310255,0.00018169265,0.00027285088,0.00014667961,0.0010638002,0.00018406604,0.00033427318,0.0033945874],"category_scores_gemma":[0.003219297,0.00011580422,0.00027469813,0.0003412002,0.000523244,0.0012378544,0.00043870628,0.0004899047,0.00024695604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007125976,0.00061623973,0.5962759,0.00020165538,0.00041468366,0.0023758553,0.0014795841,0.04493512,0.015334565,0.23860289,0.0011357805,0.097915106],"study_design_scores_gemma":[0.00004214902,0.00031234685,0.6757637,0.000040470426,0.0001431671,0.0012149654,0.0013837903,0.082025714,0.006888011,0.22674271,0.0053720726,0.00007084833],"about_ca_topic_score_codex":0.0011574312,"about_ca_topic_score_gemma":0.0010647384,"teacher_disagreement_score":0.0033945874,"about_ca_system_score_codex":0.0005007185,"about_ca_system_score_gemma":0.0001966366,"threshold_uncertainty_score":0.011355996},"labels":[],"label_agreement":null},{"id":"W2605657164","doi":"10.5430/ijfr.v8n2p176","title":"School Governance, Accountability and Performance Management","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Management, Economics, and Public Policy","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accountability; Autonomy; Corporate governance; Transparency (behavior); Stakeholder; Business; Stakeholder engagement; Quality (philosophy); Public relations; Performance management; Process management; Political science; Marketing; Finance","score_opus":0.06318372038742832,"score_gpt":0.36148308807834645,"score_spread":0.29829936769091814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605657164","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16388182,0.02043543,0.03621283,0.09277345,0.0007195612,0.0002347554,0.00019436995,0.00016938362,0.6853784],"genre_scores_gemma":[0.9873978,0.002497274,0.001646085,0.0006487456,0.0001588083,0.000033236483,0.000023939638,0.000012743549,0.0075813443],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99355006,0.0040617753,0.00022802045,0.00046557776,0.0009485688,0.000746015],"domain_scores_gemma":[0.99250174,0.0027204063,0.0023697887,0.00042761402,0.0010454118,0.0009350148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052728713,0.0002292141,0.00020156208,0.0015839866,0.0019273307,0.008181682,0.00047709717,0.00127047,0.0034386562],"category_scores_gemma":[0.008149269,0.00012659874,0.00015431628,0.0020812636,0.008885979,0.0030488612,0.0021397085,0.0012964271,0.00032691323],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019552428,0.000062861676,0.012741137,0.00013962308,0.000022107977,0.00006601834,0.0048845564,0.002020821,0.00017511037,0.9134536,0.00614387,0.060270797],"study_design_scores_gemma":[0.00001846095,0.0001174358,0.047365893,0.0007014191,0.00003021635,0.00009419355,0.008897729,0.0026315763,0.0005811562,0.7873651,0.15214978,0.00004708373],"about_ca_topic_score_codex":0.008216056,"about_ca_topic_score_gemma":0.008861244,"teacher_disagreement_score":0.008216056,"about_ca_system_score_codex":0.0062696473,"about_ca_system_score_gemma":0.007896552,"threshold_uncertainty_score":0.04548967},"labels":[],"label_agreement":null},{"id":"W2606062276","doi":"10.5430/ijfr.v8n2p186","title":"The Effect of Corporate Profit Tax on Attracting Foreign Direct Investment in Albania","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Corporate tax; Profit (economics); Business; International economics; Developing country; Economics; Monetary economics; Double taxation; Macroeconomics; Finance; Tax avoidance; Economic growth","score_opus":0.14608783077158044,"score_gpt":0.36367625334549764,"score_spread":0.2175884225739172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606062276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99697125,0.00018845804,0.000038831553,0.0003508406,0.000006216456,0.000004559908,0.000040162515,0.0000049845644,0.0023947258],"genre_scores_gemma":[0.99912685,0.00011565824,0.00001909618,0.000015621548,0.0000070656756,0.0000015448056,0.00003374325,9.811661e-7,0.00067953276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995864,0.00011807739,0.000026316518,0.000039981827,0.0000740162,0.00015526576],"domain_scores_gemma":[0.9968188,0.001051783,0.0012765789,0.00009495178,0.00037266262,0.00038521286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004583356,0.00016127524,0.00024798975,0.0006693636,0.00035209642,0.0012882684,0.00020419165,0.0002485396,0.0028637145],"category_scores_gemma":[0.0038681268,0.00007297804,0.00025885575,0.000535354,0.00048077657,0.00045028492,0.00053489703,0.0005304986,0.00033068034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042689772,0.00029980086,0.9587698,0.000080659614,0.00013463483,0.001649796,0.00048666567,0.0070573986,0.0016499934,0.0037083277,0.0017880745,0.023948016],"study_design_scores_gemma":[0.00002218872,0.00011739959,0.9895642,0.0000325612,0.00007610701,0.00017946171,0.001347134,0.0059366706,0.00074613263,0.0005028824,0.0014657215,0.000009510623],"about_ca_topic_score_codex":0.041952547,"about_ca_topic_score_gemma":0.03320929,"teacher_disagreement_score":0.041952547,"about_ca_system_score_codex":0.0018018468,"about_ca_system_score_gemma":0.0012068679,"threshold_uncertainty_score":0.0834167},"labels":[],"label_agreement":null},{"id":"W2606777921","doi":"10.5430/ijfr.v8n2p194","title":"Foreign Currency Forecasts: A Combination Analysis","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mean squared error; Forecast error; Econometrics; Currency; Parametric statistics; Exchange rate; Parametric model; Foreign exchange; Statistics; Computer science; Mathematics; Economics; Finance; Macroeconomics","score_opus":0.27632414391730303,"score_gpt":0.39992605722272384,"score_spread":0.12360191330542081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606777921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75150794,0.0016672754,0.19637081,0.0011262221,0.00020713672,0.00017511981,0.0036749525,0.0019078627,0.04336271],"genre_scores_gemma":[0.975339,0.00032587996,0.019936861,0.00003491828,0.00011006009,0.00003687001,0.001709886,0.000081975566,0.0024245456],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827147,0.00050315214,0.00011041913,0.00028917167,0.0007005346,0.00012515683],"domain_scores_gemma":[0.9945686,0.0029463945,0.0004121082,0.0006032929,0.0013620306,0.00010756802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026704941,0.00064629933,0.0010265738,0.0031490342,0.0003383665,0.002081339,0.00069036876,0.0006968952,0.0050160545],"category_scores_gemma":[0.012520726,0.0004034156,0.001206473,0.0030098995,0.00021680104,0.0018330241,0.00095971435,0.00093319913,0.0011051275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016673435,0.00024968744,0.11769927,0.00015392806,0.0013842412,0.00068708236,0.0002382941,0.3614892,0.0026411389,0.008102475,0.009704892,0.4959824],"study_design_scores_gemma":[0.000041209554,0.00016445904,0.039287627,0.000020307736,0.0002343286,0.00021017567,0.000096807154,0.95144033,0.0009108139,0.005058022,0.002494318,0.000041622225],"about_ca_topic_score_codex":0.0034719573,"about_ca_topic_score_gemma":0.0031249197,"teacher_disagreement_score":0.0050160545,"about_ca_system_score_codex":0.00053547346,"about_ca_system_score_gemma":0.00041186748,"threshold_uncertainty_score":0.016780376},"labels":[],"label_agreement":null},{"id":"W2606884704","doi":"10.5430/ijfr.v8n2p182","title":"Empirical Study of Technological Factors Being Involved in Income Distribution --An Example of Gansu Province","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Northwest University for Nationalities; Northwest University","keywords":"Promotion (chess); Distribution (mathematics); Incentive; Human capital; Income distribution; Technological change; Economics; Work (physics); Phenomenon; Ignorance; Business; Economic system; Industrial organization; Economic growth; Microeconomics; Inequality; Macroeconomics","score_opus":0.21807579533446386,"score_gpt":0.3897938173048027,"score_spread":0.17171802197033886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606884704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983935,0.000047891463,0.00005938991,0.00006839291,0.0000015237753,0.0000062572212,0.00009487558,0.0000016265458,0.0013265704],"genre_scores_gemma":[0.99930024,0.000042299307,0.000079830104,0.00000872477,0.0000017251263,0.000003076608,0.00010916498,5.2308684e-7,0.00045437677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996735,0.00009803771,0.000016007574,0.000056642883,0.000057937872,0.00009795192],"domain_scores_gemma":[0.99917597,0.00032244317,0.00014316817,0.00006165332,0.00016682471,0.00012981026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006061601,0.00016866498,0.0002069368,0.0011749448,0.0007415847,0.00045194672,0.0003873328,0.00018371256,0.0012617896],"category_scores_gemma":[0.0010429736,0.00008565846,0.00025855258,0.0021370405,0.0005564197,0.00028176824,0.000454244,0.00035754792,0.00009594913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046432524,0.000087592154,0.984183,0.000030791958,0.000029139119,0.0009415652,0.0032818206,0.00040274792,0.00035803998,0.0015308689,0.00071446225,0.00839356],"study_design_scores_gemma":[0.0000037129776,0.000015896494,0.9932632,0.000010945942,0.00001054887,0.00006775713,0.004490478,0.0010143738,0.000094158524,0.00010388441,0.00092140684,0.0000037054215],"about_ca_topic_score_codex":0.16861662,"about_ca_topic_score_gemma":0.16374917,"teacher_disagreement_score":0.16861662,"about_ca_system_score_codex":0.0013729773,"about_ca_system_score_gemma":0.0010942474,"threshold_uncertainty_score":0.33527035},"labels":[],"label_agreement":null},{"id":"W2613759401","doi":"10.5430/ijfr.v8n3p51","title":"Entropy Risk Factor Model of Exchange Rate Prediction","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Predictability; Exchange rate; Econometrics; Portfolio; Entropy (arrow of time); Sample entropy; Foreign exchange market; Financial market; Attractiveness; Market risk; Computer science; Economics; Financial economics; Mathematics; Statistics; Finance; Time series; Machine learning","score_opus":0.14982058164301373,"score_gpt":0.3483285797686695,"score_spread":0.19850799812565575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613759401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63808024,0.0010053925,0.35206804,0.0014884855,0.00013868959,0.00006286772,0.00058033154,0.00032800285,0.006248018],"genre_scores_gemma":[0.99262285,0.00033834553,0.0036516306,0.00004190977,0.00005802846,0.000025727613,0.0002079455,0.000021531308,0.0030321174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946207,0.0001891378,0.000026422407,0.00014481026,0.00008469729,0.00009282274],"domain_scores_gemma":[0.9969222,0.0020265854,0.000526675,0.00012902974,0.00025266872,0.00014281529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019062172,0.0009187681,0.0009542556,0.0009115079,0.00034264263,0.0012284407,0.00087889074,0.0009620943,0.001883896],"category_scores_gemma":[0.0072330134,0.0003699067,0.0007844716,0.0005692542,0.0009034889,0.0015847982,0.0006376399,0.0010234885,0.00029391178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001319114,0.00004867711,0.012785004,0.00004061481,0.000113503556,0.0002838218,0.00012310289,0.93231946,0.00092629815,0.042922072,0.0009870704,0.009318509],"study_design_scores_gemma":[0.0000060529783,0.0000153803,0.0012534249,0.000003940574,0.000011590223,0.000018940656,0.0000057550033,0.99097085,0.00007195459,0.007552483,0.00008053138,0.000009073157],"about_ca_topic_score_codex":0.009632742,"about_ca_topic_score_gemma":0.003664532,"teacher_disagreement_score":0.009632742,"about_ca_system_score_codex":0.00061786897,"about_ca_system_score_gemma":0.00059752836,"threshold_uncertainty_score":0.019153357},"labels":[],"label_agreement":null},{"id":"W2624719428","doi":"10.5430/ijfr.v8n3p40","title":"Japan’s Yen Loan, Prerequisite to Mass FDI from Japan","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Portland State University","keywords":"Foreign direct investment; Loan; Business; China; Investment (military); Economic growth; International trade; Economics; Finance; Political science","score_opus":0.09966620631174093,"score_gpt":0.46242326740335454,"score_spread":0.3627570610916136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624719428","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38296536,0.0050190734,0.0036086184,0.025764093,0.0011647141,0.00051245664,0.0037321127,0.00029458935,0.576939],"genre_scores_gemma":[0.7462893,0.0035228562,0.0047139744,0.0062598367,0.00045457296,0.00054673594,0.0037760953,0.00011941008,0.23431726],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99893004,0.000112445596,0.000112405825,0.000113029186,0.0002483501,0.00048367624],"domain_scores_gemma":[0.9968664,0.00020413715,0.00045148097,0.0002504296,0.0011427575,0.0010848116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015305228,0.00036410222,0.00028739226,0.00060651806,0.0027529632,0.0033403658,0.000308598,0.0013135893,0.0154087385],"category_scores_gemma":[0.00376936,0.00024829234,0.00022963542,0.0006838376,0.0008530566,0.0025340915,0.0028220906,0.0017496888,0.002588665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013263784,0.00040513647,0.15504676,0.0022814302,0.00012579607,0.009135469,0.015523093,0.00084223156,0.013518161,0.27457243,0.3304396,0.19678356],"study_design_scores_gemma":[0.000063567146,0.0001755346,0.14623491,0.00029682418,0.000037569946,0.0010869747,0.005814923,0.000295123,0.0027559353,0.005176775,0.8380053,0.00005652873],"about_ca_topic_score_codex":0.031872116,"about_ca_topic_score_gemma":0.0402752,"teacher_disagreement_score":0.031872116,"about_ca_system_score_codex":0.0016485315,"about_ca_system_score_gemma":0.009961133,"threshold_uncertainty_score":0.06337321},"labels":[],"label_agreement":null},{"id":"W2624961527","doi":"10.5430/ijfr.v8n3p27","title":"A Robust Newcomb-Benford Account Screening Profiler: An Audit Decision Support System","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Benford’s Law and Fraud Detection","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State University of New York; American Philosophical Society","keywords":"Benford's law; Vetting; Warrant; Computer science; Audit; Triage; Decision support system; Download; Operations research; Computer security; Artificial intelligence; Psychology; Statistics; Business; Operating system; Accounting; Mathematics","score_opus":0.27892232564028174,"score_gpt":0.4584430661045032,"score_spread":0.17952074046422145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624961527","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05832669,0.00089087075,0.43870363,0.003982135,0.00038557802,0.0023192924,0.077312596,0.392462,0.025617303],"genre_scores_gemma":[0.42907798,0.00051735766,0.46235287,0.0015126813,0.0003771766,0.001317909,0.085692696,0.0029594514,0.01619187],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965172,0.0007039905,0.0005074432,0.00072169554,0.001355265,0.00019433658],"domain_scores_gemma":[0.98979414,0.0029348407,0.0015531245,0.00302175,0.0022458446,0.00045032398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045288964,0.00086099864,0.0009440172,0.003984192,0.0006213505,0.002673141,0.0020597235,0.0013182336,0.014195916],"category_scores_gemma":[0.025612416,0.00063427055,0.00045991575,0.0026737167,0.00038322,0.0038889463,0.0029587368,0.0013194901,0.011447193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013512565,0.0004121604,0.028688362,0.0005322761,0.000119330885,0.0006282803,0.00044736947,0.01185791,0.004770248,0.0127228405,0.36767325,0.57079667],"study_design_scores_gemma":[0.00047705488,0.00030607576,0.024588987,0.00030406218,0.00008207256,0.0009840704,0.00036112752,0.6356282,0.026482264,0.033520352,0.27695966,0.00030612916],"about_ca_topic_score_codex":0.00461275,"about_ca_topic_score_gemma":0.0043542963,"teacher_disagreement_score":0.014195916,"about_ca_system_score_codex":0.0011488725,"about_ca_system_score_gemma":0.0023492377,"threshold_uncertainty_score":0.04749006},"labels":[],"label_agreement":null},{"id":"W2663106618","doi":"10.5430/ijfr.v8n3p85","title":"Higher Education Expansion and Return to Education in China: Evidence from CGSS2005 and CGSS2013","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Higher education; Demographic economics; Internal rate of return; China; Gender disparity; Demography; Rate of return; Economics; Geography; Sociology; Economic growth; Finance","score_opus":0.10753596171545195,"score_gpt":0.5003920558994859,"score_spread":0.39285609418403394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2663106618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959144,0.0004895491,0.000049296294,0.00032417956,0.000009926916,0.000014469372,0.0019890666,0.000007299328,0.001201853],"genre_scores_gemma":[0.9961111,0.0003251078,0.000044939017,0.000107002525,0.000017284738,0.000014309395,0.0027840037,0.0000023314353,0.000593902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884653,0.0001475449,0.00013466082,0.00015379846,0.0002975056,0.00041991522],"domain_scores_gemma":[0.9937093,0.0006052171,0.0036950626,0.00034791508,0.0007555744,0.00088688603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020426053,0.00040990143,0.00037658997,0.0026620317,0.00065502926,0.0009072384,0.0006987978,0.0004931742,0.0021135532],"category_scores_gemma":[0.0038410765,0.00025905104,0.0008029898,0.0044883825,0.00071862846,0.00081029924,0.0012645219,0.0005980506,0.00025345368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042974076,0.000040438375,0.99523926,0.000030942294,0.000047397927,0.00006121014,0.0002880542,0.00012926059,0.00004860303,0.00018937956,0.0006639513,0.0032186129],"study_design_scores_gemma":[0.0000026918553,0.0000145447775,0.9990206,0.000009162889,0.000013514985,0.000010050641,0.000229204,0.00013476072,0.000031799995,0.000015186932,0.0005149679,0.0000035597889],"about_ca_topic_score_codex":0.22738083,"about_ca_topic_score_gemma":0.26380077,"teacher_disagreement_score":0.22738083,"about_ca_system_score_codex":0.0027617614,"about_ca_system_score_gemma":0.0035889768,"threshold_uncertainty_score":0.45211464},"labels":[],"label_agreement":null},{"id":"W2715089398","doi":"10.5430/ijfr.v8n3p57","title":"Effects of the Credit Boom on the Soundness of Vietnamese Commercial Banks","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asset quality; Boom; Financial system; Market liquidity; Business; Volatility (finance); Profitability index; Credit risk; Bank credit; Asset (computer security); Capital adequacy ratio; Finance; Monetary economics; Economics; Profit (economics); Engineering","score_opus":0.06898833293048294,"score_gpt":0.3484050510867234,"score_spread":0.2794167181562405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2715089398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941591,0.000270185,0.0000636672,0.0008055203,0.000009504925,0.0000151733075,0.00029863117,0.0000027417504,0.004375464],"genre_scores_gemma":[0.99942434,0.00008447259,0.000018759327,0.00003830134,0.0000049820314,0.0000025653053,0.00008243115,7.1546214e-7,0.00034351816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991974,0.0002588998,0.000065452754,0.00007648058,0.00017215601,0.00022968027],"domain_scores_gemma":[0.9908824,0.0020655058,0.0035559656,0.0001676026,0.0019893236,0.0013392891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011907473,0.00010139925,0.00015334526,0.00088448415,0.00049365865,0.0017742147,0.00019587556,0.00029908892,0.0029518115],"category_scores_gemma":[0.0062492997,0.000099340396,0.00016139662,0.0011018416,0.0009314084,0.0007477867,0.000832947,0.0007022587,0.00012465217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018714118,0.000064357395,0.9793457,0.00006697243,0.000047663805,0.0005423756,0.0025655318,0.001219817,0.0005729852,0.0027272361,0.00092913327,0.011731062],"study_design_scores_gemma":[0.000003960168,0.00004780304,0.99364144,0.00002815279,0.000008662341,0.000045580193,0.004065916,0.00040153073,0.00014737085,0.00028591865,0.0013169529,0.0000067253613],"about_ca_topic_score_codex":0.05164645,"about_ca_topic_score_gemma":0.06160842,"teacher_disagreement_score":0.05164645,"about_ca_system_score_codex":0.002430247,"about_ca_system_score_gemma":0.0018130125,"threshold_uncertainty_score":0.10269165},"labels":[],"label_agreement":null},{"id":"W2719779086","doi":"10.5430/ijfr.v8n3p74","title":"Economic Assessment of Technology Adoption in Oil Palm Plantations from Colombia","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Palm oil; Typology; Agricultural science; Net income; Agricultural economics; Net present value; Work (physics); Business; Agriculture; Production (economics); Economics; Environmental science; Geography; Engineering","score_opus":0.03480550723474075,"score_gpt":0.4192509025724946,"score_spread":0.38444539533775385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2719779086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675435,0.00017229283,0.00015575025,0.000027538683,0.0000013177586,0.000018343231,0.0007608611,0.0000032453588,0.0021063325],"genre_scores_gemma":[0.9982823,0.00016251508,0.00031623238,0.0000033156834,0.0000011763949,0.000011768893,0.0007283295,0.0000020131974,0.0004924847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998074,0.000038913546,0.000016140793,0.000027171707,0.00006484493,0.00004561858],"domain_scores_gemma":[0.99934334,0.00022740097,0.00017250724,0.000028577646,0.0001661673,0.000061968305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032262408,0.00027035,0.00016496962,0.0022078352,0.00034846173,0.0012375178,0.00022431262,0.00014589138,0.0014616123],"category_scores_gemma":[0.0011762035,0.00009224293,0.00031442265,0.0022616468,0.00020339788,0.0004118369,0.00034785896,0.00018241095,0.00010276428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034300503,0.00012434021,0.95072746,0.00025496777,0.00011824095,0.00093838334,0.0014155132,0.0047962824,0.0032221621,0.0008934242,0.0008096679,0.03635653],"study_design_scores_gemma":[0.000004128777,0.000037859998,0.9922127,0.000021861488,0.000022111506,0.00010504708,0.0030433391,0.0026212004,0.00039517373,0.000072750525,0.0014523343,0.000011344208],"about_ca_topic_score_codex":0.14823218,"about_ca_topic_score_gemma":0.23515771,"teacher_disagreement_score":0.14823218,"about_ca_system_score_codex":0.0039708097,"about_ca_system_score_gemma":0.0006037111,"threshold_uncertainty_score":0.2947387},"labels":[],"label_agreement":null},{"id":"W2734437764","doi":"10.5430/ijfr.v8n3p135","title":"Did the Introduction of Securities Margin Trading Decrease China’s A-Share Market Volatility?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Margin (machine learning); Business; Volatility (finance); Hybrid security; Investment banking; Monetary economics; China; Capital market; Third market; Private placement; Financial system; Financial economics; Economics; Finance","score_opus":0.04858179055434643,"score_gpt":0.3241641210974001,"score_spread":0.2755823305430537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734437764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99501723,0.00039520522,0.00018342749,0.0017335714,0.000055145247,0.000036638612,0.0002885238,0.000019192967,0.0022710036],"genre_scores_gemma":[0.99827933,0.00016550148,0.00016386186,0.00036106605,0.00003017529,0.00001744361,0.00014938926,0.0000022884988,0.0008309165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994499,0.00014529833,0.000037195998,0.00012410246,0.00010273768,0.0001407529],"domain_scores_gemma":[0.99817204,0.00046712998,0.0007311718,0.00014871794,0.0002447662,0.000236141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016042984,0.00019595961,0.00035340153,0.00024611971,0.00028613652,0.0007311169,0.00038744492,0.00059941073,0.002267456],"category_scores_gemma":[0.0031142076,0.00009838175,0.00046961597,0.0003315197,0.000711824,0.000657216,0.00035215414,0.0004479907,0.00014147136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001970216,0.0012243952,0.87427235,0.0005020645,0.00071646465,0.00057388685,0.001246448,0.0037600237,0.013295471,0.008659105,0.005016474,0.088763066],"study_design_scores_gemma":[0.00022931813,0.0011638635,0.9850087,0.000031987325,0.00026024156,0.000024921928,0.00052875624,0.0023504817,0.00413554,0.0010340885,0.005206463,0.000025610663],"about_ca_topic_score_codex":0.024782855,"about_ca_topic_score_gemma":0.034506958,"teacher_disagreement_score":0.024782855,"about_ca_system_score_codex":0.001213032,"about_ca_system_score_gemma":0.0026305665,"threshold_uncertainty_score":0.049277246},"labels":[],"label_agreement":null},{"id":"W2734534492","doi":"10.5430/ijfr.v8n3p162","title":"The Causal Relationship of Microfinance and Economic Development: Evidence from Transnational Data","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microfinance; Poverty; Causality (physics); Economics; Granger causality; Pairwise comparison; Economic inequality; Inequality; Econometrics; Development economics; Macroeconomics; Economic growth","score_opus":0.29844567215425283,"score_gpt":0.41296861738068047,"score_spread":0.11452294522642764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734534492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98104024,0.0017311771,0.0020705303,0.0015732504,0.00003994452,0.000026426074,0.007395755,0.000020187472,0.006102426],"genre_scores_gemma":[0.99240804,0.00094871625,0.0007905381,0.00016192079,0.000017265571,0.000024591169,0.005164238,0.0000104176615,0.00047430635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971795,0.0013277872,0.0003063618,0.00047817474,0.00042355855,0.0002846951],"domain_scores_gemma":[0.96222574,0.015311775,0.015175893,0.003158537,0.0031859763,0.00094213616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032863033,0.00027146167,0.00047738582,0.0020231805,0.00044491127,0.0013141168,0.0005500556,0.00037123763,0.00403297],"category_scores_gemma":[0.024553338,0.00020889245,0.0004695032,0.0075419857,0.0006880141,0.0015888475,0.0021163346,0.0010115476,0.0004516943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072792536,0.000056281206,0.98225385,0.000137906,0.00034012258,0.00015664412,0.00073856884,0.00051951356,0.0000745858,0.0017017209,0.0013110075,0.01263716],"study_design_scores_gemma":[0.000010003267,0.000047732927,0.98909944,0.000183242,0.00020459775,0.00013471532,0.0029800467,0.001600206,0.0002537436,0.0011008448,0.0043667504,0.0000186474],"about_ca_topic_score_codex":0.03773385,"about_ca_topic_score_gemma":0.051933005,"teacher_disagreement_score":0.03773385,"about_ca_system_score_codex":0.00053785206,"about_ca_system_score_gemma":0.00075721426,"threshold_uncertainty_score":0.07502842},"labels":[],"label_agreement":null},{"id":"W2735313566","doi":"10.5430/ijfr.v8n3p121","title":"Modelling the Impact of Liquidity Trend on the Financial Performance of Commercial Banks and Economic Growth in Cameroon","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Business; Financial system; Return on assets; Liquidity risk; Maturity (psychological); Economics; Finance; Monetary economics; Profitability index","score_opus":0.10784059263079349,"score_gpt":0.35844434729153296,"score_spread":0.2506037546607395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735313566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994806,0.0006843512,0.0018948045,0.00060344726,0.00002177115,0.000026827665,0.00058408437,0.000023629385,0.0013549682],"genre_scores_gemma":[0.9985171,0.00028908148,0.00031092603,0.000019731126,0.000008096441,0.000016298833,0.00023542874,0.0000034988736,0.00059983507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958104,0.00017450847,0.000020249621,0.000067510395,0.000018706025,0.00013798282],"domain_scores_gemma":[0.99813867,0.0011245392,0.0003758621,0.000040506555,0.00018898703,0.00013138638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011917788,0.0006979532,0.00033460028,0.0009008461,0.00035383203,0.0018906478,0.0005049666,0.00087834994,0.0027300424],"category_scores_gemma":[0.003561294,0.00032625656,0.0005955527,0.00096490193,0.0005015504,0.0008991799,0.00080485136,0.0008027695,0.00022091997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050714443,0.00021276843,0.4819739,0.00014573506,0.00017224303,0.0016257928,0.0004751272,0.4917089,0.001408443,0.006413245,0.001870095,0.013486644],"study_design_scores_gemma":[0.00005039777,0.00019777191,0.1251372,0.00009012899,0.00014591243,0.000116856485,0.000883675,0.8695325,0.0004204036,0.0021939774,0.0011904433,0.000040733994],"about_ca_topic_score_codex":0.12677021,"about_ca_topic_score_gemma":0.07857428,"teacher_disagreement_score":0.12677021,"about_ca_system_score_codex":0.0018957854,"about_ca_system_score_gemma":0.0017697024,"threshold_uncertainty_score":0.25206465},"labels":[],"label_agreement":null},{"id":"W2735650491","doi":"10.5430/ijfr.v8n3p105","title":"Company Size Effect in the Stock Market of Thailand","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Emerging markets; Stock exchange; Capitalization; Stock (firearms); Sri lanka; Business; Stock market; Financial economics; Monetary economics; Point (geometry); Economics; Finance; Mathematics; Geography","score_opus":0.08889499328997366,"score_gpt":0.3606993522592107,"score_spread":0.27180435896923705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735650491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578935,0.000318187,0.00007826675,0.00020758066,0.00001398943,0.0000053728245,0.00012190684,0.0000038304834,0.0034615556],"genre_scores_gemma":[0.9992762,0.00009268219,0.000017404554,0.000022680408,0.000017684148,0.0000013564539,0.00006868794,0.0000015291452,0.00050174136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936086,0.00015432252,0.000054427128,0.000102937425,0.00022835226,0.0000990421],"domain_scores_gemma":[0.9890414,0.0055500823,0.0033958857,0.00030974415,0.00070855283,0.0009943796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090917334,0.00012413727,0.00017751649,0.0007866421,0.00028464003,0.0011396816,0.00016443159,0.00025013738,0.0046855835],"category_scores_gemma":[0.005125611,0.00006815457,0.0003349817,0.00072294974,0.00047830184,0.00079417625,0.00050619716,0.0005058026,0.0003477086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006377131,0.00012389272,0.98369896,0.00006417522,0.00018956605,0.0016123669,0.0009519817,0.0005801269,0.0012705768,0.0007834657,0.000620406,0.009466723],"study_design_scores_gemma":[0.000007880482,0.0001469575,0.99688643,0.000009456109,0.00006325901,0.00025581373,0.0008186816,0.0007562616,0.00037652676,0.00015924424,0.0005113419,0.000008165229],"about_ca_topic_score_codex":0.0059022214,"about_ca_topic_score_gemma":0.005559217,"teacher_disagreement_score":0.0059022214,"about_ca_system_score_codex":0.00028273434,"about_ca_system_score_gemma":0.00041216682,"threshold_uncertainty_score":0.01567483},"labels":[],"label_agreement":null},{"id":"W2735825818","doi":"10.5430/ijfr.v8n3p111","title":"Foreign Currency Prognostication: Diverse Tests for Germany","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Currency; Mean squared error; Parametric statistics; Forecast error; Econometrics; Exchange rate; Variety (cybernetics); Statistics; Foreign exchange; Parametric model; Mean squared prediction error; Computer science; Mathematics; Economics; Macroeconomics","score_opus":0.3703724480797946,"score_gpt":0.43138808039098625,"score_spread":0.06101563231119167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735825818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906437,0.0003583559,0.0055401903,0.0006646741,0.00005262723,0.000012739046,0.0004711142,0.0001573597,0.0020992714],"genre_scores_gemma":[0.9989422,0.00005316154,0.000444204,0.000019662119,0.0000098881865,0.0000021322776,0.00037516118,0.0000069325833,0.0001466175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997903,0.0012039297,0.00014934991,0.0003009623,0.00021121553,0.0002316161],"domain_scores_gemma":[0.9831709,0.013276268,0.0012772399,0.0011400266,0.00049495965,0.0006405322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010556519,0.0008162304,0.0006466977,0.0013772065,0.00046465153,0.0013119008,0.00077879295,0.0009932962,0.0029260432],"category_scores_gemma":[0.030662986,0.0001847333,0.0010709531,0.0011359233,0.0007687503,0.0021260616,0.0016888671,0.00097038224,0.0004548788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006333132,0.00050275854,0.58105314,0.0001885082,0.001074092,0.00063622615,0.0003846631,0.28335622,0.0014230561,0.008968904,0.0042555816,0.111823834],"study_design_scores_gemma":[0.00030545567,0.0014705745,0.20139137,0.00010167722,0.00033543806,0.00021471332,0.0008232729,0.7812335,0.0035791865,0.009210232,0.001242102,0.0000924863],"about_ca_topic_score_codex":0.005871425,"about_ca_topic_score_gemma":0.0036671427,"teacher_disagreement_score":0.010556519,"about_ca_system_score_codex":0.0006580835,"about_ca_system_score_gemma":0.0009317376,"threshold_uncertainty_score":0.05582887},"labels":[],"label_agreement":null},{"id":"W2736245285","doi":"10.5430/ijfr.v8n3p154","title":"Equity Return Modeling and Prediction Using Hybrid ARIMA-GARCH Model","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Autoregressive conditional heteroskedasticity; Akaike information criterion; Econometrics; Heteroscedasticity; Autoregressive model; Volatility clustering; Volatility (finance); Univariate; Time series; Computer science; Economics; Mathematics; Statistics","score_opus":0.3266219988536908,"score_gpt":0.4314647461251441,"score_spread":0.10484274727145332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736245285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11769267,0.0011613211,0.8759448,0.0003292902,0.00009635859,0.000051682506,0.00043585332,0.0013079453,0.0029800527],"genre_scores_gemma":[0.9116968,0.0007378196,0.08302835,0.0000969557,0.000102677586,0.00008283299,0.0006526946,0.00007059256,0.00353116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999453,0.00014546182,0.0000357905,0.00014545933,0.00015591868,0.000064326756],"domain_scores_gemma":[0.99948126,0.0002798362,0.00007342058,0.000046018347,0.00010399601,0.0000155368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011551006,0.00068605476,0.00087465177,0.0008498844,0.00030077345,0.0010051013,0.0014919363,0.0010066523,0.001121552],"category_scores_gemma":[0.0020916336,0.00034185938,0.0010564468,0.00097458734,0.00022891317,0.0012926888,0.0004343491,0.00097219466,0.00037980976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064879896,0.0000642037,0.0063068075,0.000047865266,0.00013764709,0.00015414155,0.000055779965,0.9317579,0.002292923,0.009787005,0.00087726174,0.048453584],"study_design_scores_gemma":[0.0000025026072,0.000011499681,0.0005098264,0.0000017502666,0.000009165538,0.0000142159015,0.000002993327,0.9974585,0.00021428095,0.0015612221,0.00020684104,0.000007122081],"about_ca_topic_score_codex":0.010469397,"about_ca_topic_score_gemma":0.0056417882,"teacher_disagreement_score":0.010469397,"about_ca_system_score_codex":0.00038667265,"about_ca_system_score_gemma":0.00053436094,"threshold_uncertainty_score":0.020816922},"labels":[],"label_agreement":null},{"id":"W2737028513","doi":"10.5430/ijfr.v8n3p172","title":"Technical Efficiency of Manufacturing Firms in Cameroon: Sources and Determinants","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Industrial organization; Production–possibility frontier; Sample (material); Production (economics); Frontier; Variable (mathematics); Business; Econometrics; Clothing; Economics; Microeconomics","score_opus":0.08715719195744481,"score_gpt":0.36827898274738335,"score_spread":0.28112179078993854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737028513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958591,0.0007455189,0.0007349648,0.00024052865,0.0000036438014,0.00002079238,0.0012045866,0.0000078496905,0.0011830167],"genre_scores_gemma":[0.9982943,0.00035941927,0.00021078231,0.000014183134,0.0000070537576,0.0000073723786,0.00071152876,0.0000024196563,0.00039301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902976,0.00021546526,0.00007693429,0.00013777894,0.00019701506,0.00034310805],"domain_scores_gemma":[0.990466,0.0036037606,0.0043983334,0.00025414533,0.0008481887,0.0004295512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012930429,0.00040508824,0.00037412255,0.003671197,0.0005091698,0.0017225738,0.00036370484,0.00036330114,0.0025961106],"category_scores_gemma":[0.004923893,0.0003247546,0.00038088957,0.0071192537,0.00048380528,0.0008898477,0.0008169813,0.00055889663,0.00028099804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057033045,0.000053016705,0.9819016,0.000069118076,0.000052337215,0.0006139483,0.0002642345,0.005514748,0.00035332557,0.0014677601,0.00041286953,0.009240117],"study_design_scores_gemma":[0.0000035065905,0.000027755676,0.9924745,0.000033501197,0.000022692531,0.00021464142,0.0006277718,0.004686972,0.00033378898,0.00035546682,0.0012093274,0.000010029802],"about_ca_topic_score_codex":0.048689652,"about_ca_topic_score_gemma":0.037478782,"teacher_disagreement_score":0.048689652,"about_ca_system_score_codex":0.0028103723,"about_ca_system_score_gemma":0.0011079874,"threshold_uncertainty_score":0.09681249},"labels":[],"label_agreement":null},{"id":"W2738956336","doi":"10.5430/ijfr.v8n3p195","title":"Full – Perspective Analysis of Medium Income Trap","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Middle income trap; Economics; Vulnerability (computing); China; Middle income; Trap (plumbing); Production (economics); Economic shortage; Demographic economics; Macroeconomics; Geography","score_opus":0.10657869258339435,"score_gpt":0.38384913789911324,"score_spread":0.27727044531571887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738956336","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14250489,0.0028387995,0.04934781,0.013068233,0.00021604987,0.00008665528,0.0009395247,0.00009571122,0.7909024],"genre_scores_gemma":[0.9629069,0.0013964036,0.0053049116,0.00065493584,0.00006588156,0.000046140663,0.00021781458,0.000030904313,0.029376032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997904,0.000058713227,0.000004519894,0.000026032478,0.000051443392,0.00006892492],"domain_scores_gemma":[0.99984527,0.000025132158,0.00001993302,0.000012942752,0.000052881885,0.000043751203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036414005,0.000364975,0.00023140626,0.0009938177,0.001981603,0.0023955705,0.00044759866,0.00065821677,0.01590893],"category_scores_gemma":[0.0005121127,0.00011169611,0.00046437923,0.0008682313,0.0012999343,0.0028112798,0.001950785,0.0015824557,0.0009741686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013859089,0.000012750921,0.0012904695,0.000024532192,0.0000061241,0.0005448091,0.0010553465,0.0007095373,0.00014796597,0.98741513,0.0037876905,0.004991833],"study_design_scores_gemma":[0.00001916056,0.00004351532,0.0069171134,0.00015802398,0.000030042367,0.0010637332,0.008698638,0.014391981,0.00039971928,0.84011847,0.12812875,0.000030896794],"about_ca_topic_score_codex":0.009504414,"about_ca_topic_score_gemma":0.01024617,"teacher_disagreement_score":0.01590893,"about_ca_system_score_codex":0.0022595162,"about_ca_system_score_gemma":0.0015078865,"threshold_uncertainty_score":0.05322069},"labels":[],"label_agreement":null},{"id":"W2739150560","doi":"10.5430/ijfr.v8n3p187","title":"Classification Shifting in the Income-Decreasing Discretionary Accrual Firms","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Operating expense; Earnings before interest and taxes; Business; Accounting; Econometrics; Economics","score_opus":0.06423123573348503,"score_gpt":0.36647784281354534,"score_spread":0.3022466070800603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739150560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967229,0.00006729508,0.00040384982,0.00009280303,0.000004342173,0.000010147962,0.000026655232,0.0000060093103,0.0026660317],"genre_scores_gemma":[0.9993654,0.000023201912,0.00024929162,0.000023394103,0.000006998134,0.0000036879928,0.000046881312,0.0000013815486,0.0002797555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998209,0.0004628595,0.0001808102,0.00027111988,0.0005722042,0.0003040345],"domain_scores_gemma":[0.97223973,0.0072833565,0.015163859,0.0023133494,0.0017989093,0.0012007708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025499384,0.0001782069,0.00029417864,0.0016225575,0.00045574727,0.0014756093,0.00044445897,0.00032140376,0.0030202044],"category_scores_gemma":[0.017249323,0.00010399712,0.00023856151,0.0012725615,0.0008697457,0.0013292157,0.0010288826,0.0006524455,0.00045909145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003047589,0.0001804874,0.9489909,0.00002562523,0.00004193423,0.00012153285,0.0017910325,0.0006227156,0.0021389152,0.0029957902,0.00031611492,0.04247016],"study_design_scores_gemma":[0.00000988789,0.00010821053,0.99249506,0.00001659907,0.000015198962,0.00010380952,0.0014694572,0.0013442793,0.000669156,0.0028134782,0.00094294694,0.000011888802],"about_ca_topic_score_codex":0.0018867205,"about_ca_topic_score_gemma":0.0020182703,"teacher_disagreement_score":0.0030202044,"about_ca_system_score_codex":0.0010145593,"about_ca_system_score_gemma":0.0004307472,"threshold_uncertainty_score":0.013485491},"labels":[],"label_agreement":null},{"id":"W2754655328","doi":"10.5430/ijfr.v8n4p90","title":"Financial Development and Poverty Reduction: Evidence from Selected African Countries","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Poverty; Poverty reduction; Economics; Development economics; Causality (physics); Financial deepening; Developing country; Economic growth; Financial system; Financial intermediary","score_opus":0.12704524476293202,"score_gpt":0.3450641256450481,"score_spread":0.2180188808821161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754655328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97851974,0.015590404,0.00012612184,0.0010419778,0.000020240708,0.000014386152,0.0010202223,0.0000027628496,0.003664168],"genre_scores_gemma":[0.9920661,0.0073960056,0.00005820086,0.00007314805,0.000012140836,0.0000063319844,0.00027724035,0.0000011405351,0.00010975744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994992,0.00021098681,0.000041646923,0.00004035592,0.00005788094,0.00014979336],"domain_scores_gemma":[0.9958221,0.0013450424,0.0020845612,0.0001076888,0.00038596595,0.00025464973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013659215,0.00025691334,0.00032321177,0.0023161154,0.00057307724,0.0008270032,0.00017204876,0.00026029858,0.0013684917],"category_scores_gemma":[0.0041104252,0.00017204089,0.00035277105,0.004417745,0.0006809102,0.0006274466,0.00097082846,0.00042779554,0.00009877383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029820143,0.000080401325,0.95930195,0.0008348961,0.00044097548,0.0008941535,0.0019813706,0.0008484176,0.00013276712,0.001682019,0.0015078003,0.03199706],"study_design_scores_gemma":[0.000021928485,0.00006980272,0.9887693,0.0006328514,0.00018235708,0.00028751136,0.0040467144,0.00023097824,0.00022009957,0.00028708667,0.005241567,0.000009789963],"about_ca_topic_score_codex":0.017489964,"about_ca_topic_score_gemma":0.020726431,"teacher_disagreement_score":0.017489964,"about_ca_system_score_codex":0.0004153621,"about_ca_system_score_gemma":0.00075909344,"threshold_uncertainty_score":0.03477633},"labels":[],"label_agreement":null},{"id":"W2754802410","doi":"10.5430/ijfr.v8n4p23","title":"Bank Lending and Interest- Rate Derivatives","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Interest rate; Intermediation; Loan; Collateralized debt obligation; Interest rate derivative; Business; Interest rate risk; Portfolio; Robustness (evolution); Derivative (finance); Net interest income; Financial intermediary; Economics; Actuarial science; Finance; Collateral","score_opus":0.1539969612259608,"score_gpt":0.38981767564279735,"score_spread":0.23582071441683655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754802410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99262834,0.0006901628,0.00067145174,0.0002725164,0.0000080035015,0.000012084016,0.0016223337,0.00003751139,0.0040574325],"genre_scores_gemma":[0.9967721,0.00033379285,0.00017433368,0.000023460449,0.000016858166,0.000009794591,0.0016780928,0.000009550953,0.0009820197],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985158,0.000421629,0.00020793293,0.00026333236,0.00041336473,0.00017790572],"domain_scores_gemma":[0.947004,0.023937376,0.022133768,0.0030659775,0.0022484392,0.0016103962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022115998,0.0002133124,0.00047848697,0.0019089973,0.00041533975,0.0023067982,0.0004600135,0.0006389865,0.0033028084],"category_scores_gemma":[0.024636943,0.0002239978,0.00034488656,0.0040139765,0.00081826025,0.0012573327,0.00086642796,0.001188614,0.00091637956],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000298464,0.000098204706,0.97724324,0.000040107003,0.00009428882,0.00016020848,0.00031438633,0.003966854,0.00028717154,0.001563501,0.0012554459,0.014678105],"study_design_scores_gemma":[0.000026489975,0.00008044193,0.9809238,0.000049330145,0.000079970145,0.00038548457,0.00043212532,0.008031696,0.0010138268,0.0034598457,0.0054853186,0.000031826556],"about_ca_topic_score_codex":0.008952691,"about_ca_topic_score_gemma":0.007089017,"teacher_disagreement_score":0.008952691,"about_ca_system_score_codex":0.00084226026,"about_ca_system_score_gemma":0.0006757411,"threshold_uncertainty_score":0.017801106},"labels":[],"label_agreement":null},{"id":"W2754878122","doi":"10.5430/ijfr.v8n4p38","title":"A Comparative Analysis of Four-Factor Model and Three-Factor Model in the Nigerian Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics; Explanatory power; Financial economics; Portfolio; Market portfolio; Market liquidity; Stock market; Stock exchange; Factor analysis; Equity (law); Stock (firearms); Capital asset pricing model; Monetary economics; Finance","score_opus":0.255616169706513,"score_gpt":0.39114975497442317,"score_spread":0.13553358526791015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754878122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9241184,0.0030897737,0.058306966,0.0016123188,0.00014304616,0.000198819,0.00033304398,0.00014679915,0.012050873],"genre_scores_gemma":[0.9898769,0.0010247754,0.006407205,0.00006498491,0.000053542317,0.000055132357,0.00029900268,0.000027454558,0.0021909527],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987431,0.00067987613,0.00006396382,0.00019309082,0.0001658301,0.00015418639],"domain_scores_gemma":[0.994776,0.0038773755,0.00046362006,0.00018383445,0.0005189555,0.00018014266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036026991,0.0009150857,0.00087753136,0.0020590492,0.00084013294,0.0025726454,0.00065881835,0.0007789306,0.0053837937],"category_scores_gemma":[0.008716616,0.00038530838,0.0019956583,0.0012877518,0.00063848024,0.0020693669,0.00066254305,0.00090963166,0.0005773005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013049706,0.00081258,0.54121065,0.00064473884,0.0015579915,0.0040248283,0.00351375,0.1918703,0.0019781948,0.10172349,0.006649564,0.144709],"study_design_scores_gemma":[0.00011121307,0.00039846706,0.14617097,0.00023437732,0.0004761092,0.00057521573,0.0016157605,0.7990183,0.00031359532,0.04696465,0.0040098364,0.00011161886],"about_ca_topic_score_codex":0.021043653,"about_ca_topic_score_gemma":0.009675309,"teacher_disagreement_score":0.021043653,"about_ca_system_score_codex":0.0012416259,"about_ca_system_score_gemma":0.0015091246,"threshold_uncertainty_score":0.04184234},"labels":[],"label_agreement":null},{"id":"W2754887556","doi":"10.5430/ijfr.v8n4p1","title":"Do Small Indonesian Companies Have a Better Performance in the Stock Market than Larger Ones?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Capitalization; Wilcoxon signed-rank test; Stock (firearms); Econometrics; Financial economics; Economics; Stock market index; Indonesian; Stock market; Monetary economics; Business; Geography","score_opus":0.08352239133498693,"score_gpt":0.3244333115896315,"score_spread":0.24091092025464458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754887556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99148375,0.0006005227,0.000118819735,0.00079222297,0.000035161316,0.000009651664,0.00025710062,0.0000043919026,0.0066984333],"genre_scores_gemma":[0.99889237,0.0001825347,0.000057814916,0.00007971849,0.000030180288,0.0000025608927,0.00012183135,0.0000019986676,0.0006310147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996753,0.00004254794,0.000037780792,0.000061132116,0.000105490006,0.00007784698],"domain_scores_gemma":[0.9963282,0.0006111176,0.0020524296,0.00016921526,0.00035699652,0.00048204415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092234847,0.00019782587,0.00034374278,0.0007165027,0.00030396404,0.0013507252,0.0002714738,0.000414569,0.004946995],"category_scores_gemma":[0.0032783647,0.000085481144,0.0002737201,0.00079016713,0.0005824962,0.0015745731,0.00031208427,0.00042216806,0.0012216961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010433679,0.000088981134,0.98035836,0.00003706909,0.00006624135,0.00024911147,0.00035106402,0.00008766579,0.0004738727,0.00036932726,0.00063897576,0.017175002],"study_design_scores_gemma":[0.0000036468093,0.00006953026,0.99741805,0.0000130488825,0.000021076497,0.00020673148,0.0008286623,0.00017214353,0.00020219982,0.0002503859,0.0008097277,0.0000048829734],"about_ca_topic_score_codex":0.0030755189,"about_ca_topic_score_gemma":0.0050243884,"teacher_disagreement_score":0.004946995,"about_ca_system_score_codex":0.00035150495,"about_ca_system_score_gemma":0.0002965457,"threshold_uncertainty_score":0.016549408},"labels":[],"label_agreement":null},{"id":"W2754947025","doi":"10.5430/ijfr.v8n4p71","title":"Beyond Banks’ Capitalization: What Affects the Credit Lines?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fondazione Roma","keywords":"Profitability index; Capitalization; Business; Sample (material); Payment; Panel data; Finance; Monetary economics; Financial system; Economics; Econometrics","score_opus":0.06491260460871644,"score_gpt":0.35255084487374216,"score_spread":0.2876382402650257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754947025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751369,0.0012997192,0.0022632263,0.00426128,0.000028677414,0.000054481396,0.00064780307,0.00006879623,0.016239133],"genre_scores_gemma":[0.9988549,0.00013107916,0.00010042398,0.00010234033,0.000034723213,0.0000053940385,0.00011320989,0.0000035019968,0.0006544786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966685,0.0012420801,0.00023326401,0.0005420365,0.00065937825,0.00065473875],"domain_scores_gemma":[0.919388,0.032743573,0.037655097,0.0031278508,0.002679087,0.0044064233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024911086,0.00022530482,0.00049862213,0.00083045126,0.00043837787,0.0039927317,0.00059633615,0.0011204653,0.009257192],"category_scores_gemma":[0.03221919,0.00016061534,0.00030025002,0.0016456578,0.0013695804,0.002332641,0.0012520833,0.001381556,0.00095683115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041955875,0.0005183555,0.9287035,0.00012254606,0.00026785387,0.00039956803,0.0013573514,0.004209539,0.0012399928,0.00889718,0.0032178538,0.050646823],"study_design_scores_gemma":[0.000038823993,0.00024750663,0.982363,0.00008116718,0.00012333451,0.00017050837,0.0012029385,0.002454563,0.0009280875,0.0063843606,0.0059746164,0.00003104223],"about_ca_topic_score_codex":0.005517421,"about_ca_topic_score_gemma":0.0041658664,"teacher_disagreement_score":0.009257192,"about_ca_system_score_codex":0.0011084799,"about_ca_system_score_gemma":0.0011407884,"threshold_uncertainty_score":0.030968428},"labels":[],"label_agreement":null},{"id":"W2755040540","doi":"10.5430/ijfr.v8n4p64","title":"Impact of Corporate Disclosure on Cost of Equity Capital in Vietnam","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Foundation for Science and Technology Development","keywords":"Residual income valuation; Cost of capital; Cost of equity; Equity capital markets; Equity (law); Valuation (finance); Business; Equity risk; Return on capital; Economics; Monetary economics; Accounting; Capital formation; Financial capital; Microeconomics","score_opus":0.28014356464458645,"score_gpt":0.5048566768443843,"score_spread":0.22471311219979784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755040540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984497,0.000125204,0.000031612275,0.0001693364,0.0000041464614,0.0000029879204,0.00006772464,0.0000012325713,0.0011479558],"genre_scores_gemma":[0.99962676,0.000057672267,0.000012660052,0.000011465076,0.000002803316,8.7769706e-7,0.00004648336,6.0976305e-7,0.0002405623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920017,0.00033995663,0.0000408254,0.00005967201,0.00016488277,0.00019449202],"domain_scores_gemma":[0.98959607,0.005218366,0.0035133157,0.00028953995,0.00076552347,0.0006171894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007795235,0.00012257659,0.00015189782,0.00031902958,0.00023286395,0.0009802277,0.00022514956,0.00025166912,0.002371648],"category_scores_gemma":[0.0066769593,0.000067821326,0.00018383979,0.00046085095,0.00038698828,0.0006150541,0.000373843,0.00062396936,0.000086795124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084859633,0.0007297175,0.95273924,0.0000938702,0.00011448372,0.0016235156,0.0013319696,0.010527191,0.0014213916,0.0045498437,0.0010802163,0.024939837],"study_design_scores_gemma":[0.00003384268,0.00046064003,0.9833519,0.000037742037,0.000064655425,0.00045828617,0.0024841423,0.009018916,0.0018404055,0.0009112562,0.0013200529,0.00001820993],"about_ca_topic_score_codex":0.027880438,"about_ca_topic_score_gemma":0.017484073,"teacher_disagreement_score":0.027880438,"about_ca_system_score_codex":0.001625932,"about_ca_system_score_gemma":0.000922613,"threshold_uncertainty_score":0.055436313},"labels":[],"label_agreement":null},{"id":"W2755413923","doi":"10.5430/ijfr.v8n4p99","title":"Are Analysts Overoptimistic about the Prospects of Sin Firms?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Stock (firearms); Stock price; Optimism; Econometrics; Economics; Value (mathematics); Measure (data warehouse); Financial economics; Accounting; Statistics; Series (stratigraphy); Mathematics; Computer science; Psychology","score_opus":0.05079675256131026,"score_gpt":0.35098001002087054,"score_spread":0.30018325745956026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755413923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996439,0.00023091861,0.00023458792,0.0008541753,0.0000133641925,0.0000056023096,0.000070561255,0.000004111853,0.0021476862],"genre_scores_gemma":[0.9995252,0.00014236128,0.00006269242,0.00007591088,0.00003293881,0.0000018525349,0.00004987695,0.0000011236772,0.00010809895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983808,0.00045372883,0.00019457936,0.00016360912,0.00052658824,0.00028069736],"domain_scores_gemma":[0.8799172,0.03775464,0.07225795,0.0028487775,0.0038393028,0.0033821005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004561071,0.00019469726,0.0003183505,0.0015292823,0.0004679909,0.001688248,0.00032860434,0.0006974264,0.0024064425],"category_scores_gemma":[0.05012962,0.0001963977,0.00022813788,0.0011662013,0.00080198963,0.0017536944,0.0007534867,0.0010043082,0.00034980674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013919867,0.000046599398,0.9886568,0.000019869329,0.00006216687,0.00011271468,0.001223157,0.0002682802,0.00021235953,0.00038798648,0.00034979224,0.008521111],"study_design_scores_gemma":[0.000010721254,0.000082868246,0.9904469,0.000043214277,0.00004236478,0.00028350818,0.004597018,0.0011291658,0.00031406916,0.0023215797,0.00071063614,0.000017795333],"about_ca_topic_score_codex":0.003932636,"about_ca_topic_score_gemma":0.0061326087,"teacher_disagreement_score":0.004561071,"about_ca_system_score_codex":0.00046350382,"about_ca_system_score_gemma":0.0005928808,"threshold_uncertainty_score":0.024121523},"labels":[],"label_agreement":null},{"id":"W2755687765","doi":"10.5430/ijfr.v8n4p80","title":"Mixed Ownership Structures and Firm Performance in China Listed Firms","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Shareholder; China; State ownership; Compensation (psychology); Executive compensation; Principal–agent problem; Order (exchange); Accounting; Government (linguistics); Agency (philosophy); Industrial organization; Market economy; Emerging markets; Finance; Corporate governance; Economics","score_opus":0.08208341566704341,"score_gpt":0.33266082682098114,"score_spread":0.2505774111539377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755687765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940944,0.00006316252,0.000015878868,0.00006661654,0.0000012819836,0.0000017671123,0.000057702146,0.0000010840799,0.00038301462],"genre_scores_gemma":[0.9997702,0.000015603473,0.0000061529545,0.0000060340953,0.0000020463672,7.0151737e-7,0.00005495818,2.9808376e-7,0.00014396811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994523,0.00007980525,0.00006574788,0.00008037121,0.00014920664,0.00017253772],"domain_scores_gemma":[0.9952726,0.00051794463,0.002565455,0.00021437876,0.0005368943,0.0008927671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097172795,0.00018415786,0.00017677245,0.0014376774,0.0005631045,0.001065299,0.0003203386,0.0003131647,0.0020055787],"category_scores_gemma":[0.002485703,0.00011624743,0.00022182697,0.001473033,0.00064094097,0.0006657036,0.00082698744,0.00028972214,0.00015630081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025570585,0.000027549326,0.99785393,0.0000031369752,0.000021933194,0.0000671586,0.00021880369,0.000113022696,0.00010277387,0.0001586443,0.00007337216,0.0013341099],"study_design_scores_gemma":[0.0000017789824,0.000020724787,0.99897873,0.0000032859712,0.000006399974,0.000017466124,0.0003252583,0.00043059673,0.00003536251,0.000071937735,0.000105693936,0.0000027536605],"about_ca_topic_score_codex":0.044555712,"about_ca_topic_score_gemma":0.061341908,"teacher_disagreement_score":0.044555712,"about_ca_system_score_codex":0.0015527384,"about_ca_system_score_gemma":0.001089862,"threshold_uncertainty_score":0.08859277},"labels":[],"label_agreement":null},{"id":"W2755710577","doi":"10.5430/ijfr.v8n4p53","title":"A Proposed Courses Structure for the Preparatory College Year","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lagging; Mathematics education; Curriculum; Set (abstract data type); Process (computing); Simple (philosophy); Psychology; Medical education; Pedagogy; Computer science; Mathematics; Medicine","score_opus":0.10569914360704756,"score_gpt":0.49242124186215946,"score_spread":0.3867220982551119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755710577","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19558223,0.0010341915,0.13627662,0.014911899,0.006520748,0.029733682,0.020240294,0.011677764,0.5840225],"genre_scores_gemma":[0.16305687,0.0010213007,0.341386,0.0023728667,0.00097135856,0.008800654,0.016199417,0.0007422907,0.4654494],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99948525,0.00006433669,0.000035257766,0.00008506921,0.00014499022,0.000185078],"domain_scores_gemma":[0.9964334,0.00015895646,0.00019855409,0.00015225731,0.0009728641,0.00208392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009129798,0.0006688923,0.00029571852,0.0012826528,0.0018511553,0.0022302172,0.0014536821,0.0013113462,0.11829639],"category_scores_gemma":[0.0021578285,0.0003757551,0.0005065765,0.0010966193,0.0002648139,0.0011248217,0.0016890222,0.0015928501,0.04378504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008176219,0.0036232858,0.0099682985,0.0007249433,0.000008020871,0.0005542691,0.0014505651,0.0029656475,0.026937205,0.030114213,0.33414623,0.5886898],"study_design_scores_gemma":[0.00022147218,0.001517732,0.037824973,0.0003163572,0.000013003912,0.00035629174,0.001092999,0.0030688443,0.005956738,0.008145479,0.9414212,0.000065056156],"about_ca_topic_score_codex":0.003370403,"about_ca_topic_score_gemma":0.0074509396,"teacher_disagreement_score":0.11829639,"about_ca_system_score_codex":0.0020576878,"about_ca_system_score_gemma":0.005238081,"threshold_uncertainty_score":0.3957408},"labels":[],"label_agreement":null},{"id":"W2755750048","doi":"10.5430/ijfr.v8n4p7","title":"Brexit’s Protectionist Policy and Implications for the British Pound","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Brexit; Protectionism; Pound (networking); Unemployment; Inflation (cosmology); International Fisher effect; Interest rate; Interest rate parity; Forward rate; Inflation rate; Wage; Keynesian economics; International economics; Monetary economics; Real interest rate; Macroeconomics; Fisher hypothesis; Labour economics; European union","score_opus":0.24936396280419065,"score_gpt":0.40889221687721466,"score_spread":0.159528254073024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755750048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95700794,0.0014575317,0.00043981397,0.012754349,0.00008228942,0.000006548105,0.00021103954,0.000020341466,0.0280202],"genre_scores_gemma":[0.99486744,0.00075965066,0.000097927885,0.00041508937,0.000034971654,0.0000021353646,0.00008218648,0.000008370326,0.0037321902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964106,0.000059656624,0.000019557228,0.000056802193,0.00012843161,0.00009452223],"domain_scores_gemma":[0.9985153,0.00028871838,0.0007071513,0.00006125195,0.00024302419,0.00018444663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072012877,0.00011500156,0.00025299905,0.00055744685,0.0008385513,0.0021061362,0.00020117615,0.00068781676,0.0036256022],"category_scores_gemma":[0.005499131,0.00011221613,0.00015207985,0.001089498,0.0012366935,0.00077940023,0.0007293633,0.00097448984,0.00036535517],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016767115,0.00019708551,0.6606924,0.0003663244,0.00013737021,0.0033816702,0.0092223715,0.0073241973,0.005344763,0.17996493,0.019104397,0.11258767],"study_design_scores_gemma":[0.00002433085,0.00012840933,0.95004493,0.00010924358,0.000022264305,0.00022007112,0.0057214517,0.002008723,0.00064026547,0.010965739,0.03008546,0.000029040013],"about_ca_topic_score_codex":0.10163228,"about_ca_topic_score_gemma":0.105008595,"teacher_disagreement_score":0.10163228,"about_ca_system_score_codex":0.002861036,"about_ca_system_score_gemma":0.0015188587,"threshold_uncertainty_score":0.20208144},"labels":[],"label_agreement":null},{"id":"W2764716956","doi":"10.5430/ijfr.v5n3p110","title":"Internal Controls and Knowledge Reengineering in Organization: Hong Kong Evidence","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business process reengineering; Business; Knowledge management; Marketing; Computer science","score_opus":0.041995108661749644,"score_gpt":0.32275447762752135,"score_spread":0.2807593689657717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764716956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958845,0.0011967161,0.0000583324,0.00024967478,0.000008663295,0.00002024833,0.00015809055,0.0000013234998,0.0024224662],"genre_scores_gemma":[0.9979126,0.00093715114,0.000059681508,0.000113275586,0.0000057465168,0.000012282605,0.00011666666,0.000001212814,0.0008414865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989109,0.0003122735,0.00015316432,0.00013589823,0.00024303074,0.00024476898],"domain_scores_gemma":[0.98729855,0.0031882876,0.0050369645,0.0006411338,0.0018518706,0.0019831834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024166151,0.00031806168,0.00036432323,0.0010210596,0.0012114265,0.0017344729,0.0006205243,0.000397583,0.0040371707],"category_scores_gemma":[0.004961845,0.00024507023,0.00052527303,0.0019276546,0.0012905169,0.00091744494,0.0009622662,0.000711254,0.0002615721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017797465,0.00026979038,0.9866628,0.00020740421,0.00017282416,0.00037692327,0.003419012,0.00009582973,0.0000826022,0.00038794056,0.00045157483,0.007695437],"study_design_scores_gemma":[0.00002247019,0.00015516813,0.992991,0.00018950053,0.00020340328,0.00008654538,0.004621303,0.00017469247,0.0001300282,0.00007333944,0.0013376158,0.000014912293],"about_ca_topic_score_codex":0.24099924,"about_ca_topic_score_gemma":0.32494196,"teacher_disagreement_score":0.24099924,"about_ca_system_score_codex":0.0034272203,"about_ca_system_score_gemma":0.006094647,"threshold_uncertainty_score":0.4791929},"labels":[],"label_agreement":null},{"id":"W2765479089","doi":"10.5430/ijfr.v8n4p107","title":"Over-Valuation: Avoid Double Counting when Retaining Dividends in the FCFE Valuation","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Valuation (finance); Free cash flow; Discounted cash flow; Dividend; Economics; Actuarial science; Equity (law); Confusion; Cash flow; Econometrics; Finance","score_opus":0.30033795849039163,"score_gpt":0.4687633456148732,"score_spread":0.16842538712448157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765479089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09313676,0.0013974631,0.86941934,0.0013589138,0.0006906595,0.00023769969,0.00032302437,0.0011550828,0.032281063],"genre_scores_gemma":[0.70669615,0.0007466087,0.28303504,0.00032522262,0.0003764027,0.00014697337,0.00035092005,0.00075014227,0.0075724926],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.992448,0.0028191758,0.0005957871,0.00088308105,0.0027195378,0.00053442584],"domain_scores_gemma":[0.97200483,0.013972394,0.0027223276,0.006563551,0.0042719757,0.00046491128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011699844,0.0010845317,0.00095171697,0.0024718023,0.00096892635,0.005847723,0.002024675,0.0015202594,0.0061888685],"category_scores_gemma":[0.07967172,0.000405407,0.00082018727,0.0026375265,0.0015764672,0.008603785,0.0023608946,0.002547239,0.0015762721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006234302,0.00018276973,0.019676914,0.0003947634,0.00013849096,0.0014947292,0.001666936,0.028672224,0.0075379214,0.27931958,0.012359597,0.6479327],"study_design_scores_gemma":[0.000107963315,0.00057910004,0.021769324,0.0014551646,0.00029295406,0.004291909,0.0015790316,0.33765072,0.04156711,0.5039994,0.086265214,0.00044199615],"about_ca_topic_score_codex":0.0018298215,"about_ca_topic_score_gemma":0.0013397142,"teacher_disagreement_score":0.011699844,"about_ca_system_score_codex":0.0010826925,"about_ca_system_score_gemma":0.0015456076,"threshold_uncertainty_score":0.061875403},"labels":[],"label_agreement":null},{"id":"W2765617306","doi":"10.5430/ijfr.v8n4p196","title":"Shareholder Value Index for Saudi Banks","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shareholder value; Shareholder; Market value added; Economic Value Added; Index (typography); Market value; Business; Value (mathematics); Profit (economics); Shareholder loan; Economics; Finance; Microeconomics; Corporate governance; Non-performing loan; Mathematics; Statistics","score_opus":0.092424201700247,"score_gpt":0.3916798863165332,"score_spread":0.2992556846162862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765617306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96474606,0.0012855835,0.00480406,0.00053855585,0.000054838765,0.00008848245,0.0058749085,0.00012617696,0.022481294],"genre_scores_gemma":[0.99135137,0.00030832898,0.0016452973,0.00003208492,0.000023629482,0.000029537192,0.0034409496,0.000008584302,0.0031602513],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998912,0.00010231153,0.00016803869,0.000082973645,0.000624514,0.000110126515],"domain_scores_gemma":[0.9932132,0.00064421335,0.0029635085,0.00021771944,0.0027201555,0.00024115553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011634196,0.00025514018,0.00018456709,0.0036519922,0.0002713765,0.0013315444,0.00027636177,0.00029269842,0.0021434205],"category_scores_gemma":[0.0055639087,0.00006838165,0.00020501726,0.0028897529,0.00018366352,0.0009959172,0.0006021702,0.00028834434,0.0008817095],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017797049,0.00009135329,0.8567457,0.00012774082,0.00010465919,0.00017352548,0.00063170947,0.0034024818,0.002215167,0.003477882,0.008428061,0.12442379],"study_design_scores_gemma":[0.0000099760855,0.00017994025,0.94913423,0.000063862135,0.000048618513,0.00046891114,0.0012721419,0.011113404,0.0045466875,0.0016398346,0.031484783,0.00003769368],"about_ca_topic_score_codex":0.0045967666,"about_ca_topic_score_gemma":0.003721129,"teacher_disagreement_score":0.0045967666,"about_ca_system_score_codex":0.0010252261,"about_ca_system_score_gemma":0.0005384004,"threshold_uncertainty_score":0.009140015},"labels":[],"label_agreement":null},{"id":"W2765633297","doi":"10.5430/ijfr.v8n4p134","title":"The Merits of Specialized Microfinance Instruments and Their Feasibility in Alleviating Poverty in Albany-Dougherty County, Georgia","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prosperity; Poverty; Unemployment; Enthusiasm; Economics; Economic growth; Microfinance; Development economics; Finance","score_opus":0.10399304050182341,"score_gpt":0.364583575884903,"score_spread":0.2605905353830796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765633297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945127,0.00008431998,0.00005900203,0.00087816955,0.0000055038886,0.000026711248,0.00008579809,0.0000040985806,0.0043438664],"genre_scores_gemma":[0.9987562,0.00006721015,0.00009518914,0.000058176967,0.0000052237074,0.000016015169,0.000056225635,0.0000011602544,0.0009445901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991015,0.000382282,0.000021442265,0.00005432864,0.00012862514,0.0003118777],"domain_scores_gemma":[0.9970893,0.00092604716,0.00047266253,0.00008670348,0.0005931061,0.00083215546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010772506,0.00015165152,0.0001975925,0.00083707244,0.0010934783,0.0012599265,0.0008076968,0.00033982217,0.002352746],"category_scores_gemma":[0.0062209973,0.00010678426,0.00011620544,0.0008802526,0.0007490434,0.0005827556,0.0018450463,0.0006306496,0.00016935293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006700905,0.000805905,0.90555453,0.00012652448,0.000048315207,0.0010521363,0.004970997,0.001802929,0.00083837716,0.0035754605,0.008452568,0.07210227],"study_design_scores_gemma":[0.000037448957,0.0002800162,0.9747533,0.00013467393,0.000030254556,0.000091420894,0.017039755,0.0025739449,0.000239839,0.0007830289,0.0040206267,0.000015666725],"about_ca_topic_score_codex":0.26726338,"about_ca_topic_score_gemma":0.58855647,"teacher_disagreement_score":0.26726338,"about_ca_system_score_codex":0.0033724892,"about_ca_system_score_gemma":0.0030825401,"threshold_uncertainty_score":0.53141546},"labels":[],"label_agreement":null},{"id":"W2766031654","doi":"10.5430/ijfr.v8n4p115","title":"A Psychometric Evaluation of Skill Clusters and Practices Used by Highly Effective Executive Presenters","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Context (archaeology); Psychology; Executive summary; Face (sociological concept); Business; Medicine; Sociology","score_opus":0.16593413224064857,"score_gpt":0.5888946119784224,"score_spread":0.42296047973777384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766031654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994547,0.000073468385,0.0015062828,0.00006303483,0.000019011766,0.00038316418,0.00008114948,0.000044757933,0.003282166],"genre_scores_gemma":[0.99453837,0.0001320757,0.0038177045,0.000042097425,0.00001710624,0.00035899944,0.00020694714,0.000014056549,0.0008725805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9924609,0.0023010608,0.0012306722,0.0004464732,0.0030871425,0.00047371045],"domain_scores_gemma":[0.9360994,0.029506342,0.011161996,0.0048036864,0.015054302,0.003374228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014067549,0.00044462082,0.00047180222,0.0027624024,0.0007131008,0.0012130413,0.00060795655,0.00057197385,0.0019135826],"category_scores_gemma":[0.044610195,0.0003834866,0.0011054719,0.0013536589,0.0010977127,0.0013758949,0.0014128684,0.0008551466,0.00057725975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059852743,0.0031053063,0.83706504,0.0003657652,0.00022954165,0.00022555103,0.009189156,0.0009510409,0.0057116817,0.0004272507,0.0016980723,0.14043306],"study_design_scores_gemma":[0.000081109785,0.005809184,0.97952396,0.00008827547,0.000068259025,0.00039866145,0.006202455,0.0016966744,0.0028834334,0.00038468145,0.0028084056,0.000054835746],"about_ca_topic_score_codex":0.00062735577,"about_ca_topic_score_gemma":0.00093248626,"teacher_disagreement_score":0.014067549,"about_ca_system_score_codex":0.0008068183,"about_ca_system_score_gemma":0.0011679867,"threshold_uncertainty_score":0.07439721},"labels":[],"label_agreement":null},{"id":"W2766305334","doi":"10.5430/ijfr.v8n4p184","title":"Presidential Election and Portfolio Selections in the Nigeria Stock Exchange","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Presidential election; Stock exchange; Presidential system; Portfolio; Stock (firearms); Market capitalization; Capitalization; Economics; Stock market; Business; Monetary economics; Event study; Financial economics; Politics; Finance; Political science","score_opus":0.1000023723919355,"score_gpt":0.3650473035433836,"score_spread":0.2650449311514481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766305334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741155,0.00025797906,0.000028697352,0.00016369381,0.000016014488,0.0000035729881,0.0000764984,0.0000017046073,0.0020402619],"genre_scores_gemma":[0.99888784,0.00016975227,0.000015843374,0.000017059414,0.000020980317,0.0000012564909,0.00011393129,7.2878265e-7,0.0007725164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997527,0.000053266256,0.0000277327,0.000026231413,0.000065910805,0.00007413548],"domain_scores_gemma":[0.99713755,0.000498145,0.0016986451,0.00006646396,0.00023782828,0.00036131576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006824372,0.000115580486,0.00017056789,0.0005404815,0.00036868086,0.0011647686,0.00010516399,0.00022771045,0.0027220207],"category_scores_gemma":[0.0034837986,0.00007455445,0.00014455232,0.00055163255,0.00013415355,0.0004471055,0.0003345416,0.00052969984,0.00035927873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016542058,0.0000870508,0.9903108,0.00001074835,0.000030234061,0.00020603619,0.000201718,0.00014678671,0.00025047795,0.00019386066,0.0004215128,0.007975277],"study_design_scores_gemma":[0.000002561796,0.000040783216,0.99867415,0.000005618208,0.0000085513575,0.000054441418,0.00026011045,0.00020923353,0.00009747557,0.00004197993,0.0006026317,0.0000025292159],"about_ca_topic_score_codex":0.0038269663,"about_ca_topic_score_gemma":0.007705452,"teacher_disagreement_score":0.0038269663,"about_ca_system_score_codex":0.0002993859,"about_ca_system_score_gemma":0.0002338206,"threshold_uncertainty_score":0.0091061},"labels":[],"label_agreement":null},{"id":"W2766330495","doi":"10.5430/ijfr.v8n4p228","title":"Foreign Direct Investment, Financial Development and Economic Growth Evidence from Saudi Arabia","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Foreign direct investment; Granger causality; Vector autoregression; Economics; Causality (physics); Context (archaeology); Monetary economics; Variance decomposition of forecast errors; Financial market; Macroeconomics; Finance; Econometrics","score_opus":0.08804853196169367,"score_gpt":0.3466020317563815,"score_spread":0.25855349979468784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766330495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879533,0.0037531422,0.00012223443,0.00088091876,0.000014363649,0.0000039680435,0.0005147457,0.0000037446703,0.006753498],"genre_scores_gemma":[0.995464,0.003187172,0.000086262924,0.000050147853,0.000017686885,0.0000012144145,0.0004863548,9.998117e-7,0.0007061949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986756,0.00003043026,0.000017283235,0.000017641067,0.000038327278,0.00002869524],"domain_scores_gemma":[0.99741614,0.0008250598,0.0009417165,0.000075940654,0.0005622814,0.0001789047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052789313,0.00020209186,0.00013208152,0.0013546287,0.00025452886,0.0007908794,0.0001190657,0.00018367718,0.0016183332],"category_scores_gemma":[0.0018383783,0.00007945124,0.00017670589,0.00165982,0.0003517926,0.00043767056,0.00047515356,0.00031376,0.00023285883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026666684,0.00008079999,0.94210356,0.00038939784,0.00014322189,0.0011960841,0.0020093585,0.0016189562,0.0009502573,0.0054607373,0.0021337098,0.043647192],"study_design_scores_gemma":[0.000010930567,0.000059743597,0.98224765,0.0002016081,0.00009399884,0.00038965038,0.003653495,0.0014124864,0.0009103193,0.00063120015,0.010376802,0.000012198511],"about_ca_topic_score_codex":0.031684835,"about_ca_topic_score_gemma":0.031842034,"teacher_disagreement_score":0.031684835,"about_ca_system_score_codex":0.00060137146,"about_ca_system_score_gemma":0.00069854455,"threshold_uncertainty_score":0.06300086},"labels":[],"label_agreement":null},{"id":"W2766611194","doi":"10.5430/ijfr.v8n4p240","title":"Performance Evaluation of Religious Funds","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Luck; Mutual fund; Bootstrapping (finance); Benchmark (surveying); Actuarial science; Econometrics; Psychology; Business; Finance; Economics; Theology","score_opus":0.10792882563777764,"score_gpt":0.4033771900818287,"score_spread":0.2954483644440511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766611194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970341,0.00019972776,0.0002511563,0.0000998503,0.000006181246,0.0000085993925,0.0001787354,0.000013066594,0.0022085551],"genre_scores_gemma":[0.99922657,0.000046349553,0.0001277556,0.0000061130636,0.000014210574,0.0000023598413,0.00019432494,0.0000016824976,0.00038064033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982369,0.00051317754,0.00018282035,0.00016893227,0.00065093266,0.0002473215],"domain_scores_gemma":[0.98635906,0.0024779057,0.007353088,0.0005427166,0.002356654,0.00091068255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037110504,0.00028677587,0.00024636672,0.0020471886,0.00027808396,0.0010991314,0.00039464934,0.00038205364,0.0014081602],"category_scores_gemma":[0.018335108,0.000071266826,0.0002648823,0.001272238,0.00038444964,0.0010144555,0.00070152263,0.00033519254,0.00037917992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050709775,0.0001973578,0.9322898,0.000079910285,0.00010327145,0.00032745703,0.0008489456,0.0062696827,0.0013274325,0.0029705553,0.0013852221,0.053693313],"study_design_scores_gemma":[0.00002326141,0.001110698,0.9801485,0.000046245532,0.000046526482,0.0003257246,0.0011384935,0.010583391,0.0020023573,0.0008618929,0.0036819873,0.000030991752],"about_ca_topic_score_codex":0.0027942797,"about_ca_topic_score_gemma":0.0030388504,"teacher_disagreement_score":0.0037110504,"about_ca_system_score_codex":0.0013481805,"about_ca_system_score_gemma":0.0005515886,"threshold_uncertainty_score":0.01962614},"labels":[],"label_agreement":null},{"id":"W2766645598","doi":"10.5430/ijfr.v8n4p213","title":"A Proposed Investment on a University Campus","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entertainment; Space (punctuation); Investment (military); Marketing; Revenue; Business; Advertising; Finance; Computer science; Political science; Law","score_opus":0.06542158039309891,"score_gpt":0.3565984296801658,"score_spread":0.2911768492870669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766645598","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11398845,0.0005496641,0.008402854,0.012552022,0.001623753,0.00036448817,0.00040569945,0.0007277285,0.8613854],"genre_scores_gemma":[0.32386994,0.00032254105,0.004571395,0.000848477,0.00038563882,0.000114592156,0.0002994762,0.00010083619,0.6694871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99845123,0.0002824336,0.000044823988,0.00017186199,0.00057945534,0.0004702047],"domain_scores_gemma":[0.9980702,0.00009313617,0.00007780371,0.00020395315,0.00029549343,0.0012593436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096385676,0.0004220023,0.00022807006,0.0006873583,0.0034534878,0.006536453,0.0012151332,0.00235039,0.12156312],"category_scores_gemma":[0.0024785886,0.000293658,0.0004400247,0.0004960759,0.0006654435,0.002120856,0.003931045,0.0023353181,0.022982016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045873254,0.0012039792,0.02211086,0.00014271784,0.00004966502,0.0028634632,0.0024199514,0.0017530711,0.005506583,0.36948627,0.2782172,0.31578752],"study_design_scores_gemma":[0.000043624084,0.00074017537,0.011592517,0.0001389563,0.000031400876,0.0011758519,0.0041114916,0.003284701,0.0019477076,0.012200748,0.96465075,0.00008188226],"about_ca_topic_score_codex":0.0019276125,"about_ca_topic_score_gemma":0.004878706,"teacher_disagreement_score":0.12156312,"about_ca_system_score_codex":0.0026635346,"about_ca_system_score_gemma":0.0037397593,"threshold_uncertainty_score":0.40666914},"labels":[],"label_agreement":null},{"id":"W2766762058","doi":"10.5430/ijfr.v8n4p127","title":"A Time Series Analysis of Major Indexes Using GARCH Model with Regime Shifts","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Autoregressive conditional heteroskedasticity; Econometrics; Autoregressive model; Economics; Heteroscedasticity; Forward volatility; Persistence (discontinuity); Stochastic volatility; Time series; Mathematics; Statistics; Engineering","score_opus":0.13446035827117506,"score_gpt":0.37485384470189514,"score_spread":0.2403934864307201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766762058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65580356,0.00093771814,0.33669993,0.0003833501,0.00010821221,0.000077765326,0.00051670376,0.0005931551,0.0048796865],"genre_scores_gemma":[0.9695607,0.00036962354,0.02822948,0.00002050252,0.000047855312,0.000026425389,0.00033929467,0.000034839362,0.001371351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996828,0.00008327487,0.000022701108,0.00008442274,0.000086251115,0.000040577383],"domain_scores_gemma":[0.99920803,0.00040860605,0.00015280482,0.000087610955,0.00010956081,0.00003334403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092994963,0.0004317593,0.0005409182,0.0010926594,0.000302586,0.001021581,0.0004214656,0.0004698009,0.0013356934],"category_scores_gemma":[0.0034964886,0.00020706216,0.0010056137,0.0014328047,0.00019110412,0.000848683,0.00033356866,0.0006587018,0.00023790053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003294032,0.000265339,0.07813597,0.00026142906,0.0009284424,0.0014394822,0.00061537104,0.5945017,0.022875117,0.068656996,0.0030940867,0.22889668],"study_design_scores_gemma":[0.0000100060215,0.000105484025,0.018388312,0.000013764213,0.00007261525,0.00010155596,0.000051603765,0.9693164,0.0017233684,0.008853376,0.0013320532,0.000031408286],"about_ca_topic_score_codex":0.004327656,"about_ca_topic_score_gemma":0.0022922712,"teacher_disagreement_score":0.004327656,"about_ca_system_score_codex":0.00030585678,"about_ca_system_score_gemma":0.0005145096,"threshold_uncertainty_score":0.008604944},"labels":[],"label_agreement":null},{"id":"W2767200958","doi":"10.5430/ijfr.v8n4p167","title":"The Effect of Branchless Banking Strategy on the Financial Performance of Commercial Banks in Kenya","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Telephone banking; Financial system; Finance; Financial services; Agency (philosophy); Mobile banking; Retail banking; Marketing","score_opus":0.06328556002189299,"score_gpt":0.34922487315990736,"score_spread":0.28593931313801435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767200958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978453,0.00027822104,0.000007980245,0.00024274879,0.0000027649328,0.000010601325,0.000027948385,7.349022e-7,0.0015837507],"genre_scores_gemma":[0.999398,0.00021549207,0.000018097091,0.000035296573,0.00000288363,0.000004154799,0.000019232937,3.9274306e-7,0.0003065419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990934,0.00040859624,0.00005417707,0.00007318953,0.00013318314,0.00023747604],"domain_scores_gemma":[0.9957688,0.0009416556,0.0017033707,0.00004845631,0.00048796996,0.0010496596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009653837,0.00031108825,0.00026316455,0.00057907635,0.0011526484,0.0016537736,0.00031841366,0.0006057592,0.003903924],"category_scores_gemma":[0.0033310857,0.00014373097,0.00020876422,0.0007022758,0.00080933084,0.0008465173,0.0008195528,0.0006044763,0.00038173835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007594349,0.0011836479,0.9569669,0.00015500872,0.00010604299,0.0011807381,0.005678027,0.000444114,0.0015148642,0.00092503196,0.0014152785,0.029670905],"study_design_scores_gemma":[0.000020461996,0.0005618968,0.98895746,0.00011400928,0.00004379411,0.00012912687,0.008722196,0.00032876644,0.0002010587,0.00011585547,0.0007881971,0.000017194467],"about_ca_topic_score_codex":0.021523891,"about_ca_topic_score_gemma":0.053033154,"teacher_disagreement_score":0.021523891,"about_ca_system_score_codex":0.0016061999,"about_ca_system_score_gemma":0.001709582,"threshold_uncertainty_score":0.042797208},"labels":[],"label_agreement":null},{"id":"W2771439589","doi":"10.5430/ijfr.v9n1p31","title":"Macroeconomic Factors and Corporate Capital Structure: Evidence from Listed Joint Stock Companies in Vietnam","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Profitability index; Business; Monetary economics; Stock (firearms); Risk-adjusted return on capital; Capital formation; Stock exchange; Finance; Financial system; Financial capital; Economics; Human capital; Economic growth","score_opus":0.1492273220959906,"score_gpt":0.3406285878976033,"score_spread":0.1914012658016127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771439589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888664,0.00015529564,0.00002352919,0.000079928366,0.0000015493424,0.0000024576107,0.00019163362,4.169712e-7,0.0006584392],"genre_scores_gemma":[0.99943656,0.0001417676,0.000012999099,0.000009403509,0.000002239794,8.621055e-7,0.00021846544,3.1324768e-7,0.00017722572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998604,0.000029329414,0.000012079419,0.000026188069,0.0000313687,0.00004068985],"domain_scores_gemma":[0.99862075,0.00026375262,0.0006511576,0.000037966056,0.00015420307,0.0002722398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000291467,0.00009321853,0.00010636921,0.000518708,0.0002412406,0.00059905235,0.00013675465,0.000117861644,0.0011326029],"category_scores_gemma":[0.0009348254,0.00009945841,0.00010872114,0.0008485662,0.00024583007,0.0003345987,0.00032400066,0.00020212925,0.00008066054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123959835,0.00002245372,0.99734914,0.000012928032,0.000019845387,0.00015191143,0.0005129378,0.00008484506,0.00007373168,0.00014379283,0.00011693242,0.0014990635],"study_design_scores_gemma":[0.0000012349792,0.000016287562,0.99771535,0.000009812989,0.000008990421,0.0000523897,0.0014525643,0.00019518318,0.000048198155,0.000033518663,0.0004648669,0.0000015888994],"about_ca_topic_score_codex":0.06412654,"about_ca_topic_score_gemma":0.091689244,"teacher_disagreement_score":0.06412654,"about_ca_system_score_codex":0.0005042888,"about_ca_system_score_gemma":0.000610778,"threshold_uncertainty_score":0.12750661},"labels":[],"label_agreement":null},{"id":"W2772334984","doi":"10.5430/ijfr.v9n1p74","title":"Market Fragmentation, Market Quality and Clientele Effects","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Order (exchange); Financial economics; Flash trading; Market depth; Sample (material); Business; Market maker; Monetary economics; Stock market; Economics; Stock (firearms); Algorithmic trading; Open outcry; Alternative trading system; Finance","score_opus":0.11780833051628795,"score_gpt":0.39965669118917085,"score_spread":0.2818483606728829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772334984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957995,0.0002913266,0.00054813846,0.00007816178,0.0000018118075,0.000015394637,0.00006788003,0.000008200644,0.0031896804],"genre_scores_gemma":[0.99943906,0.000046155157,0.00013017064,0.000009796141,0.0000072812895,0.0000028095417,0.00006365999,0.000003367995,0.00029771478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809855,0.0004540628,0.00015957205,0.00023900723,0.0007448743,0.00030396838],"domain_scores_gemma":[0.9553627,0.021784622,0.014938977,0.0026025118,0.0018532493,0.0034579728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023660294,0.00023506387,0.0007241136,0.002816703,0.000742671,0.0025567077,0.0006068477,0.0005749223,0.010970008],"category_scores_gemma":[0.02407045,0.00023845187,0.00040842997,0.0022883639,0.0015499494,0.0023123282,0.0026973663,0.00083796465,0.0006657924],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046851384,0.00023319492,0.9777915,0.000042333217,0.00016368693,0.00027672623,0.0006299846,0.0013216609,0.0011472221,0.0022110217,0.00014256714,0.015571523],"study_design_scores_gemma":[0.00004171772,0.00019431087,0.9931805,0.00001560966,0.000058133646,0.00031708324,0.0007042216,0.002337713,0.00045742642,0.0023480647,0.0003301725,0.0000149574735],"about_ca_topic_score_codex":0.0028631343,"about_ca_topic_score_gemma":0.0045463424,"teacher_disagreement_score":0.010970008,"about_ca_system_score_codex":0.0008614029,"about_ca_system_score_gemma":0.0003678956,"threshold_uncertainty_score":0.03669828},"labels":[],"label_agreement":null},{"id":"W2772382660","doi":"10.5430/ijfr.v9n1p90","title":"How Early Can Non-Performance Loan Predict Bank Failure? Evidence from US Bank Failure during 2008-2010","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Bank failure; Probit model; Loan; Probit; Multivariate probit model; Economics; Actuarial science; Econometrics; Financial system; Finance; Geography","score_opus":0.048250705354752496,"score_gpt":0.2996459798040187,"score_spread":0.2513952744492662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772382660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961901,0.00018336072,0.00019577857,0.000887938,0.000008742662,0.000005852029,0.0010744014,0.0000095586665,0.0014441488],"genre_scores_gemma":[0.99875,0.00012475268,0.0000252783,0.0000424083,0.000012037384,0.0000025056347,0.00067910255,0.0000018115971,0.0003621348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992217,0.00022564345,0.000096439195,0.00009994597,0.00015900348,0.00019718695],"domain_scores_gemma":[0.9748302,0.008861732,0.011208739,0.0007072476,0.0029613655,0.0014307922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019377817,0.00024406843,0.00029721172,0.0010681887,0.0003555164,0.0011024136,0.0005044571,0.00074095494,0.0033603963],"category_scores_gemma":[0.0130972555,0.00020706216,0.00026448132,0.0011054623,0.00045003663,0.0010177202,0.00077090523,0.0013876482,0.001402133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013286133,0.00007530987,0.99343854,0.000013719735,0.000022767012,0.00007706147,0.00013863262,0.0014375501,0.0000626788,0.00014384845,0.0012768658,0.0031801017],"study_design_scores_gemma":[0.0000064920755,0.00008093265,0.99286824,0.000023537792,0.00002391963,0.000049276878,0.00054427463,0.005182961,0.00021609267,0.0003637693,0.0006320796,0.00000831357],"about_ca_topic_score_codex":0.030357283,"about_ca_topic_score_gemma":0.040792678,"teacher_disagreement_score":0.030357283,"about_ca_system_score_codex":0.0006917947,"about_ca_system_score_gemma":0.0006025588,"threshold_uncertainty_score":0.060361147},"labels":[],"label_agreement":null},{"id":"W2772485419","doi":"10.5430/ijfr.v9n1p115","title":"Semi-Strong Form of Efficiency of Nigerian Stock Market: An Empirical Test in the Context of Input and Output Index","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Econometrics; Capitalization; Index (typography); Stock market; Stock market index; Stock (firearms); Business; Economics; Population; Financial economics; Context (archaeology); Actuarial science; Computer science; Geography","score_opus":0.11278686381120781,"score_gpt":0.37643984599392694,"score_spread":0.26365298218271915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772485419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929541,0.00008015207,0.0025245866,0.000092407514,0.0000040752047,0.000034666868,0.00012757041,0.000007128224,0.0041754],"genre_scores_gemma":[0.9992719,0.000024666953,0.0003442674,0.000008459105,0.0000070820497,0.00000793307,0.0001241225,0.0000019114177,0.00020963569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963527,0.000882703,0.0006470945,0.00050123926,0.00114461,0.00047168625],"domain_scores_gemma":[0.9489056,0.03246508,0.009990718,0.0041702474,0.0032964246,0.0011719575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005410961,0.0003186888,0.0006136798,0.0016914948,0.00046190407,0.002410278,0.0006101912,0.0006175452,0.0038864051],"category_scores_gemma":[0.028367234,0.00024649146,0.0010070618,0.0012638512,0.0022145873,0.0025433118,0.0017421343,0.00084433024,0.0004108172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036167828,0.0001843184,0.9679869,0.00009259948,0.00026562207,0.0006831648,0.0006717244,0.0050139143,0.0012752882,0.012357276,0.00027116807,0.010836435],"study_design_scores_gemma":[0.000055970213,0.0009623924,0.922471,0.00007642309,0.00012803696,0.0010683296,0.0027649275,0.050239682,0.0028580644,0.018086828,0.0012528212,0.000035576053],"about_ca_topic_score_codex":0.0008789829,"about_ca_topic_score_gemma":0.0007915855,"teacher_disagreement_score":0.005410961,"about_ca_system_score_codex":0.0005897875,"about_ca_system_score_gemma":0.0008153442,"threshold_uncertainty_score":0.02861619},"labels":[],"label_agreement":null},{"id":"W2773820807","doi":"10.5430/ijfr.v9n1p1","title":"Monday Effect in the Chinese Stock Market","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thursday; Mainland China; Stock market; China; Names of the days of the week; Equity (law); Stock (firearms); Stock market index; Economics; Financial economics; Business; Geography; Political science","score_opus":0.0655160825434291,"score_gpt":0.3697964004455339,"score_spread":0.3042803179021048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773820807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98636013,0.0015834713,0.00086854456,0.00038102324,0.00006309165,0.0000321449,0.0004913912,0.000028265777,0.010191933],"genre_scores_gemma":[0.99831676,0.00032304766,0.00015203214,0.000035650428,0.000042855736,0.000007047448,0.00018802685,0.0000036021556,0.0009310211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946934,0.00009153512,0.000053152733,0.000093259616,0.0002118505,0.000080857695],"domain_scores_gemma":[0.9967244,0.0010183932,0.0012806745,0.00026588744,0.00042749182,0.0002831785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013595464,0.00019925056,0.00035119444,0.001500665,0.0005841071,0.0012030074,0.00027017863,0.00026366458,0.0035591119],"category_scores_gemma":[0.006422815,0.000121820245,0.0005207133,0.0018130143,0.00071709906,0.000950696,0.0005068035,0.00043836996,0.00019844856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082818157,0.00012208715,0.90924454,0.00030699262,0.00029706603,0.0016140059,0.0015966732,0.0031022148,0.0040042116,0.019172722,0.0044441354,0.05526719],"study_design_scores_gemma":[0.000011005361,0.000087903914,0.9916386,0.00001766109,0.00005423112,0.00017065466,0.00027205364,0.0030842142,0.0005531632,0.001266873,0.0028229556,0.000020780817],"about_ca_topic_score_codex":0.017665792,"about_ca_topic_score_gemma":0.014691191,"teacher_disagreement_score":0.017665792,"about_ca_system_score_codex":0.0009909043,"about_ca_system_score_gemma":0.0006003095,"threshold_uncertainty_score":0.03512597},"labels":[],"label_agreement":null},{"id":"W2774262783","doi":"10.5430/ijfr.v9n1p99","title":"Perceived Benefits and Challeges of IFRS Adoption in Ghana: Views of Members of Institute of Chartered Accountants, Ghana (ICAG)","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comparability; Accounting; International Financial Reporting Standards; Business; Developing country; Empirical evidence; Empirical research; Economics; Economic growth","score_opus":0.07682823109923825,"score_gpt":0.3395839974164991,"score_spread":0.26275576631726083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774262783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969791,0.00015300683,0.00007234288,0.0012096659,0.000011062351,0.000009684967,0.000021466554,0.0000018996517,0.0015417931],"genre_scores_gemma":[0.9991394,0.00017310661,0.00009227371,0.00017494347,0.00000840348,0.0000047021836,0.000015555974,0.00000139903,0.00039022605],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99639124,0.0020097701,0.00026872352,0.00015098367,0.0006521633,0.0005270908],"domain_scores_gemma":[0.9739492,0.008220078,0.011667108,0.0008332073,0.002330644,0.0029996696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074386634,0.00017269024,0.00023646498,0.0005632073,0.0016504499,0.0026009195,0.0003026062,0.00062928675,0.0021998817],"category_scores_gemma":[0.018386425,0.00018436693,0.00022036671,0.0008260395,0.0019375142,0.0015361016,0.0015468413,0.0011892029,0.0001795338],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016609559,0.00011542922,0.7508138,0.00012788162,0.0000310908,0.0012410496,0.21462743,0.00013214957,0.0018630319,0.0013836679,0.0015200294,0.027978407],"study_design_scores_gemma":[0.00000767736,0.00028233952,0.49805254,0.00021414208,0.000016934282,0.0005712849,0.48976216,0.00021008121,0.00042943016,0.00026860443,0.010143605,0.00004117812],"about_ca_topic_score_codex":0.015123922,"about_ca_topic_score_gemma":0.01914081,"teacher_disagreement_score":0.015123922,"about_ca_system_score_codex":0.002021428,"about_ca_system_score_gemma":0.0019651037,"threshold_uncertainty_score":0.03933984},"labels":[],"label_agreement":null},{"id":"W2774823108","doi":"10.5430/ijfr.v9n1p8","title":"Lead-Lag Relationships in International Stock Markets Revisited: Are They Exploitable?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lead–lag compensator; Predictability; Lag; Transaction cost; Lead (geology); Stock (firearms); Trading strategy; Exploit; Basis point; Database transaction; Econometrics; Economics; Business; Financial economics; Monetary economics; Interest rate; Microeconomics; Computer science; Statistics; Geography; Mathematics","score_opus":0.19488143145850836,"score_gpt":0.36414730283284064,"score_spread":0.16926587137433227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774823108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733499,0.0057183784,0.010327861,0.0020822291,0.000062294734,0.000024456675,0.00023983035,0.0001296102,0.008065406],"genre_scores_gemma":[0.9981407,0.00081904785,0.00050581543,0.00010060362,0.00005108213,0.0000031090958,0.0000691335,0.000014232571,0.0002963044],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910635,0.00025523241,0.00009878599,0.00016187102,0.00021941998,0.00015845263],"domain_scores_gemma":[0.9738911,0.013863281,0.0090005575,0.0016311897,0.0009693555,0.0006444528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033064634,0.00041868672,0.00064848823,0.0018682452,0.00050622877,0.0036837133,0.00068020326,0.00072179525,0.0043351455],"category_scores_gemma":[0.025888635,0.00030645073,0.00071209884,0.0026446723,0.0021888337,0.0064544016,0.0013369132,0.001779213,0.0004898261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004173658,0.00016787385,0.8227386,0.0002820437,0.0005156307,0.001895479,0.0017991283,0.009616585,0.0014805782,0.04983313,0.002342346,0.10891124],"study_design_scores_gemma":[0.0001443923,0.00068279833,0.71744573,0.00034044363,0.0008120681,0.0026223604,0.004020675,0.058421917,0.00280251,0.20194638,0.010539473,0.00022127178],"about_ca_topic_score_codex":0.0031428703,"about_ca_topic_score_gemma":0.0042263446,"teacher_disagreement_score":0.0043351455,"about_ca_system_score_codex":0.0005902644,"about_ca_system_score_gemma":0.00073454034,"threshold_uncertainty_score":0.017486453},"labels":[],"label_agreement":null},{"id":"W2775366074","doi":"10.5430/ijfr.v9n1p41","title":"Performance Evaluation and Determinant Factors of China’s Logistics Enterprises Based on Careersmart Balanced Score Card","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; China; Index (typography); Human capital; Empirical research; Liability; Scale (ratio); Asset (computer security); Service (business); Investment (military); Marketing; Industrial organization; Finance; Economics; Economic growth","score_opus":0.0867258101039737,"score_gpt":0.3622068960669605,"score_spread":0.2754810859629868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775366074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987469,0.000013246248,0.000053669057,0.000027840139,0.0000012440453,0.0000060589728,0.00014907787,0.0000014230822,0.001000631],"genre_scores_gemma":[0.9992495,0.000016054712,0.00006285368,0.000003538827,0.0000014972409,0.000003854645,0.00035803986,3.7937824e-7,0.0003041753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941456,0.0000917088,0.00006584417,0.00005824053,0.00021297815,0.00015665207],"domain_scores_gemma":[0.9970469,0.00036677794,0.00091312965,0.00014483444,0.0007937404,0.00073456956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011963596,0.0002515242,0.00013968615,0.0021236825,0.0005334619,0.0007106683,0.00020880264,0.0001622796,0.0018792142],"category_scores_gemma":[0.0021724033,0.00007983942,0.00025233536,0.0020166335,0.00032898955,0.0004241028,0.0006678747,0.00020844082,0.00029700494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014020753,0.000026294905,0.99653244,0.0000032831022,0.0000053938898,0.000027602142,0.000110151006,0.00015105188,0.00008826117,0.00007689816,0.0001370049,0.002827674],"study_design_scores_gemma":[0.0000013842861,0.000033063847,0.99847525,0.0000035270152,0.000003046982,0.00001040161,0.0003082432,0.0008451624,0.00009604191,0.00002693553,0.000194523,0.0000024690796],"about_ca_topic_score_codex":0.0156165855,"about_ca_topic_score_gemma":0.019727567,"teacher_disagreement_score":0.0156165855,"about_ca_system_score_codex":0.00078799704,"about_ca_system_score_gemma":0.0013200099,"threshold_uncertainty_score":0.031051397},"labels":[],"label_agreement":null},{"id":"W2775498257","doi":"10.5430/ijfr.v9n1p50","title":"Does the January Effect Still Exists?","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonparametric statistics; Stock (firearms); January effect; Econometrics; Economics; Financial economics; Stock market; Geography","score_opus":0.08417730086471942,"score_gpt":0.36609286099527705,"score_spread":0.28191556013055763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775498257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84534323,0.043261275,0.017613107,0.042261958,0.0023430672,0.00014177746,0.0015209626,0.00036294668,0.047151677],"genre_scores_gemma":[0.9897423,0.0020723809,0.0009159866,0.0033162138,0.0018195967,0.000015051942,0.000217321,0.000056705954,0.0018446211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99542624,0.0013115855,0.00041472804,0.001368491,0.0010045817,0.00047436613],"domain_scores_gemma":[0.9146456,0.05666262,0.018765092,0.005127106,0.0031745504,0.0016249907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010081655,0.00028069093,0.0015556596,0.0013774072,0.00072373037,0.0030272522,0.0010295586,0.0017168557,0.009353411],"category_scores_gemma":[0.059540372,0.0002638997,0.0011431697,0.0017497779,0.0030889784,0.0053452435,0.0018420859,0.0020248834,0.0012028058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025614314,0.0002430602,0.740663,0.0013786316,0.0015091038,0.0013744406,0.0023222768,0.001421655,0.002129626,0.057292234,0.009745393,0.1793592],"study_design_scores_gemma":[0.0002032519,0.0013602064,0.8600699,0.0005037182,0.0008503946,0.0017257162,0.0040058875,0.0027752416,0.0023845132,0.082489125,0.043500494,0.00013157302],"about_ca_topic_score_codex":0.0020318136,"about_ca_topic_score_gemma":0.0017252129,"teacher_disagreement_score":0.010081655,"about_ca_system_score_codex":0.0007488382,"about_ca_system_score_gemma":0.0009228372,"threshold_uncertainty_score":0.053317487},"labels":[],"label_agreement":null},{"id":"W2776145821","doi":"10.5430/ijfr.v9n1p121","title":"The Relationship between the Market Value Added of SMEs Listed on AIM Italia and Internal Measures of Value Creation The Role of Corporate Strategic Planning","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Originality; Strategic planning; Value (mathematics); Order (exchange); Sample (material); Market value added; Business; Panel data; Added value; Investment (military); Marketing; Market value; Economics; Accounting; Econometrics; Finance; Statistics; Qualitative research","score_opus":0.31602594249609367,"score_gpt":0.43235791141311103,"score_spread":0.11633196891701736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776145821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969891,0.000060758885,0.00008503075,0.000065394415,0.0000028837633,0.0000057222746,0.00015880565,0.0000034828176,0.0026288736],"genre_scores_gemma":[0.9992873,0.000026053622,0.00007326079,0.0000040803134,0.0000031512934,0.000003481238,0.00014496454,0.000001030594,0.00045674754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946195,0.00011175745,0.00007731149,0.00007006493,0.00020065969,0.00007829095],"domain_scores_gemma":[0.99135923,0.0030137268,0.0034024192,0.00034294074,0.0011747282,0.0007070132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008424131,0.00021889311,0.00021024523,0.0018136678,0.00019779438,0.0017327714,0.00026655232,0.0002753933,0.0036263375],"category_scores_gemma":[0.0060012513,0.00009926872,0.00028721668,0.0013483128,0.0003447595,0.0009569871,0.0007835355,0.0004775704,0.00044461532],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085165084,0.000109464105,0.9819369,0.000052528165,0.00006622064,0.00027549235,0.0006953033,0.000507725,0.0013627965,0.00091026817,0.00030669183,0.013691447],"study_design_scores_gemma":[0.0000016434061,0.00011888622,0.99587667,0.000022706761,0.000016958296,0.0001193018,0.0011140844,0.0010533705,0.0006310012,0.0002799354,0.0007574805,0.000007934365],"about_ca_topic_score_codex":0.0012733908,"about_ca_topic_score_gemma":0.0021728715,"teacher_disagreement_score":0.0036263375,"about_ca_system_score_codex":0.00055235944,"about_ca_system_score_gemma":0.0003169668,"threshold_uncertainty_score":0.012131333},"labels":[],"label_agreement":null},{"id":"W2778776359","doi":"10.5430/ijfr.v9n1p132","title":"Multi-Criteria Decision-Making Model Evaluating the Performance of Vietnamese Commercial Banks","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Analytic hierarchy process; Multiple-criteria decision analysis; Computer science; Rank (graph theory); TOPSIS; Fuzzy logic; Ideal solution; Process (computing); Decision-making models; Operations research; Hierarchy; Preference; Order (exchange); Artificial intelligence; Engineering; Business; Mathematics; Statistics; Economics; Finance","score_opus":0.5291383708662041,"score_gpt":0.6335163545237871,"score_spread":0.104377983657583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778776359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4157029,0.0022252959,0.5272742,0.0027808445,0.0002261136,0.0012385655,0.0014522416,0.00027036754,0.0488295],"genre_scores_gemma":[0.9611173,0.0006717621,0.033396415,0.000049561055,0.000029059409,0.00039351324,0.00019376329,0.000006239295,0.004142279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985879,0.0006713039,0.00009243181,0.00020479335,0.00026952484,0.00017407558],"domain_scores_gemma":[0.9988661,0.00058992807,0.00012808971,0.000018766792,0.00029562076,0.00010145454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021910528,0.0009590143,0.00082783296,0.0015850848,0.00107492,0.0026640124,0.0016263756,0.0012265466,0.0038388057],"category_scores_gemma":[0.002135332,0.00042078554,0.00082145986,0.0014312364,0.0006357939,0.0008866958,0.0009768974,0.0008208921,0.00022122668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013250462,0.0001391776,0.004186772,0.000321623,0.0001344586,0.0007864416,0.0006342931,0.95458084,0.0011038161,0.020385334,0.0011057801,0.016488949],"study_design_scores_gemma":[0.000020056194,0.00008116866,0.00075052056,0.000037938495,0.000041488733,0.000043091208,0.00021507789,0.9939855,0.00020920968,0.0038915116,0.00070909335,0.000015346382],"about_ca_topic_score_codex":0.024212403,"about_ca_topic_score_gemma":0.016600672,"teacher_disagreement_score":0.024212403,"about_ca_system_score_codex":0.0035773371,"about_ca_system_score_gemma":0.0035843416,"threshold_uncertainty_score":0.04814291},"labels":[],"label_agreement":null},{"id":"W2782234134","doi":"10.5430/ijfr.v9n1p142","title":"Raising Interest Rates: IOER vs. OMO: Interest On Excess Reserves Vs Open Market Operations","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Excess reserves; Open market operation; Interest rate; Monetary economics; Idle; Business; Monetary policy; Federal funds; Raising (metalworking); Control (management); Recession; Economics; Government (linguistics); Repurchase agreement; Finance; Quantitative easing; Central bank; Macroeconomics; Market liquidity","score_opus":0.3787175982238742,"score_gpt":0.4686747407458589,"score_spread":0.08995714252198472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782234134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46994355,0.021163547,0.020571595,0.043739893,0.00214053,0.0001318834,0.0005945174,0.00023462778,0.44147992],"genre_scores_gemma":[0.9884554,0.002505147,0.0009461744,0.0016604144,0.0007096132,0.000025740825,0.000051866155,0.00004502889,0.0056005702],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99866533,0.00052300043,0.00005800261,0.00020089767,0.00026643847,0.00028634278],"domain_scores_gemma":[0.97661257,0.017010573,0.004315137,0.00040460238,0.00085878273,0.0007982456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045658275,0.0006538408,0.0010479725,0.0010250771,0.0006417062,0.0063422658,0.00096857327,0.0023655961,0.01244091],"category_scores_gemma":[0.019643355,0.00020171954,0.0006170345,0.0009155627,0.0021755446,0.005704412,0.0020553577,0.005622814,0.0012133903],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028567126,0.0005799459,0.02139178,0.000505128,0.00015835633,0.0005371962,0.000743011,0.014120009,0.0025539908,0.8637228,0.013948774,0.07888227],"study_design_scores_gemma":[0.0007137512,0.0023423608,0.06372487,0.0009211015,0.001281936,0.00058244,0.006758614,0.12507617,0.008517862,0.72463006,0.06512947,0.00032136144],"about_ca_topic_score_codex":0.002748376,"about_ca_topic_score_gemma":0.0024729278,"teacher_disagreement_score":0.01244091,"about_ca_system_score_codex":0.0019633726,"about_ca_system_score_gemma":0.00080729084,"threshold_uncertainty_score":0.041619003},"labels":[],"label_agreement":null},{"id":"W2782985071","doi":"10.5430/ijfr.v9n1p163","title":"Preferential Trade Agreements under Declining American Hegemony","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Elite Sociology and Global Capitalism","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hegemony; Economics; Democracy; Investment (military); International economics; International trade; Political science; Law","score_opus":0.18856332257726371,"score_gpt":0.5472526059014997,"score_spread":0.358689283324236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782985071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750242,0.00008856503,0.0015516463,0.00057833554,0.0000070277215,0.0000069669563,0.000027698436,0.0000070059873,0.022708574],"genre_scores_gemma":[0.9996549,0.000030615804,0.000048611233,0.000017614539,0.000004699784,0.0000018997284,0.000006200823,5.636523e-7,0.0002350539],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99893636,0.00030756317,0.000042352593,0.00015478555,0.000125571,0.00043341724],"domain_scores_gemma":[0.99017346,0.0036466308,0.0037143438,0.00059994136,0.00072666357,0.0011390593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026434562,0.00015989439,0.00029660566,0.00077297003,0.0009851631,0.0025244986,0.00031358865,0.00077561825,0.007670185],"category_scores_gemma":[0.011872108,0.000106347405,0.00026857015,0.00093955663,0.002514271,0.0019280997,0.0016381183,0.0011985552,0.00022895091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066530105,0.0002071549,0.20238778,0.000083458144,0.000110087036,0.000557757,0.0032225407,0.018291602,0.002304194,0.7379338,0.0013278545,0.032908473],"study_design_scores_gemma":[0.00025775764,0.0004490377,0.27934292,0.00009015422,0.00020071235,0.0003925321,0.009824638,0.039184775,0.001504362,0.6616218,0.007084129,0.000047184643],"about_ca_topic_score_codex":0.004154273,"about_ca_topic_score_gemma":0.0042994022,"teacher_disagreement_score":0.007670185,"about_ca_system_score_codex":0.0014961191,"about_ca_system_score_gemma":0.0011893156,"threshold_uncertainty_score":0.025659382},"labels":[],"label_agreement":null},{"id":"W2783235185","doi":"10.5430/ijfr.v9n1p189","title":"The Impact of Unsystematic Risk on Stock Returns in an Emerging Capital Markets (ECM’s) Country: An Empirical Study","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Systematic risk; Econometrics; Financial economics; Stock exchange; Emerging markets; Stock (firearms); Monetary economics; Finance","score_opus":0.12819555995869097,"score_gpt":0.43825970978769163,"score_spread":0.31006414982900066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783235185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991474,0.000117989184,0.00012175663,0.00006678206,0.0000026207545,0.000003288821,0.00013545871,0.0000020107689,0.00040256666],"genre_scores_gemma":[0.99934644,0.00011763761,0.00006269729,0.0000110356705,0.00000990992,0.0000014418923,0.00030284634,9.3005065e-7,0.00014709315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944466,0.00010789291,0.00009173762,0.00010759257,0.00013871929,0.00010936876],"domain_scores_gemma":[0.9903951,0.0023275395,0.0055289995,0.00043203053,0.0006466925,0.00066973444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011124526,0.00028209458,0.0002536647,0.0011378955,0.00031764532,0.001260224,0.00034446365,0.00058696984,0.001131773],"category_scores_gemma":[0.0050530247,0.00013456121,0.00042579367,0.0016392065,0.0005019435,0.0013333833,0.00080100895,0.0010419392,0.00023437013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020470412,0.0000358164,0.9973654,0.0000055292967,0.000036044574,0.00010653654,0.00008480324,0.0004789698,0.000047032914,0.00014947544,0.00006603438,0.0016039754],"study_design_scores_gemma":[0.0000016436605,0.00006496511,0.99596053,0.000009220412,0.000023491048,0.00009908256,0.0004172795,0.002907585,0.00011693521,0.00017117057,0.00022111101,0.0000069046173],"about_ca_topic_score_codex":0.0063561425,"about_ca_topic_score_gemma":0.009924721,"teacher_disagreement_score":0.0063561425,"about_ca_system_score_codex":0.00040608755,"about_ca_system_score_gemma":0.00038015388,"threshold_uncertainty_score":0.01263833},"labels":[],"label_agreement":null},{"id":"W2783540920","doi":"10.5430/ijfr.v9n1p203","title":"Financial Inclusion, Bank Competitiveness and Credit Risk of Commercial Banks in Kenya","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Financial system; Business; Financial intermediary; Credit history; Finance; Intermediation; Credit risk; Economics; Financial services","score_opus":0.0671776659230716,"score_gpt":0.35715240385569097,"score_spread":0.28997473793261935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783540920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827504,0.00018833576,0.0000375667,0.00016032503,0.0000012137718,0.0000062941403,0.000060762686,7.548586e-7,0.0012698045],"genre_scores_gemma":[0.9996971,0.00009596768,0.00002432124,0.00000915335,0.0000018864882,0.0000020153393,0.000026556003,2.1260348e-7,0.00014272155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939525,0.00018266786,0.000061484454,0.000055685858,0.00014295372,0.00016191689],"domain_scores_gemma":[0.9947408,0.0010815142,0.0031832594,0.00006604886,0.00030382883,0.0006246994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006826294,0.00017689588,0.00022211924,0.00089688465,0.0010203341,0.0016028259,0.00021608021,0.00041468441,0.0031096276],"category_scores_gemma":[0.0035379652,0.00013700042,0.00019323584,0.001198601,0.00061780185,0.0009488165,0.000958395,0.0005091691,0.00019368075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007080089,0.00010210663,0.99314886,0.000020495288,0.00002029116,0.0002259412,0.0010745802,0.00014521068,0.00012474625,0.00055312883,0.0001670544,0.004346896],"study_design_scores_gemma":[0.00000518795,0.00005463561,0.99413353,0.000048091853,0.000018710803,0.00018338488,0.004170009,0.00050690863,0.00009260934,0.00029019202,0.00048819574,0.000008618761],"about_ca_topic_score_codex":0.019585256,"about_ca_topic_score_gemma":0.03195997,"teacher_disagreement_score":0.019585256,"about_ca_system_score_codex":0.00091978366,"about_ca_system_score_gemma":0.0010666192,"threshold_uncertainty_score":0.038942516},"labels":[],"label_agreement":null},{"id":"W2783766805","doi":"10.5430/ijfr.v9n1p147","title":"Liquidity, Synergy and Winner-take-all Effect","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Balance sheet; Business; Loan; Intermediary; Liquidity risk; Cash; Balance (ability); Perspective (graphical); Financial intermediary; Financial system; Off-balance-sheet; Monetary economics; Finance; Economics; Computer science","score_opus":0.07615187448518702,"score_gpt":0.36746744797750236,"score_spread":0.29131557349231535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783766805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95448285,0.0025790136,0.011082139,0.002443297,0.00011622108,0.000057012374,0.00018772065,0.00018622498,0.028865576],"genre_scores_gemma":[0.9975509,0.00021854459,0.00038565794,0.000094928415,0.000027354557,0.0000073704723,0.000016504613,0.0000060579127,0.001692704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989033,0.0003184553,0.00006048106,0.0001998556,0.00018146716,0.00033640428],"domain_scores_gemma":[0.99291706,0.003183066,0.0015999883,0.00060658617,0.0003703668,0.0013229729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024161176,0.00035486,0.0013870233,0.00079521973,0.0008235261,0.0020080397,0.0006913244,0.001178227,0.014327203],"category_scores_gemma":[0.0073339,0.00023338138,0.0008101117,0.0003789649,0.0020330139,0.0022000922,0.0027754412,0.00095743715,0.00080829306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00859221,0.0015715075,0.07113113,0.0015815728,0.0016943964,0.005573829,0.0016832062,0.082635604,0.044230994,0.6338412,0.0138294455,0.13363498],"study_design_scores_gemma":[0.0012047583,0.0018913541,0.05583623,0.00011404476,0.0008495742,0.0016162713,0.0013960329,0.05335283,0.0060036727,0.87065303,0.006889954,0.00019222172],"about_ca_topic_score_codex":0.00054056855,"about_ca_topic_score_gemma":0.00051019783,"teacher_disagreement_score":0.014327203,"about_ca_system_score_codex":0.0006398055,"about_ca_system_score_gemma":0.0008248841,"threshold_uncertainty_score":0.047929227},"labels":[],"label_agreement":null},{"id":"W2785700514","doi":"10.5430/ijfr.v9n1p219","title":"Impulse of Dividend Payment Decision: Evidence from Pharmaceutical Industry in Bangladesh","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Dividend payout ratio; Agency cost; Leverage (statistics); Profitability index; Dividend policy; Dividend; Business; Dividend yield; Payment; Principal–agent problem; Shareholder; Variables; Multicollinearity; Econometrics; Actuarial science; Economics; Regression analysis; Finance; Corporate governance; Statistics; Mathematics","score_opus":0.1647202381814443,"score_gpt":0.4341134873842738,"score_spread":0.2693932492028295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785700514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971042,0.00027425398,0.00003295606,0.0002370794,0.000001399884,0.0000070128503,0.0002758635,0.0000010262889,0.0020662693],"genre_scores_gemma":[0.9986777,0.0003515975,0.00002912071,0.00003698523,0.0000031468792,0.000002776163,0.00023517036,6.6841557e-7,0.0006628602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948263,0.000118286145,0.00007002737,0.00007740243,0.00014923152,0.0001024231],"domain_scores_gemma":[0.995214,0.0015511743,0.0021798636,0.00014058527,0.0005254055,0.00038891635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058556424,0.00016233114,0.0001527644,0.00084079884,0.00048813253,0.0009447567,0.0002752967,0.0005023051,0.0039994176],"category_scores_gemma":[0.0029375383,0.00016149883,0.00020971628,0.0012710474,0.00042202784,0.00051150797,0.0005031619,0.0005329939,0.0006755341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012673542,0.00011864592,0.9888841,0.000068170506,0.00002950929,0.00042813775,0.0018252556,0.00013844656,0.00046749983,0.0002675722,0.00037117803,0.007274722],"study_design_scores_gemma":[0.000006607385,0.00009163657,0.9937955,0.000032869608,0.000015733904,0.00013591397,0.0042798384,0.00021767555,0.00025785324,0.00011005463,0.0010478128,0.00000841891],"about_ca_topic_score_codex":0.022526523,"about_ca_topic_score_gemma":0.043290246,"teacher_disagreement_score":0.022526523,"about_ca_system_score_codex":0.000876859,"about_ca_system_score_gemma":0.00071145914,"threshold_uncertainty_score":0.044790804},"labels":[],"label_agreement":null},{"id":"W2785919160","doi":"10.5430/ijfr.v9n1p226","title":"Test of Linkage between Governance Style and National Economic Indices","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Corporate governance; Stock exchange; Stock market; China; Exchange rate; Capital market; Politics; Emerging markets; Stock market index; Opposition (politics); Macroeconomics; Monetary economics; Finance; Political science; Geography","score_opus":0.076864726842207,"score_gpt":0.36455229258305033,"score_spread":0.2876875657408433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785919160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951887,0.00006927898,0.0003400952,0.00008581892,0.000009570647,0.000017783186,0.0003866399,0.000008785677,0.0038933025],"genre_scores_gemma":[0.99882644,0.000029358212,0.0001323038,0.000010929918,0.0000085033025,0.000016142112,0.00043422633,0.0000029260368,0.00053916976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998744,0.00042165117,0.00011947563,0.00026143354,0.00020860202,0.00024480838],"domain_scores_gemma":[0.9826909,0.009996482,0.0041001067,0.00089705735,0.0008114868,0.0015040516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017507876,0.00027677152,0.00031084305,0.0013971825,0.00031276548,0.00091482286,0.0003944989,0.00056902046,0.0075929416],"category_scores_gemma":[0.008938926,0.00015176913,0.000570116,0.0013155043,0.00048810925,0.000805933,0.0009604901,0.0010322713,0.00079384446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092707916,0.00011561103,0.9966372,0.000009250324,0.00012508154,0.000050725244,0.00012980931,0.00017053809,0.00013156889,0.00029038676,0.0001559772,0.002091032],"study_design_scores_gemma":[0.000006629837,0.00025057432,0.9965089,0.000008700962,0.000056275363,0.000056140605,0.00058936496,0.0016982324,0.00015590567,0.00028586268,0.00037873557,0.0000047299864],"about_ca_topic_score_codex":0.0018265384,"about_ca_topic_score_gemma":0.0012388987,"teacher_disagreement_score":0.0075929416,"about_ca_system_score_codex":0.0002869818,"about_ca_system_score_gemma":0.00047005602,"threshold_uncertainty_score":0.025400937},"labels":[],"label_agreement":null},{"id":"W2785974306","doi":"10.5430/ijfr.v9n2p1","title":"The Global Single and Regulated Market Framework of Financial Products and the International Economic Policies: Mathematical Approach of the Model","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Market liquidity; Financial market; Capital market; Financial regulation; Business; Economics; Point (geometry); Finance; Industrial organization","score_opus":0.047334349205663935,"score_gpt":0.31664556374703473,"score_spread":0.2693112145413708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785974306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030510297,0.0024143602,0.70647573,0.014424312,0.00038604942,0.000119926415,0.0005378482,0.00017845619,0.24495307],"genre_scores_gemma":[0.8102297,0.007236437,0.09734956,0.0019482598,0.000981558,0.00089050876,0.00033640943,0.00015123632,0.080876395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991221,0.00040922372,0.000024740568,0.00015902494,0.00017789596,0.00010693651],"domain_scores_gemma":[0.99884725,0.0005805615,0.00020457109,0.00011620358,0.00015736054,0.00009401913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001784085,0.0009974764,0.0010333986,0.0013005245,0.00094449264,0.0034962161,0.0018518426,0.0027700542,0.008004729],"category_scores_gemma":[0.0032149388,0.0004653439,0.0012497433,0.001322339,0.003858555,0.006469166,0.0016885936,0.002546924,0.001287812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002211934,0.000007558717,0.000040190796,0.0000109450075,0.0000043564605,0.000015662908,0.000023104672,0.01638091,0.000047649344,0.9822939,0.0005767584,0.0005966453],"study_design_scores_gemma":[0.000017939627,0.000022958922,0.00012924134,0.00003351388,0.000011141093,0.000051846066,0.00005922994,0.13178086,0.000055325858,0.8607131,0.0071103596,0.000014466552],"about_ca_topic_score_codex":0.0043480597,"about_ca_topic_score_gemma":0.002005991,"teacher_disagreement_score":0.008004729,"about_ca_system_score_codex":0.002762476,"about_ca_system_score_gemma":0.0021886283,"threshold_uncertainty_score":0.02677846},"labels":[],"label_agreement":null},{"id":"W2789461569","doi":"10.5430/ijfr.v9n2p122","title":"Applying the Theory of Planned Behaviour (TPB) in Saving Behaviour of Pomak Households","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Theory of planned behavior; Control (management); Order (exchange); Norm (philosophy); Path analysis (statistics); Psychology; Social psychology; Economics; Statistics; Mathematics; Finance; Political science","score_opus":0.059497090184195925,"score_gpt":0.3452997220645998,"score_spread":0.2858026318804039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789461569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62953454,0.0016842727,0.32038546,0.0047096247,0.00031031913,0.0021998312,0.0005495486,0.0001698267,0.04045658],"genre_scores_gemma":[0.9712526,0.0005230949,0.026383068,0.00021315074,0.000026292064,0.0008273213,0.00009254861,0.000006016807,0.00067598774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960525,0.0029924433,0.00012685098,0.0003174063,0.0003473169,0.00016346562],"domain_scores_gemma":[0.9891121,0.009256694,0.0008391014,0.00026094765,0.00037647883,0.00015480215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051015294,0.0004979069,0.0005103715,0.0016566379,0.00052104046,0.0013709487,0.00049404934,0.0009183532,0.0018854907],"category_scores_gemma":[0.012094299,0.00030831574,0.00086264685,0.001221883,0.0014363664,0.001387923,0.00074409245,0.0011380261,0.000154738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005380364,0.0020167122,0.38497803,0.0020313319,0.00079715636,0.0019682301,0.03351769,0.06934518,0.0016330462,0.27933675,0.0021935739,0.2216443],"study_design_scores_gemma":[0.0003096688,0.0034436926,0.36450264,0.0016282032,0.00057340116,0.0015414804,0.021068642,0.19355744,0.0012416225,0.3961917,0.015702548,0.00023900204],"about_ca_topic_score_codex":0.0060667563,"about_ca_topic_score_gemma":0.005728405,"teacher_disagreement_score":0.0060667563,"about_ca_system_score_codex":0.0019141437,"about_ca_system_score_gemma":0.0025346302,"threshold_uncertainty_score":0.026979804},"labels":[],"label_agreement":null},{"id":"W2790092368","doi":"10.5430/ijfr.v9n2p39","title":"Risk Analysis of World Major Stock Index Before and After the 2008 Financial Crisis – Based on GARCH-VaR Approach","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Volatility (finance); Stock market index; Stock market; Stock (firearms); Economics; Autoregressive conditional heteroskedasticity; Subprime mortgage crisis; Financial market; Index (typography); Financial system; Financial economics; Monetary economics; Finance; Macroeconomics; Geography","score_opus":0.03299318166065332,"score_gpt":0.3138116052973101,"score_spread":0.28081842363665677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790092368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910607,0.00042536555,0.0052935276,0.00024390887,0.00003177077,0.00001681524,0.00058945204,0.00008451892,0.0022538875],"genre_scores_gemma":[0.9977222,0.0001559375,0.00062851893,0.000015770363,0.000020189136,0.0000074143795,0.00080326985,0.000008398773,0.00063816854],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965346,0.000046130026,0.000029787874,0.00009722358,0.00011263504,0.000060728267],"domain_scores_gemma":[0.9995117,0.0001309886,0.00012399821,0.0000386,0.00014630445,0.000048370108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008036903,0.0004565008,0.00042847855,0.0013111089,0.00023586937,0.00092708506,0.00040067983,0.00043424722,0.0008953063],"category_scores_gemma":[0.0018031013,0.00019171937,0.00063936505,0.0009079008,0.0002056465,0.0008004988,0.0003806901,0.00058052037,0.00019223758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005978998,0.00020392085,0.6497199,0.00016374346,0.0006284326,0.0028554578,0.00068412727,0.25475845,0.010976231,0.012078778,0.0066518704,0.06068107],"study_design_scores_gemma":[0.000018177201,0.00012041702,0.34032077,0.000020297635,0.00011409752,0.00023968896,0.0002115161,0.6531427,0.0023854272,0.0020789248,0.0012794785,0.000068539746],"about_ca_topic_score_codex":0.014760061,"about_ca_topic_score_gemma":0.008070549,"teacher_disagreement_score":0.014760061,"about_ca_system_score_codex":0.00060148444,"about_ca_system_score_gemma":0.00038660792,"threshold_uncertainty_score":0.029348254},"labels":[],"label_agreement":null},{"id":"W2790459413","doi":"10.5430/ijfr.v9n2p55","title":"Empirical Estimates for how Changes in China’s Foreign Reserves Are Hurting Chinese Exports and Helping US Exports","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Foreign-exchange reserves; Liberian dollar; Renminbi; Economics; Exchange rate; Falling (accident); Value (mathematics); International economics; Us dollar; International trade; Monetary economics; Geography; Finance","score_opus":0.20610250280090298,"score_gpt":0.39337161237957213,"score_spread":0.18726910957866916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790459413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845189,0.0007906376,0.004106467,0.0016551983,0.000030333047,0.000024606372,0.0020970232,0.0001107844,0.006666204],"genre_scores_gemma":[0.9941764,0.0006209419,0.0008774243,0.000104255756,0.000038452876,0.00002273231,0.0021596723,0.000013872996,0.0019863318],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966156,0.00010301898,0.00003748076,0.000077962104,0.00007051468,0.000049324226],"domain_scores_gemma":[0.9905357,0.005363368,0.0027949677,0.00042577443,0.0006193658,0.00026087728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019625616,0.0003849361,0.00030362487,0.0015127452,0.0002288837,0.0012350578,0.000356388,0.0003990841,0.004183116],"category_scores_gemma":[0.013431054,0.00029196736,0.0007249401,0.0013936941,0.0006371539,0.0011417152,0.00046991467,0.0009762206,0.000575195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057871715,0.00006625578,0.93799734,0.00009141815,0.0003283628,0.0002086998,0.00028427842,0.03162568,0.00027491397,0.0058747083,0.0036243564,0.019566108],"study_design_scores_gemma":[0.000044583598,0.00012456648,0.9207813,0.000120651086,0.00032319143,0.00015733692,0.0011738936,0.0658151,0.00081468973,0.0045232903,0.0060809185,0.000040329734],"about_ca_topic_score_codex":0.017359845,"about_ca_topic_score_gemma":0.010959623,"teacher_disagreement_score":0.017359845,"about_ca_system_score_codex":0.0006513434,"about_ca_system_score_gemma":0.0008381371,"threshold_uncertainty_score":0.034517586},"labels":[],"label_agreement":null},{"id":"W2790821733","doi":"10.5430/ijfr.v9n2p172","title":"Heir to the Throne: Choice of the Replacement CEO After Unexpected CEO Turnovers","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shareholder; Business; Accounting; Position (finance); Stock (firearms); Stock options; Corporate governance; Finance","score_opus":0.04791512853380459,"score_gpt":0.3415210746143207,"score_spread":0.2936059460805161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790821733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851626,0.00012890926,0.00024087024,0.00020889443,0.000011208126,0.000004748635,0.000023331155,0.000002358346,0.0008633487],"genre_scores_gemma":[0.9991999,0.00003604072,0.00007516024,0.000032702075,0.00000924474,0.0000016641222,0.000028630446,9.751257e-7,0.00061571767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902606,0.00036638984,0.000053433625,0.00010560625,0.00014140777,0.00030711794],"domain_scores_gemma":[0.9863366,0.0047355774,0.005839655,0.00030603845,0.0005120153,0.002270119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023520968,0.00012102793,0.0002805823,0.00038111783,0.0005472278,0.0016757684,0.00040372336,0.00079670566,0.0043400424],"category_scores_gemma":[0.013586034,0.00011576161,0.00019397885,0.0002038658,0.00040342793,0.0006808875,0.00047639894,0.0009092349,0.0006778603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018049849,0.00067696907,0.956848,0.000037852562,0.00006357668,0.0010787897,0.0012690296,0.002278405,0.0024041254,0.0013206068,0.0009357804,0.031282008],"study_design_scores_gemma":[0.00008226705,0.00077358284,0.9822481,0.000031071766,0.000053790314,0.000465959,0.0056278543,0.005953534,0.0012974777,0.0016565669,0.0017678584,0.00004188411],"about_ca_topic_score_codex":0.0034190286,"about_ca_topic_score_gemma":0.007099288,"teacher_disagreement_score":0.0043400424,"about_ca_system_score_codex":0.0005916909,"about_ca_system_score_gemma":0.00058186287,"threshold_uncertainty_score":0.014518917},"labels":[],"label_agreement":null},{"id":"W2791091406","doi":"10.5430/ijfr.v9n2p105","title":"Volatility Spillover Analysis Post Implementation of AEC 2015 Agreement: Empirical Study on ASEAN-5 Stock Market","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock market; Stock (firearms); Spillover effect; Volatility (finance); Indonesian; Capital market; Business; Economics; Stock market bubble; Financial integration; Autoregressive conditional heteroskedasticity; Financial economics; Financial market; International economics; Finance; Macroeconomics; Geography","score_opus":0.3195440619382901,"score_gpt":0.6179185116402468,"score_spread":0.2983744497019567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791091406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987883,0.00004906097,0.00006521621,0.00007132763,0.000003383335,0.000008474644,0.000091466994,0.000002359103,0.00092044444],"genre_scores_gemma":[0.99885607,0.000078013705,0.000069278394,0.000027537913,0.000015905029,0.000010032794,0.00041656062,8.3595097e-7,0.0005257608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995431,0.000091378075,0.000047905745,0.000069774076,0.00015912774,0.00008885118],"domain_scores_gemma":[0.99624485,0.0009948884,0.0014943378,0.00023343874,0.0006316885,0.0004006887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013600781,0.00016387047,0.00026110292,0.00081311236,0.00046094824,0.0010069262,0.00027260935,0.00044129606,0.002199953],"category_scores_gemma":[0.0033539825,0.00008840546,0.00037824773,0.00079627836,0.00024371616,0.0008530156,0.0006107326,0.00086321705,0.0003075061],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032099872,0.0009138798,0.97407013,0.000045000754,0.000115023104,0.0010175036,0.0011791964,0.0022127496,0.0011603435,0.0008908956,0.001424596,0.016649758],"study_design_scores_gemma":[0.00000865687,0.0002109218,0.99281013,0.0000151460745,0.000035245543,0.00008923005,0.0013314037,0.004298913,0.00045384956,0.00015395516,0.00058012654,0.00001227368],"about_ca_topic_score_codex":0.009242976,"about_ca_topic_score_gemma":0.008085695,"teacher_disagreement_score":0.009242976,"about_ca_system_score_codex":0.00059257186,"about_ca_system_score_gemma":0.0006842454,"threshold_uncertainty_score":0.018378377},"labels":[],"label_agreement":null},{"id":"W2791141196","doi":"10.5430/ijfr.v9n2p134","title":"Board Rudiments and the Executive Attitude Towards Corporate Risk-Taking","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Optimal distinctiveness theory; Assertiveness; Sample (material); Accounting; Business; Corporate governance; Executive compensation; Empirical evidence; Marketing; Social psychology; Psychology; Finance","score_opus":0.08297365527449592,"score_gpt":0.34915332213849565,"score_spread":0.26617966686399974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791141196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998995,0.0000529835,0.000051438412,0.000036681773,0.0000018339784,0.0000025848103,0.000006524989,0.0000013257356,0.00085159997],"genre_scores_gemma":[0.99967265,0.000035597266,0.00004578493,0.000011509467,0.0000052281316,0.0000012382048,0.000014846353,4.1099034e-7,0.00021266897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990746,0.0003712415,0.00008093575,0.000081865124,0.00026018766,0.0001310316],"domain_scores_gemma":[0.9738951,0.007050113,0.014797788,0.0008935875,0.0006997831,0.0026636994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014198384,0.00019697081,0.00017271806,0.00055849296,0.00033459967,0.0010276209,0.00016759936,0.00040588263,0.0023734923],"category_scores_gemma":[0.010081975,0.00011515299,0.00023340898,0.00027893635,0.000604209,0.00035470675,0.00064712553,0.0008064286,0.00023452278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011543273,0.00019220992,0.9919592,0.000011376527,0.000051097624,0.000096882504,0.0008817304,0.00009498028,0.00069905876,0.00009126788,0.000043068256,0.0057637524],"study_design_scores_gemma":[0.0000017909834,0.000101949016,0.99878055,0.00000514219,0.000008382879,0.00007853195,0.0006432733,0.00009234002,0.00009446393,0.00006780939,0.000121700774,0.0000040753166],"about_ca_topic_score_codex":0.0009795752,"about_ca_topic_score_gemma":0.002122955,"teacher_disagreement_score":0.0023734923,"about_ca_system_score_codex":0.00027053256,"about_ca_system_score_gemma":0.00020368841,"threshold_uncertainty_score":0.007940114},"labels":[],"label_agreement":null},{"id":"W2791906415","doi":"10.5430/ijfr.v9n2p165","title":"Derivation Funds Management and Economic Development of Nigeria: Evidence From Niger Delta States of Nigeria","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ordinary least squares; Niger delta; Embezzlement; World Development Indicators; Descriptive statistics; Allowance (engineering); Economics; Delta; Business; Economic growth; Development economics; Developing country; Operations management; Statistics; Mathematics; Econometrics; Political science; Engineering","score_opus":0.09795055940406326,"score_gpt":0.3414277638625801,"score_spread":0.24347720445851684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791906415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958845,0.0014122683,0.000023612312,0.00032598374,0.000005357481,0.0000049093474,0.00011817332,4.6362322e-7,0.0022247487],"genre_scores_gemma":[0.9972349,0.0023316953,0.000040435738,0.000034839104,0.000002903656,0.0000026735297,0.000079202626,3.7942448e-7,0.00027305618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998404,0.0000574551,0.000022404543,0.000015586094,0.000025138197,0.000038949394],"domain_scores_gemma":[0.9989435,0.00037617158,0.00044903264,0.000025348938,0.0001257236,0.00008018196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038832106,0.00011663538,0.00012456259,0.00082151033,0.00053551915,0.00089049817,0.00011372923,0.00018820686,0.0009446497],"category_scores_gemma":[0.0012934413,0.00012574164,0.00007804559,0.0013200131,0.0005050284,0.0005133746,0.0005743473,0.00029948752,0.00008034993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008623474,0.000081731414,0.97225237,0.00030352775,0.000029171988,0.0013648112,0.0064295237,0.0002361684,0.00031332232,0.0023234372,0.0006294984,0.01595022],"study_design_scores_gemma":[0.000005765498,0.000040972198,0.9608606,0.0006587762,0.000047146797,0.00041246775,0.03115842,0.0002629226,0.00034822684,0.00046067536,0.005734847,0.0000090930225],"about_ca_topic_score_codex":0.032466356,"about_ca_topic_score_gemma":0.078975834,"teacher_disagreement_score":0.032466356,"about_ca_system_score_codex":0.0007202973,"about_ca_system_score_gemma":0.0012809444,"threshold_uncertainty_score":0.06455475},"labels":[],"label_agreement":null},{"id":"W2793183513","doi":"10.5430/ijfr.v9n2p23","title":"Measuring Determinants and Effects of Firms’ Financial Structure in a Deleverage Setting: Evidence From Italy","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Profitability index; Debt ratio; Leverage (statistics); Debt-to-capital ratio; Monetary economics; Return on equity; Debt; Cash flow; Economics; Business; Financial system; Equity (law); Debt-to-equity ratio; Equity ratio; Finance","score_opus":0.05663595533866563,"score_gpt":0.3216044537934192,"score_spread":0.26496849845475356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793183513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970831,0.00040687516,0.00006408732,0.00036922956,0.0000029369717,0.000007543346,0.00017166905,0.000004322997,0.0018902598],"genre_scores_gemma":[0.99925333,0.00016466307,0.000030251893,0.000036556128,0.000015351221,0.0000029653515,0.00028840872,0.0000015143021,0.0002069261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908686,0.00040011058,0.00004256501,0.0001704885,0.00012700938,0.00017301828],"domain_scores_gemma":[0.9931084,0.0017908983,0.003885872,0.00046087356,0.00027467657,0.0004793465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011201287,0.0002420673,0.00024469383,0.0007680488,0.00035180096,0.0011419898,0.00044997357,0.00050124136,0.0019228733],"category_scores_gemma":[0.004308559,0.00016604322,0.00037610455,0.0009210005,0.0009935678,0.00036938832,0.00082053745,0.0006516001,0.0004247443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014169424,0.00016179458,0.99195707,0.00003630073,0.000100996374,0.00034552225,0.00053522753,0.00037716617,0.0002746013,0.00042817876,0.0008002721,0.0048410995],"study_design_scores_gemma":[0.000007714479,0.000052934418,0.99895513,0.0000086034,0.00002486733,0.00006992103,0.00018763408,0.00020216408,0.000045148583,0.000041243613,0.00040147122,0.0000031159625],"about_ca_topic_score_codex":0.02450193,"about_ca_topic_score_gemma":0.02825944,"teacher_disagreement_score":0.02450193,"about_ca_system_score_codex":0.0006958764,"about_ca_system_score_gemma":0.00035367924,"threshold_uncertainty_score":0.04871863},"labels":[],"label_agreement":null},{"id":"W2793372229","doi":"10.5430/ijfr.v9n2p31","title":"Teaching Tax Law: Undergraduates’ Thoughts Regarding the Implementation of Six Thinking Hats Technique","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Creativity; Perspective (graphical); Process (computing); Mathematics education; Psychology; Creative thinking; Critical thinking; Computer science; Social psychology","score_opus":0.06012244827263741,"score_gpt":0.4829243935817467,"score_spread":0.4228019453091093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793372229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99371594,0.00029153193,0.0009278107,0.002224081,0.00006992117,0.000043437572,0.000009961746,0.000019848687,0.0026976084],"genre_scores_gemma":[0.996238,0.00036313062,0.00057004055,0.00090225815,0.000024800236,0.000016612008,0.000007941901,0.00000553301,0.0018716925],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9976768,0.0012104189,0.00009725822,0.00014872797,0.00049953983,0.00036730026],"domain_scores_gemma":[0.99252534,0.0031229656,0.0010924084,0.00019818846,0.0009059934,0.0021550867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042385855,0.00023156583,0.0002465862,0.00055292144,0.002156565,0.0028135332,0.00044839745,0.0013023106,0.001215246],"category_scores_gemma":[0.011664445,0.0002594292,0.00028370778,0.00032715296,0.003468557,0.0016639711,0.0016403705,0.0030137487,0.00028340175],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001428276,0.00085547165,0.051866565,0.00020416423,0.000016999014,0.0017771648,0.8875408,0.00018383835,0.008760945,0.0021503016,0.00308018,0.043420766],"study_design_scores_gemma":[0.000028090191,0.0010872618,0.049166482,0.00018430705,0.000025965335,0.0009985481,0.91828907,0.00067875406,0.0027704153,0.0010502296,0.025631377,0.00008940412],"about_ca_topic_score_codex":0.0022676478,"about_ca_topic_score_gemma":0.0041540535,"teacher_disagreement_score":0.0042385855,"about_ca_system_score_codex":0.0013320614,"about_ca_system_score_gemma":0.0015899424,"threshold_uncertainty_score":0.022416055},"labels":[],"label_agreement":null},{"id":"W2793828523","doi":"10.5430/ijfr.v9n2p76","title":"Transparency and Accountability in Public Financial Management: A Stewardship Account at Kano State Ministry of Finance, Nigeria","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accountability; Transparency (behavior); Revenue; Accounting; Public sector; Business; Stewardship (theology); Finance; Economics; Public relations; Public administration; Political science; Economy; Law","score_opus":0.10772378719499616,"score_gpt":0.3518182207911877,"score_spread":0.24409443359619154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793828523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261743,0.003509582,0.0004667137,0.034395907,0.00025305577,0.000040955874,0.000045479388,0.000018346373,0.035095654],"genre_scores_gemma":[0.99096113,0.0016720427,0.00020498186,0.0012311873,0.00003931326,0.0000060030316,0.000011718714,0.0000084111025,0.0058652586],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9985519,0.00053825404,0.00011436034,0.00011739453,0.0003280779,0.0003499319],"domain_scores_gemma":[0.99444866,0.002499775,0.0015006097,0.00018435638,0.00065228686,0.0007144467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037295404,0.0000951321,0.0001312475,0.0005801138,0.0075372644,0.006143965,0.00023075718,0.0015409815,0.00197612],"category_scores_gemma":[0.005761186,0.00025302582,0.00007499855,0.0012786716,0.0016830844,0.0039728186,0.0015547444,0.0026536135,0.00015754618],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034882096,0.0003321733,0.21145761,0.0007708838,0.000036110738,0.011786058,0.47113326,0.000966916,0.0055077453,0.12601039,0.048980247,0.122669816],"study_design_scores_gemma":[0.000012560739,0.00015676417,0.25254378,0.0011305334,0.000042168063,0.0020746023,0.4635353,0.001766685,0.0026054718,0.007767142,0.26827037,0.00009456407],"about_ca_topic_score_codex":0.018263342,"about_ca_topic_score_gemma":0.033879835,"teacher_disagreement_score":0.018263342,"about_ca_system_score_codex":0.0054995404,"about_ca_system_score_gemma":0.008537591,"threshold_uncertainty_score":0.03990215},"labels":[],"label_agreement":null},{"id":"W2793833712","doi":"10.5430/ijfr.v9n2p96","title":"Empirical Assessment of Factors Influencing Corporate Performance of China’s Independent Brand Automobile Companies","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Profit margin; China; Automotive industry; Profit (economics); Operating margin; Industrial organization; Marketing; Profitability index; Economics; Finance; Return on assets","score_opus":0.15813901119960738,"score_gpt":0.39766129342778195,"score_spread":0.23952228222817457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793833712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987835,0.000057771304,0.000026132882,0.000040070096,0.0000015558333,0.00000750074,0.00019624652,0.0000018414761,0.00088532164],"genre_scores_gemma":[0.9993788,0.000045941066,0.0000284953,0.00000713861,0.0000037231234,0.000004219696,0.00032996596,4.704353e-7,0.00020122534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922657,0.00008753416,0.00010230627,0.00010862379,0.00030104007,0.00017396081],"domain_scores_gemma":[0.994152,0.00092029414,0.002474498,0.00024986014,0.0012881946,0.00091501005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010690321,0.00030189444,0.0002094453,0.0024832084,0.00062034954,0.0010947457,0.0003496469,0.00032590746,0.0014297264],"category_scores_gemma":[0.0027335628,0.00015137067,0.00040174022,0.0026954073,0.0005260046,0.00051379536,0.00059698586,0.0003316161,0.00026915307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036297652,0.000011427311,0.9988637,0.0000028545016,0.000011107949,0.000033599164,0.00010888029,0.000053982163,0.000040007864,0.000018786066,0.00006354026,0.0007885111],"study_design_scores_gemma":[4.3233825e-7,0.000010252886,0.9992822,0.0000022931058,0.000004381261,0.000011915603,0.00033901096,0.0002028269,0.000035101755,0.000006086394,0.000103728285,0.0000017258058],"about_ca_topic_score_codex":0.029864071,"about_ca_topic_score_gemma":0.038499158,"teacher_disagreement_score":0.029864071,"about_ca_system_score_codex":0.0012015881,"about_ca_system_score_gemma":0.0010717395,"threshold_uncertainty_score":0.05938047},"labels":[],"label_agreement":null},{"id":"W2793922568","doi":"10.5430/ijfr.v9n2p90","title":"The Fourth Industrial Revolution: Opportunities and Challenges","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":1105,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Industrial Revolution; Information revolution; Agrarian society; Steam engine; Industrial production; Digital Revolution; Agricultural revolution; Miller; Technological revolution; Production (economics); Economy; Business; Engineering; Economics; Political science; History; Agriculture; Telecommunications; Law","score_opus":0.3049528934257995,"score_gpt":0.3625015655350705,"score_spread":0.057548672109271004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793922568","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057514384,0.04207189,0.005126052,0.51917225,0.0053212405,0.000083872765,0.00016135385,0.0001807515,0.37036827],"genre_scores_gemma":[0.8211425,0.049440917,0.0076514003,0.037259784,0.0047947792,0.00022790613,0.00023534302,0.00013870507,0.07910869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99567634,0.0014187938,0.00012681432,0.00027303482,0.0011172115,0.0013878413],"domain_scores_gemma":[0.99575496,0.0013922628,0.00050649873,0.00033923835,0.00072083547,0.001286185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067283823,0.0005176031,0.0005303998,0.0018811006,0.0069373506,0.014352233,0.0014099958,0.004122181,0.009787203],"category_scores_gemma":[0.0059331725,0.00025701846,0.00071450754,0.0018724514,0.011274188,0.0134548005,0.010343502,0.0072821174,0.0018994181],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043887663,0.00009013241,0.0013089429,0.00014958672,0.000005656154,0.00031806433,0.004830743,0.00021075967,0.00014280187,0.87821025,0.04760764,0.0670816],"study_design_scores_gemma":[0.000021950156,0.00006552838,0.0023153508,0.0004878015,0.0000059181125,0.00039100597,0.017121656,0.00048677129,0.00024277084,0.2830212,0.6957954,0.00004468289],"about_ca_topic_score_codex":0.0037483717,"about_ca_topic_score_gemma":0.0038366145,"teacher_disagreement_score":0.014352233,"about_ca_system_score_codex":0.006956871,"about_ca_system_score_gemma":0.010043741,"threshold_uncertainty_score":0.050475895},"labels":[],"label_agreement":null},{"id":"W2793982723","doi":"10.5430/ijfr.v9n2p112","title":"SME Development Banks: Conceptual Framework and Empirical Analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Conceptual framework; Set (abstract data type); Business; Conceptual model; The Conceptual Framework; Empirical research; Computer science; Sociology; Statistics; Mathematics","score_opus":0.10993998453215435,"score_gpt":0.3940685629302611,"score_spread":0.28412857839810673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793982723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.539034,0.01851089,0.2788549,0.04088099,0.00021634671,0.0022789736,0.0061351573,0.00028576035,0.113803014],"genre_scores_gemma":[0.95335394,0.0034512302,0.036253743,0.0013709978,0.0001438234,0.0017281595,0.001574067,0.000017339175,0.0021066158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99602866,0.002305603,0.00022871728,0.00045775488,0.0005449914,0.0004343115],"domain_scores_gemma":[0.9820419,0.01229323,0.0027164477,0.0004024904,0.0014880598,0.0010578553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0078040063,0.00068501564,0.0010504408,0.008447121,0.0019658604,0.0074781952,0.0018567991,0.0028024416,0.008805139],"category_scores_gemma":[0.015602584,0.00059575104,0.0007437383,0.012970882,0.005308392,0.005199266,0.0031369957,0.0025483465,0.00071241375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045040044,0.00023535217,0.058021598,0.0003382223,0.000045765246,0.00024897102,0.003026588,0.004553458,0.00014082406,0.91684407,0.0036046933,0.012895412],"study_design_scores_gemma":[0.00018027065,0.00027803075,0.09779005,0.002856551,0.00015910924,0.0012445464,0.039156377,0.062210973,0.00045453548,0.74063706,0.054877378,0.00015521374],"about_ca_topic_score_codex":0.008681581,"about_ca_topic_score_gemma":0.0052706082,"teacher_disagreement_score":0.008805139,"about_ca_system_score_codex":0.0047847675,"about_ca_system_score_gemma":0.005080158,"threshold_uncertainty_score":0.041272044},"labels":[],"label_agreement":null},{"id":"W2794248160","doi":"10.5430/ijfr.v9n2p64","title":"Financial Constraints and Financial Crises: The Case of Portuguese Listed Companies","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finance; Panel data; Cash flow; Financial crisis; Business; Financial ratio; Dividend; Index (typography); Sample (material); Financial analysis; Portuguese; Investment (military); Financial system; Economics; Econometrics","score_opus":0.07813487427767163,"score_gpt":0.3547499466736515,"score_spread":0.2766150723959799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794248160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689937,0.00053445913,0.000054373955,0.00065747055,0.000003443153,0.000006920115,0.00014482765,0.0000010703012,0.0016980765],"genre_scores_gemma":[0.9991393,0.0004930652,0.00003426532,0.000042391548,0.000010745486,0.0000053506865,0.00012919368,9.661028e-7,0.00014467956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993586,0.00022777189,0.00004072229,0.000051658037,0.000079325364,0.00024186078],"domain_scores_gemma":[0.99377465,0.0025097707,0.002715567,0.00013052857,0.00028804727,0.0005814238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228958,0.00022358556,0.00034383603,0.0017540199,0.00089236343,0.0022269587,0.00043041634,0.0012095746,0.0018634623],"category_scores_gemma":[0.0070028077,0.00019460836,0.0002791971,0.0028792007,0.0006949887,0.0013029644,0.0010944903,0.0008715172,0.0001340703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034718576,0.0004410492,0.9597831,0.00014393435,0.00008149394,0.011286881,0.007725208,0.0024542056,0.00030386687,0.0034668285,0.0016520965,0.012314071],"study_design_scores_gemma":[0.000029228782,0.00013048101,0.9481804,0.00021855062,0.000053493408,0.0024890462,0.03852792,0.0055046156,0.00020712489,0.0014624501,0.0031681042,0.000028619908],"about_ca_topic_score_codex":0.036916092,"about_ca_topic_score_gemma":0.030716307,"teacher_disagreement_score":0.036916092,"about_ca_system_score_codex":0.0010961216,"about_ca_system_score_gemma":0.0009543748,"threshold_uncertainty_score":0.073402405},"labels":[],"label_agreement":null},{"id":"W2794358672","doi":"10.5430/ijfr.v9n2p150","title":"Principal Components-based Investigative Study of Counter Measures to Financial Crimes","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Respondent; Goodwill; Finance; Politics; Corporate governance; Business; Thriving; Accounting; Actuarial science; Economics; Political science; Sociology; Law; Social science","score_opus":0.2198891329936097,"score_gpt":0.4712041568216036,"score_spread":0.25131502382799387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794358672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881294,0.00007558466,0.0051693744,0.00012770024,0.000016534412,0.0004645428,0.00009949242,0.000023265791,0.005894211],"genre_scores_gemma":[0.9922197,0.00010968214,0.006749358,0.000011041874,0.0000075242765,0.00023971409,0.00011876422,0.0000043868667,0.00053982856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99623376,0.002051964,0.00027111545,0.00018242895,0.0010892184,0.00017151138],"domain_scores_gemma":[0.99170893,0.004500606,0.0015400588,0.00040215105,0.0016595322,0.00018872129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003904035,0.00047442358,0.00040351425,0.003748605,0.00091196044,0.0017436685,0.00042996116,0.00024954494,0.0014999106],"category_scores_gemma":[0.011927524,0.00021235539,0.000585735,0.0038768179,0.0009465733,0.0005630884,0.00075036474,0.0006758486,0.00013426642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029902632,0.001171425,0.76435673,0.0004199914,0.00041935142,0.0003369116,0.03579633,0.0029537536,0.0033720362,0.014774307,0.0018081091,0.174292],"study_design_scores_gemma":[0.000018758481,0.00045014342,0.9373922,0.000119164484,0.00013441127,0.00017991189,0.037710264,0.016620101,0.001488621,0.002601067,0.0032459525,0.00003940973],"about_ca_topic_score_codex":0.0038267772,"about_ca_topic_score_gemma":0.0046635643,"teacher_disagreement_score":0.003904035,"about_ca_system_score_codex":0.0010087009,"about_ca_system_score_gemma":0.0018014696,"threshold_uncertainty_score":0.02064675},"labels":[],"label_agreement":null},{"id":"W2794762775","doi":"10.5430/ijfr.v9n2p191","title":"Value and Size Effects in the Stock Market of the Philippines","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Stock market; Stock (firearms); Warrant; Capital market; China; Emerging markets; Market size; Financial economics; Monetary economics; International economics; Macroeconomics; Finance; Geography","score_opus":0.05230209357288398,"score_gpt":0.3245061887403077,"score_spread":0.2722040951674237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794762775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934802,0.0008992608,0.00037863778,0.00081723655,0.000033285727,0.00000991681,0.00039234746,0.000028025008,0.0039611296],"genre_scores_gemma":[0.99870586,0.00015458449,0.00006517339,0.000051472147,0.00003844358,0.0000037623347,0.00021826556,0.000008778001,0.00075365487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927825,0.00023817936,0.000050204846,0.00015470038,0.00018980788,0.00008894071],"domain_scores_gemma":[0.9840985,0.008509407,0.0042479164,0.000944696,0.0012745062,0.0009249762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002295033,0.000245779,0.00033722998,0.0011420257,0.00036854096,0.0011507488,0.0003740737,0.00036454923,0.006387249],"category_scores_gemma":[0.0135804955,0.00012836988,0.0004534815,0.0009909907,0.0005783882,0.0013096574,0.0006823374,0.0007867504,0.00047555755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004942573,0.00016320638,0.96550816,0.00009814068,0.0004527699,0.0006895132,0.0009088087,0.0016371683,0.0012028123,0.0024474596,0.0029265408,0.023471178],"study_design_scores_gemma":[0.00001972852,0.00010778945,0.9936094,0.000017445014,0.00011753758,0.000077074204,0.0005271516,0.002815296,0.00033903404,0.0009826493,0.0013728575,0.000014094875],"about_ca_topic_score_codex":0.015755756,"about_ca_topic_score_gemma":0.009820592,"teacher_disagreement_score":0.015755756,"about_ca_system_score_codex":0.00043919747,"about_ca_system_score_gemma":0.00041970052,"threshold_uncertainty_score":0.031328082},"labels":[],"label_agreement":null},{"id":"W2797343678","doi":"10.5430/ijfr.v9n2p203","title":"Unconditional Accounting Conservatism and Real Earnings Management","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings management; Endogeneity; Conservatism; Accrual; Cash flow; Robustness (evolution); Accounting; Econometrics; Earnings response coefficient; Earnings; Economics; Audit; Quality audit; Business","score_opus":0.027617219795508987,"score_gpt":0.3199390805610861,"score_spread":0.29232186076557715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797343678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987124,0.00008245283,0.00031867062,0.000109395405,0.0000024437634,0.0000020639438,0.00003840005,0.0000069785306,0.00072716054],"genre_scores_gemma":[0.9997489,0.000016746671,0.000039998125,0.000004942721,0.0000034522836,6.694753e-7,0.000030764233,4.680471e-7,0.00015399233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936134,0.00011163745,0.00009945076,0.000119251934,0.00019378499,0.000114483606],"domain_scores_gemma":[0.9871313,0.0018478065,0.008462058,0.0010450227,0.0010423086,0.00047148936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011479236,0.00014671193,0.00016095354,0.00081933575,0.0002620956,0.0008228983,0.00024087769,0.00019449372,0.001416255],"category_scores_gemma":[0.006231424,0.000091776856,0.00016554147,0.00081406755,0.0006453112,0.00074201345,0.00068215176,0.0004123517,0.000110591776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003400873,0.00003930106,0.9883888,0.000012386409,0.000043929722,0.000099935576,0.00029777124,0.0010410261,0.0004821514,0.0012864982,0.00010793614,0.008166179],"study_design_scores_gemma":[0.0000016377746,0.00002364847,0.99656516,0.000006103274,0.0000122626525,0.000044021544,0.00016669248,0.0018985397,0.00019567399,0.00088861585,0.00019118734,0.0000065501304],"about_ca_topic_score_codex":0.0047752406,"about_ca_topic_score_gemma":0.006011682,"teacher_disagreement_score":0.0047752406,"about_ca_system_score_codex":0.0006599765,"about_ca_system_score_gemma":0.0005244811,"threshold_uncertainty_score":0.009494841},"labels":[],"label_agreement":null},{"id":"W2798231393","doi":"10.5430/ijfr.v9n2p216","title":"An Empirical Analysis of the Impact of Fund Manager’s Personal Characteristics on Fund Performance in China’s Fund Market - Based on DEA Model and Threshold Panel Model","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Manager of managers fund; Fund administration; Business; Target date fund; China; Income fund; Index fund; Finance; Panel data; Investment fund; Open-end fund; Accounting; Economics; Econometrics; Institutional investor; Political science","score_opus":0.20031548727176365,"score_gpt":0.390725263759072,"score_spread":0.19040977648730836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798231393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919266,0.000051002226,0.0003328463,0.00005520307,0.0000021438261,0.0000067922792,0.00009360406,0.0000033716058,0.00026237642],"genre_scores_gemma":[0.999443,0.000030176025,0.00009592903,0.0000071341346,0.0000043871096,0.00000547433,0.0001715201,8.2903745e-7,0.0002414569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992254,0.00023920885,0.000058028607,0.00014137044,0.00014377279,0.00019219687],"domain_scores_gemma":[0.99389136,0.003236607,0.0014065193,0.00037344458,0.00048231488,0.0006097656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002720134,0.00035197692,0.00043574788,0.0012620048,0.00039303888,0.0011098941,0.00046912406,0.0004623673,0.0017298105],"category_scores_gemma":[0.005608414,0.00018214295,0.0008319284,0.0010354359,0.0003132065,0.0010708036,0.00057567767,0.00049340556,0.0001457772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011742567,0.00010510119,0.9872612,0.000023727118,0.00017131165,0.00028786046,0.00032168604,0.0042351345,0.0003039456,0.00058008364,0.00026919506,0.0063234433],"study_design_scores_gemma":[0.000010623518,0.00007590632,0.96353036,0.0000065733466,0.00008246487,0.000059852748,0.000446199,0.035043884,0.00022805919,0.00027149834,0.00023481123,0.000009717834],"about_ca_topic_score_codex":0.018539391,"about_ca_topic_score_gemma":0.012191227,"teacher_disagreement_score":0.018539391,"about_ca_system_score_codex":0.00082792377,"about_ca_system_score_gemma":0.00089752453,"threshold_uncertainty_score":0.03686297},"labels":[],"label_agreement":null},{"id":"W2799794826","doi":"10.5430/ijfr.v9n3p20","title":"Competition Between Volatility and Overall Market Gain and the Performance of Leveraged Index Funds","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Leverage (statistics); Leverage effect; Economics; Econometrics; Financial economics; Index (typography); Monetary economics; Autoregressive conditional heteroskedasticity; Computer science; Statistics; Mathematics","score_opus":0.06610032944511085,"score_gpt":0.3100708180736321,"score_spread":0.24397048862852128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799794826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62098044,0.0013715456,0.34982538,0.0016272742,0.0000791794,0.00009827654,0.00039070877,0.0002958886,0.025331214],"genre_scores_gemma":[0.99413484,0.00028649447,0.0028668318,0.00003486142,0.00002947565,0.00003538809,0.000049921342,0.000019832412,0.0025423127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992938,0.00022630714,0.000030118279,0.00008555909,0.00017608538,0.0001881233],"domain_scores_gemma":[0.99612033,0.0025021175,0.00082211825,0.00017956685,0.00021713466,0.00015870086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027220557,0.0010346604,0.0010711689,0.00096697954,0.00023445193,0.0024765108,0.0013256245,0.0016851511,0.002323325],"category_scores_gemma":[0.012111598,0.0004778716,0.0010064897,0.00067001267,0.0014227498,0.003001976,0.0012094693,0.0012507727,0.00040632123],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019404358,0.0000868763,0.004682544,0.00008691094,0.00008105117,0.00043951737,0.000092240814,0.78085744,0.010339683,0.19423243,0.000696706,0.008210511],"study_design_scores_gemma":[0.00001222644,0.00007492582,0.0012091704,0.000009463975,0.000017875518,0.00010944612,0.000012404903,0.9766217,0.000984277,0.020740045,0.00018562753,0.000022922171],"about_ca_topic_score_codex":0.0013387722,"about_ca_topic_score_gemma":0.0006192803,"teacher_disagreement_score":0.0027220557,"about_ca_system_score_codex":0.0013090594,"about_ca_system_score_gemma":0.001006413,"threshold_uncertainty_score":0.014395773},"labels":[],"label_agreement":null},{"id":"W2800237801","doi":"10.5430/ijfr.v9n2p227","title":"Foreign Capital and International Division Trap","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Division of labour; Developing country; Foreign direct investment; Division (mathematics); Host (biology); Trap (plumbing); Capital (architecture); Business; Economics; Panel data; International trade; Labour economics; International economics; Economic growth; Market economy; Engineering; Macroeconomics; Geography","score_opus":0.06157584305870153,"score_gpt":0.3608716920387711,"score_spread":0.2992958489800696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800237801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9636541,0.0014380683,0.0010289096,0.0010206971,0.000038231472,0.00004142458,0.0029109821,0.00002860007,0.029839002],"genre_scores_gemma":[0.99425644,0.00033478954,0.0001162023,0.000066742425,0.000013378114,0.000016782138,0.0011490182,0.000003557622,0.0040431246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921954,0.000104396604,0.000042063308,0.0001287082,0.00017132206,0.00033403983],"domain_scores_gemma":[0.9962115,0.00061667187,0.0022656026,0.00017166922,0.0002939171,0.0004406117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008742348,0.00017749888,0.00022623474,0.0012597517,0.0006752,0.001795256,0.000315191,0.0002994113,0.005601679],"category_scores_gemma":[0.0030403319,0.00008656624,0.00021730395,0.0026857825,0.00065062084,0.0010182405,0.0013209028,0.0008300146,0.00050191244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013392845,0.00010459973,0.9428007,0.00006895643,0.00006964555,0.00032728483,0.0012571592,0.0029676778,0.00016448049,0.01798536,0.005564179,0.028555922],"study_design_scores_gemma":[0.000031549996,0.00010901417,0.9399986,0.00016239083,0.000045109275,0.00026150714,0.0042182384,0.0034580398,0.000663497,0.007766367,0.04325585,0.000029750085],"about_ca_topic_score_codex":0.019968858,"about_ca_topic_score_gemma":0.017345281,"teacher_disagreement_score":0.019968858,"about_ca_system_score_codex":0.0017551541,"about_ca_system_score_gemma":0.0012345057,"threshold_uncertainty_score":0.039705276},"labels":[],"label_agreement":null},{"id":"W2801602585","doi":"10.5430/ijfr.v9n2p236","title":"Does Liquidity Influence Profitability in Islamic Banks of Bahrain: An Empirical Study?","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Return on equity; Econometrics; Profitability index; Return on assets; Economics; Variables; F-test; Cash; Investment (military); Monetary economics; Statistics; Mathematics; Regression analysis; Finance","score_opus":0.05614832493367891,"score_gpt":0.40722622029771316,"score_spread":0.3510778953640342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801602585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701536,0.0009803488,0.00005564641,0.00063290884,0.000011170828,0.0000077648165,0.00020922873,0.0000029431476,0.0010845296],"genre_scores_gemma":[0.9988071,0.00051976513,0.00004742638,0.00007396358,0.000044802684,0.0000047677545,0.00020670096,9.5918e-7,0.0002945205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994523,0.000116709685,0.00006684704,0.00007371578,0.00013658467,0.00015394695],"domain_scores_gemma":[0.99565625,0.0014043009,0.0019850505,0.000061446444,0.0005230707,0.00036992738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084332586,0.00022085449,0.0002828732,0.0011642345,0.0004916192,0.0015812222,0.00035551333,0.00064297405,0.0022333825],"category_scores_gemma":[0.0029572926,0.00016297835,0.00038115328,0.0017591957,0.0005013167,0.0008545496,0.00051712187,0.0006828845,0.0003767117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006951579,0.00012668407,0.9896002,0.00006321986,0.00005695414,0.00051548326,0.0010819925,0.00026131657,0.00016338415,0.00029880198,0.00065417483,0.0071083223],"study_design_scores_gemma":[0.000008086613,0.00012300893,0.9909747,0.0000701517,0.000077344426,0.00031155453,0.0052386518,0.0014882796,0.00014393206,0.00024606066,0.001305216,0.000012872606],"about_ca_topic_score_codex":0.012533136,"about_ca_topic_score_gemma":0.020012604,"teacher_disagreement_score":0.012533136,"about_ca_system_score_codex":0.001013153,"about_ca_system_score_gemma":0.0012249117,"threshold_uncertainty_score":0.024920344},"labels":[],"label_agreement":null},{"id":"W2802298444","doi":"10.5430/ijfr.v9n3p1","title":"Does Lead Time in CEO Succession Matter? Evidence From Planned Versus Unexpected CEO Departures","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lead (geology); Lead time; Stock (firearms); Ecological succession; Business; Monetary economics; Economics; Marketing","score_opus":0.062210464028155325,"score_gpt":0.35776771239344873,"score_spread":0.2955572483652934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802298444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953668,0.0013104297,0.0002867622,0.0008906511,0.000058987695,0.0000074848176,0.0006088126,0.000004928312,0.0014650658],"genre_scores_gemma":[0.99876225,0.00024731766,0.00005790665,0.00010165153,0.000044545992,0.0000042533393,0.0004389916,0.000003322977,0.00033978236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734735,0.00086697727,0.00026086238,0.00048386116,0.00046710964,0.0005738532],"domain_scores_gemma":[0.9307252,0.022281855,0.03603951,0.0021985513,0.0024301296,0.0063246945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041298536,0.00024735523,0.00038208332,0.0012271724,0.00072198827,0.0015928348,0.0008011112,0.0008716655,0.0055344217],"category_scores_gemma":[0.039159503,0.00027375744,0.0007278565,0.0014028811,0.0006814786,0.0012185066,0.0015373601,0.0012945246,0.0007676987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041152307,0.00009034283,0.9942368,0.000028820776,0.000060386308,0.000086277934,0.00017505031,0.00022917536,0.0000519468,0.00019816722,0.00038225445,0.004049221],"study_design_scores_gemma":[0.000023072513,0.00015935511,0.9969984,0.00005302547,0.000049332164,0.00009946079,0.00069147337,0.00047096435,0.00010973091,0.0004330525,0.0009040657,0.000008044198],"about_ca_topic_score_codex":0.010367383,"about_ca_topic_score_gemma":0.018441275,"teacher_disagreement_score":0.010367383,"about_ca_system_score_codex":0.00061936595,"about_ca_system_score_gemma":0.001015123,"threshold_uncertainty_score":0.02184105},"labels":[],"label_agreement":null},{"id":"W2804830979","doi":"10.5430/ijfr.v9n3p26","title":"The Impact of Tax Deduction Ratio Reduction on Dividend Payouts Under the Integrated Tax System: Evidence From Taiwan","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend payout ratio; Dividend; Dividend tax; Monetary economics; Economics; Tax credit; Business; Tax reform; Double taxation; Dividend policy; Finance; State income tax; Public economics; Gross income","score_opus":0.08509992512124173,"score_gpt":0.36676193552586017,"score_spread":0.28166201040461847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804830979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830806,0.00027069307,0.00002226035,0.00014949562,0.0000030375684,0.00000849761,0.00008483524,0.000001656316,0.0011513835],"genre_scores_gemma":[0.9993543,0.00017602115,0.000017896255,0.000040413077,0.0000055718815,0.0000035068501,0.00014638412,7.411731e-7,0.00025520375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988231,0.00041718635,0.00010308789,0.0001580769,0.0002403728,0.0002581474],"domain_scores_gemma":[0.9923914,0.0020594054,0.0037425694,0.00042445463,0.0008179486,0.00056419754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016075287,0.00017980515,0.00020853545,0.0008385074,0.00038876836,0.0010576773,0.00049481285,0.00045078975,0.0018408869],"category_scores_gemma":[0.0052953055,0.00012372967,0.00053667475,0.001047156,0.0006980604,0.0006314799,0.00062683964,0.00074384536,0.00017598235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008334634,0.000775502,0.97496605,0.00011584191,0.0003666697,0.00076518685,0.0010008493,0.00057048834,0.00068923883,0.00081620784,0.00059011404,0.018510506],"study_design_scores_gemma":[0.0000434565,0.00030632573,0.9964461,0.000031997984,0.000195932,0.000064802625,0.0012820855,0.0003332547,0.0003640696,0.00010913207,0.0008139959,0.0000089118785],"about_ca_topic_score_codex":0.03818849,"about_ca_topic_score_gemma":0.04310484,"teacher_disagreement_score":0.03818849,"about_ca_system_score_codex":0.0011526318,"about_ca_system_score_gemma":0.0014525565,"threshold_uncertainty_score":0.07593238},"labels":[],"label_agreement":null},{"id":"W2805837051","doi":"10.5430/ijfr.v9n3p36","title":"Effects of CEO Turnover and Board Composition Reform on Improvements in the Internal Control Quality","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Accounting; Corporate governance; Business; Audit; Audit committee; Auditor independence; Context (archaeology); Government (linguistics); Internal control; Financial accounting; Quality audit; Control (management); Internal audit; Accounting information system; Finance; Joint audit; Economics; Management","score_opus":0.03214777006737564,"score_gpt":0.348546231369121,"score_spread":0.31639846130174537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805837051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996802,0.00035386466,0.00012246883,0.00050649536,0.000032023217,0.000017924174,0.000035852227,0.000015372558,0.0021140454],"genre_scores_gemma":[0.9983169,0.00007905601,0.000095712254,0.00014769327,0.00002403526,0.000009938116,0.000057101788,0.0000027152876,0.0012668761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988269,0.0003948655,0.00006300885,0.00012966967,0.00018992362,0.00039566914],"domain_scores_gemma":[0.99195683,0.0014359562,0.0031505337,0.0004424588,0.0010801934,0.0019339975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017899215,0.00019933455,0.0002770239,0.00035515733,0.00057377847,0.0010783749,0.0004236575,0.0006296491,0.0065579],"category_scores_gemma":[0.010556434,0.00011140912,0.000382209,0.00023406773,0.00042801196,0.000642725,0.0010236006,0.0007193146,0.00050632743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009238135,0.010676534,0.69482946,0.00053193816,0.00042562888,0.0008995855,0.0036052773,0.004498672,0.016775714,0.0032138037,0.0076935138,0.2476118],"study_design_scores_gemma":[0.00017817812,0.00137832,0.99203426,0.00003924175,0.00010719267,0.00005611737,0.0013217066,0.001101721,0.0011419799,0.00036637086,0.0022601448,0.000014697269],"about_ca_topic_score_codex":0.0055130115,"about_ca_topic_score_gemma":0.007768434,"teacher_disagreement_score":0.0065579,"about_ca_system_score_codex":0.0011195095,"about_ca_system_score_gemma":0.0013122133,"threshold_uncertainty_score":0.021938384},"labels":[],"label_agreement":null},{"id":"W2806056899","doi":"10.5430/ijfr.v9n3p61","title":"Ownership Structure and Efficiency of Banking Industry in China and Vietnam - A Political View","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Frontier; Politics; Shareholder; Communism; Banking industry; Stochastic frontier analysis; Business; Financial system; Market economy; Control (management); Economic system; Perspective (graphical); State ownership; Economics; Corporate governance; Finance; Emerging markets; Political science; Macroeconomics","score_opus":0.11798113671242408,"score_gpt":0.4782367488381215,"score_spread":0.36025561212569746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806056899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735,0.00014924265,0.00065203954,0.00010376436,0.000001220107,0.0000057526563,0.000053779437,0.0000012978376,0.0016828907],"genre_scores_gemma":[0.99962854,0.00004621289,0.000076007396,0.000003572685,0.0000013236294,0.0000016317028,0.000036596615,4.1510583e-7,0.00020568611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963474,0.0001116748,0.000024149113,0.000053027747,0.00007203243,0.00010434053],"domain_scores_gemma":[0.9981002,0.00084017316,0.00049054844,0.0000951996,0.00032126464,0.00015260572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010454471,0.000106718195,0.00023275938,0.0012854192,0.00026736857,0.0010602857,0.0002170859,0.00014615522,0.0011277717],"category_scores_gemma":[0.0020870266,0.0000938672,0.00028605986,0.0008788732,0.0005617456,0.0007685346,0.00049254514,0.0002099151,0.00004144837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008466389,0.00008700994,0.9491425,0.000050085735,0.00013445028,0.000269559,0.00094097643,0.017367123,0.0007878525,0.012979685,0.00029031598,0.017865716],"study_design_scores_gemma":[0.00001610351,0.00012227414,0.92093134,0.000040294282,0.00009165171,0.00012878882,0.0034839753,0.06798873,0.0010734465,0.004857066,0.0012518413,0.000014494423],"about_ca_topic_score_codex":0.025021726,"about_ca_topic_score_gemma":0.020202566,"teacher_disagreement_score":0.025021726,"about_ca_system_score_codex":0.0013855379,"about_ca_system_score_gemma":0.00086105283,"threshold_uncertainty_score":0.049752176},"labels":[],"label_agreement":null},{"id":"W2806896511","doi":"10.5430/ijfr.v9n3p53","title":"Fiscal Marksmanship Ex-ante to Fiscal Rules in India: An Empirical Investigation","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Economics; Ex-ante; Revenue; Fiscal year; Fiscal policy; Econometrics; Macroeconomics; Finance","score_opus":0.23482492750707568,"score_gpt":0.4002272047127607,"score_spread":0.165402277205685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806896511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973381,0.00007187352,0.00008504738,0.0001921281,0.0000058387827,0.000008726883,0.00022388993,0.0000045724446,0.0020699317],"genre_scores_gemma":[0.9986235,0.000091093454,0.00005319569,0.000039691855,0.000015208559,0.0000052962864,0.0003836731,0.000002943327,0.00078528706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985226,0.00030392184,0.00013592304,0.00020327471,0.00024191232,0.0005924868],"domain_scores_gemma":[0.97229993,0.009998787,0.013509658,0.0013061694,0.0016712017,0.0012142694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017012991,0.000191632,0.00034959687,0.00095782126,0.0008825669,0.0022395593,0.00089273765,0.0007090593,0.003499291],"category_scores_gemma":[0.010682333,0.00028128727,0.00053587044,0.0022100476,0.001167841,0.0010213144,0.0013546894,0.0024396798,0.0007344322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018215048,0.0002630023,0.986973,0.00004528639,0.00006778883,0.0006542788,0.002403074,0.0012959255,0.0001636158,0.001127784,0.00094444054,0.0058796685],"study_design_scores_gemma":[0.000004855779,0.00010481859,0.99032646,0.000019349902,0.00004221618,0.00022320455,0.0060538184,0.0013810606,0.00022371943,0.00025864338,0.0013469836,0.000014807179],"about_ca_topic_score_codex":0.034934036,"about_ca_topic_score_gemma":0.039968535,"teacher_disagreement_score":0.034934036,"about_ca_system_score_codex":0.0012905949,"about_ca_system_score_gemma":0.0015078275,"threshold_uncertainty_score":0.069461405},"labels":[],"label_agreement":null},{"id":"W2807722712","doi":"10.5430/ijfr.v9n3p75","title":"Has Fiscal Rules changed the Fiscal Behaviour of Union Government in India? Anatomy of Budgetary Forecast Errors in India","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Fiscal policy; Ex-ante; Revenue; Fiscal union; Fiscal imbalance; Macroeconomics; Finance","score_opus":0.06645351604071188,"score_gpt":0.33686005881516623,"score_spread":0.27040654277445436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807722712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99402505,0.00018747261,0.00037996998,0.00084847887,0.000018400486,0.0000052685405,0.0003957219,0.000018552728,0.0041211736],"genre_scores_gemma":[0.99918085,0.00007804532,0.0000786084,0.000024596022,0.000008741107,0.0000012127489,0.00017941842,0.0000032180728,0.0004453507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987457,0.0002617523,0.00013422605,0.00019236126,0.0003438078,0.00032217338],"domain_scores_gemma":[0.98884904,0.0036795717,0.0048317057,0.00066015834,0.001678536,0.00030110867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447581,0.00012962824,0.00020701437,0.001215172,0.00043194104,0.002123339,0.00048886775,0.00035665956,0.0012713416],"category_scores_gemma":[0.010209759,0.0001907646,0.00030826515,0.001911329,0.0006291806,0.0008531538,0.0008164673,0.0009514137,0.00026180214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019080203,0.000041203195,0.9612484,0.000048110447,0.00009681519,0.00032297563,0.0028286802,0.011607187,0.00025078873,0.0035460484,0.0014154289,0.018403564],"study_design_scores_gemma":[0.0000044242893,0.000041452095,0.9801579,0.000044571552,0.00004394662,0.00010801989,0.002755624,0.012957796,0.00053677027,0.0010276203,0.0022847212,0.000037082584],"about_ca_topic_score_codex":0.085560456,"about_ca_topic_score_gemma":0.0628167,"teacher_disagreement_score":0.085560456,"about_ca_system_score_codex":0.0020663275,"about_ca_system_score_gemma":0.0012063868,"threshold_uncertainty_score":0.17012483},"labels":[],"label_agreement":null},{"id":"W2809587633","doi":"10.5430/ijfr.v9n3p86","title":"Analysis Grid of Adjustment Strategies of Non-profit Organizations Benefiting From Microcredit to the Constraints of Microfinance Institutions: The Case of Burundi","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Microfinance; Beneficiary; Adaptation (eye); Business; Profit (economics); Work (physics); Marketing; Industrial organization; Economic system; Economics; Economic growth; Finance; Microeconomics","score_opus":0.07276091127929088,"score_gpt":0.4108966668987729,"score_spread":0.33813575561948206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809587633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99084723,0.00008486195,0.0002273932,0.00021463861,0.0000014764182,0.000012419409,0.000021668719,0.0000027679912,0.008587571],"genre_scores_gemma":[0.99876887,0.00005429496,0.00013553361,0.000011627699,4.502434e-7,0.0000054213497,0.000016599854,0.0000012652075,0.0010058862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996357,0.00009815366,0.00000990198,0.000038211176,0.00003558811,0.00018242316],"domain_scores_gemma":[0.99948347,0.00016385515,0.00013598184,0.000027471142,0.000071355505,0.000117910065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039231993,0.00012265821,0.0001432133,0.0008667422,0.0015827141,0.0019845096,0.0005832999,0.0005836241,0.00360443],"category_scores_gemma":[0.0011011191,0.00011056205,0.00016951594,0.0013834316,0.0009967948,0.0008786371,0.0011686378,0.00034691708,0.0001663175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050847867,0.00048176144,0.59129286,0.00022834715,0.00010654135,0.020741764,0.07807268,0.018493325,0.0045311525,0.1833591,0.0047453474,0.09743865],"study_design_scores_gemma":[0.000043071104,0.00024113891,0.6693295,0.00013826186,0.00008889629,0.0013800879,0.24556649,0.03258375,0.0010726984,0.016239678,0.033271667,0.000044681277],"about_ca_topic_score_codex":0.057699353,"about_ca_topic_score_gemma":0.09077635,"teacher_disagreement_score":0.057699353,"about_ca_system_score_codex":0.0046039266,"about_ca_system_score_gemma":0.0014759199,"threshold_uncertainty_score":0.11472702},"labels":[],"label_agreement":null},{"id":"W2810083500","doi":"10.5430/ijfr.v9n3p98","title":"The Nexus Between the Elasticity of Intertemporal Substitution and the Coefficient of Relative Risk Aversion","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Elasticity (physics); Preference; Substitution (logic); Nexus (standard); Econometrics; Economics; Risk aversion (psychology); Elasticity of substitution; Elasticity of intertemporal substitution; Function (biology); Mathematics; Mathematical economics; Thermodynamics; Expected utility hypothesis; Microeconomics; Physics; Computer science; Growth model","score_opus":0.06201995658873981,"score_gpt":0.3225487831105957,"score_spread":0.2605288265218559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810083500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60521597,0.0034761883,0.3518781,0.0014565353,0.00011441054,0.00007867543,0.00028586763,0.000096468,0.03739771],"genre_scores_gemma":[0.98638713,0.0007443868,0.011220296,0.000045939243,0.000022397988,0.000029620322,0.000045376542,0.0000088648085,0.0014959901],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992636,0.0003424087,0.00004964037,0.00013754975,0.00013139592,0.00007536587],"domain_scores_gemma":[0.99372077,0.0049149855,0.000714499,0.00034069354,0.00018954722,0.00011944268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017416012,0.00032348398,0.00040197067,0.0009562775,0.00023880842,0.0016271415,0.00033244482,0.00064053363,0.0042926283],"category_scores_gemma":[0.009466651,0.00027216916,0.00048994186,0.0010507021,0.0009646372,0.0020375475,0.00078748504,0.0013650027,0.00038548053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025615332,0.0001469557,0.08046066,0.0002743999,0.00045634466,0.00080688973,0.0009115841,0.060791757,0.013431135,0.7291965,0.0013397457,0.11192793],"study_design_scores_gemma":[0.000034682143,0.00017459023,0.06971249,0.00012739524,0.00016209489,0.0018475979,0.0008778261,0.07331537,0.0039338665,0.842526,0.007101403,0.00018667473],"about_ca_topic_score_codex":0.00049843494,"about_ca_topic_score_gemma":0.00041791893,"teacher_disagreement_score":0.0042926283,"about_ca_system_score_codex":0.00044227226,"about_ca_system_score_gemma":0.00048648697,"threshold_uncertainty_score":0.014360309},"labels":[],"label_agreement":null},{"id":"W2810792126","doi":"10.5430/ijfr.v9n3p103","title":"Volatility Clustering at a Sector Level in the Chinese Equity Market","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Cluster analysis; Econometrics; Economics; Volatility swap; Equity (law); Portfolio; Volatility clustering; Volatility risk premium; Financial economics; Implied volatility; Statistics; Autoregressive conditional