{"meta":{"query_hash":"c54d9bd7c3ea","filters":{"venue":"Research in World Economy"},"cohort_total":456,"direct_labels_cover":0,"predictions_cover":456,"exported":456,"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/c54d9bd7c3ea","api":"https://metacan.xera.ac/api/v1/cohort?venue=Research+in+World+Economy"},"results":[{"id":"W1516068242","doi":"10.5430/rwe.v8n2p88","title":"Trade Protectionism and Intra-industry Trade: A USA - EU Comparison","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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":"Fundação para a Ciência e a Tecnologia","keywords":"Protectionism; International trade; Intra-industry trade; Index (typography); Economics; Order (exchange); Trade barrier; Comparative advantage; International free trade agreement; International economics; Computer science","score_opus":0.12966391377552147,"score_gpt":0.35382066049129557,"score_spread":0.2241567467157741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516068242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898588,0.00043561132,0.000296174,0.000058167036,0.000005307654,0.0000044893827,0.00031089518,0.0000049638475,0.009025539],"genre_scores_gemma":[0.9987067,0.00018209587,0.0002328009,0.000016850103,0.000004585702,0.0000032521034,0.00051391334,0.0000032614519,0.00033644555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994634,0.00016619534,0.000036480462,0.000094360614,0.00011612333,0.0001235066],"domain_scores_gemma":[0.9984366,0.0005876994,0.0005146649,0.0001333104,0.00023069454,0.000097051816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005692917,0.000119722026,0.00019854773,0.0031579817,0.00030283508,0.001136655,0.00011899396,0.0002298858,0.0027248],"category_scores_gemma":[0.0016995699,0.00005100668,0.00029532996,0.006069569,0.0003751572,0.0005983054,0.0009394613,0.00026093793,0.00036544626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005202657,0.0001026835,0.95596987,0.00009022035,0.00026719808,0.000353002,0.0016296859,0.00078807207,0.0026441715,0.005223852,0.0007246174,0.03168644],"study_design_scores_gemma":[0.000004724274,0.000059750302,0.9937424,0.000033846638,0.000060828974,0.00020363215,0.0018827328,0.00033789052,0.00033402024,0.00041916288,0.0029145018,0.000006396723],"about_ca_topic_score_codex":0.0039372,"about_ca_topic_score_gemma":0.00932927,"teacher_disagreement_score":0.0039372,"about_ca_system_score_codex":0.0002296932,"about_ca_system_score_gemma":0.00024645973,"threshold_uncertainty_score":0.009115338},"labels":[],"label_agreement":null},{"id":"W1604297066","doi":"","title":"Did Calvin Have a Better Understanding of Modern Economics as Luther","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Religion and Society Interactions","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":"Martin luther; Perspective (graphical); Faith; Everyday life; Positive economics; Sociology; Property (philosophy); Economics; Philosophy; Epistemology; Neoclassical economics; Theology; Mathematics","score_opus":0.32792180126307247,"score_gpt":0.45747119380787177,"score_spread":0.1295493925447993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604297066","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":[0.022926193,0.01734733,0.010190491,0.7722411,0.0074477694,0.00002904173,0.000121992336,0.000070152986,0.16962592],"genre_scores_gemma":[0.7769102,0.008955955,0.0060763718,0.11726903,0.0062251603,0.00008702573,0.000053333188,0.00015199457,0.08427085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99850214,0.0006018895,0.000043966127,0.00032398917,0.00029427675,0.00023378612],"domain_scores_gemma":[0.99665195,0.0019181428,0.00038729204,0.00025922872,0.0005028454,0.00028052254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028712908,0.00049825344,0.00052490697,0.00144338,0.0033478672,0.00652692,0.00073200196,0.004313029,0.0070272177],"category_scores_gemma":[0.011008124,0.00025492694,0.0003506416,0.0009690386,0.013472338,0.011810371,0.0014086437,0.0068259137,0.0016756337],"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":[0.000016800186,0.000009557116,0.00020927492,0.000024928411,0.0000027323738,0.000017016551,0.0011482396,0.000064472435,0.00006383401,0.9754091,0.019027885,0.0040062577],"study_design_scores_gemma":[0.000013577929,0.000025386247,0.00068114063,0.00018739606,0.0000066631956,0.00007034144,0.0012206818,0.0005716938,0.00023590965,0.583387,0.41356736,0.00003290241],"about_ca_topic_score_codex":0.0053262855,"about_ca_topic_score_gemma":0.006594028,"teacher_disagreement_score":0.0071519655,"about_ca_system_score_codex":0.0071519655,"about_ca_system_score_gemma":0.00273469,"threshold_uncertainty_score":0.051891327},"labels":[],"label_agreement":null},{"id":"W1866265588","doi":"10.5430/rwe.v6n2p62","title":"Urban Services Growth in China: The Influence of Institutional Environment Factors","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Social Capital and Networks","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":"Marketization; Openness to experience; China; Business; Government (linguistics); Economic geography; Economic growth; Economic system; Economics; Political science","score_opus":0.0670705655871973,"score_gpt":0.3374946308106648,"score_spread":0.27042406522346746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1866265588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995839,0.00015004458,0.00009438488,0.0004430695,0.0000056371205,0.000009456737,0.00013139834,0.0000061258625,0.0033209748],"genre_scores_gemma":[0.999503,0.00010600962,0.000024128665,0.000012201952,0.0000034306163,0.000002444168,0.00008315634,0.0000012066529,0.00026434314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992964,0.00012636263,0.00004480284,0.00007500796,0.00017450571,0.00028287037],"domain_scores_gemma":[0.99863225,0.00018542033,0.0003738169,0.000062869745,0.00027900108,0.0004666386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006725323,0.000250027,0.00020389029,0.0014158457,0.00077321025,0.0012122621,0.0002797289,0.00014851552,0.0020755434],"category_scores_gemma":[0.0015427478,0.00010285958,0.00038580975,0.0020283542,0.00086086954,0.0007732917,0.001614903,0.000387952,0.000099253004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029222078,0.000041006195,0.9843821,0.000025794641,0.00003668263,0.00025251537,0.000975889,0.0009935725,0.00019570703,0.0020313154,0.00044940793,0.010586827],"study_design_scores_gemma":[0.0000022067768,0.000017797744,0.9952324,0.000015180493,0.000012957832,0.000027687645,0.0017881213,0.0015156496,0.00009877303,0.00025135864,0.0010332688,0.0000046341047],"about_ca_topic_score_codex":0.13780552,"about_ca_topic_score_gemma":0.19674727,"teacher_disagreement_score":0.13780552,"about_ca_system_score_codex":0.0031699906,"about_ca_system_score_gemma":0.004064322,"threshold_uncertainty_score":0.27400678},"labels":[],"label_agreement":null},{"id":"W1909282195","doi":"10.5430/rwe.v6n2p30","title":"Why Is the Growth of Economy and Welfare Different in China? A Theoretical and Empirical Study","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","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":"Jilin Office of Philosophy and Social Science; Shantou University","keywords":"Economics; Consumption (sociology); Welfare; China; Function (biology); Consumption function; Econometrics; Inflation (cosmology); Investment (military); National economy; Capital (architecture); Macroeconomics; Investment function; Growth model; Production (economics); Economic system; Market economy","score_opus":0.09044396661695847,"score_gpt":0.33127787021026694,"score_spread":0.24083390359330847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1909282195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97845423,0.0020267717,0.001024903,0.005057354,0.00003629098,0.000012878787,0.00033556888,0.00001937096,0.013032642],"genre_scores_gemma":[0.9984395,0.0007667432,0.00007696938,0.000084614345,0.000024129255,0.0000034152497,0.000088770175,0.0000021476123,0.00051370525],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997067,0.000056133238,0.000014533004,0.000047961683,0.000055831486,0.00011888689],"domain_scores_gemma":[0.9993759,0.00013813801,0.00018209592,0.000036169073,0.00015778052,0.00011012041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007597169,0.00016446295,0.0003032942,0.0012339342,0.00048178056,0.00124976,0.00024060295,0.00039562705,0.0017272927],"category_scores_gemma":[0.0017192897,0.00008708396,0.00041803566,0.002155254,0.001156214,0.0018990755,0.0006524396,0.0005513421,0.00011001076],"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":[0.00020157162,0.00009049777,0.7939002,0.00023750667,0.00015046967,0.0017485067,0.0035077473,0.009132864,0.0011396515,0.1159272,0.0048733135,0.069090515],"study_design_scores_gemma":[0.000016763357,0.0000483328,0.9497217,0.00008471054,0.000051579944,0.00021498205,0.003919119,0.010984209,0.00038596004,0.02592561,0.008623944,0.000023051572],"about_ca_topic_score_codex":0.024076985,"about_ca_topic_score_gemma":0.01708692,"teacher_disagreement_score":0.024076985,"about_ca_system_score_codex":0.0026166441,"about_ca_system_score_gemma":0.0012492125,"threshold_uncertainty_score":0.047873735},"labels":[],"label_agreement":null},{"id":"W1945598039","doi":"10.5430/rwe.v6n3p14","title":"A Different Perspective for Current Account Deficit Issue on Some OECD Member Countries: A Binary Panel Logit Approach","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Financial Crisis and 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":"Economics; Current account; Financial crisis; Context (archaeology); Logit; Unemployment; Index (typography); Macroeconomics; Econometrics; Monetary economics; Exchange rate","score_opus":0.2832228629895456,"score_gpt":0.38318109071610884,"score_spread":0.09995822772656326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1945598039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90296566,0.0031481476,0.05618416,0.006247294,0.00024406727,0.00023542518,0.007586873,0.00021684867,0.023171514],"genre_scores_gemma":[0.9886341,0.0006936942,0.0021840343,0.0003131289,0.00012453055,0.0001176933,0.00199678,0.000013933619,0.005922059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977437,0.001469727,0.000076351105,0.0002725847,0.00014257464,0.0002950344],"domain_scores_gemma":[0.9934829,0.004658867,0.0010762438,0.00021584737,0.0003996735,0.0001665226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036695304,0.0005868143,0.0009093483,0.0018967964,0.00053891353,0.003329223,0.001056629,0.0013468561,0.012338128],"category_scores_gemma":[0.0069661173,0.0002494893,0.0016718275,0.0026121954,0.00068488374,0.0018468642,0.0011537375,0.0016425672,0.0007161099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006528859,0.0005480034,0.7346576,0.0005095824,0.0020512214,0.0029085253,0.0013570241,0.13975066,0.00093263166,0.06947309,0.010705633,0.03645316],"study_design_scores_gemma":[0.00012454286,0.00077543146,0.32679164,0.00035675304,0.0017737517,0.000880275,0.0062583066,0.587598,0.0012870674,0.053644557,0.020299949,0.000209781],"about_ca_topic_score_codex":0.021963567,"about_ca_topic_score_gemma":0.016848082,"teacher_disagreement_score":0.021963567,"about_ca_system_score_codex":0.000999505,"about_ca_system_score_gemma":0.00063408463,"threshold_uncertainty_score":0.04367143},"labels":[],"label_agreement":null},{"id":"W1956295794","doi":"10.5430/rwe.v6n3p1","title":"Global Competitiveness Indicators as a Determinant of Brownfield Investments in Serbia: Generalized Linear Model","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","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":"Brownfield; Investment (military); Incentive; Quality (philosophy); Foreign direct investment; Business; Product (mathematics); Gross domestic product; Legislation; Economics; Industrial