heteroskedasticity; Mathematics","score_opus":0.23726753806437612,"score_gpt":0.41724937879508683,"score_spread":0.17998184073071072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810792126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789065,0.00018665873,0.0003006124,0.00008178714,0.0000052970954,0.000006030901,0.0007666444,0.0000106696125,0.0007515707],"genre_scores_gemma":[0.99851996,0.00006836669,0.00009462887,0.000009755532,0.0000092685505,0.0000029376827,0.0010853362,0.000002516844,0.00020728639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961203,0.000050904167,0.00003714623,0.00009654406,0.00009884834,0.00010444719],"domain_scores_gemma":[0.99878734,0.00024743358,0.0004910781,0.00014084739,0.00021736641,0.00011599135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090692553,0.00018425024,0.00034245616,0.0026755775,0.00027130617,0.00095528405,0.00028405015,0.00025627777,0.0011163087],"category_scores_gemma":[0.0020509816,0.00008888119,0.00047268186,0.002416944,0.00030838334,0.0006795144,0.0005972978,0.00023497669,0.00017196544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022610856,0.00003597661,0.9666022,0.00005775991,0.0001868441,0.0005067826,0.00044231417,0.0066044806,0.0023108656,0.0027823062,0.001716858,0.018527362],"study_design_scores_gemma":[0.000004845866,0.000026591333,0.9825533,0.000008705947,0.000040336745,0.00007618017,0.00025362681,0.014981831,0.000512566,0.0006504563,0.0008744994,0.000017058801],"about_ca_topic_score_codex":0.02192418,"about_ca_topic_score_gemma":0.017371131,"teacher_disagreement_score":0.02192418,"about_ca_system_score_codex":0.00070080295,"about_ca_system_score_gemma":0.00043749018,"threshold_uncertainty_score":0.04359311},"labels":[],"label_agreement":null},{"id":"W2871032089","doi":"10.5430/ijfr.v9n4p63","title":"Financial Services Privatisation: Two Case Studies","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Contrast (vision); Finance; Financial services; Dither; Financial system; Economics; Computer science; Telecommunications","score_opus":0.1409823827563762,"score_gpt":0.43123514830498855,"score_spread":0.29025276554861235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2871032089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95266587,0.0014264013,0.0009066879,0.0025270127,0.000041881347,0.00015361651,0.0002309369,0.0000140384245,0.04203356],"genre_scores_gemma":[0.9887217,0.0017263545,0.00067854114,0.00039177408,0.00002947854,0.000092405746,0.00012340599,0.000011978298,0.008224419],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99687564,0.0014353344,0.00013040313,0.00013635852,0.00038039577,0.0010418455],"domain_scores_gemma":[0.99584645,0.002192231,0.000707404,0.00027466347,0.00044804259,0.0005312808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035829996,0.00044140118,0.00045754004,0.001639753,0.0067350236,0.0031731757,0.0008690427,0.0036412834,0.006125216],"category_scores_gemma":[0.0065027783,0.00031239953,0.0006415702,0.0047328006,0.003368962,0.00214632,0.0032790783,0.0026705002,0.00047787756],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018237894,0.0067789773,0.15045272,0.0017400066,0.0002479248,0.12580796,0.19188298,0.0201711,0.0029402457,0.3514391,0.039091166,0.10762403],"study_design_scores_gemma":[0.00060326536,0.0014873132,0.18784116,0.0017554917,0.00017532548,0.024407154,0.4678315,0.009271079,0.0037340736,0.014850405,0.28787407,0.00016914065],"about_ca_topic_score_codex":0.044864606,"about_ca_topic_score_gemma":0.06180601,"teacher_disagreement_score":0.044864606,"about_ca_system_score_codex":0.0076453714,"about_ca_system_score_gemma":0.0027114192,"threshold_uncertainty_score":0.089206934},"labels":[],"label_agreement":null},{"id":"W2884761518","doi":"10.5430/ijfr.v9n3p108","title":"Nexus Between Pension Fund Size, Design and Investment Strategy: A Review of Occupational Retirement Benefits Schemes in Kenya","year":2018,"lang":"en","type":"review","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pension; Nexus (standard); Investment (military); Business; Investment strategy; Actuarial science; Finance; Passive management; Manager of managers fund; Fund of funds; Politics; Political science","score_opus":0.3102833119344512,"score_gpt":0.4555676477043885,"score_spread":0.14528433576993732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884761518","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082731294,0.9986351,0.000029571916,0.00016751634,0.000019004992,0.000009161712,0.000044263088,8.256258e-7,0.0002671976],"genre_scores_gemma":[0.0063282885,0.99332726,0.00013746519,0.00007559948,0.000021176278,0.000011814352,0.000039456994,8.974201e-7,0.000058038804],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988159,0.000369885,0.00035613158,0.00014516614,0.0002626116,0.000050324485],"domain_scores_gemma":[0.9919607,0.005894649,0.0014149674,0.00006638579,0.0005542767,0.00010903016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031532026,0.0004897469,0.001165486,0.0048427847,0.0003366468,0.0013116985,0.00088109553,0.00075867947,0.002834583],"category_scores_gemma":[0.011677805,0.0004420343,0.00085546076,0.0058000046,0.00055222306,0.001695247,0.0007241468,0.0006455982,0.00027534738],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015656755,0.000054022912,0.0043794694,0.20014733,0.00078944047,0.0001776452,0.00095507316,0.00022940093,0.00033651775,0.0021611494,0.0045379973,0.78607535],"study_design_scores_gemma":[0.00006166827,0.00046946944,0.047469348,0.42721123,0.0049414285,0.0015843309,0.002121734,0.00019479697,0.00061772007,0.001692938,0.51355153,0.000083855],"about_ca_topic_score_codex":0.008260508,"about_ca_topic_score_gemma":0.023477744,"teacher_disagreement_score":0.008260508,"about_ca_system_score_codex":0.0012932011,"about_ca_system_score_gemma":0.0049769185,"threshold_uncertainty_score":0.01667595},"labels":[],"label_agreement":null},{"id":"W2887573416","doi":"10.5430/ijfr.v9n3p117","title":"Macroeconomic Drivers of Stock Market Development: Evidence From Jordan","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Economics; Remittance; Monetary economics; Stock (firearms); Econometrics; Macroeconomics","score_opus":0.05948671785885206,"score_gpt":0.3405059504109389,"score_spread":0.28101923255208683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887573416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956169,0.0012671965,0.000051297924,0.0003897564,0.000005551648,0.0000064266737,0.0005593686,0.0000035376565,0.0020998707],"genre_scores_gemma":[0.99612063,0.002206133,0.000056153687,0.000067570014,0.000032661013,0.000003892645,0.0009943341,0.0000019267288,0.00051676994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988353,0.000022941917,0.000015302794,0.00001931461,0.000031757547,0.000027263146],"domain_scores_gemma":[0.99854666,0.00018752195,0.00073068804,0.00003872946,0.00033398622,0.0001624075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005107413,0.00016950462,0.00018547635,0.0010481697,0.00019661203,0.00087131665,0.00019710533,0.00018814603,0.001456271],"category_scores_gemma":[0.0011502053,0.00011940394,0.00023766926,0.0015203753,0.0002859377,0.00049677293,0.00051110465,0.00029236625,0.00031508104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009360286,0.000055016782,0.98981047,0.00006711271,0.00006679863,0.00034016866,0.00042432768,0.00030662262,0.00019167324,0.00046047775,0.0008832627,0.0073004016],"study_design_scores_gemma":[0.000010884071,0.00003655802,0.9955782,0.000035903584,0.000040413015,0.000090649104,0.0011326288,0.00043675932,0.00021963198,0.00012942034,0.0022838353,0.000005098324],"about_ca_topic_score_codex":0.011428414,"about_ca_topic_score_gemma":0.01729806,"teacher_disagreement_score":0.011428414,"about_ca_system_score_codex":0.00040236017,"about_ca_system_score_gemma":0.00068223046,"threshold_uncertainty_score":0.022723794},"labels":[],"label_agreement":null},{"id":"W2888040671","doi":"10.5430/ijfr.v9n4p19","title":"Reporting of Real Option Value Related to ESG: Including Complementary Systems for Disclosure Incentives","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Incentive; Materiality (auditing); Reputation; Externality; Business; Stakeholder; Value (mathematics); Legitimacy; Accounting; Accountability; Mediation; Enterprise value; Marketing; Industrial organization; Economics; Microeconomics","score_opus":0.12264711992459357,"score_gpt":0.4190596279676811,"score_spread":0.2964125080430875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888040671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13480628,0.0015256149,0.6765575,0.0135261165,0.0007964419,0.0006843043,0.00034919725,0.00067148346,0.17108305],"genre_scores_gemma":[0.9139163,0.00035892334,0.0802783,0.0006728017,0.00041198693,0.00025686025,0.00007724791,0.000047442292,0.003980214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.96530294,0.018691583,0.003313384,0.0031334148,0.0082988115,0.0012598505],"domain_scores_gemma":[0.8429994,0.09597153,0.019822711,0.03082105,0.008772048,0.0016132011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028385527,0.0010130801,0.0011589879,0.002477081,0.0016283822,0.012137097,0.002394397,0.004815885,0.006804766],"category_scores_gemma":[0.09950521,0.0007923571,0.0012028642,0.0022836048,0.006952056,0.019072147,0.005546531,0.004441629,0.00079067476],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014133228,0.00012850911,0.0028544255,0.000119658194,0.00003486595,0.00014222194,0.000730713,0.005297191,0.0016474788,0.9322129,0.00078085193,0.055909928],"study_design_scores_gemma":[0.00016935036,0.00042330788,0.0036664966,0.00052712223,0.00013311999,0.00047988433,0.00058855064,0.08367471,0.006137472,0.88046384,0.023515437,0.00022073068],"about_ca_topic_score_codex":0.0009111502,"about_ca_topic_score_gemma":0.00077930145,"teacher_disagreement_score":0.028385527,"about_ca_system_score_codex":0.003873363,"about_ca_system_score_gemma":0.0027920988,"threshold_uncertainty_score":0.15011883},"labels":[],"label_agreement":null},{"id":"W2888302173","doi":"10.5430/ijfr.v9n4p1","title":"The Incidence of Social Security Payroll Taxes: Evidence From China","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Payroll; Payroll tax; Social security; Wage; Labour economics; Panel data; China; Public sector; Government (linguistics); Economics; Private sector; Business; Economic growth; Econometrics; Market economy; Accounting; Economy","score_opus":0.10193510836200499,"score_gpt":0.3749759074815273,"score_spread":0.27304079911952234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888302173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780077,0.0004218719,0.000045826328,0.00025752652,0.0000058147457,0.000007938967,0.00051363086,0.0000031793518,0.0009434687],"genre_scores_gemma":[0.9982869,0.0004694951,0.00003164198,0.00007399961,0.000010131465,0.0000047306594,0.00072564563,0.0000015818396,0.00039597962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902415,0.0001493501,0.000108594424,0.00017712219,0.00030744236,0.00023324185],"domain_scores_gemma":[0.99516195,0.0007143693,0.0022833736,0.00042937679,0.0008552939,0.0005556965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014680176,0.00034590866,0.00036121983,0.0020676837,0.00073560054,0.00083797064,0.00062392594,0.00040695272,0.0021090596],"category_scores_gemma":[0.002717993,0.00026658992,0.0006721696,0.0032178743,0.0008569918,0.00045576144,0.0008989512,0.000510345,0.00020793088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007446869,0.000062988955,0.99204856,0.000061765335,0.00012793938,0.000183079,0.0007635982,0.00020078455,0.00016606807,0.00040746,0.0007295838,0.005173662],"study_design_scores_gemma":[0.0000059480767,0.000019810837,0.9985948,0.000013627364,0.000039685907,0.000027000511,0.0004014575,0.00021898473,0.000074709445,0.000042496406,0.0005561396,0.0000053394647],"about_ca_topic_score_codex":0.18703617,"about_ca_topic_score_gemma":0.20512038,"teacher_disagreement_score":0.18703617,"about_ca_system_score_codex":0.0018758195,"about_ca_system_score_gemma":0.0022132758,"threshold_uncertainty_score":0.37189496},"labels":[],"label_agreement":null},{"id":"W2889729479","doi":"10.5430/ijfr.v9n4p35","title":"Short and Long-Run Determinants of Inflation in Saudi Arabia: A Cointegration Analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Money supply; Error correction model; Monetary economics; Granger causality; Inflation (cosmology); Short run; Exchange rate; Broad money; Causality (physics); Supply and demand; Demand shock; Macroeconomics; Vector autoregression; Monetary policy; Econometrics","score_opus":0.13499276985189065,"score_gpt":0.37362545902257055,"score_spread":0.2386326891706799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889729479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980971,0.000580534,0.0004254319,0.00019760642,0.000008819122,0.0000027799442,0.0001846985,0.000005044512,0.0004979887],"genre_scores_gemma":[0.99856514,0.00040283136,0.00012113118,0.000011200533,0.000013991456,0.0000018843846,0.0004240913,0.0000014904717,0.00045834586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980193,0.000043460706,0.00003266351,0.000029067405,0.000041877385,0.000051041505],"domain_scores_gemma":[0.9991697,0.00022543447,0.00027339972,0.000028906454,0.00022733326,0.00007520465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048054152,0.00018870116,0.00022740819,0.00083882466,0.00018315986,0.00077020365,0.00016310862,0.0003201261,0.0013150452],"category_scores_gemma":[0.0013396147,0.00014091023,0.00041590098,0.0009211702,0.00016751324,0.0005359971,0.00042509855,0.0004592838,0.00027675516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034472186,0.000092439,0.9534934,0.00010271661,0.00030789882,0.00084505725,0.0012473115,0.012590181,0.0018476987,0.004852087,0.0009157761,0.023360655],"study_design_scores_gemma":[0.000016956605,0.00011190216,0.94459987,0.000056953206,0.00017905328,0.00021175864,0.0013182431,0.04902932,0.0009871222,0.00093990314,0.0025299818,0.000018894263],"about_ca_topic_score_codex":0.03423395,"about_ca_topic_score_gemma":0.023837287,"teacher_disagreement_score":0.03423395,"about_ca_system_score_codex":0.0006797023,"about_ca_system_score_gemma":0.00067448645,"threshold_uncertainty_score":0.0680694},"labels":[],"label_agreement":null},{"id":"W2889919943","doi":"10.5430/ijfr.v9n4p43","title":"Macroprudential Policy: Resolution and Continued Challenges","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial stability; Monetary policy; Process (computing); Economics; Financial sector; Resolution (logic); Business; Stress testing (software); Monetary economics; Financial system; Finance; Computer science","score_opus":0.08018993942985159,"score_gpt":0.3677844551624299,"score_spread":0.2875945157325783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889919943","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026305327,0.0349877,0.01996853,0.88198096,0.0025484369,0.000051503703,0.00015072165,0.00013497774,0.033871923],"genre_scores_gemma":[0.79828674,0.03554377,0.018807884,0.11303062,0.010391003,0.0003110147,0.0001703601,0.00019528379,0.023263436],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98588204,0.0059070042,0.000779651,0.0025298095,0.0035244308,0.0013770998],"domain_scores_gemma":[0.95992565,0.02530314,0.0033069411,0.0025574698,0.0060205557,0.002886199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.034103606,0.0005937798,0.001114597,0.0013964522,0.0031045587,0.009247458,0.0035856124,0.011285435,0.006123718],"category_scores_gemma":[0.050902084,0.000363727,0.00057200686,0.0013807596,0.008789925,0.010731537,0.006343768,0.012721246,0.0012537212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041101157,0.00008890363,0.0014330426,0.00018894527,0.000022654529,0.00016986944,0.0011499199,0.0016200031,0.00027181586,0.91331565,0.01846564,0.06323247],"study_design_scores_gemma":[0.00004263991,0.00009783904,0.0039301533,0.000771152,0.000015401836,0.0002082453,0.0029182823,0.0046463725,0.00061088905,0.7781523,0.2085387,0.000068018206],"about_ca_topic_score_codex":0.003644894,"about_ca_topic_score_gemma":0.0014450152,"teacher_disagreement_score":0.034103606,"about_ca_system_score_codex":0.005189681,"about_ca_system_score_gemma":0.009555201,"threshold_uncertainty_score":0.18035924},"labels":[],"label_agreement":null},{"id":"W2890241368","doi":"10.5430/ijfr.v9n4p51","title":"The Effect of Director's Individual and Family Shareholdings on Firm Performance","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Corporate governance; Incentive; Enterprise value; Principal–agent problem; Accounting; Executive compensation; Business; Executive director; Sample (material); Agency (philosophy); Value (mathematics); Agency cost; Welfare; Economics; Shareholder; Microeconomics; Finance; Management; Econometrics; Market economy","score_opus":0.047968439631390025,"score_gpt":0.3228878494567606,"score_spread":0.27491940982537055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890241368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882954,0.00013153866,0.000051357743,0.00009625703,0.0000027379006,0.0000018850237,0.00007214821,0.0000016621987,0.0008128692],"genre_scores_gemma":[0.99968684,0.000031080686,0.000014996608,0.0000046449127,0.000004640795,9.558134e-7,0.000055538516,3.3904325e-7,0.0002009038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913114,0.00026643058,0.000092513576,0.00014740336,0.00016414109,0.00019831378],"domain_scores_gemma":[0.9835697,0.004245899,0.009477406,0.0006345414,0.00051218545,0.0015603347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014141,0.0001869989,0.00016578536,0.000703947,0.00032881805,0.00069367816,0.00026290174,0.00032575804,0.0030717843],"category_scores_gemma":[0.0057479083,0.000069385205,0.0002373649,0.00070178707,0.00043074615,0.00065554574,0.0005950329,0.00038779667,0.00026533095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035344325,0.000036201964,0.9964038,0.0000044359736,0.000046531386,0.00007561106,0.00014169721,0.00012273085,0.00012750762,0.00009972449,0.00006175127,0.0028445774],"study_design_scores_gemma":[0.0000013492191,0.00003891499,0.9992526,0.0000037479952,0.000011459101,0.00003528797,0.00021878383,0.00018697178,0.00006953065,0.000056326273,0.00012283585,0.0000021179746],"about_ca_topic_score_codex":0.0046685557,"about_ca_topic_score_gemma":0.009201911,"teacher_disagreement_score":0.0046685557,"about_ca_system_score_codex":0.0003780037,"about_ca_system_score_gemma":0.00038424262,"threshold_uncertainty_score":0.010276139},"labels":[],"label_agreement":null},{"id":"W2896211534","doi":"10.5430/ijfr.v9n4p78","title":"The Impact of Technological Innovation on Corporate Performance: Evidence From the Communication and Cultural Industry in China","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Proxy (statistics); Profitability index; Solvency; Cultural industry; China; Industrial organization; Marketing; Empirical research; Economics; Economy; Finance; Market liquidity","score_opus":0.16264974061145354,"score_gpt":0.3689955797847676,"score_spread":0.20634583917331406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896211534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994486,0.000078249825,0.000013496556,0.000040603332,0.0000012376344,0.0000023462578,0.000058039357,9.0199165e-7,0.0003566443],"genre_scores_gemma":[0.999613,0.00009017091,0.000010413652,0.000008095523,0.0000031327595,0.0000016492604,0.00013140401,3.1353252e-7,0.0001419283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933547,0.000105797946,0.00006893378,0.00009160189,0.0001958517,0.00020223373],"domain_scores_gemma":[0.9936848,0.0010558895,0.0029601522,0.00026119652,0.0009694291,0.0010685532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279511,0.000347722,0.00026197493,0.0020412568,0.00063462154,0.00103179,0.00037986605,0.00039894012,0.0010888926],"category_scores_gemma":[0.0027727701,0.00013205357,0.0005509261,0.0021409264,0.00065800035,0.00065036013,0.00090950343,0.00046470226,0.00019148059],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022811875,0.000076373464,0.9959507,0.000011428951,0.00004406171,0.000121645055,0.0003817852,0.00024370708,0.0001509974,0.00008041245,0.00009537328,0.0028207405],"study_design_scores_gemma":[0.0000020329812,0.0000354136,0.9989786,0.000005311404,0.000017997265,0.000013270187,0.00040517663,0.00033861608,0.00008720152,0.000013814125,0.000099740384,0.0000029188232],"about_ca_topic_score_codex":0.056037653,"about_ca_topic_score_gemma":0.07081857,"teacher_disagreement_score":0.056037653,"about_ca_system_score_codex":0.0013139367,"about_ca_system_score_gemma":0.0012932275,"threshold_uncertainty_score":0.111422956},"labels":[],"label_agreement":null},{"id":"W2896664925","doi":"10.5430/ijfr.v9n4p97","title":"Fintech and the Future of the Payment Landscape: The Mobile Wallet Ecosystem - A Challenge for Retail Banks?","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mobile payment; Business; Payment service provider; Payment; Competition (biology); Revenue; Business model; Financial services; Commerce; Industrial organization; Marketing; Finance","score_opus":0.031916154486291065,"score_gpt":0.3088714091725677,"score_spread":0.2769552546862767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896664925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44480017,0.037070036,0.014802439,0.16396745,0.0015695333,0.000068768844,0.0002658861,0.00029709487,0.33715868],"genre_scores_gemma":[0.9453137,0.016981099,0.005283894,0.0058180983,0.00043975373,0.00003571574,0.00010920618,0.000045875535,0.025972577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999395,0.00019303469,0.000020460724,0.00006578639,0.00014007713,0.00018560178],"domain_scores_gemma":[0.9994143,0.00017550438,0.00008889906,0.000043637858,0.000092412185,0.00018526564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081993086,0.00027651567,0.00023320566,0.0010827029,0.0026846,0.015103971,0.0004674768,0.0032001918,0.0055135605],"category_scores_gemma":[0.0009187134,0.00016222004,0.0002470008,0.0017638357,0.004991244,0.013760157,0.0036862448,0.001922449,0.0013690144],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014103082,0.000079138124,0.010822467,0.00037092372,0.000014177931,0.002299022,0.01235512,0.0005614723,0.0027714034,0.7851345,0.028262766,0.15718791],"study_design_scores_gemma":[0.00001678196,0.00014772512,0.020457929,0.0016319097,0.000026259626,0.004336377,0.057956595,0.0027965494,0.0014713256,0.19918711,0.7118733,0.000098218916],"about_ca_topic_score_codex":0.0011666196,"about_ca_topic_score_gemma":0.0023166751,"teacher_disagreement_score":0.015103971,"about_ca_system_score_codex":0.0023678862,"about_ca_system_score_gemma":0.0019727855,"threshold_uncertainty_score":0.018444657},"labels":[],"label_agreement":null},{"id":"W2897503587","doi":"10.5430/ijfr.v9n4p88","title":"The Extent of Disclosure for Corporate Social Responsibility in the Financial Reports of Jordanian Pharmaceutical Companies","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Business; Stock exchange; Accounting; Order (exchange); Sample (material); Product (mathematics); Annual report; Social responsibility; Finance; Marketing; Public relations","score_opus":0.1229803458392436,"score_gpt":0.423532012382506,"score_spread":0.3005516665432624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897503587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99160165,0.00048961415,0.00034941104,0.00101507,0.000022016418,0.000024820576,0.00014403438,0.000007452609,0.006345977],"genre_scores_gemma":[0.9988912,0.00019998358,0.00021624494,0.000068187735,0.00003260927,0.000008908037,0.00007140658,0.000001851676,0.000509647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9883763,0.0043272763,0.0016446281,0.00051834574,0.0044965623,0.0006368447],"domain_scores_gemma":[0.9000159,0.028135685,0.048695847,0.0033987642,0.017674789,0.002079012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0094055,0.0001689771,0.00016525948,0.0026597425,0.0010028133,0.0025937916,0.0003306082,0.00040863635,0.0017732937],"category_scores_gemma":[0.048689123,0.000121099394,0.00021476772,0.0018450972,0.0011908987,0.0018231292,0.0017646411,0.0006530745,0.0001950916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009657362,0.00012278972,0.88845545,0.00023535581,0.00006363228,0.0002711286,0.039946187,0.0002018788,0.001127252,0.001903068,0.001490085,0.066086695],"study_design_scores_gemma":[0.000003658718,0.00012305226,0.9323716,0.00021327341,0.000028599934,0.00041891963,0.056529652,0.0005042463,0.0010168821,0.0006376173,0.00811368,0.000038807688],"about_ca_topic_score_codex":0.0027889686,"about_ca_topic_score_gemma":0.003957634,"teacher_disagreement_score":0.0094055,"about_ca_system_score_codex":0.0013942663,"about_ca_system_score_gemma":0.0019324907,"threshold_uncertainty_score":0.049741626},"labels":[],"label_agreement":null},{"id":"W2897984297","doi":"10.5430/ijfr.v9n4p117","title":"The Impact of Restrictive Measures on the Price Discovery Function of Stock Index Futures – Evidence From CSI 500 Stock Index Futures","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Price discovery; Futures contract; Stock index futures; Economics; Financial economics; Stock market crash; Stock market index; Spot market; Stock market; Index (typography); Forward market; Econometrics; Computer science","score_opus":0.0947283258962902,"score_gpt":0.36376595143171986,"score_spread":0.26903762553542965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897984297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701035,0.00020211833,0.0005394892,0.00018948312,0.00000996675,0.000009030713,0.0000959461,0.000018053786,0.0019254785],"genre_scores_gemma":[0.99927765,0.000106061554,0.00017685871,0.000029650011,0.000013987479,0.0000036798244,0.00015275077,0.0000042966235,0.00023509363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810517,0.000350234,0.00025947698,0.0002565193,0.0007470476,0.00028149126],"domain_scores_gemma":[0.97493297,0.00940236,0.00932508,0.002592493,0.0030080248,0.0007390627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035017594,0.00025603987,0.0003768455,0.0009508713,0.00042346734,0.0013167578,0.0005991346,0.00085754076,0.00088252686],"category_scores_gemma":[0.021292906,0.00020400231,0.00069052697,0.0007710948,0.0010930717,0.001856785,0.00077749864,0.0012935713,0.0002204722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011845543,0.00051999517,0.92420197,0.00011677769,0.00030479833,0.0009161643,0.0014274395,0.0094978,0.006120042,0.007489441,0.00141478,0.04680633],"study_design_scores_gemma":[0.000025293373,0.00028900005,0.98041373,0.000020059162,0.000108805725,0.000104142266,0.0011455993,0.010873561,0.0034995498,0.0014728723,0.0019985714,0.000048813337],"about_ca_topic_score_codex":0.016779786,"about_ca_topic_score_gemma":0.0069969343,"teacher_disagreement_score":0.016779786,"about_ca_system_score_codex":0.00080995884,"about_ca_system_score_gemma":0.0008192081,"threshold_uncertainty_score":0.033364236},"labels":[],"label_agreement":null},{"id":"W2900868244","doi":"10.5430/ijfr.v10n1p1","title":"Accounting Conservatism and Performance of Nigerian Consumer Goods Firms’: An Examination of the Role of Accruals","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Conservatism; Accounting; Panel data; Quality (philosophy); Economics; Business; Econometrics; Earnings","score_opus":0.025410136920122953,"score_gpt":0.3022550998361034,"score_spread":0.27684496291598043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900868244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880946,0.00019790856,0.000044099823,0.00012307269,0.0000025298386,0.0000030460726,0.000034629833,9.489709e-7,0.0007844014],"genre_scores_gemma":[0.99968493,0.0000821814,0.00004363265,0.000008521453,0.0000040024547,8.215908e-7,0.000037865455,3.4830268e-7,0.00013763388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990808,0.00027001402,0.00015376002,0.00008900288,0.0002888312,0.000117651776],"domain_scores_gemma":[0.96634257,0.010259514,0.019791437,0.00089094933,0.0019482091,0.00076732045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026057307,0.00014255985,0.00022236038,0.0011563358,0.00042913505,0.0016468194,0.0002121431,0.00031730332,0.0010606358],"category_scores_gemma":[0.011196872,0.00010807099,0.00018110803,0.001971114,0.000704555,0.0010089346,0.00071895175,0.00056418247,0.00013881139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006440916,0.000047148107,0.9943064,0.000019491357,0.000023421391,0.00014736151,0.0007148535,0.0001576604,0.00013233433,0.00026478947,0.000046521556,0.0040757703],"study_design_scores_gemma":[0.0000011929111,0.00004837397,0.9979513,0.000021497572,0.000009226295,0.00008614173,0.0010647507,0.00032776088,0.00010147324,0.00014660807,0.00023771478,0.00000390812],"about_ca_topic_score_codex":0.0060676187,"about_ca_topic_score_gemma":0.007566542,"teacher_disagreement_score":0.0060676187,"about_ca_system_score_codex":0.0007007829,"about_ca_system_score_gemma":0.00087864336,"threshold_uncertainty_score":0.013780594},"labels":[],"label_agreement":null},{"id":"W2904385132","doi":"10.5430/ijfr.v10n1p10","title":"Social Responsible Investments and Performance","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social responsibility; Business; Corporate social responsibility; Issuer; Finance; Sustainable development; Investment (military); Financial crisis; Asset (computer security); Economics; Financial system","score_opus":0.11662372048864454,"score_gpt":0.4025913134139327,"score_spread":0.28596759292528817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904385132","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43168953,0.0042654756,0.0039191362,0.014209908,0.00033546562,0.00008579648,0.00032655994,0.00008485775,0.5450832],"genre_scores_gemma":[0.9941817,0.0005464922,0.00025470203,0.00017199767,0.000074902186,0.000010950895,0.00005043064,0.000009859797,0.0046989676],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99366236,0.0025347641,0.00031847684,0.00036672864,0.0021941422,0.0009234688],"domain_scores_gemma":[0.9775695,0.005581333,0.0073412335,0.0013471763,0.003661336,0.0044993847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051457076,0.00039885571,0.00021052967,0.0018060799,0.0011820771,0.0060782223,0.00033041817,0.0006718372,0.0058055394],"category_scores_gemma":[0.016327456,0.000059766124,0.00020532147,0.0017603742,0.0034947463,0.0025809642,0.0043524937,0.0009364965,0.000849429],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017599833,0.0005890337,0.26531637,0.0002605951,0.00022933887,0.00030880424,0.009274289,0.003556392,0.00057483255,0.4528987,0.02026908,0.24654658],"study_design_scores_gemma":[0.000046386056,0.0006639561,0.45006534,0.0008728787,0.000104105195,0.0005505655,0.018144872,0.004085077,0.0019115573,0.3234243,0.19997266,0.00015820887],"about_ca_topic_score_codex":0.0016062058,"about_ca_topic_score_gemma":0.0018347498,"teacher_disagreement_score":0.0060782223,"about_ca_system_score_codex":0.0026424243,"about_ca_system_score_gemma":0.0023159129,"threshold_uncertainty_score":0.027213454},"labels":[],"label_agreement":null},{"id":"W2904951129","doi":"10.5430/ijfr.v10n1p17","title":"Chaotic Behavior in Exchange Rate","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chaotic; Lyapunov exponent; Context (archaeology); Mathematics; Econometrics; Hénon map; Statistics; Computer science; Artificial intelligence; Geography","score_opus":0.13502007401784188,"score_gpt":0.36879138653456744,"score_spread":0.23377131251672556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904951129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98825073,0.00029629807,0.008532005,0.00011002401,0.000011971884,0.000009497402,0.00020398751,0.000024757186,0.0025607029],"genre_scores_gemma":[0.9991454,0.00006516845,0.00044716956,0.0000047469803,0.0000061059363,0.000004060791,0.00009233139,0.0000030846004,0.00023195644],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998753,0.000029710469,0.000009988538,0.000036332665,0.000027323205,0.00002135382],"domain_scores_gemma":[0.9994686,0.00017657396,0.00020307321,0.000038513837,0.00008204109,0.000031191717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023416286,0.0001307188,0.00017994476,0.0006703113,0.00022757586,0.0005339903,0.00012143022,0.00014320906,0.00086503837],"category_scores_gemma":[0.0018694112,0.00008736226,0.00015775199,0.00045235208,0.00031361287,0.00042735657,0.0003237561,0.00017941573,0.00008088168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006112951,0.000111746434,0.5477068,0.00040355077,0.0004165491,0.0026342701,0.0028025364,0.25552306,0.04668221,0.071566656,0.003781644,0.067759745],"study_design_scores_gemma":[0.000030653533,0.00014614906,0.4075761,0.00005230853,0.000064004045,0.0011100423,0.0008568001,0.54919136,0.0053415434,0.031848792,0.0036931452,0.000089136585],"about_ca_topic_score_codex":0.0013217428,"about_ca_topic_score_gemma":0.00077820796,"teacher_disagreement_score":0.0013217428,"about_ca_system_score_codex":0.00030397854,"about_ca_system_score_gemma":0.00014763477,"threshold_uncertainty_score":0.002893865},"labels":[],"label_agreement":null},{"id":"W2908556464","doi":"10.5430/ijfr.v10n1p68","title":"Firm Level Determinants of Capital Structure: Evidence From Egypt","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pecking order theory; Capital structure; Pecking order; Agency cost; Economics; Order (exchange); Principal–agent problem; Empirical evidence; Agency (philosophy); Financial capital; Capital (architecture); Business; Monetary economics; Financial economics; Finance; Microeconomics; Debt; Corporate governance","score_opus":0.1386954609184481,"score_gpt":0.37717421756573755,"score_spread":0.23847875664728946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908556464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984384,0.0002972026,0.00003547955,0.00011039168,8.104173e-7,0.0000018285099,0.00022465183,7.249674e-7,0.0008903792],"genre_scores_gemma":[0.99908316,0.00027022258,0.000020656269,0.000015477044,0.0000019021908,7.7915206e-7,0.0002951976,3.9594786e-7,0.0003121451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998486,0.000019960993,0.000013945069,0.000028135692,0.000042785727,0.00004648973],"domain_scores_gemma":[0.9978417,0.0005209338,0.0011842527,0.00008132581,0.0002487132,0.00012299919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030196784,0.000101707876,0.00013566237,0.0008400397,0.00016271623,0.0007561629,0.00018056815,0.0002019318,0.0023481012],"category_scores_gemma":[0.0012680051,0.00008759483,0.0001263909,0.001792446,0.00031807867,0.000390222,0.0004309433,0.00027384303,0.00020826481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074606876,0.000037114005,0.98816025,0.000054804146,0.00006120045,0.0003067432,0.0005630119,0.0004263601,0.0002099005,0.0006586179,0.00038146754,0.009065977],"study_design_scores_gemma":[0.0000031178486,0.0000146091115,0.99770457,0.000018440913,0.000016915412,0.00004205091,0.00084776117,0.0002170372,0.00015876145,0.000071459355,0.00090292306,0.0000024216797],"about_ca_topic_score_codex":0.031775657,"about_ca_topic_score_gemma":0.04485953,"teacher_disagreement_score":0.031775657,"about_ca_system_score_codex":0.0007032067,"about_ca_system_score_gemma":0.0004883782,"threshold_uncertainty_score":0.0631814},"labels":[],"label_agreement":null},{"id":"W2908996849","doi":"10.5430/ijfr.v10n6p250","title":"Bank Size and Financial Risk Exposure on Financial Performance of Commercial Banks in Kenya","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Kenya; Finance; Business; Financial system; Leverage (statistics); Context (archaeology); Panel data; Capital adequacy ratio; Variables; Treasury; Economics; Incentive","score_opus":0.03148518513709131,"score_gpt":0.29919873391937163,"score_spread":0.2677135487822803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908996849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989242,0.00015911949,0.000011071108,0.00012038251,0.0000015052808,0.0000040199934,0.00007663364,6.045879e-7,0.0007023343],"genre_scores_gemma":[0.9996847,0.00009609627,0.000013477797,0.000014146233,0.0000021025735,0.0000025322533,0.000035785757,3.1638154e-7,0.00015092583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949336,0.0001880188,0.000046780835,0.0000585195,0.00008367707,0.00012956563],"domain_scores_gemma":[0.9960741,0.0011059364,0.0020094027,0.00006574925,0.00028323458,0.00046158666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006399833,0.0001623655,0.00018722548,0.0005301155,0.00064293394,0.0007995394,0.00020353464,0.0003909177,0.0037905823],"category_scores_gemma":[0.0032402542,0.00013625846,0.00018796744,0.00076169707,0.0006097863,0.00056302967,0.0005488335,0.000463742,0.0002557366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015160633,0.00010695716,0.9941953,0.000031046497,0.00002874354,0.00024352614,0.001131367,0.00014158904,0.00026240406,0.00024224681,0.00028995,0.0031753213],"study_design_scores_gemma":[0.0000038021321,0.00007665017,0.9977381,0.000035069817,0.000015819844,0.0000906583,0.0015074887,0.00014829337,0.0000689469,0.00005542069,0.00025377708,0.0000058703536],"about_ca_topic_score_codex":0.024288446,"about_ca_topic_score_gemma":0.041121714,"teacher_disagreement_score":0.024288446,"about_ca_system_score_codex":0.0008825723,"about_ca_system_score_gemma":0.00077926024,"threshold_uncertainty_score":0.048294127},"labels":[],"label_agreement":null},{"id":"W2909468965","doi":"10.5430/ijfr.v10n1p52","title":"Capital Flow Reversals, Sudden Stops, and International Reserve Adequacy: Further Evidence From the Global Financial Crisis","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monetary economics; Financial crisis; Depreciation (economics); Economics; Capital flows; Foreign-exchange reserves; Capital (architecture); Balance of payments; Currency; International economics; Capital formation; Macroeconomics; Financial capital; Market economy","score_opus":0.11143545426440796,"score_gpt":0.37072918254799836,"score_spread":0.25929372828359043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909468965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915072,0.0004348508,0.00024821798,0.00037938307,0.000009787166,0.000012717131,0.006304948,0.000011322927,0.0010915833],"genre_scores_gemma":[0.9876652,0.0004416612,0.00021621895,0.00007218438,0.000028250535,0.000016139125,0.011280946,0.000010463071,0.00026894847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994809,0.00017686936,0.00006358553,0.00010320163,0.00008621734,0.00008921116],"domain_scores_gemma":[0.99068624,0.003856974,0.0038094567,0.0004700168,0.00073967606,0.00043774358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018022268,0.00032161403,0.0003986189,0.0019655668,0.00028082315,0.0013517303,0.00037481438,0.00051767373,0.0022865618],"category_scores_gemma":[0.008376408,0.0001418596,0.00039358347,0.0029630475,0.00040803925,0.0013029161,0.0014485443,0.0010730287,0.00051917695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031775548,0.000100865676,0.98083544,0.00008504919,0.00012678384,0.00039037672,0.0005345492,0.0021208145,0.00023446002,0.0010464467,0.0054358547,0.008771649],"study_design_scores_gemma":[0.00003211011,0.00006598074,0.9877049,0.000058951096,0.000051201678,0.00020301512,0.0016925384,0.0051100366,0.00020584275,0.00063241285,0.004224939,0.000017950424],"about_ca_topic_score_codex":0.010839748,"about_ca_topic_score_gemma":0.008901017,"teacher_disagreement_score":0.010839748,"about_ca_system_score_codex":0.00033066553,"about_ca_system_score_gemma":0.00036686103,"threshold_uncertainty_score":0.021553338},"labels":[],"label_agreement":null},{"id":"W2909666174","doi":"10.5430/ijfr.v10n1p23","title":"Impact of Stock Market Development on Economic Growth in BRICS","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Economics; Robustness (evolution); Stock (firearms); Panel data; Economic indicator; Econometrics; Monetary economics; Financial economics; Macroeconomics; Geography","score_opus":0.06719707365269252,"score_gpt":0.33917614820555814,"score_spread":0.27197907455286563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909666174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99378175,0.0007660422,0.00005974224,0.00073518977,0.000017522025,0.000007675669,0.0006001998,0.0000069864573,0.004024804],"genre_scores_gemma":[0.99856406,0.00049473037,0.000026202373,0.000041740503,0.000016956905,0.0000027230092,0.0003470493,9.567179e-7,0.0005055673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996805,0.00006935614,0.000020293242,0.000024852872,0.000083202445,0.00012180626],"domain_scores_gemma":[0.9981931,0.00026009526,0.0008504811,0.00003838392,0.0004523251,0.00020565439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005368917,0.00025223315,0.00017592749,0.0012759131,0.00025644078,0.0012943785,0.00015624419,0.00022776776,0.001874007],"category_scores_gemma":[0.0023175923,0.00006918257,0.00026465816,0.0014663166,0.0003179547,0.00044767783,0.0006415796,0.0006143001,0.00023271545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011841339,0.000097139724,0.9781352,0.000056664016,0.000086308915,0.00076056406,0.00026268951,0.0019908894,0.0006574637,0.0016450824,0.0018015974,0.014387942],"study_design_scores_gemma":[0.0000050648873,0.000052715117,0.9950405,0.000037642225,0.000034378918,0.00010115719,0.00079750404,0.0014937167,0.00036608384,0.00020751319,0.0018564288,0.000007425141],"about_ca_topic_score_codex":0.04899901,"about_ca_topic_score_gemma":0.052059412,"teacher_disagreement_score":0.04899901,"about_ca_system_score_codex":0.0014705326,"about_ca_system_score_gemma":0.0016770797,"threshold_uncertainty_score":0.09742761},"labels":[],"label_agreement":null},{"id":"W2910144406","doi":"10.5430/ijfr.v10n1p86","title":"Effect of Audit Quality on Earnings Quality: Evidence From Indonesia Stock Exchange","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality audit; Earnings quality; Accounting; Business; Audit; Accrual; Stock exchange; Predictability; Audit evidence; Earnings; Joint audit; Internal audit; Finance; Statistics; Mathematics","score_opus":0.08033579380403774,"score_gpt":0.40934726132386895,"score_spread":0.32901146751983124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910144406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99559647,0.0012426956,0.00011039938,0.00048460008,0.000019318819,0.00001091227,0.00032417497,0.000004687579,0.0022066499],"genre_scores_gemma":[0.99882895,0.00048727356,0.000057599867,0.000049837265,0.000026803189,0.000002057887,0.00029413117,0.0000026452105,0.00025070924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686474,0.00077437196,0.00047069578,0.00031349805,0.0013334517,0.0002431594],"domain_scores_gemma":[0.94392705,0.015893457,0.030822659,0.00235262,0.0051482576,0.0018559569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041488786,0.00018977567,0.00028505907,0.001691436,0.00039625663,0.0015931171,0.00037462916,0.0003649025,0.0024492107],"category_scores_gemma":[0.019281784,0.00015587472,0.00049379276,0.0023670844,0.00070327707,0.0010914338,0.0008920892,0.0007217247,0.00027549863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065825865,0.000050733735,0.99519026,0.000022165597,0.00006791877,0.000047380225,0.00011170223,0.000043433865,0.000028511857,0.00008205203,0.00014674819,0.0041431114],"study_design_scores_gemma":[0.0000025608724,0.000025136953,0.9994048,0.000014401935,0.00003119558,0.000018779885,0.00015205813,0.00008743287,0.000034468212,0.000032152457,0.00019476538,0.0000022826648],"about_ca_topic_score_codex":0.01283735,"about_ca_topic_score_gemma":0.014973886,"teacher_disagreement_score":0.01283735,"about_ca_system_score_codex":0.00062797253,"about_ca_system_score_gemma":0.0007859947,"threshold_uncertainty_score":0.025525272},"labels":[],"label_agreement":null},{"id":"W2910418830","doi":"10.5430/ijfr.v10n1p31","title":"Perspectives From the Past for the Federal Reserve’s Monetary Policy and Communication","year":2018,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monetary policy; Interest rate; Quantitative easing; Economics; Forward guidance; Normalization (sociology); Excess reserves; Inflation (cosmology); Federal funds; Credit channel; Monetary economics; Macroeconomics; Inflation targeting; Central bank","score_opus":0.18566458334140912,"score_gpt":0.38016030413937685,"score_spread":0.19449572079796773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910418830","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055099767,0.059951216,0.013448425,0.6425802,0.0056824917,0.00002335464,0.000340857,0.00011394344,0.22275978],"genre_scores_gemma":[0.9465038,0.01791632,0.004240566,0.020298757,0.0033801596,0.000046062436,0.000094253846,0.00008107565,0.0074390187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98938596,0.0061202287,0.0006048343,0.0010422094,0.0016790509,0.001167757],"domain_scores_gemma":[0.9821004,0.009241996,0.0025557121,0.0010690463,0.0026226894,0.0024100477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015474955,0.0007011506,0.00057346956,0.0034558116,0.010173302,0.01806764,0.0013223737,0.007785776,0.0074392306],"category_scores_gemma":[0.020278284,0.00042470277,0.00042157632,0.0034318552,0.011199851,0.016906913,0.0046062083,0.011862356,0.000941433],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020379819,0.000103384744,0.0060908888,0.00040310237,0.00006898294,0.00047906284,0.04096374,0.0012176678,0.00070605054,0.83113366,0.03759245,0.081037275],"study_design_scores_gemma":[0.0000382567,0.0000999615,0.010942921,0.0019391881,0.0000676523,0.00045688244,0.044787783,0.0018439756,0.0008982047,0.26506236,0.67364275,0.00021996367],"about_ca_topic_score_codex":0.01156923,"about_ca_topic_score_gemma":0.012526173,"teacher_disagreement_score":0.01806764,"about_ca_system_score_codex":0.013578138,"about_ca_system_score_gemma":0.0055541005,"threshold_uncertainty_score":0.09851676},"labels":[],"label_agreement":null},{"id":"W2912678989","doi":"10.5430/ijfr.v10n2p1","title":"Mall Performance: Corporate, Retail, Restaurants and E-commerce Effects","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Shopping mall; Marketing; Revenue; Real estate; Productivity; E-commerce; Measure (data warehouse); Social media; Advertising; Finance; Economics; Computer science; Database","score_opus":0.08471038246560648,"score_gpt":0.3319079960927539,"score_spread":0.24719761362714743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912678989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99399143,0.00052512076,0.00021098938,0.00019527327,0.000037428414,0.000013977242,0.002262606,0.000032991513,0.0027302103],"genre_scores_gemma":[0.99602747,0.0001069763,0.00010029474,0.00002970554,0.000025133728,0.000010425417,0.001798514,0.000009676673,0.0018918742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867517,0.00031057632,0.00014508647,0.0002624349,0.0002967038,0.00031000312],"domain_scores_gemma":[0.992332,0.0023075528,0.0025439658,0.0003562579,0.00072937156,0.001730815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001404193,0.0003151255,0.00040230723,0.0015689356,0.00048521406,0.0017605484,0.00057582033,0.0006248668,0.0069828243],"category_scores_gemma":[0.005184575,0.00015883463,0.0009845556,0.0028343848,0.0006315774,0.0012159478,0.001420163,0.00095135026,0.0010205106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013717184,0.000090100715,0.99566025,0.000023947627,0.00019613684,0.000052745887,0.00009810037,0.0002936769,0.000073461946,0.000159304,0.0005421659,0.0026728099],"study_design_scores_gemma":[0.000005323712,0.0002186621,0.9972662,0.000024435092,0.000080939324,0.000030677656,0.0005957219,0.000592371,0.00011466087,0.00005825261,0.0010049347,0.000007904458],"about_ca_topic_score_codex":0.039835002,"about_ca_topic_score_gemma":0.060747072,"teacher_disagreement_score":0.039835002,"about_ca_system_score_codex":0.0008296967,"about_ca_system_score_gemma":0.00083818147,"threshold_uncertainty_score":0.07920629},"labels":[],"label_agreement":null},{"id":"W2913033422","doi":"10.5430/ijfr.v10n5p321","title":"Analysis of Distribution Information System of Rice Supply Chain Management at PT. Jatisari Sri Rejeki","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Supply chain; Agriculture; Consumption (sociology); Staple food; Commodity; Distribution (mathematics); Indonesian; Production (economics); Population; Agricultural economics; Supply chain management; Agricultural science; Industrial organization; Commerce; Marketing; Economics; Geography","score_opus":0.01632377256747682,"score_gpt":0.2912660037379615,"score_spread":0.2749422311704847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913033422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9383194,0.0008547475,0.039116587,0.0018137903,0.00006423519,0.00023807958,0.0062436964,0.0008642079,0.012485273],"genre_scores_gemma":[0.9868219,0.00028626504,0.0064328182,0.000033627726,0.000011931169,0.00004651965,0.004223296,0.000019364372,0.002124342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987717,0.00020762734,0.00014378333,0.00023959763,0.00046845133,0.00016877473],"domain_scores_gemma":[0.9971745,0.0010519236,0.0003262376,0.0001635836,0.0011565643,0.00012728828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015917207,0.00036602578,0.00037035532,0.0029103237,0.00074737286,0.002230474,0.00060518103,0.0005637336,0.0028180091],"category_scores_gemma":[0.0044753407,0.00027286547,0.000573381,0.0030182996,0.0002544828,0.0019348171,0.00053294987,0.0005147036,0.00054295966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081852404,0.0004997514,0.4161898,0.00048212157,0.00037062724,0.0022425752,0.0013692784,0.35298517,0.0076402416,0.016303468,0.017418068,0.18368028],"study_design_scores_gemma":[0.000019884976,0.00007212264,0.072609775,0.00004175209,0.000078972414,0.0001881619,0.0006069525,0.91623694,0.0023203397,0.0033491687,0.0044407104,0.00003526699],"about_ca_topic_score_codex":0.043334883,"about_ca_topic_score_gemma":0.020718351,"teacher_disagreement_score":0.043334883,"about_ca_system_score_codex":0.0025874046,"about_ca_system_score_gemma":0.0019693868,"threshold_uncertainty_score":0.08616525},"labels":[],"label_agreement":null},{"id":"W2913120901","doi":"10.5430/ijfr.v10n2p27","title":"A Study on How Development Finance Institutions Support SMEs: A Case Study of International Finance Corporation","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Corporation; Finance; Face (sociological concept); Access to finance; International finance; Raising (metalworking); Capital (architecture)","score_opus":0.13972134847213205,"score_gpt":0.37868998033098744,"score_spread":0.2389686318588554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913120901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98303545,0.00043459795,0.00031568925,0.0028149758,0.000018702925,0.000029342118,0.00003834196,0.0000056203835,0.013307299],"genre_scores_gemma":[0.9960757,0.0005402755,0.00020564288,0.00034322502,0.000011531752,0.00001246157,0.000019484614,0.000003704637,0.0027878755],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99828774,0.0009131699,0.000047348272,0.00009126879,0.00014264749,0.00051771244],"domain_scores_gemma":[0.99556005,0.0018016432,0.00071671425,0.00015717118,0.0004103764,0.0013540749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025122222,0.0002626955,0.0002626106,0.0015101244,0.0071558,0.004145525,0.0006786534,0.0018720004,0.0032195984],"category_scores_gemma":[0.005067833,0.00019357275,0.00017173408,0.002037467,0.0025823617,0.0030254608,0.0024874972,0.0018766026,0.0003156902],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000188319,0.0017413397,0.23269133,0.0002897996,0.000046690573,0.03083633,0.63405937,0.0006048886,0.0024524424,0.03337072,0.011528773,0.052190006],"study_design_scores_gemma":[0.000021588612,0.00021054322,0.07203833,0.00027384746,0.000025420819,0.0027032467,0.858864,0.0006116289,0.00075992313,0.0008609669,0.063600436,0.000030154246],"about_ca_topic_score_codex":0.020401038,"about_ca_topic_score_gemma":0.04634115,"teacher_disagreement_score":0.020401038,"about_ca_system_score_codex":0.0052754674,"about_ca_system_score_gemma":0.003950603,"threshold_uncertainty_score":0.040564597},"labels":[],"label_agreement":null},{"id":"W2913955158","doi":"10.5430/ijfr.v10n2p16","title":"Insurance Development and Economic Growth: An Examination of the Non-Bank Financial Institutions in Nigeria","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asset (computer security); Regression analysis; Financial sector; Investment (military); Business; Central bank; Economics; Financial system; Finance; Actuarial science; Monetary economics; Monetary policy","score_opus":0.05451928921954354,"score_gpt":0.31001013745346717,"score_spread":0.25549084823392365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913955158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761057,0.0005638345,0.00003966275,0.00015328432,0.0000042154693,0.0000045953134,0.00009815651,7.294811e-7,0.001524931],"genre_scores_gemma":[0.9989606,0.000670955,0.000031480275,0.000011014663,0.0000048643788,0.0000018092837,0.000087082524,4.1473194e-7,0.00023171303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982196,0.00004041722,0.000020171092,0.000021384165,0.00003192923,0.0000641909],"domain_scores_gemma":[0.9984169,0.00046191862,0.0007277084,0.00002787477,0.00013875663,0.00022687728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045128915,0.00015863788,0.0001626404,0.0010836388,0.00034211497,0.0009476547,0.00013049725,0.00021611319,0.0015577653],"category_scores_gemma":[0.0012144662,0.00012010681,0.0001997116,0.0013974719,0.00032789927,0.0007251823,0.0005961521,0.00048790552,0.00014396057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034051664,0.000052897765,0.99370414,0.000029551973,0.000014708467,0.00033956597,0.00054159225,0.00017806728,0.00017717476,0.00051367003,0.000089216854,0.004325414],"study_design_scores_gemma":[0.0000013587148,0.000029190182,0.9966762,0.00003794706,0.000011589899,0.000130735,0.0018237202,0.0004191883,0.00010794503,0.00012013761,0.0006396996,0.000002323216],"about_ca_topic_score_codex":0.011712903,"about_ca_topic_score_gemma":0.025142794,"teacher_disagreement_score":0.011712903,"about_ca_system_score_codex":0.0006091987,"about_ca_system_score_gemma":0.0008879835,"threshold_uncertainty_score":0.023289442},"labels":[],"label_agreement":null},{"id":"W2920569591","doi":"10.5430/ijfr.v10n2p36","title":"An Extended Stochastic Goal Mixed Integer Programming for Optimal Portfolio Selection in the Amman Stock Exchange","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Portfolio; Portfolio optimization; Computer science; Mathematical optimization; Stochastic programming; Stock exchange; Post-modern portfolio theory; Modern portfolio theory; Stock (firearms); Replicating portfolio; Integer programming; Dynamic programming; Geometric Brownian motion; Econometrics; Operations research; Economics; Finance; Mathematics; Engineering","score_opus":0.11762679302112135,"score_gpt":0.47804230411607385,"score_spread":0.3604155110949525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920569591","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040762596,0.0014216179,0.94711524,0.0008916847,0.00010790348,0.00010770731,0.00019878462,0.000114385824,0.009280056],"genre_scores_gemma":[0.81690013,0.0013334559,0.17061564,0.00031416514,0.0001301894,0.00044297014,0.00033919225,0.00006871598,0.009855415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990615,0.00047435274,0.000039718507,0.00015545679,0.00015305761,0.00011598867],"domain_scores_gemma":[0.99922645,0.00054262293,0.000076352866,0.000017979957,0.00009084932,0.00004571145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017368278,0.0013051827,0.0014051307,0.0005810723,0.0004322139,0.0019233649,0.00097501965,0.0015272197,0.0022773554],"category_scores_gemma":[0.002316111,0.0007057711,0.0011534321,0.0008045891,0.0005826706,0.0009789678,0.0013215032,0.0016872751,0.00021385575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034651566,0.000037270234,0.00036661234,0.000056820027,0.000035193156,0.00007095374,0.000023399289,0.979556,0.00023032025,0.011359206,0.000631194,0.00759838],"study_design_scores_gemma":[0.0000050757812,0.000016613443,0.00005535423,0.0000064553997,0.0000070584856,0.000006252726,0.0000048498705,0.9967632,0.00004960067,0.0028245565,0.0002579134,0.0000030634255],"about_ca_topic_score_codex":0.005420729,"about_ca_topic_score_gemma":0.0040668743,"teacher_disagreement_score":0.005420729,"about_ca_system_score_codex":0.0010089725,"about_ca_system_score_gemma":0.0014868347,"threshold_uncertainty_score":0.010778308},"labels":[],"label_agreement":null},{"id":"W2922247736","doi":"10.5430/ijfr.v10n2p61","title":"Risk Analysis of the Stock Price Index of Countries Participating in the “Belt and Road” Initiative - Based on GARCH-VaR Model","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Stock market; Stock (firearms); Autoregressive conditional heteroskedasticity; Stock market index; Index (typography); Foreign direct investment; Business; Economics; International economics; Finance; Macroeconomics; Volatility (finance); Political science; Geography","score_opus":0.0780639450475369,"score_gpt":0.3530759572976897,"score_spread":0.2750120122501528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922247736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97655004,0.0006176731,0.01924906,0.00033649147,0.00004337515,0.000047881047,0.0009053198,0.00017218293,0.002077824],"genre_scores_gemma":[0.9963121,0.00020222714,0.001333893,0.000022306409,0.00002129317,0.000018375371,0.001163039,0.000008398204,0.0009184817],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993388,0.00013624589,0.00005478217,0.00017524844,0.00017885477,0.00011602484],"domain_scores_gemma":[0.998565,0.0005377027,0.00038095046,0.00010647179,0.00030724832,0.00010262716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016344439,0.000721969,0.0006362725,0.0012128708,0.0002860716,0.001218549,0.0007305803,0.00053565775,0.0016255713],"category_scores_gemma":[0.00350141,0.00023197378,0.0011406444,0.00095891417,0.00028702203,0.0012401307,0.00066328695,0.00079410285,0.00024489223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053160917,0.00020035845,0.5983976,0.00015820996,0.00094077556,0.0018284726,0.00026357075,0.34573993,0.0032135744,0.0075330692,0.0041293385,0.03706344],"study_design_scores_gemma":[0.000027459737,0.0001850287,0.12038277,0.000020243331,0.00020735299,0.00020912882,0.00018512174,0.8749538,0.0015203415,0.001670486,0.0005889668,0.000049299102],"about_ca_topic_score_codex":0.016262747,"about_ca_topic_score_gemma":0.0076383012,"teacher_disagreement_score":0.016262747,"about_ca_system_score_codex":0.00056206563,"about_ca_system_score_gemma":0.00061848643,"threshold_uncertainty_score":0.032336175},"labels":[],"label_agreement":null},{"id":"W2932258705","doi":"10.5430/ijfr.v10n2p68","title":"The Determinants of Profitability of the Pharmaceutical Industry of Bangladesh: A Random Effect Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Regression analysis; Panel data; Econometrics; Business; Inflation (cosmology); Return on assets; Random effects model; Variables; Earnings before interest and taxes; Pharmaceutical industry; Equity (law); Economics; Return on equity; Monetary economics; Finance; Statistics; Mathematics","score_opus":0.052899312115719826,"score_gpt":0.3802889020231645,"score_spread":0.3273895899074447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932258705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99157083,0.0007964405,0.0012716044,0.00080368295,0.000022960588,0.000039418792,0.003284843,0.000029820856,0.0021803407],"genre_scores_gemma":[0.99589694,0.00038558696,0.0001731721,0.000036291814,0.000017577146,0.000015449285,0.0018798927,0.000004655233,0.0015904576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906856,0.00031866235,0.00009735712,0.00020167479,0.00013114684,0.00018269422],"domain_scores_gemma":[0.9957812,0.0020439907,0.0011137832,0.0002550955,0.00045782342,0.00034803886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010675453,0.0003484881,0.00048703866,0.000916739,0.00033341543,0.0010050763,0.0004277674,0.0005201656,0.006623479],"category_scores_gemma":[0.0031845386,0.00022522364,0.00093675614,0.0015105853,0.00040434828,0.00050891296,0.0005786146,0.0009253007,0.0011947056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018678937,0.00009781572,0.98302585,0.00005941073,0.00053054263,0.0006318021,0.00019059284,0.005060868,0.0005442741,0.00070776156,0.0014068661,0.0075575467],"study_design_scores_gemma":[0.000034521894,0.00034858432,0.9783654,0.000048551487,0.0004848215,0.00027422974,0.0008433268,0.014132982,0.00048395077,0.0006335579,0.004311044,0.000039074508],"about_ca_topic_score_codex":0.040990796,"about_ca_topic_score_gemma":0.029273566,"teacher_disagreement_score":0.040990796,"about_ca_system_score_codex":0.0006927579,"about_ca_system_score_gemma":0.0007291951,"threshold_uncertainty_score":0.081504405},"labels":[],"label_agreement":null},{"id":"W2936058016","doi":"10.5430/ijfr.v10n2p75","title":"The Relationship Between Knowledge, Trust, Intention to Pay Zakah, and Zakah-Paying Behavior","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Negeri Semarang","keywords":"Christian ministry; Business; Quality (philosophy); Service (business); Path analysis (statistics); Data collection; Service quality; Population; Marketing; Computer science; Medicine; Political science; Statistics","score_opus":0.08159682549247223,"score_gpt":0.3832019799559199,"score_spread":0.3016051544634477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936058016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837106,0.00006841016,0.000051679635,0.00008525197,0.0000026217692,0.000006422756,0.000022157757,0.0000011054341,0.0013913532],"genre_scores_gemma":[0.9995915,0.000045473094,0.000047973448,0.000012786119,0.0000021654973,0.000003746743,0.000027219494,3.653538e-7,0.00026884335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943095,0.00012532144,0.00006271449,0.000042911008,0.00018750053,0.00015062901],"domain_scores_gemma":[0.9938565,0.0022595755,0.002311411,0.0002504963,0.0004730502,0.00084898976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092807086,0.00013112329,0.0002270646,0.0006676835,0.0005894821,0.0009965436,0.00020536552,0.00044515985,0.0034738798],"category_scores_gemma":[0.0052937963,0.00012619462,0.00032283607,0.0005131989,0.000400689,0.0004283211,0.00040948644,0.00083929196,0.00021250325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036414454,0.00037143048,0.9912005,0.00002640929,0.000042919033,0.00008959104,0.0013224483,0.000083820014,0.00016338905,0.0002516643,0.000097766446,0.00631374],"study_design_scores_gemma":[0.0000034802717,0.00008264455,0.9966499,0.000020083544,0.000026013224,0.00007182152,0.0024125965,0.0002785782,0.000062461964,0.00012598473,0.00026025073,0.0000063083075],"about_ca_topic_score_codex":0.008647737,"about_ca_topic_score_gemma":0.011545774,"teacher_disagreement_score":0.008647737,"about_ca_system_score_codex":0.0006302678,"about_ca_system_score_gemma":0.0009143288,"threshold_uncertainty_score":0.017194808},"labels":[],"label_agreement":null},{"id":"W2936430075","doi":"10.5430/ijfr.v10n2p82","title":"Tax Revenue and Public Service Delivery: Evidence From Nigeria","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Tax revenue; Business; Government (linguistics); Exploit; Service delivery framework; Service (business); Government revenue; Health care; Public economics; Public sector; Finance; Economic growth; Economics; Marketing","score_opus":0.12446827593961725,"score_gpt":0.32999112428044974,"score_spread":0.2055228483408325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936430075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354434,0.0021639918,0.00009769306,0.00059576787,0.000025675648,0.000010005399,0.00061357964,0.0000028890643,0.0029460546],"genre_scores_gemma":[0.99563956,0.0031699103,0.00007254581,0.000045039134,0.000013315804,0.000004201091,0.00042510297,0.0000020997732,0.00062823447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995691,0.00013558686,0.000048495287,0.000043409003,0.00009842335,0.00010491009],"domain_scores_gemma":[0.9957307,0.0014874557,0.0019346095,0.00007447357,0.00051823806,0.00025453846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071217207,0.00018899071,0.00021309408,0.0013440473,0.00052267226,0.0009415819,0.0002224346,0.00024946834,0.0016940791],"category_scores_gemma":[0.00417427,0.0001482289,0.00025330752,0.0029792122,0.00040954075,0.00059351075,0.00069908664,0.00075368566,0.00029082998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013609775,0.00016058455,0.9757184,0.00020121252,0.000057037458,0.00045850253,0.0010362355,0.00060421583,0.00007073375,0.0012526169,0.0010973025,0.019206977],"study_design_scores_gemma":[0.0000096277445,0.000115205235,0.9876881,0.0003305103,0.00006979305,0.0002763506,0.005929166,0.00077314867,0.00029119878,0.00021423216,0.0042931917,0.000009447508],"about_ca_topic_score_codex":0.048130225,"about_ca_topic_score_gemma":0.06514433,"teacher_disagreement_score":0.048130225,"about_ca_system_score_codex":0.0015177607,"about_ca_system_score_gemma":0.0016368758,"threshold_uncertainty_score":0.095700145},"labels":[],"label_agreement":null},{"id":"W2936537312","doi":"10.5430/ijfr.v10n2p92","title":"Efficiency of Foreign Exchange and Its Related Derivatives Market: Evidence From Korea","year":2019,"lang":"en","type":"retraction","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inefficiency; Interest rate parity; Foreign exchange market; Exchange rate; Economics; Foreign exchange; Monetary economics; Financial crisis; Financial market; Efficient-market hypothesis; Market efficiency; Empirical evidence; Financial economics; Macroeconomics; Finance; Market economy","score_opus":0.10819184449621778,"score_gpt":0.34702589907069303,"score_spread":0.23883405457447526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936537312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98623127,0.003961135,0.000376114,0.0009236531,0.00002677296,0.00001861973,0.0009107635,0.000007681262,0.007543934],"genre_scores_gemma":[0.99576795,0.0017766248,0.00017805565,0.0001344891,0.000038499784,0.0000036039578,0.0007364797,0.0000065910917,0.0013577474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996815,0.000068927664,0.000056231802,0.00005496163,0.00009123355,0.00004717258],"domain_scores_gemma":[0.9946274,0.0014966485,0.0025154208,0.00030823296,0.0008447263,0.00020754796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014058381,0.00019641286,0.00021505069,0.00094917865,0.00021820606,0.0014207284,0.00024048875,0.00026583255,0.0033406978],"category_scores_gemma":[0.0052667847,0.00010853076,0.00022602992,0.0012613119,0.000757106,0.0016407938,0.0005472432,0.00040150687,0.00039652397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008575228,0.00019244729,0.91377044,0.00056065875,0.000246253,0.0016900618,0.0012894745,0.001595906,0.0020912,0.01066776,0.004931685,0.06210656],"study_design_scores_gemma":[0.000036600846,0.00016275134,0.9802428,0.00011983309,0.00016772446,0.0008633282,0.0025224627,0.0014880644,0.0014859054,0.0015968201,0.011285758,0.000028086135],"about_ca_topic_score_codex":0.004294463,"about_ca_topic_score_gemma":0.0030162397,"teacher_disagreement_score":0.004294463,"about_ca_system_score_codex":0.00036936314,"about_ca_system_score_gemma":0.00045467744,"threshold_uncertainty_score":0.011175752},"labels":[],"label_agreement":null},{"id":"W2936541192","doi":"10.5430/ijfr.v10n2p109","title":"Gender and Financial Constraints: An Empirical Investigation in Italy","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan; Sample (material); Bank credit; Ask price; Business; Capital (architecture); Economics; Finance; Monetary economics","score_opus":0.09606371911265578,"score_gpt":0.36374035748690164,"score_spread":0.2676766383742459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936541192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973029,0.00032571412,0.00005019772,0.00022540071,0.000005844515,0.000019746527,0.00020331939,0.0000013725315,0.001865559],"genre_scores_gemma":[0.99888855,0.00023102203,0.00004348739,0.00007871892,0.00001853946,0.00001948939,0.0002019685,0.000001927026,0.0005162951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994615,0.00020015903,0.00002250297,0.00007624587,0.00006365613,0.00017602507],"domain_scores_gemma":[0.99665654,0.0013566093,0.0012557945,0.00011763736,0.0000986773,0.0005146835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010055533,0.00024569957,0.0004023594,0.0011691394,0.00066722574,0.0009525493,0.00038209098,0.0006154182,0.006005898],"category_scores_gemma":[0.0034670576,0.00022233983,0.00032239285,0.0018219678,0.0007761876,0.0004951783,0.00085326924,0.000685266,0.00056185963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012533533,0.00024384537,0.99094725,0.000036346006,0.000025072895,0.00028646042,0.0026941295,0.000059018068,0.000070330745,0.00024151505,0.0008157179,0.004455073],"study_design_scores_gemma":[0.0000104550845,0.00009063326,0.9957593,0.00003201053,0.000017667613,0.00018637502,0.0029013015,0.0001608473,0.000015042777,0.00006619151,0.0007561939,0.0000039786096],"about_ca_topic_score_codex":0.020406285,"about_ca_topic_score_gemma":0.029115284,"teacher_disagreement_score":0.020406285,"about_ca_system_score_codex":0.0006401358,"about_ca_system_score_gemma":0.0006385101,"threshold_uncertainty_score":0.040574968},"labels":[],"label_agreement":null},{"id":"W2940309790","doi":"10.5430/ijfr.v10n2p121","title":"Analysis of Factors Influencing Financial Performance of Savings and Credit Co-operative Societies in Lesotho: Evidence From Maseru District","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loan; Descriptive statistics; Sample (material); Simple random sample; Business; Sample size determination; Finance; Actuarial science; Statistics; Mathematics; Population","score_opus":0.07402351166257361,"score_gpt":0.35454143094000046,"score_spread":0.28051791927742686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940309790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99901974,0.00013983756,0.0000119989345,0.00009776844,0.0000025052982,0.000010875381,0.000083081344,6.6703063e-7,0.00063357246],"genre_scores_gemma":[0.99943525,0.00020133442,0.00003542046,0.000027466514,0.0000050689173,0.000012004909,0.000101439575,5.9071243e-7,0.00018127504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995486,0.00014433607,0.00004203152,0.00005038667,0.00008220289,0.0001323429],"domain_scores_gemma":[0.9986657,0.00029073702,0.0005414649,0.000031138014,0.00017486003,0.00029610118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039883764,0.00028391124,0.00024251753,0.0015377019,0.0013971579,0.0010405757,0.00048584028,0.00033978687,0.0021108023],"category_scores_gemma":[0.0014704927,0.00023043113,0.00023640094,0.0020239903,0.0010722368,0.00059446436,0.0009543666,0.00035632853,0.00021129103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034314802,0.00010173678,0.9828363,0.00013347896,0.000029882529,0.0010021821,0.01056257,0.000039834275,0.00033170704,0.000121386045,0.00025478416,0.004551797],"study_design_scores_gemma":[0.0000018625666,0.000050388364,0.9814253,0.000043240085,0.000014788362,0.00020646464,0.017651524,0.00007096377,0.000033425273,0.000026220338,0.0004703772,0.00000551146],"about_ca_topic_score_codex":0.04878775,"about_ca_topic_score_gemma":0.11808808,"teacher_disagreement_score":0.04878775,"about_ca_system_score_codex":0.0010251919,"about_ca_system_score_gemma":0.001234959,"threshold_uncertainty_score":0.09700751},"labels":[],"label_agreement":null},{"id":"W2940937759","doi":"10.5430/ijfr.v10n2p137","title":"Risks Faced by Islamic Banks: A Study on the Compliance Between Theory and Practice","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Islam; Compliance (psychology); Business; Islamic banking; Risk management; Obstacle; Accounting; Face (sociological concept); Sample (material); Risk analysis (engineering); Actuarial science; Finance; Law; Political science; Sociology; Psychology","score_opus":0.13585437257415214,"score_gpt":0.42223731434135364,"score_spread":0.28638294176720147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940937759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912866,0.00017383537,0.0010328843,0.0020865188,0.000014776851,0.00007836815,0.000010406911,0.000004179613,0.0053124875],"genre_scores_gemma":[0.99816614,0.0002589549,0.0007234559,0.00027874985,0.00000671981,0.000046160992,0.0000072010025,0.0000027931026,0.0005099957],"study_design_codex":"qualitative","study_design_gemma":"design_other","domain_scores_codex":[0.9752603,0.016475072,0.0011132761,0.0008721245,0.005108534,0.0011705627],"domain_scores_gemma":[0.94464904,0.037923556,0.00906901,0.0014529601,0.004916254,0.0019891688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023499481,0.0002841151,0.00045380628,0.0019896217,0.0046535437,0.005640676,0.0012664837,0.0022478579,0.0013093874],"category_scores_gemma":[0.04588458,0.0006095977,0.00029024718,0.0017928103,0.011135463,0.0037624973,0.0041064024,0.003164252,0.00026498133],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044889726,0.00029816452,0.03917944,0.00015566911,0.000010832485,0.00061350723,0.9320541,0.00021077882,0.0006596925,0.009959649,0.0007360181,0.01607727],"study_design_scores_gemma":[0.000010718693,0.00021985582,0.023620825,0.00038345545,0.000010771456,0.00052145764,0.96427697,0.0009144472,0.0003759753,0.0025876497,0.007039594,0.000038258117],"about_ca_topic_score_codex":0.0029327509,"about_ca_topic_score_gemma":0.002569241,"teacher_disagreement_score":0.023499481,"about_ca_system_score_codex":0.004391784,"about_ca_system_score_gemma":0.007520775,"threshold_uncertainty_score":0.124278605},"labels":[],"label_agreement":null},{"id":"W2942311166","doi":"10.5430/ijfr.v10n2p147","title":"Trading the Dream: Does Social Media Affect Investors’ Activity - The Story of Twitter, Telegram and Reddit","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Social media; Affect (linguistics); Volume (thermodynamics); Dream; Business; Skepticism; Advertising; Internet privacy; Tracking (education); Monetary economics; Economics; Computer science; Computer security; World Wide Web; Psychology","score_opus":0.048146879352398274,"score_gpt":0.3493145763363477,"score_spread":0.30116769698394946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942311166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88761914,0.0036135125,0.0005354314,0.06654897,0.0005626175,0.00002855265,0.002186338,0.000034911314,0.038870554],"genre_scores_gemma":[0.9910285,0.0017302139,0.00014493175,0.002302604,0.0003577294,0.000014856914,0.00042773428,0.000024768358,0.0039688116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994848,0.00022862703,0.000021120653,0.00007716284,0.00009617799,0.000092169605],"domain_scores_gemma":[0.9878753,0.0065817437,0.0030332129,0.0003177837,0.0010846504,0.0011073541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012854958,0.00023792841,0.00030759317,0.00095984427,0.0011473092,0.0042846487,0.0003657014,0.0013045607,0.0059031253],"category_scores_gemma":[0.0104601635,0.00016554793,0.00032976802,0.0012340255,0.0012364255,0.005836562,0.0014399915,0.0023529609,0.0014357967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001322597,0.00043269634,0.7810572,0.00037274227,0.00039313003,0.0016777845,0.025987493,0.0006173007,0.0015972672,0.03357852,0.06834118,0.084622175],"study_design_scores_gemma":[0.00011322423,0.00043067895,0.77434856,0.0006392708,0.0003468344,0.00063845864,0.092553765,0.006303783,0.0023186295,0.025001064,0.0971263,0.00017944418],"about_ca_topic_score_codex":0.0063856123,"about_ca_topic_score_gemma":0.008995013,"teacher_disagreement_score":0.0063856123,"about_ca_system_score_codex":0.00067931693,"about_ca_system_score_gemma":0.00050738116,"threshold_uncertainty_score":0.019747913},"labels":[],"label_agreement":null},{"id":"W2943751777","doi":"10.5430/ijfr.v10n4p1","title":"Competing With Bitcoin - Some Policy Considerations for Issuing Digitalized Legal Tenders","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Call for bids; Virtual currency; Payment; Government (linguistics); Monetary policy; Business; Digital currency; Currency; Economics; Finance; Procurement; Monetary economics; Marketing","score_opus":0.039985642910891586,"score_gpt":0.3663431950576692,"score_spread":0.32635755214677764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943751777","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13339825,0.014389475,0.14096127,0.2273052,0.0017249439,0.0004810466,0.00032894753,0.00056963466,0.4808412],"genre_scores_gemma":[0.9442563,0.0033162476,0.018856809,0.010448052,0.0011752764,0.00030333243,0.00008097428,0.00014147047,0.021421526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97830725,0.011363815,0.0011818109,0.0020764119,0.005078104,0.0019925218],"domain_scores_gemma":[0.92871344,0.051549062,0.004954493,0.006459188,0.006326224,0.0019975947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022665212,0.0004149499,0.00066207594,0.0016330781,0.0031100237,0.015220593,0.0024885305,0.007974679,0.018201282],"category_scores_gemma":[0.079175286,0.00054580753,0.0008792949,0.0016412531,0.0062933452,0.022240292,0.0035957596,0.006876903,0.0022398885],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020125047,0.000059894388,0.0010354262,0.000168934,0.000014735477,0.00033420185,0.00064119225,0.0026677952,0.00091734546,0.9554062,0.006121836,0.032431256],"study_design_scores_gemma":[0.00019912377,0.00034018615,0.0026975085,0.0011715214,0.00006255748,0.0015276371,0.0025279343,0.022242088,0.005066434,0.75932664,0.2046745,0.00016393523],"about_ca_topic_score_codex":0.002607651,"about_ca_topic_score_gemma":0.0021802273,"teacher_disagreement_score":0.022665212,"about_ca_system_score_codex":0.0040152767,"about_ca_system_score_gemma":0.004468692,"threshold_uncertainty_score":0.11986655},"labels":[],"label_agreement":null},{"id":"W2944891898","doi":"10.5430/ijfr.v10n3p371","title":"Green Supply Chain Management (GSCM) Practices for Sustainability Performance: An Empirical Evidence of Malaysian SMEs","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Business; Sustainability; Supply chain management; Supply chain; Empirical research; Empirical evidence; Certification; Purchasing; Environmental economics; Industrial organization; Marketing; Environmental resource management; Economics; Management","score_opus":0.0894247771091692,"score_gpt":0.4159564076582516,"score_spread":0.3265316305490824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944891898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99662954,0.00042600516,0.00007262307,0.00018557283,0.0000022368797,0.000008656467,0.00003461633,0.0000019549357,0.002638752],"genre_scores_gemma":[0.99929714,0.0003362551,0.00008477656,0.000018477484,0.0000015129307,0.000002842161,0.00001906337,6.664203e-7,0.00023921988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905306,0.0002677794,0.00013280917,0.000077183664,0.0003490028,0.000120228455],"domain_scores_gemma":[0.98998904,0.0031920024,0.004112834,0.0002669811,0.0017044157,0.00073473284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619369,0.00018845861,0.00012621844,0.0009503759,0.00050963525,0.0012600794,0.00023086634,0.00034305005,0.0017628237],"category_scores_gemma":[0.0060638785,0.00011608194,0.00020885383,0.0016149092,0.0005663802,0.0012645465,0.00074502476,0.0003815408,0.00026112533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007756036,0.0002797532,0.93828917,0.0005059409,0.000045971625,0.00071867293,0.010897356,0.0004069182,0.0011231954,0.0011347148,0.00053818675,0.045982547],"study_design_scores_gemma":[0.000004522964,0.00031593908,0.966575,0.00052689464,0.000050339295,0.000311056,0.026013877,0.0006555618,0.0010943024,0.00039167865,0.004042395,0.000018494613],"about_ca_topic_score_codex":0.0042934315,"about_ca_topic_score_gemma":0.008005816,"teacher_disagreement_score":0.0042934315,"about_ca_system_score_codex":0.0007988993,"about_ca_system_score_gemma":0.0016164429,"threshold_uncertainty_score":0.008564115},"labels":[],"label_agreement":null},{"id":"W2944896629","doi":"10.5430/ijfr.v10n3p267","title":"Value Relevance of Intangible Assets Before and After FRS 138 Adoptions: Evidence From Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Book value; Intangible asset; Relevance (law); Business; Asset (computer security); Value (mathematics); Product (mathematics); Agriculture; Fixed asset; Capital asset; Business operations; Commerce; Finance; Marketing; Industrial organization; Economics; Production (economics); Earnings","score_opus":0.02838397380877376,"score_gpt":0.3257327709856094,"score_spread":0.2973487971768356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944896629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988906,0.00012753956,0.000019086348,0.00008474611,0.0000022537427,0.000005446534,0.00007249831,8.155092e-7,0.0007970934],"genre_scores_gemma":[0.9990722,0.00025539755,0.000056102755,0.0000192651,0.0000035260623,0.0000037094865,0.00009670657,7.2139164e-7,0.0004923593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905914,0.00014983313,0.0001035723,0.00010614399,0.0003402625,0.0002410104],"domain_scores_gemma":[0.98581123,0.0021404163,0.008647726,0.00040458897,0.002049924,0.0009461336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014936386,0.0002367973,0.00018389097,0.0012413581,0.00042093618,0.001231556,0.00044791083,0.00047582848,0.0018185881],"category_scores_gemma":[0.0068249507,0.00019666435,0.00045815084,0.0014416175,0.00075295015,0.0014651602,0.00076563004,0.0011646077,0.00026443895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101757316,0.00017927666,0.9764801,0.00008032986,0.000030366653,0.00054894533,0.0035554427,0.00013373706,0.00045285054,0.0003193283,0.0002372309,0.017880628],"study_design_scores_gemma":[0.0000012947644,0.00011087695,0.99485826,0.000041967032,0.000010101582,0.00006372212,0.0039881,0.00008764934,0.00025577287,0.000031419568,0.0005449785,0.000005847718],"about_ca_topic_score_codex":0.03139133,"about_ca_topic_score_gemma":0.04487829,"teacher_disagreement_score":0.03139133,"about_ca_system_score_codex":0.0015930565,"about_ca_system_score_gemma":0.0016704593,"threshold_uncertainty_score":0.06241721},"labels":[],"label_agreement":null},{"id":"W2944966038","doi":"10.5430/ijfr.v10n3p1","title":"Leaders’ Emotional Intelligence and Employee Retention: Mediation of Job Satisfaction in the Hospitality Industry","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Mediation; Employee retention; Emotional intelligence; Job satisfaction; Hospitality; Hospitality industry; Emotional contagion; Social psychology; Applied psychology; Marketing; Business; Political science","score_opus":0.08060333463063751,"score_gpt":0.35629332225816013,"score_spread":0.2756899876275226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944966038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961591,0.0001946913,0.00028477857,0.00054585026,0.000028703003,0.000015600477,0.00002764361,0.0000063453394,0.002737268],"genre_scores_gemma":[0.99916446,0.00008163111,0.00007601473,0.000048737653,0.000011771993,0.0000061917017,0.000017136303,0.0000012527606,0.00059277134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987571,0.00054966693,0.000052772524,0.00008493317,0.00019032536,0.0003651765],"domain_scores_gemma":[0.99634874,0.0015276914,0.00070459826,0.00019990554,0.0004319743,0.00078711484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817155,0.00034546573,0.00030945832,0.00049681624,0.0007280684,0.0014949569,0.00049602176,0.00047322758,0.005923191],"category_scores_gemma":[0.004349773,0.0001865453,0.0005580258,0.00032030346,0.00047237327,0.0005437588,0.0010602555,0.0011630402,0.00036743344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036395612,0.0017325439,0.95060706,0.00011722408,0.00027002182,0.0006330702,0.0062365397,0.00028950223,0.0010073417,0.0014483657,0.0008412815,0.036453087],"study_design_scores_gemma":[0.000021058782,0.000499814,0.9865261,0.00013361908,0.00014579948,0.00019274664,0.008811575,0.0015581747,0.00044405184,0.00067518465,0.0009763701,0.000015525211],"about_ca_topic_score_codex":0.005070444,"about_ca_topic_score_gemma":0.0067364336,"teacher_disagreement_score":0.005923191,"about_ca_system_score_codex":0.00039543436,"about_ca_system_score_gemma":0.0018779562,"threshold_uncertainty_score":0.019815028},"labels":[],"label_agreement":null},{"id":"W2945171479","doi":"10.5430/ijfr.v10n3p132","title":"Do Perceived Pressure and Perceived Opportunity Influence Employees’ Intention to Commit Fraud?","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Commit; Business; Globe; Psychology; Computer science","score_opus":0.28917694940647065,"score_gpt":0.5105308259151764,"score_spread":0.22135387650870575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945171479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784315,0.0001629264,0.00008690519,0.0004494074,0.00001622543,0.00000967797,0.000026302989,0.000002290282,0.0014031123],"genre_scores_gemma":[0.99949884,0.000094378636,0.000049687966,0.00006893112,0.000007979545,0.0000062777244,0.00002293543,0.0000010027179,0.00024991314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983102,0.0006357502,0.00013629206,0.00014589993,0.0004275548,0.0003442332],"domain_scores_gemma":[0.98322034,0.007947804,0.0039513344,0.00048222105,0.0010706482,0.00332756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016072538,0.000221439,0.00030753983,0.0006288218,0.0006907965,0.0019803934,0.00032804185,0.0010310418,0.0037125526],"category_scores_gemma":[0.012978784,0.00027384775,0.0006092277,0.00042815862,0.0008360756,0.00070698716,0.00069135206,0.0014147196,0.0004819237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085619686,0.00073330954,0.98774534,0.000038957347,0.00006910187,0.000119754484,0.0033193436,0.000062648585,0.00025285524,0.00023793161,0.00031296347,0.0070222877],"study_design_scores_gemma":[0.000008345389,0.00018186793,0.9929436,0.00004027118,0.000034044362,0.000062390594,0.005492656,0.00042437864,0.0001017498,0.0002157129,0.00048098492,0.000014089406],"about_ca_topic_score_codex":0.0043046353,"about_ca_topic_score_gemma":0.00499353,"teacher_disagreement_score":0.0043046353,"about_ca_system_score_codex":0.00043694166,"about_ca_system_score_gemma":0.001055286,"threshold_uncertainty_score":0.01241976},"labels":[],"label_agreement":null},{"id":"W2945256091","doi":"10.5430/ijfr.v10n3p252","title":"Talent Management for Shariah Auditors: Case Study Evidence From the Practitioners","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Business; Economic shortage; Accounting; Islam; Internal audit; Competitive advantage; External auditor; Public relations; Marketing; Government (linguistics); Political science","score_opus":0.07795717368231465,"score_gpt":0.38679444256000606,"score_spread":0.3088372688776914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945256091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99560285,0.0004706755,0.00028569507,0.0010264793,0.000012692915,0.000060075596,0.000008610402,0.0000024426658,0.0025304738],"genre_scores_gemma":[0.9967415,0.0008241967,0.00049547513,0.00030263938,0.000014738069,0.000043248576,0.0000065674285,0.0000022210577,0.0015694728],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9940096,0.0036213768,0.00026096014,0.00028830726,0.0009065499,0.00091315137],"domain_scores_gemma":[0.9832933,0.009663574,0.0020445029,0.0005013974,0.002353958,0.0021432748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01050441,0.00022843567,0.00039043522,0.0016668774,0.005910388,0.0033385963,0.0012420565,0.001989971,0.0028424677],"category_scores_gemma":[0.015241148,0.0003986478,0.00023877746,0.0018465784,0.0028382652,0.0020552767,0.002736294,0.001698124,0.0003239537],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015134783,0.0014116105,0.073574394,0.0009070665,0.000018298344,0.013241954,0.8514316,0.00030699963,0.0014160485,0.004498103,0.003248976,0.049793575],"study_design_scores_gemma":[0.000019283672,0.0004592197,0.026354063,0.0006518536,0.0000151043205,0.0034119184,0.95373815,0.00042904928,0.00057652337,0.00040736012,0.01391202,0.000025424606],"about_ca_topic_score_codex":0.0075306897,"about_ca_topic_score_gemma":0.023578865,"teacher_disagreement_score":0.01050441,"about_ca_system_score_codex":0.0044437954,"about_ca_system_score_gemma":0.007011726,"threshold_uncertainty_score":0.055553317},"labels":[],"label_agreement":null},{"id":"W2945340008","doi":"10.5430/ijfr.v10n3p291","title":"Effect of Demographics, Attitudes and Learning Facilities on Management Accounting Performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demographics; Accounting; Psychology; Medical education; Management accounting; Test (biology); Business; Medicine; Sociology","score_opus":0.018429562131885378,"score_gpt":0.3232044970362158,"score_spread":0.3047749349043304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945340008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989442,0.000037885926,0.000031067968,0.000055583543,0.000003880632,0.0000032772296,0.000040042618,0.0000027710018,0.0008812485],"genre_scores_gemma":[0.9993456,0.00003260457,0.000030196401,0.000018628638,0.0000056727613,0.000002973731,0.00004930177,0.0000012104425,0.00051386456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999092,0.00027462596,0.000100512596,0.00008751394,0.00025227977,0.00019313119],"domain_scores_gemma":[0.9905427,0.002501363,0.0031781644,0.0002495987,0.00082246494,0.0027056718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010002223,0.00021283966,0.00018853536,0.0008602201,0.00043929697,0.0011925539,0.00022952838,0.0003726478,0.0051000942],"category_scores_gemma":[0.0063146753,0.00011896208,0.00032930242,0.00058627455,0.00041487397,0.0006206367,0.0005105345,0.0006913033,0.0010472878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007810041,0.00043831195,0.99292094,0.000008958139,0.000022679324,0.00010426024,0.00043985737,0.000072356284,0.0002754654,0.0000382705,0.00012629104,0.0054744943],"study_design_scores_gemma":[0.0000020132302,0.00033079396,0.9976172,0.0000067067117,0.000011588358,0.000089652094,0.0012902879,0.0001661434,0.00017996383,0.00003404004,0.00026211067,0.0000093401],"about_ca_topic_score_codex":0.0024168142,"about_ca_topic_score_gemma":0.0032901447,"teacher_disagreement_score":0.0051000942,"about_ca_system_score_codex":0.00032510588,"about_ca_system_score_gemma":0.00046043601,"threshold_uncertainty_score":0.017061532},"labels":[],"label_agreement":null},{"id":"W2945343343","doi":"10.5430/ijfr.v10n3p144","title":"Effect of Employees’ Understanding on Risk Management Process on Risk Management: A Case Study in a Non-profit Organisation","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Risk management; IT risk management; Business; Knowledge management; Risk analysis (engineering); Enterprise risk management; Originality; Risk management plan; Risk management information systems; Risk assessment; Profit (economics); Financial risk management; Psychology; Computer science; Finance; Economics; Engineering; Management; Information system; Management information systems; Creativity","score_opus":0.03461885563200473,"score_gpt":0.35894298829706733,"score_spread":0.3243241326650626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945343343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994373,0.0000332259,0.00007674505,0.000103620885,0.0000016425778,0.000015121136,0.0000027750386,0.000001169012,0.00032850102],"genre_scores_gemma":[0.9994178,0.00007348161,0.0001357556,0.000056949928,0.0000031406812,0.000014555028,0.0000039686333,0.000001243501,0.0002931538],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99374545,0.0034906368,0.00031635628,0.0003067561,0.0011219099,0.0010190309],"domain_scores_gemma":[0.9587332,0.028666032,0.005608132,0.0013886475,0.002322836,0.0032811284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008392071,0.00029716836,0.00038894924,0.0009033362,0.0032042388,0.0023500992,0.0008122192,0.0013165748,0.002784352],"category_scores_gemma":[0.016853651,0.0003220884,0.00051992224,0.0004930132,0.0019837325,0.0016576176,0.0016421754,0.0018330502,0.0002962264],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006678871,0.012451955,0.38544488,0.0004236944,0.0000964701,0.010269826,0.54107714,0.0008509329,0.0028874702,0.0011384276,0.0010746915,0.04361664],"study_design_scores_gemma":[0.000081715465,0.0062024086,0.2766296,0.00027198956,0.00013611343,0.0033709244,0.7047003,0.002079376,0.0021092019,0.00072394824,0.0035844687,0.00010996343],"about_ca_topic_score_codex":0.0046002874,"about_ca_topic_score_gemma":0.0066632917,"teacher_disagreement_score":0.008392071,"about_ca_system_score_codex":0.0022020913,"about_ca_system_score_gemma":0.0035219907,"threshold_uncertainty_score":0.044382036},"labels":[],"label_agreement":null},{"id":"W2945413597","doi":"10.5430/ijfr.v10n3p353","title":"Exploring the Relationship Between Innovation Capability, Total Quality Management and SMEs Performance in Electric Fan Industry of Pakistan: Moderating Effect of Relational Learning","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Context (archaeology); Quality (philosophy); Marketing; Business; Sample (material); Manufacturing; Government (linguistics); Knowledge management; Computer science","score_opus":0.13521679378481508,"score_gpt":0.3852856937604881,"score_spread":0.25006889997567305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945413597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814546,0.00008420831,0.0001384155,0.00020337885,0.0000038468,0.000009765116,0.000028617966,0.0000017709655,0.0013844962],"genre_scores_gemma":[0.9995951,0.00006341245,0.000090840374,0.000021389367,0.0000040664527,0.000005816792,0.000023858673,5.084096e-7,0.00019491823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986891,0.00044449818,0.00008660424,0.00019055922,0.00024816825,0.00034109832],"domain_scores_gemma":[0.9892898,0.0054892544,0.0028246439,0.0002850014,0.000848101,0.001263268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017994735,0.00034204373,0.0003290592,0.0006706502,0.0009152831,0.0015485118,0.00036112656,0.00043914223,0.0038848843],"category_scores_gemma":[0.005886298,0.00016180449,0.0004594942,0.00063746487,0.00073098036,0.0010497385,0.0013836464,0.0007901238,0.00022451225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013108215,0.00044745993,0.9797044,0.00009941685,0.000094041636,0.0004175101,0.0032964975,0.00036071305,0.00053057953,0.0007035073,0.00016466869,0.014050033],"study_design_scores_gemma":[0.000012466407,0.00047947763,0.9864841,0.000102180915,0.00010224251,0.00013956142,0.009532636,0.0012988609,0.00066720875,0.00051222474,0.00065274996,0.000016260485],"about_ca_topic_score_codex":0.008062876,"about_ca_topic_score_gemma":0.011100416,"teacher_disagreement_score":0.008062876,"about_ca_system_score_codex":0.0009084048,"about_ca_system_score_gemma":0.0029807875,"threshold_uncertainty_score":0.016031861},"labels":[],"label_agreement":null},{"id":"W2945575789","doi":"10.5430/ijfr.v10n3p194","title":"Liquidity, Growth and Profitability of Non-financial Public Listed Malaysia: A Malaysian Evidence","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Market liquidity; Business; Panel data; Return on equity; Return on assets; Monetary economics; Equity (law); Asset (computer security); Finance; Financial system; Economics; Econometrics","score_opus":0.05621956283047836,"score_gpt":0.32454756017858766,"score_spread":0.2683279973481093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945575789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966865,0.0008710576,0.00004276486,0.00026136765,0.0000033827644,0.0000037029727,0.00046472801,0.0000026541597,0.0016639028],"genre_scores_gemma":[0.99876785,0.0005301267,0.000035566845,0.000022643115,0.000010472001,0.0000015497521,0.0003142727,5.4053373e-7,0.00031705885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999744,0.000063993604,0.00003297673,0.000040335482,0.0000672692,0.000051383344],"domain_scores_gemma":[0.9960193,0.0009663489,0.002301247,0.00008261834,0.0003226031,0.0003079563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005260271,0.00018729815,0.00015536575,0.0010806132,0.00021544166,0.0008834789,0.00023243915,0.00031847318,0.0012589026],"category_scores_gemma":[0.001440298,0.000104724975,0.00021916209,0.0011762892,0.00033707524,0.0006978731,0.00046893157,0.00042437657,0.00026890196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074250944,0.000045825807,0.99325037,0.00005451767,0.000043325643,0.0002813805,0.00029915027,0.00021219286,0.00017364767,0.00021593395,0.00027436027,0.0050750216],"study_design_scores_gemma":[0.000002973067,0.00006761882,0.99748504,0.000046328332,0.000029317052,0.0002059519,0.0006564004,0.0005278109,0.00021691559,0.00009652909,0.0006593123,0.0000057597213],"about_ca_topic_score_codex":0.012176203,"about_ca_topic_score_gemma":0.01759964,"teacher_disagreement_score":0.012176203,"about_ca_system_score_codex":0.0005497584,"about_ca_system_score_gemma":0.0005877012,"threshold_uncertainty_score":0.024210691},"labels":[],"label_agreement":null},{"id":"W2945596792","doi":"10.5430/ijfr.v10n3p299","title":"Government-Linked Investment Companies and Real Earnings Management: Malaysian Evidence","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings management; Business; Government (linguistics); Incentive; Corporate governance; Accounting; Investment (military); Earnings; Finance; Cash flow; Sample (material); Economic interventionism; Audit; Economics; Market economy","score_opus":0.034013342219846004,"score_gpt":0.3075849962257608,"score_spread":0.27357165400591477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945596792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942846,0.0019150435,0.00008103527,0.00041960418,0.0000065706995,0.000004909741,0.0003129623,0.000002504362,0.0029728198],"genre_scores_gemma":[0.9984018,0.0010280437,0.00005645953,0.000033961132,0.000010422749,0.0000012830996,0.00017948945,5.592162e-7,0.00028805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994696,0.00014142995,0.00007695333,0.00009145818,0.00014246159,0.000078130586],"domain_scores_gemma":[0.98804784,0.0024549377,0.00825894,0.0002584049,0.0005513313,0.0004285969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093748566,0.00019086174,0.00014744863,0.0013253986,0.00027027138,0.001024853,0.00035221758,0.00033574455,0.0024102472],"category_scores_gemma":[0.0037487869,0.00013427128,0.00021892565,0.0016224873,0.00055120786,0.00075571524,0.0005879979,0.00045888117,0.0002968399],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026339394,0.00003344317,0.9925362,0.000058534333,0.00004989128,0.00015446132,0.00032505696,0.0000988954,0.00003987099,0.00035253217,0.00018999663,0.0061349072],"study_design_scores_gemma":[0.0000024136568,0.000034186152,0.9964545,0.00010367514,0.000043111613,0.00017567968,0.0012927565,0.0003775058,0.00013787166,0.00009507752,0.0012785366,0.0000047872695],"about_ca_topic_score_codex":0.017589822,"about_ca_topic_score_gemma":0.028566964,"teacher_disagreement_score":0.017589822,"about_ca_system_score_codex":0.00068650406,"about_ca_system_score_gemma":0.0006849157,"threshold_uncertainty_score":0.034974873},"labels":[],"label_agreement":null},{"id":"W2945599120","doi":"10.5430/ijfr.v10n3p170","title":"Factors Influencing Knowledge and Persuasion of Financial Regulators in the XBRL Adoption Process: The Technological Perspective","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA; Tenaga Nasional Berhad","keywords":"XBRL; Persuasion; Context (archaeology); Business; Process (computing); Knowledge management; Perspective (graphical); Marketing; Process management; Accounting; Computer science; Psychology","score_opus":0.05325592553466898,"score_gpt":0.3636458646171039,"score_spread":0.31038993908243495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945599120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98382217,0.00031956495,0.0016653644,0.0021922423,0.000017942959,0.00006724084,0.000014817158,0.000017744185,0.01188285],"genre_scores_gemma":[0.9984073,0.00015728583,0.00054804643,0.00015821391,0.0000079779875,0.000014258698,0.000007707051,0.000003811728,0.00069539936],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9847841,0.008143369,0.00084823073,0.0008111585,0.0038940995,0.0015190451],"domain_scores_gemma":[0.90586865,0.05950578,0.020604165,0.0016442306,0.009283469,0.0030936059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013649715,0.00027208406,0.00023575629,0.0016465435,0.0014746534,0.006109468,0.0006414934,0.0017947254,0.0032143309],"category_scores_gemma":[0.063747175,0.00028659985,0.00037056068,0.00079997076,0.0021503281,0.0035361466,0.0016083829,0.0024213248,0.00039428516],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002246704,0.0011684578,0.6655277,0.00052778143,0.00009899974,0.0023629353,0.22676614,0.0009157827,0.004235421,0.008910709,0.0013093284,0.08795209],"study_design_scores_gemma":[0.000057029487,0.00083079276,0.5558646,0.0009838581,0.0001542483,0.001259954,0.3990058,0.005213777,0.0037037618,0.0047444305,0.02795388,0.00022784898],"about_ca_topic_score_codex":0.005991082,"about_ca_topic_score_gemma":0.004379379,"teacher_disagreement_score":0.013649715,"about_ca_system_score_codex":0.0022227098,"about_ca_system_score_gemma":0.0043852897,"threshold_uncertainty_score":0.07218748},"labels":[],"label_agreement":null},{"id":"W2945620210","doi":"10.5430/ijfr.v10n3p88","title":"The Influence of Work Overload, Time Pressure and Social Influence Pressure on Auditors’ Job Performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Government (linguistics); Psychology; Business; Work (physics); Job performance; Applied psychology; Accounting; Public relations; Job satisfaction; Social psychology; Political science; Engineering","score_opus":0.012854263976912193,"score_gpt":0.28877399589399827,"score_spread":0.2759197319170861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945620210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973054,0.00022289706,0.000058523412,0.00020755516,0.000013156829,0.000007195699,0.000027429947,0.0000027784095,0.0021549363],"genre_scores_gemma":[0.9995859,0.00009404166,0.000025016612,0.000019910736,0.000018511542,0.000003035664,0.000015974452,9.1664435e-7,0.00023676862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762565,0.0008327817,0.00014237722,0.00011200698,0.0007633083,0.0005239141],"domain_scores_gemma":[0.99016625,0.003404485,0.0027200396,0.00021565343,0.00081856287,0.0026750371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010107157,0.00024619387,0.00021980244,0.00079223554,0.0008148569,0.0012816436,0.00018595358,0.00033439015,0.0025582158],"category_scores_gemma":[0.006877248,0.00013352794,0.00038866716,0.00044856334,0.00057993946,0.00035933303,0.00073657767,0.00044891707,0.00021070799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016803728,0.0003471386,0.9805157,0.00004233206,0.00007233171,0.00028189892,0.0016726536,0.00013870515,0.0005632633,0.00013402785,0.0003922219,0.015671657],"study_design_scores_gemma":[0.0000018177208,0.00010979822,0.9982153,0.000013822894,0.000010941933,0.00005436313,0.0011281252,0.00012762593,0.000058481364,0.000041704046,0.00023268792,0.000005384789],"about_ca_topic_score_codex":0.006243652,"about_ca_topic_score_gemma":0.008326414,"teacher_disagreement_score":0.006243652,"about_ca_system_score_codex":0.000476198,"about_ca_system_score_gemma":0.0011634778,"threshold_uncertainty_score":0.012414634},"labels":[],"label_agreement":null},{"id":"W2945649464","doi":"10.5430/ijfr.v10n3p181","title":"The Effect of Transparency, Competency and Religiosity on Public Officers’ Ethical Behaviour","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Religiosity; Transparency (behavior); Psychology; Public relations; Social psychology; Interpersonal communication; Enforcement; Ethical values; Law enforcement; Business; Political science; Sociology; Law; Social science","score_opus":0.02734262544145743,"score_gpt":0.3290719097071378,"score_spread":0.30172928426568035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945649464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805826,0.000054241125,0.000070654765,0.00018819666,0.000003556492,0.0000054730885,0.0000074188224,0.0000010869531,0.0016110437],"genre_scores_gemma":[0.9996326,0.00004402892,0.000062592095,0.000024926661,0.0000023656296,0.0000021822445,0.0000059103845,5.6626357e-7,0.00022472926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979336,0.0010924814,0.00011648557,0.00007658736,0.00049916044,0.00028162813],"domain_scores_gemma":[0.97878176,0.0060509085,0.010030239,0.00073017203,0.0012893017,0.0031175448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020338024,0.00014223317,0.00013137885,0.0004550536,0.00066047267,0.0011035411,0.00015675486,0.00027954148,0.0022180236],"category_scores_gemma":[0.013098766,0.00014630763,0.00020705424,0.00031489757,0.0010519736,0.0003977155,0.0007817351,0.0008775653,0.00017248339],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006737475,0.0002919105,0.97915524,0.000034693323,0.00004739732,0.00020240153,0.007814892,0.00008036387,0.00053589424,0.00034507056,0.00019228824,0.011232569],"study_design_scores_gemma":[0.0000039220313,0.0001308013,0.9875295,0.000037041675,0.000013249714,0.00011372139,0.010904938,0.00021719297,0.00012742875,0.00020371193,0.00070883223,0.000009779263],"about_ca_topic_score_codex":0.004507815,"about_ca_topic_score_gemma":0.0071511227,"teacher_disagreement_score":0.004507815,"about_ca_system_score_codex":0.0006264514,"about_ca_system_score_gemma":0.00118399,"threshold_uncertainty_score":0.010755897},"labels":[],"label_agreement":null},{"id":"W2945702611","doi":"10.5430/ijfr.v10n3p107","title":"Analysis of Abnormal Operating Performance Between Family Owned Firms and State Owned Firms in Indonesia and Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"State owned; Business; Originality; Stock exchange; Order (exchange); Government (linguistics); Stock (firearms); Industrial organization; Value (mathematics); Accounting; Finance; Market economy; Economics; Qualitative research","score_opus":0.03235619152740708,"score_gpt":0.2973522635953882,"score_spread":0.2649960720679811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945702611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932206,0.000052264757,0.000021516962,0.000021978833,0.0000015391967,0.0000015289834,0.000242276,0.0000014175986,0.0003355152],"genre_scores_gemma":[0.9995084,0.000031065483,0.000019177438,0.0000031449106,0.0000018241974,0.0000012494829,0.0003044445,5.125604e-7,0.00013028673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947137,0.000078944875,0.000077607925,0.00009278306,0.00015555498,0.00012381125],"domain_scores_gemma":[0.9945967,0.0008145865,0.0031821246,0.00014999823,0.00059131626,0.0006652248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006956298,0.00017070229,0.00022039718,0.0014758502,0.00026344848,0.0008889497,0.00025871018,0.00022894175,0.0011900959],"category_scores_gemma":[0.0027435797,0.00008519461,0.00023611556,0.00168401,0.00032131062,0.00076821825,0.00057696714,0.0003962817,0.00019916015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028954946,0.000020017485,0.99786466,0.0000045127886,0.000015326292,0.000071522845,0.00015624886,0.00008626726,0.00006689896,0.0000325033,0.000084483894,0.0015685278],"study_design_scores_gemma":[6.1756026e-7,0.000034839526,0.99884975,0.000004202286,0.0000045794577,0.000071559116,0.0005489873,0.00030292655,0.00006309399,0.000016039676,0.00010088114,0.000002468727],"about_ca_topic_score_codex":0.014728876,"about_ca_topic_score_gemma":0.016082255,"teacher_disagreement_score":0.014728876,"about_ca_system_score_codex":0.00085973827,"about_ca_system_score_gemma":0.00054465357,"threshold_uncertainty_score":0.029286265},"labels":[],"label_agreement":null},{"id":"W2945712993","doi":"10.5430/ijfr.v10n3p31","title":"Board Diversity and Corporate Sustainability Practices: Evidence on Environmental, Social and Governance (ESG) Reporting","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Accounting; Sustainability; Corporate governance; Gender diversity; Business; Diversity (politics); Sustainability reporting; Reputation; Corporate sustainability; Corporate social responsibility; Public relations; Finance; Political science; Ecology","score_opus":0.4263316060213434,"score_gpt":0.46047420914138365,"score_spread":0.03414260312004025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945712993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901688,0.0015368221,0.00018346531,0.00088937394,0.000022996644,0.00000776468,0.00024655016,0.000003087263,0.006941204],"genre_scores_gemma":[0.9988851,0.00054443494,0.000049498827,0.000058571353,0.000019146553,0.000002880158,0.00008390383,9.707217e-7,0.00035551266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968644,0.0012268348,0.00026827765,0.00030579363,0.0010066819,0.00032798017],"domain_scores_gemma":[0.9606116,0.010760313,0.023535734,0.0010385195,0.0022687851,0.0017851104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036046442,0.00012997938,0.00013969281,0.0018167192,0.0006471345,0.00119508,0.00028764637,0.00026275314,0.003095606],"category_scores_gemma":[0.017145729,0.00008737709,0.000169541,0.0026710455,0.0009202329,0.0011878172,0.0016248038,0.00045808617,0.0001556451],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030483008,0.000032610435,0.9789362,0.00008532847,0.000038275335,0.00008838621,0.0016973284,0.000053727486,0.00011523602,0.0006132604,0.00058486976,0.017724145],"study_design_scores_gemma":[0.0000013641773,0.00003081546,0.9930407,0.00011768852,0.000015572896,0.00006404401,0.003731597,0.00007306986,0.00012586701,0.00019688132,0.0025974226,0.000005127585],"about_ca_topic_score_codex":0.0065274765,"about_ca_topic_score_gemma":0.012997317,"teacher_disagreement_score":0.0065274765,"about_ca_system_score_codex":0.0006515631,"about_ca_system_score_gemma":0.00088073465,"threshold_uncertainty_score":0.019063413},"labels":[],"label_agreement":null},{"id":"W2945805023","doi":"10.5430/ijfr.v10n3p360","title":"Entrepreneurial Strategies and Factors Stimulate the Business of Tech Startups","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Context (archaeology); Government (linguistics); Entrepreneurship; High tech; Shareholder; Marketing; New business development; New Ventures; Business model; Industrial organization; Finance; Corporate governance","score_opus":0.042283841101888216,"score_gpt":0.3197106749059905,"score_spread":0.27742683380410227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945805023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96954435,0.0002416319,0.00024300042,0.00042628302,0.0000116081355,0.000039489852,0.000028350341,0.0000061306123,0.029459106],"genre_scores_gemma":[0.99625814,0.00027190408,0.00020640936,0.00004660087,0.0000057983198,0.0000065947324,0.000019826026,0.0000020967823,0.0031826152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996799,0.00010931264,0.000014369155,0.000023816821,0.00006106865,0.00011155903],"domain_scores_gemma":[0.99842036,0.00045959794,0.00041230163,0.00004067017,0.00013614936,0.0005309013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005629038,0.00019217563,0.000092407994,0.00081568735,0.00079319946,0.0024128063,0.00014998663,0.0003714159,0.0034556724],"category_scores_gemma":[0.0020115816,0.00010937814,0.00017586107,0.0004859188,0.0004919553,0.00065893255,0.00088083907,0.00034765986,0.00045602286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032248948,0.00093047135,0.819574,0.00038071856,0.00007498315,0.006912244,0.027934311,0.0006499886,0.005556242,0.022894546,0.0041121035,0.11065791],"study_design_scores_gemma":[0.000023369737,0.00040851953,0.8084231,0.00045119977,0.000071457056,0.002770032,0.120470695,0.0010200392,0.0035652593,0.0058637215,0.05688437,0.00004819866],"about_ca_topic_score_codex":0.0006480143,"about_ca_topic_score_gemma":0.0023738027,"teacher_disagreement_score":0.0034556724,"about_ca_system_score_codex":0.00030616397,"about_ca_system_score_gemma":0.00066486764,"threshold_uncertainty_score":0.01156038},"labels":[],"label_agreement":null},{"id":"W2945816347","doi":"10.5430/ijfr.v10n3p239","title":"Examining the Relationship Between Enterprise Risk Management and Firm Performance in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Leverage (statistics); Accounting; Enterprise risk management; Profitability index; Public enterprise; Audit committee; Sample (material); Guideline; Audit; Risk management; Finance","score_opus":0.07359963455496182,"score_gpt":0.32511810886650555,"score_spread":0.2515184743115437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945816347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808204,0.00023931234,0.00009822239,0.0001953812,0.000002997458,0.0000050124404,0.00009149293,0.000003131188,0.0012823468],"genre_scores_gemma":[0.99945396,0.00012987586,0.00008283692,0.000012667898,0.0000036806457,0.000002421123,0.00006686852,5.461268e-7,0.00024715494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990721,0.0002136942,0.00013558044,0.00010831489,0.00028976257,0.00018054608],"domain_scores_gemma":[0.9909525,0.001512786,0.0057557942,0.00016892746,0.0008664764,0.0007434666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015568215,0.00021846086,0.00014493603,0.0010780909,0.00023782387,0.0012445202,0.00022643177,0.00034413167,0.00087315636],"category_scores_gemma":[0.004263683,0.00010212675,0.00021983472,0.0010845967,0.00024372755,0.00092531694,0.0006761782,0.0006053852,0.0002012506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002030455,0.00008811134,0.99080056,0.000019535337,0.00002857704,0.00006816175,0.00025699552,0.0003311218,0.00014325361,0.00013132709,0.00012265933,0.007989408],"study_design_scores_gemma":[8.993271e-7,0.00009568979,0.99803597,0.000026441658,0.00000901605,0.0000501531,0.0006410814,0.00060073705,0.00017001058,0.000059000977,0.00030498215,0.0000061240094],"about_ca_topic_score_codex":0.006322226,"about_ca_topic_score_gemma":0.009284447,"teacher_disagreement_score":0.006322226,"about_ca_system_score_codex":0.0007519338,"about_ca_system_score_gemma":0.00090711395,"threshold_uncertainty_score":0.012570858},"labels":[],"label_agreement":null},{"id":"W2945852284","doi":"10.5430/ijfr.v10n3p11","title":"Board Capabilities and the Mediating Roles of Absorptive Capacity on Environmental Social and Governance (ESG) Practices","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA; Ministry of Education, India","keywords":"Corporate governance; Business; Absorptive capacity; Reputation; Corporate social responsibility; Best practice; Value (mathematics); Loyalty; Marketing; Accounting; Industrial organization; Public relations; Economics; Finance","score_opus":0.033457059718288266,"score_gpt":0.30517052072775025,"score_spread":0.271713461009462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945852284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84270054,0.00043613758,0.002118515,0.0028145534,0.000041874813,0.00009851132,0.0000898579,0.000031395644,0.15166853],"genre_scores_gemma":[0.9974456,0.00015236808,0.00028684773,0.0000492954,0.0000063845114,0.00001392536,0.000016242431,0.0000032145065,0.0020261619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974105,0.0012277479,0.000121442885,0.00020902719,0.00040370354,0.00062769634],"domain_scores_gemma":[0.9732362,0.013329902,0.006649399,0.001085788,0.0016638852,0.004034732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034247607,0.00029923866,0.0001815065,0.0020210845,0.0011748082,0.004580397,0.0004968797,0.00073680474,0.015691021],"category_scores_gemma":[0.013610614,0.00021171694,0.00033312535,0.0013300868,0.003045506,0.0029937483,0.0036760857,0.0008616606,0.00067098363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027461766,0.0009556019,0.64286083,0.00047988995,0.00023884134,0.0018929869,0.044841994,0.0028985275,0.003232003,0.2066479,0.0032466396,0.09243023],"study_design_scores_gemma":[0.00008943652,0.00046849324,0.7999459,0.00096243963,0.00019239617,0.00039817425,0.08678844,0.003655813,0.0015138052,0.06368869,0.04222006,0.00007634985],"about_ca_topic_score_codex":0.005389481,"about_ca_topic_score_gemma":0.006231826,"teacher_disagreement_score":0.015691021,"about_ca_system_score_codex":0.0018812007,"about_ca_system_score_gemma":0.0028978593,"threshold_uncertainty_score":0.052491665},"labels":[],"label_agreement":null},{"id":"W2945894944","doi":"10.5430/ijfr.v10n3p337","title":"The Influence of Competency, Usage of It and Career Expectation on Internal Auditor’s Effectiveness in Ggovernment Linked Companies (GLCs)","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internal audit; Accounting; Audit; Business; Walk-through test; Government (linguistics); Work (physics); Joint audit; Descriptive statistics; Statistic; Statistics; Engineering","score_opus":0.02393799924329473,"score_gpt":0.31382023329664765,"score_spread":0.28988223405335295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945894944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975495,0.00014955008,0.00007759133,0.00023360917,0.000005219088,0.0000088883635,0.000016037902,0.0000025519657,0.001957091],"genre_scores_gemma":[0.999476,0.00008286175,0.00005572239,0.000028005834,0.0000040398168,0.0000030064748,0.000013403876,0.0000010006945,0.00033598734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99432856,0.0020897128,0.00054836774,0.00025078122,0.0017924823,0.0009901954],"domain_scores_gemma":[0.9536161,0.018862905,0.01343078,0.0009882933,0.005177839,0.007923934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045675747,0.00018220617,0.00021717968,0.0009168455,0.00061084173,0.0019115529,0.00031406677,0.00039661356,0.0022566263],"category_scores_gemma":[0.021428151,0.00016387546,0.00044154978,0.0005816286,0.0007535581,0.0005779518,0.0008480412,0.00083567336,0.00028070246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006964305,0.00042196075,0.9795196,0.00005115073,0.00005308897,0.00015423058,0.0023075868,0.0002551767,0.0003233504,0.00013813727,0.0003006046,0.016405586],"study_design_scores_gemma":[0.0000026236023,0.00017600585,0.99448353,0.000058834044,0.00001722772,0.00010608696,0.0040706075,0.00038028107,0.00020803689,0.00004479496,0.0004415955,0.000010360422],"about_ca_topic_score_codex":0.010443578,"about_ca_topic_score_gemma":0.013618869,"teacher_disagreement_score":0.010443578,"about_ca_system_score_codex":0.001161993,"about_ca_system_score_gemma":0.003081169,"threshold_uncertainty_score":0.024155974},"labels":[],"label_agreement":null},{"id":"W2945937123","doi":"10.5430/ijfr.v10n3p51","title":"Corporate Governance Attributes in Fraud Detterence","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Corporate governance; Accounting; Audit; Business; Ethnic group; Multiculturalism; Finance; Political science; Law","score_opus":0.0832216628406739,"score_gpt":0.31862504071548287,"score_spread":0.23540337787480897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945937123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972078,0.00018745707,0.000107637585,0.00030177258,0.000009601064,0.000024802017,0.000043766322,0.0000023572845,0.002114641],"genre_scores_gemma":[0.99964714,0.000052178202,0.000040242896,0.000016397194,0.000006910574,0.0000049543837,0.000033126908,6.781996e-7,0.00019829077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977189,0.00067158643,0.0004054124,0.00016637724,0.00073818373,0.00029951904],"domain_scores_gemma":[0.9584619,0.005615023,0.027318139,0.0013417028,0.0028877377,0.0043754834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031828166,0.00013483274,0.00019907016,0.0026771496,0.0008143957,0.0021779777,0.0003095076,0.00046657448,0.0028763344],"category_scores_gemma":[0.025187619,0.00011427985,0.0003113072,0.002244182,0.0010415035,0.0010053124,0.0015238363,0.00077692134,0.00023781139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002203747,0.000080229845,0.99557674,0.000005259583,0.0000123263235,0.0000750722,0.00050693215,0.00007267099,0.00003977347,0.00020301704,0.00010835446,0.0032976514],"study_design_scores_gemma":[0.0000022057666,0.00004014262,0.99666935,0.000019985004,0.0000056009335,0.00022738677,0.0015869478,0.00027508973,0.000049268547,0.00030606988,0.00081340875,0.0000046463756],"about_ca_topic_score_codex":0.0021471903,"about_ca_topic_score_gemma":0.002592736,"teacher_disagreement_score":0.0031828166,"about_ca_system_score_codex":0.0010756832,"about_ca_system_score_gemma":0.00061867334,"threshold_uncertainty_score":0.01683253},"labels":[],"label_agreement":null},{"id":"W2946002266","doi":"10.5430/ijfr.v10n3p153","title":"Examining Enterprise Resource Planning Post Implementation and Employees’ Performance in Small and Medium Enterprises Using DeLone and McLean’s Information System Success Model","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Enterprise resource planning; Business; Knowledge management; Information quality; Quality (philosophy); Information system; Service quality; Small and medium-sized enterprises; Resource (disambiguation); Process management; Service (business); Marketing; Computer science; Engineering","score_opus":0.0801154401836516,"score_gpt":0.3637898786202045,"score_spread":0.28367443843655293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946002266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987214,0.000050289163,0.00011310854,0.00012823466,0.0000031532536,0.000009219918,0.000025181549,0.0000026665628,0.0009467248],"genre_scores_gemma":[0.9995608,0.00003494055,0.00011067124,0.000015606185,0.0000022271022,0.000007886205,0.000025697267,7.32526e-7,0.00024146463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809664,0.0006253101,0.00019159348,0.00012846354,0.00058542343,0.00037268637],"domain_scores_gemma":[0.9819357,0.0074782865,0.0050501092,0.0004508068,0.0024648383,0.002620198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003704258,0.0002361644,0.00027400104,0.0007727713,0.00058374926,0.0015881306,0.00030533993,0.0003916098,0.0016732742],"category_scores_gemma":[0.008424155,0.00013754454,0.00047290337,0.00095196086,0.0004696522,0.0008760814,0.0008561523,0.0008864238,0.00029956692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113149596,0.0008813348,0.97618777,0.00005793977,0.000074491276,0.00009400393,0.002914865,0.00059664185,0.00043196674,0.00023132122,0.0002768109,0.018139746],"study_design_scores_gemma":[0.00000445124,0.0006576879,0.9920304,0.000034714645,0.000028159464,0.000020455229,0.0053097834,0.0011355329,0.00036604167,0.00006879579,0.00033026893,0.000013598027],"about_ca_topic_score_codex":0.008147771,"about_ca_topic_score_gemma":0.010299868,"teacher_disagreement_score":0.008147771,"about_ca_system_score_codex":0.0009550615,"about_ca_system_score_gemma":0.0016963369,"threshold_uncertainty_score":0.019590259},"labels":[],"label_agreement":null},{"id":"W2946070411","doi":"10.5430/ijfr.v10n3p230","title":"Determinants of Auditors’ Work Performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kuala lumpur; Audit; Work (physics); Accounting; Work performance; Business; Psychology; Marketing; Engineering; Business administration","score_opus":0.03687431425908444,"score_gpt":0.3464481308223615,"score_spread":0.30957381656327704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946070411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952165,0.00018269983,0.0002377888,0.0002684538,0.000010700776,0.00001193874,0.00008057316,0.000008733803,0.0039826804],"genre_scores_gemma":[0.9993969,0.000050177634,0.00007630161,0.000011447594,0.000011066539,0.0000032006596,0.000033883443,0.0000013845627,0.00041560837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972873,0.0009940647,0.00023134917,0.00015309076,0.00084681564,0.0004873903],"domain_scores_gemma":[0.96740127,0.011990917,0.010606811,0.00092829106,0.0048533003,0.0042194487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024005875,0.00018477223,0.00018681283,0.0015430789,0.00064617925,0.0013548692,0.0002730203,0.00035734297,0.0036323557],"category_scores_gemma":[0.019005435,0.00012621941,0.00022759604,0.0012580832,0.0005890749,0.00045176668,0.00060852524,0.00060844317,0.00083340466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007400644,0.00025308962,0.9802254,0.000030291307,0.000037356112,0.00011017983,0.0007042601,0.00025888992,0.00030733415,0.00015680125,0.00035438978,0.01748805],"study_design_scores_gemma":[0.0000021008525,0.00007310698,0.9984092,0.000011898055,0.0000062494537,0.000053947977,0.0006507605,0.0002282423,0.000090751215,0.00007861513,0.0003898942,0.0000051850625],"about_ca_topic_score_codex":0.0058633536,"about_ca_topic_score_gemma":0.0041719973,"teacher_disagreement_score":0.0058633536,"about_ca_system_score_codex":0.00058806234,"about_ca_system_score_gemma":0.001002551,"threshold_uncertainty_score":0.01269567},"labels":[],"label_agreement":null},{"id":"W2946103682","doi":"10.5430/ijfr.v10n3p314","title":"The Predictors and Consequences of Personal Norms in Context of Organic Food Among Pakistani Consumers","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Moderation; Psychology; Moderated mediation; Originality; Mediation; Context (archaeology); Social psychology; Willingness to pay; Marketing; Social responsibility; Business; Public relations; Political science; Economics","score_opus":0.018153926577078882,"score_gpt":0.28413280476434744,"score_spread":0.26597887818726856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946103682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998919,0.00006367269,0.00004618982,0.00013304247,0.000003834432,0.0000072027515,0.000025412073,5.881986e-7,0.00080111553],"genre_scores_gemma":[0.99969923,0.000051558487,0.000054614513,0.000017584067,0.000003121699,0.0000031370091,0.000021308135,3.522615e-7,0.00014923698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995716,0.00012788104,0.000036106157,0.000049508617,0.0001416493,0.00007325501],"domain_scores_gemma":[0.9962107,0.0011872806,0.0014449515,0.0001761485,0.00054945785,0.00043143527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008689322,0.00014727595,0.00012324477,0.00029046505,0.00063186884,0.00086999923,0.00015158197,0.00032919255,0.002231785],"category_scores_gemma":[0.004446332,0.00012839926,0.00018044165,0.0003100791,0.0005551703,0.00035596255,0.00035392598,0.0007838738,0.00011454803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052089934,0.00016322399,0.9907528,0.00002416841,0.000015286556,0.00015189445,0.0032463353,0.00003731038,0.00020711242,0.00011760565,0.00012254607,0.005109646],"study_design_scores_gemma":[0.0000022943427,0.000090142654,0.99325025,0.000017814276,0.000010600063,0.00010129512,0.0057480056,0.00018651594,0.00009564279,0.00013185847,0.00035950445,0.000006091308],"about_ca_topic_score_codex":0.010016823,"about_ca_topic_score_gemma":0.014518609,"teacher_disagreement_score":0.010016823,"about_ca_system_score_codex":0.0004196019,"about_ca_system_score_gemma":0.0007051435,"threshold_uncertainty_score":0.01991707},"labels":[],"label_agreement":null},{"id":"W2946416423","doi":"10.5430/ijfr.v10n3p280","title":"Effectiveness of Social Enterprise in Managing Intellectual Capital","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Social capital; Intellectual capital; Business; Financial capital; Individual capital; Structural capital; Human capital; Economic capital; Social reproduction; Finance; Accounting; Economics; Economic growth; Sociology; Social science","score_opus":0.022237744779957203,"score_gpt":0.316159147164629,"score_spread":0.2939214023846718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946416423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8537826,0.0003928156,0.0018577576,0.0015229967,0.0000246595,0.000096754615,0.00006035649,0.000023201119,0.14223881],"genre_scores_gemma":[0.99883956,0.00008723804,0.0002513238,0.000023636012,0.0000070469036,0.000006388198,0.000009900673,8.343394e-7,0.0007741322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967391,0.0013333509,0.0001689048,0.00015152055,0.00083553477,0.0007714842],"domain_scores_gemma":[0.9879131,0.0043116426,0.002791811,0.000549897,0.0015102926,0.0029233217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035485209,0.00022510385,0.00014744372,0.0019028462,0.0013446695,0.0042647743,0.00043482715,0.00038494292,0.003891487],"category_scores_gemma":[0.009930561,0.00006893535,0.00019100046,0.0011884952,0.0019206271,0.0022669672,0.0028930136,0.00044461107,0.00024595106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023974106,0.0011584185,0.59585005,0.00041112545,0.0003024784,0.0014176865,0.0118088825,0.0032171938,0.0032973345,0.08219029,0.0037691842,0.29633763],"study_design_scores_gemma":[0.000046084842,0.0007239436,0.8839051,0.0005122557,0.00013684065,0.0008341489,0.033619665,0.005913405,0.0030484647,0.032150645,0.03903274,0.00007669282],"about_ca_topic_score_codex":0.0021821733,"about_ca_topic_score_gemma":0.0041886335,"teacher_disagreement_score":0.0042647743,"about_ca_system_score_codex":0.0018142263,"about_ca_system_score_gemma":0.0039995317,"threshold_uncertainty_score":0.018766582},"labels":[],"label_agreement":null},{"id":"W2946468487","doi":"10.5430/ijfr.v10n3p116","title":"Board Characteristics and Foreign Direct Investment in Public Listed Property Companies: A Malaysian Evidence","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Foreign direct investment; Business; Corporate governance; Accounting; Government (linguistics); Foreign ownership; Independence (probability theory); Finance; Economics","score_opus":0.10699545149272495,"score_gpt":0.3218988967759588,"score_spread":0.21490344528323385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946468487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958521,0.0008539421,0.00005563102,0.00030627602,0.00000831938,0.0000061321507,0.0002543055,0.0000019636875,0.0026613588],"genre_scores_gemma":[0.9988695,0.00039021813,0.000025950128,0.00002742046,0.000010515722,0.000002310879,0.0001663196,7.36192e-7,0.00050703745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922884,0.00020941983,0.000092446775,0.000104405844,0.0001994787,0.00016540916],"domain_scores_gemma":[0.98357314,0.0035485632,0.010331658,0.00036980616,0.00092956936,0.0012471962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012347954,0.00017004304,0.00017049309,0.0011703516,0.00034540053,0.0010819755,0.00029568747,0.00031949798,0.0038654506],"category_scores_gemma":[0.004618437,0.00013484045,0.0003326997,0.0012816595,0.0005174019,0.00080113794,0.0006310425,0.000516723,0.000386633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043462278,0.000031233078,0.9961851,0.000028229328,0.00003598383,0.00012965247,0.00027940725,0.000043799566,0.00003540393,0.00015381846,0.0002276585,0.002806271],"study_design_scores_gemma":[0.0000034782993,0.000048706028,0.9973816,0.000053990192,0.00003886369,0.000112930524,0.0012802022,0.00013958085,0.00007211125,0.00004461523,0.00082143,0.0000024297779],"about_ca_topic_score_codex":0.019240944,"about_ca_topic_score_gemma":0.02512465,"teacher_disagreement_score":0.019240944,"about_ca_system_score_codex":0.00076661265,"about_ca_system_score_gemma":0.0007802165,"threshold_uncertainty_score":0.038257897},"labels":[],"label_agreement":null},{"id":"W2946514487","doi":"10.5430/ijfr.v10n3p216","title":"Factors That Might Lead to Corruption: A Case Study on Malaysian Government Agency","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA; Ministry of Education, India","keywords":"Language change; Accountability; Discretion; Government (linguistics); Agency (philosophy); Business; Control (management); Corrupt practices; Accounting; Economics; Political science; Law; Politics; Sociology","score_opus":0.10654225121315591,"score_gpt":0.36794051057741456,"score_spread":0.26139825936425864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946514487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99371064,0.00037488816,0.00042861304,0.0011310714,0.000012767521,0.00006738577,0.000033360066,0.0000052523533,0.004235979],"genre_scores_gemma":[0.9952123,0.0011390538,0.00077705435,0.0002621117,0.000018547309,0.000024047205,0.000024702296,0.0000065886575,0.0025356004],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9971648,0.0016752665,0.00012434673,0.00013982732,0.00031009063,0.0005856158],"domain_scores_gemma":[0.9958138,0.0016429172,0.0012212227,0.00019061405,0.00040929206,0.0007222175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022443156,0.00052495574,0.00039102076,0.0016149185,0.00911825,0.0028504964,0.0011348709,0.0030851818,0.00214461],"category_scores_gemma":[0.0040729567,0.0004824775,0.00059666985,0.0016536076,0.0026628028,0.001773238,0.0021936751,0.002278953,0.00033119906],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002359443,0.002568313,0.2072503,0.00054815185,0.00009216901,0.3027276,0.43158397,0.0020972467,0.0023609863,0.011299486,0.005938352,0.033297468],"study_design_scores_gemma":[0.000026739606,0.0005612774,0.089813426,0.0006293926,0.00006889961,0.054467946,0.8212348,0.0035002255,0.0018335595,0.001382817,0.026385654,0.00009533687],"about_ca_topic_score_codex":0.018640986,"about_ca_topic_score_gemma":0.05528892,"teacher_disagreement_score":0.018640986,"about_ca_system_score_codex":0.0043811696,"about_ca_system_score_gemma":0.002469888,"threshold_uncertainty_score":0.03706497},"labels":[],"label_agreement":null},{"id":"W2946518192","doi":"10.5430/ijfr.v10n3p203","title":"Does Audit Quality Matters in Malaysian Public Sector Auditing?","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Accounting; Business; Quality audit; Auditor independence; Joint audit; External auditor; Chief audit executive; Public sector; Audit evidence; Auditor's report; Audit plan; Credibility; Information technology audit; Internal audit; Economics; Political science","score_opus":0.03540029692900764,"score_gpt":0.32779988403524246,"score_spread":0.2923995871062348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946518192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98736876,0.0014331896,0.00013537079,0.0052159145,0.00004052655,0.00002547861,0.000115950555,0.0000058439227,0.005659125],"genre_scores_gemma":[0.99879944,0.0004904924,0.0000514944,0.00017650975,0.000025452588,0.0000029521507,0.00003319741,0.0000021923126,0.0004182387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930681,0.0021640935,0.0008081257,0.00047092963,0.0026407654,0.00084799674],"domain_scores_gemma":[0.91658,0.024149533,0.043539308,0.0017831045,0.008931385,0.0050166724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008009034,0.00013326781,0.00034128595,0.0015700312,0.00090655277,0.0037261685,0.00046897383,0.0006335673,0.0025009399],"category_scores_gemma":[0.03911661,0.0002973883,0.00046701566,0.0031617996,0.0016085384,0.001815827,0.0009508953,0.001079738,0.00027989698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005001035,0.000058484027,0.9855107,0.00006208795,0.000040720366,0.00016058104,0.0015399653,0.000116697134,0.000049887687,0.00027232367,0.0006931777,0.011445432],"study_design_scores_gemma":[0.000002274067,0.00003551101,0.99477494,0.00007652528,0.000016770662,0.00013857837,0.0035588818,0.0002732177,0.00005620815,0.00012388674,0.0009355142,0.0000075876806],"about_ca_topic_score_codex":0.037629496,"about_ca_topic_score_gemma":0.052907187,"teacher_disagreement_score":0.037629496,"about_ca_system_score_codex":0.0040270463,"about_ca_system_score_gemma":0.0055002864,"threshold_uncertainty_score":0.074820936},"labels":[],"label_agreement":null},{"id":"W2946530898","doi":"10.5430/ijfr.v10n3p77","title":"Auditor’s Ethical Judgments: The Influence of Moral Intensity, Ethical Orientation and Client Importance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Idealism; Psychology; Relativism; Audit; Construct (python library); Social psychology; Orientation (vector space); Epistemology; Accounting; Computer science; Philosophy; Business","score_opus":0.23510889263701426,"score_gpt":0.5228187869526709,"score_spread":0.28770989431565663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946530898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99433583,0.000089078814,0.0012495436,0.00015833921,0.000011387786,0.000035514433,0.000008340576,0.000008561346,0.004103415],"genre_scores_gemma":[0.99911827,0.000038641545,0.0005101373,0.00003596465,0.0000061526025,0.000011088836,0.00000590079,0.0000030652711,0.00027068393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96210283,0.02452778,0.0018370161,0.0014811306,0.0089510195,0.0011002425],"domain_scores_gemma":[0.77106667,0.16808577,0.031738564,0.006781032,0.016872134,0.0054557943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017377667,0.0002826141,0.0003541396,0.0009399524,0.0010045216,0.0030178416,0.00037217545,0.0004044277,0.0019390299],"category_scores_gemma":[0.12150655,0.00025791937,0.00033142965,0.00064723106,0.0019039642,0.0011711334,0.0012974803,0.0014503857,0.00020605141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019901495,0.0016228084,0.80573285,0.0003552819,0.0003714959,0.0007252656,0.0500482,0.0014740293,0.014537275,0.0036487256,0.00095748703,0.11853643],"study_design_scores_gemma":[0.00006417355,0.00074560114,0.96040285,0.00013428406,0.000116861986,0.00049228023,0.024921952,0.0030848535,0.004573624,0.0027818943,0.0025639953,0.00011765079],"about_ca_topic_score_codex":0.002495911,"about_ca_topic_score_gemma":0.003349419,"teacher_disagreement_score":0.017377667,"about_ca_system_score_codex":0.0016581916,"about_ca_system_score_gemma":0.0019156045,"threshold_uncertainty_score":0.09190297},"labels":[],"label_agreement":null},{"id":"W2946785324","doi":"10.5430/ijfr.v10n3p63","title":"Financial Distress Prediction Through Cash Flow Ratios Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial ratio; Cash flow; Solvency; Bankruptcy; Profitability index; Business; Market liquidity; Operating cash flow; Solvency ratio; Financial analysis; Finance; Actuarial science","score_opus":0.033042849155206874,"score_gpt":0.32181260679285134,"score_spread":0.28876975763764445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946785324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98532224,0.0012348335,0.0048238905,0.00035512194,0.00004038485,0.0000950105,0.0020761366,0.00016182034,0.005890468],"genre_scores_gemma":[0.9971208,0.0003457173,0.0010382053,0.000016357984,0.00001918498,0.0000152490775,0.00070980977,0.0000030493736,0.00073162356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961203,0.0000811534,0.0000600579,0.000053220072,0.00012803753,0.00006552646],"domain_scores_gemma":[0.99782217,0.00060164946,0.00090627646,0.00004285358,0.0004838411,0.00014319418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007955502,0.000566833,0.00027200623,0.0044747735,0.00020929957,0.001264056,0.00023091651,0.00043002222,0.0024229656],"category_scores_gemma":[0.0039766585,0.00011420751,0.00030538792,0.0017459606,0.00016360145,0.0010659833,0.0003472776,0.00042097832,0.0005985704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002614407,0.0001423181,0.91569406,0.00011967663,0.00006573981,0.0004219048,0.00020615416,0.007787043,0.00086557074,0.00074512686,0.0019061089,0.07178482],"study_design_scores_gemma":[0.000018236899,0.00041534175,0.90711296,0.00019509562,0.00011536863,0.0006017804,0.0010276656,0.08190085,0.0025647415,0.0017228018,0.004258883,0.00006636553],"about_ca_topic_score_codex":0.0048503554,"about_ca_topic_score_gemma":0.003446882,"teacher_disagreement_score":0.0048503554,"about_ca_system_score_codex":0.00040877372,"about_ca_system_score_gemma":0.00037866153,"threshold_uncertainty_score":0.00964427},"labels":[],"label_agreement":null},{"id":"W2946814213","doi":"10.5430/ijfr.v10n3p380","title":"Relative Comprehensiveness of Performance Measurement System: Organisational Ownership Structure and Size","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Strategic business unit; Organizational structure; Performance measurement; Process management; Knowledge management; Control (management); Information exchange; Information system; Marketing; Computer science; Management","score_opus":0.03791436277188153,"score_gpt":0.27211254548336994,"score_spread":0.2341981827114884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946814213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95879626,0.0004479643,0.019821491,0.00089855003,0.00004412092,0.0003443098,0.0004624276,0.000081255566,0.019103626],"genre_scores_gemma":[0.99488825,0.00005366967,0.0042831637,0.000031386793,0.0000127927615,0.00011619135,0.00013278457,0.000006081324,0.00047567993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98441136,0.006600118,0.0018314639,0.0011509113,0.0055049313,0.0005011948],"domain_scores_gemma":[0.9339418,0.028823806,0.019272681,0.0055002486,0.010763677,0.0016977736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014491344,0.0002443395,0.000255451,0.0017261435,0.0006915228,0.002189423,0.0005736464,0.00033494466,0.0025089218],"category_scores_gemma":[0.04778408,0.0001607385,0.0002823381,0.0025753176,0.0010846489,0.0023739587,0.0017067207,0.00045788343,0.00036276228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017513367,0.00022300886,0.78948283,0.00035403154,0.00018537467,0.00008865698,0.0046458724,0.0020975694,0.0044755507,0.005592734,0.001157776,0.19152148],"study_design_scores_gemma":[0.000019175739,0.00052796997,0.9822452,0.00012941385,0.00005592091,0.00020004096,0.0031563242,0.0039070114,0.0029635546,0.0023202028,0.0044355155,0.000039622373],"about_ca_topic_score_codex":0.001971675,"about_ca_topic_score_gemma":0.0024124826,"teacher_disagreement_score":0.014491344,"about_ca_system_score_codex":0.0012811793,"about_ca_system_score_gemma":0.0020309126,"threshold_uncertainty_score":0.07663852},"labels":[],"label_agreement":null},{"id":"W2946979177","doi":"10.5430/ijfr.v10n4p17","title":"An Introduction to Quantum Computers and Their Effect on Banking Institutions","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"George Mason University","keywords":"Leverage (statistics); Quantum computer; Computer science; Quantum; Computer security; Cryptography; Theoretical computer science; Physics; Quantum mechanics; Artificial intelligence","score_opus":0.024326317303500718,"score_gpt":0.3486481542300381,"score_spread":0.3243218369265374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946979177","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014730654,0.16815297,0.04589767,0.163374,0.015453885,0.000118726006,0.00036142266,0.00027924543,0.5916314],"genre_scores_gemma":[0.39694872,0.25772658,0.03042597,0.04673893,0.032537792,0.0004270898,0.00017958213,0.00032839167,0.2346869],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930584,0.0002840682,0.00002309479,0.00008612745,0.00018069979,0.00012014241],"domain_scores_gemma":[0.9979164,0.0015032275,0.000094485134,0.00013417947,0.00022679944,0.00012488451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009086555,0.0006068326,0.00046511999,0.0009559897,0.0034586473,0.004306248,0.00081004185,0.004736005,0.018787384],"category_scores_gemma":[0.0035880457,0.0005625758,0.0007542134,0.0013444532,0.0056618517,0.008708239,0.0025763137,0.006640383,0.0026915057],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017359476,0.00003148423,0.00017999453,0.000076644814,0.0000045319243,0.00007220675,0.0002850075,0.000505907,0.00023178017,0.95236695,0.030758202,0.015469898],"study_design_scores_gemma":[0.0000124193875,0.00005144714,0.0005140151,0.00032551118,0.0000078046905,0.00018524335,0.00021573564,0.0018443204,0.00033602695,0.64238816,0.35408306,0.000036159046],"about_ca_topic_score_codex":0.0028390288,"about_ca_topic_score_gemma":0.002457784,"teacher_disagreement_score":0.018787384,"about_ca_system_score_codex":0.0024284685,"about_ca_system_score_gemma":0.00094082055,"threshold_uncertainty_score":0.06285006},"labels":[],"label_agreement":null},{"id":"W2949082513","doi":"10.5430/ijfr.v10n5p215","title":"The Importance of Green Energy Consumption and Agriculture in Reducing Environmental Degradation: Evidence From Sub-Saharan African Countries","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental degradation; Panel data; Renewable energy; Energy consumption; Economics; Natural resource economics; Per capita; Unit root; Econometrics; Engineering; Ecology","score_opus":0.04032523001557367,"score_gpt":0.2697170886535277,"score_spread":0.22939185863795405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949082513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724,0.021988308,0.0003153263,0.001560342,0.00003374249,0.000011828891,0.00051652384,0.0000034873422,0.0031705126],"genre_scores_gemma":[0.99005616,0.009270457,0.00012600931,0.00012847024,0.000020680174,0.000005213425,0.00016864612,0.0000013519676,0.00022304957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946016,0.00023820862,0.000044369506,0.00006411959,0.000073736264,0.00011939381],"domain_scores_gemma":[0.9961682,0.0015137912,0.0016305915,0.00014258156,0.00036231754,0.00018253025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013056335,0.00028990285,0.00033180774,0.0012601647,0.0004365056,0.0009006114,0.00025839612,0.00036863214,0.0015677736],"category_scores_gemma":[0.0031398986,0.0001678458,0.00051924126,0.0028622523,0.0006598001,0.0007182898,0.00075436005,0.00043673202,0.000111082714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024695668,0.00014309026,0.9407487,0.0012975305,0.0011549161,0.0010335546,0.002973977,0.001417333,0.00034100472,0.0031859167,0.0015621941,0.04589485],"study_design_scores_gemma":[0.0000126488,0.00008426974,0.97965646,0.0006649919,0.00075529044,0.00015340465,0.007608666,0.00048867427,0.00058211986,0.00073828857,0.009241097,0.000014065104],"about_ca_topic_score_codex":0.01477439,"about_ca_topic_score_gemma":0.017524222,"teacher_disagreement_score":0.01477439,"about_ca_system_score_codex":0.00042460908,"about_ca_system_score_gemma":0.000802779,"threshold_uncertainty_score":0.029376745},"labels":[],"label_agreement":null},{"id":"W2949168420","doi":"10.5430/ijfr.v10n5p487","title":"Study of the Spillover Effect on Sport to Chinese Regional Economic Development","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spillover effect; China; Incentive; Investment (military); Panel data; Construct (python library); Order (exchange); Economics; Sample (material); Economic geography; Economic system; Geography; Political science; Market economy; Econometrics; Macroeconomics","score_opus":0.06323798410089027,"score_gpt":0.4499830922141909,"score_spread":0.38674510811330065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949168420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946978,0.00044851194,0.0010906832,0.00039041598,0.000010053977,0.000026074104,0.0003227686,0.000015335427,0.002998369],"genre_scores_gemma":[0.9988747,0.0002687546,0.00015395442,0.000030536696,0.000009404499,0.0000082708375,0.00016637934,0.0000012008907,0.0004867831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943465,0.00017099114,0.000025414378,0.00010895832,0.000075074306,0.00018493118],"domain_scores_gemma":[0.9981804,0.0007557513,0.0003706695,0.00014707728,0.00027407357,0.00027214127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013223881,0.00036015527,0.00057549746,0.0015198953,0.0004723445,0.00070636254,0.00037669158,0.0002980829,0.0036598293],"category_scores_gemma":[0.0025213473,0.00018678789,0.0012621123,0.0013365861,0.00053201907,0.0006417004,0.001263933,0.0005723703,0.00014793182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013127038,0.00013750853,0.9517167,0.00011269442,0.0006885486,0.0010854552,0.0005894868,0.023894992,0.0007997509,0.005778773,0.000903722,0.0141610745],"study_design_scores_gemma":[0.000028689195,0.00012756878,0.96169627,0.00003944915,0.00045599992,0.00009515522,0.0010058354,0.032789007,0.00053912064,0.0013060301,0.0018941282,0.00002282321],"about_ca_topic_score_codex":0.068766624,"about_ca_topic_score_gemma":0.058195762,"teacher_disagreement_score":0.068766624,"about_ca_system_score_codex":0.0016119013,"about_ca_system_score_gemma":0.0017685278,"threshold_uncertainty_score":0.1367327},"labels":[],"label_agreement":null},{"id":"W2949253507","doi":"10.5430/ijfr.v12n1p242","title":"Impacts of Top Five Executives’ Compensation on Employee Wages","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Incentive; Executive compensation; Compensation (psychology); Business; Sample (material); Compensation of employees; Labour economics; Wages and salaries; Incentive program; Economics; Microeconomics; Psychology","score_opus":0.05999725700276655,"score_gpt":0.3539442403332504,"score_spread":0.29394698333048386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949253507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923883,0.0004964066,0.0001888927,0.0006858853,0.00003110555,0.000010351744,0.00017216815,0.000010239714,0.006016559],"genre_scores_gemma":[0.99872226,0.00005878305,0.000045249173,0.000071403905,0.000020905782,0.0000024960227,0.000091413945,0.0000012489718,0.0009861772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970789,0.0005899774,0.0001517857,0.00019944207,0.00078791927,0.0011919838],"domain_scores_gemma":[0.980948,0.003409844,0.009810788,0.0005376627,0.0019414239,0.0033523322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019369206,0.00023937854,0.00031139742,0.001121161,0.0007459817,0.0012848508,0.0004415405,0.0005588058,0.0050474135],"category_scores_gemma":[0.0104874885,0.00011486095,0.00037174145,0.0006962791,0.00041776316,0.00057995156,0.0014228534,0.00096801005,0.0006031894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000254602,0.00027146112,0.95804125,0.00004544235,0.00009540385,0.00030584773,0.00042166634,0.0015429269,0.0005694344,0.0013290603,0.0014517836,0.03567111],"study_design_scores_gemma":[0.000006103521,0.0001008228,0.99697816,0.000024686586,0.000017072458,0.000059039085,0.0005735355,0.00040268048,0.00019752348,0.00026756903,0.00136619,0.000006677196],"about_ca_topic_score_codex":0.005511051,"about_ca_topic_score_gemma":0.00894641,"teacher_disagreement_score":0.005511051,"about_ca_system_score_codex":0.0012150876,"about_ca_system_score_gemma":0.00081241573,"threshold_uncertainty_score":0.01688528},"labels":[],"label_agreement":null},{"id":"W2949284975","doi":"10.5430/ijfr.v10n5p208","title":"Goods and Services Tax and Sales and Services Tax in Malaysia: A Review of Literature","year":2019,"lang":"en","type":"review","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Kuala Lumpur; University of Kuala Lumpur","keywords":"Goods and services; Revenue; Government (linguistics); Tax revenue; Government revenue; Business; Newspaper; Perspective (graphical); Public economics; Accounting; Economics; Advertising; Economy; Computer science","score_opus":0.1027283210150194,"score_gpt":0.3950939865798138,"score_spread":0.29236566556479443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949284975","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005056045,0.9981791,0.000034377874,0.00047395998,0.000073896554,0.0000052736123,0.000034316523,0.000002015867,0.0006915271],"genre_scores_gemma":[0.0044973763,0.99509925,0.00006716208,0.00011093449,0.00007057964,0.0000043134655,0.000026556947,7.7831163e-7,0.00012302396],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988965,0.00029357456,0.00024474398,0.00015126717,0.0003451769,0.00006871419],"domain_scores_gemma":[0.9937536,0.0036042768,0.001517641,0.00008122064,0.00087222544,0.00017105846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022792101,0.00088261813,0.0011936079,0.008952767,0.0005699231,0.0025958477,0.0007793657,0.0012357662,0.0031354004],"category_scores_gemma":[0.0062636337,0.00052332156,0.0010518493,0.012574583,0.0009607272,0.0027340907,0.00077292515,0.001254365,0.00044130778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117268566,0.00012214019,0.005387668,0.1272083,0.00040345435,0.00043076847,0.00070791296,0.0009803162,0.00024373694,0.0104306545,0.025382219,0.8285855],"study_design_scores_gemma":[0.000030183744,0.00024098948,0.038097624,0.23603141,0.0016714032,0.0034875406,0.0026082164,0.0006410306,0.00074039167,0.005513809,0.7108273,0.000110116904],"about_ca_topic_score_codex":0.012355386,"about_ca_topic_score_gemma":0.018169113,"teacher_disagreement_score":0.012355386,"about_ca_system_score_codex":0.0027040346,"about_ca_system_score_gemma":0.007935103,"threshold_uncertainty_score":0.024566948},"labels":[],"label_agreement":null},{"id":"W2949316788","doi":"10.5430/ijfr.v10n5p381","title":"Corporate Social Responsibility in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Business; Sustainability; Stakeholder; Order (exchange); Dimension (graph theory); Social responsibility; Accounting; Public relations; Sustainability reporting; Quality (philosophy); Political science; Finance","score_opus":0.09915907151796768,"score_gpt":0.3758738777630216,"score_spread":0.27671480624505396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949316788","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30155793,0.051943853,0.003401884,0.06461287,0.000992446,0.00020118643,0.0002543788,0.00012387564,0.57691157],"genre_scores_gemma":[0.96606356,0.008360625,0.000804915,0.0012021724,0.00007719593,0.000032298085,0.000035187968,0.000008560475,0.023415597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99798715,0.0008616175,0.00012891825,0.00016058738,0.0005329141,0.00032882305],"domain_scores_gemma":[0.9980186,0.00034781403,0.00052475365,0.000094327246,0.000438951,0.0005755767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018754042,0.00029257816,0.00013394367,0.0009632977,0.0021845668,0.0046107974,0.000347728,0.00109418,0.0030995982],"category_scores_gemma":[0.0023481806,0.00013674905,0.0001561931,0.0010198846,0.0032941364,0.0025349439,0.0026012077,0.0014843894,0.00044850365],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053177144,0.00014267265,0.031296134,0.00075734046,0.00003243646,0.0011565499,0.04568796,0.0018588973,0.0014357071,0.57291806,0.030441942,0.31421915],"study_design_scores_gemma":[0.000011861013,0.00018597486,0.069074675,0.0017431702,0.000015911164,0.0014370249,0.042368595,0.001484488,0.0013117858,0.048295174,0.8339607,0.00011074279],"about_ca_topic_score_codex":0.017182354,"about_ca_topic_score_gemma":0.016269492,"teacher_disagreement_score":0.017182354,"about_ca_system_score_codex":0.008340182,"about_ca_system_score_gemma":0.013843357,"threshold_uncertainty_score":0.060512543},"labels":[],"label_agreement":null},{"id":"W2949318672","doi":"10.5430/ijfr.v10n5p167","title":"The Mediating Effect of Attitude on Customers’ Behavioural Intention to Participate in Islamic Banking: Empirical Evidence","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Theory of reasoned action; Islamic banking; Originality; Psychology; Islam; Relevance (law); Value (mathematics); Structural equation modeling; Norm (philosophy); Positive attitude; Action (physics); Positive relationship; Social psychology; Questionnaire; Marketing; Business; Political science; Sociology","score_opus":0.11845379639586394,"score_gpt":0.41612116099481306,"score_spread":0.2976673645989491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949318672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930386,0.00044608873,0.00028425816,0.0006304144,0.000027397666,0.00003013341,0.000059343703,0.0000047206263,0.0054791286],"genre_scores_gemma":[0.9988953,0.00034846496,0.00018464534,0.000072698684,0.000012313593,0.000014866378,0.000033044806,0.0000016058964,0.00043716535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831784,0.00081806787,0.00011725893,0.00018120816,0.00032972472,0.00023589974],"domain_scores_gemma":[0.9749244,0.016470522,0.004116998,0.0010013917,0.002084605,0.001402156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030373572,0.00040199424,0.00038330475,0.0006916987,0.0007327896,0.0021536846,0.0005061031,0.000928488,0.008616432],"category_scores_gemma":[0.01249354,0.0003259957,0.0008700059,0.00059015723,0.0011295812,0.0010325222,0.0010109715,0.0016410891,0.0005626801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003127562,0.0014374249,0.96643186,0.0003145899,0.00025990637,0.00039285226,0.0056640147,0.0001875266,0.0004942379,0.0023705775,0.0004002857,0.021733923],"study_design_scores_gemma":[0.00003233451,0.00048287,0.9822449,0.00032840404,0.00044862303,0.00024334194,0.0117232725,0.0013570265,0.0005617123,0.0012848491,0.0012668188,0.000025785566],"about_ca_topic_score_codex":0.004352766,"about_ca_topic_score_gemma":0.003967232,"teacher_disagreement_score":0.008616432,"about_ca_system_score_codex":0.0005937169,"about_ca_system_score_gemma":0.0019231938,"threshold_uncertainty_score":0.028824806},"labels":[],"label_agreement":null},{"id":"W2949395455","doi":"10.5430/ijfr.v10n5p75","title":"A Case Study Analysis of Typhidot: An Example of Market-Oriented R&D Commercialization in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Technology Assessment and Management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Commercialization; Business; Industrial organization; Marketing","score_opus":0.07441686009267254,"score_gpt":0.39554862156185305,"score_spread":0.32113176146918054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949395455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9617193,0.00062471395,0.006663918,0.0014556625,0.000030388535,0.0004676766,0.00031426016,0.00004676137,0.028677458],"genre_scores_gemma":[0.9820102,0.00062894414,0.007800685,0.00015533855,0.000008958488,0.00012771672,0.00016658449,0.000016494287,0.009085018],"study_design_codex":"case_report","study_design_gemma":"qualitative","domain_scores_codex":[0.9979613,0.0009913287,0.0001069415,0.00017315499,0.0003799311,0.00038735912],"domain_scores_gemma":[0.9962984,0.0017263836,0.0005527278,0.00023946835,0.00046685137,0.00071621226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030322804,0.0003817642,0.00024241999,0.0019801897,0.0033182525,0.0027233893,0.0012901612,0.002099844,0.0036793512],"category_scores_gemma":[0.0026702287,0.00026705037,0.0005961253,0.0025700673,0.0019626215,0.0019121479,0.001886023,0.0014195632,0.00053436955],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011522898,0.0031105638,0.245363,0.002628066,0.00017631007,0.24632804,0.15810072,0.028184552,0.017699149,0.09874042,0.016358815,0.18215805],"study_design_scores_gemma":[0.00015430791,0.0017961737,0.21778299,0.0019262948,0.00014720907,0.041623484,0.46543336,0.04952061,0.021317896,0.011336744,0.18863888,0.0003221442],"about_ca_topic_score_codex":0.015721245,"about_ca_topic_score_gemma":0.026674818,"teacher_disagreement_score":0.015721245,"about_ca_system_score_codex":0.0051184935,"about_ca_system_score_gemma":0.0041481284,"threshold_uncertainty_score":0.03713739},"labels":[],"label_agreement":null},{"id":"W2949480171","doi":"10.5430/ijfr.v10n5p430","title":"The Sustainability of Muslim Women Entrepreneurs: A Case Study in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Mercu Buana; Universiti Sains Malaysia","keywords":"Women entrepreneurs; Sustainability; Capital (architecture); Business; Product (mathematics); Sustainable business; Economic growth; Marketing; Socioeconomics; Entrepreneurship; Economics; Finance; Geography","score_opus":0.024018237927332105,"score_gpt":0.34110306246623956,"score_spread":0.31708482453890746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949480171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978058,0.0001599022,0.00012108386,0.00036855787,0.000009552883,0.000024697092,0.000013488088,0.0000017649447,0.0014953131],"genre_scores_gemma":[0.9961235,0.0008435192,0.00032498443,0.00018517919,0.000010691068,0.000020468156,0.000011349963,0.0000027775661,0.0024775981],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99946505,0.000254865,0.000019838033,0.000035307927,0.000053216765,0.00017158869],"domain_scores_gemma":[0.99931204,0.00020716987,0.000121991616,0.000026551601,0.000047349145,0.00028495453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096515205,0.0003818559,0.0002593592,0.00070835016,0.004198289,0.0012477665,0.0006527375,0.0011780587,0.0024415464],"category_scores_gemma":[0.0009237543,0.00026561774,0.0002641192,0.000589704,0.0017290307,0.0009801754,0.001979664,0.0008985825,0.00030632195],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003164934,0.0016233586,0.12776564,0.0005283907,0.000037147955,0.08861166,0.7089911,0.00042397482,0.005110975,0.005293854,0.002506201,0.058791213],"study_design_scores_gemma":[0.000009465585,0.00057958916,0.027731283,0.00021567418,0.00001968749,0.010867168,0.9459852,0.0003487003,0.0012346711,0.00041707023,0.012566063,0.000025454381],"about_ca_topic_score_codex":0.00442723,"about_ca_topic_score_gemma":0.013018621,"teacher_disagreement_score":0.00442723,"about_ca_system_score_codex":0.0011484092,"about_ca_system_score_gemma":0.0013015468,"threshold_uncertainty_score":0.008802891},"labels":[],"label_agreement":null},{"id":"W2949487977","doi":"10.5430/ijfr.v10n5p398","title":"Extending Technology Acceptance Model to EPV Application","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Division of Mathematical Sciences; Universiti Teknologi MARA","keywords":"Expectancy theory; Unified theory of acceptance and use of technology; Audit; Context (archaeology); Psychology; Technology acceptance model; Accounting; Computer science; Social psychology; Usability; Business","score_opus":0.20806724854243758,"score_gpt":0.5341617344678781,"score_spread":0.3260944859254405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949487977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7487213,0.00064701133,0.20850757,0.002228875,0.000087366905,0.00069806556,0.00027059132,0.00023833939,0.038600903],"genre_scores_gemma":[0.99032205,0.00018858285,0.007759993,0.000084768304,0.00002383364,0.00025036238,0.00008328473,0.000009632673,0.0012774548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9906313,0.0052251252,0.00045443999,0.00058611645,0.0024965135,0.00060658605],"domain_scores_gemma":[0.9770354,0.015206833,0.0019590561,0.0011152235,0.0041528908,0.0005306198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064488235,0.0006163777,0.0006303348,0.00191525,0.0005262586,0.002600133,0.0010787526,0.0012843234,0.0039024632],"category_scores_gemma":[0.023814922,0.00024782974,0.0011133559,0.0014468948,0.0009008084,0.0028190506,0.0014303125,0.0014743683,0.0006639697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004221712,0.0018676899,0.43023333,0.0009671763,0.00039862178,0.0009823847,0.010973706,0.059941802,0.004017915,0.11467018,0.0034247579,0.37210026],"study_design_scores_gemma":[0.00013196384,0.0034808984,0.31448317,0.0009597063,0.0003856981,0.0012488058,0.011006342,0.5411238,0.0032087252,0.10535288,0.018359458,0.00025855383],"about_ca_topic_score_codex":0.0021298553,"about_ca_topic_score_gemma":0.001195145,"teacher_disagreement_score":0.0064488235,"about_ca_system_score_codex":0.0011420633,"about_ca_system_score_gemma":0.0013461129,"threshold_uncertainty_score":0.034105003},"labels":[],"label_agreement":null},{"id":"W2949632923","doi":"10.5430/ijfr.v10n5p110","title":"Corporate Governance and Risk Disclosures: A Comparative Analysis Between Bangladeshi and Malaysian Islamic Banks","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Accounting; Business; Islam; Commission; Principal–agent problem; Popularity; Transparency (behavior); Finance; Political science","score_opus":0.034317819533302846,"score_gpt":0.30843912437504256,"score_spread":0.2741213048417397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949632923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996182,0.0003612213,0.00003569586,0.00013661287,0.0000023988746,0.000006728554,0.00008713921,8.434617e-7,0.0031873698],"genre_scores_gemma":[0.9991216,0.0003105993,0.000028706008,0.000018218549,0.000004145348,0.0000031913787,0.000087186316,5.945448e-7,0.00042563086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992429,0.00023151364,0.00010294903,0.00006928975,0.00021647857,0.00013696821],"domain_scores_gemma":[0.99492466,0.0019958946,0.0018573195,0.00009257254,0.0007050084,0.00042456324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009457051,0.00012450416,0.00020826401,0.0015799671,0.0006464558,0.0014981925,0.00017102779,0.00034676678,0.0025769498],"category_scores_gemma":[0.0041921134,0.00010276231,0.00019781513,0.0032584174,0.0006273896,0.0010426125,0.0007045238,0.00035832406,0.00035941132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002354077,0.00016079751,0.9576429,0.00010082383,0.00004308669,0.0006070906,0.017529722,0.00026469267,0.0003942341,0.002533011,0.0005947259,0.019893419],"study_design_scores_gemma":[0.000004450886,0.00012178518,0.97299373,0.000049709295,0.000016636752,0.0002817263,0.024086222,0.00026929134,0.0000945839,0.0001609201,0.0019114894,0.000009461362],"about_ca_topic_score_codex":0.009872208,"about_ca_topic_score_gemma":0.014250873,"teacher_disagreement_score":0.009872208,"about_ca_system_score_codex":0.0011871804,"about_ca_system_score_gemma":0.00074091327,"threshold_uncertainty_score":0.019629478},"labels":[],"label_agreement":null},{"id":"W2949637987","doi":"10.5430/ijfr.v10n5p347","title":"The Way to Improve Employees' Job Satisfaction in Korean Social Enterprises: The Moderating Effects of Person-Organization Fit, Person-Job Fit, and Person-Supervisor Fit","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Job satisfaction; Affective events theory; Job attitude; Job design; Psychology; Job performance; Contextual performance; Supervisor; Organizational commitment; Personnel psychology; Empirical research; Job analysis; Social psychology; Applied psychology; Management","score_opus":0.030391040349548426,"score_gpt":0.3039249408052378,"score_spread":0.27353390045568937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949637987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978465,0.00024460425,0.00028081375,0.00045271643,0.000017558326,0.000019177987,0.000018814497,0.000005371538,0.0011143549],"genre_scores_gemma":[0.9992224,0.00014090042,0.00023123968,0.00010726062,0.0000066223006,0.000015147817,0.000020726915,0.0000019687368,0.00025367833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910176,0.00039905144,0.000072866285,0.000077334866,0.00012905215,0.00021986115],"domain_scores_gemma":[0.99828196,0.00036678254,0.00044034328,0.000066006054,0.00022295323,0.0006220457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010521219,0.00043614185,0.00024404241,0.00044106704,0.00088896125,0.0011647751,0.00021232746,0.00043732795,0.0021917494],"category_scores_gemma":[0.0022684701,0.0001779281,0.0004980602,0.00034573837,0.0003867235,0.00069711206,0.0012336306,0.00059801183,0.00014747155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004676552,0.002204517,0.8813932,0.00059002364,0.00038265635,0.0006625425,0.013317563,0.00030234747,0.0060168924,0.0012433345,0.0011076446,0.09231167],"study_design_scores_gemma":[0.0000407891,0.00047408938,0.9836857,0.00010111413,0.00016387826,0.00009176313,0.012264063,0.0004852455,0.00087108737,0.0003506835,0.0014511832,0.000020343257],"about_ca_topic_score_codex":0.0021146678,"about_ca_topic_score_gemma":0.0056983805,"teacher_disagreement_score":0.0021917494,"about_ca_system_score_codex":0.0004117637,"about_ca_system_score_gemma":0.0015445403,"threshold_uncertainty_score":0.007332146},"labels":[],"label_agreement":null},{"id":"W2949762053","doi":"10.5430/ijfr.v10n5p228","title":"The Role of Trade Liberalization in Carbon Dioxide Emission: Evidence From Heterogeneous Panel Estimations","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental degradation; Greenhouse gas; Economics; Panel data; Renewable energy; International economics; Natural resource economics; Energy consumption; Liberalization; Consumption (sociology); Free trade; Developing country; International trade; Econometrics; Economic growth; Ecology; Market economy","score_opus":0.0646199582744949,"score_gpt":0.3015634451546547,"score_spread":0.23694348688015981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949762053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98908,0.0018084844,0.0025117658,0.00055883627,0.000055106208,0.0000203033,0.0036616467,0.00004192871,0.0022619232],"genre_scores_gemma":[0.99511164,0.00050061976,0.00024949294,0.00008727376,0.00003327321,0.000011762635,0.0035516578,0.0000058111327,0.00044853764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963387,0.0021681802,0.00021166519,0.0005419208,0.00023697241,0.000502591],"domain_scores_gemma":[0.95941913,0.02603579,0.009203521,0.0029773812,0.0012700743,0.0010941417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005566878,0.00052186754,0.0008160888,0.0011302319,0.0006613132,0.0018882916,0.0007745004,0.0010379826,0.0043334975],"category_scores_gemma":[0.011179691,0.00033613897,0.0023234012,0.0025591017,0.0008043442,0.0011137663,0.001266556,0.0018052866,0.00078959315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004087807,0.00027009324,0.96477,0.0001017329,0.0028475495,0.00043416483,0.00019084288,0.01870162,0.00027386824,0.0012891843,0.0023909512,0.008321191],"study_design_scores_gemma":[0.00010029824,0.0002924182,0.94501,0.000108470595,0.002137288,0.00014500083,0.0010392669,0.04328758,0.0011567118,0.00217198,0.0044669914,0.000084062136],"about_ca_topic_score_codex":0.035454705,"about_ca_topic_score_gemma":0.025104778,"teacher_disagreement_score":0.035454705,"about_ca_system_score_codex":0.00056296366,"about_ca_system_score_gemma":0.0006415249,"threshold_uncertainty_score":0.07049662},"labels":[],"label_agreement":null},{"id":"W2950017560","doi":"10.5430/ijfr.v10n5p19","title":"Managing a Country’s Sustainabilty - The Case of Malaysia and Indonesia Public Debt","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Distributed lag; Short run; Indonesian; Error correction model; Indonesian government; Government (linguistics); Debt; Granger causality; Causality (physics); Cointegration; Monetary economics; Public finance; Macroeconomics; Econometrics","score_opus":0.08034442602092515,"score_gpt":0.32292681369282966,"score_spread":0.24258238767190451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950017560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96235013,0.0009920123,0.0007450317,0.0033813973,0.000020753132,0.000028351511,0.00010032733,0.000014648796,0.032367285],"genre_scores_gemma":[0.9975351,0.00038531286,0.00015877477,0.00003864439,0.000006194198,0.0000051154334,0.000017239367,0.0000024077058,0.0018512621],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99967015,0.00008936013,0.000020205898,0.000033516506,0.000042816457,0.00014389605],"domain_scores_gemma":[0.99884963,0.00023898894,0.00034714869,0.00005605068,0.00016215586,0.00034601794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089339627,0.00024076061,0.00025585198,0.00072357175,0.0016740568,0.0050184703,0.0006675931,0.0013706114,0.0023770921],"category_scores_gemma":[0.0018051071,0.00019111634,0.0003070901,0.00091352634,0.0013902553,0.002802343,0.0020916983,0.0015577786,0.00017205697],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007776314,0.0007011724,0.24117228,0.0005226874,0.00032406443,0.041124802,0.011436707,0.07874724,0.0032557456,0.511137,0.0119668525,0.098833874],"study_design_scores_gemma":[0.0002531973,0.0011263988,0.36105695,0.0017178562,0.0005106134,0.011802842,0.12513931,0.1627072,0.005012157,0.19619627,0.13413794,0.00033927488],"about_ca_topic_score_codex":0.03006394,"about_ca_topic_score_gemma":0.033690613,"teacher_disagreement_score":0.03006394,"about_ca_system_score_codex":0.004090297,"about_ca_system_score_gemma":0.0024799837,"threshold_uncertainty_score":0.059777856},"labels":[],"label_agreement":null},{"id":"W2950080602","doi":"10.5430/ijfr.v10n5p440","title":"Does Marketing Success Factors Influence Private College Admission? Evidence From Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Marketing mix; Marketing; Promotion (chess); General partnership; Business; Marketing strategy; Construct (python library); Product (mathematics); Sample (material); Structural equation modeling; Marketing effectiveness; Return on marketing investment; Finance; Political science","score_opus":0.04737824709037709,"score_gpt":0.35836944464987414,"score_spread":0.31099119755949706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950080602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958093,0.0007352709,0.00006095566,0.0005462949,0.0000108631175,0.000011589087,0.00014010414,0.0000028572351,0.0026827555],"genre_scores_gemma":[0.9986792,0.0005799297,0.000047592788,0.00004462073,0.000011168594,0.000003437062,0.00009838863,0.0000016334228,0.0005339985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877435,0.00032217707,0.00012200927,0.00014159316,0.00038582247,0.00025411116],"domain_scores_gemma":[0.9873997,0.004206489,0.0046710894,0.0004093186,0.0012477217,0.0020657775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016521512,0.0002267963,0.0002732612,0.0013113193,0.000666466,0.0018894828,0.00046046783,0.00038753284,0.0062907753],"category_scores_gemma":[0.0066683977,0.00020446147,0.000648592,0.0016699313,0.00063774077,0.0010521364,0.0009241628,0.0008141172,0.0005311592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000658889,0.00017780944,0.98588514,0.000091097834,0.000053403863,0.000103577746,0.00087952917,0.000046444566,0.000056011515,0.00026364106,0.0003881483,0.011989148],"study_design_scores_gemma":[0.000003583228,0.00006852629,0.99565613,0.00009496937,0.000041908508,0.00005340881,0.0028049294,0.00020212732,0.000069493995,0.00007654327,0.00092242996,0.0000059135505],"about_ca_topic_score_codex":0.024356956,"about_ca_topic_score_gemma":0.037325166,"teacher_disagreement_score":0.024356956,"about_ca_system_score_codex":0.0010027369,"about_ca_system_score_gemma":0.0025004605,"threshold_uncertainty_score":0.048430383},"labels":[],"label_agreement":null},{"id":"W2950080896","doi":"10.5430/ijfr.v10n4p25","title":"Prospects and Feasibility of Diaspora Bond: The Case of Ghana","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diaspora; Bond; Nonprobability sampling; Politics; Sovereignty; Business; Political science; Development economics; Economics; Sociology; Finance; Law; Demography","score_opus":0.08922702548190374,"score_gpt":0.3652799825800985,"score_spread":0.2760529570981947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950080896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032295,0.00024134954,0.00019001878,0.0012060638,0.000009889613,0.000015569321,0.000010099229,0.0000014553079,0.008002543],"genre_scores_gemma":[0.9985549,0.00025634994,0.00009455136,0.00006068294,0.0000043718223,0.000004524376,0.0000049090995,0.0000010308133,0.0010186142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991665,0.0004451804,0.000025184843,0.000040453677,0.00005703664,0.00026569958],"domain_scores_gemma":[0.9978828,0.0006936905,0.00058880326,0.000082040075,0.00015880527,0.0005938561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013881801,0.00017120515,0.00013693068,0.0003941722,0.0036364617,0.0022177293,0.00041275128,0.0010770726,0.0053583053],"category_scores_gemma":[0.0033882307,0.00017200038,0.000095861236,0.00051427505,0.0021987024,0.0014942724,0.0017053684,0.0013301838,0.00028763458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046422123,0.00048215763,0.47121748,0.00032759306,0.000037397644,0.10186702,0.2607963,0.00065128267,0.0047467733,0.10763188,0.0037026017,0.048075337],"study_design_scores_gemma":[0.000025257636,0.00029514657,0.12175625,0.0003965814,0.000024297331,0.013720827,0.8084882,0.00094586716,0.0012647894,0.007012024,0.046044048,0.000026712234],"about_ca_topic_score_codex":0.00700763,"about_ca_topic_score_gemma":0.014779594,"teacher_disagreement_score":0.00700763,"about_ca_system_score_codex":0.0011103045,"about_ca_system_score_gemma":0.0014523573,"threshold_uncertainty_score":0.017925322},"labels":[],"label_agreement":null},{"id":"W2950153619","doi":"10.5430/ijfr.v10n5p161","title":"Formulating and Estimating of Dynamic Nonlinear Model of Korea’s Bilateral Trade Balance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Namseoul University","keywords":"Balance of trade; Economics; Indonesian; International economics; Exchange rate; Volatility (finance); Currency; Liberian dollar; Oil price; Monetary economics; Bilateral trade; Balance (ability); Econometrics","score_opus":0.05389239226202581,"score_gpt":0.3384394978007449,"score_spread":0.2845471055387191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950153619","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4604527,0.00069710903,0.5216734,0.0010545977,0.00007092544,0.00012030217,0.0023354795,0.0003703342,0.0132251335],"genre_scores_gemma":[0.95702124,0.00045655787,0.032905024,0.00006794753,0.00003007067,0.00013795962,0.0017068825,0.00006188062,0.007612321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998036,0.000053778796,0.000014197657,0.00007093144,0.000024880808,0.000032641452],"domain_scores_gemma":[0.99970514,0.00014901784,0.000070055525,0.000014914314,0.00004302532,0.000017805129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056426204,0.000521601,0.00051958236,0.00067129254,0.00029857125,0.0011948887,0.00063816574,0.0008788209,0.0038614757],"category_scores_gemma":[0.0016922799,0.00056085293,0.0007526876,0.0006594776,0.00027669687,0.0012345244,0.0006711787,0.00091537915,0.00046983318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027338996,0.0000315139,0.0123720905,0.000063360385,0.000054032236,0.0003132162,0.00009402285,0.95679826,0.00085158844,0.016810702,0.0008901795,0.011693787],"study_design_scores_gemma":[0.000008251391,0.000010429143,0.0018203735,0.000008906866,0.000012404702,0.0000365224,0.000038417256,0.99249893,0.00011589142,0.0047482005,0.00069240975,0.000009183512],"about_ca_topic_score_codex":0.030187959,"about_ca_topic_score_gemma":0.023484722,"teacher_disagreement_score":0.030187959,"about_ca_system_score_codex":0.0009838608,"about_ca_system_score_gemma":0.0014114785,"threshold_uncertainty_score":0.0600245},"labels":[],"label_agreement":null},{"id":"W2950264049","doi":"10.5430/ijfr.v10n5p420","title":"Education, Service Quality, Accountability, Awareness, and Taxpayer Compliance: Individual Taxpayer Perception","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Taxpayer; Accountability; Compliance (psychology); Business; Accounting; Service (business); Quality (philosophy); Affect (linguistics); Sample (material); Psychology; Political science; Marketing; Social psychology; Law","score_opus":0.24233971354416348,"score_gpt":0.4433938761703115,"score_spread":0.20105416262614803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950264049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933136,0.000011531199,0.00007212761,0.00004695864,6.8134875e-7,0.0000034596533,0.000010883838,0.0000010910977,0.0005219277],"genre_scores_gemma":[0.99977285,0.000014411087,0.00005536069,0.000010590902,0.0000011937068,0.0000016747432,0.000017655824,3.9951314e-7,0.00012585138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990938,0.00039668326,0.00007446388,0.00006844944,0.00023373934,0.00013292117],"domain_scores_gemma":[0.9896225,0.0036903897,0.004594355,0.00035833454,0.00085939746,0.00087508064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017717901,0.00012585633,0.0002271447,0.000778403,0.0004226678,0.0011499467,0.00015820238,0.00037272385,0.0025394594],"category_scores_gemma":[0.008124962,0.00011315396,0.00024309864,0.00068049174,0.0005221382,0.0006103023,0.00045817878,0.00061306334,0.00019764637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039337698,0.00020327044,0.99291795,0.000008245039,0.000023973402,0.000048619182,0.0017438169,0.00020725546,0.00018386768,0.0001271397,0.000061523504,0.0044348855],"study_design_scores_gemma":[0.0000035357275,0.00009493521,0.99191135,0.0000093975195,0.000016173211,0.00010098479,0.0060506654,0.0012430686,0.000114154995,0.00019921252,0.00024842596,0.000008069269],"about_ca_topic_score_codex":0.005337486,"about_ca_topic_score_gemma":0.0051497025,"teacher_disagreement_score":0.005337486,"about_ca_system_score_codex":0.0004662348,"about_ca_system_score_gemma":0.00048921345,"threshold_uncertainty_score":0.010612845},"labels":[],"label_agreement":null},{"id":"W2950348615","doi":"10.5430/ijfr.v10n5p338","title":"The Relationship Between Job Uncertainty and Job Satisfaction: The Moderating Effect of Charismatic Leadership, Organizational Communication, and Self-Efficacy","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Job satisfaction; Variety (cybernetics); Job performance; Leadership style; Psychology; Job attitude; Job design; Work (physics); Job analysis; Charismatic authority; Social psychology; Business; Charisma; Computer science; Political science; Engineering","score_opus":0.06419273986956592,"score_gpt":0.34024103301896214,"score_spread":0.2760482931493962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950348615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806195,0.00015318338,0.00009457591,0.0003469836,0.000017544424,0.000010237779,0.00004487142,0.000003499167,0.0012672317],"genre_scores_gemma":[0.99936074,0.00006035891,0.00006377927,0.000038454997,0.000016425578,0.000010488836,0.000037711314,0.0000017477341,0.00041023747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997945,0.0009989042,0.00013898936,0.00016115808,0.00027547308,0.00048049362],"domain_scores_gemma":[0.9832153,0.0095887855,0.002627653,0.0004518403,0.00073511456,0.003381308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018969879,0.0004340869,0.00042664525,0.0007828078,0.0010171061,0.0015992724,0.00052864064,0.0010473077,0.007493432],"category_scores_gemma":[0.0079990355,0.00029544544,0.00092987606,0.00049116655,0.000785566,0.0006901349,0.0014696339,0.0015276836,0.00035078387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006229309,0.0012247639,0.9879006,0.000047437967,0.0002660677,0.0001614954,0.0014610655,0.00020680373,0.000515849,0.00045799313,0.0002343657,0.006900687],"study_design_scores_gemma":[0.000027568374,0.00039228422,0.9958916,0.000043215077,0.00014368103,0.00007794322,0.0017570785,0.00081486104,0.00022186094,0.00026709118,0.00035085576,0.000012091307],"about_ca_topic_score_codex":0.005564761,"about_ca_topic_score_gemma":0.0062302044,"teacher_disagreement_score":0.007493432,"about_ca_system_score_codex":0.00056964316,"about_ca_system_score_gemma":0.0018824682,"threshold_uncertainty_score":0.025068045},"labels":[],"label_agreement":null},{"id":"W2950385771","doi":"10.5430/ijfr.v10n5p54","title":"The Impact of Young Celebrity Endorsements in Social Media Advertisements and Brand Image Towards the Purchase Intention of Young Consumers","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Advertising; Attractiveness; Social media; Likert scale; Psychology; Physical attractiveness; Brand image; Appeal; Marketing; Business; Political science","score_opus":0.049306398171484245,"score_gpt":0.41616185435916675,"score_spread":0.3668554561876825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950385771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695325,0.00014665572,0.00007949737,0.00019053849,0.000012199224,0.000017477048,0.000104848295,0.000003910666,0.0024915747],"genre_scores_gemma":[0.99763274,0.0002566631,0.0003144387,0.00004461578,0.000013882117,0.000018832328,0.00013834333,0.00000258999,0.0015778985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999275,0.0002599769,0.00005456974,0.000081407525,0.00023454703,0.00009450393],"domain_scores_gemma":[0.9901394,0.005606352,0.002064275,0.00024169566,0.00094985584,0.0009983786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013339848,0.00020736798,0.00022139844,0.0004915419,0.00034198325,0.0012008025,0.00024299596,0.00035747347,0.009349515],"category_scores_gemma":[0.0068620327,0.00015093829,0.000658619,0.00041810022,0.00031328594,0.00069611554,0.00052119244,0.0006124729,0.0007517486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024420916,0.00040280455,0.9777368,0.00015683437,0.000077586024,0.00014646829,0.0024303994,0.00008054738,0.0006568139,0.00020919937,0.00042571712,0.017432682],"study_design_scores_gemma":[0.000005122848,0.00032520352,0.9940222,0.00007160751,0.00009135186,0.00008439591,0.003481325,0.0003811768,0.0005003706,0.00013399815,0.00089158595,0.000011707431],"about_ca_topic_score_codex":0.0059490157,"about_ca_topic_score_gemma":0.007561147,"teacher_disagreement_score":0.009349515,"about_ca_system_score_codex":0.00038046512,"about_ca_system_score_gemma":0.0009110316,"threshold_uncertainty_score":0.0312773},"labels":[],"label_agreement":null},{"id":"W2950523692","doi":"10.5430/ijfr.v10n5p138","title":"The Effects of Work-Family Enrichment on Job and Life Satisfaction of Korean Employees","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Job satisfaction; Psychology; Life satisfaction; Work (physics); Job enrichment; Family life; Job attitude; Social psychology; Job performance; Socioeconomics; Engineering","score_opus":0.03398745701914644,"score_gpt":0.368267835856737,"score_spread":0.33428037883759054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950523692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992632,0.00013938508,0.000022733599,0.00007555604,0.0000058488426,0.0000023786706,0.000026560483,0.0000011169367,0.00046312655],"genre_scores_gemma":[0.99969363,0.000051309707,0.000022456441,0.000028905562,0.0000033015328,0.0000023164741,0.00002715025,5.262355e-7,0.00017041658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962854,0.00012351535,0.00003572469,0.00003231994,0.00005679032,0.00012298969],"domain_scores_gemma":[0.99899215,0.00013292831,0.00024698136,0.000036216716,0.00011495794,0.00047685154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046430976,0.00019975044,0.00017660852,0.000341964,0.0006944441,0.00038197098,0.00012399044,0.00021634821,0.001652081],"category_scores_gemma":[0.0012221856,0.00008895436,0.000317046,0.00024650016,0.00025034233,0.00021152606,0.00057481823,0.0003283851,0.00012821378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034881706,0.00050956814,0.9716556,0.00006271014,0.00014709485,0.00034011013,0.0019560158,0.00010420633,0.0019408586,0.000070456634,0.00035040782,0.022514151],"study_design_scores_gemma":[0.000004149216,0.00013594776,0.9969875,0.0000073887963,0.000019553292,0.000057332698,0.0023680017,0.00004716383,0.00009384757,0.000023379183,0.00025074062,0.000005049131],"about_ca_topic_score_codex":0.0033901718,"about_ca_topic_score_gemma":0.008489681,"teacher_disagreement_score":0.0033901718,"about_ca_system_score_codex":0.00028871183,"about_ca_system_score_gemma":0.00042107346,"threshold_uncertainty_score":0.006740868},"labels":[],"label_agreement":null},{"id":"W2950563318","doi":"10.5430/ijfr.v10n5p153","title":"A Study of Accounting Outsourcing Decision: The Case of Malaysian SMEs","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Outsourcing; Business; Exploratory research; Knowledge process outsourcing; Core competency; Competence (human resources); Qualitative research; Human resources; Accounting information system; Competitive advantage; Small and medium-sized enterprises; Marketing; Process (computing); Accounting; Knowledge management; Finance; Economics; Management","score_opus":0.04057001272714303,"score_gpt":0.3478212675994706,"score_spread":0.3072512548723275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950563318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99740416,0.00008653547,0.000107516054,0.00047297502,0.0000029767239,0.000012491215,0.000011242763,8.751711e-7,0.0019012286],"genre_scores_gemma":[0.99838376,0.00027658077,0.00019685764,0.00010953528,0.0000036728738,0.0000071796467,0.000009587009,0.0000011938686,0.0010115235],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9989316,0.000610001,0.00004625803,0.00005387161,0.00009288785,0.00026540845],"domain_scores_gemma":[0.99702376,0.0014957616,0.0005008392,0.00008160006,0.000265931,0.0006321806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993218,0.00025961874,0.00025608137,0.0007364668,0.004447189,0.0018844823,0.00058167434,0.0011128087,0.0024069245],"category_scores_gemma":[0.0031013314,0.00023011169,0.00024124728,0.0011610681,0.0017741118,0.0015591511,0.0012450982,0.0012471582,0.00022381464],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023959645,0.0011631823,0.11397678,0.00034812803,0.000033418873,0.03932705,0.79986423,0.0011274266,0.0032211305,0.010298726,0.0018595189,0.028540863],"study_design_scores_gemma":[0.000013400899,0.00023049398,0.04577083,0.00015343977,0.00001734516,0.002721857,0.9404775,0.0011570562,0.0009184999,0.0005908639,0.007920753,0.000027967668],"about_ca_topic_score_codex":0.023792477,"about_ca_topic_score_gemma":0.05720862,"teacher_disagreement_score":0.023792477,"about_ca_system_score_codex":0.0034555607,"about_ca_system_score_gemma":0.003038963,"threshold_uncertainty_score":0.04730797},"labels":[],"label_agreement":null},{"id":"W2950576514","doi":"10.5430/ijfr.v10n5p466","title":"The Determinants of FDI in OIC Countries","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Openness to experience; Developing country; Estimation; International economics; Panel data; Economics; Inflation (cosmology); Business; Macroeconomics; Economic growth","score_opus":0.03739894567588121,"score_gpt":0.3564693458986054,"score_spread":0.3190704002227242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950576514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836727,0.0010530143,0.00016708786,0.0007634262,0.000027963797,0.000015622298,0.0013627707,0.000014226908,0.012923326],"genre_scores_gemma":[0.99681324,0.0006818415,0.000088004184,0.00005415404,0.000017642564,0.000006943573,0.000796816,0.000003463742,0.0015379976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995415,0.000057470254,0.000033723532,0.000053553664,0.000109491026,0.00020430486],"domain_scores_gemma":[0.9951521,0.0010946285,0.0021001399,0.00015583185,0.0008947958,0.0006024975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005224053,0.00011711741,0.00022045708,0.0014861489,0.00040615725,0.0011204366,0.0001962371,0.0002816544,0.0032171707],"category_scores_gemma":[0.0030339672,0.00008237783,0.00022187667,0.0028100007,0.00048574165,0.00038227788,0.00062587706,0.00068164873,0.0003667187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003093437,0.00004102056,0.9853198,0.00004188123,0.000029496312,0.00027817607,0.00033921906,0.0013306439,0.00018556551,0.0035719622,0.0018532278,0.0069780597],"study_design_scores_gemma":[0.000004919051,0.00001437458,0.9932633,0.000070227456,0.000015326505,0.00014212025,0.00081141636,0.00073131424,0.00014324831,0.0002598829,0.0045372564,0.0000066532803],"about_ca_topic_score_codex":0.065692976,"about_ca_topic_score_gemma":0.060793642,"teacher_disagreement_score":0.065692976,"about_ca_system_score_codex":0.0011758461,"about_ca_system_score_gemma":0.001170728,"threshold_uncertainty_score":0.1306212},"labels":[],"label_agreement":null},{"id":"W2950577999","doi":"10.5430/ijfr.v10n5p204","title":"Wasatiyyah-Consumerism Ethics in Al-Qur’an","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Consumerism; Moderation; Order (exchange); Sociology; Environmental ethics; Economics; Law; Political science; Social psychology; Psychology; Philosophy","score_opus":0.16296292801077358,"score_gpt":0.5340664454212882,"score_spread":0.3711035174105146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950577999","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26023299,0.014548295,0.017307164,0.07232854,0.0023789664,0.00029852355,0.00019222886,0.000062238665,0.6326511],"genre_scores_gemma":[0.95800865,0.002817284,0.0059295385,0.0033884745,0.00035770913,0.000115095725,0.000041614167,0.000027468977,0.029314268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9952099,0.0032959506,0.00020944703,0.00020260189,0.00085984555,0.00022233263],"domain_scores_gemma":[0.99620503,0.0025031895,0.00043460514,0.00018257687,0.00056009117,0.00011447848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035072728,0.0002672404,0.00018226716,0.00045031734,0.0031045675,0.003571079,0.00022978413,0.0011382451,0.00346628],"category_scores_gemma":[0.0040092515,0.0001384574,0.00012895091,0.0012619921,0.010110473,0.001977362,0.00095686124,0.0018554229,0.00044441893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009520979,0.000088943714,0.0040678633,0.00051570946,0.000012205985,0.0007335072,0.20311375,0.00029045195,0.002625095,0.7177683,0.018809935,0.051878955],"study_design_scores_gemma":[0.000021037631,0.000089779256,0.0121849235,0.0008645889,0.000014399258,0.0010092186,0.08453752,0.0013333544,0.0017940747,0.09584364,0.8022613,0.000046120356],"about_ca_topic_score_codex":0.0024103767,"about_ca_topic_score_gemma":0.0025088154,"teacher_disagreement_score":0.003571079,"about_ca_system_score_codex":0.0029533922,"about_ca_system_score_gemma":0.0032614046,"threshold_uncertainty_score":0.021428466},"labels":[],"label_agreement":null},{"id":"W2950642688","doi":"10.5430/ijfr.v10n5p40","title":"The Effects of Self-Esteem and Influence of Friends via Social Media on Body Image Amongst Children","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Snowball sampling; Social media; Psychology; Perception; Maturity (psychological); Self-esteem; Social psychology; Government (linguistics); Set (abstract data type); Developmental psychology; Political science; Computer science; Mathematics","score_opus":0.009021925158168121,"score_gpt":0.3550708057537564,"score_spread":0.34604888059558825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950642688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856937,0.00015769739,0.000022532813,0.00006629675,0.0000040845784,0.00000728764,0.00006098708,0.000001628018,0.0011100791],"genre_scores_gemma":[0.9989483,0.00022266949,0.00008930871,0.000020423238,0.000005031452,0.000015270529,0.000048973507,0.0000017853491,0.0006483053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993333,0.00020470166,0.000054993132,0.000094770825,0.00018164383,0.00013052145],"domain_scores_gemma":[0.99702424,0.0012015532,0.0010045569,0.00011144979,0.00027231517,0.0003859487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009236606,0.00028645233,0.00026500862,0.00077301497,0.0005930742,0.0012547493,0.00026052602,0.00032922174,0.0059153293],"category_scores_gemma":[0.0034552652,0.00024037708,0.0005846541,0.00042581535,0.0005522091,0.0007390167,0.00083165383,0.0006474427,0.00032497945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010875691,0.00027166042,0.9639457,0.00019381028,0.000055767872,0.0005695156,0.01708983,0.000036696132,0.00095798046,0.0001595621,0.000295811,0.016315056],"study_design_scores_gemma":[0.000002384497,0.00014676304,0.98317116,0.000079021105,0.000040931267,0.00025871332,0.015147669,0.00004620091,0.0002626664,0.00003964248,0.00079483393,0.000009902618],"about_ca_topic_score_codex":0.003367472,"about_ca_topic_score_gemma":0.0077616414,"teacher_disagreement_score":0.0059153293,"about_ca_system_score_codex":0.0003633191,"about_ca_system_score_gemma":0.00048070462,"threshold_uncertainty_score":0.019788802},"labels":[],"label_agreement":null},{"id":"W2950682371","doi":"10.5430/ijfr.v10n5p327","title":"A Conceptualization of the Effect of Organisational Justice on Turnover Intention: The Mediating Role of Organisational Citizenship Behaviour","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational Leadership and Management Strategies","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conceptualization; Mediation; Citizenship; Business; Turnover; Affect (linguistics); Organizational citizenship behavior; Economic Justice; Turnover intention; Psychology; Public relations; Social psychology; Political science; Organizational commitment; Management","score_opus":0.029606019320200766,"score_gpt":0.3051518773995606,"score_spread":0.27554585807935983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950682371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447136,0.0012619505,0.008830682,0.0049019526,0.00007132635,0.00015097686,0.00010397142,0.00002468572,0.039940987],"genre_scores_gemma":[0.99868923,0.00013945242,0.0006183966,0.0001119816,0.000007247268,0.000022455197,0.000017670594,0.0000016165967,0.00039191832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783796,0.001301949,0.00010925658,0.00017875162,0.0002627258,0.00030943943],"domain_scores_gemma":[0.99219465,0.003920571,0.0017325025,0.00035611246,0.0007821149,0.0010140846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021981283,0.00030790298,0.0002517723,0.0015342999,0.0010459581,0.0029257901,0.0006966823,0.0010699934,0.0025212432],"category_scores_gemma":[0.004956682,0.00016598418,0.0005864766,0.0009086619,0.003285226,0.0020047124,0.0020275272,0.001670989,0.00016143954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015560968,0.0018702811,0.7112608,0.0007573724,0.00029181215,0.0013828991,0.07402034,0.0012909647,0.002097427,0.14710532,0.0014352201,0.058331866],"study_design_scores_gemma":[0.000054715307,0.00083713507,0.8076643,0.0012802193,0.0003554434,0.0010409002,0.10218097,0.007932047,0.0010394352,0.065563686,0.011924857,0.00012619751],"about_ca_topic_score_codex":0.004574985,"about_ca_topic_score_gemma":0.0058003236,"teacher_disagreement_score":0.004574985,"about_ca_system_score_codex":0.001637896,"about_ca_system_score_gemma":0.0030307064,"threshold_uncertainty_score":0.011883795},"labels":[],"label_agreement":null},{"id":"W2950687315","doi":"10.5430/ijfr.v10n5p11","title":"Did Conventional Interest Rate Influence Islamic Total Deposits? Evidence From January 2007 Till January 2019","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Variance decomposition of forecast errors; Economics; Econometrics; Interest rate; Islam; Islamic finance; Variable (mathematics); Impulse response; Error correction model; Investment (military); Monetary economics; Financial economics; Mathematics; Geography","score_opus":0.03720964355483659,"score_gpt":0.32526289316794765,"score_spread":0.2880532496131111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950687315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99133146,0.001433348,0.000054621818,0.00074238965,0.000033021803,0.0000070520146,0.0015757164,0.0000068523686,0.004815567],"genre_scores_gemma":[0.99522144,0.0012921712,0.00004647298,0.000094192044,0.000075005046,0.000003890908,0.0016136906,0.0000038382423,0.0016493237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995797,0.00006044144,0.00006628755,0.00008276727,0.0001360637,0.00007471847],"domain_scores_gemma":[0.992163,0.0015248234,0.0042842426,0.00028124967,0.0013142248,0.00043245454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008652209,0.00015279427,0.00022200766,0.0011245431,0.0003330774,0.0015613321,0.00036835799,0.00038759026,0.0024346726],"category_scores_gemma":[0.0043536243,0.00014546326,0.00019429818,0.0017290793,0.00045634527,0.00069720234,0.00064191816,0.0006626763,0.0008153485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044902434,0.00010666321,0.9756329,0.00017670656,0.00008066172,0.0007788993,0.0011241583,0.00020498007,0.00037876118,0.0012856062,0.0031216838,0.016659869],"study_design_scores_gemma":[0.000008618268,0.000056390745,0.9912651,0.000060756483,0.000049529484,0.0001803571,0.0013924678,0.0002566814,0.00045449013,0.00014899678,0.006118149,0.000008418346],"about_ca_topic_score_codex":0.014622684,"about_ca_topic_score_gemma":0.022021208,"teacher_disagreement_score":0.014622684,"about_ca_system_score_codex":0.000559198,"about_ca_system_score_gemma":0.0007638998,"threshold_uncertainty_score":0.029075146},"labels":[],"label_agreement":null},{"id":"W2950696837","doi":"10.5430/ijfr.v10n5p32","title":"An Empirical Study in Human Resource Management to Optimize Malaysian School Counselling Department","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human resources; Human capital; Blueprint; Workforce; Human resource management; Business; Public relations; Knowledge management; Economic growth; Political science; Management; Engineering; Economics","score_opus":0.09163220652057827,"score_gpt":0.5101528395261727,"score_spread":0.4185206330055945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950696837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96263385,0.0006978937,0.0009474107,0.003455551,0.00005069589,0.00027397313,0.00023090333,0.000010893301,0.03169889],"genre_scores_gemma":[0.9936557,0.00046706622,0.0010038402,0.0003535493,0.0000107868245,0.00009124567,0.000061467785,0.0000028550528,0.004353559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962753,0.0018909938,0.00018023394,0.00025645152,0.0006733402,0.0007235418],"domain_scores_gemma":[0.9934343,0.0023516174,0.001176083,0.00021234916,0.0013219829,0.001503653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003947718,0.00017404128,0.00016339116,0.0011047571,0.0023425126,0.002968751,0.0005756903,0.00050822314,0.0071487804],"category_scores_gemma":[0.0062279114,0.00017111147,0.0001571086,0.0017121938,0.0011259184,0.0019223648,0.001314195,0.0011713611,0.0004854792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022469615,0.0055515175,0.51328415,0.001927364,0.000060835166,0.0017272964,0.17055422,0.0013860763,0.0012046116,0.053418852,0.026946755,0.22371373],"study_design_scores_gemma":[0.000025868261,0.0007007365,0.34896842,0.0011487897,0.000032841745,0.00036193323,0.58414465,0.0016051763,0.0010931762,0.0017386917,0.060142916,0.000036784728],"about_ca_topic_score_codex":0.008390291,"about_ca_topic_score_gemma":0.018890457,"teacher_disagreement_score":0.008390291,"about_ca_system_score_codex":0.005802395,"about_ca_system_score_gemma":0.011231649,"threshold_uncertainty_score":0.042099476},"labels":[],"label_agreement":null},{"id":"W2950740452","doi":"10.5430/ijfr.v10n5p411","title":"Regional Financial Model Mapping Independence to Fiscal in East Java","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Regional autonomy; Independence (probability theory); Decentralization; Revenue; Java; Financial independence; Government (linguistics); Central government; Local government; Autonomy; Economics; Finance; Business; Political science; Public administration; Market economy; Statistics; Law","score_opus":0.12496110819693655,"score_gpt":0.33120503381674504,"score_spread":0.20624392561980848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950740452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81225985,0.0008549822,0.060039297,0.005199454,0.0000874708,0.00012025848,0.001973584,0.0003440118,0.11912105],"genre_scores_gemma":[0.98436326,0.00029969413,0.0022663227,0.00005337154,0.000016594833,0.00004253872,0.0002500509,0.0000247818,0.012683534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996387,0.00010827156,0.000014630705,0.000089870344,0.000030663075,0.00011786688],"domain_scores_gemma":[0.9992902,0.0002461135,0.00020581405,0.000033061242,0.00013319566,0.0000915319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010193314,0.0005272168,0.0005739111,0.00095401437,0.00068768766,0.0034022813,0.0011676636,0.0008645221,0.00958825],"category_scores_gemma":[0.00272811,0.0004014081,0.0008938497,0.0006639694,0.0010248316,0.0017701649,0.0012907123,0.0015317089,0.00076747703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000253007,0.00018743215,0.027631491,0.00012567206,0.000107785556,0.0009751936,0.0006964066,0.5363041,0.00080190646,0.41356862,0.0053133485,0.014035038],"study_design_scores_gemma":[0.00008721467,0.00006712583,0.010618546,0.00005085198,0.0001158822,0.00019390891,0.0008544903,0.9131674,0.00018569792,0.06846451,0.0061523947,0.00004189645],"about_ca_topic_score_codex":0.083622195,"about_ca_topic_score_gemma":0.039113358,"teacher_disagreement_score":0.083622195,"about_ca_system_score_codex":0.0041383086,"about_ca_system_score_gemma":0.001987514,"threshold_uncertainty_score":0.16627091},"labels":[],"label_agreement":null},{"id":"W2950787380","doi":"10.5430/ijfr.v10n5p301","title":"Are SMEs Ready for Integrated Reporting? The Malaysian Experience of Accountability","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Accountability; Business; Integrated reporting; Reputation; Marketing; Usability; Value (mathematics); Corporation; Accounting; Public relations; Finance; Sustainability","score_opus":0.14773630418998104,"score_gpt":0.4291048153816685,"score_spread":0.2813685111916875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950787380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9392592,0.002749646,0.0014822297,0.03501295,0.00014476392,0.00002660967,0.00006742845,0.000047163194,0.021210033],"genre_scores_gemma":[0.9968407,0.00067215384,0.00027790465,0.0007680515,0.000015717591,0.000006672959,0.00001182265,0.0000053571453,0.0014015858],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99247956,0.004775318,0.0005734678,0.00037755616,0.0009626061,0.00083153736],"domain_scores_gemma":[0.98565453,0.005473383,0.00435914,0.000733204,0.0017430417,0.0020367263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074794414,0.00017987734,0.00018499135,0.0005371223,0.0026861222,0.004654675,0.00042643727,0.0013403344,0.0019718832],"category_scores_gemma":[0.015439376,0.00022081364,0.00016088266,0.001237348,0.0032967974,0.0050049406,0.0040211356,0.0014762874,0.0003303599],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016067046,0.000114003386,0.100888416,0.0012716985,0.00003695054,0.009586298,0.7224155,0.0005675478,0.004249521,0.027510228,0.014634717,0.1185644],"study_design_scores_gemma":[0.000015275691,0.0002896105,0.06139674,0.0013816082,0.00002535023,0.004395336,0.7625664,0.0006269754,0.0018301826,0.0045776414,0.16277547,0.00011937118],"about_ca_topic_score_codex":0.006130298,"about_ca_topic_score_gemma":0.007864684,"teacher_disagreement_score":0.0074794414,"about_ca_system_score_codex":0.002128653,"about_ca_system_score_gemma":0.0034062462,"threshold_uncertainty_score":0.03955555},"labels":[],"label_agreement":null},{"id":"W2950840351","doi":"10.5430/ijfr.v10n5p495","title":"The Effect of Board Diversity on Real Earnings Management: Empirical Evidence From Jordan","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Accounting; Stock exchange; Business; Panel data; Earnings management; Descriptive statistics; Diversity (politics); Empirical evidence; Earnings; Gender diversity; Corporate governance; Economics; Econometrics; Finance; Statistics; Political science; Law","score_opus":0.06429791637871653,"score_gpt":0.347319115758076,"score_spread":0.2830211993793595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950840351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974376,0.0005276705,0.000041442006,0.00016635653,0.000003834058,0.0000024014307,0.00006442889,0.0000011783424,0.0017551006],"genre_scores_gemma":[0.9986625,0.00037975138,0.000039940413,0.000047219783,0.000015523598,0.0000020606938,0.00011630825,0.0000011877482,0.0007355904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937254,0.00021676903,0.000045739675,0.00007242872,0.00017462422,0.00011792004],"domain_scores_gemma":[0.99189234,0.0015604111,0.004306979,0.0002034039,0.0010086097,0.0010282516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014442764,0.00012902544,0.00013845264,0.0009743715,0.00042789648,0.0011078165,0.00028130336,0.00018951348,0.0023657053],"category_scores_gemma":[0.0039953357,0.00007382667,0.00013139415,0.0011278496,0.00052412204,0.0006102703,0.00087385677,0.00028519012,0.00028756712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007204173,0.00008265929,0.9873334,0.000025951897,0.00002737156,0.00014627687,0.00093126425,0.00014103123,0.000092262715,0.00021849926,0.00037540492,0.010553698],"study_design_scores_gemma":[0.0000056678864,0.00005789785,0.99380326,0.00004291289,0.00001534919,0.00007808182,0.003607103,0.00014721365,0.00010378934,0.00009852853,0.00203619,0.000004167798],"about_ca_topic_score_codex":0.007914443,"about_ca_topic_score_gemma":0.013338427,"teacher_disagreement_score":0.007914443,"about_ca_system_score_codex":0.0005179612,"about_ca_system_score_gemma":0.0007085557,"threshold_uncertainty_score":0.015736759},"labels":[],"label_agreement":null},{"id":"W2950867418","doi":"10.5430/ijfr.v10n5p181","title":"Financial and Social Performances of Islamic Microfinance Service Provider With Mobile Banking","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microfinance; Islam; Business; Accounting; Context (archaeology); Loan; Accountability; Financial services; Qualitative research; Mobile banking; Financial institution; Service (business); Qualitative property; Institution; Finance; Financial system; Marketing; Economics; Economic growth; Political science; Sociology; Social science","score_opus":0.0199114247114757,"score_gpt":0.2955969836704337,"score_spread":0.27568555895895797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950867418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979122,0.000027418699,0.000018338638,0.00022588027,0.0000045354664,0.0000066248795,0.00001817357,9.914539e-7,0.0017858915],"genre_scores_gemma":[0.99878436,0.000066697976,0.000028923978,0.000060329334,0.0000060922735,0.000006259313,0.00001592576,0.000001199395,0.0010301057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990151,0.00040684987,0.000032590524,0.00006767904,0.00018120694,0.00029649952],"domain_scores_gemma":[0.99696165,0.0008739503,0.00091962103,0.00007681779,0.00039709845,0.00077080843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001052722,0.0002145663,0.00022413454,0.0008268117,0.0028612018,0.002051664,0.00022663458,0.0005809995,0.0058563426],"category_scores_gemma":[0.0050615664,0.0001442391,0.00019201006,0.0006551919,0.0013320924,0.0012248473,0.0017317407,0.0009398937,0.00063097547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026155368,0.0010671619,0.6293627,0.00009901282,0.000030570412,0.0016888079,0.32251406,0.00018997003,0.0022911406,0.0010530245,0.0020768293,0.03936515],"study_design_scores_gemma":[0.000006291114,0.00044647756,0.45309985,0.000058019534,0.000018183813,0.0005557229,0.5401362,0.00045144933,0.00033339288,0.0001966011,0.0046630567,0.00003471927],"about_ca_topic_score_codex":0.007746889,"about_ca_topic_score_gemma":0.013153152,"teacher_disagreement_score":0.007746889,"about_ca_system_score_codex":0.0011645528,"about_ca_system_score_gemma":0.00077339774,"threshold_uncertainty_score":0.019591391},"labels":[],"label_agreement":null},{"id":"W2951553042","doi":"10.5430/ijfr.v10n5p370","title":"A Conceptual Study on Contingent Impact of External Integration on Innovation Sme Business Success Relationship","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Moderation; Contingency theory; Competitor analysis; Resource dependence theory; Operationalization; Contingency; Resource-based view; Business; Marketing; Resource (disambiguation); Knowledge management; Entrepreneurship; Industrial organization; Conceptual framework; Survivability; Competitive advantage; Economics; Computer science; Management","score_opus":0.11648819015192778,"score_gpt":0.4117004192963357,"score_spread":0.2952122291444079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951553042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7075291,0.0031572285,0.0462356,0.013600015,0.00023444413,0.00062239665,0.00020024384,0.00008766303,0.22833325],"genre_scores_gemma":[0.99300015,0.0008054814,0.0034043042,0.00029279507,0.00004061908,0.00023221447,0.000055064007,0.0000074607933,0.0021618563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975036,0.0012247085,0.00013139046,0.00032697272,0.00044746717,0.00036593687],"domain_scores_gemma":[0.9949103,0.0025836453,0.0007580576,0.0001847215,0.0006988877,0.0008643587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032775656,0.00059136475,0.00031293608,0.0034974425,0.0021963993,0.0060099075,0.0010119294,0.0017138256,0.00939165],"category_scores_gemma":[0.0057630464,0.00033860395,0.0008641697,0.0029245939,0.0049341302,0.007019945,0.006078839,0.0023104148,0.00044907225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008935703,0.0005659179,0.08777384,0.0005790921,0.00008177145,0.0022336727,0.05869188,0.0016902324,0.0018596753,0.79398537,0.0016868123,0.050762404],"study_design_scores_gemma":[0.00013664302,0.0011128235,0.21077509,0.0034928326,0.0005122724,0.004167361,0.25106648,0.02530254,0.0025518676,0.38391572,0.11675321,0.00021327152],"about_ca_topic_score_codex":0.0014940589,"about_ca_topic_score_gemma":0.0011497944,"teacher_disagreement_score":0.00939165,"about_ca_system_score_codex":0.0030143948,"about_ca_system_score_gemma":0.00485085,"threshold_uncertainty_score":0.031418145},"labels":[],"label_agreement":null},{"id":"W2951654119","doi":"10.5430/ijfr.v10n5p250","title":"Which Stock Exchange Leads the Other: Comparison Between US, Australia, Euro Zone and UK","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Causation; Stock (firearms); Portfolio; Stock exchange; Financial market; Economics; Causality (physics); Financial economics; Error correction model; Variance (accounting); International economics; Business; Monetary economics; Econometrics; Finance; Cointegration; Geography; Accounting; Political science","score_opus":0.13970662550444052,"score_gpt":0.3820805691800928,"score_spread":0.2423739436756523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951654119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99234605,0.0012487588,0.00005327478,0.000297554,0.0000249023,0.000007510329,0.00073134335,0.0000043850832,0.0052860645],"genre_scores_gemma":[0.9974946,0.0006221725,0.000032562402,0.000041977964,0.000012802372,0.0000022530905,0.000625556,0.0000031973896,0.0011648082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967337,0.000053478856,0.0000475874,0.000053997126,0.000098024895,0.00007354549],"domain_scores_gemma":[0.9980533,0.00029528613,0.0009340727,0.00005212125,0.000468368,0.00019679849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675633,0.00013262167,0.00019790436,0.002052629,0.0002901672,0.0011895559,0.0001730796,0.00021164166,0.004093956],"category_scores_gemma":[0.0027549905,0.000074875206,0.0002554717,0.0032495956,0.00029670805,0.0009908137,0.0006362673,0.00020938799,0.0005054378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011257078,0.000016012595,0.987035,0.00004776071,0.00006609161,0.00046721456,0.0011480551,0.000108672655,0.00014073281,0.0005562209,0.0009983277,0.009303415],"study_design_scores_gemma":[0.000002171192,0.000019084266,0.99602675,0.000026632422,0.000019373136,0.00012741426,0.0020377615,0.00020351502,0.0000490027,0.00004622545,0.0014393172,0.0000028443485],"about_ca_topic_score_codex":0.050047625,"about_ca_topic_score_gemma":0.07616933,"teacher_disagreement_score":0.050047625,"about_ca_system_score_codex":0.00052150356,"about_ca_system_score_gemma":0.0004331684,"threshold_uncertainty_score":0.09951264},"labels":[],"label_agreement":null},{"id":"W2951839387","doi":"10.5430/ijfr.v10n5p126","title":"Corporate Governance, Risk Management and Ethical Investment: Evidence From Banking Industries","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Accounting; Business; Audit; Investment (military); Risk management; Audit committee; Sample (material); Agency (philosophy); Good governance; Internal audit; Finance","score_opus":0.07192557716855312,"score_gpt":0.32392257341599673,"score_spread":0.2519969962474436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951839387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929295,0.0022299828,0.00007463091,0.0007929716,0.000005489376,0.000011900111,0.000034981105,6.9780924e-7,0.003919933],"genre_scores_gemma":[0.99758816,0.0019713899,0.000059631333,0.00012172659,0.000010251096,0.000004135187,0.000027370244,6.7523547e-7,0.00021667645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982168,0.0007370155,0.00016495113,0.00014838544,0.0005142975,0.00021855578],"domain_scores_gemma":[0.968972,0.01502983,0.011701661,0.00057505444,0.0019642706,0.0017571442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002444854,0.00014781985,0.0002239393,0.0013841729,0.00077603484,0.0018897076,0.00028445176,0.0005332029,0.0031024194],"category_scores_gemma":[0.014079545,0.0001979338,0.00023236824,0.0018854917,0.0011497582,0.0012855956,0.001225299,0.00083255407,0.00024236337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009404614,0.00032993345,0.96155643,0.00034627726,0.000065464716,0.0004169165,0.011634521,0.00009759685,0.00016925352,0.0013002445,0.00049405155,0.023495331],"study_design_scores_gemma":[0.000007639324,0.00011636681,0.9766361,0.00037879733,0.000035946454,0.00019387562,0.019665923,0.00014831767,0.00008770402,0.0004148168,0.0023059878,0.000008471749],"about_ca_topic_score_codex":0.0039867493,"about_ca_topic_score_gemma":0.010646945,"teacher_disagreement_score":0.0039867493,"about_ca_system_score_codex":0.0005620273,"about_ca_system_score_gemma":0.0010707679,"threshold_uncertainty_score":0.012929738},"labels":[],"label_agreement":null},{"id":"W2951856546","doi":"10.5430/ijfr.v10n5p313","title":"Religious and Socioeconomic Implications of Islamic Insurance: A Review","year":2019,"lang":"en","type":"review","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Principle of legality; Usury; Context (archaeology); Islam; Duty; Business; Actuarial science; Profit sharing; Law and economics; Economics; Law; Sociology; Political science; Finance","score_opus":0.07959121945379968,"score_gpt":0.40738760291834775,"score_spread":0.3277963834645481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951856546","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007506511,0.99720407,0.00005675787,0.00051260943,0.00015198092,0.0000045343136,0.000023286497,0.0000015188425,0.0012946551],"genre_scores_gemma":[0.004852424,0.9944131,0.000086701155,0.00021811077,0.00020365069,0.000003615243,0.000022868397,8.3294157e-7,0.00019877117],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996692,0.00008763793,0.00006901041,0.00004984481,0.00010099684,0.000023303093],"domain_scores_gemma":[0.9974929,0.001888607,0.00032852325,0.000025944386,0.00020924691,0.00005467936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006918405,0.0004887948,0.00064898655,0.0030343626,0.00051229744,0.0017076675,0.00052313705,0.0010190052,0.0051992238],"category_scores_gemma":[0.0027366611,0.0002677137,0.0007339277,0.0036416156,0.0006735351,0.0016674235,0.00077329203,0.0009690011,0.00041137508],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012938312,0.000112128626,0.003958004,0.07705167,0.00028595637,0.00057581975,0.0010722904,0.00041602793,0.0003270678,0.014059194,0.022753596,0.8792589],"study_design_scores_gemma":[0.00001908639,0.000200753,0.022072978,0.11667841,0.0009616915,0.0050205295,0.0026679859,0.00034647502,0.00038146178,0.0061642653,0.8454159,0.00007048511],"about_ca_topic_score_codex":0.0027155655,"about_ca_topic_score_gemma":0.0047191596,"teacher_disagreement_score":0.0051992238,"about_ca_system_score_codex":0.00070743024,"about_ca_system_score_gemma":0.0021852404,"threshold_uncertainty_score":0.017393112},"labels":[],"label_agreement":null},{"id":"W2951890281","doi":"10.5430/ijfr.v10n5p269","title":"Fraud Intention and Machiavellianism: An Experimental Study of Fraud Triangle","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Machiavellianism; Rationalization (economics); Psychology; Social psychology; Purchasing; Business; Personality; Marketing; Big Five personality traits; Economics","score_opus":0.13813452559841963,"score_gpt":0.5007018293390871,"score_spread":0.3625673037406675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951890281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908733,0.000005011626,0.00019690095,0.00003152155,0.000006722997,0.0001371263,0.000016951995,0.0000019202357,0.00051650766],"genre_scores_gemma":[0.99570787,0.00003304354,0.0019471236,0.00010514342,0.000020877216,0.00073014107,0.000069111426,0.0000025898414,0.0013841743],"study_design_codex":"nonrandomized_trial","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973247,0.0013672034,0.00022874183,0.0003849657,0.00045911502,0.00023516576],"domain_scores_gemma":[0.9790341,0.011708605,0.0049190763,0.0023815043,0.00051646703,0.0014402984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042572143,0.0005774133,0.0006674834,0.00059430714,0.0013669137,0.001674067,0.0008377922,0.000940221,0.006979701],"category_scores_gemma":[0.012237724,0.0005439993,0.0004870967,0.0003990151,0.0020086898,0.0012984378,0.0012091709,0.002106034,0.00046878168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.029332738,0.45696932,0.38402382,0.0004076579,0.00034914748,0.0009857328,0.02144616,0.0022717903,0.04028441,0.016915372,0.0013619565,0.04565193],"study_design_scores_gemma":[0.00988227,0.13585125,0.7692612,0.00012601564,0.0003638727,0.00071774266,0.013888695,0.028639415,0.020310536,0.01505435,0.005611934,0.000292751],"about_ca_topic_score_codex":0.00074889784,"about_ca_topic_score_gemma":0.0006758477,"teacher_disagreement_score":0.006979701,"about_ca_system_score_codex":0.0006045362,"about_ca_system_score_gemma":0.0009171675,"threshold_uncertainty_score":0.023349464},"labels":[],"label_agreement":null},{"id":"W2951909558","doi":"10.5430/ijfr.v10n5p387","title":"A Conceptual Paper on SERVQUAL-Framework for Assessing Quality of Internet of Things (IoT) Services","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; Quality (philosophy); Usability; Service (business); Conceptual model; Secrecy; Service quality; Internet of Things","score_opus":0.1087638495760239,"score_gpt":0.454236211208807,"score_spread":0.34547236163278305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951909558","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055226374,0.011945085,0.54216033,0.054857787,0.0018553005,0.0037205985,0.0019957405,0.00048152418,0.32775724],"genre_scores_gemma":[0.58915573,0.009837768,0.3682814,0.0060486956,0.00041042178,0.0028717152,0.0016676051,0.000087341345,0.021639299],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995707,0.0021753786,0.00035280862,0.0003900488,0.001038661,0.00033622928],"domain_scores_gemma":[0.99698704,0.0012989625,0.000343896,0.00013581578,0.0008216228,0.0004126085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062089083,0.00086092734,0.00049934746,0.0039022628,0.0019546945,0.005402094,0.0013336545,0.0020576066,0.004654898],"category_scores_gemma":[0.004445901,0.00030120448,0.00096327794,0.0050252588,0.0044646612,0.0069077136,0.0029873445,0.0029679323,0.00082742015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026525906,0.00012483475,0.0066729067,0.0005431466,0.000021762133,0.00037505096,0.0101834135,0.0015520722,0.00074799784,0.881692,0.015323458,0.08273687],"study_design_scores_gemma":[0.000042904358,0.00026369022,0.01691733,0.0044170567,0.00006619086,0.0018987335,0.029854653,0.014291835,0.0011311827,0.46254462,0.46843433,0.00013750765],"about_ca_topic_score_codex":0.0045167897,"about_ca_topic_score_gemma":0.0044476637,"teacher_disagreement_score":0.0062089083,"about_ca_system_score_codex":0.004608373,"about_ca_system_score_gemma":0.007703527,"threshold_uncertainty_score":0.0334363},"labels":[],"label_agreement":null},{"id":"W2951973076","doi":"10.5430/ijfr.v10n5p474","title":"The Influence of Information Acceptance on Information Use Performance in the Case of Vulnerable Classes","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Competence (human resources); Social psychology; Positive attitude; Positive correlation; Age groups; Applied psychology; Demography; Medicine; Sociology","score_opus":0.05175502001602282,"score_gpt":0.3967072165577954,"score_spread":0.34495219654177256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951973076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699473,0.00007183062,0.00015536661,0.00013026122,0.000004099084,0.000014203994,0.000018712582,0.0000044620147,0.0026064],"genre_scores_gemma":[0.99955374,0.00005094802,0.00007475102,0.000014623895,0.000005658197,0.0000056484923,0.000017538436,0.0000015878486,0.00027549118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969394,0.0010988882,0.00031432058,0.00017083692,0.0009411663,0.0005353672],"domain_scores_gemma":[0.9741314,0.012892466,0.006178123,0.0010682145,0.003135791,0.0025940428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029681565,0.0002998175,0.00026646772,0.001798447,0.0008941985,0.0019585467,0.0003578842,0.00054944353,0.0036531358],"category_scores_gemma":[0.024144458,0.00016078817,0.0007400429,0.000791911,0.0006821264,0.0013476349,0.0012470708,0.00082430185,0.00041366337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014808425,0.00046365496,0.96801466,0.00005842015,0.00006974834,0.00039192662,0.007869358,0.000101339225,0.0007381032,0.00023723312,0.00016881136,0.021738686],"study_design_scores_gemma":[0.0000062663366,0.00024517244,0.9854211,0.0000443343,0.000069342415,0.0002544088,0.011610006,0.00069653685,0.00052099186,0.00017275866,0.0009374152,0.000021613285],"about_ca_topic_score_codex":0.0043441635,"about_ca_topic_score_gemma":0.0031099794,"teacher_disagreement_score":0.0043441635,"about_ca_system_score_codex":0.0006538202,"about_ca_system_score_gemma":0.00097349926,"threshold_uncertainty_score":0.0156973},"labels":[],"label_agreement":null},{"id":"W2952000406","doi":"10.5430/ijfr.v10n5p450","title":"Investor Sentiment and Firm Financial Performance of Malaysian IPO Firms: Pre and Post Financial Crisis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Initial public offering; Financial crisis; Profitability index; Business; Panel data; Market sentiment; Market timing; Finance; Context (archaeology); Return on assets; Financial system; Asset (computer security); Monetary economics; Economics; Econometrics","score_opus":0.021831752157824937,"score_gpt":0.2844815598125422,"score_spread":0.26264980765471724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952000406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982469,0.00013631904,0.000026373751,0.000109512745,0.0000048201277,0.000003430346,0.00020013058,0.0000011599769,0.0012713737],"genre_scores_gemma":[0.99928063,0.00009824707,0.000020335912,0.00001677755,0.000010664787,0.000001997965,0.0002123647,4.7922134e-7,0.00035857878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976677,0.000038327944,0.000029430024,0.00003228085,0.00005983821,0.00007331132],"domain_scores_gemma":[0.9976065,0.0003646019,0.0015271996,0.00005572068,0.0002131566,0.00023283003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048108512,0.00015835618,0.00017280127,0.0005608973,0.00016642919,0.0009253761,0.000115270326,0.00035412307,0.001406391],"category_scores_gemma":[0.0019033825,0.00007352618,0.00018329578,0.0006254379,0.00019865169,0.00053664733,0.00039983046,0.00044085327,0.0002257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050660576,0.000044781154,0.9958347,0.00001392102,0.00002192186,0.00014023228,0.0001735743,0.000108250104,0.0002346743,0.00010048334,0.00019500096,0.0030817536],"study_design_scores_gemma":[7.857781e-7,0.00004943912,0.9990503,0.000007777824,0.000007997238,0.000057289923,0.0003131032,0.00016996636,0.00010029584,0.00002642621,0.00021453982,0.0000020621271],"about_ca_topic_score_codex":0.0027933575,"about_ca_topic_score_gemma":0.0044680405,"teacher_disagreement_score":0.0027933575,"about_ca_system_score_codex":0.00032257824,"about_ca_system_score_gemma":0.00020614162,"threshold_uncertainty_score":0.005554199},"labels":[],"label_agreement":null},{"id":"W2952005090","doi":"10.5430/ijfr.v10n5p1","title":"Crude Oil Price and Exchange Rates - The Case of Malaysia and Brunei","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Crude oil; Exchange rate; Oil price; Granger causality; Commodity; Monetary economics; Error correction model; Econometrics; Market economy","score_opus":0.04841556517920917,"score_gpt":0.3333470126281624,"score_spread":0.28493144744895327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952005090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116045,0.0008466887,0.0002409651,0.00035200492,0.000008167611,0.0000094382685,0.0002473291,0.0000055948854,0.007129344],"genre_scores_gemma":[0.99833304,0.0005050068,0.0001221961,0.000012456622,0.000006613391,0.000002445688,0.00014479145,0.0000015831503,0.0008718852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983275,0.000041888583,0.000012144275,0.000031246138,0.00001976666,0.000062150146],"domain_scores_gemma":[0.99905473,0.00036614327,0.00036221385,0.00004640867,0.00009625991,0.00007429329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047410754,0.00020243516,0.00031646618,0.0009393543,0.00045470629,0.0017788225,0.00028781535,0.000593966,0.0023635083],"category_scores_gemma":[0.0022525138,0.00014634404,0.0004757552,0.0014099717,0.00046602797,0.0014327466,0.0005224434,0.0007137069,0.00019413797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016382574,0.0003033253,0.8225003,0.00043447563,0.0003762067,0.029373879,0.0024317335,0.041008145,0.002280681,0.07107294,0.0027217574,0.02585835],"study_design_scores_gemma":[0.000250626,0.0004309011,0.8066544,0.00030934354,0.00040889328,0.0067319092,0.01589627,0.13590968,0.0027978874,0.016438467,0.013966024,0.00020576314],"about_ca_topic_score_codex":0.07221557,"about_ca_topic_score_gemma":0.0454381,"teacher_disagreement_score":0.07221557,"about_ca_system_score_codex":0.0010405073,"about_ca_system_score_gemma":0.0005182402,"threshold_uncertainty_score":0.14359045},"labels":[],"label_agreement":null},{"id":"W2952025453","doi":"10.5430/ijfr.v10n5p145","title":"Mapping in Intellectual Capital Measurement in Creative Industries in East Java","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intellectual capital; Relational capital; Structural capital; Human capital; Creativity; Creative industries; Business; Intellectual property; Capital (architecture); Competition (biology); Sample (material); Industrial organization; Financial capital; Marketing; Individual capital; Economics; Economic growth; Finance; Computer science; Political science","score_opus":0.09268838197353077,"score_gpt":0.31340888196413463,"score_spread":0.22072049999060386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952025453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99060035,0.00012086345,0.0011119352,0.00008534557,0.0000039744045,0.000037875263,0.00011679761,0.000006226209,0.007916507],"genre_scores_gemma":[0.9981717,0.000094198316,0.0011999834,0.000011479042,0.0000016292114,0.00002854907,0.00005881786,0.0000013831949,0.00043212748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986576,0.0004135094,0.00016700904,0.00017387651,0.00039406912,0.00019396827],"domain_scores_gemma":[0.9967519,0.0013072019,0.0010835669,0.0001833912,0.00048506065,0.00018894795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015342509,0.00020167108,0.0001279496,0.002934589,0.0005239607,0.0015190496,0.00032706346,0.00023283905,0.0015905224],"category_scores_gemma":[0.005395931,0.000101393154,0.0001988681,0.003729962,0.0006385071,0.001323647,0.0009464546,0.0003184267,0.00012328825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007115845,0.00012315932,0.90536934,0.00019083403,0.000033447966,0.00030909324,0.008540062,0.00054308475,0.001966166,0.0020720838,0.00040725508,0.08037433],"study_design_scores_gemma":[0.0000035687344,0.000048936705,0.97891587,0.00006450768,0.000016727894,0.00014969034,0.015699388,0.0013116235,0.0010137538,0.0007111593,0.0020547903,0.000009916376],"about_ca_topic_score_codex":0.0069076843,"about_ca_topic_score_gemma":0.009855206,"teacher_disagreement_score":0.0069076843,"about_ca_system_score_codex":0.0012144106,"about_ca_system_score_gemma":0.0011258214,"threshold_uncertainty_score":0.013734937},"labels":[],"label_agreement":null},{"id":"W2952222019","doi":"10.5430/ijfr.v10n5p288","title":"The Integrity of Local Enforcement Officers: Self Proclaim vs Colleague Perception","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Seriousness; Enforcement; Dignity; Law enforcement; Perception; Local government; Business; Public relations; Criminal justice ethics; Government (linguistics); Test (biology); Political science; Public administration; Psychology; Law; Criminal justice","score_opus":0.029335312220296877,"score_gpt":0.3258734925157506,"score_spread":0.2965381802954537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952222019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743336,0.00006442566,0.00010293061,0.00030681203,0.000011190558,0.000008423257,0.000015569687,0.0000018900373,0.0020553626],"genre_scores_gemma":[0.99940455,0.000047818052,0.000037966696,0.000059269696,0.0000058629676,0.000004518352,0.000011894321,0.0000012521585,0.00042686288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972583,0.001404568,0.00018676669,0.00014483281,0.00062885816,0.00037661818],"domain_scores_gemma":[0.9852841,0.004341213,0.0056460863,0.0004995052,0.0016628966,0.0025661713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025784883,0.00017942632,0.0002211824,0.0007867017,0.0013605464,0.0019628867,0.0003436874,0.00052765466,0.0047792033],"category_scores_gemma":[0.014798333,0.00018266804,0.0002594742,0.0003903861,0.0016129276,0.0013787387,0.0013942762,0.0011053756,0.0005062794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018999017,0.0004738848,0.811982,0.00016650016,0.00006405509,0.0009390139,0.16510586,0.0000721497,0.0013571255,0.0007409876,0.001360572,0.017547881],"study_design_scores_gemma":[0.0000064863852,0.00040094843,0.50732154,0.00013367018,0.00002152034,0.00063269265,0.48766512,0.00022041262,0.0003262096,0.00019743176,0.0030393614,0.00003463606],"about_ca_topic_score_codex":0.0026300075,"about_ca_topic_score_gemma":0.0038144777,"teacher_disagreement_score":0.0047792033,"about_ca_system_score_codex":0.0006023797,"about_ca_system_score_gemma":0.0006561186,"threshold_uncertainty_score":0.015987992},"labels":[],"label_agreement":null},{"id":"W2952283999","doi":"10.5430/ijfr.v10n5p241","title":"The Effect of Tourism Towards the Food Security Issues to the Urban Poor in Sarawak, Malaysia: A Conceptual Approach","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Food security; Structural equation modeling; Margin (machine learning); Conceptual model; Business; Conceptual framework; Environmental economics; Marketing; Economic growth; Economics; Geography; Sociology; Computer science; Social science","score_opus":0.032404705668670604,"score_gpt":0.36077620389528603,"score_spread":0.32837149822661543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952283999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98025286,0.001043171,0.0005167468,0.0045982664,0.000023218296,0.00007163315,0.00012873339,0.0000034390928,0.013361831],"genre_scores_gemma":[0.9980933,0.00071604695,0.00037000605,0.00013429299,0.0000055493815,0.000041263913,0.000014178209,6.2166515e-7,0.00062467414],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993228,0.00040856493,0.000028967073,0.000041791423,0.00005976254,0.00013813184],"domain_scores_gemma":[0.998691,0.000616954,0.0003469595,0.000022908938,0.00012422094,0.00019801536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011915665,0.00036018447,0.00022131276,0.00238683,0.0012719835,0.0027459853,0.0005819677,0.0008479822,0.0034685326],"category_scores_gemma":[0.0013463334,0.00022494551,0.0005232722,0.0011851324,0.0031790154,0.0014851608,0.0024856688,0.0012484066,0.000116401054],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027243083,0.0010326128,0.660134,0.0018928022,0.00022817751,0.0027854566,0.13297366,0.005401536,0.0010442355,0.1539278,0.0023470565,0.03796021],"study_design_scores_gemma":[0.000033718356,0.00079509476,0.49137795,0.0024958057,0.0002864134,0.0007622838,0.4729416,0.0077055222,0.00045550114,0.011706512,0.011371193,0.00006840732],"about_ca_topic_score_codex":0.019993236,"about_ca_topic_score_gemma":0.032158278,"teacher_disagreement_score":0.019993236,"about_ca_system_score_codex":0.004469275,"about_ca_system_score_gemma":0.004146929,"threshold_uncertainty_score":0.039753735},"labels":[],"label_agreement":null},{"id":"W2952306635","doi":"10.5430/ijfr.v10n5p191","title":"Governance and Efficiency of Zakah Distributions Based on the Dire Necessities of Maqasid Al-Syariah","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Faith; Distribution (mathematics); Relation (database); Business; Public economics; Economics; Mathematics; Finance; Theology; Computer science","score_opus":0.022973626606770218,"score_gpt":0.3048939049076442,"score_spread":0.28192027830087396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952306635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691796,0.000057509078,0.00016170528,0.00014432761,0.0000016968461,0.00001077158,0.000019567447,0.000002029746,0.002684499],"genre_scores_gemma":[0.9994999,0.000035634148,0.000081523984,0.0000072923035,0.0000012384467,0.0000018710297,0.000010159964,4.7337454e-7,0.00036200797],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992207,0.00027954485,0.000053012154,0.00006624591,0.00015761392,0.00022290512],"domain_scores_gemma":[0.99801743,0.00029587737,0.0010447004,0.00011459218,0.00022204171,0.00030538917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009370641,0.00011281567,0.0001345471,0.00083039474,0.00086515787,0.0013633949,0.00024454037,0.0002049426,0.0022315027],"category_scores_gemma":[0.0028069653,0.00013314727,0.000088568064,0.0009102534,0.0013266911,0.0007174026,0.0011999975,0.0002517716,0.00014904328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011803875,0.0001033423,0.93351865,0.000062634565,0.000057856996,0.0007287593,0.012553392,0.0013279093,0.00185196,0.009737747,0.00096967537,0.038970027],"study_design_scores_gemma":[0.000007399962,0.00009956993,0.96887267,0.000043366206,0.000014347171,0.00033351095,0.022979952,0.0011983304,0.0004108249,0.0015205641,0.00450643,0.000013087789],"about_ca_topic_score_codex":0.006263141,"about_ca_topic_score_gemma":0.016756326,"teacher_disagreement_score":0.006263141,"about_ca_system_score_codex":0.0015201877,"about_ca_system_score_gemma":0.0011742461,"threshold_uncertainty_score":0.012453377},"labels":[],"label_agreement":null},{"id":"W2952357669","doi":"10.5430/ijfr.v10n5p66","title":"Theorizing Servitisation for SME Performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Industrial organization; Business; Product (mathematics); Competition (biology); Marketing; Mathematics","score_opus":0.06720823746188503,"score_gpt":0.354657242914735,"score_spread":0.28744900545284996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952357669","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25186005,0.0040247007,0.04008066,0.044926163,0.00027408722,0.00034557257,0.00018384955,0.00016258586,0.6581423],"genre_scores_gemma":[0.99339163,0.0009115894,0.002321902,0.0004740869,0.00003703843,0.00006797652,0.000039116792,0.000016705359,0.0027400025],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99329007,0.0045228726,0.00026325072,0.00038122397,0.00079109013,0.000751493],"domain_scores_gemma":[0.9882796,0.006448535,0.0017534669,0.0006345079,0.0013856058,0.0014982787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067941686,0.00080311944,0.00034235397,0.0033865406,0.0026609926,0.009731729,0.0014984302,0.0020307938,0.0069003548],"category_scores_gemma":[0.011464165,0.0002590997,0.00093726866,0.0024169348,0.019010102,0.009272682,0.006426839,0.0019685605,0.0008508879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002809626,0.00012396344,0.013400424,0.00049970235,0.00004554024,0.00082038285,0.051635314,0.0029658736,0.00034384776,0.9085308,0.0029362917,0.018669806],"study_design_scores_gemma":[0.000048968042,0.00020913553,0.012273007,0.002682772,0.00009716889,0.000686113,0.13963917,0.010733489,0.00089089375,0.73901486,0.09364425,0.00008014741],"about_ca_topic_score_codex":0.0030464253,"about_ca_topic_score_gemma":0.0016691096,"teacher_disagreement_score":0.009731729,"about_ca_system_score_codex":0.008882212,"about_ca_system_score_gemma":0.0066091353,"threshold_uncertainty_score":0.06444526},"labels":[],"label_agreement":null},{"id":"W2952461299","doi":"10.5430/ijfr.v10n4p37","title":"Can Social Performance Improve Financial Performance and Increase Customers’ Trust?","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Negeri Semarang","keywords":"Profitability index; Islam; Business; Disbursement; Debt; Sample (material); Finance; Distribution (mathematics); Accounting; Financial system","score_opus":0.019025052557461702,"score_gpt":0.28826586804101967,"score_spread":0.26924081548355794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952461299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9479646,0.0006388172,0.0006586182,0.007276962,0.000074351105,0.00004436567,0.00007336501,0.000018163064,0.04325072],"genre_scores_gemma":[0.99900395,0.00015900462,0.000114709495,0.00015263031,0.0000194138,0.0000052702944,0.000011522497,0.0000018148698,0.00053174567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971751,0.0015514173,0.00008120733,0.00013519403,0.00046263722,0.0005944797],"domain_scores_gemma":[0.9881269,0.0040078256,0.0036509542,0.0005681566,0.0012985765,0.0023476738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022449242,0.0002800267,0.00026088842,0.000673195,0.0011656731,0.0038178528,0.000335994,0.0012062398,0.006878942],"category_scores_gemma":[0.011778603,0.00013662575,0.00038606563,0.0006331309,0.0015966563,0.0027644418,0.0015764746,0.0012083482,0.0008155944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059808535,0.004017521,0.63321596,0.0006622073,0.0003810889,0.0013257707,0.02941588,0.00097142364,0.0023784044,0.021654718,0.010523828,0.294855],"study_design_scores_gemma":[0.00008956265,0.0015749685,0.9132792,0.0003986789,0.00022100774,0.00057039177,0.04096471,0.002633858,0.0014115812,0.013050505,0.025690427,0.00011519809],"about_ca_topic_score_codex":0.0022337586,"about_ca_topic_score_gemma":0.003679332,"teacher_disagreement_score":0.006878942,"about_ca_system_score_codex":0.0014540794,"about_ca_system_score_gemma":0.0013844696,"threshold_uncertainty_score":0.02301234},"labels":[],"label_agreement":null},{"id":"W2952654711","doi":"10.5430/ijfr.v10n5p280","title":"Measuring the Outreach Level of Micro-finance Institutions in Bangladesh","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Outreach; Microfinance; Business; Loan; Collateral; Financial system; Economic growth; Finance; Actuarial science; Economics; Demographic economics","score_opus":0.3211756797814806,"score_gpt":0.37678050617727143,"score_spread":0.05560482639579084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952654711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939574,0.000120431585,0.000102561935,0.00017002891,0.0000016895336,0.000025374311,0.0003811345,0.0000045960196,0.00523686],"genre_scores_gemma":[0.9984345,0.00018605044,0.00008318143,0.000020095995,0.0000021278772,0.000013640374,0.0001785844,8.696223e-7,0.0010809768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991467,0.00023340665,0.00008808872,0.00009379813,0.0002081195,0.00022991406],"domain_scores_gemma":[0.99530375,0.0008845401,0.0021428256,0.00012138439,0.0006246799,0.0009228659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008613232,0.00023554354,0.00024701163,0.0013871779,0.0004897591,0.0010845605,0.00032751594,0.00033193492,0.003452526],"category_scores_gemma":[0.0033854335,0.00015769979,0.00018368488,0.0017875291,0.00055602554,0.00087451685,0.0010617509,0.00040383692,0.00070257235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005994199,0.000091389724,0.98342055,0.00007156651,0.00002631512,0.0002386374,0.0023367251,0.0006072722,0.00065686996,0.00054614275,0.00047005306,0.011474451],"study_design_scores_gemma":[0.0000034378497,0.00009310249,0.9917292,0.000046495858,0.000010862877,0.00009531327,0.0061438163,0.00030455136,0.00023363995,0.00013756075,0.0011911831,0.0000107932565],"about_ca_topic_score_codex":0.020609362,"about_ca_topic_score_gemma":0.028483145,"teacher_disagreement_score":0.020609362,"about_ca_system_score_codex":0.0017763391,"about_ca_system_score_gemma":0.0009203372,"threshold_uncertainty_score":0.04097879},"labels":[],"label_agreement":null},{"id":"W2952656983","doi":"10.5430/ijfr.v10n5p262","title":"Study on the Development Strategy of Ant Financial","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"The Internet; SWOT analysis; Business; China; Finance; Convergence (economics); Process (computing); Financial services; Marketing; Economics; Computer science; Economic growth; World Wide Web","score_opus":0.3643369100179539,"score_gpt":0.5191921242016332,"score_spread":0.1548552141836793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952656983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84566253,0.00072042097,0.008372964,0.002900915,0.00003325016,0.00024406519,0.000077296405,0.000045078683,0.14194347],"genre_scores_gemma":[0.9880834,0.00043578315,0.0036950945,0.00009633753,0.0000053766025,0.000032209227,0.00003414835,0.000008612607,0.007609085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903524,0.00038450997,0.000048498056,0.00007706806,0.00025916655,0.00019553964],"domain_scores_gemma":[0.9965125,0.0012556341,0.00054665824,0.000080750055,0.0009739588,0.0006304972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016802201,0.00018197941,0.00010689724,0.0022246821,0.0015277817,0.003321457,0.00046860205,0.00055763393,0.0033185852],"category_scores_gemma":[0.0042615663,0.00016972411,0.0001893233,0.00215933,0.0013044452,0.002257627,0.001005814,0.0005098549,0.00040798905],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002276633,0.0006323757,0.15457304,0.00065328507,0.00003288967,0.005857398,0.059555843,0.0073482734,0.005395344,0.4120823,0.008928195,0.34471333],"study_design_scores_gemma":[0.00005047592,0.0009874617,0.24436928,0.0008502441,0.00008736266,0.004426303,0.2198124,0.07471253,0.012353801,0.05707209,0.38515225,0.0001257642],"about_ca_topic_score_codex":0.004617738,"about_ca_topic_score_gemma":0.006508144,"teacher_disagreement_score":0.004617738,"about_ca_system_score_codex":0.003442863,"about_ca_system_score_gemma":0.00452471,"threshold_uncertainty_score":0.02497989},"labels":[],"label_agreement":null},{"id":"W2952766313","doi":"10.5430/ijfr.v10n5p359","title":"The Effect of Demographic Variables and Ownership on Credit Card Market in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit card; Business; Credit card interest; Database transaction; Credit history; Variables; Credit reference; Marketing; Actuarial science; Finance; Payment; Credit risk","score_opus":0.02769908324234617,"score_gpt":0.30035486902405756,"score_spread":0.2726557857817114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952766313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99756444,0.00020374777,0.000043396954,0.000247373,0.000005741554,0.0000057826305,0.00019432146,0.0000017952592,0.001733448],"genre_scores_gemma":[0.9990815,0.00016374426,0.000029016917,0.000022847824,0.0000058369865,0.000002563396,0.000099092445,8.8754337e-7,0.00059439766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995432,0.0001407725,0.000042134354,0.00005323077,0.00009389532,0.00012672287],"domain_scores_gemma":[0.995611,0.0012490229,0.0019500598,0.00010963799,0.00030898093,0.0007714401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007355472,0.00012825169,0.00016342885,0.00059696886,0.00033194126,0.0009100677,0.00019100211,0.00024669882,0.005783651],"category_scores_gemma":[0.0036166853,0.000105191066,0.00027871729,0.00064025447,0.0003895632,0.00088691467,0.00051032676,0.000647746,0.00054880296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037240516,0.000062239575,0.99551,0.0000101877895,0.000014910326,0.00010095679,0.00026775533,0.00009786431,0.000060673494,0.00022655007,0.00019407592,0.0034176053],"study_design_scores_gemma":[0.0000014908472,0.00005477689,0.99730897,0.000021640324,0.000009826558,0.00009450491,0.0015546153,0.0003637613,0.000060156053,0.00008569703,0.00043991263,0.0000047336307],"about_ca_topic_score_codex":0.014937099,"about_ca_topic_score_gemma":0.019432522,"teacher_disagreement_score":0.014937099,"about_ca_system_score_codex":0.00043823879,"about_ca_system_score_gemma":0.0007732872,"threshold_uncertainty_score":0.029700339},"labels":[],"label_agreement":null},{"id":"W2952915421","doi":"10.5430/ijfr.v10n5p92","title":"Propagating Transparency and Accountability Through Integrated Reporting: An Empirical Insight From a Developing Country","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Integrated reporting; Business; Transparency (behavior); Accounting; Stakeholder; Accountability; Agency (philosophy); Empirical research; Empirical evidence; Financial statement; Public relations; Marketing; Political science; Sustainability","score_opus":0.08570206952994912,"score_gpt":0.38247190287268906,"score_spread":0.29676983334273993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952915421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596053,0.00010274295,0.00012976449,0.000339741,0.0000023177693,0.000024856303,0.00004138182,0.0000016638159,0.0033968657],"genre_scores_gemma":[0.99922943,0.00019419708,0.00026314886,0.00006333227,0.0000022676845,0.000007394896,0.000029060126,0.0000014007982,0.00020972735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975013,0.001371965,0.00018900273,0.00015450954,0.00036488814,0.0004182837],"domain_scores_gemma":[0.9750745,0.011214285,0.008504628,0.001038637,0.0032778697,0.0008899315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058071692,0.00020524277,0.00024016657,0.002132428,0.0018903068,0.0033959958,0.00042355253,0.00042904832,0.0012361942],"category_scores_gemma":[0.012938986,0.00026010783,0.00018870026,0.004091348,0.0016936985,0.0021339639,0.0021460147,0.001194944,0.00017383827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015557677,0.00051033363,0.85674334,0.00025957703,0.00004725874,0.0038073573,0.09547016,0.00063619704,0.0012270296,0.004958017,0.0009487321,0.035236467],"study_design_scores_gemma":[0.000032705586,0.00041869853,0.6443403,0.0006039969,0.0000960227,0.0010364781,0.34001052,0.0015583957,0.0012646726,0.00082813343,0.009756829,0.000053231848],"about_ca_topic_score_codex":0.02123298,"about_ca_topic_score_gemma":0.027149225,"teacher_disagreement_score":0.02123298,"about_ca_system_score_codex":0.0020062623,"about_ca_system_score_gemma":0.0034576466,"threshold_uncertainty_score":0.042218804},"labels":[],"label_agreement":null},{"id":"W2953085396","doi":"10.5430/ijfr.v10n5p82","title":"Organization Culture - Oriented Training Design","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organizational culture; Complement (music); Qualitative property; Knowledge management; Order (exchange); Computer science; Qualitative research; Business; Management; Sociology; Public relations; Political science; Social science","score_opus":0.10886663626056729,"score_gpt":0.4296989309610586,"score_spread":0.3208322947004913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953085396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3168589,0.00095113827,0.50348,0.0026466139,0.0007425136,0.0694845,0.0019001088,0.00081767765,0.10311856],"genre_scores_gemma":[0.3994792,0.00067709765,0.4564373,0.0011210999,0.00008210167,0.12114675,0.00075233,0.000089050605,0.020215062],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99388146,0.0042460756,0.00032337097,0.00055682374,0.0006300163,0.00036238777],"domain_scores_gemma":[0.9948084,0.0022913078,0.00051654555,0.0005360033,0.0014130711,0.0004345906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008408535,0.0007200955,0.00037992725,0.0016323079,0.0011269393,0.0019838363,0.0012034286,0.0008586715,0.015382658],"category_scores_gemma":[0.006724257,0.0003875731,0.00067655655,0.0011620794,0.0012338161,0.0010949486,0.001594117,0.0011306992,0.0016411282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022016582,0.008187512,0.032056067,0.0057016797,0.00030179793,0.0005154861,0.025248282,0.018888785,0.014451184,0.2609456,0.013546067,0.6179558],"study_design_scores_gemma":[0.0070676142,0.027627503,0.073702544,0.003499595,0.0012045086,0.0006643092,0.0768456,0.07861319,0.03394548,0.1789132,0.51759654,0.00031992796],"about_ca_topic_score_codex":0.0008898935,"about_ca_topic_score_gemma":0.0012711448,"teacher_disagreement_score":0.015382658,"about_ca_system_score_codex":0.0028128698,"about_ca_system_score_gemma":0.0042108367,"threshold_uncertainty_score":0.051460087},"labels":[],"label_agreement":null},{"id":"W2953213708","doi":"10.5430/ijfr.v10n5p26","title":"Time Series Analysis to Predicting Demand of Roasted Coffee Production","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exponential smoothing; Production (economics); Moving average; Demand forecasting; Statistics; Mathematics; Econometrics; Economics; Operations research","score_opus":0.028062504344191944,"score_gpt":0.3161483550022656,"score_spread":0.2880858506580737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953213708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92059815,0.00058547995,0.073209964,0.00043178844,0.00012112741,0.000059601978,0.0008393567,0.00034348943,0.0038111175],"genre_scores_gemma":[0.9848525,0.00026310785,0.013274912,0.000019013482,0.00003116161,0.000028940442,0.00054785,0.000013571979,0.0009690863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969685,0.00010354643,0.000027416958,0.000057825182,0.00008303836,0.000031292882],"domain_scores_gemma":[0.999035,0.0006509771,0.00009450737,0.000040672938,0.00014773454,0.000031112184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665438,0.0003939502,0.00033037565,0.0011677709,0.0001638878,0.0005536389,0.00028047236,0.0003483317,0.0014861709],"category_scores_gemma":[0.0028064516,0.00012661504,0.00049762055,0.0013849502,0.00009917958,0.00046855226,0.00016162946,0.00054469565,0.0003111713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066361425,0.00064348837,0.13148955,0.00036861727,0.00042246724,0.00064359425,0.000435114,0.51675636,0.015536389,0.0050660158,0.004278328,0.3236965],"study_design_scores_gemma":[0.000003683469,0.000072800074,0.019021196,0.000010143543,0.000021865008,0.000028891276,0.000095867435,0.9783438,0.0011916807,0.0004965454,0.00070343463,0.000010156872],"about_ca_topic_score_codex":0.012950939,"about_ca_topic_score_gemma":0.008851412,"teacher_disagreement_score":0.012950939,"about_ca_system_score_codex":0.00050412567,"about_ca_system_score_gemma":0.00034933834,"threshold_uncertainty_score":0.025751114},"labels":[],"label_agreement":null},{"id":"W2953241699","doi":"10.5430/ijfr.v10n5p459","title":"The Determinants Factors of an Effective Risk-Aware Culture of Firms in Implementing and Maintaining Risk Management Program","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Risk management; Organizational culture; Set (abstract data type); Competition (biology); Risk analysis (engineering); Safety culture; Identification (biology); Marketing; Specific risk; Public relations; Economics; Computer science; Finance; Management; Political science","score_opus":0.019536716606786526,"score_gpt":0.35713794882524175,"score_spread":0.3376012322184552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953241699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747447,0.0015805905,0.0012846679,0.0028617631,0.00005614563,0.00008492958,0.000051297673,0.0000130874005,0.019322926],"genre_scores_gemma":[0.99771404,0.0007631485,0.00045056362,0.00019758975,0.000011653142,0.000017325287,0.000020867474,0.0000036443344,0.00082111626],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9932842,0.0020529423,0.00064653304,0.00040566258,0.0026284792,0.0009822723],"domain_scores_gemma":[0.9625124,0.013974332,0.011926395,0.0015249073,0.0061553097,0.0039067063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049509164,0.00021285751,0.00019655186,0.001380905,0.0018168696,0.005890295,0.0005671997,0.0008970901,0.0025697446],"category_scores_gemma":[0.023959786,0.00018838762,0.00030005485,0.0013979013,0.0014416504,0.0023078884,0.0020073825,0.0014334113,0.00035714952],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009402719,0.0009795402,0.79338795,0.0009956833,0.00019575283,0.0013034834,0.07545635,0.0007049061,0.0024638367,0.009136429,0.0045855977,0.110696554],"study_design_scores_gemma":[0.000013187286,0.00028668673,0.8442904,0.00092558796,0.0001286548,0.00047187827,0.12601092,0.00092566916,0.0012470074,0.0024407874,0.023156503,0.000102713806],"about_ca_topic_score_codex":0.0052074264,"about_ca_topic_score_gemma":0.0071306694,"teacher_disagreement_score":0.005890295,"about_ca_system_score_codex":0.0023313754,"about_ca_system_score_gemma":0.0050702444,"threshold_uncertainty_score":0.026183248},"labels":[],"label_agreement":null},{"id":"W2954172337","doi":"10.5430/ijfr.v10n4p68","title":"Does Availability Bias Have Influence on FMCG Investors? An Empirical Study on Cognitive Dissonance, Rational Behaviour and Mental Accounting Bias","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental accounting; Cognitive dissonance; Cognitive bias; Confirmation bias; Behavioral economics; Portfolio; Accounting research; Investment decisions; Accounting; Cognition; Psychology; Business; Economics; Actuarial science; Financial economics; Social psychology; Finance","score_opus":0.14944278958621374,"score_gpt":0.39291682109982656,"score_spread":0.24347403151361283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954172337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978809,0.00017662227,0.00012021641,0.00020742256,0.000004269955,0.00000766635,0.000014942843,0.0000013366036,0.001586669],"genre_scores_gemma":[0.9996239,0.00008811962,0.00005700151,0.000029627037,0.0000065759514,0.000002142952,0.000010708264,6.6873696e-7,0.00018129662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985336,0.0005699478,0.00010913773,0.0001439485,0.00044594723,0.00019743358],"domain_scores_gemma":[0.9845131,0.008115082,0.005458782,0.0005776985,0.00063160097,0.00070365233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001796309,0.00017732785,0.00019692178,0.0007435225,0.0003713987,0.0011619455,0.00022735508,0.00045184224,0.0022566852],"category_scores_gemma":[0.01331648,0.0001211054,0.00031602208,0.000544625,0.00069339725,0.00058905553,0.00046743185,0.0006472191,0.00015087222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013807918,0.00013677306,0.9873546,0.000026682821,0.00006227012,0.00024480687,0.0020346132,0.000097744865,0.00038526,0.00049537147,0.000083127634,0.008940758],"study_design_scores_gemma":[0.0000074375334,0.00010412704,0.99454486,0.000029176857,0.00005485116,0.00015399285,0.0028080032,0.0007802166,0.0003915095,0.0006241012,0.000491493,0.000010146783],"about_ca_topic_score_codex":0.0037931616,"about_ca_topic_score_gemma":0.0037806267,"teacher_disagreement_score":0.0037931616,"about_ca_system_score_codex":0.0004805775,"about_ca_system_score_gemma":0.0005467883,"threshold_uncertainty_score":0.0094999075},"labels":[],"label_agreement":null},{"id":"W2954198703","doi":"10.5430/ijfr.v10n4p55","title":"An Analysis of Behavioral Biases in Investment Decision-Making","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":143,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overconfidence effect; Disposition effect; Herding; Herd behavior; Behavioral economics; Investment decisions; Loss aversion; Cognitive bias; Investment (military); Psychology; Prospect theory; Descriptive statistics; Anchoring; Confirmation bias; Actuarial science; Economics; Social psychology; Finance; Cognition; Statistics","score_opus":0.11558258963591418,"score_gpt":0.40915006356465344,"score_spread":0.2935674739287393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954198703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987412,0.000042811153,0.00047652857,0.000036121535,0.0000019071952,0.000009813164,0.00004514206,0.0000020246766,0.0006445067],"genre_scores_gemma":[0.9993685,0.000028078926,0.0004380729,0.000010041024,0.0000024279311,0.0000076174856,0.00005028994,6.3378417e-7,0.00009442655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843305,0.0008219063,0.00014342867,0.000121847115,0.00036422617,0.000115520736],"domain_scores_gemma":[0.97744787,0.0147770895,0.00502272,0.00093965133,0.0012910187,0.00052162044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028361888,0.00015426906,0.00018215338,0.0007970219,0.00020916131,0.0006903414,0.00014015939,0.00024761786,0.00092942076],"category_scores_gemma":[0.017473778,0.0000903542,0.00029017383,0.0007160041,0.00025856614,0.0004441822,0.00032103166,0.00032408469,0.00009530934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014852181,0.0001080139,0.98314786,0.000023901473,0.000071620525,0.000045786717,0.00088965974,0.0004409214,0.00060503953,0.00031181023,0.00007059736,0.014136232],"study_design_scores_gemma":[0.0000053646704,0.00018961066,0.9920059,0.00001902601,0.00004093819,0.000095421725,0.0011039628,0.004899588,0.0005744342,0.0007343153,0.0003190884,0.000012439376],"about_ca_topic_score_codex":0.0015077428,"about_ca_topic_score_gemma":0.0020364735,"teacher_disagreement_score":0.0028361888,"about_ca_system_score_codex":0.0004173979,"about_ca_system_score_gemma":0.0004179892,"threshold_uncertainty_score":0.01499933},"labels":[],"label_agreement":null},{"id":"W2955907353","doi":"10.5430/ijfr.v10n4p46","title":"Factors Underlying Attitude Formation Towards Crowdfunding in India","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Raising (metalworking); Sample (material); Reliability (semiconductor); Sample size determination; Population; Marketing; Regression analysis; Business; Statistics; Engineering; Mathematics; Sociology","score_opus":0.15019969649525855,"score_gpt":0.39056528891852055,"score_spread":0.240365592423262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955907353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840707,0.000028362614,0.000054787855,0.00014461408,0.0000035265757,0.0000073754054,0.000012465413,0.0000020417226,0.0013397646],"genre_scores_gemma":[0.9997644,0.00002709609,0.000027433407,0.000017475908,0.0000028333552,0.000002071097,0.0000068153577,4.7047277e-7,0.0001514373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999003,0.00033177703,0.0000676668,0.000062155035,0.00029554233,0.0002398923],"domain_scores_gemma":[0.9946461,0.0016281178,0.0021476895,0.00024328363,0.0005730002,0.0007618825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009100028,0.0001325208,0.00013218535,0.0009806335,0.00087190344,0.0011484666,0.00023364632,0.00028231923,0.0017600416],"category_scores_gemma":[0.0046443054,0.00011792875,0.00022512575,0.0006748539,0.0010863567,0.0002878255,0.00063643017,0.00049992494,0.0001370255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057725407,0.00013752637,0.9753254,0.000038207836,0.000025168029,0.0004289379,0.014698783,0.00017219922,0.0006217511,0.00059867825,0.0003324129,0.0075631724],"study_design_scores_gemma":[0.0000030845051,0.000083225386,0.96827894,0.000033064323,0.000015760323,0.0003213526,0.02892423,0.00033024032,0.00022710966,0.00021981259,0.0015452427,0.000017946082],"about_ca_topic_score_codex":0.013217958,"about_ca_topic_score_gemma":0.008972051,"teacher_disagreement_score":0.013217958,"about_ca_system_score_codex":0.00084873434,"about_ca_system_score_gemma":0.00092908216,"threshold_uncertainty_score":0.026282012},"labels":[],"label_agreement":null},{"id":"W2959246915","doi":"10.5430/ijfr.v10n4p84","title":"The Volatility Spillover Effect Between the International Crude Oil Futures Price and China’s Stock Market - Multivariate BEKK-GARCH Model Based on Wavelet Multiresolution","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Futures contract; West Texas Intermediate; Spillover effect; Financial economics; Econometrics; Stock market; Brent Crude; Stock market index; Autoregressive conditional heteroskedasticity; Stock (firearms); Macroeconomics","score_opus":0.03348212981074749,"score_gpt":0.31865460282590335,"score_spread":0.28517247301515586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959246915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97700435,0.0004920084,0.019318707,0.00030334332,0.00003052442,0.000020589607,0.00015188551,0.00005187296,0.0026268554],"genre_scores_gemma":[0.9980635,0.00028778685,0.0009148997,0.000017110779,0.000022118465,0.0000066670973,0.00011617177,0.0000037659509,0.0005680297],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960905,0.00008613568,0.000021262815,0.00009618555,0.00010732638,0.00008010739],"domain_scores_gemma":[0.9989365,0.0005072117,0.000267764,0.000092568,0.00012894998,0.00006691489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011394183,0.000453054,0.0004555731,0.0007954994,0.00025850208,0.0009063848,0.00037378937,0.00048121996,0.0015139926],"category_scores_gemma":[0.0032587969,0.00024069932,0.0009879924,0.00064432237,0.0003294412,0.0015736708,0.0007458271,0.0007165874,0.00014346505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065522664,0.0004921495,0.42781803,0.00034003312,0.0015187011,0.003699551,0.0008530905,0.40323415,0.017683525,0.063863315,0.0023757624,0.077466436],"study_design_scores_gemma":[0.00004222838,0.00019756412,0.17420773,0.0000339906,0.00045245184,0.00033129053,0.000278028,0.8097168,0.0027361203,0.011059796,0.00087611884,0.00006782348],"about_ca_topic_score_codex":0.0067314613,"about_ca_topic_score_gemma":0.0042542983,"teacher_disagreement_score":0.0067314613,"about_ca_system_score_codex":0.00049556146,"about_ca_system_score_gemma":0.0006564385,"threshold_uncertainty_score":0.013384521},"labels":[],"label_agreement":null},{"id":"W2963160440","doi":"10.5430/ijfr.v10n4p172","title":"Effect of Apportioned Federal Revenue on Economic Growth: The Nigerian Experience","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Revenue sharing; Government (linguistics); Language change; Corporate governance; Government revenue; Economics; Ordinary least squares; State (computer science); Real gross domestic product; Central government; Business; Finance; Local government; Monetary economics; Public administration; Political science; Econometrics","score_opus":0.045857692318639426,"score_gpt":0.3427873833370511,"score_spread":0.2969296910184117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963160440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99425703,0.0003500001,0.000017278417,0.00068885105,0.000010977134,0.00000307529,0.000037037407,7.8865116e-7,0.0046350393],"genre_scores_gemma":[0.9980526,0.0007528671,0.000016824042,0.000050646893,0.000005185237,0.0000018825715,0.000027786582,0.0000011534211,0.0010909978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967885,0.00011103976,0.000018402507,0.000023263216,0.000045546905,0.00012296303],"domain_scores_gemma":[0.9992256,0.00024675208,0.00019745683,0.000028372524,0.00010803688,0.00019370102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080617465,0.00013444938,0.00018653553,0.0003171805,0.0011308388,0.0012149903,0.0001673796,0.00029802066,0.0015639703],"category_scores_gemma":[0.0013588902,0.000099748475,0.000096898024,0.00078815105,0.00073913817,0.0009647203,0.0009192974,0.0007979768,0.00022646697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004646203,0.00064697285,0.8272204,0.00022173903,0.0000233136,0.0071778386,0.062648505,0.0009292983,0.0014699834,0.013564217,0.0069285226,0.07870457],"study_design_scores_gemma":[0.000021773303,0.0003082741,0.80642915,0.0003871426,0.000023678735,0.0013606712,0.14390226,0.0010043223,0.00087437534,0.0014367962,0.04422234,0.000029279041],"about_ca_topic_score_codex":0.020727515,"about_ca_topic_score_gemma":0.045074556,"teacher_disagreement_score":0.020727515,"about_ca_system_score_codex":0.0011053412,"about_ca_system_score_gemma":0.0011427532,"threshold_uncertainty_score":0.04121375},"labels":[],"label_agreement":null},{"id":"W2963257323","doi":"10.5430/ijfr.v10n4p90","title":"Reasons Are Given for the Current Wildcat Strikes in Vietnam: The Blue-Collar Workers' Perspective","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Seniority; Collar; Allowance (engineering); Perspective (graphical); Demographic economics; Socioeconomics; Political science; Blue collar; Geography; Sociology; Business; Law; Economics; Operations management; Finance","score_opus":0.055055413913511715,"score_gpt":0.4312942743491188,"score_spread":0.3762388604356071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963257323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990842,0.0005172904,0.000060467366,0.002823771,0.00003836596,0.000005877868,0.000061765444,0.0000010231341,0.0056495033],"genre_scores_gemma":[0.99737835,0.00052170764,0.000034649274,0.00024317032,0.00001197182,0.0000029093576,0.00003063082,9.922597e-7,0.0017756635],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99935216,0.0002620754,0.000036051715,0.00003588987,0.000113135946,0.00020063821],"domain_scores_gemma":[0.99814,0.00044065533,0.0005530104,0.000024141535,0.0002997458,0.00054245023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009917369,0.000163379,0.00018103137,0.00067477126,0.0025042754,0.0019405484,0.00032967873,0.00054730655,0.00314966],"category_scores_gemma":[0.0017730042,0.00016082713,0.00017888584,0.0005548804,0.0012981613,0.00077238656,0.0006830593,0.0009967136,0.00025007993],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006255552,0.00009817123,0.6861659,0.00015545089,0.0000324354,0.0024364395,0.29070443,0.0000885909,0.0006836624,0.0017183241,0.0029937853,0.0148603255],"study_design_scores_gemma":[0.0000030025578,0.00006062255,0.20694342,0.00012896379,0.000006664688,0.0004354556,0.7848772,0.00007239126,0.00008351778,0.00020834163,0.0071694055,0.000011104026],"about_ca_topic_score_codex":0.04272995,"about_ca_topic_score_gemma":0.11062365,"teacher_disagreement_score":0.04272995,"about_ca_system_score_codex":0.0017389496,"about_ca_system_score_gemma":0.0023342085,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2963557385","doi":"10.5430/ijfr.v10n4p181","title":"Influence of Local Tax and Zakat Infaq Maslahah Through to Regional Income (Overview of New Trends in Sustainable Development)","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Revenue; Welfare; Variables; Economics; Business; Demographic economics; Public economics; Statistics; Finance; Mathematics","score_opus":0.08458243308624828,"score_gpt":0.35115571294475684,"score_spread":0.26657327985850854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963557385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95215595,0.0016215208,0.00043170564,0.0015340233,0.000102235404,0.000043641492,0.00086336606,0.00003406419,0.04321351],"genre_scores_gemma":[0.99356365,0.00084254396,0.00028847373,0.000048670663,0.00001674585,0.000014601114,0.00027148414,0.000010844493,0.0049430635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941564,0.00016237126,0.000039062423,0.00007583788,0.00017137741,0.0001357667],"domain_scores_gemma":[0.99867237,0.00022281401,0.00044506212,0.000054101118,0.00030860142,0.00029718524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000751846,0.0001987887,0.00014741602,0.00056548585,0.00037359365,0.0013620323,0.00026433612,0.00012946592,0.005408403],"category_scores_gemma":[0.0016767924,0.000109347886,0.00028659002,0.0010718921,0.00030474662,0.00060900796,0.0010719672,0.00063486985,0.00050921453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000655797,0.00014432287,0.8999513,0.00021911995,0.0001147275,0.00031618972,0.002697815,0.0010827639,0.00039412902,0.0032184322,0.0063802674,0.08541528],"study_design_scores_gemma":[0.0000018806596,0.000040690433,0.977803,0.00013391773,0.00005436052,0.000090454574,0.006768735,0.0007732276,0.00023030394,0.0002809761,0.013813079,0.000009485033],"about_ca_topic_score_codex":0.024250792,"about_ca_topic_score_gemma":0.051831782,"teacher_disagreement_score":0.024250792,"about_ca_system_score_codex":0.0010337407,"about_ca_system_score_gemma":0.0015992876,"threshold_uncertainty_score":0.048219323},"labels":[],"label_agreement":null},{"id":"W2963603136","doi":"10.5430/ijfr.v10n4p96","title":"The Composition of Independent Board of Commissioner and Number of Board of Commissioner Meeting Towards Fraudulence of Financial Report (Empirical Study at Public Company Listed at Indonesia Stock Exchange in 2011-2017)","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Stock exchange; Business; Corporate governance; Audit committee; Descriptive statistics; Audit; Annual report; Composition (language); Population; Finance; Statistics","score_opus":0.07540777381506181,"score_gpt":0.3612250138365522,"score_spread":0.2858172400214904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963603136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780685,0.0001929385,0.00013756068,0.00016841512,0.000010802735,0.000018336928,0.00011983104,0.0000031662482,0.0015420772],"genre_scores_gemma":[0.99913114,0.00011250857,0.0001365361,0.000018504055,0.000018645826,0.000008182803,0.00012138793,0.0000017955393,0.0004511193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99524564,0.0014268426,0.0006318963,0.0005480858,0.0015112517,0.00063628046],"domain_scores_gemma":[0.93342745,0.011425154,0.046003938,0.001562417,0.0035405091,0.0040405514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00354727,0.00019368962,0.00023529504,0.0019491146,0.0005158578,0.0016576326,0.000445588,0.0004310205,0.0026546826],"category_scores_gemma":[0.023587551,0.00016940285,0.0002877964,0.0019538382,0.00067373255,0.0010415745,0.0008990082,0.0007464873,0.00039109756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033718854,0.00005432575,0.9954904,0.000010955483,0.00001642752,0.00005924648,0.0002656803,0.00004239347,0.000050151524,0.000070202244,0.00020516993,0.003701412],"study_design_scores_gemma":[0.000001501784,0.000029361769,0.9986607,0.000013652355,0.0000145467775,0.00007493623,0.0005815699,0.00014489355,0.000075237476,0.000031511277,0.00036915587,0.000002939061],"about_ca_topic_score_codex":0.0057827053,"about_ca_topic_score_gemma":0.0077191074,"teacher_disagreement_score":0.0057827053,"about_ca_system_score_codex":0.0010515727,"about_ca_system_score_gemma":0.0011082804,"threshold_uncertainty_score":0.018759966},"labels":[],"label_agreement":null},{"id":"W2963998997","doi":"10.5430/ijfr.v10n4p119","title":"The Role of Foreign Directors in Corporate Risk Disclosure: Empirical Evidence From Jordan","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Business; Argument (complex analysis); Principal–agent problem; Agency (philosophy); Sample (material); Empirical evidence; Resource dependence theory; Actuarial science; Corporate governance; Finance; Economics; Management","score_opus":0.07435187109648751,"score_gpt":0.3487353832128833,"score_spread":0.2743835121163958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963998997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99406296,0.002573238,0.0000710813,0.0005906454,0.000007101079,0.0000056214835,0.000031831783,0.0000011457216,0.0026564738],"genre_scores_gemma":[0.9974975,0.0017025634,0.00006951471,0.00014500094,0.000019687006,0.0000021174953,0.000036714846,7.897718e-7,0.0005260782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865353,0.0006725233,0.000105629,0.00010138672,0.00032463248,0.00014223075],"domain_scores_gemma":[0.9845858,0.0054568527,0.0066918726,0.00036156844,0.001973712,0.0009301888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003211759,0.0001383067,0.00018431526,0.001061809,0.00071875274,0.0015377919,0.00026560255,0.00034134937,0.0016389833],"category_scores_gemma":[0.007991906,0.000103806,0.00011657145,0.0012400186,0.00077076495,0.0009808859,0.00081839086,0.00035970783,0.00015284804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016841824,0.00019864966,0.9457252,0.00021932553,0.000042655633,0.0006690917,0.013048604,0.00017072947,0.0002190964,0.001293658,0.0009209488,0.03732364],"study_design_scores_gemma":[0.000017259295,0.00016608926,0.9310308,0.0004104352,0.000079368314,0.0007370356,0.054396287,0.000444772,0.0005714921,0.0005407648,0.011585494,0.000020102447],"about_ca_topic_score_codex":0.0057277777,"about_ca_topic_score_gemma":0.009136099,"teacher_disagreement_score":0.0057277777,"about_ca_system_score_codex":0.0007015684,"about_ca_system_score_gemma":0.0015914796,"threshold_uncertainty_score":0.016985595},"labels":[],"label_agreement":null},{"id":"W2964093363","doi":"10.5430/ijfr.v10n4p152","title":"Firm Value Improvement Strategy, Corporate Social Responsibility, and Institutional Ownership","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Return on assets; Business; Enterprise value; Stock exchange; Debt-to-equity ratio; Nonprobability sampling; Leverage (statistics); Bivariate analysis; Variables; Accounting; Share price; Moderation; Finance; Public relations","score_opus":0.09494210200278942,"score_gpt":0.3321275005991127,"score_spread":0.23718539859632332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964093363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957307,0.000080138474,0.00014937311,0.00007993552,0.0000012061145,0.000009756964,0.00001612047,0.0000019362142,0.0039308453],"genre_scores_gemma":[0.99975806,0.000018520346,0.00003778035,0.0000039743827,0.0000011974587,0.0000018565148,0.000010071805,2.6073104e-7,0.00016819114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988741,0.00035972992,0.00007602352,0.00010832029,0.0003794928,0.00020237299],"domain_scores_gemma":[0.9895063,0.0031726297,0.0049929703,0.0003136285,0.000626151,0.0013883793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013640397,0.00016192872,0.00014831685,0.0010331342,0.0002808087,0.0013799585,0.00025068028,0.00022969762,0.0017483443],"category_scores_gemma":[0.0055424217,0.000054546505,0.0001500623,0.0007930502,0.00077216176,0.0008520436,0.0009758296,0.0003916938,0.00014414065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003449247,0.00030696543,0.9853976,0.000012886584,0.000039971805,0.000093735216,0.0004807876,0.00034070553,0.00019728379,0.001073772,0.00008089009,0.011940885],"study_design_scores_gemma":[0.0000024179415,0.00014013029,0.99604285,0.000012198806,0.000016404645,0.00005845256,0.0015078952,0.0010415403,0.0002211413,0.0005669835,0.0003856076,0.0000044291082],"about_ca_topic_score_codex":0.0016866366,"about_ca_topic_score_gemma":0.0033859564,"teacher_disagreement_score":0.0017483443,"about_ca_system_score_codex":0.0009916878,"about_ca_system_score_gemma":0.00083045254,"threshold_uncertainty_score":0.007213831},"labels":[],"label_agreement":null},{"id":"W2964166997","doi":"10.5430/ijfr.v10n4p143","title":"Prognostications With Applications to the British Pound","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pound (networking); Mean squared error; Forecast error; Econometrics; Parametric statistics; Nonparametric statistics; Exchange rate; Square root; Mean absolute error; Statistics; Mathematics; Computer science; Economics; Finance","score_opus":0.11990264703290766,"score_gpt":0.3430333187859662,"score_spread":0.22313067175305856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964166997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5967333,0.0041778027,0.35342857,0.008508947,0.0010734331,0.0001835734,0.0010006203,0.0033356363,0.031558156],"genre_scores_gemma":[0.9763548,0.0007285028,0.018418664,0.00007475583,0.000080044425,0.000015534008,0.0001712105,0.000045429737,0.004111028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960595,0.00015708379,0.000038346567,0.000061477,0.00009996448,0.00003714122],"domain_scores_gemma":[0.9980697,0.0012094501,0.00015617981,0.0001365626,0.0003658925,0.0000622021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021620183,0.0007378693,0.0007890956,0.0009810765,0.0006439212,0.0015403741,0.00072619616,0.0014348516,0.003893859],"category_scores_gemma":[0.01464607,0.0002860735,0.0003641852,0.0015639367,0.00054221903,0.0010090912,0.0010988137,0.0011575768,0.00047514949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024584803,0.000068636415,0.011490975,0.00010971102,0.000036614292,0.00035556,0.00023110952,0.8719526,0.0008140573,0.014880696,0.0026976531,0.097116426],"study_design_scores_gemma":[0.000019411897,0.000050454313,0.0021742005,0.00002726082,0.000010439327,0.00007040437,0.00009375239,0.9851429,0.00053872645,0.009938759,0.0019071982,0.000026582204],"about_ca_topic_score_codex":0.038034316,"about_ca_topic_score_gemma":0.019030303,"teacher_disagreement_score":0.038034316,"about_ca_system_score_codex":0.000858759,"about_ca_system_score_gemma":0.0008583427,"threshold_uncertainty_score":0.0756259},"labels":[],"label_agreement":null},{"id":"W2964188474","doi":"10.5430/ijfr.v10n4p164","title":"Corporate Governance Application, Audit Quality and Audit Report Lag: The Moderating Role of Law Compliance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Corporate governance; Accounting; Business; Compliance (psychology); Lag; Quality audit; Quality (philosophy); Audit evidence; Audit committee; Internal audit; Joint audit; Psychology; Social psychology; Finance; Computer science","score_opus":0.0687843055237304,"score_gpt":0.3498448941790704,"score_spread":0.28106058865534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964188474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620986,0.00043809405,0.0007145645,0.00050616625,0.000030447538,0.00003207817,0.00026040588,0.000017901863,0.0017905022],"genre_scores_gemma":[0.9988728,0.00006705014,0.00020701642,0.000062400584,0.000018121007,0.000013539766,0.0001890649,0.0000059489043,0.0005641061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9921731,0.003265712,0.00092104194,0.0009892718,0.0016204625,0.0010304418],"domain_scores_gemma":[0.88123566,0.061065037,0.044317573,0.0042498056,0.004133661,0.0049983202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070322766,0.0003052005,0.00046985014,0.00095526665,0.000500209,0.0018841899,0.0006542743,0.00073178957,0.0044743977],"category_scores_gemma":[0.034884628,0.00019284949,0.0007339603,0.0014078511,0.00087929826,0.0012925275,0.0016774918,0.0016730641,0.00039129183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014244819,0.00019278792,0.99348205,0.000033057826,0.0001505147,0.000069796464,0.0004297924,0.00017980748,0.00026001225,0.0003812444,0.00016558418,0.0045128902],"study_design_scores_gemma":[0.0000070694227,0.0002270986,0.99732566,0.000029517878,0.00008658454,0.000037683003,0.00057967135,0.0005149883,0.0002678145,0.00024461135,0.00066936895,0.000009882566],"about_ca_topic_score_codex":0.00726165,"about_ca_topic_score_gemma":0.008548286,"teacher_disagreement_score":0.00726165,"about_ca_system_score_codex":0.00076945603,"about_ca_system_score_gemma":0.0022993193,"threshold_uncertainty_score":0.037190676},"labels":[],"label_agreement":null},{"id":"W2966896955","doi":"10.5430/ijfr.v10n6p15","title":"Exploration of the Windfall and Market Entrepreneurship During the Great Recession","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Windfall gain; Economics; Entrepreneurship; Recession; Great recession; Profit (economics); Labour economics; Market economy; Business; Macroeconomics; Finance; Microeconomics","score_opus":0.06851815875590468,"score_gpt":0.30173506994354665,"score_spread":0.23321691118764198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966896955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939429,0.00030133582,0.00006142659,0.0012432142,0.000007049262,0.0000044327894,0.000027111948,7.872187e-7,0.0044117807],"genre_scores_gemma":[0.9989219,0.00035772249,0.000029438543,0.00004643021,0.000009455836,0.0000027663957,0.000015490226,8.303264e-7,0.00061609515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977356,0.00007951285,0.000006216404,0.000016868054,0.00003074593,0.00009307934],"domain_scores_gemma":[0.9991817,0.000263779,0.00027513222,0.00001682033,0.000051603103,0.00021096042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007018406,0.00007575573,0.00015570388,0.0005220648,0.00088190776,0.0016210729,0.00017239837,0.00043646188,0.0019978874],"category_scores_gemma":[0.0014371127,0.00008257382,0.00010437087,0.0006783123,0.0012159669,0.0012626203,0.0011565149,0.000659581,0.00011060611],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086019747,0.00079319807,0.7041653,0.00028443572,0.00007256985,0.006361269,0.14493413,0.0009032257,0.0017545058,0.056174714,0.008384723,0.075311825],"study_design_scores_gemma":[0.0000132224095,0.00018016832,0.7644773,0.00012213048,0.000015862126,0.00037542178,0.21397175,0.0010427488,0.00019006897,0.007182181,0.0124130035,0.000016064232],"about_ca_topic_score_codex":0.0041756122,"about_ca_topic_score_gemma":0.014331727,"teacher_disagreement_score":0.0041756122,"about_ca_system_score_codex":0.0006985748,"about_ca_system_score_gemma":0.00070468563,"threshold_uncertainty_score":0.008302569},"labels":[],"label_agreement":null},{"id":"W2966936990","doi":"10.5430/ijfr.v10n6p24","title":"An Agency Perspective on Firm Diversification, Efficiency and Performance: Evidence From Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversification (marketing strategy); Business; Principal–agent problem; Agency cost; Agency (philosophy); Monetary economics; Asset (computer security); Corporate group; Accounting; Corporate governance; Economics; Finance; Shareholder; Marketing","score_opus":0.05523171157291088,"score_gpt":0.3388471874149531,"score_spread":0.2836154758420422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966936990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967564,0.000642678,0.00011733003,0.00012604722,0.0000014383172,0.0000049531664,0.00009240598,0.0000012747222,0.0022575585],"genre_scores_gemma":[0.9993481,0.0003214964,0.000045252276,0.000012292639,0.0000031156724,0.0000011522483,0.00005153006,4.0500748e-7,0.00021668416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993414,0.00025068247,0.000063047984,0.00009350432,0.00012617589,0.00012523876],"domain_scores_gemma":[0.99094135,0.0025276495,0.0052257637,0.00026361315,0.00044635325,0.00059515133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011696924,0.00023886783,0.0002506375,0.001374061,0.00034390207,0.0012068839,0.00025779472,0.00030921443,0.0021206986],"category_scores_gemma":[0.002864119,0.0001349274,0.00037147466,0.0017730496,0.00075001694,0.0008263301,0.0010006536,0.00041922607,0.00024592783],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013214741,0.00007320597,0.98665315,0.000058367343,0.000117766824,0.00035696395,0.0008860885,0.00051252556,0.0002922219,0.0011899326,0.00015926817,0.009568346],"study_design_scores_gemma":[0.0000076002134,0.00012452515,0.9959098,0.00005299617,0.00006345298,0.00020101204,0.0014767976,0.00075907825,0.0003241827,0.00029111892,0.0007802844,0.000009215793],"about_ca_topic_score_codex":0.013578319,"about_ca_topic_score_gemma":0.0156138735,"teacher_disagreement_score":0.013578319,"about_ca_system_score_codex":0.00085889,"about_ca_system_score_gemma":0.00072891195,"threshold_uncertainty_score":0.02699858},"labels":[],"label_agreement":null},{"id":"W2967538235","doi":"10.5430/ijfr.v10n6p42","title":"Do Enforcement, Religiosity and Peer Influence Zakah Compliance Behavior?","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Utara Malaysia","keywords":"Islam; Poverty; Religiosity; Cornerstone; Enforcement; Business; Compliance (psychology); Sharia; Economic growth; Development economics; Political science; Psychology; Economics; Law; Social psychology; Geography","score_opus":0.06104012805224769,"score_gpt":0.3713397263275019,"score_spread":0.3102995982752542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967538235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984875,0.00007456639,0.000037003305,0.00020532832,0.000003736506,0.000006029797,0.000010272429,0.0000012482614,0.0011743824],"genre_scores_gemma":[0.9995648,0.00007703402,0.000036473033,0.000028473682,0.0000037170928,0.0000023070295,0.000012052951,6.417995e-7,0.00027452596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928445,0.00028880165,0.000044623765,0.00005833077,0.00014698616,0.00017672857],"domain_scores_gemma":[0.9960043,0.0010293066,0.0021005697,0.00019201412,0.00022134691,0.00045243648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010808798,0.0001368555,0.00020196936,0.0005614006,0.00084851525,0.0011925907,0.00022164894,0.0004309143,0.0038283407],"category_scores_gemma":[0.0053376635,0.00017738773,0.00018098511,0.00050403725,0.00089384714,0.0005228865,0.000538327,0.0006200567,0.00030949077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007567928,0.0003046997,0.96437144,0.00003744549,0.000060414914,0.00021867659,0.012419128,0.000066780485,0.000466265,0.0006352553,0.00032677414,0.021017492],"study_design_scores_gemma":[0.0000060364873,0.000060954157,0.98377246,0.000027664439,0.000017374452,0.00008130279,0.014629151,0.00021265558,0.000071138435,0.00012283359,0.0009911784,0.000007346597],"about_ca_topic_score_codex":0.006888476,"about_ca_topic_score_gemma":0.008898536,"teacher_disagreement_score":0.006888476,"about_ca_system_score_codex":0.00042983206,"about_ca_system_score_gemma":0.00069849787,"threshold_uncertainty_score":0.01369679},"labels":[],"label_agreement":null},{"id":"W2967885844","doi":"10.5430/ijfr.v10n6p67","title":"Ownership Hierarchy and Cash Holding: A Study From Pakistan","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash; Cash management; Panel data; Cash flow forecasting; Cash flow statement; Business; Operating cash flow; Cash conversion cycle; Stock exchange; Finance; Economics; Monetary economics; Econometrics","score_opus":0.0685697186703096,"score_gpt":0.3555774933215464,"score_spread":0.28700777465123684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967885844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991775,0.000078322955,0.00001341285,0.00008900175,0.000001546681,0.00000500435,0.000054602,2.0777121e-7,0.0005803164],"genre_scores_gemma":[0.999311,0.00030777036,0.000022315548,0.00006675969,0.000004921252,0.0000030774863,0.0000595865,4.379923e-7,0.00022415874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978715,0.000040242277,0.000017931397,0.000025967382,0.00004521158,0.00008361105],"domain_scores_gemma":[0.99903655,0.00023295464,0.00035954386,0.000030456686,0.00012417613,0.00021631664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045807706,0.00015664921,0.00018469403,0.0007346919,0.0015010858,0.0008254671,0.00020247781,0.00031314587,0.0030677188],"category_scores_gemma":[0.0010498996,0.00020986989,0.00018016588,0.0012699951,0.0005569081,0.00075841957,0.00048579928,0.00052113656,0.0002805403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050802944,0.00023720486,0.96520865,0.000066398374,0.0000146213015,0.0011108745,0.0252022,0.000031760763,0.000291718,0.00032928423,0.00047983343,0.006976644],"study_design_scores_gemma":[0.000008327854,0.00022150512,0.9434119,0.000067767345,0.000017944816,0.0009871498,0.052392073,0.00007937348,0.00009337269,0.00009539199,0.002614298,0.000010822123],"about_ca_topic_score_codex":0.04009826,"about_ca_topic_score_gemma":0.055121068,"teacher_disagreement_score":0.04009826,"about_ca_system_score_codex":0.0007788011,"about_ca_system_score_gemma":0.0013651294,"threshold_uncertainty_score":0.079729676},"labels":[],"label_agreement":null},{"id":"W2968001313","doi":"10.5430/ijfr.v10n6p54","title":"Customer Satisfaction as Intervening Between Use Automatic Teller Machine (ATM), Internet Banking and Quality of Loyalty (Case in Indonesia)","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Customer satisfaction; Service quality; Loyalty business model; Variables; Business; Variable (mathematics); Regression analysis; Marketing; The Internet; Loyalty; Quality (philosophy); Service (business); Statistics; Advertising; Computer science; Mathematics; World Wide Web","score_opus":0.12853593827512025,"score_gpt":0.4408095455827905,"score_spread":0.3122736073076703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968001313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99843925,0.00009024542,0.00006590945,0.000121252284,0.000004710392,0.0000049102114,0.000031728498,0.0000015312543,0.00124049],"genre_scores_gemma":[0.999689,0.00004012593,0.00003582009,0.000023536124,0.0000035868509,0.0000034998977,0.000027910071,5.3814233e-7,0.00017606397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990208,0.00036222677,0.000075790704,0.00008575208,0.0002658177,0.00018969094],"domain_scores_gemma":[0.99714786,0.0010865439,0.0008892134,0.00007147992,0.0003620297,0.00044284062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009387714,0.00014457715,0.00019782965,0.0006534679,0.00045131275,0.0011747283,0.00021303457,0.00039969746,0.0026306654],"category_scores_gemma":[0.002938484,0.00013450476,0.0003831913,0.00081802753,0.0004188985,0.00043454638,0.00045492564,0.0007753881,0.00020062218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010196737,0.00040329937,0.9891298,0.000032245058,0.000042138392,0.00029304536,0.0008837621,0.00008470201,0.00031642037,0.00026419133,0.0002968112,0.00815162],"study_design_scores_gemma":[0.0000041815924,0.00017228983,0.9963492,0.000016809894,0.000037102993,0.00027900666,0.0020295999,0.0005502086,0.00018883306,0.000085055064,0.00028231056,0.000005360206],"about_ca_topic_score_codex":0.0041443636,"about_ca_topic_score_gemma":0.004603459,"teacher_disagreement_score":0.0041443636,"about_ca_system_score_codex":0.00046468322,"about_ca_system_score_gemma":0.00057840586,"threshold_uncertainty_score":0.008800387},"labels":[],"label_agreement":null},{"id":"W2968262899","doi":"10.5430/ijfr.v10n6p78","title":"Impact of Capital Structure on Firm’s Performance: Focusing on Non-financial Listed Egyptian Firms","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Debt ratio; Business; Debt; Return on assets; Capital adequacy ratio; Finance; Economics; Monetary economics; Profitability index","score_opus":0.02918412824669381,"score_gpt":0.32522811916084143,"score_spread":0.2960439909141476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968262899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848026,0.00021683217,0.000029658548,0.00009938383,0.000001863285,0.0000029822015,0.00017869004,0.0000015038471,0.0009888724],"genre_scores_gemma":[0.9993006,0.000088241875,0.000018126728,0.000009512171,0.0000045583824,8.6745484e-7,0.00024538508,3.7116988e-7,0.0003323326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995153,0.00006347956,0.000046254478,0.00006428146,0.00015659333,0.00015411706],"domain_scores_gemma":[0.9967759,0.00056924927,0.0017368706,0.00008809561,0.0005020889,0.0003278272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005820514,0.00020247877,0.00017637428,0.0012757229,0.00025632026,0.0013065919,0.00023002722,0.00029669702,0.0013161604],"category_scores_gemma":[0.0017203047,0.0000634927,0.00023436142,0.0015428233,0.00038095494,0.0006681959,0.0005769138,0.0004239464,0.000211744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005010507,0.0000737547,0.9914507,0.000024009125,0.0000574618,0.00036143904,0.00019434739,0.0006800672,0.000325953,0.00020582808,0.0002368407,0.0063395496],"study_design_scores_gemma":[0.0000013507996,0.000074624644,0.99790096,0.000010578415,0.000018417773,0.00004974184,0.00060291326,0.00042402145,0.00036604455,0.000042323263,0.00050535693,0.0000037178445],"about_ca_topic_score_codex":0.016190974,"about_ca_topic_score_gemma":0.026623977,"teacher_disagreement_score":0.016190974,"about_ca_system_score_codex":0.0012823213,"about_ca_system_score_gemma":0.00079288095,"threshold_uncertainty_score":0.032193482},"labels":[],"label_agreement":null},{"id":"W2968564081","doi":"10.5430/ijfr.v10n6p1","title":"The Interaction of Market Risk and Idiosyncratic Risk on Equity Mutual Fund Returns","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Systematic risk; Private equity fund; Diversification (marketing strategy); Business; Fund of funds; Closed-end fund; Open-end fund; Equity (law); Financial economics; Target date fund; Economics; Finance; Institutional investor; Private equity","score_opus":0.09254014168158907,"score_gpt":0.3600392883106955,"score_spread":0.2674991466291064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968564081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780065,0.00019443255,0.0005842126,0.000112374175,0.0000026979872,0.0000050769663,0.000045036668,0.0000075301086,0.0012480365],"genre_scores_gemma":[0.9995746,0.00006185227,0.00010465703,0.000005513563,0.0000045964284,0.0000017907124,0.00001983852,0.000001214118,0.0002257494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986265,0.00052492507,0.00014198323,0.00014534777,0.00035247483,0.00020880875],"domain_scores_gemma":[0.98014957,0.010544675,0.007334409,0.000620502,0.00071824214,0.0006325831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016913901,0.00032322563,0.00034120004,0.00096967525,0.00020983667,0.0014639477,0.00023248701,0.00047036077,0.001450329],"category_scores_gemma":[0.012534109,0.00016942466,0.0006096727,0.00066004286,0.00047391173,0.0012267202,0.00094931753,0.000670904,0.00020615084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014720358,0.00007586271,0.9822123,0.000031378237,0.00018959193,0.00034201128,0.00026224117,0.0037186488,0.00056782766,0.0017628216,0.000083501756,0.010606602],"study_design_scores_gemma":[0.0000059993818,0.000148578,0.9860141,0.000020135552,0.00012876958,0.00023838124,0.0003667606,0.010473536,0.00067408883,0.0015437081,0.0003648939,0.000021135635],"about_ca_topic_score_codex":0.0027756062,"about_ca_topic_score_gemma":0.0034642038,"teacher_disagreement_score":0.0027756062,"about_ca_system_score_codex":0.00062636816,"about_ca_system_score_gemma":0.0005451784,"threshold_uncertainty_score":0.008944988},"labels":[],"label_agreement":null},{"id":"W2968600518","doi":"10.5430/ijfr.v10n6p88","title":"Investigating the Relationships Between Organizational Change, Organizational Climate, and Organizational Performance","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Employee Performance and Management","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organisation climate; Organizational behavior and human resources; Organizational commitment; Organizational learning; Organizational performance; Organization development; Organizational change; Organizational effectiveness; Climate change; Organizational studies; Organizational engineering; Work (physics); Business; Psychology; Knowledge management; Environmental resource management; Social psychology; Public relations; Computer science; Political science; Marketing; Environmental science; Engineering","score_opus":0.11568121110350635,"score_gpt":0.38091322318176807,"score_spread":0.26523201207826175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968600518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978497,0.0002784734,0.00031634263,0.00011975267,0.000009837644,0.000011095054,0.000041813793,0.0000035747416,0.0013693746],"genre_scores_gemma":[0.9993274,0.00015421408,0.00021479017,0.000027683307,0.000018621426,0.000011710709,0.00006965519,0.0000014013311,0.00017458251],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828666,0.0007973427,0.00007798425,0.00018942631,0.0003999156,0.0002487],"domain_scores_gemma":[0.98767674,0.0062932535,0.0035981352,0.00035632105,0.00089391606,0.0011817204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021099036,0.0003283275,0.00027185067,0.0008035069,0.00040980376,0.0009347479,0.0002526081,0.00045583575,0.001378658],"category_scores_gemma":[0.0074217687,0.00010910125,0.00038039134,0.0008419906,0.000462748,0.00065948925,0.00073026115,0.000680722,0.00021194678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006829656,0.0005517959,0.9851961,0.000059582846,0.00016723639,0.00006135033,0.0006498211,0.0003570499,0.00062086456,0.0002465955,0.000088218614,0.011933122],"study_design_scores_gemma":[0.0000015297697,0.00018769194,0.9984648,0.000011162173,0.000027615684,0.000024564195,0.00045948738,0.0003547717,0.00016046214,0.00010053978,0.00020291396,0.000004477886],"about_ca_topic_score_codex":0.0017520407,"about_ca_topic_score_gemma":0.0027628767,"teacher_disagreement_score":0.0021099036,"about_ca_system_score_codex":0.00037701864,"about_ca_system_score_gemma":0.0007458381,"threshold_uncertainty_score":0.011158347},"labels":[],"label_agreement":null},{"id":"W2969227757","doi":"10.5430/ijfr.v10n6p95","title":"Secondary Equity Offer Announcements and Share Returns at Nairobi Securities Exchange, Kenya","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Equity (law); Shareholder; Capital market; Market capitalization; Financial system; Equity capital markets; Finance; Monetary economics; Economics; Private equity; Corporate governance; Stock market","score_opus":0.05939106615084218,"score_gpt":0.33487176073947245,"score_spread":0.2754806945886303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969227757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969729,0.00014149866,0.000024977426,0.00016587373,0.0000042559227,0.00001433287,0.00021368332,0.0000024648732,0.0024598928],"genre_scores_gemma":[0.99858415,0.000121030025,0.000023944629,0.0000147970595,0.000006053787,0.0000036444703,0.00018542024,6.2047013e-7,0.0010603319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996462,0.00006614607,0.00002890772,0.000039911716,0.00010404741,0.00011471014],"domain_scores_gemma":[0.9954123,0.0007182773,0.0030480735,0.000081674625,0.0002889912,0.00045074677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060145947,0.00019463657,0.00015455161,0.0006268914,0.0006973825,0.0011343765,0.00021038137,0.0004885871,0.0039932416],"category_scores_gemma":[0.0034547315,0.0001354735,0.000115426075,0.0005765719,0.00029237795,0.00060104945,0.00043745243,0.00053538947,0.00047613043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028622703,0.0002540958,0.9879224,0.00004506727,0.000032156226,0.00088760036,0.0009146315,0.00026147976,0.0014139892,0.00056840834,0.0010265522,0.006387393],"study_design_scores_gemma":[0.0000075691164,0.000065322616,0.99706525,0.000013019709,0.000012025058,0.00007441027,0.0009723574,0.00042906697,0.0003788361,0.00004534987,0.00093017553,0.000006560083],"about_ca_topic_score_codex":0.045379415,"about_ca_topic_score_gemma":0.08479791,"teacher_disagreement_score":0.045379415,"about_ca_system_score_codex":0.0010531236,"about_ca_system_score_gemma":0.00078946486,"threshold_uncertainty_score":0.090230525},"labels":[],"label_agreement":null},{"id":"W2969387834","doi":"10.5430/ijfr.v10n6p108","title":"Discourses of Sustainable Finance Implementation in Islamic Bank (Cases Studies in Bank Mandiri Syariah 2018)","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Sharia; Islam; Finance; Accounting; Financial services; Commit","score_opus":0.05047795723128428,"score_gpt":0.40563783149809585,"score_spread":0.35515987426681156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969387834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313745,0.0015018308,0.0006795358,0.0109996125,0.000107338834,0.00006412612,0.000047897887,0.000010113787,0.05521502],"genre_scores_gemma":[0.9960199,0.00053290476,0.00026237295,0.00034739778,0.000016515405,0.000027733297,0.000012632332,0.0000030157928,0.0027775143],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9969144,0.0020417734,0.000098164186,0.00016588581,0.0003424418,0.00043722312],"domain_scores_gemma":[0.9976829,0.0014292938,0.00045053542,0.00007869938,0.00016984512,0.00018866363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038055335,0.00030141533,0.0002389936,0.0012517137,0.013196499,0.00517244,0.0007910154,0.002576892,0.003420756],"category_scores_gemma":[0.0042070397,0.00025758072,0.00018797281,0.0017641304,0.012771758,0.004205931,0.004485309,0.0027300827,0.0002193199],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003632087,0.00009788527,0.005868624,0.00013843575,0.000004018642,0.004050044,0.8828285,0.00013495536,0.00072060013,0.09212135,0.00400129,0.009998028],"study_design_scores_gemma":[0.000005767624,0.000022426959,0.008717266,0.0004144373,0.0000060121088,0.0006190195,0.9356072,0.00021010444,0.0004880967,0.0035679028,0.05032797,0.0000138299665],"about_ca_topic_score_codex":0.015220478,"about_ca_topic_score_gemma":0.021218274,"teacher_disagreement_score":0.015220478,"about_ca_system_score_codex":0.009613256,"about_ca_system_score_gemma":0.0046841963,"threshold_uncertainty_score":0.069749415},"labels":[],"label_agreement":null},{"id":"W2970194614","doi":"10.5430/ijfr.v10n6p124","title":"The Effect of Public Share Ownership on Tax Evasion: Study on Companies Listed in Indonesia Stock Exchange Between 2008-2011","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Tax avoidance; Accounting; Stock exchange; Corporate tax; Incentive; Audit; Public economics; Finance; Double taxation; Economics; Market economy","score_opus":0.13931186324212477,"score_gpt":0.3651125148280096,"score_spread":0.22580065158588483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970194614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99921954,0.00010053426,0.000007697741,0.000076305754,0.0000026577907,0.000002400569,0.0000732174,6.846137e-7,0.0005169688],"genre_scores_gemma":[0.99939585,0.000095976575,0.000008592071,0.00001897807,0.0000049573346,0.000001878983,0.00010588842,6.0971865e-7,0.00036716746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99956506,0.00008395438,0.0000457993,0.000055019784,0.00012884679,0.00012144181],"domain_scores_gemma":[0.9958255,0.0005568582,0.0027948823,0.00013598317,0.00027959683,0.0004073025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064597576,0.00013896158,0.0001879495,0.0005498855,0.0004200413,0.0007825747,0.00036492723,0.00033973955,0.0020021477],"category_scores_gemma":[0.0022007914,0.00012684391,0.00034889203,0.0007302525,0.00036767224,0.0006407837,0.00057129253,0.0009992312,0.00031755722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005092323,0.00015683917,0.99390715,0.000016477448,0.00002486007,0.0001983711,0.001168614,0.000049885544,0.00008716529,0.00006277119,0.00030102165,0.0039760033],"study_design_scores_gemma":[0.0000011497439,0.00004942008,0.9976337,0.000009010129,0.000008547118,0.00007495832,0.0018022804,0.00006890242,0.00004642923,0.00001060395,0.00029288707,0.0000021325227],"about_ca_topic_score_codex":0.016233874,"about_ca_topic_score_gemma":0.028895,"teacher_disagreement_score":0.016233874,"about_ca_system_score_codex":0.0007707025,"about_ca_system_score_gemma":0.0006388863,"threshold_uncertainty_score":0.032278717},"labels":[],"label_agreement":null},{"id":"W2971091978","doi":"10.5430/ijfr.v10n6p118","title":"Islamic Organizational Culture, Islamic Corporate Social Responsibility, and Corporate Performance: Evidence From Sharia Bank in Indonesia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Islam; Corporate social responsibility; Sharia; Business; Accounting; Nonprobability sampling; Organizational culture; Population; Public relations; Political science; Sociology; Geography","score_opus":0.06326345910731762,"score_gpt":0.3174756912706822,"score_spread":0.2542122321633646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971091978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99878615,0.0001083655,0.000013818736,0.00013088388,0.0000028179186,0.0000028307231,0.000019459016,3.094779e-7,0.00093538815],"genre_scores_gemma":[0.99954,0.00021622636,0.000029080109,0.000045649675,0.000004601352,0.0000032159703,0.000024074072,4.1881466e-7,0.00013678045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943787,0.00021053491,0.00005362057,0.00005272657,0.00014679228,0.00009840498],"domain_scores_gemma":[0.9953687,0.0011913882,0.0020881814,0.0001380099,0.00055204274,0.0006618198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012016594,0.00016621967,0.00021298927,0.0006554314,0.0008946314,0.0012586106,0.0003049585,0.00030880168,0.0014170213],"category_scores_gemma":[0.002948197,0.00017867377,0.00015489534,0.0010788409,0.000988312,0.0005763628,0.0006753722,0.00077747006,0.00023410346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056355915,0.00034763475,0.98251706,0.000049388505,0.000025565401,0.00027535087,0.008007362,0.000046240715,0.00016122367,0.0002195992,0.00035059606,0.007943571],"study_design_scores_gemma":[0.000004171421,0.00006460265,0.9834727,0.00006190285,0.000017453907,0.000103977385,0.015516836,0.0001360991,0.0000726878,0.000068387235,0.0004765744,0.000004701071],"about_ca_topic_score_codex":0.010859804,"about_ca_topic_score_gemma":0.02475227,"teacher_disagreement_score":0.010859804,"about_ca_system_score_codex":0.00061875733,"about_ca_system_score_gemma":0.0010981587,"threshold_uncertainty_score":0.021593213},"labels":[],"label_agreement":null},{"id":"W2971737747","doi":"10.5430/ijfr.v10n6p133","title":"Efficiency of Working Capital Management and Firm Value: Evidence From Chinese Listed Firms","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Working capital; Accounts receivable; Profitability index; Panel data; Enterprise value; Value (mathematics); Cash conversion cycle; Business; Market value added; Tobin's q; Investment (military); Economics; Finance; Cash flow; Monetary economics; Econometrics; Operating cash flow","score_opus":0.04175227005355466,"score_gpt":0.3104426380996465,"score_spread":0.26869036804609187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971737747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993703,0.00012504283,0.00003184288,0.000034837412,5.979879e-7,0.0000022628299,0.000073142815,8.239438e-7,0.00036119047],"genre_scores_gemma":[0.9996402,0.00008912715,0.000014978143,0.000006623851,0.0000028323605,0.0000012302877,0.00015410429,2.4756582e-7,0.00009050739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959594,0.00007092293,0.00004881798,0.00006445251,0.00012418596,0.000095687305],"domain_scores_gemma":[0.99372345,0.001875544,0.0030849252,0.00033864283,0.00048369623,0.00049373094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011366312,0.00020488868,0.00024505082,0.0017912426,0.00045876575,0.00093060423,0.00042524847,0.00033164013,0.0009486661],"category_scores_gemma":[0.0030436057,0.00013941509,0.00025278493,0.002281037,0.0006335588,0.0006563769,0.0006197882,0.00024751708,0.00010979885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033554865,0.000033826007,0.99486864,0.000015387552,0.00004448071,0.000117961616,0.00036173585,0.0003314211,0.00019349882,0.00014482113,0.00007474408,0.0037798744],"study_design_scores_gemma":[0.000002451318,0.000023628487,0.9988883,0.000004400161,0.0000166817,0.000023324183,0.00025669072,0.00047404892,0.00012612736,0.000055964083,0.00012480827,0.0000035846308],"about_ca_topic_score_codex":0.033381186,"about_ca_topic_score_gemma":0.03577234,"teacher_disagreement_score":0.033381186,"about_ca_system_score_codex":0.0011149012,"about_ca_system_score_gemma":0.0006347437,"threshold_uncertainty_score":0.066373765},"labels":[],"label_agreement":null},{"id":"W2971755387","doi":"10.5430/ijfr.v10n6p159","title":"Factors Influencing Green Performance in Manufacturing Industries","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Business; Manufacturing; Industrial organization; Corporate governance; Relation (database); Corporate social responsibility; Environmental economics; Marketing; Economics; Computer science; Data mining; Public relations","score_opus":0.04438510336378376,"score_gpt":0.3063398636386156,"score_spread":0.26195476027483183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971755387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99413437,0.000116073636,0.00023080785,0.00023384657,0.000003878834,0.000012531996,0.00004618504,0.00000520972,0.005217191],"genre_scores_gemma":[0.9994344,0.00006684783,0.00010052144,0.000018550034,0.0000031217176,0.000002770123,0.000030558473,0.0000013173584,0.0003419788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866307,0.00029702578,0.00010704569,0.00008154456,0.00051653036,0.00033475607],"domain_scores_gemma":[0.9940257,0.0018689882,0.0021176948,0.00018128369,0.0009551591,0.0008511279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012096824,0.00019507857,0.00016758898,0.0012922199,0.0009501998,0.0016694695,0.00017399699,0.00040735636,0.003656124],"category_scores_gemma":[0.0046591726,0.00009188912,0.00025273097,0.0018617697,0.00065897877,0.0005278707,0.0010645022,0.00041420475,0.00045736475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005872027,0.00022627489,0.97500235,0.00008564298,0.000040872303,0.0003050919,0.0016861362,0.0010705001,0.00141438,0.00089638453,0.00036362652,0.018849937],"study_design_scores_gemma":[0.0000013362077,0.000093045644,0.9922462,0.00003400054,0.000009538992,0.00007147487,0.004749122,0.00045489744,0.00056108675,0.00039611282,0.0013734807,0.00000974285],"about_ca_topic_score_codex":0.0036048822,"about_ca_topic_score_gemma":0.0059714895,"teacher_disagreement_score":0.003656124,"about_ca_system_score_codex":0.0011228534,"about_ca_system_score_gemma":0.0012561866,"threshold_uncertainty_score":0.012230933},"labels":[],"label_agreement":null},{"id":"W2971765837","doi":"10.5430/ijfr.v10n6p145","title":"Cognitive Modeling of Sustainability of the Russian Financial Market","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial market; Market depth; Indirect finance; Market microstructure; Financial market participants; Capital market; Market liquidity; Economics; Financial system; Finance; Financial regulation; Mark to model; Business; Order (exchange); Stock market","score_opus":0.05243796975682566,"score_gpt":0.40354053114426225,"score_spread":0.35110256138743656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971765837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6878448,0.00050111086,0.18175606,0.0019258886,0.00007853006,0.00013879032,0.00038615585,0.0002753044,0.12709321],"genre_scores_gemma":[0.98995423,0.00011869426,0.008353287,0.000034996097,0.000008636802,0.000029628152,0.0000952796,0.0000050878507,0.0014001209],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998161,0.00007173458,0.000008988454,0.000045846777,0.000031514235,0.000025944666],"domain_scores_gemma":[0.99968517,0.00010992225,0.0000629085,0.00003869162,0.00007075677,0.000032468266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042385465,0.0002923434,0.0001684692,0.000546315,0.00045266785,0.0017619402,0.0003386921,0.0003663829,0.0034078637],"category_scores_gemma":[0.0014422011,0.00009701738,0.0005506394,0.00023494198,0.00073589076,0.0015359113,0.00068634603,0.00033999994,0.00020398713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033215122,0.00029459485,0.049266513,0.00046492607,0.0002764392,0.0012827598,0.01895481,0.13365126,0.015965,0.607335,0.0061720093,0.1660045],"study_design_scores_gemma":[0.000055346267,0.00022920688,0.037431654,0.00013925254,0.00018063239,0.0005708602,0.0059772637,0.6179991,0.002705454,0.31734338,0.017302174,0.00006562599],"about_ca_topic_score_codex":0.004629094,"about_ca_topic_score_gemma":0.002170522,"teacher_disagreement_score":0.004629094,"about_ca_system_score_codex":0.00089754205,"about_ca_system_score_gemma":0.00071293133,"threshold_uncertainty_score":0.011400461},"labels":[],"label_agreement":null},{"id":"W2972573181","doi":"10.5430/ijfr.v10n6p188","title":"Determinants of the Solvency of Insurance Companies in Palestine","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Palestine Technical University Kadoorie","keywords":"Solvency; Palestine; Leverage (statistics); Solvency ratio; Business; Panel data; Market liquidity; Actuarial science; Finance; Economics; Econometrics; Statistics","score_opus":0.06532256508951703,"score_gpt":0.33343994949832156,"score_spread":0.2681173844088045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972573181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987237,0.00025453971,0.000020923164,0.00017333882,0.00000200756,0.0000030579886,0.000042368378,6.7887055e-7,0.0007792983],"genre_scores_gemma":[0.9996588,0.00013756467,0.000018189967,0.000012521816,0.000003967327,9.977831e-7,0.000034022833,2.386572e-7,0.00013367627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967647,0.000056859757,0.000038380484,0.000028562838,0.00006651035,0.00013330203],"domain_scores_gemma":[0.99809796,0.00029738474,0.0011645871,0.000042956275,0.00011878617,0.0002783239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057342066,0.00022916995,0.00022969475,0.0011322384,0.0006597526,0.0013729414,0.00026414866,0.0004309065,0.0016246538],"category_scores_gemma":[0.0022381395,0.00019076896,0.00019885314,0.0009215202,0.00068414264,0.00050599984,0.0009888522,0.00096175104,0.00012502239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003488215,0.00006461351,0.99368685,0.000024278412,0.00003454474,0.0005282331,0.0010094818,0.0003668496,0.00039352747,0.00051725126,0.00012319275,0.003216263],"study_design_scores_gemma":[0.0000023756754,0.00003137455,0.9963827,0.000031254556,0.0000069674325,0.00018570265,0.0022597585,0.0002609142,0.00009427759,0.00015741361,0.00058325415,0.0000040400623],"about_ca_topic_score_codex":0.013890715,"about_ca_topic_score_gemma":0.019052895,"teacher_disagreement_score":0.013890715,"about_ca_system_score_codex":0.00085790356,"about_ca_system_score_gemma":0.00087200763,"threshold_uncertainty_score":0.02761972},"labels":[],"label_agreement":null},{"id":"W2972599099","doi":"10.5430/ijfr.v10n6p174","title":"The Role of Small and Medium Enterprises (SMEs) in Employment Generation and Economic Growth: A Study of Marble Industry in Emerging Economy","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Generalizability theory; Business; Small and medium-sized enterprises; Unemployment; Scale (ratio); Poverty; Foreign direct investment; Labour economics; Economic growth; Economics; Finance","score_opus":0.02693259174495014,"score_gpt":0.30002360183814186,"score_spread":0.2730910100931917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972599099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966779,0.00037223133,0.000027069302,0.00056777505,0.000005176021,0.0000045588145,0.000007815156,3.555048e-7,0.0023370264],"genre_scores_gemma":[0.99796295,0.0007473045,0.00003582207,0.00010901608,0.0000072477737,0.0000049739874,0.000008105672,6.3596826e-7,0.0011239722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996649,0.00014505847,0.000013013693,0.000020181606,0.00004623679,0.00011059213],"domain_scores_gemma":[0.99892277,0.0003917566,0.00022933133,0.000013237606,0.00008331057,0.00035949124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008054183,0.00013018405,0.00015055506,0.00063474255,0.0018720226,0.0014211796,0.00027119546,0.00048061574,0.0025052333],"category_scores_gemma":[0.0010550508,0.000118097116,0.00013041764,0.00074090686,0.000695709,0.0014204538,0.0009079371,0.0007156514,0.00029462128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001044114,0.0010025646,0.6705523,0.0003050538,0.000017070868,0.007340983,0.2726752,0.000119433666,0.0012105427,0.0063844924,0.0021923422,0.038095646],"study_design_scores_gemma":[0.0000052750183,0.00026105568,0.48180437,0.00023011952,0.00001513657,0.0014675836,0.5024009,0.00022144015,0.0001643121,0.00079695537,0.012618893,0.000013884681],"about_ca_topic_score_codex":0.0028809346,"about_ca_topic_score_gemma":0.010499336,"teacher_disagreement_score":0.0028809346,"about_ca_system_score_codex":0.0005216634,"about_ca_system_score_gemma":0.0011112515,"threshold_uncertainty_score":0.00838089},"labels":[],"label_agreement":null},{"id":"W2972621142","doi":"10.5430/ijfr.v10n6p241","title":"Did Inter-Regional Trade Agreements Bring Mutual Benefits? An Empirical Scheme of Indonesian Commodity Exports in Asean-China Free Trade Area","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Indonesian; Commodity; International trade; International economics; Economics; International free trade agreement; Comparative advantage; Stock (firearms); Business; Free trade","score_opus":0.19792543623026557,"score_gpt":0.35029129533502873,"score_spread":0.15236585910476316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972621142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964122,0.00006340373,0.00006059496,0.000099029974,0.0000012722894,0.0000036519116,0.000075800424,0.0000018237953,0.0032821367],"genre_scores_gemma":[0.9994723,0.000046958816,0.000027976954,0.000008624656,0.0000018404945,0.0000022568474,0.00007721348,8.017355e-7,0.00036214315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995734,0.000163255,0.000035619334,0.00006362945,0.00007595162,0.00008821034],"domain_scores_gemma":[0.99471235,0.002304199,0.0020358837,0.00022503575,0.00031689822,0.0004056589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010637748,0.00012070694,0.00016542153,0.00085905776,0.0005554328,0.0014902701,0.00026741013,0.00026146264,0.0036247668],"category_scores_gemma":[0.0038917067,0.00008429952,0.00021666984,0.0014306545,0.00085830013,0.0014048638,0.0010076257,0.00070400804,0.00029663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011014111,0.00012103385,0.98540896,0.00002490197,0.000045573943,0.00044879518,0.001457117,0.0013915726,0.00020378576,0.0030277285,0.00045808658,0.0073023667],"study_design_scores_gemma":[0.000008000425,0.00006127004,0.98587996,0.00003501057,0.000042493324,0.0001882576,0.007287177,0.0034917057,0.00021216007,0.0007337386,0.0020526736,0.0000075188013],"about_ca_topic_score_codex":0.008885823,"about_ca_topic_score_gemma":0.009417378,"teacher_disagreement_score":0.008885823,"about_ca_system_score_codex":0.00070726004,"about_ca_system_score_gemma":0.000550151,"threshold_uncertainty_score":0.017668247},"labels":[],"label_agreement":null},{"id":"W2972630410","doi":"10.5430/ijfr.v10n6p196","title":"Factors Influencing Internal Shariah Audit Effectiveness: Evidence From Bahrain","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internal audit; Accounting; Audit; Business; Corporate governance; Islam; Structural equation modeling; Finance; Computer science","score_opus":0.06613596291403613,"score_gpt":0.3545213368235196,"score_spread":0.2883853739094835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972630410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968913,0.001133856,0.000043284377,0.00046907266,0.000009886876,0.0000056058097,0.000029553066,0.0000023072728,0.0014150802],"genre_scores_gemma":[0.9991748,0.00060038187,0.00003063681,0.000058134676,0.0000070354063,0.0000016737732,0.000016844131,7.492119e-7,0.000109647684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989114,0.00033719811,0.00009077659,0.000083904764,0.0003427468,0.00023411983],"domain_scores_gemma":[0.9910419,0.0031636213,0.004026419,0.00026587542,0.0009473813,0.00055483484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022710552,0.00021744179,0.00022714253,0.00087037036,0.0007791856,0.0014332066,0.00034766254,0.00034210636,0.0024691068],"category_scores_gemma":[0.0065711904,0.00019131617,0.00020233248,0.0014567219,0.0010085602,0.0006151329,0.00053486234,0.0003871896,0.00014182943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012031011,0.00024439255,0.9522454,0.00030432842,0.00006227361,0.0003992577,0.010110338,0.00009323135,0.00034587362,0.00094287214,0.00066873705,0.03446301],"study_design_scores_gemma":[0.000007923495,0.00008030756,0.98298115,0.0001810655,0.00004635384,0.00019011147,0.013968772,0.00014360511,0.00015472971,0.00012472275,0.002113047,0.000008255655],"about_ca_topic_score_codex":0.02630977,"about_ca_topic_score_gemma":0.04520038,"teacher_disagreement_score":0.02630977,"about_ca_system_score_codex":0.0011621133,"about_ca_system_score_gemma":0.002829743,"threshold_uncertainty_score":0.05231321},"labels":[],"label_agreement":null},{"id":"W2972926765","doi":"10.5430/ijfr.v10n6p232","title":"Role of Advertising Expenditure as an Influential Non-traditional Regressor in Russia’s Money Demand Specification","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Malaysia Sarawak; Ministry of Education, India","keywords":"Economics; Distributed lag; Consumption (sociology); Demand curve; Monetary economics; Demand for money; Demand shock; Term (time); Monetary policy; Database transaction; Estimation; Autoregressive model; Econometrics; Microeconomics","score_opus":0.09011644131179232,"score_gpt":0.33092149640546653,"score_spread":0.24080505509367423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972926765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865588,0.00060229725,0.0074345567,0.00064838916,0.00006141171,0.000025888095,0.0006796842,0.00005391263,0.0039350633],"genre_scores_gemma":[0.99699545,0.00017246226,0.00049955794,0.000026459853,0.000025409114,0.000011576741,0.0005630942,0.000008866847,0.0016970818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991179,0.00038605658,0.00007712165,0.00016991998,0.00009512215,0.00015370696],"domain_scores_gemma":[0.99540246,0.0034229113,0.0005785058,0.00022394245,0.00024709903,0.00012517259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018487764,0.00056454155,0.00054908416,0.00094953104,0.00033782417,0.0021093143,0.00045449007,0.00066734664,0.0051116627],"category_scores_gemma":[0.004321523,0.00025305356,0.001145815,0.00068465894,0.00055795745,0.0007103,0.0008100858,0.0011436238,0.000758188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035234066,0.0001989125,0.9183805,0.0001347124,0.00050881994,0.0010361065,0.00063299446,0.041663166,0.0019863793,0.012149965,0.0013988519,0.021557173],"study_design_scores_gemma":[0.000050001196,0.00041306732,0.6630188,0.00021748732,0.00075999997,0.00049853895,0.0024232462,0.30958107,0.0035986048,0.009122261,0.010220487,0.000096553595],"about_ca_topic_score_codex":0.012728693,"about_ca_topic_score_gemma":0.006993615,"teacher_disagreement_score":0.012728693,"about_ca_system_score_codex":0.00068215956,"about_ca_system_score_gemma":0.0009453515,"threshold_uncertainty_score":0.025309205},"labels":[],"label_agreement":null},{"id":"W2973067365","doi":"10.5430/ijfr.v10n6p211","title":"Whistleblowing System and Fraud Early Warning System on Village Fund Fraud: The Indonesian Experience","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy and Behavior","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direcció General de Recerca, Generalitat de Catalunya; Direktorat Riset dan Pengabdian Masyarakat","keywords":"Indonesian; Business; Government (linguistics); Warning system; Qualitative research; Population; Public relations; Political science; Sociology","score_opus":0.0430987527830202,"score_gpt":0.32737479656022017,"score_spread":0.28427604377719995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973067365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936941,0.00016020522,0.00016714884,0.0010903425,0.000013198617,0.000015162437,0.000009237612,0.0000059545882,0.004844647],"genre_scores_gemma":[0.99781406,0.00020460655,0.00013580301,0.00020079993,0.0000072218827,0.0000061738233,0.000006007879,0.000004989949,0.001620294],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9961887,0.0027113569,0.000098662604,0.00013673877,0.00029043027,0.0005741111],"domain_scores_gemma":[0.9967698,0.0012804769,0.0007024512,0.000183643,0.00022583157,0.0008376856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028871587,0.0002481515,0.00038608845,0.0006359539,0.006392172,0.0025854537,0.00091485074,0.0009678787,0.0029155186],"category_scores_gemma":[0.0061903372,0.00032784799,0.00015440489,0.0007277625,0.0046665617,0.002812716,0.0035114717,0.0020238187,0.00030722888],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006954351,0.0005337914,0.040786162,0.00012988361,0.0000093711005,0.004430996,0.9223358,0.00013426204,0.00094301504,0.0038997785,0.0021476024,0.024579838],"study_design_scores_gemma":[0.000015001774,0.00028317425,0.032474782,0.00021003903,0.000014618318,0.002736321,0.9283276,0.00061288197,0.00063288235,0.00065183453,0.034006756,0.000034039793],"about_ca_topic_score_codex":0.008064394,"about_ca_topic_score_gemma":0.011050342,"teacher_disagreement_score":0.008064394,"about_ca_system_score_codex":0.0027015023,"about_ca_system_score_gemma":0.0023927484,"threshold_uncertainty_score":0.019600868},"labels":[],"label_agreement":null},{"id":"W2973152369","doi":"10.5430/ijfr.v10n6p218","title":"Human Capital, Self-Efficacy and Firm Performance: A Study of Bumiputera SMEs in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Human capital; Business; Mediation; Small and medium-sized enterprises; Self-efficacy; Structural equation modeling; Malay; Psychology; Economics; Economic growth; Computer science; Finance; Social psychology; Political science","score_opus":0.037667514186974387,"score_gpt":0.3407023424605181,"score_spread":0.3030348282735437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973152369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997446,0.000038631162,0.000006536003,0.00002976628,5.3887635e-7,0.0000024627586,0.0000065642257,1.2649316e-7,0.00017062092],"genre_scores_gemma":[0.9996878,0.000084568295,0.000021795686,0.000017030456,9.109084e-7,0.000004013674,0.0000090591275,1.7206703e-7,0.0001745882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997321,0.000100843994,0.00002320153,0.000025258,0.000041682295,0.0000768468],"domain_scores_gemma":[0.9988637,0.00037775704,0.00028122228,0.000035059395,0.00009540134,0.0003468246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009286427,0.0001778806,0.00020730175,0.00052973186,0.00086574507,0.0008501982,0.0002235811,0.00037031173,0.0011100591],"category_scores_gemma":[0.0013250774,0.00018739728,0.0002163377,0.00057575887,0.00048281287,0.00066338497,0.0005192549,0.0006052566,0.00019080025],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050277522,0.00047636926,0.9689113,0.000049636874,0.00002051571,0.0004958935,0.023524716,0.000047156373,0.00038658822,0.0001592747,0.00011466822,0.005763489],"study_design_scores_gemma":[0.000003864559,0.00027226823,0.96917254,0.000056119967,0.000013601251,0.00031653626,0.029402869,0.00014555467,0.00012269469,0.00003333561,0.00045352598,0.00000707107],"about_ca_topic_score_codex":0.009414003,"about_ca_topic_score_gemma":0.022719188,"teacher_disagreement_score":0.009414003,"about_ca_system_score_codex":0.000544941,"about_ca_system_score_gemma":0.0008537015,"threshold_uncertainty_score":0.018718421},"labels":[],"label_agreement":null},{"id":"W2974428734","doi":"10.5430/ijfr.v10n6p265","title":"Corporate Governance Mechanisms, Whistle-Blowing Policy and Real Earnings Management","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Utara Malaysia","keywords":"Corporate governance; Earnings management; Accounting; Business; Independence (probability theory); Earnings; Audit committee; Sample (material); Agency (philosophy); Audit; Principal–agent problem; Finance","score_opus":0.02801029707759144,"score_gpt":0.3006277384149895,"score_spread":0.27261744133739807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974428734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917754,0.0010357342,0.0007049668,0.00088501564,0.000017125645,0.000052948377,0.00005666658,0.000012581908,0.0054596197],"genre_scores_gemma":[0.9986242,0.00019085492,0.00015083172,0.000050906223,0.000012500508,0.0000056522563,0.000022740653,9.709717e-7,0.0009414155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988005,0.00030991994,0.000109110595,0.0001518794,0.00031249013,0.00031607508],"domain_scores_gemma":[0.9794571,0.0022779256,0.015442657,0.00065260584,0.00097497745,0.0011948546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021082298,0.00022081469,0.00018911256,0.0009889529,0.0004742438,0.0018158695,0.0003626276,0.0006130472,0.001799286],"category_scores_gemma":[0.0074127405,0.00011213985,0.00018375338,0.00072242355,0.0008407219,0.0010098625,0.0007394799,0.0006076504,0.00019195916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009433662,0.0003203263,0.94007754,0.00014694761,0.00011928815,0.0004186108,0.00089459715,0.0017331488,0.0016359997,0.0049329842,0.0008935514,0.04873266],"study_design_scores_gemma":[0.000007658497,0.00015612139,0.9927279,0.00007960285,0.000025616899,0.000098883946,0.0012938865,0.0011753902,0.0005068073,0.0014343791,0.0024770666,0.000016728283],"about_ca_topic_score_codex":0.0034365163,"about_ca_topic_score_gemma":0.006047643,"teacher_disagreement_score":0.0034365163,"about_ca_system_score_codex":0.0010682681,"about_ca_system_score_gemma":0.0013011954,"threshold_uncertainty_score":0.011149526},"labels":[],"label_agreement":null},{"id":"W2979713904","doi":"10.5430/ijfr.v11n1p1","title":"Interactions of Financial Assistance and Financial Reporting Competency: Evidence From Local Government in Papua and West Papua Indonesia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Local government; Government (linguistics); Finance; Audit; Business; Order (exchange); Accounting; Quality (philosophy); Financial management; Political science; Public administration","score_opus":0.05109251032315191,"score_gpt":0.3221482882496317,"score_spread":0.2710557779264798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979713904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999054,0.000099338475,0.000028341667,0.00010332887,0.0000014499719,0.0000066042335,0.000018316981,0.0000010109218,0.00068757834],"genre_scores_gemma":[0.99968207,0.00012226196,0.000039856855,0.000028558421,0.000001697622,0.0000076415845,0.000016518607,8.859985e-7,0.00010059018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977768,0.0011318806,0.00016170218,0.00022901363,0.00034309205,0.00035763392],"domain_scores_gemma":[0.9852482,0.007874171,0.0041351668,0.00056456303,0.0011302169,0.0010476294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034677759,0.0002668333,0.00036636717,0.0012972375,0.0013088108,0.0017282566,0.00078350486,0.0003578922,0.0024156452],"category_scores_gemma":[0.01023132,0.0003306523,0.00033111696,0.001925698,0.0018397113,0.0011556284,0.001495456,0.0007771901,0.00021521519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051916435,0.00034107608,0.93977886,0.0002239677,0.00009167244,0.0011807757,0.04362253,0.000097877084,0.00021769681,0.00032009734,0.00024657793,0.013826921],"study_design_scores_gemma":[0.0000042454553,0.00009901853,0.90935266,0.00017877454,0.00006060402,0.00023714153,0.08892927,0.00022791131,0.00012026839,0.00007772483,0.0006992147,0.0000131136885],"about_ca_topic_score_codex":0.032825902,"about_ca_topic_score_gemma":0.049243037,"teacher_disagreement_score":0.032825902,"about_ca_system_score_codex":0.0014631621,"about_ca_system_score_gemma":0.0025646775,"threshold_uncertainty_score":0.06526965},"labels":[],"label_agreement":null},{"id":"W2979767173","doi":"10.5430/ijfr.v10n6p283","title":"The Effect of Total Quality Management on University Performance in Jordan","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total quality management; Sustainability; Business; Operations management; Psychology; Marketing; Engineering","score_opus":0.019275737998890624,"score_gpt":0.3240890288120826,"score_spread":0.304813290813192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979767173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953762,0.00025375868,0.00009937086,0.00039669083,0.000009102886,0.0000110527,0.000042993805,0.000009319689,0.0038015028],"genre_scores_gemma":[0.9991666,0.0001185058,0.000060173745,0.000037198897,0.000009109786,0.000006027658,0.000030359928,0.000002200959,0.00056990463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99641055,0.0015908454,0.0001982466,0.00022140636,0.0009432766,0.0006357301],"domain_scores_gemma":[0.9846341,0.0035428046,0.003749165,0.0003767918,0.0036002726,0.0040968764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038642096,0.00025551606,0.000417004,0.0009104294,0.00089421344,0.0023066688,0.0005016221,0.00044280736,0.0038033992],"category_scores_gemma":[0.009315433,0.00011893282,0.0005342402,0.0016665007,0.00081143784,0.00086699775,0.0014831532,0.0007872855,0.00056104944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009526955,0.002470183,0.91279936,0.0002295591,0.00027268674,0.00026599472,0.003823144,0.0027316408,0.00072940515,0.0022691996,0.0023421193,0.07111401],"study_design_scores_gemma":[0.00004546062,0.0014846359,0.9842795,0.0001062868,0.00008517627,0.000073850984,0.007367684,0.003283238,0.0006372518,0.00077249785,0.0018328897,0.000031536416],"about_ca_topic_score_codex":0.010485934,"about_ca_topic_score_gemma":0.008602895,"teacher_disagreement_score":0.010485934,"about_ca_system_score_codex":0.0021656363,"about_ca_system_score_gemma":0.004628971,"threshold_uncertainty_score":0.020849824},"labels":[],"label_agreement":null},{"id":"W2980492893","doi":"10.5430/ijfr.v11n1p43","title":"Antecedent Variables and Consequences of Religiosity on Fraud","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy and Behavior","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Religiosity; Antecedent (behavioral psychology); Nonprobability sampling; Structural equation modeling; Compensation (psychology); Psychology; Control (management); Social psychology; Accounting; Business; Sociology; Statistics; Economics; Management","score_opus":0.04119778707684018,"score_gpt":0.34513693141571944,"score_spread":0.30393914433887925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980492893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998348,0.00008350255,0.000097000826,0.00016366557,0.0000033826243,0.0000078282,0.000020778532,0.0000011821666,0.0012746701],"genre_scores_gemma":[0.9997048,0.000071406765,0.00007480147,0.000018309922,0.0000031597976,0.0000025556337,0.000014420224,3.9793377e-7,0.00010994244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895394,0.00045282464,0.00006986103,0.00006590451,0.00023866496,0.00021873158],"domain_scores_gemma":[0.9937115,0.0013092188,0.0029575976,0.00028421188,0.0005617862,0.0011758195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011041142,0.0001656245,0.00017183366,0.00073621137,0.0006746215,0.00094844104,0.00016326485,0.00031771773,0.0028598637],"category_scores_gemma":[0.006514622,0.00013827055,0.00023397425,0.00051713415,0.0009661429,0.0003169922,0.0010067405,0.0007830995,0.00016969352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003847998,0.00027208036,0.98709726,0.000030144405,0.0000339617,0.00028725193,0.0022740157,0.00013477755,0.00040524235,0.0005973316,0.00011211953,0.008717401],"study_design_scores_gemma":[0.000004189759,0.000111297544,0.99269557,0.000042091207,0.000020828811,0.00022048622,0.0052235373,0.00035322268,0.000181421,0.0004618992,0.0006767403,0.000008660833],"about_ca_topic_score_codex":0.002612292,"about_ca_topic_score_gemma":0.003332921,"teacher_disagreement_score":0.0028598637,"about_ca_system_score_codex":0.0006315491,"about_ca_system_score_gemma":0.00083010516,"threshold_uncertainty_score":0.009567201},"labels":[],"label_agreement":null},{"id":"W2980559434","doi":"10.5430/ijfr.v11n1p25","title":"Mudharabah Deposits Among Conventional Bank Interest Rates, Profit-Sharing Rates, Liquidity and Inflation Rates","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Mercu Buana","keywords":"Interest rate; Profit sharing; Market liquidity; Economics; Inflation (cosmology); Reserve requirement; Cost of funds index; Business; Monetary economics; Finance; Monetary policy; Central bank","score_opus":0.05503167343531619,"score_gpt":0.34322792787799333,"score_spread":0.28819625444267716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980559434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975744,0.00011993927,0.0000788542,0.00006545377,0.000006903075,0.0000034646018,0.00010931577,0.0000050095946,0.002036758],"genre_scores_gemma":[0.9990847,0.00007527295,0.00007334177,0.000013192237,0.000012038411,0.0000029557013,0.00013061274,0.0000015607897,0.00060638617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993274,0.00020597351,0.00006317205,0.0001237041,0.00018202668,0.00009780508],"domain_scores_gemma":[0.99290425,0.0028800901,0.0030035037,0.00026008295,0.0005093889,0.0004426443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090501184,0.00019696217,0.00035226997,0.00046935887,0.0003233357,0.0011496367,0.00017046172,0.0002111146,0.0027416563],"category_scores_gemma":[0.0049295975,0.00013421982,0.00022406828,0.0009977054,0.00042459473,0.0005683321,0.00059464626,0.0006063629,0.0005551208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025031896,0.00013344883,0.98349774,0.00004012769,0.00011798414,0.00022261962,0.0007091339,0.00059174973,0.0005521977,0.0011242573,0.00042892154,0.012331682],"study_design_scores_gemma":[0.00000998843,0.0001358536,0.99439657,0.000019163022,0.00006934052,0.00012940056,0.0011445787,0.0018161683,0.00051439647,0.00036519908,0.0013884229,0.000010806322],"about_ca_topic_score_codex":0.0032231123,"about_ca_topic_score_gemma":0.002963191,"teacher_disagreement_score":0.0032231123,"about_ca_system_score_codex":0.00032471804,"about_ca_system_score_gemma":0.000426618,"threshold_uncertainty_score":0.009171784},"labels":[],"label_agreement":null},{"id":"W2980659773","doi":"10.5430/ijfr.v11n1p60","title":"Analysis of Company Characteristics of Firm Values: Profitability as Intervening Variables","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Stock exchange; Market liquidity; Nonprobability sampling; Enterprise value; Business; Capital structure; Path analysis (statistics); Variables; Population; Bivariate analysis; Regression analysis; Economics; Econometrics; Finance; Statistics; Mathematics","score_opus":0.04262402030885524,"score_gpt":0.3296272201039518,"score_spread":0.28700319979509653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980659773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723756,0.00011671145,0.00026311917,0.00013283019,0.0000056666017,0.000017310243,0.00025562383,0.0000039628926,0.0019671144],"genre_scores_gemma":[0.999403,0.00003109291,0.00011393343,0.0000105396775,0.0000066635016,0.000010602282,0.00018170326,9.050705e-7,0.00024163151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998725,0.0003996728,0.000111593385,0.00014347224,0.00038364984,0.00023671634],"domain_scores_gemma":[0.98704857,0.0056563704,0.0051507927,0.0002558583,0.0007793484,0.0011090531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096110575,0.00020929916,0.00023298697,0.0012772961,0.00036619903,0.0011166044,0.00030630967,0.0004265477,0.002539073],"category_scores_gemma":[0.005616925,0.00009654459,0.00037879474,0.0014736939,0.00045077704,0.00063988566,0.0006234605,0.0006940971,0.00028816433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025447152,0.00007616457,0.997095,0.000008120285,0.000042706408,0.00007277342,0.00008507085,0.00014157013,0.000083575134,0.00014454157,0.00008616735,0.00213878],"study_design_scores_gemma":[0.0000018600427,0.00007455751,0.99825054,0.0000097905395,0.000021670094,0.000050010927,0.00035920102,0.0007357307,0.00014640397,0.00010590626,0.00024094238,0.0000033495203],"about_ca_topic_score_codex":0.003534064,"about_ca_topic_score_gemma":0.004660692,"teacher_disagreement_score":0.003534064,"about_ca_system_score_codex":0.00060777494,"about_ca_system_score_gemma":0.00086155225,"threshold_uncertainty_score":0.0084940195},"labels":[],"label_agreement":null},{"id":"W2980828342","doi":"10.5430/ijfr.v11n1p13","title":"The Effect of Financial Leverage on The Islamic Banks’s Performance in The Gulf Cooperation Council (GCC) Countries","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Debt-to-capital ratio; Islam; Business; Financial system; Debt; Capital structure; Monetary economics; Agency cost; Population; Finance; Economics; Accounting; Return on equity; Profitability index; Equity ratio; Shareholder; Corporate governance","score_opus":0.03189020022340414,"score_gpt":0.2899275063485992,"score_spread":0.25803730612519504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980828342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726367,0.0004472917,0.000029948935,0.0001296753,0.000010710973,0.0000026368875,0.00028630847,0.0000031872796,0.0018266608],"genre_scores_gemma":[0.99924564,0.00021295108,0.00001814666,0.000012165885,0.000011583156,0.0000012419348,0.00022249353,8.288959e-7,0.000274994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995073,0.00010617823,0.00006385045,0.000058651953,0.00011841187,0.00014553564],"domain_scores_gemma":[0.9946312,0.0008347448,0.0030168141,0.00013136242,0.00093137607,0.0004546001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089876447,0.00023949952,0.00017252746,0.0013872056,0.00027173694,0.0013739464,0.00015962873,0.00035931694,0.0011733649],"category_scores_gemma":[0.0039452193,0.000077763725,0.00021786202,0.001827549,0.00041685117,0.0005511997,0.00060121214,0.00050841743,0.00025908859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006703878,0.00002882642,0.9906501,0.000019885421,0.000065938286,0.00028106276,0.00035722027,0.00079431775,0.00016357031,0.00031338792,0.0006333723,0.006625362],"study_design_scores_gemma":[0.0000016310746,0.000039467723,0.9978048,0.000030748368,0.00002140539,0.00007675148,0.00086246413,0.0003473641,0.00012411604,0.000047596397,0.0006377788,0.000005829027],"about_ca_topic_score_codex":0.017049711,"about_ca_topic_score_gemma":0.017170632,"teacher_disagreement_score":0.017049711,"about_ca_system_score_codex":0.0006567173,"about_ca_system_score_gemma":0.0006285824,"threshold_uncertainty_score":0.033900917},"labels":[],"label_agreement":null},{"id":"W2981066920","doi":"10.5430/ijfr.v11n1p49","title":"Impact of Microfinance on Poverty: Qualitative Analysis for Grameen Bank Borrowers","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Malaysia Pahang","keywords":"Microfinance; Poverty; Government (linguistics); Qualitative research; Economics; Portfolio; Business; Politics; Financial system; Economic growth; Development economics; Finance; Political science; Sociology","score_opus":0.10984683878645846,"score_gpt":0.45649910583291614,"score_spread":0.3466522670464577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981066920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213636,0.0002712519,0.00094396184,0.0016335836,0.000016795519,0.00013515847,0.00031860732,0.000007612461,0.004536698],"genre_scores_gemma":[0.9957417,0.00038650795,0.000655847,0.0003111489,0.0000061121923,0.00017046709,0.00010460111,0.000007894287,0.002615856],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99786913,0.0013833581,0.00006261022,0.0001329162,0.00022882261,0.00032316035],"domain_scores_gemma":[0.9950088,0.0035640649,0.0004924168,0.00010210574,0.00047464273,0.00035792615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028130142,0.00026919463,0.00037811612,0.0014368212,0.00394616,0.0019584182,0.0007087036,0.0008326156,0.004958914],"category_scores_gemma":[0.0062931986,0.00024842282,0.00022988385,0.0016108918,0.004303732,0.0022422469,0.0028684922,0.0010794362,0.00026118782],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007710624,0.00007080682,0.012821593,0.0003016535,0.0000058475157,0.0013862463,0.9716656,0.00009410934,0.0013425535,0.0022137845,0.0011252076,0.008895423],"study_design_scores_gemma":[0.000002183172,0.00003596665,0.0069107544,0.00013798395,0.0000038755097,0.00020075397,0.9869832,0.00010595731,0.00033924502,0.000521579,0.0047479644,0.0000105559875],"about_ca_topic_score_codex":0.0061779874,"about_ca_topic_score_gemma":0.012166737,"teacher_disagreement_score":0.0061779874,"about_ca_system_score_codex":0.003480039,"about_ca_system_score_gemma":0.001938586,"threshold_uncertainty_score":0.02524954},"labels":[],"label_agreement":null},{"id":"W2981202230","doi":"10.5430/ijfr.v11n1p71","title":"Institutional Ownership, Productivity Sustainable Investment Based on Financial Constrains and Firm Value: Implications of Agency Theory, Signaling Theory, and Asymmetry Information on Sharia Companies in Indonesia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Principal–agent problem; Enterprise value; Information asymmetry; Business; Stock exchange; Investment (military); Sample (material); Population; Agency cost; Institutional theory; Institutional investor; Value (mathematics); Nonprobability sampling; Agency (philosophy); Economics; Finance; Accounting; Shareholder; Corporate governance","score_opus":0.02460174333461994,"score_gpt":0.2994466505382445,"score_spread":0.27484490720362453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981202230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659544,0.00011962371,0.00018316299,0.00017850808,0.0000020966402,0.0000058739456,0.000032853317,9.570754e-7,0.0028815172],"genre_scores_gemma":[0.99984443,0.000034276098,0.000024150746,0.000004368677,0.0000015700726,0.0000015144263,0.000011258196,2.1810058e-7,0.00007815088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918836,0.0002106233,0.00008375587,0.00010026379,0.00024860175,0.00016843453],"domain_scores_gemma":[0.9862896,0.005783352,0.0062790737,0.00030511845,0.00060381205,0.00073903135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263735,0.00016055469,0.00029384787,0.0011830229,0.00038483925,0.0021068817,0.00030933061,0.0003299076,0.0022110424],"category_scores_gemma":[0.0056230407,0.00013504375,0.00020432391,0.0011946396,0.0010953138,0.0016035952,0.0009731663,0.0006867458,0.00010031173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008310315,0.00015099718,0.9811717,0.000042882402,0.000062175,0.00044375693,0.0011706282,0.001478044,0.00028871422,0.00502784,0.00017772467,0.009902585],"study_design_scores_gemma":[0.0000073196798,0.00007273757,0.984991,0.00005636768,0.000040565363,0.0001200827,0.0046429494,0.005561503,0.00030423384,0.003602852,0.00058626645,0.000014080743],"about_ca_topic_score_codex":0.004107964,"about_ca_topic_score_gemma":0.0045918906,"teacher_disagreement_score":0.004107964,"about_ca_system_score_codex":0.0012767147,"about_ca_system_score_gemma":0.0008540656,"threshold_uncertainty_score":0.009263277},"labels":[],"label_agreement":null},{"id":"W2981269349","doi":"10.5430/ijfr.v11n1p34","title":"Influence of Rational and Emotional Appeals on Purchasing Through Online: The Case on Social Media","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Appeal to emotion; Advertising; Appeal; Purchasing; Product (mathematics); Social media; Sociality; Psychology; Test (biology); Affect (linguistics); Marketing; Business; Social psychology; Political science","score_opus":0.09421325482049456,"score_gpt":0.4408540384027371,"score_spread":0.3466407835822426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981269349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710405,0.00016243357,0.0001941448,0.000696234,0.000008828838,0.000011949372,0.00001535691,0.0000025475401,0.027868072],"genre_scores_gemma":[0.99929285,0.00008278409,0.000050375023,0.00005120698,0.000007758071,0.0000023036491,0.0000036373344,0.000001601463,0.0005074735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974993,0.0015806068,0.000042740754,0.00014056772,0.00039980904,0.00033701703],"domain_scores_gemma":[0.98758477,0.009183835,0.0012151711,0.0004332369,0.00066800445,0.00091500854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017479705,0.00020413696,0.0002535073,0.0009737859,0.0012847749,0.002779504,0.0002544255,0.0008880177,0.0047651804],"category_scores_gemma":[0.0069966563,0.0002044681,0.00037555868,0.0006442586,0.0017861223,0.0009877881,0.0010037491,0.0010525285,0.00034910778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009806381,0.0015149,0.82694936,0.00015269365,0.00021349288,0.014951762,0.0724342,0.00045216703,0.0055517475,0.018222928,0.0016220205,0.056954067],"study_design_scores_gemma":[0.000036415127,0.00036870159,0.9172933,0.00008070717,0.00019137785,0.0033311623,0.063844204,0.0022076322,0.0009933653,0.005194208,0.0064003984,0.000058573656],"about_ca_topic_score_codex":0.005285835,"about_ca_topic_score_gemma":0.006636953,"teacher_disagreement_score":0.005285835,"about_ca_system_score_codex":0.00091566955,"about_ca_system_score_gemma":0.0004939851,"threshold_uncertainty_score":0.015941143},"labels":[],"label_agreement":null},{"id":"W2981392963","doi":"10.5430/ijfr.v11n1p147","title":"Fiscal Decentralization and Economic Growth in Thailand: A Cross-Region Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decentralization; Economics; Panel data; Revenue; Public expenditure; Gross domestic product; Local government; Macroeconomics; Development economics; Public finance; Finance; Market economy; Econometrics; Geography","score_opus":0.033300289000119734,"score_gpt":0.3957217240692464,"score_spread":0.36242143506912666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981392963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981451,0.00021119606,0.00014713324,0.00004313339,0.000003367178,0.0000052402543,0.0005607767,0.000006380963,0.00087775796],"genre_scores_gemma":[0.99877566,0.00015090742,0.000072709525,0.000006822124,0.0000036876907,0.0000059524114,0.0006684267,0.0000030006913,0.00031275844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993771,0.00021669333,0.000051964405,0.000101570746,0.00007728834,0.0001754334],"domain_scores_gemma":[0.9977742,0.00065472856,0.00077456824,0.00012604748,0.00035166487,0.00031871788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008589939,0.00025140075,0.0002947401,0.0014268312,0.00038050432,0.0010075389,0.00027712563,0.0001657678,0.0019091953],"category_scores_gemma":[0.0019211886,0.00017083579,0.00070902787,0.0026042317,0.00040260324,0.0006137567,0.0011487888,0.00050358346,0.00027882148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010234731,0.000045431632,0.9897278,0.000036318077,0.00021804294,0.0004702396,0.0008476932,0.0030047486,0.0001713387,0.00025885165,0.00029023096,0.0048269206],"study_design_scores_gemma":[0.0000037058662,0.00006694895,0.9930433,0.000017879865,0.00008075678,0.00016407839,0.0026081102,0.0029020293,0.00014608166,0.00006227796,0.0008953691,0.000009412372],"about_ca_topic_score_codex":0.053269327,"about_ca_topic_score_gemma":0.041899033,"teacher_disagreement_score":0.053269327,"about_ca_system_score_codex":0.0008328882,"about_ca_system_score_gemma":0.00082128565,"threshold_uncertainty_score":0.10591853},"labels":[],"label_agreement":null},{"id":"W2981677662","doi":"10.5430/ijfr.v11n1p137","title":"Environmental Performance and Firm Value: Testing the Role of Firm Reputation","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reputation; Structural equation modeling; Sample (material); Value (mathematics); Enterprise value; Business; Stock exchange; Partial least squares regression; Empirical evidence; Econometrics; Industrial organization; Accounting; Economics; Statistics; Mathematics","score_opus":0.03063429104798703,"score_gpt":0.26899829197740616,"score_spread":0.23836400092941912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981677662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541473,0.00022390891,0.00042329996,0.00016367127,0.00000894833,0.00001259242,0.00012100955,0.000004993089,0.0036269145],"genre_scores_gemma":[0.9996427,0.000031374828,0.00007172611,0.000009136152,0.0000065930362,0.0000039299684,0.00006510948,7.5071597e-7,0.00016870054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978764,0.00080492167,0.0001490858,0.00031529873,0.00055799336,0.00029631358],"domain_scores_gemma":[0.962814,0.01783656,0.013396904,0.0016095758,0.0021029336,0.002240069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024274602,0.0002671622,0.00042673716,0.001255338,0.00055120344,0.0016878512,0.0004950657,0.0006982736,0.0025101104],"category_scores_gemma":[0.01292254,0.000115541705,0.0004621353,0.0015068114,0.00076166796,0.0014839232,0.0011766949,0.0007361082,0.0002963425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010991555,0.0002550364,0.9893161,0.000054697357,0.00022990462,0.00015247171,0.00027236756,0.0007442917,0.00038432205,0.0011037596,0.00016497761,0.00721221],"study_design_scores_gemma":[0.000008999348,0.00033948405,0.9944596,0.000027735283,0.00011597107,0.0000643669,0.0006518174,0.002816653,0.00037634122,0.00072705816,0.00039820847,0.0000137039015],"about_ca_topic_score_codex":0.0026972855,"about_ca_topic_score_gemma":0.0036722352,"teacher_disagreement_score":0.0026972855,"about_ca_system_score_codex":0.00074519904,"about_ca_system_score_gemma":0.00076741853,"threshold_uncertainty_score":0.012837768},"labels":[],"label_agreement":null},{"id":"W2981897339","doi":"10.5430/ijfr.v11n1p123","title":"The Determinants of Financial Inclusion in Egypt","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Financial literacy; Inclusion (mineral); Order (exchange); Economics; Financial system; Logistic regression; Business; Finance; Financial services; Sociology; Social science","score_opus":0.0587935686986443,"score_gpt":0.3597078993659348,"score_spread":0.30091433066729045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981897339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962962,0.00018786386,0.000035790254,0.0005566597,0.0000026386567,0.0000048198663,0.00015572041,0.0000018739468,0.0027585537],"genre_scores_gemma":[0.9994056,0.000100677906,0.000018846302,0.00001945926,0.000003000586,0.00000188569,0.00007615085,6.718686e-7,0.00037377368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995764,0.000098922894,0.000035470424,0.000023273658,0.00009251289,0.0001734362],"domain_scores_gemma":[0.99830806,0.00023170658,0.000843313,0.000049124214,0.00022543239,0.0003424465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050384563,0.000101344245,0.00014859486,0.0011245431,0.0006210248,0.0012456801,0.00021406976,0.00022283579,0.0046680397],"category_scores_gemma":[0.0032648754,0.000059271304,0.00014475426,0.0015753703,0.0004909266,0.0005388737,0.0011640425,0.0004420992,0.00032686492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000627286,0.00008920141,0.9817754,0.00003325916,0.00002854114,0.00030069606,0.001657182,0.0001448376,0.0000917842,0.0013417887,0.00065797643,0.013816562],"study_design_scores_gemma":[0.0000019668348,0.000016846745,0.9921072,0.000056025026,0.000008778946,0.00009586274,0.0051207677,0.0001945152,0.00007369613,0.00029830713,0.0020218773,0.000004087993],"about_ca_topic_score_codex":0.031207597,"about_ca_topic_score_gemma":0.026358504,"teacher_disagreement_score":0.031207597,"about_ca_system_score_codex":0.00083454815,"about_ca_system_score_gemma":0.000995902,"threshold_uncertainty_score":0.062051892},"labels":[],"label_agreement":null},{"id":"W2981994528","doi":"10.5430/ijfr.v11n1p115","title":"Predicting Time-Lag Stock Return Using Tactical Asset Allocation Trading Strategies Across Global Stock Indices","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asset allocation; Portfolio; Market timing; Stock (firearms); Trading strategy; Drawdown (hydrology); Investment strategy; Econometrics; Stock market; Order (exchange); Lag; Business; Computer science; Financial economics; Economics; Finance; Market liquidity","score_opus":0.1003370529795445,"score_gpt":0.38540926972794187,"score_spread":0.2850722167483974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981994528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850899,0.000112783084,0.013447783,0.000042585918,0.000015692307,0.000012581508,0.00010602268,0.000075318334,0.0010973191],"genre_scores_gemma":[0.9970572,0.000057848272,0.0025265242,0.0000055936844,0.0000049674027,0.000004345345,0.00013135924,0.0000036214833,0.00020851858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998454,0.000031700903,0.000011558341,0.000045917517,0.00004050808,0.000024832209],"domain_scores_gemma":[0.9994721,0.0002534329,0.00010654553,0.00003757937,0.000088934976,0.00004151925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048128827,0.000606909,0.00038619814,0.00082425075,0.00011441125,0.0007762841,0.00024084348,0.00032872055,0.000565915],"category_scores_gemma":[0.0018767329,0.00011939574,0.00028122266,0.000547136,0.00010992446,0.0006358339,0.0002207107,0.00029351132,0.00017948485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058021507,0.00048662265,0.25929135,0.00007370953,0.0003102456,0.00042870067,0.00015611082,0.5598203,0.014210393,0.0012645271,0.0008719888,0.1625058],"study_design_scores_gemma":[0.00000743951,0.00014404637,0.037105497,0.0000050117274,0.000031349027,0.000046786867,0.000042968823,0.9600877,0.0020092274,0.00036255582,0.00014664067,0.0000108346885],"about_ca_topic_score_codex":0.004756737,"about_ca_topic_score_gemma":0.005006708,"teacher_disagreement_score":0.004756737,"about_ca_system_score_codex":0.00020644827,"about_ca_system_score_gemma":0.00027171904,"threshold_uncertainty_score":0.009458125},"labels":[],"label_agreement":null},{"id":"W2982168146","doi":"10.5430/ijfr.v11n1p82","title":"Monetary Policy and Financial Stability in the Nigerian Banking Industry","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monetary policy; Financial stability; Banking industry; Economics; Monetary economics; Index (typography); Financial system; Exchange rate; Interest rate; Financial market; Business; Finance","score_opus":0.03968515917526576,"score_gpt":0.33140433933790425,"score_spread":0.2917191801626385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982168146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966595,0.0009986875,0.00012532303,0.00040609733,0.000015568503,0.0000036943998,0.000058726626,0.000001915354,0.0017304376],"genre_scores_gemma":[0.99914324,0.00049950747,0.000042804993,0.000017326145,0.000008615168,0.0000013026647,0.000033634216,4.799013e-7,0.00025312972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996823,0.00008697075,0.000039343446,0.000040699524,0.00007367145,0.00007706541],"domain_scores_gemma":[0.9979133,0.0005718857,0.0010731892,0.000036697944,0.00026830242,0.00013671527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074912974,0.00015626207,0.00019690846,0.0008389002,0.00049608725,0.001744992,0.00012051017,0.00044190264,0.00094716635],"category_scores_gemma":[0.0039214375,0.0001284534,0.00016184831,0.0008173445,0.00035066067,0.0007288967,0.00053785613,0.0006491644,0.00015741614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020649614,0.00011547086,0.97584224,0.00006120306,0.00005801313,0.00054518983,0.000805064,0.003709678,0.00060741836,0.0024449052,0.000362161,0.015242256],"study_design_scores_gemma":[0.00001123942,0.00012847106,0.98595154,0.00012262924,0.000043936307,0.00018676982,0.0017250987,0.008412285,0.00039076325,0.0011637061,0.0018492108,0.00001446386],"about_ca_topic_score_codex":0.01298834,"about_ca_topic_score_gemma":0.0115993135,"teacher_disagreement_score":0.01298834,"about_ca_system_score_codex":0.00078024145,"about_ca_system_score_gemma":0.0008928137,"threshold_uncertainty_score":0.02582544},"labels":[],"label_agreement":null},{"id":"W2982388638","doi":"10.5430/ijfr.v11n1p157","title":"The Relationship Between Human Capital and Financial Development: A Case Study of Turkey","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Human capital; Causality (physics); Economics; Human Development Index; Index (typography); Order (exchange); Financial capital; Finance; Human development (humanity); Economic growth","score_opus":0.16458403062045818,"score_gpt":0.37045585678499066,"score_spread":0.20587182616453248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982388638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532384,0.00043283115,0.0002155479,0.00034708847,0.000007205165,0.000022751428,0.00017041017,0.0000036804522,0.003476651],"genre_scores_gemma":[0.9982584,0.00057149737,0.00038535165,0.000046130892,0.000005854954,0.000010521665,0.00008668495,0.0000018393761,0.0006336761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947494,0.00023456219,0.000032556993,0.000045853474,0.00005000074,0.00016211307],"domain_scores_gemma":[0.9989009,0.0005148615,0.00021832837,0.000036869875,0.00016344088,0.00016558036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008493585,0.00036176245,0.0002982617,0.0019255523,0.0013415336,0.0015264803,0.00058493135,0.00090830884,0.001651658],"category_scores_gemma":[0.0009872434,0.00014856156,0.0003381633,0.002816,0.0008813924,0.00080011366,0.0010743825,0.00066263176,0.00019603081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065232377,0.001625307,0.75533867,0.0006910113,0.0001501799,0.09910678,0.0285355,0.016239224,0.0015040974,0.019250317,0.006411432,0.07049508],"study_design_scores_gemma":[0.00007697011,0.0007528799,0.7601408,0.00057281903,0.0001555183,0.012210055,0.17817591,0.022528926,0.0016221924,0.003296971,0.020342782,0.00012406653],"about_ca_topic_score_codex":0.05241969,"about_ca_topic_score_gemma":0.061346266,"teacher_disagreement_score":0.05241969,"about_ca_system_score_codex":0.0028826827,"about_ca_system_score_gemma":0.0015653394,"threshold_uncertainty_score":0.10422915},"labels":[],"label_agreement":null},{"id":"W2982491008","doi":"10.5430/ijfr.v11n1p171","title":"A Descriptive Analysis of IPOs Post Listing Liquidity in Malaysia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Initial public offering; Business; Listing (finance); Shareholder; Stock market; Corporate governance; Transparency (behavior); Financial system; Stock exchange; Stock (firearms); Monetary economics; Accounting; Finance; Economics","score_opus":0.05728269884165582,"score_gpt":0.3301273759362801,"score_spread":0.2728446770946243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982491008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98723805,0.00021497838,0.0001109903,0.00012067178,0.0000051742513,0.00005012792,0.0076023904,0.000017117478,0.0046405206],"genre_scores_gemma":[0.99104804,0.00031535348,0.00020790585,0.00004674633,0.000026214913,0.00006283272,0.0055310857,0.0000059342597,0.002755867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996425,0.00003602077,0.00009454148,0.00003883584,0.000095674695,0.0000924741],"domain_scores_gemma":[0.99583155,0.00070035725,0.002616807,0.00009011303,0.00046301077,0.00029826871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004789768,0.00016964693,0.00015117276,0.0031728894,0.00028398677,0.0007811092,0.00023643047,0.0002391837,0.0039159823],"category_scores_gemma":[0.0021515235,0.00011024736,0.00027595315,0.0027556207,0.00023966332,0.0008130218,0.00040518134,0.00041031544,0.0007659927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010051946,0.0000822524,0.9836902,0.000079873585,0.0000142556555,0.0004688051,0.0016199748,0.0001799881,0.00055800506,0.0003114394,0.0014859687,0.011408664],"study_design_scores_gemma":[9.793466e-7,0.00008132514,0.99523526,0.00002485787,0.000005371776,0.0004034569,0.0018081467,0.00015359504,0.00018090774,0.000041367428,0.00205733,0.0000074535924],"about_ca_topic_score_codex":0.004822462,"about_ca_topic_score_gemma":0.0061015254,"teacher_disagreement_score":0.004822462,"about_ca_system_score_codex":0.0005821946,"about_ca_system_score_gemma":0.00056729786,"threshold_uncertainty_score":0.013100326},"labels":[],"label_agreement":null},{"id":"W2983932855","doi":"10.5430/ijfr.v11n1p181","title":"The Effect of the Global Financial Crisis on the Profitability of Islamic Banks in UAE","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Financial crisis; Return on equity; Recession; Return on assets; Equity (law); Financial system; Business; Economics; Monetary economics; Finance; Macroeconomics","score_opus":0.01658069201954336,"score_gpt":0.3179527918283611,"score_spread":0.30137209980881774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983932855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906,0.0000684077,0.000019277491,0.0000707163,0.0000029344876,0.000001951616,0.00006529034,0.0000016534553,0.00070980657],"genre_scores_gemma":[0.99969065,0.00006805896,0.00002295386,0.000017242644,0.000005439596,0.0000014667784,0.00008237153,5.593232e-7,0.000111238216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999443,0.00015440954,0.000053879092,0.000049503047,0.00014162296,0.0001575929],"domain_scores_gemma":[0.99625,0.000774354,0.0018923691,0.0000869271,0.0006187393,0.00037759324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081121013,0.00018021055,0.00024871883,0.0010102523,0.0003740282,0.0014942624,0.00017057407,0.0003817915,0.0009073651],"category_scores_gemma":[0.0031992411,0.000113766,0.00016357805,0.0011396892,0.0005795968,0.0006484113,0.0006389831,0.00059359043,0.00024757138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017701613,0.00009127996,0.9911561,0.000017172568,0.00003673904,0.0003225184,0.00072724465,0.0005722718,0.00048728468,0.00018387081,0.0004761057,0.0057523563],"study_design_scores_gemma":[0.000001590902,0.000065705186,0.9975581,0.000007263983,0.0000074540085,0.00007840577,0.0015749715,0.00030021797,0.00012542668,0.00002654036,0.0002493784,0.0000049587675],"about_ca_topic_score_codex":0.007390768,"about_ca_topic_score_gemma":0.010970271,"teacher_disagreement_score":0.007390768,"about_ca_system_score_codex":0.000686773,"about_ca_system_score_gemma":0.00054456096,"threshold_uncertainty_score":0.014695525},"labels":[],"label_agreement":null},{"id":"W2983945789","doi":"10.5430/ijfr.v11n1p236","title":"Construction of Competitive Advantage Instrument in Jordanian SME Context Using Structural Equation Modelling","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Benchmarking; Competitive advantage; Structural equation modeling; Context (archaeology); Delphi method; Business; Marketing; Construct (python library); Sustainability; Industrial organization; Economics; Computer science","score_opus":0.09192401545758279,"score_gpt":0.34869339908334374,"score_spread":0.25676938362576096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983945789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95076704,0.00056500576,0.029686585,0.0011249798,0.00004422965,0.0013363862,0.0017606583,0.0001186813,0.014596405],"genre_scores_gemma":[0.9404528,0.000743244,0.0538791,0.00017507662,0.000022929733,0.001433656,0.0018548128,0.000021269041,0.001416963],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976279,0.0013308377,0.00025548475,0.00020680929,0.00036290553,0.00021600547],"domain_scores_gemma":[0.99558264,0.0027334648,0.00046910247,0.0001207763,0.0009757257,0.0001182563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046354104,0.00065891596,0.0007445286,0.003711579,0.0009114975,0.002667723,0.0009105886,0.0009568393,0.003580194],"category_scores_gemma":[0.0074979374,0.00040412846,0.0012184747,0.0034294005,0.0005529865,0.0011535018,0.0019056313,0.0011299961,0.00048486388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002789362,0.0025803149,0.6204524,0.0019617875,0.00054512994,0.0018284867,0.02146938,0.06612078,0.00380576,0.05073387,0.0076409495,0.2225822],"study_design_scores_gemma":[0.00025655932,0.0015344019,0.3851888,0.0024442824,0.0007884614,0.0005637615,0.05906195,0.4806524,0.0046709203,0.025073132,0.039477833,0.0002875126],"about_ca_topic_score_codex":0.00806238,"about_ca_topic_score_gemma":0.0099222055,"teacher_disagreement_score":0.00806238,"about_ca_system_score_codex":0.0018611363,"about_ca_system_score_gemma":0.004266581,"threshold_uncertainty_score":0.024514675},"labels":[],"label_agreement":null},{"id":"W2984848350","doi":"10.5430/ijfr.v11n1p189","title":"Academic Cheating and Characteristics of Accounting Students","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direcció General de Recerca, Generalitat de Catalunya; Direktorat Riset dan Pengabdian Masyarakat","keywords":"Cheating; Psychology; Honesty; Incentive; Rationalization (economics); Bivariate analysis; Sanctions; Regression analysis; Social psychology; Accounting; Mathematics education; Political science; Management; Business; Statistics; Economics; Mathematics","score_opus":0.05962648940013091,"score_gpt":0.4600436545566419,"score_spread":0.400417165156511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984848350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991918,0.000035065626,0.000039916256,0.00007524426,0.0000023906784,0.0000051846646,0.00003354276,0.0000016976198,0.0006151117],"genre_scores_gemma":[0.9997166,0.000025338624,0.000034690154,0.000011281249,0.0000033140948,0.000002571374,0.000032995642,6.0984104e-7,0.00017260342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858785,0.00032574273,0.00025021407,0.00008379955,0.0005268019,0.00022565067],"domain_scores_gemma":[0.9780156,0.003639482,0.0133366,0.0008205814,0.0017563989,0.0024313242],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0016126627,0.00014654304,0.0002208747,0.0012247296,0.0005771121,0.0013120477,0.0002836772,0.0004978091,0.0026487038],"category_scores_gemma":[0.012725919,0.00012750008,0.00033540305,0.0011167624,0.00055528776,0.0005616934,0.0005454937,0.0009600386,0.00044776488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003041346,0.00010729004,0.9972543,0.000005607188,0.000011269047,0.00004154859,0.00040116376,0.000035333564,0.00013481465,0.00004074687,0.000047993508,0.0018895173],"study_design_scores_gemma":[0.0000014746224,0.000098697914,0.997891,0.0000060570264,0.000007941298,0.0001594406,0.001181798,0.00021700656,0.00012583619,0.00006835243,0.00023464966,0.000007663329],"about_ca_topic_score_codex":0.001388093,"about_ca_topic_score_gemma":0.0014783011,"teacher_disagreement_score":0.9995022,"about_ca_system_score_codex":0.00037780555,"about_ca_system_score_gemma":0.00049961766,"threshold_uncertainty_score":0.0088608265},"labels":[],"label_agreement":null},{"id":"W2985160700","doi":"10.5430/ijfr.v11n1p252","title":"Comparative and Demonstrative Study Between the Liquidity of Islamic and Conventional Banks in a Financial Stability Period: Which Type of Banks Is the Most Liquid?","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Islam; Financial system; Bankruptcy; Business; Order (exchange); Economics; Monetary economics; Finance","score_opus":0.07622132613660418,"score_gpt":0.36633242123692633,"score_spread":0.2901110951003222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985160700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892247,0.00013983955,0.000038729373,0.00003473457,0.0000021432668,0.0000031715633,0.000076776865,5.1915754e-7,0.0007816024],"genre_scores_gemma":[0.9997577,0.000042393604,0.000021750902,0.0000084310905,0.0000056396702,0.0000019741356,0.00007140531,3.6348766e-7,0.000090286805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945813,0.00014387432,0.00007316222,0.00010562281,0.00010052738,0.000118686185],"domain_scores_gemma":[0.99485105,0.0018591997,0.002004099,0.00016448386,0.0006376948,0.00048343895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012044022,0.00009540736,0.00020354106,0.0018825002,0.00044563497,0.0010533826,0.0002272153,0.00044848913,0.0019807797],"category_scores_gemma":[0.004357028,0.000095586576,0.00018837253,0.001629446,0.00079071015,0.0010563184,0.00066141563,0.00033077147,0.0002697498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005549111,0.000109902954,0.9872989,0.00003946922,0.000038028196,0.00023657609,0.0039366977,0.00012159847,0.00058383244,0.00070432835,0.00026199847,0.006113886],"study_design_scores_gemma":[0.000006155258,0.00016222628,0.99472815,0.000012394893,0.00001847503,0.00012981496,0.0041656108,0.00016072807,0.00016543617,0.00014467617,0.00030041795,0.0000059233957],"about_ca_topic_score_codex":0.002209096,"about_ca_topic_score_gemma":0.0031320418,"teacher_disagreement_score":0.002209096,"about_ca_system_score_codex":0.0004456029,"about_ca_system_score_gemma":0.00035654465,"threshold_uncertainty_score":0.0066263676},"labels":[],"label_agreement":null},{"id":"W2987616518","doi":"10.5430/ijfr.v11n1p206","title":"Female Directors, Family Ownership and Firm Performance in Jordan","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Panel data; Business; Context (archaeology); Ordinary least squares; Accounting; Demographic economics; Sample (material); Regression