organization; Macroeconomics; Microeconomics; Mathematics","score_opus":0.18227155857340246,"score_gpt":0.3651369025193728,"score_spread":0.18286534394597034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956295794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882449,0.0010289024,0.004925371,0.0014016251,0.00009666325,0.00004021454,0.0015832239,0.0001232356,0.002555802],"genre_scores_gemma":[0.9948547,0.00056794053,0.0006727373,0.00008392188,0.00003799362,0.000032303862,0.0012819297,0.0000132020905,0.0024552925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868935,0.00047153258,0.000065007946,0.00026599955,0.00009100021,0.00041721563],"domain_scores_gemma":[0.99597114,0.0021560364,0.001038582,0.00020669239,0.00026695436,0.00036066744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024829817,0.00093013974,0.0011682415,0.0013529808,0.0004973339,0.002813604,0.0008584588,0.00114172,0.0058354638],"category_scores_gemma":[0.0034359007,0.00052164745,0.0018318633,0.0017154417,0.0009737427,0.00089193333,0.0012796487,0.0018173791,0.0010006455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004902941,0.00040611278,0.85871214,0.0001353675,0.0010205293,0.0011649615,0.00047552507,0.11040946,0.00053885975,0.007914829,0.004844746,0.013887262],"study_design_scores_gemma":[0.00017341088,0.0010437181,0.595633,0.0002871446,0.0011344135,0.00037197277,0.0030237786,0.38146028,0.00079035363,0.0070323637,0.008925666,0.00012384716],"about_ca_topic_score_codex":0.04561802,"about_ca_topic_score_gemma":0.023156771,"teacher_disagreement_score":0.04561802,"about_ca_system_score_codex":0.0010162396,"about_ca_system_score_gemma":0.0019038254,"threshold_uncertainty_score":0.09070498},"labels":[],"label_agreement":null},{"id":"W1963705069","doi":"10.5430/rwe.v5n2p159","title":"The Contribution of Village Palm Grove to the Cameroonian Rural Economic Development","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"African history and culture 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":"Revenue; Entrepreneurship; Context (archaeology); Business; Small business; Scale (ratio); Rural area; Economic growth; Palm oil; Agricultural economics; Economics; Marketing; Geography; Agricultural science; Political science","score_opus":0.03453195627992168,"score_gpt":0.3374718895816801,"score_spread":0.30293993330175845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963705069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718265,0.004887799,0.0002538084,0.0031580173,0.000053524796,0.000024095116,0.000045146477,0.0000042818224,0.019746775],"genre_scores_gemma":[0.99678445,0.0016869146,0.00010797807,0.000083865874,0.000008512035,0.0000041036474,0.0000064372293,0.0000011193677,0.0013165537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971265,0.00012305271,0.0000041414323,0.000017540673,0.000015029711,0.00012754147],"domain_scores_gemma":[0.9996044,0.000112405454,0.0000974756,0.0000101003725,0.000031191463,0.00014439356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046493218,0.00021760499,0.000097844546,0.0005391345,0.002421181,0.0016229654,0.0001978189,0.00029168106,0.0036068936],"category_scores_gemma":[0.00075534295,0.00012525806,0.000054962868,0.00096661976,0.0014524009,0.0007923568,0.0012149626,0.0005156607,0.0000939925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048949016,0.00023213294,0.33406386,0.00141055,0.00006176822,0.036037274,0.1931277,0.0011121944,0.011539873,0.13087551,0.010831757,0.28021792],"study_design_scores_gemma":[0.000016205773,0.00024949937,0.597465,0.0009479891,0.000049344635,0.004890608,0.1845027,0.000895662,0.0013118568,0.005868438,0.20374656,0.000056136265],"about_ca_topic_score_codex":0.016834438,"about_ca_topic_score_gemma":0.04482729,"teacher_disagreement_score":0.016834438,"about_ca_system_score_codex":0.0017428161,"about_ca_system_score_gemma":0.0021866362,"threshold_uncertainty_score":0.033472896},"labels":[],"label_agreement":null},{"id":"W1969973834","doi":"10.5430/rwe.v2n2p66","title":"Entropy, Substitution and Sustainable Economic Growth","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","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":"Elasticity of substitution; Substitution (logic); Economics; Technical change; Sustainable development; Sustainable growth rate; Entropy (arrow of time); Technical progress; Technological change; Microeconomics; Natural resource economics; Macroeconomics; Thermodynamics; Production (economics); Computer science; Law; Political science","score_opus":0.09665054661989901,"score_gpt":0.2782442627388382,"score_spread":0.18159371611893915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969973834","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":[0.22910543,0.04804779,0.2899149,0.04432912,0.0018356239,0.000076844626,0.0005732666,0.00025153827,0.38586554],"genre_scores_gemma":[0.97413313,0.007200488,0.0070574605,0.00077402854,0.0006181696,0.0000503146,0.00008993222,0.00004428525,0.010032271],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992797,0.00026916398,0.00004114299,0.000121075056,0.00018607445,0.000102879014],"domain_scores_gemma":[0.99848276,0.00087154383,0.00020653634,0.00017237397,0.00017566097,0.00009112241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014421,0.00051397976,0.0006360509,0.0008750966,0.00065687473,0.0011974951,0.00043650912,0.0009992275,0.0034273688],"category_scores_gemma":[0.0027556901,0.00013743927,0.00048399484,0.00081194943,0.004161497,0.003287286,0.0017720651,0.0012186551,0.00040872366],"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":[0.000015649626,0.000007526338,0.00046217322,0.000058311063,0.000015408927,0.00006561481,0.00007517332,0.006951328,0.0002599007,0.9835918,0.0010267985,0.0074703353],"study_design_scores_gemma":[0.0000024947824,0.0000077005525,0.0002494295,0.00001321139,0.0000022040936,0.000026209043,0.000026521657,0.0035157073,0.0000884185,0.99286836,0.003195017,0.0000047883723],"about_ca_topic_score_codex":0.00089471706,"about_ca_topic_score_gemma":0.00067962456,"teacher_disagreement_score":0.0034273688,"about_ca_system_score_codex":0.0011499801,"about_ca_system_score_gemma":0.0006807269,"threshold_uncertainty_score":0.011465669},"labels":[],"label_agreement":null},{"id":"W1971360351","doi":"10.5430/rwe.v2n2p50","title":"Research on MIS Design for Real Estate Company","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Advanced Computational Techniques and Applications","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":"Real estate; Real estate development; Corporate Real Estate; Business; Construct (python library); Property management; Process (computing); Information system; Project management; Engineering management; Investment (military); Construction management; Management information systems; Computer science; Process management; Knowledge management; Systems engineering; Finance; Engineering; Civil engineering","score_opus":0.5045211828840525,"score_gpt":0.49436629255165093,"score_spread":0.010154890332401523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971360351","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":[0.20397289,0.011764909,0.22440004,0.019822136,0.0007512089,0.00036309136,0.00025718872,0.00047726024,0.5381913],"genre_scores_gemma":[0.9079941,0.004016161,0.030847559,0.00058471644,0.00013968609,0.00014776038,0.00012978126,0.00005154652,0.056088604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975891,0.0012947595,0.00016299041,0.0002460979,0.00055265066,0.00015437909],"domain_scores_gemma":[0.99411726,0.0029213473,0.00053343945,0.00042996774,0.001607749,0.0003902127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021218543,0.000457708,0.0003550285,0.0015513824,0.0014921834,0.005195349,0.000623454,0.0010383273,0.015141419],"category_scores_gemma":[0.00753022,0.00023335357,0.00039016956,0.001652384,0.0013964608,0.004453419,0.0008065612,0.000760171,0.0017435738],"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":[0.000096428004,0.00014822793,0.009984968,0.00056614523,0.000042377753,0.0005717621,0.004866007,0.014868631,0.0012606946,0.8131647,0.011217814,0.14321227],"study_design_scores_gemma":[0.000060562725,0.00049310195,0.012503696,0.0007616306,0.0001495472,0.0016114458,0.022104533,0.10029488,0.004811499,0.4234412,0.4336739,0.00009392463],"about_ca_topic_score_codex":0.0027584145,"about_ca_topic_score_gemma":0.0027843479,"teacher_disagreement_score":0.015141419,"about_ca_system_score_codex":0.0045076096,"about_ca_system_score_gemma":0.0028737874,"threshold_uncertainty_score":0.0506531},"labels":[],"label_agreement":null},{"id":"W1973612668","doi":"10.5430/rwe.v4n1p60","title":"The Global Crisis and the Crisis of Democracy: A Cosmopolitan Way Forward?","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","topic":"European Union Policy and Governance","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":"Cosmopolitanism; Democracy; Globalization; Legitimacy; Financial crisis; Political economy; Politics; State (computer science); Economic system; Ecological crisis; Political science; Sociology; Economics; Law; Environmental ethics","score_opus":0.047580662479929176,"score_gpt":0.37190909736890165,"score_spread":0.32432843488897245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973612668","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":[0.013944242,0.04660949,0.004883808,0.8029196,0.0025993378,0.0000179274,0.000040434592,0.000035099172,0.12895004],"genre_scores_gemma":[0.8632121,0.0544001,0.0037119433,0.058509678,0.004199427,0.00010850474,0.00007152444,0.000096540454,0.015690206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9960685,0.0027851898,0.000086898755,0.00028688667,0.00033498494,0.00043759678],"domain_scores_gemma":[0.9952767,0.0022690126,0.000561819,0.00056395447,0.0004747139,0.0008538684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058413674,0.00042941002,0.00083462097,0.001218632,0.0039572036,0.013874297,0.0010251963,0.006163387,0.011729413],"category_scores_gemma":[0.007159805,0.0003017235,0.00046109356,0.0021450906,0.035823498,0.030712418,0.008795335,0.007989272,0.0011354267],"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":[0.000024555025,0.000022847498,0.00041600474,0.000095878335,0.000008858949,0.00009348874,0.0032748105,0.00012037609,0.000034764395,0.97684574,0.007727658,0.011335039],"study_design_scores_gemma":[0.000022512599,0.000018753557,0.00053391827,0.0005316025,0.0000048359184,0.00011666174,0.01300849,0.00020749241,0.000055127606,0.8715035,0.1139823,0.000014707768],"about_ca_topic_score_codex":0.0016733801,"about_ca_topic_score_gemma":0.0022651248,"teacher_disagreement_score":0.013874297,"about_ca_system_score_codex":0.0037495843,"about_ca_system_score_gemma":0.006183811,"threshold_uncertainty_score":0.03923881},"labels":[],"label_agreement":null},{"id":"W1977795377","doi":"10.5430/rwe.v5n2p23","title":"Price Formation of Coffee Beans: New Evidence from the Japanese Market","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economics of Agriculture and Food Markets","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":"Granger causality; Economics; Market price; Monetary economics; Commerce; Agricultural