analysis; Economics; Finance; Econometrics","score_opus":0.05732405135555905,"score_gpt":0.30963353949606925,"score_spread":0.2523094881405102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987616518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980088,0.0005801541,0.000012944531,0.00020690759,0.0000044066924,0.000001994161,0.00005800916,6.277378e-7,0.0011262166],"genre_scores_gemma":[0.9988907,0.00027441434,0.000014237209,0.000032805798,0.000011272133,0.0000013438529,0.00005544625,4.1914498e-7,0.00071928557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999629,0.00011316212,0.000025322732,0.000040949715,0.00009780316,0.00009367674],"domain_scores_gemma":[0.99696606,0.00035008678,0.0017621274,0.000050672443,0.00031025035,0.0005608765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000880608,0.000118089214,0.00014310067,0.00074289605,0.00040949913,0.00091183535,0.00018396953,0.00018613151,0.0027227676],"category_scores_gemma":[0.0023052383,0.000065418084,0.00011085954,0.00072816736,0.0002975806,0.0004743494,0.00044703708,0.00021957244,0.00022686506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042308762,0.000051940657,0.99167144,0.000011244112,0.000016024358,0.000165798,0.0007448977,0.000057544905,0.000056766545,0.00011351625,0.00043109604,0.0066374065],"study_design_scores_gemma":[0.0000021226022,0.000051351057,0.9954104,0.000017001079,0.0000061160586,0.00012723211,0.0030527322,0.00008259987,0.000042071133,0.00004316311,0.0011624685,0.0000028590694],"about_ca_topic_score_codex":0.0081983255,"about_ca_topic_score_gemma":0.0149479555,"teacher_disagreement_score":0.0081983255,"about_ca_system_score_codex":0.0006126638,"about_ca_system_score_gemma":0.0005546663,"threshold_uncertainty_score":0.016301215},"labels":[],"label_agreement":null},{"id":"W2987711911","doi":"10.5430/ijfr.v11n1p274","title":"Strategic Costing Models as Strategic Management Accounting Techniques at Private Universities in Riau, Indonesia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Activity-based costing; Target costing; Management accounting; Cost accounting; Strategic planning; Business; Process management; Product cost management; Knowledge management; Accounting; Computer science; Marketing; Cost engineering","score_opus":0.046925621250057205,"score_gpt":0.31133018665834855,"score_spread":0.2644045654082913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987711911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80334,0.004216566,0.02793673,0.004255181,0.00013633355,0.0002876396,0.00036828805,0.00015613761,0.15930308],"genre_scores_gemma":[0.9858482,0.0012555418,0.0054703197,0.000034244396,0.0000074815443,0.00003187761,0.00006374516,0.000008833844,0.0072796387],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991296,0.00035124118,0.00006488934,0.00006147397,0.00029628898,0.000096444106],"domain_scores_gemma":[0.99935406,0.00021731167,0.00013997324,0.000048019443,0.00015577274,0.000084850464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013631955,0.00021498775,0.00016260533,0.0016709834,0.001029089,0.0037527725,0.0005918494,0.0003238731,0.0027786368],"category_scores_gemma":[0.0017094461,0.00016182083,0.00018281021,0.0030699084,0.00051572925,0.0019654012,0.0008581934,0.0004720573,0.00030488757],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002024926,0.00062535214,0.092889346,0.00075191807,0.000054588992,0.0009526693,0.0089976555,0.038452294,0.0015564978,0.28236312,0.014254742,0.5588994],"study_design_scores_gemma":[0.0000592729,0.0005017317,0.19512233,0.0011651097,0.00020791352,0.0011879115,0.072585985,0.38215053,0.005671145,0.14369355,0.19739631,0.00025818683],"about_ca_topic_score_codex":0.013100491,"about_ca_topic_score_gemma":0.030107941,"teacher_disagreement_score":0.013100491,"about_ca_system_score_codex":0.004252539,"about_ca_system_score_gemma":0.0050083706,"threshold_uncertainty_score":0.030854464},"labels":[],"label_agreement":null},{"id":"W2988651303","doi":"10.5430/ijfr.v11n1p197","title":"Remittances and Economic Growth Tie in Selected South Asian Countries: A Panel Data Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remittance; Economics; Causality (physics); Granger causality; Panel data; Development economics; Estimation; South asia; Macroeconomics; International economics; Economic growth; Econometrics","score_opus":0.06117352769341397,"score_gpt":0.40237016580869256,"score_spread":0.34119663811527856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988651303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496484,0.0001926811,0.00030002923,0.0001602974,0.0000090055355,0.00000920287,0.003089209,0.0000065234976,0.0012681971],"genre_scores_gemma":[0.9927442,0.0002349555,0.00023972351,0.000031379062,0.0000114407785,0.000018988636,0.005731874,0.0000034471561,0.0009839663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997701,0.00008291238,0.000025491565,0.00004084362,0.00002797128,0.00005265634],"domain_scores_gemma":[0.9989341,0.00032368608,0.00041994243,0.000074931224,0.00014165565,0.00010565203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065755966,0.00021913575,0.00022349478,0.00072426855,0.00028132106,0.0006218478,0.00024810422,0.00025980518,0.0021078235],"category_scores_gemma":[0.0009904957,0.00013433225,0.0007442548,0.0014912382,0.0001857829,0.0003607178,0.0004923597,0.00080737623,0.00040557206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060559938,0.000053522657,0.9925056,0.00003580763,0.00020888686,0.00025260926,0.00044721327,0.00189762,0.00015641816,0.0003545505,0.0012491727,0.0027780463],"study_design_scores_gemma":[0.0000064605474,0.00008544722,0.9892023,0.0000370311,0.00014605412,0.00010718003,0.0023471646,0.0045129578,0.00039174405,0.00016892205,0.0029792269,0.000015562711],"about_ca_topic_score_codex":0.020749414,"about_ca_topic_score_gemma":0.02527844,"teacher_disagreement_score":0.020749414,"about_ca_system_score_codex":0.000352106,"about_ca_system_score_gemma":0.00041564333,"threshold_uncertainty_score":0.041257262},"labels":[],"label_agreement":null},{"id":"W2989137159","doi":"10.5430/ijfr.v11n1p220","title":"Investigating the Efficiency of GCC Banking Sector: An Empirical Comparison of Islamic and Conventional Banks","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Saud University","keywords":"Data envelopment analysis; Business; Islamic banking; Banking industry; Scope (computer science); Financial system; Retail banking; Corporate governance; Capital (architecture); Prudence; Islam; Accounting; Industrial organization; Finance; Computer science","score_opus":0.07389589448210267,"score_gpt":0.3874060236670302,"score_spread":0.31351012918492754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989137159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989084,0.000106337895,0.00006828697,0.00003227661,0.0000011062928,0.000004454981,0.00018310043,0.0000021171807,0.0006939844],"genre_scores_gemma":[0.99911016,0.000119209006,0.000094641466,0.000012229652,0.000004452724,0.0000031908007,0.0004371124,0.0000014765423,0.00021745077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991967,0.00017740096,0.00011965707,0.000112300906,0.00019779318,0.00019598797],"domain_scores_gemma":[0.992539,0.0018779456,0.0032848895,0.0003327315,0.0014788151,0.00048664887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014998834,0.0002315941,0.00026868438,0.0028358744,0.00030228036,0.0015060469,0.00025227235,0.00039106156,0.0013322376],"category_scores_gemma":[0.0050789528,0.000119016084,0.00028386986,0.0041599222,0.00075384905,0.0010044139,0.0008699594,0.00034976672,0.0004199348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061059145,0.00003731272,0.9922144,0.000022342188,0.000050595918,0.00010438893,0.0006054514,0.001319103,0.00020510137,0.00040003986,0.00022695445,0.00475326],"study_design_scores_gemma":[0.0000034450682,0.000062960404,0.99457955,0.000027769676,0.000023946557,0.000113679554,0.0024462498,0.0018289416,0.0002185671,0.00013205636,0.00055624376,0.0000066949237],"about_ca_topic_score_codex":0.015781125,"about_ca_topic_score_gemma":0.013361717,"teacher_disagreement_score":0.015781125,"about_ca_system_score_codex":0.0008543135,"about_ca_system_score_gemma":0.00063155364,"threshold_uncertainty_score":0.031378567},"labels":[],"label_agreement":null},{"id":"W2989846259","doi":"10.5430/ijfr.v11n1p307","title":"Countertrade Mechanism of Global Arms Trade: Case Study of Indonesia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"International trade; Procurement; Business; Payment; Defense industry; Honor; Position (finance); Function (biology); Commerce; Economics; Marketing; Finance","score_opus":0.09428072905294532,"score_gpt":0.3711675640595987,"score_spread":0.2768868350066534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989846259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9277333,0.001971602,0.00318785,0.001037249,0.000022905504,0.00017481207,0.00038013226,0.000027981376,0.06546419],"genre_scores_gemma":[0.990021,0.0013247936,0.0015810819,0.00011963303,0.000012672603,0.000051980318,0.00015887497,0.000011880016,0.0067181024],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9993087,0.00034326263,0.000043631084,0.00006948767,0.00009070736,0.00014434395],"domain_scores_gemma":[0.99822265,0.0011677667,0.00028719252,0.000102054866,0.00010507816,0.00011527686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014572187,0.0004267384,0.00054786424,0.0016257323,0.0020046427,0.0029180213,0.0010677609,0.0021850388,0.006240712],"category_scores_gemma":[0.0018407668,0.00025346456,0.0008438886,0.0030239813,0.0016164568,0.002572895,0.0015434662,0.0014608011,0.0005338712],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018343194,0.004299213,0.29137802,0.0028013876,0.00054403953,0.17482094,0.03834069,0.07487793,0.004771021,0.27379265,0.018873177,0.11366658],"study_design_scores_gemma":[0.0007484205,0.0015833571,0.26474655,0.0019258019,0.0010568346,0.03028267,0.24680579,0.17745489,0.0076207113,0.11299571,0.15439546,0.00038374474],"about_ca_topic_score_codex":0.014640001,"about_ca_topic_score_gemma":0.020072788,"teacher_disagreement_score":0.014640001,"about_ca_system_score_codex":0.0024886783,"about_ca_system_score_gemma":0.0011402457,"threshold_uncertainty_score":0.029109597},"labels":[],"label_agreement":null},{"id":"W2989967349","doi":"10.5430/ijfr.v11n1p361","title":"Does Financial Instability of Conventional Banks Affect Financial Stability of Islamic Banks in GCC Countries?","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial system; Profitability index; Islam; Granger causality; Financial stability; Cointegration; Stability (learning theory); Economics; Finance; Business; Monetary economics; Econometrics","score_opus":0.02531016160861166,"score_gpt":0.3172363215940321,"score_spread":0.29192615998542043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989967349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99836034,0.00025433162,0.000051952444,0.00026523796,0.000007148821,0.0000041073176,0.00022394356,0.0000021269807,0.0008308868],"genre_scores_gemma":[0.9993723,0.00015350536,0.000035237914,0.000029291818,0.000007781629,0.0000018171396,0.00020260467,7.961316e-7,0.0001967932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996474,0.00008077821,0.00004949264,0.00007068119,0.00006281135,0.000088944464],"domain_scores_gemma":[0.9959174,0.00085410115,0.0022003215,0.00012216636,0.00059141836,0.00031465213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067140965,0.00020871148,0.000184703,0.0010052286,0.00038086306,0.0012297004,0.0001840262,0.000460153,0.00265354],"category_scores_gemma":[0.0038014392,0.00011154327,0.00022483357,0.0013382176,0.0005887036,0.00066564843,0.0005261317,0.0005369137,0.00026755958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049069542,0.000021843945,0.99421257,0.000027782073,0.000047780184,0.00017502334,0.0006927363,0.00030176443,0.00011867885,0.0003309768,0.00037065148,0.0036510853],"study_design_scores_gemma":[0.0000029266735,0.00002723046,0.9963141,0.00003751734,0.00002913703,0.00006847219,0.0022625139,0.00055696175,0.00009764733,0.00017113813,0.00042687063,0.0000054604347],"about_ca_topic_score_codex":0.022469122,"about_ca_topic_score_gemma":0.02706248,"teacher_disagreement_score":0.022469122,"about_ca_system_score_codex":0.00066039176,"about_ca_system_score_gemma":0.0007904646,"threshold_uncertainty_score":0.04467672},"labels":[],"label_agreement":null},{"id":"W2989996095","doi":"10.5430/ijfr.v11n1p284","title":"Environmental Management Accounting, Islamic Social Reporting, and Corporate Governance Mechanism on Sharia-Approved Companies in Indonesia","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Waste Management and Recycling","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sharia; Accounting; Business; Corporate governance; Islam; Conformity; Stock exchange; Corporate social responsibility; Finance; Public relations; Law","score_opus":0.03940001995274736,"score_gpt":0.30488572300365163,"score_spread":0.26548570305090424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989996095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988644,0.00004401582,0.000010133665,0.0000982069,0.0000012644286,0.0000036657586,0.00000759103,4.980696e-7,0.00097021525],"genre_scores_gemma":[0.9996612,0.00007294061,0.000015869968,0.00001531491,0.0000019460995,0.0000019679153,0.000011702561,3.756301e-7,0.00021884157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888164,0.00039224216,0.00010278126,0.000080287944,0.00035502628,0.0001879681],"domain_scores_gemma":[0.98985076,0.0019727694,0.0063552815,0.00026342075,0.00089693867,0.00066077604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015084996,0.00013799712,0.00019766108,0.0009474574,0.001150996,0.0017606274,0.00031895202,0.00030152485,0.0013901242],"category_scores_gemma":[0.0038856056,0.00012413383,0.00014826197,0.0013245486,0.0010874574,0.0008338538,0.0007752964,0.00068067596,0.00012532748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053817137,0.0003306184,0.97860605,0.000025626787,0.000014749509,0.00063330226,0.009603353,0.00013742688,0.0002606121,0.0007145009,0.00033959447,0.009280296],"study_design_scores_gemma":[0.0000029494124,0.00006512116,0.9845916,0.000024143364,0.000008024089,0.000112190224,0.013918063,0.00036886055,0.00013213554,0.00009932709,0.00067060016,0.0000071435334],"about_ca_topic_score_codex":0.012274078,"about_ca_topic_score_gemma":0.020400334,"teacher_disagreement_score":0.012274078,"about_ca_system_score_codex":0.0014256048,"about_ca_system_score_gemma":0.0013746762,"threshold_uncertainty_score":0.0244053},"labels":[],"label_agreement":null},{"id":"W2990160861","doi":"10.5430/ijfr.v11n1p348","title":"Capital Flight and Domestic Investment in Nigeria: Evidence From ARDL Methodology","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital flight; Investment (military); Capital (architecture); Economics; Capital Consumption Allowance; Capital deepening; Distributed lag; Capital outflow; Macroeconomics; Monetary economics; Capital formation; International economics; Financial capital; Market economy; Human capital","score_opus":0.17754514712537423,"score_gpt":0.38578306282585584,"score_spread":0.2082379157004816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990160861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98930395,0.0023094728,0.0022743875,0.00059988257,0.00003460167,0.000016752074,0.0002908574,0.000014094653,0.005156028],"genre_scores_gemma":[0.9979267,0.0010534563,0.00023072476,0.00003098141,0.000013713856,0.00000661731,0.00021184533,0.0000025451127,0.0005233989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898654,0.0004852773,0.000085239386,0.00012390577,0.00011743218,0.00020158997],"domain_scores_gemma":[0.9870199,0.008678596,0.0030803976,0.00034924372,0.00047125586,0.00040068172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021901242,0.00035685956,0.0003816852,0.0010369206,0.000450107,0.0017112007,0.00037237103,0.00047121276,0.0019339711],"category_scores_gemma":[0.0069176746,0.0002232988,0.00053327816,0.0013678364,0.0010624673,0.001100968,0.0010702151,0.0011890125,0.00026746062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028498896,0.00021011605,0.94960606,0.00014565921,0.00019725235,0.001080577,0.0009079558,0.009663674,0.00020993796,0.014816446,0.0010422773,0.021834973],"study_design_scores_gemma":[0.000071434275,0.00068853603,0.893288,0.0004517188,0.00042080897,0.00069896283,0.0060257586,0.06901179,0.0015640385,0.018925762,0.008790639,0.00006254081],"about_ca_topic_score_codex":0.013796449,"about_ca_topic_score_gemma":0.010407347,"teacher_disagreement_score":0.013796449,"about_ca_system_score_codex":0.0009494727,"about_ca_system_score_gemma":0.0009225295,"threshold_uncertainty_score":0.027432263},"labels":[],"label_agreement":null},{"id":"W2990370532","doi":"10.5430/ijfr.v11n1p318","title":"Predicting Likelihood for Loan Default Among Bank Borrowers","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Malaysia Pahang","keywords":"Microfinance; Loan; Poverty; Default; Commit; Business; Non-performing loan; Economics; Financial system; Finance; Economic growth","score_opus":0.04551295997526949,"score_gpt":0.3308498390666429,"score_spread":0.2853368790913734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990370532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689305,0.00018829668,0.00009639042,0.00045113798,0.000009966718,0.000018416797,0.00091315596,0.000013134455,0.0014164218],"genre_scores_gemma":[0.9979067,0.00018883016,0.00011409782,0.000040364153,0.000016080194,0.00001370226,0.0008213089,0.000001890361,0.00089706294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955934,0.00010063943,0.00009201918,0.00006317652,0.00008467355,0.000100078956],"domain_scores_gemma":[0.99577963,0.0010254423,0.0018747597,0.00013985646,0.000433835,0.00074645935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007316414,0.00019825377,0.0002118084,0.0014549424,0.0004959478,0.0009943557,0.00036656664,0.0007213366,0.009561079],"category_scores_gemma":[0.0052863266,0.0001966246,0.0004009123,0.0011527862,0.00033135034,0.00070357334,0.0005719711,0.0010770352,0.0016849483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029174857,0.00006739369,0.9978416,0.000008657189,0.000006110951,0.00005151606,0.00006116155,0.00007804328,0.000023643559,0.000031335298,0.00040199896,0.0013993938],"study_design_scores_gemma":[0.0000038862495,0.00007076685,0.9971631,0.000026051053,0.000015133014,0.0001997433,0.000759384,0.0011918378,0.000061119375,0.00008772858,0.00041474268,0.0000065059967],"about_ca_topic_score_codex":0.009383335,"about_ca_topic_score_gemma":0.007919986,"teacher_disagreement_score":0.009561079,"about_ca_system_score_codex":0.00039655837,"about_ca_system_score_gemma":0.00043413465,"threshold_uncertainty_score":0.031985044},"labels":[],"label_agreement":null},{"id":"W2990375461","doi":"10.5430/ijfr.v11n1p381","title":"The Effects of Financial and Political Risks on Economic Risk in Southern European Countries: A Dynamic Panel Analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cointegration; Economics; Panel data; Politics; Econometrics; Political science","score_opus":0.02932224471512043,"score_gpt":0.2975918113881594,"score_spread":0.268269566673039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990375461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977666,0.00026908267,0.0008346248,0.00009713507,0.0000058642936,0.0000042641923,0.00040645132,0.0000069232296,0.0006090676],"genre_scores_gemma":[0.9978029,0.00020685367,0.0003122057,0.000020258412,0.000013233615,0.000008479511,0.0012044485,0.0000020864807,0.00042950356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989899,0.0004902387,0.000070113834,0.00020091409,0.00011823222,0.00013050286],"domain_scores_gemma":[0.99615484,0.0017460597,0.0013297029,0.000301882,0.00027532555,0.00019221316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017896949,0.00040884095,0.00062070147,0.0008417006,0.00029406647,0.0012411665,0.00026415597,0.0006195723,0.0019859606],"category_scores_gemma":[0.003520301,0.00022976792,0.0009826388,0.0016789105,0.00032540606,0.00064475887,0.00088543276,0.0008348961,0.00020735948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031732416,0.000103807666,0.96033347,0.000033380686,0.0008044131,0.0004881044,0.00037535385,0.026118686,0.0007823162,0.0018463747,0.00061130204,0.008185459],"study_design_scores_gemma":[0.000024172665,0.00018017377,0.96686804,0.00003047106,0.0003894906,0.00012869,0.0005195769,0.027703151,0.00060623133,0.0013274424,0.002187588,0.00003493324],"about_ca_topic_score_codex":0.011311685,"about_ca_topic_score_gemma":0.009690238,"teacher_disagreement_score":0.011311685,"about_ca_system_score_codex":0.00034213913,"about_ca_system_score_gemma":0.0003535751,"threshold_uncertainty_score":0.022491693},"labels":[],"label_agreement":null},{"id":"W2990488855","doi":"10.5430/ijfr.v11n1p329","title":"Capital and Liquidity Risks and Financial Stability: Pre, During and Post Financial Crisis Between Islamic and Conventional Banks in GCC Countries, in the Light of Oil Prices Decline","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Financial crisis; Economics; Financial system; Liquidity risk; Panel data; Liquidity crisis; Monetary economics; Capital adequacy ratio; Business; Macroeconomics; Econometrics","score_opus":0.030653101855810334,"score_gpt":0.3150919494945013,"score_spread":0.284438847638691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990488855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991166,0.00015766393,0.000018417977,0.000111615635,0.0000029986713,0.0000023115476,0.00011602383,0.0000011063408,0.00047318896],"genre_scores_gemma":[0.9995602,0.000096769225,0.000015240183,0.000017824868,0.0000047955086,0.0000016817677,0.00014003496,4.781669e-7,0.00016303423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996722,0.00006661144,0.000041902233,0.000064118634,0.00006190446,0.000093322495],"domain_scores_gemma":[0.99725693,0.0005432109,0.00157804,0.000059135567,0.00029308378,0.0002696108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987662,0.00020223834,0.00017667134,0.00078669115,0.00035500838,0.0012367765,0.00016796427,0.00043704745,0.0015269221],"category_scores_gemma":[0.0027309242,0.000108660206,0.00024606858,0.0010077236,0.00052517117,0.00071859185,0.00062413205,0.0006085226,0.00014348257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010249244,0.00002847087,0.99499434,0.000017883514,0.000041435538,0.00025789608,0.0011108916,0.0002895588,0.00015706061,0.00022162893,0.00024451807,0.0025338293],"study_design_scores_gemma":[0.0000021952783,0.000033556316,0.9970897,0.000020083058,0.000015537718,0.00007036064,0.002167642,0.0002531159,0.000075846394,0.00006996539,0.0001972062,0.0000047914455],"about_ca_topic_score_codex":0.022820197,"about_ca_topic_score_gemma":0.02867571,"teacher_disagreement_score":0.022820197,"about_ca_system_score_codex":0.0006213742,"about_ca_system_score_gemma":0.0006780189,"threshold_uncertainty_score":0.04537475},"labels":[],"label_agreement":null},{"id":"W2991160705","doi":"10.5430/ijfr.v11n1p373","title":"Management Compensation, Gender Diversification, and Executive Preferences on Tax Avoidance of IDX Manufacturing Companies","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Executive compensation; Business; Diversification (marketing strategy); Stock exchange; Tax avoidance; Accounting; Compensation (psychology); Marketing; Psychology; Finance; Double taxation; Corporate governance; Social psychology","score_opus":0.07234475192295173,"score_gpt":0.3132520865986883,"score_spread":0.24090733467573658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991160705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992524,0.000043608823,0.000020215142,0.00003360576,0.0000010172371,0.0000013840798,0.00002639241,2.523449e-7,0.0006210794],"genre_scores_gemma":[0.9995654,0.000027251977,0.000021218095,0.000008493347,0.0000018270804,8.904605e-7,0.000038960305,1.6562865e-7,0.00033579316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973935,0.00007142634,0.000022287122,0.00002912444,0.00007788932,0.00005986756],"domain_scores_gemma":[0.99781466,0.00033434154,0.0014123139,0.00006367755,0.00010659205,0.00026847832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005410124,0.00012611655,0.000118976604,0.00042453603,0.00033847764,0.0006119218,0.00009178937,0.00015143318,0.0023663333],"category_scores_gemma":[0.0016136582,0.000050632545,0.0001244924,0.00037385727,0.00017556352,0.0002496504,0.000327733,0.00028106716,0.000203004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033041197,0.000041303738,0.99546635,0.0000051706766,0.000013415705,0.000052708918,0.00042834337,0.00006365814,0.00018056172,0.00008392768,0.00006995942,0.003561449],"study_design_scores_gemma":[6.693532e-7,0.000019507843,0.998747,0.0000044086737,0.000003140226,0.00002887519,0.00083596533,0.000073749514,0.00005326258,0.000031517873,0.00020051615,0.0000014219848],"about_ca_topic_score_codex":0.0035112365,"about_ca_topic_score_gemma":0.009386372,"teacher_disagreement_score":0.0035112365,"about_ca_system_score_codex":0.00027492005,"about_ca_system_score_gemma":0.00025884266,"threshold_uncertainty_score":0.0079161525},"labels":[],"label_agreement":null},{"id":"W2991536356","doi":"10.5430/ijfr.v11n1p293","title":"Implementation of Social Culture in Corporate Governance: A Literature Study","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Indonesian; Corporate governance; Accountability; Transparency (behavior); Accounting; Business; Audit; Corporate social responsibility; Index (typography); Organizational culture; Public relations; Political science; Computer science; Law; Finance","score_opus":0.039727385759275764,"score_gpt":0.3544446866941878,"score_spread":0.31471730093491207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991536356","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48096147,0.31931436,0.003983296,0.025761293,0.00075014605,0.00014386061,0.00012457617,0.000018590164,0.16894239],"genre_scores_gemma":[0.90034646,0.09595293,0.0006932027,0.0012781407,0.0002582175,0.000050270253,0.000043642493,0.0000066457524,0.001370452],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976178,0.00137065,0.00017503674,0.00025128174,0.00040288293,0.00018229171],"domain_scores_gemma":[0.9900434,0.007131327,0.0013580425,0.00018456022,0.00091417576,0.00036846698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025178636,0.0002934856,0.00041181454,0.003979385,0.0022268053,0.005384527,0.0005696228,0.0012529053,0.001832225],"category_scores_gemma":[0.004603791,0.00025239456,0.00037282155,0.007208273,0.0054287966,0.004669212,0.0016793063,0.0013808156,0.00019026287],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065775486,0.0006720357,0.072514154,0.008005017,0.00016384006,0.0020595428,0.17611815,0.001131643,0.00044874108,0.34288388,0.009607285,0.38632995],"study_design_scores_gemma":[0.000021337219,0.00030643263,0.18524913,0.03814878,0.00023945564,0.0019196441,0.43382677,0.0028375234,0.00076963834,0.07081754,0.26571575,0.00014800191],"about_ca_topic_score_codex":0.0042229304,"about_ca_topic_score_gemma":0.0055651725,"teacher_disagreement_score":0.005384527,"about_ca_system_score_codex":0.003680446,"about_ca_system_score_gemma":0.00358688,"threshold_uncertainty_score":0.026703656},"labels":[],"label_agreement":null},{"id":"W2992375490","doi":"10.5430/ijfr.v11n1p405","title":"Internal Controls and Performance of Selected Tertiary Institutions in Ekiti State: A Committee of Sponsoring Organisations (COSO) Framework Approach","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; State (computer science); Control (management); Accounting; Business; Business administration; Management; Economics; Finance; Mathematics","score_opus":0.02538919733117478,"score_gpt":0.2968604082804455,"score_spread":0.27147121094927074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992375490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876231,0.00042581063,0.0013229132,0.0010502263,0.000033583594,0.00024357383,0.00013115708,0.0000117818245,0.009157939],"genre_scores_gemma":[0.9989814,0.00012601838,0.00040833265,0.00005090292,0.0000088525885,0.000042219446,0.00005029971,0.0000015624079,0.00033047263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9871336,0.00570194,0.0012132613,0.00074430107,0.003310048,0.001896835],"domain_scores_gemma":[0.964413,0.008985446,0.013781541,0.0010579389,0.0066609215,0.0051010503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01219724,0.00042552524,0.0003361002,0.00384342,0.0017892835,0.004504938,0.00068636076,0.00061870983,0.001473402],"category_scores_gemma":[0.015538315,0.0001720171,0.00039352305,0.0034014096,0.0025071548,0.00097228406,0.002880318,0.0007650611,0.00013378475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010165307,0.00033507677,0.9487064,0.0001836761,0.00014650333,0.0002152285,0.006998174,0.0012728277,0.0005656128,0.004732741,0.0010909139,0.035651214],"study_design_scores_gemma":[0.000012077113,0.00027880014,0.97682333,0.00018589673,0.000042190186,0.00006634752,0.016303116,0.0014846578,0.00047198863,0.00075064343,0.003538963,0.00004215664],"about_ca_topic_score_codex":0.020584028,"about_ca_topic_score_gemma":0.024125483,"teacher_disagreement_score":0.020584028,"about_ca_system_score_codex":0.0069338894,"about_ca_system_score_gemma":0.011344101,"threshold_uncertainty_score":0.064505935},"labels":[],"label_agreement":null},{"id":"W2993971530","doi":"10.5430/ijfr.v11n1p394","title":"The Effect of Financial Ratios Derived From Operating Cash Flows on Jordanian Commercial Banks Earnings per Share","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Operating cash flow; Cash flow; Cash on cash return; Cash flow statement; Business; Earnings before interest and taxes; Cash and cash equivalents; Net income; Earnings; Cash management; Cash flow forecasting; Finance; Monetary economics; Financial system; Economics","score_opus":0.021139547830090054,"score_gpt":0.30901775882362553,"score_spread":0.2878782109935355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993971530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977036,0.00020018272,0.0000706397,0.000100066696,0.000008159602,0.000006011065,0.0001074778,0.0000060583843,0.0017976542],"genre_scores_gemma":[0.9984126,0.00017277693,0.00010751048,0.00002280828,0.000016345222,0.0000047966773,0.00015225336,0.0000033379517,0.0011074889],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917406,0.00027116234,0.00006875288,0.00012212236,0.00022747935,0.00013644472],"domain_scores_gemma":[0.99001163,0.0033567087,0.0039764764,0.00022007304,0.0016682164,0.0007669307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013531208,0.0003674375,0.00019470339,0.000978957,0.00032892716,0.0012481884,0.00028434792,0.00026346178,0.0036949485],"category_scores_gemma":[0.008550538,0.00010786838,0.0003058069,0.0008100487,0.0003587313,0.00077939726,0.0004562635,0.0006042908,0.00064644445],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005104305,0.0003046615,0.96515036,0.000050568393,0.00014216123,0.0003720808,0.00059601496,0.0011571987,0.00078987394,0.0004237629,0.0006859867,0.029817007],"study_design_scores_gemma":[0.0000076024608,0.00026270846,0.99569416,0.000020903028,0.000047729103,0.00007058219,0.0013465682,0.0009328616,0.00054542645,0.00011927175,0.00094176916,0.00001043227],"about_ca_topic_score_codex":0.0067103407,"about_ca_topic_score_gemma":0.007734235,"teacher_disagreement_score":0.0067103407,"about_ca_system_score_codex":0.00069916056,"about_ca_system_score_gemma":0.00090142956,"threshold_uncertainty_score":0.013342559},"labels":[],"label_agreement":null},{"id":"W2994052897","doi":"10.5430/ijfr.v11n1p425","title":"Advocacy of Competition in the Mechanism of State Regulation of the Economy","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Competition (biology); Transparency (behavior); Monopoly; State (computer science); Order (exchange); Business; Position (finance); Mechanism (biology); Language change; Economics; Market economy; Economic system; Industrial organization; Political science; Law","score_opus":0.049993154948375924,"score_gpt":0.3201547056788362,"score_spread":0.2701615507304603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994052897","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2156288,0.0034389999,0.08644612,0.018635925,0.0004436095,0.0004487139,0.000105777224,0.0001040178,0.67474806],"genre_scores_gemma":[0.98593456,0.00039419776,0.0062937196,0.000753818,0.000044839715,0.00014198999,0.000015530337,0.000011449321,0.0064099007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.982546,0.010362058,0.00073948177,0.0017200691,0.0030464681,0.0015859285],"domain_scores_gemma":[0.99242276,0.0033547955,0.001792493,0.0009060181,0.0011729061,0.00035113806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009816902,0.00025531903,0.00045440643,0.002298675,0.005959693,0.009145739,0.0008231853,0.0023310138,0.004177316],"category_scores_gemma":[0.008985772,0.0002726829,0.00061230216,0.0017593472,0.019590277,0.004214395,0.0050587645,0.002400133,0.00031604647],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015367279,0.00002524461,0.0025396717,0.000083561565,0.000015234301,0.000119959586,0.0071951835,0.0003835201,0.000426091,0.9803207,0.00052737363,0.008348184],"study_design_scores_gemma":[0.000046575024,0.00025813899,0.022500463,0.00092476903,0.00011732198,0.000647353,0.019522948,0.003918352,0.0036417656,0.7209425,0.22736153,0.000118280936],"about_ca_topic_score_codex":0.005832629,"about_ca_topic_score_gemma":0.0047810655,"teacher_disagreement_score":0.009816902,"about_ca_system_score_codex":0.007039695,"about_ca_system_score_gemma":0.011410004,"threshold_uncertainty_score":0.051917374},"labels":[],"label_agreement":null},{"id":"W2994321821","doi":"10.5430/ijfr.v11n1p417","title":"Mobile Money, Financial Inclusion and Digital Payment: The Case of Vietnam","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh","keywords":"Mobile payment; Financial inclusion; Financial transaction; Business; Database transaction; Payment; Cash; Intermediary; Financial intermediary; Payment service provider; Financial services; Financial system; Digital currency; Mobile banking; Service (business); Commerce; Finance; Marketing","score_opus":0.03259499653495219,"score_gpt":0.31962007039597906,"score_spread":0.2870250738610269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994321821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99075985,0.00048307166,0.000077762204,0.00082923414,0.0000075215726,0.000013813169,0.000062073275,0.000001123782,0.0077654268],"genre_scores_gemma":[0.9965063,0.0010044257,0.0001234602,0.000067901456,0.000005323274,0.000007705996,0.000049642815,0.000002312595,0.0022330054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996439,0.00013344652,0.000011839626,0.00001995354,0.000032271524,0.00015854271],"domain_scores_gemma":[0.9992601,0.0003017167,0.00014080486,0.000018898882,0.00008444566,0.0001939726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004962324,0.00016167139,0.00021894819,0.00091592304,0.002330964,0.0023219956,0.00040046597,0.000567027,0.0037833147],"category_scores_gemma":[0.0011523184,0.00014780801,0.00015763425,0.002339981,0.0011663635,0.001789057,0.0012925749,0.00079090835,0.00019925968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002502126,0.00090049783,0.4936527,0.0005781068,0.000059245205,0.07068822,0.2845564,0.0015508321,0.0010609375,0.086345315,0.0049941903,0.05536335],"study_design_scores_gemma":[0.000025584684,0.0001726134,0.25612,0.00052226166,0.000042410356,0.006458676,0.68800366,0.0033116655,0.0004470616,0.004081458,0.040766254,0.000048303194],"about_ca_topic_score_codex":0.15007037,"about_ca_topic_score_gemma":0.14289273,"teacher_disagreement_score":0.15007037,"about_ca_system_score_codex":0.002738072,"about_ca_system_score_gemma":0.0018041553,"threshold_uncertainty_score":0.29839373},"labels":[],"label_agreement":null},{"id":"W2995172290","doi":"10.5430/ijfr.v11n1p447","title":"Inflation Thresholds and Stock Market Development: Evidence of the Nonlinear Nexus From an Emerging Economy","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Nexus (standard); Stock market; Threshold model; Inflation (cosmology); Stock (firearms); Monetary economics; Econometrics; Macroeconomics","score_opus":0.052167525590811344,"score_gpt":0.3464452009939144,"score_spread":0.29427767540310307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995172290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839205,0.00018952273,0.00028610067,0.0001798187,0.0000021801495,0.0000030586937,0.000075032396,0.0000041026683,0.00086827285],"genre_scores_gemma":[0.99947935,0.00011843668,0.00006391214,0.00001686753,0.000006217805,0.0000014752576,0.00013475267,0.0000013173561,0.00017773721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999681,0.00009401365,0.000042644948,0.000058743994,0.00006223887,0.000061446626],"domain_scores_gemma":[0.99444747,0.0019124604,0.0025202553,0.00021274867,0.00045696695,0.00045008233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009904394,0.00016575468,0.00028617555,0.0007592808,0.00024692662,0.0012729609,0.0003039313,0.000321443,0.0020586445],"category_scores_gemma":[0.004201751,0.0001749097,0.00043047237,0.00096123765,0.0004894219,0.0010005801,0.0010275582,0.0007819627,0.00031080452],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001119175,0.000059112135,0.9916733,0.00002746674,0.00007620495,0.00032984477,0.00037640438,0.0010849071,0.00033586653,0.0015776939,0.00019233729,0.004155003],"study_design_scores_gemma":[0.000012834724,0.00007745867,0.9855251,0.000021834934,0.000081155005,0.000136723,0.0011917076,0.009919094,0.0003458246,0.0020404132,0.00063544797,0.000012384088],"about_ca_topic_score_codex":0.0072059766,"about_ca_topic_score_gemma":0.007777743,"teacher_disagreement_score":0.0072059766,"about_ca_system_score_codex":0.00036829585,"about_ca_system_score_gemma":0.0006418656,"threshold_uncertainty_score":0.0143280625},"labels":[],"label_agreement":null},{"id":"W2996436454","doi":"10.5430/ijfr.v11n1p462","title":"Capital Market Determinants and Market Capitalization in Nigeria","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exchange rate; Economics; Interest rate; Capitalization; Market capitalization; Gross domestic product; Monetary economics; Inflation (cosmology); Order (exchange); Capital market; Capital (architecture); Capital formation; Macroeconomics; Financial capital; Finance; Stock market; Market economy; Human capital","score_opus":0.035934039525716714,"score_gpt":0.30507887854907734,"score_spread":0.2691448390233606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996436454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99362177,0.0005499651,0.00007397057,0.0003019126,0.0000064083897,0.000008130569,0.00017780783,0.0000017090236,0.005258296],"genre_scores_gemma":[0.9992902,0.00021906954,0.000020587442,0.000009550504,0.000004078765,0.0000016282146,0.00005356609,4.3786295e-7,0.00040088056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988294,0.000019793837,0.000012839782,0.000015247139,0.000021061587,0.000047984646],"domain_scores_gemma":[0.99853194,0.00044405521,0.0007542897,0.000022497185,0.00011223808,0.00013494218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038519566,0.000109278575,0.00013886104,0.00069775706,0.00028502566,0.0011383459,0.00009763306,0.00017091596,0.0026351407],"category_scores_gemma":[0.0018034927,0.00008648051,0.0001206394,0.0008402791,0.00029997932,0.0007782424,0.00031924102,0.00036871317,0.00014022851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059734644,0.0000872192,0.9852958,0.000038379872,0.000020511003,0.0004826126,0.00068634405,0.000608611,0.00020949575,0.0044243517,0.0006246442,0.0074623534],"study_design_scores_gemma":[0.0000037379355,0.000028923132,0.99288696,0.00006697877,0.00001601463,0.00014748694,0.0016587385,0.0017437899,0.00020557735,0.0009230862,0.0023136905,0.0000049172536],"about_ca_topic_score_codex":0.014398296,"about_ca_topic_score_gemma":0.019534996,"teacher_disagreement_score":0.014398296,"about_ca_system_score_codex":0.00059345923,"about_ca_system_score_gemma":0.00054635695,"threshold_uncertainty_score":0.028629005},"labels":[],"label_agreement":null},{"id":"W2996600382","doi":"10.5430/ijfr.v11n1p434","title":"International Public Sector Accounting Standards (IPSAS) Adoption and Implementation in Nigerian Public Sector","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Comparability; Accounting; Credibility; Quality (philosophy); Business; Public sector; Economics; Political science; Law","score_opus":0.04077403894184395,"score_gpt":0.352918252096565,"score_spread":0.3121442131547211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996600382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971431,0.00013833558,0.00011148476,0.00038610827,0.000009879456,0.000017912602,0.000028002698,0.0000044748926,0.0021607885],"genre_scores_gemma":[0.99916995,0.00020721293,0.00022387544,0.000027919321,0.0000041280837,0.0000051422135,0.000022075661,0.0000010231053,0.0003385845],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966149,0.0012244135,0.00039339944,0.00018821702,0.0011235238,0.00045562838],"domain_scores_gemma":[0.9816929,0.0043086135,0.009045675,0.00080353714,0.003142239,0.0010069832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005257123,0.00015251509,0.00016361814,0.0011300052,0.00058391923,0.0019379826,0.0002632933,0.0002820693,0.000993927],"category_scores_gemma":[0.017010918,0.00018845087,0.00018295477,0.0013944289,0.0006413779,0.0013153822,0.00092113344,0.0007328423,0.00011230401],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009747537,0.00028431695,0.86972004,0.00017672962,0.000023856315,0.000345182,0.016577182,0.00036908194,0.0012775321,0.0014126509,0.00059135223,0.10912455],"study_design_scores_gemma":[0.00000417349,0.0002944143,0.9595552,0.00022454147,0.000022030252,0.00021843422,0.032154664,0.0006353359,0.00095753616,0.0002937406,0.0056191985,0.000020793195],"about_ca_topic_score_codex":0.009038191,"about_ca_topic_score_gemma":0.0118532665,"teacher_disagreement_score":0.009038191,"about_ca_system_score_codex":0.0018444615,"about_ca_system_score_gemma":0.0032553247,"threshold_uncertainty_score":0.027802706},"labels":[],"label_agreement":null},{"id":"W3010764834","doi":"10.5430/ijfr.v11n2p358","title":"Governance Effect of Board of Directors on Banking Performance: Evidence From Tunisia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Return on assets; Corporate governance; Business; Sample (material); Accounting; Financial system; Test (biology); Economics; Econometrics; Monetary economics; Finance","score_opus":0.048942550693225985,"score_gpt":0.3301451308749979,"score_spread":0.2812025801817719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010764834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563545,0.0015076754,0.000036416237,0.0005449693,0.000010969731,0.0000053705953,0.00022182206,0.000002369251,0.0020349696],"genre_scores_gemma":[0.99845695,0.00063662906,0.000029895513,0.000093234485,0.000028580249,0.0000039912757,0.00019087647,0.0000015476572,0.00055824773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903023,0.00036925162,0.00007954835,0.000135094,0.00015803959,0.00022782998],"domain_scores_gemma":[0.99215275,0.001931922,0.004148351,0.00021884478,0.00088135,0.00066676707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001896642,0.00024414202,0.0002628987,0.0013191955,0.000595566,0.001419681,0.00030813355,0.0004388213,0.003704193],"category_scores_gemma":[0.0045426474,0.00014119806,0.00025755074,0.001852085,0.0006504373,0.00063056214,0.000577843,0.00044751586,0.00034674598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001850656,0.00015354101,0.9812541,0.00008639309,0.00014063052,0.00031005012,0.0010963337,0.00020655408,0.00020347726,0.0003611541,0.0010347244,0.014968002],"study_design_scores_gemma":[0.000007954593,0.000051928215,0.9968028,0.00005440406,0.000040100887,0.000052343083,0.0012482518,0.00012628302,0.0000725439,0.00003332813,0.0015067197,0.0000032805624],"about_ca_topic_score_codex":0.057736475,"about_ca_topic_score_gemma":0.07022281,"teacher_disagreement_score":0.057736475,"about_ca_system_score_codex":0.0014799329,"about_ca_system_score_gemma":0.0009654215,"threshold_uncertainty_score":0.11480087},"labels":[],"label_agreement":null},{"id":"W3010780561","doi":"10.5430/ijfr.v11n2p301","title":"Fair Value Accounting and Corporate Reporting in Nigeria: A Logistics Regression Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Audit; Business; Logistic regression; Fair value; Earnings; Reliability (semiconductor); Value (mathematics); Regression analysis; Actuarial science; Statistics","score_opus":0.09853103299697726,"score_gpt":0.33645658242060905,"score_spread":0.2379255494236318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010780561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663293,0.002311444,0.020824617,0.001231279,0.000113936345,0.00021140996,0.00050764426,0.00010931131,0.008361103],"genre_scores_gemma":[0.9938007,0.00071744074,0.003321789,0.00004264942,0.00004913545,0.000058141883,0.0002446826,0.000013865875,0.001751536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937955,0.0038593484,0.00038601176,0.0005590899,0.00078774296,0.0006123696],"domain_scores_gemma":[0.9604363,0.031157136,0.0054306057,0.0008319876,0.0016195169,0.00052444113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008358904,0.0008077241,0.0007904322,0.0043251175,0.0009975937,0.0036733623,0.0008437712,0.0007074882,0.003289629],"category_scores_gemma":[0.031129587,0.00046631324,0.0017967288,0.004362233,0.0011040363,0.002278989,0.0017647385,0.0018931906,0.00045822552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001786945,0.000377958,0.93753487,0.00015643657,0.0005299716,0.0011909901,0.0014352606,0.014188128,0.0001966352,0.008657678,0.0008214077,0.03473203],"study_design_scores_gemma":[0.00004516138,0.001069819,0.62606937,0.00082374044,0.001092695,0.0016080353,0.010263858,0.33205476,0.0013008997,0.016679775,0.008836224,0.00015559437],"about_ca_topic_score_codex":0.024156956,"about_ca_topic_score_gemma":0.009527897,"teacher_disagreement_score":0.024156956,"about_ca_system_score_codex":0.0016162359,"about_ca_system_score_gemma":0.0025049592,"threshold_uncertainty_score":0.0480327},"labels":[],"label_agreement":null},{"id":"W3010803880","doi":"10.5430/ijfr.v11n2p14","title":"The Mediating Effect of Intellectual Capital Disclosure Between Firm Characteristics and Firm Value: Empirical Evidence From Indonesian Company With Non-recursive Model Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intellectual capital; Value (mathematics); Business; Indonesian; Enterprise value; Accounting; Capital call; Perception; Human capital; Economics; Individual capital; Economic capital; Finance; Psychology; Market economy","score_opus":0.06893351606938171,"score_gpt":0.34118067974379823,"score_spread":0.27224716367441654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010803880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967661,0.00016746247,0.00069962797,0.00014801542,0.0000023176824,0.00000945064,0.000050062878,0.0000052877162,0.0021517097],"genre_scores_gemma":[0.9994704,0.00008668084,0.00014993169,0.00001021395,0.0000030129104,0.0000028606573,0.000051174527,0.0000012583945,0.00022445613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985001,0.0006097956,0.00013519575,0.00027357112,0.0002653419,0.00021597299],"domain_scores_gemma":[0.9704918,0.022178736,0.004788894,0.0013266978,0.00084750896,0.00036628873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002902719,0.00033478218,0.00062078016,0.0008408758,0.0006228084,0.002329956,0.0006209556,0.0005946468,0.003764006],"category_scores_gemma":[0.01376971,0.00024363,0.00063474104,0.00088796276,0.00076747814,0.0018284398,0.0010751648,0.00088791235,0.0003109945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028780173,0.0005883721,0.9549782,0.00015171002,0.00034039782,0.0018024613,0.0029245717,0.0058670184,0.0007165082,0.0076459986,0.00038271208,0.024314197],"study_design_scores_gemma":[0.00006420789,0.00039981067,0.88526994,0.00014601687,0.00072662317,0.00097207335,0.0055515678,0.0921265,0.0016041107,0.011166184,0.0019119147,0.00006112373],"about_ca_topic_score_codex":0.008951442,"about_ca_topic_score_gemma":0.0067628995,"teacher_disagreement_score":0.008951442,"about_ca_system_score_codex":0.0007914773,"about_ca_system_score_gemma":0.0009526577,"threshold_uncertainty_score":0.017798722},"labels":[],"label_agreement":null},{"id":"W3010835395","doi":"10.5430/ijfr.v11n2p61","title":"Firm Size, Profitability, Leverage as Determinants of Audit Report Lag: Evidence From Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Leverage (statistics); Stock exchange; Business; Audit; Lag; Accounting; Auditor's report; Sample (material); Finance; Statistics; Computer science","score_opus":0.10675182630950499,"score_gpt":0.360039962967387,"score_spread":0.253288136657882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010835395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99721813,0.000491781,0.000095869684,0.00023477316,0.000008353975,0.0000055299565,0.00021966065,0.00000473083,0.001721284],"genre_scores_gemma":[0.99930894,0.00027789088,0.000035910707,0.000025307889,0.0000076592,0.0000015691419,0.00015955695,0.0000019053333,0.0001813633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993063,0.00015944472,0.000091460424,0.000100841244,0.00021556808,0.00012631221],"domain_scores_gemma":[0.983393,0.0048879515,0.009184697,0.00044002617,0.0010388488,0.0010553622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014634682,0.00015855137,0.00024536994,0.00095546106,0.00027045776,0.0013814528,0.00033075004,0.0002282356,0.0021135341],"category_scores_gemma":[0.005331404,0.00017477132,0.00025913873,0.0016877,0.00049175863,0.0007629185,0.0005230677,0.0006703377,0.00033719736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039461138,0.000072964904,0.9953093,0.000023830078,0.000023028897,0.0001450823,0.0002231153,0.00006553687,0.000050183353,0.000070812195,0.00025684354,0.0037197978],"study_design_scores_gemma":[0.0000023173588,0.000024764175,0.9982963,0.000023397577,0.000024526718,0.00008751507,0.00075089984,0.00025510576,0.000081711376,0.000043783144,0.00040638197,0.0000032346982],"about_ca_topic_score_codex":0.017139494,"about_ca_topic_score_gemma":0.022408925,"teacher_disagreement_score":0.017139494,"about_ca_system_score_codex":0.00048838893,"about_ca_system_score_gemma":0.0010364628,"threshold_uncertainty_score":0.034079492},"labels":[],"label_agreement":null},{"id":"W3010896928","doi":"10.5430/ijfr.v11n2p1","title":"Inquiry Into the Moroccan Private Equity Industry: A Proposal of an Adapted Value Creation Framework","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Database transaction; Equity (law); Context (archaeology); Transaction cost; Value (mathematics); Private equity; Value creation; Business; Order (exchange); Marketing; Economics; Accounting; Industrial organization; Finance; Computer science; Political science; Law","score_opus":0.11648744197215422,"score_gpt":0.41281891742415916,"score_spread":0.29633147545200494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010896928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62273526,0.004585197,0.058196306,0.050029825,0.00015541847,0.0013567397,0.000531805,0.000064980806,0.26234445],"genre_scores_gemma":[0.98586744,0.0005532749,0.009694816,0.00077577005,0.000029930558,0.0002887801,0.000076603006,0.0000068665536,0.0027064607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975883,0.001741291,0.00007216727,0.00016648848,0.000118333955,0.00031339965],"domain_scores_gemma":[0.9972011,0.001895156,0.0002770108,0.000100764395,0.00024670886,0.0002793371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003628066,0.0004932934,0.00034416103,0.0035844112,0.0051756334,0.008607101,0.0018562974,0.0024264327,0.0035050304],"category_scores_gemma":[0.004461815,0.0002854118,0.00036554228,0.0027416016,0.0137841785,0.007359218,0.0053508184,0.0019700655,0.0002596024],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000294839,0.000090819754,0.012454793,0.00019287274,0.0000067939322,0.0021182108,0.33608648,0.00041585407,0.000655979,0.62764233,0.0008447811,0.019461654],"study_design_scores_gemma":[0.00001620105,0.000059750833,0.02475107,0.000788028,0.000015480071,0.0008702899,0.70551705,0.0037480015,0.0002975134,0.20716396,0.056734093,0.00003864229],"about_ca_topic_score_codex":0.025264798,"about_ca_topic_score_gemma":0.027279953,"teacher_disagreement_score":0.025264798,"about_ca_system_score_codex":0.010562458,"about_ca_system_score_gemma":0.0062351106,"threshold_uncertainty_score":0.076636374},"labels":[],"label_agreement":null},{"id":"W3011018061","doi":"10.5430/ijfr.v11n2p323","title":"Impact of Foreign Direct Investment on the Financial Performance of Listed Deposit Banks in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Retained earnings; Business; Financial system; Equity (law); Debt; Finance; Variables; Monetary economics; Capital structure; Earnings; Debt-to-equity ratio; Economics; Macroeconomics","score_opus":0.06034027304598377,"score_gpt":0.33003292727995,"score_spread":0.2696926542339662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011018061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676526,0.00067490566,0.000021310534,0.00023974331,0.000009434927,0.0000029330713,0.00014395324,0.0000013117343,0.002141258],"genre_scores_gemma":[0.9989675,0.00040325284,0.000021321535,0.000021541064,0.000008022714,0.000001412562,0.000092760354,4.519071e-7,0.00048373314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995353,0.000112997834,0.000065992004,0.000048388043,0.00010982091,0.00012743507],"domain_scores_gemma":[0.9957515,0.0009058913,0.002183126,0.000072282615,0.0006645212,0.00042260365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070038036,0.00018950045,0.00017898701,0.0008131872,0.0003667227,0.0015688945,0.00013005563,0.00034085003,0.0016242547],"category_scores_gemma":[0.0031772796,0.00007581231,0.00012596967,0.0010320924,0.00043267294,0.00063224416,0.00054975867,0.00047121863,0.00024898173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006309721,0.00005760417,0.99110645,0.00003697607,0.000019111461,0.00042131514,0.00052145537,0.00027532934,0.00017986743,0.00031584976,0.0002540428,0.0067489],"study_design_scores_gemma":[0.000002479826,0.0000576982,0.9962865,0.000056963432,0.000016137792,0.00020255276,0.0019339317,0.00027431955,0.00016784032,0.000095079,0.00090057414,0.0000059121726],"about_ca_topic_score_codex":0.011381296,"about_ca_topic_score_gemma":0.018003564,"teacher_disagreement_score":0.011381296,"about_ca_system_score_codex":0.0008678429,"about_ca_system_score_gemma":0.0008827654,"threshold_uncertainty_score":0.022630095},"labels":[],"label_agreement":null},{"id":"W3011141946","doi":"10.5430/ijfr.v11n2p111","title":"Uncovered Interest Rate Parity and Investment: A Tripartite Analysis of Nigeria, United States of America and China","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distributed lag; China; Economics; Unit root test; Unit root; Order (exchange); Investment (military); Granger causality; Causality (physics); Parity (physics); Cointegration; Econometrics; Development economics; Macroeconomics; Political science; Finance; Law","score_opus":0.09742039026895433,"score_gpt":0.32562502574141744,"score_spread":0.2282046354724631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011141946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961908,0.00024563156,0.00039364008,0.00011209362,0.000004216875,0.0000101933565,0.000105977415,0.000002547632,0.00293484],"genre_scores_gemma":[0.99903107,0.00016539312,0.00013813644,0.000010762916,0.0000031522495,0.0000069166235,0.00020176821,0.000001244506,0.00044154745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999666,0.00009592619,0.00003203966,0.000038929084,0.000072559575,0.000094594296],"domain_scores_gemma":[0.9976052,0.00094273925,0.0007241315,0.00008052069,0.00044942793,0.00019795178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088738423,0.00019758251,0.00031788496,0.0018025829,0.00047638736,0.0011202007,0.00020224608,0.00021183264,0.0016308702],"category_scores_gemma":[0.0029076487,0.00012607325,0.00044897848,0.0026029365,0.000337472,0.0010171182,0.0007360903,0.00039566285,0.0001262861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000822279,0.000037246853,0.98011935,0.000048157584,0.00009463624,0.00058040046,0.0007664556,0.0010951671,0.000316437,0.0055949143,0.00026274388,0.011002218],"study_design_scores_gemma":[0.00000876178,0.00007989923,0.98010534,0.00007385364,0.0001531426,0.00023045907,0.004213123,0.010374181,0.00032965554,0.0022625576,0.0021517687,0.000017143757],"about_ca_topic_score_codex":0.017116632,"about_ca_topic_score_gemma":0.015621972,"teacher_disagreement_score":0.017116632,"about_ca_system_score_codex":0.00085948437,"about_ca_system_score_gemma":0.0009529759,"threshold_uncertainty_score":0.034034014},"labels":[],"label_agreement":null},{"id":"W3011163428","doi":"10.5430/ijfr.v11n2p229","title":"Imperatives of Effective Working Capital Management and Profitability in the Banking Industry in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Working capital; Profitability index; Proxy (statistics); Business; Pearson product-moment correlation coefficient; Variables; Order (exchange); Econometrics; Finance; Economics; Statistics; Mathematics","score_opus":0.038868135072342706,"score_gpt":0.3165935735322245,"score_spread":0.2777254384598818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011163428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990622,0.00050621375,0.00030747984,0.0015006394,0.000011680845,0.000011425176,0.000018584959,0.0000026509401,0.007019371],"genre_scores_gemma":[0.9994993,0.00015637353,0.00010775413,0.000028279224,0.0000048195798,0.0000020186296,0.0000041973744,2.6040712e-7,0.00019695077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987839,0.00040263805,0.00009771032,0.00007942717,0.00024849447,0.0003878012],"domain_scores_gemma":[0.993705,0.0018590966,0.0026881187,0.00009656627,0.0005115188,0.0011398309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014932355,0.00014477718,0.000121483376,0.000636301,0.00088129326,0.0026182625,0.00024627204,0.00051215076,0.0011360532],"category_scores_gemma":[0.0046163066,0.00013799054,0.00006975819,0.0005883289,0.0014392335,0.0012768036,0.0009918815,0.00066200556,0.000097554796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012243634,0.00032936985,0.8977665,0.0002445843,0.00001840175,0.0017695846,0.013335709,0.0010105296,0.0019389995,0.014597228,0.0013303268,0.06753639],"study_design_scores_gemma":[0.0000045279044,0.00012806925,0.9536125,0.00023877839,0.000009648472,0.0006648781,0.033677865,0.0014546108,0.00040963478,0.0058253254,0.003947961,0.000026161117],"about_ca_topic_score_codex":0.0035906415,"about_ca_topic_score_gemma":0.0071185934,"teacher_disagreement_score":0.0035906415,"about_ca_system_score_codex":0.0013169164,"about_ca_system_score_gemma":0.0028525724,"threshold_uncertainty_score":0.009554982},"labels":[],"label_agreement":null},{"id":"W3011456459","doi":"10.5430/ijfr.v11n2p97","title":"Attainment Discrepancy Level, Firm Resources Slack, and Sticky Cost","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Economics; Resource (disambiguation); Microeconomics; Educational attainment; Business; Computer science","score_opus":0.1421428580028414,"score_gpt":0.33916033985652594,"score_spread":0.19701748185368453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011456459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624264,0.00006204634,0.0010157147,0.00009852652,0.000003673192,0.0000155448,0.00009715491,0.0000051227344,0.0024595787],"genre_scores_gemma":[0.99951434,0.000018463883,0.00017195787,0.000008994873,0.0000029439755,0.0000065765853,0.000070997594,6.829204e-7,0.0002051171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907374,0.00018283563,0.00011468753,0.00014180131,0.0002862537,0.00020071607],"domain_scores_gemma":[0.98131746,0.0065980363,0.009234439,0.0008828765,0.0007030563,0.0012640828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012799248,0.00020734109,0.00025994,0.000934564,0.0004034885,0.0015040676,0.00027421772,0.00039080033,0.0034223169],"category_scores_gemma":[0.008060886,0.00012454025,0.00029416013,0.0010050314,0.00068181055,0.0010376677,0.0009663422,0.0010002651,0.00016063095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007084007,0.00017551806,0.9861178,0.000029909736,0.000047490787,0.00011476513,0.00038704064,0.0026502246,0.00036344488,0.002285857,0.00014100476,0.0076163053],"study_design_scores_gemma":[0.0000032065132,0.00009009014,0.99317825,0.000013551288,0.000013102044,0.000031531647,0.0009420994,0.0038083391,0.00014921502,0.0014409261,0.0003195435,0.000010211982],"about_ca_topic_score_codex":0.00509548,"about_ca_topic_score_gemma":0.0068219225,"teacher_disagreement_score":0.00509548,"about_ca_system_score_codex":0.0012803216,"about_ca_system_score_gemma":0.00060366135,"threshold_uncertainty_score":0.011448801},"labels":[],"label_agreement":null},{"id":"W3011490234","doi":"10.5430/ijfr.v11n2p88","title":"Consumers’ Purchase Intention Toward Ergonomic Footwear in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Word of mouth; Expectancy theory; Context (archaeology); Marketing; Advertising; Psychology; Value (mathematics); Consumption (sociology); Business; Human factors and ergonomics; Consumer behaviour; Social psychology; Poison control; Medicine; Environmental health; Sociology; Geography; Computer science","score_opus":0.1264901451607302,"score_gpt":0.3636008610059467,"score_spread":0.23711071584521648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011490234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994679,0.000035608515,0.000019813131,0.00004810137,0.0000013257613,0.0000028007703,0.000037190497,6.6315346e-7,0.00038664526],"genre_scores_gemma":[0.9994398,0.000069431146,0.000053537075,0.000018182931,0.0000013745833,0.0000032877513,0.00004330342,4.3638425e-7,0.0003705098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976677,0.000057569556,0.000030083835,0.000024894558,0.00007083764,0.000049968097],"domain_scores_gemma":[0.99892175,0.00037235793,0.00036810373,0.000029942907,0.00015631925,0.00015155431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056057953,0.00015355977,0.00013004955,0.00041113497,0.00026078324,0.00072787213,0.00010316871,0.0003237533,0.0021793325],"category_scores_gemma":[0.0015782131,0.00017695862,0.00034745375,0.00047306606,0.000181605,0.00048244555,0.00023503295,0.00049605296,0.0002508522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008398027,0.0002314936,0.988198,0.000037724356,0.000026856915,0.00015343065,0.0041373693,0.00008805808,0.00046288257,0.00012166255,0.00018401409,0.0062746378],"study_design_scores_gemma":[0.0000043467817,0.00023390322,0.98944014,0.000035259654,0.000021518428,0.00015126084,0.008745278,0.00068074453,0.00020412028,0.000057727008,0.00041412542,0.000011485385],"about_ca_topic_score_codex":0.011001159,"about_ca_topic_score_gemma":0.013683157,"teacher_disagreement_score":0.011001159,"about_ca_system_score_codex":0.00037889087,"about_ca_system_score_gemma":0.00033905427,"threshold_uncertainty_score":0.021874249},"labels":[],"label_agreement":null},{"id":"W3011536966","doi":"10.5430/ijfr.v11n2p128","title":"The Effect of Knowledge, Promotion, and Religiosity on Intention to Use Islamic Banking Services","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Religiosity; Promotion (chess); Islam; Socialization; Business; Islamic banking; Population; Data collection; Psychology; Accounting; Marketing; Public relations; Social psychology; Political science; Sociology; Social science; Demography; Geography","score_opus":0.03431901712472872,"score_gpt":0.32836900129104696,"score_spread":0.2940499841663182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011536966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99626017,0.0001344658,0.00006738358,0.00018409661,0.0000048852507,0.000015047272,0.000036138554,0.0000023953612,0.003295465],"genre_scores_gemma":[0.9992267,0.00012363854,0.000096326345,0.00003624637,0.0000047929534,0.000007380749,0.0000342844,9.033347e-7,0.00046974176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910575,0.00026068732,0.000074108786,0.00006331024,0.00029355907,0.0002025918],"domain_scores_gemma":[0.98771286,0.005500504,0.0033957807,0.00032339586,0.0009841289,0.0020833155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001396566,0.00018648217,0.00022808375,0.00073996495,0.00044406595,0.0013452972,0.00021627438,0.000577959,0.0052709254],"category_scores_gemma":[0.008200783,0.00019739967,0.00052479963,0.00048807412,0.0005863612,0.00057696685,0.00059479417,0.0013970302,0.00043305111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010601836,0.0014381546,0.9812562,0.000072064606,0.00008187776,0.00015710363,0.0019089383,0.00016694592,0.0004379787,0.00028760705,0.00019244534,0.013894699],"study_design_scores_gemma":[0.000008705286,0.0002718522,0.9958001,0.000059307087,0.00004586145,0.00008608401,0.002448132,0.00052779284,0.0001578703,0.00016613933,0.00041686126,0.000011175175],"about_ca_topic_score_codex":0.004491541,"about_ca_topic_score_gemma":0.006563509,"teacher_disagreement_score":0.0052709254,"about_ca_system_score_codex":0.0005131671,"about_ca_system_score_gemma":0.0012057516,"threshold_uncertainty_score":0.01763302},"labels":[],"label_agreement":null},{"id":"W3011770769","doi":"10.5430/ijfr.v11n2p287","title":"The Effect of Inventory Turnover Period on the Profitability of Listed Nigerian Conglomerate Companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Stock exchange; Obsolescence; Conglomerate; Business; Population; Inventory turnover; Stock (firearms); Panel data; Finance; Economics; Marketing; Econometrics; Demography; Engineering","score_opus":0.04835399338520418,"score_gpt":0.30888767130064837,"score_spread":0.2605336779154442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011770769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991399,0.0001828054,0.000028475697,0.00004393417,0.000002494308,0.000001286286,0.00008484645,0.0000011551281,0.00051512447],"genre_scores_gemma":[0.9995889,0.00007635238,0.000017875736,0.0000061371193,0.0000032544606,7.741154e-7,0.000111136134,3.994221e-7,0.00019518303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996799,0.00008607544,0.00003716374,0.00004207013,0.00006899767,0.000085807995],"domain_scores_gemma":[0.9951448,0.0015412344,0.002433319,0.00011347407,0.00038986126,0.0003772544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005144682,0.00011582741,0.00013453836,0.00065594324,0.0002881017,0.0010490962,0.00016856272,0.00023188507,0.0012952603],"category_scores_gemma":[0.0033035323,0.00008519883,0.00013699742,0.0006157931,0.00018402867,0.0003910148,0.0002872331,0.00036538724,0.00019877635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007144138,0.00003519271,0.9962035,0.000006750481,0.000017066839,0.00013227323,0.000114734925,0.00021279532,0.00012845756,0.0000631774,0.00009218296,0.0029225098],"study_design_scores_gemma":[0.0000010193052,0.00004819276,0.9985031,0.00001011379,0.000012847438,0.00009113895,0.00040863332,0.00062983943,0.00009633135,0.000028860017,0.00016684423,0.0000030983238],"about_ca_topic_score_codex":0.0085257,"about_ca_topic_score_gemma":0.0149042215,"teacher_disagreement_score":0.0085257,"about_ca_system_score_codex":0.0006152425,"about_ca_system_score_gemma":0.00036999647,"threshold_uncertainty_score":0.016952157},"labels":[],"label_agreement":null},{"id":"W3011888410","doi":"10.5430/ijfr.v11n2p271","title":"Nollywood Accounting and Financial Performance: Evidence From Nigerian Cinemas","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Movie theater; Social media; Order (exchange); Profit (economics); Advertising; Accounting; Business; Public relations; Political science; Economics; Finance; History; Law; Microeconomics","score_opus":0.15887949394118372,"score_gpt":0.36605890487371096,"score_spread":0.20717941093252723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011888410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927556,0.00092344073,0.00002741084,0.00028748857,0.000014461258,0.000009684084,0.00015334184,8.888289e-7,0.0058277627],"genre_scores_gemma":[0.9975764,0.0012894633,0.00006870215,0.000047859066,0.00003100656,0.00000482872,0.00011917946,0.0000012324731,0.00086128555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963844,0.00013188305,0.00003172095,0.000034247667,0.00009574788,0.00006797439],"domain_scores_gemma":[0.99325234,0.002382195,0.00304062,0.00012801854,0.000593359,0.00060352415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086593063,0.0002117985,0.00016132907,0.0012843227,0.0009774212,0.0019099696,0.00018114758,0.0002887449,0.0042431364],"category_scores_gemma":[0.0057150424,0.000118338,0.0000933112,0.0013823668,0.00048453858,0.0009654555,0.00057749695,0.00054014206,0.00030563146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001917873,0.00031610765,0.9500448,0.00031608503,0.000049703896,0.00072509976,0.0138539495,0.000056393055,0.00061257556,0.0008547051,0.0014196871,0.031559203],"study_design_scores_gemma":[0.0000025226652,0.00006393199,0.9712767,0.00024533243,0.000027935013,0.00018442806,0.023607029,0.00009165393,0.00019061519,0.00010763331,0.0041946606,0.000007651515],"about_ca_topic_score_codex":0.00655263,"about_ca_topic_score_gemma":0.018222205,"teacher_disagreement_score":0.00655263,"about_ca_system_score_codex":0.0005335769,"about_ca_system_score_gemma":0.00036649432,"threshold_uncertainty_score":0.014194727},"labels":[],"label_agreement":null},{"id":"W3011920288","doi":"10.5430/ijfr.v11n2p26","title":"Do Investors’ Exhibit Cognitive Biases: Evidence From Indian Equity Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Affect (linguistics); Investment (military); Behavioral economics; Capital market; Investment decisions; Business; Financial market; Institutional investor; Economics; Cognitive bias; Financial economics; Finance; Cognition; Actuarial science; Psychology; Corporate governance","score_opus":0.3385140577615298,"score_gpt":0.404644670542953,"score_spread":0.06613061278142318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011920288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984475,0.00010097139,0.00003335633,0.00013837792,0.000002971149,0.0000036075025,0.000024465318,8.22665e-7,0.0012480222],"genre_scores_gemma":[0.99969935,0.000104445346,0.000023547527,0.000052305437,0.0000062779723,0.0000017780294,0.000019858719,5.077755e-7,0.00009203031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988668,0.00035439013,0.000087440334,0.00009143834,0.00040064612,0.0001993667],"domain_scores_gemma":[0.98399055,0.006229633,0.006686347,0.001034357,0.0012078146,0.0008512016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019433349,0.00014743036,0.00019003116,0.00095701765,0.00046595687,0.0013135312,0.00039419494,0.00043756186,0.0013366988],"category_scores_gemma":[0.014129864,0.0001356806,0.00023667878,0.00090410083,0.0009825568,0.0006578386,0.0006702071,0.00064036855,0.00018245635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018701782,0.00013488463,0.9853119,0.000028347657,0.00006426856,0.00013950144,0.0046971394,0.000055198547,0.00029559364,0.00026185677,0.00015166846,0.008672584],"study_design_scores_gemma":[0.0000044671083,0.000054946766,0.99643326,0.000011286624,0.000022888253,0.00008268089,0.0025604211,0.00013821405,0.00014517647,0.00020047829,0.00033810572,0.000008254651],"about_ca_topic_score_codex":0.009771218,"about_ca_topic_score_gemma":0.008781229,"teacher_disagreement_score":0.009771218,"about_ca_system_score_codex":0.0003496207,"about_ca_system_score_gemma":0.00046531216,"threshold_uncertainty_score":0.01942873},"labels":[],"label_agreement":null},{"id":"W3011921522","doi":"10.5430/ijfr.v11n2p255","title":"Transmission of Information of the Indonesian Dual Listed Shares","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Business; Stock (firearms); Indonesian; Database transaction; Listing (finance); Market maker; Information transmission; Stock market; Monetary economics; Economics; Finance; Computer science; Database; Geography","score_opus":0.08637597738665685,"score_gpt":0.30706427513274265,"score_spread":0.22068829774608578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011921522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955835,0.00010882566,0.00024861458,0.00016387396,0.000006988172,0.0000083235,0.00023962857,0.0000055721525,0.0036346284],"genre_scores_gemma":[0.9991591,0.00008034518,0.00009035123,0.0000114855,0.000007025058,0.0000022029647,0.00011777618,9.924693e-7,0.0005307318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996326,0.00005822236,0.000038647326,0.000065650085,0.0001516046,0.00005329329],"domain_scores_gemma":[0.99574995,0.0015151193,0.0020534745,0.00021111869,0.00032823146,0.00014213593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004915384,0.000117923235,0.00017723523,0.0007385961,0.00014904341,0.0010692923,0.00018823789,0.0002663463,0.0019058698],"category_scores_gemma":[0.0059512495,0.00013853055,0.00015302347,0.0006227428,0.00017826808,0.0007939867,0.00039519186,0.0004886269,0.00027435212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041313673,0.00029435274,0.9336496,0.00008584054,0.00014997437,0.0012609294,0.0023475806,0.003019751,0.0066807535,0.0029353239,0.0011451144,0.048017703],"study_design_scores_gemma":[0.0000073888496,0.00011292989,0.9886475,0.000022674638,0.00004752402,0.0003095724,0.0009301797,0.006710311,0.0014323352,0.00070750917,0.0010557781,0.000016227736],"about_ca_topic_score_codex":0.004813762,"about_ca_topic_score_gemma":0.0038458067,"teacher_disagreement_score":0.004813762,"about_ca_system_score_codex":0.0004485475,"about_ca_system_score_gemma":0.0002105403,"threshold_uncertainty_score":0.009571493},"labels":[],"label_agreement":null},{"id":"W3011946223","doi":"10.5430/ijfr.v11n2p205","title":"The Effect of Using Securitization on the Stability and the Risk of Banks: Evidence From Emerging Countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Securitization; Credit risk; Emerging markets; Diversification (marketing strategy); Capital adequacy ratio; Financial system; Interest rate; Business; Economics; Market liquidity; Monetary economics; Actuarial science; Finance; Incentive","score_opus":0.06677256553855422,"score_gpt":0.335487092859635,"score_spread":0.2687145273210808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011946223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979091,0.0007063679,0.000119755576,0.0002670446,0.0000054984534,0.0000031763632,0.00019321057,0.0000013364568,0.00079440593],"genre_scores_gemma":[0.9991321,0.00047401813,0.00003918807,0.000033014236,0.000009970516,0.0000011130135,0.00017510745,6.51357e-7,0.00013480584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937683,0.0002477915,0.00008629538,0.00011321311,0.000086263375,0.00008969023],"domain_scores_gemma":[0.9881082,0.0024820112,0.0075669456,0.00044206312,0.00082949427,0.0005712889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012458302,0.000138652,0.00018792802,0.00051064545,0.00023046056,0.0008576482,0.00016263309,0.00034296373,0.0013349215],"category_scores_gemma":[0.005020321,0.00009296545,0.00032907707,0.0008274147,0.0005317797,0.00058454263,0.000590205,0.0005909334,0.00016118959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007843397,0.000025192385,0.99503845,0.00001662156,0.00008410975,0.00011227244,0.0002575113,0.00022564945,0.000088235654,0.00021280852,0.00016655367,0.0036941697],"study_design_scores_gemma":[0.000002953863,0.00004871084,0.99799025,0.000023485154,0.000052832784,0.00008374397,0.00068230234,0.00033816588,0.00016196938,0.00009280571,0.00051928504,0.0000035346607],"about_ca_topic_score_codex":0.0058722217,"about_ca_topic_score_gemma":0.0076673687,"teacher_disagreement_score":0.0058722217,"about_ca_system_score_codex":0.0002314356,"about_ca_system_score_gemma":0.00033914397,"threshold_uncertainty_score":0.011676073},"labels":[],"label_agreement":null},{"id":"W3011948667","doi":"10.5430/ijfr.v11n2p77","title":"Funds Manager and Mutual Funds Characteristics on Mutual Funds Performance: Empirical Evidence of Equity Mutual Funds in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Passive management; Fund of funds; Business; Closed-end fund; Open-end fund; Finance; Expense ratio; Institutional investor; Corporate governance","score_opus":0.3470037993275271,"score_gpt":0.409862970038846,"score_spread":0.06285917071131886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011948667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999005,0.00023439556,0.000017535862,0.00008575988,0.0000028355262,0.0000015650635,0.000060304006,0.0000012010211,0.00059130904],"genre_scores_gemma":[0.99966645,0.000098502605,0.000020733636,0.000010763989,0.000009508033,0.0000014213989,0.00006105909,7.090723e-7,0.00013083119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898726,0.00022209136,0.0001464574,0.00013353526,0.00031985395,0.00019071558],"domain_scores_gemma":[0.99104416,0.0012395654,0.006325517,0.00018095484,0.00030506979,0.00090476556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011970036,0.00015933126,0.00028770452,0.0010848121,0.00030494135,0.0010568781,0.00032822986,0.0003109972,0.0015709006],"category_scores_gemma":[0.005143326,0.00010284211,0.00030163323,0.001326465,0.00043414583,0.0007535065,0.0010356319,0.0003770061,0.00026090807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030282872,0.000022730366,0.99746835,0.000007975579,0.00002165551,0.00006117589,0.00021561673,0.000031227024,0.000044106175,0.00004643159,0.00008202305,0.0019683675],"study_design_scores_gemma":[9.943305e-7,0.000018868799,0.9992674,0.0000066025386,0.000009330913,0.000047828817,0.00036332986,0.00007789013,0.000025418947,0.000015345522,0.00016564729,0.0000013627149],"about_ca_topic_score_codex":0.0059041968,"about_ca_topic_score_gemma":0.008200566,"teacher_disagreement_score":0.0059041968,"about_ca_system_score_codex":0.0005442138,"about_ca_system_score_gemma":0.00068668206,"threshold_uncertainty_score":0.011739671},"labels":[],"label_agreement":null},{"id":"W3012005978","doi":"10.5430/ijfr.v11n2p293","title":"Ownership Structure and Firm Performance","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Insider; Business; Accounting; Stock exchange; Sample (material); Monetary economics; Finance; Economics","score_opus":0.05830127692869656,"score_gpt":0.3153926289020142,"score_spread":0.2570913519733176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012005978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98767227,0.00050664024,0.00039538357,0.00030014061,0.000009141702,0.000012663041,0.00023818985,0.000007828699,0.010857665],"genre_scores_gemma":[0.99913967,0.00007361994,0.000044827437,0.000013310595,0.000011626726,0.0000018831794,0.00009836502,8.9798755e-7,0.0006157378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994733,0.000117053794,0.00005206217,0.000064579464,0.00016930804,0.0001237573],"domain_scores_gemma":[0.9871373,0.0030228281,0.007274297,0.0003763677,0.0007891026,0.0014001023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000758137,0.00013904349,0.000119118275,0.00086045783,0.0002962583,0.0011333536,0.00016451674,0.00028749887,0.0057139853],"category_scores_gemma":[0.0049197855,0.00004820022,0.00013442963,0.0011140179,0.00036652124,0.0007834533,0.0006588462,0.00035958044,0.00057902175],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032071952,0.0001021211,0.9873143,0.000016674994,0.0000540792,0.00009749948,0.0001386096,0.00054268417,0.00032438576,0.0012178193,0.0003320386,0.009827758],"study_design_scores_gemma":[0.0000046837085,0.00011762984,0.99577576,0.000019720334,0.00002120003,0.00013453621,0.00031686664,0.00076737214,0.00027002112,0.0011102976,0.0014552288,0.0000067635797],"about_ca_topic_score_codex":0.0018815321,"about_ca_topic_score_gemma":0.0019172408,"teacher_disagreement_score":0.0057139853,"about_ca_system_score_codex":0.00035979066,"about_ca_system_score_gemma":0.00028910823,"threshold_uncertainty_score":0.01911521},"labels":[],"label_agreement":null},{"id":"W3012021288","doi":"10.5430/ijfr.v11n2p311","title":"The Attributes of Dysfunctional Audit Behavior (DAB): Second Order Confirmatory Factor Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dysfunctional family; Audit; Confirmatory factor analysis; Psychology; Accounting; Business; Statistics; Structural equation modeling; Clinical psychology; Mathematics","score_opus":0.04645156715610387,"score_gpt":0.31525867317691786,"score_spread":0.268807106020814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012021288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96664935,0.00013280808,0.026714237,0.0003485731,0.00006451676,0.0009989411,0.0010868469,0.00014494346,0.003859742],"genre_scores_gemma":[0.98816293,0.000052353156,0.009937456,0.000023972405,0.000011925038,0.000527229,0.0008375147,0.000016392798,0.00043025185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9904144,0.0035397573,0.0010882604,0.0009619975,0.003426379,0.0005691575],"domain_scores_gemma":[0.9630523,0.017308036,0.0035854895,0.0037761135,0.011348783,0.00092933443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014046889,0.00089601474,0.0008880926,0.0028973706,0.0010713664,0.0018780543,0.00073303236,0.00049170735,0.0021629247],"category_scores_gemma":[0.031926624,0.00041511748,0.0017329297,0.003377686,0.0010094647,0.000959388,0.0013732506,0.0013685666,0.00039577982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025845092,0.00053009676,0.90197456,0.00037074665,0.00044599926,0.00025356302,0.010113322,0.0027423666,0.0020385515,0.0029959509,0.0016434385,0.07663293],"study_design_scores_gemma":[0.00009562557,0.0006042811,0.9369074,0.00020760638,0.0002564599,0.0002981102,0.008694104,0.040511508,0.0029787787,0.0043505603,0.00497475,0.00012083892],"about_ca_topic_score_codex":0.007337583,"about_ca_topic_score_gemma":0.0065351,"teacher_disagreement_score":0.014046889,"about_ca_system_score_codex":0.0010938925,"about_ca_system_score_gemma":0.0048066447,"threshold_uncertainty_score":0.07428795},"labels":[],"label_agreement":null},{"id":"W3012048100","doi":"10.5430/ijfr.v11n2p146","title":"Direct Versus Indirect Taxes: Impact on Economic Growth and Total Tax Revenue","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Tax deferral; Panel data; Tax revenue; Indirect tax; Revenue; Generalized method of moments; Indirect effect; Direct tax; Profit (economics); Monetary economics; Value-added tax; Tax reform; Econometrics; Macroeconomics; Public economics; Microeconomics; State income tax; Gross income; Finance","score_opus":0.10091357301886844,"score_gpt":0.3474259273771769,"score_spread":0.24651235435830848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012048100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98790807,0.0013966615,0.00058309006,0.00032121112,0.000031086227,0.00001704085,0.0024307144,0.000022175323,0.0072899326],"genre_scores_gemma":[0.99553394,0.000821994,0.0001916913,0.000025508045,0.000016041517,0.0000055600594,0.0018514039,0.000005872039,0.0015478561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929905,0.00019635586,0.000055311397,0.00010547535,0.00017808925,0.00016578306],"domain_scores_gemma":[0.9959325,0.0012567794,0.0016203717,0.00023479851,0.00067950465,0.00027606488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093784125,0.00030602244,0.00041964152,0.0010674471,0.0002208745,0.0015704713,0.0002197312,0.00027179235,0.0023033833],"category_scores_gemma":[0.0039737136,0.00012201566,0.00051784347,0.0020429834,0.0004274006,0.0008966667,0.00094445655,0.00082896964,0.00043084592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046044888,0.00008529925,0.9485279,0.00014654407,0.00042224964,0.00052094174,0.00017261268,0.016383652,0.00053763174,0.0046201195,0.0017289481,0.026393626],"study_design_scores_gemma":[0.000027827673,0.00018145541,0.9773228,0.000106946034,0.00030317693,0.00047284106,0.0009730669,0.007978148,0.0016621957,0.0025565352,0.008385302,0.000029757406],"about_ca_topic_score_codex":0.009494785,"about_ca_topic_score_gemma":0.008963792,"teacher_disagreement_score":0.009494785,"about_ca_system_score_codex":0.00075041055,"about_ca_system_score_gemma":0.00071254,"threshold_uncertainty_score":0.018879056},"labels":[],"label_agreement":null},{"id":"W3012056004","doi":"10.5430/ijfr.v11n2p68","title":"Determinants of Dividend Pay-Out Policy of Listed Non-financial Firms in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Malaya","keywords":"Dividend policy; Leverage (statistics); Dividend; Panel data; Business; Dividend payout ratio; Fixed effects model; Capital structure; Corporate governance; Positive relationship; Finance; Financial system; Monetary economics; Economics; Financial economics; Econometrics","score_opus":0.07022891799906358,"score_gpt":0.3590561285079347,"score_spread":0.28882721050887117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012056004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987914,0.00018177643,0.00003119586,0.00010833859,0.0000017084068,0.0000032172816,0.00011888423,0.0000017062281,0.0007619145],"genre_scores_gemma":[0.9993048,0.00010530921,0.000019917174,0.000008542188,0.000002740256,9.219845e-7,0.00010955522,3.586274e-7,0.00044793604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997309,0.00003602677,0.000032160217,0.000037804988,0.00006752076,0.00009554628],"domain_scores_gemma":[0.9970415,0.0003514296,0.0020098558,0.00006144913,0.00021863703,0.00031699872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052391,0.000140715,0.00013857718,0.0008044089,0.00025763572,0.0011543998,0.00018624974,0.0002691346,0.0011217752],"category_scores_gemma":[0.0016449664,0.000098133176,0.00013723432,0.0007637161,0.00024759024,0.000615412,0.0003815739,0.00040905768,0.00018328198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033857425,0.00004740611,0.993789,0.000018793346,0.000014944075,0.00020809552,0.0002030425,0.00036901448,0.00044497487,0.00030444292,0.00017434651,0.0043919943],"study_design_scores_gemma":[8.002244e-7,0.00001966205,0.99852717,0.000008896651,0.000003222101,0.000041303156,0.00042712578,0.00033515,0.00018329256,0.00007471592,0.0003761965,0.0000024298417],"about_ca_topic_score_codex":0.014712637,"about_ca_topic_score_gemma":0.029318316,"teacher_disagreement_score":0.014712637,"about_ca_system_score_codex":0.0010540743,"about_ca_system_score_gemma":0.0007473137,"threshold_uncertainty_score":0.02925396},"labels":[],"label_agreement":null},{"id":"W3012120917","doi":"10.5430/ijfr.v11n2p51","title":"Exploring the Role of Trust in Mobile-Banking Use by Indonesian Customer Using Unified Theory of Acceptance and Usage Technology","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expectancy theory; Unified theory of acceptance and use of technology; Mobile banking; Social influence; Business; Marketing; Indonesian; Empirical research; Psychology; Social psychology; Statistics","score_opus":0.31434633567751424,"score_gpt":0.44438658625867516,"score_spread":0.13004025058116092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012120917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650973,0.00012876277,0.00052431173,0.00020955305,0.000003453934,0.000013138086,0.000015623944,0.0000027802466,0.0025926493],"genre_scores_gemma":[0.9997161,0.00005732449,0.00011215865,0.000012298457,0.0000012135537,0.000004906009,0.0000074915647,5.765009e-7,0.00008797818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998516,0.00068033696,0.00013165183,0.00008907158,0.00032902302,0.00025391055],"domain_scores_gemma":[0.9900913,0.005771203,0.0020863356,0.00026735902,0.0012490973,0.0005346408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018621348,0.00021302298,0.00031615555,0.00082976196,0.00064963044,0.0020555728,0.00023563339,0.000543822,0.0016487357],"category_scores_gemma":[0.0076479292,0.00021534451,0.00043007042,0.0006606369,0.000586629,0.0011790808,0.0007898325,0.00087318296,0.00013985434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001006552,0.00037712362,0.9536354,0.000108310596,0.000082803024,0.00059826695,0.016391046,0.000550932,0.0010628118,0.0024743993,0.00026361592,0.024354657],"study_design_scores_gemma":[0.000009526137,0.0003803479,0.9547408,0.000174713,0.00012646751,0.00064313447,0.028782912,0.012024414,0.000718527,0.0011846259,0.0011717747,0.00004272638],"about_ca_topic_score_codex":0.0068011736,"about_ca_topic_score_gemma":0.006571421,"teacher_disagreement_score":0.0068011736,"about_ca_system_score_codex":0.000841329,"about_ca_system_score_gemma":0.0013152594,"threshold_uncertainty_score":0.013523221},"labels":[],"label_agreement":null},{"id":"W3012138279","doi":"10.5430/ijfr.v11n2p187","title":"Financial and Non-financial Factors Affecting Board Size of the Listed Firms in Vietnam","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh","keywords":"Business; Accounting; Independence (probability theory); Affect (linguistics); Finance; Stock market; Financial ratio","score_opus":0.045193382254414306,"score_gpt":0.3058512778945113,"score_spread":0.26065789564009695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012138279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968612,0.00015321754,0.000058289465,0.00022502562,0.000007653727,0.00000664381,0.0001552944,0.0000012693157,0.0025313937],"genre_scores_gemma":[0.99889094,0.00007058899,0.000023623186,0.000024000483,0.000004552974,0.0000014973018,0.00012443494,6.694866e-7,0.0008597831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968386,0.000055982164,0.000030231406,0.000043554817,0.000063984146,0.0001223289],"domain_scores_gemma":[0.99576783,0.00053025596,0.0020365587,0.00007559992,0.000637955,0.0009517289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004860457,0.00008599787,0.00007693085,0.00042147806,0.00045103987,0.0007314759,0.00013868055,0.000116419826,0.0035425539],"category_scores_gemma":[0.0018188338,0.000081271406,0.000070379596,0.00048288197,0.0002785372,0.0004132885,0.00028371857,0.0002833566,0.00015193404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013453285,0.000019435109,0.99484295,0.000013208887,0.000008494175,0.00014362368,0.0009123589,0.00004543087,0.00021207063,0.00021593763,0.00035519333,0.0032179144],"study_design_scores_gemma":[0.0000010278264,0.000015007415,0.9963987,0.000008004756,0.0000032916714,0.000053677133,0.0023636033,0.000066519875,0.000057836587,0.000036534002,0.0009938012,0.000002044081],"about_ca_topic_score_codex":0.057118975,"about_ca_topic_score_gemma":0.10829792,"teacher_disagreement_score":0.057118975,"about_ca_system_score_codex":0.0009278375,"about_ca_system_score_gemma":0.0011516069,"threshold_uncertainty_score":0.113573015},"labels":[],"label_agreement":null},{"id":"W3012154838","doi":"10.5430/ijfr.v11n2p136","title":"The Effects of Ethical Factors in Financial Statement Examination: Ethical Framework of the Input Process Output (IPO) Model in Auditing System Basis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Objectivity (philosophy); Accounting; Audit; Proxy (statistics); Financial statement; Quality audit; Variables; Quality (philosophy); Structural equation modeling; Variable (mathematics); Independence (probability theory); Process (computing); Initial public offering; Business; Empirical research; Econometrics; Actuarial science; Computer science; Economics; Statistics; Mathematics","score_opus":0.03627204923736441,"score_gpt":0.33211347316802564,"score_spread":0.29584142393066126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012154838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433797,0.00026422885,0.029303089,0.0015769394,0.000031696683,0.00025222823,0.000055452125,0.000028047069,0.025108593],"genre_scores_gemma":[0.9981812,0.000036211826,0.0014280152,0.000022195607,0.000004739808,0.000023159308,0.000008683631,0.0000026336638,0.00029312304],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98479897,0.010479759,0.00054484204,0.0008393652,0.0022546537,0.0010824995],"domain_scores_gemma":[0.93072504,0.04141045,0.015683973,0.003881504,0.005933716,0.002365407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01090026,0.0005755902,0.0003468741,0.00155702,0.0011133093,0.0040779016,0.00054934877,0.00090132485,0.0024059834],"category_scores_gemma":[0.04571249,0.00037730183,0.00070519524,0.0008839921,0.004356798,0.0028058537,0.0026919714,0.0016825702,0.00019048796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004305097,0.0012236919,0.8172719,0.00024408373,0.00024645598,0.0007938599,0.008502594,0.02450959,0.0022433046,0.09390168,0.0007048256,0.04992753],"study_design_scores_gemma":[0.0001196851,0.0012763939,0.70769894,0.00047920906,0.00044762847,0.0005703769,0.018161537,0.16907813,0.0047304765,0.092104584,0.005162873,0.00017024316],"about_ca_topic_score_codex":0.0052870684,"about_ca_topic_score_gemma":0.005737401,"teacher_disagreement_score":0.01090026,"about_ca_system_score_codex":0.003377312,"about_ca_system_score_gemma":0.004542932,"threshold_uncertainty_score":0.05764675},"labels":[],"label_agreement":null},{"id":"W3012188010","doi":"10.5430/ijfr.v11n2p262","title":"Entrepreneurial Orientation in Government-Owned Bank: Do They Improve Competitive Advantage?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Proactivity; Entrepreneurial orientation; Competitor analysis; Business; Government (linguistics); Competitive advantage; Marketing; Entrepreneurship; Population; Industrial organization; Finance; Economics; Management","score_opus":0.04114724741047147,"score_gpt":0.3817108425278855,"score_spread":0.340563595117414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012188010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128145,0.0004087018,0.0000918187,0.0014422308,0.000032670225,0.000020064277,0.000027706506,0.0000032074934,0.0066923103],"genre_scores_gemma":[0.99896514,0.00022442527,0.00011232875,0.00013391706,0.000010862722,0.000006232317,0.000015006762,0.0000010489609,0.0005311799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990742,0.0003064715,0.00003724952,0.00006316881,0.00021462927,0.00030417903],"domain_scores_gemma":[0.99611497,0.00051340135,0.0011199155,0.000067512694,0.00022612915,0.001958063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001229178,0.00015760449,0.00019673149,0.0004904514,0.00067944196,0.0022027863,0.00029804852,0.0004690894,0.0033490767],"category_scores_gemma":[0.0039754445,0.00010630482,0.00027157608,0.00056637614,0.00065605954,0.00088285195,0.0010413443,0.00080070447,0.00026306746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020569155,0.0018700259,0.89713585,0.00012488537,0.00008784647,0.0006321231,0.0039473353,0.00015295469,0.00052342215,0.0020252753,0.0023371913,0.090957336],"study_design_scores_gemma":[0.00003498392,0.00029819424,0.9815378,0.00012579224,0.000050265797,0.00020832565,0.010979594,0.0004787121,0.00023735901,0.0012930332,0.0047384757,0.00001740987],"about_ca_topic_score_codex":0.0021284109,"about_ca_topic_score_gemma":0.0073905895,"teacher_disagreement_score":0.0033490767,"about_ca_system_score_codex":0.00082561583,"about_ca_system_score_gemma":0.0017204809,"threshold_uncertainty_score":0.011203766},"labels":[],"label_agreement":null},{"id":"W3012263460","doi":"10.5430/ijfr.v11n2p154","title":"An Empirical Model for the Indian Foreign Investment and Stock Market Volatility: Evidence From ARDL Bounds Testing Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Volatility (finance); Stock market; Foreign direct investment; Stock (firearms); Distributed lag; Financial economics; Macroeconomics; Geography","score_opus":0.4698387704321235,"score_gpt":0.4157529745258213,"score_spread":0.05408579590630225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012263460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312213,0.0016362505,0.050625842,0.0026313283,0.00012439149,0.00013631592,0.0011253633,0.00046748418,0.012031708],"genre_scores_gemma":[0.99340665,0.00044154722,0.0028636777,0.00009450456,0.0000728382,0.00005114701,0.0009206638,0.000034705266,0.0021142557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672854,0.0014395295,0.00018089499,0.000693134,0.00052343553,0.0004345939],"domain_scores_gemma":[0.96857566,0.025530908,0.0029766203,0.0009861884,0.0014110301,0.00051959214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069425264,0.00087146857,0.0012476869,0.0022534207,0.00069881754,0.005025907,0.0022670159,0.0014833538,0.007493319],"category_scores_gemma":[0.02358944,0.0004984684,0.0020592306,0.0025678608,0.0013235215,0.0020189995,0.0011801105,0.0024695343,0.0013121595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009143092,0.0011323023,0.41175893,0.0005339663,0.0016644759,0.0033050936,0.0016637435,0.35790947,0.00155899,0.13449444,0.0114815105,0.07358282],"study_design_scores_gemma":[0.00010602881,0.00026255648,0.054698713,0.000113696886,0.00037901168,0.00041124382,0.00061359536,0.9116995,0.00047702226,0.028775705,0.0023921172,0.00007086508],"about_ca_topic_score_codex":0.02178982,"about_ca_topic_score_gemma":0.0074666413,"teacher_disagreement_score":0.02178982,"about_ca_system_score_codex":0.001589035,"about_ca_system_score_gemma":0.002210469,"threshold_uncertainty_score":0.04332596},"labels":[],"label_agreement":null},{"id":"W3012309642","doi":"10.5430/ijfr.v11n2p163","title":"Taxation Income, Graft and Informal Sector Operations in Nigeria in Relation to Other African Countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Language change; Informal sector; Revenue; Tax revenue; Government (linguistics); Government revenue; Order (exchange); Business; Economics; Total revenue; Panel data; Development economics; Economic policy; Economic growth; Public economics; Finance","score_opus":0.06231034956821325,"score_gpt":0.3130817345185027,"score_spread":0.25077138495028944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012309642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967303,0.0004211515,0.000027150878,0.00010931801,0.0000050744425,0.0000033764088,0.00005663242,7.547558e-7,0.0026462027],"genre_scores_gemma":[0.9989421,0.0005076075,0.00002331265,0.000010891391,0.000003021115,0.0000014545985,0.000039378672,6.3574345e-7,0.00047163686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986005,0.000036001133,0.000012615417,0.00001296973,0.000022389284,0.000055948898],"domain_scores_gemma":[0.9990458,0.00019488731,0.0005011509,0.000018208448,0.00007666496,0.0001632261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681922,0.00012137198,0.00015313178,0.00095002004,0.00052813446,0.0012569873,0.00008261391,0.0001289439,0.0018474524],"category_scores_gemma":[0.0012473803,0.000071646646,0.00011007782,0.0011924919,0.00047598517,0.00056188134,0.00056914357,0.00037925201,0.00015222754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072730356,0.00008946021,0.9866186,0.00003749605,0.000013490239,0.00045572306,0.0016578971,0.0002562104,0.00021086291,0.0030373542,0.0002979287,0.007252231],"study_design_scores_gemma":[0.0000034448535,0.00004546962,0.9866041,0.00009103264,0.000015459567,0.0002833227,0.009051562,0.00040715988,0.00017133106,0.0004445554,0.0028780294,0.000004692504],"about_ca_topic_score_codex":0.010681627,"about_ca_topic_score_gemma":0.019771487,"teacher_disagreement_score":0.010681627,"about_ca_system_score_codex":0.0006435574,"about_ca_system_score_gemma":0.0006799534,"threshold_uncertainty_score":0.021238923},"labels":[],"label_agreement":null},{"id":"W3012357628","doi":"10.5430/ijfr.v11n2p243","title":"Does Information Overload of Annual Reports Matter?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Readability; Information overload; Annual report; Business; Corporate governance; Accounting; Order (exchange); Finance; Computer science; World Wide Web","score_opus":0.017231320616077996,"score_gpt":0.2909319505961059,"score_spread":0.27370062998002787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012357628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94515234,0.0069150394,0.0020459208,0.015103915,0.0005405503,0.00013096383,0.0041200267,0.00015608521,0.025835088],"genre_scores_gemma":[0.99386096,0.001368994,0.00061242806,0.0007596928,0.00073839753,0.000035263845,0.0009060755,0.00003664119,0.001681513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9843664,0.005060221,0.002854437,0.0012317791,0.005650271,0.0008368856],"domain_scores_gemma":[0.635661,0.16773358,0.15442786,0.012329779,0.022220965,0.0076267854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013728362,0.00026218183,0.00049234496,0.0032787353,0.0007880571,0.005276964,0.0007244342,0.00079285604,0.010259016],"category_scores_gemma":[0.1960586,0.00023168621,0.0006082965,0.0047780923,0.0013796162,0.006905286,0.0013402572,0.0010931315,0.001742379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036364995,0.00024288155,0.8925431,0.0006839899,0.00023882656,0.00032532305,0.006021365,0.00025024367,0.00036482053,0.0013978647,0.008963952,0.08860409],"study_design_scores_gemma":[0.000020843649,0.00025869993,0.9764292,0.00057125324,0.0001234229,0.00040332222,0.0051097353,0.00045767648,0.00049586373,0.0016481138,0.014431154,0.000050684015],"about_ca_topic_score_codex":0.003331168,"about_ca_topic_score_gemma":0.003555638,"teacher_disagreement_score":0.013728362,"about_ca_system_score_codex":0.0010123502,"about_ca_system_score_gemma":0.0013484887,"threshold_uncertainty_score":0.072603405},"labels":[],"label_agreement":null},{"id":"W3012390621","doi":"10.5430/ijfr.v11n2p40","title":"Doing Better by Doing Good: Discussing the Value Potential of Selected “Just Companies”","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); General partnership; Value (mathematics); Foundation (evidence); Context (archaeology); Social responsibility; Ranking (information retrieval); Market value; Accounting; Economics; Corporate social responsibility; Capital market; Investment banking; Business; Finance; Public relations; Political science","score_opus":0.04753841933160335,"score_gpt":0.3379665644255238,"score_spread":0.29042814509392045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012390621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.832676,0.0031047775,0.0027168535,0.026868291,0.00014782077,0.00003911761,0.00009225877,0.00000907438,0.13434581],"genre_scores_gemma":[0.9975489,0.0004981017,0.0002171644,0.00054876565,0.000046357458,0.000007102607,0.000021506823,0.000003708701,0.0011084023],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9969873,0.0018748739,0.000055801298,0.00010622836,0.0005506476,0.00042509584],"domain_scores_gemma":[0.9953679,0.0026104064,0.0007766424,0.00012131422,0.0005865346,0.0005372887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031654479,0.00020082983,0.00015109796,0.0016825349,0.0033789559,0.006344375,0.0004208068,0.0013347848,0.0019188257],"category_scores_gemma":[0.0058647213,0.00007196917,0.0002092006,0.001438162,0.005626582,0.0053853975,0.0023639244,0.0013191553,0.00015841115],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019473316,0.00015213566,0.06426254,0.0002849327,0.000059855036,0.0017902256,0.21166748,0.00077984395,0.0016725678,0.6240475,0.01729274,0.07779541],"study_design_scores_gemma":[0.000026131387,0.0003484532,0.074846275,0.00075510883,0.000040991978,0.0010373612,0.57573754,0.0022292288,0.0014564962,0.1788662,0.16458099,0.00007518647],"about_ca_topic_score_codex":0.002226446,"about_ca_topic_score_gemma":0.0038941845,"teacher_disagreement_score":0.006344375,"about_ca_system_score_codex":0.0022624948,"about_ca_system_score_gemma":0.0008608042,"threshold_uncertainty_score":0.01674074},"labels":[],"label_agreement":null},{"id":"W3012392045","doi":"10.5430/ijfr.v11n2p173","title":"Chief Executive Officer Characteristics and Financial Restatements in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Honorific; Officer; Business; Chief executive officer; Accounting; Logistic regression; Sample (material); Panel data; Variables; Finance; Economics; Management; Political science; Econometrics; Law","score_opus":0.032185820200284966,"score_gpt":0.3120535744113968,"score_spread":0.2798677542111118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012392045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886394,0.00026065457,0.000017096807,0.00012545536,0.0000041421767,0.000002598236,0.000101986705,0.0000013839693,0.00062277436],"genre_scores_gemma":[0.99951565,0.00010310547,0.000014417743,0.0000119536635,0.0000068320833,9.4898184e-7,0.00007526191,4.9737866e-7,0.00027127366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995022,0.00009094279,0.00007370217,0.000052032105,0.00014808876,0.00013301481],"domain_scores_gemma":[0.98929846,0.00076420256,0.00853343,0.00012492087,0.00043392144,0.0008450663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007252082,0.00013596294,0.00013427052,0.00083658885,0.00028395373,0.00062425545,0.00018488767,0.00019914287,0.0022982126],"category_scores_gemma":[0.0036768191,0.00009079746,0.00016934471,0.0008001987,0.00025646866,0.00048283246,0.00043682233,0.00036229362,0.00025510587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023064813,0.000025390416,0.9967874,0.000011021623,0.00000926347,0.00016008198,0.00014427019,0.00003644707,0.00008369897,0.000030628413,0.00018022927,0.0025085292],"study_design_scores_gemma":[6.1332173e-7,0.000019502266,0.99931216,0.000007563541,0.0000023017833,0.00011406603,0.00026869288,0.000037870686,0.000032276323,0.0000074105956,0.00019607364,0.0000014533248],"about_ca_topic_score_codex":0.0066982643,"about_ca_topic_score_gemma":0.013677945,"teacher_disagreement_score":0.0066982643,"about_ca_system_score_codex":0.0004703469,"about_ca_system_score_gemma":0.0005198043,"threshold_uncertainty_score":0.013318539},"labels":[],"label_agreement":null},{"id":"W3012414512","doi":"10.5430/ijfr.v11n2p281","title":"The Manufacture and Service Companies Differ Leverage Impact to Financial Performance","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Business; Return on assets; Debt-to-capital ratio; Variables; Finance; Debt; Debt ratio; Stock exchange; Operating leverage; Monetary economics; Economics; Return on equity; Equity ratio","score_opus":0.06322670576483871,"score_gpt":0.3242167170406248,"score_spread":0.26099001127578614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012414512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988701,0.00071954145,0.0002580131,0.0003163052,0.000019199073,0.000015648904,0.0006365705,0.000014113265,0.009319563],"genre_scores_gemma":[0.99814713,0.00022435722,0.00006282765,0.000026258109,0.000021200278,0.000004370379,0.00039426645,0.0000022116299,0.0011173536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989386,0.00014618515,0.00010311555,0.00011371325,0.0004296182,0.00026875615],"domain_scores_gemma":[0.99386215,0.0012208162,0.0033161228,0.00023539152,0.0008162911,0.00054932013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006868525,0.00031156314,0.00025656063,0.0015659962,0.0003230867,0.0016098522,0.0001552788,0.00035911112,0.0055221086],"category_scores_gemma":[0.0048682187,0.00009026361,0.00037417997,0.0020164896,0.00032522,0.0007666624,0.00083806406,0.00041968332,0.00083077577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004769744,0.00007115205,0.9814463,0.00003749021,0.00006551128,0.00026368967,0.00016772584,0.00028339023,0.000519386,0.0004746543,0.0006044536,0.016018575],"study_design_scores_gemma":[0.0000026390574,0.0000646248,0.99663,0.000026935899,0.000031915137,0.00012627871,0.00045853955,0.00040606302,0.00046108512,0.00018395745,0.0016015741,0.000006327764],"about_ca_topic_score_codex":0.0036259312,"about_ca_topic_score_gemma":0.0059958976,"teacher_disagreement_score":0.0055221086,"about_ca_system_score_codex":0.0006294112,"about_ca_system_score_gemma":0.00052364316,"threshold_uncertainty_score":0.018473268},"labels":[],"label_agreement":null},{"id":"W3012432108","doi":"10.5430/ijfr.v11n2p218","title":"The Role of External Audit in View of Sudden Financial Collapses on the Jordanian Commercial Banks Sector","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Value (mathematics); Deception; Accounting; External auditor; Business; Statistics; Psychology; Mathematics; Social psychology; Internal audit","score_opus":0.04594701638486363,"score_gpt":0.3109293876833129,"score_spread":0.26498237129844926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012432108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898693,0.0006512925,0.00014435912,0.0029495694,0.000028873941,0.000021325952,0.000046882637,0.000010180775,0.006278187],"genre_scores_gemma":[0.9988846,0.0003525537,0.000055342738,0.000118357624,0.000014910191,0.0000027279386,0.000018977988,0.000001128318,0.00055145647],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99623424,0.001943952,0.00020261864,0.00015361788,0.000810865,0.00065467384],"domain_scores_gemma":[0.97130424,0.008181456,0.012072832,0.0004961243,0.0045806267,0.0033647465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033117787,0.00018989913,0.00022095475,0.0010605004,0.0008264206,0.0025850097,0.0003422804,0.00070987304,0.0032049394],"category_scores_gemma":[0.015938137,0.00014771559,0.00022923727,0.0006590315,0.0009915375,0.001112069,0.001273924,0.0010879604,0.00030621068],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026913092,0.00033529184,0.9260788,0.00023250881,0.000057693665,0.0025090678,0.010907976,0.0006527603,0.0010391052,0.0010233033,0.0032929985,0.05360121],"study_design_scores_gemma":[0.000008554868,0.0003118303,0.9480171,0.00023838782,0.000027758324,0.001099798,0.043827567,0.000901609,0.0005401231,0.00039978832,0.0045968164,0.0000306444],"about_ca_topic_score_codex":0.00471332,"about_ca_topic_score_gemma":0.0065909736,"teacher_disagreement_score":0.00471332,"about_ca_system_score_codex":0.0013714697,"about_ca_system_score_gemma":0.0025395863,"threshold_uncertainty_score":0.017514586},"labels":[],"label_agreement":null},{"id":"W3012538875","doi":"10.5430/ijfr.v11n2p348","title":"Does Auditing Committee Characteristics Enhance Corporate Value? Evidence From Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Audit committee; Stock exchange; Business; Audit; Independence (probability theory); Sample (material); Corporate governance; Variables; Value (mathematics); Return on assets; Transparency (behavior); Order (exchange); Finance; Statistics; Mathematics; Political science","score_opus":0.09806091248394472,"score_gpt":0.3535977140268071,"score_spread":0.2555368015428624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012538875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99605787,0.0014357128,0.00007072327,0.00050120644,0.0000068182526,0.000008815358,0.000068728594,0.0000015082853,0.0018487894],"genre_scores_gemma":[0.9981832,0.0010520215,0.00009103601,0.000117392934,0.000024024295,0.0000046734644,0.00009242968,0.0000019582521,0.00043329308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775475,0.0010562632,0.0001668205,0.00021347738,0.00057352346,0.00023510432],"domain_scores_gemma":[0.97100544,0.01063614,0.011986428,0.0009878506,0.003902268,0.001481939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004358362,0.00024274104,0.00030401535,0.0014006117,0.00050375913,0.0013968645,0.0005425047,0.00042027904,0.0027671733],"category_scores_gemma":[0.011871996,0.00017981802,0.0004957431,0.0016471933,0.00074317964,0.0010729005,0.0008721839,0.0004963741,0.0003285251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002662815,0.0002658481,0.9770462,0.00018351473,0.00016495255,0.0001979814,0.0016709277,0.00013217112,0.00012782482,0.0003645219,0.00047993704,0.01909982],"study_design_scores_gemma":[0.000022465987,0.0002563,0.9913708,0.00020012185,0.00012711677,0.00015756789,0.005109696,0.0002228904,0.00026947423,0.00019477664,0.0020593125,0.000009526715],"about_ca_topic_score_codex":0.0065634036,"about_ca_topic_score_gemma":0.010225788,"teacher_disagreement_score":0.0065634036,"about_ca_system_score_codex":0.00074420194,"about_ca_system_score_gemma":0.001822162,"threshold_uncertainty_score":0.023049533},"labels":[],"label_agreement":null},{"id":"W3012560926","doi":"10.5430/ijfr.v11n2p196","title":"Factors Affecting the Indonesia Stock Exchange: A Multi-Index Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Stock exchange; Composite index; Stock market index; Economics; Hang; Capital market; Stock market; Indonesian; Monetary economics; Geography; Finance; Engineering","score_opus":0.16419467402898075,"score_gpt":0.33880061777564474,"score_spread":0.174605943746664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012560926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99047405,0.0006531363,0.0030101328,0.00019882541,0.000032580974,0.000067961206,0.00067180675,0.000038176775,0.004853362],"genre_scores_gemma":[0.99684465,0.00023681141,0.001572665,0.000018154977,0.000054673692,0.000028478096,0.0005606932,0.000006937093,0.00067691685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989636,0.00029244495,0.00012662172,0.00018940838,0.00033518588,0.00009279404],"domain_scores_gemma":[0.9970969,0.0011171113,0.0010488682,0.00014628039,0.0003445869,0.00024623325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016166985,0.00076663133,0.0006440615,0.004386256,0.0004819032,0.0022740243,0.00047725227,0.00052684854,0.0021675704],"category_scores_gemma":[0.0032788476,0.00023310362,0.0010738581,0.0038292229,0.00032374836,0.0012720035,0.00095388247,0.0007793683,0.0003807812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012086332,0.00015178406,0.9801011,0.000037744117,0.00036786206,0.0003815758,0.00021220875,0.00340462,0.00067349337,0.00056267186,0.00031623323,0.013669851],"study_design_scores_gemma":[0.0000066477337,0.00016992989,0.96974885,0.000022142658,0.00015367984,0.00016635621,0.00044451773,0.027727593,0.000363328,0.00046698956,0.0007058652,0.000024030265],"about_ca_topic_score_codex":0.0054213945,"about_ca_topic_score_gemma":0.004426741,"teacher_disagreement_score":0.0054213945,"about_ca_system_score_codex":0.00068888604,"about_ca_system_score_gemma":0.0005163744,"threshold_uncertainty_score":0.010779679},"labels":[],"label_agreement":null},{"id":"W3013116806","doi":"10.5430/ijfr.v11n2p382","title":"Working Capital Management and Return on Assets of Manufacturing Industry of Peru","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Working capital; Profitability index; Stock exchange; Business; Leverage (statistics); Return on assets; Finance; Sample (material); Current liability; Payment; Weighted average return on assets; Return on capital employed; Economics; Profit (economics); Financial capital; Capital formation; Microeconomics; Computer science","score_opus":0.06183445622889764,"score_gpt":0.30677469560137843,"score_spread":0.2449402393724808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013116806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986651,0.00008598461,0.00004852065,0.00004548371,4.4189005e-7,0.0000021640517,0.00006047673,0.0000018886429,0.0010899259],"genre_scores_gemma":[0.99939,0.000077818004,0.00004707162,0.00000388602,0.0000018105311,0.0000018171164,0.00008876338,4.2090025e-7,0.00038834047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999013,0.000023289927,0.000008063781,0.000011302556,0.000025174491,0.00003081062],"domain_scores_gemma":[0.99876815,0.00023279924,0.0006988448,0.00005007596,0.00013258962,0.00011744078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023538143,0.00010419505,0.00008911295,0.000991215,0.00031989912,0.00075123156,0.00018215041,0.00017576618,0.001802872],"category_scores_gemma":[0.0015465344,0.00006160006,0.000098640645,0.00077852583,0.00019291697,0.0005117842,0.0005487676,0.00018012947,0.00021517661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018244356,0.000046554756,0.9889086,0.000015305435,0.000015591064,0.0002609012,0.0013838557,0.00015751929,0.00048455567,0.0002651321,0.00011939939,0.008324372],"study_design_scores_gemma":[6.528961e-7,0.000042870724,0.9971091,0.000007661752,0.000004769892,0.00015887672,0.0013593057,0.00031989688,0.00010904244,0.0001214992,0.00076429377,0.0000020137522],"about_ca_topic_score_codex":0.004938583,"about_ca_topic_score_gemma":0.007218626,"teacher_disagreement_score":0.004938583,"about_ca_system_score_codex":0.0002907052,"about_ca_system_score_gemma":0.00020533282,"threshold_uncertainty_score":0.009819627},"labels":[],"label_agreement":null},{"id":"W3013126141","doi":"10.5430/ijfr.v11n2p371","title":"The Efficiency of Applying the Internal Control Components Based on COSO Framework to Transparently Carry out Tasks and Services, Ensure Integrity and Enhance Quality and Efficiency: Case Study - The Greater Amman Municipality","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Control (management); Quality (philosophy); Audit; Internal control; Control environment; Business; Computer science; Operations management; Risk analysis (engineering); Internal audit; Environmental economics; Accounting; Engineering; Economics","score_opus":0.07865163707799795,"score_gpt":0.374002940144331,"score_spread":0.29535130306633306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013126141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740666,0.00020215064,0.004248364,0.0006865159,0.000016177562,0.00041277998,0.000057409827,0.00007070768,0.020239284],"genre_scores_gemma":[0.9918492,0.00012867566,0.0047295303,0.000046494562,0.000005737073,0.0000699875,0.000044215984,0.000015646732,0.003110477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9854059,0.007695128,0.0008608877,0.0007805061,0.003434214,0.0018233077],"domain_scores_gemma":[0.9792407,0.0051645874,0.0047478373,0.003055126,0.0063559203,0.0014357839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011683205,0.0004536672,0.00033417568,0.00203866,0.0033356654,0.0051026037,0.00084256125,0.0008687198,0.0023299505],"category_scores_gemma":[0.015555312,0.0002683733,0.0003380969,0.003356958,0.0027348956,0.0018874084,0.0029052927,0.0009646455,0.00036657526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007676993,0.0021926754,0.5019338,0.0012248862,0.00019023631,0.0062589953,0.07353633,0.018468905,0.014591674,0.049146783,0.0062285466,0.32545945],"study_design_scores_gemma":[0.0001201816,0.0019354688,0.6276631,0.00086189376,0.00022039631,0.0021490182,0.2122556,0.018986318,0.014689239,0.006386511,0.11446481,0.00026746912],"about_ca_topic_score_codex":0.039554738,"about_ca_topic_score_gemma":0.05998011,"teacher_disagreement_score":0.039554738,"about_ca_system_score_codex":0.007731206,"about_ca_system_score_gemma":0.013120802,"threshold_uncertainty_score":0.078649044},"labels":[],"label_agreement":null},{"id":"W3013186770","doi":"10.5430/ijfr.v11n2p424","title":"IFRS and Financial Performance: Study in the French Context","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Index (typography); Context (archaeology); Financial ratio; International Financial Reporting Standards; Business; Structural equation modeling; Economics; Financial system; Mathematics; Statistics","score_opus":0.047625364188204566,"score_gpt":0.31957274308177336,"score_spread":0.2719473788935688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013186770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795775,0.0068143406,0.00024156884,0.0020873589,0.000034544228,0.000009897502,0.00040321954,0.000013429279,0.010818142],"genre_scores_gemma":[0.9967038,0.0017345535,0.000111154906,0.00013061038,0.000096987096,0.000004211417,0.00021545209,0.0000028887175,0.001000312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776316,0.00087535055,0.00009223892,0.00021642324,0.00046775292,0.0005851173],"domain_scores_gemma":[0.991096,0.0034909223,0.003541192,0.00023735936,0.0010710768,0.0005633439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021482583,0.00043244532,0.000445364,0.002795651,0.00072312437,0.0023786407,0.00034902192,0.00081130874,0.0038717333],"category_scores_gemma":[0.0046373447,0.000099063705,0.0007016226,0.0038934278,0.001156196,0.00076076086,0.0008696193,0.0008578659,0.0003774601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022362072,0.00039554475,0.9362617,0.00017384502,0.00024175156,0.0009215111,0.0018299896,0.0013543178,0.00031547967,0.007978466,0.0014311768,0.048872616],"study_design_scores_gemma":[0.000009467356,0.00022599229,0.9895573,0.00012699114,0.000075808115,0.00024247052,0.001622157,0.00061839446,0.0001569614,0.00031276557,0.007036753,0.000015035859],"about_ca_topic_score_codex":0.14078352,"about_ca_topic_score_gemma":0.08127216,"teacher_disagreement_score":0.14078352,"about_ca_system_score_codex":0.0042023617,"about_ca_system_score_gemma":0.002604494,"threshold_uncertainty_score":0.27992815},"labels":[],"label_agreement":null},{"id":"W3013693758","doi":"10.5430/ijfr.v11n2p416","title":"A Decade After the Global Financial Crisis: Lessons and Policy for International Stability","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Contemporary and Historical Greek Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Polity; Order (exchange); Unintended consequences; Great Depression; Financial stability; Economics; Financial system; Economic policy; Shock (circulatory); Business; Political science; Finance; Macroeconomics; Politics","score_opus":0.18756796424901084,"score_gpt":0.4837937629090722,"score_spread":0.2962257986600614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013693758","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02283671,0.09047137,0.000727884,0.8303138,0.0054725446,0.000016509506,0.00027399996,0.000038942744,0.04984836],"genre_scores_gemma":[0.7333506,0.12691052,0.0013054317,0.11561946,0.005849353,0.00008767401,0.00038137863,0.00006182265,0.01643382],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99911445,0.00027157238,0.000034173976,0.000087410146,0.00010195558,0.0003903823],"domain_scores_gemma":[0.997849,0.00041690015,0.00029205123,0.00008174084,0.00034226113,0.0010180902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024307799,0.00033975788,0.0004881609,0.00079866714,0.0033150588,0.0076480852,0.0006860142,0.0066071656,0.010441568],"category_scores_gemma":[0.004540815,0.00011430556,0.00039589376,0.0013719506,0.004987068,0.011074082,0.0034129089,0.006742543,0.0011218939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002648959,0.0002205024,0.0047125127,0.0006509507,0.000044359083,0.00086997275,0.007704192,0.0006486349,0.0005474877,0.6600145,0.19217639,0.13214564],"study_design_scores_gemma":[0.00004821315,0.00016392293,0.0148294605,0.00383888,0.00004607108,0.00037194646,0.038916763,0.0004469487,0.00036776863,0.30702382,0.63387036,0.00007590964],"about_ca_topic_score_codex":0.009287982,"about_ca_topic_score_gemma":0.012832414,"teacher_disagreement_score":0.010441568,"about_ca_system_score_codex":0.004327794,"about_ca_system_score_gemma":0.010851816,"threshold_uncertainty_score":0.034930527},"labels":[],"label_agreement":null},{"id":"W3013783502","doi":"10.5430/ijfr.v11n2p390","title":"A Test of Return Predictability in the Vietnamese Stock Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Vietnamese; Stock market; Predictability; Volatility (finance); Financial economics; Economics; Business; Stock (firearms); Market depth; Market efficiency; Monetary economics; Context (archaeology)","score_opus":0.10481424994053115,"score_gpt":0.331364731741912,"score_spread":0.22655048180138085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013783502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997143,0.00002605818,0.0011759768,0.00009786493,0.0000073366923,0.000006862657,0.000089742716,0.000008125766,0.0014449809],"genre_scores_gemma":[0.9996803,0.000007360905,0.000099269164,0.0000056162144,0.000006987339,0.0000019363802,0.00009665826,0.00000142454,0.00010043462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983405,0.0006343643,0.00015086238,0.00031890848,0.00030436844,0.00025098008],"domain_scores_gemma":[0.9737673,0.019182255,0.0035537896,0.0012893229,0.0012387251,0.000968689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003135089,0.00028047423,0.0002927534,0.0009848736,0.00035262128,0.0009250226,0.00030255283,0.00029948726,0.0022546505],"category_scores_gemma":[0.02043217,0.00013952614,0.00041943393,0.00059695635,0.00073816965,0.0009697732,0.00069212174,0.0005649455,0.00019631811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026724735,0.00015984738,0.9707911,0.00002295527,0.0002232043,0.0003434115,0.00039802538,0.005788734,0.0020427874,0.004869118,0.00045154602,0.014641936],"study_design_scores_gemma":[0.00002965645,0.00060431025,0.8870068,0.00001038078,0.00006941947,0.00023125768,0.00062797585,0.105453834,0.0013127861,0.0041051283,0.0005252502,0.000023179193],"about_ca_topic_score_codex":0.0042629666,"about_ca_topic_score_gemma":0.0017805108,"teacher_disagreement_score":0.0042629666,"about_ca_system_score_codex":0.00038165922,"about_ca_system_score_gemma":0.0008004267,"threshold_uncertainty_score":0.016580105},"labels":[],"label_agreement":null},{"id":"W3013809985","doi":"10.5430/ijfr.v11n2p405","title":"The Personality Factor of Conscientiousness on Skills Requirement and Fraud Risk Assessment Performance","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conscientiousness; Accounting; Forensic accounting; Audit; Business; Public sector; Competence (human resources); Moderation; Personality; Big Five personality traits; Public relations; Psychology; Political science; Extraversion and introversion; Social psychology","score_opus":0.0526298566478938,"score_gpt":0.3557141990235927,"score_spread":0.3030843423756989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013809985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979838,0.000054299337,0.00012819338,0.00011971487,0.000006933757,0.000008628097,0.000018509741,0.0000024867077,0.0016775198],"genre_scores_gemma":[0.9994272,0.00003257413,0.00010715723,0.000023120667,0.0000061420747,0.0000058694563,0.000026748412,7.529041e-7,0.00037043306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882716,0.0004084951,0.00008773054,0.000110140165,0.00030074498,0.00026568995],"domain_scores_gemma":[0.9852754,0.0057514543,0.0045176907,0.0008707404,0.0010838271,0.002500878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015531391,0.00033115517,0.00021359533,0.00077942136,0.00061552646,0.0012428553,0.00023824032,0.00040575553,0.0033344436],"category_scores_gemma":[0.009038297,0.00013996614,0.00045165792,0.0004999318,0.00073779194,0.0004754918,0.0009764824,0.0008717548,0.00031306202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012497276,0.0005517942,0.97961295,0.000030556606,0.00006950922,0.00022629775,0.0022486548,0.00022857235,0.0006263187,0.000545652,0.0002445413,0.015490092],"study_design_scores_gemma":[0.000005694792,0.00009503938,0.997806,0.000018797002,0.000014365711,0.000069636684,0.00091160054,0.00045451344,0.00008871995,0.00025991877,0.000269034,0.000006615866],"about_ca_topic_score_codex":0.0038650045,"about_ca_topic_score_gemma":0.0042936187,"teacher_disagreement_score":0.0038650045,"about_ca_system_score_codex":0.0005425308,"about_ca_system_score_gemma":0.0012610393,"threshold_uncertainty_score":0.011154771},"labels":[],"label_agreement":null},{"id":"W3014024536","doi":"10.5430/ijfr.v11n2p436","title":"Applicability of Forensic Accounting to Reduce Fraud and its Effects on Financial Statement of Jordanian Shareholding Companies From the Perspective of Judiciary and Certified Public Accountant","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Forensic accounting; Certification; Business; Audit; Financial statement; Sample (material); External auditor; Descriptive statistics; Test (biology); Order (exchange); Public interest; Public relations; Finance; Political science; Law; Internal audit","score_opus":0.08225606854901335,"score_gpt":0.34370340981738695,"score_spread":0.2614473412683736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014024536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9189102,0.0035754151,0.003758091,0.01619064,0.000109515364,0.00023540342,0.000045204695,0.00004852814,0.05712696],"genre_scores_gemma":[0.99401045,0.0013776567,0.0021515277,0.0006826789,0.000041304895,0.00002272973,0.000017749364,0.000004216672,0.0016916806],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9870183,0.006568265,0.00070283737,0.0003370286,0.004266794,0.0011069041],"domain_scores_gemma":[0.9735074,0.008171371,0.007336493,0.0015588531,0.00792715,0.0014987563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010690711,0.00034519445,0.00023789961,0.0017849972,0.0024228457,0.0038688895,0.000809982,0.0010981079,0.0029807861],"category_scores_gemma":[0.026489917,0.00013220147,0.00036379832,0.0010375709,0.0026173312,0.0019822847,0.0029564055,0.0011280692,0.00029614253],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018928283,0.0012709247,0.2634309,0.0012295761,0.00012239341,0.003011972,0.043997616,0.0025880372,0.00562029,0.03109799,0.008020381,0.63942057],"study_design_scores_gemma":[0.00006676395,0.0014958446,0.62241894,0.003789595,0.00020425499,0.00396393,0.20306441,0.0067145983,0.012005392,0.020075679,0.1259826,0.00021804422],"about_ca_topic_score_codex":0.003695143,"about_ca_topic_score_gemma":0.0057550953,"teacher_disagreement_score":0.010690711,"about_ca_system_score_codex":0.0017618604,"about_ca_system_score_gemma":0.0067197355,"threshold_uncertainty_score":0.056538522},"labels":[],"label_agreement":null},{"id":"W3015016500","doi":"10.5430/ijfr.v11n2p453","title":"Banking Competition and Efficiency: The Case of Vietnamese Banking Industry","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lerner index; Competition (biology); Market power; Vietnamese; Economics; Panel data; Banking industry; Monetary economics; Empirical research; Econometrics; Business; Industrial organization; Financial system; Microeconomics; Statistics","score_opus":0.07207975802153985,"score_gpt":0.33530120312714806,"score_spread":0.2632214451056082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015016500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98920536,0.00063264463,0.0007039804,0.00076591055,0.0000051032193,0.000016564069,0.00005149971,0.0000022658987,0.0086165555],"genre_scores_gemma":[0.9992399,0.00015425411,0.00007488528,0.000024125628,0.000006887025,0.0000025969296,0.000023442484,7.3021e-7,0.00047323544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990435,0.00039206524,0.00003059261,0.00010145921,0.00011318701,0.00031913916],"domain_scores_gemma":[0.9960598,0.0022201631,0.0007909309,0.000079456426,0.00046411474,0.00038556653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010504574,0.00017231701,0.00034380326,0.0013534185,0.0007576261,0.0020516054,0.00033947488,0.0006822909,0.0038876885],"category_scores_gemma":[0.0027647126,0.00011778299,0.00037016018,0.0013575321,0.0011667741,0.0013279269,0.0009756613,0.0006187414,0.00018486017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025015662,0.00059972156,0.8644598,0.00023794745,0.00019032473,0.007101513,0.0050911736,0.022902537,0.0011023484,0.07269238,0.0015634461,0.023808762],"study_design_scores_gemma":[0.00007440342,0.0005373337,0.8390395,0.000240308,0.00018285,0.0017686576,0.0314147,0.09224209,0.0009914024,0.02571444,0.007725304,0.00006892245],"about_ca_topic_score_codex":0.0389294,"about_ca_topic_score_gemma":0.029346516,"teacher_disagreement_score":0.0389294,"about_ca_system_score_codex":0.001958957,"about_ca_system_score_gemma":0.0014294569,"threshold_uncertainty_score":0.07740563},"labels":[],"label_agreement":null},{"id":"W3021756993","doi":"10.5430/ijfr.v4n2p68","title":"States as LBO Specialists: Evidence from Portugal","year":2013,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Restructuring; Portuguese; De facto; Sample (material); Abnormal return; Business; Investment (military); Work (physics); Accounting; Value (mathematics); Economics; Financial system; Monetary economics; Finance; Political science; Law","score_opus":0.08276227373980993,"score_gpt":0.3683141096798516,"score_spread":0.2855518359400417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021756993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843629,0.00048517782,0.00008349056,0.00033977974,0.000011739685,0.000013729586,0.0005748245,0.0000038144155,0.014124511],"genre_scores_gemma":[0.9982724,0.00038819265,0.00004505388,0.00009428441,0.000018366789,0.00000546892,0.0004132825,0.000004468517,0.00075858657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984067,0.00040703858,0.00011572157,0.00021628028,0.0004440738,0.00041028892],"domain_scores_gemma":[0.988884,0.0034779625,0.0054750172,0.0007055442,0.00074669824,0.000710786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015330958,0.0002081814,0.00034507105,0.002062036,0.0011252905,0.001849055,0.00042825416,0.0008239987,0.0034397529],"category_scores_gemma":[0.007202075,0.000286175,0.00029173502,0.002969331,0.0013138771,0.0007200629,0.001344416,0.00063799246,0.00037386123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036369514,0.00028305707,0.96230876,0.00030405697,0.000107819294,0.0010481365,0.010552808,0.00031882437,0.0003857168,0.003873995,0.0024071555,0.018045845],"study_design_scores_gemma":[0.000024659574,0.000100703925,0.97867715,0.00018321951,0.000049924467,0.00053973554,0.011588807,0.0002686437,0.00025560314,0.0002787502,0.008017833,0.000014939837],"about_ca_topic_score_codex":0.02891035,"about_ca_topic_score_gemma":0.054687336,"teacher_disagreement_score":0.02891035,"about_ca_system_score_codex":0.000837868,"about_ca_system_score_gemma":0.0009774705,"threshold_uncertainty_score":0.05748415},"labels":[],"label_agreement":null},{"id":"W3038218862","doi":"10.5430/ijfr.v11n4p1","title":"Earnings Transparency and Financial Analysts’ Target Price Forecasts","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings; Transparency (behavior); Stock price; Earnings response coefficient; Stock (firearms); Economics; Post-earnings-announcement drift; Econometrics; Financial economics; Business; Accounting","score_opus":0.03885582205301198,"score_gpt":0.30140469862142166,"score_spread":0.2625488765684097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038218862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945727,0.00029342045,0.0013024615,0.0005225884,0.000017925342,0.000008611506,0.00013508975,0.000026526675,0.0031207127],"genre_scores_gemma":[0.9995802,0.000052995027,0.00014740974,0.000018667979,0.000018860079,0.0000011195671,0.00006463395,0.0000025111062,0.00011367501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99600947,0.001453371,0.0004519313,0.00034151188,0.0014860528,0.00025765816],"domain_scores_gemma":[0.72123736,0.13431068,0.12649389,0.005814475,0.009817099,0.0023264966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061202287,0.00023045398,0.00018825315,0.0011092087,0.00030767414,0.001692541,0.00022148162,0.00055317156,0.0014267898],"category_scores_gemma":[0.096991286,0.00016361284,0.0002684767,0.0008532993,0.0004316249,0.0022632193,0.0007340134,0.0010257263,0.00030635812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003125843,0.000108871434,0.97816956,0.000024655505,0.00011977605,0.00009167491,0.0009107851,0.0031847286,0.0006608776,0.00079147704,0.0005078823,0.015117032],"study_design_scores_gemma":[0.000017078408,0.0001523823,0.9855823,0.00003217716,0.00006113785,0.00015100323,0.00074626546,0.009316655,0.0011338632,0.0020085443,0.0007602538,0.000038306476],"about_ca_topic_score_codex":0.0036695283,"about_ca_topic_score_gemma":0.0033605162,"teacher_disagreement_score":0.0061202287,"about_ca_system_score_codex":0.0004949971,"about_ca_system_score_gemma":0.0005106817,"threshold_uncertainty_score":0.03236729},"labels":[],"label_agreement":null},{"id":"W3038263084","doi":"10.5430/ijfr.v11n4p165","title":"Estimation of Benefits and Difficulties When Applying IFRS in Vietnam: From Business Perspective","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Accounting; Viet nam; Perspective (graphical); Economics","score_opus":0.03736310181291751,"score_gpt":0.3001448845720917,"score_spread":0.2627817827591742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038263084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974464,0.000055790904,0.00011258568,0.00024007766,0.0000029922942,0.000025251878,0.000110068075,0.0000012089201,0.0020055366],"genre_scores_gemma":[0.9990909,0.000080867714,0.00012076208,0.000021088303,0.0000031545164,0.000007565199,0.0000890797,7.283694e-7,0.0005858753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978103,0.00070455455,0.00025859463,0.00012808079,0.0006225879,0.0004759142],"domain_scores_gemma":[0.98818845,0.003316617,0.0052338685,0.0002898235,0.0019203346,0.0010509177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002957405,0.00016438222,0.0001825679,0.001187832,0.00057379977,0.0013825571,0.00023814676,0.00028934894,0.0032335555],"category_scores_gemma":[0.009354476,0.00016911943,0.0003342375,0.0012640132,0.00058260205,0.0010737292,0.0009200778,0.0005928684,0.00026016735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020019774,0.00006531198,0.9888045,0.000032047512,0.000010086351,0.00019720368,0.003371734,0.00017104016,0.00013464934,0.00029762898,0.00022322037,0.0066725397],"study_design_scores_gemma":[0.0000021295698,0.00007033038,0.9705419,0.000047950725,0.000008363142,0.00013194408,0.026525723,0.000841507,0.00020038492,0.00013169742,0.0014884741,0.000009504304],"about_ca_topic_score_codex":0.025604496,"about_ca_topic_score_gemma":0.030771062,"teacher_disagreement_score":0.025604496,"about_ca_system_score_codex":0.0015024301,"about_ca_system_score_gemma":0.002103344,"threshold_uncertainty_score":0.05091089},"labels":[],"label_agreement":null},{"id":"W3038412538","doi":"10.5430/ijfr.v11n3p92","title":"Credit Management in Full-Fledged Islamic Bank and Islamic Banking Window: Towards Achieving Maqasid Al-Shariah","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Islam; Business; Profitability index; Bankruptcy; Market liquidity; Insolvency; Payment; Finance; Financial system; Accounting","score_opus":0.04393707957833418,"score_gpt":0.3255157269252872,"score_spread":0.281578647346953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038412538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98944,0.00039339712,0.0003649186,0.0015555923,0.000025030367,0.000059319897,0.0000069817866,0.000008125535,0.008146591],"genre_scores_gemma":[0.997407,0.0002610141,0.0006645109,0.00017161039,0.000007856128,0.0000137294,0.0000062599156,0.0000011512041,0.0014668895],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910283,0.000420158,0.000038539856,0.0000598971,0.00014497484,0.00023364338],"domain_scores_gemma":[0.99881494,0.00018548856,0.0002640803,0.000045975696,0.00018019121,0.000509354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002304337,0.00019755405,0.00013106191,0.00030207643,0.0023782842,0.0023820424,0.0005136149,0.0008719105,0.0018028008],"category_scores_gemma":[0.0017662664,0.00016322143,0.00014064631,0.00033295518,0.0013767325,0.0016797532,0.0020209048,0.00091501547,0.00023499777],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039449238,0.0026914745,0.23808515,0.0006548456,0.000037692138,0.0061345515,0.35009056,0.0010759514,0.01998492,0.028283922,0.009745689,0.34282073],"study_design_scores_gemma":[0.000063826876,0.0012406631,0.37536803,0.00069727557,0.000035997928,0.0024589624,0.55028933,0.0017617191,0.00396002,0.004327945,0.0597215,0.000074799864],"about_ca_topic_score_codex":0.0021974633,"about_ca_topic_score_gemma":0.004320606,"teacher_disagreement_score":0.0023820424,"about_ca_system_score_codex":0.0011669352,"about_ca_system_score_gemma":0.004774445,"threshold_uncertainty_score":0.012186587},"labels":[],"label_agreement":null},{"id":"W3038418585","doi":"10.5430/ijfr.v11n3p125","title":"Study Loan Defaults Among Tertiary Graduates","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Default; Loan; Marital status; Non-conforming loan; Tertiary level; Business; Participation loan; Student loan; Higher education; Bridge loan; Non-performing loan; Finance; Demographic economics; Economic growth; Economics; Psychology; Demography; Sociology","score_opus":0.07700734483539,"score_gpt":0.35466071779316927,"score_spread":0.27765337295777925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038418585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946123,0.00006636799,0.000012295228,0.00014471819,0.000002602429,0.0000051009292,0.000038625923,0.0000010070587,0.00026806362],"genre_scores_gemma":[0.99954,0.00008363391,0.00001156569,0.000050886665,0.0000047638423,0.000003902128,0.000035460136,4.8882e-7,0.00026928162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995435,0.000090244735,0.00007339392,0.000056974313,0.00012192507,0.000113991075],"domain_scores_gemma":[0.99729615,0.00033959825,0.0010913297,0.00010977781,0.0003053574,0.0008578412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078050466,0.00010365239,0.00023014877,0.0006803031,0.00053179625,0.0005765906,0.00020939777,0.00040418605,0.004436279],"category_scores_gemma":[0.0037612484,0.0001162472,0.00025917654,0.00048909266,0.0003718772,0.0005212103,0.0007212128,0.00063342147,0.00047695485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024930536,0.00007582692,0.9949646,0.000013421212,0.000004483858,0.00024692484,0.0017825329,0.000006228867,0.00015536092,0.000027746006,0.00026672706,0.0024311568],"study_design_scores_gemma":[0.000002420763,0.00011887894,0.99364895,0.000030719162,0.0000054676066,0.00044958454,0.0051843086,0.000046657355,0.000067671965,0.000032761214,0.00040877072,0.000003773075],"about_ca_topic_score_codex":0.0039110472,"about_ca_topic_score_gemma":0.0058821975,"teacher_disagreement_score":0.004436279,"about_ca_system_score_codex":0.00034718704,"about_ca_system_score_gemma":0.0005112679,"threshold_uncertainty_score":0.014840841},"labels":[],"label_agreement":null},{"id":"W3038481419","doi":"10.5430/ijfr.v11n4p23","title":"The Influential Factors on Capital Structure: A Study on Portuguese High Technology and Medium-High Technology Small and Medium-Sized Enterprises","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Pecking order theory; Profitability index; Business; Small and medium-sized enterprises; Industrial organization; Sample (material); Panel data; Debt; Portuguese; Order (exchange); Commerce; Marketing; Finance; Economics","score_opus":0.030335670865371936,"score_gpt":0.2922390070468883,"score_spread":0.2619033361815164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038481419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986083,0.000082277795,0.00017547575,0.00006507754,0.0000017019261,0.000006441128,0.00018732065,0.0000013529719,0.0008720945],"genre_scores_gemma":[0.9992436,0.00009979948,0.000084511616,0.000015568252,0.0000037850668,0.0000041742524,0.00026572085,0.0000011251168,0.00028169277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995832,0.000137466,0.00001713098,0.00005924254,0.000055196422,0.0001477271],"domain_scores_gemma":[0.9974371,0.0015343075,0.00045719216,0.00015525997,0.000107757245,0.00030837703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008345776,0.00023548423,0.00035843323,0.00057461037,0.000525399,0.0009018836,0.00038660114,0.0005025637,0.0021486937],"category_scores_gemma":[0.002074624,0.00021897785,0.0005983599,0.0010059538,0.00031842064,0.0006431227,0.0007930899,0.0005153401,0.00032703415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016108263,0.00047898904,0.9856566,0.00004894481,0.000093687995,0.0009932421,0.0021552392,0.002178498,0.00031444716,0.0006518999,0.0004634258,0.006803884],"study_design_scores_gemma":[0.000008520744,0.00012555771,0.9907176,0.00003669771,0.000031564225,0.00018147923,0.0026406827,0.004618233,0.00017388875,0.00022191026,0.0012351463,0.000008750854],"about_ca_topic_score_codex":0.023505058,"about_ca_topic_score_gemma":0.032829255,"teacher_disagreement_score":0.023505058,"about_ca_system_score_codex":0.00066212105,"about_ca_system_score_gemma":0.0005918618,"threshold_uncertainty_score":0.04673648},"labels":[],"label_agreement":null},{"id":"W3038530614","doi":"10.5430/ijfr.v11n3p43","title":"The Impact of Board Characteristics on Co-operative Reputation From the Lense of Resource-Based View Theory (RBVT)","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Reputation; Diversity (politics); Accounting; Index (typography); Corporate governance; Context (archaeology); Business; Resource-based view; Gender diversity; Resource (disambiguation); Commission; Marketing; Sociology; Political science; Law; Finance; Competitive advantage; Social science; Geography; Computer science","score_opus":0.07028036431911641,"score_gpt":0.3853188784433361,"score_spread":0.3150385141242197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038530614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93317366,0.0008629864,0.0067372415,0.0019613279,0.000058419228,0.000064622334,0.00014275573,0.0000227167,0.056976203],"genre_scores_gemma":[0.9990976,0.00008090945,0.00020158969,0.000029475214,0.000014091218,0.0000057870243,0.000020887048,0.0000017408222,0.00054801576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650216,0.001401887,0.00017492524,0.00040436882,0.00091699115,0.0005996983],"domain_scores_gemma":[0.9687118,0.009818809,0.013512458,0.0014978487,0.0026147994,0.0038443417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030863523,0.000261149,0.0003152415,0.0019590268,0.00091779034,0.003735152,0.00052732637,0.000687229,0.0058433143],"category_scores_gemma":[0.012580665,0.00016999603,0.0004130276,0.0013416429,0.0019151671,0.0021834653,0.0018966214,0.0011612169,0.00043580297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094813535,0.00027981043,0.9333898,0.00012019343,0.00018581726,0.0005406186,0.003043633,0.0016477765,0.00071561406,0.0238489,0.0015238692,0.034609206],"study_design_scores_gemma":[0.00001729547,0.00031830976,0.9729126,0.0001347883,0.00009634336,0.0002813079,0.0059509343,0.0047221696,0.00038266336,0.011604573,0.0035413487,0.0000377466],"about_ca_topic_score_codex":0.004303109,"about_ca_topic_score_gemma":0.0061342246,"teacher_disagreement_score":0.0058433143,"about_ca_system_score_codex":0.0017236728,"about_ca_system_score_gemma":0.0012855044,"threshold_uncertainty_score":0.01954782},"labels":[],"label_agreement":null},{"id":"W3038748326","doi":"10.5430/ijfr.v11n4p86","title":"Organizational Commitments in Financial Service Audit With Antecedents of Organizational Justice and Job Satisfaction","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organizational commitment; Organizational justice; Audit; Business; Procedural justice; Job satisfaction; Accounting; Context (archaeology); Organizational performance; Public relations; Distributive justice; Psychology; Economic Justice; Social psychology; Marketing; Political science; Economics; Microeconomics","score_opus":0.04172767413370153,"score_gpt":0.3187092775893508,"score_spread":0.27698160345564926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038748326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99790996,0.000028950239,0.00013039124,0.00018992777,0.0000051108786,0.00000926545,0.00001148478,0.0000027540113,0.0017121276],"genre_scores_gemma":[0.9996793,0.000012030169,0.000060239596,0.000022232352,0.0000038933226,0.000005167178,0.000014670688,0.0000013017188,0.00020099504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960985,0.0016203799,0.00025944278,0.00027020887,0.0010344718,0.000716868],"domain_scores_gemma":[0.9640816,0.010861307,0.01428454,0.001547126,0.0025625196,0.0066628377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003136699,0.00017173112,0.00024986305,0.0008648801,0.001299646,0.00183906,0.0003808772,0.00076918077,0.0036728438],"category_scores_gemma":[0.017362503,0.00020903829,0.00036600375,0.0008047022,0.001470415,0.0006040069,0.0017624133,0.0014808049,0.00028920305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108635155,0.00094524963,0.98894966,0.0000147664705,0.000037920487,0.00008464324,0.0020831658,0.00038592803,0.0002738868,0.00084185135,0.00017599491,0.0060984087],"study_design_scores_gemma":[0.000003713465,0.00007214977,0.9966941,0.00000956697,0.000006849108,0.00003539838,0.0019876948,0.00058448594,0.000055945035,0.00036753056,0.00017703665,0.000005503455],"about_ca_topic_score_codex":0.008548023,"about_ca_topic_score_gemma":0.011421461,"teacher_disagreement_score":0.008548023,"about_ca_system_score_codex":0.0010861802,"about_ca_system_score_gemma":0.002038559,"threshold_uncertainty_score":0.016996503},"labels":[],"label_agreement":null},{"id":"W3039039824","doi":"10.5430/ijfr.v11n3p115","title":"Investment Property, Cost Model, Fair Value Model and Value Relevance: Evidence From Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Value (mathematics); Economics; Fair value; Valuation (finance); Market value added; Sample (material); Market value; Investment (military); Enterprise value; Equity value; Historical cost; Return on investment; Econometrics; Depreciation (economics); Intrinsic value (animal ethics); Microeconomics; Statistics; Accounting; Finance; Mathematics","score_opus":0.2259324553552514,"score_gpt":0.4028901737731127,"score_spread":0.17695771841786131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039039824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897747,0.003181818,0.0005910955,0.0005045161,0.00000895398,0.000036883866,0.0001595114,0.000004329036,0.0057381378],"genre_scores_gemma":[0.9983328,0.0010547118,0.00019872095,0.00003691147,0.0000060273856,0.0000047518715,0.00009841811,0.0000015096209,0.0002660908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981692,0.0006756307,0.00018402627,0.000217142,0.000591604,0.00016228943],"domain_scores_gemma":[0.9674787,0.016850516,0.011291635,0.0013106747,0.002468779,0.00059966673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038747687,0.00039682744,0.00038153678,0.0016190453,0.00045154276,0.0021481449,0.0006449389,0.000513519,0.0022513792],"category_scores_gemma":[0.017454395,0.00024223053,0.00060752966,0.0019029306,0.0012110925,0.003036495,0.0008732566,0.0010196359,0.0002626409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003255492,0.0003925068,0.94198775,0.00068261893,0.00023908561,0.0006739794,0.001434376,0.0020998206,0.00020316837,0.0057913093,0.0008949419,0.045275025],"study_design_scores_gemma":[0.000029437782,0.00048349652,0.9737274,0.000706008,0.00029196512,0.00048339536,0.006283212,0.008480564,0.0007541101,0.00423641,0.0044798716,0.00004411702],"about_ca_topic_score_codex":0.01526153,"about_ca_topic_score_gemma":0.015420041,"teacher_disagreement_score":0.01526153,"about_ca_system_score_codex":0.0021183486,"about_ca_system_score_gemma":0.0013474321,"threshold_uncertainty_score":0.03034538},"labels":[],"label_agreement":null},{"id":"W3039057853","doi":"10.5430/ijfr.v11n4p52","title":"Corruption and Tax Noncompliance Variables: An Empirical Investigation From Yemen","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Utara Malaysia","keywords":"Language change; Public economics; Tax revenue; Descriptive statistics; Multicollinearity; Revenue; Business; Indirect tax; Government (linguistics); State income tax; Economics; Tax reform; Regression analysis; Accounting; Statistics","score_opus":0.25190566764277145,"score_gpt":0.39245736892409316,"score_spread":0.14055170128132172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039057853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990735,0.00010470608,0.000041273644,0.00013358628,0.0000022484423,0.000010741909,0.00009271907,0.0000010206094,0.00054014364],"genre_scores_gemma":[0.9987172,0.00022588426,0.00007864073,0.000053650627,0.0000076028064,0.00002311934,0.0002972193,0.0000016373997,0.00059505476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918634,0.0003028637,0.00006925789,0.00006812071,0.000077958415,0.00029562303],"domain_scores_gemma":[0.99758005,0.00097043166,0.0008054535,0.000114900045,0.0003181639,0.00021099581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017336906,0.0004629119,0.0005622705,0.0012534895,0.0015942849,0.001039887,0.00050538837,0.0007411512,0.0046614464],"category_scores_gemma":[0.0027502954,0.00038044938,0.0005972141,0.0023846838,0.00069955346,0.0008617329,0.00073556654,0.0009592555,0.00056929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104065526,0.00044921678,0.98620725,0.000062927866,0.000077299395,0.0010054328,0.004813412,0.00021486495,0.00020019709,0.0005545127,0.00086360244,0.005447013],"study_design_scores_gemma":[0.000014472298,0.00017156189,0.9722384,0.00014650499,0.000077168246,0.00025047644,0.023500249,0.0017223017,0.00022504506,0.00008408438,0.0015574418,0.0000123407635],"about_ca_topic_score_codex":0.03633703,"about_ca_topic_score_gemma":0.043744337,"teacher_disagreement_score":0.03633703,"about_ca_system_score_codex":0.001648406,"about_ca_system_score_gemma":0.0017087596,"threshold_uncertainty_score":0.07225102},"labels":[],"label_agreement":null},{"id":"W3039197206","doi":"10.5430/ijfr.v11n3p155","title":"Factors Influencing Job Stress Among Malaysian Traffic Police Officers","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Workload; Likert scale; Traffic police; Applied psychology; Psychology; Scale (ratio); Work–life balance; Work (physics); Engineering; Medicine; Computer science; Nursing","score_opus":0.18549050552937027,"score_gpt":0.4897888217431444,"score_spread":0.3042983162137741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039197206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981869,0.0004830731,0.000028202123,0.00027139997,0.000015657226,0.000013145608,0.00005589087,0.0000013855766,0.0009441629],"genre_scores_gemma":[0.99880946,0.0007214077,0.00004297997,0.000052491785,0.000017254377,0.000011029392,0.00004859028,9.64774e-7,0.00029590382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951017,0.0001388299,0.00006557435,0.000037603822,0.00012361266,0.00012431262],"domain_scores_gemma":[0.9986432,0.0002145058,0.0006177063,0.000030311603,0.0002058044,0.00028835746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005478089,0.00023631938,0.00022075365,0.0007839574,0.0011123992,0.0008279573,0.00016323684,0.00034436892,0.001835251],"category_scores_gemma":[0.0028328975,0.0002033843,0.00022150064,0.0006002073,0.00032582946,0.0002986695,0.00044309572,0.00039168613,0.00021800247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043429274,0.000115549716,0.9844285,0.00013202374,0.000027832506,0.00040836996,0.0053957584,0.000044698863,0.00041567546,0.00006527315,0.0005228504,0.0084000025],"study_design_scores_gemma":[0.0000016015623,0.00008691963,0.9877703,0.00009402519,0.00001087267,0.00021106699,0.0108980015,0.000050701656,0.000046653175,0.00003705583,0.00078548706,0.0000073038827],"about_ca_topic_score_codex":0.009256094,"about_ca_topic_score_gemma":0.014208487,"teacher_disagreement_score":0.009256094,"about_ca_system_score_codex":0.0003694674,"about_ca_system_score_gemma":0.00091302075,"threshold_uncertainty_score":0.018404424},"labels":[],"label_agreement":null},{"id":"W3039207111","doi":"10.5430/ijfr.v11n3p84","title":"The Likelihood of Fraudulent Financial Reporting: The New Implementation of Malaysian Code of Corporate Governance (MCCG) 2017","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Business; Corporate governance; Remuneration; Transparency (behavior); Proxy (statistics); Compliance (psychology); Valuation (finance); Finance","score_opus":0.11327009670116198,"score_gpt":0.36010580967640465,"score_spread":0.24683571297524268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039207111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99320036,0.00023452291,0.0003291404,0.0020271372,0.000028338129,0.00005810493,0.0003070648,0.000010105051,0.0038053254],"genre_scores_gemma":[0.99901843,0.00012536651,0.00023843192,0.00011994325,0.000014924025,0.000014641861,0.00013089034,0.0000018360269,0.00033557933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9844381,0.005115913,0.002623178,0.00080140133,0.005777132,0.0012442752],"domain_scores_gemma":[0.8360457,0.026604842,0.11711479,0.0044600083,0.012102958,0.0036718058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010872586,0.00015694644,0.00020556085,0.0020131979,0.0006829599,0.0025651117,0.0007314152,0.000884394,0.0013121514],"category_scores_gemma":[0.05900089,0.00021495804,0.0002775328,0.0019757468,0.0014268068,0.0017582555,0.0015790361,0.0016392323,0.00022961879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004452845,0.000051756466,0.9861637,0.0000506273,0.000023508901,0.00015263048,0.0018547992,0.00012533042,0.00017099445,0.0005318999,0.00069710036,0.0101332655],"study_design_scores_gemma":[0.000001979284,0.00007126387,0.9929496,0.00010434799,0.00001415527,0.00025943658,0.0037587052,0.00052778487,0.00046179123,0.0001941401,0.0016402708,0.000016548824],"about_ca_topic_score_codex":0.0109475255,"about_ca_topic_score_gemma":0.011667243,"teacher_disagreement_score":0.0109475255,"about_ca_system_score_codex":0.0022397928,"about_ca_system_score_gemma":0.0028021804,"threshold_uncertainty_score":0.057500422},"labels":[],"label_agreement":null},{"id":"W3039309718","doi":"10.5430/ijfr.v11n4p155","title":"The Mediating Role of the Capital Structure, Growth Rate, and Dividend Policy in the Relationship Between Return on Equity and Market to Book Value","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend policy; Equity value; Dividend; Market value; Economics; Debt-to-equity ratio; Market value added; Return on equity; Monetary economics; Capital structure; Financial economics; Econometrics; Debt; Finance; External debt","score_opus":0.05167819371602127,"score_gpt":0.34872455060222285,"score_spread":0.29704635688620157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039309718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905021,0.0011373236,0.00047363612,0.00068889005,0.000040260602,0.000023577693,0.00033534653,0.00001444523,0.006784447],"genre_scores_gemma":[0.9970091,0.00051802385,0.0002662702,0.000046389057,0.000033743672,0.000010573023,0.00016866816,0.0000037717075,0.0019435235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992625,0.00022496207,0.000042245545,0.0001800706,0.00011434887,0.00017585918],"domain_scores_gemma":[0.9955254,0.0021867892,0.001140481,0.00021145048,0.00039042142,0.0005454345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010564362,0.0006858063,0.00043000764,0.0010438567,0.0004438924,0.001777678,0.0004491906,0.000571864,0.007013506],"category_scores_gemma":[0.00398638,0.00022498796,0.0007084514,0.00065866887,0.00076994346,0.0010683149,0.0014007231,0.00086378114,0.00044396037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030022374,0.0004296129,0.97028154,0.00017415482,0.0005581119,0.0009318606,0.0012878454,0.0009747402,0.0010299092,0.0053690528,0.0005072355,0.018155752],"study_design_scores_gemma":[0.000023637258,0.0003133132,0.9914961,0.00009364707,0.00058487745,0.0001887263,0.0016097381,0.0010088525,0.00086008204,0.0016434626,0.0021601084,0.000017561399],"about_ca_topic_score_codex":0.010818194,"about_ca_topic_score_gemma":0.012246534,"teacher_disagreement_score":0.010818194,"about_ca_system_score_codex":0.0008783135,"about_ca_system_score_gemma":0.0022229266,"threshold_uncertainty_score":0.023462474},"labels":[],"label_agreement":null},{"id":"W3039361945","doi":"10.5430/ijfr.v11n4p144","title":"Business Strategy and R&D Expenditures","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Robustness (evolution); China; Control (management); Business; Monetary economics; Economics; Industrial organization; Econometrics; Management","score_opus":0.0660562089805384,"score_gpt":0.3390991855605845,"score_spread":0.27304297658004606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039361945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806773,0.00044888418,0.0004673483,0.00029503746,0.0000075651055,0.000027183534,0.0015573248,0.000020409021,0.016498793],"genre_scores_gemma":[0.99353975,0.00024387205,0.00013735674,0.000022647751,0.000010477584,0.000010719835,0.0013031334,0.0000021121373,0.0047300183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994265,0.00007684331,0.00006852187,0.00008085176,0.00022584514,0.00012146342],"domain_scores_gemma":[0.99543685,0.00081194943,0.002718431,0.00017682514,0.00039432416,0.00046164935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046819658,0.00019199634,0.00014641845,0.0013676396,0.00017764787,0.00093347125,0.00020515884,0.00024262255,0.005749873],"category_scores_gemma":[0.0024816687,0.00007969809,0.00022056283,0.0017409845,0.00024255384,0.00044877396,0.00037985956,0.0003502771,0.0008965518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045672747,0.00010131058,0.9796658,0.000049768158,0.000087237284,0.00016567805,0.00007231486,0.0013019426,0.0010741934,0.0023168437,0.0008099796,0.01430926],"study_design_scores_gemma":[0.000005215148,0.00005190753,0.9950867,0.0000109127905,0.000026188936,0.00008957551,0.00013473218,0.00075851026,0.0006641396,0.00036591536,0.0028009599,0.0000052099585],"about_ca_topic_score_codex":0.0063777687,"about_ca_topic_score_gemma":0.009568067,"teacher_disagreement_score":0.0063777687,"about_ca_system_score_codex":0.00080591574,"about_ca_system_score_gemma":0.0007215828,"threshold_uncertainty_score":0.019235253},"labels":[],"label_agreement":null},{"id":"W3039463398","doi":"10.5430/ijfr.v11n3p31","title":"Environmental Management Accounting Adoption Barriers Among Malaysian Hotel Companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Business; Hotel industry; Government (linguistics); Kuala lumpur; Marketing; Accounting; USable; Finance; Tourism; Geography","score_opus":0.024217239739360418,"score_gpt":0.2780623192754141,"score_spread":0.2538450795360537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039463398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99943024,0.000056662917,0.000016879187,0.00010110808,0.0000010498308,0.000004463612,0.000014224889,6.6121254e-7,0.0003747525],"genre_scores_gemma":[0.99960333,0.00011398278,0.000052030326,0.000026307152,0.000001000927,0.000003917331,0.00001736033,4.4604255e-7,0.00018166604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884737,0.00028699596,0.00015386858,0.00010238124,0.0003701698,0.00023925751],"domain_scores_gemma":[0.9941199,0.0019334776,0.0023793147,0.00017144525,0.0007817493,0.000614119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015276864,0.00015812712,0.00015389778,0.00075180945,0.00061908766,0.001453541,0.00028643568,0.0002812213,0.001393799],"category_scores_gemma":[0.0047902386,0.00015297956,0.0001909728,0.0007733385,0.00032563196,0.00070083066,0.00067434023,0.00045314382,0.0001167116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004245515,0.00019096484,0.9681119,0.00008900708,0.000028926479,0.00037422669,0.011969449,0.00016346244,0.001000779,0.0003015718,0.00028432303,0.017442964],"study_design_scores_gemma":[0.0000021681883,0.00010978072,0.9683156,0.00007155527,0.000012691702,0.00015127275,0.029223409,0.00050448126,0.0002997552,0.00004425186,0.0012516815,0.000013379131],"about_ca_topic_score_codex":0.015354566,"about_ca_topic_score_gemma":0.02620881,"teacher_disagreement_score":0.015354566,"about_ca_system_score_codex":0.000894905,"about_ca_system_score_gemma":0.0013604065,"threshold_uncertainty_score":0.030530393},"labels":[],"label_agreement":null},{"id":"W3039546280","doi":"10.5430/ijfr.v11n4p130","title":"Economic Forces and the Stock Market Performance in Developing Countries: Evidence From Sudan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Market capitalization; Econometrics; Stock market; Error correction model; Short run; Money supply; Exchange rate; Johansen test; Granger causality; Stock market index; Financial economics; Stock exchange; Consumer price index (South Africa); Capital market; Monetary economics; Interest rate; Monetary policy; Finance","score_opus":0.10958771573582016,"score_gpt":0.33048919458072973,"score_spread":0.22090147884490957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039546280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632037,0.0016811943,0.000037678103,0.00022018277,0.000007507602,0.0000053767717,0.00024571927,0.0000010997264,0.001480931],"genre_scores_gemma":[0.9968329,0.0025517652,0.00007266887,0.000039759147,0.000017235103,0.0000034173231,0.00030037193,5.4101054e-7,0.00018129841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998217,0.000062475345,0.000019412131,0.000016264023,0.00003212942,0.000047967293],"domain_scores_gemma":[0.99914694,0.00022764505,0.0004092479,0.000029323022,0.000108960405,0.000077792996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006422171,0.00024743212,0.00023572551,0.0016096537,0.0007518038,0.0008637202,0.0001955199,0.00017670353,0.00090687454],"category_scores_gemma":[0.001057952,0.00013911286,0.00022376303,0.002703654,0.0004520794,0.0003317258,0.0004945078,0.00027260542,0.00013000317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007985606,0.00011533363,0.98254067,0.00010450574,0.00011178688,0.00066620344,0.0008888788,0.00028361398,0.00038565946,0.0014625925,0.0005685654,0.012792331],"study_design_scores_gemma":[0.0000071170793,0.000031355223,0.9948833,0.00006584034,0.00006146125,0.000120656594,0.0017955821,0.0003600492,0.000141768,0.00020148467,0.002326482,0.0000048522506],"about_ca_topic_score_codex":0.031083385,"about_ca_topic_score_gemma":0.049668964,"teacher_disagreement_score":0.031083385,"about_ca_system_score_codex":0.00065353146,"about_ca_system_score_gemma":0.00082476344,"threshold_uncertainty_score":0.06180489},"labels":[],"label_agreement":null},{"id":"W3039563708","doi":"10.5430/ijfr.v11n3p139","title":"General Election and Stock Market Performance: A Malaysian Case","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"General election; Stock market; Politics; Economics; Financial market; Financial system; Monetary economics; Business; Political science; Finance; Geography; Law; Context (archaeology)","score_opus":0.07779636173807221,"score_gpt":0.33117968355136623,"score_spread":0.25338332181329404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039563708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454284,0.00072159816,0.00007150181,0.0009714898,0.0000106932885,0.000014557358,0.0002934133,0.0000025124293,0.0033713505],"genre_scores_gemma":[0.9983047,0.0004198424,0.000030150626,0.000039283612,0.000026737742,0.000004615378,0.00016473235,8.321441e-7,0.001008928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999283,0.00024508187,0.000047401896,0.00006805671,0.0000876101,0.0002689091],"domain_scores_gemma":[0.9959645,0.001572855,0.001402473,0.00013531093,0.00022227196,0.00070264185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013010175,0.000326797,0.0003876287,0.0012710036,0.00089870236,0.001776531,0.00051315076,0.001086558,0.0056025777],"category_scores_gemma":[0.0031359312,0.00021058708,0.00074028445,0.0015617611,0.0009327031,0.0009763528,0.0010857474,0.0016529245,0.000670919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035919368,0.00050121517,0.9839243,0.000046654208,0.00012970557,0.0033250048,0.0006280516,0.0014287389,0.000100437384,0.0031159676,0.0010724167,0.0053682923],"study_design_scores_gemma":[0.00007053643,0.00060254213,0.97639954,0.000082810635,0.00021815365,0.0017269255,0.004231662,0.011658565,0.0002496916,0.0016723311,0.003040821,0.00004634105],"about_ca_topic_score_codex":0.04775342,"about_ca_topic_score_gemma":0.041402664,"teacher_disagreement_score":0.04775342,"about_ca_system_score_codex":0.001369229,"about_ca_system_score_gemma":0.0008406811,"threshold_uncertainty_score":0.094950914},"labels":[],"label_agreement":null},{"id":"W3039610341","doi":"10.5430/ijfr.v11n3p100","title":"Malaysian Public Sector Ethical Stimulants","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Public sector; Viewpoints; Misconduct; Public relations; Language change; Ethical issues; Ethical leadership; Agency (philosophy); Business; Spirituality; Psychology; Political science; Engineering ethics; Sociology; Medicine; Law; Alternative medicine","score_opus":0.13248839779834315,"score_gpt":0.36816163176895067,"score_spread":0.23567323397060752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039610341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95754844,0.0019171906,0.00070500857,0.0047668293,0.000069719936,0.000094712195,0.000119939556,0.000033102333,0.034744978],"genre_scores_gemma":[0.99218243,0.0011038923,0.00044723312,0.0007150866,0.000019901276,0.000024991257,0.000037590024,0.0000045871516,0.0054643275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976534,0.0008361027,0.00013959865,0.00010058999,0.0007969729,0.00047331752],"domain_scores_gemma":[0.99244493,0.0013053187,0.0036687765,0.00029048315,0.0012300741,0.0010604679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023985272,0.00026087425,0.0001460325,0.0006554511,0.0023809592,0.0021462587,0.00027108844,0.0005206135,0.004124709],"category_scores_gemma":[0.004258055,0.0002015423,0.00013593688,0.0006333774,0.0015864968,0.0007242734,0.0017849972,0.0009478994,0.0005256154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029634862,0.0005531051,0.5488072,0.0015840124,0.0000813146,0.0041638254,0.11052646,0.00041421,0.012642658,0.022073882,0.02995184,0.26890513],"study_design_scores_gemma":[0.000017678001,0.0004591435,0.52575326,0.0010741579,0.000048589263,0.0045500663,0.20909797,0.0005884061,0.004062694,0.0032454843,0.2510198,0.00008267125],"about_ca_topic_score_codex":0.0033361176,"about_ca_topic_score_gemma":0.0075832605,"teacher_disagreement_score":0.004124709,"about_ca_system_score_codex":0.0025402461,"about_ca_system_score_gemma":0.0038517776,"threshold_uncertainty_score":0.018430829},"labels":[],"label_agreement":null},{"id":"W3039613739","doi":"10.5430/ijfr.v11n4p10","title":"Determinants of Firm Capital Structure: Empirical Evidence From Vietnam","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Return on assets; Business; Vietnamese; Capital call; Return on equity; Return on capital; Sample (material); Return on capital employed; Equity (law); Cost of capital; Economic capital; Monetary economics; Financial economics; Economics; Finance; Financial capital; Stock exchange; Microeconomics; Human capital; Capital formation; Individual capital; Market economy; Debt","score_opus":0.14387820514599714,"score_gpt":0.3803740569213698,"score_spread":0.23649585177537263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039613739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782085,0.00028899097,0.00005531529,0.00016072701,0.000001648019,0.000003624703,0.00016350848,6.609251e-7,0.0015045966],"genre_scores_gemma":[0.9994991,0.00021060443,0.00002398063,0.000013861556,0.0000016719899,9.3451223e-7,0.00010036194,4.1450937e-7,0.0001490117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.000042460448,0.000008979259,0.000023618963,0.00003181906,0.00004670694],"domain_scores_gemma":[0.99820817,0.000684021,0.0006435447,0.00004283072,0.00017083001,0.00025060648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035549284,0.00008869239,0.00009410694,0.00047471962,0.00020309887,0.0005656718,0.0001477239,0.00011020279,0.0019082295],"category_scores_gemma":[0.0015652693,0.000086915876,0.000093471055,0.00082327233,0.00032830247,0.00029498694,0.00024878833,0.00020996676,0.000091015216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027728196,0.000051607032,0.9880183,0.000057814388,0.000035836914,0.00047994903,0.0017378036,0.00040928434,0.00016983214,0.0010242068,0.00038146818,0.007606066],"study_design_scores_gemma":[0.0000031760676,0.000026802581,0.9950111,0.000039341376,0.000013530707,0.00010787945,0.002589124,0.000598205,0.000094867486,0.00018210692,0.0013312458,0.0000026877158],"about_ca_topic_score_codex":0.043498173,"about_ca_topic_score_gemma":0.047422003,"teacher_disagreement_score":0.043498173,"about_ca_system_score_codex":0.00061019236,"about_ca_system_score_gemma":0.0007484954,"threshold_uncertainty_score":0.086489916},"labels":[],"label_agreement":null},{"id":"W3039643723","doi":"10.5430/ijfr.v11n3p168","title":"Takaful Protection for Mental Health Illness From the Perspective of Maqasid Shariah","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Islam Malaysia","keywords":"Harm; Mental illness; Mental health; Psychiatry; Perspective (graphical); Disease; Medicine; Psychology; Business; Social psychology","score_opus":0.08775082743444597,"score_gpt":0.3684198658142019,"score_spread":0.28066903837975593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039643723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84683067,0.00985328,0.00037954733,0.085812524,0.00039254667,0.000034025987,0.00007925703,0.000008549146,0.056609537],"genre_scores_gemma":[0.9856273,0.0042748735,0.00021323051,0.0036537899,0.000118890675,0.0000106962225,0.000016753957,0.0000017872846,0.0060826996],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996809,0.00014141628,0.000008730199,0.0000124301905,0.00004355552,0.000113092676],"domain_scores_gemma":[0.9995734,0.00009340071,0.00011285589,0.000015230737,0.000047816826,0.00015732333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000725681,0.00022548791,0.00013198634,0.0003361837,0.0033516274,0.0017490317,0.00023215853,0.0007103471,0.0054365722],"category_scores_gemma":[0.0006790406,0.0000945833,0.00020861339,0.00031735748,0.0013172891,0.0013285973,0.0009648808,0.0015786821,0.00043172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049902906,0.0013930952,0.22900356,0.0010907127,0.000097502365,0.009593113,0.27899212,0.0004986147,0.0066542444,0.13624611,0.06137441,0.27455747],"study_design_scores_gemma":[0.00007029852,0.00084966805,0.23230588,0.0018744421,0.000112642876,0.010623964,0.49821463,0.0008344347,0.0015355289,0.019128697,0.23437983,0.00007006948],"about_ca_topic_score_codex":0.0036037539,"about_ca_topic_score_gemma":0.0074893767,"teacher_disagreement_score":0.0054365722,"about_ca_system_score_codex":0.0010530996,"about_ca_system_score_gemma":0.0027789301,"threshold_uncertainty_score":0.018187165},"labels":[],"label_agreement":null},{"id":"W3039717659","doi":"10.5430/ijfr.v11n4p111","title":"Role of Islamic Micro Finance in Alleviating Poverty in Bangladesh: A Study on RDS of IBBL","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Respondent; Poverty; Descriptive statistics; Islam; Socioeconomics; Sample (material); Ordinary least squares; Regression analysis; Economics; Economic growth; Statistics; Geography; Econometrics; Mathematics; Political science","score_opus":0.07401194368951171,"score_gpt":0.3436332141939335,"score_spread":0.2696212705044218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039717659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850345,0.00010296619,0.000017664392,0.00026127062,0.0000016139271,0.000011236033,0.000019168063,4.3346967e-7,0.0010822202],"genre_scores_gemma":[0.9984327,0.0004256222,0.000052706255,0.00012707118,0.0000038775875,0.000014213726,0.000015107494,5.2042145e-7,0.0009281141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967444,0.00014769255,0.000019304125,0.000022629758,0.000042198197,0.00009380579],"domain_scores_gemma":[0.9994247,0.00014825081,0.00017745802,0.000016258944,0.000059144015,0.00017428595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070295646,0.00015376943,0.00018760125,0.0006258532,0.0015094408,0.0007056789,0.000202647,0.00043872657,0.0027162936],"category_scores_gemma":[0.0010860137,0.0001877865,0.00013229555,0.0008221435,0.000665841,0.0006786175,0.00065337797,0.00058685406,0.00025677597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020874047,0.0018477681,0.7661607,0.0003858325,0.00003247332,0.0047360323,0.16909681,0.00017639236,0.0044854353,0.0025864544,0.0017150729,0.048568204],"study_design_scores_gemma":[0.000019272993,0.0010187672,0.7333229,0.00022599008,0.0000193786,0.0016662922,0.25288022,0.00018622137,0.00034884058,0.00032998313,0.009960111,0.000021932356],"about_ca_topic_score_codex":0.005323765,"about_ca_topic_score_gemma":0.014709687,"teacher_disagreement_score":0.005323765,"about_ca_system_score_codex":0.00069728144,"about_ca_system_score_gemma":0.00089505763,"threshold_uncertainty_score":0.0105855465},"labels":[],"label_agreement":null},{"id":"W3039736707","doi":"10.5430/ijfr.v11n4p74","title":"The Impact of Intellectual Capital on Firm Value: Empirical Evidence From Vietnam","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Đại học Kinh tế Quốc dân","keywords":"Intellectual capital; Physical capital; Structural capital; Market value added; Economics; Enterprise value; Financial capital; Risk-adjusted return on capital; Economic Value Added; Leverage (statistics); Human capital; Business; Econometrics; Finance; Individual capital; Microeconomics; Capital formation; Statistics; Economic growth; Mathematics","score_opus":0.15493671924625854,"score_gpt":0.4037604019741537,"score_spread":0.24882368272789515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039736707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095434,0.0022370568,0.00011100531,0.00044863013,0.000009172247,0.000008116378,0.00033131184,0.0000021847684,0.005898119],"genre_scores_gemma":[0.99863416,0.0007990801,0.000029441515,0.000022915261,0.000008349626,0.0000014620791,0.00017956136,8.155767e-7,0.00032414205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996617,0.00007730032,0.00002187633,0.00004947588,0.00010829832,0.00008124206],"domain_scores_gemma":[0.99459356,0.0019505972,0.0022591182,0.00011626322,0.0006209401,0.0004595678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000617612,0.00013039165,0.00013202133,0.0010674893,0.00027210402,0.0010942557,0.00031319755,0.00019359139,0.0017425888],"category_scores_gemma":[0.0031789762,0.000089253874,0.00015693477,0.0017105232,0.0005331905,0.0008492141,0.0004717424,0.0004056722,0.00010383976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004826254,0.00011175668,0.9713499,0.00023259284,0.00008935087,0.0011490409,0.0017408449,0.0007680466,0.00019808655,0.0025670964,0.0010647648,0.020680293],"study_design_scores_gemma":[0.0000048553416,0.000067950845,0.9899076,0.00014201204,0.000045019373,0.00015170455,0.0039443616,0.0011656688,0.0002874613,0.00047699478,0.0037992275,0.000007108089],"about_ca_topic_score_codex":0.030844884,"about_ca_topic_score_gemma":0.03796614,"teacher_disagreement_score":0.030844884,"about_ca_system_score_codex":0.0013245891,"about_ca_system_score_gemma":0.0011084408,"threshold_uncertainty_score":0.061330736},"labels":[],"label_agreement":null},{"id":"W3039763125","doi":"10.5430/ijfr.v11n3p62","title":"Exploring a Model of Whistle Blowing System for Malaysian Municipal Council","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Witness; Transparency (behavior); Focus group; Whistle blowing; Jurisdiction; Public relations; Incentive; Government (linguistics); Public administration; Business; Political science; Law; Marketing","score_opus":0.9123842087807614,"score_gpt":0.5458865674936135,"score_spread":0.3664976412871479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039763125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8553051,0.00085945334,0.02353554,0.018898506,0.00011434324,0.00045663244,0.0002203828,0.00014487392,0.10046524],"genre_scores_gemma":[0.9921256,0.00024335175,0.0031692637,0.00019756037,0.0000075255502,0.000058302405,0.000047854774,0.000014463374,0.004136218],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.995765,0.0024934465,0.00014294515,0.00043894743,0.00042348565,0.00073614117],"domain_scores_gemma":[0.99680424,0.0009415216,0.0007510267,0.0002279567,0.00054343836,0.0007318675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027966537,0.00047253992,0.0002131904,0.0015802867,0.009416449,0.008083936,0.0018711871,0.002672387,0.0048197466],"category_scores_gemma":[0.0044676205,0.00045716076,0.00045557073,0.0012394381,0.010811704,0.006464154,0.0037670669,0.002005344,0.0005461507],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005251218,0.00018641046,0.031831473,0.00034985473,0.000031577292,0.0057880855,0.750681,0.0041222433,0.0014615918,0.18889286,0.0050936174,0.011508843],"study_design_scores_gemma":[0.000020936834,0.00010252213,0.013033656,0.0005484439,0.000023681163,0.0011835766,0.8729692,0.009461153,0.0003992012,0.030055534,0.072112754,0.00008936845],"about_ca_topic_score_codex":0.048759915,"about_ca_topic_score_gemma":0.055290397,"teacher_disagreement_score":0.048759915,"about_ca_system_score_codex":0.016600976,"about_ca_system_score_gemma":0.014584572,"threshold_uncertainty_score":0.120449066},"labels":[],"label_agreement":null},{"id":"W3039785304","doi":"10.5430/ijfr.v11n4p96","title":"Evaluating the Effectiveness of the Bird-in-Hand-Dividends Policy in the Stability of Jordanian Listed Banks","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zarqa University","keywords":"Dividend; Solvency; Dividend policy; Earnings; Economics; Index (typography); Econometrics; Capitalization; Stability (learning theory); Market capitalization; Monetary economics; Financial economics; Finance; Stock market; Market liquidity","score_opus":0.130034556130211,"score_gpt":0.41919786880336524,"score_spread":0.2891633126731542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039785304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839044,0.00013195603,0.00020038128,0.00020654185,0.000003368799,0.0000041519334,0.000048679747,0.0000029508628,0.0010115472],"genre_scores_gemma":[0.9996531,0.000048938055,0.000051721672,0.000011773595,0.0000069383505,9.888633e-7,0.00004127794,4.7445596e-7,0.00018481116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992244,0.0002894408,0.00007503553,0.00014668104,0.00014770083,0.00011665081],"domain_scores_gemma":[0.9903977,0.0044100317,0.0035798158,0.00026596477,0.00087632844,0.00047016272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002788568,0.0001490886,0.00020947286,0.0005488244,0.00028960753,0.0013229362,0.0003033694,0.0005140839,0.0017122747],"category_scores_gemma":[0.008996662,0.000092677066,0.00025596004,0.0005176022,0.0005255753,0.00082840945,0.00043156897,0.00047649455,0.0001813586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037987749,0.00012721444,0.97897136,0.000040836374,0.00011766816,0.00020190972,0.00037831222,0.0035589954,0.00073330186,0.0020369655,0.00021712798,0.013236312],"study_design_scores_gemma":[0.000019190114,0.00039576198,0.98167557,0.000020745938,0.000091376714,0.00006169935,0.0015383998,0.012045095,0.0018277776,0.0013033736,0.0010072046,0.00001368709],"about_ca_topic_score_codex":0.006167913,"about_ca_topic_score_gemma":0.005985613,"teacher_disagreement_score":0.006167913,"about_ca_system_score_codex":0.0009346718,"about_ca_system_score_gemma":0.001061495,"threshold_uncertainty_score":0.01474756},"labels":[],"label_agreement":null},{"id":"W3039876228","doi":"10.5430/ijfr.v11n3p162","title":"A Social Entrepreneurship Case Study of the “Pertubuhan Kebajikan Anak Yatim Islam Segamat” Orphanage in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Islam; Sociology; State (computer science); Social entrepreneurship; Economic growth; Demographic economics; Political science; Economics; Geography; Law","score_opus":0.16182887871383528,"score_gpt":0.4669824300185283,"score_spread":0.305153551304693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039876228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929638,0.00027658237,0.00046476308,0.0010112912,0.000026957834,0.00008514061,0.000038574606,0.000003400266,0.0051294207],"genre_scores_gemma":[0.9926246,0.0007939859,0.00077765115,0.0002603767,0.000019013238,0.000074743155,0.00002901994,0.000005537919,0.005414963],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9984737,0.0009054773,0.000039082217,0.00010825249,0.00011030424,0.00036322742],"domain_scores_gemma":[0.998833,0.00033623003,0.00016604442,0.000043974782,0.00006884959,0.0005518523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012386629,0.00046316415,0.00043841152,0.0010511702,0.011102641,0.00171463,0.0014103875,0.0019832624,0.003831586],"category_scores_gemma":[0.0014429862,0.0003511019,0.00036085534,0.0010255425,0.0039236695,0.0017337293,0.0037112513,0.0018311109,0.00035627064],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020399762,0.0014609378,0.05891295,0.0004667615,0.00004147673,0.15127818,0.74035966,0.0007244499,0.0017835365,0.014986823,0.0048892214,0.024892036],"study_design_scores_gemma":[0.000011890897,0.0003616634,0.019882338,0.00025646732,0.000013013098,0.011260336,0.9464556,0.0004750613,0.00049452955,0.0009673392,0.01979513,0.000026592126],"about_ca_topic_score_codex":0.009507243,"about_ca_topic_score_gemma":0.037034635,"teacher_disagreement_score":0.011102641,"about_ca_system_score_codex":0.002625216,"about_ca_system_score_gemma":0.0024738724,"threshold_uncertainty_score":0.01904732},"labels":[],"label_agreement":null},{"id":"W3039885347","doi":"10.5430/ijfr.v11n4p64","title":"The Impact of Foreign Direct Investment on Financial Market Development: The Case of Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Granger causality; Foreign direct investment; Causality (physics); Economics; Stock market; Econometrics; Autoregressive model; Johansen test; Time series; Augmented Dickey–Fuller test; Monetary economics; Cointegration; Macroeconomics; Error correction model; Mathematics; Statistics; Geography","score_opus":0.05280817761740392,"score_gpt":0.3405934268405741,"score_spread":0.28778524922317017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039885347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98632497,0.0015710724,0.000121955374,0.001390185,0.000008498552,0.000008356276,0.00008726253,0.00000442718,0.010483365],"genre_scores_gemma":[0.99618906,0.001659892,0.00010465199,0.0000686121,0.0000146604725,0.0000041304897,0.00007733196,0.000002076697,0.0018797448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997074,0.00011501809,0.000011318702,0.00002054225,0.00003878336,0.00010701231],"domain_scores_gemma":[0.9985983,0.00041748246,0.00044146774,0.00002746265,0.00028733758,0.0002280366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007428178,0.00018802748,0.00019968017,0.0014309998,0.00066445046,0.0021591196,0.00033651106,0.0005181859,0.0031743706],"category_scores_gemma":[0.0017081398,0.00009727872,0.00030254218,0.0017478806,0.0007409514,0.0013036683,0.0011286433,0.00059853814,0.00028385656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039044846,0.00050984113,0.8437203,0.00035718325,0.00016791577,0.026905218,0.0050886185,0.01130693,0.000997963,0.053596232,0.005530029,0.051429264],"study_design_scores_gemma":[0.00013722405,0.00040741477,0.8343844,0.00052618585,0.00032763527,0.004321768,0.066228345,0.030941898,0.0022105598,0.018696835,0.041713264,0.00010434329],"about_ca_topic_score_codex":0.02841992,"about_ca_topic_score_gemma":0.036231965,"teacher_disagreement_score":0.02841992,"about_ca_system_score_codex":0.0018841882,"about_ca_system_score_gemma":0.002185515,"threshold_uncertainty_score":0.05650896},"labels":[],"label_agreement":null},{"id":"W3039965724","doi":"10.5430/ijfr.v11n3p146","title":"Political Connection and Firm’s Performance Among Malaysian Firms","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Politics; Return on assets; Equity (law); Asset (computer security); Return on equity; Enterprise value; Business; Connection (principal bundle); Independence (probability theory); Government (linguistics); Economics; Accounting; Monetary economics; Finance; Political science; Stock exchange; Law","score_opus":0.0857908995300388,"score_gpt":0.33756796477040235,"score_spread":0.2517770652403636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039965724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977385,0.000073709765,0.000018214283,0.000095163276,0.000003116459,0.0000028557001,0.000068484725,0.0000010861511,0.0019989526],"genre_scores_gemma":[0.9995153,0.00003460163,0.0000073552765,0.000007246141,0.0000064422584,9.3213305e-7,0.00005655393,3.272644e-7,0.00037123085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943,0.00011914952,0.000053731736,0.00006973246,0.00014362337,0.00018376263],"domain_scores_gemma":[0.99521166,0.00071888836,0.0028717166,0.00011045463,0.0003181665,0.00076910475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005338129,0.00015133631,0.00018212594,0.001158892,0.00050310895,0.0017131477,0.00016384281,0.00038379178,0.003911909],"category_scores_gemma":[0.0025196979,0.000075290765,0.00015705812,0.0012967403,0.00039263797,0.0006312874,0.0007388607,0.00047339336,0.00048179048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029594446,0.00007173029,0.9958633,0.000009184401,0.000025297999,0.0001408534,0.0003578931,0.00012386485,0.0001599165,0.00017460149,0.00020364994,0.0028400957],"study_design_scores_gemma":[0.0000012704281,0.000034346944,0.9982145,0.000006084874,0.0000076172782,0.00004426804,0.00094692846,0.000208429,0.00007497085,0.000050059036,0.00040871318,0.0000027118729],"about_ca_topic_score_codex":0.006326859,"about_ca_topic_score_gemma":0.01038656,"teacher_disagreement_score":0.006326859,"about_ca_system_score_codex":0.0005538603,"about_ca_system_score_gemma":0.000322352,"threshold_uncertainty_score":0.013086677},"labels":[],"label_agreement":null},{"id":"W3040084371","doi":"10.5430/ijfr.v11n4p36","title":"Financial Statement Fraud Risk Factors of Fraud Triangle: Evidence From Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial statement; Accounting; Business; Commit; Rationalization (economics); Stock exchange; Constructive fraud; Statement (logic); Financial statement analysis; Actuarial science; Finance; Financial ratio; Audit; Economics; Management; Law","score_opus":0.13209121628287446,"score_gpt":0.3445730797627499,"score_spread":0.21248186347987547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040084371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979576,0.00043722734,0.00010574431,0.00021358229,0.0000046697887,0.000010166107,0.000107603,0.0000016830472,0.0011618016],"genre_scores_gemma":[0.99949145,0.00028507714,0.000068102076,0.000016856944,0.0000054380303,0.0000027761369,0.00007191332,8.0397893e-7,0.00005756073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984748,0.00053313235,0.00020698326,0.0001564852,0.00047851834,0.00015014688],"domain_scores_gemma":[0.9867639,0.0041327323,0.0069691124,0.00055285904,0.00085151725,0.0007299093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017679485,0.00024660217,0.00030264948,0.0016765272,0.00046499693,0.0012126155,0.0003893085,0.00032900617,0.0020619074],"category_scores_gemma":[0.009171099,0.00019366469,0.00040635417,0.0018921404,0.0007574828,0.0008300692,0.0008970184,0.00065522845,0.0002142521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000426256,0.00008081616,0.99337834,0.000031806157,0.000024474439,0.0001528537,0.00040602227,0.000029425426,0.00003392435,0.000116803894,0.00012876285,0.0055741747],"study_design_scores_gemma":[0.0000027314406,0.000031853433,0.9976311,0.00005016604,0.000026328464,0.00032229358,0.0010967349,0.0003705212,0.00005470754,0.00008535191,0.0003245455,0.000003672668],"about_ca_topic_score_codex":0.007067077,"about_ca_topic_score_gemma":0.0059162825,"teacher_disagreement_score":0.007067077,"about_ca_system_score_codex":0.0004695139,"about_ca_system_score_gemma":0.0008553451,"threshold_uncertainty_score":0.014051914},"labels":[],"label_agreement":null},{"id":"W3040127243","doi":"10.5430/ijfr.v11n3p73","title":"Credit Risk Assessment Models of Retail Microfinancing: The Case of a Malaysian National Savings Bank’s Branch","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microfinance; Logistic regression; Business; Credit rating; Payment; Credit score; Sample (material); Credit history; Actuarial science; Credit risk; Bond credit rating; Probability of default; Credit reference; Finance; Economics; Computer science","score_opus":0.07048167327518838,"score_gpt":0.34237934633411127,"score_spread":0.2718976730589229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040127243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96932036,0.00039380763,0.02089369,0.001882485,0.000019207599,0.00009641139,0.00020435145,0.00010362162,0.0070860703],"genre_scores_gemma":[0.99397063,0.00012095379,0.0034130008,0.000025597114,0.000007962755,0.00002435079,0.00007324676,0.000006256789,0.0023580762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99923825,0.00042783085,0.000039550094,0.00012174029,0.000060401897,0.000112236085],"domain_scores_gemma":[0.9943856,0.0038844813,0.0006104603,0.00014477415,0.0007228056,0.00025178387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035741718,0.0006526047,0.0005579843,0.0010547779,0.0007864712,0.0023853239,0.0015824473,0.0016253121,0.0029921462],"category_scores_gemma":[0.006007188,0.00042730934,0.0009738916,0.0006603499,0.00077443256,0.0016868036,0.0009953831,0.001770754,0.000360672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048787743,0.00040852337,0.1135798,0.000104764615,0.00011682913,0.0018527525,0.0019427886,0.83287495,0.0006142045,0.021712298,0.0018010652,0.02450413],"study_design_scores_gemma":[0.000013690845,0.000072486546,0.008567108,0.0000269021,0.000026976504,0.00013260102,0.000507166,0.98573166,0.00012757102,0.004438676,0.00033458424,0.000020529591],"about_ca_topic_score_codex":0.059926335,"about_ca_topic_score_gemma":0.042456787,"teacher_disagreement_score":0.059926335,"about_ca_system_score_codex":0.0029898451,"about_ca_system_score_gemma":0.0014879275,"threshold_uncertainty_score":0.11915505},"labels":[],"label_agreement":null},{"id":"W3040271192","doi":"10.5430/ijfr.v11n3p18","title":"The Relationships Between Managerial Overconfidence, Audit Committee, CEO Duality and Audit Quality and Accounting Misstatements","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Overconfidence effect; Accounting; Audit; Business; Audit committee; Corporate governance; Quality (philosophy); Actuarial science; Finance; Psychology","score_opus":0.11165446445084942,"score_gpt":0.37051335216870424,"score_spread":0.2588588877178548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040271192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992418,0.000121310644,0.00007161636,0.000099994606,0.000002072885,0.0000026459381,0.000019764024,0.0000010235439,0.00043975146],"genre_scores_gemma":[0.9997508,0.00004451611,0.000043657838,0.0000101886,0.000005417558,9.698374e-7,0.000029210278,3.6124786e-7,0.000115021976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786335,0.0005790562,0.00034088647,0.00015981431,0.0007675771,0.00028929638],"domain_scores_gemma":[0.9215702,0.01661836,0.053571478,0.001489313,0.0033128369,0.0034378935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026767675,0.00015088028,0.00017670673,0.001429367,0.00035868687,0.0010077602,0.00029235816,0.00034613628,0.0016451824],"category_scores_gemma":[0.02197021,0.00013519322,0.00023889789,0.001078302,0.0005324322,0.0007061788,0.0008341717,0.0008508928,0.00011496407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022157294,0.000023666575,0.9971826,0.0000064185256,0.00001608332,0.000057517103,0.00022514518,0.00009185012,0.00007823072,0.000064445776,0.000030637195,0.0022012256],"study_design_scores_gemma":[8.629372e-7,0.000028060795,0.99885356,0.0000072619873,0.00000589362,0.00012176377,0.000514301,0.00022509658,0.00006507621,0.00007044701,0.00010420174,0.000003485998],"about_ca_topic_score_codex":0.0040283184,"about_ca_topic_score_gemma":0.0062737484,"teacher_disagreement_score":0.0040283184,"about_ca_system_score_codex":0.00060415146,"about_ca_system_score_gemma":0.0006764131,"threshold_uncertainty_score":0.014156282},"labels":[],"label_agreement":null},{"id":"W3040384859","doi":"10.5430/ijfr.v11n3p131","title":"Unlock Day Expiration and Mandatory IPOs Lock up Among ACE Firms in Malaysia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Prospectus; Initial public offering; Expiration; Business; Stock (firearms); Monetary economics; Stock price; Finance; Economics; Medicine; Internal medicine","score_opus":0.044850954512693345,"score_gpt":0.3149347374365582,"score_spread":0.27008378292386487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040384859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992841,0.00008833885,0.000020269958,0.00008001052,0.0000015988335,0.0000034294592,0.00004229802,9.490805e-7,0.00047912088],"genre_scores_gemma":[0.9996251,0.00007183965,0.000012803229,0.0000100189,0.000004647001,0.000001038186,0.00003289633,4.4818813e-7,0.00024129462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994823,0.00009246378,0.00006387285,0.00007556771,0.00013115985,0.00015459435],"domain_scores_gemma":[0.9909951,0.001255763,0.0062235487,0.00020190631,0.0005067334,0.00081705407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007503093,0.00015741435,0.00016043808,0.0008614488,0.00035623004,0.0011483211,0.00030385712,0.00037277874,0.0024367778],"category_scores_gemma":[0.0038037645,0.00014333257,0.00020552476,0.0006495942,0.0004140354,0.0012290663,0.0007431868,0.0007034423,0.00026190374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050621813,0.000045341498,0.9944457,0.0000138820205,0.000009552436,0.0002791892,0.0011385711,0.000053265998,0.00020007057,0.000077256285,0.00012017172,0.003566368],"study_design_scores_gemma":[0.0000011348291,0.000069658294,0.99603707,0.000015619138,0.0000059324457,0.00022792576,0.002975326,0.00021203239,0.00010222403,0.000037988637,0.0003102931,0.0000049205346],"about_ca_topic_score_codex":0.008839765,"about_ca_topic_score_gemma":0.01086914,"teacher_disagreement_score":0.008839765,"about_ca_system_score_codex":0.00052741304,"about_ca_system_score_gemma":0.0005201232,"threshold_uncertainty_score":0.017576635},"labels":[],"label_agreement":null},{"id":"W3040397590","doi":"10.5430/ijfr.v11n3p1","title":"Experiences to Voluntarily Adopt Malaysian Business Reporting System MBRS: A Case Study of SMPs","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and XBRL","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Tenaga Nasional; Universiti Teknologi MARA; Tenaga Nasional Berhad","keywords":"XBRL; Business; Business reporting; Enforcement; Stakeholder; Incentive; Data collection; Commission; Promotion (chess); Accounting; Marketing; Knowledge management; Process management; Public relations; Finance; Computer science","score_opus":0.12839616999572273,"score_gpt":0.3825344849525167,"score_spread":0.25413831495679395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040397590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975122,0.00010563192,0.00042807127,0.0008108134,0.000010264392,0.000023858167,0.000009574676,0.0000054883203,0.0010941457],"genre_scores_gemma":[0.9966127,0.00028939266,0.00047282557,0.00039368946,0.000009915844,0.00003219067,0.00001357282,0.000010392649,0.0021653057],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9909067,0.0057662143,0.00030431387,0.000505032,0.0010185372,0.0014991194],"domain_scores_gemma":[0.98908406,0.0054412275,0.0021175062,0.0004910121,0.0011486728,0.001717483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060105165,0.0005242984,0.0004140117,0.00096131326,0.0063013933,0.0032447865,0.001504104,0.0026812216,0.0027258005],"category_scores_gemma":[0.016751748,0.00080407824,0.00040027648,0.0008845141,0.0037306284,0.0034293383,0.004224282,0.003028074,0.0005392997],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030452586,0.00018594098,0.016946292,0.00010965706,0.00000567396,0.009772151,0.9616026,0.000070674316,0.0014021889,0.0006555123,0.00056345004,0.008655434],"study_design_scores_gemma":[0.0000021574094,0.0002026782,0.0060222964,0.00008978382,0.0000041670905,0.003344508,0.9838038,0.00019268884,0.00040105605,0.00011572256,0.0057977643,0.000023332777],"about_ca_topic_score_codex":0.007238762,"about_ca_topic_score_gemma":0.014357772,"teacher_disagreement_score":0.007238762,"about_ca_system_score_codex":0.0024121397,"about_ca_system_score_gemma":0.00277858,"threshold_uncertainty_score":0.031787038},"labels":[],"label_agreement":null},{"id":"W3040557010","doi":"10.5430/ijfr.v11n3p106","title":"Credit Risk, Islamic Contracts and Ownership Status: Evidence From Malaysian Islamic Banks","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi MARA","keywords":"Islam; Credit risk; Business; Panel data; Sample (material); Equity (law); Capital adequacy ratio; Financial system; Finance; Economics; Econometrics; Profit (economics)","score_opus":0.0677921008255881,"score_gpt":0.32788704115807493,"score_spread":0.2600949403324868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040557010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99854636,0.0002764449,0.00004379023,0.00017701874,0.0000015042235,0.0000042489332,0.00017585939,7.6473975e-7,0.0007739895],"genre_scores_gemma":[0.9991629,0.00036706752,0.000038654885,0.000026106909,0.000005346273,0.000001994547,0.0001741147,3.6117456e-7,0.00022349565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995467,0.0001332906,0.00006659253,0.0000631081,0.00012195523,0.00006836268],"domain_scores_gemma":[0.9898526,0.0031584178,0.0054194843,0.00027077878,0.00067865767,0.0006200387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014002256,0.00015249109,0.00020831109,0.00088855816,0.00043286846,0.0010859624,0.00027024897,0.00041832647,0.0022592281],"category_scores_gemma":[0.005235749,0.00016204442,0.00024833757,0.0016232954,0.0005353367,0.0008871821,0.0007211063,0.0007090188,0.0003776739],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003404097,0.00003697365,0.99597615,0.000018027014,0.000019670988,0.00006680745,0.0005961898,0.00014326879,0.00003321717,0.00018145033,0.00016914339,0.0027250613],"study_design_scores_gemma":[0.0000035345654,0.00005033627,0.9963486,0.000047251702,0.00002112288,0.00010013188,0.002044193,0.0006040068,0.00005873351,0.00012660681,0.0005907909,0.00000466017],"about_ca_topic_score_codex":0.009684488,"about_ca_topic_score_gemma":0.015674511,"teacher_disagreement_score":0.009684488,"about_ca_system_score_codex":0.00045823952,"about_ca_system_score_gemma":0.00064512336,"threshold_uncertainty_score":0.019256294},"labels":[],"label_agreement":null},{"id":"W3040835492","doi":"10.5430/ijfr.v11n4p203","title":"Determinants of Capital Adequacy Ratio for Pension Funds: A Case Study in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expense ratio; Panel data; Pension; Return on assets; Business; Investment (military); Revenue; Finance; Monetary economics; Economics; Econometrics; Closed-end fund","score_opus":0.10830585096329094,"score_gpt":0.3948276071057098,"score_spread":0.28652175614241887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040835492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886096,0.00009025659,0.00007474817,0.00013800971,0.0000014738389,0.000007652292,0.00006658627,0.0000015030682,0.0007589126],"genre_scores_gemma":[0.99942017,0.00010580268,0.00009291405,0.000008022676,0.0000024117542,0.000004506704,0.000046321584,8.215322e-7,0.00031908992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994356,0.00018945524,0.00005631279,0.000060320446,0.00009784945,0.00016037462],"domain_scores_gemma":[0.9982857,0.00060924387,0.00065994594,0.00006596528,0.00015962085,0.00021942444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092659716,0.00020097083,0.00025171085,0.0010493646,0.000592237,0.0012124834,0.00038746433,0.00037951767,0.0016789592],"category_scores_gemma":[0.0022338012,0.00015265432,0.00033039076,0.00088033866,0.00038423933,0.00063338224,0.00063494855,0.00072050636,0.00015661427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063163374,0.00028518264,0.98062325,0.000033808075,0.000032785887,0.004540465,0.0027294855,0.00066632655,0.00026986754,0.00071770704,0.00043982395,0.009598209],"study_design_scores_gemma":[0.000006084975,0.00010766279,0.97728753,0.000054658703,0.000052644482,0.0021716782,0.014055636,0.003939315,0.00048679434,0.0002622772,0.0015593144,0.000016481756],"about_ca_topic_score_codex":0.020644533,"about_ca_topic_score_gemma":0.022615742,"teacher_disagreement_score":0.020644533,"about_ca_system_score_codex":0.0013746546,"about_ca_system_score_gemma":0.0011831654,"threshold_uncertainty_score":0.041048765},"labels":[],"label_agreement":null},{"id":"W3040883196","doi":"10.5430/ijfr.v11n4p231","title":"The Dynamics Between Dividends, Financing and Investments: Evidence From Jordanian Companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend; Valuation (finance); Enterprise value; Investment decisions; Investment (military); Business; Value (mathematics); Finance; Regression analysis; Market value added; Market value; Business valuation; Economics; Behavioral economics","score_opus":0.12089392913641613,"score_gpt":0.3399670863002336,"score_spread":0.21907315716381748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040883196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884653,0.00039220514,0.000023668794,0.000099592806,8.338807e-7,0.0000023962743,0.00007118609,7.5631135e-7,0.0005627098],"genre_scores_gemma":[0.99864227,0.0006174562,0.00007103239,0.000038268372,0.0000068521827,0.0000026856856,0.00021146858,8.771203e-7,0.0004090412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964297,0.00009439404,0.000041568903,0.000063966276,0.00009906553,0.000057996192],"domain_scores_gemma":[0.99356514,0.0018070072,0.0030617546,0.00016512146,0.0010712051,0.00032976313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011382266,0.00015323183,0.00016344631,0.0012779982,0.0004247111,0.001200157,0.00036074992,0.00033531178,0.0012821655],"category_scores_gemma":[0.003568918,0.00018763563,0.00016760654,0.0020408118,0.0004922046,0.000762981,0.0004737048,0.00037963112,0.00028889137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009123766,0.00013975112,0.98519635,0.000062653584,0.000048568607,0.0004305978,0.0028486564,0.0003037012,0.00027093632,0.00048957614,0.000426037,0.00969194],"study_design_scores_gemma":[0.000008461307,0.00009885343,0.99028486,0.000044407367,0.000035811354,0.00016959143,0.006024824,0.00067048107,0.00040842211,0.00016094538,0.0020846154,0.000008614222],"about_ca_topic_score_codex":0.018027985,"about_ca_topic_score_gemma":0.03408938,"teacher_disagreement_score":0.018027985,"about_ca_system_score_codex":0.0008343529,"about_ca_system_score_gemma":0.00095587893,"threshold_uncertainty_score":0.035846114},"labels":[],"label_agreement":null},{"id":"W3040906124","doi":"10.5430/ijfr.v11n4p306","title":"Earnings Surprises and Stock Price Reactions of Quoted Companies in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings surprise; Earnings per share; Earnings; Earnings response coefficient; Economics; Price–earnings ratio; Stock exchange; Econometrics; Panel data; Earnings yield; Stock (firearms); Stock market; Post-earnings-announcement drift; Financial economics; Monetary economics; Finance","score_opus":0.11500921884866563,"score_gpt":0.3350674977301761,"score_spread":0.22005827888151044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040906124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992861,0.0001356201,0.000020299865,0.000047921578,0.0000062821255,0.0000022909576,0.000037846054,4.7667646e-7,0.00046312765],"genre_scores_gemma":[0.9994729,0.0001629684,0.000024755842,0.000015596153,0.000012254551,0.0000018296067,0.000064250846,3.4436914e-7,0.00024511814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997415,0.00004368446,0.000039527622,0.000032906402,0.000088260516,0.000054052485],"domain_scores_gemma":[0.99663407,0.00069825293,0.0021045506,0.000079458645,0.00028479862,0.00019886206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095913,0.00014769883,0.00017734917,0.00044190098,0.00026730538,0.000761398,0.0001189884,0.00033288437,0.0009963372],"category_scores_gemma":[0.003795211,0.00012455226,0.00015850361,0.0003793652,0.0001493047,0.00041135724,0.00032436626,0.00050775975,0.00013313991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008631521,0.0000951594,0.994011,0.000018721741,0.00002055393,0.00043092357,0.0007670129,0.00010526798,0.00049814646,0.00010064187,0.00010812649,0.0037581485],"study_design_scores_gemma":[0.0000013225834,0.000080562284,0.998252,0.0000128223855,0.000009561403,0.0001603903,0.000848512,0.00023372151,0.00013441904,0.00005311655,0.00020983836,0.0000038284857],"about_ca_topic_score_codex":0.0036121772,"about_ca_topic_score_gemma":0.005575836,"teacher_disagreement_score":0.0036121772,"about_ca_system_score_codex":0.0003050405,"about_ca_system_score_gemma":0.00024173541,"threshold_uncertainty_score":0.0071823597},"labels":[],"label_agreement":null},{"id":"W3040972074","doi":"10.5430/ijfr.v11n4p275","title":"Fundamental Analysis of Insurance Industry Operations and GDP Increase in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Insurance industry; Financial services; Investment (military); Insurance premium; Product (mathematics); Foreign direct investment; Actuarial science; Gross domestic product; Finance; Economics; Economic growth","score_opus":0.07895188629986102,"score_gpt":0.3438630973833651,"score_spread":0.26491121108350413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040972074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950334,0.000291303,0.000111467125,0.00012371608,0.0000073608517,0.0000059123545,0.00040914997,0.0000026366545,0.0040150923],"genre_scores_gemma":[0.9991252,0.00021434505,0.00008165725,0.00000780722,0.0000051858715,0.0000034471698,0.00020651317,7.0855526e-7,0.00035516737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998306,0.00002853843,0.000018687299,0.000027133134,0.00004034421,0.000054753225],"domain_scores_gemma":[0.9989673,0.0002928292,0.000470454,0.000021112453,0.00013842988,0.000109941204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002964205,0.00013348363,0.00011980483,0.0013200582,0.00024226311,0.00092464767,0.00009454281,0.00016987532,0.0015286832],"category_scores_gemma":[0.001268864,0.00008420142,0.00017438414,0.0018206829,0.00030598452,0.0004572756,0.0004384475,0.0003589756,0.00014570661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004185246,0.000041007086,0.98919547,0.000038536407,0.000014232373,0.00029428062,0.00063365273,0.0007218028,0.00029336967,0.0015666716,0.00032514552,0.0068339864],"study_design_scores_gemma":[9.428561e-7,0.000036852492,0.9937098,0.000028549593,0.00000865062,0.0001431971,0.0028728107,0.0012215548,0.00015956185,0.00032964133,0.0014841241,0.000004326868],"about_ca_topic_score_codex":0.007826071,"about_ca_topic_score_gemma":0.009263285,"teacher_disagreement_score":0.007826071,"about_ca_system_score_codex":0.00075378583,"about_ca_system_score_gemma":0.00054087956,"threshold_uncertainty_score":0.015561044},"labels":[],"label_agreement":null},{"id":"W3040980403","doi":"10.5430/ijfr.v11n4p421","title":"Impacts of Earnings Quality and Debt Maturity on Investment Efficiency: Study Case in Vietnam","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Foundation for Science and Technology Development","keywords":"Maturity (psychological); Earnings; Debt; Business; Investment (military); Stock market; Monetary economics; Debt ratio; Earnings per share; Stock (firearms); Quality (philosophy); Economics; Financial system; Finance","score_opus":0.17758621032947822,"score_gpt":0.454437234824084,"score_spread":0.27685102449460575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040980403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984781,0.00019987723,0.00008172204,0.00015066924,0.0000021009093,0.0000070796846,0.000079940335,8.9440084e-7,0.0009995436],"genre_scores_gemma":[0.9991578,0.00020312567,0.00006931703,0.000016203896,0.000003579602,0.0000028861198,0.00009061914,8.478228e-7,0.0004555893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969685,0.0000951995,0.00002428086,0.000035953024,0.00004082447,0.00010679291],"domain_scores_gemma":[0.9986259,0.00048838556,0.0004121384,0.00004181704,0.00024229592,0.0001895702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067250885,0.00017050415,0.00017744135,0.0005881635,0.00041897656,0.00090071734,0.000237621,0.00021476792,0.0013710631],"category_scores_gemma":[0.0013941388,0.0001018018,0.00026770172,0.0009382725,0.0002916424,0.00078161893,0.000512995,0.0004857231,0.00008082523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000795746,0.00024776108,0.9723594,0.000112918446,0.00007639097,0.0044718715,0.0031820752,0.0019782628,0.0004206198,0.0020529998,0.0006664702,0.01435157],"study_design_scores_gemma":[0.000013933585,0.00021305845,0.9672704,0.00012434073,0.00009597428,0.0009685172,0.021044893,0.0055778427,0.00081454375,0.00053480867,0.0033216323,0.000020025156],"about_ca_topic_score_codex":0.06725928,"about_ca_topic_score_gemma":0.062694535,"teacher_disagreement_score":0.06725928,"about_ca_system_score_codex":0.0014088121,"about_ca_system_score_gemma":0.0011522796,"threshold_uncertainty_score":0.1337356},"labels":[],"label_agreement":null},{"id":"W3041006327","doi":"10.5430/ijfr.v11n4p289","title":"The Effect of the Relationship Between Cash Flows From Operating Activities and Earnings per Share in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Earnings; Cash flow; Stock exchange; Earnings per share; Cash; Operating cash flow; Finance; Legislation; Exploit; Service (business); Accounting; Marketing","score_opus":0.05248175885261146,"score_gpt":0.33087140059717834,"score_spread":0.2783896417445669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041006327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830747,0.000069939764,0.000029843983,0.00014989283,0.0000036727615,0.0000023029188,0.000059427057,0.0000033948384,0.0013741087],"genre_scores_gemma":[0.9981963,0.00008249814,0.000033955108,0.000022408867,0.000007668745,0.000003407031,0.00009823673,0.0000025027223,0.0015531351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989825,0.0004828209,0.00005344944,0.00010261954,0.00012180481,0.00025672445],"domain_scores_gemma":[0.98897386,0.0050738896,0.002562925,0.00022852382,0.0013882895,0.0017724779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014827902,0.00028978626,0.00024209569,0.00070756173,0.0003935703,0.0014460243,0.00046538364,0.0004218163,0.0052231923],"category_scores_gemma":[0.0066981562,0.00014579235,0.00039527248,0.0007269086,0.0005550174,0.0007110332,0.00072886713,0.00066319533,0.00076670037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000775452,0.00040341183,0.98461956,0.000028822085,0.00012808564,0.0006121788,0.0012669795,0.0020554136,0.00035224512,0.001044044,0.0007598419,0.007953921],"study_design_scores_gemma":[0.000027868282,0.00041535244,0.9890564,0.000037703587,0.00006704555,0.00015953131,0.004474966,0.002745054,0.0004376265,0.00052805454,0.002032592,0.000017742577],"about_ca_topic_score_codex":0.015068989,"about_ca_topic_score_gemma":0.010860234,"teacher_disagreement_score":0.015068989,"about_ca_system_score_codex":0.0009884236,"about_ca_system_score_gemma":0.0016437335,"threshold_uncertainty_score":0.02996254},"labels":[],"label_agreement":null},{"id":"W3041116156","doi":"10.5430/ijfr.v11n4p357","title":"Investor Protection, Stock Liquidity, and Capital Structure","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Business; Leverage (statistics); Monetary economics; Stock (firearms); Capital structure; Financial economics; Economics; Finance","score_opus":0.09046574940136184,"score_gpt":0.31311898655517434,"score_spread":0.2226532371538125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041116156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725527,0.00053564407,0.00018189002,0.00027560187,0.0000038005314,0.000004551617,0.00015683938,0.0000045966044,0.0015819015],"genre_scores_gemma":[0.9995388,0.000106585365,0.00003497842,0.000020181098,0.000009958255,0.0000011643394,0.0000985652,6.1608915e-7,0.00018907353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946564,0.00015036155,0.000041371793,0.00008254217,0.00010249015,0.00015764158],"domain_scores_gemma":[0.9721653,0.007570872,0.017661558,0.00054244325,0.00041435356,0.0016454911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010785871,0.00024048025,0.00026503464,0.000902939,0.0002474489,0.0012583799,0.00031283675,0.00072238635,0.002585536],"category_scores_gemma":[0.008942484,0.00012392698,0.00034577234,0.0008895747,0.00071392726,0.001051121,0.00066841947,0.00075519184,0.00028560124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065454224,0.00007510305,0.9954704,0.000013098661,0.000096104275,0.00013552642,0.00006932364,0.0007007822,0.00015662213,0.0005172182,0.00010370391,0.0025967057],"study_design_scores_gemma":[0.000008007891,0.000086514745,0.99719584,0.000015739754,0.000051613042,0.00010041823,0.00007941183,0.0012431177,0.00020094728,0.00074962224,0.0002634416,0.0000052914693],"about_ca_topic_score_codex":0.00456676,"about_ca_topic_score_gemma":0.006826971,"teacher_disagreement_score":0.00456676,"about_ca_system_score_codex":0.0006991456,"about_ca_system_score_gemma":0.00040973324,"threshold_uncertainty_score":0.00908035},"labels":[],"label_agreement":null},{"id":"W3041119833","doi":"10.5430/ijfr.v11n4p329","title":"The Role of Corporate Governance on the Relationship Between IFRS Adoption and Earnings Management: Evidence From Bangladesh","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Earnings management; Corporate governance; Business; Accrual; Stock exchange; Panel data; Principal–agent problem; Index (typography); Earnings; Agency (philosophy); Positive relationship; Economics; Econometrics; Finance; Psychology","score_opus":0.09025929742827123,"score_gpt":0.30667020823967606,"score_spread":0.21641091081140484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041119833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195534,0.0011979386,0.00010419104,0.0010611028,0.0000064499354,0.000013473777,0.00034945135,0.0000025713878,0.0053093815],"genre_scores_gemma":[0.9979358,0.0010602347,0.00006750245,0.00006579133,0.0000067454407,0.0000036834163,0.00016418159,0.0000010451863,0.00069500867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938786,0.00017467054,0.000090567686,0.00007885725,0.00015698916,0.00011100808],"domain_scores_gemma":[0.99352926,0.0013852679,0.0036804741,0.00023843163,0.00073573727,0.00043085072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009262595,0.00017095018,0.00015353136,0.0007141873,0.00041345894,0.0008754536,0.00025719887,0.00028649822,0.0033932193],"category_scores_gemma":[0.0036095658,0.00011143547,0.00017319352,0.0014956938,0.00051303534,0.0007102825,0.0007035999,0.00043471524,0.00032234305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003240002,0.000057990208,0.9764414,0.00015017665,0.00003499194,0.0004408334,0.0026611197,0.00012052645,0.0003240628,0.0006872491,0.0007406286,0.018308528],"study_design_scores_gemma":[0.0000030124475,0.00004370198,0.98874223,0.00015626135,0.000026908838,0.00014849401,0.006509975,0.00012533797,0.00021696232,0.00016795282,0.003850226,0.000008848385],"about_ca_topic_score_codex":0.021317998,"about_ca_topic_score_gemma":0.045786157,"teacher_disagreement_score":0.021317998,"about_ca_system_score_codex":0.0008429857,"about_ca_system_score_gemma":0.00095812755,"threshold_uncertainty_score":0.042387784},"labels":[],"label_agreement":null},{"id":"W3041122977","doi":"10.5430/ijfr.v11n4p384","title":"The Mediating Effect of Crisis Management on Leadership Styles and Hotel Performance in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformational leadership; Transactional leadership; Structural equation modeling; Leadership style; Psychology; Business; Exploratory research; Partial least squares regression; Marketing; Knowledge management; Management; Social psychology; Computer science; Sociology; Economics; Mathematics; Statistics; Social science","score_opus":0.0635085161263984,"score_gpt":0.3329587582511272,"score_spread":0.2694502421247288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041122977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961443,0.00012869811,0.00011563896,0.00026003562,0.000009229512,0.0000111620475,0.000034514975,0.000004102209,0.003292286],"genre_scores_gemma":[0.9991204,0.00016035311,0.00011515387,0.000039230617,0.0000083076275,0.000008152905,0.000029626692,0.0000013713986,0.000517237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991221,0.00037759473,0.000058671467,0.00005966644,0.00017338218,0.00020856698],"domain_scores_gemma":[0.9972019,0.0006544744,0.00058044936,0.00008077973,0.0006774055,0.000805018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014523669,0.00029017523,0.0002557615,0.00060329726,0.00064447743,0.0016045361,0.00032499278,0.00026355046,0.0041222395],"category_scores_gemma":[0.0027604392,0.00015584349,0.00031032693,0.00045798076,0.00054337335,0.00048900384,0.0013352978,0.0006475578,0.00036867717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041104556,0.0010218266,0.9324963,0.00026152626,0.00013143658,0.0010040457,0.010216075,0.0010590344,0.0015960265,0.0015309863,0.0019438198,0.0483279],"study_design_scores_gemma":[0.00003250386,0.0003307461,0.9710509,0.00012971362,0.000048862155,0.00023355444,0.022921443,0.0021363115,0.00047957784,0.00074455136,0.0018673606,0.000024416111],"about_ca_topic_score_codex":0.0063034175,"about_ca_topic_score_gemma":0.008067744,"teacher_disagreement_score":0.0063034175,"about_ca_system_score_codex":0.00085311686,"about_ca_system_score_gemma":0.002105579,"threshold_uncertainty_score":0.01379025},"labels":[],"label_agreement":null},{"id":"W3041188146","doi":"10.5430/ijfr.v11n4p443","title":"The Role of Shariah Auditor in Islamic Banks: The Effect of Shariah Governance Framework (SGF) 2011","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sultan Zainal Abidin","keywords":"Accounting; Business; Audit; Shareholder; Corporate governance; Islam; External auditor; Stakeholder; Islamic banking; Audit committee; Internal audit; Public relations; Finance; Political science","score_opus":0.017086971425418727,"score_gpt":0.3018483673969104,"score_spread":0.2847613959714917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041188146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676077,0.00052565406,0.0012648103,0.0055535436,0.00011706991,0.0001435791,0.000023516044,0.000022238868,0.024741843],"genre_scores_gemma":[0.997999,0.00012064402,0.00046411628,0.00035638182,0.000008906942,0.000018000033,0.000007911307,0.0000028167074,0.0010220481],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9791875,0.013685167,0.00064873585,0.0006959279,0.0025343662,0.003248228],"domain_scores_gemma":[0.96655846,0.011661405,0.008844171,0.0015547181,0.0055858274,0.005795452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020802975,0.00022482757,0.0002325398,0.0009702487,0.004330891,0.005745401,0.0008691653,0.0013915409,0.0020781276],"category_scores_gemma":[0.029597953,0.00030206947,0.00029815795,0.0008921368,0.0055326354,0.0028552143,0.0037758835,0.0018586541,0.0001864587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040367575,0.0007986643,0.50686574,0.000537365,0.000076408185,0.00222599,0.21724562,0.0017462693,0.002778298,0.0668662,0.0107491175,0.18970661],"study_design_scores_gemma":[0.00007969293,0.00066787703,0.5243365,0.0010535044,0.00007176842,0.0006229063,0.41141036,0.0025955336,0.0011977778,0.0074305544,0.050374992,0.00015853065],"about_ca_topic_score_codex":0.018580554,"about_ca_topic_score_gemma":0.03793267,"teacher_disagreement_score":0.020802975,"about_ca_system_score_codex":0.00752494,"about_ca_system_score_gemma":0.017719012,"threshold_uncertainty_score":0.110017955},"labels":[],"label_agreement":null},{"id":"W3041229007","doi":"10.5430/ijfr.v11n4p370","title":"Social Media Cost and the Levels of Cash Flow Among Listed Banks in Emerging Economies in Africa","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cash flow; Leverage (statistics); Operating cash flow; Finance; Business; Emerging markets; Cash flow forecasting; Monetary economics; Economics","score_opus":0.11677799298016778,"score_gpt":0.33670639809309016,"score_spread":0.2199284051129224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041229007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993837,0.000036238995,0.000011677888,0.000043714826,4.6856195e-7,0.0000023945652,0.00007291459,4.1300555e-7,0.0004483755],"genre_scores_gemma":[0.9996388,0.000053062868,0.000020529755,0.000004723379,0.0000016312932,0.0000027228946,0.00005510025,1.9455558e-7,0.00022321966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997775,0.000059212478,0.000017900113,0.000017425496,0.000032157364,0.00009587706],"domain_scores_gemma":[0.995883,0.0012779494,0.0022532744,0.000056645935,0.00021341938,0.00031574807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462709,0.00018646795,0.00014659221,0.0011595654,0.0003692211,0.001034015,0.0001862801,0.00025667096,0.003973419],"category_scores_gemma":[0.0022248132,0.000107418586,0.0002393183,0.0009715141,0.00032396018,0.0006560114,0.00045135946,0.00037822698,0.00018668747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049036844,0.00007869661,0.99594826,0.000013937605,0.000021771011,0.0001696268,0.0005350262,0.00023659799,0.0001516003,0.00027141493,0.0000715696,0.002452599],"study_design_scores_gemma":[0.0000027427873,0.00005310082,0.9963559,0.000018799117,0.000023430084,0.00008304294,0.0024566127,0.00051827845,0.00011163902,0.00008941792,0.000283288,0.000003872309],"about_ca_topic_score_codex":0.013631104,"about_ca_topic_score_gemma":0.018163001,"teacher_disagreement_score":0.013631104,"about_ca_system_score_codex":0.00075460266,"about_ca_system_score_gemma":0.0003611663,"threshold_uncertainty_score":0.027103543},"labels":[],"label_agreement":null},{"id":"W3041311968","doi":"10.5430/ijfr.v11n4p180","title":"The Effect of the Arab Spring on the Performance of Islamic and Conventional Banks in Egypt: Which Model Performs Better Amidst Crisis?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Solvency; Market liquidity; Profitability index; Capital adequacy ratio; Financial crisis; Financial ratio; Credit risk; Liquidity risk; Economics; Financial system; Monetary economics; Econometrics; Business; Actuarial science; Finance; Macroeconomics","score_opus":0.02387196268363245,"score_gpt":0.2857656749366432,"score_spread":0.2618937122530107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041311968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882025,0.000058016587,0.000052898304,0.00016831564,0.0000040677437,0.0000042050406,0.00007229583,0.0000057799025,0.000814155],"genre_scores_gemma":[0.9993869,0.000057224515,0.000040780338,0.000020314736,0.0000033025854,0.0000018591915,0.00010475421,0.0000023064601,0.0003824253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922276,0.0002771947,0.000057399022,0.00009439918,0.00011248734,0.00023572276],"domain_scores_gemma":[0.99755377,0.0006996779,0.00064882863,0.00013920768,0.00054898055,0.00040964218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021894502,0.000419889,0.00044676382,0.00068884244,0.0004063867,0.0029216073,0.00046554866,0.00066968356,0.002271143],"category_scores_gemma":[0.0048285117,0.00017535288,0.00035571726,0.0007055196,0.0007635255,0.0014362172,0.00094110833,0.0006328247,0.00061322754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017992398,0.0004958157,0.95311326,0.00006909179,0.00018945157,0.0007910802,0.001976186,0.019924158,0.0009600915,0.0014487662,0.0022987018,0.016934218],"study_design_scores_gemma":[0.00009480423,0.0013867607,0.9113133,0.00009307258,0.0001299942,0.0002904661,0.020860624,0.06016143,0.0019325811,0.0013939806,0.0022837168,0.00005921833],"about_ca_topic_score_codex":0.023086425,"about_ca_topic_score_gemma":0.022004424,"teacher_disagreement_score":0.023086425,"about_ca_system_score_codex":0.0017917106,"about_ca_system_score_gemma":0.0010917594,"threshold_uncertainty_score":0.0459041},"labels":[],"label_agreement":null},{"id":"W3041544551","doi":"10.5430/ijfr.v11n4p195","title":"Effects of Board Size, Board Composition and Dividend Policy on Real Earnings Management in the Jordanian Listed Industrial Firms","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zarqa University","keywords":"Accounting; Shareholder; Business; Database transaction; Dividend; Audit; Dividend policy; Earnings; Composition (language); On board; Value (mathematics); Dividend payout ratio; Audit committee; Bridging (networking); Earnings management; Finance; Corporate governance; Database; Statistics","score_opus":0.03423221537752749,"score_gpt":0.31480465173991157,"score_spread":0.28057243636238405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041544551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924374,0.000090904534,0.000013984658,0.00007994527,0.0000018113212,0.0000017816413,0.000023271503,0.0000010899507,0.0005435088],"genre_scores_gemma":[0.9991192,0.00006962919,0.000024357025,0.000015829628,0.000006005076,0.0000017550844,0.000049188988,4.704903e-7,0.000713642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995202,0.00016710609,0.000044688084,0.000061633575,0.000088830755,0.00011754961],"domain_scores_gemma":[0.9953402,0.0009873009,0.0024381834,0.00012198743,0.00047898036,0.0006332172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008877926,0.0001239363,0.00012558875,0.00046607346,0.0003038916,0.001009916,0.00019456216,0.00020803815,0.0027063747],"category_scores_gemma":[0.0028281745,0.00007484965,0.0001385361,0.0003746536,0.00029876147,0.00041372134,0.0004140583,0.0003417976,0.00027568333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014452076,0.0001797071,0.9884397,0.000012919392,0.000023159626,0.00012855291,0.0003971783,0.00034301673,0.00034223305,0.00024201241,0.0002668125,0.009480228],"study_design_scores_gemma":[0.000003953212,0.00011488738,0.9977012,0.000009324225,0.0000113232745,0.000023566983,0.0010862612,0.0003775642,0.00014951863,0.000070180635,0.00044944463,0.000002682684],"about_ca_topic_score_codex":0.010128078,"about_ca_topic_score_gemma":0.019261032,"teacher_disagreement_score":0.010128078,"about_ca_system_score_codex":0.0008574181,"about_ca_system_score_gemma":0.0008180673,"threshold_uncertainty_score":0.020138264},"labels":[],"label_agreement":null},{"id":"W3041599476","doi":"10.5430/ijfr.v11n4p214","title":"An Analysis of Mutual Fund Managers’ Timing Abilities - Evidence From Chinese Equity Funds","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Passive management; Market timing; Closed-end fund; Fund of funds; Open-end fund; Market liquidity; Business; Global assets under management; Mutual fund; Stable value fund; Volatility (finance); Equity (law); Institutional investor; Monetary economics; Finance; Economics; Initial public offering","score_opus":0.3178043919669072,"score_gpt":0.42954589481703886,"score_spread":0.11174150285013168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041599476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992649,0.00010888414,0.000035926216,0.00004479647,0.0000013774131,0.00000319984,0.00010731603,0.000001228977,0.0004324694],"genre_scores_gemma":[0.99962556,0.000060972216,0.000025373602,0.000009696036,0.0000071066906,0.0000034822372,0.00015066697,4.109044e-7,0.000116634554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922764,0.000116256044,0.000117248106,0.00011705662,0.0002483118,0.00017350438],"domain_scores_gemma":[0.99327964,0.0011389226,0.0038950557,0.00031281597,0.0006946801,0.00067893317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019302352,0.00025387472,0.0002415838,0.00258352,0.00045639026,0.0006709286,0.0003419583,0.000304559,0.0011228957],"category_scores_gemma":[0.006836295,0.00012246222,0.00034144966,0.0019637584,0.0003906003,0.0007707881,0.000910452,0.00017141899,0.00009878315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057092726,0.000013824784,0.99322456,0.000019837073,0.00003489862,0.00010414422,0.00085505465,0.00013731027,0.00027170533,0.00019946598,0.00012454225,0.004957392],"study_design_scores_gemma":[0.0000033027998,0.000028406916,0.99864954,0.000005115896,0.000024896402,0.000045494933,0.0003536247,0.00040627478,0.00013504458,0.000060095765,0.00028371572,0.000004608394],"about_ca_topic_score_codex":0.023681862,"about_ca_topic_score_gemma":0.022310589,"teacher_disagreement_score":0.023681862,"about_ca_system_score_codex":0.00091443944,"about_ca_system_score_gemma":0.00083284103,"threshold_uncertainty_score":0.047088027},"labels":[],"label_agreement":null},{"id":"W3041619952","doi":"10.5430/ijfr.v11n4p267","title":"The Role of Profitability in the Effect of Company Growth on the Debt Policy","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Return on assets; Monetary economics; Business; Stock exchange; Return on equity; Debt; Asset (computer security); Stock (firearms); Financial system; Finance; Economics","score_opus":0.032659188972208944,"score_gpt":0.31141590424873117,"score_spread":0.27875671527652224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041619952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990591,0.0010484913,0.000180102,0.0010490849,0.000018590192,0.000015169399,0.00017289676,0.000007437285,0.006917325],"genre_scores_gemma":[0.99868065,0.00030384358,0.000048197286,0.0000583462,0.000018609391,0.0000039078595,0.000084167936,0.0000016940609,0.00080058805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992199,0.0002612946,0.00005310319,0.00011413493,0.0001172897,0.00023421334],"domain_scores_gemma":[0.99187297,0.0030282019,0.003296676,0.00018579178,0.00044975575,0.0011665999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009957341,0.0002588318,0.0002940205,0.00064488605,0.0004470846,0.002019282,0.00025392967,0.0006383881,0.0030177627],"category_scores_gemma":[0.00441084,0.0001179201,0.0002675142,0.00053332973,0.0006513185,0.0009096244,0.0009457443,0.0010675422,0.00033241409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016782986,0.00028183003,0.98352,0.000051908875,0.00012231804,0.00067588105,0.0005214105,0.00084536313,0.0009241715,0.0035391655,0.00048605693,0.008864121],"study_design_scores_gemma":[0.000007206623,0.00011367909,0.99558794,0.000037480593,0.000048093687,0.0001009466,0.0008997208,0.0005225948,0.00028570555,0.0009115097,0.0014769018,0.000008238035],"about_ca_topic_score_codex":0.00558763,"about_ca_topic_score_gemma":0.006785599,"teacher_disagreement_score":0.00558763,"about_ca_system_score_codex":0.0010049031,"about_ca_system_score_gemma":0.001243843,"threshold_uncertainty_score":0.011110246},"labels":[],"label_agreement":null},{"id":"W3041758895","doi":"10.5430/ijfr.v11n4p398","title":"The Impact of Political Stability on the Effectiveness of the Early Warning Systems in Predicting the Financial Crises: The Case of Jordan and Qatar","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Financial crisis; Politics; Warning system; Government (linguistics); Early warning system; Economics; Financial system; Business; Finance; Development economics; Macroeconomics; Political science","score_opus":0.05285980832710936,"score_gpt":0.3502142432214286,"score_spread":0.29735443489431923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041758895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624854,0.00016509047,0.00042862046,0.0006717475,0.00000854676,0.000016123899,0.00006395787,0.000008543851,0.0023888047],"genre_scores_gemma":[0.99949574,0.0000653648,0.00016891609,0.00002298502,0.000009834636,0.0000030783135,0.000059203187,0.0000016063868,0.00017309008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974383,0.0017915557,0.000080966885,0.00011409626,0.00021524187,0.0003598461],"domain_scores_gemma":[0.97884345,0.015970577,0.0021184764,0.00037711812,0.0019302216,0.0007602029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069326377,0.00041495723,0.0004317698,0.0019640669,0.0007813981,0.0025999683,0.00038190745,0.0006726624,0.0017493723],"category_scores_gemma":[0.022283059,0.0002199089,0.0006075245,0.0011741739,0.0008928308,0.0015982068,0.0010723288,0.0013559769,0.00024633287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006134252,0.00032854662,0.90858114,0.000086220076,0.00025639153,0.0010295031,0.0016100045,0.06167887,0.00045842413,0.004359729,0.0011283478,0.019869326],"study_design_scores_gemma":[0.00008782364,0.00073392875,0.71925277,0.00013200774,0.0002737293,0.00041200896,0.01215669,0.2590835,0.001798907,0.0037177033,0.0022907525,0.000060223632],"about_ca_topic_score_codex":0.025956871,"about_ca_topic_score_gemma":0.020931836,"teacher_disagreement_score":0.025956871,"about_ca_system_score_codex":0.0012473001,"about_ca_system_score_gemma":0.0019116064,"threshold_uncertainty_score":0.051611543},"labels":[],"label_agreement":null},{"id":"W3041794500","doi":"10.5430/ijfr.v11n4p296","title":"Board of Directors and Financial Reporting Quality in Vietnam Listed Companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Audit; Accounting; Independence (probability theory); Quality (philosophy); Audit committee; Stock (firearms); Regression analysis; Finance; Engineering; Statistics","score_opus":0.2380102480848881,"score_gpt":0.45308216583543626,"score_spread":0.21507191775054815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041794500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98798454,0.0022014144,0.00034980153,0.0020508433,0.00007257521,0.000025429932,0.00059364206,0.000014630685,0.0067072506],"genre_scores_gemma":[0.998159,0.00033032938,0.00009015343,0.00008976728,0.00004251563,0.000005006453,0.00027443963,0.0000031052414,0.0010056478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972312,0.00089217763,0.00032696853,0.00023490792,0.0009588119,0.0003560085],"domain_scores_gemma":[0.9482083,0.009710165,0.03241103,0.00092000683,0.005746113,0.0030043458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00400578,0.00011914713,0.00016046286,0.0013071838,0.00047173523,0.0016404454,0.00029274725,0.0002523835,0.002737546],"category_scores_gemma":[0.023439469,0.00011355552,0.00019648515,0.0016800833,0.00041633134,0.00078058464,0.00053029467,0.00039061785,0.00022822928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002012225,0.000024374525,0.990436,0.000023021745,0.000020464271,0.000056380613,0.00041265722,0.000097685086,0.000038235063,0.00018023567,0.001056491,0.007634218],"study_design_scores_gemma":[0.0000029094754,0.000024493127,0.9961279,0.000028490098,0.00001331423,0.00007116581,0.0012565854,0.0002669643,0.000062478684,0.000062084524,0.0020787413,0.000004769644],"about_ca_topic_score_codex":0.03025973,"about_ca_topic_score_gemma":0.02956384,"teacher_disagreement_score":0.03025973,"about_ca_system_score_codex":0.0013420257,"about_ca_system_score_gemma":0.0011638092,"threshold_uncertainty_score":0.060167193},"labels":[],"label_agreement":null},{"id":"W3041795343","doi":"10.5430/ijfr.v11n4p408","title":"The Intervening Effect of the Dividend Policy on Financial Performance and Firm Value in Large Indonesian Firms","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend policy; Market liquidity; Enterprise value; Leverage (statistics); Profitability index; Stock exchange; Dividend; Path analysis (statistics); Business; Nonprobability sampling; Monetary economics; Market value added; Sobel test; Intervening variable; Economics; Econometrics; Finance; Population; Statistics","score_opus":0.027918682275550877,"score_gpt":0.3019128518352915,"score_spread":0.2739941695597406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041795343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909353,0.00005790553,0.000039154842,0.00006247398,0.000001481094,0.0000018531305,0.000027369699,0.0000011786765,0.00071514014],"genre_scores_gemma":[0.9997942,0.000025097439,0.000022383989,0.0000063929688,0.000002545029,0.0000010545587,0.000027853284,3.549267e-7,0.00012014507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995301,0.0001204708,0.000043811553,0.00008972237,0.00011877728,0.00009715217],"domain_scores_gemma":[0.994616,0.0017496508,0.0025097632,0.00017890915,0.0002925497,0.0006532399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069311116,0.00016742908,0.00018649943,0.00046034539,0.0002843406,0.0014697158,0.00027609445,0.0003095445,0.0011503821],"category_scores_gemma":[0.0030917577,0.00010061916,0.00015817779,0.0005230483,0.00049408776,0.0006421247,0.0006217527,0.0005990044,0.00016785925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006074403,0.00015411235,0.99525213,0.0000073991,0.000027429214,0.00014136778,0.00018979062,0.000255286,0.0003189323,0.00026859503,0.00005703218,0.0032671122],"study_design_scores_gemma":[0.0000018046494,0.000046231704,0.9985746,0.0000045828792,0.000009312633,0.000030919346,0.00024913787,0.0006702034,0.00016556699,0.00013118579,0.00011357158,0.0000029156008],"about_ca_topic_score_codex":0.0052417624,"about_ca_topic_score_gemma":0.0072859973,"teacher_disagreement_score":0.0052417624,"about_ca_system_score_codex":0.00087918644,"about_ca_system_score_gemma":0.0006324719,"threshold_uncertainty_score":0.010422468},"labels":[],"label_agreement":null},{"id":"W3041879351","doi":"10.5430/ijfr.v11n4p255","title":"CEO Characteristics and Real Earnings Management in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Chief executive officer; Accounting; Business; Earnings management; Stock exchange; Corporation; Earnings; Association (psychology); Financial statement; Empirical evidence; Finance; Economics; Management; Psychology","score_opus":0.24429309679749192,"score_gpt":0.48065519108623156,"score_spread":0.23636209428873964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041879351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990011,0.00018401374,0.000018677494,0.00014992089,0.0000030488775,0.0000017675142,0.000045500397,7.249472e-7,0.0005952464],"genre_scores_gemma":[0.99914575,0.00015984019,0.000035066718,0.00003245592,0.000010408039,0.0000014339654,0.000085926375,6.0510513e-7,0.0005284371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996594,0.00009416722,0.000047352958,0.000036088186,0.000106578715,0.000056475033],"domain_scores_gemma":[0.9954075,0.00062255573,0.0028180624,0.00009674649,0.0005981022,0.000457017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038136,0.00008939493,0.00010240018,0.00060385757,0.00028491972,0.00082617457,0.00015158387,0.00015423346,0.0015191025],"category_scores_gemma":[0.002630927,0.000053218613,0.00009165153,0.0007029424,0.00021017808,0.00038053136,0.00041899775,0.00023039358,0.00020806254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026203224,0.000042796255,0.9930408,0.00001131061,0.000009460124,0.000092193135,0.0006475271,0.00007699881,0.000086999324,0.000076227334,0.0002771673,0.005612347],"study_design_scores_gemma":[0.000002691299,0.000042132055,0.9947142,0.000017018167,0.0000050001595,0.000081231425,0.0035622215,0.00020885315,0.00009790272,0.00006614871,0.0011982978,0.000004425302],"about_ca_topic_score_codex":0.004115466,"about_ca_topic_score_gemma":0.009611136,"teacher_disagreement_score":0.004115466,"about_ca_system_score_codex":0.0004236739,"about_ca_system_score_gemma":0.00052515796,"threshold_uncertainty_score":0.0081830025},"labels":[],"label_agreement":null},{"id":"W3041885769","doi":"10.5430/ijfr.v11n4p316","title":"Internal Control, Organizational Culture, and Quality of Information Accounting to Prevent Fraud: Case Study From Indonesia's Agriculture Industry","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy and Behavior","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credibility; Quality (philosophy); Control (management); Internal control; Population; Descriptive statistics; Business; Marketing; Data collection; Descriptive research; Statistical population; Agriculture; Accounting; Audit; Statistics; Management; Mathematics; Economics; Sociology; Geography","score_opus":0.04350423403775287,"score_gpt":0.3493905206117608,"score_spread":0.3058862865740079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041885769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978855,0.00017493936,0.00024382006,0.0002747268,0.000005345522,0.000035209323,0.000014254943,0.0000017597292,0.0013644972],"genre_scores_gemma":[0.99716586,0.00060733454,0.0007419694,0.00016742166,0.000011004462,0.00003428195,0.000020204297,0.000002723681,0.0012490524],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99857485,0.00067436486,0.00009744776,0.00010203364,0.00026490793,0.00028636408],"domain_scores_gemma":[0.9970415,0.0013846845,0.0006190561,0.00017892588,0.0002867917,0.0004890281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021966908,0.00037210307,0.00053818076,0.0017277349,0.00583612,0.0025582279,0.0012183553,0.0021542453,0.0016973788],"category_scores_gemma":[0.0033723149,0.00040556295,0.00048430913,0.0017873257,0.0018899407,0.001615339,0.0017622196,0.0014155296,0.00029624335],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043113844,0.009061935,0.3246564,0.00074426015,0.000084147134,0.1568072,0.43516257,0.0011960249,0.003561845,0.005766798,0.004198959,0.058328725],"study_design_scores_gemma":[0.000079057914,0.0013566839,0.1677772,0.00056531833,0.00010142296,0.038588297,0.7664341,0.0037583052,0.0037477252,0.0010619749,0.016439887,0.00009004706],"about_ca_topic_score_codex":0.007418854,"about_ca_topic_score_gemma":0.017085575,"teacher_disagreement_score":0.007418854,"about_ca_system_score_codex":0.002156529,"about_ca_system_score_gemma":0.0015687228,"threshold_uncertainty_score":0.015646756},"labels":[],"label_agreement":null},{"id":"W3041995456","doi":"10.5430/ijfr.v11n4p346","title":"Modelling and Forecasting the Volatility of Cryptocurrencies: A Comparison of Nonlinear GARCH-Type Models","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryptocurrency; Stylized fact; Econometrics; Volatility (finance); Autoregressive conditional heteroskedasticity; Kurtosis; Economics; Skewness; Nonlinear system; Skew; Mean reversion; Computer science; Financial economics; Mathematics; Statistics","score_opus":0.40005970463253754,"score_gpt":0.37605698475849797,"score_spread":0.02400271987403957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041995456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6856093,0.0026779796,0.3034451,0.0008119878,0.00014394638,0.00007504393,0.00021285505,0.00027180498,0.0067520123],"genre_scores_gemma":[0.98520905,0.0010197462,0.012567368,0.000028048205,0.000050939507,0.000013883294,0.00008420952,0.000020572588,0.0010061659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997876,0.00008522748,0.000018207968,0.00004030252,0.000047888596,0.000020652014],"domain_scores_gemma":[0.99914575,0.0006037017,0.00010371977,0.000052004823,0.00006532378,0.000029543362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012152687,0.000662982,0.0005438915,0.0005767142,0.00018788787,0.0012766649,0.00064053887,0.00080035883,0.00057422987],"category_scores_gemma":[0.0025842255,0.00016674226,0.00064170285,0.0004257137,0.00035740668,0.0009757836,0.00047578858,0.0006575042,0.00011719527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008374086,0.00005550558,0.0067967093,0.0000598952,0.00006706076,0.000086072665,0.00005311605,0.96532714,0.001061353,0.008415023,0.0001425029,0.017851962],"study_design_scores_gemma":[0.000003203842,0.000015387332,0.0005457607,0.0000036411775,0.000007024131,0.000009595732,0.000007750788,0.99811494,0.00013946265,0.0010586114,0.00009024751,0.0000043447685],"about_ca_topic_score_codex":0.009159175,"about_ca_topic_score_gemma":0.003943348,"teacher_disagreement_score":0.009159175,"about_ca_system_score_codex":0.000424882,"about_ca_system_score_gemma":0.00065264263,"threshold_uncertainty_score":0.018211722},"labels":[],"label_agreement":null},{"id":"W3042072824","doi":"10.5430/ijfr.v11n4p241","title":"Factors Affecting the Competitive Capacity of Commercial Banks: A Critical Analysis in an Emerging Economy","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ordinary least squares; Endogeneity; Statistic; Economics; Index (typography); Order (exchange); Generalized method of moments; Econometrics; Inflation (cosmology); Panel data; Finance; Statistics; Mathematics","score_opus":0.16296278936543962,"score_gpt":0.38944809712085393,"score_spread":0.2264853077554143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042072824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973743,0.00022374243,0.00016307333,0.00017004117,0.0000027615595,0.000013749009,0.000076143406,9.267346e-7,0.0019753424],"genre_scores_gemma":[0.9996333,0.00013069094,0.000048344446,0.000011527425,0.000004797772,0.0000022873692,0.00004663432,3.5509237e-7,0.00012208089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996147,0.000094666604,0.000030088097,0.000053407526,0.00009752821,0.000109640845],"domain_scores_gemma":[0.99584657,0.0013739371,0.0013525394,0.000059478767,0.0008898054,0.00047775172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009569725,0.00017874567,0.00016122972,0.001959164,0.000581444,0.0017717556,0.00023273031,0.0002702915,0.0015132063],"category_scores_gemma":[0.0026583464,0.00009188229,0.00024451848,0.00166795,0.00069619686,0.0012666157,0.00055843045,0.0004618708,0.00007470746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005617348,0.000079072386,0.9835503,0.000054707525,0.000052219613,0.0010088433,0.0020839127,0.0011289187,0.00030118253,0.0030693968,0.00039596076,0.008219461],"study_design_scores_gemma":[0.0000036127517,0.000105405634,0.9749136,0.00005405401,0.000037886904,0.00021712376,0.017002711,0.004549626,0.0003346109,0.0010065528,0.0017616661,0.000013280227],"about_ca_topic_score_codex":0.020677824,"about_ca_topic_score_gemma":0.02326327,"teacher_disagreement_score":0.020677824,"about_ca_system_score_codex":0.0017973876,"about_ca_system_score_gemma":0.0015895109,"threshold_uncertainty_score":0.041114926},"labels":[],"label_agreement":null},{"id":"W3042092793","doi":"10.5430/ijfr.v11n4p432","title":"Audit Committee’s Role in Moderating the Effect of Financial Distress Towards Going Concern Audit Opinion","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Accounting; Joint audit; Auditor's report; Going concern; Paragraph; Auditor independence; Audit evidence; Business; Explanatory power; Audit committee; External auditor; Chief audit executive; Internal audit; Nonprobability sampling; Walk-through test; Audit plan; Political science; Medicine; Law","score_opus":0.0320274143913471,"score_gpt":0.3219977965804647,"score_spread":0.2899703821891176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042092793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243236,0.0003931458,0.0006579594,0.0008589215,0.000079214195,0.00012076533,0.00012670348,0.000015861524,0.0053150533],"genre_scores_gemma":[0.99863726,0.000075688455,0.00025465025,0.00011373577,0.000030482803,0.000060423736,0.00005571573,0.000006673755,0.00076539064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96717167,0.021452574,0.0029001369,0.0016761207,0.0044094143,0.002390092],"domain_scores_gemma":[0.70951855,0.17824186,0.07820091,0.007882651,0.014091296,0.012064758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018399343,0.00033146347,0.00052827795,0.0012980989,0.0014263801,0.0030858743,0.00082726916,0.001259594,0.0050120386],"category_scores_gemma":[0.13015863,0.0003323038,0.00060769153,0.0017648174,0.0014560228,0.0010766971,0.001896584,0.0016540705,0.0005142777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011023853,0.0005082818,0.97515875,0.00014117168,0.00032959093,0.000245959,0.003489632,0.00035850392,0.00061123434,0.0011975671,0.0012734771,0.015583465],"study_design_scores_gemma":[0.000023618079,0.00027443672,0.99495983,0.00009299869,0.00015976425,0.000055664084,0.0019463921,0.0006756894,0.00026866086,0.00029860935,0.0012272721,0.000017155613],"about_ca_topic_score_codex":0.010752222,"about_ca_topic_score_gemma":0.00977688,"teacher_disagreement_score":0.018399343,"about_ca_system_score_codex":0.0019079816,"about_ca_system_score_gemma":0.0037562004,"threshold_uncertainty_score":0.09730619},"labels":[],"label_agreement":null},{"id":"W3042230194","doi":"10.5430/ijfr.v11n4p546","title":"Does Financial Performance Matter? Evidence on the Impact of Liquidity and Firm Size on Stock Return in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Return on equity; Stock exchange; Business; Monetary economics; Debt-to-equity ratio; Stock (firearms); Stock market; Financial system; Market liquidity; Financial economics; Economics; Finance","score_opus":0.08055134300079415,"score_gpt":0.33412902957774576,"score_spread":0.2535776865769516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042230194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99473804,0.0012040744,0.0000480866,0.0007058613,0.000018779407,0.0000048130714,0.00022587925,0.0000033662488,0.003051264],"genre_scores_gemma":[0.99903405,0.00040929572,0.00002521152,0.000067080146,0.00002412337,0.000002526412,0.00014448357,0.0000017039674,0.0002914443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999283,0.00023046773,0.00009430284,0.00014221227,0.00012402354,0.00012593243],"domain_scores_gemma":[0.9878592,0.004392608,0.0058196425,0.0003273591,0.0004441145,0.001157048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014968379,0.00021244957,0.00023448457,0.0008635897,0.00033013447,0.0013184915,0.0004455757,0.00053744897,0.004064922],"category_scores_gemma":[0.0062278938,0.00016728244,0.00044938314,0.0010069027,0.00071231736,0.0009098892,0.00062171655,0.00078326184,0.000557104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006746958,0.00007187499,0.99651235,0.000020660671,0.00005815581,0.000119514756,0.00011380048,0.000035801873,0.000056031255,0.00011069512,0.00016933438,0.0026644114],"study_design_scores_gemma":[0.0000027571855,0.000040613373,0.9991811,0.000018901837,0.000034819557,0.000046144167,0.00023906711,0.000103639686,0.00004312248,0.000080579994,0.00020682847,0.0000023672599],"about_ca_topic_score_codex":0.0060528126,"about_ca_topic_score_gemma":0.009349078,"teacher_disagreement_score":0.0060528126,"about_ca_system_score_codex":0.000357274,"about_ca_system_score_gemma":0.00050819403,"threshold_uncertainty_score":0.013598502},"labels":[],"label_agreement":null},{"id":"W3042301425","doi":"10.5430/ijfr.v11n4p537","title":"Debt Covenants and Accounting Conservatism","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Debt; Business; Accounting; Stock exchange; Conservatism; Financial distress; Audit; Covenant; Senior debt; Monetary economics; Financial system; Internal debt; Finance; Debt levels and flows; Economics","score_opus":0.047442889147464584,"score_gpt":0.31855877882775535,"score_spread":0.27111588968029077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042301425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967405,0.0003912676,0.00027077136,0.00036629965,0.000006190982,0.0000074690242,0.00010618789,0.000004905206,0.0021063106],"genre_scores_gemma":[0.9995534,0.00005945828,0.0000630498,0.000016590284,0.00000889828,0.0000015052437,0.00009933649,0.0000012528253,0.00019645586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960419,0.0011034964,0.0009674257,0.00045670965,0.0010191319,0.000411291],"domain_scores_gemma":[0.8012894,0.02733049,0.15709825,0.0057210894,0.005633182,0.0029275734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037731044,0.0001311478,0.00021825059,0.001815172,0.000495974,0.0020094602,0.00044304546,0.0004616175,0.0024090712],"category_scores_gemma":[0.038108155,0.00013812612,0.00024621031,0.0027391256,0.0011159483,0.0016341831,0.0014778846,0.001463799,0.00025846536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031010433,0.000023598626,0.99566615,0.000010501109,0.000020273024,0.000065116656,0.0002119134,0.00014335006,0.000059668128,0.00042589588,0.00010014177,0.0032423926],"study_design_scores_gemma":[0.0000015553268,0.000024444505,0.99723464,0.000029384419,0.000009926718,0.00019300614,0.00064177124,0.00043626752,0.0001016399,0.0005251048,0.0007955049,0.0000067016404],"about_ca_topic_score_codex":0.0038491238,"about_ca_topic_score_gemma":0.0044350326,"teacher_disagreement_score":0.0038491238,"about_ca_system_score_codex":0.00095446606,"about_ca_system_score_gemma":0.0009424588,"threshold_uncertainty_score":0.019954324},"labels":[],"label_agreement":null},{"id":"W3043028634","doi":"10.5430/ijfr.v11n4p523","title":"Determinants of Arrears in the Municipal Savings Banks, Rural Savings Banks and EDPYMES of Peru","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Business, Education, Mathematics Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounts receivable; Accounts payable; Profitability index; Working capital; Arrears; Business; Financial system; Market liquidity; Econometric model; Finance; Economics; Monetary economics; Debt; Econometrics; Payment","score_opus":0.08376578350787031,"score_gpt":0.3771328066145405,"score_spread":0.2933670231066702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043028634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988244,0.00009758753,0.000039747192,0.00016386207,5.277417e-7,0.000002887331,0.000094890456,0.0000025131446,0.0007735813],"genre_scores_gemma":[0.9992478,0.0001051955,0.000021722277,0.0000075814396,0.0000021203857,0.0000035488993,0.00011505975,6.9380746e-7,0.00049640844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976236,0.000088741595,0.000016273203,0.000027832164,0.00004244708,0.0000622953],"domain_scores_gemma":[0.998201,0.0004457583,0.0009695533,0.000042333246,0.00020848365,0.00013281213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031295547,0.00009808556,0.00014277779,0.0004966704,0.0003308153,0.0009770576,0.00018281405,0.00026053545,0.00311647],"category_scores_gemma":[0.002570989,0.00012534732,0.00010788813,0.00089543004,0.0002638952,0.00042535228,0.0006155564,0.00041261103,0.00030006745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041530842,0.00004155921,0.9910944,0.000025983363,0.000039970684,0.00040504453,0.0019126985,0.000427797,0.00028240136,0.00076059904,0.00039936905,0.0045686807],"study_design_scores_gemma":[0.000002585077,0.000031862393,0.9940619,0.000015374548,0.000014661277,0.00015219829,0.003365856,0.00080339704,0.00007093393,0.00013407112,0.0013438602,0.0000033193141],"about_ca_topic_score_codex":0.013455192,"about_ca_topic_score_gemma":0.01884756,"teacher_disagreement_score":0.013455192,"about_ca_system_score_codex":0.00038929962,"about_ca_system_score_gemma":0.0003488754,"threshold_uncertainty_score":0.026753724},"labels":[],"label_agreement":null},{"id":"W3043042305","doi":"10.5430/ijfr.v11n4p502","title":"An Event Study Analysis of Thailand’s 2019 General Election: A Long Window of Multiple Sub-events","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Thammasat University","keywords":"General election; Event study; Event (particle physics); Econometrics; Stock (firearms); Window (computing); Statistics; Computer science; Economics; Political science; Mathematics; Geography; Physics; Politics","score_opus":0.08163571130830946,"score_gpt":0.3521462254355175,"score_spread":0.27051051412720806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043042305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678889,0.0007100494,0.024039717,0.0008061341,0.00016944777,0.00019583276,0.0025315506,0.000106927895,0.0035512699],"genre_scores_gemma":[0.9936254,0.00015164464,0.001701326,0.000059349783,0.000093372895,0.00012290034,0.0019844116,0.000011735192,0.0022498704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998173,0.00090486236,0.00007828399,0.00038174939,0.00019513216,0.00026694586],"domain_scores_gemma":[0.98133886,0.013269859,0.0026307844,0.0009029814,0.0007863151,0.0010711962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057319663,0.0004636651,0.00086760597,0.0009945617,0.00071482774,0.001465147,0.0009018033,0.00077545416,0.005317902],"category_scores_gemma":[0.013069217,0.00027649695,0.0012627653,0.0013970901,0.00045586546,0.0011436995,0.0015603668,0.0018287749,0.00043877278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004429215,0.001509229,0.86523265,0.0003699218,0.0018782227,0.0020328641,0.0011659454,0.04235245,0.0024686772,0.014188343,0.007725369,0.05664712],"study_design_scores_gemma":[0.0001871615,0.0018714839,0.66945046,0.00008157118,0.0015821359,0.0004058902,0.0019917462,0.30728373,0.0021750303,0.0061149425,0.008707625,0.0001481171],"about_ca_topic_score_codex":0.017167091,"about_ca_topic_score_gemma":0.01304489,"teacher_disagreement_score":0.017167091,"about_ca_system_score_codex":0.0007200039,"about_ca_system_score_gemma":0.0012566677,"threshold_uncertainty_score":0.03413433},"labels":[],"label_agreement":null},{"id":"W3043743005","doi":"10.5430/ijfr.v11n4p556","title":"Impact of External Auditing Quality and Audit Committees on Accounting Conservatism and the Performance of Industrial Firms Listed at the Amman Stock Exchange","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Business; Audit; Quality audit; Joint audit; Chief audit executive; Audit evidence; Accrual; Conservatism; Audit plan; Stock exchange; Audit committee; Walk-through test; Auditor independence; Information technology audit; Internal audit; Finance; Earnings","score_opus":0.10277588608359609,"score_gpt":0.35736704821708903,"score_spread":0.254591162133493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043743005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984194,0.00012967696,0.000056495104,0.000099525256,0.0000032201804,0.0000050042268,0.000035680354,0.0000031866855,0.0012478092],"genre_scores_gemma":[0.99939406,0.00004199233,0.000032354692,0.000012633057,0.000011947776,0.0000015577822,0.00007349809,0.0000010990345,0.00043089243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99634993,0.0013076621,0.0003522485,0.0002432374,0.0012480892,0.00049884233],"domain_scores_gemma":[0.95406145,0.008804808,0.028650789,0.0014550611,0.00407974,0.0029481712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042424193,0.0002393028,0.0002702768,0.001197226,0.00041556312,0.0019106771,0.00026017998,0.00041919152,0.0020964802],"category_scores_gemma":[0.012137835,0.00009740087,0.0002594084,0.0012808321,0.000584045,0.00070731126,0.0009794818,0.000641138,0.00028300862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001575344,0.00020938835,0.987763,0.00001528539,0.00005098707,0.000079177546,0.00021445977,0.000469077,0.00029659845,0.00014992667,0.0001703873,0.0104241725],"study_design_scores_gemma":[0.000002954652,0.00009280438,0.9990491,0.000006197042,0.000010733732,0.000028799317,0.00019217598,0.00033183696,0.00009738485,0.00004517846,0.00013942567,0.000003233651],"about_ca_topic_score_codex":0.004039282,"about_ca_topic_score_gemma":0.0057825046,"teacher_disagreement_score":0.0042424193,"about_ca_system_score_codex":0.0010595728,"about_ca_system_score_gemma":0.00084096193,"threshold_uncertainty_score":0.02243632},"labels":[],"label_agreement":null},{"id":"W3043744179","doi":"10.5430/ijfr.v11n4p515","title":"The Role of Quality of Work Life in Organizational Commitment in Islamic Banks","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Islam; Organizational commitment; Sample (material); Data collection; Quality (philosophy); Work (physics); Psychology; Positive relationship; Social psychology; Applied psychology; Business; Statistics; Mathematics; Engineering","score_opus":0.049506422111644695,"score_gpt":0.3379632913452268,"score_spread":0.2884568692335821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043744179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972561,0.0003389362,0.000107718486,0.00050190673,0.00001424837,0.000008899666,0.00002040327,0.0000013952747,0.0017502462],"genre_scores_gemma":[0.99974555,0.00006078793,0.000041680276,0.000028931057,0.000006929139,0.0000028036277,0.000009482904,5.803661e-7,0.00010329602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826103,0.00091121375,0.00012484558,0.00008761829,0.00031875842,0.00029655758],"domain_scores_gemma":[0.9872143,0.004803421,0.003648915,0.00034390582,0.0007833873,0.0032059536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022708024,0.00015799118,0.00022594632,0.0009594177,0.0008653603,0.0016924854,0.00043206394,0.0005169843,0.002468684],"category_scores_gemma":[0.008890776,0.00016424387,0.0003754105,0.000708038,0.0011212897,0.00050735864,0.0012360276,0.0011759469,0.00017811243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017849683,0.0005405328,0.9750786,0.000056116995,0.00007271698,0.00019801562,0.0040567988,0.00020266135,0.00031247115,0.00080737565,0.00024295138,0.018253323],"study_design_scores_gemma":[0.000004824966,0.000119181765,0.9946603,0.000028490425,0.000013437865,0.00007369268,0.0043937047,0.00021657068,0.000038702176,0.00019291425,0.0002505827,0.000007720758],"about_ca_topic_score_codex":0.002457238,"about_ca_topic_score_gemma":0.0039376733,"teacher_disagreement_score":0.002468684,"about_ca_system_score_codex":0.0007534813,"about_ca_system_score_gemma":0.0011007977,"threshold_uncertainty_score":0.012009323},"labels":[],"label_agreement":null},{"id":"W3048294507","doi":"","title":"The Determinants of the Corporate Demand for Directors' and Officers' Liability Insurance：Evidence from Taiwan’s Electronics Industry","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Electronics; Insurance industry; Liability; Actuarial science; Accounting; Engineering","score_opus":0.08720845060269407,"score_gpt":0.3317214736883551,"score_spread":0.24451302308566103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048294507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99915195,0.000056655186,0.000024058094,0.00013277876,9.249689e-7,0.000002088684,0.0000936741,0.0000010746684,0.0005368568],"genre_scores_gemma":[0.99933124,0.000031204116,0.000010029471,0.000014468259,0.0000028944162,0.0000011576058,0.00018686705,3.8707918e-7,0.00042179346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969995,0.000058021848,0.00003191724,0.000051443203,0.000060869617,0.000097739976],"domain_scores_gemma":[0.99279636,0.0030419235,0.0025854537,0.00023188535,0.00051508663,0.00082925084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006695336,0.00018416224,0.00019667258,0.0008170039,0.00037265546,0.0011010587,0.00041265646,0.0006480026,0.004390464],"category_scores_gemma":[0.0028439278,0.0002481092,0.0003954355,0.0008294773,0.00040282359,0.0005378682,0.00053426414,0.0005897029,0.00048485232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010296457,0.00008459996,0.9952583,0.0000118798625,0.000036618596,0.00020929346,0.00046829,0.00033535514,0.0006326025,0.00023833709,0.00023560239,0.0023862445],"study_design_scores_gemma":[0.0000107276155,0.000049084985,0.9966409,0.0000059008385,0.0000232922,0.000038286315,0.0016057508,0.0009572853,0.00017049968,0.00011395972,0.00037879028,0.0000055912365],"about_ca_topic_score_codex":0.03256769,"about_ca_topic_score_gemma":0.047862038,"teacher_disagreement_score":0.03256769,"about_ca_system_score_codex":0.00072082155,"about_ca_system_score_gemma":0.0004421289,"threshold_uncertainty_score":0.064756215},"labels":[],"label_agreement":null},{"id":"W3087998654","doi":"10.5430/ijfr.v11n5p161","title":"Corporate Governance and the Earnings Quality of Nigerian Firms","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Accounting; Gender diversity; Business; Shareholder; Earnings quality; Earnings; Panel data; Diversity (politics); Earnings per share; Economics; Finance; Political science; Econometrics","score_opus":0.06782838155458212,"score_gpt":0.3269265546589941,"score_spread":0.25909817310441197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087998654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980539,0.00025459472,0.000047134152,0.00014976288,0.0000029611454,0.0000040499117,0.00006466857,8.1715916e-7,0.0014220156],"genre_scores_gemma":[0.9996232,0.00009752067,0.000024490413,0.000006906152,0.000002992448,6.811787e-7,0.00004366996,2.7196666e-7,0.00020034038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999564,0.000097492484,0.00006266461,0.000042112333,0.00013554997,0.00009812687],"domain_scores_gemma":[0.9934041,0.0009457225,0.0044908663,0.00014953745,0.000642865,0.00036690544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087136234,0.00009609481,0.00013649228,0.0009281708,0.0004146925,0.0012556028,0.00012302837,0.00017146982,0.0012503512],"category_scores_gemma":[0.003591619,0.00007230314,0.00011028732,0.0012898643,0.00036572438,0.0004834141,0.0004810998,0.0003222736,0.0000981754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151808545,0.000027684211,0.99539465,0.000008958942,0.000010016589,0.000070577706,0.0003944765,0.0000974685,0.00007190469,0.00025919543,0.00009459791,0.0035553845],"study_design_scores_gemma":[8.053668e-7,0.000016810734,0.9984022,0.000017693264,0.00000428604,0.000039392908,0.00088507816,0.00014940409,0.000052397176,0.00008693389,0.0003432356,0.0000018903258],"about_ca_topic_score_codex":0.012106104,"about_ca_topic_score_gemma":0.023135036,"teacher_disagreement_score":0.012106104,"about_ca_system_score_codex":0.00070670457,"about_ca_system_score_gemma":0.00040132605,"threshold_uncertainty_score":0.024071276},"labels":[],"label_agreement":null},{"id":"W3088015692","doi":"10.5430/ijfr.v11n5p150","title":"Analysis of Audit Opinion of Financial Statements From State Institutions: Indonesia Empirical Study, Period 2012-2017","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disclaimer; Accounting; Quality (philosophy); Audit; Business; State (computer science); Auditor's report; Financial institution; Presentation (obstetrics); Government (linguistics); Finance; Actuarial science; Political science; Medicine; Computer science; Law","score_opus":0.1760602317342005,"score_gpt":0.42878172808009246,"score_spread":0.25272149634589197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088015692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962121,0.00011002218,0.00008061816,0.000116653726,0.000009714706,0.000024582087,0.00069166615,0.0000026026519,0.0027519637],"genre_scores_gemma":[0.9979241,0.00016676767,0.00008722303,0.000029724688,0.000016294869,0.000022627373,0.00069164095,0.0000020274429,0.0010595684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997687,0.00039421665,0.00041711977,0.00014720688,0.0009548044,0.0003996824],"domain_scores_gemma":[0.98408973,0.0024739406,0.008826939,0.00030283374,0.0034867167,0.0008197814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024420507,0.00016457574,0.00023423004,0.0025029215,0.00044704392,0.0013923959,0.00028745996,0.00031960098,0.0015322004],"category_scores_gemma":[0.0077283164,0.00014524121,0.00031814782,0.0032209696,0.00046593026,0.00077915407,0.0006359378,0.00059319823,0.00054008054],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009362189,0.000107002794,0.9834818,0.00009404668,0.000019940171,0.00023553605,0.0045518945,0.00010473721,0.0003229778,0.00012891143,0.0008709089,0.0099887885],"study_design_scores_gemma":[0.0000010061335,0.00005150313,0.9907307,0.0000356532,0.000012351866,0.000097675846,0.007524821,0.00024525583,0.00023766934,0.000020516774,0.0010353321,0.000007643804],"about_ca_topic_score_codex":0.010108864,"about_ca_topic_score_gemma":0.012436522,"teacher_disagreement_score":0.010108864,"about_ca_system_score_codex":0.0014319747,"about_ca_system_score_gemma":0.0011566377,"threshold_uncertainty_score":0.020100057},"labels":[],"label_agreement":null},{"id":"W3088038390","doi":"10.5430/ijfr.v11n5p172","title":"Impact of Income Tax Performance on the Application of Accounting Billing Systems in Jordan: Applied to Income Tax Directorates in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zarqa University","keywords":"State income tax; Income tax; Business; Value-added tax; Revenue; Accounting; Tax revenue; Gross income; Indirect tax; Economics; Public economics; Tax reform","score_opus":0.03867719299619768,"score_gpt":0.3257903323274215,"score_spread":0.28711313933122384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088038390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398285,0.0000858387,0.00004555691,0.00034666332,0.0000065312015,0.000012673448,0.000050501734,0.0000046394894,0.0054647108],"genre_scores_gemma":[0.99814713,0.00012549835,0.00008350311,0.00004710894,0.0000092029795,0.0000044877456,0.00007321664,0.0000022501163,0.001507724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713624,0.0009223861,0.00016594821,0.0001504521,0.0010589554,0.00056597026],"domain_scores_gemma":[0.98509985,0.0024438833,0.0048908703,0.00033846483,0.005354528,0.001872432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027449566,0.00021907935,0.00023341454,0.0011423744,0.001032384,0.0029808357,0.00038642038,0.00033496096,0.0035247246],"category_scores_gemma":[0.009498885,0.000122032085,0.00026945834,0.0019392172,0.0008438022,0.0010680513,0.0011519936,0.0009445498,0.0006460552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012244523,0.0004906151,0.96345323,0.000059922426,0.000060868733,0.0004193539,0.004059985,0.0012787944,0.00055222603,0.0011997344,0.0015509949,0.026751887],"study_design_scores_gemma":[0.000005978116,0.00021674483,0.9750767,0.000039051276,0.000020269295,0.00010235919,0.018433407,0.0010428954,0.00059098675,0.0002016192,0.00425119,0.000018869938],"about_ca_topic_score_codex":0.017290013,"about_ca_topic_score_gemma":0.022891724,"teacher_disagreement_score":0.017290013,"about_ca_system_score_codex":0.0036320726,"about_ca_system_score_gemma":0.0041019097,"threshold_uncertainty_score":0.034378767},"labels":[],"label_agreement":null},{"id":"W3088172100","doi":"10.5430/ijfr.v11n5p1","title":"Information Spillover and Demand Shock Effect of the IPOs on the Stock Price of the Competitors: Evidence From the Korean Stock Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Seowon University","keywords":"Initial public offering; Competitor analysis; Business; Stock (firearms); Monetary economics; Profitability index; Stock market; Public offering; Market maker; Spillover effect; Restricted stock; Stock price; Economics; Finance; Microeconomics; Marketing","score_opus":0.039741090939449795,"score_gpt":0.29056542722442447,"score_spread":0.2508243362849747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088172100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978529,0.00023294441,0.00007278486,0.00014029208,0.0000039192746,0.000009982663,0.00015699444,0.0000024423146,0.0015276744],"genre_scores_gemma":[0.99924254,0.00030026695,0.000028071187,0.00003185697,0.000015255011,0.0000024877318,0.00019076905,7.549549e-7,0.00018805359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996779,0.000062608844,0.000028796014,0.000061094506,0.00009930358,0.00007026036],"domain_scores_gemma":[0.9950605,0.0017839241,0.0020838818,0.00021021315,0.000466256,0.00039516191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006682401,0.00027282853,0.00034849276,0.0010124177,0.00027767732,0.0008896374,0.00026085362,0.00052702083,0.0034925397],"category_scores_gemma":[0.0026095293,0.00019939746,0.00054343604,0.0007256285,0.00042403143,0.0011360683,0.0006379337,0.00073800754,0.0003290134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010976965,0.0007578437,0.97326016,0.0001522508,0.0004246985,0.0012075993,0.00070063956,0.0013957256,0.0037930657,0.0013238392,0.0006688285,0.015217707],"study_design_scores_gemma":[0.00003911023,0.00019805654,0.99613523,0.000011046802,0.0001682337,0.000078174715,0.0005306752,0.0017196535,0.0005621482,0.00023881638,0.00030582506,0.000013100724],"about_ca_topic_score_codex":0.0098281205,"about_ca_topic_score_gemma":0.0065116934,"teacher_disagreement_score":0.0098281205,"about_ca_system_score_codex":0.00040748474,"about_ca_system_score_gemma":0.0003736075,"threshold_uncertainty_score":0.0195418},"labels":[],"label_agreement":null},{"id":"W3088329331","doi":"10.5430/ijfr.v11n5p115","title":"Risk Management and the Financial Performance of Banks in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Liquidity risk; Market liquidity; Business; Credit risk; Financial risk management; Leverage (statistics); Profitability index; Finance; Capital adequacy ratio; Risk management; Financial system; Economics; Incentive","score_opus":0.025604246177114622,"score_gpt":0.2925039386454919,"score_spread":0.2668996924683773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088329331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986613,0.00032231977,0.000026937645,0.00018890266,0.00000270708,0.0000030924023,0.000019194214,6.5217864e-7,0.0007747576],"genre_scores_gemma":[0.99965894,0.00017017064,0.000027380045,0.000013203369,0.0000023153711,0.0000011366194,0.000009879317,1.5841911e-7,0.000116770236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954104,0.00015696457,0.00007581817,0.00003541563,0.00009677475,0.000094076444],"domain_scores_gemma":[0.9971366,0.00054472155,0.0016921397,0.000042119664,0.00028811742,0.00029635406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072667625,0.00015405915,0.00014544674,0.00058621174,0.0005828114,0.0013893613,0.000119565615,0.00047819174,0.0009223252],"category_scores_gemma":[0.003094968,0.00013702275,0.00011788728,0.0006315825,0.00039081002,0.00060309167,0.0005231769,0.00037870396,0.00013254683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007141533,0.00009218856,0.990812,0.000019384386,0.000014079206,0.00019868623,0.0016238345,0.00027369952,0.00025456335,0.00039553104,0.00015305959,0.006091465],"study_design_scores_gemma":[0.0000034532409,0.00009257924,0.99401975,0.00007013057,0.000011551538,0.0003672158,0.0034869171,0.00065945945,0.00014713427,0.00044915781,0.0006821812,0.000010573873],"about_ca_topic_score_codex":0.0048260996,"about_ca_topic_score_gemma":0.006328295,"teacher_disagreement_score":0.0048260996,"about_ca_system_score_codex":0.0006846916,"about_ca_system_score_gemma":0.00067678327,"threshold_uncertainty_score":0.00959599},"labels":[],"label_agreement":null},{"id":"W3088490719","doi":"10.5430/ijfr.v11n5p180","title":"Analysis of Fraudulent Financial Reporting With the Role of KAP Big Four as a Moderation Variable: Crowe's Fraud's Pentagon Theory","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nonprobability sampling; Accounting; Moderation; Business; Audit; Pentagon; Stock exchange; Logistic regression; Finance; Statistics; Law; Mathematics; Political science","score_opus":0.055782466229722404,"score_gpt":0.3035533363678688,"score_spread":0.2477708701381464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088490719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921152,0.00028620486,0.0034594382,0.0010010316,0.000044626104,0.00013023108,0.00013013896,0.000012314103,0.0028208427],"genre_scores_gemma":[0.99802506,0.00005211505,0.0013565955,0.000099785255,0.000014281459,0.000100480356,0.000049518265,0.000003849371,0.00029830975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9757176,0.017210893,0.0011122376,0.0016663315,0.0027814072,0.0015116034],"domain_scores_gemma":[0.8665251,0.09325061,0.023007128,0.00697808,0.006097666,0.00414138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01782074,0.00062186323,0.0009292796,0.0026556903,0.0015380058,0.0021818266,0.00095727114,0.0008898015,0.004230342],"category_scores_gemma":[0.07179716,0.00037943773,0.0013839746,0.0016199057,0.0016588751,0.0020758554,0.0038508705,0.0019235223,0.00027721413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026831357,0.00027298165,0.9806323,0.00006884366,0.00045862742,0.00016682546,0.002937719,0.00024829534,0.00015521735,0.0023591858,0.0002978839,0.012133919],"study_design_scores_gemma":[0.00006225022,0.00081514945,0.96847713,0.0002601136,0.0008834594,0.00030126062,0.008936376,0.010456929,0.0008393344,0.0065059173,0.002414828,0.00004734153],"about_ca_topic_score_codex":0.0027551241,"about_ca_topic_score_gemma":0.0017670535,"teacher_disagreement_score":0.01782074,"about_ca_system_score_codex":0.0011752117,"about_ca_system_score_gemma":0.0022460225,"threshold_uncertainty_score":0.09424621},"labels":[],"label_agreement":null},{"id":"W3088510953","doi":"10.5430/ijfr.v11n5p42","title":"Are Trade Policies Performance Enhancing? The Special Case of the GCC Countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kuwait University","keywords":"Profitability index; Subsidy; Business; Trade finance; Proxy (statistics); Order (exchange); Sample (material); Econometric model; Trade credit; Emerging markets; International economics; Economics; International trade; Accounting; Finance; Macroeconomics","score_opus":0.04931967254451316,"score_gpt":0.3072114341988717,"score_spread":0.25789176165435856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088510953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843015,0.0018664768,0.00018703924,0.0014778516,0.000039988845,0.000011559405,0.00028941786,0.000008178776,0.011817954],"genre_scores_gemma":[0.9984169,0.0006890478,0.000091965376,0.00010805851,0.000031075237,0.000004050967,0.00014608483,0.0000021643557,0.00051073753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938524,0.00017296271,0.00004250681,0.0000912628,0.00007115448,0.0002368672],"domain_scores_gemma":[0.99636674,0.0009774349,0.0018834055,0.00020364294,0.00025297023,0.00031571952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089821656,0.00036162126,0.0003259022,0.0014052571,0.0009729142,0.0029785805,0.00019500809,0.0004875403,0.0039390707],"category_scores_gemma":[0.0034007162,0.00007089516,0.00031170872,0.0024180065,0.0009794612,0.00089831976,0.00094022555,0.000581938,0.00023541848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002711115,0.00007447785,0.9419609,0.00018755595,0.00024934814,0.003257865,0.0026529157,0.0020178615,0.0005897913,0.012029113,0.0022273608,0.034481823],"study_design_scores_gemma":[0.000017513383,0.00011846052,0.96447444,0.0003427633,0.00023341313,0.0011549141,0.015822928,0.0014603104,0.00083087274,0.004126943,0.011394382,0.000023125382],"about_ca_topic_score_codex":0.02177496,"about_ca_topic_score_gemma":0.01723482,"teacher_disagreement_score":0.02177496,"about_ca_system_score_codex":0.00091983017,"about_ca_system_score_gemma":0.0009698375,"threshold_uncertainty_score":0.043296397},"labels":[],"label_agreement":null},{"id":"W3088566798","doi":"10.5430/ijfr.v11n5p13","title":"Subjective/ Behavioural Factors Influence the PSI 20 and IBEX 35","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Volatility (finance); Economics; Market sentiment; Econometrics; Financial economics; Conditional variance; Portfolio; Monetary economics; Autoregressive conditional heteroskedasticity","score_opus":0.11311970591614184,"score_gpt":0.3397950319581191,"score_spread":0.22667532604197727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088566798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870613,0.00031106436,0.00050550804,0.00012403518,0.000030202242,0.000017400745,0.00147299,0.000022125656,0.010455305],"genre_scores_gemma":[0.99659026,0.00014331365,0.00016822021,0.00001686006,0.000025664991,0.000007357043,0.0018626755,0.0000057527873,0.0011798597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958247,0.000047205485,0.00005412048,0.00006271903,0.00018403445,0.00006951507],"domain_scores_gemma":[0.9971922,0.0005972167,0.0015026402,0.00012370103,0.00035563982,0.00022859151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008821851,0.00019593253,0.00027457584,0.0010532235,0.00015358714,0.0017028198,0.00016983273,0.00033703266,0.0020287577],"category_scores_gemma":[0.0042333235,0.00007838944,0.00026539547,0.0008997135,0.00019983828,0.00044001825,0.00053853844,0.00042080763,0.00044491104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028293044,0.0000632339,0.97417307,0.000060633196,0.00012495488,0.00024397015,0.00044882222,0.0015321054,0.0014457752,0.0020953843,0.001623932,0.01790513],"study_design_scores_gemma":[0.0000022032796,0.00004949587,0.99538887,0.000017638351,0.000012158658,0.00007588683,0.00027630894,0.0011863465,0.00029765943,0.00023157212,0.0024538434,0.000007802109],"about_ca_topic_score_codex":0.0036673239,"about_ca_topic_score_gemma":0.0028600541,"teacher_disagreement_score":0.0036673239,"about_ca_system_score_codex":0.0005263765,"about_ca_system_score_gemma":0.00020422747,"threshold_uncertainty_score":0.0072919726},"labels":[],"label_agreement":null},{"id":"W3088637288","doi":"10.5430/ijfr.v11n5p191","title":"Capital Asset Pricing Model (CAPM) and the Douala Stock Exchange","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital asset pricing model; Stock exchange; Market portfolio; Financial economics; Portfolio; Economics; Market liquidity; Portfolio insurance; Stock market; Business; Econometrics; Replicating portfolio; Monetary economics; Finance; Portfolio optimization; Context (archaeology)","score_opus":0.1433949802318745,"score_gpt":0.33129875346328297,"score_spread":0.18790377323140847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088637288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71103895,0.010196454,0.20782684,0.006557422,0.00074743875,0.00022919451,0.0015976884,0.00053106126,0.06127498],"genre_scores_gemma":[0.9848223,0.0014626918,0.009331447,0.00013333972,0.00012977529,0.00008877005,0.00035805293,0.000017359285,0.003656351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99934334,0.00035914083,0.000019293757,0.000101906895,0.00010386243,0.000072423965],"domain_scores_gemma":[0.99805474,0.0013722858,0.00026391406,0.00007841525,0.00016653202,0.000064170454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017750916,0.0007568745,0.00054199866,0.0009941147,0.0003587274,0.0021773588,0.00072145514,0.00081969734,0.0017809853],"category_scores_gemma":[0.008470492,0.00019085701,0.0004232482,0.0011442297,0.0003811242,0.001310564,0.00056743546,0.00088746333,0.00037957085],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003845663,0.0002944892,0.11325279,0.00024201968,0.00033673426,0.0012531384,0.0003876,0.50075155,0.00064817973,0.24202928,0.012798734,0.12762095],"study_design_scores_gemma":[0.000029297073,0.00009302301,0.017198587,0.000060132093,0.00007394724,0.00031000248,0.00008654654,0.9246052,0.000181081,0.051315084,0.006019323,0.000027831713],"about_ca_topic_score_codex":0.008958493,"about_ca_topic_score_gemma":0.0036997665,"teacher_disagreement_score":0.008958493,"about_ca_system_score_codex":0.00093722576,"about_ca_system_score_gemma":0.0009306374,"threshold_uncertainty_score":0.01781267},"labels":[],"label_agreement":null},{"id":"W3088664388","doi":"10.5430/ijfr.v11n5p93","title":"Cognitive Moral Development, Organizational Situation and Ethical Decision Making in Business and Accounting","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expropriation; Moral agency; Ethical decision; Stewardship (theology); Accounting; Agency (philosophy); Psychology; Moral development; Social cognitive theory of morality; Cognition; Business ethics; Social psychology; Business; Public relations; Sociology; Political science; Law; Social science","score_opus":0.3714278664455328,"score_gpt":0.5313455924341024,"score_spread":0.15991772598856963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088664388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977958,0.00004351354,0.00017429917,0.00007042524,0.0000036694719,0.000013392016,0.0000032943792,0.0000010856397,0.0018944723],"genre_scores_gemma":[0.9993643,0.00003757299,0.00032177614,0.000023929675,0.000002612785,0.000012591475,0.000005401867,7.6742367e-7,0.00023109459],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99546057,0.003232647,0.000110620575,0.00025227538,0.00058639736,0.00035757627],"domain_scores_gemma":[0.98448074,0.008414179,0.0038994546,0.0005308426,0.0005999102,0.0020747366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003405359,0.00028869946,0.00023452593,0.0005323092,0.0007615943,0.0022091854,0.00023383956,0.00047212545,0.0021619392],"category_scores_gemma":[0.013262838,0.00016147496,0.00026873202,0.00031106154,0.0018994705,0.0007882513,0.0011461747,0.00128034,0.00010995853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032291594,0.017872969,0.7468451,0.00047692462,0.0003437958,0.0012433328,0.06587968,0.003066727,0.02044981,0.019866815,0.0008057007,0.11991994],"study_design_scores_gemma":[0.00011982132,0.0024093601,0.95904344,0.000081860635,0.00007890815,0.00032381545,0.021082956,0.0023139485,0.003418288,0.008568578,0.0024817884,0.00007717411],"about_ca_topic_score_codex":0.00073614577,"about_ca_topic_score_gemma":0.0011936271,"teacher_disagreement_score":0.003405359,"about_ca_system_score_codex":0.0009026311,"about_ca_system_score_gemma":0.0011811688,"threshold_uncertainty_score":0.018009484},"labels":[],"label_agreement":null},{"id":"W3088739520","doi":"10.5430/ijfr.v11n5p137","title":"Weak Form of Efficiency Hypotheses: Empirical Modeling With Box –Pierce, ADF and ARCH Tests","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Arch; Heteroscedasticity; Econometrics; Unit root; Sample (material); Efficient-market hypothesis; Market efficiency; Stock (firearms); Economics; Stock market; Statistics; Financial economics; Mathematics; Engineering; Structural engineering; Geography","score_opus":0.2940270309343072,"score_gpt":0.371037781181126,"score_spread":0.0770107502468188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088739520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6498335,0.001221575,0.3371754,0.0023325365,0.00015329401,0.0006349135,0.0011369658,0.00036955075,0.007142328],"genre_scores_gemma":[0.9736578,0.00035239288,0.021330172,0.00012593302,0.00013034807,0.0004649508,0.0005805243,0.000048489732,0.003309309],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9911293,0.004418193,0.0006010891,0.0016716341,0.0011190621,0.0010608564],"domain_scores_gemma":[0.911871,0.07456272,0.007734303,0.0031019533,0.0021419334,0.0005881944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021447562,0.0009577295,0.0022190404,0.003047783,0.0009804197,0.003719623,0.0027519763,0.002964407,0.008059258],"category_scores_gemma":[0.06288125,0.00053384627,0.0026722879,0.0025648703,0.0031566266,0.004121654,0.0018487728,0.003460954,0.0009753602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011384976,0.0011585081,0.3185721,0.0008844303,0.001797123,0.0033928878,0.004220906,0.16741157,0.0016919125,0.3854915,0.009572578,0.10466799],"study_design_scores_gemma":[0.00018537522,0.0009095994,0.062683664,0.00020216675,0.00050473795,0.00051060313,0.0018050813,0.78329873,0.0018000272,0.14349076,0.0044721276,0.00013705376],"about_ca_topic_score_codex":0.0034791464,"about_ca_topic_score_gemma":0.0011331582,"teacher_disagreement_score":0.021447562,"about_ca_system_score_codex":0.001162432,"about_ca_system_score_gemma":0.001364783,"threshold_uncertainty_score":0.113426864},"labels":[],"label_agreement":null},{"id":"W3088830693","doi":"10.5430/ijfr.v11n5p56","title":"The Volume of Issuance of Government Islamic Securities SR-007 Series, 2015–2018","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Mercu Buana","keywords":"Sukuk; Inflation (cosmology); Economics; Financial system; Bond; Maturity (psychological); Capital market; Monetary economics; Business; Finance; Islam; Islamic finance","score_opus":0.033327208952207525,"score_gpt":0.30790630230985305,"score_spread":0.2745790933576455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088830693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95159966,0.0013837711,0.0006347734,0.000257697,0.00015035261,0.00005028853,0.033059545,0.00023577301,0.0126281725],"genre_scores_gemma":[0.9435108,0.001411514,0.0005905819,0.00004744912,0.00020122716,0.000053408494,0.045552295,0.00004075161,0.008591967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894434,0.000062718405,0.00022860193,0.00013176106,0.00054030435,0.00009226942],"domain_scores_gemma":[0.9944998,0.0006751429,0.003535631,0.00021932129,0.000893374,0.00017663527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006764553,0.00036022466,0.00028364878,0.0028562895,0.00024977562,0.0014104828,0.00047210953,0.000314632,0.0036224322],"category_scores_gemma":[0.004432559,0.00014901144,0.00035355554,0.0037278805,0.00032749627,0.0010887515,0.00059718825,0.00068050897,0.0019687833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003043663,0.00009756673,0.9340388,0.0003513999,0.0001438815,0.0005445101,0.0008299039,0.0010211327,0.0013476342,0.0023684741,0.017804196,0.041148115],"study_design_scores_gemma":[0.000009130107,0.00009762772,0.96237254,0.000075869866,0.00005562957,0.00036100962,0.0008223306,0.0015618827,0.0020081936,0.0003123539,0.03229599,0.000027433076],"about_ca_topic_score_codex":0.006937088,"about_ca_topic_score_gemma":0.006851736,"teacher_disagreement_score":0.006937088,"about_ca_system_score_codex":0.0009435571,"about_ca_system_score_gemma":0.00055135606,"threshold_uncertainty_score":0.013793409},"labels":[],"label_agreement":null},{"id":"W3088925619","doi":"10.5430/ijfr.v11n5p129","title":"Coronavirus Effects on the Economy of Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coronavirus; Coronavirus disease 2019 (COVID-19); Economics; Empirical research; Development economics; Econometrics; Demographic economics; Statistics; Medicine; Mathematics; Internal medicine","score_opus":0.2339397574406595,"score_gpt":0.4048077165210626,"score_spread":0.17086795908040311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088925619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864369,0.0020153932,0.0001588018,0.0015783876,0.00002581011,0.000008423896,0.0008947271,0.000010848843,0.008870792],"genre_scores_gemma":[0.9940224,0.0022260488,0.0001216483,0.0001362755,0.00004985052,0.000006380635,0.00089497154,0.000004653735,0.0025377367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976236,0.000066870074,0.000016753398,0.000029732735,0.000060229493,0.00006402494],"domain_scores_gemma":[0.99906844,0.00019952926,0.00031624065,0.000023102517,0.00029476956,0.00009801819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067154114,0.00017112502,0.0002149074,0.0008927963,0.0003070933,0.0016943831,0.00015013946,0.00024225247,0.00211407],"category_scores_gemma":[0.002049091,0.000094827956,0.00030294017,0.0013236798,0.00029788716,0.0008101225,0.0007875091,0.00045457538,0.00029340305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004617669,0.00021396107,0.91498905,0.00035792938,0.00025329346,0.0019265589,0.0017751221,0.016107045,0.0015957438,0.019377107,0.0099726,0.032969814],"study_design_scores_gemma":[0.000051572315,0.00021445555,0.92928064,0.00017811556,0.0001137762,0.00029014063,0.007923638,0.014714478,0.002369054,0.006012192,0.038810477,0.0000413877],"about_ca_topic_score_codex":0.015550698,"about_ca_topic_score_gemma":0.012161757,"teacher_disagreement_score":0.015550698,"about_ca_system_score_codex":0.0013677145,"about_ca_system_score_gemma":0.0014601739,"threshold_uncertainty_score":0.030920386},"labels":[],"label_agreement":null},{"id":"W3089053798","doi":"10.5430/ijfr.v11n5p69","title":"Determinants of ICO Investment Decision: An Exploratory Factor Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Promotion (chess); Principal (computer security); Marketing; Finance; Computer science","score_opus":0.09328834553217649,"score_gpt":0.4002400028280167,"score_spread":0.3069516572958402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089053798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973738,0.000021437198,0.001261514,0.0001229081,0.000007925164,0.00016937945,0.00021043236,0.000008555704,0.0008239224],"genre_scores_gemma":[0.997719,0.000028241104,0.0012966178,0.000021156895,0.000008580134,0.00018430693,0.00023891794,0.0000043064815,0.00049899955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946156,0.0026785915,0.0003434886,0.00045803253,0.0010630991,0.00084118237],"domain_scores_gemma":[0.9655417,0.026654808,0.0027684646,0.0011615851,0.0022350743,0.0016384389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009226132,0.0008080798,0.0009079527,0.0020125082,0.0010340445,0.0021244222,0.00066641386,0.00093160005,0.0061322334],"category_scores_gemma":[0.020530501,0.0003691634,0.0016733101,0.0022092853,0.0011394828,0.0011785665,0.0012377794,0.0015164628,0.0006149916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042776976,0.0013501984,0.96445537,0.00008732018,0.00028433363,0.0003726101,0.008223662,0.0017076939,0.0011386902,0.0015872649,0.0008426079,0.019522548],"study_design_scores_gemma":[0.0000668006,0.0013677052,0.9487946,0.000092882154,0.00019525655,0.0002123099,0.01917283,0.02587694,0.00076765876,0.0014868183,0.0018892491,0.00007707805],"about_ca_topic_score_codex":0.0051117744,"about_ca_topic_score_gemma":0.0043383,"teacher_disagreement_score":0.009226132,"about_ca_system_score_codex":0.0008907197,"about_ca_system_score_gemma":0.0026759007,"threshold_uncertainty_score":0.048793018},"labels":[],"label_agreement":null},{"id":"W3089075652","doi":"10.5430/ijfr.v11n5p28","title":"Risk Governance and Performance: Evidence From Eurozone’s Large Banks","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remuneration; Profitability index; Corporate governance; Business; Financial system; Officer; Accounting; Monetary economics; Economics; Actuarial science; Finance; Political science","score_opus":0.07514390752878933,"score_gpt":0.32495856348003765,"score_spread":0.24981465595124833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089075652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954868,0.0013142686,0.00054161384,0.0005464457,0.0000130547305,0.000007841579,0.00059669645,0.000018552937,0.0014747822],"genre_scores_gemma":[0.9980083,0.00046201522,0.000099471756,0.00005263694,0.000034577442,0.00000543804,0.00080517854,0.000004192849,0.0005281165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990606,0.00038937526,0.00007363238,0.00020538329,0.00015279771,0.00011826067],"domain_scores_gemma":[0.9871711,0.004778682,0.006256406,0.0004910005,0.000695708,0.000607029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019031025,0.00044241772,0.0004885333,0.0013189191,0.00034610395,0.002318308,0.0004212011,0.00084915705,0.002144855],"category_scores_gemma":[0.0071648913,0.00021034127,0.00038369832,0.0028355913,0.0008764635,0.0012291484,0.0012243936,0.00078296446,0.00047409153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003510141,0.00029403326,0.9764459,0.00008318557,0.00029086164,0.00026966908,0.0007331449,0.009189372,0.0002408834,0.00143817,0.0023576752,0.00830604],"study_design_scores_gemma":[0.000034280692,0.00019326992,0.98435783,0.00007651402,0.00014604592,0.000114026,0.0019026095,0.009385875,0.00029692528,0.0010011074,0.0024680789,0.00002335104],"about_ca_topic_score_codex":0.018002167,"about_ca_topic_score_gemma":0.013906151,"teacher_disagreement_score":0.018002167,"about_ca_system_score_codex":0.0008063887,"about_ca_system_score_gemma":0.00047476855,"threshold_uncertainty_score":0.035794735},"labels":[],"label_agreement":null},{"id":"W3089159779","doi":"10.5430/ijfr.v11n5p105","title":"The Implementation of Balanced Scorecard in Jordanian Islamic Banks","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zarqa University","keywords":"Balanced scorecard; Islam; Business; Accounting; Islamic banking; Strategic management; Strengths and weaknesses; Business administration; Process management; Marketing; Psychology","score_opus":0.04082616512604717,"score_gpt":0.35680747575744587,"score_spread":0.31598131063139867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089159779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619186,0.000060990653,0.00018513098,0.0002885874,0.0000064627848,0.000028495731,0.000015474609,0.000003276948,0.0032198352],"genre_scores_gemma":[0.99909437,0.00006540408,0.00031359034,0.000057759804,0.0000042116058,0.000011625,0.000019738882,8.717113e-7,0.00043246942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99367225,0.0033190958,0.00046162272,0.00024201295,0.0017630736,0.0005418882],"domain_scores_gemma":[0.9880167,0.0021940798,0.0032181607,0.00040105864,0.005012708,0.0011572005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007947745,0.00017915519,0.00021073612,0.0011888994,0.00071077194,0.0019693598,0.000274973,0.0003759002,0.0011883208],"category_scores_gemma":[0.013505225,0.00016003624,0.00012210809,0.0015000398,0.00092336314,0.001008615,0.0008567317,0.0004567021,0.0002717276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044801316,0.0007670155,0.7991568,0.00013467089,0.00004926561,0.00035557742,0.026307276,0.0007511335,0.0029246183,0.0030399375,0.002802886,0.16326284],"study_design_scores_gemma":[0.000034055083,0.00089350087,0.9477717,0.00014117958,0.000023487644,0.00019374295,0.037643183,0.0021657643,0.0014301175,0.0008299254,0.008826826,0.00004648847],"about_ca_topic_score_codex":0.0036382435,"about_ca_topic_score_gemma":0.0044990354,"teacher_disagreement_score":0.007947745,"about_ca_system_score_codex":0.0015840438,"about_ca_system_score_gemma":0.003256855,"threshold_uncertainty_score":0.042032182},"labels":[],"label_agreement":null},{"id":"W3089269500","doi":"10.5430/ijfr.v11n5p79","title":"Strikes in Foreign Direct Investment Enterprises in the Southern Key Economic Region of Vietnam","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Business; Christian ministry; Labor disputes; Scale (ratio); Market economy; Investment (military); Happening; State (computer science); Labor relations; Labour economics; Economics; Politics; Political science","score_opus":0.0656019555395689,"score_gpt":0.314269437206191,"score_spread":0.2486674816666221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089269500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987717,0.00012111881,0.000008465416,0.00012668896,0.0000048082193,0.0000061732635,0.000042201445,7.4636e-7,0.0009181003],"genre_scores_gemma":[0.99811804,0.00023931023,0.00001703629,0.00006442951,0.000002959907,0.0000046124555,0.00006455971,7.5347697e-7,0.0014882227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970657,0.0000474666,0.00002025819,0.000034707246,0.00005153483,0.00013945157],"domain_scores_gemma":[0.99924004,0.000078633675,0.00025196295,0.000013674404,0.00007876359,0.00033699203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031701304,0.00015056497,0.00019957493,0.0005318378,0.0014556424,0.0010611321,0.0002766462,0.0004130605,0.0026664773],"category_scores_gemma":[0.0006207763,0.00022159991,0.000105756415,0.00091279414,0.000650024,0.0004977275,0.0007193712,0.0004451586,0.00023452459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014740767,0.0001438509,0.93748266,0.00017948366,0.000028341245,0.00820062,0.039855033,0.00028293673,0.0012545966,0.0007565331,0.0016346026,0.010033978],"study_design_scores_gemma":[0.000009150827,0.00010514881,0.8592258,0.000081742895,0.000007906137,0.0013548956,0.13486716,0.00020615643,0.00012236691,0.00009013079,0.0039192233,0.000010379032],"about_ca_topic_score_codex":0.086702496,"about_ca_topic_score_gemma":0.14984873,"teacher_disagreement_score":0.086702496,"about_ca_system_score_codex":0.001672341,"about_ca_system_score_gemma":0.0022944415,"threshold_uncertainty_score":0.17239565},"labels":[],"label_agreement":null},{"id":"W3091799333","doi":"10.5430/ijfr.v11n5p496","title":"Stock Market Development and Economic Growth: Empirical Evidence From an Institutional Impaired Economy","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock market; Stock exchange; Market depth; Economics; Gross domestic product; Monetary economics; Capitalization; Stock market bubble; Financial system; Commission; Business; Finance; Macroeconomics","score_opus":0.24582013652243684,"score_gpt":0.37462567718445433,"score_spread":0.1288055406620175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091799333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651814,0.00067622936,0.000114274444,0.0002760084,0.0000049085374,0.0000075017265,0.0002584209,0.0000024323347,0.0021422699],"genre_scores_gemma":[0.9988136,0.00060699857,0.000046891902,0.000026505602,0.000012568884,0.000002444778,0.0002869378,7.1424665e-7,0.00020321688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997576,0.000054914417,0.000035601854,0.000035019795,0.00005481908,0.00006198234],"domain_scores_gemma":[0.99318945,0.0024060456,0.003083551,0.00026258995,0.0005274082,0.00053096615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007949364,0.00022791962,0.00026510542,0.0016843124,0.00037708067,0.0012465097,0.00023032483,0.00032851976,0.002057212],"category_scores_gemma":[0.0037131964,0.00011753784,0.00030507278,0.0020518631,0.00079520163,0.0010906637,0.0009713627,0.00075349427,0.00027100186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008952683,0.00017146576,0.9910466,0.000036214537,0.00005960475,0.0003721306,0.00030462808,0.0003431358,0.000110106346,0.0012619547,0.0002045574,0.00600017],"study_design_scores_gemma":[0.0000064066517,0.00007302151,0.9958962,0.000035686062,0.000049855742,0.00017079835,0.0010608559,0.0010462642,0.00015092593,0.0006750472,0.0008289306,0.000006068797],"about_ca_topic_score_codex":0.006612627,"about_ca_topic_score_gemma":0.009412237,"teacher_disagreement_score":0.006612627,"about_ca_system_score_codex":0.0004889293,"about_ca_system_score_gemma":0.00054620596,"threshold_uncertainty_score":0.013148248},"labels":[],"label_agreement":null},{"id":"W3091822665","doi":"10.5430/ijfr.v11n5p199","title":"A Formalized Assessment of the Scenario Development of the National Economy in the Context of the Penetration of Blockchain Technologies Into the Financial Sector of Transactions","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Russian Science Foundation; Russian Foundation for Basic Research","keywords":"Blockchain; Context (archaeology); Order (exchange); Emerging technologies; Business; Financial services; Database transaction; Financial transaction; Transaction cost; Financial market; Process (computing); Financial sector; Industrial organization; Economics; Risk analysis (engineering); Finance; Computer science; Computer security","score_opus":0.09288583325866587,"score_gpt":0.390311178482972,"score_spread":0.2974253452243061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091822665","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31502423,0.0011243392,0.19186763,0.010682432,0.00015691045,0.00064160005,0.0024248096,0.0004476682,0.47763032],"genre_scores_gemma":[0.9575593,0.00071902253,0.034274295,0.000096574695,0.000011846844,0.00015882938,0.00048192302,0.0000343087,0.0066638794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99895597,0.0005709956,0.00005177278,0.00009894252,0.00016337587,0.00015885118],"domain_scores_gemma":[0.9984047,0.0007051498,0.00019394985,0.00012777875,0.00037617132,0.00019212585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017556497,0.00045708404,0.00023616756,0.0026691852,0.0013094279,0.00510549,0.00065160287,0.0013027827,0.010597938],"category_scores_gemma":[0.0040021082,0.00019656123,0.00060790323,0.0019725338,0.001644142,0.005648188,0.001892877,0.0010367439,0.00072728517],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006146274,0.00003452927,0.006603619,0.00016141965,0.000023814075,0.00097109133,0.0026281527,0.044986486,0.0009909514,0.92485714,0.0020809085,0.016600419],"study_design_scores_gemma":[0.000025621308,0.00021706142,0.014929796,0.000742213,0.000068299385,0.0015118606,0.027595758,0.23839092,0.0018516312,0.60885245,0.10570211,0.00011226696],"about_ca_topic_score_codex":0.0073395628,"about_ca_topic_score_gemma":0.009406767,"teacher_disagreement_score":0.010597938,"about_ca_system_score_codex":0.003944586,"about_ca_system_score_gemma":0.003392502,"threshold_uncertainty_score":0.035453677},"labels":[],"label_agreement":null},{"id":"W3091830451","doi":"10.5430/ijfr.v11n5p205","title":"What Can Machine Learning Tell Us About Intraday Price Patterns in a Frontier Stock Market?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frontier; Spillover effect; Stock market; Financial economics; Irrational number; Stock (firearms); Econometrics; Economics; Business; Microeconomics; Geography","score_opus":0.06559672665843824,"score_gpt":0.30298303686758504,"score_spread":0.2373863102091468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091830451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83227706,0.026741281,0.08784946,0.024074016,0.0005718339,0.00007770498,0.0066274176,0.00063094316,0.021150272],"genre_scores_gemma":[0.97860545,0.0051728366,0.011137629,0.00104793,0.000726603,0.00002560427,0.0021295494,0.000056166995,0.0010983605],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909186,0.0003622256,0.00008161942,0.0002074053,0.00016468341,0.00009225145],"domain_scores_gemma":[0.98429745,0.011336304,0.0017329317,0.0013913944,0.00092566974,0.00031623503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039620087,0.00084033585,0.0012009386,0.0035011806,0.0004830863,0.00401387,0.00086442864,0.0020261393,0.0036533668],"category_scores_gemma":[0.024715567,0.0003609868,0.0010642998,0.0027589945,0.0010945597,0.009672034,0.0008046941,0.002269812,0.0017872857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007444675,0.00041938765,0.5802674,0.0006965433,0.0012124198,0.000396899,0.0008148003,0.034274593,0.0023020767,0.009678351,0.010637479,0.3585556],"study_design_scores_gemma":[0.000084589665,0.00039780166,0.5323168,0.0009406115,0.0004465374,0.00073049933,0.0029106278,0.26903504,0.0022535613,0.1754698,0.015173471,0.00024065569],"about_ca_topic_score_codex":0.0023767666,"about_ca_topic_score_gemma":0.0018205479,"teacher_disagreement_score":0.00401387,"about_ca_system_score_codex":0.00043937232,"about_ca_system_score_gemma":0.0003439711,"threshold_uncertainty_score":0.020953357},"labels":[],"label_agreement":null},{"id":"W3091852119","doi":"10.5430/ijfr.v11n5p267","title":"Analysis of Impact of Non-financial Information Disclosure on Capitalization of Russian Oil and Gas Sector Companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Market capitalization; Index (typography); Capitalization; Business; Reputation; Finance; Investment (military); Accounting; Publicity; Stock market; Marketing","score_opus":0.04950875077473795,"score_gpt":0.38359787818794044,"score_spread":0.3340891274132025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091852119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986987,0.00008186695,0.00007281682,0.000037965652,0.0000016501989,0.00000372087,0.000114321854,0.0000030113015,0.0009858531],"genre_scores_gemma":[0.99972934,0.00004198743,0.000025664982,0.0000023008233,0.0000029309756,0.0000015849504,0.000088062036,4.8996185e-7,0.00010755755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987924,0.00039712107,0.00011780338,0.00012679129,0.00035470657,0.00021117389],"domain_scores_gemma":[0.9873827,0.0067529846,0.0039782887,0.00052509975,0.00093077356,0.0004300339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144051,0.0001728896,0.0002100783,0.0013631287,0.00020075767,0.0010066796,0.00019207195,0.00019418834,0.00096591417],"category_scores_gemma":[0.0077554155,0.00006983107,0.0004385154,0.0012448048,0.00033370324,0.00053459784,0.00048476888,0.00029830323,0.00013764086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001357014,0.0000551723,0.9895866,0.000019130075,0.00006601132,0.00016110868,0.00040714827,0.0014519915,0.0004787936,0.00035235542,0.00012095192,0.007165099],"study_design_scores_gemma":[0.0000014288792,0.00007231304,0.9963122,0.0000051445268,0.000028507764,0.0000558255,0.00029696312,0.002319029,0.0005597471,0.00008391669,0.0002599235,0.000005061345],"about_ca_topic_score_codex":0.005185446,"about_ca_topic_score_gemma":0.0028217875,"teacher_disagreement_score":0.005185446,"about_ca_system_score_codex":0.0007082151,"about_ca_system_score_gemma":0.0006292933,"threshold_uncertainty_score":0.010310531},"labels":[],"label_agreement":null},{"id":"W3091852206","doi":"10.5430/ijfr.v11n5p285","title":"The Determinant of Financial Performance of Indian Public Sector Banks- A Panel Data Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Asset quality; Return on equity; Capital adequacy ratio; Market liquidity; Business; Return on assets; Profitability index; Return on capital employed; Fixed effects model; Finance; Financial system; Human capital; Economics; Capital formation; Financial capital; Profit (economics); Econometrics; Economic growth","score_opus":0.20687112950417796,"score_gpt":0.33564526073366246,"score_spread":0.1287741312294845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091852206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896123,0.00018169891,0.0010960156,0.0004161919,0.00001888733,0.00003449255,0.0051126736,0.000032793898,0.0034949712],"genre_scores_gemma":[0.9953784,0.0001164662,0.0003351747,0.000054401753,0.000025797803,0.00003446555,0.0032480343,0.0000045234233,0.0008027712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987459,0.00053822057,0.00008617168,0.00018767102,0.0002008497,0.00024110675],"domain_scores_gemma":[0.9941163,0.0023904282,0.0016600353,0.0005856775,0.00090710126,0.00034049826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013116897,0.00024102128,0.00034325075,0.0012961909,0.00044006354,0.0013263538,0.0005710579,0.0005200615,0.0038617474],"category_scores_gemma":[0.0038033992,0.00018259403,0.00079772325,0.0024302248,0.0003255314,0.00040463073,0.0006396817,0.0009683168,0.00089051935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085610336,0.00016232497,0.98678815,0.000037227685,0.00021109093,0.0001791772,0.00036992747,0.002406884,0.00028443176,0.0004750187,0.0024684514,0.006531673],"study_design_scores_gemma":[0.0000075322937,0.000098145385,0.98883384,0.000032101227,0.00016837366,0.00012601432,0.0009223595,0.0071525886,0.00039552723,0.00026164492,0.0019824381,0.00001928806],"about_ca_topic_score_codex":0.03771844,"about_ca_topic_score_gemma":0.022866927,"teacher_disagreement_score":0.03771844,"about_ca_system_score_codex":0.0005784814,"about_ca_system_score_gemma":0.0007943072,"threshold_uncertainty_score":0.07499778},"labels":[],"label_agreement":null},{"id":"W3091855545","doi":"10.5430/ijfr.v11n5p353","title":"Artificial Intelligence and Its Use in Financial Markets","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Process (computing); Financial services; Competition (biology); Big data; Business; Business process; Emerging technologies; Information technology; Process management; Finance; Marketing; Industrial organization; Computer science; Work in process; Artificial intelligence","score_opus":0.27402194839234884,"score_gpt":0.4318356171772584,"score_spread":0.15781366878490954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091855545","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015368051,0.3498959,0.12633842,0.04262662,0.0031242901,0.0001630366,0.00048971915,0.00063318905,0.4613608],"genre_scores_gemma":[0.6527014,0.2055182,0.09695281,0.0045060273,0.0053391475,0.00049954146,0.0004050282,0.00020067242,0.033877276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773055,0.0013694225,0.00012456402,0.00021789609,0.00046983393,0.00008784977],"domain_scores_gemma":[0.99615884,0.0030301653,0.00020148305,0.00025206213,0.00024771542,0.000109645924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031423445,0.00071503175,0.0007431772,0.0037739917,0.0011996564,0.0073203174,0.0011447818,0.0031041882,0.0062328596],"category_scores_gemma":[0.0077036764,0.00023909958,0.00051325496,0.004975492,0.0054993606,0.006350664,0.002094274,0.0028374689,0.0011767913],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023055494,0.000038668757,0.0007742959,0.0003818887,0.000034332672,0.00023790267,0.0006936293,0.0024630104,0.00014205114,0.90374714,0.009113279,0.08235075],"study_design_scores_gemma":[0.000008371486,0.000021937236,0.0008012413,0.00060814014,0.000014893503,0.00023243342,0.0004889641,0.0076006465,0.00017698781,0.8751004,0.114922486,0.000023486049],"about_ca_topic_score_codex":0.002046801,"about_ca_topic_score_gemma":0.0010332036,"teacher_disagreement_score":0.0073203174,"about_ca_system_score_codex":0.0018484552,"about_ca_system_score_gemma":0.0015787376,"threshold_uncertainty_score":0.020850956},"labels":[],"label_agreement":null},{"id":"W3091863751","doi":"10.5430/ijfr.v11n5p510","title":"Corporate Governance, Managerial Diversion, and Indonesian State-Owned Enterprises: A Literature Review","year":2020,"lang":"en","type":"review","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Business; Shareholder; Indonesian; Accounting; Principal–agent problem; Government (linguistics); State owned; Agency (philosophy); Language change; Finance; Economics; Market economy","score_opus":0.06245983529460554,"score_gpt":0.33947801847177356,"score_spread":0.27701818317716803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091863751","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002635792,0.99222213,0.00013648087,0.001188856,0.00011211739,0.000006157788,0.000029113851,0.000004070267,0.0036654037],"genre_scores_gemma":[0.026191032,0.97268075,0.0001841881,0.00030393474,0.00019036952,0.00000855216,0.000046857698,0.000002064623,0.0003921574],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99938154,0.00017009325,0.00010749613,0.00011483277,0.00018324185,0.00004277908],"domain_scores_gemma":[0.99496704,0.0034265588,0.0009079936,0.00006333761,0.0004951939,0.00013986192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011079198,0.00051763206,0.00072938966,0.0055641094,0.00066669786,0.0027541195,0.0005906223,0.0010935585,0.0023369805],"category_scores_gemma":[0.0032623254,0.00040977425,0.00044037637,0.01074646,0.0010841711,0.0031223197,0.00074211456,0.0011554462,0.00030165678],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006453713,0.00022269847,0.017641252,0.04758296,0.00022978059,0.000952722,0.0034474782,0.0014751517,0.00034857035,0.04411838,0.026366577,0.8575498],"study_design_scores_gemma":[0.000018947,0.00016295318,0.12942915,0.1392239,0.0007133294,0.0033787203,0.0100685945,0.0021278807,0.00051112205,0.01860079,0.6956537,0.000110933506],"about_ca_topic_score_codex":0.005172283,"about_ca_topic_score_gemma":0.0085607385,"teacher_disagreement_score":0.0055641094,"about_ca_system_score_codex":0.0013696535,"about_ca_system_score_gemma":0.0034291234,"threshold_uncertainty_score":0.010284364},"labels":[],"label_agreement":null},{"id":"W3091916634","doi":"10.5430/ijfr.v11n5p376","title":"The Role of Business Strategies and Financial Decisions in Preparing for International Market Entry and Improving SMEs’ Performance: An Entrepreneurial Finance Perspective","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Sample (material); Structural equation modeling; Perspective (graphical); Finance; Marketing; Industrial organization","score_opus":0.025257272878588765,"score_gpt":0.31466855533319105,"score_spread":0.2894112824546023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091916634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98715717,0.00028533948,0.00050470233,0.00050276367,0.000004852876,0.000017413027,0.000020520338,0.0000032299329,0.011503992],"genre_scores_gemma":[0.99938154,0.000090975525,0.00015988447,0.000026707045,0.000003408228,0.000002345662,0.000005862195,4.3517775e-7,0.00032878606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945563,0.0002342036,0.00002692164,0.000036069752,0.00007610158,0.00017100468],"domain_scores_gemma":[0.99691087,0.0010373604,0.0010525202,0.000046956728,0.00018254304,0.0007697305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010781002,0.00027538493,0.0002085255,0.0006078644,0.00035383593,0.0024673291,0.00016698585,0.00043697958,0.0011774545],"category_scores_gemma":[0.0023994436,0.00008373948,0.00017049178,0.0005380148,0.00076880195,0.00088701944,0.0007203055,0.00046685047,0.000120870616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022175808,0.0013839535,0.9023414,0.00015238377,0.000119782955,0.0014387765,0.0032402496,0.0028926502,0.002933937,0.019359244,0.0005331183,0.065382846],"study_design_scores_gemma":[0.000027018583,0.00058262626,0.97418743,0.00011794121,0.000064548716,0.00036143017,0.007817233,0.0046734484,0.0014047386,0.007001914,0.00372777,0.00003389371],"about_ca_topic_score_codex":0.0015987417,"about_ca_topic_score_gemma":0.0037015248,"teacher_disagreement_score":0.0024673291,"about_ca_system_score_codex":0.00052283745,"about_ca_system_score_gemma":0.0011452056,"threshold_uncertainty_score":0.0057016015},"labels":[],"label_agreement":null},{"id":"W3091918227","doi":"10.5430/ijfr.v11n5p442","title":"Coronavirus Pandemic Impact on the Nexus Between Gold and Bitcoin Prices","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Null hypothesis; Safe haven; Unit root test; Granger causality; Unit root; Coronavirus disease 2019 (COVID-19); Econometrics; Economics; Pandemic; Gold standard (test); Nexus (standard); Statistics; Infectious disease (medical specialty); Financial economics; Mathematics; Medicine; Internal medicine; Disease; Computer science; Cointegration","score_opus":0.27434481801166094,"score_gpt":0.41439262254290965,"score_spread":0.1400478045312487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091918227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920666,0.00077706133,0.00026016607,0.0007464513,0.00003993525,0.000011371727,0.00043009478,0.000007116706,0.005661016],"genre_scores_gemma":[0.9985267,0.00029924116,0.00008469585,0.00006227328,0.000022895538,0.0000042080646,0.00021382967,0.0000034431278,0.0007827694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995053,0.00012799968,0.000031722353,0.00009326653,0.00010023066,0.00014151756],"domain_scores_gemma":[0.99827814,0.0005130488,0.0007952399,0.000046319423,0.0002169802,0.00015032604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004291778,0.00024512396,0.00026819247,0.00051034545,0.00032945315,0.0016066664,0.00017554812,0.00042841528,0.003313953],"category_scores_gemma":[0.00253306,0.00009922556,0.00036445542,0.00072806777,0.00046100563,0.0010101714,0.0008377883,0.00085314846,0.00023626866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006020162,0.00019606322,0.96534395,0.00014754295,0.00021188051,0.0016300558,0.0011603159,0.0022587366,0.002285822,0.0046109725,0.0017538636,0.019798702],"study_design_scores_gemma":[0.000007689044,0.00016825188,0.9862075,0.000054847635,0.00007082908,0.0002707051,0.0034356292,0.0038261788,0.00082705857,0.0018130412,0.0032952158,0.000023081027],"about_ca_topic_score_codex":0.007019868,"about_ca_topic_score_gemma":0.009052282,"teacher_disagreement_score":0.007019868,"about_ca_system_score_codex":0.00079934933,"about_ca_system_score_gemma":0.00062331645,"threshold_uncertainty_score":0.013958037},"labels":[],"label_agreement":null},{"id":"W3091968088","doi":"10.5430/ijfr.v11n5p238","title":"FDI Environment in China: A Critical Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Attractiveness; Foreign direct investment; Position (finance); Business; Population; Economics; International economics; Finance; Macroeconomics; Geography","score_opus":0.05510943446035817,"score_gpt":0.35373631839271574,"score_spread":0.2986268839323576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091968088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98552877,0.0008490737,0.00011787158,0.00042020934,0.000011350327,0.000033634144,0.00029289408,0.000005982942,0.012740194],"genre_scores_gemma":[0.997045,0.0010047709,0.00007520034,0.00004585157,0.000016506756,0.0000083287105,0.00017813852,0.0000015157281,0.0016247263],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997409,0.00003770419,0.000012241225,0.000023166182,0.000067699795,0.00011821408],"domain_scores_gemma":[0.99934,0.00009487599,0.00014642712,0.000015471325,0.00029857035,0.00010471763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039233468,0.00024418344,0.00016796701,0.0028795898,0.00074810465,0.00093646575,0.00019694114,0.00018828259,0.0025549848],"category_scores_gemma":[0.0005764895,0.00010257385,0.00027318954,0.0030019889,0.00046480994,0.0005033826,0.0005050207,0.00020013728,0.0001346001],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014151096,0.00010483557,0.9428606,0.00026509605,0.00006570342,0.0025253715,0.0033270367,0.003032818,0.0012072222,0.009148671,0.0030635137,0.034257628],"study_design_scores_gemma":[0.0000026262867,0.00006912316,0.9891811,0.000030495266,0.000020433878,0.00015005945,0.0035599226,0.0012841908,0.00030266595,0.0002987005,0.0050902893,0.000010532221],"about_ca_topic_score_codex":0.10470038,"about_ca_topic_score_gemma":0.09321364,"teacher_disagreement_score":0.10470038,"about_ca_system_score_codex":0.0047318013,"about_ca_system_score_gemma":0.002551183,"threshold_uncertainty_score":0.20818192},"labels":[],"label_agreement":null},{"id":"W3092000904","doi":"10.5430/ijfr.v11n5p275","title":"The Effect of International Currency Crises on the Balance of Payments: Evidence From Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renminbi; Currency; Economics; Balance of payments; Liberian dollar; International economics; Monetary economics; Exchange rate; Devaluation; Us dollar; Context (archaeology); Current account; Finance","score_opus":0.07046090536757094,"score_gpt":0.3647184938670466,"score_spread":0.29425758849947564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092000904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99190086,0.0026779124,0.00006882604,0.00090987206,0.000015422524,0.000008186396,0.0003041005,0.0000039185447,0.004110812],"genre_scores_gemma":[0.9960077,0.0027793034,0.000060086157,0.00017210993,0.000040485353,0.0000051285106,0.00045264885,0.0000041551916,0.0004783296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926275,0.00029810343,0.000093333576,0.00008581859,0.00015393799,0.00010599779],"domain_scores_gemma":[0.9891488,0.0023678632,0.0052350643,0.00025531347,0.0024050162,0.0005878998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019094796,0.0002559376,0.0003332343,0.0015223781,0.00039604233,0.0018936133,0.000439445,0.0004779206,0.0023305835],"category_scores_gemma":[0.007321056,0.00017547599,0.00029504966,0.0030074797,0.00097249437,0.0013591264,0.0011568288,0.0007893389,0.0004683754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001106599,0.00032953318,0.95364296,0.0004988547,0.00026725148,0.0017113657,0.004234645,0.00096727355,0.00045373713,0.0023297088,0.0031973969,0.031260584],"study_design_scores_gemma":[0.00006861636,0.00026982013,0.97135544,0.00028630835,0.00015457702,0.00051764277,0.014751678,0.0010293152,0.00067787955,0.00093089143,0.0099277375,0.000030065305],"about_ca_topic_score_codex":0.007454502,"about_ca_topic_score_gemma":0.008896761,"teacher_disagreement_score":0.007454502,"about_ca_system_score_codex":0.00089231844,"about_ca_system_score_gemma":0.0010354809,"threshold_uncertainty_score":0.014822245},"labels":[],"label_agreement":null},{"id":"W3092012379","doi":"10.5430/ijfr.v11n5p226","title":"Audit Committee Features and CSR Disclosure: Additional Evidence From an Emerging Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Accounting; Stock exchange; Business; Emerging markets; Incentive; Audit; Audit committee; Sample (material); Context (archaeology); Transparency (behavior); Annual report; Independence (probability theory); Public relations; Finance; Economics","score_opus":0.044983909280772345,"score_gpt":0.33184676341124275,"score_spread":0.2868628541304704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092012379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762076,0.00039779398,0.00005573237,0.00032196185,0.0000064399765,0.000008155556,0.0001354805,9.1385255e-7,0.0014528076],"genre_scores_gemma":[0.99877256,0.0003771014,0.00005151163,0.000104302955,0.00003453832,0.0000039983897,0.00022765831,0.0000015596518,0.00042668168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857104,0.00044396654,0.00013851149,0.00016974375,0.0004470191,0.00022973887],"domain_scores_gemma":[0.96717256,0.006263256,0.021011457,0.00079297886,0.0031207595,0.0016389914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037718336,0.00015311192,0.00025533244,0.0014820569,0.0006952868,0.0019586354,0.00043143673,0.0004121248,0.0028916989],"category_scores_gemma":[0.007203473,0.000116827505,0.00027210737,0.002141169,0.0008354014,0.0016462872,0.0011442831,0.0008950867,0.00029738262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006535412,0.00019855925,0.9904923,0.0000399963,0.000040477953,0.0001814622,0.0018922649,0.000051390263,0.00006507537,0.00046216274,0.00044369846,0.0060673174],"study_design_scores_gemma":[0.000009161385,0.000088356406,0.9901198,0.000051411913,0.0000296148,0.000101359576,0.0069633434,0.00029825862,0.00012122582,0.00017981746,0.0020301903,0.0000073578703],"about_ca_topic_score_codex":0.010473785,"about_ca_topic_score_gemma":0.018525306,"teacher_disagreement_score":0.010473785,"about_ca_system_score_codex":0.00061492715,"about_ca_system_score_gemma":0.0013257463,"threshold_uncertainty_score":0.020825624},"labels":[],"label_agreement":null},{"id":"W3092042936","doi":"10.5430/ijfr.v11n5p359","title":"Effects of Internal and External Factors on Profitability of Jordanian Commercial Banks: Panel Data Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hausman test; Profitability index; Panel data; Volatility (finance); Business; Leverage (statistics); Ordinary least squares; Fixed effects model; Econometrics; Monetary economics; Diversification (marketing strategy); Economics; Finance; Statistics; Marketing","score_opus":0.11986506369159075,"score_gpt":0.34730116790536353,"score_spread":0.22743610421377278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092042936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99474806,0.00033353307,0.0007613273,0.00022954722,0.000012378344,0.000018336657,0.0023983577,0.000016001697,0.0014825652],"genre_scores_gemma":[0.9937844,0.00026222886,0.0004160272,0.000067388915,0.000029201072,0.000029736517,0.0042724973,0.0000049688306,0.0011335926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877506,0.0005340059,0.000079310805,0.00024409234,0.00016595848,0.00020158172],"domain_scores_gemma":[0.99389774,0.0031660383,0.0014853776,0.00030958385,0.0007823976,0.00035882794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020766952,0.0003300838,0.00042691498,0.0010301444,0.00031995523,0.00119821,0.00037441886,0.0006294001,0.003036039],"category_scores_gemma":[0.0037141703,0.0001921236,0.00084775477,0.0015364095,0.0003122033,0.0007078517,0.0006244581,0.0010145545,0.0006074469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014890391,0.00012732139,0.9837389,0.00003066064,0.00027089386,0.0002224505,0.00022553938,0.005167315,0.0002160539,0.00037280584,0.0014890532,0.007990055],"study_design_scores_gemma":[0.000013657845,0.00023019366,0.9799162,0.00003635117,0.00023635116,0.00011664279,0.0008258487,0.015274743,0.00053740485,0.00037882366,0.0024103909,0.000023375636],"about_ca_topic_score_codex":0.014308837,"about_ca_topic_score_gemma":0.013271739,"teacher_disagreement_score":0.014308837,"about_ca_system_score_codex":0.00061041483,"about_ca_system_score_gemma":0.0006127987,"threshold_uncertainty_score":0.028451085},"labels":[],"label_agreement":null},{"id":"W3092076701","doi":"10.5430/ijfr.v11n5p254","title":"Trade Facilitation Effects on International Trade: Evidence From Lower-Middle and Upper-Middle-Income Countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Trade facilitation; Facilitation; Economics; Middle income; Empirical evidence; Middle level; International trade; Trade barrier; International economics; Business; Demographic economics","score_opus":0.14992053988553528,"score_gpt":0.32462736396628106,"score_spread":0.17470682408074578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092076701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937496,0.0013524326,0.00014709134,0.0002110602,0.0000074848176,0.000007707798,0.00023260526,0.0000077272,0.00428438],"genre_scores_gemma":[0.99897194,0.0006410104,0.000050042203,0.000015876187,0.000011189333,0.0000046994815,0.00015819215,0.0000014576763,0.00014556982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986883,0.00042616643,0.00007983731,0.00017733606,0.0002374173,0.00039099585],"domain_scores_gemma":[0.9911786,0.0022514784,0.0044243666,0.00057305105,0.00059545896,0.0009769648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016051083,0.00031557705,0.0004888477,0.0017863597,0.00066000543,0.0013381361,0.00020536767,0.0002715041,0.0030244887],"category_scores_gemma":[0.005159036,0.00014907411,0.00057612144,0.0037120904,0.0018025426,0.0011075573,0.003032296,0.00055014476,0.0002713002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030781928,0.00010245541,0.9761738,0.0002623351,0.00020829606,0.00056657573,0.0021198704,0.0014617232,0.0004233246,0.0031756177,0.00066193065,0.014536229],"study_design_scores_gemma":[0.000009791918,0.00006567619,0.99583876,0.0000776262,0.000053842043,0.0000786071,0.0016378675,0.00017356391,0.00014403039,0.00029277726,0.0016206882,0.0000068609206],"about_ca_topic_score_codex":0.011636684,"about_ca_topic_score_gemma":0.016753169,"teacher_disagreement_score":0.011636684,"about_ca_system_score_codex":0.0006264249,"about_ca_system_score_gemma":0.0008452201,"threshold_uncertainty_score":0.023137867},"labels":[],"label_agreement":null},{"id":"W3092094366","doi":"10.5430/ijfr.v11n5p392","title":"Financial Impact of Digital Technologies as a Promising Element of Import Substitution","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Agriculture; Industrial production; Context (archaeology); Production (economics); Order (exchange); Business; Agricultural productivity; Commerce; Economics; Digital economy; Industrial organization; Finance; Macroeconomics","score_opus":0.05291975569098867,"score_gpt":0.3317763619367936,"score_spread":0.27885660624580494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092094366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5803079,0.0023778926,0.005200948,0.0049337805,0.00012348888,0.000041530195,0.00017231725,0.0000420401,0.40680003],"genre_scores_gemma":[0.9925936,0.0007419576,0.00052572775,0.00009964498,0.00002571871,0.0000058964856,0.00003316237,0.0000045030188,0.005969879],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995771,0.00012065722,0.000020398009,0.000038997856,0.00014921675,0.000093623465],"domain_scores_gemma":[0.99931014,0.00021426822,0.00021319688,0.00005088249,0.00014226715,0.00006918441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041422056,0.00015841899,0.00009045334,0.0010285631,0.0009403191,0.003531195,0.00021754048,0.0005058192,0.0051832893],"category_scores_gemma":[0.0015435942,0.00006635961,0.0001587102,0.0010620098,0.001460016,0.0027256191,0.0014092549,0.0005931635,0.0004040327],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018128853,0.00012595474,0.06651575,0.00036191568,0.00003559401,0.0027317384,0.006586102,0.0029186655,0.0055815643,0.78247607,0.0040919767,0.12839341],"study_design_scores_gemma":[0.00004329257,0.0004607211,0.21647823,0.0012293023,0.00014355306,0.0036539955,0.03680155,0.010893902,0.017130453,0.17626572,0.5367918,0.000107480395],"about_ca_topic_score_codex":0.001405098,"about_ca_topic_score_gemma":0.0017868876,"teacher_disagreement_score":0.0051832893,"about_ca_system_score_codex":0.0018474769,"about_ca_system_score_gemma":0.0010224422,"threshold_uncertainty_score":0.017339826},"labels":[],"label_agreement":null},{"id":"W3092147033","doi":"10.5430/ijfr.v11n5p434","title":"Financial and Economic Features of Technical Re-equipment of the Workshop Machine-Building Enterprise","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Obsolescence; Process (computing); Product (mathematics); Production (economics); Business; Productivity; Quality (philosophy); Risk analysis (engineering); Manufacturing engineering; Operations management; Computer science; Marketing; Engineering; Economics","score_opus":0.022521375572445563,"score_gpt":0.3012745468616723,"score_spread":0.2787531712892268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092147033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8271512,0.0008849632,0.0013553211,0.0029551175,0.000028627586,0.000059932423,0.00046011902,0.000022744418,0.16708215],"genre_scores_gemma":[0.99657416,0.00011258843,0.000092219016,0.0000322045,0.000018556155,0.000007826246,0.000068826484,0.0000016522948,0.0030919448],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994159,0.000117008894,0.000021131807,0.000047743408,0.0001791178,0.00021926513],"domain_scores_gemma":[0.99736184,0.0007047099,0.0008899783,0.000079936304,0.00042014528,0.00054337893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005831648,0.00012945381,0.00012758959,0.0020265954,0.0010327051,0.0031435504,0.00035448858,0.0006401163,0.008434215],"category_scores_gemma":[0.003371171,0.00008567152,0.00014900093,0.0017369053,0.0012462871,0.0023855066,0.0009299842,0.00059328927,0.000353382],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057505135,0.00071496406,0.33344105,0.0001308515,0.000039510247,0.0046190573,0.0029455572,0.00495995,0.0016381328,0.5770795,0.011467833,0.062388532],"study_design_scores_gemma":[0.000040986237,0.00026239085,0.83346117,0.00015703766,0.000041004107,0.0017005167,0.01065648,0.008536781,0.00091049884,0.088478036,0.0556845,0.000070667156],"about_ca_topic_score_codex":0.0041497103,"about_ca_topic_score_gemma":0.003481867,"teacher_disagreement_score":0.008434215,"about_ca_system_score_codex":0.0026830698,"about_ca_system_score_gemma":0.0011693215,"threshold_uncertainty_score":0.02821523},"labels":[],"label_agreement":null},{"id":"W3092174446","doi":"10.5430/ijfr.v11n5p485","title":"Formation of Emotional Intelligence of the Financial Company's Employees","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Emotional intelligence; Competence (human resources); Emotional competence; Human resource management; Psychology; Knowledge management; Business; Marketing; Computer science; Social psychology","score_opus":0.08092416000711339,"score_gpt":0.3072673406744314,"score_spread":0.226343180667318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092174446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862126,0.00006324286,0.0005909979,0.00025342876,0.00001228453,0.000017779566,0.00002198792,0.000009119395,0.012818673],"genre_scores_gemma":[0.9991479,0.000026585192,0.00018964379,0.000027126296,0.0000042221186,0.0000047698227,0.000014581548,8.711953e-7,0.0005843298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995061,0.00016455604,0.00003361375,0.000044055603,0.0001359853,0.00011576727],"domain_scores_gemma":[0.99867505,0.00031573288,0.00031492097,0.000083247665,0.000325971,0.00028508206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007728294,0.00017624164,0.00016132015,0.00076475536,0.0006272266,0.0016704497,0.00013450772,0.00027029405,0.0016220409],"category_scores_gemma":[0.0027104847,0.00007634023,0.0001854318,0.00031448173,0.00051697646,0.0004188336,0.0006753072,0.00041296522,0.00020480684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003186011,0.000633007,0.77562636,0.00015352346,0.00013700641,0.0011651465,0.062104624,0.0010076427,0.020563329,0.0064030834,0.0031131848,0.12877448],"study_design_scores_gemma":[0.000009806399,0.00019105009,0.9653286,0.000031021627,0.000037290087,0.0003533241,0.025442095,0.0012158769,0.001683687,0.00130748,0.004370454,0.000029312958],"about_ca_topic_score_codex":0.0010055834,"about_ca_topic_score_gemma":0.0006904497,"teacher_disagreement_score":0.0016704497,"about_ca_system_score_codex":0.0005625949,"about_ca_system_score_gemma":0.00038074364,"threshold_uncertainty_score":0.0054262877},"labels":[],"label_agreement":null},{"id":"W3092187609","doi":"10.5430/ijfr.v11n5p304","title":"The Relationship Between Corporate Social Responsibility and Corporate Financial Performance: A Moderating Effect of Economic Policy Uncertainty","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Nexus (standard); Accounting; Business; Context (archaeology); Stock market; Corporate governance; Vietnamese; Finance; Public relations; Political science","score_opus":0.16156848503305737,"score_gpt":0.38734517963962267,"score_spread":0.2257766946065653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092187609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891506,0.00061488803,0.00076140056,0.0020302832,0.000027158063,0.00003060883,0.00012464743,0.000006146336,0.0072544445],"genre_scores_gemma":[0.9995402,0.00011844975,0.00006343219,0.000049902585,0.000012717643,0.00000707197,0.000026413436,0.0000011417106,0.00018064411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960061,0.0018339411,0.0002597772,0.0004860299,0.000712522,0.00070172834],"domain_scores_gemma":[0.95248806,0.029305346,0.013014373,0.0009724316,0.001937255,0.002282614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039054372,0.00030471844,0.00037664073,0.0008015476,0.0008818582,0.0023840147,0.00040677257,0.0009298167,0.003332661],"category_scores_gemma":[0.021130921,0.00014771544,0.00043121036,0.0007937677,0.0012172405,0.0015488665,0.0020249642,0.0014341384,0.00017288598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020288746,0.0005833196,0.9702904,0.000118671516,0.00030954674,0.00038200055,0.0032550283,0.002071883,0.0003655926,0.0063645085,0.0004903754,0.015565703],"study_design_scores_gemma":[0.000019015686,0.00026594932,0.97916746,0.00016588015,0.00017952778,0.00007288721,0.005896836,0.004842394,0.00055117393,0.006312677,0.0024941182,0.0000320463],"about_ca_topic_score_codex":0.009182919,"about_ca_topic_score_gemma":0.007331258,"teacher_disagreement_score":0.009182919,"about_ca_system_score_codex":0.0014121003,"about_ca_system_score_gemma":0.0024852976,"threshold_uncertainty_score":0.020654142},"labels":[],"label_agreement":null},{"id":"W3092194258","doi":"10.5430/ijfr.v11n5p319","title":"Relationship Between Various Determinants and Dimensions of Financial Literacy Among Working Class","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial literacy; Finance; Financial analysis; Accounting management; Business; Economics; Accounting","score_opus":0.09321240776822318,"score_gpt":0.36082468745692103,"score_spread":0.26761227968869783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092194258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980556,0.00011945386,0.00004364158,0.000106576714,0.000003286769,0.0000062030235,0.000069195536,0.0000015731665,0.0015945176],"genre_scores_gemma":[0.99952614,0.00007239737,0.000038743652,0.000016847709,0.0000045636307,0.0000039346473,0.00005103696,5.8818574e-7,0.00028582208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999653,0.000060406048,0.000036477362,0.000036789308,0.000089704656,0.00012365625],"domain_scores_gemma":[0.99733233,0.000751774,0.0012191591,0.00008637646,0.0002080713,0.00040237818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041916672,0.00013226515,0.0002084458,0.0009358895,0.00028510447,0.0008487154,0.00021746707,0.00032795867,0.0040344545],"category_scores_gemma":[0.003627251,0.000101711375,0.00025872595,0.0005614116,0.00033990125,0.00040979282,0.00045946665,0.0004835466,0.000300372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018059356,0.00010021477,0.994351,0.000018638648,0.000014935225,0.00012084313,0.000505605,0.000037946764,0.00015309766,0.00009560992,0.000104505736,0.0044794357],"study_design_scores_gemma":[7.952217e-7,0.000045065593,0.99859387,0.000015377695,0.0000053143026,0.00014451622,0.0007385849,0.00009536447,0.000040920924,0.000056433833,0.00026111768,0.00000275166],"about_ca_topic_score_codex":0.0028094077,"about_ca_topic_score_gemma":0.0031875325,"teacher_disagreement_score":0.0040344545,"about_ca_system_score_codex":0.00018490264,"about_ca_system_score_gemma":0.0002542005,"threshold_uncertainty_score":0.013496637},"labels":[],"label_agreement":null},{"id":"W3092200542","doi":"10.5430/ijfr.v11n5p424","title":"The Relationship Between of Cash Flows (Financing, Investment and Operating) and Stock Prices, Size of the Firms","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Palestine Technical University Kadoorie","keywords":"Null hypothesis; Stock exchange; Cash flow; Operating cash flow; Stock (firearms); Growth stock; Business; Statistical hypothesis testing; Economics; Finance; Econometrics; Financial economics; Restricted stock; Mathematics; Statistics; Stock market","score_opus":0.06008633846955732,"score_gpt":0.3186703998456167,"score_spread":0.2585840613760594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092200542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99729806,0.0001963896,0.00013078777,0.00006464721,0.0000043121963,0.000008370164,0.0001542053,0.0000024866608,0.0021408196],"genre_scores_gemma":[0.9990176,0.00012076565,0.000091666945,0.000009242312,0.00001063446,0.000005361118,0.00018123799,7.150264e-7,0.00056270347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995395,0.00010113215,0.000054371274,0.00006318629,0.00014564002,0.000096273194],"domain_scores_gemma":[0.9899009,0.0047313944,0.0038899295,0.00021239145,0.0005969037,0.00066857337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010179295,0.0002501734,0.00016545529,0.0015360577,0.000255013,0.0011401778,0.00017997874,0.00032191034,0.0033898575],"category_scores_gemma":[0.0060459655,0.00010838556,0.00018972826,0.00096239086,0.00033435697,0.000875524,0.0004506978,0.00048446213,0.00026140857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051361993,0.000069730835,0.9941043,0.000012089342,0.000028547232,0.00012246864,0.000103704406,0.00021086812,0.00016616103,0.000377434,0.00007376291,0.0046796813],"study_design_scores_gemma":[0.0000026817145,0.00009330074,0.9980714,0.000011833984,0.000018271918,0.0001702634,0.00026801552,0.00046686246,0.00017501198,0.0003056292,0.00041168023,0.000005085633],"about_ca_topic_score_codex":0.0018151738,"about_ca_topic_score_gemma":0.0023314417,"teacher_disagreement_score":0.0033898575,"about_ca_system_score_codex":0.00044031406,"about_ca_system_score_gemma":0.00045346573,"threshold_uncertainty_score":0.011340201},"labels":[],"label_agreement":null},{"id":"W3092211778","doi":"10.5430/ijfr.v11n5p221","title":"Financial Accounting, Analysis and Features of Calculations With Personnel","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Payment; Business; Economic shortage; Accounting; Profit (economics); Finance; Compensation (psychology); Actuarial science; Economics","score_opus":0.028821014394899206,"score_gpt":0.30411487116372515,"score_spread":0.27529385676882595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092211778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46162337,0.0062700193,0.12388199,0.002674054,0.0005765951,0.0011352488,0.0093915155,0.0019577935,0.3924894],"genre_scores_gemma":[0.93003964,0.0018283748,0.045576796,0.00006878004,0.00029695657,0.00024456723,0.0031402053,0.00013534537,0.018669438],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.995719,0.0010016003,0.0005649697,0.0004308988,0.0020005424,0.0002829541],"domain_scores_gemma":[0.9891501,0.0030949062,0.0028825959,0.0011457341,0.0034235069,0.0003032693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033728788,0.00045239154,0.00026758917,0.008023106,0.0011153149,0.0040741796,0.0006444762,0.00026140432,0.0057092197],"category_scores_gemma":[0.017609717,0.00016752954,0.00034939396,0.010009727,0.0009632183,0.0023553339,0.00092380494,0.0004230346,0.001362849],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019037766,0.00013031912,0.15593849,0.00041876515,0.000070319256,0.0002982147,0.0031134994,0.0049207,0.0015374506,0.11028375,0.02044697,0.7026511],"study_design_scores_gemma":[0.000019924955,0.00020705372,0.6263186,0.0005063962,0.0001198902,0.0010219981,0.0052009732,0.01792126,0.0053249607,0.06637331,0.27679253,0.00019314002],"about_ca_topic_score_codex":0.0073611555,"about_ca_topic_score_gemma":0.0038337854,"teacher_disagreement_score":0.008023106,"about_ca_system_score_codex":0.0019987226,"about_ca_system_score_gemma":0.00306579,"threshold_uncertainty_score":0.019099295},"labels":[],"label_agreement":null},{"id":"W3092225745","doi":"10.5430/ijfr.v11n5p518","title":"The Impact of Earnings Management on Dividend Policy: Evidence From Kuwait","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend policy; Dividend; Maturity (psychological); Earnings; Business; Stock exchange; Sample (material); Economics; Financial economics; Monetary economics; Accounting; Finance; Political science","score_opus":0.08625039332677492,"score_gpt":0.3937707735948574,"score_spread":0.3075203802680825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092225745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823844,0.000427984,0.000026817786,0.0001543737,0.0000022909358,0.0000033631825,0.000084049665,0.000001627643,0.001060959],"genre_scores_gemma":[0.99895525,0.00057100446,0.000021324955,0.00003717723,0.000007275475,0.000001990029,0.00015204481,7.9471477e-7,0.00025305146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948573,0.00013760907,0.00005480846,0.000061462706,0.000114098024,0.000146256],"domain_scores_gemma":[0.9955716,0.0010745693,0.0025411875,0.00017719684,0.00038857537,0.00024681576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095076073,0.0003471975,0.0003197927,0.0013499414,0.0007251605,0.0014659419,0.00046495703,0.00049464544,0.0011948359],"category_scores_gemma":[0.0027339398,0.00026324735,0.0003019244,0.0024895011,0.00097777,0.0007797925,0.00096994184,0.0006307172,0.00022482779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045441763,0.00035536118,0.97509766,0.00013483372,0.00022394359,0.0009533104,0.0031219802,0.00075955736,0.0009851649,0.0010155208,0.0005015245,0.016396679],"study_design_scores_gemma":[0.0000120023215,0.00007846541,0.9956708,0.00004369324,0.00009400829,0.00007433073,0.002171552,0.0005867092,0.0003411987,0.00008056076,0.0008360896,0.000010515269],"about_ca_topic_score_codex":0.14019659,"about_ca_topic_score_gemma":0.15422237,"teacher_disagreement_score":0.14019659,"about_ca_system_score_codex":0.0016614848,"about_ca_system_score_gemma":0.0014460324,"threshold_uncertainty_score":0.2787611},"labels":[],"label_agreement":null},{"id":"W3092240174","doi":"10.5430/ijfr.v11n5p527","title":"Do Mutual Fund Managers Time Market Sentiment?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mutual fund; Market timing; Volatility (finance); Portfolio; Market sentiment; Market liquidity; Business; Equity (law); Index fund; Monetary economics; Finance; Economics; Open-end fund; Institutional investor","score_opus":0.12335256635756976,"score_gpt":0.334350841128212,"score_spread":0.21099827477064226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092240174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694496,0.00016825795,0.00008790928,0.00043600023,0.000009429611,0.0000036823076,0.00009924331,0.0000037443072,0.0022467654],"genre_scores_gemma":[0.9994185,0.00008678791,0.00003060412,0.00005982763,0.000022436518,0.0000023310483,0.00005564426,5.9888083e-7,0.00032334187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997131,0.00007378482,0.000027625014,0.000042215852,0.000075784956,0.00006742235],"domain_scores_gemma":[0.9944126,0.0006049115,0.004130626,0.00014085064,0.00024498437,0.00046602925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008872506,0.00013804187,0.00017730384,0.00049484585,0.00018638528,0.00086069526,0.00013467224,0.00037732036,0.0019486822],"category_scores_gemma":[0.005667615,0.00007738571,0.000109970584,0.00041752346,0.00021691415,0.00077528344,0.00033886795,0.00024772531,0.0002710551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068969144,0.000030063049,0.98540825,0.000014439439,0.00003764747,0.000061356,0.00079527084,0.000084078725,0.000347884,0.0004137979,0.0007628439,0.011975364],"study_design_scores_gemma":[0.000004650773,0.00004497938,0.99696773,0.0000073125766,0.00001679337,0.000053654952,0.00081142643,0.00042549512,0.0001484854,0.0003059292,0.0012076154,0.0000059552176],"about_ca_topic_score_codex":0.0028977164,"about_ca_topic_score_gemma":0.004440624,"teacher_disagreement_score":0.0028977164,"about_ca_system_score_codex":0.00036944926,"about_ca_system_score_gemma":0.00019644358,"threshold_uncertainty_score":0.0065190196},"labels":[],"label_agreement":null},{"id":"W3092303628","doi":"10.5430/ijfr.v11n5p334","title":"Gross Domestic Product, Number of Employees and Inflation Rate and Its Relationship to Private Final Consumption in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Gross domestic product; Inflation (cosmology); Consumption (sociology); Personal consumption expenditures price index; Monetary economics; Debt; Inflation rate; Consumer spending; Product (mathematics); Demographic economics; Macroeconomics; Interest rate; Personal income; Mathematics","score_opus":0.09558476995689322,"score_gpt":0.37668062524547224,"score_spread":0.28109585528857906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092303628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970266,0.000586985,0.000034918634,0.0002870271,0.0000070305787,0.0000038382364,0.00031258643,0.00000615392,0.0017348572],"genre_scores_gemma":[0.9971002,0.00053926295,0.00008394117,0.00004093749,0.00002563408,0.000007585214,0.00055832445,0.000004245484,0.0016398852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996885,0.00008795034,0.000046114357,0.00004475908,0.000067572335,0.000065150605],"domain_scores_gemma":[0.9977392,0.00054906483,0.0009033299,0.000061197396,0.00037987225,0.0003673369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059750845,0.00016448695,0.00022459253,0.0008976647,0.00033208908,0.0011707079,0.00026455193,0.0002961657,0.0034314496],"category_scores_gemma":[0.0017931415,0.00018781246,0.00035536918,0.0014983887,0.0003499942,0.00049683615,0.00042925554,0.000590514,0.0006668557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052255884,0.000071271075,0.9959835,0.000019996407,0.00002991705,0.0001160385,0.00034740727,0.00017816063,0.00004561414,0.00016611448,0.00061342056,0.0023764526],"study_design_scores_gemma":[0.000004178238,0.000080616235,0.995231,0.000027148117,0.000021642714,0.00022238019,0.0021370335,0.00072077505,0.000055917648,0.00013006675,0.0013627447,0.0000065108893],"about_ca_topic_score_codex":0.015053796,"about_ca_topic_score_gemma":0.011953835,"teacher_disagreement_score":0.015053796,"about_ca_system_score_codex":0.0006706569,"about_ca_system_score_gemma":0.0008561899,"threshold_uncertainty_score":0.02993238},"labels":[],"label_agreement":null},{"id":"W3092327394","doi":"10.5430/ijfr.v11n5p469","title":"The Impact of Social and Positive Psychological Capital on the Efficiency: A Field Study From the Perspective of Jordanian Auditors of the Performance of Audit Offices","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Perspective (graphical); Test (biology); Teamwork; Descriptive statistics; Psychology; Sample (material); Work (physics); Field (mathematics); Applied psychology; Business; Accounting; Management; Economics; Computer science; Statistics; Engineering","score_opus":0.03826139044248212,"score_gpt":0.37114652940873927,"score_spread":0.33288513896625715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092327394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928766,0.000017395161,0.000025640144,0.000058218367,0.0000013803456,0.0000065645304,0.000004652641,2.519251e-7,0.0005982374],"genre_scores_gemma":[0.9997267,0.000025198053,0.000027026706,0.0000243363,0.000004260505,0.0000051986526,0.000003839246,2.68072e-7,0.00018300662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972572,0.0014418968,0.0000999647,0.00014542419,0.00048746116,0.0005680901],"domain_scores_gemma":[0.9922988,0.002983962,0.0019084539,0.0003314435,0.0010114006,0.0014659496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003189883,0.00022094022,0.00024028408,0.0013559484,0.0021025725,0.00211984,0.00027758387,0.00041010857,0.0019061981],"category_scores_gemma":[0.0057291435,0.00021148229,0.0002682352,0.0007165959,0.002141236,0.0009210421,0.0013163176,0.0008166229,0.00013099132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027628767,0.002269517,0.82369703,0.000106854444,0.00004547186,0.00072009873,0.1342513,0.00015639176,0.0013457194,0.0011175025,0.0007249473,0.035288833],"study_design_scores_gemma":[0.000010177968,0.00071643357,0.8257355,0.000041367228,0.00002202426,0.0002007602,0.17124383,0.00021383127,0.00035457293,0.00018267105,0.0012596498,0.000019173991],"about_ca_topic_score_codex":0.0027144058,"about_ca_topic_score_gemma":0.005356313,"teacher_disagreement_score":0.003189883,"about_ca_system_score_codex":0.0013983247,"about_ca_system_score_gemma":0.001504344,"threshold_uncertainty_score":0.016869903},"labels":[],"label_agreement":null},{"id":"W3092367021","doi":"10.5430/ijfr.v11n5p414","title":"Impact of Institutional Governance Tools on Reducing Agency Costs to Commercial Banks Listed in the Amman Stock Exchange","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Zarqa University","keywords":"Business; Audit committee; Accounting; Stock exchange; Agency cost; Free cash flow; Corporate governance; Finance; Debt ratio; Audit; Operating expense; Agency (philosophy); Debt; Shareholder","score_opus":0.12737914379626697,"score_gpt":0.391285573952611,"score_spread":0.263906430156344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092367021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94977206,0.0048796907,0.004184823,0.0059177103,0.00017046955,0.00029192603,0.00017517676,0.00023173004,0.034376398],"genre_scores_gemma":[0.993252,0.0012405848,0.0026868628,0.0002932304,0.00010587095,0.00005143216,0.000096915464,0.000010611885,0.0022624661],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99615085,0.001720412,0.00024242305,0.00023402387,0.0011226228,0.0005296895],"domain_scores_gemma":[0.98085874,0.0048060836,0.008575737,0.00081880053,0.0027458835,0.0021947487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026752506,0.00040971293,0.00023655336,0.0016314044,0.00076564756,0.002910906,0.00043275504,0.00046281397,0.005516277],"category_scores_gemma":[0.016419997,0.000098694465,0.00029603048,0.0012090257,0.00046812682,0.0014135898,0.0013967521,0.00066549866,0.00037442957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004430041,0.002895333,0.1603519,0.0012328352,0.00025495837,0.00072595215,0.0017420965,0.0044558262,0.0039419886,0.0076273615,0.016293626,0.8000351],"study_design_scores_gemma":[0.00025307294,0.0030802132,0.9141498,0.0015300638,0.00048318633,0.0010708682,0.011718207,0.0059514474,0.0047209086,0.0048899045,0.052029748,0.00012258564],"about_ca_topic_score_codex":0.0013077571,"about_ca_topic_score_gemma":0.0028567635,"teacher_disagreement_score":0.005516277,"about_ca_system_score_codex":0.0013002533,"about_ca_system_score_gemma":0.0024314807,"threshold_uncertainty_score":0.018453836},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W3092445543","doi":"10.5430/ijfr.v11n5p450","title":"Cross Section Analysis of the KBW Nasdaq Financial Technology Index","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Financial services; Asset management; Business; Finance; Financial analysis; Stock market index; Economics; Financial market; Stock market; Accounting","score_opus":0.04757602710916225,"score_gpt":0.3515623606590748,"score_spread":0.30398633354991256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092445543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98835063,0.00022244269,0.00038659558,0.00013405259,0.000023253431,0.000031542313,0.0061844527,0.00002527289,0.0046417885],"genre_scores_gemma":[0.9824242,0.00018004401,0.000491448,0.000046923724,0.000039123173,0.000048889182,0.012824765,0.00001224611,0.0039323783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989109,0.00011052969,0.00009592588,0.00015158622,0.0005620221,0.00016890484],"domain_scores_gemma":[0.99483466,0.00095803174,0.00191806,0.00020775716,0.00168919,0.0003922575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013179146,0.00027832243,0.00025952913,0.0044074235,0.00037137076,0.0008304778,0.00028068238,0.00032943868,0.0036867599],"category_scores_gemma":[0.0032350498,0.000109795285,0.00035439242,0.0043349974,0.00020509135,0.00054928754,0.0005935449,0.0004840458,0.001579919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043864406,0.00004582305,0.98813605,0.000014245333,0.00006705077,0.00014597087,0.000246202,0.0003872058,0.00048801064,0.00026762873,0.0027734386,0.007384566],"study_design_scores_gemma":[5.7296046e-7,0.000024632598,0.9970222,0.0000043270843,0.0000064402143,0.00004745219,0.00030518157,0.0003996464,0.00014013571,0.000026573804,0.002019142,0.0000037165337],"about_ca_topic_score_codex":0.023013456,"about_ca_topic_score_gemma":0.019331891,"teacher_disagreement_score":0.023013456,"about_ca_system_score_codex":0.00073129666,"about_ca_system_score_gemma":0.0005147127,"threshold_uncertainty_score":0.045758963},"labels":[],"label_agreement":null},{"id":"W3092554550","doi":"10.5430/ijfr.v11n5p296","title":"Applying the Process Approach in the Financial Service","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Process (computing); Process management; Lean manufacturing; Work (physics); Quality (philosophy); Service (business); Set (abstract data type); Computer science; Business; Risk analysis (engineering); Operations management; Economics; Marketing; Engineering","score_opus":0.167203863046119,"score_gpt":0.36567757719540345,"score_spread":0.19847371414928444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092554550","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027943958,0.0040948987,0.6641849,0.017089698,0.0010578497,0.00035096993,0.00006393033,0.00023468638,0.28497905],"genre_scores_gemma":[0.7583012,0.0056616613,0.20954579,0.0030103847,0.00067997724,0.0004699908,0.00006644847,0.00011516346,0.022149341],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9904032,0.0059141726,0.00030021914,0.0004410794,0.0023123254,0.0006289753],"domain_scores_gemma":[0.99646485,0.0019070604,0.000287928,0.00031891552,0.0008411918,0.00018008795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073321806,0.0006825257,0.00030689163,0.004972082,0.0025976496,0.007247663,0.0012772755,0.0023078255,0.0038714902],"category_scores_gemma":[0.0060450835,0.00026082824,0.00077065517,0.0041169617,0.011786576,0.008510988,0.0048023085,0.0027769054,0.0006890659],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012654361,0.000026447326,0.0005039814,0.000065810345,0.0000060951197,0.00012929489,0.0017197029,0.0015842872,0.00015905303,0.96621007,0.000750102,0.028832436],"study_design_scores_gemma":[0.000034563032,0.00016702445,0.00118537,0.00040541642,0.000024185052,0.00041468858,0.0038164265,0.010911319,0.0011143899,0.8165361,0.16533807,0.000052387342],"about_ca_topic_score_codex":0.007912598,"about_ca_topic_score_gemma":0.0049965326,"teacher_disagreement_score":0.007912598,"about_ca_system_score_codex":0.007670312,"about_ca_system_score_gemma":0.008424931,"threshold_uncertainty_score":0.05565226},"labels":[],"label_agreement":null},{"id":"W3092562359","doi":"10.5430/ijfr.v11n5p399","title":"Liquidity Management and Financial Performance: Evidence From Commercial Banks in Botswana","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Return on assets; Market liquidity; Return on equity; Business; Weighted average return on assets; Finance; Cash; Assets under management; Financial system; Fixed asset; Economics","score_opus":0.09845994545620435,"score_gpt":0.32572220185019846,"score_spread":0.2272622563939941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092562359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998279,0.0007026689,0.000017787344,0.0002683109,0.000002726776,0.00000393048,0.000077624376,8.292818e-7,0.0006470861],"genre_scores_gemma":[0.9992398,0.00044345725,0.000025481155,0.00005752297,0.0000033810284,0.0000040758996,0.000058092846,5.351232e-7,0.00016771659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996693,0.00010463722,0.000036735913,0.000040303206,0.000059241538,0.000089765],"domain_scores_gemma":[0.9966917,0.0012001379,0.0013520268,0.000082479986,0.00041075042,0.0002628874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922741,0.00016908575,0.0001504361,0.0013904804,0.0006791105,0.001169787,0.00034128543,0.00046643548,0.0013755877],"category_scores_gemma":[0.0037676753,0.00017013289,0.00015540679,0.0023755457,0.0006241145,0.00048919406,0.0006339602,0.00037292947,0.0001700202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106872576,0.00006927436,0.9835683,0.00013902104,0.00003428836,0.00071239995,0.0042218687,0.00007967859,0.00049281976,0.00023663572,0.00024552355,0.010093329],"study_design_scores_gemma":[0.000007649954,0.00005363126,0.99146163,0.0001778112,0.000028378821,0.0003289257,0.0065929876,0.00011382543,0.00010972396,0.0001024871,0.0010167694,0.0000062190716],"about_ca_topic_score_codex":0.04185107,"about_ca_topic_score_gemma":0.07985289,"teacher_disagreement_score":0.04185107,"about_ca_system_score_codex":0.0011519108,"about_ca_system_score_gemma":0.001708443,"threshold_uncertainty_score":0.08321494},"labels":[],"label_agreement":null},{"id":"W3092590821","doi":"10.5430/ijfr.v11n4p475","title":"Audit Committee Chair Attributes and Audit Report Lag in an Emerging Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit committee; Accounting; Audit; Leverage (statistics); Stock exchange; Business; Profitability index; Timeline; Finance; Computer science; Statistics","score_opus":0.04888342927773367,"score_gpt":0.3324363173064722,"score_spread":0.28355288802873857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092590821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958216,0.00031924897,0.0002616606,0.000614246,0.000018139164,0.000014639783,0.000091635135,0.000007880964,0.002850956],"genre_scores_gemma":[0.9994411,0.000059064158,0.000052825893,0.000032870706,0.00002113992,0.0000020833215,0.00004092113,0.0000014821194,0.00034845114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964311,0.0010958592,0.00040813806,0.00036768158,0.0010178727,0.00067935267],"domain_scores_gemma":[0.859508,0.02653875,0.0972118,0.0031715746,0.006019016,0.007550905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008565405,0.00011489129,0.00022005048,0.001461542,0.0006129722,0.0026893662,0.0003918516,0.00041980715,0.005183641],"category_scores_gemma":[0.026437975,0.00011747117,0.00023605321,0.001647853,0.00072351214,0.0017375305,0.00102262,0.0010737021,0.0004359394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010566825,0.00013252076,0.98835605,0.000017968616,0.000019453566,0.00015470774,0.0005826411,0.00018967049,0.00012454577,0.00049195095,0.0005214296,0.009303375],"study_design_scores_gemma":[0.000006575147,0.000107913154,0.99528307,0.000028690509,0.000014436293,0.00013830315,0.0019800747,0.0006367389,0.00016456236,0.00027537727,0.0013551081,0.000009174464],"about_ca_topic_score_codex":0.006225291,"about_ca_topic_score_gemma":0.009149041,"teacher_disagreement_score":0.008565405,"about_ca_system_score_codex":0.0010696469,"about_ca_system_score_gemma":0.0017750214,"threshold_uncertainty_score":0.045298755},"labels":[],"label_agreement":null},{"id":"W3092957675","doi":"10.5430/ijfr.v11n4p462","title":"Factors Used to Determine the Financing Structure for Shareholding Companies Listed in Amman Stock Exchange in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pecking order theory; Capital structure; Stock exchange; Profitability index; Finance; Principal–agent problem; Order (exchange); Business; Panel data; Pecking order; Stock market; Speculation; Economics; Information asymmetry; Financial economics; Econometrics; Debt; Corporate governance","score_opus":0.1910101870326952,"score_gpt":0.3697236268075074,"score_spread":0.17871343977481222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092957675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996738,0.00020003687,0.00015588696,0.00016993625,0.0000047737126,0.00002764343,0.00036305137,0.0000038762996,0.0023368208],"genre_scores_gemma":[0.99814236,0.00011502601,0.00029287327,0.000015840627,0.000011076959,0.000011859851,0.0005064425,0.0000011841242,0.00090336666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942786,0.000089360285,0.000103875376,0.00006113412,0.0002408716,0.000076834694],"domain_scores_gemma":[0.99349546,0.0011716662,0.0035201244,0.00017825482,0.0011734207,0.00046103075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001167107,0.00024931904,0.00014787457,0.0022759347,0.00040044307,0.0012150557,0.0002586845,0.00026437268,0.004607013],"category_scores_gemma":[0.005104194,0.00008674026,0.00028471358,0.0014984822,0.00029420276,0.0007263709,0.00043613228,0.00026934763,0.00040038943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017992086,0.000023540495,0.99057615,0.000017987248,0.000019156365,0.000076729964,0.00019480176,0.00014409248,0.00011265502,0.0001705772,0.00027740037,0.0083688],"study_design_scores_gemma":[0.000002713949,0.000045378394,0.99660265,0.000027759657,0.00001152192,0.00007277697,0.0011296228,0.0004873369,0.00016544787,0.0001614292,0.0012891595,0.00000430461],"about_ca_topic_score_codex":0.004021972,"about_ca_topic_score_gemma":0.0060789655,"teacher_disagreement_score":0.004607013,"about_ca_system_score_codex":0.0007759609,"about_ca_system_score_gemma":0.0009458186,"threshold_uncertainty_score":0.015412033},"labels":[],"label_agreement":null},{"id":"W3097139233","doi":"10.5430/ijfr.v11n4p453","title":"Investor Decision in Estimating the Effect of Earning Persistence, Financial Leverage, Foreign Ownership Toward Company Reputation and Company Value","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reputation; Leverage (statistics); Business; Stock exchange; Foreign ownership; Free cash flow; Finance; Accounting; Cash flow; Economics; Foreign direct investment","score_opus":0.10123992354192637,"score_gpt":0.3266373644121042,"score_spread":0.22539744087017785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097139233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951154,0.0002334863,0.00295465,0.00014582787,0.000008450021,0.00002147229,0.00018128383,0.00001034424,0.0013290403],"genre_scores_gemma":[0.99820435,0.00006849665,0.0010236775,0.000013616307,0.000006638844,0.000013060689,0.00021837826,0.0000013872059,0.0004503545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826187,0.000940002,0.00014845854,0.0002367971,0.00022748482,0.00018535598],"domain_scores_gemma":[0.9891412,0.008193001,0.0016702823,0.00033349465,0.00034520958,0.00031681143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046651624,0.000334876,0.00035391873,0.00074966147,0.00029076397,0.0012089435,0.0002475716,0.000513517,0.0016403041],"category_scores_gemma":[0.012407572,0.00016696613,0.0006134003,0.0006283167,0.00025730924,0.00082445185,0.00046158629,0.00057365216,0.00022981041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008296799,0.0000647814,0.9879417,0.00001648769,0.00009701763,0.0001250472,0.0001227506,0.0020299286,0.00017814503,0.00030861853,0.00012808613,0.008904487],"study_design_scores_gemma":[0.000021896754,0.00054984144,0.9575429,0.00006588963,0.00022346749,0.00022465985,0.0011349703,0.036494162,0.0016968352,0.0009495371,0.001070666,0.00002514374],"about_ca_topic_score_codex":0.004963439,"about_ca_topic_score_gemma":0.0057057478,"teacher_disagreement_score":0.004963439,"about_ca_system_score_codex":0.00041845808,"about_ca_system_score_gemma":0.00054870953,"threshold_uncertainty_score":0.024672031},"labels":[],"label_agreement":null},{"id":"W3097587936","doi":"10.5430/ijfr.v11n4p493","title":"The Effects of Managerial Ownership, Institutional Ownership, and Profitability on Capital Structure: Firm Size as the Moderating Variable","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Stock exchange; Capital structure; Descriptive statistics; Nonprobability sampling; Capital call; Variables; Accounting; Population; Economics; Finance; Human capital; Statistics; Economic capital; Market economy","score_opus":0.028304363647189343,"score_gpt":0.28271096609419766,"score_spread":0.2544066024470083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097587936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99539584,0.0005349164,0.0004544964,0.00032662554,0.000027036416,0.00004814856,0.00015516316,0.0000076226843,0.0030499932],"genre_scores_gemma":[0.9987639,0.000102755526,0.00022471884,0.00005969928,0.000014778257,0.000029914972,0.00008748729,0.0000032955822,0.00071356405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965204,0.0015864457,0.00017017823,0.0005236722,0.00045302854,0.00074618374],"domain_scores_gemma":[0.981232,0.011048395,0.0037667048,0.0005656532,0.00094949594,0.0024377902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025520374,0.0006198109,0.00053697586,0.0008265301,0.0007044899,0.0015255713,0.000605252,0.000764626,0.0060895626],"category_scores_gemma":[0.00979953,0.00023197774,0.00077390985,0.0006462036,0.0009912782,0.0013101022,0.0021437644,0.0012946418,0.00032954232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041928448,0.0003916715,0.98738074,0.000066531466,0.00050235697,0.00034424188,0.0010090837,0.00030611389,0.0006898285,0.0010995646,0.00030228798,0.0074882675],"study_design_scores_gemma":[0.000022967912,0.0005792609,0.9939779,0.00007002142,0.0004596001,0.000097854885,0.0017095892,0.000816186,0.0005619111,0.00060895714,0.0010827588,0.000012987271],"about_ca_topic_score_codex":0.006279783,"about_ca_topic_score_gemma":0.009633207,"teacher_disagreement_score":0.006279783,"about_ca_system_score_codex":0.0011102469,"about_ca_system_score_gemma":0.0020454738,"threshold_uncertainty_score":0.020371616},"labels":[],"label_agreement":null},{"id":"W3106938342","doi":"10.5430/ijfr.v11n6p177","title":"Sources of Financing High-Tech Projects","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"High tech; Subsidy; Business; Finance; Cash; Industrial organization; Economics; Market economy","score_opus":0.13905675219392438,"score_gpt":0.4094002298169162,"score_spread":0.2703434776229918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106938342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47021192,0.019855112,0.038514208,0.008681007,0.00060149125,0.00075875793,0.011066679,0.0008788736,0.449432],"genre_scores_gemma":[0.93177724,0.011758357,0.0076174163,0.00016795403,0.00041837798,0.00028934242,0.006574908,0.00010496291,0.041291326],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971064,0.00059834647,0.00017902745,0.00018521718,0.0013724529,0.000558615],"domain_scores_gemma":[0.99259335,0.002096033,0.0020213255,0.00073543866,0.0017257748,0.00082796084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027338138,0.00043393002,0.00026385594,0.0069981967,0.0008996286,0.0038675368,0.0011747467,0.000744385,0.012493646],"category_scores_gemma":[0.010621198,0.00032220237,0.00042063097,0.004618391,0.0004682649,0.0015791376,0.0023486821,0.000988384,0.0023857073],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002860513,0.00042602338,0.13730414,0.0013265364,0.00025482944,0.0015706528,0.0016750953,0.008226138,0.0017522566,0.38056296,0.030966902,0.43564847],"study_design_scores_gemma":[0.0001415345,0.00035770156,0.21391776,0.002038227,0.00018487926,0.0034584147,0.002594198,0.007295264,0.004683516,0.04261995,0.7226126,0.00009591199],"about_ca_topic_score_codex":0.0019866393,"about_ca_topic_score_gemma":0.0016641191,"teacher_disagreement_score":0.012493646,"about_ca_system_score_codex":0.0021239615,"about_ca_system_score_gemma":0.0048031243,"threshold_uncertainty_score":0.041795373},"labels":[],"label_agreement":null},{"id":"W3107018047","doi":"10.5430/ijfr.v11n6p165","title":"Literature Review: Game Based Pedagogy in Accounting Education","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Accounting; Class (philosophy); Mathematics education; Nexus (standard); Pedagogy; Psychology; Computer science; Business","score_opus":0.0491714321760771,"score_gpt":0.40832961970876797,"score_spread":0.35915818753269085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107018047","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010827457,0.9926884,0.00036389477,0.0010752417,0.00027317405,0.00003690858,0.00005534888,0.000013498171,0.004410854],"genre_scores_gemma":[0.0118709775,0.98582816,0.0006426836,0.0008214156,0.00017410882,0.00005276686,0.000075988195,0.000007281025,0.0005266155],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99832934,0.0006510904,0.00025506213,0.00014777908,0.0005379876,0.000078769284],"domain_scores_gemma":[0.9858496,0.012189362,0.00058973196,0.00014775393,0.0010772407,0.00014636801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018264174,0.0009222742,0.0013378622,0.007625874,0.0006575988,0.003070746,0.0011314717,0.0018344406,0.0067917495],"category_scores_gemma":[0.010973644,0.0004533339,0.0010419446,0.008839886,0.0009436457,0.0030993917,0.00089581916,0.0013964708,0.0011168156],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118414864,0.00020848738,0.001266474,0.15890309,0.0002739415,0.0003534591,0.0012582095,0.0007005482,0.00036205756,0.011366005,0.026701748,0.79848754],"study_design_scores_gemma":[0.00005765249,0.00028371596,0.010174023,0.34506097,0.001424348,0.0020628457,0.004167049,0.00068915536,0.0007525871,0.008509447,0.6267491,0.00006920786],"about_ca_topic_score_codex":0.003553191,"about_ca_topic_score_gemma":0.0061358814,"teacher_disagreement_score":0.007625874,"about_ca_system_score_codex":0.0016028549,"about_ca_system_score_gemma":0.004711157,"threshold_uncertainty_score":0.022720635},"labels":[],"label_agreement":null},{"id":"W3107443387","doi":"10.5430/ijfr.v11n6p116","title":"The Justice of Tax Amnesty and Tax Compliance: Empirical Study in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Procedural justice; Tax credit; Retributive justice; Compliance (psychology); Distributive justice; Economic Justice; Amnesty; Public economics; Economics; Business; Political science; Psychology; Social psychology; Law; Perception; Microeconomics; Politics","score_opus":0.27154495674280954,"score_gpt":0.4285932212299567,"score_spread":0.15704826448714715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107443387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986713,0.000036018184,0.000050203696,0.00009270208,0.0000024412914,0.000008326748,0.000014524365,8.5900143e-7,0.0011235785],"genre_scores_gemma":[0.9995555,0.000066524946,0.00005530159,0.000025920519,0.000004139459,0.000005354693,0.000022145363,0.0000011254228,0.0002639852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794084,0.000757859,0.00019294528,0.00016403687,0.0005210993,0.00042325543],"domain_scores_gemma":[0.9857013,0.005239949,0.0063523436,0.00038565305,0.0007738004,0.0015469936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024745057,0.00018834903,0.00038870424,0.0008886623,0.001128144,0.001906877,0.00053445925,0.00048539243,0.0027014192],"category_scores_gemma":[0.007765032,0.00025193536,0.000451481,0.001589219,0.0012710782,0.0010692272,0.0009221674,0.0018375962,0.0003410654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007207009,0.0015404851,0.98465616,0.000033125303,0.000031161373,0.0005003076,0.0052937088,0.0002066761,0.00014639605,0.0005613299,0.00026721088,0.0066913455],"study_design_scores_gemma":[0.0000064738697,0.00012424272,0.98434746,0.00003313662,0.000024126792,0.00019097453,0.0130894,0.0014796862,0.00012869261,0.00013203865,0.0004338317,0.00000996252],"about_ca_topic_score_codex":0.022539394,"about_ca_topic_score_gemma":0.023458872,"teacher_disagreement_score":0.022539394,"about_ca_system_score_codex":0.0016298991,"about_ca_system_score_gemma":0.0023686555,"threshold_uncertainty_score":0.044816434},"labels":[],"label_agreement":null},{"id":"W3107648520","doi":"10.5430/ijfr.v11n6p137","title":"Αn Eclectic Discussion of the Effects of COVID-19 Pandemic on the World Economy During the First Stage of the Spread","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Coronavirus disease 2019 (COVID-19); Industrialisation; Pandemic; Resilience (materials science); Business; World economy; Economic impact analysis; Psychological resilience; Development economics; Economics; Economic policy; Economic growth; Market economy; Political science","score_opus":0.0956729844707056,"score_gpt":0.3590870738056025,"score_spread":0.2634140893348969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107648520","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01025711,0.09742917,0.02151755,0.53042066,0.011395726,0.00006055127,0.00034792235,0.000042982138,0.32852829],"genre_scores_gemma":[0.4399791,0.19556825,0.013959993,0.23577444,0.03490583,0.0003123205,0.00023611695,0.00014087105,0.07912304],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976616,0.001458963,0.000078597186,0.0001568557,0.00043848858,0.00020546884],"domain_scores_gemma":[0.9964115,0.002929268,0.00020311963,0.00008113988,0.00028397085,0.00009100955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038639435,0.00044941652,0.00033882743,0.002334184,0.0024333585,0.0041853767,0.0011550995,0.0041572032,0.006088792],"category_scores_gemma":[0.00658066,0.00016192703,0.0005659563,0.0021218744,0.0061899647,0.006531977,0.0019580417,0.005248987,0.0007911168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012805345,0.000013520213,0.00044904652,0.00014007762,0.0000069979315,0.00016048463,0.0015318881,0.00044325474,0.000079351084,0.9589944,0.030364068,0.0078040822],"study_design_scores_gemma":[0.000005164394,0.000034034856,0.00141203,0.0009501458,0.000006008861,0.00032794502,0.0031016706,0.00082003,0.0001383771,0.3404414,0.6527353,0.000027837234],"about_ca_topic_score_codex":0.0048390813,"about_ca_topic_score_gemma":0.005066907,"teacher_disagreement_score":0.006088792,"about_ca_system_score_codex":0.0032239489,"about_ca_system_score_gemma":0.0020004495,"threshold_uncertainty_score":0.023391545},"labels":[],"label_agreement":null},{"id":"W3108458474","doi":"10.5430/ijfr.v11n6p46","title":"The Simultaneous Effect of Corporate Ownership on Dividends and Capital Structure: Malaysian Evidence","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Endogeneity; Capital structure; Dividend; Corporate governance; Dividend policy; Foreign ownership; Business; Simultaneous equations model; Economics; Monetary economics; Corporate finance; Accounting; Financial economics; Econometrics; Foreign direct investment; Finance; Macroeconomics","score_opus":0.07586483557785022,"score_gpt":0.32084815416709916,"score_spread":0.24498331858924893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108458474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99267817,0.0026050014,0.00028027326,0.00043651118,0.00001017898,0.0000062556414,0.0002472318,0.0000033132208,0.0037329928],"genre_scores_gemma":[0.9982913,0.0010030215,0.000097577875,0.000029287325,0.000011881083,0.0000014384784,0.00013308458,0.0000012354494,0.00043117252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987239,0.00034893706,0.00011270504,0.0003238069,0.00030459688,0.0001860444],"domain_scores_gemma":[0.9851569,0.006594876,0.005883436,0.00069106586,0.0010053832,0.0006684193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019810898,0.00038323805,0.00037122265,0.0012354513,0.0004079212,0.0013161696,0.0005097781,0.0004369804,0.0030729263],"category_scores_gemma":[0.005760689,0.0002448222,0.000682743,0.0014046545,0.0010366446,0.0013760817,0.0010671655,0.0007079415,0.00039441712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007066981,0.000048526064,0.9865861,0.00006709874,0.00021174767,0.00025177764,0.00043030927,0.00028561644,0.00011610752,0.0009933177,0.00017460313,0.010764028],"study_design_scores_gemma":[0.000004863973,0.000087311426,0.9947659,0.00010767743,0.00019181376,0.00016225582,0.0011021417,0.0012727568,0.00041486655,0.00038422013,0.0014953059,0.000010891672],"about_ca_topic_score_codex":0.02668809,"about_ca_topic_score_gemma":0.030627927,"teacher_disagreement_score":0.02668809,"about_ca_system_score_codex":0.00093185523,"about_ca_system_score_gemma":0.0010144709,"threshold_uncertainty_score":0.05306554},"labels":[],"label_agreement":null},{"id":"W3108684384","doi":"10.5430/ijfr.v11n6p188","title":"Co-integration and Causal Relationships: The Case of the Jordanian and Developed Stock Markets","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Economics; Capital market; Diversification (marketing strategy); Stock exchange; Financial economics; Stock market; Error correction model; Financial market; Portfolio; Stock market bubble; Econometrics; Cointegration; Monetary economics; Business; Finance","score_opus":0.13989035414922096,"score_gpt":0.354833934009686,"score_spread":0.21494357986046503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108684384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885952,0.0013971911,0.0030862647,0.0011351513,0.000013244193,0.00003134702,0.0001683831,0.000013108357,0.005560091],"genre_scores_gemma":[0.9985638,0.00029191337,0.0004983573,0.000036948157,0.000019928862,0.0000082726965,0.00008784385,0.0000022074655,0.00049079733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894005,0.0004533626,0.00006718619,0.00019405107,0.00013456648,0.00021086857],"domain_scores_gemma":[0.9914375,0.0035714046,0.0031829593,0.00056181604,0.00082309486,0.00042335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002377376,0.0002683321,0.0005185871,0.0021398468,0.0008737856,0.0034441054,0.0006831936,0.0010432648,0.003635484],"category_scores_gemma":[0.012758911,0.00022554597,0.00062417844,0.0032183225,0.0012478456,0.0026462045,0.0017072879,0.0010433333,0.00017489736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002728196,0.00023882961,0.81431776,0.00012394453,0.0005256657,0.00471707,0.0039748526,0.016966544,0.00038116245,0.122353725,0.0014112041,0.034716398],"study_design_scores_gemma":[0.00017397603,0.0001517621,0.6348071,0.00020684235,0.0005384085,0.0018962846,0.012385635,0.20914459,0.0008003137,0.12838383,0.011399936,0.00011130643],"about_ca_topic_score_codex":0.028925389,"about_ca_topic_score_gemma":0.017884089,"teacher_disagreement_score":0.028925389,"about_ca_system_score_codex":0.0011836535,"about_ca_system_score_gemma":0.0013402802,"threshold_uncertainty_score":0.05751407},"labels":[],"label_agreement":null},{"id":"W3108760867","doi":"10.5430/ijfr.v11n6p196","title":"The Role of Zakat in Establishing Social Welfare and Economic Sustainability: The Case of Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Poverty; Welfare; Context (archaeology); Social sustainability; Economic growth; Islam; Empirical research; Political science; Public economics; Development economics; Business; Economics; Geography; Law","score_opus":0.022858441508563615,"score_gpt":0.3110335416003234,"score_spread":0.28817510009175984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108760867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95463663,0.0017067995,0.0007049289,0.00554335,0.00004871799,0.000026806896,0.00001397464,0.0000048636266,0.03731388],"genre_scores_gemma":[0.9965224,0.00078150263,0.0002552287,0.00030795086,0.0000072539783,0.0000035003927,0.0000045690444,0.0000020165828,0.0021156163],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9985827,0.0008246045,0.00004579559,0.00005580596,0.00012447771,0.0003665218],"domain_scores_gemma":[0.9989827,0.00036012605,0.00016138013,0.0000611848,0.00020751421,0.00022703444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001836803,0.0003196482,0.0002101428,0.00079698546,0.01437899,0.00496763,0.0007487529,0.0022870621,0.0022548384],"category_scores_gemma":[0.0015857839,0.00020999399,0.0002529595,0.0008987906,0.008273507,0.0024530152,0.004059507,0.002049877,0.00025378447],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016597175,0.00018861073,0.025296753,0.00028206184,0.00004063928,0.023722317,0.60670394,0.0012189442,0.0025440715,0.30697387,0.00262982,0.030232968],"study_design_scores_gemma":[0.000022490427,0.000093061055,0.017587945,0.0005893563,0.00006440706,0.0041145114,0.83013237,0.0019436788,0.001509514,0.014683227,0.12920088,0.000058627083],"about_ca_topic_score_codex":0.059377756,"about_ca_topic_score_gemma":0.09573129,"teacher_disagreement_score":0.059377756,"about_ca_system_score_codex":0.0084182145,"about_ca_system_score_gemma":0.005672145,"threshold_uncertainty_score":0.118064284},"labels":[],"label_agreement":null},{"id":"W3108806234","doi":"10.5430/ijfr.v11n6p203","title":"Sharia Financial Technology in the Development of Bankable Micro Businesses","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Communication","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Lampung","keywords":"Financial services; Financial inclusion; Islam; Business; FinTech; Finance; Business model; Service (business); Financial system; Marketing","score_opus":0.12648389473836896,"score_gpt":0.43740004035903945,"score_spread":0.3109161456206705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108806234","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40452766,0.007988364,0.0031798584,0.039972417,0.0005746564,0.00013381691,0.0001646155,0.00009718199,0.54336137],"genre_scores_gemma":[0.96135604,0.0032457444,0.0013093299,0.0010387981,0.00009739689,0.000037679383,0.000027053647,0.000008596151,0.03287939],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993895,0.00018526423,0.000026280817,0.00005596232,0.0001444709,0.00019833347],"domain_scores_gemma":[0.9986992,0.00030551036,0.0002627728,0.00004954104,0.00019271734,0.0004901752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009362904,0.00017420233,0.00007697606,0.0011027923,0.0019469832,0.004013359,0.0002748045,0.0008560573,0.017000817],"category_scores_gemma":[0.0018832935,0.00012159787,0.0001103336,0.0008536673,0.0015993416,0.0028856888,0.002058047,0.0012430642,0.0020210354],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013312158,0.00045152518,0.055443663,0.000414088,0.000016928932,0.0026847392,0.019317443,0.00052764785,0.0024055382,0.5340948,0.04418407,0.3403264],"study_design_scores_gemma":[0.000038998627,0.00034205557,0.10469398,0.0011033416,0.000023348342,0.0023907518,0.03228652,0.0014879657,0.0031021987,0.051577676,0.8029015,0.000051688294],"about_ca_topic_score_codex":0.0015386392,"about_ca_topic_score_gemma":0.0025300581,"teacher_disagreement_score":0.017000817,"about_ca_system_score_codex":0.0015905467,"about_ca_system_score_gemma":0.0028185865,"threshold_uncertainty_score":0.05687344},"labels":[],"label_agreement":null},{"id":"W3108892471","doi":"10.5430/ijfr.v11n6p219","title":"Strategic Management System of the Territory as a Factor of Increasing Its Competitiveness Level in Financial Organizations","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Development and Regional Competitiveness","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Business; Russian federation; Proposition; Strategic financial management; Strategic planning; Strategic management; Industrial organization; Factor (programming language); Process management; Finance; Accounting; Marketing; Computer science; Economic policy","score_opus":0.15086545109717167,"score_gpt":0.31357278914718895,"score_spread":0.16270733805001728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108892471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8972518,0.00026312703,0.0077851047,0.0006547483,0.000010432076,0.000037020985,0.000064689375,0.000018495748,0.09391462],"genre_scores_gemma":[0.9984334,0.00004779619,0.00092134846,0.000011130177,0.0000023998332,0.0000054872944,0.000019630583,0.0000015198987,0.00055721606],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992908,0.00027340552,0.000030445297,0.00007101639,0.00019661002,0.00013768724],"domain_scores_gemma":[0.9987067,0.0003420578,0.0002974569,0.000045681572,0.00029142882,0.0003167448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007984358,0.00012399636,0.00013032228,0.0009843165,0.000771165,0.002212102,0.00015661068,0.00022101606,0.0025627948],"category_scores_gemma":[0.0017351989,0.00006159842,0.00013947638,0.0010034159,0.0011137781,0.0008055081,0.0010794285,0.00029929343,0.00014580625],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114976145,0.00012026929,0.5134408,0.00020255698,0.0001300606,0.0007128218,0.008754953,0.008464395,0.008953438,0.342771,0.0019290583,0.11440565],"study_design_scores_gemma":[0.00001229787,0.00021315213,0.9293476,0.00010185957,0.00010564926,0.0003625072,0.014972826,0.0064640143,0.0020944315,0.028713772,0.01758017,0.000031678792],"about_ca_topic_score_codex":0.0071207103,"about_ca_topic_score_gemma":0.01054707,"teacher_disagreement_score":0.0071207103,"about_ca_system_score_codex":0.001397436,"about_ca_system_score_gemma":0.0029718082,"threshold_uncertainty_score":0.014158487},"labels":[],"label_agreement":null},{"id":"W3108990561","doi":"10.5430/ijfr.v11n6p25","title":"Behavioral Bias in Individual Investment Decisions: Is It a Common Phenomenon in Stock Markets?