economics; Econometrics; Microeconomics","score_opus":0.0965319158733957,"score_gpt":0.2877312453562818,"score_spread":0.1911993294828861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977795377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914799,0.0016006844,0.0009967999,0.00038416608,0.000030858588,0.000013334559,0.00017055837,0.000012066939,0.005311649],"genre_scores_gemma":[0.9979741,0.0009257894,0.00026371563,0.0000724358,0.00005002007,0.0000033524495,0.0002368327,0.000008348406,0.0004655208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952483,0.000113656344,0.00005793627,0.00011336537,0.00011806562,0.00007219526],"domain_scores_gemma":[0.9916027,0.0025882057,0.0033141118,0.00073274085,0.0012822106,0.00048006498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016022613,0.0003837671,0.00057324633,0.0016152266,0.00080459565,0.0020828042,0.0004907105,0.0005133036,0.004389708],"category_scores_gemma":[0.0071274163,0.0003232315,0.0010064072,0.0020817183,0.0012567742,0.0020394933,0.0012171685,0.00076292467,0.0004567757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001818575,0.0004416885,0.9257395,0.00083512714,0.0011797127,0.0030281325,0.006930893,0.0014570405,0.006734708,0.009144957,0.0019571343,0.040732466],"study_design_scores_gemma":[0.00010804376,0.00021655778,0.9816412,0.000046901707,0.0008023615,0.00030390525,0.003629219,0.0031079696,0.0013964945,0.003299669,0.00537591,0.0000717576],"about_ca_topic_score_codex":0.025759263,"about_ca_topic_score_gemma":0.022877568,"teacher_disagreement_score":0.025759263,"about_ca_system_score_codex":0.00069936545,"about_ca_system_score_gemma":0.0006809709,"threshold_uncertainty_score":0.05121863},"labels":[],"label_agreement":null},{"id":"W1977881385","doi":"10.5430/rwe.v4n2p18","title":"A More Practical Method for Explaining Demand","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Human Behavior and Motivation","field":"Psychology","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":"Identification (biology); Consumption (sociology); Economics; Portfolio; Modern portfolio theory; Demand management; Personal consumption expenditures price index; Computer science; Microeconomics; Environmental economics; Financial economics; Macroeconomics; Personal income","score_opus":0.309993599849718,"score_gpt":0.5580821859264558,"score_spread":0.24808858607673773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977881385","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":[0.010955568,0.00014900246,0.9372391,0.001969161,0.00041363708,0.00031194973,0.0020363221,0.0006186178,0.04630656],"genre_scores_gemma":[0.3360837,0.00065723085,0.5899328,0.001005466,0.0005764766,0.001971404,0.004400331,0.00059714535,0.06477537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998926,0.00042462503,0.00006297791,0.00022889288,0.00028658527,0.00007084984],"domain_scores_gemma":[0.99790597,0.0012640319,0.00013463579,0.00032335604,0.0003309061,0.00004100059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018593275,0.001288731,0.00072446564,0.0027833646,0.0007350476,0.0020239921,0.0015755557,0.0016053246,0.064436376],"category_scores_gemma":[0.007900232,0.0003365735,0.0016331442,0.0042559365,0.0008746147,0.0034305332,0.0011198934,0.0018931231,0.009521176],"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":[0.00005397591,0.00022351174,0.008597974,0.0002968173,0.00010363776,0.00018010546,0.0011737297,0.021013118,0.0014458133,0.7836348,0.023979248,0.15929727],"study_design_scores_gemma":[0.00008827092,0.00020781817,0.007368022,0.00013910614,0.00006625546,0.00048013887,0.0016375311,0.2067092,0.0013466643,0.62083036,0.16102114,0.00010542415],"about_ca_topic_score_codex":0.0054446175,"about_ca_topic_score_gemma":0.0032360477,"teacher_disagreement_score":0.064436376,"about_ca_system_score_codex":0.00096621603,"about_ca_system_score_gemma":0.0011731202,"threshold_uncertainty_score":0.21556115},"labels":[],"label_agreement":null},{"id":"W1987836729","doi":"10.5430/rwe.v1n1p28","title":"Consolidation and Business Strategies in the Securities Industry: How Securities Exchanges Create Value?","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Banking stability, regulation, efficiency","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":"Consolidation (business); Business; Mergers and acquisitions; Revenue; Goodwill; Competition (biology); Market liquidity; Business model; Industrial organization; Finance; Commerce","score_opus":0.07368696593146891,"score_gpt":0.31257197895590544,"score_spread":0.23888501302443654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987836729","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":[0.4057643,0.036071084,0.033466317,0.10536547,0.00050487864,0.00014585414,0.000117984,0.0000947521,0.4184694],"genre_scores_gemma":[0.9837811,0.0047900844,0.0012664198,0.0011221092,0.00023317282,0.000026832664,0.000029514975,0.000019812564,0.008731053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99723023,0.0014481763,0.00009624957,0.00025121,0.00050500233,0.00046909883],"domain_scores_gemma":[0.995884,0.0015754752,0.0009393042,0.00029774444,0.0007220353,0.0005813713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002976814,0.00032327496,0.000556149,0.001839089,0.0017413931,0.016990103,0.0007312385,0.004039121,0.0058541745],"category_scores_gemma":[0.009457891,0.0003041774,0.00047365832,0.0023321584,0.010397274,0.016778912,0.0033222905,0.002451635,0.0010749993],"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":[0.000036838246,0.000056119035,0.0035544243,0.0000434413,0.000015153881,0.00015082392,0.0015463926,0.0014783297,0.0002579482,0.971633,0.0022523943,0.018975137],"study_design_scores_gemma":[0.00002766109,0.000072726114,0.004873652,0.0002048116,0.000018389304,0.00015222483,0.0040701707,0.0031353317,0.000449758,0.95056784,0.03640258,0.000024889674],"about_ca_topic_score_codex":0.0022829585,"about_ca_topic_score_gemma":0.0015650839,"teacher_disagreement_score":0.016990103,"about_ca_system_score_codex":0.003626369,"about_ca_system_score_gemma":0.0027476312,"threshold_uncertainty_score":0.026311219},"labels":[],"label_agreement":null},{"id":"W2001774082","doi":"10.5430/rwe.v6n1p172","title":"Income Inequality, Fertility, Human Capital Accumulation and Economic Growth in Mexico","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","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; Human capital; Fertility; Inequality; Total fertility rate; Economic inequality; Demographic economics; Labour economics; Population; Economic growth; Demography; Research methodology; Sociology; Mathematics","score_opus":0.25451946198912717,"score_gpt":0.3871992290357068,"score_spread":0.13267976704657963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001774082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946467,0.00083480484,0.00016605377,0.0004765985,0.0000046467076,0.000003980362,0.00025858777,0.0000031562024,0.0036054542],"genre_scores_gemma":[0.9986689,0.00062669965,0.00008169784,0.000015259331,0.000011389974,0.0000045824468,0.0001618418,9.809463e-7,0.00042856912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986994,0.000034676552,0.000004551746,0.0000158847,0.000016175027,0.00005878598],"domain_scores_gemma":[0.9990847,0.00036681516,0.00038183763,0.000029304116,0.00006067769,0.00007674388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000559923,0.000111621586,0.00019508619,0.0009640134,0.00050441385,0.0008617538,0.00016483314,0.00018182662,0.0016897331],"category_scores_gemma":[0.0015479943,0.000073644485,0.00018902926,0.0013317588,0.00043452258,0.00046984546,0.00066057086,0.00041991478,0.00006233493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012793424,0.00010867695,0.9722455,0.000040826835,0.000083204344,0.00018919303,0.000966093,0.0024655617,0.00015557326,0.012582869,0.0006441882,0.010390342],"study_design_scores_gemma":[0.000007405284,0.000042181586,0.99129266,0.00003526219,0.000043948756,0.000064111264,0.0015250607,0.00198569,0.00009176004,0.0025244625,0.0023818286,0.000005490077],"about_ca_topic_score_codex":0.03328394,"about_ca_topic_score_gemma":0.023594411,"teacher_disagreement_score":0.03328394,"about_ca_system_score_codex":0.0009129507,"about_ca_system_score_gemma":0.00045053737,"threshold_uncertainty_score":0.06618041},"labels":[],"label_agreement":null},{"id":"W2003786529","doi":"10.5430/rwe.v2n2p21","title":"An Analysis of Emerging China’s Economy and its Influence on World Economy","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Globalization, Economics, 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":"China; Chinese economy; World economy; Economics; Post-industrial economy; Foreign direct investment; Investment (military); Information economy; Economy; Emerging markets; Planned economy; Economic system; Market economy; Macroeconomics; Political science","score_opus":0.09603700958746138,"score_gpt":0.3255285905728969,"score_spread":0.22949158098543554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003786529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9007483,0.0037631316,0.0023630343,0.007973488,0.00008341656,0.000031940548,0.00052941265,0.0000205302,0.08448669],"genre_scores_gemma":[0.99356765,0.0020694279,0.00015720542,0.00011861193,0.000046144494,0.000007359857,0.000097329044,0.0000045293064,0.003931675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9999131,0.000019864669,0.0000034495001,0.000010272213,0.00001836211,0.00003493074],"domain_scores_gemma":[0.99975365,0.00005496775,0.00005762109,0.0000089017785,0.00006585332,0.00005904776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002887094,0.00019884288,0.00016702552,0.00097383506,0.0006168828,0.0014996242,0.00021531536,0.00026719784,0.0035784729],"category_scores_gemma":[0.00060187496,0.00007385223,0.00039535257,0.0013614595,0.00048996194,0.00105771,0.00051808293,0.0004268029,0.00012075472],"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":[0.00011799481,0.000118358505,0.21077919,0.00028533908,0.00016289092,0.004054676,0.0025078813,0.03967106,0.0015504557,0.67891526,0.018368648,0.043468226],"study_design_scores_gemma":[0.000029921854,0.00012572679,0.6307169,0.00026082568,0.00021776948,0.00038426046,0.007292744,0.13124257,0.0010009446,0.15598825,0.07267289,0.00006728245],"about_ca_topic_score_codex":0.05707965,"about_ca_topic_score_gemma":0.05948799,"teacher_disagreement_score":0.05707965,"about_ca_system_score_codex":0.0027024082,"about_ca_system_score_gemma":0.0025315508,"threshold_uncertainty_score":0.11349481},"labels":[],"label_agreement":null},{"id":"W2006191530","doi":"10.5430/rwe.v2n1p58","title":"Industrialization of the Manufacturing Sector and Trade Opening in Cameroon","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade and economics","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":"Industrialisation; Manufacturing sector; Economics; Manufacturing; Business; International economics; Market economy","score_opus":0.38005150098666046,"score_gpt":0.29674288059937615,"score_spread":0.08330862038728432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006191530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969338,0.0012004684,0.00041956187,0.00024308675,0.000014490732,0.000004945089,0.00027849042,0.000007996424,0.00089708884],"genre_scores_gemma":[0.9988538,0.0005269656,0.00008934959,0.000015548101,0.000010027204,0.0000026192195,0.00020804937,0.000002274175,0.00029139116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995036,0.00015637794,0.000030029143,0.000082031525,0.000041141695,0.00018683495],"domain_scores_gemma":[0.9942977,0.0024191288,0.0025464322,0.00016400653,0.0002304217,0.0003423365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008850983,0.00033112612,0.0003466369,0.0010220133,0.00041501675,0.0013908294,0.00017598135,0.00027159188,0.0033994368],"category_scores_gemma":[0.003076089,0.00018862203,0.0005222164,0.0021848143,0.0006168937,0.0009183869,0.000983536,0.0008162141,0.00019431688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018289131,0.00006396395,0.9868196,0.000039165763,0.000114220275,0.00063055335,0.00033444935,0.004038174,0.00040761818,0.00082299166,0.00027751861,0.0062688775],"study_design_scores_gemma":[0.000008004867,0.000070816626,0.9914682,0.000050204868,0.00006082152,0.00015871333,0.0007591467,0.0055107647,0.00041360385,0.0004080689,0.0010809354,0.000010695617],"about_ca_topic_score_codex":0.031212011,"about_ca_topic_score_gemma":0.022042958,"teacher_disagreement_score":0.031212011,"about_ca_system_score_codex":0.0010333557,"about_ca_system_score_gemma":0.0007676328,"threshold_uncertainty_score":0.062060654},"labels":[],"label_agreement":null},{"id":"W2006255032","doi":"10.5430/rwe.v3n1p2","title":"The