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Loss aversion; Overconfidence effect; Representativeness heuristic; Behavioral economics; Regret; Investment decisions; Stock exchange; Stock market; Stock (firearms); Economics; Business; Econometrics; Financial economics; Actuarial science; Microeconomics; Finance; Psychology","score_opus":0.42228292829587555,"score_gpt":0.4180866609516516,"score_spread":0.004196267344223958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108990561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997957,0.00014729041,0.00087208266,0.00014453428,0.0000057873617,0.000014670687,0.000029742256,0.000003747018,0.00082497945],"genre_scores_gemma":[0.99937695,0.000068048175,0.00038573358,0.00005943685,0.00000862269,0.000006695471,0.000030361918,0.0000015641479,0.00006261585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673814,0.001489317,0.00030004446,0.00031567458,0.00091782346,0.00023913078],"domain_scores_gemma":[0.9544395,0.02478117,0.015784208,0.0025402745,0.0014733814,0.0009813723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059614275,0.00016719919,0.0003878222,0.00095399603,0.00034004482,0.0011038922,0.0003179965,0.0006060503,0.0009377764],"category_scores_gemma":[0.025956502,0.00018255433,0.00029353987,0.00087489316,0.00089091115,0.00094488775,0.0005528811,0.0006570588,0.00012490073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007056978,0.00011702716,0.9837249,0.000028073875,0.000080208534,0.000058185014,0.0016806073,0.00013448397,0.0004061041,0.0003201861,0.00005157006,0.013327985],"study_design_scores_gemma":[0.000004395482,0.00012640229,0.99613464,0.000020957077,0.000029519737,0.00014154686,0.0015041942,0.0008480974,0.000228616,0.00067688734,0.00027115134,0.000013627618],"about_ca_topic_score_codex":0.0018497619,"about_ca_topic_score_gemma":0.0036541857,"teacher_disagreement_score":0.0059614275,"about_ca_system_score_codex":0.0004303601,"about_ca_system_score_gemma":0.00047420926,"threshold_uncertainty_score":0.03152746},"labels":[],"label_agreement":null},{"id":"W3109034357","doi":"10.5430/ijfr.v11n6p211","title":"Firm Performance and Corporate Social Environmental Initiatives in the Wake of a Health Pandemic","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Pandemic; Stock exchange; Accounting; Stakeholder; Coronavirus disease 2019 (COVID-19); Panel analysis; Sample (material); Panel data; Economics; Finance; Management","score_opus":0.18457964602101928,"score_gpt":0.3741748827146884,"score_spread":0.18959523669366912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109034357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632806,0.00014897448,0.000042298,0.0006624346,0.00001839618,0.0000063106504,0.00010475936,0.0000025399427,0.0026862628],"genre_scores_gemma":[0.99942636,0.00006145535,0.000014143145,0.00002182555,0.000015790703,0.0000015071122,0.000077600576,4.911788e-7,0.00038076018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899966,0.00023203454,0.000082650324,0.00009832751,0.00026781412,0.00031945275],"domain_scores_gemma":[0.9812835,0.0040835817,0.010786995,0.00034117565,0.0014072859,0.002097437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019002345,0.000168528,0.00015031722,0.0011172822,0.00058051816,0.00218129,0.00029221605,0.0006503351,0.0019071184],"category_scores_gemma":[0.007049559,0.00008151684,0.00024085656,0.0015199005,0.00053922203,0.0011271418,0.00093870127,0.001011592,0.00027726305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048760852,0.00012318666,0.9923689,0.000015392778,0.000042718504,0.00024545344,0.00058024435,0.00053649116,0.00016802333,0.0005395302,0.00047543357,0.0048558484],"study_design_scores_gemma":[0.0000015966222,0.000114924085,0.99540037,0.000014062401,0.000012010018,0.000042785545,0.0028250422,0.0006325417,0.00016106156,0.0001318002,0.00065643934,0.000007383946],"about_ca_topic_score_codex":0.009035983,"about_ca_topic_score_gemma":0.014959608,"teacher_disagreement_score":0.009035983,"about_ca_system_score_codex":0.0012383567,"about_ca_system_score_gemma":0.0008671523,"threshold_uncertainty_score":0.017966747},"labels":[],"label_agreement":null},{"id":"W3109196670","doi":"10.5430/ijfr.v11n6p10","title":"The Effect of Board of Directors and Audit Committee Characteristics on Company Performance in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit committee; Accounting; Audit; Business; Chief audit executive; Internal audit; Joint audit","score_opus":0.03377318936651817,"score_gpt":0.29833699048328044,"score_spread":0.26456380111676225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109196670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980544,0.00018985945,0.00003346926,0.0001079647,0.0000052114965,0.000006731641,0.000080313315,0.000002809893,0.0015193024],"genre_scores_gemma":[0.9988005,0.00011220971,0.000042200285,0.00002590156,0.000013854549,0.00000469798,0.00015374387,0.0000018308151,0.00084496214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972734,0.00095029926,0.0002168462,0.00026440574,0.00081772264,0.0004774091],"domain_scores_gemma":[0.97373337,0.0054185204,0.011059854,0.0006597782,0.0056714867,0.003457032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037721505,0.0001749936,0.00023579765,0.0014131389,0.0004479587,0.001654577,0.00033740216,0.00031146305,0.0023648962],"category_scores_gemma":[0.008612132,0.00012543902,0.00022832374,0.0015833299,0.00048081737,0.0007537934,0.00072080264,0.00038932782,0.00054528157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012939978,0.00015668246,0.9887838,0.000023063967,0.000036915808,0.0001084054,0.0005899827,0.0002950322,0.00022720051,0.000100267214,0.00042040178,0.009128883],"study_design_scores_gemma":[0.000004232749,0.00017997283,0.9966942,0.000011714566,0.0000097776165,0.000042130938,0.0018628039,0.00021854836,0.00012307598,0.000028786862,0.00081854523,0.0000062300323],"about_ca_topic_score_codex":0.007496469,"about_ca_topic_score_gemma":0.011745137,"teacher_disagreement_score":0.007496469,"about_ca_system_score_codex":0.0011770193,"about_ca_system_score_gemma":0.0015153721,"threshold_uncertainty_score":0.019949317},"labels":[],"label_agreement":null},{"id":"W3109228873","doi":"10.5430/ijfr.v11n6p37","title":"The Impact and Contribution of FDI to Saudi Economy During King Abdullah Regime","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Socioeconomic Development in MENA","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Incentive; Repatriation; Capital (architecture); Language change; Investment (military); Government (linguistics); Business; International economics; Politics; Economics; Economic policy; Market economy; Macroeconomics; Political science","score_opus":0.05548535226852687,"score_gpt":0.427744203106728,"score_spread":0.37225885083820115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109228873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930588,0.0004557443,0.000017981854,0.00044775795,0.000007818209,0.000003493783,0.00019242958,0.0000014448035,0.005814601],"genre_scores_gemma":[0.99782604,0.0004903767,0.000014320258,0.000018941935,0.0000050229874,8.696114e-7,0.00008401158,3.9967097e-7,0.0015600771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997291,0.000044301778,0.000018384942,0.000014839945,0.000064427426,0.00012897514],"domain_scores_gemma":[0.9992188,0.00012591042,0.00022031597,0.000026068512,0.00029410905,0.00011470091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026892862,0.00012923157,0.00008599196,0.00063542044,0.00036115324,0.0009164054,0.00015539996,0.0002564694,0.0019856591],"category_scores_gemma":[0.0012572824,0.000055617293,0.00018574907,0.0007385246,0.00030881408,0.00026537396,0.0005683126,0.00035755697,0.00020084956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003080989,0.00007681017,0.9470971,0.000119483135,0.00007472616,0.0021263915,0.0029575266,0.0029346608,0.0018069509,0.005711693,0.0014488206,0.035337817],"study_design_scores_gemma":[0.000005606308,0.000065269945,0.98294985,0.00007351358,0.000037854978,0.00045430678,0.006200394,0.0015158108,0.0008174426,0.00031856133,0.0075498056,0.000011520523],"about_ca_topic_score_codex":0.08418099,"about_ca_topic_score_gemma":0.101196945,"teacher_disagreement_score":0.08418099,"about_ca_system_score_codex":0.0022140404,"about_ca_system_score_gemma":0.0012740125,"threshold_uncertainty_score":0.167382},"labels":[],"label_agreement":null},{"id":"W3109357963","doi":"10.5430/ijfr.v11n6p63","title":"Modeling the Effectiveness of Employee Compensation Based on Financial Resources","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Remuneration; Incentive; Compensation (psychology); Payment; Ordinary least squares; Regression analysis; Linear regression; Business; Work (physics); Accounting; Econometrics; Actuarial science; Economics; Computer science; Microeconomics; Finance; Engineering; Psychology","score_opus":0.05927734307450977,"score_gpt":0.2989545023529083,"score_spread":0.23967715927839855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109357963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8237874,0.0005815354,0.16156548,0.00069250696,0.000034088076,0.00017710763,0.00040011553,0.00018930985,0.012572408],"genre_scores_gemma":[0.9874973,0.0001809777,0.009008078,0.000018737965,0.000010265421,0.00008369685,0.00012408546,0.000014001815,0.003062926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984586,0.0007888595,0.00005910189,0.00022046854,0.00022762234,0.00024533478],"domain_scores_gemma":[0.99628216,0.0025788608,0.0006298602,0.00010000211,0.000276721,0.00013250059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002936025,0.0007328448,0.00044776825,0.0011464449,0.00021490802,0.0015918525,0.00086497446,0.00086380943,0.0018573295],"category_scores_gemma":[0.006814834,0.00025717312,0.0005715219,0.0010124418,0.00043203204,0.0013021786,0.0006166521,0.0005186561,0.00025912118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097243515,0.0001823243,0.027211346,0.0000505252,0.00009119062,0.00008842848,0.00012578943,0.9404946,0.000742192,0.011676436,0.00027603784,0.018963918],"study_design_scores_gemma":[0.000007487986,0.00008782796,0.009707105,0.0000149317275,0.00003459406,0.000017151746,0.000061849045,0.98734087,0.0003007168,0.0020698311,0.00034531846,0.000012306763],"about_ca_topic_score_codex":0.0130802365,"about_ca_topic_score_gemma":0.0085640615,"teacher_disagreement_score":0.0130802365,"about_ca_system_score_codex":0.0018089897,"about_ca_system_score_gemma":0.0015818698,"threshold_uncertainty_score":0.026008189},"labels":[],"label_agreement":null},{"id":"W3109921273","doi":"10.5430/ijfr.v11n6p154","title":"Financial Statement Fraud Detection With Beneish M-Score and Dechow F-Score Model: An Empirical Analysis of Fraud Pentagon Theory in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial statement; Business; Accounting; Empirical research; Cheating; Empirical evidence; Actuarial science; Audit; Finance; Psychology","score_opus":0.08763675898847997,"score_gpt":0.34581196899861094,"score_spread":0.258175210010131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109921273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860049,0.000121098725,0.010475546,0.00028283027,0.000019081861,0.000059980815,0.00016416001,0.000058595164,0.0028139174],"genre_scores_gemma":[0.9968822,0.000026450134,0.0024396596,0.000016517284,0.0000071259874,0.00001640828,0.0001396101,0.0000049170976,0.0004671185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964833,0.0017040048,0.00019748702,0.00047932242,0.0007373209,0.0003986058],"domain_scores_gemma":[0.9818366,0.013104906,0.0020919542,0.0010803981,0.0013426584,0.0005435415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007992375,0.00057979295,0.0008405937,0.002479718,0.0008604242,0.0020112703,0.0009390327,0.00087562867,0.0024939752],"category_scores_gemma":[0.021710603,0.00019098191,0.0012166098,0.0016569006,0.0010267142,0.0017247251,0.0010399821,0.0017484266,0.00048006422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068595994,0.0008273005,0.8796741,0.00007756981,0.0002539127,0.0006003376,0.00096231076,0.027445398,0.0005129255,0.0068069934,0.0020993287,0.08005391],"study_design_scores_gemma":[0.000032718806,0.00064594985,0.31612092,0.00006672046,0.00013727932,0.0004470768,0.0014489642,0.6725666,0.0010203461,0.0061932025,0.0012657425,0.00005446422],"about_ca_topic_score_codex":0.0069822427,"about_ca_topic_score_gemma":0.0036018228,"teacher_disagreement_score":0.007992375,"about_ca_system_score_codex":0.0011512307,"about_ca_system_score_gemma":0.000898583,"threshold_uncertainty_score":0.042268217},"labels":[],"label_agreement":null},{"id":"W3110130347","doi":"10.5430/ijfr.v11n6p100","title":"The Determinants of Bank Risk Taking: Evidence From Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital adequacy ratio; Risk-weighted asset; Basel II; Capital requirement; Shareholder; Bank regulation; Basel III; Risk-adjusted return on capital; Basel I; Business; Economics; Variables; Financial system; Actuarial science; Monetary economics; Finance; Financial capital; Capital formation; Human capital; Statistics; Corporate governance; Mathematics; Incentive","score_opus":0.13714188716072706,"score_gpt":0.37379069916338453,"score_spread":0.23664881200265747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110130347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846566,0.0002376133,0.00003646772,0.0002460758,0.0000014233952,0.000002555177,0.00005264896,9.678611e-7,0.00095657445],"genre_scores_gemma":[0.9990853,0.00043955262,0.000030549752,0.00006748199,0.000007896486,0.0000028002403,0.00008605271,9.916703e-7,0.00027945632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994387,0.00020386094,0.000053474818,0.00006254887,0.00014285513,0.000098572906],"domain_scores_gemma":[0.9931212,0.0015214573,0.0035584182,0.00019831274,0.00096273527,0.00063778815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011990155,0.00016650633,0.0002054989,0.00077960227,0.00043739282,0.0010222698,0.00023976731,0.00030144808,0.0024378258],"category_scores_gemma":[0.0038893875,0.00015404137,0.0001907617,0.0013591349,0.0006152267,0.00051546854,0.00062337733,0.00045639052,0.00047780102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008753416,0.000101980724,0.9917408,0.000024814499,0.000030345249,0.00012455453,0.0015243903,0.00015225516,0.000096328076,0.000268141,0.0003730595,0.0054756794],"study_design_scores_gemma":[0.000012832654,0.00007170112,0.99327445,0.00004749819,0.00002356418,0.0001542665,0.0041961805,0.00037494715,0.00016389949,0.0002199002,0.0014535161,0.0000071997847],"about_ca_topic_score_codex":0.00783491,"about_ca_topic_score_gemma":0.008875829,"teacher_disagreement_score":0.00783491,"about_ca_system_score_codex":0.00040112392,"about_ca_system_score_gemma":0.0008681039,"threshold_uncertainty_score":0.015578628},"labels":[],"label_agreement":null},{"id":"W3110389070","doi":"10.5430/ijfr.v11n6p87","title":"Behavioural Determinants of Green Managerial Practices: A Study on Bangladeshi Bankers","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variance (accounting); Government (linguistics); Peer pressure; Exploratory factor analysis; Regression analysis; Business; Exploratory research; Work (physics); Marketing; Variables; Psychology; Social psychology; Accounting; Statistics; Sociology","score_opus":0.13656934353401176,"score_gpt":0.3919764110359698,"score_spread":0.2554070675019581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110389070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995419,0.00005496025,0.000016196915,0.00009094831,0.0000015772291,0.000006488588,0.000019139985,3.0996586e-7,0.00026841782],"genre_scores_gemma":[0.9986461,0.00026573523,0.00007364676,0.00014923366,0.0000053043623,0.00001837729,0.000021285687,9.446543e-7,0.00081938325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962795,0.00012481354,0.00002435307,0.000041087835,0.000059463568,0.00012237852],"domain_scores_gemma":[0.99871564,0.0003942176,0.00035205527,0.000048629056,0.00017922733,0.00031035588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080850103,0.00023888335,0.00031855635,0.0005779053,0.0022501585,0.0011397022,0.00022880296,0.0006865237,0.003256886],"category_scores_gemma":[0.0015932391,0.00037710386,0.00021300348,0.0009569119,0.00072821765,0.0006972735,0.00052386755,0.0009146181,0.0005583394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112435395,0.00086153985,0.7832447,0.00012365959,0.000021789694,0.00081292616,0.1985451,0.000042063348,0.0020549993,0.00019934088,0.0004919545,0.0134894345],"study_design_scores_gemma":[0.000007479623,0.000742536,0.7543225,0.0000829791,0.000019247303,0.0004864615,0.24138525,0.000084938794,0.0002280184,0.00007816702,0.0025370098,0.000025489366],"about_ca_topic_score_codex":0.01786355,"about_ca_topic_score_gemma":0.037152153,"teacher_disagreement_score":0.01786355,"about_ca_system_score_codex":0.0007007455,"about_ca_system_score_gemma":0.0008830009,"threshold_uncertainty_score":0.035519123},"labels":[],"label_agreement":null},{"id":"W3110466023","doi":"10.5430/ijfr.v11n6p129","title":"Scenario Analysis of the Intellectual Capital Development of the Region in Postcovid Economics Based on Financial Assets","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Intellectual capital; Context (archaeology); Pessimism; Human capital; State (computer science); Business; Intellectual property; Financial crisis; Capital (architecture); Economics; Economic system; Economic growth; Finance; Macroeconomics; Political science","score_opus":0.10525604159145183,"score_gpt":0.3669907106130067,"score_spread":0.26173466902155484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110466023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93966424,0.00044407524,0.010988585,0.0010425474,0.000028630597,0.00012268708,0.001556336,0.000072051494,0.046080798],"genre_scores_gemma":[0.99710006,0.00020296538,0.0011839978,0.000008946281,0.0000026598357,0.000027757362,0.00020956244,0.000003741127,0.0012603375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995883,0.00019908989,0.00001276539,0.000028833854,0.000045078003,0.0001259871],"domain_scores_gemma":[0.99960417,0.00013376548,0.00007859364,0.000015913924,0.000085395615,0.00008212847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005438515,0.0003619658,0.00022144215,0.0018866443,0.0006044155,0.0019345649,0.000557995,0.0007316125,0.0033923537],"category_scores_gemma":[0.0007980441,0.00014008765,0.00063590717,0.0017396972,0.0004556769,0.0012224568,0.001030762,0.00051967625,0.00017912273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053014443,0.00018420214,0.105468065,0.0002710009,0.00021541906,0.01177345,0.0015790621,0.6366313,0.0026584219,0.21173888,0.0048600836,0.024089966],"study_design_scores_gemma":[0.00005899385,0.00040008817,0.0882296,0.00014645969,0.00016927338,0.0016578885,0.009763947,0.82932556,0.0015656649,0.05361657,0.014942058,0.000123825],"about_ca_topic_score_codex":0.018143581,"about_ca_topic_score_gemma":0.017181879,"teacher_disagreement_score":0.018143581,"about_ca_system_score_codex":0.0028109057,"about_ca_system_score_gemma":0.0009410169,"threshold_uncertainty_score":0.03607595},"labels":[],"label_agreement":null},{"id":"W3110476540","doi":"10.5430/ijfr.v11n6p1","title":"Are Kuwaiti Stock Returns Affected by Fluctuations in Oil Prices?","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Stock market; Oil price; Stock (firearms); Monetary economics; Econometrics; Error correction model; Short run; Financial economics","score_opus":0.09019063852740752,"score_gpt":0.3419053882075297,"score_spread":0.2517147496801222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110476540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980369,0.00018820788,0.00008048212,0.00029876313,0.0000080419395,0.000004134156,0.00014182528,0.0000050421154,0.0012365549],"genre_scores_gemma":[0.9994143,0.00018448898,0.000026037556,0.000029793078,0.000011846687,0.0000012878055,0.00011569108,0.0000012685184,0.00021525117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997335,0.000038719034,0.000028561932,0.000047178142,0.000060219143,0.00009181438],"domain_scores_gemma":[0.9982262,0.000311745,0.0010229431,0.00007385179,0.00023345352,0.00013180781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042714702,0.0002356064,0.00026140557,0.000873032,0.00025823357,0.001212108,0.0002500692,0.0004887955,0.0012879426],"category_scores_gemma":[0.002426682,0.00019516918,0.0002716926,0.0012048665,0.0004962206,0.0009925308,0.00035557352,0.0005658741,0.00040656072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012965585,0.000060686467,0.9901322,0.000021393756,0.00009515434,0.00042670238,0.00024464694,0.000545796,0.0010504824,0.00028398278,0.00027615842,0.0067330096],"study_design_scores_gemma":[0.000002714995,0.000030424617,0.99698013,0.000005823704,0.00002974575,0.00008950415,0.0003754514,0.0017528667,0.000302203,0.0000911137,0.00033406768,0.000005935679],"about_ca_topic_score_codex":0.034332454,"about_ca_topic_score_gemma":0.035003338,"teacher_disagreement_score":0.034332454,"about_ca_system_score_codex":0.0006459364,"about_ca_system_score_gemma":0.00056275894,"threshold_uncertainty_score":0.06826526},"labels":[],"label_agreement":null},{"id":"W3110494790","doi":"10.5430/ijfr.v11n6p73","title":"Deposit Insurance Scheme Activities on Deposit Mobilization of International Association of Deposit Insurer Member Countries: Post Coreprinciple Effect","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Deposit insurance; Member states; Business; Mobilization; Investment (military); Family member; Certificate of deposit; Developing country; Fixed deposit; Finance; International economics; Economics; Economic policy; Economic growth; European union","score_opus":0.0362895336175821,"score_gpt":0.31358346341618654,"score_spread":0.27729392979860445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110494790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99465346,0.0003938705,0.00024622132,0.000360254,0.000020865973,0.00002845615,0.00016463637,0.000014579138,0.0041176877],"genre_scores_gemma":[0.9982925,0.00015338954,0.00011897997,0.000053458843,0.000016412778,0.0000127675185,0.00014207659,0.0000026876603,0.0012076896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761415,0.0006867327,0.00021023913,0.00036509338,0.00046272267,0.0006610848],"domain_scores_gemma":[0.98283213,0.0051002535,0.007840476,0.0011557195,0.001305676,0.0017657038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032970794,0.00025546952,0.00040037397,0.0010549477,0.0005221031,0.0021374351,0.00046405089,0.0006069804,0.0049888454],"category_scores_gemma":[0.012843933,0.00015228635,0.0007204147,0.0011357777,0.0008098346,0.0007992823,0.0027631223,0.0009790428,0.0005085747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048146813,0.00030637268,0.96642596,0.00007260179,0.00023485076,0.00023699108,0.0010562304,0.0008725327,0.000575888,0.0026953944,0.0008979427,0.02614392],"study_design_scores_gemma":[0.000019689725,0.00022972526,0.9942521,0.000041395746,0.00014240507,0.00006698418,0.0010575443,0.00070184394,0.0004599444,0.000403969,0.0026160935,0.000008369083],"about_ca_topic_score_codex":0.0056397957,"about_ca_topic_score_gemma":0.004210509,"teacher_disagreement_score":0.0056397957,"about_ca_system_score_codex":0.0009124646,"about_ca_system_score_gemma":0.0015366077,"threshold_uncertainty_score":0.017436802},"labels":[],"label_agreement":null},{"id":"W3110898663","doi":"10.5430/ijfr.v11n6p253","title":"The Performance of Environmental, Social, and Governance Investment in Thailand","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Portfolio; Business; Corporate social responsibility; Stock exchange; Investment (military); Investment strategy; Social responsibility; Sustainable development; Stock (firearms); Investment performance; Socially responsible investing; Finance; Economics; Return on investment; Microeconomics; Public relations","score_opus":0.0670973889804691,"score_gpt":0.3256465938928205,"score_spread":0.25854920491235145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110898663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634784,0.00014987391,0.00007925808,0.00010316915,0.0000027648887,0.0000053288018,0.00024514415,0.0000045184124,0.0030622878],"genre_scores_gemma":[0.9989793,0.00009914214,0.000029116785,0.0000041601584,0.0000029664047,0.0000018002642,0.00021176279,0.0000011010536,0.00067054626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989742,0.0002031265,0.00014415933,0.00008917061,0.00035782755,0.00023148075],"domain_scores_gemma":[0.9937836,0.0009914547,0.0030947612,0.00013834418,0.0011466693,0.00084522914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087854796,0.00027612498,0.00015529199,0.0012917215,0.00028235532,0.0025495188,0.00019468798,0.0003281197,0.0012387023],"category_scores_gemma":[0.0043678507,0.000100706704,0.00018191038,0.0020132966,0.0004625745,0.0012266021,0.0012187788,0.00042282438,0.00022973988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002987142,0.00010141436,0.96364146,0.00007268925,0.000093292125,0.0011806802,0.0012546689,0.0110261245,0.00081878185,0.0022152876,0.00090573344,0.018391065],"study_design_scores_gemma":[0.000009716739,0.0002931487,0.97447544,0.000040397754,0.00004636911,0.00046623257,0.0034116374,0.016881984,0.0015746894,0.0007177183,0.0020464456,0.00003624033],"about_ca_topic_score_codex":0.015588103,"about_ca_topic_score_gemma":0.010898853,"teacher_disagreement_score":0.015588103,"about_ca_system_score_codex":0.0017766022,"about_ca_system_score_gemma":0.00082825316,"threshold_uncertainty_score":0.030994773},"labels":[],"label_agreement":null},{"id":"W3111231807","doi":"10.5430/ijfr.v11n6p226","title":"Relative Versus Fundamental Valuation: An Empirical Study of US Biotechnology Firms Around the 2000 High-Tech Bubble","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Residual income valuation; Market value; High tech; Stock market; Economics; Econometrics; Stock (firearms); Financial economics; Intrinsic value (animal ethics); Bubble; Business; Accounting; Mechanics; Law; Biology; Geography; Ecology","score_opus":0.24980443950533715,"score_gpt":0.45704028240937256,"score_spread":0.2072358429040354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111231807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991387,0.000090186,0.00006613419,0.000053449334,0.0000015630205,0.0000048816055,0.00008435949,0.0000014571843,0.00055917713],"genre_scores_gemma":[0.9992906,0.00009582818,0.000051575913,0.000023843695,0.000010892344,0.000003397501,0.00031187126,0.0000015560857,0.0002104527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972206,0.000073438336,0.000028306953,0.00004196675,0.00007705436,0.000057059806],"domain_scores_gemma":[0.986826,0.0046793427,0.006592298,0.000306318,0.0008606747,0.000735472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009136108,0.00013958177,0.00021877105,0.0015843583,0.00039686545,0.0012700998,0.00031173814,0.0006676456,0.0012011274],"category_scores_gemma":[0.008743826,0.00012191158,0.00015859128,0.0018495886,0.0005814374,0.0015207437,0.00068366784,0.0007335585,0.00024763864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002635295,0.00025957674,0.9857255,0.000023863018,0.000032434487,0.00027605306,0.0015602332,0.0003765789,0.0011430205,0.00076759036,0.0004775176,0.009093962],"study_design_scores_gemma":[0.000006310726,0.00013111447,0.9959543,0.000010604985,0.000008764399,0.00016871709,0.00165318,0.0011150939,0.00029596878,0.00020732616,0.00043990117,0.0000087597455],"about_ca_topic_score_codex":0.005712008,"about_ca_topic_score_gemma":0.0069159423,"teacher_disagreement_score":0.005712008,"about_ca_system_score_codex":0.00052712206,"about_ca_system_score_gemma":0.0002320793,"threshold_uncertainty_score":0.011357486},"labels":[],"label_agreement":null},{"id":"W3111718292","doi":"10.5430/ijfr.v11n6p262","title":"The Internal Control System as a Management Function and the Element of Integrated Reporting Financial Statements","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Agricultural and Financial Auditing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Internal audit; Accounting; Internal control; Control (management); Audit; Accounting management; Business; Control environment; Function (biology); Accounting information system; Public sector; Knowledge management; Computer science; Joint audit; Economics","score_opus":0.04753910307440297,"score_gpt":0.3289718033915105,"score_spread":0.28143270031710754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111718292","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27608794,0.010317744,0.22202401,0.012901938,0.0006119176,0.0003021831,0.00012324308,0.00082278537,0.47680816],"genre_scores_gemma":[0.9784066,0.0009002167,0.013893844,0.00022741017,0.00021477319,0.00007603026,0.000033899614,0.000039271465,0.00620793],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9887482,0.005754778,0.00052245683,0.00087230536,0.0033285576,0.00077364856],"domain_scores_gemma":[0.985316,0.005642249,0.0035732395,0.002330167,0.0023745997,0.0007638291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006208422,0.00032994442,0.00023614346,0.0028962286,0.0015104976,0.010102559,0.00075695274,0.00094204134,0.0027576315],"category_scores_gemma":[0.012547892,0.00025393526,0.00027917314,0.002184544,0.009298282,0.005887445,0.0024114912,0.0013275158,0.00038084673],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061149825,0.00006516969,0.011794574,0.00017220416,0.000030664844,0.0002225495,0.0062656943,0.0016205937,0.0014757067,0.85195327,0.0020134398,0.124324895],"study_design_scores_gemma":[0.000050332375,0.0005775758,0.06866815,0.0013340747,0.00022341918,0.0014040127,0.011236859,0.022231217,0.008765432,0.5886809,0.29668096,0.00014714852],"about_ca_topic_score_codex":0.0019608636,"about_ca_topic_score_gemma":0.0006377763,"teacher_disagreement_score":0.010102559,"about_ca_system_score_codex":0.0022609495,"about_ca_system_score_gemma":0.0036473572,"threshold_uncertainty_score":0.032833636},"labels":[],"label_agreement":null},{"id":"W3111833819","doi":"10.5430/ijfr.v11n6p296","title":"Potential of Cryptocurrency as Global Money of the Sixth Technological Mode Based on the Global Financial System","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Russian Science Foundation; Kazan Federal University; Russian Foundation for Basic Research","keywords":"Cryptocurrency; Currency; Digital currency; Liberian dollar; Investment (military); Fiat money; Economics; Business; Monetary system; Mode (computer interface); Technological change; Commerce; Financial innovation; Financial system; Finance; Monetary economics; Monetary policy; Macroeconomics; Computer science; Computer security","score_opus":0.029407531138220044,"score_gpt":0.3354428534065572,"score_spread":0.3060353222683372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111833819","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10857138,0.027315484,0.105583005,0.02941057,0.0022251029,0.00014118082,0.00033813057,0.0008107098,0.7256045],"genre_scores_gemma":[0.932679,0.011103015,0.018163286,0.0011600072,0.00068859267,0.00009489823,0.00012139554,0.00007109054,0.035918765],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993362,0.00020285042,0.000020233194,0.00008691826,0.00023970858,0.000114028306],"domain_scores_gemma":[0.9989759,0.00021700082,0.000097090524,0.00027114112,0.00024474473,0.0001942091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013006236,0.0003545308,0.00034688436,0.0010453495,0.0009650954,0.0055946,0.0005715809,0.00206665,0.009243596],"category_scores_gemma":[0.002177615,0.00016544551,0.00029664667,0.00089397014,0.0030083607,0.010204232,0.0027263798,0.0019654564,0.0019073607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039058526,0.000009965002,0.00025561973,0.000052729843,0.0000049921823,0.00009867809,0.00016541236,0.0007583527,0.00087992346,0.97498715,0.0025912346,0.020156778],"study_design_scores_gemma":[0.000038097885,0.000113885166,0.00048418486,0.00032191497,0.000021603064,0.00047712665,0.00034675657,0.009407455,0.002918509,0.7528055,0.23302388,0.00004104478],"about_ca_topic_score_codex":0.00053092634,"about_ca_topic_score_gemma":0.00040330447,"teacher_disagreement_score":0.009243596,"about_ca_system_score_codex":0.0011864541,"about_ca_system_score_gemma":0.0014785843,"threshold_uncertainty_score":0.03092295},"labels":[],"label_agreement":null},{"id":"W3112389975","doi":"10.5430/ijfr.v11n6p318","title":"Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Contrarian; Economics; Stock exchange; Financial economics; Explanatory power; Econometrics; Monetary economics; Finance","score_opus":0.1253336523868116,"score_gpt":0.334831793322497,"score_spread":0.20949814093568542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112389975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979978,0.00058763573,0.000031905918,0.00018965415,0.000005892469,0.0000034061782,0.00019925783,0.0000014174115,0.0009829341],"genre_scores_gemma":[0.99864274,0.00047315317,0.000039834864,0.000030242347,0.000039758997,0.0000024711524,0.0004676307,0.0000012483316,0.00030286144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965477,0.00007823798,0.000052961594,0.000052621057,0.0001075726,0.000053910248],"domain_scores_gemma":[0.9960722,0.0011993818,0.0018581134,0.00015967753,0.0004730656,0.00023763174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009357143,0.00023140297,0.00028077365,0.0021778014,0.00042898636,0.0011043152,0.00028276318,0.0003849029,0.0025937252],"category_scores_gemma":[0.003255617,0.000114082126,0.00031515647,0.0018374196,0.0003733576,0.0010531598,0.0005082132,0.0005081865,0.00031702424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016936807,0.00010310116,0.987988,0.00005254424,0.00012087395,0.0005776828,0.0007943291,0.00015418565,0.0003759961,0.00045023978,0.00053121353,0.008682518],"study_design_scores_gemma":[0.0000078563135,0.00003701285,0.9978083,0.000018583562,0.000025541216,0.00013153518,0.00073548115,0.00042190464,0.00007508356,0.00009345333,0.00064076006,0.000004529711],"about_ca_topic_score_codex":0.016350133,"about_ca_topic_score_gemma":0.016832283,"teacher_disagreement_score":0.016350133,"about_ca_system_score_codex":0.00052248396,"about_ca_system_score_gemma":0.00034527606,"threshold_uncertainty_score":0.032509923},"labels":[],"label_agreement":null},{"id":"W3112754026","doi":"10.5430/ijfr.v11n6p237","title":"Highlighting Determinants of Financial Performance of the Jordanian Financial Sector: Panel Data Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Panel data; Financial ratio; Business; Proxy (statistics); Finance; Return on assets; Profitability index; Return on equity; Market liquidity; Leverage (statistics); Stock exchange; Financial analysis; Variables; Instrumental variable; Econometrics; Economics; Statistics","score_opus":0.13111496128981145,"score_gpt":0.3274361313749539,"score_spread":0.19632117008514247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112754026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929986,0.0004187459,0.0010015051,0.00032633863,0.000013806068,0.00002700391,0.003473524,0.000013263383,0.0017272074],"genre_scores_gemma":[0.9931705,0.0002965984,0.0006353032,0.000064173444,0.000037355727,0.00003237626,0.0048230668,0.0000028730935,0.0009376404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995815,0.0001759175,0.00002697183,0.000068048736,0.00005565354,0.000091961214],"domain_scores_gemma":[0.99893636,0.00039619923,0.00032913333,0.00007190787,0.00016220566,0.00010420272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011336532,0.00023888494,0.0002404156,0.0013306506,0.00024126867,0.0007941308,0.00027126813,0.00037789092,0.0022233138],"category_scores_gemma":[0.0011591895,0.0001350887,0.00054928026,0.0016814476,0.00014625155,0.00042667027,0.00047040405,0.0005774508,0.00037947754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007483609,0.00013637044,0.9822443,0.000037694277,0.00022970053,0.00016787245,0.00021512821,0.004436487,0.0003227025,0.00052693224,0.0018751769,0.009732804],"study_design_scores_gemma":[0.000007641838,0.00012036266,0.9846847,0.000039299186,0.00012340833,0.00007579929,0.00082945364,0.010548791,0.00048150858,0.00033320597,0.0027425103,0.000013358601],"about_ca_topic_score_codex":0.011873932,"about_ca_topic_score_gemma":0.013353439,"teacher_disagreement_score":0.011873932,"about_ca_system_score_codex":0.0003342515,"about_ca_system_score_gemma":0.00043391867,"threshold_uncertainty_score":0.023609638},"labels":[],"label_agreement":null},{"id":"W3112814956","doi":"10.5430/ijfr.v11n6p301","title":"Corporate Board and Firm Risk: An Emerging Market Perspective","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Stock exchange; Accounting; Business; Principal–agent problem; Descriptive statistics; Panel data; Perspective (graphical); Context (archaeology); Audit committee; Audit; Actuarial science; Econometrics; Economics; Finance; Statistics; Computer science","score_opus":0.09232082275734109,"score_gpt":0.3442426504510764,"score_spread":0.2519218276937353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112814956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697878,0.005275926,0.0019286042,0.005990998,0.000048809947,0.000012358142,0.0001478053,0.000008104853,0.016799645],"genre_scores_gemma":[0.99837756,0.00091683905,0.00010759082,0.00007135408,0.000073143565,0.0000014603714,0.000028723558,7.569504e-7,0.00042248043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959356,0.00014492491,0.000018792087,0.00006281707,0.00009967033,0.00008023498],"domain_scores_gemma":[0.995053,0.0016518991,0.0023046539,0.00007178417,0.00032560815,0.00059306953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007985317,0.0001914063,0.00023672935,0.0017595893,0.0004020971,0.0026009541,0.00027521874,0.0005866633,0.002383659],"category_scores_gemma":[0.0022915169,0.00006413623,0.00024175455,0.0013331554,0.0011709951,0.0022113055,0.0007327114,0.0010925297,0.00012378536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008347031,0.00019175527,0.9244567,0.00007930345,0.000106903906,0.0014535222,0.0025076559,0.0017670117,0.00053005194,0.04327126,0.0009855641,0.024566758],"study_design_scores_gemma":[0.000010996054,0.000293096,0.9496037,0.00014033359,0.00008119268,0.00057166757,0.009595212,0.009486948,0.00030121807,0.023265222,0.0066151544,0.000035376506],"about_ca_topic_score_codex":0.0049535222,"about_ca_topic_score_gemma":0.0048014517,"teacher_disagreement_score":0.0049535222,"about_ca_system_score_codex":0.0006823621,"about_ca_system_score_gemma":0.0004891598,"threshold_uncertainty_score":0.009849429},"labels":[],"label_agreement":null},{"id":"W3112835465","doi":"10.5430/ijfr.v11n6p270","title":"The Impact of Unconventional Monetary Policies on the Stocks of Bank Deposits: Evidence at an Aggregate Level in the Euro Area","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monetary policy; Economics; Financial crisis; Financial system; Monetary economics; Business; Macroeconomics","score_opus":0.22860537907453626,"score_gpt":0.38623353847733943,"score_spread":0.15762815940280317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112835465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979923,0.0007351392,0.00008519541,0.00012175071,0.00000900872,0.0000026269952,0.00034085088,0.0000054578513,0.00070766686],"genre_scores_gemma":[0.99852693,0.00062076637,0.00004845364,0.000024113608,0.000030434994,0.0000024324636,0.0004613105,0.0000022290842,0.0002831868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932325,0.00018085173,0.00011949032,0.00014664169,0.00015822652,0.0000715542],"domain_scores_gemma":[0.9926514,0.0015757709,0.0044298153,0.00035834275,0.0006555861,0.0003291794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013369782,0.00028127173,0.00042371347,0.0009919878,0.00014055368,0.0015718709,0.00028859626,0.0005018512,0.0010715873],"category_scores_gemma":[0.003958038,0.00013202486,0.00034490463,0.0014386531,0.000446675,0.00071067276,0.0008055319,0.00046705414,0.00026056427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053809944,0.00012196803,0.9781538,0.00013399299,0.000565118,0.00033713458,0.0004003593,0.003468954,0.00087664236,0.0009249313,0.00079367444,0.013685382],"study_design_scores_gemma":[0.00000892213,0.000081817605,0.9965378,0.000023874423,0.00011457056,0.00005092904,0.00030538315,0.0014156572,0.00039736705,0.00015670546,0.00089948013,0.0000074527075],"about_ca_topic_score_codex":0.009865382,"about_ca_topic_score_gemma":0.006940804,"teacher_disagreement_score":0.009865382,"about_ca_system_score_codex":0.0003577781,"about_ca_system_score_gemma":0.00025536626,"threshold_uncertainty_score":0.019615889},"labels":[],"label_agreement":null},{"id":"W3113040717","doi":"10.5430/ijfr.v11n6p278","title":"Tax Aggressiveness, Corporate Governance and Audit Fees: A Study of Listed Firms in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Audit committee; Corporate governance; Business; Stock exchange; Panel data; Audit; Hausman test; Diligence; Corporate tax; Tax avoidance; Fixed effects model; Economics; Finance; Double taxation; Psychology","score_opus":0.0850824209296266,"score_gpt":0.32741201913845935,"score_spread":0.24232959820883276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113040717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99959403,0.000109163964,0.0000082671695,0.000046767524,9.177846e-7,0.0000031619463,0.00001242757,1.1081564e-7,0.0002251129],"genre_scores_gemma":[0.9994282,0.0002578337,0.000021892673,0.00003137758,0.0000026397647,0.0000021370638,0.00002041961,2.4196098e-7,0.00023525195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996536,0.00010039622,0.000045003624,0.000039772487,0.00006929411,0.00009197153],"domain_scores_gemma":[0.9979882,0.00051068387,0.0010343409,0.000038702045,0.00012889972,0.00029920245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006681026,0.00012529378,0.0001965809,0.00090459676,0.0011730364,0.00132722,0.00019912861,0.00038719492,0.0012922118],"category_scores_gemma":[0.0014386092,0.00026557723,0.00016700433,0.0011976743,0.0005959816,0.0008873199,0.0006754343,0.0006437169,0.00014400698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002216396,0.00014060333,0.98934925,0.000028819719,0.000006956596,0.00048645504,0.0070589,0.00002862229,0.00021829133,0.00016363413,0.00008202383,0.0024143162],"study_design_scores_gemma":[0.0000018912925,0.000101939084,0.9761295,0.00005497465,0.000009217781,0.00041612983,0.022488218,0.00008812439,0.00006152754,0.00005230347,0.0005916829,0.000004446974],"about_ca_topic_score_codex":0.017339008,"about_ca_topic_score_gemma":0.04266462,"teacher_disagreement_score":0.017339008,"about_ca_system_score_codex":0.0009030741,"about_ca_system_score_gemma":0.00087425945,"threshold_uncertainty_score":0.03447622},"labels":[],"label_agreement":null},{"id":"W3113474213","doi":"10.5430/ijfr.v11n6p372","title":"Investigation on the Value Relevance of Integrated Reporting and Organizational Capital: Evidence From Sri Lanka","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Return on equity; Equity (law); Book value; Accounting; Structural capital; Stock exchange; Earnings; Finance; Economics; Human capital; Financial capital; Individual capital; Political science; Economic growth","score_opus":0.24922972874482682,"score_gpt":0.38556700161081764,"score_spread":0.13633727286599082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113474213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926965,0.002294222,0.000105756466,0.0005968625,0.000008529626,0.000024688212,0.00016936974,0.000002559864,0.004101472],"genre_scores_gemma":[0.99713755,0.0022305178,0.00016531076,0.00009599459,0.000013739468,0.0000120862005,0.00012141197,0.0000018575294,0.0002214099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964425,0.0016999891,0.00043457278,0.00023985295,0.0008116094,0.00037145856],"domain_scores_gemma":[0.96542925,0.015748642,0.013513595,0.0012109437,0.003172288,0.00092523725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039829756,0.0002693466,0.0003077557,0.002879057,0.00073996285,0.0021286418,0.0007785244,0.0003656416,0.0019579458],"category_scores_gemma":[0.016909404,0.0002533307,0.00039936707,0.0046991347,0.0014561012,0.0017566395,0.0016759265,0.0008456857,0.00015825081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010072196,0.00014759014,0.92708415,0.00081900787,0.00019714703,0.0010221229,0.019773124,0.0001178269,0.00026074634,0.0011696562,0.0006833399,0.048624508],"study_design_scores_gemma":[0.0000073911115,0.000169322,0.9664411,0.00070160604,0.00020813718,0.0004597674,0.028643167,0.0001568488,0.00019416123,0.00024436417,0.0027505686,0.00002358169],"about_ca_topic_score_codex":0.026061574,"about_ca_topic_score_gemma":0.039135586,"teacher_disagreement_score":0.026061574,"about_ca_system_score_codex":0.0012897127,"about_ca_system_score_gemma":0.0020470289,"threshold_uncertainty_score":0.05181974},"labels":[],"label_agreement":null},{"id":"W3113610764","doi":"10.5430/ijfr.v12n1p137","title":"Management of the Process of Formation of Financial and Credit Infrastructure to Support Agricultural Enterprises","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Business; Finance; Order (exchange); Production (economics); Agricultural productivity; Working capital; Capital (architecture); Fixed asset; Industrial organization; Economics","score_opus":0.030293095444278544,"score_gpt":0.31029903665268127,"score_spread":0.2800059412084027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113610764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.585949,0.0015933828,0.21275777,0.0075875022,0.0001458882,0.002395586,0.000584264,0.0007157556,0.1882709],"genre_scores_gemma":[0.968593,0.00031822297,0.022295207,0.00006916968,0.000031742813,0.00030012662,0.00012284641,0.000014459977,0.008255202],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980142,0.000610572,0.00011582697,0.00024590755,0.00048084048,0.00053247844],"domain_scores_gemma":[0.9960955,0.000971722,0.00103253,0.00027111842,0.0006970734,0.00093219505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004244303,0.00022848402,0.00017115963,0.0017721739,0.0015122037,0.004691291,0.0008757752,0.0009788017,0.0038878692],"category_scores_gemma":[0.0061769458,0.00014943004,0.00017320889,0.0012583972,0.00086742325,0.002080527,0.0022443358,0.000712093,0.00068006],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002107129,0.0005048395,0.07617773,0.0003631719,0.000054760396,0.00068582385,0.0058814464,0.026927354,0.008838407,0.21654522,0.00867991,0.6551306],"study_design_scores_gemma":[0.00013701561,0.0014793812,0.28776178,0.0010030678,0.00012944793,0.0007642193,0.022289224,0.11097633,0.022055302,0.1974841,0.35569447,0.00022571256],"about_ca_topic_score_codex":0.0025336358,"about_ca_topic_score_gemma":0.0023401603,"teacher_disagreement_score":0.004691291,"about_ca_system_score_codex":0.0027434286,"about_ca_system_score_gemma":0.009399088,"threshold_uncertainty_score":0.022446275},"labels":[],"label_agreement":null},{"id":"W3113713813","doi":"10.5430/ijfr.v11n6p337","title":"The Determinants of Risk-Sharing Strategies of Food-Retailers: A Study on Chittagong, Bangladesh","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Risk management; Marketing; Promotion (chess); Risk perception; Financial risk management; Negotiation; Actuarial science; Risk analysis (engineering); Finance; Perception; Psychology","score_opus":0.08970759813198381,"score_gpt":0.3604574376722062,"score_spread":0.2707498395402224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113713813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994684,0.00002221999,0.000017652717,0.000041695675,4.398807e-7,0.000009325743,0.000036733818,2.4575732e-7,0.00040331206],"genre_scores_gemma":[0.9994386,0.00010948007,0.000046543533,0.00001849447,7.0729e-7,0.000011650185,0.000053409316,5.964294e-7,0.00032054057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999567,0.00013362919,0.000044173186,0.00006824272,0.00007959876,0.000107284504],"domain_scores_gemma":[0.9986665,0.00051527115,0.0003522655,0.00006962791,0.00017269168,0.00022353465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005674192,0.00034249565,0.00029497908,0.0006325129,0.0013289422,0.0009699992,0.00039483845,0.0005433899,0.0027157576],"category_scores_gemma":[0.001874048,0.0003133212,0.00029173808,0.001625097,0.0006627325,0.00075302407,0.000598495,0.0005735516,0.00043235032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007692805,0.00036690367,0.96020705,0.00008484356,0.000036356334,0.0009902427,0.02932149,0.00011494012,0.00088043103,0.0002683266,0.00022506867,0.007427412],"study_design_scores_gemma":[0.000006807716,0.00029694516,0.91431075,0.00005373412,0.00002509168,0.00037286105,0.08317783,0.00034075434,0.00016283781,0.00011685381,0.0011141307,0.000021370042],"about_ca_topic_score_codex":0.039294872,"about_ca_topic_score_gemma":0.05445561,"teacher_disagreement_score":0.039294872,"about_ca_system_score_codex":0.0012896102,"about_ca_system_score_gemma":0.000946044,"threshold_uncertainty_score":0.07813227},"labels":[],"label_agreement":null},{"id":"W3113912432","doi":"10.5430/ijfr.v12n1p40","title":"The Influence of Growth Opportunities on IPO Initial Aftermarket Performance","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Initial public offering; Prospectus; Business; Listing (finance); Monetary economics; Underwriting; Sample (material); Industrial organization; Finance; Economics","score_opus":0.11506899087865051,"score_gpt":0.3298818118647956,"score_spread":0.21481282098614507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113912432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960045,0.000104606166,0.00007712837,0.000109278524,0.000004962579,0.00000849597,0.00009232967,0.000003982243,0.0035947713],"genre_scores_gemma":[0.9992792,0.00007138358,0.000031644813,0.0000066950965,0.000013057731,0.000002407113,0.00007356173,0.0000015793009,0.00052043225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923277,0.00020273894,0.000060118706,0.000079098594,0.00020112534,0.0002241788],"domain_scores_gemma":[0.9720424,0.008786637,0.0135326255,0.00054701755,0.0015313423,0.0035600597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001199825,0.00029339912,0.00016398722,0.0011193282,0.00037307918,0.0016093641,0.00024755695,0.0003624021,0.0035221346],"category_scores_gemma":[0.010489042,0.00008495609,0.00027062025,0.0007397928,0.0005928071,0.001002576,0.0010121395,0.0009430238,0.0005037246],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000167938,0.00016530864,0.9892981,0.000013394668,0.00002682908,0.00028979938,0.0002778717,0.00030507764,0.00049516466,0.00031726714,0.00013718128,0.008506106],"study_design_scores_gemma":[0.0000019333672,0.00013538578,0.99811244,0.000010408853,0.000011190898,0.00008462721,0.0005780973,0.00030599054,0.00027810558,0.00009498221,0.00038113745,0.000005596118],"about_ca_topic_score_codex":0.0029685376,"about_ca_topic_score_gemma":0.0037508458,"teacher_disagreement_score":0.0035221346,"about_ca_system_score_codex":0.00048624663,"about_ca_system_score_gemma":0.00052696135,"threshold_uncertainty_score":0.011782706},"labels":[],"label_agreement":null},{"id":"W3113948816","doi":"10.5430/ijfr.v12n1p174","title":"Corporate Governance Structures and Probability of Financial Distress: Evidence From Indonesia Manufacturing Companies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Profitability index; Stock exchange; Business; Corporate governance; Nonprobability sampling; Financial distress; Accounting; Audit committee; Logistic regression; Proxy (statistics); Audit; Distress; Variables; Going concern; Finance; Auditor's report; Financial system; Psychology","score_opus":0.10480480468823979,"score_gpt":0.30523769931763717,"score_spread":0.2004328946293974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113948816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914324,0.00018644726,0.000032735417,0.00011339376,0.0000020741102,0.0000027316573,0.00006576417,7.0815594e-7,0.00045300293],"genre_scores_gemma":[0.9997346,0.00011829103,0.000015554513,0.000011614161,0.0000045831953,0.0000011800561,0.000058528938,2.9203312e-7,0.000055392527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991648,0.00026506843,0.000119074284,0.000117460986,0.0001989486,0.00013465837],"domain_scores_gemma":[0.9870139,0.0030422274,0.008104642,0.00033405563,0.00054946827,0.0009557205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107934,0.00015929299,0.00020023825,0.0010787998,0.0004444488,0.0010608864,0.00027542718,0.00037447418,0.0015905715],"category_scores_gemma":[0.005506119,0.00014135148,0.00024548062,0.0012871161,0.0006598413,0.0005850075,0.0007618429,0.00060876657,0.00018385521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013522168,0.000026959628,0.9985159,0.000006251314,0.000011849488,0.00007017407,0.0002068862,0.000025315288,0.000020137271,0.000027471571,0.00004481637,0.0010306493],"study_design_scores_gemma":[0.000001045365,0.000026828127,0.99878246,0.00000918802,0.000010555446,0.00009154824,0.0008253249,0.0001057748,0.000026094182,0.000019383266,0.000099878795,0.0000017887472],"about_ca_topic_score_codex":0.007149014,"about_ca_topic_score_gemma":0.009251263,"teacher_disagreement_score":0.007149014,"about_ca_system_score_codex":0.0004063327,"about_ca_system_score_gemma":0.0003847259,"threshold_uncertainty_score":0.014214814},"labels":[],"label_agreement":null},{"id":"W3114066661","doi":"10.5430/ijfr.v12n1p101","title":"An Early Warning Signal (EWS) Model for Predicting Financial Crisis in Emerging African Economies","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emerging markets; Currency; Financial crisis; Economics; Currency crisis; Financial system; Warning system; Debt; Foreign exchange risk; Debt crisis; Market liquidity; Monetary economics; Business; Economy; Finance; Macroeconomics","score_opus":0.1111997330681401,"score_gpt":0.3601106599934866,"score_spread":0.24891092692534653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114066661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9037585,0.0004769674,0.08919416,0.0021162755,0.000085353895,0.00010380551,0.0011215584,0.0002760802,0.0028673322],"genre_scores_gemma":[0.9916102,0.00019411708,0.0056654555,0.00006408956,0.000027609669,0.000054200977,0.000485023,0.000007722295,0.0018916341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995177,0.00025570494,0.00002457439,0.00008344896,0.00003846954,0.0000801804],"domain_scores_gemma":[0.99773526,0.0016856943,0.00025267323,0.00003378532,0.00020068225,0.000091971604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022953781,0.00068289327,0.0006830166,0.0011304828,0.00036717436,0.0012012315,0.0009011402,0.0011412047,0.002535924],"category_scores_gemma":[0.0045932448,0.00034735276,0.0007012118,0.00056739355,0.00041554667,0.0013737797,0.0008154919,0.0016826567,0.0003064519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032980574,0.00021986724,0.044475738,0.00008854657,0.00013327817,0.00026422544,0.00018556396,0.9263501,0.00063728605,0.00868671,0.0020272853,0.016601572],"study_design_scores_gemma":[0.000017887365,0.00005241674,0.0026879671,0.000008888731,0.00001855527,0.000014597571,0.00006405052,0.99487066,0.00009015866,0.0019389768,0.00022686474,0.000009060554],"about_ca_topic_score_codex":0.016922653,"about_ca_topic_score_gemma":0.010790129,"teacher_disagreement_score":0.016922653,"about_ca_system_score_codex":0.0007607282,"about_ca_system_score_gemma":0.00082452147,"threshold_uncertainty_score":0.033648312},"labels":[],"label_agreement":null},{"id":"W3114463311","doi":"10.5430/ijfr.v12n1p184","title":"The Process of Management and Control of Feasibility Planning of Road Construction Using the Financial Information System","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Aerospace, Electronics, Mathematical Modeling","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Task (project management); Computer science; Automation; Process (computing); Control (management); Process management; Information system; Business process; Product (mathematics); Work (physics); Software; Engineering management; Operations management; Business; Work in process; Systems engineering; Economics; Engineering","score_opus":0.045184139002265464,"score_gpt":0.3489338185730499,"score_spread":0.3037496795707844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114463311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055956922,0.000402036,0.8817725,0.0012727146,0.000122025886,0.0011996084,0.00054842775,0.004372723,0.054353107],"genre_scores_gemma":[0.5453896,0.00046165282,0.43767953,0.00010470833,0.000088725086,0.0007604001,0.0009557809,0.00034663975,0.014212998],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99612445,0.0018533317,0.00018499544,0.0004926419,0.0010350484,0.00030953766],"domain_scores_gemma":[0.9927624,0.0034363351,0.00060726743,0.0010917579,0.0017642669,0.00033799157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007694741,0.0006497438,0.0004554728,0.003422917,0.001596761,0.005655563,0.0012924881,0.0007659376,0.010242973],"category_scores_gemma":[0.013931493,0.0004932059,0.0004878706,0.0016111203,0.0014125697,0.0024382214,0.0015783355,0.0008701203,0.0022232654],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038940448,0.0002290454,0.0055660615,0.0002868017,0.00004076793,0.00040591194,0.0022005278,0.12897806,0.010174914,0.08404571,0.012429331,0.75525343],"study_design_scores_gemma":[0.00016953483,0.00066950155,0.013998495,0.0004058928,0.00010480739,0.00032437747,0.0021206383,0.6900399,0.026786625,0.07692328,0.18809605,0.0003608498],"about_ca_topic_score_codex":0.012645652,"about_ca_topic_score_gemma":0.007660222,"teacher_disagreement_score":0.012645652,"about_ca_system_score_codex":0.0022887124,"about_ca_system_score_gemma":0.0075798845,"threshold_uncertainty_score":0.040694118},"labels":[],"label_agreement":null},{"id":"W3114513808","doi":"10.5430/ijfr.v12n1p50","title":"Company Dividend Policy Modeling: Neutral Approach","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend policy; Dividend; Dividend yield; Earnings; Dividend payout ratio; Factoring; Econometrics; Economics; Financial economics; Business; Accounting; Finance","score_opus":0.17382888558919982,"score_gpt":0.3599738008098729,"score_spread":0.18614491522067309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114513808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023807544,0.00020604301,0.9520563,0.00045717566,0.000042634576,0.00007195302,0.00020331594,0.0002158816,0.022939214],"genre_scores_gemma":[0.80553627,0.00065782166,0.18408449,0.00013263096,0.000097631935,0.00024942413,0.00048991677,0.00009235024,0.0086595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885726,0.00040254724,0.00005884765,0.0001917852,0.00039045422,0.000099177414],"domain_scores_gemma":[0.9989794,0.00038670996,0.0001743429,0.00013353318,0.00026155802,0.00006448615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015296887,0.00065179635,0.00036284924,0.0008957787,0.00034642895,0.0030242286,0.0011517056,0.0006484972,0.0021988773],"category_scores_gemma":[0.003247735,0.00024177185,0.00073648326,0.00070167606,0.0011119954,0.002589544,0.00109787,0.0012162107,0.00043238883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000353367,0.00004933199,0.0015744716,0.00005828071,0.000029254225,0.00010554119,0.00025746078,0.2591618,0.0008803987,0.7197354,0.000629098,0.017483613],"study_design_scores_gemma":[0.000011723165,0.00004409075,0.00049782393,0.000045005447,0.000020020741,0.000039749455,0.00011309611,0.73741084,0.0009637853,0.25266713,0.008167734,0.00001895806],"about_ca_topic_score_codex":0.0041735843,"about_ca_topic_score_gemma":0.0020302604,"teacher_disagreement_score":0.0041735843,"about_ca_system_score_codex":0.0018276507,"about_ca_system_score_gemma":0.002004406,"threshold_uncertainty_score":0.013260663},"labels":[],"label_agreement":null},{"id":"W3114574636","doi":"10.5430/ijfr.v12n1p111","title":"Sources of State Revenue and State Effectiveness: The Nigerian Experience","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Government revenue; Economics; Government (linguistics); Public economics; State (computer science); Business; Finance","score_opus":0.09094343000088788,"score_gpt":0.33647169228842,"score_spread":0.2455282622875321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114574636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98711747,0.00046396506,0.000048688198,0.001562496,0.000013063112,0.0000042436095,0.00005156052,0.000001332741,0.010737245],"genre_scores_gemma":[0.9981664,0.00053300936,0.000017766384,0.000050813294,0.0000043667806,0.0000014315411,0.000017815111,0.0000014496511,0.0012068709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994894,0.00022316694,0.00002774661,0.000026158861,0.00008326718,0.00015015734],"domain_scores_gemma":[0.9986457,0.00039847198,0.00047625086,0.000047699697,0.00017846367,0.00025352856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012085916,0.00007800347,0.00014581904,0.0003982721,0.0012248048,0.0014960243,0.00018406674,0.00025710103,0.0026192975],"category_scores_gemma":[0.002495664,0.00010540173,0.00008457779,0.0007546483,0.0010910996,0.0011646725,0.0012813458,0.0007693563,0.00018369418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002979698,0.00030477106,0.7774032,0.00024374921,0.000042213374,0.002807502,0.08134324,0.0012322405,0.001022243,0.045912318,0.006171806,0.083218865],"study_design_scores_gemma":[0.00002126085,0.00023057724,0.7511228,0.0005432398,0.000036644866,0.0014763552,0.16620524,0.00084762723,0.0009026913,0.0028623957,0.07571326,0.000037992435],"about_ca_topic_score_codex":0.015668973,"about_ca_topic_score_gemma":0.03637691,"teacher_disagreement_score":0.015668973,"about_ca_system_score_codex":0.0015520103,"about_ca_system_score_gemma":0.0014199249,"threshold_uncertainty_score":0.031155586},"labels":[],"label_agreement":null},{"id":"W3114592699","doi":"10.5430/ijfr.v12n1p60","title":"Market Efficiency of Indian Capital Market: An Event Study Around the Announcement of Results of Lok Sabha Election 2019","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Volatility (finance); Autoregressive conditional heteroskedasticity; Economics; Capital market; Econometrics; Efficient-market hypothesis; Financial economics; Monetary economics; Finance","score_opus":0.15889798701091895,"score_gpt":0.4869179671927115,"score_spread":0.32801998018179257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114592699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968412,0.00009291207,0.00010215183,0.0001456044,0.000015084044,0.000021498125,0.000279878,0.000008288661,0.0024933447],"genre_scores_gemma":[0.9989613,0.00008494608,0.000066587316,0.000032471875,0.000040987197,0.000008742121,0.00034720157,0.0000024859457,0.00045531016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994265,0.00011126939,0.00005162663,0.00007581917,0.00021984203,0.00011500342],"domain_scores_gemma":[0.9957969,0.0012173054,0.0016765413,0.00021116249,0.0006301893,0.00046793124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008786844,0.00019050467,0.00035974575,0.0012011554,0.00044800417,0.0015050331,0.00028368854,0.00038857624,0.0015423937],"category_scores_gemma":[0.0037816293,0.000095800926,0.00032289763,0.0012670701,0.00037228066,0.0006637593,0.0005784569,0.0009789398,0.0003994497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007251795,0.0009391329,0.9649151,0.000114368675,0.00012925047,0.0029519931,0.0034333009,0.0013504549,0.0031409229,0.0017232607,0.003638241,0.01693887],"study_design_scores_gemma":[0.0000076116676,0.00034953616,0.9922051,0.000013622581,0.00003374307,0.00037794575,0.0019532614,0.0029168713,0.0005714909,0.00017880804,0.001362711,0.000029303072],"about_ca_topic_score_codex":0.006304024,"about_ca_topic_score_gemma":0.0060325726,"teacher_disagreement_score":0.006304024,"about_ca_system_score_codex":0.0005645983,"about_ca_system_score_gemma":0.00035755357,"threshold_uncertainty_score":0.012534678},"labels":[],"label_agreement":null},{"id":"W3114643559","doi":"10.5430/ijfr.v12n1p30","title":"The Effect of Financial Performance on the Profitability of Food and Beverage Companies in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Business; Working capital; Asset (computer security); Asset turnover; Return on assets; Descriptive statistics; Indonesian; Finance; Agricultural science; Statistics; Mathematics; Computer science","score_opus":0.034920792029009565,"score_gpt":0.28665145145509185,"score_spread":0.2517306594260823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114643559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982134,0.00016377994,0.000017657965,0.00013279416,0.0000050553967,0.0000017873565,0.000101586855,0.000001721563,0.0013622238],"genre_scores_gemma":[0.9995443,0.00010072953,0.000015306476,0.000010379761,0.000006623765,9.173898e-7,0.00009249695,6.2683335e-7,0.00022853623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995185,0.00009116849,0.00004981192,0.00005397929,0.00015744347,0.0001291572],"domain_scores_gemma":[0.99606127,0.00054952165,0.0021564239,0.00005448889,0.000423841,0.00075443665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005353775,0.00016845603,0.00017224689,0.0006333158,0.00032959264,0.0013329363,0.00021058065,0.00023933129,0.0011838131],"category_scores_gemma":[0.0022783873,0.000073002884,0.00016237372,0.0008104139,0.00035759772,0.00055001705,0.0005680315,0.00056473014,0.0002825729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006639846,0.00007849659,0.99269706,0.000013862119,0.000023424127,0.00025178868,0.00019675371,0.00015149759,0.00019579049,0.00009094091,0.0002232022,0.0060106674],"study_design_scores_gemma":[6.347813e-7,0.000033046952,0.99913824,0.0000058204855,0.0000047525537,0.00005370171,0.00038908015,0.00013584453,0.000064631735,0.000021388032,0.00015046158,0.0000023274229],"about_ca_topic_score_codex":0.00770094,"about_ca_topic_score_gemma":0.011817547,"teacher_disagreement_score":0.00770094,"about_ca_system_score_codex":0.000749918,"about_ca_system_score_gemma":0.0006400973,"threshold_uncertainty_score":0.015312254},"labels":[],"label_agreement":null},{"id":"W3115582758","doi":"10.5430/ijfr.v12n1p92","title":"Valued Added Tax (VAT) Impact on Economic and Societal Well-Beings (Pre-and Post COVID19): A Perception Study From Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; Value-added tax; Public economics; Demographic economics; Business","score_opus":0.07024978666782623,"score_gpt":0.35961649837211596,"score_spread":0.28936671170428974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115582758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990729,0.000093017305,0.000020145431,0.0001814419,0.0000046812975,0.00000434667,0.000013865334,2.8069547e-7,0.000609329],"genre_scores_gemma":[0.9993999,0.00016170517,0.000026834628,0.000087178996,0.0000030204824,0.000002145408,0.000012795291,3.7654715e-7,0.00030605352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941385,0.00021516056,0.000054426433,0.000029627197,0.00014602682,0.00014090094],"domain_scores_gemma":[0.9984189,0.00030353575,0.00051711383,0.000046664412,0.00035834697,0.00035535032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015978621,0.00017204745,0.00014672564,0.00037544468,0.0011146851,0.0010228403,0.0001887431,0.00034783492,0.0016869812],"category_scores_gemma":[0.0020491036,0.000118257696,0.00032157724,0.00030258225,0.0008444452,0.0006805076,0.0007480768,0.0007867519,0.00019319364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018574377,0.00028342134,0.7811323,0.0001685629,0.000073747135,0.0009737302,0.18658298,0.0001270665,0.0021112482,0.0012237469,0.0010814895,0.02605594],"study_design_scores_gemma":[0.000009253507,0.0004502704,0.57948333,0.00013887325,0.00003558016,0.00065415254,0.41016388,0.00032826612,0.0005168174,0.00016427125,0.008020247,0.000035135334],"about_ca_topic_score_codex":0.021268649,"about_ca_topic_score_gemma":0.025130136,"teacher_disagreement_score":0.021268649,"about_ca_system_score_codex":0.0012845846,"about_ca_system_score_gemma":0.0009512628,"threshold_uncertainty_score":0.042289674},"labels":[],"label_agreement":null},{"id":"W3115807593","doi":"10.5430/ijfr.v12n1p129","title":"Management Accounting Research Approaches: A Critical Review","year":2020,"lang":"en","type":"review","venue":"International Journal of Financial Research","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mainstream; Accounting research; Management accounting; Field (mathematics); Management science; Accounting; Sociology; Epistemology; Engineering ethics; Political science; Business; Economics; Engineering; Mathematics","score_opus":0.32901202725493334,"score_gpt":0.4642094304296629,"score_spread":0.13519740317472956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115807593","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018776598,0.99053276,0.0009968188,0.004950139,0.0016438228,0.00012945916,0.000053282816,0.000012788498,0.001493189],"genre_scores_gemma":[0.0028833027,0.9917568,0.002271208,0.0014964093,0.0008458059,0.0002114648,0.000074614814,0.00000865294,0.00045176162],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98592895,0.0054467507,0.0025929182,0.00084633,0.004810916,0.00037409735],"domain_scores_gemma":[0.9299225,0.040935732,0.0034998562,0.0012893769,0.023619827,0.00073274266],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.023154257,0.0012240211,0.0018829055,0.029281883,0.0025896663,0.0071312236,0.0023017325,0.0031245751,0.0032300318],"category_scores_gemma":[0.051898025,0.0011530871,0.0013014307,0.021582251,0.003595886,0.008426194,0.0028744955,0.0043769535,0.0013924238],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096107986,0.00011565208,0.0007915795,0.09281147,0.00022095976,0.0006596533,0.004544601,0.0006123876,0.0008907354,0.044872254,0.13324678,0.72113776],"study_design_scores_gemma":[0.000011134478,0.000055445824,0.0014684377,0.11534854,0.00016730388,0.00054827123,0.0024559537,0.00015931443,0.00025280015,0.010574309,0.8689055,0.00005311066],"about_ca_topic_score_codex":0.0062351814,"about_ca_topic_score_gemma":0.009997695,"teacher_disagreement_score":0.97684574,"about_ca_system_score_codex":0.00918581,"about_ca_system_score_gemma":0.020443564,"threshold_uncertainty_score":0.122452915},"labels":[],"label_agreement":null},{"id":"W3115834242","doi":"10.5430/ijfr.v12n1p1","title":"FDI and Economic Growth in the Central African Economic and Monetary Community (CEMAC) Countries: An Analysis of Seven Economic Indicators","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Economics; Per capita; Index (typography); Real gross domestic product; Inflation (cosmology); Gross domestic product; Recession; World Development Indicators; International economics; Development economics; Monetary economics; Economic growth; Macroeconomics","score_opus":0.039226711420371846,"score_gpt":0.3063066328139194,"score_spread":0.2670799213935475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115834242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99370074,0.00095830695,0.000073043644,0.00053944363,0.000016790988,0.000011132925,0.0006941205,0.0000037886034,0.004002532],"genre_scores_gemma":[0.9981534,0.0006100663,0.00019057293,0.000026651795,0.000009202406,0.000014361696,0.00046953553,0.0000013221703,0.00052484556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970573,0.00006610247,0.000031601186,0.000026424941,0.00005916104,0.00011096484],"domain_scores_gemma":[0.9985214,0.00043450147,0.0005419919,0.000029025081,0.0002979098,0.00017514902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074560364,0.00023778123,0.0001831108,0.002596854,0.00041827123,0.00089030183,0.00015251276,0.00022225482,0.0013186603],"category_scores_gemma":[0.0020138628,0.000094851835,0.00029433772,0.004045704,0.00038805077,0.0008046201,0.00058300525,0.0005007545,0.00012285709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052262945,0.000033761906,0.9862853,0.000070249866,0.000033845663,0.00016099057,0.0010365696,0.0003057755,0.00008271617,0.0010846566,0.0007762551,0.010077628],"study_design_scores_gemma":[0.0000031566926,0.000037767502,0.9900718,0.00009668654,0.000035652876,0.00011614563,0.00586612,0.00075006747,0.000114602495,0.00015007687,0.0027503564,0.0000075085964],"about_ca_topic_score_codex":0.02441042,"about_ca_topic_score_gemma":0.031340823,"teacher_disagreement_score":0.02441042,"about_ca_system_score_codex":0.0012717448,"about_ca_system_score_gemma":0.001475889,"threshold_uncertainty_score":0.04853666},"labels":[],"label_agreement":null},{"id":"W3115848148","doi":"10.5430/ijfr.v12n1p144","title":"Financial and Strategic Pricing Analysis in the Development Market Using an Econometric Model","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Real estate; Profitability index; Econometric model; Economics; Econometrics; Econometric analysis; Finance; Financial economics","score_opus":0.23463690749867724,"score_gpt":0.3536788960882359,"score_spread":0.11904198858955864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115848148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44942445,0.001224783,0.5137509,0.0023588538,0.00014811418,0.00015015552,0.0008069146,0.00029947836,0.031836394],"genre_scores_gemma":[0.97853297,0.00053022825,0.011162893,0.000073618095,0.000087760294,0.00009131163,0.0002317253,0.00002198695,0.009267567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925417,0.00041274063,0.000029457267,0.00008693616,0.00009697634,0.000119747856],"domain_scores_gemma":[0.99736327,0.0021668826,0.00016791583,0.00005670244,0.0001700456,0.0000751963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002054906,0.0004907411,0.0007861692,0.00097112125,0.00042011624,0.0023516035,0.00071680115,0.0011047818,0.0049467487],"category_scores_gemma":[0.005309971,0.0003570523,0.0010718676,0.0011614254,0.00081481144,0.0018968551,0.00070597755,0.001209593,0.0005084012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007330326,0.00014305745,0.0074946517,0.0000622579,0.00006887097,0.00035484345,0.00011973603,0.81603855,0.0003713102,0.16350377,0.0011167999,0.010652901],"study_design_scores_gemma":[0.000012894814,0.00002263376,0.00093239243,0.00000426928,0.000013513881,0.000024255329,0.00003772518,0.9868454,0.00004365139,0.0116501115,0.0004025969,0.000010688424],"about_ca_topic_score_codex":0.012891872,"about_ca_topic_score_gemma":0.0047378126,"teacher_disagreement_score":0.012891872,"about_ca_system_score_codex":0.0012420198,"about_ca_system_score_gemma":0.0011011903,"threshold_uncertainty_score":0.025633633},"labels":[],"label_agreement":null},{"id":"W3116022469","doi":"10.5430/ijfr.v12n1p205","title":"Impact of Accounting Information System on Internal Audit Quality: Mediating Role of Organizational Culture","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Internal audit; Business; Quality audit; Audit; Mediation; Accounting; Organizational culture; Quality (philosophy); Public relations; Sociology; Political science","score_opus":0.0321064313939286,"score_gpt":0.35026365428887357,"score_spread":0.31815722289494497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116022469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862212,0.0005669932,0.00087785773,0.0008879622,0.000025574564,0.000033077296,0.00005747542,0.000016157634,0.011313639],"genre_scores_gemma":[0.9992065,0.00017577404,0.0002249782,0.000048112048,0.0000082648785,0.0000065521267,0.000014363077,0.0000022564689,0.00031331525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99295545,0.004173248,0.00045800649,0.00035836519,0.0012192429,0.00083576905],"domain_scores_gemma":[0.94286114,0.034389596,0.011087592,0.002044313,0.00615804,0.003459385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040772553,0.00037576354,0.0003791389,0.0011880854,0.0010655827,0.0033025492,0.000484011,0.00040337024,0.004967984],"category_scores_gemma":[0.032000348,0.00020423195,0.00053561456,0.0013643587,0.0014333839,0.0015612511,0.002640368,0.00091621245,0.00027805535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026158534,0.00065666856,0.9217651,0.00027804752,0.00040399077,0.0005128342,0.006401695,0.0012139197,0.0011130708,0.0064664413,0.0005096427,0.06041697],"study_design_scores_gemma":[0.00003976975,0.00048762924,0.97608304,0.00035157366,0.0003573892,0.0001964193,0.01280482,0.0030918885,0.0015487708,0.002775021,0.0022217229,0.000041889536],"about_ca_topic_score_codex":0.010817525,"about_ca_topic_score_gemma":0.008963651,"teacher_disagreement_score":0.010817525,"about_ca_system_score_codex":0.001641826,"about_ca_system_score_gemma":0.004922317,"threshold_uncertainty_score":0.021562874},"labels":[],"label_agreement":null},{"id":"W3116218507","doi":"10.5430/ijfr.v12n1p71","title":"Financial Tips on the Need to Identify Active Degassing Structures When Planning Territory Development Using the Functional Zoning Method","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability and Technology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Zoning; Distribution (mathematics); Geography; Business; Environmental planning; Environmental resource management; Political science; Environmental science; Law","score_opus":0.12115076157037435,"score_gpt":0.4086542309927266,"score_spread":0.2875034694223522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116218507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34643182,0.0007637316,0.56167966,0.0025780709,0.0001582275,0.00040788556,0.0013087875,0.00092456746,0.085747235],"genre_scores_gemma":[0.56957674,0.0004337224,0.42306334,0.00007154857,0.000024622868,0.00018650727,0.00047709854,0.000102388665,0.0060640746],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991273,0.00048500055,0.00006427091,0.000080544385,0.00017380425,0.00006909092],"domain_scores_gemma":[0.99785763,0.0011812644,0.00028232223,0.00016819272,0.0004502659,0.000060365972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015113263,0.00039125717,0.00018766799,0.0035549507,0.0011819685,0.001481302,0.00052255316,0.0003498299,0.0103241075],"category_scores_gemma":[0.0060008075,0.00016959728,0.00019762527,0.0038987154,0.0009153403,0.0012486635,0.00093044766,0.00039977024,0.0009397343],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020010797,0.00007867536,0.07389468,0.00069619896,0.00004437978,0.00085568463,0.011710147,0.017487178,0.011667742,0.10107557,0.011554624,0.77073497],"study_design_scores_gemma":[0.00007780243,0.00059538137,0.30317792,0.000980024,0.00020493013,0.0038356213,0.085747615,0.116990976,0.03233551,0.1153738,0.34032968,0.00035073038],"about_ca_topic_score_codex":0.008360008,"about_ca_topic_score_gemma":0.028596334,"teacher_disagreement_score":0.0103241075,"about_ca_system_score_codex":0.00085233396,"about_ca_system_score_gemma":0.0017119258,"threshold_uncertainty_score":0.034537613},"labels":[],"label_agreement":null},{"id":"W3116266768","doi":"10.5430/ijfr.v12n1p220","title":"Governance and Youth Unemployment in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Youth unemployment; Unemployment; Economics; Corporate governance; Granger causality; Capital formation; Government (linguistics); Labour economics; Private sector; Human capital; Development economics; Economic growth; Financial capital; Finance","score_opus":0.11824742480254728,"score_gpt":0.327831992564494,"score_spread":0.20958456776194673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116266768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949443,0.0011659785,0.000050089275,0.0008033759,0.00002234536,0.0000060400384,0.00004718443,0.0000011891954,0.002959553],"genre_scores_gemma":[0.99899966,0.00057227985,0.000018499875,0.000041092408,0.000005803417,0.0000025378968,0.000017362607,5.333762e-7,0.00034221084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996183,0.0001079345,0.00003543195,0.00002871743,0.00003605753,0.00017355169],"domain_scores_gemma":[0.9990127,0.00015288207,0.00043665714,0.00001894747,0.0000634321,0.00031530755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007514549,0.00008035085,0.0002096183,0.00053882675,0.0014308296,0.0015446211,0.000121242774,0.0003455924,0.002911475],"category_scores_gemma":[0.0015199113,0.00012716933,0.00021877437,0.00056782475,0.0005637519,0.00054320635,0.0012147698,0.000589966,0.00012655456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006497981,0.00012048432,0.97569716,0.0000629502,0.000014472432,0.00042774677,0.006583914,0.00015462618,0.0001174453,0.00453467,0.00055517594,0.01166631],"study_design_scores_gemma":[0.000009095765,0.00006265773,0.97263306,0.00032195527,0.000025682453,0.00033678577,0.02009805,0.00061291613,0.00010539903,0.00155189,0.0042339372,0.000008583597],"about_ca_topic_score_codex":0.019533485,"about_ca_topic_score_gemma":0.035091907,"teacher_disagreement_score":0.019533485,"about_ca_system_score_codex":0.0011752633,"about_ca_system_score_gemma":0.0014082849,"threshold_uncertainty_score":0.03883958},"labels":[],"label_agreement":null},{"id":"W3116640808","doi":"10.5430/ijfr.v12n1p76","title":"Central Bank Communication and Policy Interest Rate","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Monetary policy; Inflation targeting; Inflation (cosmology); Economics; Interest rate; Output gap; Bank rate; Real interest rate; Monetary economics; Forward guidance; Central bank; Official cash rate; Governor; Macroeconomics; Credit channel; Engineering","score_opus":0.29415987769095736,"score_gpt":0.3740126608114197,"score_spread":0.07985278312046235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116640808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5990459,0.007138834,0.0126614515,0.025643434,0.0008604859,0.000095503194,0.0014272666,0.00041105648,0.3527161],"genre_scores_gemma":[0.99444276,0.0006091821,0.00043094117,0.00035784897,0.0001698192,0.000021249245,0.00010783665,0.000030342959,0.003829834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9946253,0.0026514295,0.00036904757,0.00048855855,0.0012631571,0.00060248235],"domain_scores_gemma":[0.9308991,0.036457118,0.02141623,0.0020393087,0.0076224254,0.0015658769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00596322,0.00025730924,0.0004660755,0.0011131236,0.0007294929,0.006475185,0.0004510343,0.0013011879,0.009878908],"category_scores_gemma":[0.059187677,0.00018153213,0.00022200744,0.0024048015,0.00092710136,0.0026709617,0.0012018072,0.003058289,0.0027705901],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026522747,0.00083981035,0.24095137,0.00062875147,0.00037265936,0.0014275837,0.01283409,0.04195217,0.0028232336,0.38962987,0.07812363,0.22776458],"study_design_scores_gemma":[0.00059597567,0.00073990354,0.48462215,0.0011169568,0.00045400922,0.001428269,0.013715254,0.10031177,0.006745337,0.22327124,0.16660571,0.00039332837],"about_ca_topic_score_codex":0.0040541934,"about_ca_topic_score_gemma":0.0013604816,"teacher_disagreement_score":0.009878908,"about_ca_system_score_codex":0.002285333,"about_ca_system_score_gemma":0.0016766798,"threshold_uncertainty_score":0.033048213},"labels":[],"label_agreement":null},{"id":"W3117005747","doi":"10.5430/ijfr.v12n1p12","title":"Examining the Factors Affecting Sovereign Credit Rating of Gulf Cooperation Council Countries","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit rating; Sovereign credit; Bond credit rating; Monetary economics; Debt; Gross domestic product; Real gross domestic product; Transparency (behavior); Economics; Financial system; Per capita; Bond; Business; Order (exchange); Affect (linguistics); Credit reference; Credit risk; Finance; Credit default swap; Economic growth; Population","score_opus":0.2576844904024351,"score_gpt":0.33404177849743383,"score_spread":0.07635728809499875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117005747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569076,0.00019465042,0.000051667274,0.0001920661,0.000007030961,0.00000901293,0.00020238842,0.0000019668005,0.0036504355],"genre_scores_gemma":[0.99915445,0.0001609076,0.000068443005,0.000016983686,0.000005043137,0.000003888948,0.00027166642,0.0000010684851,0.00031761656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991523,0.00028081733,0.000109644796,0.00008566699,0.00021743528,0.00015403582],"domain_scores_gemma":[0.99152654,0.0014094494,0.0046546287,0.00022868208,0.0016033021,0.0005773732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017492108,0.00021168929,0.00017892694,0.0015325987,0.0005402314,0.0014180763,0.00018622719,0.00025742137,0.0012124325],"category_scores_gemma":[0.00890002,0.00010247012,0.0001866049,0.0026251413,0.00052444113,0.000563559,0.00067634124,0.00053443835,0.00020419165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034122197,0.000016316953,0.9914349,0.000019547693,0.000019986192,0.00013667271,0.0013947936,0.00026005492,0.000079737285,0.00040780715,0.0007337807,0.005462369],"study_design_scores_gemma":[0.0000022212316,0.000016436785,0.99430263,0.000037149974,0.000010722685,0.000055360902,0.0036091944,0.00040187765,0.000090263544,0.00008288715,0.0013849416,0.000006307908],"about_ca_topic_score_codex":0.03613536,"about_ca_topic_score_gemma":0.02972261,"teacher_disagreement_score":0.03613536,"about_ca_system_score_codex":0.0009923432,"about_ca_system_score_gemma":0.0009851158,"threshold_uncertainty_score":0.07185006},"labels":[],"label_agreement":null},{"id":"W3117164301","doi":"10.5430/ijfr.v12n1p192","title":"Analysis of Zakat Accounting and the Role of the Internal Control System based on Financial Accounting Standards Guidelines (PSAK 109) Zakat Agency in Indonesia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Direcció General de Recerca, Generalitat de Catalunya; Universitas Mercu Buana","keywords":"Accounting; Business; Accountability; Financial accounting; Agency (philosophy); Control (management); Accounting information system; Finance; Political science; Economics; Management; Sociology; Law","score_opus":0.02529472444513865,"score_gpt":0.31814825785582573,"score_spread":0.2928535334106871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117164301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99396175,0.000067435205,0.000095524825,0.00018730253,0.000004392843,0.000017705926,0.00002489375,0.0000039940496,0.0056370567],"genre_scores_gemma":[0.99944013,0.00005211941,0.000065501816,0.000015100283,0.0000011200893,0.000004165866,0.000023202387,0.0000011735414,0.00039750274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751127,0.0007440949,0.00024417043,0.00014927903,0.00093769666,0.00041343356],"domain_scores_gemma":[0.98791194,0.0025825861,0.0056117247,0.00043678947,0.0026433922,0.000813565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034509778,0.00015139852,0.00019795474,0.0011108774,0.0009595951,0.002997324,0.00037651617,0.0002290055,0.0014803411],"category_scores_gemma":[0.007973913,0.00014037956,0.00014705844,0.0024701322,0.0011309959,0.00096433435,0.0009248931,0.0007332482,0.0001539769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007998202,0.00016389441,0.94351584,0.00011094877,0.000021874754,0.00048292705,0.015733909,0.0005406038,0.00066541333,0.005840022,0.0007795929,0.032064974],"study_design_scores_gemma":[0.0000025579102,0.000041801562,0.97997767,0.000061021,0.000014530436,0.00009307912,0.01647363,0.0008223872,0.00029832678,0.00024917413,0.001955547,0.000010375574],"about_ca_topic_score_codex":0.037386052,"about_ca_topic_score_gemma":0.045020547,"teacher_disagreement_score":0.037386052,"about_ca_system_score_codex":0.0035342316,"about_ca_system_score_gemma":0.007707305,"threshold_uncertainty_score":0.07433689},"labels":[],"label_agreement":null},{"id":"W3117180988","doi":"10.5430/ijfr.v12n1p123","title":"Providing Young Families With Housing in Russia: Financial, Economical, Administrative, and Regulatory Aspects","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"State (computer science); Economic growth; Finance; Business; Political science; Sociology; Economics; Computer science","score_opus":0.08249933680067115,"score_gpt":0.38444944623870764,"score_spread":0.30195010943803646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117180988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9440923,0.005504436,0.0023943183,0.0033986669,0.00009200296,0.0000606124,0.0001641432,0.00003026728,0.044263363],"genre_scores_gemma":[0.9951627,0.0016873485,0.0005894043,0.00006401337,0.00001729099,0.000019485404,0.00003892306,0.0000026093567,0.0024182207],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99917394,0.00039130502,0.00005214863,0.000039861792,0.00016743036,0.00017524224],"domain_scores_gemma":[0.99950707,0.00013351227,0.00016085067,0.000022864182,0.00008488725,0.00009080301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011368927,0.000109982015,0.000090296664,0.0007968943,0.001597707,0.0013824886,0.00025046003,0.00027899406,0.001395576],"category_scores_gemma":[0.0014231333,0.00007548883,0.00008771068,0.00063463696,0.0007212362,0.0006887006,0.00081531395,0.00023671785,0.000114070914],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021335894,0.0002646601,0.4327415,0.0011940724,0.00004852606,0.0028512098,0.086006604,0.0020157055,0.005677399,0.12176172,0.0092811985,0.3379441],"study_design_scores_gemma":[0.000012110685,0.0002738797,0.6869854,0.00086714426,0.000056374538,0.0014875685,0.10767984,0.0012726657,0.0029371392,0.008482404,0.18989666,0.000048788424],"about_ca_topic_score_codex":0.009966223,"about_ca_topic_score_gemma":0.013867188,"teacher_disagreement_score":0.009966223,"about_ca_system_score_codex":0.0016733771,"about_ca_system_score_gemma":0.0038194438,"threshold_uncertainty_score":0.019816458},"labels":[],"label_agreement":null},{"id":"W3117249666","doi":"10.5430/ijfr.v12n1p23","title":"Financial Features of Systemically Important Banks Operation in Modern Conditions","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic, Social, and Public Health Issues in Russia and Globally","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Business; Russian federation; Financial system; Process (computing); Order (exchange); Accounting; Finance; Computer science; Economic policy","score_opus":0.18544780601054256,"score_gpt":0.503247762765533,"score_spread":0.3177999567549904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117249666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940621,0.00014657696,0.00026827594,0.00021546135,0.000004902187,0.0000078276835,0.00020240182,0.000006034004,0.005086399],"genre_scores_gemma":[0.9996542,0.000051012794,0.0000456795,0.000006700254,0.00000437828,0.0000013984031,0.000056520377,4.1842975e-7,0.00017954638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999678,0.00006576173,0.00003830321,0.000057778012,0.000076036544,0.00008412858],"domain_scores_gemma":[0.99847394,0.00023648448,0.0008439657,0.0000611162,0.00023933804,0.00014503094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005296087,0.00009934116,0.0001410955,0.0013206368,0.0003629736,0.0011187259,0.00012643733,0.00025577805,0.002544835],"category_scores_gemma":[0.002115168,0.00006587124,0.00013178399,0.0013816159,0.00052217155,0.0007560321,0.0006554055,0.00021128419,0.00020946367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014267847,0.000050691622,0.9656366,0.0000463488,0.00003880195,0.00053154235,0.0022504327,0.0014008238,0.0015207002,0.006312445,0.0011589897,0.020909883],"study_design_scores_gemma":[0.0000025189363,0.00003206041,0.99522805,0.000012238073,0.000010234581,0.00022130669,0.0013615378,0.0006025334,0.00015220518,0.0011762643,0.0011957756,0.0000053573203],"about_ca_topic_score_codex":0.0039034567,"about_ca_topic_score_gemma":0.003123947,"teacher_disagreement_score":0.0039034567,"about_ca_system_score_codex":0.00067902246,"about_ca_system_score_gemma":0.000586974,"threshold_uncertainty_score":0.008513272},"labels":[],"label_agreement":null},{"id":"W3117414833","doi":"10.5430/ijfr.v12n1p214","title":"The Impact of Financial Development on Corporate Performance: Theory and Evidence","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Novelty; Stock market; Business; Generalized method of moments; Financial market; Financial sector development; Financial sector; Empirical research; Economics; Industrial organization; Finance; Econometrics; Panel data","score_opus":0.21005391979944996,"score_gpt":0.3668237320359078,"score_spread":0.15676981223645783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117414833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81350917,0.0767136,0.0049399026,0.013242571,0.00014948114,0.00007470912,0.0008600988,0.000057808356,0.090452805],"genre_scores_gemma":[0.98712885,0.011535389,0.00032343593,0.0002893496,0.00018974888,0.0000074485415,0.0001240381,0.0000052411483,0.00039655773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799937,0.00083060033,0.00011891748,0.00028565968,0.00054058805,0.00022476792],"domain_scores_gemma":[0.9249628,0.056787297,0.0122274645,0.00122701,0.0035404342,0.0012549702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039212755,0.000539311,0.000473829,0.0033828798,0.0003963626,0.0023611237,0.00072543597,0.0009197324,0.0035648083],"category_scores_gemma":[0.018060356,0.00018910896,0.00037444918,0.0030656778,0.0033105107,0.0020281505,0.001377833,0.0010696821,0.0005330068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024406417,0.00040073707,0.835245,0.0008944557,0.00042609448,0.0005654059,0.00082882354,0.0043092524,0.00024558717,0.037951197,0.0022156327,0.116673715],"study_design_scores_gemma":[0.000027812332,0.00041632197,0.95330375,0.0011318239,0.0004108478,0.00030922375,0.002212642,0.0068251924,0.000769284,0.02353487,0.011009375,0.000048869922],"about_ca_topic_score_codex":0.0047033764,"about_ca_topic_score_gemma":0.002646036,"teacher_disagreement_score":0.0047033764,"about_ca_system_score_codex":0.0011709192,"about_ca_system_score_gemma":0.00088195316,"threshold_uncertainty_score":0.020737886},"labels":[],"label_agreement":null},{"id":"W3117828856","doi":"10.5430/ijfr.v11n6p365","title":"Development of a Model for Assessing the Potential Impact of Blockchain Technologies on Economic Growth Dynamics in Financial Markets","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Russian Science Foundation; Russian Foundation for Basic Research","keywords":"Blockchain; Emerging technologies; Financial market; Cointegration; Economics; Financial services; Economic sector; Industrial organization; Business; Computer science; Finance; Economy; Econometrics; Artificial intelligence","score_opus":0.04609957907381638,"score_gpt":0.3716986754560213,"score_spread":0.3255990963822049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117828856","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08154352,0.00064531673,0.8812872,0.0013023765,0.00007564145,0.00017391353,0.0010452676,0.0003345698,0.03359224],"genre_scores_gemma":[0.8953743,0.0009695883,0.08449977,0.0001214751,0.00005249751,0.00071617326,0.00064458145,0.000091074224,0.017530454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997453,0.000106439766,0.000012636907,0.000050297676,0.00003774339,0.00004757213],"domain_scores_gemma":[0.9990484,0.00064427656,0.0001136297,0.000028341263,0.00010950591,0.000055844554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000820471,0.00059382955,0.00086739147,0.00082979,0.00060324237,0.0018769071,0.0015300763,0.0023804156,0.006141982],"category_scores_gemma":[0.002332822,0.0004289375,0.0009647318,0.0007151646,0.00077371404,0.0015415598,0.0013137739,0.0013046284,0.0006034767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002152354,0.0000173399,0.00066305103,0.000041837433,0.000015903826,0.00012483848,0.0000624743,0.9474615,0.00048719926,0.048617862,0.00032016853,0.002166403],"study_design_scores_gemma":[0.0000075057915,0.000010136311,0.000092301016,0.000010712595,0.000007889238,0.000015162663,0.00001999911,0.98722446,0.00010151795,0.011808882,0.0006959713,0.000005577011],"about_ca_topic_score_codex":0.014597092,"about_ca_topic_score_gemma":0.007178496,"teacher_disagreement_score":0.014597092,"about_ca_system_score_codex":0.0014617007,"about_ca_system_score_gemma":0.0018787821,"threshold_uncertainty_score":0.029024243},"labels":[],"label_agreement":null},{"id":"W3117840963","doi":"10.5430/ijfr.v12n1p158","title":"Target Capital Structure of Egyptian Listed Firms: Importance of Growth and Risk Factors","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capital structure; Tax shield; Leverage (statistics); Monetary economics; Panel data; Profitability index; Volatility (finance); Debt; Business; Business risks; Political risk; Economics; Financial economics; Finance; Econometrics; Politics; Public economics; Risk analysis (engineering)","score_opus":0.03340037734746436,"score_gpt":0.2872653262651855,"score_spread":0.25386494891772116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117840963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806565,0.00019051966,0.00009906403,0.00016848034,0.0000015088515,0.0000038204007,0.00016704315,0.0000043610007,0.001299453],"genre_scores_gemma":[0.9991394,0.00007384812,0.000018943476,0.000008666109,0.00000308759,7.5642134e-7,0.00018213534,6.202501e-7,0.00057254394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998807,0.000008977271,0.00000966326,0.000021978205,0.000036013516,0.000042716892],"domain_scores_gemma":[0.9986727,0.00015155526,0.000784481,0.000036390127,0.00022166452,0.00013321012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000237742,0.0001245564,0.000113274225,0.0006897434,0.00016654348,0.0009458466,0.00017669595,0.00022884572,0.0014950173],"category_scores_gemma":[0.0010894757,0.0000589373,0.00012696335,0.0006801896,0.00017509959,0.000583769,0.00035427368,0.0002904127,0.00020391714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041538886,0.000031310225,0.9875809,0.000012867999,0.000026309364,0.00030338712,0.00023125087,0.0013702305,0.00046480415,0.00062536786,0.0005531044,0.008759015],"study_design_scores_gemma":[0.0000020658726,0.000019153604,0.9962443,0.0000053153667,0.000008472977,0.00006921536,0.0003314634,0.0020520973,0.00028312393,0.00021310117,0.000767883,0.0000037925965],"about_ca_topic_score_codex":0.023583401,"about_ca_topic_score_gemma":0.025887493,"teacher_disagreement_score":0.023583401,"about_ca_system_score_codex":0.0008531046,"about_ca_system_score_gemma":0.00040567433,"threshold_uncertainty_score":0.046892285},"labels":[],"label_agreement":null},{"id":"W3118059727","doi":"10.5430/ijfr.v11n6p348","title":"Budget Education and Management as a Necessity for Well-Being and Financial Stability: Cluster & MDS Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Modernization theory; Financial stability; Cluster (spacecraft); Control (management); Financial management; Business; Empirical research; Economic stability; Economics; Finance; Accounting; Actuarial science; Economic growth; Financial system; Macroeconomics; Management; Computer science","score_opus":0.06901428439219853,"score_gpt":0.3473466009331402,"score_spread":0.27833231654094165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118059727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97775567,0.00015203508,0.01118167,0.00038934304,0.000017693883,0.00008721636,0.0006751469,0.000032731783,0.009708398],"genre_scores_gemma":[0.9958556,0.00004244111,0.0029471603,0.000006369236,0.0000054848156,0.000037733866,0.00023078496,0.000004675613,0.00086979003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988826,0.00047263666,0.00008482419,0.00015492401,0.00026515307,0.00013983609],"domain_scores_gemma":[0.9968256,0.0017565205,0.00057373464,0.00023375264,0.00042602397,0.00018443698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015475677,0.0002641565,0.0003070052,0.002587823,0.0006623306,0.0015105293,0.0002798148,0.00017433144,0.004792007],"category_scores_gemma":[0.0052843606,0.00007009347,0.00042739592,0.0036623736,0.0011323413,0.0005489494,0.0012206773,0.00034318972,0.00016150746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027578571,0.00013209724,0.78694946,0.00022838684,0.00029752892,0.0003616216,0.02589073,0.0052499673,0.0008808835,0.04925169,0.0038859153,0.12659596],"study_design_scores_gemma":[0.000009168981,0.00014752401,0.9034776,0.000105959545,0.00011358069,0.00020243178,0.04444454,0.021041859,0.0009689603,0.013895231,0.015541883,0.000051294133],"about_ca_topic_score_codex":0.010341248,"about_ca_topic_score_gemma":0.006483006,"teacher_disagreement_score":0.010341248,"about_ca_system_score_codex":0.0012021952,"about_ca_system_score_gemma":0.0015575123,"threshold_uncertainty_score":0.020562112},"labels":[],"label_agreement":null},{"id":"W3118085206","doi":"10.5430/ijfr.v12n1p149","title":"The Mediating Effect of External Audit Quality on the Relationship Between Corporate Governance and Creative Accounting","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Audit; Corporate governance; Business; Stock exchange; External auditor; Population; Quality (philosophy); Limiting; Quality audit; Creative accounting; Sample (material); Internal audit; Accounting information system; Finance; Engineering; Sociology","score_opus":0.16282194005287975,"score_gpt":0.3687870871089803,"score_spread":0.20596514705610053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118085206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938216,0.00026160493,0.0006866706,0.0005139748,0.000008001859,0.00003337187,0.000016932443,0.0000061849614,0.004651544],"genre_scores_gemma":[0.99942446,0.00007950722,0.00020150242,0.000029379937,0.000004490601,0.0000056022773,0.000007797338,9.0484485e-7,0.00024627897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939832,0.0033193552,0.00039545514,0.0004387244,0.0011343018,0.00072896713],"domain_scores_gemma":[0.9553607,0.0168113,0.019100416,0.0023612578,0.0032445693,0.0031218433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047391457,0.00030054298,0.00023339494,0.00093134394,0.0005996344,0.0023456975,0.00043874327,0.00042495286,0.0025570153],"category_scores_gemma":[0.026424877,0.00018044509,0.00031700457,0.00064512796,0.002297042,0.0010054063,0.0016761945,0.00088541297,0.000117141186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007745806,0.00040235257,0.9673815,0.00009540652,0.00013404935,0.00025833072,0.0042366986,0.0004693371,0.0005810967,0.00395126,0.00018615757,0.022226399],"study_design_scores_gemma":[0.000011737481,0.00017352375,0.9884419,0.00014390564,0.000064390995,0.00016129459,0.0069724936,0.0006908136,0.00043945154,0.0016497351,0.0012372879,0.0000134657275],"about_ca_topic_score_codex":0.0035040963,"about_ca_topic_score_gemma":0.0060974783,"teacher_disagreement_score":0.0047391457,"about_ca_system_score_codex":0.0012049502,"about_ca_system_score_gemma":0.003429824,"threshold_uncertainty_score":0.025063336},"labels":[],"label_agreement":null},{"id":"W3118456683","doi":"10.5430/ijfr.v12n3p92","title":"Is Risk Based Capital Ratio a True Measure of the Soundness of Banks? Evidence From India","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Soundness; Capital adequacy ratio; Risk-adjusted return on capital; Basel II; Basel III; Risk-weighted asset; Asset quality; Capital requirement; Panel data; Asset (computer security); Actuarial science; Market risk; Business; Capital (architecture); Market liquidity; Accounting; Economics; Finance; Econometrics; Financial capital; Computer science; Human capital; Capital formation; Microeconomics","score_opus":0.08176187703398996,"score_gpt":0.3333885290298669,"score_spread":0.2516266519958769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118456683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95607865,0.0067952895,0.001513863,0.006765564,0.00007236349,0.000034334993,0.001472614,0.00004839434,0.027218979],"genre_scores_gemma":[0.99734503,0.0014167067,0.00013545675,0.00030024716,0.000034481058,0.0000042491915,0.00027899828,0.000007485267,0.0004773997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971391,0.000806923,0.00033923273,0.0005027621,0.0008802838,0.00033169473],"domain_scores_gemma":[0.9365664,0.03198685,0.020225808,0.0032018956,0.0069025904,0.0011164289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027870717,0.00027143786,0.0004417346,0.0023082152,0.0005325878,0.0028721238,0.0013028366,0.00059042335,0.0046837428],"category_scores_gemma":[0.025658129,0.0002573291,0.00050599553,0.003959563,0.0031472968,0.002361964,0.0015662407,0.0015885676,0.0012441588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051633024,0.000119557895,0.9018975,0.0008868133,0.0005291285,0.0024526622,0.008436975,0.0011907736,0.00052393734,0.025800936,0.0079621095,0.049683336],"study_design_scores_gemma":[0.00002505942,0.00010202663,0.9698014,0.00042572786,0.00030562823,0.0010201233,0.009198345,0.00090253976,0.00065237505,0.0046650297,0.012853637,0.00004809773],"about_ca_topic_score_codex":0.019865721,"about_ca_topic_score_gemma":0.015754336,"teacher_disagreement_score":0.019865721,"about_ca_system_score_codex":0.0012054794,"about_ca_system_score_gemma":0.0014814939,"threshold_uncertainty_score":0.039500177},"labels":[],"label_agreement":null},{"id":"W3118487598","doi":"10.5430/ijfr.v12n3p1","title":"Half Century of Gold Price: Regime-Switching and Forecasting Framework","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Commodity; Context (archaeology); Economics; Markov chain; Econometrics; Spot contract; Asset (computer security); Markov process; Gold as an investment; Financial economics; Computer science; Finance; Machine learning; Mathematics; Statistics; Futures contract","score_opus":0.08323116387577131,"score_gpt":0.33922876692474263,"score_spread":0.25599760304897134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118487598","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35977104,0.011423571,0.56081027,0.007206651,0.0006085241,0.000074460266,0.00071203953,0.000251748,0.059141695],"genre_scores_gemma":[0.9837495,0.0035754063,0.007362699,0.00014428688,0.00029569768,0.00003160302,0.000151006,0.000022853483,0.0046669305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955195,0.00012856328,0.000021659456,0.00013625404,0.00009636275,0.00006513083],"domain_scores_gemma":[0.9986399,0.0008106036,0.00025874202,0.000086014916,0.0001222171,0.00008248994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012987204,0.00036429527,0.0006670007,0.0011239622,0.0005839268,0.0019062862,0.001084275,0.0015458667,0.0027452454],"category_scores_gemma":[0.004724231,0.00029294772,0.00083583745,0.0011248555,0.0012340912,0.0029545156,0.00087807,0.0016223482,0.0002561212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066986955,0.000059861923,0.013745664,0.00013469614,0.00013070981,0.0005598379,0.0004933398,0.18804444,0.0010920666,0.7675671,0.0025936794,0.025511667],"study_design_scores_gemma":[0.000010537836,0.000039963503,0.0038871896,0.00005436358,0.000045767287,0.00016420592,0.00011181266,0.71466,0.00024905428,0.27652347,0.0042131813,0.00004053829],"about_ca_topic_score_codex":0.005091727,"about_ca_topic_score_gemma":0.0026732923,"teacher_disagreement_score":0.005091727,"about_ca_system_score_codex":0.0009410981,"about_ca_system_score_gemma":0.00066015107,"threshold_uncertainty_score":0.010124207},"labels":[],"label_agreement":null},{"id":"W3118582255","doi":"10.5430/ijfr.v12n2p106","title":"Peer to Peer Lending Industry in China and Its Implication on Economic Indicators: Testing the Mediating Impact of SMEs Performance","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Mainland China; Business; Government (linguistics); Structural equation modeling; People's Republic; Bridge (graph theory); Industrial organization","score_opus":0.06738693322612414,"score_gpt":0.3771793071921843,"score_spread":0.30979237396606013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118582255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969188,0.0001654082,0.00010986475,0.00031959492,0.000007257182,0.000010982541,0.00011182456,0.000004630704,0.002351807],"genre_scores_gemma":[0.99940825,0.00010305359,0.00003511663,0.000014979823,0.0000070027936,0.0000059402246,0.000069230606,9.390351e-7,0.00035548676],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987348,0.00029543112,0.000108942055,0.00016971171,0.00037869188,0.00031246507],"domain_scores_gemma":[0.9939347,0.001519602,0.0021188068,0.00022124052,0.0010399912,0.0011657506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016698614,0.00038366724,0.00037363282,0.0022307297,0.0011066656,0.0014008338,0.00045044866,0.00031548442,0.0024781087],"category_scores_gemma":[0.005488639,0.00011101631,0.0003268705,0.0026067172,0.0010456836,0.0011215648,0.0018276925,0.0005247554,0.00016706598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027092226,0.00006404921,0.9853496,0.000044795208,0.000042461557,0.00032366958,0.002091237,0.00019925497,0.00011610851,0.0011121682,0.0003447535,0.0102848],"study_design_scores_gemma":[0.0000040141667,0.000045923367,0.99377525,0.000030457415,0.00003582343,0.00005313702,0.0036215954,0.0008141894,0.00019403618,0.0002763036,0.001141526,0.0000078154535],"about_ca_topic_score_codex":0.039066896,"about_ca_topic_score_gemma":0.037915535,"teacher_disagreement_score":0.039066896,"about_ca_system_score_codex":0.0014303282,"about_ca_system_score_gemma":0.0037454027,"threshold_uncertainty_score":0.07767904},"labels":[],"label_agreement":null},{"id":"W3118588951","doi":"10.5430/ijfr.v12n1p339","title":"Dynamic Analysis for Measuring the Impact of Remittance Inflows on Inflation: Evidence From Georgia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remittance; Economics; Inflation (cosmology); Monetary economics; Inflation rate; Variable (mathematics); Short run; Macroeconomics; Monetary policy; Economic growth","score_opus":0.1397360236564557,"score_gpt":0.3811246403613456,"score_spread":0.24138861670488987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118588951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972771,0.00012699266,0.00017824491,0.00017525136,0.0000055160563,0.000007855561,0.00054144295,0.0000063299644,0.001681311],"genre_scores_gemma":[0.99862635,0.00012363616,0.0001319823,0.000024958155,0.0000046273867,0.0000044814938,0.00076953584,0.0000020722348,0.00031233107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995596,0.00016194614,0.000028856823,0.00007666438,0.000091140944,0.000081828664],"domain_scores_gemma":[0.99737656,0.000835101,0.00093227695,0.00019678005,0.0004457713,0.00021358418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006986367,0.00015072254,0.00021006328,0.0011395367,0.00028460257,0.0005235788,0.00034743108,0.0002837102,0.0006776933],"category_scores_gemma":[0.0030049998,0.00015421757,0.00039784575,0.002486654,0.00029261023,0.0002438554,0.0005184577,0.0007361549,0.00026549367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016861771,0.00011111796,0.9834926,0.000049696777,0.00012770425,0.00031890147,0.00084835564,0.001923518,0.000906336,0.0009896735,0.001354072,0.009709439],"study_design_scores_gemma":[0.0000058326686,0.00006573635,0.99564606,0.000018812365,0.00004175222,0.00005962068,0.00088517595,0.0018657958,0.00017026858,0.00015145056,0.0010821825,0.000007314034],"about_ca_topic_score_codex":0.10840544,"about_ca_topic_score_gemma":0.17421357,"teacher_disagreement_score":0.10840544,"about_ca_system_score_codex":0.0010394695,"about_ca_system_score_gemma":0.0009287091,"threshold_uncertainty_score":0.21554887},"labels":[],"label_agreement":null},{"id":"W3118772555","doi":"10.5430/ijfr.v12n1p279","title":"The Effects of COVID-19 Pandemic on the Economies of the Gulf Cooperation Council States due to Low Oil Prices","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distributed lag; Oil price; Coronavirus disease 2019 (COVID-19); Economics; Pandemic; World Development Indicators; Economy; Macroeconomics; Monetary economics; International economics; Econometrics; Foreign direct investment","score_opus":0.06723754795769735,"score_gpt":0.3196548397250637,"score_spread":0.2524172917673664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118772555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891844,0.0006532988,0.00016475847,0.0016779965,0.000050679177,0.000008839316,0.0009046964,0.00001381976,0.0073415805],"genre_scores_gemma":[0.9979868,0.00063026225,0.00006464265,0.00009901833,0.000018591212,0.000005239523,0.0004385849,0.000003932899,0.00075299194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958855,0.0001062898,0.000027870004,0.000042159983,0.000102738224,0.00013238631],"domain_scores_gemma":[0.99796766,0.00063496653,0.00077300175,0.00007365965,0.00038624133,0.00016434176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068825576,0.0002992575,0.00017197167,0.0008180236,0.00031815632,0.0013633585,0.00019395982,0.00034662517,0.0021630267],"category_scores_gemma":[0.0039258674,0.00008431673,0.00045203266,0.0011372361,0.00051607547,0.0005846132,0.0008899863,0.0009122786,0.00017114282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000528506,0.00016346811,0.92832035,0.0002623565,0.00041629426,0.0035233716,0.0014444507,0.011704871,0.0019797375,0.0066112382,0.008440152,0.03660519],"study_design_scores_gemma":[0.000017440989,0.00015281959,0.97822833,0.0000791349,0.00016163639,0.0002034157,0.0052786623,0.005340866,0.0019528837,0.0013946239,0.007159109,0.000031066313],"about_ca_topic_score_codex":0.0329786,"about_ca_topic_score_gemma":0.028516773,"teacher_disagreement_score":0.0329786,"about_ca_system_score_codex":0.0009667694,"about_ca_system_score_gemma":0.0010608258,"threshold_uncertainty_score":0.065573275},"labels":[],"label_agreement":null},{"id":"W3118794178","doi":"10.5430/ijfr.v12n1p310","title":"Environmental Reporting and Sustainbility Reports in Oil Companies in Nigeria","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability reporting; Sustainability; Descriptive statistics; Business; Accounting; Corporate sustainability; Corporate social responsibility; Environmental reporting; Index (typography); Petroleum; Public relations; Political science; Statistics","score_opus":0.07496826411317788,"score_gpt":0.35478044000980885,"score_spread":0.279812175896631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118794178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986519,0.00021959456,0.000024799683,0.00020717108,0.0000036347833,0.0000038562803,0.000046332883,0.0000010080422,0.00084153994],"genre_scores_gemma":[0.9992853,0.00040782828,0.000046772475,0.000020415793,0.000004504326,0.0000017658784,0.000036872138,5.983957e-7,0.00019597789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988741,0.0003650239,0.00020219898,0.00008127265,0.00032937244,0.00014799445],"domain_scores_gemma":[0.9854233,0.0034431748,0.009184641,0.0001947303,0.0012902514,0.00046380906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759962,0.00010561321,0.00010331648,0.0016477808,0.00066012936,0.0013439102,0.000191347,0.00024326022,0.00087079004],"category_scores_gemma":[0.007084048,0.000138104,0.0001050338,0.0022518728,0.00049772894,0.000941073,0.0005847121,0.00044386912,0.00009441552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031208318,0.000066013345,0.9840597,0.00006672038,0.000008492289,0.00047190773,0.0062488564,0.00007923672,0.00024278043,0.00037516974,0.00026361912,0.008086412],"study_design_scores_gemma":[0.0000018096295,0.00006943667,0.9610844,0.00010433108,0.000012343901,0.00049424864,0.03568807,0.0002794956,0.00042973738,0.00009884681,0.0017252323,0.000012210405],"about_ca_topic_score_codex":0.016239055,"about_ca_topic_score_gemma":0.020046346,"teacher_disagreement_score":0.016239055,"about_ca_system_score_codex":0.00088848785,"about_ca_system_score_gemma":0.0011056593,"threshold_uncertainty_score":0.03228903},"labels":[],"label_agreement":null},{"id":"W3118847320","doi":"10.5430/ijfr.v12n3p70","title":"Applying the ARIMA Model to the Process of Forecasting GDP and CPI in the Jordanian Economy","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Gross domestic product; Economics; Real gross domestic product; Inflation (cosmology); Econometrics; Consumer price index (South Africa); GDP deflator; Order (exchange); Index (typography); Macroeconomics; Economy; Time series; Monetary policy; Statistics; Computer science; Mathematics; Finance","score_opus":0.26346359906836175,"score_gpt":0.3700391755790372,"score_spread":0.10657557651067545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118847320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5412119,0.0027347854,0.44345754,0.0017660578,0.00032594378,0.00016447675,0.0009797785,0.0005226362,0.008836814],"genre_scores_gemma":[0.92704463,0.0018100701,0.0659231,0.00011568722,0.00012397348,0.00014332817,0.0008081666,0.000039065904,0.003991936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904305,0.00041308574,0.00007266174,0.00020847273,0.00016504011,0.00009761987],"domain_scores_gemma":[0.9990895,0.0005266452,0.00013739194,0.000030119787,0.0001935439,0.00002277224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022615003,0.0005711134,0.0005192541,0.0009027721,0.00043742635,0.0014550934,0.0008058072,0.0008440506,0.0009275882],"category_scores_gemma":[0.004470557,0.00037744734,0.000758853,0.0014105809,0.0003084298,0.0013039421,0.00051653956,0.0011753596,0.00027456172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023823912,0.00016381823,0.057764288,0.0002690566,0.00040276934,0.0006287693,0.0008808062,0.7896187,0.002711318,0.02087643,0.0030764688,0.123369366],"study_design_scores_gemma":[0.000018643663,0.00007801877,0.0091184145,0.000030014844,0.00006409576,0.00006371892,0.00019667936,0.9808425,0.00087428733,0.006145692,0.0025289622,0.0000390241],"about_ca_topic_score_codex":0.024540108,"about_ca_topic_score_gemma":0.0180957,"teacher_disagreement_score":0.024540108,"about_ca_system_score_codex":0.0007930585,"about_ca_system_score_gemma":0.0016009558,"threshold_uncertainty_score":0.048794508},"labels":[],"label_agreement":null},{"id":"W3118912498","doi":"10.5430/ijfr.v12n2p1","title":"Financial Risk Tolerance: The Case of Older Chinese in Klang Valley, Malaysia 2020","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Workforce; Government (linguistics); Pension; Agency (philosophy); Finance; China; Retirement planning; Financial literacy; Financial risk; Demographic economics; Economic growth; Economics; Political science","score_opus":0.019646885902397746,"score_gpt":0.33318554871835077,"score_spread":0.313538662815953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118912498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990332,0.000078461744,0.000009829157,0.00037422872,0.0000045998786,0.000005342048,0.000018462937,5.142379e-7,0.0004753231],"genre_scores_gemma":[0.99910647,0.00018795159,0.000023492861,0.00018769079,0.0000066896378,0.000004025742,0.000014207687,7.73595e-7,0.00046862845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996296,0.00006689895,0.000024796942,0.00003251837,0.00005423334,0.00019198789],"domain_scores_gemma":[0.99908173,0.00009404067,0.00022729136,0.000027219548,0.00008338425,0.00048639296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005735939,0.00036456,0.000352132,0.0008700399,0.004201318,0.0011922829,0.0006065209,0.00088827754,0.0018524693],"category_scores_gemma":[0.0013704292,0.0002508864,0.00036808432,0.00095323793,0.0010741446,0.0009297321,0.001539759,0.0013599978,0.00020630717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000951418,0.00038418348,0.81432986,0.000059390877,0.000023856805,0.038505632,0.13579485,0.00005570718,0.0004423418,0.0005945756,0.0010397239,0.008674784],"study_design_scores_gemma":[0.00000790375,0.0003256112,0.5980081,0.00012873622,0.00003934329,0.022592047,0.3759172,0.00035992786,0.0001961754,0.00033746473,0.0020430603,0.000044517124],"about_ca_topic_score_codex":0.071908236,"about_ca_topic_score_gemma":0.10809557,"teacher_disagreement_score":0.071908236,"about_ca_system_score_codex":0.0023453773,"about_ca_system_score_gemma":0.0020888736,"threshold_uncertainty_score":0.14297938},"labels":[],"label_agreement":null},{"id":"W3119106038","doi":"10.5430/ijfr.v12n1p329","title":"Board Structure of Corporate Organizations and Earnings Management: Does Size and Independence of Corporate Boards Matter for Nigerian Firms?","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Earnings management; Business; Independence (probability theory); Earnings; Order (exchange); Finance","score_opus":0.016755347434506355,"score_gpt":0.27316620317668194,"score_spread":0.2564108557421756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119106038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973454,0.00020678701,0.00007447066,0.00020379125,0.000006132883,0.000005814287,0.000024578061,7.227724e-7,0.0021323184],"genre_scores_gemma":[0.99947435,0.00008735794,0.000040960753,0.00001459778,0.0000060965112,0.0000015316494,0.000027049999,4.0938494e-7,0.00034762942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920267,0.00020678541,0.000081983366,0.00011407866,0.00020114364,0.00019334776],"domain_scores_gemma":[0.9876402,0.0032775588,0.0071189776,0.0003235217,0.0007134766,0.00092623226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013629743,0.00012383673,0.00013669142,0.00069022994,0.00062432745,0.0012884843,0.00022546793,0.00026183957,0.0029018412],"category_scores_gemma":[0.0068666292,0.000104849976,0.00012273378,0.00068142597,0.000781572,0.0008104568,0.0006000252,0.0004562235,0.00018543002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038565508,0.000050199473,0.9916386,0.000011651647,0.000011608203,0.00008181739,0.0009369243,0.00005004345,0.00015179803,0.00037439,0.000104158265,0.006550172],"study_design_scores_gemma":[0.000001487242,0.00003058675,0.99701154,0.000021921367,0.000008317042,0.0000316567,0.0021190168,0.000083332976,0.00006112088,0.00013261808,0.00049591955,0.0000023344178],"about_ca_topic_score_codex":0.009727047,"about_ca_topic_score_gemma":0.023484841,"teacher_disagreement_score":0.009727047,"about_ca_system_score_codex":0.00067574176,"about_ca_system_score_gemma":0.00093827775,"threshold_uncertainty_score":0.019340873},"labels":[],"label_agreement":null},{"id":"W3119110052","doi":"10.5430/ijfr.v12n3p43","title":"The Determinants of Tax Revenues: Empirical Evidence From Jordan","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Tax revenue; Short run; Monetary economics; Openness to experience; Per capita; Error correction model; Revenue; Government revenue; Value (mathematics); Macroeconomics; Cointegration; Econometrics; Finance","score_opus":0.2592688546648193,"score_gpt":0.4186764545036617,"score_spread":0.1594075998388424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119110052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917733,0.001876192,0.00015769487,0.001082163,0.000008902103,0.000009248658,0.0005186954,0.0000073985234,0.004566507],"genre_scores_gemma":[0.9951261,0.0023833672,0.00012413725,0.0000865213,0.000029958477,0.00000562821,0.0008107285,0.000004481431,0.0014289058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997087,0.00007970994,0.000023724018,0.00003917365,0.00008352694,0.000065132044],"domain_scores_gemma":[0.99639565,0.0009075403,0.0014366297,0.00007421578,0.00085634197,0.00032961913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080069224,0.0002037084,0.00025627945,0.0012448748,0.00036988623,0.001274254,0.0002875134,0.00020256895,0.003225285],"category_scores_gemma":[0.0026537168,0.00013475717,0.00026237912,0.0023517266,0.0003632334,0.00057350623,0.00056712865,0.0005479771,0.00053407275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010354883,0.00022671002,0.9693953,0.00014752922,0.0001077734,0.00072971196,0.0008155325,0.0023787257,0.00012586704,0.003246341,0.0033497533,0.0193732],"study_design_scores_gemma":[0.000041928575,0.0001029525,0.96681565,0.0002552389,0.00011311111,0.0003426763,0.007240906,0.005439115,0.00046938864,0.0018670874,0.017293436,0.000018540934],"about_ca_topic_score_codex":0.019913195,"about_ca_topic_score_gemma":0.023172708,"teacher_disagreement_score":0.019913195,"about_ca_system_score_codex":0.00093811424,"about_ca_system_score_gemma":0.0022824677,"threshold_uncertainty_score":0.03959459},"labels":[],"label_agreement":null},{"id":"W3119269136","doi":"10.5430/ijfr.v12n2p138","title":"Financial Openness and Economic Growth in Côte d’Ivoire: The Total Factor Productivity Channel","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Total factor productivity; Openness to experience; Economics; Productivity; Inflation (cosmology); Ordinary least squares; Monetary economics; Cote d ivoire; International economics; Macroeconomics; Econometrics","score_opus":0.04296425682403118,"score_gpt":0.31880848621918373,"score_spread":0.2758442293951525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119269136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99071234,0.0019179346,0.00043064175,0.0005213455,0.0000312392,0.000011813268,0.0007945502,0.00001163021,0.0055684876],"genre_scores_gemma":[0.99750805,0.0007685451,0.0002154956,0.000025909569,0.0000113442,0.000008018485,0.00045043626,0.000004916995,0.0010073151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996207,0.00008426636,0.000020251273,0.00006887406,0.00006840329,0.00013753213],"domain_scores_gemma":[0.9981664,0.00063537585,0.0005411506,0.0000649072,0.00032780462,0.0002644147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978597,0.0004096403,0.0003826295,0.002306628,0.00037389205,0.0014897153,0.00020544426,0.00024532902,0.002165186],"category_scores_gemma":[0.0021502431,0.00014754132,0.00033716875,0.0031312942,0.00053894205,0.0006944706,0.0008496718,0.00059050386,0.00015433703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011026298,0.00004333633,0.9710754,0.00010955118,0.00012606739,0.0009895979,0.0009259969,0.0031368854,0.0008206081,0.0041593015,0.00090309506,0.017599922],"study_design_scores_gemma":[0.000006226109,0.000018945013,0.9940499,0.00005913401,0.0000204921,0.00011884074,0.00084407686,0.0014118765,0.0002004104,0.00040578234,0.0028554313,0.000008936283],"about_ca_topic_score_codex":0.16347754,"about_ca_topic_score_gemma":0.1487208,"teacher_disagreement_score":0.16347754,"about_ca_system_score_codex":0.002378954,"about_ca_system_score_gemma":0.0013593697,"threshold_uncertainty_score":0.32505196},"labels":[],"label_agreement":null},{"id":"W3119400099","doi":"10.5430/ijfr.v12n2p62","title":"Revisiting the Impact of Mobile Banking in Financial Inclusion Among the Developing Countries","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unbanked; Financial inclusion; Mobile banking; Mobile phone; Developing country; Business; Mobile payment; Financial services; Finance; Financial system; Economics; Marketing; Economic growth; Telecommunications; Computer science","score_opus":0.05644030649634448,"score_gpt":0.3706523937960777,"score_spread":0.3142120872997332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119400099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940253,0.0007143053,0.00012519125,0.0010726823,0.000013445318,0.000013796611,0.00019980258,0.0000019898737,0.0038335018],"genre_scores_gemma":[0.9994832,0.00022619186,0.000040818395,0.00004683437,0.000005913025,0.000004469238,0.000044755692,7.2878464e-7,0.00014703014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986077,0.00057047326,0.00009126436,0.000108644024,0.00015242783,0.00046958553],"domain_scores_gemma":[0.9958769,0.0016887647,0.0012984178,0.00014744712,0.0005192738,0.0004692013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016061608,0.00031661283,0.00032351696,0.0015532492,0.0009832891,0.0021253717,0.00034612423,0.00035668985,0.002931903],"category_scores_gemma":[0.007239204,0.00017091694,0.0006175075,0.0022510663,0.0012971924,0.0021749125,0.003068032,0.000993219,0.00018314658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007269559,0.00010617004,0.9751711,0.000081649465,0.00007165494,0.0003524392,0.0038652213,0.0004074337,0.00009138379,0.0026046378,0.00043611779,0.016739523],"study_design_scores_gemma":[0.0000064788132,0.00009561356,0.97857934,0.00024257746,0.00011081587,0.000107827414,0.016412454,0.0009592275,0.0002308927,0.00065641204,0.0025886628,0.000009655613],"about_ca_topic_score_codex":0.03536177,"about_ca_topic_score_gemma":0.0320402,"teacher_disagreement_score":0.03536177,"about_ca_system_score_codex":0.0013058473,"about_ca_system_score_gemma":0.0020695876,"threshold_uncertainty_score":0.070311904},"labels":[],"label_agreement":null},{"id":"W3119422015","doi":"10.5430/ijfr.v12n2p75","title":"Financial Behavior of Family Businesses: A Bibliometric and Systematic Literature Review","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Centre National pour la Recherche Scientifique et Technique","keywords":"Scopus; Underpinning; Context (archaeology); Thematic analysis; Business; Systematic review; Web of science; Perspective (graphical); Field (mathematics); Finance; Accounting; Knowledge management; Sociology; Qualitative research; Political science; Computer science; Social science","score_opus":0.06252159278560493,"score_gpt":0.37405593622213845,"score_spread":0.3115343434365335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119422015","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039343227,0.94260365,0.0009462949,0.0019498713,0.0002707021,0.0011076591,0.009902461,0.00005920709,0.0038168342],"genre_scores_gemma":[0.13019939,0.8591653,0.0035783786,0.0005378387,0.00020432053,0.0012008481,0.0047138683,0.000017358947,0.0003826121],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9868339,0.0030171045,0.0051295077,0.000795317,0.0038456342,0.00037848958],"domain_scores_gemma":[0.92748946,0.0497456,0.0107779605,0.0014943829,0.009635725,0.00085690845],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.013099751,0.00083512656,0.0033548928,0.12958321,0.0016833552,0.003575612,0.0012086453,0.0013615148,0.0034465364],"category_scores_gemma":[0.055861406,0.000686177,0.002667887,0.10839969,0.0011225663,0.0032238201,0.0018573604,0.00061118964,0.0004212397],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028297387,0.00015538611,0.045934107,0.64044726,0.0047736885,0.0011335461,0.0025697446,0.0003983051,0.0007937357,0.0015396962,0.008220611,0.293751],"study_design_scores_gemma":[0.00013775718,0.00055783254,0.17411582,0.65573066,0.03518694,0.004023686,0.008796656,0.0007054577,0.0014185036,0.0019683458,0.11716518,0.00019306326],"about_ca_topic_score_codex":0.0071133007,"about_ca_topic_score_gemma":0.01600437,"teacher_disagreement_score":0.87041676,"about_ca_system_score_codex":0.003837072,"about_ca_system_score_gemma":0.018479753,"threshold_uncertainty_score":0.069278896},"labels":[],"label_agreement":null},{"id":"W3119546588","doi":"10.5430/ijfr.v12n2p27","title":"Financial Inclusion and Tax Revenue: Evidence From Europe","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Revenue; Tax revenue; Business; Panel data; Tax credit; Inclusion (mineral); Credit card; Finance; Financial system; Economics; Monetary economics; Public economics; Payment; Financial services; Econometrics","score_opus":0.11424078826923956,"score_gpt":0.3633082756322257,"score_spread":0.24906748736298612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119546588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97655475,0.009749563,0.00036308015,0.0011938171,0.00007315395,0.000012729089,0.003027443,0.000011608397,0.009013838],"genre_scores_gemma":[0.9931503,0.003244832,0.00010707905,0.00021756015,0.000060057657,0.0000048589554,0.002616995,0.000007666857,0.00059071986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989201,0.00027471205,0.00016216791,0.00018664433,0.00025770016,0.00019868507],"domain_scores_gemma":[0.99008733,0.0021409553,0.0057502594,0.00042388047,0.00097528816,0.00062228425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017628889,0.00019967715,0.0004028693,0.0027020397,0.00031935307,0.001673405,0.0003701658,0.0003370349,0.0026410776],"category_scores_gemma":[0.007269292,0.00012263142,0.0005311116,0.0048648245,0.00062361057,0.0010859082,0.0015536892,0.0005881834,0.00038170544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029984998,0.00010160151,0.96766704,0.0003018489,0.00034831805,0.00043140736,0.00056151516,0.00060186663,0.000055820616,0.0026143244,0.002745272,0.024271121],"study_design_scores_gemma":[0.000012040933,0.000050670245,0.9883888,0.00041027268,0.000102449296,0.00032569375,0.00082360965,0.00018175069,0.00016376286,0.00031623244,0.009211991,0.000012629698],"about_ca_topic_score_codex":0.0076023713,"about_ca_topic_score_gemma":0.0062867883,"teacher_disagreement_score":0.0076023713,"about_ca_system_score_codex":0.00035472773,"about_ca_system_score_gemma":0.00048596185,"threshold_uncertainty_score":0.015116215},"labels":[],"label_agreement":null},{"id":"W3119592957","doi":"10.5430/ijfr.v12n1p286","title":"Economic Assessment of Optimization of Machine-Building Production on the Basis of Restructuring Outsourcing Taking Into Account the Cyclical Nature of Economic Development","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Outsourcing; Restructuring; Production (economics); Work (physics); Business; Industrial organization; Knowledge process outsourcing; Value (mathematics); Productivity; Economic restructuring; Operations management; Economics; Computer science; Marketing; Finance; Microeconomics; Economy; Economic growth; Engineering","score_opus":0.024471258362017773,"score_gpt":0.3190098955500466,"score_spread":0.29453863718802886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119592957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87882596,0.0018189116,0.0877547,0.00073766074,0.00005387628,0.00022298071,0.00033889947,0.00004628565,0.030200804],"genre_scores_gemma":[0.99491477,0.00037575804,0.003789241,0.000009314391,0.000008353236,0.000034441546,0.00005417532,0.000008206542,0.00080581126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99931145,0.00040056632,0.000019300576,0.000047514946,0.00013221374,0.00008896013],"domain_scores_gemma":[0.99832433,0.0012007758,0.00018321026,0.00006631665,0.00013800252,0.0000873107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018153717,0.00057797495,0.0005975318,0.0009419934,0.0003596336,0.0013823129,0.00060587097,0.000770751,0.0011090027],"category_scores_gemma":[0.0035950148,0.00027266782,0.0008516553,0.0010642137,0.0007699992,0.00092540035,0.0007034463,0.00072393526,0.00004594165],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010706638,0.00005107907,0.0035489784,0.00007376749,0.000035862096,0.00016656991,0.000027584094,0.9781091,0.0005933105,0.0106854215,0.00018955514,0.006411681],"study_design_scores_gemma":[0.000009239701,0.00014679041,0.0049962173,0.000014962187,0.00003326437,0.000034418004,0.00011428202,0.9906844,0.00048164703,0.0030280466,0.00044464003,0.000012202084],"about_ca_topic_score_codex":0.006957009,"about_ca_topic_score_gemma":0.0037990205,"teacher_disagreement_score":0.006957009,"about_ca_system_score_codex":0.0020448384,"about_ca_system_score_gemma":0.001582632,"threshold_uncertainty_score":0.014836431},"labels":[],"label_agreement":null},{"id":"W3119718292","doi":"10.5430/ijfr.v12n2p10","title":"Financial Sustainability Assessment of the Largest Systemically Important Credit Institutions in the Context of the Global Instability","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic, Social, and Public Health Issues in Russia and Globally","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Asset quality; Market liquidity; Profitability index; Business; Capital adequacy ratio; Financial system; Economic stability; Context (archaeology); Asset (computer security); Return on assets; Finance; Debt; National bank; Economics; Profit (economics); Macroeconomics","score_opus":0.15517397680384457,"score_gpt":0.5242168334599713,"score_spread":0.3690428566561267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119718292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852415,0.0010766322,0.0015515172,0.00043597136,0.000014413497,0.000034271467,0.0005507338,0.000023911927,0.011071008],"genre_scores_gemma":[0.99838734,0.0003999828,0.00037336096,0.000019371957,0.000010313517,0.0000072688986,0.00025638443,0.0000029541059,0.00054302934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948335,0.00007659416,0.00005916255,0.00006192358,0.00023569992,0.00008325277],"domain_scores_gemma":[0.9981762,0.00023544916,0.00063708134,0.000044456803,0.00074120687,0.0001655963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136398,0.00026954006,0.00021681057,0.0032026006,0.00034649402,0.0017528606,0.00019547816,0.00039411173,0.0009790522],"category_scores_gemma":[0.0025667886,0.00007588522,0.0001936839,0.0020733136,0.000462709,0.0013616632,0.0009509709,0.00024898408,0.00015913694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115971416,0.00007086722,0.89621246,0.00023236978,0.00010670508,0.00092557387,0.0013767612,0.008350356,0.003355083,0.0049511436,0.0021940197,0.082108624],"study_design_scores_gemma":[0.000005481676,0.00012116393,0.97317696,0.00013329317,0.000076703356,0.00038754087,0.0032285403,0.010197128,0.00238596,0.0024310632,0.007831195,0.000025079295],"about_ca_topic_score_codex":0.0042268164,"about_ca_topic_score_gemma":0.0037080965,"teacher_disagreement_score":0.0042268164,"about_ca_system_score_codex":0.00079801714,"about_ca_system_score_gemma":0.0007892821,"threshold_uncertainty_score":0.008404374},"labels":[],"label_agreement":null},{"id":"W3119770190","doi":"10.5430/ijfr.v12n1p260","title":"Ramadan Effect: A Structural Time-Series Test","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Seasonality; Econometrics; Stock (firearms); Economics; Structural break; Stock market; Term (time); Time series; Financial economics; Series (stratigraphy); Mathematics; Statistics; Geography","score_opus":0.01817438104284561,"score_gpt":0.31801638767925355,"score_spread":0.2998420066364079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119770190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987324,0.00019618582,0.0050244913,0.0007034306,0.00010299336,0.000058296955,0.00047734095,0.00005253032,0.006060809],"genre_scores_gemma":[0.99831164,0.00005236101,0.00053925224,0.000056293626,0.0000683444,0.000022324102,0.00031032652,0.0000093175,0.0006300891],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962167,0.0014389411,0.0002963934,0.0011421466,0.0005178716,0.0003878683],"domain_scores_gemma":[0.9431282,0.045572586,0.005703213,0.0023925693,0.0012967702,0.0019065697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007222161,0.0005326604,0.0009910441,0.0012291272,0.00062889786,0.0012073858,0.0013588391,0.0012665258,0.01908347],"category_scores_gemma":[0.025993507,0.00021860693,0.001915869,0.0010592898,0.001561101,0.0022817499,0.0013701702,0.0015519926,0.0012445516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049539567,0.0016717444,0.8967601,0.00028606202,0.0036694065,0.0015618963,0.0014157952,0.006737599,0.0048552067,0.024687445,0.0031088614,0.05029196],"study_design_scores_gemma":[0.0006431577,0.0053814873,0.8796079,0.0000768316,0.0011845387,0.0005785752,0.0027091412,0.09005238,0.001996231,0.013782645,0.0038931984,0.00009392263],"about_ca_topic_score_codex":0.0030992238,"about_ca_topic_score_gemma":0.0015235353,"teacher_disagreement_score":0.01908347,"about_ca_system_score_codex":0.00042097695,"about_ca_system_score_gemma":0.00091798406,"threshold_uncertainty_score":0.06384057},"labels":[],"label_agreement":null},{"id":"W3119775707","doi":"10.5430/ijfr.v12n3p19","title":"Estimating the Translog Cost Function for the Telecommunications Sector in Saudi Arabia: The Case of Saudi Telecom Company: An Empirical Study","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telecommunications; Revenue; Telecommunications service; Returns to scale; Business; Telecom infrastructure sharing; Capital expenditure; Economies of scale; Estimation; Industrial organization; Economics; Marketing; Finance; Production (economics); Computer science; Microeconomics","score_opus":0.12057302009088461,"score_gpt":0.438278298992031,"score_spread":0.3177052789011464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119775707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99046224,0.00047109713,0.00708447,0.0002198807,0.000008650665,0.00006156573,0.00046733094,0.000022649932,0.0012021996],"genre_scores_gemma":[0.9929182,0.00040422386,0.004641863,0.000025883466,0.000009220351,0.000034336685,0.0010298811,0.000010945397,0.00092550885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99940336,0.00025811806,0.00004210942,0.000079228514,0.00008747303,0.00012982172],"domain_scores_gemma":[0.9919922,0.006052079,0.00073976594,0.0002242676,0.00081003725,0.00018170233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025942137,0.0008417424,0.00056925206,0.0023416323,0.0006138719,0.0020563046,0.00080156664,0.001401385,0.0029676587],"category_scores_gemma":[0.0077084056,0.00035380252,0.00093266444,0.0019927628,0.00048281247,0.0016540319,0.0007253589,0.0011437247,0.00047013912],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005354569,0.0007940433,0.30244222,0.0005842921,0.0002183793,0.0025303601,0.0010624967,0.6239982,0.0013378349,0.010773837,0.0031103266,0.05261253],"study_design_scores_gemma":[0.000038312075,0.00022570381,0.069375016,0.00010884242,0.000097988406,0.00033420193,0.0031296108,0.92139876,0.0010292074,0.0018031138,0.002407171,0.000052093532],"about_ca_topic_score_codex":0.092268676,"about_ca_topic_score_gemma":0.03241173,"teacher_disagreement_score":0.092268676,"about_ca_system_score_codex":0.0036549014,"about_ca_system_score_gemma":0.0013705825,"threshold_uncertainty_score":0.18346322},"labels":[],"label_agreement":null},{"id":"W3119874210","doi":"10.5430/ijfr.v12n2p55","title":"Impact of Covid-19 in the European Start-ups Business and the Idea to Re-energise the Economy","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scrutiny; Context (archaeology); Coronavirus disease 2019 (COVID-19); Order (exchange); European union; Pandemic; European economy; Economy; Business; Economics; Political science; Market economy; Economic policy; Geography; Law; Finance","score_opus":0.1326345620780867,"score_gpt":0.403957400972087,"score_spread":0.27132283889400033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119874210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68970263,0.008570121,0.0035691694,0.019700116,0.0003937923,0.000101655525,0.00028896643,0.00003346599,0.2776401],"genre_scores_gemma":[0.9945426,0.0012301491,0.0003046741,0.00055666297,0.00003976821,0.000008478316,0.000050283328,0.0000040828218,0.0032633247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9972172,0.0012320676,0.00009346177,0.00018829395,0.00054515066,0.0007238173],"domain_scores_gemma":[0.99575835,0.0018614187,0.0008402175,0.00024267535,0.00056589366,0.0007314448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030826104,0.00028176824,0.00023073825,0.00096956076,0.0011442826,0.0056629363,0.00035295254,0.0017533104,0.0060268715],"category_scores_gemma":[0.0063458807,0.00008943603,0.00036959528,0.0009260265,0.0025892842,0.0026252037,0.0035801833,0.0017609264,0.00043348293],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001002672,0.00086977106,0.10591703,0.0006839077,0.00016795912,0.0062731192,0.006138475,0.017820071,0.002377,0.728438,0.01623728,0.114074655],"study_design_scores_gemma":[0.00021805314,0.0021587017,0.2957529,0.0025434957,0.00025880648,0.0021540786,0.06982403,0.013089698,0.008107319,0.22699413,0.3785772,0.00032163193],"about_ca_topic_score_codex":0.0034038434,"about_ca_topic_score_gemma":0.003030813,"teacher_disagreement_score":0.0060268715,"about_ca_system_score_codex":0.0035120873,"about_ca_system_score_gemma":0.0021271645,"threshold_uncertainty_score":0.025482059},"labels":[],"label_agreement":null},{"id":"W3120021583","doi":"10.5430/ijfr.v12n1p232","title":"Accreditation of Tour Guides: The World Experience and the Implementation in Russian Hospitality Industry","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Accreditation; Certification; Tourism; Marketing; Destinations; Business; Quality (philosophy); Government (linguistics); Public relations; Hospitality; Work (physics); Political science; Management; Economics; Engineering","score_opus":0.12681658473174026,"score_gpt":0.5174706842880815,"score_spread":0.3906540995563412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120021583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926528,0.00019249515,0.00007790528,0.0005976259,0.000016668482,0.000005428071,0.000014744335,0.000005722031,0.006436589],"genre_scores_gemma":[0.99536645,0.00034975866,0.00007442943,0.000113040674,0.0000072404932,0.0000027323188,0.000019272295,0.000008846551,0.0040581925],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982558,0.0007342499,0.000053111486,0.0001360789,0.00031396575,0.0005068699],"domain_scores_gemma":[0.9982162,0.0003583101,0.00040193784,0.00009374314,0.00028121477,0.0006486029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002648991,0.00017819635,0.00019272852,0.0005941038,0.003289252,0.0027376735,0.00060720753,0.0008038071,0.0030191564],"category_scores_gemma":[0.0033392992,0.00025874496,0.00018133198,0.00085971167,0.0025725046,0.0018762964,0.0022139982,0.0012382711,0.00045992588],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005263376,0.00015663014,0.08418459,0.00013477249,0.000010384592,0.0018970197,0.88384545,0.00015159138,0.0010023544,0.0045202803,0.003193876,0.0208505],"study_design_scores_gemma":[0.0000031562247,0.00015047194,0.13838936,0.00009116884,0.000007345767,0.000857607,0.80951434,0.00019856708,0.00034879465,0.0001446397,0.050261427,0.000033010827],"about_ca_topic_score_codex":0.03747371,"about_ca_topic_score_gemma":0.0547747,"teacher_disagreement_score":0.03747371,"about_ca_system_score_codex":0.002942516,"about_ca_system_score_gemma":0.0025619392,"threshold_uncertainty_score":0.07451117},"labels":[],"label_agreement":null},{"id":"W3120077618","doi":"10.5430/ijfr.v12n3p31","title":"Remuneration, Personnel Expenses and Third Party Expenses in Times of Covid-19 in the Financial Sector","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remuneration; Payment; Business; Coronavirus disease 2019 (COVID-19); Finance; Operating expense; Accounting; Value (mathematics); Medicine","score_opus":0.1373437087060075,"score_gpt":0.34895886598190234,"score_spread":0.21161515727589483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120077618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819946,0.00020434463,0.000049774753,0.00008255073,0.0000051606708,0.000003715369,0.00027896528,0.0000023715834,0.0011736406],"genre_scores_gemma":[0.9989588,0.00011920118,0.000048127422,0.000009630846,0.000010509474,0.0000051952243,0.00037849534,0.0000015718626,0.00046842045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948114,0.00012517282,0.000053543736,0.00006359198,0.00010967398,0.00016701753],"domain_scores_gemma":[0.996727,0.00036309203,0.0022120154,0.00007723247,0.00026314703,0.00035744844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062498945,0.00014306452,0.00012344753,0.0011655316,0.0002857396,0.00072269794,0.0002405768,0.00026335404,0.0022689041],"category_scores_gemma":[0.0035504068,0.00007723871,0.00017838675,0.001366917,0.00028791992,0.00051943184,0.0008925055,0.00033489196,0.00036325105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113183996,0.000029236757,0.991184,0.000020898833,0.000018708275,0.00013330193,0.0009346956,0.00012579137,0.00034191276,0.00016621951,0.0002346509,0.0066973693],"study_design_scores_gemma":[3.4181846e-7,0.000022462416,0.99867404,0.000003839291,0.0000014992082,0.00006487027,0.0007080459,0.00005597011,0.000032704043,0.000016379061,0.00041861815,0.0000014125646],"about_ca_topic_score_codex":0.0065247924,"about_ca_topic_score_gemma":0.010101814,"teacher_disagreement_score":0.0065247924,"about_ca_system_score_codex":0.0006190646,"about_ca_system_score_gemma":0.0003196729,"threshold_uncertainty_score":0.012973666},"labels":[],"label_agreement":null},{"id":"W3120094447","doi":"10.5430/ijfr.v12n3p78","title":"The Determinants of Islamic and Conventional Banks Profitability in the GCC Region","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Islam; Business; Return on assets; Panel data; Proxy (statistics); Monetary economics; Bivariate analysis; Financial system; Gross domestic product; Economics; Finance; Econometrics; Macroeconomics; Mathematics; Statistics","score_opus":0.0536828932016321,"score_gpt":0.35478822308814023,"score_spread":0.3011053298865081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120094447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897885,0.00013298093,0.00001807798,0.0000768097,0.0000016878249,0.0000012398165,0.000083020364,0.0000010489622,0.0007062827],"genre_scores_gemma":[0.99954766,0.00013957323,0.000020726446,0.0000095244095,0.0000029065209,7.9205427e-7,0.00009181587,5.4166304e-7,0.00018644556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998047,0.000036357098,0.000020232183,0.000027659018,0.00004695312,0.00006406069],"domain_scores_gemma":[0.9982054,0.0002710191,0.0009585279,0.000037212794,0.00033455383,0.00019336084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033339064,0.0001247937,0.000107878455,0.00067489856,0.00025894435,0.00093062327,0.000099333585,0.00020055352,0.000882362],"category_scores_gemma":[0.0013774643,0.000071003145,0.000099275145,0.0011665773,0.00035296485,0.00031102062,0.00028274834,0.0002980059,0.00016716859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033163273,0.000015872218,0.9942046,0.000013334403,0.000017899374,0.00026661277,0.0006315309,0.00036283393,0.0002662144,0.00032004705,0.0002672803,0.0036005878],"study_design_scores_gemma":[7.9789953e-7,0.000012234681,0.99767154,0.000013396224,0.0000074799236,0.000096553034,0.0014632493,0.00022298122,0.00007999178,0.00004780994,0.00038148885,0.0000024502895],"about_ca_topic_score_codex":0.029652497,"about_ca_topic_score_gemma":0.03347897,"teacher_disagreement_score":0.029652497,"about_ca_system_score_codex":0.00060823595,"about_ca_system_score_gemma":0.0005722847,"threshold_uncertainty_score":0.05895984},"labels":[],"label_agreement":null},{"id":"W3120336473","doi":"10.5430/ijfr.v12n2p150","title":"The Impact of Corporate Governance on the Profitability of Insurance Firms in Syria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Return on equity; Solvency; Return on assets; Corporate governance; Commission; Equity (law); Profitability index; Variables; Stock exchange; Panel data; Accounting; Monetary economics; Finance; Economics; Econometrics; Market liquidity","score_opus":0.08355967783523024,"score_gpt":0.35203078464874643,"score_spread":0.26847110681351616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120336473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857795,0.00022796172,0.000029757897,0.00020501878,0.0000027497483,0.0000026523378,0.00005927616,0.0000018008491,0.0008927472],"genre_scores_gemma":[0.99958223,0.00013251886,0.00001198544,0.000009934509,0.0000057493285,6.971455e-7,0.00006156854,3.9261027e-7,0.00019491461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995484,0.00008944064,0.00003579948,0.00005882275,0.00009504994,0.00017246399],"domain_scores_gemma":[0.99702233,0.00033140767,0.0018312555,0.000060522587,0.0003536689,0.00040072273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005275131,0.00015009409,0.00019500159,0.0007964779,0.00033620387,0.0014695423,0.00016569623,0.00028801218,0.0011684847],"category_scores_gemma":[0.0020668928,0.00008571369,0.00018421582,0.00080452196,0.0005786697,0.0005580314,0.0008154841,0.00045184034,0.0001842411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004865548,0.00006584027,0.9879369,0.000020404226,0.000041709736,0.0007246649,0.00047982897,0.0015674422,0.00046530375,0.00067767245,0.0005592565,0.0074123037],"study_design_scores_gemma":[0.0000015753553,0.000041354888,0.9971564,0.000010549293,0.000009009771,0.00008494816,0.0008136347,0.0011097903,0.00011966547,0.000090032816,0.0005596914,0.000003367094],"about_ca_topic_score_codex":0.017339991,"about_ca_topic_score_gemma":0.028687067,"teacher_disagreement_score":0.017339991,"about_ca_system_score_codex":0.0017630064,"about_ca_system_score_gemma":0.0010330239,"threshold_uncertainty_score":0.034478128},"labels":[],"label_agreement":null},{"id":"W3120340668","doi":"10.5430/ijfr.v12n2p93","title":"Nexus Between Corporate Social Responsibility, Environmental Disclosure and Financial Reporting Quality Among Listed Firms in Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Corporate social responsibility; Accounting; Business; Leverage (statistics); Stock exchange; Panel data; Finance; Quality (philosophy); Public relations; Economics; Political science","score_opus":0.13592591326055453,"score_gpt":0.39159474877207534,"score_spread":0.2556688355115208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120340668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865925,0.0001870369,0.000041676023,0.00030190588,0.00000193398,0.0000034244986,0.000044007447,4.968094e-7,0.00076020067],"genre_scores_gemma":[0.9997782,0.000100057056,0.000025564077,0.00001477326,0.0000023478601,8.431163e-7,0.000021179909,1.3638191e-7,0.00005680104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897385,0.0002896631,0.00018853087,0.000110029505,0.00026685293,0.00017107539],"domain_scores_gemma":[0.981185,0.004428561,0.012472588,0.00025694407,0.0010480124,0.0006088058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020241318,0.000088716406,0.00014139545,0.0010923928,0.00054335623,0.0014868157,0.00018642386,0.0002758274,0.00095563394],"category_scores_gemma":[0.007475368,0.000099289355,0.000114478564,0.001543384,0.0006434375,0.0011084181,0.0007719789,0.00053426647,0.000054089687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010546186,0.000027320779,0.9956713,0.00001455189,0.000009430686,0.000092661176,0.0009825154,0.000077797224,0.000060380997,0.00038114667,0.000066682434,0.0026056287],"study_design_scores_gemma":[0.0000014693102,0.000021911092,0.9926893,0.00004509833,0.000010642816,0.00009304859,0.005960675,0.0003696217,0.00011358596,0.00020720754,0.00048197372,0.000005391264],"about_ca_topic_score_codex":0.01656574,"about_ca_topic_score_gemma":0.026431415,"teacher_disagreement_score":0.01656574,"about_ca_system_score_codex":0.00097543315,"about_ca_system_score_gemma":0.001156387,"threshold_uncertainty_score":0.03293866},"labels":[],"label_agreement":null},{"id":"W3120440404","doi":"10.5430/ijfr.v12n2p43","title":"Analysis of Macroeconomic Determinants of Peruvian Gold Export Value in the Period 2003-2019","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Exchange rate; Gross domestic product; Inflation rate; Econometrics; Gold standard (test); Value (mathematics); Ordinary least squares; Monetary economics; International economics; Macroeconomics; Interest rate; Statistics; Mathematics","score_opus":0.05679654648672246,"score_gpt":0.3489858839216716,"score_spread":0.2921893374349492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120440404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99599165,0.0006778166,0.00010936281,0.0003525371,0.0000052328796,0.0000043677587,0.0012198751,0.000009338996,0.0016299923],"genre_scores_gemma":[0.99617505,0.00057728565,0.0000708686,0.000023264376,0.000015797892,0.0000064936025,0.0022913944,0.0000036554218,0.0008361306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999013,0.000020931899,0.000011187233,0.000020584792,0.000019605297,0.000026452248],"domain_scores_gemma":[0.9991868,0.00014518405,0.000385892,0.000029337843,0.00020029857,0.00005233414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039339534,0.00014056829,0.0002016657,0.00071873015,0.00018179265,0.0007326252,0.0001410764,0.00022656612,0.0014130663],"category_scores_gemma":[0.0015948275,0.00008144955,0.0002787569,0.0015030232,0.00012116615,0.0003807892,0.00048158428,0.00035316276,0.00026723047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012629428,0.000029055996,0.9888537,0.00009035887,0.00011022414,0.00085045607,0.00055265735,0.0005495892,0.00054566056,0.0003978207,0.0009197652,0.006974434],"study_design_scores_gemma":[0.0000017115808,0.00002558998,0.9969817,0.00001576968,0.00002485994,0.000113510396,0.00054963725,0.0005979662,0.00010479791,0.000048810904,0.0015330754,0.0000025633274],"about_ca_topic_score_codex":0.016413545,"about_ca_topic_score_gemma":0.016292395,"teacher_disagreement_score":0.016413545,"about_ca_system_score_codex":0.00034035795,"about_ca_system_score_gemma":0.00032916808,"threshold_uncertainty_score":0.032635987},"labels":[],"label_agreement":null},{"id":"W3120665010","doi":"10.5430/ijfr.v12n1p297","title":"The Moderating Effect of Leaders’ Experience on Leadership Styles and Crisis Management in the Jordanian Hotel Sector","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformational leadership; Transactional leadership; Leadership style; Situational leadership theory; Psychology; Public relations; Value (mathematics); Business; Shared leadership; Cost leadership; Crisis management; Contingency; Contingency theory; Marketing; Management; Political science; Economics; Computer science","score_opus":0.10671953667630982,"score_gpt":0.3759517426153498,"score_spread":0.26923220593903996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120665010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891174,0.0000662921,0.000055485878,0.00010344065,0.0000088366205,0.000006429195,0.000014725573,0.000001075272,0.0008320164],"genre_scores_gemma":[0.9994261,0.00006471168,0.000056850342,0.000034294902,0.0000092169685,0.000008690631,0.000021903654,9.958893e-7,0.00037736614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986413,0.0006916907,0.0000811148,0.00009550826,0.00016034729,0.00033005467],"domain_scores_gemma":[0.99148786,0.0041426145,0.0015008214,0.00020841173,0.0009014843,0.0017588004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017546254,0.00019619237,0.00022984704,0.0003868885,0.0006192854,0.0011955258,0.00026573197,0.00027896426,0.0051757777],"category_scores_gemma":[0.005222969,0.00014262648,0.00026402957,0.00025721997,0.000520121,0.00062006497,0.0009957867,0.0006965907,0.00027416047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032818466,0.0005612369,0.9713249,0.000096484175,0.00005691058,0.00033661292,0.010462702,0.00010882108,0.0007491913,0.0002360613,0.00038474088,0.015354065],"study_design_scores_gemma":[0.000014659031,0.00040762484,0.9770383,0.000055148033,0.000024261723,0.000108699176,0.02096137,0.0002528409,0.00023558557,0.0001102386,0.000782007,0.000009267122],"about_ca_topic_score_codex":0.0022121663,"about_ca_topic_score_gemma":0.005114792,"teacher_disagreement_score":0.0051757777,"about_ca_system_score_codex":0.00043400886,"about_ca_system_score_gemma":0.0012806553,"threshold_uncertainty_score":0.017314672},"labels":[],"label_agreement":null},{"id":"W3120927627","doi":"10.5430/ijfr.v12n2p125","title":"Carbon Credit Risk Mitigation of Deforestation: A Study on the Performance of P2H Products and Services in Indonesia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Deforestation (computer science); Loan; Government (linguistics); Livelihood; Sustainability; Indonesian; Illegal logging; Investment (military); Finance; Debt; Natural resource economics; Logging; Economics; Forestry; Agriculture","score_opus":0.025058046256136,"score_gpt":0.28246549115137054,"score_spread":0.25740744489523454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120927627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98651,0.0063938885,0.00014166467,0.0005281058,0.000008349551,0.00008488769,0.00028257738,0.0000020001632,0.006048539],"genre_scores_gemma":[0.9914296,0.0070555597,0.0004362903,0.00015794826,0.0000074298937,0.000037086425,0.000112081696,0.0000017933198,0.0007622398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991721,0.00024390916,0.00014484032,0.000075986754,0.00025031558,0.000112788846],"domain_scores_gemma":[0.9976063,0.0007152107,0.0010721859,0.000036049394,0.0003730056,0.00019720942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016094582,0.00019465068,0.00035717402,0.0015169588,0.0006861659,0.0015229406,0.00028922153,0.00036730125,0.0010232818],"category_scores_gemma":[0.002651329,0.00019382061,0.0004494602,0.003085161,0.00044137536,0.0013386403,0.0006277108,0.00056797144,0.00010820804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023908207,0.0009399623,0.7760794,0.007232892,0.0002859689,0.003161747,0.03971126,0.0005699012,0.0021772885,0.0022827059,0.0015886169,0.16573127],"study_design_scores_gemma":[0.000012192265,0.00039290977,0.93127346,0.0017297614,0.00024356664,0.00072548876,0.054773107,0.00045352388,0.0007193931,0.00028651333,0.009367326,0.000022747257],"about_ca_topic_score_codex":0.01589511,"about_ca_topic_score_gemma":0.040157683,"teacher_disagreement_score":0.01589511,"about_ca_system_score_codex":0.0014981277,"about_ca_system_score_gemma":0.0042582653,"threshold_uncertainty_score":0.031605184},"labels":[],"label_agreement":null},{"id":"W3120973245","doi":"10.5430/ijfr.v12n2p115","title":"Social Capital of Bank Leaders and Activities of Commercial Banks","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social capital; Business; Capital (architecture); Exploit; Resource (disambiguation); Financial capital; Finance; Marketing; Economics; Economic growth; Human capital; Sociology; Social science","score_opus":0.13316142990144383,"score_gpt":0.461962536361764,"score_spread":0.3288011064603201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120973245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953147,0.00005735639,0.00006785928,0.00018078627,0.0000052781133,0.000008296396,0.000041420826,0.0000011849141,0.004323171],"genre_scores_gemma":[0.9995838,0.00003282527,0.000025133255,0.000009779169,0.0000035173027,0.000002163957,0.000014414464,2.2957862e-7,0.00032799348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994572,0.00021779117,0.0000201556,0.00004108771,0.00010872639,0.00015497293],"domain_scores_gemma":[0.9964169,0.00075285067,0.0013486128,0.00008244498,0.0004256114,0.0009735617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055573834,0.00009980338,0.00009948184,0.0007702168,0.0007219435,0.00076829805,0.00012228206,0.0001418803,0.0026248193],"category_scores_gemma":[0.0030507906,0.00005728458,0.00005379017,0.00044204778,0.00041327672,0.00049312296,0.0007125112,0.0002175353,0.00013733316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009077676,0.00019090669,0.9468142,0.000046947636,0.000021177491,0.00026524748,0.019598387,0.0001478012,0.0007256011,0.001274154,0.00082361454,0.03000122],"study_design_scores_gemma":[0.000005085233,0.000105586914,0.9721801,0.000037492744,0.000010723223,0.00009989344,0.02317247,0.0003578052,0.00015040553,0.00040618365,0.003465489,0.000008742445],"about_ca_topic_score_codex":0.007326477,"about_ca_topic_score_gemma":0.015392858,"teacher_disagreement_score":0.007326477,"about_ca_system_score_codex":0.0007833003,"about_ca_system_score_gemma":0.0008209152,"threshold_uncertainty_score":0.014567673},"labels":[],"label_agreement":null},{"id":"W3121015968","doi":"10.5430/ijfr.v12n1p319","title":"Determinants of Equity Share Price Movement: Evidence From the Nigerian Banking Industry (2000 – 2014)","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Share price; Earnings per share; Exchange rate; Economics; Interest rate; Monetary economics; Unit root test; Profitability index; Equity (law); Inflation (cosmology); Financial economics; Econometrics; Stock exchange; Business; Cointegration; Finance","score_opus":0.09060066621532836,"score_gpt":0.383593572481742,"score_spread":0.2929929062664136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121015968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971667,0.0010217739,0.00003522633,0.0001703924,0.000006601118,0.0000045401453,0.00017023207,7.043502e-7,0.0014238373],"genre_scores_gemma":[0.997943,0.0012709623,0.000048083984,0.00003286588,0.0000133649255,0.0000030211284,0.00021852563,7.273792e-7,0.00046953952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979097,0.000040440143,0.000032160187,0.000031870015,0.00005828842,0.000046265162],"domain_scores_gemma":[0.997619,0.0006379036,0.001268255,0.000047995356,0.00026248032,0.00016443059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005831526,0.00016297089,0.00015218504,0.000976985,0.0003367585,0.0007315898,0.00020874671,0.00029480585,0.0016816381],"category_scores_gemma":[0.0022732117,0.00016008738,0.0001805332,0.0014068325,0.0003218364,0.00065022754,0.00039811936,0.00045354397,0.0002934341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004806365,0.00005952221,0.9892062,0.00007611569,0.00001941775,0.000265624,0.001258044,0.000034346624,0.00015692292,0.0002017753,0.00030761602,0.008366406],"study_design_scores_gemma":[0.000001338497,0.000025995507,0.9969984,0.000057478625,0.000015998316,0.000099091645,0.0018877429,0.00008879282,0.000081253274,0.000036827776,0.00070511113,0.000001863663],"about_ca_topic_score_codex":0.01037194,"about_ca_topic_score_gemma":0.023363454,"teacher_disagreement_score":0.01037194,"about_ca_system_score_codex":0.0002944817,"about_ca_system_score_gemma":0.0004580216,"threshold_uncertainty_score":0.020623147},"labels":[],"label_agreement":null},{"id":"W3121018361","doi":"10.5430/ijfr.v12n1p270","title":"Corporate Social Responsibility Management","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Human Resources and Workforce","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Corporate social responsibility; Social responsibility; Reputation; Business; Public relations; Loyalty; Marketing; Sociology","score_opus":0.2625535761958753,"score_gpt":0.4701555381528058,"score_spread":0.20760196195693048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121018361","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030281343,0.0076931594,0.022296663,0.059251785,0.0014756223,0.0003610661,0.00006309719,0.00022030166,0.878357],"genre_scores_gemma":[0.8869375,0.0044256477,0.007542814,0.004539292,0.00091618195,0.00020156156,0.00008612049,0.00006958544,0.09528135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9882509,0.0043821842,0.00049495115,0.0009600444,0.004504676,0.0014072752],"domain_scores_gemma":[0.9876774,0.0020271658,0.0015827767,0.0011726485,0.0036938703,0.0038461199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009444455,0.0005226929,0.00029217565,0.0020032686,0.0066236304,0.0095157465,0.001231037,0.0019278519,0.007800628],"category_scores_gemma":[0.013173724,0.00014377647,0.0003962119,0.0013131234,0.006746792,0.0040797438,0.007954214,0.0025155784,0.001440864],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011610163,0.00013783801,0.007627362,0.00019254991,0.00004124687,0.00024287442,0.012638906,0.0007545794,0.00047770908,0.6986238,0.051953733,0.22729792],"study_design_scores_gemma":[0.000008898534,0.00009036585,0.005344338,0.0004547342,0.000013980241,0.00026767468,0.009377324,0.00080888596,0.00043899086,0.15504798,0.82810897,0.000037832386],"about_ca_topic_score_codex":0.0032821624,"about_ca_topic_score_gemma":0.0034906568,"teacher_disagreement_score":0.0095157465,"about_ca_system_score_codex":0.0060951756,"about_ca_system_score_gemma":0.016093887,"threshold_uncertainty_score":0.04994768},"labels":[],"label_agreement":null},{"id":"W3121079231","doi":"10.5430/ijfr.v12n3p55","title":"The Impact of Audit Committee Performance and Composition on Financial Reporting Quality in Jordan","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit committee; Accounting; Chief audit executive; Business; Audit; Internal audit; Joint audit; Stock exchange; Corporate governance; Audit evidence; Finance","score_opus":0.050112838014113564,"score_gpt":0.3791895022892126,"score_spread":0.3290766642750991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121079231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709165,0.00016984988,0.00012387295,0.00038023858,0.0000062091717,0.000013455793,0.00003792459,0.00000676681,0.0021701332],"genre_scores_gemma":[0.99931836,0.00007870526,0.00009882542,0.000047888676,0.000011485151,0.0000044621297,0.000041316016,0.000002806966,0.00039616728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9896327,0.005165844,0.0011991233,0.0005502383,0.002566777,0.00088530034],"domain_scores_gemma":[0.919728,0.016172422,0.034417916,0.0025449523,0.021119481,0.00601729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011399118,0.00014515317,0.00021651598,0.00149345,0.0006615351,0.0026588042,0.00043023707,0.00036812364,0.0018763383],"category_scores_gemma":[0.03815943,0.00017287888,0.00020615537,0.0018209049,0.0009623226,0.0010699915,0.0013999689,0.00049833633,0.00038207404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012327467,0.00014208611,0.97922486,0.000032242107,0.00003901905,0.00007086059,0.0013687633,0.0004109559,0.00025097595,0.00028161367,0.00050958357,0.017545803],"study_design_scores_gemma":[0.000007794559,0.0001270013,0.9937562,0.000034579913,0.00001619529,0.00007187552,0.0037696967,0.00069237174,0.00029861438,0.00015714292,0.0010566892,0.000011922427],"about_ca_topic_score_codex":0.009201272,"about_ca_topic_score_gemma":0.0088487975,"teacher_disagreement_score":0.011399118,"about_ca_system_score_codex":0.0019770006,"about_ca_system_score_gemma":0.003445025,"threshold_uncertainty_score":0.06028503},"labels":[],"label_agreement":null},{"id":"W3121297459","doi":"10.5430/ijfr.v12n2p195","title":"An Examination Into the Causal Links Among Inward FDI Determinants: Empirical Evidence From Jordan","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Openness to experience; Gross domestic product; Economics; Error correction model; International economics; Gross fixed capital formation; Product (mathematics); Econometrics; Human capital; Macroeconomics; International trade; Cointegration; Economic growth; Psychology","score_opus":0.11147916731167623,"score_gpt":0.4087937889704294,"score_spread":0.29731462165875316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121297459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99143785,0.0022304999,0.00035720068,0.0011339544,0.000014979266,0.0000129632635,0.00042505655,0.000006092656,0.004381342],"genre_scores_gemma":[0.99417204,0.003006752,0.00027121184,0.00018385657,0.000027811053,0.0000073603314,0.00073731743,0.0000035197372,0.001590141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963963,0.000109650166,0.000035162062,0.00006203789,0.000067543064,0.00008589337],"domain_scores_gemma":[0.99547714,0.0019507547,0.0013518218,0.00012734164,0.0008591173,0.0002338132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013484752,0.00025718735,0.00030654395,0.0015965983,0.0004005798,0.0011519459,0.00029249868,0.00035377772,0.003090435],"category_scores_gemma":[0.002747204,0.00016071292,0.00043716002,0.0023473597,0.00046846806,0.00089406647,0.00068033906,0.0006087413,0.00038227296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055145618,0.00014163641,0.97608,0.00022292926,0.000117715914,0.00065832626,0.0013275266,0.0010222388,0.00015851318,0.0028184813,0.0012318447,0.01616557],"study_design_scores_gemma":[0.000023745257,0.00009952142,0.96501446,0.00047392878,0.00033352274,0.0003672405,0.014451622,0.004510465,0.0007800348,0.0021080906,0.011812405,0.000025032941],"about_ca_topic_score_codex":0.024913104,"about_ca_topic_score_gemma":0.03684816,"teacher_disagreement_score":0.024913104,"about_ca_system_score_codex":0.000826638,"about_ca_system_score_gemma":0.0024777858,"threshold_uncertainty_score":0.04953617},"labels":[],"label_agreement":null},{"id":"W3121325990","doi":"10.5430/ijfr.v12n2p274","title":"Restructuring Outsourcing: Classification and Methodical Approach to Evaluating Expediency and Economic Effect","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Restructuring; Outsourcing; Business; Industrial organization; Production (economics); Government (linguistics); Economic restructuring; Goods and services; Economic system; Commerce; Economics; Economic growth; Market economy; Marketing; Finance","score_opus":0.08310170296823619,"score_gpt":0.39292626087987303,"score_spread":0.3098245579116369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121325990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20016728,0.0017604711,0.7422893,0.001877715,0.00027497922,0.0074185147,0.0018211755,0.0003013134,0.044089206],"genre_scores_gemma":[0.40405682,0.0005847891,0.58785146,0.00014412547,0.0000762776,0.0051113903,0.0004918598,0.000039254315,0.0016440123],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97221696,0.017513359,0.002098806,0.001122974,0.0065369788,0.0005108944],"domain_scores_gemma":[0.9576053,0.03079369,0.0039070738,0.001603221,0.00563034,0.00046031832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020895988,0.0010746671,0.001106634,0.013647833,0.0012276787,0.004158625,0.0012908691,0.0008835647,0.0022347567],"category_scores_gemma":[0.033707507,0.00023219704,0.00124834,0.010969288,0.0037628193,0.0025726783,0.0017301011,0.0013156855,0.00019824354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069565803,0.001102042,0.21532612,0.0020800356,0.0007437246,0.00048979133,0.010039746,0.020856148,0.0042267474,0.25299743,0.005709884,0.48573267],"study_design_scores_gemma":[0.00040810532,0.0021618316,0.28638947,0.0012933261,0.0006487567,0.000970577,0.022874732,0.32940024,0.0070803366,0.2941378,0.05421126,0.000423555],"about_ca_topic_score_codex":0.006227855,"about_ca_topic_score_gemma":0.0053851246,"teacher_disagreement_score":0.020895988,"about_ca_system_score_codex":0.0054149474,"about_ca_system_score_gemma":0.0049857623,"threshold_uncertainty_score":0.11050987},"labels":[],"label_agreement":null},{"id":"W3121449592","doi":"10.5430/ijfr.v12n3p193","title":"Analyzing the Dynamics Between Macroeconomic Variables and the Stock Indexes of Emerging Markets, Using Non-linear Methods","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emerging markets; Economics; Stock (firearms); Volatility (finance); Market liquidity; Financial market; Interest rate; Monetary economics; Financial economics; Exchange rate; Stock market; Macroeconomics; Finance","score_opus":0.08082834848267267,"score_gpt":0.40302146902580627,"score_spread":0.3221931205431336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121449592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95524573,0.0005406887,0.041450392,0.0002476504,0.0000155749,0.00004041082,0.0005446784,0.000059358154,0.0018555193],"genre_scores_gemma":[0.98911756,0.00020730446,0.008991641,0.00001935716,0.000015638681,0.000037949714,0.0006636391,0.000007481906,0.000939398],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993364,0.00034170502,0.000044687706,0.00011736043,0.00010889401,0.00005097966],"domain_scores_gemma":[0.995609,0.003232623,0.0005915318,0.00020431331,0.00028223539,0.00008036692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017714916,0.00038387868,0.0002948115,0.0016154343,0.00030135526,0.0008948671,0.0003305253,0.00027768605,0.0013787774],"category_scores_gemma":[0.008446945,0.000171309,0.00060032145,0.001232459,0.00026811322,0.000990916,0.00057843735,0.0005595618,0.00027971345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018715778,0.00020200756,0.84190667,0.00008891499,0.0006533638,0.00024747252,0.00040070247,0.04068132,0.0017768065,0.006467757,0.000760317,0.10662742],"study_design_scores_gemma":[0.000016239008,0.00021279664,0.4552821,0.000030172034,0.00010888956,0.000098141405,0.00079918583,0.53359944,0.0014740698,0.0066036265,0.0017396811,0.000035657824],"about_ca_topic_score_codex":0.010607753,"about_ca_topic_score_gemma":0.013129215,"teacher_disagreement_score":0.010607753,"about_ca_system_score_codex":0.00038383223,"about_ca_system_score_gemma":0.00068265834,"threshold_uncertainty_score":0.021091998},"labels":[],"label_agreement":null},{"id":"W3121528938","doi":"10.5430/ijfr.v12n2p294","title":"Is Islamic Bank More Stable Than Conventional Bank? Evidence From Islamic Rural Banks in Indonesia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Islam; Distributed lag; Return on assets; Return on equity; Rural area; Equity (law); Financial system; Business; Profit (economics); Economics; Finance; Econometrics; Geography","score_opus":0.049643897294817406,"score_gpt":0.3447253329915496,"score_spread":0.29508143569673223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121528938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966844,0.00032949305,0.000039548457,0.00061944907,0.000010916696,0.0000038254457,0.00009886535,0.0000017455255,0.0022116858],"genre_scores_gemma":[0.99930644,0.00022462358,0.000018413097,0.000094032934,0.000016428101,0.0000011927223,0.000072203795,9.625395e-7,0.00026562432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992083,0.00021906308,0.00010122579,0.00014047886,0.00019338001,0.0001376953],"domain_scores_gemma":[0.98683274,0.0027828177,0.0075831106,0.00035490637,0.001165009,0.0012814145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015430187,0.0001437126,0.00024727106,0.0007860156,0.00060151704,0.0015598878,0.00029444828,0.00040968013,0.0040756813],"category_scores_gemma":[0.0052531376,0.00013215447,0.00016646791,0.0013435947,0.0011070421,0.0008726091,0.00056410907,0.0006699711,0.0007138385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015570872,0.00009002642,0.99090296,0.00004219988,0.00004691656,0.000260359,0.0011008381,0.00005921783,0.00013727375,0.000399223,0.0008032737,0.006002087],"study_design_scores_gemma":[0.00001104335,0.00009018346,0.99429613,0.00004423832,0.000034879078,0.0002040657,0.0037895238,0.00018909745,0.00009243037,0.00016445124,0.001078242,0.0000057967263],"about_ca_topic_score_codex":0.0051835645,"about_ca_topic_score_gemma":0.007761532,"teacher_disagreement_score":0.0051835645,"about_ca_system_score_codex":0.00035644387,"about_ca_system_score_gemma":0.0006140694,"threshold_uncertainty_score":0.013634503},"labels":[],"label_agreement":null},{"id":"W3121828433","doi":"10.5430/ijfr.v12n2p308","title":"Impact of the Application of IFRS 15 on the Profitability of Jordanian Telecom Companies (Case Study: Jordan Orange Telecom)","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Revenue; Profitability index; Business; Orange (colour); Return on assets; Order (exchange); Telecommunications; Finance; Computer science","score_opus":0.043723041885891566,"score_gpt":0.3543390831786849,"score_spread":0.31061604129279335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121828433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97117907,0.00042271183,0.00044425513,0.0012669086,0.000031314168,0.00007459193,0.00012805217,0.00006169233,0.026391525],"genre_scores_gemma":[0.9936098,0.0002968889,0.0006558614,0.00020421053,0.00002429274,0.000016745222,0.00016496015,0.000009272626,0.005018085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99228305,0.0014234735,0.00047353568,0.0003764394,0.0043682754,0.0010752142],"domain_scores_gemma":[0.9816108,0.0034478875,0.0047028037,0.00074139645,0.008204915,0.0012922959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004275784,0.0002655934,0.00019653239,0.0014338988,0.0008933967,0.0031072118,0.0006333339,0.00080981496,0.0037509599],"category_scores_gemma":[0.013312177,0.00009204145,0.00033930584,0.0013822833,0.0009289551,0.0010065526,0.0012450205,0.0007586411,0.0006655799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031136087,0.0009792336,0.68744814,0.00035030989,0.00012057714,0.004122594,0.0039217896,0.007380511,0.011450705,0.0068212957,0.008309135,0.26878434],"study_design_scores_gemma":[0.000020182857,0.0014982715,0.9202699,0.00024443126,0.00007756576,0.0011038904,0.015022334,0.0048229243,0.009262832,0.0011753666,0.04640673,0.000095628406],"about_ca_topic_score_codex":0.015150138,"about_ca_topic_score_gemma":0.016202278,"teacher_disagreement_score":0.015150138,"about_ca_system_score_codex":0.0035706195,"about_ca_system_score_gemma":0.0042062444,"threshold_uncertainty_score":0.03012389},"labels":[],"label_agreement":null},{"id":"W3121896445","doi":"10.5430/ijfr.v12n2p327","title":"Ideal Investment Protection in Optimistic Perceptions: Evidence From the Indian Equity Options Market","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity (law); Hedge; Market neutral; Portfolio; Financial economics; Economics; Business; Stock market; Monetary economics","score_opus":0.17208791767013812,"score_gpt":0.39091257666713397,"score_spread":0.21882465899699585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121896445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869262,0.00012152161,0.00037323678,0.00029053105,0.0000056672634,0.000007883411,0.000022998103,0.0000036507088,0.012248418],"genre_scores_gemma":[0.9996183,0.000045545836,0.000046179724,0.000021949316,0.0000034136158,8.75805e-7,0.000009265252,5.674415e-7,0.0002538178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999587,0.0001409634,0.000020598585,0.000032727385,0.00013373756,0.00008495187],"domain_scores_gemma":[0.9953053,0.0026530675,0.0010398196,0.00038515692,0.00030626287,0.00031043706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012649917,0.00017106856,0.0001866978,0.00037601206,0.000440377,0.0014222893,0.00036239947,0.00047968735,0.0033228225],"category_scores_gemma":[0.0060765427,0.00008581322,0.00025242826,0.00028616464,0.0014444147,0.0013056329,0.00083904766,0.0010738954,0.00021220803],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006546263,0.002466559,0.54706335,0.0008221902,0.00039656804,0.0055270167,0.032250073,0.015331437,0.024468832,0.2377723,0.0038188112,0.12353663],"study_design_scores_gemma":[0.00016036889,0.0020931212,0.8019903,0.00016023802,0.0002803134,0.0020218175,0.03751949,0.040248692,0.010623802,0.09015277,0.014577398,0.00017173872],"about_ca_topic_score_codex":0.0016246337,"about_ca_topic_score_gemma":0.00085492944,"teacher_disagreement_score":0.0033228225,"about_ca_system_score_codex":0.00029353707,"about_ca_system_score_gemma":0.0002676096,"threshold_uncertainty_score":0.011115909},"labels":[],"label_agreement":null},{"id":"W3122007006","doi":"10.5430/ijfr.v8n2p7","title":"The Interplay between Dividends and Leverage inside Commercial Banks","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Austrian Science Fund","keywords":"Dividend; Leverage (statistics); Dividend payout ratio; Market liquidity; Business; Monetary economics; Debt; Dividend policy; Financial crisis; Financial system; Economics; Finance; Macroeconomics","score_opus":0.10035833866481629,"score_gpt":0.3957618181986483,"score_spread":0.295403479533832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122007006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988796,0.00020259655,0.00008523856,0.0000738816,0.000001189317,0.0000017545613,0.00009614029,0.0000022342779,0.0006574525],"genre_scores_gemma":[0.9997042,0.0000611666,0.000023492887,0.000006854937,0.000005938301,7.84049e-7,0.00008882542,6.148926e-7,0.00010807316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951756,0.0001139854,0.000050666215,0.00009220639,0.00010980776,0.00011569686],"domain_scores_gemma":[0.988761,0.003163941,0.0063716425,0.00031729604,0.00068243884,0.0007035548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068955636,0.00014447943,0.00030187544,0.0010545267,0.00033993865,0.0016283675,0.00026193273,0.0005004594,0.0012127819],"category_scores_gemma":[0.0054688156,0.00020204735,0.00016690309,0.0014598276,0.00057383836,0.00089325156,0.000647385,0.00051853375,0.00027766326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045207486,0.00003100278,0.9959227,0.000006080823,0.000044506607,0.00007104131,0.00022663966,0.00034789083,0.00027814033,0.00017211886,0.00011472993,0.0027400071],"study_design_scores_gemma":[0.0000017741131,0.000016884842,0.99834156,0.00000463768,0.000012029067,0.000085088956,0.0002718775,0.0008072045,0.00012383144,0.00015971322,0.00017126705,0.0000042319602],"about_ca_topic_score_codex":0.00931997,"about_ca_topic_score_gemma":0.016655048,"teacher_disagreement_score":0.00931997,"about_ca_system_score_codex":0.0006068228,"about_ca_system_score_gemma":0.00024738166,"threshold_uncertainty_score":0.018531442},"labels":[],"label_agreement":null},{"id":"W3122014492","doi":"10.5430/ijfr.v12n2p202","title":"Stock Market Reforms and Stock Market Performance","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Equity (law); Business; Abnormal return; Stock (firearms); Volatility (finance); Economics; Monetary economics; Financial system; Stock exchange; Finance","score_opus":0.07347173192622046,"score_gpt":0.31941780561736977,"score_spread":0.2459460736911493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122014492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548584,0.0003980276,0.0001870884,0.00024399301,0.000013416607,0.000014492085,0.00067413127,0.000018119876,0.0029648473],"genre_scores_gemma":[0.99890053,0.00011874221,0.000044165925,0.000017801167,0.00002078696,0.0000032931175,0.0005110752,0.0000014696303,0.0003820025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993537,0.0001235761,0.00007106361,0.00007064669,0.00021944981,0.00016149905],"domain_scores_gemma":[0.9934854,0.0013062778,0.004149049,0.00020260719,0.00050354074,0.00035314637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007464834,0.00017754931,0.0002335078,0.0010443323,0.00018436325,0.0012025296,0.00022638279,0.00036485243,0.0021377432],"category_scores_gemma":[0.004781862,0.000070787755,0.00039398344,0.0015989847,0.0003503235,0.00059562444,0.0004328082,0.0007831006,0.0003719426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016686083,0.00015539232,0.9831215,0.000045075525,0.00014875413,0.00024696044,0.00013300564,0.0035120542,0.0006057539,0.0009948805,0.0005909902,0.010278738],"study_design_scores_gemma":[0.0000035690257,0.00013766016,0.99589795,0.0000062875297,0.00003718659,0.000048250226,0.00015457369,0.0021639506,0.00043499356,0.00012435183,0.0009827658,0.000008460715],"about_ca_topic_score_codex":0.010110525,"about_ca_topic_score_gemma":0.009022363,"teacher_disagreement_score":0.010110525,"about_ca_system_score_codex":0.000734435,"about_ca_system_score_gemma":0.00047646978,"threshold_uncertainty_score":0.020103335},"labels":[],"label_agreement":null},{"id":"W3122021492","doi":"10.5430/ijfr.v12n3p230","title":"The Effect of Number of Visitors, Tourist Destinations, Hotel Room Tax and Accommodations on Original Local Government Revenue: Case Study West Sumatra Province, Indonesia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Indonesia","keywords":"Tourism; Nonprobability sampling; Sample (material); Revenue; Test (biology); Descriptive statistics; Government (linguistics); Destinations; Tax revenue; Business; Population; Variables; Local government; Geography; Advertising; Statistics; Economics; Mathematics; Demography; Public economics; Finance","score_opus":0.02774530959159621,"score_gpt":0.33509255506490615,"score_spread":0.30734724547330994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122021492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814093,0.000108523054,0.00004504902,0.00006721502,0.0000023100527,0.000012704527,0.00010738061,0.0000020831924,0.0015138395],"genre_scores_gemma":[0.9985222,0.000258751,0.00013698917,0.000018548912,0.0000033902038,0.000013741042,0.00009417696,0.0000022881063,0.0009500557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994306,0.00019778911,0.00003730327,0.000073861105,0.000105208324,0.00015528405],"domain_scores_gemma":[0.9988896,0.00041947584,0.00027876228,0.000048681984,0.00013819436,0.00022524214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005116077,0.00030508035,0.00031839786,0.00090972317,0.00075549236,0.001123116,0.0005535595,0.0002552677,0.0023961382],"category_scores_gemma":[0.0011515641,0.00018674195,0.00057058374,0.0016203168,0.000625198,0.0004907923,0.0007823823,0.0006099278,0.0002857535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000250582,0.00085703377,0.96278906,0.00023745092,0.00014213797,0.01287342,0.004774704,0.002009815,0.0011770732,0.00071101467,0.0009036124,0.013274164],"study_design_scores_gemma":[0.000016289605,0.0002628904,0.963039,0.00006948095,0.0001481018,0.002067706,0.028668959,0.0025388873,0.0006693904,0.00016664734,0.0023254065,0.000027172695],"about_ca_topic_score_codex":0.07336774,"about_ca_topic_score_gemma":0.10339399,"teacher_disagreement_score":0.07336774,"about_ca_system_score_codex":0.0019008865,"about_ca_system_score_gemma":0.0015038077,"threshold_uncertainty_score":0.14588141},"labels":[],"label_agreement":null},{"id":"W3122428556","doi":"10.5430/ijfr.v12n2p263","title":"Financial Deepening and Economic Growth in Nigeria: A Johannsen and Error Correction Model Techniques","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Cointegration; Nexus (standard); Error correction model; Granger causality; Economics; Proxy (statistics); Stock market; Financial deepening; Gross domestic product; Financial system; Stock exchange; Finance; Financial market; Macroeconomics; Econometrics; Financial intermediary; Statistics; Mathematics","score_opus":0.10826808446009317,"score_gpt":0.3425727762323212,"score_spread":0.234304691772228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122428556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7903368,0.0033981877,0.19310848,0.0027614809,0.00045076627,0.00020319497,0.000675225,0.0003797438,0.008686092],"genre_scores_gemma":[0.9772205,0.0014544684,0.013616878,0.00008659203,0.00007873128,0.00013100293,0.0003505757,0.000034291195,0.0070269504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982552,0.0010494203,0.0001007466,0.00021767431,0.00018487453,0.00019195022],"domain_scores_gemma":[0.9929669,0.0057139737,0.00056652614,0.00023435758,0.00040348474,0.00011477276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050297407,0.00087951944,0.0011503038,0.0013941786,0.0008064171,0.002441227,0.0008510627,0.0010890918,0.0022533112],"category_scores_gemma":[0.007747409,0.0004909594,0.0012276991,0.0014817937,0.00088051654,0.0012861027,0.0012294463,0.0022229066,0.00041219435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007133745,0.0008039325,0.2784216,0.0005120214,0.0016773195,0.0031672397,0.0029832565,0.49516127,0.0025469686,0.10730428,0.0045241807,0.10218446],"study_design_scores_gemma":[0.00005295411,0.00034705075,0.023633944,0.0002003868,0.00036569638,0.00018367004,0.00087058626,0.9543657,0.00085933367,0.014239763,0.004823279,0.00005780785],"about_ca_topic_score_codex":0.02669627,"about_ca_topic_score_gemma":0.018460136,"teacher_disagreement_score":0.02669627,"about_ca_system_score_codex":0.00073775434,"about_ca_system_score_gemma":0.0027355016,"threshold_uncertainty_score":0.05308175},"labels":[],"label_agreement":null},{"id":"W3122567946","doi":"10.5430/ijfr.v12n3p172","title":"Environmental Operations Review and Stakeholders’ Wealth of Extracting Firms: Evidence From Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustenance; Business; Value (mathematics); Originality; Domino effect; Environmental economics; Marketing; Economics; Computer science","score_opus":0.11245819954582714,"score_gpt":0.3795483072763716,"score_spread":0.2670901077305445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122567946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97187793,0.00814187,0.00043344998,0.0037229778,0.00003110209,0.00016159982,0.00018893005,0.0000019606425,0.015440279],"genre_scores_gemma":[0.9963569,0.002890785,0.00017082668,0.00019407347,0.000010760324,0.000024658266,0.000033121316,0.000001074549,0.0003176832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98314226,0.008704663,0.002252701,0.0006917041,0.0040210932,0.001187551],"domain_scores_gemma":[0.78647166,0.14379461,0.050930228,0.0029289555,0.013163322,0.0027112574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0177442,0.00020359464,0.00036443022,0.0052142777,0.002081241,0.0047556306,0.00048184142,0.0009914119,0.0032253836],"category_scores_gemma":[0.07659595,0.00032277236,0.00024993022,0.005503673,0.0025381336,0.0047191507,0.0027449634,0.0010100078,0.00016767721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006507358,0.00047872917,0.7099624,0.009706566,0.00035803797,0.005097907,0.08923489,0.00054707064,0.0013077753,0.025710734,0.0033626398,0.15358256],"study_design_scores_gemma":[0.00004954732,0.00055755785,0.6028585,0.014672563,0.00041811736,0.0020462556,0.32534084,0.00057152053,0.0022717693,0.0046716845,0.04645391,0.00008774575],"about_ca_topic_score_codex":0.0050372984,"about_ca_topic_score_gemma":0.012545103,"teacher_disagreement_score":0.0177442,"about_ca_system_score_codex":0.0030241017,"about_ca_system_score_gemma":0.006732549,"threshold_uncertainty_score":0.09384143},"labels":[],"label_agreement":null},{"id":"W3122714014","doi":"10.5430/ijfr.v7n2p30","title":"The Importance of Being Steve: An Econometric Analysis of the Contribution of Steve Jobs’s Patents to Apple’s Market Valuation","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Valuation (finance); Economics; Stock (firearms); Actuarial science; Econometrics; Stock market; Econometric analysis; Financial economics; Finance; Engineering","score_opus":0.16131613576488302,"score_gpt":0.3449405323926466,"score_spread":0.1836243966277636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122714014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99461645,0.00016876482,0.0019660227,0.0004221306,0.000010238831,0.000010035903,0.00008198987,0.000011047382,0.0027134437],"genre_scores_gemma":[0.99923944,0.000051473577,0.00014610832,0.00001759963,0.000017244562,0.0000023210528,0.000051607072,0.000002381558,0.00047180714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995297,0.00018338267,0.00002458378,0.00006564358,0.000100886486,0.00009575591],"domain_scores_gemma":[0.97432375,0.021937778,0.0023348534,0.00052814616,0.00049803243,0.00037749112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002656869,0.00011964683,0.00032164776,0.0010625224,0.00031896814,0.0014988155,0.00049078255,0.0006255103,0.002441809],"category_scores_gemma":[0.018805446,0.000113163136,0.00057053455,0.0011457894,0.0007617485,0.001310091,0.0005122894,0.0009764638,0.00021874621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008006557,0.0006774597,0.84093624,0.0000955672,0.00033135625,0.0012226315,0.0013532588,0.05053252,0.004065807,0.031554516,0.0025225678,0.06590749],"study_design_scores_gemma":[0.000053189506,0.0003403266,0.7509556,0.000024864075,0.00018170774,0.00025164377,0.0012302785,0.23191988,0.001534963,0.011012364,0.0024381024,0.000057113983],"about_ca_topic_score_codex":0.008123003,"about_ca_topic_score_gemma":0.0060267258,"teacher_disagreement_score":0.008123003,"about_ca_system_score_codex":0.00085677375,"about_ca_system_score_gemma":0.00038514697,"threshold_uncertainty_score":0.016151488},"labels":[],"label_agreement":null},{"id":"W3122737734","doi":"10.5430/ijfr.v12n2p318","title":"Ways to Increase the Competitiveness of Agricultural Consumer Cooperatives in Modern Conditions","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Agriculture; Business; Food security; Industrial organization; Russian federation; Task (project management); Key (lock); Population; Marketing; Economics; Economic policy","score_opus":0.0961137421490842,"score_gpt":0.4271506610433989,"score_spread":0.3310369188943147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122737734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7004094,0.0033301895,0.010703643,0.030618504,0.0003471483,0.00027322271,0.00008743177,0.00020297614,0.2540275],"genre_scores_gemma":[0.97794557,0.0010853413,0.0053990153,0.0008937546,0.00006755282,0.00007952057,0.0000522182,0.000015287385,0.014461686],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991891,0.0003103982,0.000019331887,0.00009136767,0.00011879294,0.00027113198],"domain_scores_gemma":[0.99925786,0.000086136795,0.00014615252,0.00004525829,0.00011607111,0.00034851284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012971855,0.00025076707,0.00014172048,0.0008598922,0.0028247987,0.003420197,0.0005003814,0.0009980011,0.008372833],"category_scores_gemma":[0.0011252301,0.00011404373,0.00027025462,0.00061613426,0.0014472228,0.0019649868,0.0033415346,0.0006587762,0.0008244142],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001939483,0.001301365,0.12961929,0.0009592426,0.00009712623,0.0022945541,0.040698506,0.0014416452,0.013211153,0.32766736,0.037486527,0.44502932],"study_design_scores_gemma":[0.00005091652,0.00044598177,0.16324699,0.00043157226,0.00006732374,0.0012193051,0.09520919,0.0013966275,0.0026951656,0.04055982,0.6946097,0.00006743053],"about_ca_topic_score_codex":0.0022815696,"about_ca_topic_score_gemma":0.0039192834,"teacher_disagreement_score":0.008372833,"about_ca_system_score_codex":0.0011932174,"about_ca_system_score_gemma":0.003938455,"threshold_uncertainty_score":0.028009951},"labels":[],"label_agreement":null},{"id":"W3123105489","doi":"10.5430/ijfr.v12n3p116","title":"Mapping Global Research on International Financial Reporting Standards: A Scientometric Review","year":2021,"lang":"en","type":"review","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; China; International Financial Reporting Standards; Political science; Business; Library science; Computer science","score_opus":0.20412155725822267,"score_gpt":0.4988680634155581,"score_spread":0.29474650615733544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123105489","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018653013,0.9309508,0.014570028,0.012499994,0.0016438956,0.0011181848,0.0036844383,0.0002054031,0.016674131],"genre_scores_gemma":[0.119262144,0.84745246,0.02200173,0.0018624085,0.001718655,0.0018853684,0.004629431,0.000107167456,0.001080613],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9636248,0.01432225,0.007285327,0.0022236344,0.011900787,0.00064326765],"domain_scores_gemma":[0.868014,0.08505488,0.013440958,0.0060975943,0.02619101,0.0012015185],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.057356227,0.001259987,0.003149985,0.14461306,0.0015981483,0.007018379,0.0015767736,0.0015937748,0.003514899],"category_scores_gemma":[0.14893275,0.00090378907,0.002583874,0.18511719,0.0022440988,0.008413638,0.0038976246,0.0012615229,0.0010834701],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008969725,0.000099428034,0.017041998,0.1147419,0.002393564,0.0003704144,0.0030721456,0.0016332888,0.0010602581,0.021203581,0.028713455,0.8095802],"study_design_scores_gemma":[0.000065318694,0.00036126032,0.111028954,0.1900516,0.0071214023,0.0009684594,0.012377961,0.0030857236,0.0020624038,0.03105231,0.6415559,0.00026866948],"about_ca_topic_score_codex":0.003507868,"about_ca_topic_score_gemma":0.0054766717,"teacher_disagreement_score":0.855387,"about_ca_system_score_codex":0.004335189,"about_ca_system_score_gemma":0.016364971,"threshold_uncertainty_score":0.30333233},"labels":[],"label_agreement":null},{"id":"W3123371213","doi":"10.5430/ijfr.v8n3p1","title":"Mandelbrot Market-Model and Momentum","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mandelbrot set; Fractal; Economics; Momentum (technical analysis); Scaling; Econometrics; Mathematical economics; Statistical physics; Mathematics; Financial economics; Physics; Mathematical analysis; Geometry","score_opus":0.12677906806321862,"score_gpt":0.36522093466310546,"score_spread":0.23844186659988684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123371213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23223193,0.010730296,0.6064651,0.025565377,0.0011264939,0.00010988692,0.00076065544,0.000564972,0.12244536],"genre_scores_gemma":[0.934057,0.0028921838,0.03147587,0.0009291313,0.000700216,0.000107742475,0.00018368225,0.00010412537,0.029550089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996469,0.00008892475,0.000018826706,0.000082592494,0.00009897083,0.00006371265],"domain_scores_gemma":[0.99888486,0.00044229702,0.0002061603,0.00010700985,0.00019248166,0.00016725299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014747131,0.00058343384,0.00096877076,0.00091602956,0.00085520535,0.0018833731,0.001237193,0.0030255744,0.005248786],"category_scores_gemma":[0.004525389,0.00031011843,0.0008199391,0.00069308677,0.0023633994,0.004802853,0.00090653467,0.001921429,0.0007054671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000148931085,0.000012601296,0.00032283427,0.000026561765,0.000011147713,0.0001172101,0.00006236069,0.015720196,0.0004212999,0.97998023,0.0013987802,0.0019119394],"study_design_scores_gemma":[0.00002051613,0.000018231525,0.00024357572,0.000016270074,0.000008577357,0.00011978377,0.000022169903,0.15027742,0.00015797772,0.84585696,0.0032432505,0.000015231893],"about_ca_topic_score_codex":0.0029432883,"about_ca_topic_score_gemma":0.0017250354,"teacher_disagreement_score":0.005248786,"about_ca_system_score_codex":0.000910993,"about_ca_system_score_gemma":0.00094732834,"threshold_uncertainty_score":0.017558932},"labels":[],"label_agreement":null},{"id":"W3123401886","doi":"10.5430/ijfr.v12n3p181","title":"Personnel Expenses and Productivity Change in Peruvian Stock Mining Companies","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Malmquist index; Business; Technological change; Index (typography); Stock (firearms); Stock market; Technical change; Industrial organization; Economics; Total factor productivity; Economic growth; Geography; Computer science","score_opus":0.1483483920771416,"score_gpt":0.3765722134327633,"score_spread":0.22822382135562172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123401886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99889475,0.00019586952,0.00002394404,0.00009393846,0.0000013788596,0.0000022753052,0.00016369586,0.0000018785817,0.0006222219],"genre_scores_gemma":[0.9992398,0.00012313442,0.000022777815,0.0000090177355,0.000006262364,0.0000029317093,0.000264891,6.449551e-7,0.0003305323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980325,0.000040396,0.000017287004,0.000026344629,0.000043516255,0.000069237154],"domain_scores_gemma":[0.9985336,0.0002616493,0.00085888925,0.000039188548,0.00018813355,0.000118598226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043180233,0.00012237746,0.00012018403,0.0013154836,0.0002307598,0.00083648076,0.00018201742,0.00030630207,0.0017512051],"category_scores_gemma":[0.0023602624,0.000088784116,0.00020081147,0.0015589857,0.0001960843,0.0004118047,0.0005580564,0.00026877917,0.00023344524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052715048,0.000037101025,0.99434763,0.000017293312,0.000035717596,0.00020515184,0.0006157027,0.00022464668,0.000171867,0.000118573465,0.0002472615,0.0039263554],"study_design_scores_gemma":[9.741291e-7,0.000019135388,0.99888927,0.000005186432,0.0000050795493,0.000032885375,0.0004952241,0.00019623247,0.000026704914,0.000017962393,0.00031003173,0.0000012457923],"about_ca_topic_score_codex":0.015934182,"about_ca_topic_score_gemma":0.013132248,"teacher_disagreement_score":0.015934182,"about_ca_system_score_codex":0.00068458583,"about_ca_system_score_gemma":0.00035127832,"threshold_uncertainty_score":0.03168285},"labels":[],"label_agreement":null},{"id":"W3123638189","doi":"10.5430/ijfr.v12n3p135","title":"Stock Return Variations: The Validity of Systemic Risk, Size and Valuation as Explanatory Variables in the Lebanese Stock Market","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Valuation (finance); Stock market; Econometrics; Economics; Financial economics; Capital asset pricing model; Risk premium; Risk–return spectrum; Equity (law); Business; Accounting; Portfolio","score_opus":0.10967710056739641,"score_gpt":0.33669845823283756,"score_spread":0.22702135766544115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123638189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672866,0.00083954446,0.0008166067,0.0003451064,0.000008172132,0.0000057864872,0.00005234807,0.000005447256,0.0011982989],"genre_scores_gemma":[0.9993455,0.00021488889,0.00012949866,0.000024171242,0.000017208802,0.0000029159937,0.000050264855,0.0000015865613,0.00021403133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990326,0.0004593884,0.00005654711,0.00017891273,0.00015155277,0.00012087416],"domain_scores_gemma":[0.989762,0.007003051,0.0021691585,0.0003379476,0.00042188313,0.00030592008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035589612,0.0003827667,0.00040991354,0.0013593697,0.00035666974,0.0021715113,0.00034546916,0.0005494873,0.0011977701],"category_scores_gemma":[0.008918221,0.00013631915,0.0006682796,0.0010640008,0.00092612626,0.0013917914,0.00072116824,0.00059380045,0.00014121234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016851252,0.000065571134,0.9750861,0.000025787576,0.00021577347,0.00037262583,0.00032947338,0.0033346377,0.0005369472,0.0043935585,0.0001881875,0.015282897],"study_design_scores_gemma":[0.000024406962,0.00019356362,0.94702446,0.000057454225,0.0002515711,0.00020478816,0.0009863378,0.042155884,0.000759668,0.007411173,0.00089778786,0.000032962645],"about_ca_topic_score_codex":0.012380746,"about_ca_topic_score_gemma":0.005630385,"teacher_disagreement_score":0.012380746,"about_ca_system_score_codex":0.000868055,"about_ca_system_score_gemma":0.0008803252,"threshold_uncertainty_score":0.024617374},"labels":[],"label_agreement":null},{"id":"W3123673486","doi":"10.5430/ijfr.v12n3p162","title":"Five Years of Inflation Targeting Without Economic Growth: What Should Be Changed? The Case of Russia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exchange rate; Economics; Inflation (cosmology); Monetary economics; Market liquidity; Monetary policy; Interest rate; Economic stability; Geopolitics; Inflation targeting; International economics; Macroeconomics","score_opus":0.09824239394850096,"score_gpt":0.3682291066797261,"score_spread":0.2699867127312251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123673486","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2606009,0.27882117,0.010710147,0.24060024,0.004219725,0.000050093648,0.00019763083,0.00006334822,0.2047368],"genre_scores_gemma":[0.92374766,0.06163348,0.0015434632,0.007070106,0.00084050867,0.000024262361,0.000047376896,0.000032694188,0.0050602756],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99608743,0.0021653068,0.00022074369,0.00024518295,0.00059372286,0.00068764406],"domain_scores_gemma":[0.9974964,0.0012026749,0.0004981746,0.00017196934,0.0003344307,0.00029642257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049490635,0.0002730877,0.00054162915,0.0008875288,0.0020169031,0.0062649786,0.0007401395,0.0031817453,0.0010996137],"category_scores_gemma":[0.006953887,0.00016929497,0.00057827274,0.0012197661,0.004176483,0.00570647,0.0022163233,0.0043581487,0.0002526977],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001789329,0.00007375663,0.012179064,0.0010085504,0.00016577478,0.0036908519,0.013042878,0.0036842264,0.00055979996,0.87065756,0.011390422,0.08336809],"study_design_scores_gemma":[0.0000416125,0.0003144375,0.046418637,0.005420321,0.00025262168,0.002897249,0.04146073,0.0040567107,0.0015712582,0.44435403,0.45302913,0.00018337234],"about_ca_topic_score_codex":0.010158154,"about_ca_topic_score_gemma":0.009147913,"teacher_disagreement_score":0.010158154,"about_ca_system_score_codex":0.0036361695,"about_ca_system_score_gemma":0.0032072419,"threshold_uncertainty_score":0.026382387},"labels":[],"label_agreement":null},{"id":"W3123800964","doi":"10.5430/ijfr.v12n2p184","title":"Problems of an Ergonomic Approach to the Design of a Uniform Medical Suit","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Documentation; Technical documentation; Process (computing); Human factors and ergonomics; Object (grammar); Computer science; Industrial design; Engineering management; Manufacturing engineering; Risk analysis (engineering); Operations management; Engineering; Business; Poison control; Medicine; Mechanical engineering; Medical emergency; Artificial intelligence","score_opus":0.07663703213542207,"score_gpt":0.3317244143374297,"score_spread":0.25508738220200766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123800964","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042628333,0.0027873158,0.8832104,0.007829117,0.0007269446,0.00069211563,0.000069894726,0.00043121536,0.06162464],"genre_scores_gemma":[0.29448622,0.0019439773,0.6804031,0.00074956764,0.00014700727,0.0006622659,0.00008657843,0.00015587447,0.02136536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9708035,0.016746702,0.0022213233,0.0013243309,0.008264918,0.00063935894],"domain_scores_gemma":[0.98852855,0.005542477,0.00083775586,0.001576704,0.0031199278,0.00039457396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0144234095,0.0010298024,0.0005670351,0.0025297368,0.002993866,0.0063910577,0.002568475,0.0029402464,0.005192545],"category_scores_gemma":[0.023165708,0.0010994582,0.00076080253,0.0015001555,0.0048559494,0.003345744,0.002109478,0.0020613777,0.0010536094],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027926208,0.00042888496,0.005395635,0.0017422815,0.00006700532,0.0021061704,0.01952542,0.044502266,0.011150524,0.5675822,0.010340357,0.33688],"study_design_scores_gemma":[0.00016094565,0.001246006,0.008273915,0.0034245714,0.00016885629,0.005135064,0.02765918,0.12765323,0.011193686,0.25742927,0.55729336,0.0003620027],"about_ca_topic_score_codex":0.003037835,"about_ca_topic_score_gemma":0.0028703818,"teacher_disagreement_score":0.0144234095,"about_ca_system_score_codex":0.0036699537,"about_ca_system_score_gemma":0.0055650147,"threshold_uncertainty_score":0.07627922},"labels":[],"label_agreement":null},{"id":"W3123815437","doi":"10.5430/ijfr.v12n2p233","title":"Workers’ Remittances and Economic Growth: Evidence From Bangladesh","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Earnings; Granger causality; Causality (physics); Foreign exchange; Capital (architecture); Human capital; Developing country; Monetary economics; Demographic economics; Development economics; Economic growth; Econometrics; Geography","score_opus":0.08070293096471247,"score_gpt":0.4224724658668133,"score_spread":0.3417695349021008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123815437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896337,0.0011335425,0.000116230825,0.0009115223,0.000007564615,0.000007714469,0.00217663,0.000004143506,0.0060091238],"genre_scores_gemma":[0.9968034,0.0013812023,0.000049009912,0.0000376715,0.0000081227045,0.0000045897,0.0008114369,0.0000016767023,0.0009029704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997745,0.000068720095,0.000029108885,0.000034084936,0.000042916057,0.000050694613],"domain_scores_gemma":[0.99787235,0.00076364924,0.00077500945,0.00008757331,0.00033822705,0.00016328428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046509912,0.0002066846,0.00018783862,0.00087762374,0.00038443043,0.00053841755,0.00020343455,0.0002798372,0.002824694],"category_scores_gemma":[0.0018068814,0.00012784876,0.00022686548,0.0020226894,0.00039089422,0.00040192503,0.0004857523,0.0004186452,0.00057407253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012213452,0.000044325912,0.9819188,0.00018204813,0.000081034595,0.0006682298,0.0024783714,0.00042001525,0.00032305578,0.0008215797,0.0016069099,0.01133338],"study_design_scores_gemma":[0.000006889313,0.00006431901,0.9865481,0.000118422446,0.0000639904,0.00017500651,0.0070560626,0.00039440097,0.0002673016,0.0002415615,0.005049293,0.000014519782],"about_ca_topic_score_codex":0.062235273,"about_ca_topic_score_gemma":0.08316332,"teacher_disagreement_score":0.062235273,"about_ca_system_score_codex":0.00054196693,"about_ca_system_score_gemma":0.00060233776,"threshold_uncertainty_score":0.12374604},"labels":[],"label_agreement":null},{"id":"W3124170218","doi":"10.5430/ijfr.v12n3p251","title":"Women's Leadership and Pragmatism Incidences on Performance of Listed Family-Owned Firms in the Cultural Context of Arab Countries","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leadership style; Context (archaeology); Sample (material); Business; Control (management); Accounting; Style (visual arts); Political science; Public relations; Demographic economics; Management; Economics","score_opus":0.10389698577379662,"score_gpt":0.3400834851822082,"score_spread":0.23618649940841158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124170218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935085,0.000061277016,0.0000045363076,0.000021601862,0.0000016596058,5.1228074e-7,0.000013005921,1.3811906e-7,0.00054647884],"genre_scores_gemma":[0.99971753,0.00006372303,0.000005553363,0.000005703716,0.0000023172454,6.560865e-7,0.000013917535,1.8124418e-7,0.00019050222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996257,0.00012789185,0.000024297386,0.00003839691,0.00006380134,0.00011999876],"domain_scores_gemma":[0.99853206,0.00029917428,0.0007210887,0.00004532256,0.00018127573,0.00022100053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076110277,0.00016036375,0.00013477515,0.00067153055,0.00051102036,0.0008742607,0.00014284955,0.00016340455,0.0018569768],"category_scores_gemma":[0.0021113688,0.00008264054,0.00012334234,0.0006553181,0.00062475837,0.00040445293,0.0005201815,0.00025326622,0.00017833285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060163293,0.000038103666,0.9864189,0.000013257615,0.000011946753,0.00013858218,0.007041188,0.000025010811,0.00017955207,0.00014541694,0.00010621675,0.0058217472],"study_design_scores_gemma":[8.022751e-7,0.000044459826,0.98123837,0.000012858603,0.000004348696,0.0000792511,0.018150866,0.000025467127,0.0000602248,0.000021667927,0.0003585031,0.0000030930416],"about_ca_topic_score_codex":0.0091493735,"about_ca_topic_score_gemma":0.018709786,"teacher_disagreement_score":0.0091493735,"about_ca_system_score_codex":0.00042369,"about_ca_system_score_gemma":0.00041096547,"threshold_uncertainty_score":0.018192232},"labels":[],"label_agreement":null},{"id":"W3124400662","doi":"10.5430/ijfr.v12n2p369","title":"Empirical Study of the Dividend Policy of Russian Companies at the Present Stage","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Dividend policy; Dividend payout ratio; Dividend; Business; Market capitalization; Return on assets; Return on equity; Revenue; Leverage (statistics); Dividend yield; Payment; Monetary economics; Economics; Finance; Stock exchange; Stock market","score_opus":0.17135774423168265,"score_gpt":0.4897282373602489,"score_spread":0.31837049312856625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124400662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990637,0.000076137505,0.000050508443,0.00003971363,7.285294e-7,0.0000022287643,0.00011690521,0.0000011406104,0.00064895453],"genre_scores_gemma":[0.9991959,0.00012428363,0.00006257532,0.000005876408,0.000004006392,0.000002235932,0.00026301033,5.4229605e-7,0.00034160988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997162,0.00006323653,0.00002937254,0.000043173935,0.00007611649,0.00007183209],"domain_scores_gemma":[0.9974087,0.0010216429,0.0010843672,0.00010955423,0.0002487371,0.00012704915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071824604,0.000095715186,0.0001789609,0.0007721643,0.0002661884,0.0006773921,0.00019138968,0.00029414918,0.00091346493],"category_scores_gemma":[0.002729993,0.00010169236,0.000130741,0.0008108419,0.00026792538,0.0005604997,0.0002698203,0.000326921,0.00015946518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012025611,0.00015258807,0.98038596,0.000053293752,0.00004350394,0.00032824956,0.0014785106,0.0021059616,0.001378903,0.0019086084,0.00035725316,0.011686849],"study_design_scores_gemma":[0.0000029009443,0.000047875103,0.9939557,0.000017704922,0.000010911693,0.00009698422,0.0013348525,0.002239765,0.0006711993,0.00020424518,0.0014120141,0.000005812209],"about_ca_topic_score_codex":0.008132805,"about_ca_topic_score_gemma":0.0059146257,"teacher_disagreement_score":0.008132805,"about_ca_system_score_codex":0.0007582447,"about_ca_system_score_gemma":0.00053692237,"threshold_uncertainty_score":0.016170979},"labels":[],"label_agreement":null},{"id":"W3124422831","doi":"10.5430/ijfr.v12n2p242","title":"Improving the Mechanisms of Public-Private Partnership","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Public-Private Partnership Projects","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"General partnership; Public–private partnership; Business; Private sector; State (computer science); Mechanism (biology); Economics; Economic system; Public relations; Finance; Economic growth; Political science","score_opus":0.14438717299101142,"score_gpt":0.37139981439316305,"score_spread":0.22701264140215163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124422831","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03995816,0.005073274,0.3159897,0.023675984,0.0007570763,0.000976018,0.00023367244,0.000612953,0.6127231],"genre_scores_gemma":[0.9286119,0.0024726484,0.03433684,0.0009930957,0.00028588745,0.0008339464,0.00009070252,0.00006089508,0.032314133],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9898609,0.0046491674,0.000580326,0.0013559435,0.0024331177,0.0011204398],"domain_scores_gemma":[0.9917304,0.0029642303,0.0013224494,0.0016459876,0.00170947,0.00062739797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009323224,0.0004500094,0.00037886933,0.0023823697,0.0029192343,0.009502542,0.0016116934,0.002975409,0.01270102],"category_scores_gemma":[0.014094889,0.00047659513,0.0008315658,0.0016950074,0.0077561857,0.008271277,0.0051973425,0.002755313,0.0021573296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067776728,0.00001478258,0.00029715543,0.00003575016,0.0000061754745,0.000043458367,0.00036280832,0.0004980412,0.00012524278,0.9885493,0.0010289518,0.009031643],"study_design_scores_gemma":[0.000049522387,0.000058875277,0.0012849523,0.00020797356,0.000027059175,0.00019753003,0.00080862513,0.003376216,0.001120047,0.82670504,0.1661221,0.000042153224],"about_ca_topic_score_codex":0.0019322314,"about_ca_topic_score_gemma":0.001138936,"teacher_disagreement_score":0.01270102,"about_ca_system_score_codex":0.0063951956,"about_ca_system_score_gemma":0.01008972,"threshold_uncertainty_score":0.049306512},"labels":[],"label_agreement":null},{"id":"W3124443569","doi":"10.5430/ijfr.v12n3p149","title":"Compliance Factors of Malaysian Private Entity Reporting Standard (MPERS) by Small Medium Enterprises (SMEs)","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kementerian Pendidikan Malaysia; Universiti Sains Islam Malaysia","keywords":"Business; Accounting; Compliance (psychology); Context (archaeology); Position (finance); Sample (material); Affect (linguistics); Perception; Small and medium-sized enterprises; Empirical evidence; Marketing; Finance; Psychology","score_opus":0.06132948639282859,"score_gpt":0.3421962734578475,"score_spread":0.2808667870650189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124443569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981475,0.000049824495,0.00017789182,0.00017651031,0.0000033781346,0.000016756769,0.000024565032,0.0000054825164,0.001398219],"genre_scores_gemma":[0.9994659,0.000036491518,0.00020468293,0.000023144,0.0000027477404,0.000005619081,0.00002816282,0.0000015233477,0.00023184881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99087596,0.0037631828,0.0016529541,0.00039861313,0.0027841167,0.0005251254],"domain_scores_gemma":[0.9342971,0.020150725,0.032500453,0.0029172427,0.00828478,0.0018496709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008904148,0.00015081785,0.00018243513,0.0008863887,0.0004446984,0.0013314348,0.00033374105,0.0004308895,0.001518114],"category_scores_gemma":[0.039011005,0.00015148993,0.00025383747,0.0009223489,0.00055369484,0.00097262126,0.0007593662,0.00047820402,0.00024862753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006283835,0.00012855015,0.9763405,0.00006208044,0.000032218708,0.0002090798,0.004739641,0.00018960942,0.0009827988,0.00032474697,0.00030853375,0.016619435],"study_design_scores_gemma":[0.00000293272,0.00020447599,0.986839,0.000053392865,0.000013114642,0.00023834208,0.010001406,0.00051621074,0.00055007683,0.00010242005,0.0014601469,0.000018451217],"about_ca_topic_score_codex":0.0043072174,"about_ca_topic_score_gemma":0.00378898,"teacher_disagreement_score":0.008904148,"about_ca_system_score_codex":0.00064166985,"about_ca_system_score_gemma":0.0012607632,"threshold_uncertainty_score":0.047090173},"labels":[],"label_agreement":null},{"id":"W3124678765","doi":"10.5430/ijfr.v12n1p357","title":"Performance Analysis of GCC Banks: A Survey","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Return on assets; Return on equity; Intermediation; Business; Capital adequacy ratio; Net profit; Profit (economics); Net income; Financial system; Net interest income; Economics; Finance; Interest rate; Profitability index; Microeconomics","score_opus":0.1260455694446119,"score_gpt":0.3547893149837739,"score_spread":0.22874374553916202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124678765","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916883,0.0020215383,0.00012648274,0.0003714267,0.000011270564,0.000016084357,0.0024048958,0.000016995384,0.0033430238],"genre_scores_gemma":[0.9938258,0.003016098,0.00020673516,0.00012709646,0.000017711915,0.000017247121,0.0018612448,0.000007030171,0.0009210149],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988067,0.00023408257,0.00025760283,0.00014302209,0.00035921644,0.00019930318],"domain_scores_gemma":[0.9926777,0.0012828566,0.0030263797,0.00022478885,0.0022081493,0.000580209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012700798,0.00027002182,0.00022861958,0.0038856927,0.00042521302,0.0009858359,0.00025846067,0.00042140152,0.0022623988],"category_scores_gemma":[0.004837865,0.00013201933,0.00020886378,0.006146851,0.0003656102,0.00072683516,0.00042629748,0.00029907038,0.0010014623],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061005958,0.000035359393,0.97907925,0.00008970553,0.00002256437,0.00016876055,0.0010360063,0.000120222,0.00022374248,0.00014108396,0.0020408717,0.016981496],"study_design_scores_gemma":[0.0000018702349,0.0000640379,0.99147356,0.000098390396,0.00001750148,0.0004971343,0.002944728,0.00016335909,0.00018435433,0.00004257528,0.004504813,0.0000076031693],"about_ca_topic_score_codex":0.011511344,"about_ca_topic_score_gemma":0.009115769,"teacher_disagreement_score":0.011511344,"about_ca_system_score_codex":0.0008659976,"about_ca_system_score_gemma":0.0008558309,"threshold_uncertainty_score":0.02288872},"labels":[],"label_agreement":null},{"id":"W3124721362","doi":"10.5430/ijfr.v12n2p357","title":"The Influence of Auditor Opinion, Audit Committee, Discretionary Accrual on Corporate Performance and Cumulative Abnormal Return (Evidence From Indonesia Stock Exchange)","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Stock exchange; Business; Accrual; Audit committee; Auditor's report; Audit; Abnormal return; Population; Auditor independence; Joint audit; Internal audit; Finance","score_opus":0.07512385436275272,"score_gpt":0.32426904062672957,"score_spread":0.24914518626397686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124721362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972357,0.00045502893,0.000059996724,0.00019911594,0.000012467399,0.000005585271,0.00017072872,0.0000027224876,0.001858633],"genre_scores_gemma":[0.9992091,0.0002122588,0.000043843076,0.000025186853,0.000022896706,0.0000022831257,0.00016848206,0.0000014888524,0.00031448837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812907,0.000537642,0.00021321069,0.00021998755,0.0006713943,0.00022869698],"domain_scores_gemma":[0.9780804,0.006969988,0.011580957,0.00054880005,0.0016098788,0.0012100949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024645843,0.00021348863,0.00022704207,0.001077962,0.0002799661,0.0012220627,0.00022882434,0.0002928843,0.0017493473],"category_scores_gemma":[0.007938963,0.00010051703,0.00038726136,0.0011468617,0.00043488454,0.0006862087,0.0004927304,0.00056947867,0.00027320127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073890595,0.00005960389,0.99449843,0.000021613074,0.000068423324,0.00006475965,0.00013543994,0.00007227784,0.00008494615,0.00008642559,0.00022102616,0.0046132435],"study_design_scores_gemma":[0.0000017401833,0.000036251335,0.99921393,0.000011116158,0.00003769039,0.000020563168,0.00018715864,0.00016669952,0.00006895005,0.00003103892,0.00022210299,0.0000026664736],"about_ca_topic_score_codex":0.008379787,"about_ca_topic_score_gemma":0.012756004,"teacher_disagreement_score":0.008379787,"about_ca_system_score_codex":0.0005178519,"about_ca_system_score_gemma":0.00077236927,"threshold_uncertainty_score":0.016662002},"labels":[],"label_agreement":null},{"id":"W3124740409","doi":"10.5430/ijfr.v12n2p284","title":"The Relative Importance of Financial Ratios in Making Investment and Credit Decisions in Jordan","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Profitability index; Financial ratio; Investment decisions; Finance; Stock exchange; Debt; Investment (military); Market liquidity; Financial system; Accounting; Behavioral economics","score_opus":0.0535390942351928,"score_gpt":0.35694688840112737,"score_spread":0.30340779416593455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124740409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989307,0.00055667566,0.00032184643,0.00066987396,0.000012655931,0.000023433913,0.00003950664,0.000005765814,0.009063269],"genre_scores_gemma":[0.9980414,0.00042138327,0.00047720573,0.0000622004,0.000016955966,0.0000069341636,0.000028435546,0.0000029789098,0.000942416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679095,0.001815168,0.0002521836,0.00016187814,0.0006999478,0.0002799608],"domain_scores_gemma":[0.98992693,0.003403977,0.0028389643,0.00016822656,0.0025173498,0.001144556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050814087,0.00018207436,0.00017603807,0.0016623227,0.0005691466,0.0022913062,0.00031125377,0.00036249778,0.0024301338],"category_scores_gemma":[0.014684372,0.0001272909,0.00010639873,0.0009952456,0.0005956179,0.001393414,0.000718233,0.00039705503,0.00038146772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051828177,0.00030738412,0.8300374,0.00017614875,0.0000510384,0.0008640381,0.009673866,0.00078287703,0.0012534413,0.0022879518,0.0016574161,0.15239023],"study_design_scores_gemma":[0.000038106333,0.0006876762,0.9008736,0.0002579135,0.000058272806,0.0012518935,0.06773464,0.005328171,0.0022506292,0.0031414605,0.018309582,0.000068121444],"about_ca_topic_score_codex":0.0037952848,"about_ca_topic_score_gemma":0.0050831297,"teacher_disagreement_score":0.0050814087,"about_ca_system_score_codex":0.0010970164,"about_ca_system_score_gemma":0.0014845413,"threshold_uncertainty_score":0.02687341},"labels":[],"label_agreement":null},{"id":"W3124741783","doi":"10.5430/ijfr.v12n3p205","title":"The Effect of Net Income and Other Comprehensive Income on Future’s Comprehensive Income With Attribution of Comprehensive Income as Moderating Variable","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Net income; Net national income; Comprehensive income; Predictive power; Economics; Adjusted gross income; Variable (mathematics); Income distribution; Econometrics; Demographic economics; Gross income; Public economics; Accounting; Mathematics; Inequality","score_opus":0.046886366808194184,"score_gpt":0.36459575034807906,"score_spread":0.31770938353988487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124741783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306893,0.00053808163,0.0008750159,0.000545637,0.00008088589,0.00006032545,0.00063979387,0.0000219824,0.0041693193],"genre_scores_gemma":[0.99690896,0.00018102284,0.00058517867,0.00007860413,0.0000322266,0.00006829154,0.00064603664,0.000007709198,0.0014920228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982376,0.00056132197,0.000119490236,0.00044054672,0.00028605995,0.00035492275],"domain_scores_gemma":[0.9869065,0.0058128494,0.0030407135,0.0012130181,0.0012094383,0.0018173993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027564175,0.00071829156,0.0006292606,0.00094794726,0.0008632302,0.0016413054,0.0007378518,0.00087399664,0.008127772],"category_scores_gemma":[0.013489416,0.00024240218,0.0011684875,0.00093361083,0.00066109607,0.0015997536,0.0023272254,0.0021664186,0.00053016323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030650687,0.00041229202,0.9870176,0.000060033428,0.0003762169,0.00011828653,0.00076888275,0.00035495267,0.00022647242,0.0012479157,0.00045985702,0.0086510535],"study_design_scores_gemma":[0.00001900602,0.00034907332,0.99262434,0.00008827217,0.000498604,0.00008088546,0.0011837084,0.0018108934,0.000434285,0.0013698649,0.001517438,0.000023634477],"about_ca_topic_score_codex":0.009465197,"about_ca_topic_score_gemma":0.008907203,"teacher_disagreement_score":0.009465197,"about_ca_system_score_codex":0.00075181347,"about_ca_system_score_gemma":0.0015227789,"threshold_uncertainty_score":0.027190149},"labels":[],"label_agreement":null},{"id":"W3124804977","doi":"10.5430/ijfr.v12n2p210","title":"Features of Information Coverage of Regional Environmental Policy on the Instance of the Republic of Tatarstan","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Environmental planning; Natural resource; Politics; Business; Government (linguistics); Environmental resource management; Environmental quality; Environmental law; Environmental protection; Political science; Economics; Geography","score_opus":0.023694394823949166,"score_gpt":0.29221998832302776,"score_spread":0.26852559349907856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124804977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5426746,0.0022460597,0.0005368859,0.0027084774,0.00010468797,0.00032862477,0.116243556,0.0006294441,0.3345277],"genre_scores_gemma":[0.89297634,0.0017121728,0.0010796454,0.0006225854,0.000092004906,0.00027112503,0.052739616,0.00010450638,0.050402086],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994004,0.0000969528,0.00007543307,0.00007391285,0.00020913144,0.000144253],"domain_scores_gemma":[0.99629706,0.0018171344,0.00076743786,0.0001735327,0.00074432447,0.00020047459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051532534,0.0001341506,0.00015349095,0.0041365167,0.0006084452,0.0012884291,0.00040270897,0.0004650486,0.021250943],"category_scores_gemma":[0.0029912428,0.00013492431,0.000150192,0.006938418,0.00021031138,0.00056839816,0.0004113982,0.00025771582,0.0020888497],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001153543,0.0002972735,0.35191962,0.004326414,0.00013394625,0.003086626,0.014005021,0.007641093,0.011952035,0.040585592,0.3662902,0.19860856],"study_design_scores_gemma":[0.000016429578,0.000066495384,0.6215319,0.00027939485,0.00003697995,0.0003686247,0.0031765755,0.0011970757,0.0020294006,0.00043463235,0.3708341,0.00002840003],"about_ca_topic_score_codex":0.05207692,"about_ca_topic_score_gemma":0.036174018,"teacher_disagreement_score":0.05207692,"about_ca_system_score_codex":0.001821041,"about_ca_system_score_gemma":0.0021378035,"threshold_uncertainty_score":0.10354763},"labels":[],"label_agreement":null},{"id":"W3124841591","doi":"10.5430/ijfr.v12n3p220","title":"Does the Environmental Internal Audit Impact the Achieving of Sustainable Development in Industrial Companies Listed on the Amman Stock Exchange?","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit; Business; Internal audit; Accounting; Stock exchange; Environmental audit; Internal control; Sustainable development; Legislation; Environmental compliance; Operational auditing; Environmental impact assessment; Financial Audit; Finance; Joint audit; Environmental protection; Environmental science","score_opus":0.05674103598654326,"score_gpt":0.32604749409668704,"score_spread":0.26930645811014375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124841591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954644,0.00017337114,0.000060613806,0.0006611993,0.000008831607,0.000006181045,0.000022595961,0.0000024879544,0.0036004225],"genre_scores_gemma":[0.9994093,0.00013267055,0.000059069935,0.00004185539,0.0000064532824,0.0000019267477,0.00002006645,6.050304e-7,0.00032810547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975037,0.0008588982,0.00015599704,0.00011721036,0.0008381221,0.00052612356],"domain_scores_gemma":[0.9879296,0.0027895062,0.0058826176,0.00024428344,0.0015943521,0.0015596098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026632051,0.00014064283,0.00015222625,0.00070112327,0.00060550496,0.0017606366,0.00022640674,0.00037511034,0.0024072106],"category_scores_gemma":[0.008533463,0.0000778325,0.00019236832,0.00078670954,0.0006460949,0.0010303938,0.0013198251,0.00057448907,0.00018382068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005836314,0.0002923413,0.9661795,0.0000689689,0.000028886338,0.00018195128,0.0016636113,0.0003887091,0.0003431499,0.00082009524,0.0005474679,0.02942702],"study_design_scores_gemma":[0.0000020971236,0.00008873381,0.9917636,0.000047681446,0.000014301119,0.000058454138,0.005858976,0.00031701458,0.00032903432,0.00019820244,0.0013136676,0.000008237118],"about_ca_topic_score_codex":0.00786864,"about_ca_topic_score_gemma":0.0150486855,"teacher_disagreement_score":0.00786864,"about_ca_system_score_codex":0.001379651,"about_ca_system_score_gemma":0.0025130885,"threshold_uncertainty_score":0.015645683},"labels":[],"label_agreement":null},{"id":"W3124978395","doi":"10.5430/ijfr.v8n3p142","title":"Momentum: An Economic View","year":2017,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Momentum (technical analysis); Fractal; Economics; Asset (computer security); Efficient-market hypothesis; Rational expectations; Mandelbrot set; Stock (firearms); Financial economics; Stock market; Capital asset pricing model; Financial market; Econometrics; Mathematical economics; Computer science; Mathematics; Finance; Engineering; Artificial intelligence","score_opus":0.170044450367031,"score_gpt":0.4058651936106879,"score_spread":0.2358207432436569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124978395","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024157217,0.114856206,0.10354529,0.07617073,0.0041679693,0.000061856605,0.00045393273,0.00017527031,0.6764115],"genre_scores_gemma":[0.81845003,0.0685935,0.016010528,0.009986715,0.020138342,0.00016840154,0.00022585975,0.00014761744,0.06627888],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943167,0.0001342647,0.000024648505,0.0001334854,0.00021214598,0.00006368053],"domain_scores_gemma":[0.9990183,0.00048377385,0.000116024254,0.00009009828,0.00017246461,0.000119345576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010678581,0.00085001026,0.00057885674,0.002384786,0.0011716076,0.005316818,0.00089567195,0.0024284476,0.0075282915],"category_scores_gemma":[0.002752882,0.00023954407,0.00045205766,0.001265839,0.006880147,0.009558776,0.001596717,0.0034951468,0.0014314989],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000589976,0.000007605012,0.00013445386,0.00003193166,0.0000036928664,0.000042641233,0.000072487535,0.00042771644,0.000056762146,0.99156624,0.0026792015,0.004971293],"study_design_scores_gemma":[0.000007215229,0.000021927097,0.00036700917,0.00007989498,0.0000064732985,0.00013915989,0.00007837463,0.0022672005,0.00006003743,0.9436114,0.0533508,0.0000105427725],"about_ca_topic_score_codex":0.00121104,"about_ca_topic_score_gemma":0.0003845369,"teacher_disagreement_score":0.0075282915,"about_ca_system_score_codex":0.0017385392,"about_ca_system_score_gemma":0.0008159011,"threshold_uncertainty_score":0.025184691},"labels":[],"label_agreement":null},{"id":"W3124999583","doi":"10.5430/ijfr.v12n2p341","title":"Concealing Financial Distress With Earnings Management: A Perspective on Malaysian Public Listed Companies","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Earnings management; Accounting; Earnings per share; Financial ratio; Cash flow; Leverage (statistics); Finance; Earnings; Financial system","score_opus":0.03231049176521165,"score_gpt":0.31509462008823164,"score_spread":0.28278412832301997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124999583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564198,0.013183263,0.00041706263,0.012949227,0.000055923934,0.000018799677,0.000100756915,0.000003780401,0.016851323],"genre_scores_gemma":[0.9920453,0.006202308,0.00012967575,0.0005430953,0.00007138785,0.000003906592,0.000024751058,0.0000011626344,0.0009783191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992725,0.00033829425,0.000036025336,0.00005444287,0.00013236326,0.00016637435],"domain_scores_gemma":[0.99770975,0.00066096726,0.0011324101,0.000028106124,0.00022652684,0.00024220989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011034518,0.000274635,0.00015573238,0.0015039387,0.0014880628,0.0031639284,0.00029117902,0.00081304,0.0016585996],"category_scores_gemma":[0.0016988063,0.000121099394,0.00020876381,0.0013981044,0.0017791647,0.003093516,0.001259092,0.001024772,0.0001078546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013247278,0.00029987,0.724718,0.0007137016,0.000060266226,0.008455282,0.14395387,0.0005865198,0.0011774584,0.031963535,0.0057698707,0.08216906],"study_design_scores_gemma":[0.0000058472183,0.0002637201,0.5954826,0.0016697048,0.000046863766,0.002705079,0.36783296,0.0012139375,0.00054278946,0.0051362817,0.025046153,0.000054049135],"about_ca_topic_score_codex":0.010091307,"about_ca_topic_score_gemma":0.019824846,"teacher_disagreement_score":0.010091307,"about_ca_system_score_codex":0.0024680393,"about_ca_system_score_gemma":0.0015675506,"threshold_uncertainty_score":0.020065129},"labels":[],"label_agreement":null},{"id":"W3125196409","doi":"10.5430/ijfr.v5n4p52","title":"The Link between Financial System and Economics: Functions of the Financial System, Financial Crises, and Policy Implications","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Finance; Indirect finance; Financial regulation; Financial stability; Financial system; Financial crisis; Business; Geography of finance; Order (exchange); Damages; Financial analysis; Economics; Macroeconomics","score_opus":0.057031406343100034,"score_gpt":0.32565814874534543,"score_spread":0.2686267424022454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125196409","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22837238,0.2926538,0.014158772,0.30310506,0.0010194898,0.00005881708,0.00053262885,0.000044285738,0.16005473],"genre_scores_gemma":[0.9110749,0.08041617,0.0014892004,0.0033623222,0.00080348674,0.000029065648,0.000062858904,0.000008925021,0.002753088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999199,0.00048153894,0.00002780314,0.00005512997,0.00010644879,0.00013015588],"domain_scores_gemma":[0.99575114,0.0028815262,0.00054614997,0.00007404635,0.0004264476,0.0003206675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016635061,0.00031514745,0.00038119816,0.00293209,0.0009196194,0.004542352,0.00029464543,0.0012210365,0.005757205],"category_scores_gemma":[0.0040381583,0.00019146252,0.0002037158,0.0037572354,0.004741672,0.0063134553,0.0013108435,0.0017395142,0.0002297081],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069747744,0.0001083014,0.03760756,0.00063175656,0.000054781045,0.00031211023,0.00092223764,0.0035868604,0.00029414677,0.8701783,0.009889868,0.07634429],"study_design_scores_gemma":[0.000017080276,0.00011672361,0.14282633,0.0014922837,0.00005060911,0.00048666503,0.006365832,0.004566444,0.00025082627,0.7783676,0.065385595,0.00007404687],"about_ca_topic_score_codex":0.0052217655,"about_ca_topic_score_gemma":0.0057632923,"teacher_disagreement_score":0.005757205,"about_ca_system_score_codex":0.0032719856,"about_ca_system_score_gemma":0.0020748067,"threshold_uncertainty_score":0.023739994},"labels":[],"label_agreement":null},{"id":"W3125371718","doi":"10.5430/ijfr.v12n3p240","title":"The Moderating Effect of Non-audit Services Fee on Aggressive Tax Planning: Empirical Evidence From Malaysian Listed Companies","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Taxation and Avoidance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Leverage (statistics); Profitability index; Audit; Accounting; Finance","score_opus":0.09863732636929756,"score_gpt":0.3964285661057124,"score_spread":0.29779123973641486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125371718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855524,0.00020274178,0.0000706954,0.00014870243,0.000005155981,0.000008446253,0.00010726262,0.0000013552155,0.00090045313],"genre_scores_gemma":[0.99928623,0.00011864982,0.00006086271,0.00003314063,0.000006637475,0.00000485842,0.00009823591,9.534735e-7,0.00039041144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998448,0.00058627105,0.00017811109,0.00020361692,0.0003128628,0.0002711186],"domain_scores_gemma":[0.972671,0.009657768,0.013728085,0.00087389775,0.0014400285,0.001629314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020859167,0.00022382788,0.00031375044,0.00076654035,0.0005875399,0.0013530157,0.00033852214,0.00036698068,0.0038378027],"category_scores_gemma":[0.009288657,0.00015655528,0.00041707975,0.00097567856,0.0005896734,0.0008382329,0.00082689995,0.00084368594,0.00031839483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006107378,0.0000663622,0.99549496,0.000027769427,0.000056317753,0.000094061455,0.0006028838,0.00006830663,0.00009896005,0.00015614457,0.00010123516,0.0031720249],"study_design_scores_gemma":[0.000003454787,0.00008143759,0.996657,0.000036734145,0.00006884225,0.00005644181,0.0020011524,0.00024161146,0.00018937209,0.0000721983,0.00058632327,0.0000054253915],"about_ca_topic_score_codex":0.017488357,"about_ca_topic_score_gemma":0.029302306,"teacher_disagreement_score":0.017488357,"about_ca_system_score_codex":0.0007802407,"about_ca_system_score_gemma":0.0014667761,"threshold_uncertainty_score":0.03477311},"labels":[],"label_agreement":null},{"id":"W3125468832","doi":"10.5430/ijfr.v12n2p251","title":"Financial Factors and Their Relative Importance Analysis in Peruvian Gold Mining Companies’ Stock Price","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dividend yield; Dividend; Earnings; Earnings per share; Share price; Economics; Econometrics; Earnings yield; Common stock; Multicollinearity; Homoscedasticity; Price–earnings ratio; Stock (firearms); Financial economics; Yield (engineering); Stock exchange; Dividend policy; Regression analysis; Accounting; Statistics; Finance; Mathematics; Context (archaeology); Heteroscedasticity","score_opus":0.10958754372347315,"score_gpt":0.3871900828953716,"score_spread":0.2776025391718985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125468832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984162,0.00047044837,0.00017251442,0.00007207579,0.000003619216,0.000003498156,0.000078301055,0.0000046907207,0.00077878125],"genre_scores_gemma":[0.9992561,0.00021242876,0.00012089613,0.0000059376034,0.00000860279,0.0000022447005,0.00012944461,0.0000011273412,0.00026321062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997899,0.000057378656,0.000021852986,0.00003624356,0.00006619863,0.000028560195],"domain_scores_gemma":[0.9988856,0.00039315788,0.00043519438,0.00004915202,0.00018924157,0.000047651134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049208757,0.00020155229,0.00016399207,0.0014765306,0.00019220568,0.0007695584,0.00013361557,0.00020221849,0.0011108896],"category_scores_gemma":[0.0024198163,0.0000932572,0.0003250588,0.0013857471,0.0002162754,0.00041268245,0.0003568672,0.00027925087,0.00012201636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045333916,0.000018937553,0.98595965,0.00003747816,0.00009797656,0.00031457352,0.00039614376,0.00026203512,0.00062824914,0.00025034943,0.00011474563,0.011874593],"study_design_scores_gemma":[0.0000010741824,0.00002803608,0.99810326,0.000009336082,0.000029985526,0.000077543984,0.00027943173,0.0007533269,0.00014208136,0.0000878696,0.00048525343,0.0000028679306],"about_ca_topic_score_codex":0.0076602693,"about_ca_topic_score_gemma":0.00896852,"teacher_disagreement_score":0.0076602693,"about_ca_system_score_codex":0.00028636277,"about_ca_system_score_gemma":0.00022919662,"threshold_uncertainty_score":0.015231371},"labels":[],"label_agreement":null},{"id":"W3125479956","doi":"10.5430/ijfr.v12n3p103","title":"Some Insights Into Financial Literacy Among Undergraduate Students: A Case of Bosnia and Herzegovina","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Federalno Ministarstvo Obrazovanja i Nauke","keywords":"Financial literacy; Finance; Sample (material); Psychology; Exploratory research; Nonprobability sampling; Exploratory factor analysis; Financial analysis; Business; Sociology; Social science; Developmental psychology","score_opus":0.02462080896867439,"score_gpt":0.3588383182914837,"score_spread":0.3342175093228093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125479956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974929,0.00017561205,0.00005202645,0.0007098624,0.000007082682,0.000008053616,0.000008864403,9.833568e-7,0.0015444836],"genre_scores_gemma":[0.9990088,0.00022497895,0.000057710535,0.00015939101,0.000010038137,0.0000057571215,0.000011742107,0.0000012478415,0.00052048004],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9987047,0.00051858946,0.000041556745,0.00007990238,0.00012503847,0.00053032674],"domain_scores_gemma":[0.99885416,0.00037345276,0.00021270367,0.000031900057,0.00008393453,0.00044391328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015217751,0.00029782098,0.00043582762,0.0020171008,0.004756811,0.0024121937,0.00078155857,0.001300935,0.0034613046],"category_scores_gemma":[0.0029759577,0.00028088287,0.0002595034,0.0017195286,0.002397676,0.001945743,0.0024399408,0.0016033823,0.00017193281],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008493896,0.00081513607,0.30967534,0.00013041032,0.000014512024,0.020572353,0.63069123,0.000072002935,0.0013982422,0.0060089612,0.00095877243,0.029578052],"study_design_scores_gemma":[0.000009485504,0.0001582343,0.28477517,0.00014846389,0.000010019254,0.0040444904,0.702535,0.00029558194,0.00024648703,0.0009166076,0.0068387305,0.000021795833],"about_ca_topic_score_codex":0.048050616,"about_ca_topic_score_gemma":0.06680067,"teacher_disagreement_score":0.048050616,"about_ca_system_score_codex":0.0031538517,"about_ca_system_score_gemma":0.002114543,"threshold_uncertainty_score":0.095541835},"labels":[],"label_agreement":null},{"id":"W3125536859","doi":"10.5430/ijfr.v1n1p14","title":"The Role of Stock Market Development in Economic Growth: Evidence from Some Euronext Countries","year":2010,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market capitalization; Stock market; Economics; Granger causality; Causality (physics); Capitalization; Stock market bubble; Monetary economics; Stock (firearms); Positive relationship; Financial economics; Econometrics","score_opus":0.0944462139345562,"score_gpt":0.323746802074482,"score_spread":0.22930058813992577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125536859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921406,0.0037477443,0.000098164914,0.0002586047,0.0000151337235,0.000006176549,0.00057324715,0.0000034723284,0.0031569828],"genre_scores_gemma":[0.9959786,0.0026509864,0.00008885405,0.000049419697,0.000021830014,0.0000034965647,0.0009440356,0.0000018802064,0.00026094797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997259,0.00007237663,0.000048503633,0.000049890154,0.00006223365,0.000041099385],"domain_scores_gemma":[0.9958133,0.0010825723,0.0021437816,0.00018241511,0.0005512204,0.00022666817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010868815,0.00021711341,0.0002314517,0.0016661953,0.00025141562,0.0010642385,0.00019611832,0.00027556272,0.0010477314],"category_scores_gemma":[0.0026028682,0.00010392852,0.00028172447,0.0025905592,0.00040357848,0.0007894968,0.00067178917,0.0003294478,0.00012848758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001971417,0.00004539862,0.9867842,0.00013929774,0.00012532798,0.00051029585,0.00051849795,0.00033780406,0.0002923477,0.00080205547,0.0005052507,0.009742362],"study_design_scores_gemma":[0.000009369246,0.000035206976,0.99653697,0.00006216495,0.00007250381,0.00014535368,0.00064598373,0.00020976392,0.0003015566,0.00009782168,0.0018783609,0.0000048506386],"about_ca_topic_score_codex":0.008262884,"about_ca_topic_score_gemma":0.011528584,"teacher_disagreement_score":0.008262884,"about_ca_system_score_codex":0.00029590237,"about_ca_system_score_gemma":0.0003057203,"threshold_uncertainty_score":0.016429543},"labels":[],"label_agreement":null},{"id":"W3125549948","doi":"10.5430/ijfr.v12n2p164","title":"Consumer Behavior in the Information Economy: Generation Z","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Generational Differences and Trends","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Kazan Federal University","keywords":"Purchasing; Product (mathematics); Consumption (sociology); Advertising; Entertainment; Business; Marketing; Service (business); Social media; Focus (optics); Infographic; Consumer behaviour; Goods and services; Computer science; World Wide Web; Economics; Sociology; Political science","score_opus":0.15810150775343654,"score_gpt":0.4559747610487569,"score_spread":0.29787325329532033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125549948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99346596,0.00023643521,0.00007354154,0.00044363365,0.000009619559,0.000010184232,0.000068963054,0.000002851564,0.005688923],"genre_scores_gemma":[0.9975961,0.00023287757,0.00007222726,0.00011853027,0.000007789289,0.000006922013,0.000068459805,0.0000018372847,0.0018953291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998116,0.00004407369,0.0000072373205,0.000024125207,0.00004362399,0.00006931551],"domain_scores_gemma":[0.9995017,0.00011491362,0.00016061177,0.000032938628,0.00008398189,0.00010576409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036197357,0.00011601731,0.0001210703,0.0006494416,0.00043018066,0.0015701379,0.00012984671,0.00037544055,0.003295746],"category_scores_gemma":[0.0009157673,0.00008038825,0.00018237444,0.0005816809,0.0004217894,0.0010346017,0.0008728323,0.0003889361,0.00031514262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002684289,0.00035347382,0.8848565,0.0000536541,0.00004980142,0.0005349533,0.028603092,0.00014906007,0.0012889062,0.0109410845,0.0029469456,0.06995399],"study_design_scores_gemma":[0.000009795445,0.00025722213,0.95860505,0.000040231247,0.00002344498,0.00039083464,0.025517615,0.0003961553,0.00024801723,0.0016010288,0.012888957,0.000021672104],"about_ca_topic_score_codex":0.0062065776,"about_ca_topic_score_gemma":0.0063395915,"teacher_disagreement_score":0.0062065776,"about_ca_system_score_codex":0.0004900484,"about_ca_system_score_gemma":0.00026835565,"threshold_uncertainty_score":0.012340903},"labels":[],"label_agreement":null},{"id":"W3125660497","doi":"10.5430/ijfr.v12n1p348","title":"Impact of Financial Intermediaries on Nigerian Economic Growth","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial intermediary; Economics; Ordinary least squares; Bank credit; Per capita; Intermediation; Financial system; Statistic; Monetary economics; Real gross domestic product; Finance; Econometrics; Statistics","score_opus":0.03278454456811571,"score_gpt":0.3483271690639489,"score_spread":0.3155426244958332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125660497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98132193,0.00069989555,0.00013095893,0.0005104212,0.000012272589,0.000011583352,0.00011958816,0.0000064671563,0.017186867],"genre_scores_gemma":[0.9990747,0.0003638643,0.00004118373,0.000014142214,0.0000067128917,0.0000025064826,0.000040982468,7.0230675e-7,0.00045523915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995084,0.00014787757,0.000040554212,0.000042654057,0.00009597502,0.00016460616],"domain_scores_gemma":[0.9967507,0.0011705783,0.0011355084,0.000100359524,0.0004267676,0.00041603876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008841214,0.00029870507,0.00021925988,0.00097244704,0.00070830353,0.0024505032,0.00013254822,0.0003051167,0.0032373017],"category_scores_gemma":[0.0029942764,0.000112756825,0.00016602929,0.0008969419,0.00065121823,0.0015706291,0.0016999196,0.0008482767,0.00029142897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000351897,0.00032925283,0.9315972,0.00018626335,0.000051850344,0.0021651904,0.0024536718,0.0032022123,0.0015373675,0.016710885,0.0010083735,0.040405847],"study_design_scores_gemma":[0.000030881725,0.00027912288,0.9513059,0.0005464838,0.00012073285,0.0009959631,0.013787311,0.009594621,0.0031550992,0.0071312934,0.013019076,0.000033528795],"about_ca_topic_score_codex":0.0039587473,"about_ca_topic_score_gemma":0.005366558,"teacher_disagreement_score":0.0039587473,"about_ca_system_score_codex":0.0010271476,"about_ca_system_score_gemma":0.00096657564,"threshold_uncertainty_score":0.010829866},"labels":[],"label_agreement":null},{"id":"W3125662612","doi":"10.5430/ijfr.v12n3p157","title":"Strategies of Sustainable Cooperative Partnerships","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Cooperative Studies and Economics","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"General partnership; Business; Loan; Democracy; Descriptive research; Sustainable development; Finance; Financial services; Economic growth; Marketing; Economics; Politics","score_opus":0.11376597060004291,"score_gpt":0.36880142746303035,"score_spread":0.25503545686298745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125662612","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0649381,0.0023115533,0.13099667,0.040300913,0.0005165375,0.0014691893,0.000078909434,0.00031482696,0.75907326],"genre_scores_gemma":[0.8884057,0.0016231303,0.034455974,0.0027270897,0.00007993892,0.0009190876,0.000081099875,0.000064843225,0.07164313],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9910013,0.0049815914,0.000254026,0.0007289015,0.0017570572,0.0012771616],"domain_scores_gemma":[0.9927209,0.0016152058,0.000933109,0.00061600265,0.0016732995,0.0024413615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009569232,0.00068087026,0.00028653126,0.0024488019,0.0080169905,0.008322127,0.0022862768,0.003467285,0.010714441],"category_scores_gemma":[0.01319463,0.00043414274,0.00061646255,0.001862229,0.009252321,0.00886103,0.020554861,0.0022570235,0.0022582426],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001275693,0.000106962514,0.0017849046,0.0001803954,0.000025892754,0.0010714174,0.021674406,0.0013688839,0.000425964,0.912891,0.013507506,0.04694991],"study_design_scores_gemma":[0.000026253207,0.000106677835,0.0008522608,0.00029337243,0.00001279451,0.0007497904,0.030975629,0.0019858433,0.00034269533,0.4414124,0.52321804,0.000024373094],"about_ca_topic_score_codex":0.0024319098,"about_ca_topic_score_gemma":0.004028724,"teacher_disagreement_score":0.010714441,"about_ca_system_score_codex":0.004858321,"about_ca_system_score_gemma":0.014953489,"threshold_uncertainty_score":0.050607502},"labels":[],"label_agreement":null},{"id":"W3125664844","doi":"10.5430/ijfr.v12n2p219","title":"The Impact of Market Timing on European Firms’ Capital Structure: RLBOs vs. IPOs","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"King Khalid University","keywords":"Initial public offering; Capital structure; Business; Market timing; Monetary economics; Debt; Robustness (evolution); Capital market; Debt ratio; Sample (material); Financial system; Finance; Economics","score_opus":0.044493720652652724,"score_gpt":0.33637163770676787,"score_spread":0.29187791705411514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125664844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973686,0.00026248253,0.00018731483,0.00007504603,0.0000040627806,0.0000045156758,0.0002086219,0.0000068206327,0.0018826069],"genre_scores_gemma":[0.9994568,0.000047851438,0.000023638913,0.0000075046723,0.000012005076,0.0000013401312,0.00023512411,0.0000021310068,0.0002135487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992341,0.00017517192,0.000058741036,0.00019672189,0.00013789702,0.00019735101],"domain_scores_gemma":[0.9805132,0.0066823014,0.010445683,0.0006491295,0.00061797764,0.0010917607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014977247,0.00020506926,0.00025437068,0.0012765153,0.00016780644,0.0017961945,0.00028200663,0.0005703945,0.0033764634],"category_scores_gemma":[0.010855257,0.00009569237,0.00030503585,0.0009850571,0.0004938499,0.0015110472,0.00085843384,0.00044660072,0.00040053643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005791968,0.0001249357,0.97575754,0.000029991344,0.00012426233,0.00041779294,0.00023124155,0.0018845634,0.0012341901,0.0017723116,0.00047160903,0.017372474],"study_design_scores_gemma":[0.000012555245,0.00014612178,0.99646986,0.000011290526,0.0000296921,0.00011932813,0.00024050227,0.0012465165,0.00053751585,0.0004154793,0.0007634528,0.000007641213],"about_ca_topic_score_codex":0.002169153,"about_ca_topic_score_gemma":0.001712908,"teacher_disagreement_score":0.0033764634,"about_ca_system_score_codex":0.0004844885,"about_ca_system_score_gemma":0.00019078315,"threshold_uncertainty_score":0.011295378},"labels":[],"label_agreement":null},{"id":"W3125667655","doi":"10.5430/ijfr.v12n2p172","title":"An Empirical Analysis of Macroeconomic and Bank-Specific Factors Affecting Bank Deposits in Vietnam","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Inflation (cosmology); Monetary economics; Economics; Chinese financial system; Market liquidity; Loan; Bank rate; Panel data; Reserve requirement; Official cash rate; Financial system; Monetary policy; Finance; Central bank; Econometrics","score_opus":0.06978584954998497,"score_gpt":0.36899156396312516,"score_spread":0.2992057144131402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125667655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989177,0.000096921314,0.00009172257,0.00007913717,0.0000021397766,0.0000035873802,0.00021073842,0.000001441098,0.00059661776],"genre_scores_gemma":[0.9992231,0.00008554879,0.00004161081,0.0000075293888,0.000002067013,0.000002013842,0.00022720973,9.3702744e-7,0.0004100494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972075,0.00009611633,0.000022820575,0.00005410314,0.00004093305,0.00006539897],"domain_scores_gemma":[0.99731356,0.0011014214,0.0007572497,0.00009305695,0.00035407534,0.00038072874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005715262,0.0001286267,0.00021997729,0.0004999468,0.00030776332,0.00069682975,0.00019370143,0.0001529975,0.0022818022],"category_scores_gemma":[0.0023146428,0.0001714883,0.00022651319,0.001083469,0.00030240347,0.00040048204,0.00037157684,0.00038166702,0.00015136143],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037274134,0.000045336124,0.99407756,0.000024635216,0.000056700865,0.00036379648,0.0005797282,0.0010964387,0.00014283758,0.00039053702,0.0002364267,0.002948749],"study_design_scores_gemma":[0.0000049757796,0.000037377187,0.9916603,0.000023534321,0.000035959143,0.00016459127,0.0022425458,0.0046223276,0.000135712,0.00015602847,0.00091187493,0.000004823367],"about_ca_topic_score_codex":0.07229839,"about_ca_topic_score_gemma":0.05553264,"teacher_disagreement_score":0.07229839,"about_ca_system_score_codex":0.00083300413,"about_ca_system_score_gemma":0.0013436396,"threshold_uncertainty_score":0.1437552},"labels":[],"label_agreement":null},{"id":"W3125794834","doi":"10.5430/ijfr.v12n3p142","title":"Current Assets Management, Remuneration, and Operating Cash Flow of UAE Construction Companies","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Remuneration; Cash flow; Cash flow forecasting; Operating cash flow; Business; Cash conversion cycle; Cash management; Current asset; Finance; Cash and cash equivalents; Financial system; Working capital; Monetary economics; Economics","score_opus":0.0438921159771944,"score_gpt":0.33430941606904796,"score_spread":0.29041730009185357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125794834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967706,0.00005372934,0.000009073158,0.000021877628,6.786035e-7,0.0000011235455,0.000035289762,7.344875e-7,0.00020041922],"genre_scores_gemma":[0.999635,0.000055135937,0.000017558907,0.0000052001888,0.0000021535966,0.0000010728044,0.00009202991,3.2841638e-7,0.00019154542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978524,0.000047098583,0.00002495773,0.000021752872,0.000053513308,0.00006753384],"domain_scores_gemma":[0.9965873,0.00058851455,0.0019671426,0.00007072888,0.00032049694,0.00046582424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050271704,0.00019348768,0.00016883104,0.0012335782,0.0003181075,0.001005605,0.00025021465,0.00032330546,0.0012771867],"category_scores_gemma":[0.0029474124,0.000117430856,0.00017327892,0.0007317405,0.00030958757,0.00059999747,0.000519518,0.00041362373,0.00022388334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006344594,0.00007862327,0.99555165,0.0000071590002,0.00001986227,0.00010023688,0.00030046856,0.00030660027,0.00022132545,0.000058222107,0.00006446302,0.0032279224],"study_design_scores_gemma":[9.741076e-7,0.000046463774,0.9987968,0.000005210238,0.000004325837,0.000045392677,0.0004928281,0.0003755366,0.000078669655,0.000019814202,0.00013016879,0.0000038019218],"about_ca_topic_score_codex":0.010348506,"about_ca_topic_score_gemma":0.013976691,"teacher_disagreement_score":0.010348506,"about_ca_system_score_codex":0.00048396093,"about_ca_system_score_gemma":0.00036422844,"threshold_uncertainty_score":0.020576537},"labels":[],"label_agreement":null},{"id":"W3126003384","doi":"10.5430/ijfr.v5n1p11","title":"Transitory Debt: Evidence from Borsa Istanbul","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Debt; Capital structure; Monetary economics; Business; Turkish economy; Debt ratio; Debt financing; Turkish; Economics; Finance","score_opus":0.0674355522390502,"score_gpt":0.33491819164227976,"score_spread":0.2674826394032296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126003384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99708337,0.0007362243,0.00004867725,0.00016365509,0.00001177336,0.000007867634,0.0005088226,0.000003515739,0.0014360381],"genre_scores_gemma":[0.99806124,0.00045055887,0.000042788495,0.00009403181,0.00001898163,0.00000855096,0.00085785356,0.000003150421,0.0004626546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990821,0.0001985809,0.00007988471,0.00022565732,0.00016448606,0.00024925376],"domain_scores_gemma":[0.9957349,0.00071081845,0.0023364343,0.00026892786,0.0005986351,0.0003504493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011121994,0.00038910686,0.0006019142,0.0016623702,0.0009501808,0.0013384924,0.000731073,0.0008844475,0.0041451827],"category_scores_gemma":[0.0021063946,0.0003435164,0.0002987851,0.0017849922,0.00086305663,0.00073005515,0.0011095227,0.00067419885,0.0011679461],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068868644,0.0004566109,0.9744407,0.00020793475,0.0001438868,0.0015321149,0.0044070445,0.00023630437,0.00078883703,0.0011487547,0.003131393,0.012817693],"study_design_scores_gemma":[0.000029379828,0.00022108312,0.9891261,0.00008537375,0.00004707176,0.00065033877,0.0053544794,0.00023541291,0.00024490582,0.00015612863,0.0038352138,0.000014605199],"about_ca_topic_score_codex":0.01752446,"about_ca_topic_score_gemma":0.018938908,"teacher_disagreement_score":0.01752446,"about_ca_system_score_codex":0.0009319112,"about_ca_system_score_gemma":0.0010451763,"threshold_uncertainty_score":0.034844875},"labels":[],"label_agreement":null},{"id":"W3126465499","doi":"10.5430/ijfr.v12n3p345","title":"Early Results on Depth of the Nascent Kenyan Derivative Market","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Derivatives market; Futures contract; Forward market; Equity (law); Business; Derivative (finance); Financial economics; Stock exchange; Market depth; Stock market; Economics; Monetary economics; Finance","score_opus":0.09174768568149555,"score_gpt":0.32925322889893704,"score_spread":0.2375055432174415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126465499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97730505,0.00082551886,0.0006222667,0.00027528228,0.000008324435,0.000044382527,0.0003676193,0.000004124102,0.02054744],"genre_scores_gemma":[0.9961047,0.00055483455,0.0007172732,0.000047105805,0.000010275532,0.000013856519,0.0001602414,0.000005137646,0.002386506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995359,0.00009308961,0.000045539873,0.000051097173,0.00019235325,0.000082054205],"domain_scores_gemma":[0.9968086,0.0016143923,0.00070256565,0.00008589813,0.0006380647,0.00015051286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011833671,0.00014384669,0.00012985537,0.00173499,0.0006495428,0.0017945273,0.00017583945,0.0002740136,0.00409836],"category_scores_gemma":[0.005044629,0.00012607517,0.00013358779,0.001570745,0.0009259189,0.0030056217,0.000807895,0.0003841029,0.0002372667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015419747,0.00023215865,0.54702026,0.0017464758,0.00009629312,0.0032046952,0.13638107,0.0016358806,0.038929876,0.045644026,0.0033132,0.22025411],"study_design_scores_gemma":[0.000012640737,0.0003687906,0.8228393,0.00049234676,0.000055047436,0.0010713914,0.09703968,0.0020400505,0.009194534,0.0045735333,0.06223986,0.00007282689],"about_ca_topic_score_codex":0.0059231236,"about_ca_topic_score_gemma":0.0131082935,"teacher_disagreement_score":0.0059231236,"about_ca_system_score_codex":0.0014682092,"about_ca_system_score_gemma":0.00068709865,"threshold_uncertainty_score":0.01371038},"labels":[],"label_agreement":null},{"id":"W3126819316","doi":"10.5430/ijfr.v12n3p300","title":"Trend Momentum II: Driving Forces of Low Volatility and Momentum","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hurst exponent; Volatility (finance); Econometrics; Economics; Momentum (technical analysis); Statistical physics; Fractional Brownian motion; Detrended fluctuation analysis; Gaussian; Mandelbrot set; Mathematics; Financial economics; Physics; Fractal; Brownian motion; Statistics; Mathematical analysis","score_opus":0.05300276300926927,"score_gpt":0.31686985473970003,"score_spread":0.26386709173043077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126819316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8470386,0.0010381057,0.11432828,0.008005639,0.00027610167,0.000081383805,0.00025079766,0.00030898413,0.028672071],"genre_scores_gemma":[0.9948736,0.0002077643,0.0033491224,0.00016462695,0.0001210078,0.00001530856,0.00004752143,0.00003393995,0.0011872136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959475,0.000039788814,0.00003400618,0.00012675794,0.00012428746,0.000080414866],"domain_scores_gemma":[0.99676967,0.001349188,0.0010711959,0.00034238686,0.0003024373,0.00016519242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010775339,0.00032434062,0.00048345764,0.00074277894,0.00046106384,0.0021878185,0.0007367448,0.0012718751,0.00403612],"category_scores_gemma":[0.008016607,0.00025290306,0.00050915213,0.0008015239,0.0017961389,0.0028690365,0.0008096286,0.001464951,0.0003158215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031491095,0.000112583366,0.1208802,0.00022822878,0.00014666242,0.0019995654,0.0012679866,0.01348992,0.013918706,0.7675477,0.0043909173,0.075702704],"study_design_scores_gemma":[0.0000823291,0.0003237552,0.124020055,0.00011686447,0.00013169559,0.0018233719,0.001132927,0.13004771,0.010516197,0.719391,0.012284303,0.00012982161],"about_ca_topic_score_codex":0.0012063195,"about_ca_topic_score_gemma":0.00062747864,"teacher_disagreement_score":0.00403612,"about_ca_system_score_codex":0.00062926544,"about_ca_system_score_gemma":0.0005886076,"threshold_uncertainty_score":0.013502181},"labels":[],"label_agreement":null},{"id":"W3126824558","doi":"10.5430/ijfr.v12n3p320","title":"The Concurrent Effects of IFRS Mandate and Formal Institutional Quality on the Aftermarket Performance of IPO Firms in Emerging Countries","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mandate; Initial public offering; Business; Accounting; Quality (philosophy); Institutional investor; Finance; Corporate governance; Political science","score_opus":0.03547957231294569,"score_gpt":0.33286501063212987,"score_spread":0.2973854383191842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126824558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99746025,0.00021590923,0.00017283845,0.00017474477,0.000006231783,0.000009081322,0.00018411405,0.0000030764509,0.0017737426],"genre_scores_gemma":[0.99947876,0.00007330956,0.000055114862,0.000017506474,0.00000816643,0.000002246424,0.00016055876,0.0000010757058,0.0002032795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819154,0.00051659625,0.00025099123,0.0002496672,0.00041113418,0.0003801503],"domain_scores_gemma":[0.9433209,0.014165987,0.03330869,0.002201311,0.004813046,0.0021900854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036506134,0.00018932275,0.00026168386,0.00087857933,0.00035333366,0.0018781985,0.00034749435,0.00037762584,0.001953546],"category_scores_gemma":[0.01568226,0.000105304585,0.00035126662,0.0012220757,0.0009017762,0.000918173,0.0013053425,0.00072286907,0.00019852199],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076372395,0.000061481405,0.99257267,0.00002622834,0.000064106134,0.00007705858,0.00042880073,0.00039630115,0.00017352655,0.0007432628,0.00013940924,0.0052407756],"study_design_scores_gemma":[0.0000035960647,0.000077900775,0.9974445,0.000020312411,0.000031121956,0.000024374938,0.0009903087,0.0004151787,0.0002573109,0.00015292694,0.00057695364,0.000005544077],"about_ca_topic_score_codex":0.019813133,"about_ca_topic_score_gemma":0.020678762,"teacher_disagreement_score":0.019813133,"about_ca_system_score_codex":0.0010751985,"about_ca_system_score_gemma":0.0010403973,"threshold_uncertainty_score":0.03939557},"labels":[],"label_agreement":null},{"id":"W3126998454","doi":"10.5430/ijfr.v12n3p271","title":"Relationship Between Unemployment Rate and Shadow Economy in Nigeria: A Tado-Yamamoto Approach","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Shadow (psychology); Economy; Granger causality; Causality (physics); Unemployment rate; Gross domestic product; Macroeconomics; Econometrics; Psychology","score_opus":0.1829176786634779,"score_gpt":0.36310803769036376,"score_spread":0.18019035902688585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126998454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973149,0.0003593524,0.0006826435,0.00009277237,0.000012099977,0.000014167678,0.000090352325,0.000001420787,0.0014322445],"genre_scores_gemma":[0.99901223,0.00024315465,0.00028925517,0.000009881979,0.0000066626753,0.000010013848,0.0000859584,6.756901e-7,0.00034212394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995096,0.00016217669,0.000057726913,0.00010587694,0.00006434304,0.000100386256],"domain_scores_gemma":[0.99861526,0.00065539416,0.0003532893,0.000051568983,0.00015061435,0.00017387114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088284863,0.00025974747,0.00043374664,0.0019735703,0.0006816965,0.0010557746,0.00023504616,0.00038181516,0.001651666],"category_scores_gemma":[0.0022047458,0.0002285653,0.00081921165,0.0013018511,0.0004656115,0.0006794637,0.0009991617,0.000525372,0.00014998992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064472,0.000038198614,0.9938006,0.000022057753,0.000054017302,0.00028494818,0.00062096125,0.0005768873,0.00017894003,0.0007639745,0.000049425704,0.0035455327],"study_design_scores_gemma":[0.000008968794,0.0002393409,0.97323936,0.0001115904,0.00017031448,0.00056022813,0.009996743,0.012457407,0.00023966409,0.0013052233,0.0016456619,0.000025470576],"about_ca_topic_score_codex":0.01728184,"about_ca_topic_score_gemma":0.019788012,"teacher_disagreement_score":0.01728184,"about_ca_system_score_codex":0.000580956,"about_ca_system_score_gemma":0.0009373624,"threshold_uncertainty_score":0.034362495},"labels":[],"label_agreement":null},{"id":"W3127270216","doi":"10.5430/ijfr.v12n1p369","title":"Financial Resources Management in Commercial Banks: Evidence From Latvia","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Latvian; Business; Finance; Market liquidity; Equity (law); Profitability index; Economics","score_opus":0.12569898494751722,"score_gpt":0.355451200878717,"score_spread":0.2297522159311998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127270216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042964,0.0041607907,0.00007385834,0.00047053766,0.000007682209,0.000014254018,0.0005036598,0.000003534812,0.00433616],"genre_scores_gemma":[0.995666,0.0031707336,0.00007877875,0.00014130995,0.000009612741,0.000013034101,0.00047832698,0.000002213384,0.00043991732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918014,0.0002757207,0.00014694713,0.00010303527,0.00017103288,0.0001230462],"domain_scores_gemma":[0.99092054,0.004106648,0.003117555,0.00023558845,0.0013374122,0.00028222665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010233184,0.00024200707,0.00034235168,0.0023545588,0.00070085836,0.0013372214,0.0003814135,0.00071385625,0.0030106856],"category_scores_gemma":[0.0044762436,0.00025667658,0.00021892441,0.004056882,0.0012172521,0.0006965545,0.0008325173,0.0003762494,0.00035409458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067004684,0.00025631257,0.9219066,0.0021748352,0.0002287741,0.0036008675,0.015593563,0.0004786559,0.0010275065,0.0017484477,0.0020428358,0.05027159],"study_design_scores_gemma":[0.000020407646,0.00012345228,0.98320526,0.0006100125,0.000084804546,0.0005859913,0.009854674,0.00019384667,0.00020980142,0.00012587011,0.004972838,0.000012933006],"about_ca_topic_score_codex":0.022015806,"about_ca_topic_score_gemma":0.062944464,"teacher_disagreement_score":0.022015806,"about_ca_system_score_codex":0.00126742,"about_ca_system_score_gemma":0.0015609427,"threshold_uncertainty_score":0.04377532},"labels":[],"label_agreement":null},{"id":"W3127363808","doi":"10.5430/ijfr.v12n2p376","title":"Curbing Unemployment Through Job Creation as Panacea to Inclusive Growth in Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Gross domestic product; Distributed lag; Agriculture; Economics; Panacea (medicine); Secondary sector of the economy; Product (mathematics); Real gross domestic product; Labour economics; Inclusive growth; Per capita; Business; Poverty; Economic growth; Macroeconomics; Economy; Econometrics","score_opus":0.07065360117240925,"score_gpt":0.36502141830039203,"score_spread":0.29436781712798277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127363808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766962,0.003504919,0.0010877382,0.0020267528,0.00009341036,0.00004582692,0.0000900347,0.00000996976,0.01644525],"genre_scores_gemma":[0.9959804,0.00149634,0.00043061833,0.0000884965,0.000015183083,0.000017331226,0.000026812528,0.0000020602579,0.0019426054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996561,0.00010134246,0.00001608663,0.00002069318,0.000039851788,0.00016594323],"domain_scores_gemma":[0.9994856,0.00009563807,0.00015059114,0.000011738507,0.000072303985,0.00018407682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006249609,0.00019198682,0.00024604393,0.00053533487,0.001231885,0.0017776478,0.00022079784,0.00044270838,0.00208931],"category_scores_gemma":[0.0009063869,0.00012494087,0.00018096785,0.00039086686,0.0003786738,0.0006950781,0.0012071029,0.0006076359,0.00019150124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009956142,0.0015153732,0.6495348,0.0024333035,0.00009969685,0.0035257551,0.0178739,0.008978157,0.007725758,0.035037465,0.0055582216,0.26672196],"study_design_scores_gemma":[0.00006855443,0.001430543,0.86591554,0.003458743,0.00014315073,0.0008627102,0.058743957,0.015438798,0.0036425209,0.01179486,0.03843487,0.000065711094],"about_ca_topic_score_codex":0.0047507742,"about_ca_topic_score_gemma":0.018319117,"teacher_disagreement_score":0.0047507742,"about_ca_system_score_codex":0.0007514019,"about_ca_system_score_gemma":0.0023427901,"threshold_uncertainty_score":0.009446263},"labels":[],"label_agreement":null},{"id":"W3127502246","doi":"10.5430/ijfr.v10n4p108","title":"Effect of Weather on Cryptocurrency Index: Evidences From Coinbase Index","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Granger causality; Econometrics; Economics; Cryptocurrency; Statistics; Descriptive statistics; Sample (material); Statistical hypothesis testing; Mathematics; Computer science","score_opus":0.04181135435839302,"score_gpt":0.35586721455168024,"score_spread":0.31405586019328724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127502246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99686974,0.00035269128,0.0002682374,0.00012804843,0.000016637103,0.000003972811,0.00020437081,0.000005280797,0.0021510513],"genre_scores_gemma":[0.9991943,0.00021795784,0.00007576348,0.000014688441,0.000025672687,0.0000016853677,0.00020226013,0.0000024676363,0.00026510027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968505,0.000059063645,0.00003764963,0.00007966907,0.00009241535,0.00004618114],"domain_scores_gemma":[0.9960257,0.0013841448,0.0016423682,0.00022720697,0.0004747722,0.00024573418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004386841,0.000174797,0.00019282743,0.00064440403,0.00017200792,0.0006788597,0.0001201091,0.00026028173,0.0015921943],"category_scores_gemma":[0.0037013926,0.00008252517,0.00022790811,0.0007580193,0.00028328015,0.00064569537,0.00024296978,0.00042368638,0.00023930802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002873154,0.00008409271,0.983727,0.000053361207,0.00014035389,0.0005595314,0.0003081421,0.0004916195,0.0027830862,0.0007318762,0.00054612773,0.010287546],"study_design_scores_gemma":[0.000006094118,0.000089664776,0.9961487,0.0000098899745,0.00005560165,0.00012112534,0.00032778503,0.0010801814,0.0010545027,0.00031593503,0.0007819877,0.000008568305],"about_ca_topic_score_codex":0.001929528,"about_ca_topic_score_gemma":0.0025187081,"teacher_disagreement_score":0.001929528,"about_ca_system_score_codex":0.00015598147,"about_ca_system_score_gemma":0.00014742797,"threshold_uncertainty_score":0.0053263903},"labels":[],"label_agreement":null},{"id":"W3128156064","doi":"10.5430/ijfr.v12n3p261","title":"Financial Inclusion in Zimbabwe: Determinants, Challenges, and Opportunities","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Financial literacy; Financial services; Unbanked; Finance; Business; Economics; Economic growth; Financial system","score_opus":0.21856405971474022,"score_gpt":0.36685067354611445,"score_spread":0.14828661383137423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128156064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774579,0.0049820496,0.00022984904,0.01114358,0.000039144772,0.00006234746,0.00034468484,0.0000054574025,0.0057349848],"genre_scores_gemma":[0.99654573,0.0023972502,0.0001002987,0.00020826898,0.000019073734,0.000020632084,0.00007712201,0.0000011678953,0.0006304672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988951,0.00023100548,0.000055245295,0.000048663635,0.00014768243,0.00062240113],"domain_scores_gemma":[0.99840695,0.00041060333,0.0006416541,0.000035867277,0.00019916413,0.0003058792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092138356,0.00028913247,0.00025538233,0.0017040953,0.0021028726,0.0025612826,0.00039596413,0.00042219483,0.0034030264],"category_scores_gemma":[0.0037048883,0.0002444735,0.00029689338,0.0028910611,0.0010927025,0.0020275058,0.0021674216,0.0008760276,0.00016006158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049701997,0.000097216434,0.906539,0.00040110672,0.000064418244,0.0016375496,0.018770065,0.00021949866,0.0004793601,0.007834774,0.0022406592,0.061666556],"study_design_scores_gemma":[0.0000058746523,0.00005160495,0.9496386,0.00079174846,0.000040761955,0.000306757,0.033565246,0.0005727899,0.000111853675,0.0018633376,0.013032362,0.000018982644],"about_ca_topic_score_codex":0.09930165,"about_ca_topic_score_gemma":0.13694257,"teacher_disagreement_score":0.09930165,"about_ca_system_score_codex":0.0027118912,"about_ca_system_score_gemma":0.0033593632,"threshold_uncertainty_score":0.1974473},"labels":[],"label_agreement":null},{"id":"W3128507187","doi":"10.5430/ijfr.v12n3p284","title":"Political Instability and Banks Performance in the Light of Arab Spring: Evidence From GCC Region","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Islam; Panel data; Sample (material); Politics; Political instability; Empirical evidence; Economics; Empirical research; Spring (device); Bivariate analysis; Financial system; Business; Monetary economics; Economy; Finance; Political science; Econometrics; Geography; Engineering","score_opus":0.07597347468068298,"score_gpt":0.34087972036784775,"score_spread":0.26490624568716475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128507187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973615,0.00044061744,0.00003103046,0.0002223985,0.000008648213,0.0000033590009,0.00014998205,0.0000012203307,0.0017812388],"genre_scores_gemma":[0.9990313,0.00043874717,0.000024970608,0.000051510433,0.000014999843,0.0000024560077,0.00016910314,9.1368656e-7,0.0002659174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999647,0.00011459193,0.000032507367,0.00004668489,0.00007077344,0.00008841139],"domain_scores_gemma":[0.99727076,0.0006430836,0.0013686687,0.000094474075,0.0003590037,0.00026388964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061905966,0.00022301286,0.00017526229,0.0010461106,0.0005654508,0.0011009265,0.00015861428,0.0003613223,0.0023269919],"category_scores_gemma":[0.0019464114,0.000108983964,0.00020105632,0.0015494063,0.0006857478,0.00045174666,0.0005803113,0.00048571642,0.00031122944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056078716,0.000037341197,0.9899829,0.000056045996,0.00004452416,0.00031375143,0.0026140318,0.0001032528,0.00015421964,0.00030897348,0.00053342874,0.0057954467],"study_design_scores_gemma":[0.0000017612333,0.000027060129,0.99011505,0.00006426673,0.000023335366,0.00009288353,0.008260681,0.000099768054,0.000067909175,0.000068907444,0.0011737195,0.000004712698],"about_ca_topic_score_codex":0.01870489,"about_ca_topic_score_gemma":0.029930577,"teacher_disagreement_score":0.01870489,"about_ca_system_score_codex":0.00040458908,"about_ca_system_score_gemma":0.0005650303,"threshold_uncertainty_score":0.037192047},"labels":[],"label_agreement":null},{"id":"W3129360900","doi":"10.5430/ijfr.v12n2p389","title":"The Impact of Trade Openness and Foreign Direct Investment on Economic Welfare in sub-Saharan Africa","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Openness to experience; Foreign direct investment; International economics; Economics; Productivity; Welfare; Economic integration; Foreign capital; Trade barrier; International trade; Development economics; Economic growth; Macroeconomics; Market economy","score_opus":0.08466437547121655,"score_gpt":0.3404935873936381,"score_spread":0.2558292119224216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129360900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99427915,0.0009489969,0.00019081008,0.0005135432,0.00000886213,0.00000505942,0.00022410056,0.0000028995398,0.0038265646],"genre_scores_gemma":[0.99919754,0.000488946,0.000045744233,0.000016657988,0.0000059715885,0.0000030085623,0.00007535664,0.0000010364979,0.00016562811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993761,0.0002481555,0.000035659614,0.000039476035,0.000074072654,0.00022653978],"domain_scores_gemma":[0.9979748,0.0006595187,0.00085034705,0.00005901526,0.00025341185,0.00020281515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089250715,0.00017280767,0.00021985944,0.0009969382,0.0003202885,0.0013261662,0.00011314512,0.00016860387,0.0011824995],"category_scores_gemma":[0.0037829408,0.00007010663,0.00040642373,0.0018131973,0.00060545997,0.00086779706,0.0011866066,0.0004923651,0.000094882584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017788212,0.00006393736,0.95998025,0.00011218049,0.0002853045,0.0012796733,0.001526006,0.0041253674,0.0005907405,0.006206816,0.0005721947,0.025079591],"study_design_scores_gemma":[0.000003911907,0.000050245242,0.9896165,0.000079074154,0.00008518392,0.00016952933,0.003994764,0.0014092828,0.00029861715,0.001649573,0.002636006,0.0000074400664],"about_ca_topic_score_codex":0.0058448436,"about_ca_topic_score_gemma":0.007112247,"teacher_disagreement_score":0.0058448436,"about_ca_system_score_codex":0.00083038444,"about_ca_system_score_gemma":0.0007649448,"threshold_uncertainty_score":0.011621594},"labels":[],"label_agreement":null},{"id":"W3129659313","doi":"10.5430/ijfr.v12n3p381","title":"The Causality Relationship Between Financial Sector Profitability and the Botswana Economy","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recession; Economics; Granger causality; Context (archaeology); Boom; Causality (physics); Index (typography); Economic sector; Business cycle; Economy; Profitability index; Financial market; Financial sector; Macroeconomics; Finance; Econometrics","score_opus":0.11004558229497556,"score_gpt":0.35559064944912894,"score_spread":0.24554506715415336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129659313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928767,0.00064245873,0.00015974509,0.0010310422,0.000012778067,0.00000580796,0.00015486055,0.0000034564355,0.005113128],"genre_scores_gemma":[0.9990606,0.000327985,0.00006304265,0.000046794303,0.0000031811321,0.0000019839658,0.000048527552,7.088041e-7,0.00044720623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997999,0.000042111827,0.00001417885,0.000033451845,0.000024287672,0.000086104235],"domain_scores_gemma":[0.9981501,0.000853964,0.00061855523,0.00004275331,0.00021689427,0.000117768155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044777404,0.00012976897,0.00013039114,0.0009955576,0.00042775762,0.0017531151,0.00018331956,0.00028412545,0.002532236],"category_scores_gemma":[0.0023464274,0.00014523623,0.00019021753,0.0013015994,0.00061596686,0.0006350357,0.0004870514,0.0006176455,0.00016309727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049116778,0.000026811404,0.98164696,0.00006639089,0.00005420052,0.00096073904,0.00061520876,0.0006785692,0.0009968769,0.004848401,0.00034880184,0.00970784],"study_design_scores_gemma":[0.0000065292534,0.0000372106,0.9874176,0.00016871025,0.000054173026,0.0003194766,0.004021331,0.002050684,0.0004885943,0.0024713173,0.0029535836,0.000010825248],"about_ca_topic_score_codex":0.047259405,"about_ca_topic_score_gemma":0.06482881,"teacher_disagreement_score":0.047259405,"about_ca_system_score_codex":0.0020656176,"about_ca_system_score_gemma":0.002057959,"threshold_uncertainty_score":0.09396863},"labels":[],"label_agreement":null},{"id":"W3130192530","doi":"10.5430/ijfr.v12n2p401","title":"The Early Impact of Government Financial Intervention Policies and Cultural Secrecy on Stock Market Returns During the COVID-19 Pandemic: Evidence From Developing Countries","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emerging markets; Equity (law); Stock market; Business; Financial market; Developing country; Equity capital markets; Economic interventionism; Monetary economics; Economics; Financial system; Finance; Private equity; Economic growth","score_opus":0.15758315956929073,"score_gpt":0.42005434597921043,"score_spread":0.26247118640991973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130192530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99719197,0.0003320573,0.000061627914,0.0002655845,0.0000062614017,0.00000578201,0.00032984608,0.0000013282335,0.0018056028],"genre_scores_gemma":[0.9993716,0.0002433029,0.000023821829,0.00004250221,0.000008149584,0.0000016453811,0.0001895329,7.5343826e-7,0.000118735115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99946064,0.00017836604,0.000057050165,0.000058380574,0.000083869905,0.00016165762],"domain_scores_gemma":[0.98941386,0.002613313,0.0063845534,0.00043433555,0.0006110929,0.0005427491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013954205,0.00017196478,0.00015899011,0.00056154217,0.0002696606,0.00095853605,0.00018947084,0.0003885514,0.0015639084],"category_scores_gemma":[0.008669741,0.00011510842,0.00028479533,0.0008569979,0.00062595133,0.0007095429,0.0008092167,0.0007512587,0.00019856762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096461255,0.000043405413,0.9939448,0.000025165149,0.00005427721,0.000120609584,0.0005522702,0.00018203499,0.000101984595,0.0002276247,0.0002527113,0.00439864],"study_design_scores_gemma":[0.0000037729812,0.000065087566,0.99730206,0.000032042248,0.000029401403,0.000059287828,0.0013618077,0.00022416236,0.00018907026,0.00007657744,0.0006508878,0.0000057465186],"about_ca_topic_score_codex":0.012958951,"about_ca_topic_score_gemma":0.014684773,"teacher_disagreement_score":0.012958951,"about_ca_system_score_codex":0.0003402003,"about_ca_system_score_gemma":0.00046157464,"threshold_uncertainty_score":0.025767028},"labels":[],"label_agreement":null},{"id":"W3130621533","doi":"10.5430/ijfr.v12n3p370","title":"Does Financial Inclusion Important in MSMEs Financing in Indonesia? Analysis Using Dimension Bank as Mediation","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Access to finance; Small and medium-sized enterprises; Finance; Business; Entrepreneurship; Inclusion (mineral); Mediation; Financial system; Population; Capital (architecture); Financial services","score_opus":0.036596085934385646,"score_gpt":0.3975989139825687,"score_spread":0.36100282804818307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130621533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837103,0.00052835565,0.00074620993,0.0022210022,0.00006336584,0.000116439405,0.00031195645,0.000013528136,0.0122888265],"genre_scores_gemma":[0.9983069,0.00018363998,0.0002953113,0.00010568814,0.000017324543,0.00009358487,0.00008724376,0.0000035528008,0.00090677064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994158,0.0033223734,0.00031982092,0.00056515017,0.00057034317,0.001064292],"domain_scores_gemma":[0.9829289,0.011917656,0.0024821963,0.0005711549,0.0008319369,0.0012681313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039688605,0.0005442452,0.00090075814,0.0018887582,0.0018918271,0.004742478,0.0011222066,0.0009327128,0.013535676],"category_scores_gemma":[0.015258792,0.00028383598,0.0010405335,0.0022249012,0.0014895564,0.0025895848,0.003532672,0.0019192063,0.0004937963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026726243,0.00072337035,0.9481148,0.00019615663,0.0005228509,0.0015266498,0.012264702,0.00039393755,0.00014528865,0.013009682,0.0015556101,0.021279655],"study_design_scores_gemma":[0.0001461396,0.00048650993,0.85969007,0.0009070386,0.0013444952,0.0009564106,0.0996517,0.011912756,0.0006082754,0.0138548985,0.010366542,0.00007505051],"about_ca_topic_score_codex":0.015493556,"about_ca_topic_score_gemma":0.008228459,"teacher_disagreement_score":0.015493556,"about_ca_system_score_codex":0.0021008803,"about_ca_system_score_gemma":0.0045005223,"threshold_uncertainty_score":0.04528135},"labels":[],"label_agreement":null},{"id":"W3132369122","doi":"10.5430/ijfr.v12n3p393","title":"The Effect of Using Accounting Measurement Bases (Cash and Accrual) on the Performance of the Industrial Companies Listed on Palestine Stock Exchange","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accrual; Working capital; Return on assets; Operating cash flow; Business; Cash flow; Cash conversion cycle; Stock exchange; Cash flow statement; Profit margin; Cash flow forecasting; Accounting; Cash; Econometrics; Finance; Economics","score_opus":0.11359289938144038,"score_gpt":0.32203331525011775,"score_spread":0.20844041586867737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132369122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762565,0.00022939708,0.000062107225,0.00016515305,0.000010316692,0.0000048588463,0.000096923985,0.0000032215166,0.0018022935],"genre_scores_gemma":[0.99920505,0.0001298507,0.00007955218,0.000017226646,0.000010763291,0.0000025516974,0.0001296391,0.00000103647,0.00042435457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979019,0.00089492765,0.000198816,0.00018090979,0.00054358476,0.00027980597],"domain_scores_gemma":[0.9881913,0.0038661195,0.005171067,0.0006996884,0.0013454551,0.0007264397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004297696,0.0004352991,0.0002237805,0.0013803436,0.00043965093,0.0023431713,0.00037277446,0.00039246565,0.0013944223],"category_scores_gemma":[0.014406473,0.00016752968,0.00032979256,0.0016156781,0.000455097,0.0011249129,0.000949783,0.00072260015,0.00033350475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059006357,0.00007319785,0.9924964,0.000011588941,0.000043559543,0.000042444426,0.00020249604,0.0002701481,0.0000909338,0.00011459,0.00011419966,0.0064814435],"study_design_scores_gemma":[0.000004319254,0.00018143452,0.99623126,0.000040433122,0.000037965947,0.000052775784,0.0011325186,0.0011193153,0.00030807618,0.00011607689,0.0007680014,0.0000078421535],"about_ca_topic_score_codex":0.010847268,"about_ca_topic_score_gemma":0.014722795,"teacher_disagreement_score":0.010847268,"about_ca_system_score_codex":0.0008568236,"about_ca_system_score_gemma":0.0011181431,"threshold_uncertainty_score":0.022728622},"labels":[],"label_agreement":null},{"id":"W3132706333","doi":"10.5430/ijfr.v12n3p356","title":"Does Demand Uncertainty Moderate the Relationship of Risk Attitude and Sticky Cost? Evidence From Egypt","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Moderation; Proxy (statistics); Sample (material); Corporate governance; Risk aversion (psychology); Ordinary least squares; Variable (mathematics); Business; Economics; Econometrics; Financial economics; Finance; Expected utility hypothesis; Statistics","score_opus":0.09863752995765888,"score_gpt":0.3570193701040909,"score_spread":0.258381840146432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132706333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99777514,0.00055222993,0.000058105412,0.00030570166,0.0000030581243,0.000003186853,0.00008321153,0.000001038481,0.001218345],"genre_scores_gemma":[0.9991178,0.0003913457,0.00003572943,0.00007123864,0.000005057898,0.000001728991,0.000089798756,0.0000012738183,0.00028614132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945146,0.00017281622,0.000051212566,0.00008778521,0.00013027324,0.00010651246],"domain_scores_gemma":[0.99124104,0.0036739525,0.0035802752,0.00042524503,0.00057850394,0.0005009398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012759531,0.00023542611,0.00033636834,0.0006522649,0.00041547837,0.0013874883,0.00041893762,0.00059406506,0.0042895395],"category_scores_gemma":[0.005036252,0.00023419586,0.00053912704,0.0009573528,0.0005104625,0.00063372304,0.000691615,0.00068834756,0.00032898612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038262262,0.00026405932,0.9855686,0.00010463922,0.0002254898,0.00032245353,0.0017900296,0.00019285601,0.00026085405,0.00059283996,0.00044458287,0.0098509295],"study_design_scores_gemma":[0.000017848253,0.00009086273,0.99470633,0.00006556491,0.00010583069,0.000065602384,0.0030844845,0.00035485948,0.00014351867,0.0002825106,0.001072207,0.00001050857],"about_ca_topic_score_codex":0.019985398,"about_ca_topic_score_gemma":0.018937623,"teacher_disagreement_score":0.019985398,"about_ca_system_score_codex":0.0006950596,"about_ca_system_score_gemma":0.000775483,"threshold_uncertainty_score":0.03973818},"labels":[],"label_agreement":null},{"id":"W3134054699","doi":"10.5430/ijfr.v12n3p407","title":"The Roles of the Government Internal Control System to Minimize Corruption Through the Fraud Star","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Indonesian Legal and Regulatory Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Rationalization (economics); Language change; Government (linguistics); Supreme court; Business; Law and economics; Political science; Law; Economics","score_opus":0.0328413186552158,"score_gpt":0.3642574194833746,"score_spread":0.3314161008281588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134054699","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4162392,0.0022810001,0.042585026,0.024658205,0.00034757837,0.00034512318,0.000097980555,0.00019147253,0.51325446],"genre_scores_gemma":[0.99265385,0.00017760228,0.0016979971,0.00046040126,0.000037278653,0.00003783445,0.0000074381887,0.000012646825,0.004914962],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99610364,0.0017878767,0.00015998835,0.00038278982,0.0008173069,0.00074839045],"domain_scores_gemma":[0.9932268,0.0017900848,0.0015902572,0.0009525782,0.001607291,0.00083291857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005814623,0.0003196144,0.00023688514,0.001725396,0.0018043794,0.007403778,0.0007457361,0.0013984565,0.004353548],"category_scores_gemma":[0.00898385,0.0002441462,0.0004426938,0.0006274338,0.0062570455,0.0028620455,0.002244338,0.0020697895,0.0004884264],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009432841,0.00023123084,0.023356475,0.0001192142,0.00007581243,0.00024437197,0.0029329655,0.002602424,0.0020760188,0.90678525,0.004712397,0.056769412],"study_design_scores_gemma":[0.00019392556,0.00057794194,0.10450136,0.0011672578,0.00035971403,0.0007229199,0.008266341,0.048070222,0.012568718,0.6716779,0.15170863,0.00018510877],"about_ca_topic_score_codex":0.004761301,"about_ca_topic_score_gemma":0.0035505872,"teacher_disagreement_score":0.007403778,"about_ca_system_score_codex":0.004347601,"about_ca_system_score_gemma":0.007271178,"threshold_uncertainty_score":0.031544268},"labels":[],"label_agreement":null},{"id":"W3134239527","doi":"10.5430/ijfr.v12n3p421","title":"The Impact of Social Enterprises: A Bibliometric Analysis From 1991 to 2020","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Centrality; Citation; Sustainability; Work (physics); Thematic analysis; Regional science; Social network analysis; Sociology; Political science; Social science; Computer science; Engineering; Library science; Qualitative research; Social capital","score_opus":0.05140795963950403,"score_gpt":0.40396762445744916,"score_spread":0.35255966481794515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134239527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7706988,0.049684912,0.0035294176,0.005311579,0.00048065692,0.00057693466,0.103494324,0.00048087927,0.065742485],"genre_scores_gemma":[0.93882227,0.018396992,0.0029202611,0.00018350066,0.0004146945,0.00033642128,0.03608003,0.00007065593,0.0027752074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908661,0.0012529787,0.001516933,0.00057821703,0.005309404,0.00047635715],"domain_scores_gemma":[0.9786543,0.007984797,0.0053602383,0.00079909444,0.006646793,0.0005547801],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005825886,0.0005718496,0.000959208,0.08941656,0.0009894237,0.0049213264,0.00076467195,0.0007568031,0.0026631774],"category_scores_gemma":[0.023385327,0.00023334088,0.0014987692,0.120748185,0.0006923256,0.0039047808,0.0021898597,0.0006252775,0.0012589811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028573928,0.0001929765,0.67402947,0.0076244283,0.001062272,0.00089088833,0.004431878,0.0037159452,0.0009030323,0.00810987,0.02387131,0.27488226],"study_design_scores_gemma":[0.000014393819,0.00014010814,0.8902183,0.001613324,0.00048831315,0.0011242947,0.0073110475,0.003907049,0.0011067207,0.0023527436,0.09164344,0.000080293765],"about_ca_topic_score_codex":0.010685372,"about_ca_topic_score_gemma":0.0086498475,"teacher_disagreement_score":0.91058344,"about_ca_system_score_codex":0.003164357,"about_ca_system_score_gemma":0.0035681687,"threshold_uncertainty_score":0.030810654},"labels":[],"label_agreement":null},{"id":"W3136387606","doi":"10.5430/ijfr.v12n4p33","title":"Investor Sentiment by Money Flow Index and Stock Return","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Stock exchange; Economics; Financial economics; Stock market; Market liquidity; Stock market index; Stock (firearms); Regression analysis; Business; Monetary economics; Statistics; Finance; Mathematics","score_opus":0.06519824536824445,"score_gpt":0.3165161579442786,"score_spread":0.2513179125760342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136387606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723536,0.0001278785,0.00020453938,0.0000707738,0.000008771791,0.000006458051,0.0002890148,0.0000063781636,0.0020508314],"genre_scores_gemma":[0.9990221,0.00007864509,0.0000912125,0.0000079076735,0.000013108478,0.00000401554,0.00027846842,0.0000010501668,0.0005035211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997296,0.000073145675,0.000025868354,0.000046324745,0.00007680777,0.000048326052],"domain_scores_gemma":[0.99830186,0.0005318751,0.0008235475,0.00004685684,0.00013577264,0.00016005922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055808964,0.00027106283,0.00017952557,0.0008070036,0.00010848017,0.00057112816,0.00009944902,0.00021886826,0.002201442],"category_scores_gemma":[0.0033700094,0.00007042834,0.00039326167,0.0006852598,0.00016718119,0.00048900663,0.0002171277,0.00034487655,0.00032237472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056278288,0.000040495936,0.99529463,0.000009364074,0.0000525976,0.00006434972,0.000043910655,0.0002905448,0.00033219034,0.00016097857,0.00021266425,0.0034420905],"study_design_scores_gemma":[0.0000023478094,0.00006174206,0.9967236,0.000007857463,0.0000344625,0.000057951755,0.000083726576,0.0023858594,0.00025833817,0.00015007134,0.00022963487,0.0000043869964],"about_ca_topic_score_codex":0.0027664038,"about_ca_topic_score_gemma":0.0023517767,"teacher_disagreement_score":0.0027664038,"about_ca_system_score_codex":0.00025894388,"about_ca_system_score_gemma":0.00017840446,"threshold_uncertainty_score":0.007364571},"labels":[],"label_agreement":null},{"id":"W3137068818","doi":"10.5430/ijfr.v12n4p43","title":"Early Adopters to Early Majority - What's Driving the Artificial Intelligence and Machine Learning Powered Transformation in Financial Services?","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial services; Digital transformation; Early adopter; Portfolio; Business; Artificial intelligence; Marketing; Knowledge management; Economics; Computer science; Finance","score_opus":0.07404057079872806,"score_gpt":0.3666434101322759,"score_spread":0.29260283933354786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137068818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540205,0.0012756765,0.0020810096,0.021951782,0.0000691089,0.000033987944,0.00008636364,0.000034974088,0.020446613],"genre_scores_gemma":[0.99558085,0.0006986954,0.00042856447,0.0009607558,0.000027984277,0.000014777621,0.00003110448,0.000020961892,0.0022363788],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966468,0.00097035774,0.00012063198,0.0004040035,0.00082004553,0.0010382404],"domain_scores_gemma":[0.9924039,0.0031958246,0.0014782323,0.00055388565,0.0012162427,0.0011518658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045060846,0.00027647876,0.0003146965,0.001666971,0.0030983048,0.008841386,0.0010839785,0.0020944492,0.0060696807],"category_scores_gemma":[0.016913677,0.0003619924,0.00034737145,0.0022426215,0.0054892823,0.01672693,0.0035308092,0.0037250624,0.0010829567],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003282089,0.0005296864,0.17074855,0.00031428496,0.000033197244,0.0044657807,0.43536618,0.0003297231,0.0034634988,0.21804097,0.008556099,0.1578238],"study_design_scores_gemma":[0.00004077645,0.00041255125,0.17893746,0.0008113415,0.00005027465,0.0034758493,0.6153956,0.002159916,0.0045129135,0.05386474,0.14017543,0.00016312524],"about_ca_topic_score_codex":0.0111167645,"about_ca_topic_score_gemma":0.009153594,"teacher_disagreement_score":0.0111167645,"about_ca_system_score_codex":0.0028081054,"about_ca_system_score_gemma":0.002439879,"threshold_uncertainty_score":0.023830712},"labels":[],"label_agreement":null},{"id":"W3137383806","doi":"10.5430/ijfr.v12n4p65","title":"Exploring Reflections of Lecturers on Ethics in the Accounting Curriculum: A Case Study of Ukzn and Unizulu, South Africa","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Misconduct; Audit; Curriculum; Accounting scandals; Context (archaeology); Political science; Forensic accounting; Financial accounting; Public relations; Accounting information system; Business; Law; History","score_opus":0.8055412478157412,"score_gpt":0.6045794355320148,"score_spread":0.20096181228372645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137383806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916795,0.0005503986,0.00029562172,0.0040383916,0.000090860856,0.00008122104,0.000012072315,0.000009491225,0.0032424054],"genre_scores_gemma":[0.9924459,0.0007416396,0.000356301,0.0010101786,0.000040426727,0.00005371917,0.000010491731,0.000017961847,0.0053234226],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9893141,0.0061721653,0.00038249505,0.0005387922,0.00088852743,0.0027039067],"domain_scores_gemma":[0.9855149,0.006171082,0.0019916557,0.0003002039,0.0013761092,0.004646039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006942875,0.0008760677,0.00082382874,0.002947327,0.022173965,0.008166227,0.0023151042,0.0037994517,0.0045788647],"category_scores_gemma":[0.017386349,0.0010436017,0.0005063299,0.002360771,0.010530701,0.0037348026,0.0072162114,0.0058393045,0.0007742277],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003669183,0.0001486976,0.0036242248,0.00008760926,0.000004226594,0.004799017,0.98443353,0.000042834217,0.0011260491,0.0009822141,0.0006266657,0.0040882602],"study_design_scores_gemma":[0.0000041110748,0.00006923031,0.0022806178,0.00010695628,0.0000040545124,0.0005349377,0.9867099,0.000049269256,0.00030831987,0.00006727415,0.009854195,0.000011106997],"about_ca_topic_score_codex":0.026838832,"about_ca_topic_score_gemma":0.063110545,"teacher_disagreement_score":0.026838832,"about_ca_system_score_codex":0.0154557945,"about_ca_system_score_gemma":0.0077887825,"threshold_uncertainty_score":0.11214018},"labels":[],"label_agreement":null},{"id":"W3137720453","doi":"10.5430/ijfr.v12n3p435","title":"Finding the Network Structure of Rwandan Interbank Market","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Rwanda","keywords":"Interbank lending market; Business; Systemic risk; Economics; Monetary economics; Financial system; Financial crisis; Market liquidity; Macroeconomics","score_opus":0.049711364848663696,"score_gpt":0.3312817549135489,"score_spread":0.2815703900648852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137720453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94929653,0.00079292967,0.039026547,0.0006999436,0.000012167887,0.000051141782,0.0010245901,0.000059371123,0.009036722],"genre_scores_gemma":[0.99316216,0.00041717768,0.004914713,0.00001819665,0.0000075028124,0.000027507507,0.00038134764,0.0000060977536,0.0010654702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997826,0.00009514351,0.0000065883646,0.000058446076,0.0000152625,0.000041948366],"domain_scores_gemma":[0.9990133,0.00045918417,0.0002935196,0.000059330625,0.00011844717,0.0000561414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035261133,0.00016597705,0.00024187559,0.0016400028,0.0005473402,0.0012189529,0.00037575976,0.00049015885,0.0028703518],"category_scores_gemma":[0.0032583321,0.00029502067,0.00024227094,0.0012304855,0.00046896556,0.0024985408,0.0005551973,0.00033310533,0.00030792266],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027668782,0.00012006805,0.22511157,0.00040591235,0.00016481544,0.0014851197,0.0034692665,0.3681931,0.0058040735,0.33229038,0.009042481,0.053636514],"study_design_scores_gemma":[0.000027664766,0.0000853712,0.11594519,0.00019352217,0.000093026756,0.0007758224,0.0046489034,0.7412336,0.0011637493,0.123715766,0.012059142,0.000058178473],"about_ca_topic_score_codex":0.010876982,"about_ca_topic_score_gemma":0.009564913,"teacher_disagreement_score":0.010876982,"about_ca_system_score_codex":0.0009701244,"about_ca_system_score_gemma":0.000505592,"threshold_uncertainty_score":0.021627367},"labels":[],"label_agreement":null},{"id":"W3138452572","doi":"10.5430/ijfr.v12n4p12","title":"Implications of COVID-19 Lockdown on South African Business Sector","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustenance; Government (linguistics); Pandemic; Private sector; Gross domestic product; Informal sector; Business sector; Socioeconomic status; Economic sector; Economic growth; Coronavirus disease 2019 (COVID-19); Development economics; Business; Geography; Economy; Economics; Political science; Population; Sociology; Demography; Medicine","score_opus":0.19480595259942426,"score_gpt":0.40393472627957333,"score_spread":0.20912877368014907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138452572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87176704,0.011548044,0.00063395937,0.06764443,0.00031520595,0.00013939205,0.0003659678,0.00000989637,0.047576062],"genre_scores_gemma":[0.9847311,0.008103783,0.00025558032,0.0036579515,0.00004734393,0.0000428421,0.000053560747,0.0000070379265,0.0031009642],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9959912,0.0020067417,0.00019568442,0.00016249223,0.00071039307,0.0009335493],"domain_scores_gemma":[0.98820156,0.0066488297,0.0027882513,0.00030646333,0.0012349201,0.00081995706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005910587,0.00016360755,0.00018026453,0.0011963373,0.0030341127,0.003769009,0.00052900607,0.0011185415,0.0037476185],"category_scores_gemma":[0.014490635,0.00021468397,0.00023948491,0.0018792829,0.0032758182,0.0033584803,0.0030495438,0.001884668,0.00032451877],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003427598,0.00023820819,0.141481,0.0043657077,0.00006059982,0.020008283,0.48518765,0.001274546,0.009378224,0.16854133,0.02234249,0.14677922],"study_design_scores_gemma":[0.000009617586,0.00016619434,0.13517328,0.0031307505,0.000023363147,0.0012613862,0.64046025,0.0002872475,0.0023137426,0.0063392525,0.2107792,0.000055719116],"about_ca_topic_score_codex":0.015329024,"about_ca_topic_score_gemma":0.022522582,"teacher_disagreement_score":0.015329024,"about_ca_system_score_codex":0.0066820877,"about_ca_system_score_gemma":0.008280928,"threshold_uncertainty_score":0.04848212},"labels":[],"label_agreement":null},{"id":"W3138491509","doi":"10.5430/ijfr.v12n3p446","title":"Corporate Governance Mechanisms and Firm Performance in Saudi Arabia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Audit committee; Corporate governance; Accounting; Stewardship theory; Resource dependence theory; Principal–agent problem; Business; Shareholder; Stock exchange; Independence (probability theory); Audit; Finance; Economics; Management","score_opus":0.0583191422149909,"score_gpt":0.2980464366667954,"score_spread":0.23972729445180452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138491509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983783,0.0003568605,0.00006907047,0.00013944172,0.0000031252932,0.0000047438243,0.00009536398,0.0000029444684,0.0009500878],"genre_scores_gemma":[0.99950993,0.000097271935,0.00003614348,0.0000104044175,0.0000038665344,0.0000011444941,0.00007858908,4.8773893e-7,0.00026220578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994474,0.00012240614,0.000068921254,0.00006844912,0.00016523592,0.00012758301],"domain_scores_gemma":[0.9914698,0.0010495897,0.005249966,0.00022983343,0.0014402738,0.0005604972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011892351,0.00015575229,0.0001549565,0.0012663672,0.00030305458,0.0017134977,0.0002245767,0.00030548256,0.0011416228],"category_scores_gemma":[0.0034909805,0.00008307773,0.00014833354,0.001369551,0.0004234746,0.0005974296,0.0006996872,0.00023604148,0.00023359577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062841114,0.000056920326,0.9837054,0.000027921928,0.000052370844,0.0001126003,0.00065173063,0.0009995552,0.00041500342,0.0007867837,0.00025834856,0.012870536],"study_design_scores_gemma":[0.00000475308,0.000070104325,0.9956455,0.000018064597,0.000014317076,0.00005122318,0.0012499116,0.0013598953,0.00025376922,0.00019437021,0.0011296017,0.000008442356],"about_ca_topic_score_codex":0.022507956,"about_ca_topic_score_gemma":0.019538255,"teacher_disagreement_score":0.022507956,"about_ca_system_score_codex":0.0013726942,"about_ca_system_score_gemma":0.0006897762,"threshold_uncertainty_score":0.04475391},"labels":[],"label_agreement":null},{"id":"W3138587168","doi":"10.5430/ijfr.v12n4p1","title":"The Impact of Serious Safety Incidents on Airline Stocks","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Crash; Business; Event study; Stock (firearms); Shareholder; Finance; Computer science; Corporate governance; Geography","score_opus":0.05770447670884981,"score_gpt":0.37927245205021975,"score_spread":0.32156797534136994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138587168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962186,0.00022365121,0.000100976074,0.00021989548,0.000018207831,0.000004765414,0.00045139142,0.000007041011,0.0027555032],"genre_scores_gemma":[0.9991258,0.00011996643,0.000029876366,0.000021131194,0.000032814896,0.0000013714754,0.00033726165,0.0000020713894,0.00032973994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993467,0.00012523716,0.00006588397,0.00009394189,0.00021263876,0.00015556939],"domain_scores_gemma":[0.99072826,0.002151004,0.0053294655,0.00035596074,0.00074068096,0.0006947491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005576964,0.00027100032,0.00019713595,0.0012209534,0.000312761,0.0012833518,0.0002570035,0.0004268727,0.0049700513],"category_scores_gemma":[0.0066446746,0.000105887295,0.0003951141,0.0008370154,0.00044478127,0.0010340051,0.0011257628,0.0008448243,0.00049904676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016039974,0.000053345128,0.99142355,0.000022662318,0.00012578351,0.0002837044,0.00021117208,0.0009093653,0.00045669757,0.00025881565,0.000532784,0.005561617],"study_design_scores_gemma":[0.0000014460519,0.0000932585,0.9977946,0.000013092447,0.000023506114,0.00012976167,0.00041416456,0.00066026655,0.00025119213,0.0001594594,0.00045277236,0.000006380597],"about_ca_topic_score_codex":0.00725026,"about_ca_topic_score_gemma":0.00853756,"teacher_disagreement_score":0.00725026,"about_ca_system_score_codex":0.0003827359,"about_ca_system_score_gemma":0.00022453279,"threshold_uncertainty_score":0.016626477},"labels":[],"label_agreement":null},{"id":"W3139213499","doi":"10.5430/ijfr.v12n4p24","title":"Managerial Characteristics as Drivers of Innovation","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Interdependence; Creativity; Sample (material); Business; Innovation process; Marketing; Process (computing); Empirical research; Distribution (mathematics); Industrial organization; Psychology; Sociology; Work in process; Social psychology","score_opus":0.05413270578549131,"score_gpt":0.3553100822506994,"score_spread":0.3011773764652081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139213499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890059,0.00071674364,0.00033439163,0.0011150442,0.000024677627,0.000037951806,0.00009621858,0.0000073041324,0.0086618],"genre_scores_gemma":[0.9990326,0.00018374667,0.00010506618,0.00005538331,0.000020231564,0.0000075840444,0.000025607356,0.0000015041869,0.0005682614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804807,0.000553018,0.0001380387,0.00018849362,0.00059908576,0.0004733887],"domain_scores_gemma":[0.9719947,0.01402371,0.007872623,0.00071105413,0.0012551773,0.0041427133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026271683,0.00018846292,0.00028697582,0.0016465135,0.0010154127,0.0030096106,0.00048284605,0.0008882137,0.0058556036],"category_scores_gemma":[0.015780147,0.00018433388,0.0004740515,0.0013015795,0.0007692955,0.0010550492,0.001296302,0.0009499698,0.00050911965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006339464,0.00019552134,0.97933745,0.00005261377,0.000066763154,0.00017274373,0.001248461,0.00039998838,0.0002232945,0.0016515587,0.00041879565,0.016169388],"study_design_scores_gemma":[0.000010012281,0.00015370622,0.99138814,0.00006767426,0.00003859355,0.0001254333,0.0029664293,0.00083614944,0.00014135093,0.0014180028,0.0028422792,0.00001234277],"about_ca_topic_score_codex":0.0027410188,"about_ca_topic_score_gemma":0.0037885178,"teacher_disagreement_score":0.0058556036,"about_ca_system_score_codex":0.0010285567,"about_ca_system_score_gemma":0.0019377319,"threshold_uncertainty_score":0.019588888},"labels":[],"label_agreement":null},{"id":"W3139246767","doi":"10.5430/ijfr.v12n3p466","title":"The Relationship Between Profitability and Firm Value: Evidence From Manufacturing Industry in Indonesia","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Analysis and Corporate Governance","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profitability index; Stock exchange; Capital structure; Enterprise value; Business; Panel data; Sample (material); Value (mathematics); Manufacturing; Variables; Regression analysis; Econometrics; Capital call; Industrial organization; Economics; Finance; Microeconomics; Marketing; Statistics; Economic capital; Mathematics","score_opus":0.13980034684247913,"score_gpt":0.3638441896351244,"score_spread":0.22404384279264525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139246767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823916,0.00030979153,0.00003834749,0.00010623361,0.0000025499749,0.0000019102147,0.000087043954,0.000001225459,0.0012138521],"genre_scores_gemma":[0.9995253,0.0001926907,0.000027183789,0.000014495668,0.0000049223268,0.0000011594296,0.0001114328,6.176981e-7,0.00012219325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996018,0.00009067168,0.000035803576,0.00007775341,0.0001170233,0.00007704297],"domain_scores_gemma":[0.9953513,0.0016552688,0.0021219237,0.000118402815,0.0003164034,0.0004366177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005385276,0.00014715634,0.00022958856,0.00077359093,0.00027934407,0.00096188573,0.00023335512,0.0002678544,0.0011582777],"category_scores_gemma":[0.0021350689,0.00012377238,0.00022030326,0.0011534278,0.00038848325,0.00057366583,0.00057427003,0.00052728434,0.00021327093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003105616,0.000063523476,0.99573165,0.000022930999,0.0000412348,0.00020247548,0.00027762615,0.00011145401,0.00014971425,0.00012085015,0.00012871427,0.0031188268],"study_design_scores_gemma":[0.0000012619729,0.000027007554,0.99874675,0.000013045547,0.000020582956,0.000054437947,0.0005599373,0.00022297644,0.00008137039,0.000046680223,0.00022381775,0.0000021190156],"about_ca_topic_score_codex":0.0069478634,"about_ca_topic_score_gemma":0.013621605,"teacher_disagreement_score":0.0069478634,"about_ca_system_score_codex":0.00045069907,"about_ca_system_score_gemma":0.0004493482,"threshold_uncertainty_score":0.013814867},"labels":[],"label_agreement":null},{"id":"W3139299103","doi":"10.5430/ijfr.v12n4p52","title":"The Investment in Fixed Assets Before and After the Global Financial Crisis (Empirical Study for Industry and Investment Sector in Palestine Stock Exchange)","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Palestine Technical University Kadoorie","keywords":"Fixed asset; Stock exchange; Return on assets; Financial crisis; Weighted average return on assets; Financial system; Investment (military); Business; Equity (law); Stock (firearms); Monetary economics; Economics; Finance; Macroeconomics","score_opus":0.06385754799907145,"score_gpt":0.36879519380503445,"score_spread":0.304937645805963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139299103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856323,0.00013058315,0.0000091122665,0.00004802787,0.0000020341488,0.0000015192498,0.00010161547,3.9894948e-7,0.0011434637],"genre_scores_gemma":[0.99894506,0.00012935397,0.0000126497525,0.0000119760425,0.0000040120876,0.0000014508788,0.000246009,4.4985237e-7,0.00064898585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981576,0.000023200993,0.000018087261,0.000023395674,0.00003666716,0.000082855535],"domain_scores_gemma":[0.99878937,0.00018299918,0.00066437357,0.000036646674,0.00012626142,0.00020044147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005173008,0.00014945141,0.00011302467,0.0009895595,0.00024317444,0.0012278664,0.00020633196,0.00038518483,0.0015483039],"category_scores_gemma":[0.0014275985,0.00008354231,0.00014922017,0.0011321311,0.0003561869,0.00073547155,0.00059038424,0.00063105155,0.00026049349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006812497,0.0000425186,0.9939778,0.00001252995,0.000012169023,0.00023029353,0.0007941953,0.0001112264,0.0001734462,0.0003334931,0.00014241303,0.004101826],"study_design_scores_gemma":[8.706037e-7,0.000025952553,0.9981,0.000010475023,0.0000035934759,0.000060469032,0.0012381548,0.00005846892,0.00007608888,0.000032130913,0.0003923696,0.000001442937],"about_ca_topic_score_codex":0.011613689,"about_ca_topic_score_gemma":0.018866628,"teacher_disagreement_score":0.011613689,"about_ca_system_score_codex":0.00069209177,"about_ca_system_score_gemma":0.00047509398,"threshold_uncertainty_score":0.02309221},"labels":[],"label_agreement":null},{"id":"W3145731514","doi":"10.5430/ijfr.v12n4p100","title":"Empirical Analysis of the Relationship Between the Development of China's Tourism Industry and Economic Growth Based on VAR Model","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Vector autoregression; China; Economics; Promotion (chess); Foreign exchange; Empirical research; Econometrics; Macroeconomics; Economy; Monetary economics; Geography; Political science","score_opus":0.16459585359754134,"score_gpt":0.454818789551927,"score_spread":0.29022293595438564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145731514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602358,0.0011232091,0.029811636,0.0011550393,0.00008323868,0.000052252974,0.0011939817,0.00024478676,0.0061000967],"genre_scores_gemma":[0.9966421,0.00036151495,0.0008529207,0.000028230537,0.00002903191,0.000019762298,0.0006837442,0.000010986291,0.0013717785],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993044,0.00021347562,0.000048549537,0.00015128264,0.00011803192,0.00016419117],"domain_scores_gemma":[0.9969505,0.0022227538,0.0002777977,0.00008595822,0.00031348824,0.00014943577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016813107,0.000593571,0.0007372325,0.0016471283,0.00031935243,0.0014274714,0.00077882106,0.0006873626,0.0034037058],"category_scores_gemma":[0.004330749,0.0003695266,0.0009945456,0.0017504044,0.00046332687,0.0011667751,0.0007766996,0.0013519601,0.00044531666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032947256,0.0003150141,0.63216853,0.00039256722,0.00091879495,0.002058,0.00064882624,0.29784724,0.001952332,0.024260586,0.0056521543,0.03345638],"study_design_scores_gemma":[0.000025858857,0.00012464088,0.12546286,0.000063090454,0.0002485863,0.00020545516,0.00043848407,0.8669754,0.00045393297,0.0045407177,0.0014144934,0.000046412388],"about_ca_topic_score_codex":0.017217198,"about_ca_topic_score_gemma":0.009861908,"teacher_disagreement_score":0.017217198,"about_ca_system_score_codex":0.00083157455,"about_ca_system_score_gemma":0.0011630129,"threshold_uncertainty_score":0.034233928},"labels":[],"label_agreement":null},{"id":"W3147373519","doi":"10.5430/ijfr.v12n4p111","title":"Environmental Disclosure Modelling in a Developing Economy: Does Corporate Governance Matter? A Double Hurdle Regression Approach","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Tobit model; Akaike information criterion; Accounting; Business; Stock exchange; Bayesian information criterion; Econometrics; Actuarial science; Economics; Statistics; Finance","score_opus":0.05322579871822764,"score_gpt":0.2915843336182451,"score_spread":0.23835853490001746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147373519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639523,0.0014572652,0.027194858,0.002246849,0.00006419959,0.000109767665,0.00027584538,0.000057138095,0.0046417564],"genre_scores_gemma":[0.9942688,0.00053918606,0.0023522456,0.00008058339,0.00003717905,0.00003462746,0.0001733931,0.000009559093,0.002504332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99562633,0.0024409157,0.0002482275,0.00065752544,0.00048558888,0.00054147],"domain_scores_gemma":[0.9784983,0.013875811,0.0046687652,0.0011482819,0.00128024,0.0005286327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005858072,0.00064278656,0.0011075167,0.001545,0.0006522291,0.0028847368,0.0010580356,0.0011863183,0.002495308],"category_scores_gemma":[0.015439027,0.0005028347,0.0018184191,0.0015374039,0.00095319876,0.0017513137,0.0018534652,0.001940905,0.00044267188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002982796,0.00042129162,0.81803954,0.00024253245,0.0011348308,0.0018222837,0.0019084259,0.099564984,0.0007352801,0.027654422,0.0020653207,0.046112705],"study_design_scores_gemma":[0.00006234871,0.00061769504,0.21144366,0.00024634076,0.0005568024,0.00063781295,0.0037681097,0.7428544,0.0013399199,0.03261539,0.0057263467,0.00013109887],"about_ca_topic_score_codex":0.012579167,"about_ca_topic_score_gemma":0.0076520415,"teacher_disagreement_score":0.012579167,"about_ca_system_score_codex":0.00092171156,"about_ca_system_score_gemma":0.0013092982,"threshold_uncertainty_score":0.030980825},"labels":[],"label_agreement":null},{"id":"W3150601106","doi":"10.5430/ijfr.v12n4p88","title":"Public Sector Accounting in Europe: A Systematic Literature Review","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Accounting; Public sector; Social accounting; Accountability; Harmonization; Accounting research; Political science; Management accounting; Business; Economics","score_opus":0.12091623914045349,"score_gpt":0.37394126961672414,"score_spread":0.2530250304762707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150601106","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031641244,0.99453247,0.00020559978,0.00043902692,0.00013153015,0.00017058496,0.00073451933,0.000009802762,0.0006123061],"genre_scores_gemma":[0.020930927,0.9769027,0.00071419834,0.0004194141,0.000113692884,0.00026030667,0.0005418196,0.0000063445823,0.000110612076],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99107987,0.002362726,0.0035515681,0.0007024052,0.002001785,0.00030166714],"domain_scores_gemma":[0.9592415,0.026751284,0.007622414,0.0006626859,0.0052172053,0.000504914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010236618,0.00096089096,0.0035582038,0.04003601,0.00081166014,0.0027902448,0.0010505039,0.001599938,0.0036320454],"category_scores_gemma":[0.03758855,0.00069921557,0.0029505808,0.035886947,0.0010945919,0.0029458702,0.0017759105,0.0007302677,0.00034914273],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016601682,0.000052874253,0.0050196825,0.8445771,0.0033574163,0.0005246576,0.00068639166,0.00024328395,0.00028982857,0.0011864717,0.0052884417,0.1386078],"study_design_scores_gemma":[0.00006350858,0.00013478738,0.012863575,0.91518337,0.011868622,0.001034596,0.0010930523,0.00011400809,0.00025814062,0.0005233645,0.056824874,0.000038046124],"about_ca_topic_score_codex":0.006165581,"about_ca_topic_score_gemma":0.015684454,"teacher_disagreement_score":0.04003601,"about_ca_system_score_codex":0.003237063,"about_ca_system_score_gemma":0.017433817,"threshold_uncertainty_score":0.05413705},"labels":[],"label_agreement":null},{"id":"W3150723997","doi":"10.5430/ijfr.v12n4p78","title":"Bankruptcy Risk and Financial Performance of Companies Listed on the Stock Exchange of Thailand","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Bankruptcy; Stock exchange; Financial ratio; Bankruptcy prediction; Market liquidity; Proxy (statistics); Market risk; Accounting; Finance; Financial system; Actuarial science; Statistics","score_opus":0.12381220236495324,"score_gpt":0.3757344004616021,"score_spread":0.25192219809664884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150723997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804735,0.0002446551,0.00003561607,0.00010966234,0.000005237923,0.0000030960707,0.00031203122,0.0000029092716,0.0012393747],"genre_scores_gemma":[0.9989668,0.00017939793,0.000018587158,0.000010159844,0.000011419839,0.0000018076979,0.00038333746,9.642866e-7,0.00042749237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999476,0.00010358627,0.00011504049,0.000064313026,0.00014982962,0.00009109683],"domain_scores_gemma":[0.9868968,0.0020812172,0.009126249,0.0002154968,0.000722102,0.0009580882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078407733,0.00022056744,0.00015925654,0.0012849261,0.0002691323,0.0016401487,0.00017081398,0.0004080855,0.0021932088],"category_scores_gemma":[0.0049162456,0.00009382907,0.00027194503,0.0015294622,0.00037582085,0.00086745346,0.00057018065,0.00052748894,0.0004249328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044868095,0.000034674355,0.99684274,0.000011043742,0.000029463854,0.00012766298,0.0001369877,0.00019951448,0.000073021445,0.00008475177,0.00015413258,0.0022611502],"study_design_scores_gemma":[0.000001895337,0.00005516493,0.99849844,0.000013170571,0.000014951478,0.00011863002,0.0003490278,0.0005487226,0.00009009641,0.00007471206,0.00022961243,0.000005670126],"about_ca_topic_score_codex":0.0064009335,"about_ca_topic_score_gemma":0.006882431,"teacher_disagreement_score":0.0064009335,"about_ca_system_score_codex":0.00041016212,"about_ca_system_score_gemma":0.00035042738,"threshold_uncertainty_score":0.01272738},"labels":[],"label_agreement":null},{"id":"W3152884191","doi":"10.5430/ijfr.v12n4p125","title":"A Systematic Literature Review on Mergers and Acquisitions: A Bibliometric Analysis Approach","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Covenant University","keywords":"Mergers and acquisitions; Restructuring; Preference; Business; Marketing; Accounting; Economics; Finance; Microeconomics","score_opus":0.050494104151206726,"score_gpt":0.3472004290519873,"score_spread":0.2967063249007805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152884191","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016437126,0.95477813,0.0029777898,0.0023233711,0.0005021832,0.0070026973,0.010216332,0.00010126908,0.005661139],"genre_scores_gemma":[0.049475186,0.9220951,0.01303871,0.00079504825,0.00028445976,0.008929528,0.0044381972,0.000022383754,0.00092142605],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9816258,0.0050839037,0.0071709272,0.00097084604,0.0047756284,0.00037281745],"domain_scores_gemma":[0.94864243,0.03346245,0.0076961615,0.0010550144,0.00839727,0.0007466454],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.012695394,0.0013989479,0.0059904037,0.1501945,0.0022194097,0.004108119,0.0017419278,0.0014907328,0.0057062805],"category_scores_gemma":[0.055457886,0.0010191348,0.0039895996,0.11792268,0.0014177057,0.004729776,0.0028497388,0.0008548028,0.0006288155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012808018,0.0000659526,0.004145759,0.8253525,0.0023773706,0.00073258026,0.0016100935,0.0003168129,0.00093329675,0.0017535894,0.0075344024,0.15504955],"study_design_scores_gemma":[0.00016230883,0.00041186129,0.03205816,0.8136836,0.02347035,0.0014621941,0.0052854666,0.00044575566,0.00083630934,0.002300225,0.11973731,0.00014650844],"about_ca_topic_score_codex":0.006893985,"about_ca_topic_score_gemma":0.020927753,"teacher_disagreement_score":0.8498055,"about_ca_system_score_codex":0.006229865,"about_ca_system_score_gemma":0.028718287,"threshold_uncertainty_score":0.0671404},"labels":[],"label_agreement":null},{"id":"W3153058875","doi":"10.5430/ijfr.v12n4p135","title":"Efficiency Measurement of Indian Banking Industry: An Empirical Comparative Analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Banking industry; Business; Equity (law); Pledge; Financial system; Private sector; Scale (ratio); Public sector; Finance; Accounting; Industrial organization; Economics; Economy; Economic growth","score_opus":0.43695535336146846,"score_gpt":0.5664216593771841,"score_spread":0.12946630601571568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153058875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833475,0.000883841,0.0019535513,0.00020816785,0.000009180917,0.000044900047,0.00056161446,0.000030700226,0.012960598],"genre_scores_gemma":[0.9976584,0.00046852345,0.0006328585,0.000025338599,0.000017791124,0.000014413725,0.00053819903,0.0000048158713,0.00063956226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972856,0.0006015565,0.00024902468,0.00029124654,0.0011063125,0.0004661409],"domain_scores_gemma":[0.99247956,0.002494823,0.0019598044,0.00046949368,0.0022568249,0.0003394135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283241,0.00033368985,0.000371065,0.010173239,0.00065654836,0.0021693553,0.00069410336,0.00037748422,0.0021885065],"category_scores_gemma":[0.006295186,0.00021486377,0.00097111525,0.012669565,0.0008194974,0.0012738203,0.0010746901,0.00052509113,0.00050289487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008521468,0.0002037623,0.9588679,0.000161778,0.00013409564,0.00034182993,0.0015812638,0.002557506,0.00042201128,0.0024022227,0.0009831061,0.032259118],"study_design_scores_gemma":[0.0000031376157,0.00009408019,0.9897686,0.00004450485,0.00007937358,0.00026645517,0.0036195405,0.0036405472,0.0003463079,0.000338706,0.0017811601,0.000017489121],"about_ca_topic_score_codex":0.01830027,"about_ca_topic_score_gemma":0.013799537,"teacher_disagreement_score":0.01830027,"about_ca_system_score_codex":0.0017340181,"about_ca_system_score_gemma":0.001327304,"threshold_uncertainty_score":0.036387503},"labels":[],"label_agreement":null},{"id":"W3155389418","doi":"10.5430/ijfr.v12n4p146","title":"Marketing of Cities as Centres of Socio-Economic Development in the Process of Globalisation","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Business; City marketing; Novelty; Process (computing); Marketing; Globalization; Urban planning; Sustainable regional development; Regional science; Political science; Geography; Civil engineering; Computer science; Engineering","score_opus":0.06384224099046283,"score_gpt":0.4177773326905919,"score_spread":0.3539350917001291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155389418","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2680891,0.011073572,0.010315755,0.032783393,0.00046265923,0.00018155754,0.00015558153,0.00023455062,0.6767039],"genre_scores_gemma":[0.97235674,0.0031320343,0.0026306598,0.00050764607,0.00014958324,0.0000741712,0.000031120646,0.000037431848,0.021080747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855083,0.0009974651,0.000026579544,0.00008792904,0.00016317992,0.00017400554],"domain_scores_gemma":[0.99858105,0.0005741415,0.0003103608,0.00013660624,0.00017607074,0.00022176448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020603403,0.0003391063,0.000256213,0.001970103,0.0027654544,0.012258232,0.0005036979,0.0012651333,0.007429498],"category_scores_gemma":[0.0017322733,0.00022780208,0.00027389056,0.0034049887,0.012847706,0.007330571,0.004344172,0.0011268433,0.0006665743],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042443175,0.000027128732,0.0024557246,0.00016627621,0.000008433057,0.00020705233,0.045341153,0.00044483037,0.00047192152,0.9201222,0.0056240116,0.025088765],"study_design_scores_gemma":[0.000037144517,0.00008791566,0.021399654,0.00042769086,0.00003058827,0.00040325668,0.09303822,0.0015776096,0.0008624812,0.22895277,0.653132,0.00005064094],"about_ca_topic_score_codex":0.0026540086,"about_ca_topic_score_gemma":0.0039842944,"teacher_disagreement_score":0.012258232,"about_ca_system_score_codex":0.0046390556,"about_ca_system_score_gemma":0.0020458242,"threshold_uncertainty_score":0.033658862},"labels":[],"label_agreement":null},{"id":"W3160971726","doi":"10.5430/ijfr.v12n4p179","title":"Entrepreneurs Characteristics of Thematic Small and Medium Industries in Innovation Sub District of Palu City","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Tadulako","keywords":"Competence (human resources); Entrepreneurship; Structural equation modeling; Business; Ethnic group; Marketing; Small and medium-sized enterprises; Government (linguistics); Thematic map; Economics; Sociology; Management; Geography","score_opus":0.08936546655755571,"score_gpt":0.33259571286890305,"score_spread":0.24323024631134732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160971726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996697,0.0000058175647,0.000010472984,0.000010907278,5.1865084e-7,0.0000033645886,0.000014782676,3.7117525e-7,0.000284044],"genre_scores_gemma":[0.9995988,0.000016326077,0.000026390358,0.000004715647,5.833649e-7,0.0000062294343,0.00003449404,3.736855e-7,0.00031203532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998016,0.00003722832,0.000018979545,0.000035250967,0.000045512414,0.00006148546],"domain_scores_gemma":[0.99916184,0.00015530939,0.00023531287,0.000039909428,0.00008761693,0.00031991195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031044206,0.00015648946,0.00018761719,0.00076217443,0.0007762634,0.00090613094,0.00021108503,0.00021878355,0.0023308983],"category_scores_gemma":[0.0009307846,0.00014715859,0.00019899216,0.00088782946,0.0003741047,0.00033224994,0.0008198543,0.00031028048,0.0002564701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031127824,0.00009303604,0.99353564,0.00001174031,0.000008411861,0.00024772208,0.0027411836,0.00009056429,0.0002605856,0.00009236257,0.000084050094,0.0028035743],"study_design_scores_gemma":[0.0000030750832,0.00006756144,0.98671585,0.000011027745,0.000007399238,0.00018819905,0.012228939,0.00030200754,0.00008068491,0.00005213549,0.00033832836,0.000004880329],"about_ca_topic_score_codex":0.0056000594,"about_ca_topic_score_gemma":0.01304977,"teacher_disagreement_score":0.0056000594,"about_ca_system_score_codex":0.00032802118,"about_ca_system_score_gemma":0.0007350144,"threshold_uncertainty_score":0.0111349225},"labels":[],"label_agreement":null},{"id":"W3160983221","doi":"10.5430/ijfr.v12n4p191","title":"Do Board Characteristics Affect Financial Reporting Timeliness? An Empirical Analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Covenant University","keywords":"Business; Accounting; Corporate governance; Due diligence; Finance; Independence (probability theory); On board; Financial ratio","score_opus":0.06570873032848046,"score_gpt":0.3975846695008886,"score_spread":0.33187593917240815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160983221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972683,0.00035161903,0.00013487415,0.00024358516,0.000013977685,0.000017816032,0.0004539656,0.0000049663463,0.0015109316],"genre_scores_gemma":[0.9985429,0.00023145428,0.000103497856,0.000026413114,0.000027516628,0.000011980357,0.00051374425,0.0000024211133,0.00054016575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978066,0.0007073203,0.0003889655,0.00024477765,0.0005319993,0.0003202984],"domain_scores_gemma":[0.9293674,0.021759106,0.041744225,0.0013360031,0.0034493518,0.0023438227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032551603,0.00018082626,0.00026316656,0.0017877163,0.00034814925,0.0013508956,0.0004169424,0.0003751558,0.0041716825],"category_scores_gemma":[0.021352641,0.00013534812,0.0005282462,0.002858155,0.00036238498,0.0011062219,0.0005017304,0.0007401028,0.0005949073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004142618,0.00006034347,0.9948655,0.00001780286,0.000033401033,0.000065754386,0.00028541952,0.00007876429,0.000035689813,0.000047440168,0.00023128906,0.004237199],"study_design_scores_gemma":[0.0000015940303,0.000050662118,0.997891,0.000019911351,0.000021807926,0.00005666842,0.00096863264,0.0002926192,0.000061778956,0.000023488215,0.00060845236,0.0000033835274],"about_ca_topic_score_codex":0.007421495,"about_ca_topic_score_gemma":0.0076264804,"teacher_disagreement_score":0.007421495,"about_ca_system_score_codex":0.0006489832,"about_ca_system_score_gemma":0.00072146754,"threshold_uncertainty_score":0.017215133},"labels":[],"label_agreement":null},{"id":"W3161253418","doi":"10.5430/ijfr.v12n4p156","title":"Treasury Single Account Policy and Revenue Generation Among Federal Parastatals in Ekiti-State, Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Treasury; Revenue; Descriptive statistics; Government (linguistics); Commission; Business; State (computer science); Government revenue; Nigerians; Accounting; Finance; Statistics; Political science; Law","score_opus":0.11886311213074817,"score_gpt":0.3377594779919362,"score_spread":0.218896365861188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161253418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992035,0.00006148766,0.000007883732,0.0000937489,0.0000018204298,0.0000028801062,0.000020760013,3.168351e-7,0.00060771755],"genre_scores_gemma":[0.9994491,0.00010995805,0.00002192832,0.000019707737,0.0000015582691,0.0000018932665,0.000026058411,3.306656e-7,0.00036949065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967706,0.000078220844,0.00003235969,0.000030497697,0.000048896538,0.00013290203],"domain_scores_gemma":[0.99807656,0.00033696773,0.001045446,0.00004265478,0.00025188018,0.0002464883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005309671,0.00011819793,0.00013324074,0.0005825393,0.0010243694,0.0013270084,0.00020333602,0.00033310312,0.0020168321],"category_scores_gemma":[0.0017102488,0.00012756819,0.00014880499,0.0005935698,0.00050085003,0.00058293086,0.0005292267,0.00072572223,0.0002223767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010512762,0.00033487947,0.9849474,0.000027296066,0.000019490622,0.00058309874,0.005151439,0.00013996732,0.00049317203,0.0010202071,0.00047625098,0.0067016655],"study_design_scores_gemma":[0.0000059836643,0.00012150503,0.96710277,0.000061578336,0.000015722051,0.00027159275,0.02991409,0.0005072779,0.00025298283,0.0002001322,0.0015346506,0.000011701578],"about_ca_topic_score_codex":0.033780906,"about_ca_topic_score_gemma":0.06769062,"teacher_disagreement_score":0.033780906,"about_ca_system_score_codex":0.0012597524,"about_ca_system_score_gemma":0.0013721759,"threshold_uncertainty_score":0.067168534},"labels":[],"label_agreement":null},{"id":"W3162622714","doi":"10.5430/ijfr.v12n4p203","title":"Herding Phenomenon During Various Market Conditions","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Herding; Phenomenon; Volatility (finance); Financial economics; Economics; Herd behavior; Market microstructure; Monetary economics; Business; Finance; Order (exchange); Geography","score_opus":0.0723764276654369,"score_gpt":0.33414016269734154,"score_spread":0.26176373503190464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162622714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985166,0.00010306018,0.00031752462,0.000048084243,0.000005639985,0.000008032902,0.00008254987,0.0000060531866,0.000912539],"genre_scores_gemma":[0.9995709,0.00003895847,0.0001413716,0.000009207576,0.0000074456925,0.0000037547459,0.00007432792,0.0000011509574,0.0001530552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996561,0.000050916704,0.000032044605,0.00006981705,0.000100246354,0.00009086636],"domain_scores_gemma":[0.9975491,0.00062593934,0.0012711559,0.00014938353,0.00022941644,0.00017500434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068592164,0.000120621226,0.0003040481,0.0010136381,0.00041851873,0.0006004706,0.00024767738,0.0003229244,0.001481092],"category_scores_gemma":[0.0030827906,0.0000890845,0.00018883617,0.0006391689,0.00036273684,0.0006485213,0.0004982997,0.00028585104,0.00014191183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003841402,0.00008429705,0.9565774,0.000115848554,0.00014437274,0.001586831,0.002354541,0.001250333,0.013721422,0.000984593,0.00073585345,0.022060385],"study_design_scores_gemma":[0.0000042520273,0.00015332502,0.9925519,0.000020585938,0.0000307205,0.0004080084,0.0013922948,0.0030508656,0.0010192387,0.0003508624,0.001003102,0.000014735837],"about_ca_topic_score_codex":0.0024200769,"about_ca_topic_score_gemma":0.0034813576,"teacher_disagreement_score":0.0024200769,"about_ca_system_score_codex":0.0002852097,"about_ca_system_score_gemma":0.00016998226,"threshold_uncertainty_score":0.0049547553},"labels":[],"label_agreement":null},{"id":"W3163023764","doi":"10.5430/ijfr.v12n4p212","title":"Students Perception About Digital Financial Services","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mobile banking; Business; Financial services; Debit card; The Internet; Telephone banking; Usability; Perception; Likert scale; Credit card; Adaptability; Marketing; Financial transaction; Finance; Service (business); Database transaction; Computer science; Payment; Psychology; Economics; Management","score_opus":0.06078115083826137,"score_gpt":0.3465574098959449,"score_spread":0.28577625905768356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163023764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728215,0.0000518312,0.0000770146,0.00015652803,0.0000056133954,0.0000060386674,0.000044972374,0.0000028042991,0.002373062],"genre_scores_gemma":[0.9987531,0.00009660776,0.00006292799,0.000073648334,0.000004372561,0.0000043992336,0.000048379556,0.0000010807285,0.00095542957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950373,0.000088073655,0.000034696233,0.00003313524,0.00020933845,0.00013105938],"domain_scores_gemma":[0.99821657,0.0003699392,0.0005290484,0.00004462844,0.00034725803,0.0004925516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062901323,0.00014056213,0.0002011403,0.00054032204,0.00038878407,0.0015829938,0.00013029022,0.00041770106,0.00787395],"category_scores_gemma":[0.0034807604,0.00007728608,0.00023787963,0.00049201,0.00032871307,0.0005452709,0.00054709485,0.00060242764,0.000577883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013140077,0.00057262636,0.93279004,0.00010808825,0.000026151694,0.0004190295,0.016568545,0.00014298719,0.001877866,0.000810987,0.0013082452,0.04524399],"study_design_scores_gemma":[0.000015046008,0.00054355856,0.9227089,0.00009182993,0.00003821311,0.0005387846,0.06331219,0.00055287813,0.00089135347,0.0003540594,0.010918071,0.000035115314],"about_ca_topic_score_codex":0.0032106938,"about_ca_topic_score_gemma":0.0024423818,"teacher_disagreement_score":0.00787395,"about_ca_system_score_codex":0.00036676557,"about_ca_system_score_gemma":0.00034116948,"threshold_uncertainty_score":0.026341021},"labels":[],"label_agreement":null},{"id":"W3164113174","doi":"10.5430/ijfr.v12n4p225","title":"A Systematic Literature Review on Critical Thinking in an Undergraduate Accounting Programme","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting Education and Careers","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"North-West University","keywords":"Critical thinking; Backwardness; Accounting; Mathematics education; Psychology; Business","score_opus":0.05984150773800132,"score_gpt":0.4023716492239375,"score_spread":0.34253014148593613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164113174","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009928994,0.99666876,0.00029472326,0.00058126845,0.0001683683,0.0003774597,0.0001943999,0.0000088002635,0.0007133858],"genre_scores_gemma":[0.010511891,0.9864429,0.0014286869,0.00055400294,0.0000819212,0.00063217006,0.00021175067,0.000005464604,0.00013114123],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.98548687,0.00547038,0.004524227,0.0008182381,0.0033541808,0.00034617796],"domain_scores_gemma":[0.89908856,0.07547941,0.012300396,0.0012256298,0.010648142,0.0012578841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014828694,0.0013717964,0.0043067527,0.02635951,0.0013362151,0.003814166,0.0021615175,0.0023549295,0.0044492413],"category_scores_gemma":[0.07639957,0.0011670664,0.004307309,0.021508643,0.0017978332,0.0047111106,0.002600803,0.0020456598,0.0005061675],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000998509,0.00005133305,0.000961397,0.8572404,0.00093101943,0.0002180788,0.0009653205,0.0001599658,0.00019039102,0.000989475,0.0041836547,0.13400926],"study_design_scores_gemma":[0.000036157122,0.00010547424,0.0025454783,0.9643445,0.0032651017,0.00038048098,0.00085171167,0.000052289473,0.00012778862,0.00047415728,0.02778885,0.000027906928],"about_ca_topic_score_codex":0.012486247,"about_ca_topic_score_gemma":0.034730893,"teacher_disagreement_score":0.02635951,"about_ca_system_score_codex":0.0070966976,"about_ca_system_score_gemma":0.040328365,"threshold_uncertainty_score":0.078422606},"labels":[],"label_agreement":null},{"id":"W3165470446","doi":"10.5430/ijfr.v12n4p239","title":"Banking Services Marketing via Social Media Platforms and Its Impact on Consumer Behavior During COVID-19 Pandemic in Jordanian Banks: Mediating Role of Innovation Marketing","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Business; Marketing; Social media; Social marketing; Population; Viral marketing; Social impact; Political science; Medicine; Environmental health","score_opus":0.05502918900257722,"score_gpt":0.4195540476292474,"score_spread":0.36452485862667017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165470446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99076045,0.00059154764,0.00009081475,0.0017458263,0.00002694662,0.000032253556,0.00011107942,0.0000045681313,0.0066365507],"genre_scores_gemma":[0.99752206,0.00056576444,0.00013951612,0.00031583972,0.000032695178,0.000022734192,0.000054290158,0.0000033031258,0.0013437348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987208,0.0006109585,0.000059450642,0.0001121139,0.00020679156,0.0002898229],"domain_scores_gemma":[0.9945551,0.0021160562,0.0016577655,0.00012994731,0.0006635467,0.0008775808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013162618,0.00032773893,0.00026997394,0.0007878034,0.0011302038,0.002585402,0.00026200165,0.0008809201,0.008729976],"category_scores_gemma":[0.0055361073,0.0001954377,0.00047860257,0.00066290237,0.000612423,0.0016965566,0.0009763011,0.0014090389,0.00062388816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023140763,0.0012567055,0.9249684,0.0002952813,0.00014089615,0.0007773582,0.020767821,0.00010960526,0.0007001794,0.0011870508,0.0024160026,0.047149286],"study_design_scores_gemma":[0.000017519531,0.00031572967,0.94341993,0.00030091556,0.000099774785,0.000295914,0.047531597,0.0006989074,0.00032068975,0.00075223186,0.0062143565,0.00003250468],"about_ca_topic_score_codex":0.0067137484,"about_ca_topic_score_gemma":0.011571957,"teacher_disagreement_score":0.008729976,"about_ca_system_score_codex":0.0009379624,"about_ca_system_score_gemma":0.0017486096,"threshold_uncertainty_score":0.029204667},"labels":[],"label_agreement":null},{"id":"W3167085085","doi":"10.5430/ijfr.v12n5p1","title":"Formal and Informal Savings Habits and Income Levels: A Case Study in Mexico","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sample (material); Logit; Demographic economics; Informal sector; Economics; Low income; Generalization; Logistic regression; Econometrics; Economic growth; Statistics","score_opus":0.05782610094834732,"score_gpt":0.36003118156862185,"score_spread":0.3022050806202745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167085085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860626,0.00012845414,0.00008231986,0.00021786988,0.0000021712874,0.000017338018,0.000045431352,0.0000015667022,0.00089865207],"genre_scores_gemma":[0.9975216,0.00067746115,0.00037226285,0.000078395875,0.000007329468,0.000042268817,0.000058594913,0.000002875601,0.0012391863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995764,0.00019859239,0.000016866657,0.000043881828,0.000039762326,0.00012435728],"domain_scores_gemma":[0.999337,0.0002974712,0.00015499361,0.0000365723,0.00006999514,0.000103899125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008304454,0.00030547354,0.0004222818,0.0011671564,0.0042755217,0.0012164592,0.0008072716,0.0013784289,0.0024613487],"category_scores_gemma":[0.0014753599,0.0002535119,0.00034852137,0.0013387608,0.0010291021,0.000728555,0.0013695733,0.0009965384,0.00015255435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002635269,0.0032698312,0.6824039,0.0003081735,0.00009869911,0.08844118,0.18574008,0.0006373372,0.0011576246,0.0039599086,0.0024241596,0.0312955],"study_design_scores_gemma":[0.000046810805,0.00078800094,0.5280759,0.00030188804,0.00013967289,0.0149525395,0.44350687,0.0015003771,0.00045885684,0.0009614975,0.009216285,0.00005134517],"about_ca_topic_score_codex":0.05853214,"about_ca_topic_score_gemma":0.11437155,"teacher_disagreement_score":0.05853214,"about_ca_system_score_codex":0.0019824028,"about_ca_system_score_gemma":0.00092417555,"threshold_uncertainty_score":0.1163829},"labels":[],"label_agreement":null},{"id":"W3170135751","doi":"10.5430/ijfr.v12n4p268","title":"Performance of Firm and Board Attributes Nexus: Using Hausman Test Analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hausman test; Business; Corporate governance; Shareholder; Proxy (statistics); Accounting; Nexus (standard); Population; Goods and services; Fixed effects model; Economics; Panel data; Econometrics; Finance; Statistics","score_opus":0.07772647039415592,"score_gpt":0.33631725485075176,"score_spread":0.25859078445659583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170135751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661124,0.0008976334,0.012239077,0.00057116174,0.0001683248,0.00032057884,0.004079856,0.00017895506,0.015431878],"genre_scores_gemma":[0.9943455,0.0001303144,0.0020654926,0.000031475334,0.00006117378,0.0001546998,0.0015914137,0.000017966046,0.0016018868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9881231,0.003832467,0.0011762254,0.0022202902,0.0034578294,0.0011901358],"domain_scores_gemma":[0.9315108,0.053518668,0.009136448,0.002483615,0.0022102308,0.0011402048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008083504,0.0005775542,0.001156712,0.003928227,0.0008046547,0.0029867936,0.0011856885,0.0009224654,0.009482332],"category_scores_gemma":[0.032250546,0.0002519601,0.00205049,0.0047961776,0.0015114833,0.0020405604,0.0013371719,0.002023837,0.0011089208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000446054,0.0005271477,0.9503962,0.0002802519,0.0017527373,0.0011626435,0.0018902181,0.0053804843,0.0005909774,0.005855072,0.003382165,0.02833614],"study_design_scores_gemma":[0.000051826974,0.0024183402,0.924935,0.000157274,0.0007544135,0.00050994207,0.006445147,0.048194267,0.0018890572,0.004950222,0.00958784,0.00010660371],"about_ca_topic_score_codex":0.0043080966,"about_ca_topic_score_gemma":0.0015931535,"teacher_disagreement_score":0.009482332,"about_ca_system_score_codex":0.00086098554,"about_ca_system_score_gemma":0.0012173854,"threshold_uncertainty_score":0.04275018},"labels":[],"label_agreement":null},{"id":"W3171846995","doi":"10.5430/ijfr.v12n4p259","title":"The Impact of Corporate Performance on Mental Accounting and Loss Aversion in Financial Decisions","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mental accounting; Loss aversion; Accounting; Business; Real estate; Affect (linguistics); Financial accounting; Finance; Actuarial science; Accounting information system; Economics; Psychology","score_opus":0.275625826064391,"score_gpt":0.5087273663348035,"score_spread":0.23310154027041252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171846995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988061,0.000030229185,0.00009277359,0.00004288124,0.000004847239,0.0000053838667,0.0000071410136,0.0000016905132,0.0010089276],"genre_scores_gemma":[0.9995747,0.000034042525,0.00013248148,0.000042856853,0.0000067731507,0.000004891189,0.000016811002,0.000001760143,0.0001856385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804854,0.0011200208,0.00009153227,0.00014478249,0.0003859449,0.00020915532],"domain_scores_gemma":[0.96095616,0.025582178,0.008045145,0.0018105798,0.0007815781,0.0028242734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028552834,0.00048670982,0.0003060166,0.00040742374,0.00030453867,0.0014761166,0.00018608235,0.0006249022,0.0018607909],"category_scores_gemma":[0.022304932,0.00019178959,0.00031237272,0.00024666943,0.0009843155,0.00066053023,0.00076478743,0.0012207656,0.00019576708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013508545,0.010261946,0.83637685,0.00027729696,0.00065171625,0.0005954599,0.0043992777,0.004182839,0.062652834,0.0025036468,0.0005307929,0.06405886],"study_design_scores_gemma":[0.000106357336,0.0026767687,0.9898811,0.000028440436,0.000103108076,0.00011013954,0.00082451385,0.0017256447,0.0029324,0.0012237598,0.00033661744,0.00005116575],"about_ca_topic_score_codex":0.0007695349,"about_ca_topic_score_gemma":0.0009491516,"teacher_disagreement_score":0.0028552834,"about_ca_system_score_codex":0.00037279032,"about_ca_system_score_gemma":0.0003327968,"threshold_uncertainty_score":0.01510036},"labels":[],"label_agreement":null},{"id":"W3172440691","doi":"10.5430/ijfr.v12n4p250","title":"Exchange Rates and Dominant Macro Fundamental","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exchange rate; Macro; Inflation (cosmology); Economics; Currency; Variance (accounting); Econometrics; Monetary economics; International Fisher effect; Differential (mechanical device); Measure (data warehouse); Real interest rate; Interest rate; Fisher hypothesis; Computer science","score_opus":0.19370634530839845,"score_gpt":0.37663453968448984,"score_spread":0.1829281943760914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172440691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606052,0.0020479592,0.014719301,0.001005944,0.00005432115,0.000018320743,0.0012931755,0.00007567581,0.020180188],"genre_scores_gemma":[0.9981212,0.00039493584,0.0006136854,0.000045344543,0.00006414174,0.000004314295,0.0002898932,0.0000073866663,0.00045899948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945575,0.00015779027,0.0000533111,0.0001306094,0.00013167436,0.00007088263],"domain_scores_gemma":[0.9916353,0.0032884623,0.0033475077,0.000667948,0.0004886136,0.0005721943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017910362,0.00034809863,0.00029901223,0.0017198119,0.00031684747,0.0021413849,0.00026242915,0.00042396237,0.0028902297],"category_scores_gemma":[0.013188633,0.00019589237,0.00024000909,0.001459123,0.00089185644,0.0025108901,0.0009789403,0.00085590227,0.0003186505],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001097257,0.00011998104,0.3507409,0.0002612587,0.0005701853,0.0008468775,0.0021871806,0.030685637,0.005194541,0.48605987,0.0051062973,0.11712994],"study_design_scores_gemma":[0.00007723709,0.00024235487,0.50679666,0.00014846763,0.00010950533,0.0015332951,0.0008931571,0.03749864,0.0020714218,0.4334548,0.017054051,0.000120342425],"about_ca_topic_score_codex":0.0005163365,"about_ca_topic_score_gemma":0.00033877237,"teacher_disagreement_score":0.0028902297,"about_ca_system_score_codex":0.00046028176,"about_ca_system_score_gemma":0.00019554971,"threshold_uncertainty_score":0.009668767},"labels":[],"label_agreement":null},{"id":"W3173280700","doi":"10.5430/ijfr.v12n5p24","title":"Tax Awareness, Taxpayers’ Perceptions and Attitudes and Tax Evasion in Informal Sector of Ekiti State, Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informal sector; Tax evasion; Tax revenue; Revenue; Government (linguistics); Nigerians; Perception; Evasion (ethics); Business; Government revenue; Oil boom; State (computer science); Indirect tax; Tax avoidance; Public economics; Tax credit; Economics; Tax reform; Psychology; Economic growth; Accounting; Political science; Macroeconomics","score_opus":0.09136801142574717,"score_gpt":0.35974919627564855,"score_spread":0.26838118484990137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173280700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934953,0.000034907458,0.000008417094,0.00004898566,0.0000013280589,0.0000020529187,0.0000035076496,1.7208262e-7,0.00055106403],"genre_scores_gemma":[0.9997714,0.000052912994,0.00000972774,0.000011360576,9.484953e-7,0.0000011200057,0.0000037726616,1.4024826e-7,0.0001485746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996476,0.00014052026,0.00003083634,0.000023011302,0.00007041935,0.00008751202],"domain_scores_gemma":[0.99798214,0.0005855204,0.00092977757,0.000058917612,0.0001677157,0.00027595586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596737,0.00012457269,0.00014789993,0.0004814473,0.00087333395,0.00092012907,0.00011596478,0.00025644104,0.0018056261],"category_scores_gemma":[0.0025949418,0.00012336117,0.00014315704,0.00034432643,0.0006256137,0.00040081772,0.00045931904,0.0006778076,0.000114161994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055821292,0.00030396855,0.9729542,0.000034171295,0.000016067857,0.00032966238,0.017611152,0.000056595218,0.00032744228,0.00047619862,0.00015086718,0.007683719],"study_design_scores_gemma":[0.000005131476,0.00011582133,0.94484663,0.000089166584,0.000020283424,0.00028116105,0.053041156,0.00025058,0.0001476469,0.00018628984,0.0010072053,0.00000903023],"about_ca_topic_score_codex":0.011338904,"about_ca_topic_score_gemma":0.018127382,"teacher_disagreement_score":0.011338904,"about_ca_system_score_codex":0.00058504095,"about_ca_system_score_gemma":0.0007472026,"threshold_uncertainty_score":0.022545755},"labels":[],"label_agreement":null},{"id":"W3174134225","doi":"10.5430/ijfr.v12n4p168","title":"Human