Practice of Corporate Governance in Companies Receiving Foreign Direct Investment in Cameroon","year":2012,"lang":"en","type":"article","venue":"Research in World Economy","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":"Corporate governance; Foreign direct investment; Business; Foreign capital; Element (criminal law); Capital (architecture); Foreign ownership; Accounting; Capital investment; Financial system; Monetary economics; Market economy; Finance; Economics; Macroeconomics","score_opus":0.08647808275121081,"score_gpt":0.30478538759838314,"score_spread":0.2183073048471723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006255032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679714,0.00055112835,0.00009253464,0.0005268529,0.0000075176727,0.000009241694,0.00001151169,9.2520946e-7,0.002003167],"genre_scores_gemma":[0.9994493,0.00014380213,0.000043488075,0.00002466319,0.00000222748,0.0000018622799,0.0000046800033,2.9758652e-7,0.00032961526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908245,0.00043776463,0.00003973294,0.000101308746,0.00006546214,0.00027320645],"domain_scores_gemma":[0.9973857,0.000641994,0.0011727146,0.000097532036,0.00026765236,0.00043450113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014353647,0.00015068143,0.00011080627,0.00082311,0.0013315693,0.0017452876,0.00022449042,0.00038874167,0.0018360461],"category_scores_gemma":[0.0028632095,0.00011888747,0.000056582696,0.0009501431,0.0017175564,0.00079352834,0.0008141897,0.00038183024,0.00006280284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022436536,0.00012990671,0.8370038,0.00013958318,0.000021279824,0.003996775,0.079976864,0.00048420744,0.0034103985,0.013113453,0.0012731375,0.060226113],"study_design_scores_gemma":[0.000009006115,0.0001172578,0.91481304,0.0001908868,0.000013154579,0.0009439066,0.071015775,0.00067203044,0.00066446397,0.0007102945,0.010830156,0.000019978539],"about_ca_topic_score_codex":0.025443627,"about_ca_topic_score_gemma":0.03949225,"teacher_disagreement_score":0.025443627,"about_ca_system_score_codex":0.0029237221,"about_ca_system_score_gemma":0.0020468184,"threshold_uncertainty_score":0.05059105},"labels":[],"label_agreement":null},{"id":"W2014343422","doi":"10.5430/rwe.v2n1p77","title":"Reconsidering the Dynamic Interaction between Real Wages and Macroeconomic Activity","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Theory and Policy","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":"Economics; Wage; Estimation; Distribution (mathematics); Macro; Dynamics (music); Econometrics; Microeconomics; Macroeconomics; Labour economics","score_opus":0.3145473162093074,"score_gpt":0.35606779175512004,"score_spread":0.04152047554581262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014343422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.800109,0.0033305539,0.11709806,0.027977291,0.00044505103,0.00003800968,0.00105729,0.00015553352,0.049789175],"genre_scores_gemma":[0.99157315,0.0010006126,0.0031872909,0.0004410615,0.00010146519,0.00000929448,0.00007878414,0.000015113475,0.003593134],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982613,0.000054356067,0.000006875895,0.000051025803,0.000027530976,0.00003401561],"domain_scores_gemma":[0.9993807,0.0003685573,0.00012727897,0.0000397817,0.00004474325,0.000038849004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042401103,0.00027178435,0.0004314892,0.00028766695,0.0003987787,0.0020602283,0.00046219784,0.0006829599,0.0055414964],"category_scores_gemma":[0.002355594,0.00020303612,0.00028950706,0.00053081784,0.00069775607,0.0023945519,0.00073533383,0.0010676679,0.00035595454],"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":[0.00010504839,0.00010505581,0.053534362,0.00016722661,0.00013060747,0.0007644828,0.0011194405,0.089994594,0.005380217,0.81175745,0.0032319438,0.03370959],"study_design_scores_gemma":[0.000056218032,0.00015756815,0.07147497,0.00012483343,0.00013320043,0.00034677688,0.00195751,0.23771457,0.0016648595,0.6562402,0.030030197,0.0000990414],"about_ca_topic_score_codex":0.009116062,"about_ca_topic_score_gemma":0.0110151395,"teacher_disagreement_score":0.009116062,"about_ca_system_score_codex":0.0007524478,"about_ca_system_score_gemma":0.0008752292,"threshold_uncertainty_score":0.018538177},"labels":[],"label_agreement":null},{"id":"W2016143707","doi":"10.5430/rwe.v5n1p106","title":"Specifics of the Economic Crisis in Russia","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Monopolization; Language change; Economics; Russian economy; Economy; Economic system; Market economy","score_opus":0.09238403578147422,"score_gpt":0.38031149709015594,"score_spread":0.28792746130868174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016143707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85623807,0.008999641,0.002052519,0.00805447,0.00042953476,0.000105614854,0.0010083335,0.000072665476,0.123039156],"genre_scores_gemma":[0.9913539,0.0049800836,0.0002741981,0.00021002615,0.000097208744,0.000025017538,0.0003594671,0.000010492929,0.0026894566],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995827,0.00015738934,0.00005590778,0.000035216104,0.00007662881,0.000092176444],"domain_scores_gemma":[0.9996644,0.00007761255,0.00012370366,0.000016990554,0.00006285052,0.000054462722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036969164,0.00015762162,0.00018134752,0.0014005931,0.001226892,0.0015717249,0.00013628548,0.00040758596,0.0020508645],"category_scores_gemma":[0.0013063268,0.00011220349,0.00016455016,0.0017220047,0.0010647968,0.00092809915,0.0012824178,0.0005663483,0.00018089196],"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":[0.000529208,0.00019086224,0.40455225,0.0037409465,0.00013037352,0.016603708,0.11194112,0.0069341757,0.011590101,0.20273758,0.037304364,0.20374528],"study_design_scores_gemma":[0.000008708119,0.00009069968,0.70883036,0.00075379456,0.00003734001,0.0063142814,0.07333375,0.0013796096,0.0014072031,0.022379545,0.1854122,0.000052506417],"about_ca_topic_score_codex":0.0032776932,"about_ca_topic_score_gemma":0.0035277759,"teacher_disagreement_score":0.0032776932,"about_ca_system_score_codex":0.0010247163,"about_ca_system_score_gemma":0.0015150078,"threshold_uncertainty_score":0.0074349046},"labels":[],"label_agreement":null},{"id":"W2022642465","doi":"10.5430/rwe.v2n2p71","title":"Health Outcome Inequities and the Health System: A Case Study of Egypt","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Health Care Issues","field":"Health Professions","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":"Health equity; Disadvantaged; Health policy; Environmental health; Economic growth; Equity (law); Documentation; Outcome (game theory); Social determinants of health; Health indicator; Health promotion; Race and health; HRHIS; Health education; Population; Business; Medicine; Health care; Political science; Economics","score_opus":0.48852983192602717,"score_gpt":0.5813682613197629,"score_spread":0.09283842939373577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022642465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650675,0.00020106789,0.0002311886,0.00057860464,0.0000032212627,0.000036236408,0.0000855061,0.0000025866227,0.0023548785],"genre_scores_gemma":[0.9970739,0.00062742946,0.00040159546,0.00011211352,0.0000044899625,0.000024018567,0.000050251474,0.0000036628537,0.0017026057],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9990803,0.00043843198,0.00003672257,0.000049423536,0.00006759534,0.0003274905],"domain_scores_gemma":[0.9989808,0.00046911073,0.00016986346,0.00006615717,0.00011960886,0.0001944436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013421976,0.00042413475,0.00046288501,0.001330681,0.0041520265,0.0019044599,0.00094870717,0.0017742037,0.0039527216],"category_scores_gemma":[0.0021823945,0.0002738167,0.00044586632,0.0026114574,0.0016109331,0.0009861891,0.0026554263,0.0011855621,0.00021638678],"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":[0.0008939195,0.004350716,0.48255917,0.0012428805,0.00032253718,0.12439958,0.24677466,0.006808173,0.0025425693,0.03755607,0.005189971,0.08735974],"study_design_scores_gemma":[0.00010831793,0.0007259307,0.18798971,0.0006286925,0.00018411239,0.011085316,0.77139413,0.0058631026,0.0018745126,0.0036787605,0.016360747,0.00010664085],"about_ca_topic_score_codex":0.10450679,"about_ca_topic_score_gemma":0.1486205,"teacher_disagreement_score":0.10450679,"about_ca_system_score_codex":0.006962398,"about_ca_system_score_gemma":0.003230646,"threshold_uncertainty_score":0.20779699},"labels":[],"label_agreement":null},{"id":"W2023024695","doi":"10.5430/rwe.v4n2p28","title":"Tunneling and Monitoring in Chinese Share Market","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","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":"Expropriation; Shareholder; Commission; Business; China; Empirical research; Monetary economics; Market share; Accounting; Economics; Market economy; Finance; Corporate governance; Law","score_opus":0.053282647913064446,"score_gpt":0.2947235164650035,"score_spread":0.24144086855193905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023024695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924144,0.00019365888,0.0017581435,0.0002992456,0.0000037885266,0.000020084699,0.000020861771,0.000013608637,0.0052763405],"genre_scores_gemma":[0.9994362,0.000042572185,0.00011217452,0.000010901165,0.000002308308,0.000002364813,0.0000057011107,5.0502223e-7,0.0003873032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992077,0.00016583984,0.000058766374,0.00018805848,0.00019502133,0.0001846881],"domain_scores_gemma":[0.9972185,0.0006469432,0.0016581004,0.00015189675,0.0001579285,0.00016674037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016784333,0.00021051924,0.000355846,0.00068449904,0.00083691446,0.0014311437,0.0005849896,0.0009981851,0.0020411129],"category_scores_gemma":[0.0039522112,0.00021323636,0.00039779025,0.0006802943,0.0016742065,0.0017449786,0.0008766067,0.00053588935,0.00006212427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059701514,0.00043882473,0.55613106,0.00022165729,0.00017708325,0.0042910115,0.008135306,0.027072545,0.012989369,0.31370223,0.0016909314,0.07455299],"study_design_scores_gemma":[0.00017562903,0.00047530266,0.643553,0.00009754349,0.00035464275,0.001412919,0.0035950788,0.22094314,0.005589475,0.11926007,0.004364754,0.0001784055],"about_ca_topic_score_codex":0.015161179,"about_ca_topic_score_gemma":0.009548142,"teacher_disagreement_score":0.015161179,"about_ca_system_score_codex":0.0023779224,"about_ca_system_score_gemma":0.0016183001,"threshold_uncertainty_score":0.030145884},"labels":[],"label_agreement":null},{"id":"W2024776329","doi":"10.5430/rwe.v4n1p82","title":"The Trend Analysis on China's Agricultural Natural Risks and Improvement of the Ability of Disaster Mitigation","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology and Security Systems","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":"Natural disaster; Agriculture; China; Macro; Environmental planning; Emergency management; Natural resource economics; Environmental resource management; Geography; Environmental science; Computer science; Economic growth; Economics; Meteorology","score_opus":0.024327670671933047,"score_gpt":0.2998654122054372,"score_spread":0.2755377415335042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024776329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726785,0.0009747291,0.011631614,0.0007837945,0.00005992691,0.000041923435,0.0019958615,0.00011075838,0.011722764],"genre_scores_gemma":[0.99513173,0.00069395656,0.0017439454,0.000021074862,0.000035210207,0.000013186689,0.000942235,0.000008886232,0.0014096749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997094,0.000048128783,0.000029480216,0.00006239688,0.00010365434,0.000046907826],"domain_scores_gemma":[0.99917585,0.00015329498,0.00015721218,0.000061452316,0.00040879167,0.000043406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009712998,0.0002472357,0.00016647886,0.0026931202,0.00025711794,0.00062415755,0.00023221252,0.00016480172,0.0014340926],"category_scores_gemma":[0.0024236804,0.00007926236,0.00035414624,0.0038679044,0.00019151748,0.00090955634,0.00029265627,0.0002789491,0.0001222641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002077927,0.000062788335,0.7621535,0.000308362,0.0002037779,0.0006366217,0.0021213854,0.02090098,0.0034682755,0.024144381,0.006641467,0.1791507],"study_design_scores_gemma":[0.000010310797,0.00013745579,0.92979956,0.00007016459,0.000117657655,0.00023550332,0.0012680999,0.050156847,0.0012494123,0.0059522227,0.010966214,0.000036487036],"about_ca_topic_score_codex":0.0238318,"about_ca_topic_score_gemma":0.017577352,"teacher_disagreement_score":0.0238318,"about_ca_system_score_codex":0.0008767554,"about_ca_system_score_gemma":0.0012557984,"threshold_uncertainty_score":0.04738611},"labels":[],"label_agreement":null},{"id":"W2026791562","doi":"10.5430/rwe.v2n1p94","title":"Analysis of Factors and Countermeasures on Intellectual Property Friction in China's Foreign Trade","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","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":"China; Intellectual property; International trade; Government (linguistics); Business; Political science; Law","score_opus":0.302518799337,"score_gpt":0.29054813033483307,"score_spread":0.011970669002166923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026791562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857329,0.0011690141,0.00041203114,0.0006414649,0.000010717669,0.000032197117,0.00005184202,0.00001159982,0.011938189],"genre_scores_gemma":[0.99922395,0.00023226335,0.000053352393,0.000019746996,0.000006750761,0.000003021028,0.00002409505,0.0000011413789,0.00043565183],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9986833,0.0001494798,0.000116926356,0.00013725503,0.0004885816,0.00042452873],"domain_scores_gemma":[0.9969072,0.0007290801,0.0015602072,0.00015868104,0.0003412899,0.00030352478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013779746,0.0002782516,0.00048272547,0.0029843212,0.0012917042,0.0032561384,0.0004204784,0.0005406141,0.004495741],"category_scores_gemma":[0.005024329,0.00012865283,0.00042899413,0.0031845625,0.0016795963,0.0022460395,0.0011801594,0.0005947837,0.00016814182],"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":[0.00018303112,0.00018610219,0.8590393,0.00035131484,0.00019353042,0.0028199938,0.0065527875,0.007447542,0.0018070122,0.061630603,0.0021414869,0.05764721],"study_design_scores_gemma":[0.000026500198,0.000081384154,0.9631908,0.00022191434,0.00010741818,0.0003283568,0.010901933,0.007455844,0.0007970405,0.008688112,0.008166502,0.000034058583],"about_ca_topic_score_codex":0.020589387,"about_ca_topic_score_gemma":0.014298167,"teacher_disagreement_score":0.020589387,"about_ca_system_score_codex":0.0031821402,"about_ca_system_score_gemma":0.003809867,"threshold_uncertainty_score":0.040939093},"labels":[],"label_agreement":null},{"id":"W2026861603","doi":"10.5430/rwe.v3n1p54","title":"Globalization and Economic Growth: A Case Study in A Few Developing Countries (1980-2010)","year":2012,"lang":"en","type":"article","venue":"Research in World Economy","topic":"International Business and FDI","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":"Foreign direct investment; Economics; Globalization; Gross domestic product; International economics; Gross private domestic investment; Economic globalization; Developing country; Real gross domestic product; Gross domestic income; Scale (ratio); International trade; Production (economics); Monetary economics; Macroeconomics; Economic growth; Market economy; Return on investment; Gross income","score_opus":0.08352556981143744,"score_gpt":0.33951752159188076,"score_spread":0.2559919517804433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026861603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641633,0.00045676087,0.0000750183,0.00014890627,0.0000035804246,0.000017533195,0.00008853911,0.0000019499523,0.002791358],"genre_scores_gemma":[0.9962214,0.0025330158,0.00026317063,0.000053405103,0.00001044622,0.00002113094,0.00018093387,0.000003871052,0.00071252795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968565,0.00012568987,0.000019783685,0.000022199463,0.000035183206,0.00011154913],"domain_scores_gemma":[0.99923193,0.0002969887,0.00018661057,0.000038719285,0.000085332074,0.00016040633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000918713,0.00034275305,0.00028017652,0.0019300871,0.0023914967,0.0013234768,0.00026991396,0.0005480429,0.00086960435],"category_scores_gemma":[0.0013122389,0.00018334211,0.00031175866,0.0043538865,0.0011068353,0.0009716557,0.0011430003,0.0008365035,0.00014337384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029156503,0.0008736863,0.85248685,0.0003020328,0.000060272476,0.038663186,0.05422194,0.002852381,0.00095336774,0.0056624403,0.0025744035,0.0410578],"study_design_scores_gemma":[0.000042350155,0.00036637567,0.83297634,0.00022887246,0.00007749337,0.006728745,0.1345411,0.0012795746,0.00087308686,0.0008844748,0.021962207,0.00003935549],"about_ca_topic_score_codex":0.036508463,"about_ca_topic_score_gemma":0.06373077,"teacher_disagreement_score":0.036508463,"about_ca_system_score_codex":0.0020106263,"about_ca_system_score_gemma":0.0012015615,"threshold_uncertainty_score":0.07259196},"labels":[],"label_agreement":null},{"id":"W2027378326","doi":"10.5430/rwe.v5n2p189","title":"Model of Entry on a Foreign Market and the Characteristics of the Assortment Offer of Furniture Exporters from Bosnia and Herzegovina","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"International Business and FDI","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; Commerce; Marketing; Perception; Industrial organization","score_opus":0.036856128013376434,"score_gpt":0.25252498896491404,"score_spread":0.21566886095153762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027378326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709964,0.00002883078,0.00004518604,0.0000481085,0.0000011555518,0.000004599855,0.000020876674,8.2738075e-7,0.002750718],"genre_scores_gemma":[0.99897987,0.000031162373,0.000027382719,0.000006583401,0.0000016651892,0.0000022499967,0.000039845574,8.356703e-7,0.00091032503],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972147,0.00007562761,0.000014947452,0.000025841662,0.000059407743,0.00010283197],"domain_scores_gemma":[0.9984794,0.00053475355,0.00054958696,0.000052154493,0.000097937416,0.00028618192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350543,0.0001768527,0.000142633,0.00078866485,0.000581612,0.0019536028,0.00030498087,0.00041469326,0.010316754],"category_scores_gemma":[0.0019473231,0.000088880595,0.0002972052,0.0005495268,0.00052740425,0.00074975326,0.0005057491,0.0005667695,0.00072094286],"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":[0.00020532928,0.00023841452,0.9824028,0.00001768538,0.000023853085,0.0008460941,0.006484164,0.0005142632,0.0010450967,0.002862781,0.0002552882,0.0051042647],"study_design_scores_gemma":[0.0000080650525,0.00016169611,0.9741965,0.00003231822,0.000018040095,0.0007474513,0.020536035,0.0020761725,0.00021732293,0.00036297724,0.0016294403,0.000014007083],"about_ca_topic_score_codex":0.009461545,"about_ca_topic_score_gemma":0.00916705,"teacher_disagreement_score":0.010316754,"about_ca_system_score_codex":0.0005846496,"about_ca_system_score_gemma":0.00040878635,"threshold_uncertainty_score":0.034512997},"labels":[],"label_agreement":null},{"id":"W2028852071","doi":"10.5430/rwe.v1n1p10","title":"Functionary Mechanism between Demographic Structure and Economic Growth in China Based on Cointegrating Methods","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","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":"National Science Foundation","keywords":"Cointegration; Economics; China; Error correction model; Per capita; Birth rate; Demographic transition; Wage; Population; Demographic economics; Labour economics; Econometrics; Fertility; Demography; Geography","score_opus":0.05412082470434268,"score_gpt":0.31972040993536166,"score_spread":0.265599585231019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028852071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76851994,0.00097412604,0.22497842,0.0011301822,0.00007977361,0.00010006215,0.00032499447,0.00021469517,0.0036777807],"genre_scores_gemma":[0.9924154,0.00038273513,0.005605823,0.000032625663,0.00002159071,0.000054488155,0.00017768801,0.000011371734,0.0012981537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987674,0.0006250361,0.00007282183,0.00027340825,0.0000990749,0.00016228607],"domain_scores_gemma":[0.9969982,0.001802031,0.00056957523,0.0001819795,0.00035669887,0.000091588496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026660718,0.00042035154,0.00059974764,0.0017234718,0.00050554064,0.001124201,0.00064862234,0.00061069825,0.0021716035],"category_scores_gemma":[0.008986478,0.00023968276,0.0010315852,0.0016772242,0.0008105093,0.0015306773,0.00075416017,0.0005729945,0.00013900717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015405242,0.00012877736,0.44355425,0.00022123271,0.00066661293,0.0010927046,0.0017860163,0.2528274,0.0018083381,0.19174315,0.0019382031,0.10407928],"study_design_scores_gemma":[0.00002407469,0.00006126699,0.06412966,0.000035909998,0.00015286884,0.00008851353,0.00026117818,0.90479434,0.0004935283,0.028625378,0.0013004859,0.00003276816],"about_ca_topic_score_codex":0.021522768,"about_ca_topic_score_gemma":0.010865716,"teacher_disagreement_score":0.021522768,"about_ca_system_score_codex":0.00097174227,"about_ca_system_score_gemma":0.0017934027,"threshold_uncertainty_score":0.042794943},"labels":[],"label_agreement":null},{"id":"W2029532063","doi":"10.5430/rwe.v4n1p76","title":"A More Practical Method for Explaining Supply","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","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":"Portfolio; Economics; Modern portfolio theory; Production (economics); Rate of return; Investment (military); Microeconomics; Financial economics; Finance","score_opus":0.18326035692937503,"score_gpt":0.39997852842880344,"score_spread":0.2167181714994284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029532063","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":[0.0019702755,0.0011661958,0.80763745,0.01604121,0.002898896,0.00020025697,0.00088778837,0.0007424968,0.16845551],"genre_scores_gemma":[0.10807432,0.0031367696,0.6677448,0.007404598,0.003369834,0.0015383693,0.0017196957,0.0011219509,0.20588961],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909055,0.00032592475,0.00007495555,0.00017585323,0.000254641,0.000078151024],"domain_scores_gemma":[0.9982791,0.0008694336,0.00014207387,0.0003040057,0.0003533301,0.00005209308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018801348,0.0014780097,0.0006743049,0.0030335116,0.0016445513,0.0040822867,0.002426234,0.003636132,0.088736735],"category_scores_gemma":[0.0062963427,0.00051315635,0.0018928049,0.002620774,0.0034866966,0.009612969,0.0021270066,0.004181525,0.014743947],"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":[0.0000056966433,0.000017118828,0.00010678431,0.000041120205,0.000005749607,0.00007070105,0.00023029606,0.0013800211,0.00017730934,0.97628057,0.011362006,0.010322729],"study_design_scores_gemma":[0.000013939952,0.000022344833,0.0001502305,0.00006397364,0.000008192593,0.0001844235,0.00026865824,0.007120616,0.0002275461,0.752468,0.23945363,0.000018448707],"about_ca_topic_score_codex":0.004237535,"about_ca_topic_score_gemma":0.0028594665,"teacher_disagreement_score":0.088736735,"about_ca_system_score_codex":0.0018166257,"about_ca_system_score_gemma":0.0016748195,"threshold_uncertainty_score":0.29685396},"labels":[],"label_agreement":null},{"id":"W2031904644","doi":"10.5430/rwe.v6n1p199","title":"Money