Capital Reporting (HCR) and Shareholder Value Maximization in Listed Manufacturing Firms in Nigeria","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Earnings per share; Earnings; Share price; Descriptive statistics; Shareholder; Quantile regression; Price–earnings ratio; Human capital; Business; Market share; Human resources; Value (mathematics); Index (typography); Economics; Econometrics; Accounting; Finance; Statistics; Corporate governance; Economic growth; Management","score_opus":0.06433093616912094,"score_gpt":0.3441958052156855,"score_spread":0.27986486904656455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174134225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987961,0.00022332818,0.000026980184,0.0001890365,0.0000025362547,0.0000023466341,0.00003512968,6.076292e-7,0.0007239388],"genre_scores_gemma":[0.9998123,0.00007944255,0.000009875841,0.000009734968,0.0000025156519,5.6692414e-7,0.000012807752,1.2077673e-7,0.00007272609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993242,0.00023671542,0.000066001914,0.000080070975,0.00011670007,0.0001763418],"domain_scores_gemma":[0.9905984,0.0029354445,0.005622007,0.0001350576,0.00030637777,0.000402799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011287573,0.00010146028,0.00014726666,0.0004751015,0.00033684986,0.0010103885,0.00022554296,0.00028057455,0.0010134894],"category_scores_gemma":[0.005022682,0.00010816419,0.00013322422,0.0007459867,0.00050521665,0.00062655745,0.0006185094,0.0005149132,0.000084978376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045995406,0.000078223515,0.99386394,0.000017593435,0.000016384658,0.0002342284,0.000570652,0.00033472633,0.000112362686,0.0005153226,0.00011737959,0.004093164],"study_design_scores_gemma":[0.000002150577,0.00005981713,0.9959389,0.000027828666,0.000010014079,0.000099541256,0.002335349,0.0008620241,0.00012200273,0.00025312364,0.00028525782,0.00000398399],"about_ca_topic_score_codex":0.0100347465,"about_ca_topic_score_gemma":0.012800722,"teacher_disagreement_score":0.0100347465,"about_ca_system_score_codex":0.0008135456,"about_ca_system_score_gemma":0.00068547536,"threshold_uncertainty_score":0.019952655},"labels":[],"label_agreement":null},{"id":"W3175366149","doi":"10.5430/ijfr.v12n4p277","title":"Compliance With International Financial Reporting Standards and Value Relevance of Accounting Information in South Africa","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"International Financial Reporting Standards; Accounting; Business; Relevance (law); Stock exchange; Real estate; Compliance (psychology); Accounting information system; Sample (material); Accounting standard; Financial accounting; Finance","score_opus":0.03844383042016985,"score_gpt":0.3264086418394701,"score_spread":0.28796481141930025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175366149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973763,0.00032644716,0.00006265669,0.00031751095,0.0000035050364,0.000010314861,0.00006484216,9.569989e-7,0.0018375958],"genre_scores_gemma":[0.9996045,0.00016981058,0.000037199094,0.000010828847,0.0000027158615,0.0000029836779,0.000033476386,5.294372e-7,0.00013793829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853957,0.00045676524,0.00020824392,0.00012838897,0.00040970437,0.000257421],"domain_scores_gemma":[0.9847115,0.0022571532,0.011510137,0.0003147796,0.000841274,0.00036505517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018134828,0.00014517448,0.00012692969,0.0017250781,0.00034895804,0.0014561969,0.00018430525,0.00022140185,0.0014403852],"category_scores_gemma":[0.01281097,0.00013262192,0.00013040495,0.002566171,0.00054497086,0.0011638158,0.00085462694,0.0003566191,0.000101651254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003924581,0.000049197162,0.97581494,0.00008818753,0.000027625996,0.00044741953,0.006389686,0.00020807318,0.0006140179,0.0015533785,0.00024339631,0.0145248715],"study_design_scores_gemma":[0.0000018883345,0.000028203356,0.99178654,0.00008404355,0.000009988878,0.00019580689,0.0059106518,0.0002124487,0.00021471221,0.00017324432,0.0013759673,0.0000063966877],"about_ca_topic_score_codex":0.008978926,"about_ca_topic_score_gemma":0.00755071,"teacher_disagreement_score":0.008978926,"about_ca_system_score_codex":0.00093700207,"about_ca_system_score_gemma":0.0011967261,"threshold_uncertainty_score":0.01785332},"labels":[],"label_agreement":null},{"id":"W3176986080","doi":"10.5430/ijfr.v12n5p10","title":"An Analysis of the Aspects Hampering Informal Sector Tax Administration: Case of the Zimbabwe Revenue Authority","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Informal sector; Revenue; Accountability; Business; Tax revenue; Government revenue; Public sector; Government (linguistics); Public economics; Economics; Finance; Market economy; Economy; Law; Political science","score_opus":0.10071524560355716,"score_gpt":0.370840971066186,"score_spread":0.27012572546262886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176986080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97813624,0.00065395434,0.00037063155,0.0028937315,0.000020238678,0.00006730579,0.000027945229,0.000003831011,0.017826192],"genre_scores_gemma":[0.9940801,0.0008207795,0.00019289956,0.00015945426,0.000007921154,0.000012273697,0.0000137372,0.0000028785978,0.004709757],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99865156,0.00040349606,0.000044585337,0.000049649203,0.00022911586,0.00062152813],"domain_scores_gemma":[0.99858737,0.0006167241,0.0003400515,0.000042526128,0.00020970336,0.00020358902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010092503,0.00030388928,0.0002025699,0.0015861237,0.009604117,0.004064646,0.0010261793,0.0015393434,0.004878729],"category_scores_gemma":[0.0029026072,0.00027193106,0.00027778719,0.0017809998,0.002736277,0.001916032,0.0023756758,0.0018268123,0.00035048337],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001456368,0.00045466883,0.13552131,0.00071610673,0.000057943962,0.18169872,0.49457762,0.0025460613,0.0061381967,0.1202526,0.007625912,0.05026526],"study_design_scores_gemma":[0.000012886491,0.00007955391,0.07754702,0.00064427365,0.00003722974,0.0071572275,0.82997674,0.0024289198,0.0011881221,0.0037709281,0.07711678,0.000040350118],"about_ca_topic_score_codex":0.09808659,"about_ca_topic_score_gemma":0.19543585,"teacher_disagreement_score":0.09808659,"about_ca_system_score_codex":0.008466529,"about_ca_system_score_gemma":0.0044939895,"threshold_uncertainty_score":0.19503134},"labels":[],"label_agreement":null},{"id":"W3183509505","doi":"10.5430/ijfr.v12n5p58","title":"Combining Financial Information and Corporate Social Responsibility Related Information for Characterizing Corporate Disclosure: Some Insights From Moroccan Context","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate social responsibility; Predictability; Context (archaeology); Content analysis; Accounting; Business; Corporate governance; Finance; Public relations; Political science; Sociology","score_opus":0.04237536033229147,"score_gpt":0.2852762990573078,"score_spread":0.2429009387250163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183509505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651706,0.0005483159,0.00027033113,0.00035628473,0.000004463017,0.000006216617,0.00006729133,0.0000011984002,0.0022287844],"genre_scores_gemma":[0.9995535,0.0001387913,0.00013238065,0.0000147560295,0.000006624723,0.0000012503557,0.000039885952,4.0754125e-7,0.00011227053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999318,0.00034037887,0.000035019857,0.000055981316,0.00013067028,0.00011998002],"domain_scores_gemma":[0.9967096,0.0019310948,0.0006632093,0.00014093076,0.00043861862,0.00011650446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001608562,0.00023514523,0.00022133639,0.0021691024,0.0008451077,0.0014487671,0.00018187691,0.00025610067,0.0008851494],"category_scores_gemma":[0.0041425084,0.00007232272,0.00019737858,0.0015235983,0.00047621212,0.00082597224,0.0008525999,0.00031919172,0.00006661163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103389764,0.000078314,0.9432439,0.00008832573,0.00006741502,0.0012983476,0.011089654,0.0007393554,0.001250107,0.00400431,0.00038234322,0.0376545],"study_design_scores_gemma":[0.0000046462974,0.00006170235,0.9665601,0.00013460139,0.000072739254,0.00031592816,0.0196612,0.0060464265,0.00076613703,0.0019664685,0.004391192,0.000018863486],"about_ca_topic_score_codex":0.024241146,"about_ca_topic_score_gemma":0.030198278,"teacher_disagreement_score":0.024241146,"about_ca_system_score_codex":0.0009368468,"about_ca_system_score_gemma":0.00060603645,"threshold_uncertainty_score":0.04820007},"labels":[],"label_agreement":null},{"id":"W3184044206","doi":"10.5430/ijfr.v12n5p41","title":"Bank Credit Risk Rating Process: Is There a Change With the 2007-09 Crisis?","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit rating; Logistic regression; Order (exchange); Credit risk; Bond credit rating; Ordered logit; Actuarial science; Process (computing); Econometrics; Logit; Regression analysis; Business; Economics; Statistics; Computer science; Credit reference; Finance; Mathematics","score_opus":0.0934714772391468,"score_gpt":0.350801781767602,"score_spread":0.25733030452845523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184044206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951265,0.00016604929,0.0007618977,0.00076811464,0.000013243205,0.00001733365,0.00035926074,0.000015437376,0.002772096],"genre_scores_gemma":[0.998606,0.00007772308,0.00021858742,0.000058548347,0.000013702973,0.0000065225545,0.00034666012,0.0000043817054,0.0006680073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983948,0.00056217064,0.0001552402,0.0003085024,0.0004060594,0.00017323632],"domain_scores_gemma":[0.98795134,0.0035439814,0.0054823295,0.00062956,0.0019959577,0.000396719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036789093,0.00012732828,0.00031596364,0.0007062306,0.00026700736,0.0013623448,0.0003359173,0.000660995,0.0015818072],"category_scores_gemma":[0.015045398,0.00012845389,0.0002577114,0.0013621658,0.00047861517,0.0010863743,0.00045439196,0.0010222713,0.00074406335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002353083,0.00013564833,0.96735716,0.000029814411,0.000033892615,0.00014187001,0.0018814442,0.0017069916,0.0005747901,0.0008870412,0.0016004199,0.025415607],"study_design_scores_gemma":[0.0000037563264,0.00006592505,0.99389726,0.00001014267,0.000009319447,0.000081097314,0.0010181782,0.0035202622,0.00029131497,0.00017244456,0.00091866247,0.0000115141165],"about_ca_topic_score_codex":0.0115878545,"about_ca_topic_score_gemma":0.011187169,"teacher_disagreement_score":0.0115878545,"about_ca_system_score_codex":0.0006123404,"about_ca_system_score_gemma":0.00036293955,"threshold_uncertainty_score":0.023040831},"labels":[],"label_agreement":null},{"id":"W3184626482","doi":"10.5430/ijfr.v12n5p71","title":"Can Multistep Nonparametric Regressions Beat Historical Average in Predicting Excess Stock Returns?","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Predictive power; Ordinary least squares; Endogeneity; Statistics; Nonparametric statistics; Stock (firearms); Mathematics; Semiparametric model; Economics","score_opus":0.2983962359724753,"score_gpt":0.5129138492414356,"score_spread":0.2145176132689603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184626482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6040317,0.0066810423,0.37539053,0.003127338,0.000523236,0.00011054924,0.0016294875,0.0018818588,0.006624241],"genre_scores_gemma":[0.96906674,0.0009729276,0.02692211,0.00028015557,0.00013082566,0.000030499517,0.0008063454,0.00007073019,0.0017197374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982498,0.00091155164,0.00008803928,0.00037095998,0.00024598392,0.0001335547],"domain_scores_gemma":[0.98648006,0.009489038,0.001493404,0.0012414202,0.0010362059,0.00025996528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007449691,0.0010433492,0.0016524643,0.001531248,0.00031800804,0.0020860417,0.0017878193,0.0012663889,0.002172301],"category_scores_gemma":[0.030032387,0.00041270076,0.001087593,0.0017660141,0.0005910627,0.00467128,0.0010040207,0.001914817,0.001432716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000891529,0.000495147,0.2593716,0.0003924879,0.0009841471,0.00030820133,0.00033264607,0.3935341,0.0016250657,0.010463026,0.0052510872,0.32635102],"study_design_scores_gemma":[0.000031031846,0.00024379708,0.037707955,0.000100686644,0.00014824033,0.00013931935,0.00019005866,0.94690794,0.00081963313,0.011456088,0.002178565,0.00007661421],"about_ca_topic_score_codex":0.009422313,"about_ca_topic_score_gemma":0.010806942,"teacher_disagreement_score":0.009422313,"about_ca_system_score_codex":0.00044474885,"about_ca_system_score_gemma":0.00093211234,"threshold_uncertainty_score":0.039398193},"labels":[],"label_agreement":null},{"id":"W3185083363","doi":"10.5430/ijfr.v12n4p294","title":"Crowdfunding: New Financing Tool for Social and Solidarity Economy in Morocco","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Solidarity; Citizen journalism; Carry (investment); Finance; Solidarity economy; Social solidarity; Business; Economics; Economic system; Political science; Sociology; Politics","score_opus":0.1598431444963104,"score_gpt":0.39353056083903964,"score_spread":0.23368741634272924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185083363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6875655,0.0075689126,0.14833024,0.023057168,0.0005410421,0.00083668885,0.002128967,0.0012632329,0.12870821],"genre_scores_gemma":[0.96785516,0.0009052215,0.024301065,0.00013399724,0.00012296233,0.00015152994,0.00019945986,0.000023888013,0.0063066348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99907863,0.00048731585,0.000033839653,0.0000643903,0.00015892964,0.00017694088],"domain_scores_gemma":[0.99841046,0.00071445835,0.00024408542,0.00012071528,0.00024571468,0.00026452477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025785877,0.00029637784,0.0002622223,0.0020066977,0.0013982288,0.0025751132,0.00063428626,0.00085745205,0.0049878964],"category_scores_gemma":[0.0045677805,0.00012606436,0.0002873413,0.0012287556,0.00073054514,0.0020467464,0.0017133948,0.0005260121,0.00029360564],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051532395,0.00033310548,0.060182266,0.00058317994,0.000096164105,0.003012707,0.006063904,0.031207534,0.0036366668,0.5091064,0.035076417,0.3501863],"study_design_scores_gemma":[0.0003549264,0.0006121745,0.084144644,0.0011951472,0.00030838454,0.0023268042,0.010416853,0.2629097,0.006018551,0.18970709,0.44174916,0.0002566288],"about_ca_topic_score_codex":0.014048857,"about_ca_topic_score_gemma":0.0102792885,"teacher_disagreement_score":0.014048857,"about_ca_system_score_codex":0.0030875513,"about_ca_system_score_gemma":0.0027917323,"threshold_uncertainty_score":0.027934134},"labels":[],"label_agreement":null},{"id":"W3186740915","doi":"10.5430/ijfr.v12n4p304","title":"Budgetary Systems in Organisations: An Anatomy of Management Views, Employees’ Behaviour and Productivity Trend of 21st Century Firms in a Tropical Nation","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autocracy; Productivity; Panacea (medicine); Economics; Prosperity; Humanism; Citizen journalism; Work (physics); Assertion; Business; Democracy; Economic growth; Political science; Politics","score_opus":0.03796979025927324,"score_gpt":0.3306635708873562,"score_spread":0.292693780628083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186740915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97234476,0.0018575076,0.00040458335,0.003541721,0.000023813653,0.000007660104,0.000022913904,0.0000043491636,0.021792732],"genre_scores_gemma":[0.998243,0.0006252327,0.00011873242,0.00009477835,0.000008945898,0.000002895149,0.0000058994838,0.0000012121977,0.0008993983],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9994454,0.00034160085,0.000019313105,0.000036013636,0.000064106905,0.00009363631],"domain_scores_gemma":[0.9987795,0.00043207445,0.00045869022,0.000032109823,0.00011665938,0.00018107923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075715804,0.00007839915,0.00006854532,0.0010307992,0.0017076535,0.0028510916,0.00020902493,0.00050086674,0.001461142],"category_scores_gemma":[0.0016004735,0.000089346184,0.000093181734,0.0011767027,0.0032057667,0.0022514209,0.0011583704,0.00082193624,0.00007776402],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006498244,0.0001318728,0.190945,0.00013436635,0.000013824442,0.0007401702,0.7057621,0.0001831323,0.0018670162,0.06421175,0.0021574628,0.033788312],"study_design_scores_gemma":[0.0000028695506,0.0000777431,0.38764796,0.00024438713,0.000009387178,0.0005941647,0.5719313,0.00024446734,0.0002220604,0.007149829,0.031848185,0.00002762826],"about_ca_topic_score_codex":0.008184216,"about_ca_topic_score_gemma":0.011479992,"teacher_disagreement_score":0.008184216,"about_ca_system_score_codex":0.0017155405,"about_ca_system_score_gemma":0.00094481884,"threshold_uncertainty_score":0.0162732},"labels":[],"label_agreement":null},{"id":"W3195390825","doi":"10.5430/ijfr.v12n5p80","title":"Exploring the Influence of Commodity Prices, Real Exchange Rate and Trade Openness on Economic Performance in an Emerging Country","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Openness to experience; Commodity; Error correction model; Exchange rate; Disequilibrium; Monetary economics; International economics; Macroeconomics; Econometrics; Market economy","score_opus":0.14978850728191626,"score_gpt":0.3276678311545284,"score_spread":0.17787932387261216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195390825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982578,0.0001420554,0.00006195905,0.00013771317,0.000003548766,0.0000022277397,0.000049319216,7.1021225e-7,0.001344654],"genre_scores_gemma":[0.99951375,0.00021544921,0.000038086426,0.000007531076,0.0000036420959,0.0000012985624,0.000047358433,5.1616064e-7,0.00017234868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983084,0.000062558494,0.000012087704,0.00002456135,0.000020124253,0.000049870654],"domain_scores_gemma":[0.99884987,0.00043102575,0.00045755558,0.00004481931,0.00010393627,0.00011278022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006151426,0.00016593274,0.00013969213,0.00047935228,0.00024690825,0.0010252729,0.0001064032,0.000158007,0.00083251996],"category_scores_gemma":[0.0020427618,0.000059961476,0.00022038961,0.00086604286,0.0004106843,0.00060986733,0.0005629972,0.00046812836,0.000099918114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014946879,0.000072133356,0.9826984,0.000037321857,0.00009212835,0.00061135273,0.0017087804,0.0015863302,0.0007723735,0.0020366146,0.00021204307,0.0100230435],"study_design_scores_gemma":[0.0000039259203,0.00005884291,0.9941896,0.000021956555,0.0000453919,0.000053445772,0.0027104095,0.0015717406,0.0002622612,0.00039079602,0.0006865185,0.000005143294],"about_ca_topic_score_codex":0.0106920535,"about_ca_topic_score_gemma":0.013950291,"teacher_disagreement_score":0.0106920535,"about_ca_system_score_codex":0.00042478682,"about_ca_system_score_gemma":0.0006713361,"threshold_uncertainty_score":0.021259665},"labels":[],"label_agreement":null},{"id":"W3196031192","doi":"10.5430/ijfr.v12n5p89","title":"Service Quality Strategy Challenges for Managers and Frontline Employees in the South African Post Office in the North West Province","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Strategy implementation; Contingency theory; Contingency plan; Quality (philosophy); Service (business); Strategic planning; Marketing; Service quality; Total quality management; Contingency; Public relations; Qualitative research; Process (computing); Resource (disambiguation); Process management; Qualitative property; Knowledge management; Management; Computer science; Political science","score_opus":0.13677883066980603,"score_gpt":0.3735502181316854,"score_spread":0.23677138746187934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196031192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972324,0.00014389123,0.000052268297,0.00128723,0.00000865135,0.000014217355,0.000007791932,0.0000020811967,0.0012514662],"genre_scores_gemma":[0.99803704,0.00028623713,0.00014537286,0.0002971645,0.0000054672496,0.00001583636,0.0000074477075,0.000002158718,0.0012033302],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99794143,0.0005766029,0.00007790734,0.00009829119,0.0003067661,0.0009988701],"domain_scores_gemma":[0.99719965,0.00077466987,0.00068098726,0.000051722727,0.00028067429,0.0010122169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015610772,0.0002048205,0.0002360721,0.00046034207,0.005460339,0.0031872506,0.0005897105,0.00089170894,0.0037031055],"category_scores_gemma":[0.003463325,0.00031015716,0.00016044787,0.00095131714,0.001963922,0.0011950794,0.0017865151,0.0011800909,0.00025302148],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015328459,0.00035577372,0.19624889,0.00057710364,0.000027579403,0.007500413,0.7248903,0.00020410823,0.0036557233,0.0033536167,0.0045955745,0.0584376],"study_design_scores_gemma":[0.0000045096454,0.00014188497,0.05790142,0.00010415907,0.0000064888686,0.00039739397,0.9328004,0.00010394117,0.00017967391,0.0001915364,0.00815702,0.000011552113],"about_ca_topic_score_codex":0.04638665,"about_ca_topic_score_gemma":0.11525164,"teacher_disagreement_score":0.04638665,"about_ca_system_score_codex":0.005437516,"about_ca_system_score_gemma":0.010256649,"threshold_uncertainty_score":0.0922333},"labels":[],"label_agreement":null},{"id":"W3197850669","doi":"10.5430/ijfr.v12n5p151","title":"Are There Gender Differences in Sustainable Entrepreneurship Indicators Amongst SMEs in South Africa? Application of MANOVA","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Mpumalanga","keywords":"Multivariate analysis of variance; Entrepreneurship; Sustainability; Variance (accounting); Stratified sampling; Diversity (politics); Microfinance; Multivariate analysis; Relevance (law); Demographic economics; Face (sociological concept); Economics; Economic growth; Business; Marketing; Sociology; Political science; Accounting; Social science; Finance; Statistics","score_opus":0.061817003320579475,"score_gpt":0.3185275526592046,"score_spread":0.25671054933862514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197850669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978523,0.00017317405,0.0006301281,0.000110641085,0.000012156859,0.000023398125,0.00007889348,0.0000021827188,0.001117039],"genre_scores_gemma":[0.9994696,0.00005459999,0.00034162865,0.000008967806,0.0000034687716,0.000023194996,0.000020226114,0.000001127308,0.000077252305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99687505,0.001893961,0.00022879007,0.00027632483,0.00029480955,0.0004310308],"domain_scores_gemma":[0.99052775,0.0066571785,0.0016950876,0.00040865847,0.00038286223,0.00032860236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040697027,0.0003146839,0.00046207782,0.001809477,0.0007211074,0.0013872974,0.00032017796,0.00029287735,0.0031326073],"category_scores_gemma":[0.0136086885,0.00021973497,0.0007341988,0.0024133376,0.0011587037,0.0009979854,0.0013244528,0.0004961499,0.00014923896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016704573,0.000100721234,0.95081097,0.00012222817,0.00018511801,0.0002594477,0.023202535,0.00021440956,0.00087401085,0.001645382,0.00013787708,0.022280253],"study_design_scores_gemma":[0.000006158902,0.00040629477,0.9441698,0.00012604214,0.00012261161,0.0002002159,0.050652623,0.0012735853,0.0004407799,0.001026926,0.0015567899,0.000018103505],"about_ca_topic_score_codex":0.006960074,"about_ca_topic_score_gemma":0.007674153,"teacher_disagreement_score":0.006960074,"about_ca_system_score_codex":0.0005247039,"about_ca_system_score_gemma":0.0010957364,"threshold_uncertainty_score":0.02152288},"labels":[],"label_agreement":null},{"id":"W3198108063","doi":"10.5430/ijfr.v12n5p141","title":"FDI, Stock Market Development and Institutional Quality: An African Perspective","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Expropriation; Foreign direct investment; Stock (firearms); Business; Stock market; Quality (philosophy); Panel data; International economics; Random effects model; Monetary economics; Economics; Market economy; Macroeconomics; Econometrics","score_opus":0.1028176610446442,"score_gpt":0.40164242450108084,"score_spread":0.29882476345643666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198108063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847734,0.0038288422,0.0011081055,0.0017201616,0.000018295794,0.00001731486,0.00033659957,0.000004435629,0.008192939],"genre_scores_gemma":[0.99851125,0.0008292941,0.00022732391,0.000044146946,0.000014263202,0.0000025889403,0.00005688628,6.1598314e-7,0.00031351854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968016,0.00011274025,0.000024078987,0.000039988205,0.000051522362,0.00009152938],"domain_scores_gemma":[0.99539834,0.0018444351,0.0020471981,0.00011015584,0.0002800476,0.00031977164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009988506,0.00028038013,0.00028642995,0.0021514865,0.00036946405,0.0014477604,0.00016873206,0.00032854543,0.0033825808],"category_scores_gemma":[0.0038719226,0.0001347961,0.00038029454,0.0022841382,0.0009735535,0.0017531068,0.0007908051,0.0006618655,0.000098544384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005209095,0.00007177645,0.9752442,0.00007276499,0.00015821517,0.00031612164,0.0004261444,0.00097338064,0.00035234066,0.0109002795,0.00019096464,0.011241548],"study_design_scores_gemma":[0.000010560033,0.000095476265,0.9853785,0.00019595634,0.0001893604,0.0002147071,0.0021831498,0.004200281,0.00076272886,0.003694355,0.0030596259,0.000015369798],"about_ca_topic_score_codex":0.010150821,"about_ca_topic_score_gemma":0.0099038,"teacher_disagreement_score":0.010150821,"about_ca_system_score_codex":0.00063964666,"about_ca_system_score_gemma":0.00068679097,"threshold_uncertainty_score":0.020183444},"labels":[],"label_agreement":null},{"id":"W3198615158","doi":"10.5430/ijfr.v12n5p130","title":"Investigating if the Financial Markets Performance Affects the Shadow Economy: Additional Evidence From EU Countries","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shadow (psychology); Economics; Informal sector; Economy; Unemployment; Per capita; Market capitalization; Monetary economics; Macroeconomics; Market economy; Stock market","score_opus":0.10685601995733447,"score_gpt":0.3281208576472855,"score_spread":0.22126483768995103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198615158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930791,0.0008597505,0.00029152964,0.00023902283,0.000014097809,0.0000103251405,0.00092885917,0.0000048318066,0.0045724823],"genre_scores_gemma":[0.99778545,0.00040270307,0.000117623684,0.00009125437,0.000011653832,0.000004411811,0.0012851164,0.0000033687008,0.0002983943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989832,0.0003983036,0.0001249851,0.00016890676,0.00015031146,0.00017418867],"domain_scores_gemma":[0.99048376,0.003336762,0.0039014753,0.00078163756,0.0011229339,0.00037353017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002436042,0.00018437185,0.00044264275,0.0012779156,0.00039071168,0.0014122435,0.00028250422,0.00048897,0.0028240061],"category_scores_gemma":[0.005691652,0.00012199741,0.00052367634,0.0023719063,0.00065001624,0.0008774782,0.0013205557,0.0005266992,0.00040425578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024822282,0.00017465638,0.97532517,0.00019710093,0.0004146758,0.00079466606,0.0013824966,0.0011509807,0.00035348075,0.0042050383,0.0019674094,0.013786074],"study_design_scores_gemma":[0.000015235903,0.00008165974,0.9920081,0.00012828724,0.00012348939,0.00018545648,0.0023213807,0.0006232968,0.00030048747,0.00036450571,0.0038386087,0.000009513685],"about_ca_topic_score_codex":0.007492021,"about_ca_topic_score_gemma":0.006525018,"teacher_disagreement_score":0.007492021,"about_ca_system_score_codex":0.00026070318,"about_ca_system_score_gemma":0.0003622216,"threshold_uncertainty_score":0.01489687},"labels":[],"label_agreement":null},{"id":"W3198903714","doi":"10.5430/ijfr.v12n5p104","title":"Fractal Markets, Frontiers, and Factors","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fractal; Stock (firearms); Economics; Financial market; Financial economics; Stock market; Efficient-market hypothesis; Econometrics; Market system; Capital asset pricing model; Asset (computer security); Microeconomics; Computer science; Mathematics; Finance; Geography","score_opus":0.06305636422187891,"score_gpt":0.3109680162499527,"score_spread":0.24791165202807378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198903714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3228151,0.010807274,0.5373216,0.008387235,0.00045057412,0.000065581844,0.0003705721,0.00032365334,0.11945839],"genre_scores_gemma":[0.9589327,0.0023874089,0.029227013,0.0003196463,0.0004533698,0.0000479509,0.0000921973,0.000040235864,0.008499615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999788,0.00004979642,0.000009942668,0.000045549707,0.00006920593,0.00003757265],"domain_scores_gemma":[0.9986652,0.0005997101,0.00023263633,0.00015834384,0.00020013197,0.00014401553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072623795,0.000339556,0.00047862198,0.0016243515,0.00052648236,0.0019488911,0.00040893388,0.00077896327,0.0028606006],"category_scores_gemma":[0.0027070271,0.00014868104,0.000577169,0.000624353,0.002589229,0.0034925665,0.0009962636,0.0008472634,0.00020342562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003909346,0.0000025377828,0.00016734829,0.0000140603315,0.0000034602465,0.00003190979,0.000052783318,0.0028021303,0.00019556437,0.99423593,0.0003924853,0.0020979934],"study_design_scores_gemma":[0.000004170065,0.000010252495,0.00028052938,0.000008244422,0.000002569323,0.00007162063,0.00002968752,0.012910821,0.00008030574,0.98219705,0.0043993643,0.0000053233853],"about_ca_topic_score_codex":0.0008019376,"about_ca_topic_score_gemma":0.00043165084,"teacher_disagreement_score":0.0028606006,"about_ca_system_score_codex":0.0007474989,"about_ca_system_score_gemma":0.00033491434,"threshold_uncertainty_score":0.0095697045},"labels":[],"label_agreement":null},{"id":"W3205154864","doi":"10.5430/ijfr.v12n5p194","title":"Bank Credit Risk Rating Process: Is There a Difference Between Agencies?","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit rating; Bond credit rating; Market liquidity; Credit risk; Actuarial science; Logistic regression; Business; Ordered logit; Agency (philosophy); Econometrics; Earnings; Economics; Credit reference; Accounting; Statistics; Finance; Mathematics","score_opus":0.11571148632798886,"score_gpt":0.36958777978603696,"score_spread":0.2538762934580481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205154864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93972903,0.0014578804,0.023791948,0.0025854919,0.00020462924,0.00056265935,0.0008175262,0.00022909761,0.030621609],"genre_scores_gemma":[0.99046856,0.0002667179,0.006943183,0.00024289316,0.000060612034,0.000120171484,0.00029392485,0.000038056096,0.0015660535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.935338,0.035763368,0.004739217,0.004283725,0.018231735,0.0016439056],"domain_scores_gemma":[0.851134,0.05587253,0.031831637,0.014632367,0.04366633,0.0028631126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04185801,0.00021562722,0.00071398314,0.0021868723,0.0009888484,0.0043070926,0.00094905886,0.00074867834,0.0024007566],"category_scores_gemma":[0.15198465,0.00027201505,0.0006647719,0.0032955285,0.0013152023,0.0025755665,0.0015428418,0.0012415573,0.001804182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007836166,0.00034160735,0.7667162,0.00019890173,0.00026411118,0.00007418662,0.00837648,0.0015275528,0.0012862143,0.009633387,0.0037565795,0.20704105],"study_design_scores_gemma":[0.00008656956,0.00072715885,0.9684161,0.0001570189,0.00010734732,0.0001931675,0.0059295204,0.006891769,0.001835576,0.002661957,0.0128815435,0.00011223091],"about_ca_topic_score_codex":0.00983194,"about_ca_topic_score_gemma":0.009477299,"teacher_disagreement_score":0.04185801,"about_ca_system_score_codex":0.0016489491,"about_ca_system_score_gemma":0.0015860293,"threshold_uncertainty_score":0.22136891},"labels":[],"label_agreement":null},{"id":"W3205547503","doi":"10.5430/ijfr.v12n5p166","title":"Modeling the Exchange Rate Volatility Using the BRICS GARCH-type Models","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Univariate; Volatility (finance); Leverage effect; Econometrics; Exchange rate; Leverage (statistics); Economics; Mathematics; Statistics; Monetary economics; Multivariate statistics","score_opus":0.3274580404991095,"score_gpt":0.3934923388711034,"score_spread":0.06603429837199393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205547503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50550455,0.0028046004,0.46865624,0.0018078734,0.00030375627,0.00016952468,0.0017609783,0.0010571785,0.01793535],"genre_scores_gemma":[0.9690653,0.00134677,0.022195326,0.00010970762,0.00017045537,0.000092960625,0.0007631649,0.000061255356,0.0061949673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989856,0.0005113052,0.000044752444,0.00016876514,0.00016203137,0.00012742003],"domain_scores_gemma":[0.9984579,0.0009936754,0.0002895847,0.000100641446,0.00012344861,0.000034794786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026589923,0.0010192813,0.0008926083,0.0011628795,0.00030871516,0.0021520262,0.0015384217,0.0015083776,0.0018404408],"category_scores_gemma":[0.0054850043,0.00047242397,0.0013724184,0.001428471,0.0004277454,0.0015294601,0.00060097955,0.0015138418,0.00051188667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000711004,0.000070059,0.009786933,0.00007119473,0.0002623418,0.00018650571,0.00010474601,0.93303716,0.00065423193,0.040203255,0.0012811457,0.01427124],"study_design_scores_gemma":[0.000014157411,0.000041958265,0.002144957,0.000015591251,0.000055365377,0.00003999644,0.000024413455,0.9879006,0.00024069814,0.008677107,0.0008268312,0.000018333025],"about_ca_topic_score_codex":0.011918885,"about_ca_topic_score_gemma":0.00706214,"teacher_disagreement_score":0.011918885,"about_ca_system_score_codex":0.00074539724,"about_ca_system_score_gemma":0.00075992936,"threshold_uncertainty_score":0.023698986},"labels":[],"label_agreement":null},{"id":"W3206324410","doi":"10.5430/ijfr.v12n5p211","title":"What Supports Startups Need From Science and Technology Parks","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Viewpoints; Maturity (psychological); Business; Window of opportunity; Marketing; Computer science; Process management; Psychology","score_opus":0.036673593141437213,"score_gpt":0.3428548875204905,"score_spread":0.3061812943790533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206324410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948441,0.00045110352,0.0007415576,0.009340421,0.00007822566,0.000040574698,0.00011837513,0.00004732976,0.040741354],"genre_scores_gemma":[0.99668115,0.00020680543,0.00044836168,0.0005373791,0.00003164316,0.000012337633,0.00008190284,0.000009533947,0.0019908086],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980034,0.0007159384,0.000066125474,0.00012287573,0.00036973786,0.0007219094],"domain_scores_gemma":[0.9859984,0.0024870206,0.0015968595,0.00021854641,0.0014424957,0.008256693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017720314,0.00020660736,0.0002095232,0.001086469,0.002488875,0.005894035,0.0006469233,0.0012805515,0.013083758],"category_scores_gemma":[0.009966307,0.00014011703,0.0001728166,0.00092237565,0.0010585069,0.0033581962,0.0029175638,0.0010586632,0.0012753687],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040099258,0.0010901594,0.6419083,0.0007719268,0.00012954208,0.004231081,0.09166368,0.0005870972,0.0049951687,0.02420744,0.040729914,0.18928467],"study_design_scores_gemma":[0.00005031324,0.00040967364,0.42787826,0.00063896115,0.00007371521,0.0009842803,0.4419344,0.0010113528,0.001402432,0.008009864,0.117508695,0.00009804564],"about_ca_topic_score_codex":0.0026764353,"about_ca_topic_score_gemma":0.0069475123,"teacher_disagreement_score":0.013083758,"about_ca_system_score_codex":0.0011140184,"about_ca_system_score_gemma":0.003225471,"threshold_uncertainty_score":0.04376954},"labels":[],"label_agreement":null},{"id":"W3207319430","doi":"10.5430/ijfr.v12n5p180","title":"Net-Zero Emissions With Renewable Energy Certificates: A Public Policy for a Massachusetts Municipal Light Plant","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Emissions trading; Business; Environmental economics; Greenhouse gas; Climate change mitigation; Feed-in tariff; Energy policy; Economics; Finance; Natural resource economics; Engineering","score_opus":0.08004914991879714,"score_gpt":0.35798778125019404,"score_spread":0.2779386313313969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207319430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6644508,0.0014917556,0.0017385563,0.23243406,0.00035180693,0.00028018124,0.00023369267,0.0000935778,0.09892548],"genre_scores_gemma":[0.9214869,0.0009219566,0.001301286,0.015348749,0.00024310424,0.00014276282,0.00009435416,0.00001592389,0.06044493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978277,0.0005198828,0.000070557784,0.00019171729,0.0006430394,0.0007470671],"domain_scores_gemma":[0.99681735,0.001689465,0.00043622387,0.00008184594,0.0004360646,0.00053894724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00365949,0.0002450174,0.00017583693,0.0005279613,0.0097298995,0.006215767,0.0016102347,0.008792887,0.0074091484],"category_scores_gemma":[0.0072394433,0.00036302017,0.00041826547,0.00063399674,0.0022615562,0.002952665,0.0028088388,0.00427753,0.00050332333],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075644755,0.0021149078,0.060738422,0.0006945645,0.00009520567,0.038367383,0.033736367,0.011515137,0.022938512,0.612133,0.13823101,0.07867903],"study_design_scores_gemma":[0.00050917803,0.0017214654,0.13226837,0.0005452773,0.00019244594,0.0015258881,0.08245539,0.013119162,0.010806714,0.034273837,0.7222646,0.00031766546],"about_ca_topic_score_codex":0.19581799,"about_ca_topic_score_gemma":0.4153813,"teacher_disagreement_score":0.19581799,"about_ca_system_score_codex":0.01902491,"about_ca_system_score_gemma":0.025104104,"threshold_uncertainty_score":0.38935643},"labels":[],"label_agreement":null},{"id":"W3208025911","doi":"10.5430/ijfr.v12n5p265","title":"A Hybrid Model to Alleviate Unemployment and Poverty in South Africa","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Poverty; Youth unemployment; Economics; Economic growth; Government (linguistics); Legislation; Development economics; Labour economics; Political science","score_opus":0.07535818502927608,"score_gpt":0.3927786522510308,"score_spread":0.31742046722175477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208025911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5220356,0.010391708,0.36020732,0.011494107,0.00059666415,0.00058724015,0.0012651177,0.0004010267,0.0930213],"genre_scores_gemma":[0.967883,0.0020923053,0.019395098,0.00025406954,0.000059313785,0.00040054432,0.00022028816,0.000027539498,0.009667892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941707,0.0003754956,0.000018357345,0.00006218969,0.000034421795,0.00009252479],"domain_scores_gemma":[0.99941564,0.00040134747,0.000048672933,0.000015127588,0.00006340807,0.000055766923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011307924,0.0007481538,0.0009028564,0.001043999,0.0009658755,0.0019519876,0.0013173078,0.0015264142,0.006770011],"category_scores_gemma":[0.0017690674,0.00035729256,0.0015224098,0.00082699524,0.0005645383,0.0012819635,0.0019318094,0.0010344002,0.00027132736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022869093,0.00025837775,0.008327497,0.00053841923,0.00050748914,0.00089257077,0.0012734644,0.84313357,0.0006043481,0.11484924,0.0029524162,0.026434008],"study_design_scores_gemma":[0.00011369849,0.00022859013,0.0021896623,0.00017187453,0.00027246925,0.00012363237,0.00091380614,0.94023347,0.00010505388,0.048179924,0.007433773,0.00003405104],"about_ca_topic_score_codex":0.017146839,"about_ca_topic_score_gemma":0.016229115,"teacher_disagreement_score":0.017146839,"about_ca_system_score_codex":0.0018664536,"about_ca_system_score_gemma":0.0022845601,"threshold_uncertainty_score":0.034094036},"labels":[],"label_agreement":null},{"id":"W3208172554","doi":"10.5430/ijfr.v12n5p277","title":"Liquidity Mismatch Index and Bank Performance","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Accounting liquidity; Liquidity crisis; Liquidity risk; Open market operation; Index (typography); Business; Context (archaeology); Liquidity premium; Statutory liquidity ratio; Monetary economics; Financial system; Economics; Finance; Monetary policy; Computer science","score_opus":0.06313530634312778,"score_gpt":0.3296054996073769,"score_spread":0.26647019326424914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208172554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958858,0.0008844865,0.0004325278,0.00031561288,0.0000089664745,0.0000053699277,0.00022002988,0.000010696134,0.0022364804],"genre_scores_gemma":[0.99947816,0.00009468319,0.00008065447,0.000012844393,0.000012808161,0.000002887907,0.00010300626,9.4564615e-7,0.00021414245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993185,0.000189621,0.00009302438,0.00010548907,0.00019368614,0.00009970755],"domain_scores_gemma":[0.98766834,0.004419738,0.006371497,0.0003382457,0.0006661663,0.00053599506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011597787,0.00018718833,0.0002583865,0.0014092147,0.00023843028,0.0013540186,0.00021108463,0.0004437173,0.002870817],"category_scores_gemma":[0.009272498,0.00009933386,0.00019784887,0.0022740187,0.00036606885,0.0012312117,0.0008223966,0.00060075906,0.00050233694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011538561,0.00004045081,0.9884056,0.00004389173,0.00007719381,0.00008367498,0.00031111419,0.0008671336,0.000544,0.001113839,0.00031135936,0.008086372],"study_design_scores_gemma":[0.000004517391,0.0001056127,0.99382436,0.000030937637,0.000038445345,0.00013336151,0.00054198067,0.0024788815,0.00052979117,0.0013205158,0.0009784867,0.000013130764],"about_ca_topic_score_codex":0.0013863841,"about_ca_topic_score_gemma":0.0014276678,"teacher_disagreement_score":0.002870817,"about_ca_system_score_codex":0.0005807489,"about_ca_system_score_gemma":0.00038210626,"threshold_uncertainty_score":0.009603858},"labels":[],"label_agreement":null},{"id":"W3208834947","doi":"10.5430/ijfr.v12n5p246","title":"How the Crowding-out Effect Hypothesis Stands Under a Financial System Liberalised: The Mexican Economy Case","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México","keywords":"Investment (military); Economics; Liberalization; Crowding out; Financial market; Public capital; Private sector; Public sector; Public investment; Macroeconomics; Finance; Monetary economics; Economy; Market economy; Economic growth; Production (economics)","score_opus":0.10562525183540783,"score_gpt":0.3145495625667737,"score_spread":0.20892431073136586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208834947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92089796,0.0020921405,0.0062559447,0.01605004,0.00008244497,0.00009887274,0.00044653076,0.000054813394,0.05402125],"genre_scores_gemma":[0.9970048,0.0004406393,0.0003153946,0.0003377487,0.000076960445,0.00002798109,0.000038035014,0.0000062871864,0.0017519624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987797,0.00034504803,0.000038634826,0.00015295885,0.00013522356,0.0005484436],"domain_scores_gemma":[0.99634486,0.0018746892,0.0010982717,0.00024257317,0.00014328328,0.0002962826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030726928,0.00027824097,0.00096134155,0.0012901175,0.0015916897,0.0039028174,0.0008115612,0.0022503822,0.00866451],"category_scores_gemma":[0.0047411188,0.00019854109,0.0009299509,0.0012792783,0.00465734,0.0025568886,0.002288278,0.0020142903,0.00018759986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004971931,0.00032770738,0.07756516,0.00024482736,0.00017018219,0.0037989663,0.0032465938,0.015265897,0.00077835063,0.87280834,0.0030139463,0.022282805],"study_design_scores_gemma":[0.001021796,0.0012728741,0.3042543,0.0007379033,0.0012059176,0.0010416867,0.032042556,0.059349522,0.0026547248,0.5437844,0.052331507,0.00030285888],"about_ca_topic_score_codex":0.029917754,"about_ca_topic_score_gemma":0.02206184,"teacher_disagreement_score":0.029917754,"about_ca_system_score_codex":0.002485572,"about_ca_system_score_gemma":0.0017410193,"threshold_uncertainty_score":0.059487224},"labels":[],"label_agreement":null},{"id":"W3210124199","doi":"10.5430/ijfr.v12n5p223","title":"Impact of Risk-Taking on Firm Value","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Endogeneity; Enterprise value; Tobin's q; Economics; Value (mathematics); Econometrics; Variables; Shareholder; Variable (mathematics); Instrumental variable; Market value; Microeconomics; Actuarial science; Monetary economics; Corporate governance; Statistics; Finance; Mathematics","score_opus":0.13795490154865303,"score_gpt":0.46782674646210987,"score_spread":0.32987184491345684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210124199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919487,0.0008807991,0.0007382556,0.0003569171,0.0000129604605,0.00001821405,0.000137128,0.000015464388,0.005891419],"genre_scores_gemma":[0.9993839,0.00009903146,0.00009798417,0.00001880575,0.000014207283,0.0000028664228,0.00004933682,0.0000013897303,0.0003323568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975763,0.0006079369,0.00019281778,0.0002646392,0.0008640546,0.00049430225],"domain_scores_gemma":[0.94217,0.025117941,0.02477773,0.002415615,0.0021644563,0.003354352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031707487,0.00033094242,0.00035012385,0.0010167737,0.0003491935,0.0025276574,0.0004483175,0.0006470097,0.0027475618],"category_scores_gemma":[0.02106325,0.00014813297,0.0004911923,0.00093112484,0.00073171634,0.0012917011,0.0010546071,0.0012350783,0.00037015133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028030793,0.0003952254,0.95041317,0.00009540891,0.00034156282,0.00046242168,0.00037984483,0.005204405,0.0026614454,0.00449871,0.00042871758,0.03483875],"study_design_scores_gemma":[0.000011610489,0.00040800992,0.98726743,0.000045398418,0.00007982349,0.00020339641,0.00036609158,0.003927887,0.0013127339,0.005233216,0.0011033643,0.000041038074],"about_ca_topic_score_codex":0.0016454379,"about_ca_topic_score_gemma":0.0018821626,"teacher_disagreement_score":0.0031707487,"about_ca_system_score_codex":0.0012519677,"about_ca_system_score_gemma":0.000630726,"threshold_uncertainty_score":0.016768694},"labels":[],"label_agreement":null},{"id":"W3210403928","doi":"10.5430/ijfr.v12n5p255","title":"A General and Theoretical FX Model for the Multi-Currency Basket: Economic, Financial and Mathematical Approach","year":2021,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Currency; Economics; Exchange rate; Foreign exchange risk; Foreign exchange market; Foreign exchange swap; Monetary economics; Point (geometry); Foreign-exchange reserves; Weighting; Mathematics","score_opus":0.11244858557746364,"score_gpt":0.369626774554223,"score_spread":0.25717818897675937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210403928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024742728,0.0029075665,0.8714353,0.0060918126,0.0006243277,0.00015427601,0.0009257806,0.00025704395,0.09286116],"genre_scores_gemma":[0.6590226,0.0074555143,0.168524,0.00096392765,0.0011814766,0.0005864546,0.00093432865,0.00022886218,0.1611028],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99964714,0.00010471276,0.000023665163,0.0000810591,0.00008153435,0.00006189984],"domain_scores_gemma":[0.99959964,0.000113463946,0.00008901514,0.000051489133,0.00008186941,0.00006451672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011615327,0.0008177119,0.00084223493,0.0010489448,0.00086079736,0.003948502,0.0024726738,0.0028274865,0.0133059025],"category_scores_gemma":[0.001904498,0.0005160841,0.0011969712,0.0016970857,0.0016546493,0.006003937,0.0013393792,0.0019523472,0.0023092993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012977014,0.000012506657,0.0001961001,0.00003691833,0.000007634252,0.00012086609,0.000056132583,0.025340397,0.00033805275,0.96869546,0.0021799873,0.0030029896],"study_design_scores_gemma":[0.000044211254,0.0000579478,0.00038801433,0.000077946126,0.000020521122,0.0003466852,0.0000903273,0.30066124,0.00025758074,0.6708896,0.027131168,0.000034701814],"about_ca_topic_score_codex":0.0038158223,"about_ca_topic_score_gemma":0.0017315033,"teacher_disagreement_score":0.0133059025,"about_ca_system_score_codex":0.0016452702,"about_ca_system_score_gemma":0.0014460986,"threshold_uncertainty_score":0.04451269},"labels":[],"label_agreement":null},{"id":"W3215930691","doi":"","title":"International Public Sector Accounting Standards (IPSAS) Adoption and Implementation in Nigerian Public Sector","year":2019,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accounting; Public sector; Business; Economics; Economy","score_opus":0.03479884423297054,"score_gpt":0.33935227357112774,"score_spread":0.3045534293381572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215930691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973895,0.00012706923,0.00004415875,0.00035295213,0.000010588613,0.0000117919435,0.000020879277,0.0000020253444,0.0020411245],"genre_scores_gemma":[0.99909437,0.00015893487,0.00008814554,0.000036151712,0.0000018164939,0.0000043407076,0.000016940267,8.8864317e-7,0.0005985126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971259,0.00083996804,0.00032847348,0.00023246344,0.0007247941,0.000748413],"domain_scores_gemma":[0.9907726,0.0025386582,0.0032900444,0.0003215624,0.0023917658,0.0006854491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043678284,0.00013144314,0.000156208,0.0010640175,0.0012088756,0.0024254438,0.00038031972,0.0005737891,0.0011234189],"category_scores_gemma":[0.011321511,0.00026117289,0.00017065754,0.0017727452,0.0010241815,0.0015540852,0.0011421269,0.001282008,0.00012785498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017526896,0.00037796193,0.8374972,0.00017550429,0.000017905775,0.00070113706,0.0701558,0.00033772574,0.0012639576,0.0054138685,0.00096833846,0.08291538],"study_design_scores_gemma":[0.0000044234184,0.00023855068,0.86328083,0.0002791665,0.000030131156,0.0002571356,0.12581293,0.000508359,0.001120501,0.00039047332,0.008057895,0.00001949042],"about_ca_topic_score_codex":0.04113781,"about_ca_topic_score_gemma":0.061165724,"teacher_disagreement_score":0.04113781,"about_ca_system_score_codex":0.0042588315,"about_ca_system_score_gemma":0.009598036,"threshold_uncertainty_score":0.081796706},"labels":[],"label_agreement":null},{"id":"W4210417445","doi":"10.5430/ijfr.v13n1p1","title":"Bank Credit Risk Rating Process: Is There a Difference Between Developed and Developing Country Banks?","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Credit rating; Logistic regression; Bond credit rating; Credit risk; Actuarial science; Ordered logit; Business; Economics; Process (computing); Quality (philosophy); Econometrics; Credit reference; Statistics; Computer science; Mathematics","score_opus":0.09864123169829649,"score_gpt":0.35559818381211433,"score_spread":0.25695695211381786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210417445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99023706,0.00042144727,0.002253401,0.0006456074,0.000013922577,0.00007991912,0.00017886245,0.000014258532,0.006155608],"genre_scores_gemma":[0.9984334,0.00013739342,0.0004797436,0.00009810022,0.000010135998,0.000015489859,0.00012528365,0.0000038335993,0.00069662766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955988,0.0021610674,0.00026277424,0.0005597089,0.0010777967,0.00033991216],"domain_scores_gemma":[0.97887576,0.0068545653,0.0083880555,0.0015436091,0.0032286912,0.0011092193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008473797,0.00015994991,0.00038848142,0.0011675395,0.0004687142,0.0020502391,0.00040953877,0.00048122133,0.002068405],"category_scores_gemma":[0.028727861,0.00016260502,0.00034833798,0.001530721,0.0011000355,0.0015986429,0.0010634991,0.0010273502,0.00070652476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032568717,0.00017064535,0.9443871,0.00005089176,0.0000865868,0.00010079355,0.006447844,0.001444772,0.0007689517,0.0029415742,0.0007652029,0.04250998],"study_design_scores_gemma":[0.000020821186,0.00016439003,0.9901238,0.000029492261,0.000023775297,0.000088571716,0.003067345,0.0030422022,0.00044991885,0.0013802367,0.0015858198,0.000023534862],"about_ca_topic_score_codex":0.00820733,"about_ca_topic_score_gemma":0.0065832417,"teacher_disagreement_score":0.008473797,"about_ca_system_score_codex":0.00076873635,"about_ca_system_score_gemma":0.000554955,"threshold_uncertainty_score":0.04481429},"labels":[],"label_agreement":null},{"id":"W4211220665","doi":"10.5430/ijfr.v13n1p42","title":"Testing Financial Contagion in Emerging Countries: Evidence From BRICS Countries","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Financial crisis; Financial market; Emerging markets; Stock market; Equity (law); Volatility (finance); Financial contagion; Monetary economics; Debt crisis; China; Financial economics; Debt; Finance; Macroeconomics; Geography","score_opus":0.11475889169551905,"score_gpt":0.3570803449139498,"score_spread":0.24232145321843074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211220665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965682,0.00074553274,0.00013796474,0.00021968794,0.000008431971,0.000009318541,0.0003103914,0.0000033620124,0.0019971689],"genre_scores_gemma":[0.99848586,0.0007976075,0.00006746138,0.00005405992,0.000014812884,0.000004410599,0.00043998234,0.0000017033882,0.00013419434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994667,0.00018626695,0.000041127463,0.00008447117,0.00010018474,0.00012128056],"domain_scores_gemma":[0.99369884,0.002104863,0.0028326486,0.00033177127,0.00066784525,0.0003639304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016015421,0.00035029248,0.00031698495,0.0018517087,0.00051483564,0.0011188346,0.00032907614,0.0004575939,0.0013217793],"category_scores_gemma":[0.0050922586,0.00016799294,0.00041996784,0.002103346,0.0007791162,0.00071000797,0.0010810137,0.0006691939,0.00022650909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016758169,0.00011944335,0.98408234,0.00011840888,0.000294094,0.0012819981,0.0019793122,0.0011035874,0.0004865308,0.0010669826,0.000759929,0.00853977],"study_design_scores_gemma":[0.0000303188,0.00021694781,0.98517483,0.00018425999,0.00017592023,0.0005254047,0.007873738,0.002065882,0.0004177581,0.0002601547,0.0030561227,0.000018708695],"about_ca_topic_score_codex":0.025465602,"about_ca_topic_score_gemma":0.023993604,"teacher_disagreement_score":0.025465602,"about_ca_system_score_codex":0.00033111224,"about_ca_system_score_gemma":0.0006400464,"threshold_uncertainty_score":0.05063474},"labels":[],"label_agreement":null},{"id":"W4211254208","doi":"10.5430/ijfr.v13n1p18","title":"Create a New Method of Santander Bank Branches","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Competition (biology); Work (physics); Service (business); Point (geometry); Business; Computer science; Telecommunications; Finance; Marketing; Engineering; Mathematics","score_opus":0.08289520165061855,"score_gpt":0.3958368150432237,"score_spread":0.3129416133926052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211254208","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027576402,0.00072411995,0.16134073,0.0045762667,0.0015134612,0.0006052912,0.00036719142,0.0028358137,0.80046076],"genre_scores_gemma":[0.22398631,0.0009499389,0.3033995,0.0016670715,0.0005282449,0.0008106485,0.00048437822,0.0013281549,0.46684566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997182,0.0009121375,0.00009947312,0.00063846057,0.0008656427,0.00030228813],"domain_scores_gemma":[0.99871886,0.00023101672,0.00007748133,0.00041763062,0.00029459278,0.0002604152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018418018,0.0005942941,0.00029876002,0.002165561,0.004025836,0.0057666646,0.0012722998,0.0016165276,0.05326847],"category_scores_gemma":[0.003233168,0.00047371545,0.00065109605,0.0016529253,0.0026021232,0.0043172413,0.0045002317,0.0021212304,0.014298155],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012582587,0.00020723378,0.0029687672,0.00017825908,0.000018539822,0.00043975946,0.009318084,0.0011533202,0.00316972,0.61730677,0.081032984,0.28408074],"study_design_scores_gemma":[0.000024335977,0.000049310416,0.0009057637,0.00010302492,0.000011391334,0.00028221036,0.0016502729,0.0018230805,0.0012451023,0.028219583,0.96565944,0.000026564672],"about_ca_topic_score_codex":0.0045940815,"about_ca_topic_score_gemma":0.0086652925,"teacher_disagreement_score":0.05326847,"about_ca_system_score_codex":0.0023807304,"about_ca_system_score_gemma":0.0040543363,"threshold_uncertainty_score":0.17820078},"labels":[],"label_agreement":null},{"id":"W4212837554","doi":"10.5430/ijfr.v13n1p74","title":"Financial Accountability Framework for Local Municipalities in the North West Province","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Accountability; Benchmarking; Business; Accounting; Audit; Data collection; Legislation; Finance; Exploratory research; Financial management; Qualitative research; Public relations; Political science; Sociology; Marketing","score_opus":0.08234137522737382,"score_gpt":0.37217203022776885,"score_spread":0.289830655000395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212837554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47538474,0.0049103713,0.031019008,0.04093404,0.00039060897,0.002342981,0.0015853025,0.000532551,0.4429004],"genre_scores_gemma":[0.95447505,0.0013845006,0.015081441,0.00048974314,0.000034476405,0.0006695659,0.00047474712,0.000029876988,0.027360694],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99458826,0.0022996026,0.00035447223,0.00031956928,0.001103011,0.0013350354],"domain_scores_gemma":[0.9939057,0.001767876,0.0007186163,0.00017540321,0.00220237,0.0012300995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059865555,0.000367819,0.00032372802,0.0028241111,0.007326353,0.007539759,0.0017123878,0.0013863108,0.005439688],"category_scores_gemma":[0.00727324,0.00032632748,0.00034319088,0.0038362993,0.0033457344,0.0028437492,0.004414709,0.0013952013,0.00043402147],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112307636,0.00033142272,0.039865274,0.0019806894,0.00004230613,0.008937378,0.15663421,0.011886669,0.0017921559,0.5976367,0.031329677,0.14945115],"study_design_scores_gemma":[0.000046986897,0.00012537024,0.07573904,0.002366568,0.00006521376,0.00113416,0.3245576,0.007156309,0.0006858751,0.042748183,0.54522145,0.00015323692],"about_ca_topic_score_codex":0.39338908,"about_ca_topic_score_gemma":0.48269367,"teacher_disagreement_score":0.39338908,"about_ca_system_score_codex":0.040196054,"about_ca_system_score_gemma":0.07551622,"threshold_uncertainty_score":0.7821986},"labels":[],"label_agreement":null},{"id":"W4214601005","doi":"10.5430/ijfr.v13n1p90","title":"Effect of the Capability Component of Fraud Theory on Fraud Risk Management in Nigerian Banks","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Risk management; Business; Corporate governance; Insider; Variance inflation factor; Actuarial science; Accounting; Multicollinearity; Regression analysis; Finance; Statistics; Law","score_opus":0.025401152456669365,"score_gpt":0.309025133099419,"score_spread":0.28362398064274963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214601005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951794,0.0002015335,0.00048895075,0.000538724,0.000005921789,0.00003261715,0.000012121741,0.0000028173608,0.003537865],"genre_scores_gemma":[0.99945766,0.0001243303,0.00022533906,0.000025552567,0.0000037203183,0.0000066870007,0.000008553114,7.9740704e-7,0.00014738757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99294573,0.0036376908,0.0005163702,0.00043763206,0.001616026,0.00084651913],"domain_scores_gemma":[0.9230518,0.039800167,0.023977933,0.0030025714,0.0060243155,0.004143296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006615314,0.0004247121,0.00042993596,0.0022605313,0.0012813928,0.004376052,0.00052249717,0.00075406104,0.0026932608],"category_scores_gemma":[0.040551536,0.00030722594,0.00065860135,0.0012702728,0.0024185795,0.002435983,0.0032058645,0.0017269736,0.0001850254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002013539,0.00055070454,0.9592359,0.00007194601,0.00009913684,0.0003194054,0.004413888,0.0017154625,0.0003257303,0.0045927954,0.000258966,0.028214717],"study_design_scores_gemma":[0.00002082533,0.00037894506,0.9694017,0.00035312504,0.00011158946,0.0003241765,0.013025877,0.010953747,0.00045543848,0.0036944207,0.0012396185,0.000040549414],"about_ca_topic_score_codex":0.0064053414,"about_ca_topic_score_gemma":0.0056971787,"teacher_disagreement_score":0.006615314,"about_ca_system_score_codex":0.002935778,"about_ca_system_score_gemma":0.0032831002,"threshold_uncertainty_score":0.034985542},"labels":[],"label_agreement":null},{"id":"W4223566241","doi":"10.5430/ijfr.v13n2p1","title":"Issues and Challenges Faced by Islamic Financial Institutions in Canada","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Islam; Islamic finance; Government (linguistics); Political science; Islamic banking; Finance; Business","score_opus":0.06715366956505613,"score_gpt":0.3276088480444365,"score_spread":0.2604551784793804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223566241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88866395,0.0038092118,0.00021421588,0.07962887,0.00016071132,0.000080918624,0.00017471823,0.000019032768,0.027248446],"genre_scores_gemma":[0.99032295,0.0018920562,0.0003133388,0.003296753,0.000029339732,0.000010294049,0.00003544506,0.0000057678176,0.0040940517],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99063337,0.0012740614,0.00028998998,0.00037379758,0.0028793432,0.004549405],"domain_scores_gemma":[0.97870135,0.002530984,0.002910987,0.00022953628,0.007118142,0.008508839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005868445,0.00018286826,0.00032967245,0.001469082,0.019537736,0.01194673,0.0015311437,0.0023484118,0.003279864],"category_scores_gemma":[0.011377016,0.00033085851,0.0002176046,0.0038900874,0.0068052784,0.0018884938,0.0035441353,0.0029541503,0.00023427606],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027805567,0.0003470072,0.43388882,0.0007035379,0.00009767637,0.008014374,0.311856,0.0013360063,0.0022554086,0.04891524,0.058009356,0.13429852],"study_design_scores_gemma":[0.000012541898,0.000052944397,0.19430284,0.00049890886,0.00002450662,0.00055664364,0.71851695,0.0006173694,0.0004048275,0.0013959224,0.08351713,0.00009935685],"about_ca_topic_score_codex":0.96259683,"about_ca_topic_score_gemma":0.98247015,"teacher_disagreement_score":0.10090013,"about_ca_system_score_codex":0.10090013,"about_ca_system_score_gemma":0.19372557,"threshold_uncertainty_score":0.7320851},"labels":[],"label_agreement":null},{"id":"W4224138764","doi":"10.5430/ijfr.v13n2p14","title":"Estimating the Tail Index of Conditional Distribution of Asset Returns","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Econometrics; Extreme value theory; Estimator; Economics; Generalized Pareto distribution; Financial market; Normality; Asset (computer security); Tail dependence; Conditional variance; Value at risk; Conditional probability distribution; Variance (accounting); Gaussian; Financial economics; Statistics; Mathematics; Autoregressive conditional heteroskedasticity; Finance; Computer science; Risk management; Physics; Volatility (finance)","score_opus":0.061420262120583616,"score_gpt":0.34471569557286846,"score_spread":0.28329543345228486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224138764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8444341,0.00019508121,0.1527262,0.0001883426,0.000015566431,0.000030612315,0.0004470597,0.0004014346,0.0015616264],"genre_scores_gemma":[0.9899678,0.000086989545,0.0089230295,0.00002518628,0.000018809382,0.000013174956,0.0007044545,0.00002382716,0.00023670465],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939823,0.00019052764,0.000038092778,0.0001685337,0.000111794776,0.000092863556],"domain_scores_gemma":[0.98550344,0.010182008,0.0019460549,0.0012868871,0.00074232183,0.00033924752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035494803,0.00034538936,0.0004512775,0.0025306612,0.0002050585,0.0010837208,0.00057246967,0.0009453227,0.0011689822],"category_scores_gemma":[0.025785033,0.00028010094,0.00045684428,0.0009731932,0.0007381999,0.0017321233,0.0009047307,0.0010348177,0.00034874535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048177864,0.00019677216,0.610876,0.0001529953,0.00033667375,0.0006296943,0.00060286,0.19058481,0.01509873,0.050419696,0.0028947976,0.12772515],"study_design_scores_gemma":[0.000018566672,0.000090599555,0.13646983,0.000037608363,0.00003671843,0.00036923942,0.00013496321,0.81939244,0.004862428,0.03785933,0.0006455557,0.00008272456],"about_ca_topic_score_codex":0.0022059965,"about_ca_topic_score_gemma":0.0013577336,"teacher_disagreement_score":0.0035494803,"about_ca_system_score_codex":0.00051012076,"about_ca_system_score_gemma":0.00040613284,"threshold_uncertainty_score":0.018771708},"labels":[],"label_agreement":null},{"id":"W4224267070","doi":"10.5430/ijfr.v13n2p36","title":"The Mediation Effect of Country Risk in the Nexus Between Stock Market Development and Economic Growth: Evidence From Developing Countries","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock market; Market capitalization; Economics; Panel data; Real gross domestic product; Monetary economics; Capitalization; Political risk; Developing country; Politics; Econometrics; Economic growth","score_opus":0.044473575188330734,"score_gpt":0.3009364008709415,"score_spread":0.25646282568261075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224267070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931144,0.0026575646,0.00025276636,0.0007494647,0.000012944605,0.000009880719,0.00023076816,0.0000037465477,0.0029685667],"genre_scores_gemma":[0.9987078,0.0009906248,0.00006576611,0.000044660323,0.000009303178,0.0000032605628,0.00009587812,9.537016e-7,0.00008183054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888414,0.0005962791,0.000083738756,0.0001598337,0.000119589065,0.0001565101],"domain_scores_gemma":[0.9889193,0.0053903116,0.0039779176,0.00051577704,0.00058367994,0.00061300735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024504482,0.0004603833,0.00043708872,0.0011595831,0.00042697502,0.0012698276,0.00034847233,0.0003634473,0.0028255428],"category_scores_gemma":[0.009454362,0.00023598749,0.00077719486,0.0017836551,0.001036696,0.00087650015,0.0015957307,0.0009058102,0.00017885666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006102209,0.000040507875,0.99282527,0.000044002976,0.00033021692,0.00017372158,0.00042206334,0.00019963372,0.000053317945,0.00074801815,0.000089268186,0.0050129844],"study_design_scores_gemma":[0.00001394284,0.00008271143,0.99537164,0.00011039571,0.00048785767,0.00012403273,0.0014561003,0.00064305397,0.00017668848,0.00063877675,0.0008857366,0.000009044892],"about_ca_topic_score_codex":0.013129437,"about_ca_topic_score_gemma":0.014131804,"teacher_disagreement_score":0.013129437,"about_ca_system_score_codex":0.0003285163,"about_ca_system_score_gemma":0.00089800183,"threshold_uncertainty_score":0.02610606},"labels":[],"label_agreement":null},{"id":"W4224950076","doi":"10.5430/ijfr.v13n2p44","title":"Next Generation Investors and Financial Advice Consumption: An Empirical Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Consumption (sociology); Sample (material); Advice (programming); Business; Finance; Investment (military); Money management; Financial management; First generation; Marketing; Economics; Actuarial science; Sociology; Computer science; Political science","score_opus":0.16045959818168734,"score_gpt":0.3978324460514507,"score_spread":0.23737284786976334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224950076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801695,0.00008007589,0.0001029332,0.00007737912,0.0000027406188,0.000023445276,0.0009495329,0.0000020058942,0.0007449661],"genre_scores_gemma":[0.9967276,0.00010691335,0.00018824854,0.000051029176,0.000013513419,0.00006111611,0.0021141456,0.0000027584085,0.0007346117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993772,0.00023898158,0.000046029883,0.000083110506,0.00009941952,0.00015534018],"domain_scores_gemma":[0.9945135,0.0027226286,0.0017161091,0.0002539375,0.0003155888,0.00047826636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014126081,0.00024703587,0.00028987633,0.001290778,0.00034274947,0.000947406,0.0004909959,0.0007187719,0.005658234],"category_scores_gemma":[0.0057355086,0.00016631799,0.0004335065,0.0014729559,0.0002890404,0.0005944541,0.00082961575,0.000825744,0.0010494376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058484595,0.00018636828,0.9951015,0.000028591705,0.000041464747,0.00008308176,0.0007970777,0.00007567488,0.00004507984,0.00009911461,0.0005135164,0.0029700845],"study_design_scores_gemma":[0.000009287861,0.00008504666,0.9957682,0.00002354736,0.00003531804,0.00008990851,0.0022899662,0.00072683307,0.000045808403,0.00004899559,0.0008712844,0.000005794495],"about_ca_topic_score_codex":0.009559693,"about_ca_topic_score_gemma":0.008473801,"teacher_disagreement_score":0.009559693,"about_ca_system_score_codex":0.00042713952,"about_ca_system_score_gemma":0.00033813398,"threshold_uncertainty_score":0.0190081},"labels":[],"label_agreement":null},{"id":"W4225291128","doi":"10.5430/ijfr.v13n2p61","title":"Pre and Post Global Financial and Economic Crisis on Nigerian Economy","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial crisis; Economics; Order (exchange); Real economy; Monetary policy; Interest rate; World economy; Financial system; Economy; Monetary economics; Finance; Macroeconomics; Political science","score_opus":0.019959942612013094,"score_gpt":0.30919068195360283,"score_spread":0.2892307393415897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225291128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98324305,0.002051758,0.000033059183,0.0011613602,0.000058471283,0.000013348332,0.0003148601,0.0000015661967,0.013122564],"genre_scores_gemma":[0.99529546,0.0027514326,0.000029122872,0.00018520231,0.000026567075,0.0000063551292,0.00019589416,0.0000017108547,0.0015081281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997423,0.000047693415,0.000021888447,0.000021629228,0.000039774804,0.00012660204],"domain_scores_gemma":[0.9991696,0.00021357142,0.0003120846,0.000015060521,0.00016274361,0.00012703177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004282111,0.00018977259,0.00017116599,0.00071609934,0.0007568438,0.001860782,0.000102422935,0.00043062298,0.00372945],"category_scores_gemma":[0.0014096106,0.00010967955,0.00014544286,0.0008162604,0.00045903627,0.0009953101,0.00070263864,0.0008024265,0.00030619462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003399995,0.00035733663,0.945591,0.00036634898,0.00004325359,0.0035592637,0.007346136,0.0007941412,0.00090831745,0.0065846634,0.0052002165,0.02890922],"study_design_scores_gemma":[0.000003523759,0.00007300936,0.9735432,0.00025084798,0.000019640553,0.00030445002,0.017148262,0.00020600573,0.00028549257,0.00059044344,0.0075620306,0.000013086212],"about_ca_topic_score_codex":0.012852496,"about_ca_topic_score_gemma":0.033257127,"teacher_disagreement_score":0.012852496,"about_ca_system_score_codex":0.0011113537,"about_ca_system_score_gemma":0.001383742,"threshold_uncertainty_score":0.025555372},"labels":[],"label_agreement":null},{"id":"W4288431204","doi":"10.5430/ijfr.v13n3p1","title":"Finding Optimal Parameter Values for the MACD Indicator: Evidence From the Japanese Nikkei 225 Futures Market Using a New Methodology","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Econometrics; Divergence (linguistics); Convergence (economics); Value (mathematics); Futures market; Economics; Trading strategy; Moving average; Financial market; Computer science; Financial economics; Mathematics; Statistics; Macroeconomics; Finance","score_opus":0.3358488979306233,"score_gpt":0.4359030129987972,"score_spread":0.10005411506817391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288431204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96826184,0.0012987074,0.026954029,0.00033133262,0.000017757744,0.000041408304,0.00020000016,0.000044582677,0.0028503581],"genre_scores_gemma":[0.99225736,0.0002875027,0.007039134,0.000026607324,0.0000120852965,0.000018176503,0.00021650578,0.00001292563,0.00012980582],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982651,0.0008245258,0.00018720304,0.0003277892,0.00029861234,0.000096811455],"domain_scores_gemma":[0.9919212,0.00544163,0.0014256736,0.00058476505,0.000502981,0.00012368035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063974285,0.00056937576,0.00064145186,0.0016363356,0.0004205494,0.0016419025,0.00065482175,0.0007220921,0.00077716116],"category_scores_gemma":[0.017976964,0.00022560189,0.0009127772,0.0012753336,0.0008501982,0.0023029319,0.0011185702,0.0010214691,0.000115432245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010202818,0.00047716513,0.5713069,0.0010548026,0.0014090992,0.00096814614,0.002823234,0.20327248,0.007817497,0.04515239,0.002960491,0.16173762],"study_design_scores_gemma":[0.0001879007,0.0008007927,0.2952779,0.0003219224,0.0008599658,0.0006581396,0.0048928023,0.62241685,0.008791977,0.058199715,0.007278098,0.00031395207],"about_ca_topic_score_codex":0.005093807,"about_ca_topic_score_gemma":0.0036816613,"teacher_disagreement_score":0.0063974285,"about_ca_system_score_codex":0.00068809895,"about_ca_system_score_gemma":0.00094613945,"threshold_uncertainty_score":0.033833206},"labels":[],"label_agreement":null},{"id":"W4294376363","doi":"10.5430/ijfr.v13n3p25","title":"Special Underwriter-Reputation Measuring Method From a Small Emerging Economy","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Underwriting; Reputation; Closing (real estate); Listing (finance); Context (archaeology); Business; Proxy (statistics); Ranking (information retrieval); Accounting; Actuarial science; Finance; Computer science; Geography; Political science; Artificial intelligence","score_opus":0.11457001925880055,"score_gpt":0.34578885498615103,"score_spread":0.23121883572735047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294376363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940043,0.00022681935,0.049139407,0.00012505362,0.00003447759,0.00015095167,0.001469999,0.00018641431,0.008623863],"genre_scores_gemma":[0.98262215,0.00008904892,0.013677039,0.000015104851,0.00002432081,0.00008343763,0.0013197383,0.000011141294,0.002157962],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99960655,0.0001334311,0.000034056957,0.00009269125,0.00008071709,0.000052652296],"domain_scores_gemma":[0.99862194,0.00030625655,0.00032843152,0.0001644597,0.00047602202,0.000102799924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012826059,0.00026307022,0.00021586419,0.0018587852,0.00046002868,0.00070858235,0.0003718453,0.00029145813,0.002016002],"category_scores_gemma":[0.0034091175,0.00008559998,0.00020809451,0.0017134967,0.0001474648,0.0005160425,0.00048445826,0.00027217588,0.0005038057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008239403,0.00058789196,0.61434746,0.00037893103,0.00019284923,0.002436454,0.0017452053,0.0225124,0.023252765,0.0166942,0.010759384,0.3062685],"study_design_scores_gemma":[0.00008407193,0.00048687548,0.73554873,0.000055303128,0.00018205939,0.001565034,0.0018631737,0.21776588,0.015326111,0.005368671,0.021665886,0.0000881136],"about_ca_topic_score_codex":0.009626921,"about_ca_topic_score_gemma":0.011610756,"teacher_disagreement_score":0.009626921,"about_ca_system_score_codex":0.00055191445,"about_ca_system_score_gemma":0.00041980896,"threshold_uncertainty_score":0.019141793},"labels":[],"label_agreement":null},{"id":"W4295647511","doi":"10.5430/ijfr.v13n3p28","title":"Foreign Direct Investment and Inclusive Growth in Nigeria: The Role of the Financial Sector Development","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Financial sector; Financial sector development; Investment (military); Business; Economics; Inclusive growth; Financial system; International economics; Monetary economics; Finance; Economic growth; Macroeconomics; Political science; Poverty","score_opus":0.037212685277196664,"score_gpt":0.27850274966221095,"score_spread":0.24129006438501427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295647511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936859,0.0015328713,0.0001139351,0.00048283776,0.00001592457,0.0000035894288,0.00008190112,0.0000015919671,0.004081507],"genre_scores_gemma":[0.9985061,0.0009122192,0.000035092027,0.000014797738,0.000006177516,0.0000014098093,0.00004958146,4.8602067e-7,0.00047409878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998343,0.000040697483,0.000016304139,0.000018971155,0.000025257883,0.00006437487],"domain_scores_gemma":[0.9986701,0.00036911713,0.0005384693,0.00002484118,0.00015088398,0.000246681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000438796,0.00025571004,0.0001915162,0.0007964855,0.0003925923,0.0013768977,0.000107390624,0.00027874892,0.0012218445],"category_scores_gemma":[0.0013519581,0.00007669112,0.00016992279,0.0011249218,0.000436329,0.001168601,0.0008765052,0.00068514165,0.00014087839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119598226,0.00009243571,0.9824767,0.000050925602,0.00003003087,0.0007361775,0.0007785475,0.0014516969,0.00028624802,0.0037336668,0.0001959542,0.010047988],"study_design_scores_gemma":[0.0000067908722,0.00009671202,0.98097515,0.0002475497,0.00006123687,0.0005346192,0.0065154615,0.0046327375,0.0004948948,0.0029529124,0.0034685968,0.0000132772675],"about_ca_topic_score_codex":0.011296129,"about_ca_topic_score_gemma":0.019619362,"teacher_disagreement_score":0.011296129,"about_ca_system_score_codex":0.0008383169,"about_ca_system_score_gemma":0.0009984643,"threshold_uncertainty_score":0.022460759},"labels":[],"label_agreement":null},{"id":"W4304806359","doi":"10.5430/ijfr.v13n4p1","title":"The Effect of the Use of Solidarity Financing on Entrepreneurial Activities in the North West and South West Regions of Cameroon","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Solidarity; Residence; Selection bias; Revenue; Yield (engineering); Government (linguistics); Economics; Business; Economic growth; Finance; Demographic economics; Political science","score_opus":0.08041687624422862,"score_gpt":0.3103825644957953,"score_spread":0.2299656882515667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304806359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992824,0.0001325346,0.000020186544,0.00011118622,0.0000034106179,0.0000033430113,0.000029794828,4.4732792e-7,0.0004165928],"genre_scores_gemma":[0.9996959,0.00009547172,0.000024863375,0.000011398241,0.0000017692968,0.0000024040737,0.0000148271865,3.5568738e-7,0.00015297961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991485,0.0004270151,0.000026899073,0.0000582678,0.00004027464,0.0002990602],"domain_scores_gemma":[0.99671566,0.0009223652,0.0012801223,0.00006957837,0.00018679826,0.00082547637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009299775,0.00023417511,0.00017732785,0.00055064075,0.0008139085,0.0009155802,0.00020754186,0.00022459467,0.0021493295],"category_scores_gemma":[0.0028066933,0.00013767026,0.00022646006,0.00073540537,0.0008478198,0.00044003918,0.0008750757,0.00045956604,0.000086483975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016194013,0.00009942505,0.9866216,0.000035666195,0.000030388497,0.0008076831,0.0025509007,0.00025082997,0.00040441524,0.00046198862,0.00025421398,0.00832096],"study_design_scores_gemma":[0.0000032647572,0.000060839946,0.99346125,0.000036581772,0.000014112786,0.00012302966,0.0054936674,0.00019919546,0.00008482236,0.000057002082,0.00046044894,0.00000567343],"about_ca_topic_score_codex":0.054136936,"about_ca_topic_score_gemma":0.10604369,"teacher_disagreement_score":0.054136936,"about_ca_system_score_codex":0.0012045514,"about_ca_system_score_gemma":0.0014958206,"threshold_uncertainty_score":0.107643664},"labels":[],"label_agreement":null},{"id":"W4304806365","doi":"10.5430/ijfr.v13n4p16","title":"The Role of Digital Banking Services on Commercial Banks Performance in Somalia: A Descriptive and OLS Approach","year":2022,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kurtosis; Descriptive statistics; Statistics; Econometrics; Skewness; Stratified sampling; Pearson product-moment correlation coefficient; Variables; Mathematics","score_opus":0.029519878997231488,"score_gpt":0.28257207751249824,"score_spread":0.2530521985152668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304806365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998317,0.00006729834,0.00017572999,0.00007697154,0.0000022688594,0.000026941896,0.0004121986,0.00000442121,0.00091723166],"genre_scores_gemma":[0.99901104,0.00007331028,0.00031394212,0.000022159658,0.000005487448,0.000053099735,0.00025683173,0.0000014194216,0.00026272354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917394,0.00028228486,0.00011261645,0.00010152047,0.00015489709,0.0001748276],"domain_scores_gemma":[0.9955662,0.002806241,0.00093923457,0.00015104118,0.00030716634,0.00023010524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013514432,0.0002658635,0.00036285046,0.0029041008,0.0006012351,0.0012703121,0.0005215314,0.0005018502,0.0026859753],"category_scores_gemma":[0.0028165155,0.000296249,0.00068165717,0.0026052624,0.0007053185,0.0007800296,0.00079035346,0.00083398813,0.00034744135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051803887,0.00024905452,0.9909787,0.000052817468,0.000061591614,0.00015742885,0.0022897047,0.000384847,0.0002252835,0.0005670831,0.00024350987,0.004738211],"study_design_scores_gemma":[0.0000053306258,0.0004168822,0.9782356,0.00006707923,0.0000882816,0.00021162796,0.015534097,0.004147438,0.00029605045,0.0003402219,0.0006395373,0.000017925937],"about_ca_topic_score_codex":0.008219483,"about_ca_topic_score_gemma":0.008070782,"teacher_disagreement_score":0.008219483,"about_ca_system_score_codex":0.0009864658,"about_ca_system_score_gemma":0.0010829798,"threshold_uncertainty_score":0.016343296},"labels":[],"label_agreement":null},{"id":"W4313425614","doi":"10.5430/ijfr.v14n1p20","title":"A Longitudinal Study of Sales-Based Investment and Leverage Decisions","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Debt; Econometrics; Panel data; Moderation; Investment (military); Variance (accounting); Business; Monetary economics; Economics; Financial economics; Finance; Accounting; Statistics","score_opus":0.1899771789428099,"score_gpt":0.39465843967962805,"score_spread":0.20468126073681814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313425614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759835,0.00017366161,0.00044989248,0.00016220714,0.000004958963,0.000008837535,0.0005570514,0.0000058422006,0.0010391321],"genre_scores_gemma":[0.99794966,0.00010663962,0.00014067198,0.000025609377,0.000008515306,0.000007175943,0.0005625084,0.0000019374445,0.0011972077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967694,0.0001166943,0.000021484815,0.000056886143,0.000049521295,0.000078500554],"domain_scores_gemma":[0.99540013,0.00094484515,0.0023404171,0.00031251548,0.0002901489,0.0007118957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012880941,0.00014920566,0.00021403443,0.0006470504,0.00039835658,0.0008286775,0.00026198916,0.00058693654,0.0036323178],"category_scores_gemma":[0.004726994,0.00021137948,0.00024779383,0.0009137649,0.00024862305,0.00091679534,0.0005577538,0.00078042585,0.0007180698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010694817,0.00019817725,0.9935753,0.000006867341,0.00004964889,0.00012117637,0.0002780662,0.00037803446,0.00040963988,0.0005742611,0.000193979,0.004107844],"study_design_scores_gemma":[0.000004933856,0.00025580428,0.9955309,0.0000119749475,0.000019962043,0.00016194975,0.000269335,0.0020177441,0.00019078376,0.00056105223,0.0009662187,0.000009400902],"about_ca_topic_score_codex":0.004970832,"about_ca_topic_score_gemma":0.007205352,"teacher_disagreement_score":0.004970832,"about_ca_system_score_codex":0.00032770552,"about_ca_system_score_gemma":0.0003185117,"threshold_uncertainty_score":0.012151301},"labels":[],"label_agreement":null},{"id":"W4313437984","doi":"10.5430/ijfr.v14n1p1","title":"The Vanishing Role of IFRS Application on the Performance of Saudi Arabian IPO Companies","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Initial public offering; Business; Information asymmetry; International Financial Reporting Standards; Accounting; Emerging markets; Quality (philosophy); Financial system; Finance","score_opus":0.027800754693050555,"score_gpt":0.3019568188595569,"score_spread":0.27415606416650634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313437984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965243,0.0002973361,0.00009531451,0.0004050411,0.000013289471,0.0000070385386,0.00014241574,0.0000055947744,0.0025096734],"genre_scores_gemma":[0.9993304,0.00009894742,0.000043808734,0.00002635933,0.0000146316615,0.0000013912231,0.00009153558,9.948646e-7,0.0003918972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715793,0.00056612614,0.00036006485,0.00026162746,0.0012345277,0.00041976103],"domain_scores_gemma":[0.9397776,0.008671303,0.03395895,0.0023627728,0.013471496,0.0017579228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045262375,0.00020353447,0.0001862057,0.0012360276,0.00044262566,0.0020210876,0.0004260539,0.00049432565,0.0012178754],"category_scores_gemma":[0.021390203,0.00009063759,0.00020177283,0.0010930565,0.0006484576,0.0010617909,0.00080760673,0.00061309605,0.0004272655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013874617,0.00006217326,0.9746534,0.000042143543,0.00003676688,0.00014225727,0.0009764623,0.00020631893,0.00059157296,0.00039296248,0.00039508595,0.022362202],"study_design_scores_gemma":[0.0000030349079,0.00016257477,0.9942492,0.000040274474,0.000034478562,0.00009963628,0.0016961276,0.00044232674,0.0012359783,0.00011438902,0.0019108633,0.000011113477],"about_ca_topic_score_codex":0.012893936,"about_ca_topic_score_gemma":0.009772191,"teacher_disagreement_score":0.012893936,"about_ca_system_score_codex":0.0013480007,"about_ca_system_score_gemma":0.0013405776,"threshold_uncertainty_score":0.025637805},"labels":[],"label_agreement":null},{"id":"W4313438017","doi":"10.5430/ijfr.v14n1p13","title":"Using Alternative Investment Vehicles to Replication Hedge Funds Risk and Return","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fund of funds; Business; Hedge fund; Global assets under management; Alternative beta; Risk–return spectrum; Investment (military); Return on investment; Finance; Commission; Passive management; Alternative investment; Institutional investor; Economics; Portfolio; Market liquidity; Corporate governance; Microeconomics; Production (economics)","score_opus":0.19653230338513866,"score_gpt":0.39842603401050447,"score_spread":0.2018937306253658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313438017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8927511,0.0006175215,0.0985399,0.00012475745,0.00006881573,0.000095133495,0.00049800274,0.00014898472,0.007155728],"genre_scores_gemma":[0.9855731,0.00015816178,0.012913376,0.00001628145,0.000011309475,0.000035064084,0.00033993187,0.000019878753,0.0009329352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980204,0.0009308744,0.00014006587,0.00026342622,0.0005103476,0.00013486223],"domain_scores_gemma":[0.99564123,0.0024917603,0.0008054332,0.00047602633,0.0005101468,0.000075464326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044714184,0.00087163644,0.00045930504,0.0021918183,0.00016255883,0.002835761,0.00069535204,0.0008237541,0.0012296248],"category_scores_gemma":[0.016267361,0.00018968106,0.0006464438,0.0018412855,0.0006091673,0.002896741,0.0008956024,0.00061434426,0.00026368795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012231115,0.00027335854,0.18952233,0.00024735744,0.0007827,0.00038334276,0.00083018927,0.49998784,0.0053677293,0.16509278,0.0011287784,0.13516043],"study_design_scores_gemma":[0.00009369561,0.0010415217,0.066816404,0.00009648949,0.00023978091,0.00046563812,0.0008197915,0.8616283,0.011019982,0.049327448,0.008290995,0.00015986325],"about_ca_topic_score_codex":0.0035557717,"about_ca_topic_score_gemma":0.0014908393,"teacher_disagreement_score":0.0044714184,"about_ca_system_score_codex":0.0009898555,"about_ca_system_score_gemma":0.0004002925,"threshold_uncertainty_score":0.023647428},"labels":[],"label_agreement":null},{"id":"W4317503955","doi":"10.5430/ijfr.v14n1p41","title":"The Size Effect and the Value Effect in the American Stock Market","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Economics; Period (music); Market efficiency; Stock market; Efficient-market hypothesis; Market size; Econometrics; Stock (firearms); Market value; Financial economics; Mathematics; Statistics; Physics; Commerce; Accounting; History","score_opus":0.11407966594426583,"score_gpt":0.5267505600953215,"score_spread":0.4126708941510557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317503955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992305,0.00086949824,0.0020443397,0.00018300218,0.000018397064,0.000013304585,0.000108411456,0.000010886032,0.0044470574],"genre_scores_gemma":[0.9990814,0.00012992095,0.00026376612,0.000018775581,0.000026160353,0.0000029301852,0.00007645274,0.000004730024,0.00039570956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984193,0.00060787087,0.00012785937,0.0003185458,0.00040414577,0.00012221948],"domain_scores_gemma":[0.96533895,0.023825116,0.0069446117,0.001869519,0.0014978796,0.00052403385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004313068,0.00020553869,0.00033434742,0.0012915098,0.00019558851,0.0007735272,0.0003145438,0.00038965122,0.0015404423],"category_scores_gemma":[0.023717156,0.00011839715,0.00048026678,0.0010245573,0.00097563345,0.0013246357,0.00063326064,0.0004892407,0.00018639257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003511735,0.00008686137,0.960502,0.000050627394,0.00031373522,0.00018663175,0.00020847455,0.004276189,0.0019575288,0.0036003008,0.00030278158,0.02816368],"study_design_scores_gemma":[0.000011578506,0.00016639255,0.9904289,0.00000915778,0.00012377124,0.00008505748,0.00013717459,0.0053846748,0.0008346317,0.0021474562,0.00065878854,0.00001234775],"about_ca_topic_score_codex":0.0033584982,"about_ca_topic_score_gemma":0.0042246995,"teacher_disagreement_score":0.004313068,"about_ca_system_score_codex":0.0004978549,"about_ca_system_score_gemma":0.0004000432,"threshold_uncertainty_score":0.022809923},"labels":[],"label_agreement":null},{"id":"W4319866917","doi":"10.5430/ijfr.v14n1p71","title":"Innovation, Business Strategies and Stock Returns in Biotechnology Industry","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Stock (firearms); Industrial organization; Event study; Stock market; Marketing; Accounting","score_opus":0.09071973027280521,"score_gpt":0.37547499122843664,"score_spread":0.2847552609556314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319866917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825805,0.0002584,0.0003751188,0.00007814133,0.0000029546557,0.0000072968273,0.00006363911,0.0000091454485,0.00094724714],"genre_scores_gemma":[0.99955374,0.00006870217,0.000059037415,0.000009881736,0.0000075994644,0.0000029513303,0.000055012344,0.0000010820239,0.00024202914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994449,0.00015895544,0.000046198318,0.000080276084,0.00015230937,0.00011739445],"domain_scores_gemma":[0.9752308,0.014745723,0.007826631,0.00036310314,0.000702581,0.0011311218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019975025,0.00022070354,0.00027594707,0.0011284534,0.00018010905,0.0014504776,0.0002614716,0.0007617304,0.001872379],"category_scores_gemma":[0.011747773,0.00009855528,0.0003765973,0.00095152477,0.00039723545,0.0010087779,0.00042027942,0.00065976015,0.00041895697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004293787,0.0004935061,0.96989965,0.00003538606,0.00015263738,0.00040131077,0.00016497695,0.006329864,0.0026871176,0.0015215604,0.00024438187,0.017640129],"study_design_scores_gemma":[0.000016383347,0.0005467862,0.9738623,0.000008628372,0.00006397649,0.00017427954,0.00016665162,0.02245146,0.001275189,0.0011156083,0.0002972873,0.000021579335],"about_ca_topic_score_codex":0.001616182,"about_ca_topic_score_gemma":0.0013496194,"teacher_disagreement_score":0.0019975025,"about_ca_system_score_codex":0.00065503555,"about_ca_system_score_gemma":0.00024764598,"threshold_uncertainty_score":0.01056391},"labels":[],"label_agreement":null},{"id":"W4320013839","doi":"10.5430/ijfr.v14n1p53","title":"Tanzania’s National Financial Inclusion Framework and How It Facilitated Financial Inclusion: A Forgotten Political-Economic Story","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Tanzania; Politics; Inclusion (mineral); Inclusion–exclusion principle; Financial services; Financial literacy; Finance; Economics; Political science; Economic growth; Sociology; Social science; Socioeconomics","score_opus":0.08483476060641539,"score_gpt":0.36277406233483955,"score_spread":0.2779393017284242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320013839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61098266,0.0051360377,0.00397569,0.18386,0.00085551565,0.00013105103,0.00017138143,0.000051287534,0.1948364],"genre_scores_gemma":[0.9903183,0.0005207799,0.0010937116,0.0032936581,0.000051597544,0.00004977723,0.000020181662,0.000011500282,0.0046405336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9973544,0.0013853596,0.000061815255,0.00009767884,0.00021360509,0.00088706607],"domain_scores_gemma":[0.9973966,0.0013238197,0.0003019783,0.000116416,0.00029655235,0.0005646213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056181634,0.00025622424,0.00020935324,0.0008576199,0.009696601,0.0049164747,0.00062249,0.0014897337,0.003940375],"category_scores_gemma":[0.0059084496,0.00017076624,0.00019045745,0.0008975492,0.009895965,0.003951911,0.0065442915,0.0028084768,0.00022672882],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008804402,0.00010435284,0.014214617,0.00041491972,0.000012536148,0.0034629295,0.304206,0.00024936278,0.0011935456,0.60054445,0.022521049,0.052988175],"study_design_scores_gemma":[0.000042318836,0.00017155317,0.036678985,0.0016678635,0.000043386277,0.0012754678,0.39836913,0.00079806685,0.0012405146,0.06575021,0.4938829,0.000079602854],"about_ca_topic_score_codex":0.018473372,"about_ca_topic_score_gemma":0.039131474,"teacher_disagreement_score":0.018473372,"about_ca_system_score_codex":0.007681299,"about_ca_system_score_gemma":0.0103451675,"threshold_uncertainty_score":0.055731952},"labels":[],"label_agreement":null},{"id":"W4323350006","doi":"10.5430/ijfr.v14n2p18","title":"Predicting Long-Run and Short-Run Movement of Sectoral Index: Evidence From Philippine Stock Market","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cointegration; Short run; Economics; Granger causality; Index (typography); Predictability; Econometrics; Johansen test; Investment (military); Stock market index; Stock exchange; Stock (firearms); Stock market; Financial economics; Error correction model; Monetary economics; Finance; Statistics; Mathematics","score_opus":0.32507634093510385,"score_gpt":0.5207878285886023,"score_spread":0.19571148765349844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323350006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981464,0.00025860997,0.00035653118,0.00017350682,0.000006450256,0.000004764892,0.00034076994,0.000014024843,0.0006989598],"genre_scores_gemma":[0.9984895,0.00030048253,0.00022778835,0.0000151006325,0.000015301512,0.0000037301263,0.0007014515,0.0000030082485,0.00024350322],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997211,0.000080791106,0.000031647367,0.000053534277,0.0000730313,0.00003978633],"domain_scores_gemma":[0.99636334,0.0014884967,0.0011276747,0.0001798311,0.0005626658,0.00027804085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011343608,0.00034157222,0.00019171133,0.0011741555,0.00018947518,0.00085960305,0.0002736087,0.0003409092,0.0011510716],"category_scores_gemma":[0.004516211,0.00013690548,0.0002872868,0.001149213,0.00022598534,0.00077928667,0.00028271868,0.0005965465,0.00030654337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008127321,0.00012418228,0.97755927,0.00003989848,0.00009588973,0.0002528098,0.0002517032,0.0035973126,0.00052488927,0.0003145114,0.00086094346,0.0162974],"study_design_scores_gemma":[0.000011528359,0.00013270916,0.95575714,0.000027749571,0.00007410076,0.00007361861,0.00045953618,0.041163675,0.0006520192,0.00044296117,0.0011852199,0.000019733827],"about_ca_topic_score_codex":0.018221628,"about_ca_topic_score_gemma":0.017588604,"teacher_disagreement_score":0.018221628,"about_ca_system_score_codex":0.00033576984,"about_ca_system_score_gemma":0.0005273314,"threshold_uncertainty_score":0.0362311},"labels":[],"label_agreement":null},{"id":"W4323350037","doi":"10.5430/ijfr.v14n2p1","title":"The Restraining Effect of Human Capital Mismatch and Structure Distortion on Economic Growth -- A New Structural Economics Analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Distortion (music); Human capital; Economics; Monopoly; Structural capital; Economic system; Microeconomics; Economic capital; Individual capital; Market economy; Engineering; Telecommunications","score_opus":0.04211696575405563,"score_gpt":0.3319344679709953,"score_spread":0.2898175022169397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323350037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7083946,0.0026066937,0.2364506,0.0066401563,0.00012545357,0.00010959299,0.00035052554,0.00016516642,0.045157183],"genre_scores_gemma":[0.9962159,0.00041392926,0.002078832,0.0000705495,0.000037251608,0.000017278908,0.000025801688,0.000005903539,0.0011344885],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994442,0.00014405148,0.000034996297,0.00011474089,0.00013789472,0.00012414699],"domain_scores_gemma":[0.9981623,0.0006945578,0.0005419132,0.00021868876,0.00024633863,0.000136295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010318215,0.00037734353,0.00042191002,0.0009835932,0.00047910216,0.0012084058,0.00054475554,0.00048554933,0.0030104737],"category_scores_gemma":[0.003992862,0.00019233969,0.00071138726,0.0007146911,0.0018382584,0.002464955,0.0013839785,0.00069208187,0.00016652395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013136065,0.00013316232,0.09420831,0.00026757352,0.00020334846,0.0008538712,0.0010373184,0.10924988,0.0051238476,0.7231341,0.0020673077,0.063589945],"study_design_scores_gemma":[0.000075130694,0.00021908955,0.081842616,0.00008346681,0.00018123003,0.00043000508,0.0010936451,0.21161349,0.0034384811,0.68993604,0.0110242935,0.00006253163],"about_ca_topic_score_codex":0.00338768,"about_ca_topic_score_gemma":0.0024394323,"teacher_disagreement_score":0.00338768,"about_ca_system_score_codex":0.0017616726,"about_ca_system_score_gemma":0.0011975677,"threshold_uncertainty_score":0.012781918},"labels":[],"label_agreement":null},{"id":"W4324317433","doi":"10.5430/ijfr.v14n2p31","title":"Financial Deepening, OFDI and Economic Growth: Based on the Perspectives of Both China and Host Countries","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial deepening; China; Foreign direct investment; Spillover effect; Economics; Error correction model; Financial market; International economics; Economic system; Macroeconomics; Financial intermediary; Finance; Cointegration; Geography; Econometrics","score_opus":0.042931516193506034,"score_gpt":0.30275019397647035,"score_spread":0.2598186777829643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324317433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413822,0.005312006,0.015877523,0.005591474,0.000072966286,0.00003832752,0.00050553144,0.0000307214,0.03118911],"genre_scores_gemma":[0.9951383,0.0022993563,0.0010438267,0.00008546037,0.00003296208,0.000009658624,0.000114931194,0.0000019227869,0.001273476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996755,0.00010492325,0.000016595603,0.000059513033,0.00006233868,0.000081164435],"domain_scores_gemma":[0.99953306,0.000120845245,0.00015986463,0.000023358209,0.000093381255,0.00006947505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007495425,0.0004605646,0.0002920907,0.0019291808,0.0003641642,0.0017543982,0.0002982859,0.00034971803,0.001404409],"category_scores_gemma":[0.0008625227,0.00010054943,0.00053470785,0.0017734279,0.0007394958,0.0019364109,0.0012513024,0.0006553324,0.0000484299],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010279852,0.0001050945,0.54429275,0.00044451904,0.00044069104,0.0023355167,0.0028760326,0.048116025,0.0031897975,0.30395326,0.0024192168,0.09172435],"study_design_scores_gemma":[0.000033744964,0.00021474421,0.698972,0.00047359322,0.00043962,0.0006616354,0.007828286,0.16687343,0.0032330072,0.09529139,0.02586312,0.00011553423],"about_ca_topic_score_codex":0.023833014,"about_ca_topic_score_gemma":0.016434629,"teacher_disagreement_score":0.023833014,"about_ca_system_score_codex":0.0017765337,"about_ca_system_score_gemma":0.0018405066,"threshold_uncertainty_score":0.047388554},"labels":[],"label_agreement":null},{"id":"W4360982778","doi":"10.5430/ijfr.v14n2p71","title":"Abnormal Returns From Hedging, Firm Size, and the Fama and French Multifactor Models","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sophistication; Shareholder; Economics; Financial economics; Returns to scale; Sample (material); Scale (ratio); Hedge; Monetary economics; Econometrics; Finance; Corporate governance; Microeconomics","score_opus":0.11853650023513247,"score_gpt":0.3579733796030487,"score_spread":0.23943687936791624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360982778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9316383,0.003127093,0.04652344,0.00386268,0.00015346133,0.00015651391,0.002614813,0.00034784814,0.011575879],"genre_scores_gemma":[0.99316746,0.00060953334,0.0031256254,0.00016518419,0.00014150364,0.000037545327,0.0010219559,0.000016357351,0.0017148661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836606,0.00069697533,0.00009534199,0.00026474745,0.00032358902,0.000253257],"domain_scores_gemma":[0.9701872,0.021301458,0.0050195735,0.0018622688,0.0007628496,0.0008666592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074085975,0.0011385932,0.0011210969,0.003531764,0.0006784232,0.0031917228,0.0016606752,0.0017066338,0.0066864765],"category_scores_gemma":[0.028501078,0.0002588782,0.0021528208,0.0036569803,0.0014907072,0.002322358,0.0016527522,0.0018884067,0.0007505832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008849964,0.00042408123,0.6204041,0.0002127253,0.0019295068,0.0018705273,0.0008766325,0.21813375,0.0011133366,0.06096015,0.011271765,0.08191839],"study_design_scores_gemma":[0.00016161804,0.00073636835,0.29153273,0.00018913145,0.0009514081,0.00090393075,0.0010747375,0.58725744,0.0011087662,0.10721731,0.008666802,0.00019976834],"about_ca_topic_score_codex":0.023553612,"about_ca_topic_score_gemma":0.009813666,"teacher_disagreement_score":0.023553612,"about_ca_system_score_codex":0.0016461664,"about_ca_system_score_gemma":0.0009891089,"threshold_uncertainty_score":0.04683304},"labels":[],"label_agreement":null},{"id":"W4361011363","doi":"10.5430/ijfr.v14n2p52","title":"An Empirical Analysis of Private Equity, Listed Private Equity and Public Equity","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Equity capital markets; Club deal; Private equity secondary market; Private equity fund; Private equity; Private investment in public equity; Private equity firm; Equity risk; Business; Equity ratio; Equity (law); Comparability; Finance; Economics; Accounting; Political science","score_opus":0.19782842547090645,"score_gpt":0.4651784522099379,"score_spread":0.26735002673903147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361011363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99465597,0.00041177706,0.00018251842,0.0002721055,0.0000064732585,0.00001462167,0.00066635845,0.0000045469505,0.003785682],"genre_scores_gemma":[0.99704856,0.00023071439,0.00006387283,0.00002677374,0.000020490446,0.000010130929,0.0013258968,0.0000028723496,0.0012707602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988136,0.00036211472,0.000080380385,0.00011916975,0.00029255613,0.0003321481],"domain_scores_gemma":[0.9706614,0.018052557,0.0072630076,0.0005896992,0.0015509354,0.0018825042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019327622,0.00028486698,0.00030718086,0.0023183576,0.00043932104,0.0017876296,0.00048841967,0.000598454,0.007341078],"category_scores_gemma":[0.009943363,0.0001664841,0.00051255047,0.003914892,0.000913851,0.002245753,0.0010195718,0.0011847634,0.001144015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013027423,0.0003208983,0.9880007,0.000034151806,0.000058398808,0.0002350852,0.00039137714,0.0005935289,0.00009342887,0.003405377,0.0011576156,0.005579127],"study_design_scores_gemma":[0.000011977592,0.00020756034,0.98799706,0.000050620132,0.000048271122,0.00017815364,0.00380281,0.0035794806,0.00018818676,0.0011856855,0.0027393748,0.000010728813],"about_ca_topic_score_codex":0.007516167,"about_ca_topic_score_gemma":0.0057939887,"teacher_disagreement_score":0.007516167,"about_ca_system_score_codex":0.0009517718,"about_ca_system_score_gemma":0.000819226,"threshold_uncertainty_score":0.024558365},"labels":[],"label_agreement":null},{"id":"W4362576132","doi":"10.5430/ijfr.v14n2p79","title":"Improvisation in the Management of Lithuanian Art Organisations","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Creativity in Education and Neuroscience","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Improvisation; Creativity; Lithuanian; Phenomenon; Business; Product (mathematics); Marketing; Qualitative research; New product development; Knowledge management; Sociology; Public relations; Political science; Psychology; Computer science; Social science; Social psychology; Epistemology","score_opus":0.1557796750389004,"score_gpt":0.5175185589356635,"score_spread":0.36173888389676306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362576132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97033364,0.00082905375,0.00054081844,0.002685156,0.000029933659,0.000043821612,0.0000072847915,0.000010778542,0.025519526],"genre_scores_gemma":[0.9965108,0.00018383216,0.00016919173,0.00013478597,0.000009412175,0.000013288822,0.00000390776,0.000002964351,0.002971875],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99571097,0.0023544019,0.0001394143,0.00018505061,0.0005820883,0.0010280487],"domain_scores_gemma":[0.99728537,0.0011607711,0.0006586057,0.00009142914,0.0001850938,0.000618698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023282664,0.00018478368,0.00024307451,0.0016389217,0.009518025,0.0059535126,0.0009872885,0.0012686665,0.0032936728],"category_scores_gemma":[0.0036450431,0.00015308084,0.00015739273,0.0012264316,0.0074713603,0.0017619848,0.0042407652,0.001399849,0.0002637131],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006353189,0.00016847324,0.014742603,0.0001848826,0.000009483242,0.0028293028,0.9145157,0.00026272406,0.0011144214,0.020118756,0.0016998448,0.044290356],"study_design_scores_gemma":[0.000006495917,0.00008002533,0.035164155,0.00024646858,0.0000061595674,0.0008434211,0.91106915,0.0004002448,0.0005310487,0.003214034,0.048415825,0.000023025064],"about_ca_topic_score_codex":0.0037421852,"about_ca_topic_score_gemma":0.0064421636,"teacher_disagreement_score":0.009518025,"about_ca_system_score_codex":0.0061625373,"about_ca_system_score_gemma":0.005325061,"threshold_uncertainty_score":0.044712543},"labels":[],"label_agreement":null},{"id":"W4377107670","doi":"10.5430/ijfr.v14n3p1","title":"Application of Machine Learning With News Sentiment in Stock Trading Strategies","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Machine learning; Technical analysis; Artificial intelligence; Support vector machine; Computer science; Trading strategy; Sentiment analysis; Gradient boosting; Artificial neural network; Random forest; Econometrics; Economics; Financial economics","score_opus":0.23022540091517307,"score_gpt":0.5227163559912547,"score_spread":0.2924909550760816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377107670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495717,0.00068927585,0.04262116,0.0006911723,0.00012336065,0.00013526775,0.00017061393,0.00033480622,0.005662534],"genre_scores_gemma":[0.99356407,0.000067781926,0.00604543,0.000034536093,0.000030376981,0.000014556837,0.00006930322,0.0000047982394,0.0001692451],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972031,0.0013873387,0.0002606342,0.0003496928,0.00061876245,0.00018057924],"domain_scores_gemma":[0.9903709,0.0067752926,0.0012053702,0.00040088582,0.0010722394,0.00017521583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062159263,0.0010850297,0.00067754707,0.0017438632,0.00025736936,0.001366101,0.00061642606,0.0008681526,0.0005671705],"category_scores_gemma":[0.023133652,0.0002441611,0.00051373534,0.0013725418,0.00041199612,0.0020802529,0.0006212516,0.00091615965,0.00020273493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007170191,0.0012110769,0.36411554,0.0002508798,0.00055423984,0.00032495687,0.00032591805,0.30636835,0.0043720575,0.0035494477,0.0013794745,0.31683105],"study_design_scores_gemma":[0.00001873827,0.0002573645,0.028794216,0.000023280247,0.000050643248,0.000038461858,0.00008993726,0.96694225,0.0018676837,0.0014983177,0.00040021382,0.000018853349],"about_ca_topic_score_codex":0.0028132736,"about_ca_topic_score_gemma":0.0017046168,"teacher_disagreement_score":0.0062159263,"about_ca_system_score_codex":0.0007090444,"about_ca_system_score_gemma":0.0006419503,"threshold_uncertainty_score":0.032873392},"labels":[],"label_agreement":null},{"id":"W4377107696","doi":"10.5430/ijfr.v14n3p22","title":"Does Working Capital Management Impact How Well a Company Performs? Panel Data Analysis on the Textile Industries of Bangladesh","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Working capital; Accounts receivable; Accounts payable; Panel data; Cash conversion cycle; Business; Hausman test; Collateral; Deferral; Capital expenditure; Fixed effects model; Operations management; Finance; Economics; Cash flow; Econometrics; Operating cash flow","score_opus":0.11797257094489917,"score_gpt":0.34246014427705085,"score_spread":0.2244875733321517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377107696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99648356,0.000104562,0.00006789376,0.00018584014,0.0000023244245,0.0000052791593,0.001075532,0.0000022224426,0.0020727082],"genre_scores_gemma":[0.9990145,0.000057383226,0.000020587138,0.000012227875,0.000002256728,0.0000028235884,0.0005333846,7.29067e-7,0.00035607096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994748,0.00014801425,0.000047686106,0.00007260322,0.00009212018,0.00016479603],"domain_scores_gemma":[0.99557245,0.0012785613,0.0018599837,0.00023579434,0.00045164424,0.0006014591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007597788,0.00014581931,0.00018485877,0.0007382252,0.0003203398,0.0010057148,0.00028499466,0.00031501194,0.003063982],"category_scores_gemma":[0.003219603,0.00007915789,0.00024011574,0.0015579676,0.00036783985,0.00061923225,0.00044750972,0.000382955,0.00070758676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039731312,0.000034059303,0.994255,0.000009690704,0.00003547323,0.00007066801,0.0004213561,0.00038576563,0.00014479242,0.00011337195,0.00043131085,0.0040588295],"study_design_scores_gemma":[0.0000010363732,0.00003567977,0.9982021,0.000008151247,0.000009049297,0.000018078297,0.0008529361,0.0002661869,0.00007510381,0.000042650016,0.0004845135,0.000004486739],"about_ca_topic_score_codex":0.030549122,"about_ca_topic_score_gemma":0.048115656,"teacher_disagreement_score":0.030549122,"about_ca_system_score_codex":0.0007124141,"about_ca_system_score_gemma":0.0003724285,"threshold_uncertainty_score":0.060742557},"labels":[],"label_agreement":null},{"id":"W4380271996","doi":"10.5430/ijfr.v14n3p30","title":"Corporate Governance Mechanisms and Stock Price Volatility: The Mediating Role of Dividend Policy: Evidence From Emerging Markets","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Stock exchange; Dividend policy; Business; Audit committee; Volatility (finance); Monetary economics; Leverage (statistics); Financial economics; Dividend; Economics; Accounting; Finance","score_opus":0.06363681656509437,"score_gpt":0.3360453443030548,"score_spread":0.2724085277379604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380271996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886325,0.004661339,0.00037021193,0.0014422009,0.000025063997,0.00001637891,0.00024943493,0.0000051064103,0.004597721],"genre_scores_gemma":[0.9973048,0.0017785787,0.00008277696,0.00009378124,0.000034962573,0.0000036398046,0.00017632043,0.000002139086,0.0005230249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944097,0.0001652703,0.000051217892,0.00011635185,0.00012014812,0.00010603741],"domain_scores_gemma":[0.98837376,0.0051292386,0.00470614,0.00046690824,0.0007361585,0.00058779446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173463,0.00027600155,0.000355083,0.0009804916,0.0003937972,0.0019186776,0.0004524165,0.0005991771,0.0041002133],"category_scores_gemma":[0.005941982,0.00014985926,0.0007176662,0.0009949707,0.0006045803,0.001464679,0.0008124715,0.00085857575,0.00026175447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020088602,0.00020171939,0.9688384,0.00015944874,0.0006546081,0.0006840763,0.0007479308,0.00047744476,0.00029425303,0.0051916917,0.00067893305,0.021870684],"study_design_scores_gemma":[0.000026492926,0.00009427665,0.992246,0.000096722244,0.00038237358,0.00009373068,0.0011939447,0.0013872943,0.00024236583,0.0018560846,0.0023701757,0.000010494951],"about_ca_topic_score_codex":0.010321877,"about_ca_topic_score_gemma":0.008999592,"teacher_disagreement_score":0.010321877,"about_ca_system_score_codex":0.00045394362,"about_ca_system_score_gemma":0.0007510519,"threshold_uncertainty_score":0.020523608},"labels":[],"label_agreement":null},{"id":"W4383097878","doi":"10.5430/ijfr.v14n3p43","title":"External Financing of Budget on Sustainable Economic Growth in Nigeria","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Cointegration; Finance; Vector autoregression; Loan; Macroeconomics; Monetary economics; Econometrics","score_opus":0.05878307486654472,"score_gpt":0.33672079640970964,"score_spread":0.27793772154316493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383097878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9182256,0.0055961604,0.00058945845,0.0035804305,0.00010381366,0.000041453826,0.00061664404,0.000009733413,0.07123672],"genre_scores_gemma":[0.99368674,0.0032277314,0.00016577568,0.00006957264,0.000019461553,0.000013987476,0.00014283467,0.0000027839326,0.0026711458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996737,0.00010299941,0.00003159629,0.0000253372,0.000063961284,0.00010242979],"domain_scores_gemma":[0.99783844,0.0007399343,0.0008860648,0.000035389174,0.00032425742,0.00017593594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008599123,0.00017244802,0.00015218285,0.0010029351,0.0005169481,0.002236797,0.00011597672,0.0002785566,0.0032438876],"category_scores_gemma":[0.003383928,0.00009075565,0.00009868543,0.0013780075,0.00054020924,0.0012388799,0.001024611,0.0005004761,0.00016776836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004997962,0.00023056571,0.5962371,0.0010561611,0.000058109585,0.0033391113,0.004403163,0.007828606,0.0010301953,0.24634738,0.011511934,0.12745796],"study_design_scores_gemma":[0.00006356572,0.00029112102,0.74846977,0.0044966633,0.00020297605,0.0015630606,0.026728962,0.010632634,0.0033523517,0.05155623,0.15258573,0.00005693177],"about_ca_topic_score_codex":0.0069906656,"about_ca_topic_score_gemma":0.009244771,"teacher_disagreement_score":0.0069906656,"about_ca_system_score_codex":0.0018147202,"about_ca_system_score_gemma":0.0025655483,"threshold_uncertainty_score":0.013899982},"labels":[],"label_agreement":null},{"id":"W4385281976","doi":"10.5430/ijfr.v14n3p58","title":"A Model of Uniformity in a Preference Function","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Converse; Preference; Function (biology); Psychology; Economics; Econometrics; Social psychology; Microeconomics; Computer science; Mathematics; Biology","score_opus":0.2994871562748347,"score_gpt":0.3579742861703243,"score_spread":0.0584871298954896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385281976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09410591,0.00062473386,0.85012203,0.0033755098,0.00007171905,0.00007862019,0.00047551843,0.00023762559,0.050908346],"genre_scores_gemma":[0.91340595,0.00046534848,0.05871126,0.00035580507,0.00016200442,0.00019827479,0.00025822152,0.00007339911,0.026369812],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99685633,0.0014736746,0.00013775294,0.0006493422,0.00049828645,0.00038464],"domain_scores_gemma":[0.9950022,0.0030120409,0.0004749357,0.0007047037,0.0005247287,0.00028131736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003955011,0.00071888324,0.0009069666,0.0012276577,0.0011757992,0.0027378935,0.0018756685,0.0016250792,0.009595277],"category_scores_gemma":[0.010579779,0.00047455516,0.0014742891,0.0018259055,0.0030073682,0.0062103556,0.0016941563,0.002491795,0.0015143963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037210975,0.000016106216,0.00042940225,0.000018705183,0.00001672917,0.00010220404,0.00020905513,0.010109988,0.0002976627,0.9829253,0.00047457303,0.005363072],"study_design_scores_gemma":[0.000025017907,0.000053015316,0.00034801915,0.000012897448,0.00001278404,0.00015740699,0.00006551258,0.08108495,0.00015094277,0.9146932,0.0033764227,0.000019858251],"about_ca_topic_score_codex":0.0031981997,"about_ca_topic_score_gemma":0.0014757626,"teacher_disagreement_score":0.009595277,"about_ca_system_score_codex":0.002248458,"about_ca_system_score_gemma":0.00084481505,"threshold_uncertainty_score":0.032099366},"labels":[],"label_agreement":null},{"id":"W4387848571","doi":"10.5430/ijfr.v14n4p1","title":"Characteristics and Implications of the Current International Situation","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Belt and Road Initiative","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Geopolitics; Rivalry; Interdependence; Nationalism; Political economy; Political science; Order (exchange); Economic interdependence; Independence (probability theory); Constructive; Economic system; Diplomacy; Economics; International relations; Politics; Development economics; Law","score_opus":0.1598181189424516,"score_gpt":0.3986561858280481,"score_spread":0.23883806688559653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387848571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5246544,0.004036245,0.0010351205,0.020503527,0.000386937,0.00006796786,0.0007920672,0.00004225545,0.44848138],"genre_scores_gemma":[0.9819226,0.0030380879,0.0004077119,0.0010078108,0.00023865074,0.000032306398,0.00033299334,0.00002980653,0.012989955],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988772,0.000253384,0.000068373796,0.00011948108,0.00025106617,0.0004304916],"domain_scores_gemma":[0.9972282,0.00031142237,0.0007638138,0.00009971443,0.00057983556,0.0010169116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013773292,0.00015236174,0.00020268562,0.0018655512,0.0025606614,0.004615779,0.0005145256,0.00095670077,0.011307973],"category_scores_gemma":[0.0035330968,0.00011815534,0.00017332536,0.003146537,0.0017152914,0.0036982954,0.0019320705,0.0011267221,0.0013502429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000417533,0.00042683838,0.38080138,0.0005303671,0.00006148456,0.0059523587,0.031309675,0.0014935677,0.002070755,0.291253,0.06224498,0.22343808],"study_design_scores_gemma":[0.000019175186,0.00028287177,0.34011054,0.00038498288,0.000029002083,0.0052311253,0.11082551,0.0007286706,0.0005432488,0.039443083,0.50227,0.00013179446],"about_ca_topic_score_codex":0.0039449306,"about_ca_topic_score_gemma":0.0065868758,"teacher_disagreement_score":0.011307973,"about_ca_system_score_codex":0.0017455046,"about_ca_system_score_gemma":0.0014345387,"threshold_uncertainty_score":0.037828982},"labels":[],"label_agreement":null},{"id":"W4389620465","doi":"10.5430/ijfr.v14n4p10","title":"Financial Deregulation, Monetary Tightening, Oil Crises and Transnational Capital Flows: The United States and the Origins of Neoliberal Financial Policies","year":2023,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Deregulation; Economics; Financial system; Financial regulation; Finance; Restructuring; Position (finance); Financial market; Business; Market economy","score_opus":0.05042736889735557,"score_gpt":0.30660077704606853,"score_spread":0.256173408148713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389620465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47763485,0.04807132,0.001948116,0.08629581,0.00048058204,0.000014316721,0.00012349056,0.0000473438,0.38538423],"genre_scores_gemma":[0.9803885,0.013645572,0.00031211486,0.0023263304,0.00011187634,0.000005969074,0.000018084238,0.000007103792,0.003184531],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997869,0.000066180815,0.000010675074,0.000033561813,0.00003079376,0.000071940485],"domain_scores_gemma":[0.9994816,0.00017503544,0.00020360312,0.000034258235,0.000057276844,0.00004819984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057788874,0.00020756322,0.00013593907,0.0009600807,0.0013086132,0.005051689,0.00020952798,0.00153009,0.0024673184],"category_scores_gemma":[0.0008739088,0.00013477926,0.0001577983,0.001335558,0.005058563,0.0040241806,0.0019248265,0.001738544,0.00009798478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005627681,0.000036439244,0.0073376754,0.000070048714,0.0000132989135,0.0003291894,0.0050200443,0.0006395437,0.0002299928,0.93880033,0.0037376524,0.04372951],"study_design_scores_gemma":[0.000043711098,0.000111400375,0.059272423,0.0012451248,0.00005481685,0.0006640748,0.021919692,0.0023044238,0.0012937728,0.5000666,0.4129479,0.00007601441],"about_ca_topic_score_codex":0.011211083,"about_ca_topic_score_gemma":0.01660159,"teacher_disagreement_score":0.011211083,"about_ca_system_score_codex":0.0030527504,"about_ca_system_score_gemma":0.0013272485,"threshold_uncertainty_score":0.02229166},"labels":[],"label_agreement":null},{"id":"W4390811340","doi":"10.5430/ijfr.v15n1p1","title":"Forecasting and Cross-Correlation of Series on the Waste Generation, Population, GDP and Household Consumption Expenditures in Jordan","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; Population; Ceteris paribus; Gross domestic product; Autoregressive integrated moving average; Time series; Household waste; Econometrics; Agricultural economics; Economic growth; Statistics; Microeconomics; Mathematics; Engineering; Demography; Waste management","score_opus":0.11826355409951751,"score_gpt":0.3727548314906985,"score_spread":0.254491277391181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390811340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961675,0.00012633861,0.002490651,0.00021585099,0.000010497323,0.0000075241815,0.00034305113,0.000038795064,0.00059987407],"genre_scores_gemma":[0.99681026,0.00021447953,0.0014312353,0.000014150263,0.00001397109,0.000010456202,0.000995135,0.0000066539133,0.0005035597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956816,0.00015159138,0.000033171676,0.000089617446,0.00008697384,0.00007056285],"domain_scores_gemma":[0.9982547,0.00081702485,0.0003743767,0.000109450855,0.00035695962,0.00008747279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002254524,0.00045785203,0.00042910842,0.0010348852,0.00017374166,0.00074009964,0.00050343684,0.00064237224,0.0006978844],"category_scores_gemma":[0.004065911,0.00019870227,0.0005389608,0.0016479533,0.00024979588,0.0009631076,0.00043506848,0.0007501295,0.00025982872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033182997,0.00028838575,0.3789857,0.00009747236,0.00023560513,0.00076094345,0.00052715425,0.5646877,0.001801093,0.0037115219,0.0026913327,0.045881238],"study_design_scores_gemma":[0.0000113967235,0.000083216924,0.08116674,0.000014413804,0.000027669446,0.00003590479,0.00028972168,0.91526943,0.0011042698,0.0009895057,0.0009843225,0.000023487502],"about_ca_topic_score_codex":0.01819002,"about_ca_topic_score_gemma":0.010196987,"teacher_disagreement_score":0.01819002,"about_ca_system_score_codex":0.000812535,"about_ca_system_score_gemma":0.0007308794,"threshold_uncertainty_score":0.036168277},"labels":[],"label_agreement":null},{"id":"W4391521081","doi":"10.5430/ijfr.v15n1p19","title":"Are The Sudanese Banks Financially Sound?","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sound (geography); Business; Financial system; Acoustics; Physics","score_opus":0.06942593466096095,"score_gpt":0.3711667634631115,"score_spread":0.3017408288021506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391521081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897766,0.0007608986,0.000090513364,0.003877684,0.00003308242,0.0000064214164,0.00004786237,0.0000020844147,0.0054048696],"genre_scores_gemma":[0.99883276,0.0004954145,0.000052433323,0.00026345238,0.000015869131,0.0000025957056,0.000019290375,3.297556e-7,0.0003178903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921393,0.000266283,0.00003923492,0.00004820936,0.00016569844,0.0002666413],"domain_scores_gemma":[0.9962042,0.00102455,0.0015678701,0.00007462974,0.00057745475,0.00055145915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015808443,0.00016237603,0.00015681957,0.001141626,0.0019556019,0.0027199802,0.00028820912,0.00056498806,0.0028514725],"category_scores_gemma":[0.0060191466,0.00009541209,0.00008884051,0.0011456186,0.001472737,0.0014442275,0.0009103965,0.00066756416,0.0002336354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015247836,0.00016668523,0.87174195,0.00020553144,0.000036114623,0.0019576545,0.025374414,0.00021607116,0.0010111422,0.0143815195,0.004328575,0.08042784],"study_design_scores_gemma":[0.000015285372,0.00012770391,0.7832597,0.00042898394,0.00003755723,0.001619866,0.189742,0.00057649956,0.0004672342,0.00518188,0.018509181,0.000034100925],"about_ca_topic_score_codex":0.0075161066,"about_ca_topic_score_gemma":0.011133635,"teacher_disagreement_score":0.0075161066,"about_ca_system_score_codex":0.0016097856,"about_ca_system_score_gemma":0.002267499,"threshold_uncertainty_score":0.014944732},"labels":[],"label_agreement":null},{"id":"W4391580356","doi":"10.5430/ijfr.v15n1p36","title":"The Relationship Between Corporate Governance and Earnings Management: Evidence From Bangladesh","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Earnings; Earnings management; Accounting; Business; Economics; Finance","score_opus":0.08823330061944051,"score_gpt":0.33788326345844677,"score_spread":0.24964996283900626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391580356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931676,0.00080487767,0.000061005125,0.0004992309,0.0000039308147,0.000008108714,0.00040125407,0.0000014552521,0.005052641],"genre_scores_gemma":[0.99811375,0.0011597765,0.00004224264,0.00003811645,0.0000070580795,0.0000027278982,0.00021581161,7.6243543e-7,0.00041983597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997271,0.00007645664,0.00004218099,0.00003958586,0.00006698669,0.000047696234],"domain_scores_gemma":[0.99696714,0.0008138664,0.0015645126,0.000107066095,0.0003548957,0.00019258301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005698919,0.00016695465,0.00013896,0.0007572587,0.00041901073,0.0005651259,0.00017345778,0.00020613217,0.002472134],"category_scores_gemma":[0.0022922496,0.00009231235,0.000105985884,0.0020577044,0.0004737195,0.00040129488,0.00044805498,0.0002768465,0.00035125925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059579994,0.00006282505,0.97536135,0.00014078,0.000032213484,0.000450286,0.0024206021,0.000115443676,0.0002873597,0.00091777736,0.0007755202,0.019376293],"study_design_scores_gemma":[0.0000051226625,0.00004686542,0.9922321,0.000096471704,0.000028981229,0.00016166866,0.004480327,0.000115488605,0.0001539536,0.00020271375,0.0024699254,0.000006398896],"about_ca_topic_score_codex":0.024571704,"about_ca_topic_score_gemma":0.046559986,"teacher_disagreement_score":0.024571704,"about_ca_system_score_codex":0.00059929676,"about_ca_system_score_gemma":0.00065183605,"threshold_uncertainty_score":0.04885739},"labels":[],"label_agreement":null},{"id":"W4395955689","doi":"10.5430/ijfr.v15n2p1","title":"Inter-linkages Among Selected Stock Markets of South Asia: Revisit","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Commerce","keywords":"Stock (firearms); Economics; Financial economics; Financial system; Business; Econometrics; Geography","score_opus":0.05826579487536374,"score_gpt":0.34625823058450694,"score_spread":0.2879924357091432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395955689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935596,0.0019776286,0.00043353168,0.0002632217,0.000007536701,0.000008405215,0.00022161411,0.0000055250907,0.0035229812],"genre_scores_gemma":[0.99702793,0.0019522056,0.00027726425,0.000026015547,0.00001704024,0.0000047553604,0.00022053129,0.000002339705,0.00047203162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998672,0.00002511117,0.000017221071,0.000030184861,0.00003145057,0.000028901432],"domain_scores_gemma":[0.9989911,0.0002727522,0.000455073,0.00004577798,0.00016169513,0.00007363709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002857415,0.00022297607,0.00018452699,0.0021169018,0.0004031422,0.0017773743,0.00022262895,0.000169739,0.0028536997],"category_scores_gemma":[0.00093162846,0.00016300274,0.00043712684,0.0035709776,0.00037160362,0.0013341156,0.0007589184,0.00035084627,0.0002078177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046666257,0.000055741515,0.95965785,0.00020106572,0.00027210158,0.0020066227,0.0022787151,0.001167549,0.0020019752,0.00410211,0.00044638806,0.027763268],"study_design_scores_gemma":[0.0000053078934,0.00004724814,0.9864129,0.00009453175,0.00015369018,0.00081686967,0.0031612848,0.002478801,0.0006494145,0.002070474,0.0040997923,0.000009709081],"about_ca_topic_score_codex":0.008690733,"about_ca_topic_score_gemma":0.01075148,"teacher_disagreement_score":0.008690733,"about_ca_system_score_codex":0.00033955224,"about_ca_system_score_gemma":0.00083309493,"threshold_uncertainty_score":0.01728034},"labels":[],"label_agreement":null},{"id":"W4400055487","doi":"10.5430/ijfr.v15n3p20","title":"The Effect of Financial Inclusion on Enterprise Performance in Cameroon","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Inclusion (mineral); Business; Financial system; Economics; Finance; Psychology; Financial services; Social psychology","score_opus":0.015907848984121245,"score_gpt":0.32630587165506997,"score_spread":0.31039802267094874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400055487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971535,0.00023907053,0.000057056735,0.00059386087,0.000009876338,0.0000075874577,0.0000932884,0.0000021818103,0.0018435863],"genre_scores_gemma":[0.99954,0.00010924096,0.000025264852,0.000026082935,0.0000048052634,0.000003070369,0.0000360921,6.2485384e-7,0.00025482842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982298,0.0007145393,0.00008165873,0.00009438402,0.00016214057,0.0007174584],"domain_scores_gemma":[0.9949604,0.0012221921,0.0019279579,0.00010361116,0.0006490988,0.0011366527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016251853,0.00038415144,0.00024330779,0.0010146807,0.0012264852,0.0019003195,0.00030800517,0.00039283227,0.0025367097],"category_scores_gemma":[0.0046134307,0.00010501819,0.00026576567,0.0015786872,0.0010804717,0.0013503066,0.0021632214,0.0007932739,0.00018389536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038952188,0.00038842205,0.96717817,0.00009037643,0.0000663496,0.0011320658,0.003025898,0.0010699342,0.0005024757,0.0022382457,0.00082587556,0.02309271],"study_design_scores_gemma":[0.000004800376,0.00011347708,0.9916829,0.00009484476,0.000021862881,0.00008833661,0.005582774,0.0006932519,0.00026369898,0.00023887237,0.0012022505,0.000012982602],"about_ca_topic_score_codex":0.042163607,"about_ca_topic_score_gemma":0.043998778,"teacher_disagreement_score":0.042163607,"about_ca_system_score_codex":0.0025391008,"about_ca_system_score_gemma":0.0023123524,"threshold_uncertainty_score":0.08383638},"labels":[],"label_agreement":null},{"id":"W4400102789","doi":"10.5430/ijfr.v15n3p1","title":"Comparative Analysis of Risks and Their Impacts on the Banking Stability of Islamic and Conventional Banks in the MENA Region","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Market liquidity; Credit risk; Islamic banking; Business; Financial system; Stability (learning theory); Islam; Financial stability; Sample (material); Actuarial science; Econometrics; Economics; Finance; Computer science","score_opus":0.13940106873910177,"score_gpt":0.3942891040090073,"score_spread":0.25488803526990556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400102789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99930096,0.000087618355,0.00004749003,0.00005196917,0.000001172832,0.0000016329597,0.000019797753,7.808113e-7,0.00048852817],"genre_scores_gemma":[0.9997793,0.00005424379,0.00002222048,0.000005102864,0.0000032687308,6.463615e-7,0.000018882463,2.83365e-7,0.000116035364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947935,0.00018860919,0.00005100796,0.00007183918,0.00012352705,0.00008563359],"domain_scores_gemma":[0.9973488,0.0005730127,0.0014670053,0.00009715636,0.00027480724,0.00023919444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007149343,0.00014521214,0.00024081844,0.0008785148,0.0003977142,0.0010808449,0.00017141768,0.0002462061,0.0012472181],"category_scores_gemma":[0.0026387675,0.00009707846,0.000186588,0.0008705864,0.0006573977,0.00049680466,0.0007923733,0.00026565648,0.00014005812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016434964,0.000051493695,0.9850007,0.000023623243,0.000075179116,0.00056633377,0.0024533174,0.0006938866,0.000938738,0.0015580083,0.00011724835,0.008357052],"study_design_scores_gemma":[0.000003548237,0.00006325558,0.9952689,0.0000123493,0.00001787024,0.00025959485,0.0029419048,0.00061076245,0.00013894978,0.00028403715,0.0003928099,0.000005950685],"about_ca_topic_score_codex":0.003411312,"about_ca_topic_score_gemma":0.0054460093,"teacher_disagreement_score":0.003411312,"about_ca_system_score_codex":0.00041492342,"about_ca_system_score_gemma":0.000491828,"threshold_uncertainty_score":0.006782949},"labels":[],"label_agreement":null},{"id":"W4401233979","doi":"10.5430/ijfr.v15n3p33","title":"The Impact of Political Contributions and Election Bets on Abnormal Stock Returns and Shareholder Equity in Taiwan's Presidential Elections","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Political Influence and Corporate Strategies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Event study; Politics; Equity (law); Shareholder; Stock (firearms); Presidential election; Economics; Financial economics; Presidential system; Shareholder value; Monetary economics; Corporate governance; Finance; Political science; Law","score_opus":0.07708092597375432,"score_gpt":0.45245460150412764,"score_spread":0.3753736755303733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401233979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992144,0.000042400723,0.00003590183,0.000054063934,0.0000037152686,0.0000017603393,0.00001695892,0.0000018742218,0.00062887545],"genre_scores_gemma":[0.9997496,0.000014922577,0.000006974342,0.0000050271874,0.000008257676,8.77015e-7,0.000027859001,6.2417485e-7,0.00018596179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999331,0.00022345866,0.000043712105,0.00008550305,0.000118006814,0.00019830331],"domain_scores_gemma":[0.9854697,0.007168538,0.004838267,0.00040079074,0.00053661276,0.0015859642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015278086,0.00017995747,0.00023891158,0.0006936425,0.00023822828,0.001404855,0.00021892272,0.0005582841,0.0026130753],"category_scores_gemma":[0.010806066,0.000111855996,0.0002838076,0.0005819328,0.00046325094,0.00064425974,0.0005668011,0.00090359745,0.0002879619],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044145898,0.00025075136,0.98841876,0.000013600486,0.00009931581,0.0004936657,0.00025996697,0.0016097104,0.0009469396,0.0005261636,0.00021279854,0.00672694],"study_design_scores_gemma":[0.0000054919606,0.000104875,0.99666995,0.0000027870121,0.000025621948,0.00003865321,0.00022137785,0.0024824634,0.00016713377,0.00016155223,0.00011525133,0.000004831875],"about_ca_topic_score_codex":0.0033361602,"about_ca_topic_score_gemma":0.004662453,"teacher_disagreement_score":0.0033361602,"about_ca_system_score_codex":0.0004845813,"about_ca_system_score_gemma":0.00031983323,"threshold_uncertainty_score":0.008741558},"labels":[],"label_agreement":null},{"id":"W4401379234","doi":"10.5430/ijfr.v15n3p54","title":"Russia’s Invasion of Ukraine and Implications for the Ukrainian Hryvnia and the Russian Ruble","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ukrainian; Purchasing power parity; Geopolitics; Exchange rate; Economics; Currency; Political science; Development economics; Monetary economics; Politics","score_opus":0.11120293801679762,"score_gpt":0.38148966869778456,"score_spread":0.27028673068098696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401379234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974004,0.00027948702,0.00011131463,0.0002456335,0.000006121405,0.0000013764726,0.00004450167,0.000002054207,0.0019093317],"genre_scores_gemma":[0.99959713,0.000116758,0.000032108575,0.000018582059,0.0000039118077,7.5078265e-7,0.00005001396,0.0000013571951,0.00017950994],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99984646,0.00004489163,0.000014502677,0.000025454932,0.000027074679,0.00004157697],"domain_scores_gemma":[0.9995097,0.00012294832,0.00025484356,0.000018088087,0.00003919275,0.000055209424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045128094,0.000094906296,0.00020905086,0.00043788506,0.00041628748,0.0012797846,0.00012497924,0.00021849379,0.0010554262],"category_scores_gemma":[0.0013528902,0.0000692711,0.00019684595,0.00037344033,0.00052958797,0.0006076594,0.0009607066,0.00049200014,0.00008309912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035451402,0.00007352671,0.930169,0.00012529042,0.00018946762,0.0035819588,0.0076821083,0.008746606,0.0028373445,0.019314095,0.0010637434,0.025862407],"study_design_scores_gemma":[0.0000059495374,0.000060671166,0.98213047,0.00006713925,0.000036381127,0.00051052123,0.0070904824,0.0031799194,0.0005977702,0.002013551,0.004291383,0.000015850945],"about_ca_topic_score_codex":0.010980437,"about_ca_topic_score_gemma":0.0084753595,"teacher_disagreement_score":0.010980437,"about_ca_system_score_codex":0.00071825564,"about_ca_system_score_gemma":0.0007395694,"threshold_uncertainty_score":0.021833003},"labels":[],"label_agreement":null},{"id":"W4403169959","doi":"10.5430/ijfr.v15n4p1","title":"The Anomalous Behavior of Stock Prices on the Canadian Securities Exchange","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Business; Monetary economics; Financial system; Financial economics; Economics; Finance","score_opus":0.1092849194403107,"score_gpt":0.3400407655408549,"score_spread":0.23075584610054417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403169959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781542,0.0003127049,0.00088615954,0.0008910335,0.00003246961,0.000034152763,0.0022982184,0.000084898835,0.017306304],"genre_scores_gemma":[0.9965243,0.00015985334,0.00050041353,0.000037232698,0.000008795716,0.000007404715,0.0010054976,0.000010337017,0.0017462259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99660504,0.00018280423,0.00011098755,0.00023082322,0.0026059926,0.00026440123],"domain_scores_gemma":[0.98873913,0.002157864,0.0024892562,0.0006991352,0.005351869,0.0005627372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014860881,0.00026801965,0.00030509636,0.0044912104,0.0016891509,0.0016225938,0.0007540297,0.00039621582,0.0022957176],"category_scores_gemma":[0.024396937,0.00016440602,0.0002539643,0.0050727613,0.0009241878,0.00068324903,0.00054128986,0.00064301206,0.00029315893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004325478,0.000062709434,0.88655144,0.00009109119,0.00017166635,0.00067045767,0.0022934931,0.006645262,0.0043605817,0.021045513,0.011665239,0.066010095],"study_design_scores_gemma":[0.000009067316,0.00002227372,0.97890717,0.0000152884,0.000016020333,0.0001746269,0.0005495527,0.011580824,0.0013969659,0.00093965343,0.006338836,0.000049696762],"about_ca_topic_score_codex":0.8872664,"about_ca_topic_score_gemma":0.89396596,"teacher_disagreement_score":0.1127336,"about_ca_system_score_codex":0.015795143,"about_ca_system_score_gemma":0.0057873204,"threshold_uncertainty_score":0.22679496},"labels":[],"label_agreement":null},{"id":"W4403229593","doi":"10.5430/ijfr.v15n4p10","title":"SFDR Regulation (Level 2): What Impact on the Performance of Sustainable ETFs?","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization","score_opus":0.2333898669143977,"score_gpt":0.39900169503148286,"score_spread":0.16561182811708516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403229593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801695,0.00062535715,0.0013043155,0.001993365,0.00009535389,0.00010469212,0.00079064246,0.00008115271,0.014835734],"genre_scores_gemma":[0.9968862,0.00008263112,0.00042918266,0.0003735329,0.00008404715,0.000033610795,0.00037998785,0.0000062844124,0.0017246203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98353773,0.0028969028,0.0015886704,0.0013571685,0.007254728,0.003364699],"domain_scores_gemma":[0.88497674,0.029131494,0.05697733,0.006625375,0.015173128,0.0071158237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0139430985,0.00028871984,0.00057558465,0.0021684275,0.0007659898,0.0042457986,0.0010530876,0.001962373,0.0033337355],"category_scores_gemma":[0.061456293,0.00014383462,0.0008612925,0.0015746895,0.0012646659,0.002086165,0.0022911385,0.0016594992,0.00077795074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005579841,0.0003828267,0.91720444,0.00011932587,0.00016662428,0.00034739156,0.0007136644,0.0035492396,0.0020410658,0.00942466,0.004108745,0.061384026],"study_design_scores_gemma":[0.000038607057,0.00087464397,0.983386,0.00011912434,0.00007205852,0.00029637397,0.0009118385,0.002455621,0.0025864944,0.00238999,0.0068073217,0.0000618778],"about_ca_topic_score_codex":0.0060058213,"about_ca_topic_score_gemma":0.0039220224,"teacher_disagreement_score":0.0139430985,"about_ca_system_score_codex":0.0020112004,"about_ca_system_score_gemma":0.002708485,"threshold_uncertainty_score":0.07373899},"labels":[],"label_agreement":null},{"id":"W4403402361","doi":"10.5430/ijfr.v15n4p25","title":"BCT Crowdfunding: Is It the Bridge of Trust Required for Funding EU’s SMEs?","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Commission","keywords":"Bridge (graph theory); Business","score_opus":0.1819018190310777,"score_gpt":0.4195543313737818,"score_spread":0.2376525123427041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403402361","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2987506,0.023005104,0.06864826,0.35892507,0.002648808,0.00031593986,0.0007759182,0.0009905717,0.24593978],"genre_scores_gemma":[0.9673935,0.0051481905,0.0073674335,0.008742604,0.00046891996,0.000117148404,0.0001565805,0.0000969439,0.01050878],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9916823,0.0036240285,0.00041462708,0.0007255796,0.0018291867,0.0017243471],"domain_scores_gemma":[0.9757262,0.009799023,0.003416446,0.0034118,0.003802194,0.0038442882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012391462,0.0003046824,0.00047944434,0.0011705367,0.002361637,0.011014101,0.0011483709,0.005336491,0.007627231],"category_scores_gemma":[0.05171042,0.00022581925,0.000469886,0.001370657,0.0046817893,0.015648805,0.007604178,0.0024006413,0.0015115314],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035238714,0.00016521518,0.018848022,0.0012798811,0.00009749146,0.0017507719,0.008541202,0.0035430233,0.0029191962,0.6029456,0.06055765,0.2989995],"study_design_scores_gemma":[0.000121021236,0.00040750005,0.016666245,0.0036346836,0.000084121995,0.0015167729,0.01329171,0.005545651,0.0043468187,0.28648856,0.6677548,0.00014205751],"about_ca_topic_score_codex":0.003316515,"about_ca_topic_score_gemma":0.002509466,"teacher_disagreement_score":0.012391462,"about_ca_system_score_codex":0.0031034579,"about_ca_system_score_gemma":0.008745976,"threshold_uncertainty_score":0.0655331},"labels":[],"label_agreement":null},{"id":"W4404092259","doi":"10.5430/ijfr.v15n4p35","title":"Spillovers and Correlation Among Energy Futures Markets","year":2024,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Futures contract; Correlation; Economics; Econometrics; Energy (signal processing); Financial economics; Statistics; Mathematics","score_opus":0.0311131913432697,"score_gpt":0.308111149778312,"score_spread":0.2769979584350423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404092259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97736245,0.0009412858,0.012704203,0.0005615386,0.000029005369,0.000034080695,0.00032997367,0.00007079546,0.007966659],"genre_scores_gemma":[0.9979766,0.00031601742,0.00055391,0.00001657217,0.000021649957,0.0000067203405,0.0001154491,0.000003373243,0.0009898102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953794,0.00012399604,0.000031417734,0.000112066395,0.00011232362,0.00008218986],"domain_scores_gemma":[0.99786097,0.001051147,0.0005847725,0.00017114427,0.00019511263,0.00013691268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010734418,0.00024825588,0.0005399992,0.0014606063,0.00041671091,0.0014851078,0.0003229044,0.0005358441,0.004870171],"category_scores_gemma":[0.0047138925,0.00030948725,0.0007499119,0.0008741211,0.00052219146,0.0012146599,0.0011057709,0.0006444523,0.00026757058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041229656,0.00043223888,0.54147404,0.0001985147,0.0009229643,0.0038863234,0.0012909735,0.19376664,0.0056246067,0.1851574,0.004163258,0.06267075],"study_design_scores_gemma":[0.000048912643,0.00026110475,0.503315,0.00012456534,0.00037778867,0.00088555244,0.0010148279,0.37469402,0.0021243216,0.10990664,0.007098541,0.00014879543],"about_ca_topic_score_codex":0.0071206805,"about_ca_topic_score_gemma":0.004698156,"teacher_disagreement_score":0.0071206805,"about_ca_system_score_codex":0.00061073055,"about_ca_system_score_gemma":0.0005022438,"threshold_uncertainty_score":0.016292334},"labels":[],"label_agreement":null},{"id":"W4407285829","doi":"10.5430/ijfr.v16n1p50","title":"Factors Affecting Fraud in the Procurement of Government Goods/Services (PBJP): Empirical Study on BPKP in Indonesia","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Procurement; Government procurement; Business; Government (linguistics); Goods and services; Empirical research; Accounting; Marketing; Economics; Economy","score_opus":0.10988933544964379,"score_gpt":0.43304372196683666,"score_spread":0.32315438651719286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407285829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986589,0.00011160941,0.00007217937,0.00018953615,0.0000021947362,0.000017103277,0.000025911548,8.9362317e-7,0.000921713],"genre_scores_gemma":[0.99927634,0.00024491036,0.00014248486,0.00004468323,0.000004090285,0.000010967028,0.000028992396,0.0000011854967,0.00024643843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99545753,0.0015837679,0.000517571,0.00025220896,0.0015063963,0.0006825611],"domain_scores_gemma":[0.9702064,0.008841216,0.016216224,0.0006374605,0.0024084044,0.0016902834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004561019,0.0002391404,0.00044432402,0.0019798176,0.0017520431,0.003383222,0.00063282414,0.0006843742,0.0016666672],"category_scores_gemma":[0.013687747,0.00039091898,0.00039082213,0.0032276576,0.0016998281,0.0018257414,0.0016492758,0.001905467,0.00029495262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002944189,0.00033524516,0.9788503,0.000084476516,0.000020426754,0.0004142912,0.009907059,0.00011530374,0.00013202756,0.0003975726,0.0003189394,0.009394986],"study_design_scores_gemma":[0.0000023132382,0.00006080722,0.95141876,0.00012590709,0.000021001171,0.00046501379,0.04601506,0.00070565706,0.00013736247,0.0001408974,0.0008943638,0.000012760262],"about_ca_topic_score_codex":0.015821591,"about_ca_topic_score_gemma":0.017874578,"teacher_disagreement_score":0.015821591,"about_ca_system_score_codex":0.0032924989,"about_ca_system_score_gemma":0.003360056,"threshold_uncertainty_score":0.031458974},"labels":[],"label_agreement":null},{"id":"W4407313359","doi":"10.5430/ijfr.v16n1p62","title":"Relative Levels of CEO Inside Debt and the Impact of Hedging on Shareholder Value","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corporate Governance and Financial Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Shareholder value; Value (mathematics); Debt; Shareholder; Business; Financial system; Monetary economics; Financial economics; Economics; Finance; Corporate governance; Mathematics; Statistics","score_opus":0.07353972240540267,"score_gpt":0.37598576348115154,"score_spread":0.30244604107574885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407313359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99891746,0.00008085645,0.00012735461,0.00002962121,0.0000012049896,0.0000017213533,0.00002617917,0.0000020498933,0.00081372575],"genre_scores_gemma":[0.9996803,0.000019801584,0.000040179042,0.0000069685925,0.0000035689911,5.360427e-7,0.00003678273,6.214019e-7,0.00021130093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99947506,0.00011713161,0.00005865946,0.00006739131,0.00014473867,0.00013707583],"domain_scores_gemma":[0.9793465,0.008423674,0.008962508,0.00090342754,0.0006524852,0.0017113349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015050777,0.00020649728,0.000274167,0.0005826984,0.00018193416,0.0014997341,0.0002835528,0.0005230096,0.0021807295],"category_scores_gemma":[0.011266122,0.00011780501,0.00016615551,0.00046663205,0.0004124553,0.0010511957,0.0007611061,0.00056809053,0.00023987753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034940054,0.0001937404,0.9764707,0.000021500735,0.000102216,0.00023833636,0.00020894143,0.0021669576,0.0057423864,0.0009750514,0.00010831957,0.013422393],"study_design_scores_gemma":[0.000004015369,0.00022184558,0.9961104,0.000006974422,0.00002045066,0.00015720274,0.0002362935,0.0015044258,0.0010047124,0.0005605287,0.00016632557,0.000006765627],"about_ca_topic_score_codex":0.000770913,"about_ca_topic_score_gemma":0.0010228544,"teacher_disagreement_score":0.0021807295,"about_ca_system_score_codex":0.00038077266,"about_ca_system_score_gemma":0.00016242838,"threshold_uncertainty_score":0.0079597235},"labels":[],"label_agreement":null},{"id":"W4407345698","doi":"10.5430/ijfr.v16n1p35","title":"Basic Stochastic Framework for Designing and Understanding Real Estate Models","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Real estate; Econometrics; Business; Economics; Finance","score_opus":0.10266400325212006,"score_gpt":0.3765987395876126,"score_spread":0.27393473633549253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407345698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039578234,0.0002813376,0.9904034,0.00043132855,0.00004408299,0.000039474948,0.00024230113,0.00009976552,0.0045004226],"genre_scores_gemma":[0.43474796,0.0035216676,0.5416697,0.00047510694,0.00048093087,0.0009906102,0.0014237069,0.00031170325,0.016378509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934036,0.0002675544,0.000048090875,0.00010302507,0.00018131142,0.000059587226],"domain_scores_gemma":[0.9984079,0.00095950026,0.00020381661,0.00009411931,0.00026264656,0.0000720146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017520832,0.001165183,0.0009387289,0.0011053423,0.0005712797,0.0021330155,0.0020402991,0.001693251,0.0046470216],"category_scores_gemma":[0.0051888465,0.00069003395,0.0016589456,0.0009669736,0.0010925371,0.0017049132,0.0014706488,0.002078089,0.00082727906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005139705,0.00002040741,0.00034244382,0.000046945705,0.000016748014,0.000087484,0.000058302372,0.6847389,0.00049492496,0.30998862,0.00075940543,0.0034407424],"study_design_scores_gemma":[0.0000046949363,0.000008320493,0.00006894541,0.00001468312,0.000004841046,0.000018594885,0.000014401704,0.9096684,0.000094474584,0.087349474,0.0027456034,0.0000074981813],"about_ca_topic_score_codex":0.011011955,"about_ca_topic_score_gemma":0.0074256733,"teacher_disagreement_score":0.011011955,"about_ca_system_score_codex":0.001307964,"about_ca_system_score_gemma":0.0019638995,"threshold_uncertainty_score":0.021895707},"labels":[],"label_agreement":null},{"id":"W4407345715","doi":"10.5430/ijfr.v16n1p20","title":"Wage Bargaining and Inflation: Perception Thresholds in the Labor Market and the Impact on Distribution and Economic Development – Evidence From Two Behavioral Experiments","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Wage; Perception; Distribution (mathematics); Labour economics; Wage bargaining; Psychology","score_opus":0.0796248175604312,"score_gpt":0.40896725852149896,"score_spread":0.32934244096106774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407345715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942234,0.000055274093,0.001231517,0.00026667048,0.000019207178,0.000048344344,0.00003450273,0.0000061639803,0.0041148774],"genre_scores_gemma":[0.99753004,0.00007001331,0.00079022977,0.00027967666,0.000017327759,0.00007618,0.000038586968,0.0000050602007,0.0011927853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983644,0.0009963862,0.000090049776,0.00017896554,0.00023537118,0.00013479235],"domain_scores_gemma":[0.9839919,0.012010623,0.002071442,0.0011119499,0.00026984923,0.0005442523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039651315,0.00021308147,0.00037546598,0.00018263076,0.00033089292,0.0009931854,0.00047306722,0.00090978737,0.004873031],"category_scores_gemma":[0.0110164955,0.00027940585,0.00025697117,0.0001517166,0.0012711273,0.0009770069,0.00073771045,0.0013247889,0.00041714398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.04652248,0.10665083,0.25594968,0.0014837392,0.0009532569,0.00066063594,0.017623255,0.014327418,0.32418358,0.058741644,0.0039110305,0.16899244],"study_design_scores_gemma":[0.0059811496,0.042451717,0.7308128,0.0002641458,0.000559409,0.0005071201,0.008841443,0.03365981,0.07572197,0.08909619,0.011774877,0.00032935798],"about_ca_topic_score_codex":0.001046662,"about_ca_topic_score_gemma":0.0006975736,"teacher_disagreement_score":0.004873031,"about_ca_system_score_codex":0.00040202314,"about_ca_system_score_gemma":0.00028335364,"threshold_uncertainty_score":0.020969808},"labels":[],"label_agreement":null},{"id":"W4409320557","doi":"10.5430/ijfr.v16n2p17","title":"Assessing the Effect of Financial Literacy on Investment Decisions Among Matatu Savings and Credit Cooperative Societies in Kenya","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial literacy; Investment (military); Business; Literacy; Economics; Finance; Financial system; Actuarial science; Economic growth; Political science","score_opus":0.048969142343273805,"score_gpt":0.3947840472992563,"score_spread":0.3458149049559825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409320557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965465,0.000025568332,0.0000068471495,0.000035421515,6.6194025e-7,0.000005165228,0.000008417995,1.3908871e-7,0.00026307788],"genre_scores_gemma":[0.9996412,0.000075301294,0.00004616898,0.000016626826,0.0000012312926,0.00000785311,0.00001308433,2.5285706e-7,0.00019842145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999201,0.00033684747,0.00005309687,0.00006834067,0.00011366287,0.00022705979],"domain_scores_gemma":[0.9961993,0.0013292666,0.0014635968,0.000070244874,0.0003075256,0.00063004094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014755755,0.00023044606,0.00022902098,0.0007441275,0.0016142288,0.0011248427,0.0002834482,0.00038720493,0.0018471349],"category_scores_gemma":[0.0050244434,0.00021133816,0.00017921158,0.00064746797,0.0011663445,0.0006529649,0.0011693115,0.0005340585,0.00015870505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009458885,0.00029136337,0.9526531,0.00004851811,0.000014448623,0.00045453946,0.035734218,0.000052018837,0.0004886098,0.0001381156,0.0001676721,0.009862855],"study_design_scores_gemma":[0.0000040242685,0.00023177899,0.91703653,0.00006323391,0.000012496201,0.00012854845,0.081372865,0.00018752876,0.000114586925,0.000060497023,0.0007754881,0.000012387536],"about_ca_topic_score_codex":0.019913891,"about_ca_topic_score_gemma":0.0684972,"teacher_disagreement_score":0.019913891,"about_ca_system_score_codex":0.0013331515,"about_ca_system_score_gemma":0.0013736273,"threshold_uncertainty_score":0.03959596},"labels":[],"label_agreement":null},{"id":"W4409320624","doi":"10.5430/ijfr.v16n2p1","title":"Financial Management Techniques: The Key to Financial Health of Inua Jamii Senior Cash Transfer Beneficiaries in Kenya","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Business; Finance; Financial management; Cash management; Cash; Key (lock); Financial system","score_opus":0.04445159144070929,"score_gpt":0.3548127008870738,"score_spread":0.3103611094463645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409320624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965353,0.0008068041,0.000021773107,0.00097569637,0.000010917958,0.000030589697,0.00004773937,0.000001394463,0.0015697671],"genre_scores_gemma":[0.9976834,0.0009599701,0.00013910448,0.00020332386,0.000009442465,0.000025035712,0.000031273637,5.912734e-7,0.0009478202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996972,0.00008195622,0.00001628046,0.000018169065,0.00003892425,0.00014737918],"domain_scores_gemma":[0.99938273,0.000086260094,0.00023099993,0.000009100188,0.000055532426,0.00023536019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006160482,0.00025916466,0.00017373967,0.00045880815,0.0018538225,0.0007815813,0.00033959353,0.00041096823,0.003468455],"category_scores_gemma":[0.0014475238,0.00013994906,0.00018746198,0.00039261326,0.00048461478,0.000709546,0.0011272217,0.0006135245,0.00018428573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004645385,0.0018968207,0.79358715,0.0009897201,0.000057059173,0.0011275162,0.039206024,0.00007509061,0.0022486143,0.0008154756,0.0033573438,0.1561746],"study_design_scores_gemma":[0.000019117757,0.0007954566,0.94773144,0.00056595454,0.000058351678,0.00035477494,0.043708686,0.00010748813,0.000312157,0.00017854098,0.0061483164,0.000019765745],"about_ca_topic_score_codex":0.011802971,"about_ca_topic_score_gemma":0.03780339,"teacher_disagreement_score":0.011802971,"about_ca_system_score_codex":0.0008430696,"about_ca_system_score_gemma":0.0016742822,"threshold_uncertainty_score":0.023468554},"labels":[],"label_agreement":null},{"id":"W4409987010","doi":"10.5430/ijfr.v16n2p30","title":"Germany’s New Constitutional Rules on Public Debt: An Analysis of Debt Sustainability and Intergenerational Fairness","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Law and Political Science","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Debt; Sustainability; Economics; Business; Macroeconomics","score_opus":0.06644319863790246,"score_gpt":0.46909653624763553,"score_spread":0.4026533376097331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409987010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6355801,0.0041061617,0.0388766,0.019012474,0.0005717869,0.00010078942,0.0007325866,0.00010134402,0.30091813],"genre_scores_gemma":[0.98879224,0.0005533272,0.002143728,0.0010217726,0.00012461914,0.00003945544,0.00008982145,0.000012548538,0.0072224075],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.996829,0.00077878806,0.00021356628,0.00047685517,0.0009389965,0.0007628813],"domain_scores_gemma":[0.9983475,0.0005891735,0.0003015507,0.0004139408,0.0002538263,0.0000939574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005087354,0.00033301863,0.00047882734,0.0016047682,0.0019733985,0.0047926805,0.0010764581,0.0024871922,0.0016020606],"category_scores_gemma":[0.0068283645,0.00033315044,0.000739728,0.0012135254,0.005588369,0.0031465641,0.0020427024,0.002996696,0.00017435888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011166337,0.000007134388,0.000618184,0.000007280119,0.0000074528903,0.00006729937,0.00022585753,0.0009104638,0.000119734774,0.9942251,0.0006388516,0.0031615573],"study_design_scores_gemma":[0.000058947193,0.000055801676,0.013683028,0.00014083525,0.00009630876,0.00023446247,0.00051284296,0.006898981,0.0013086098,0.90678966,0.0701565,0.00006402302],"about_ca_topic_score_codex":0.01627424,"about_ca_topic_score_gemma":0.012750542,"teacher_disagreement_score":0.01627424,"about_ca_system_score_codex":0.0073312162,"about_ca_system_score_gemma":0.0027128055,"threshold_uncertainty_score":0.05319202},"labels":[],"label_agreement":null},{"id":"W4410331813","doi":"10.5430/ijfr.v16n2p44","title":"Adopting Circular Economy Models for Healthcare Waste Management: Issues and Prospects in Saudi Arabia","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Circular economy; Health care; Business; Economics; Natural resource economics; Economic growth","score_opus":0.0704090203906319,"score_gpt":0.4109505956228878,"score_spread":0.3405415752322559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410331813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92614484,0.004620031,0.01699206,0.021556856,0.00006649251,0.00021577561,0.00014740841,0.00002606935,0.030230405],"genre_scores_gemma":[0.994058,0.0015287843,0.0028954775,0.00030263799,0.000012162602,0.00003473236,0.000033137614,0.000004317566,0.0011307672],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99638593,0.0022657518,0.00015980432,0.00020607647,0.00041771357,0.0005647171],"domain_scores_gemma":[0.98922217,0.0060745287,0.001982725,0.00037914063,0.0017351207,0.00060620776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071113417,0.0004330548,0.00028587095,0.0011639,0.0016509341,0.005799894,0.0008344925,0.0010185523,0.0036119695],"category_scores_gemma":[0.0097037,0.000230376,0.00048206974,0.001780226,0.002493763,0.004045291,0.0032367154,0.00091978855,0.00023822236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005605785,0.001159736,0.22649267,0.0017267019,0.00019401197,0.0014922844,0.03803609,0.031003855,0.0013303224,0.49636316,0.0049246512,0.19671592],"study_design_scores_gemma":[0.000122044396,0.00097025494,0.13390344,0.0031288015,0.00020557533,0.0009973536,0.30027205,0.1436127,0.0033370366,0.2891183,0.1240901,0.00024232951],"about_ca_topic_score_codex":0.027711341,"about_ca_topic_score_gemma":0.02972314,"teacher_disagreement_score":0.027711341,"about_ca_system_score_codex":0.007615755,"about_ca_system_score_gemma":0.009662105,"threshold_uncertainty_score":0.055256486},"labels":[],"label_agreement":null},{"id":"W4414932361","doi":"10.5430/ijfr.v16n3p1","title":"Determinants of an Effective Anti-Bribery and Anti-Corruption (ABAC) Culture in Malaysian Public Listed Companies: A Conceptual-Based Framework","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Corporate governance; Statutory law; Organizational culture; Parallels; Commission; Function (biology); Conceptual framework","score_opus":0.062128408193770246,"score_gpt":0.43047271285574523,"score_spread":0.368344304661975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414932361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988902,0.00023930136,0.0011799838,0.001807308,0.000006100281,0.000036526333,0.00005448032,0.0000045771594,0.0077696447],"genre_scores_gemma":[0.99951565,0.00007774975,0.00022659733,0.000037343823,0.0000017297917,0.000006783093,0.000010525456,5.205966e-7,0.00012302636],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979936,0.00077380484,0.00012562967,0.00020452339,0.00037770096,0.00052473],"domain_scores_gemma":[0.9900538,0.0024444298,0.00511473,0.00023900544,0.001012079,0.0011359467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024744372,0.00030110942,0.00022401725,0.002286169,0.001084898,0.0033922666,0.0005235094,0.0006614881,0.0016847278],"category_scores_gemma":[0.0048293318,0.00021804032,0.00027906962,0.0013147083,0.0036370857,0.0017744142,0.0022044647,0.000983678,0.00010884521],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000250767,0.0003328386,0.92162484,0.000102368605,0.00007179824,0.00028259034,0.011954951,0.0016859449,0.00042821877,0.044378255,0.0004535846,0.018659474],"study_design_scores_gemma":[0.000014184482,0.0001732692,0.9325147,0.00040112,0.000065087836,0.0002180156,0.043585457,0.007526368,0.00052541733,0.010581624,0.004347523,0.00004713763],"about_ca_topic_score_codex":0.011307612,"about_ca_topic_score_gemma":0.01513114,"teacher_disagreement_score":0.011307612,"about_ca_system_score_codex":0.00451057,"about_ca_system_score_gemma":0.005942052,"threshold_uncertainty_score":0.032726586},"labels":[],"label_agreement":null},{"id":"W4414977804","doi":"10.5430/ijfr.v16n3p10","title":"The Impact of Financial Development on Human Well-Being in Sub-Saharan Africa: Does Institutional Quality Matter?","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Panel data; Estimation; Financial market; Quadratic model; Fixed effects model; Politics; Research development; Financial sector development","score_opus":0.057125033531731685,"score_gpt":0.4013062297444993,"score_spread":0.3441811962127676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414977804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99528116,0.0015046542,0.00033326817,0.0007088216,0.000014311359,0.000009573764,0.00059760123,0.0000037483962,0.0015467536],"genre_scores_gemma":[0.9991431,0.0004147704,0.00009374485,0.000041234933,0.0000075284415,0.0000044982426,0.0001797461,6.296048e-7,0.00011466575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943954,0.00022776428,0.00004080404,0.000056288845,0.000059215217,0.00017647252],"domain_scores_gemma":[0.996425,0.0010437882,0.00178503,0.00012400729,0.0002386174,0.00038355123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010233398,0.0002408924,0.00032160545,0.00095305947,0.00040103577,0.0009484374,0.00021797941,0.00026807206,0.0019957246],"category_scores_gemma":[0.0041984045,0.000115536306,0.00034949623,0.001931655,0.0007153531,0.00076598104,0.00096437306,0.000537448,0.00013978488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007610525,0.000052880667,0.9833924,0.000089709225,0.00015629639,0.00015480614,0.0006100023,0.00079193,0.00013534557,0.0009988412,0.00032672408,0.01321493],"study_design_scores_gemma":[0.000003319879,0.00004807672,0.99680966,0.00004826005,0.000048211106,0.000036809917,0.00097590405,0.0005170672,0.0001243335,0.00045382863,0.0009293302,0.00000505563],"about_ca_topic_score_codex":0.014959588,"about_ca_topic_score_gemma":0.018892447,"teacher_disagreement_score":0.014959588,"about_ca_system_score_codex":0.00057195313,"about_ca_system_score_gemma":0.00054826913,"threshold_uncertainty_score":0.029744983},"labels":[],"label_agreement":null},{"id":"W4415446007","doi":"10.5430/ijfr.v16n3p63","title":"Strengthening ERM Independence: A Conceptual Governance and Oversight Framework","year":2025,"lang":"","type":"article","venue":"International Journal of Financial Research","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Corporate governance; Sophistication; Enterprise risk management; Principal–agent problem; Conceptual framework; Risk management; Independence (probability theory); Function (biology)","score_opus":0.05791206041224471,"score_gpt":0.40915196557802175,"score_spread":0.351239905165777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415446007","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052734654,0.0015695103,0.7321626,0.02062243,0.00027783273,0.00031530618,0.00008691933,0.0001890478,0.19204172],"genre_scores_gemma":[0.92906153,0.0007426741,0.060532458,0.0010527208,0.00044436633,0.00035091312,0.000046568726,0.000040334093,0.0077286013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9848763,0.007861715,0.0007663419,0.0022155382,0.0027902215,0.0014899272],"domain_scores_gemma":[0.9832872,0.0072218347,0.0034311973,0.002136264,0.0025029585,0.0014205516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01886214,0.0007499333,0.00043212718,0.0027426863,0.0031680323,0.012146243,0.0024848874,0.004038043,0.002896533],"category_scores_gemma":[0.017316721,0.0006485318,0.0006471783,0.0017690194,0.025171937,0.01367725,0.0052662203,0.004681169,0.0004152831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026770813,0.00000954131,0.00024244557,0.000008920532,0.0000026398811,0.0000273345,0.00045097258,0.0011709644,0.00007789651,0.99494076,0.00021148536,0.002854466],"study_design_scores_gemma":[0.000025320709,0.000057475518,0.0006605989,0.00012074421,0.000016352691,0.00007012954,0.00081098627,0.009138448,0.00027534706,0.9634175,0.025380978,0.000026124524],"about_ca_topic_score_codex":0.0048275357,"about_ca_topic_score_gemma":0.0023758,"teacher_disagreement_score":0.01886214,"about_ca_system_score_codex":0.006368104,"about_ca_system_score_gemma":0.009048887,"threshold_uncertainty_score":0.09975374},"labels":[],"label_agreement":null},{"id":"W4415446069","doi":"10.5430/ijfr.v16n3p31","title":"Optimal Leverage of Commercial Real Estate Investments: A Trade Off Option Theoretic Approach","year":2025,"lang":"","type":"article","venue":"International Journal of Financial Research","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Real estate; Downside risk; Valuation of options; Loan-to-value ratio; Real estate investment trust; Loan; Financial risk; Operating leverage; Geometric Brownian motion","score_opus":0.06380751587886865,"score_gpt":0.3471608141039006,"score_spread":0.28335329822503197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415446069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61910623,0.0019767808,0.3510792,0.0013261881,0.00004888871,0.00012664669,0.00020995695,0.0001041223,0.026021888],"genre_scores_gemma":[0.9898868,0.0003171754,0.008133823,0.000028564062,0.0000145738395,0.000028879245,0.000030138057,0.00001231522,0.0015476702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996136,0.00018734566,0.000014866231,0.000050239276,0.00007086867,0.000063056854],"domain_scores_gemma":[0.9977323,0.0016566148,0.00027349006,0.0000734239,0.000098091565,0.0001660951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015741707,0.00074850896,0.001079628,0.0008549857,0.00030660123,0.001960759,0.00088245963,0.0013891516,0.0038272566],"category_scores_gemma":[0.0059663774,0.0005368361,0.00089096837,0.0005130615,0.0012982682,0.002694068,0.0011066161,0.0012312206,0.00014745806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008681729,0.000093419796,0.0011163497,0.00006250622,0.000027867543,0.00015616477,0.000048568454,0.8949053,0.0013140206,0.09621294,0.00030142276,0.005674687],"study_design_scores_gemma":[0.000014176253,0.000044425793,0.0003466979,0.000009484757,0.000010300105,0.000020924586,0.000020074405,0.96784043,0.00017148533,0.031380028,0.00013365038,0.000008241066],"about_ca_topic_score_codex":0.0016544154,"about_ca_topic_score_gemma":0.0012284606,"teacher_disagreement_score":0.0038272566,"about_ca_system_score_codex":0.0016753401,"about_ca_system_score_gemma":0.0008196232,"threshold_uncertainty_score":0.012803435},"labels":[],"label_agreement":null},{"id":"W4415699353","doi":"10.5430/ijfr.v16n3p74","title":"Emotional Reactions of Students to Perceptions of Negative Trends and Small Losses in Short-Term Stock Market Simulation","year":2025,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Stock market; Exploratory research; Financial market; Loss aversion; Stock (firearms); Behavioral economics; Stock price","score_opus":0.1382543854519891,"score_gpt":0.5728392583547682,"score_spread":0.43458487290277914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415699353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991742,0.000040898143,0.00021838145,0.00011792283,0.0000127779895,0.00001703507,0.000010086728,0.000003863695,0.00040482797],"genre_scores_gemma":[0.99897456,0.000093397015,0.00018778881,0.0001254416,0.000006241613,0.00003131235,0.000012990936,0.0000031640247,0.0005652352],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986222,0.00073406845,0.000056214234,0.00011251605,0.00022033544,0.00025466122],"domain_scores_gemma":[0.99703145,0.0014020666,0.00043950864,0.00008893094,0.00028722783,0.0007507177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023182682,0.00042422695,0.0005332627,0.0003921741,0.0010290659,0.0020806082,0.00044547717,0.0010886053,0.0020712782],"category_scores_gemma":[0.005836189,0.00023746496,0.0004426018,0.0001726015,0.0021376743,0.0009957378,0.0019922177,0.001883852,0.00045362287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064031704,0.0016813185,0.14159125,0.0004941927,0.000054245113,0.0020832836,0.80549365,0.00044279252,0.024772516,0.0007811851,0.0012787894,0.02068644],"study_design_scores_gemma":[0.000052576244,0.0025134413,0.105131276,0.00019976801,0.000058574282,0.0012398768,0.8767696,0.0011934922,0.0045730425,0.00068773836,0.0074262964,0.00015435963],"about_ca_topic_score_codex":0.0007092093,"about_ca_topic_score_gemma":0.00090998935,"teacher_disagreement_score":0.0023182682,"about_ca_system_score_codex":0.0005164396,"about_ca_system_score_gemma":0.00042044997,"threshold_uncertainty_score":0.012260318},"labels":[],"label_agreement":null},{"id":"W4416056991","doi":"10.5430/ijfr.v16n3p95","title":"Board Gender Diversity and Sustainability: A Literature Review","year":2025,"lang":"","type":"review","venue":"International Journal of Financial Research","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gender diversity; Excellence; Corporate governance; Corporate social responsibility; Sustainability; Diversity (politics); Agency (philosophy); Order (exchange); Institution","score_opus":0.23553002904626816,"score_gpt":0.477694506285878,"score_spread":0.24216447723960985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416056991","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011593484,0.9973605,0.00012380903,0.0005460627,0.00014038249,0.000034384753,0.000087136454,0.0000039078186,0.0005444533],"genre_scores_gemma":[0.009317103,0.98957425,0.0002844297,0.00041148192,0.0001387128,0.000060483493,0.00008526643,0.0000035721027,0.00012476993],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.994142,0.0020528114,0.0015947248,0.0006401896,0.0012746695,0.00029566025],"domain_scores_gemma":[0.95354,0.037726626,0.0045065326,0.00043437895,0.0033112608,0.00048126164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007856614,0.0010359101,0.002616963,0.019800631,0.0010290645,0.003808926,0.0012442471,0.0022338033,0.0052035125],"category_scores_gemma":[0.027043408,0.0008088209,0.0026858107,0.01922122,0.0014007183,0.0035010357,0.0019429623,0.0010593291,0.00061737036],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019887887,0.00011047899,0.004229105,0.58427817,0.0012800011,0.0006986237,0.0023215576,0.0002501412,0.00038284945,0.0033235915,0.009687716,0.39323896],"study_design_scores_gemma":[0.000035485293,0.00022344537,0.012814892,0.79428476,0.00609764,0.002018024,0.004630996,0.000109589004,0.00028236586,0.0018192857,0.17762248,0.00006105483],"about_ca_topic_score_codex":0.0048980513,"about_ca_topic_score_gemma":0.011514628,"teacher_disagreement_score":0.019800631,"about_ca_system_score_codex":0.0027104926,"about_ca_system_score_gemma":0.011499337,"threshold_uncertainty_score":0.04155022},"labels":[],"label_agreement":null},{"id":"W647219375","doi":"10.5430/ijfr.v7n4p208","title":"The Effect of Changing the Listing Level on the Information Environment of ADRs","year":2016,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Listing (finance); Cross listing; Enforcement; Business; Accounting; Downgrade; Finance; Computer science","score_opus":0.030251332102370087,"score_gpt":0.2868469912105193,"score_spread":0.25659565910814924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W647219375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933083,0.00016563734,0.00028824207,0.00039029657,0.000010059849,0.000019072624,0.00022452747,0.00002671941,0.005567065],"genre_scores_gemma":[0.9988366,0.00006098444,0.0002466807,0.000104580366,0.000021909178,0.000003683824,0.00019364592,0.000005514565,0.0005263633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949818,0.0019307501,0.00062200584,0.00054441293,0.0012555305,0.0006654922],"domain_scores_gemma":[0.89863724,0.041964136,0.042871743,0.005549066,0.0070321118,0.003945699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037426709,0.00018677615,0.0002571746,0.0013063032,0.0006076133,0.003278363,0.00055839855,0.0006620589,0.0046723816],"category_scores_gemma":[0.03652409,0.0001672802,0.00041956568,0.0015890336,0.0007310932,0.0016662087,0.0009872166,0.0006744087,0.0005594501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008609732,0.00049723184,0.9523315,0.0000614502,0.00016034774,0.00036476523,0.00049109175,0.0029160867,0.0030873416,0.0011087217,0.00068157475,0.03743894],"study_design_scores_gemma":[0.00003830302,0.0005434744,0.99295557,0.000017178498,0.00006671551,0.00014558854,0.000844504,0.0013422358,0.0019016124,0.00044155217,0.0016736191,0.000029739016],"about_ca_topic_score_codex":0.005013944,"about_ca_topic_score_gemma":0.0048677754,"teacher_disagreement_score":0.005013944,"about_ca_system_score_codex":0.0012286444,"about_ca_system_score_gemma":0.0006359594,"threshold_uncertainty_score":0.019793332},"labels":[],"label_agreement":null},{"id":"W70314429","doi":"10.5430/ijfr.v7n1p50","title":"An Assessment on Graham’s Approach for Stock Selection: The Case of Turkey","year":2015,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stock exchange; Financial economics; Stock (firearms); Portfolio; Intrinsic value (animal ethics); Dividend; Economics; Financial crisis; Value (mathematics); Actuarial science; Business; Finance; Computer science; Keynesian economics; Political science; Law","score_opus":0.21149496082027275,"score_gpt":0.42942315264539677,"score_spread":0.21792819182512402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70314429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9199852,0.004723508,0.020735268,0.0048297844,0.0001055256,0.0002122379,0.0002619559,0.00003945272,0.04910711],"genre_scores_gemma":[0.9864135,0.00068675214,0.011223609,0.00013143205,0.000029554578,0.000029801862,0.00008754778,0.000008018102,0.001389794],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970764,0.0014155088,0.00015677177,0.00024252126,0.0008178695,0.0002909398],"domain_scores_gemma":[0.9939116,0.0034150137,0.00048534168,0.00019194555,0.0018269048,0.00016920132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045054173,0.00040011777,0.00039709403,0.0026929087,0.000960637,0.0025459684,0.00072173093,0.0009725527,0.0014110396],"category_scores_gemma":[0.009611577,0.000114975905,0.0006383726,0.0030584359,0.0010098293,0.0013450109,0.00089376833,0.0007937877,0.00014751402],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064627593,0.00035720816,0.3935424,0.0006489106,0.00035123446,0.0070812055,0.005965877,0.06391723,0.002882176,0.20421855,0.012108922,0.30828014],"study_design_scores_gemma":[0.00017266719,0.0011495249,0.40747267,0.0010249055,0.00047093673,0.0032014062,0.022375619,0.4302099,0.004391659,0.08349589,0.045710996,0.00032378247],"about_ca_topic_score_codex":0.053654153,"about_ca_topic_score_gemma":0.042679776,"teacher_disagreement_score":0.053654153,"about_ca_system_score_codex":0.00465068,"about_ca_system_score_gemma":0.0019844368,"threshold_uncertainty_score":0.10668373},"labels":[],"label_agreement":null},{"id":"W7116077437","doi":"10.5430/ijfr.v17n1p1","title":"The Objective-Centric Anchor: Integrating Enterprise Risk Intelligence With Mission Critical Objectives","year":2025,"lang":"","type":"article","venue":"International Journal of Financial Research","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Futures studies; Enterprise risk management; Risk management; Corporate governance; Operational risk; Enterprise system; Risk governance; Information assurance; Strategic planning","score_opus":0.020876471356670295,"score_gpt":0.3677072171909322,"score_spread":0.3468307458342619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116077437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055002887,0.002424121,0.803258,0.012636864,0.0003806777,0.00020050646,0.00017719693,0.0010931293,0.1248266],"genre_scores_gemma":[0.69551635,0.0018732692,0.29568285,0.0008427561,0.00022386969,0.00011038779,0.00020326668,0.000252363,0.0052949362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9954299,0.0019601951,0.0003084875,0.0006645051,0.0012550697,0.00038173352],"domain_scores_gemma":[0.9881809,0.0052002203,0.002003711,0.0022348033,0.0013796049,0.0010008388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008561584,0.0008886899,0.00048001987,0.0034605411,0.0013962096,0.0122647695,0.0013124439,0.0014296944,0.003998217],"category_scores_gemma":[0.017335443,0.00056052994,0.00062321726,0.002635019,0.0072602816,0.023684785,0.0106325485,0.0038920229,0.00089603855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009745771,0.000105180334,0.007265732,0.00029084817,0.000056286353,0.00025719992,0.009237805,0.00587155,0.00249328,0.7150903,0.0028620812,0.2563723],"study_design_scores_gemma":[0.000028644845,0.0002100509,0.0051054982,0.001054715,0.0001221195,0.0004229695,0.008169517,0.032212228,0.0050429287,0.8375305,0.10995507,0.0001457858],"about_ca_topic_score_codex":0.001787558,"about_ca_topic_score_gemma":0.0019426941,"teacher_disagreement_score":0.0122647695,"about_ca_system_score_codex":0.0020012045,"about_ca_system_score_gemma":0.0045612766,"threshold_uncertainty_score":0.04527849},"labels":[],"label_agreement":null},{"id":"W7117651415","doi":"10.5430/ijfr.v17n1p15","title":"Bridging the Financial Divide: The Role of AI in Promoting Inclusion Among Underserved Populations","year":2025,"lang":"","type":"article","venue":"International Journal of Financial Research","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Financial inclusion; Financial literacy; Bridging (networking); Financial services; Corporate governance; Inclusion (mineral)","score_opus":0.07026958972037849,"score_gpt":0.36423846757386374,"score_spread":0.29396887785348524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117651415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87403214,0.0010149865,0.0026656203,0.02486692,0.00006693725,0.00007048555,0.000057011082,0.000017105413,0.097208805],"genre_scores_gemma":[0.99818856,0.00024107566,0.00044381677,0.00047330186,0.000016005946,0.000018944336,0.000008613358,0.0000021355165,0.0006074503],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9956281,0.002597174,0.00011285967,0.00018367231,0.00052365905,0.0009544724],"domain_scores_gemma":[0.99038786,0.005279826,0.0014158313,0.00048057022,0.00075441325,0.0016814439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004016093,0.0002098915,0.00023274872,0.0019887015,0.0055288845,0.0051391795,0.00084736303,0.0008563253,0.0058855643],"category_scores_gemma":[0.015385352,0.00009341599,0.00027610917,0.0015938863,0.007397466,0.0047148727,0.011033887,0.0014575773,0.00025945986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015534408,0.0005677533,0.2097413,0.00042874145,0.00005752047,0.001123816,0.24296504,0.00048334632,0.00091519597,0.23851785,0.0050161183,0.30002803],"study_design_scores_gemma":[0.000035747846,0.000406173,0.22980481,0.002326341,0.000095650044,0.00088970276,0.5250191,0.0020157779,0.0015448976,0.12575918,0.11203282,0.00006979185],"about_ca_topic_score_codex":0.007475156,"about_ca_topic_score_gemma":0.0111215515,"teacher_disagreement_score":0.007475156,"about_ca_system_score_codex":0.0025844406,"about_ca_system_score_gemma":0.006471747,"threshold_uncertainty_score":0.02123934},"labels":[],"label_agreement":null},{"id":"W7127053877","doi":"10.5430/ijfr.v17n1p37","title":"Wage-Price-Spiral or Price-Wage-Spiral? Evidence From Two Behavioral Experiments and Conclusions for the Central Bank","year":2025,"lang":"","type":"article","venue":"International Journal of Financial Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unemployment; Inflation (cosmology); Wage; Purchasing power; Redistribution (election); Central bank; Phillips curve","score_opus":0.31827281706024485,"score_gpt":0.4477681976571913,"score_spread":0.12949538059694643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127053877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784418,0.00058727775,0.002465355,0.0036102755,0.00011264027,0.00016639488,0.00017294937,0.000060614504,0.014382654],"genre_scores_gemma":[0.9962942,0.0003806248,0.0010370594,0.0009251367,0.000039390343,0.00010401774,0.00009521275,0.0000140664,0.0011101693],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854493,0.0008132195,0.0001308131,0.00021965607,0.00015990167,0.00013153304],"domain_scores_gemma":[0.96647245,0.01995235,0.0075158905,0.0038541479,0.0010333922,0.0011717441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0088176,0.0005549259,0.00070778024,0.00031906454,0.0005040632,0.0019320777,0.0007946107,0.002135657,0.011556973],"category_scores_gemma":[0.024961332,0.000500951,0.00034902408,0.00029259935,0.0022279306,0.0025196846,0.00088595646,0.0016356207,0.0009745061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.10438231,0.038547408,0.24744345,0.0049199164,0.0015792255,0.001333333,0.014632745,0.007775386,0.17784737,0.17491187,0.018620785,0.20800619],"study_design_scores_gemma":[0.020587126,0.018029146,0.6101706,0.0010372305,0.0014256024,0.0009266289,0.008238319,0.039942604,0.05177464,0.22323014,0.024050675,0.0005873226],"about_ca_topic_score_codex":0.0010720218,"about_ca_topic_score_gemma":0.00064289686,"teacher_disagreement_score":0.011556973,"about_ca_system_score_codex":0.00060030463,"about_ca_system_score_gemma":0.0006201636,"threshold_uncertainty_score":0.04663247},"labels":[],"label_agreement":null}]}