Illusion and Exchange Rate Dynamics in a Small Open Economy","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic theories and models","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; Exchange rate; Monetary economics; Openness to experience; Consumption (sociology); Open economy; Demand shock; Shock (circulatory); Illusion; Small open economy; Phenomenon","score_opus":0.22697050820356005,"score_gpt":0.3349089700201812,"score_spread":0.10793846181662117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031904644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845471,0.00033622264,0.009325513,0.00075964245,0.000018786302,0.0000057259535,0.00002118818,0.000020178224,0.0049657207],"genre_scores_gemma":[0.99949324,0.00008386104,0.0001776004,0.000010587395,0.000009856865,0.0000011364073,0.0000041012595,0.0000016040757,0.00021788213],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99972385,0.00010952542,0.000020822155,0.00004488754,0.000051135103,0.00004968787],"domain_scores_gemma":[0.99529356,0.0021647667,0.0016199383,0.000266657,0.00017150384,0.00048362216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007661518,0.00019955095,0.00034102917,0.0005906116,0.00041173992,0.0019017109,0.00028754273,0.0005147733,0.0017697983],"category_scores_gemma":[0.006702895,0.00016895922,0.00023088593,0.00036284683,0.002043,0.0040575373,0.0013769043,0.0010634814,0.000116332594],"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":[0.0013834108,0.00024103135,0.05568706,0.00013254899,0.00016529467,0.0035067766,0.0026809669,0.068380624,0.015396326,0.83185184,0.000894896,0.019679153],"study_design_scores_gemma":[0.00014771895,0.00026475065,0.042441104,0.000043067612,0.00007718996,0.000825676,0.0013722356,0.30348894,0.002481654,0.6461376,0.0026390357,0.000081039776],"about_ca_topic_score_codex":0.00069885113,"about_ca_topic_score_gemma":0.00029608127,"teacher_disagreement_score":0.0019017109,"about_ca_system_score_codex":0.000469445,"about_ca_system_score_gemma":0.00020585112,"threshold_uncertainty_score":0.005920589},"labels":[],"label_agreement":null},{"id":"W2033343335","doi":"10.5430/rwe.v2n2p36","title":"Breakout Financial Protection Encirclement: International Development Road of SWFs in China","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","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":"Sovereign wealth fund; Foreign-exchange reserves; Business; Finance; China; Investment (military); Financial system; Special drawing rights; Order (exchange); Foreign direct investment; Economics; Foreign exchange risk; Exchange rate; Reserve currency","score_opus":0.07280918482504088,"score_gpt":0.27648506923225635,"score_spread":0.20367588440721546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033343335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96319216,0.00087173755,0.00043408026,0.0034425354,0.000017236864,0.000038881604,0.00011972802,0.000025482452,0.03185825],"genre_scores_gemma":[0.99657923,0.00043148416,0.00014245132,0.000063859145,0.0000058477535,0.0000068825752,0.000040083825,0.0000018151778,0.0027284336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997309,0.000021605214,0.0000118492635,0.000029906007,0.00005092683,0.00015484945],"domain_scores_gemma":[0.9995522,0.00003842328,0.00013475028,0.000020713735,0.000092589995,0.00016126821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004959643,0.00021375503,0.0001643982,0.0017960586,0.0015601707,0.0020443625,0.00031673722,0.0004822559,0.0041747857],"category_scores_gemma":[0.0008918143,0.00011815354,0.00025309724,0.0014402124,0.0011824995,0.0018991377,0.0013283222,0.00060035556,0.00010555048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018177269,0.0001353426,0.46322283,0.0002536897,0.00005491058,0.0047761607,0.017913198,0.0041365554,0.0034856552,0.34840378,0.0082383705,0.14919767],"study_design_scores_gemma":[0.000034277768,0.00019255033,0.8570764,0.00017274031,0.000032082207,0.00054488954,0.013044162,0.006909415,0.001967262,0.036128268,0.08383805,0.000059908474],"about_ca_topic_score_codex":0.050578315,"about_ca_topic_score_gemma":0.049912658,"teacher_disagreement_score":0.050578315,"about_ca_system_score_codex":0.0038645014,"about_ca_system_score_gemma":0.004793991,"threshold_uncertainty_score":0.10056788},"labels":[],"label_agreement":null},{"id":"W2035818931","doi":"10.5430/rwe.v2n1p48","title":"The Influential Factors on Internationalization of the SMEs in China: on Wenzhou’s Shoe Industry and Policy Implications","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"International Business and FDI","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":"Wenzhou University","keywords":"Internationalization; China; Business; Government (linguistics); Industrial organization; Process (computing); Financial crisis; Manufacturing; Economic geography; Marketing; International trade; Economics; Political science","score_opus":0.08571828253431178,"score_gpt":0.3412098943150075,"score_spread":0.2554916117806957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035818931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98744035,0.0006022476,0.00023136642,0.004191931,0.000012169577,0.000013368368,0.00007985812,0.000005002268,0.0074237944],"genre_scores_gemma":[0.9991732,0.00038901475,0.000031131563,0.000062188155,0.00000533836,0.0000029545738,0.000026022068,5.863631e-7,0.00030943743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964154,0.00010002345,0.000022997581,0.000032847238,0.000049351514,0.00015328308],"domain_scores_gemma":[0.99796474,0.0007277458,0.0005753192,0.000050769126,0.00028592613,0.0003955271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007693762,0.00021353461,0.00021391161,0.0013739818,0.001042451,0.00153428,0.00018772922,0.00030109595,0.0022456378],"category_scores_gemma":[0.0017955175,0.00008038012,0.00025086058,0.002079629,0.00073547964,0.0008010665,0.00067198445,0.0004527248,0.000062520376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010276864,0.000118647506,0.9271359,0.00016111672,0.00006843262,0.001294089,0.0050225584,0.0029380498,0.001262373,0.03625632,0.002097323,0.02354247],"study_design_scores_gemma":[0.000009487179,0.000044281114,0.9676389,0.00011567939,0.000058236412,0.00009250001,0.016738322,0.0039059655,0.00090787193,0.0036972896,0.0067679784,0.000023326254],"about_ca_topic_score_codex":0.05241996,"about_ca_topic_score_gemma":0.08367317,"teacher_disagreement_score":0.05241996,"about_ca_system_score_codex":0.0031494473,"about_ca_system_score_gemma":0.003483181,"threshold_uncertainty_score":0.10422969},"labels":[],"label_agreement":null},{"id":"W2041439812","doi":"10.5430/rwe.v5n2p135","title":"Relative Cohort Size and Fertility in Latin America and the Caribbean: A Panel Data Approach","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Insurance, Mortality, Demography, Risk Management","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":"Fertility; Total fertility rate; Cohort; Demography; Economics; Cohort effect; Population; Panel data; Birth rate; Cohort study; Latin Americans; Demographic economics; Medicine; Econometrics; Family planning","score_opus":0.12271967776057349,"score_gpt":0.3732904558297433,"score_spread":0.25057077806916983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041439812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865739,0.0014754266,0.0062264064,0.0010025147,0.000031964755,0.00007813973,0.002949798,0.000031122472,0.0016307523],"genre_scores_gemma":[0.99345934,0.0008396177,0.002098778,0.00013524103,0.00002462382,0.00012785499,0.0021518406,0.0000068942895,0.0011557165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824995,0.0012981376,0.00004918224,0.00015719837,0.00007971898,0.00016584877],"domain_scores_gemma":[0.99458236,0.0035543048,0.0009687629,0.00044974947,0.0002015467,0.00024322838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043726545,0.00026234135,0.0005947273,0.0011417717,0.00072256156,0.0010469835,0.00093597604,0.0008382861,0.0028040905],"category_scores_gemma":[0.006851476,0.00031414852,0.0011515202,0.0020991187,0.0004074391,0.00055958,0.0011214232,0.0010839135,0.00018472256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019869015,0.00014231617,0.96752363,0.000076516524,0.0013499713,0.00039192772,0.0008851491,0.01238515,0.00031528488,0.004530892,0.001423743,0.010776714],"study_design_scores_gemma":[0.000087283894,0.00035620114,0.8786461,0.00022505542,0.0013792142,0.00026927082,0.0036731388,0.09622824,0.00034172373,0.0058515426,0.012863716,0.00007863672],"about_ca_topic_score_codex":0.12004189,"about_ca_topic_score_gemma":0.094306566,"teacher_disagreement_score":0.12004189,"about_ca_system_score_codex":0.0008759905,"about_ca_system_score_gemma":0.0007966574,"threshold_uncertainty_score":0.23868638},"labels":[],"label_agreement":null},{"id":"W2058520045","doi":"10.5430/rwe.v6n1p85","title":"Management Styles and Organisational Effectiveness in Vietnam: A Comparison in Terms of Management Practices between State-owned and Foreign Enterprises","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Human capital; Vietnamese; Sample (material); Exploratory factor analysis; Order (exchange); Human resources; Human resource management; Performance appraisal; Quality (philosophy); Marketing; Knowledge management; Industrial organization; Economics; Finance; Management; Computer science; Economic growth","score_opus":0.15496773962800306,"score_gpt":0.36421092036830083,"score_spread":0.20924318074029777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058520045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993636,0.000031969794,0.000012822286,0.000030919295,0.0000014203857,0.0000013354468,0.000008984206,2.8232833e-7,0.0005487825],"genre_scores_gemma":[0.99967337,0.00003938345,0.000015110032,0.000011127241,0.0000011936313,0.0000014578417,0.000015046158,4.3734292e-7,0.00024285469],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99963737,0.000110630855,0.000029457211,0.000033179316,0.00008163766,0.000107707165],"domain_scores_gemma":[0.99829096,0.0003555885,0.00051207305,0.000052142015,0.0002202006,0.000569106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006644191,0.00010199069,0.00012005586,0.00043808547,0.0005298662,0.0009996431,0.00014272075,0.00012918955,0.0014121312],"category_scores_gemma":[0.0017610138,0.00008530305,0.00012321738,0.00061977305,0.0004324325,0.000418962,0.0004575324,0.00020285521,0.00010389165],"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":[0.000062387284,0.0001677568,0.9663747,0.000031680866,0.000025937781,0.00022089375,0.019081917,0.000073654875,0.0005079885,0.00036160072,0.00019406457,0.012897491],"study_design_scores_gemma":[0.0000027438423,0.00011314832,0.9732291,0.000017115928,0.0000043454297,0.00006536929,0.025623469,0.00012694811,0.00007081884,0.00004837639,0.0006949754,0.0000035603375],"about_ca_topic_score_codex":0.011485053,"about_ca_topic_score_gemma":0.020176576,"teacher_disagreement_score":0.011485053,"about_ca_system_score_codex":0.0007314162,"about_ca_system_score_gemma":0.0008142828,"threshold_uncertainty_score":0.022836387},"labels":[],"label_agreement":null},{"id":"W2065574649","doi":"10.5430/rwe.v1n1p66","title":"Category Identification and Affecting Mechanism Exploration on the Business Philosophy Restricting China’s SMEs’ Performances--A Field Study Based in Wuhan","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Corporate Identity and Reputation","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":"Mechanism (biology); Identification (biology); China; Field (mathematics); Business; Industrial organization; Environmental economics; Economic system; Economics; Political science; Epistemology; Philosophy; Mathematics","score_opus":0.08479627212636064,"score_gpt":0.30920772860655166,"score_spread":0.224411456480191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065574649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993876,0.000009131025,0.0000698234,0.000018976609,4.7304835e-7,0.000013192965,0.0000037293146,4.1532888e-7,0.0004966716],"genre_scores_gemma":[0.9996387,0.000012251734,0.00010575609,0.0000068700833,5.1027564e-7,0.0000131540855,0.000009354475,2.6054133e-7,0.00021313074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854624,0.00059641525,0.00009052948,0.00016640442,0.00034511084,0.00025531274],"domain_scores_gemma":[0.9973974,0.0012043368,0.0003963114,0.0001509614,0.0005935712,0.00025746223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038665636,0.0001646784,0.00032850815,0.0022680117,0.0019942636,0.0011977217,0.0005119838,0.00037066848,0.0014667091],"category_scores_gemma":[0.003682905,0.00017574894,0.00034272773,0.0013469676,0.0018626704,0.0008834654,0.0012432205,0.0005417296,0.00006945392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028537196,0.00071045064,0.77070546,0.00019168342,0.000044480792,0.00093970896,0.15637033,0.00041145913,0.009006751,0.0076838294,0.00043865456,0.05321182],"study_design_scores_gemma":[0.000008800035,0.00032360913,0.8473456,0.000042056992,0.000020088328,0.0001285325,0.14684829,0.0014970121,0.001487195,0.0010293936,0.0012464612,0.000023015285],"about_ca_topic_score_codex":0.015323533,"about_ca_topic_score_gemma":0.026114283,"teacher_disagreement_score":0.015323533,"about_ca_system_score_codex":0.0032228397,"about_ca_system_score_gemma":0.003670662,"threshold_uncertainty_score":0.030468643},"labels":[],"label_agreement":null},{"id":"W2066493870","doi":"10.5430/rwe.v3n2p68","title":"Trade Unions and Unionism in Nigeria: A Historical Perspective","year":2012,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Business Strategies and Management Research","field":"Decision 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":"Colonialism; Trade union; Perspective (graphical); Economics; Free trade; Economic integration; International free trade agreement; Political science; Political economy; International trade; Law","score_opus":0.29995341041456036,"score_gpt":0.46706011887640925,"score_spread":0.16710670846184889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066493870","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":[0.22460777,0.5298827,0.001956802,0.031489465,0.0023133191,0.00003676478,0.00016303737,0.000011447631,0.20953871],"genre_scores_gemma":[0.756966,0.23043929,0.00062226836,0.001315353,0.0006642364,0.000020860938,0.00005016721,0.000008542293,0.009913294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913234,0.00049594766,0.000057702207,0.000090277674,0.000082782324,0.00014105806],"domain_scores_gemma":[0.99840826,0.0010586857,0.00025249476,0.000028630413,0.00015300757,0.000098950906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014743747,0.00028314302,0.00022987703,0.0024191663,0.0060267174,0.006139608,0.00029000486,0.002114863,0.0026391312],"category_scores_gemma":[0.0018207653,0.00030419423,0.000101304344,0.0042459355,0.006138028,0.0056759086,0.0016676696,0.002485502,0.00020014262],"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":[0.0001225738,0.00017709403,0.01896591,0.0017874148,0.000017310014,0.0034018108,0.09433304,0.0010229676,0.0007957858,0.7681117,0.0066713816,0.10459306],"study_design_scores_gemma":[0.0000071250756,0.00012114564,0.029760124,0.006863604,0.000021879614,0.0023387314,0.11062768,0.0005398207,0.00081126695,0.037022192,0.81183404,0.000052352287],"about_ca_topic_score_codex":0.010471567,"about_ca_topic_score_gemma":0.028694538,"teacher_disagreement_score":0.010471567,"about_ca_system_score_codex":0.005450334,"about_ca_system_score_gemma":0.0023605397,"threshold_uncertainty_score":0.03954518},"labels":[],"label_agreement":null},{"id":"W2081345236","doi":"10.5430/rwe.v1n1p56","title":"A Note on the Drivers of R&amp;D Intensity","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","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":"Economics; R&D intensity; Panel data; Econometric model; Econometric analysis; Aggregate (composite); Economic geography; Agricultural economics; Econometrics; Management","score_opus":0.1313458150756829,"score_gpt":0.31592923302238685,"score_spread":0.18458341794670394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081345236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223648,0.004962245,0.007334198,0.0073042638,0.00011880726,0.0000995088,0.007395783,0.00025648056,0.050163906],"genre_scores_gemma":[0.99128133,0.0009867073,0.0015001869,0.0002890751,0.00007513487,0.000021472088,0.0028612227,0.00005226834,0.0029326174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99675363,0.0007723207,0.00035097988,0.00058307225,0.00093709887,0.00060277537],"domain_scores_gemma":[0.9742396,0.011546547,0.008081,0.0018514342,0.0029944861,0.0012869217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037106269,0.00030744923,0.00064940104,0.0031984127,0.0006932681,0.0038897956,0.0005817417,0.0003932984,0.006852651],"category_scores_gemma":[0.016052622,0.0003363736,0.0009069813,0.0056624315,0.00067722745,0.0016088869,0.0016057449,0.0013430415,0.0017179782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010247123,0.00004317754,0.95915985,0.000114228606,0.00024475277,0.00015964155,0.0002990189,0.0016415173,0.00090671267,0.0067935353,0.0030206265,0.027514387],"study_design_scores_gemma":[0.0000093210965,0.0000635622,0.98189235,0.00005074091,0.000074941236,0.00013599098,0.00077458133,0.0010310116,0.0009841163,0.0024424102,0.012512203,0.000028812787],"about_ca_topic_score_codex":0.00820653,"about_ca_topic_score_gemma":0.009496548,"teacher_disagreement_score":0.00820653,"about_ca_system_score_codex":0.00097689,"about_ca_system_score_gemma":0.0013560911,"threshold_uncertainty_score":0.022924423},"labels":[],"label_agreement":null},{"id":"W2081646780","doi":"10.5430/rwe.v5n1p39","title":"The Use of Financial Derivatives in Emerging Market Economies: An Empirical Evidence from Bosnia and Herzegovina's Non-Financial Firms","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Risk Management in Financial Firms","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":"Derivatives market; Currency; Finance; Financial market; Business; Derivative (finance); Order (exchange); Market data; Indirect finance; Financial instrument; Interest rate derivative; Sample (material); Emerging markets; Money market; Financial system; Economics; Interest rate; Monetary economics","score_opus":0.12428605844815775,"score_gpt":0.3367386269078495,"score_spread":0.21245256845969174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081646780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932863,0.0029081705,0.000051556468,0.00034567408,0.000008169828,0.000011176621,0.0002017884,0.0000011539189,0.0031858657],"genre_scores_gemma":[0.9978836,0.0016030406,0.000044684235,0.000051157298,0.000018276602,0.000003401763,0.0001853096,9.2806147e-7,0.00020961773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994066,0.00011800685,0.00007290715,0.000083287836,0.0001678145,0.00015136146],"domain_scores_gemma":[0.99524575,0.00095253077,0.0028419748,0.00012733063,0.00042216468,0.0004102901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010994031,0.00022624919,0.0002465234,0.002589523,0.00072310644,0.0019923067,0.0003445612,0.00040577314,0.0024598108],"category_scores_gemma":[0.0028597903,0.00014601731,0.000248227,0.0027272995,0.00072218466,0.0015405539,0.000888993,0.000591705,0.00018501357],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007629314,0.00018173209,0.97354466,0.00013946099,0.00004590706,0.00075852586,0.0030669044,0.00008579423,0.00027939997,0.0016530112,0.00070032454,0.019468123],"study_design_scores_gemma":[0.000004076292,0.00003317472,0.9933431,0.000074898984,0.000017369379,0.00021519796,0.0042719482,0.00007645246,0.00008836162,0.00010882055,0.0017617367,0.0000047392587],"about_ca_topic_score_codex":0.014740403,"about_ca_topic_score_gemma":0.018416118,"teacher_disagreement_score":0.014740403,"about_ca_system_score_codex":0.0006893004,"about_ca_system_score_gemma":0.00097476755,"threshold_uncertainty_score":0.029309213},"labels":[],"label_agreement":null},{"id":"W2088003794","doi":"10.5430/rwe.v4n1p95","title":"A Macroeconometric Model for the Sudan Economy: Empirical Evidence from Error Correction Framework 1956-2010","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","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":"Disequilibrium; Error correction model; Econometrics; Economics; Sign (mathematics); Error detection and correction; Macroeconomic model; Economy; Cointegration; Macroeconomics; Mathematics; Algorithm","score_opus":0.46068938032922324,"score_gpt":0.39557597456307375,"score_spread":0.06511340576614949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088003794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8207316,0.0031511802,0.14825006,0.0028906297,0.00024017249,0.0001242549,0.0053685214,0.0005221174,0.018721435],"genre_scores_gemma":[0.9833152,0.0013406316,0.009176349,0.00007857627,0.00005835012,0.00006005234,0.0020191174,0.000039460287,0.003912217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994411,0.00022378632,0.000039214025,0.00013623321,0.000087538676,0.00007209042],"domain_scores_gemma":[0.99852496,0.0006470215,0.00042116508,0.00010264417,0.00026704176,0.000037240585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012674031,0.00044123948,0.00054350175,0.0015075024,0.0006033234,0.0021690011,0.00067452504,0.00052766624,0.0026885006],"category_scores_gemma":[0.0038587896,0.00022621857,0.0006324946,0.0023881623,0.00047100306,0.0013814771,0.0005958059,0.0007179196,0.0005088569],"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":[0.0001685582,0.00011721774,0.10325809,0.00022312612,0.00027813483,0.0006598433,0.0006868971,0.5233396,0.0005547855,0.29637557,0.0065054554,0.06783267],"study_design_scores_gemma":[0.000042151278,0.000058168313,0.04803509,0.00011482922,0.00013811239,0.00022674972,0.0003835497,0.8263445,0.0006930209,0.104551144,0.019355694,0.000056955934],"about_ca_topic_score_codex":0.038596764,"about_ca_topic_score_gemma":0.019910682,"teacher_disagreement_score":0.038596764,"about_ca_system_score_codex":0.0018179994,"about_ca_system_score_gemma":0.0017748373,"threshold_uncertainty_score":0.0767442},"labels":[],"label_agreement":null},{"id":"W2089716325","doi":"10.5430/rwe.v5n1p1","title":"The Impact of Free Agency on Players’ Compensation","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Sports Analytics and Performance","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":"Agency (philosophy); Bargaining power; Microeconomics; Compensation (psychology); Power (physics); Free riding; Economics; Business; Free rider problem; Public good; Social psychology; Psychology; Incentive; Sociology","score_opus":0.12040367626156392,"score_gpt":0.3464245795932506,"score_spread":0.2260209033316867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089716325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9085866,0.00091677735,0.013745616,0.0012498737,0.00012016147,0.000090508736,0.00018218068,0.000063270476,0.07504488],"genre_scores_gemma":[0.99610436,0.00006624754,0.00035490133,0.00006344909,0.000018985997,0.00001268337,0.00003380384,0.0000062763106,0.0033392848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99515605,0.0018076107,0.00024368012,0.00042099695,0.0008379693,0.0015337219],"domain_scores_gemma":[0.97787946,0.010055221,0.004435065,0.0018770124,0.0016256527,0.004127532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044565997,0.00046531463,0.0005808256,0.0009054133,0.0012577352,0.003475767,0.0007614775,0.0015179218,0.01821223],"category_scores_gemma":[0.02530927,0.00023073408,0.000705126,0.0005928294,0.0015667485,0.002623903,0.0020794838,0.0018490877,0.0013152437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055120667,0.00393122,0.43626732,0.00045598554,0.001056518,0.0016015875,0.003992284,0.028583193,0.010233943,0.24720845,0.0072284685,0.253929],"study_design_scores_gemma":[0.00068363815,0.0045292373,0.689796,0.00028624389,0.00065172516,0.0010996457,0.009645809,0.03269013,0.004335261,0.22538808,0.030628365,0.00026590234],"about_ca_topic_score_codex":0.0019187332,"about_ca_topic_score_gemma":0.0029778755,"teacher_disagreement_score":0.01821223,"about_ca_system_score_codex":0.0009340579,"about_ca_system_score_gemma":0.0011889169,"threshold_uncertainty_score":0.06092596},"labels":[],"label_agreement":null},{"id":"W2102457434","doi":"10.5430/rwe.v5n2p74","title":"The Economic Value of Environmental Capital Inputs Used to Produce the Gross Domestic Product in Ghana, 1993 to 2012","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Sustainable Development and Environmental Policy","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":"University of Ghana","keywords":"Gross domestic product; Goods and services; Economics; Per capita; Agricultural economics; Real gross domestic product; Gross fixed capital formation; Business; Economy; Monetary economics; Economic growth; Population","score_opus":0.021118687152254893,"score_gpt":0.2901776884557751,"score_spread":0.2690590013035202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102457434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99013054,0.00092434406,0.00025296115,0.000281814,0.000009915982,0.000012298321,0.004788688,0.0000108287995,0.0035885924],"genre_scores_gemma":[0.99561876,0.000700049,0.00022486907,0.00002549944,0.000009827546,0.000011170967,0.0022205967,0.0000037244283,0.0011854215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978536,0.000045973033,0.000022536813,0.000037232265,0.000047634916,0.00006127473],"domain_scores_gemma":[0.99863064,0.00023622764,0.00078341516,0.000030475045,0.00020752793,0.000111767724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477694,0.00027726596,0.00017254491,0.0012028281,0.0002060021,0.00067420275,0.00021780947,0.0001942928,0.0017149323],"category_scores_gemma":[0.0027807953,0.00014033043,0.00017779887,0.0039476915,0.00040474514,0.0007403557,0.00033504717,0.0003841183,0.00044334648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017459417,0.000048634294,0.9651226,0.00015958285,0.00008979002,0.00096826465,0.0017917256,0.0039846967,0.0006672141,0.0014953576,0.0031269444,0.022370582],"study_design_scores_gemma":[0.000004411745,0.000027500218,0.99009633,0.000058875572,0.000025132296,0.00022008999,0.0016655008,0.0013922884,0.00035268624,0.00016520095,0.0059835417,0.000008480989],"about_ca_topic_score_codex":0.06167952,"about_ca_topic_score_gemma":0.06450892,"teacher_disagreement_score":0.06167952,"about_ca_system_score_codex":0.0022026552,"about_ca_system_score_gemma":0.0005434238,"threshold_uncertainty_score":0.12264097},"labels":[],"label_agreement":null},{"id":"W2104728065","doi":"10.5430/rwe.v5n1p29","title":"The Chicago Tradition and Commercial Bank Seigniorage","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","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":"Seigniorage; Economics; Social planner; Welfare; Planner; Monetary policy; Central bank; Government (linguistics); Monetary economics; Social Welfare; Microeconomics; Market economy","score_opus":0.09671655320805359,"score_gpt":0.29624449924236784,"score_spread":0.19952794603431426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104728065","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":[0.14466408,0.008145391,0.2122647,0.018092696,0.0012611551,0.00008628032,0.00029928348,0.00033317477,0.6148532],"genre_scores_gemma":[0.942861,0.0019920687,0.013148869,0.0015083147,0.00058688596,0.00007068169,0.00006780558,0.00007545225,0.039688922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987835,0.00033088773,0.000075528136,0.0003441753,0.00031300017,0.0001529695],"domain_scores_gemma":[0.9974733,0.0010916546,0.00046295836,0.00032183138,0.0004151986,0.00023509853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015347888,0.00027635015,0.00048932835,0.000987982,0.0016754128,0.0035025466,0.00088553823,0.0015769243,0.0065741516],"category_scores_gemma":[0.0047778427,0.00023339763,0.0004143829,0.0010565016,0.0067818305,0.0022231776,0.0011340723,0.0026520756,0.0010237917],"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":[0.000015523687,0.00000626296,0.000623728,0.000012229337,0.0000040444156,0.00006215606,0.00010947206,0.0012578695,0.000064376174,0.99016047,0.0019468928,0.005736834],"study_design_scores_gemma":[0.000024313878,0.000018609271,0.0006344475,0.00005386661,0.000007844466,0.00011479834,0.00008743522,0.0071619865,0.00030700568,0.9646436,0.026926484,0.000019770096],"about_ca_topic_score_codex":0.005264217,"about_ca_topic_score_gemma":0.004789927,"teacher_disagreement_score":0.0065741516,"about_ca_system_score_codex":0.0016797003,"about_ca_system_score_gemma":0.0018461867,"threshold_uncertainty_score":0.021992743},"labels":[],"label_agreement":null},{"id":"W2105742894","doi":"10.5430/rwe.v5n2p56","title":"The Strategic Choice of the Firm with Customization Capability","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Business Strategy and Innovation","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":"Mass customization; Personalization; Profit (economics); Industrial organization; Competition (biology); Business; Market competition; Marketing; Product (mathematics); Build to order; Microeconomics; Economics; Production (economics)","score_opus":0.07552105917334323,"score_gpt":0.3012088233990166,"score_spread":0.22568776422567338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105742894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93848914,0.00017860008,0.008207506,0.0031012609,0.000030198518,0.00009065956,0.00008300433,0.000019920886,0.04979975],"genre_scores_gemma":[0.99468154,0.00005603744,0.0006379574,0.0001136277,0.0000062996446,0.000007854149,0.000017247854,0.0000014688678,0.0044780453],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988036,0.00037105836,0.000039697763,0.00017643947,0.00016070559,0.0004485223],"domain_scores_gemma":[0.99793005,0.0007568385,0.00036403036,0.00013194953,0.00017579812,0.0006413164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008932095,0.00028241723,0.00032494505,0.00057881675,0.00087945827,0.002563687,0.0005422002,0.0019706301,0.010522874],"category_scores_gemma":[0.00312741,0.00024983136,0.00052431616,0.0004642586,0.00094136706,0.0013715547,0.00081321545,0.0009799962,0.0006819301],"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":[0.001845027,0.002064706,0.22885834,0.00050604413,0.0004304812,0.009942825,0.0025537428,0.055981442,0.055323794,0.5450802,0.0073154476,0.09009797],"study_design_scores_gemma":[0.0009899297,0.0029964398,0.2547248,0.0002624057,0.0006689881,0.0073740715,0.027901333,0.36497748,0.027914187,0.26893812,0.042585183,0.0006670533],"about_ca_topic_score_codex":0.005432165,"about_ca_topic_score_gemma":0.007904221,"teacher_disagreement_score":0.010522874,"about_ca_system_score_codex":0.001559812,"about_ca_system_score_gemma":0.0018215481,"threshold_uncertainty_score":0.035202503},"labels":[],"label_agreement":null},{"id":"W2108164439","doi":"10.5430/rwe.v4n1p22","title":"Antidumping Petition, Foreign Direct Investment, and Strategic Exports","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Foreign direct investment; Dumping; Duty; Business; Order (exchange); International economics; International trade; Economics; Finance; Law; Macroeconomics","score_opus":0.21494689263360314,"score_gpt":0.2958253940338229,"score_spread":0.08087850140021977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108164439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97136456,0.0008603969,0.0019744039,0.0015148597,0.000024157413,0.000019913652,0.00016786392,0.000014019397,0.024059769],"genre_scores_gemma":[0.99591535,0.00029276402,0.00012789389,0.000064212996,0.00001901662,0.000008744655,0.00006865869,0.0000026075847,0.0035008106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995369,0.000118142736,0.000030815638,0.000060844366,0.000042906388,0.00021042909],"domain_scores_gemma":[0.987313,0.00541497,0.005660425,0.0003013658,0.00028894603,0.0010213479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012443413,0.00040224378,0.00049749744,0.0006418442,0.0006173027,0.0024703108,0.00054608646,0.0020756559,0.011764879],"category_scores_gemma":[0.006139911,0.00023323079,0.0004398972,0.000696232,0.0017190696,0.0018388183,0.0013057546,0.0018686792,0.000593183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010037,0.001145952,0.69251084,0.0002531901,0.0002762777,0.001870141,0.0009701784,0.09274384,0.0024020611,0.17855263,0.002995432,0.025275748],"study_design_scores_gemma":[0.00019462903,0.0011221927,0.6586895,0.00031737442,0.00038081774,0.0013177908,0.003906763,0.13656297,0.002413333,0.18442093,0.010514705,0.0001589807],"about_ca_topic_score_codex":0.005999221,"about_ca_topic_score_gemma":0.00812422,"teacher_disagreement_score":0.011764879,"about_ca_system_score_codex":0.0017206863,"about_ca_system_score_gemma":0.0007571353,"threshold_uncertainty_score":0.039357483},"labels":[],"label_agreement":null},{"id":"W2109669259","doi":"10.5430/rwe.v4n1p109","title":"A Study of the Relationship between Electricity Consumption and GDP Growth in Hainan International Tourism Island of China","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy Load and Power Forecasting","field":"Engineering","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":"Granger causality; Error correction model; Tourism; China; Economics; Consumption (sociology); Real gross domestic product; Electricity; Economy; Econometrics; Agricultural economics; Cointegration; Geography; Engineering","score_opus":0.06570387186269824,"score_gpt":0.3080897056826863,"score_spread":0.24238583381998804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109669259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99922025,0.000049822138,0.00013457841,0.00005908158,0.0000022668921,0.0000021882347,0.00012592548,0.0000024427916,0.00040350624],"genre_scores_gemma":[0.99925774,0.000060834165,0.00007460662,0.0000065012605,0.0000035641467,0.0000028882862,0.00029755803,9.907071e-7,0.00029528097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987876,0.000028660172,0.000010795249,0.000030114421,0.000019591416,0.000032031207],"domain_scores_gemma":[0.9994222,0.00022141323,0.00012205441,0.00002957378,0.0001105268,0.00009424207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033903195,0.00024593557,0.0001905399,0.00083896134,0.00033328225,0.00041315754,0.00026484038,0.0002144166,0.0007502211],"category_scores_gemma":[0.0008492647,0.00013353888,0.00036827527,0.001482433,0.00025017626,0.00036210872,0.00028512106,0.00035759908,0.000073371106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025955316,0.000041974276,0.99277025,0.000017383483,0.00008542573,0.00035910806,0.0003835113,0.0023471564,0.00029569186,0.00036412454,0.00023895921,0.0030704031],"study_design_scores_gemma":[0.0000016080144,0.00001504341,0.9910802,0.000004160138,0.000024892342,0.00004420193,0.0005831941,0.007836795,0.00008633462,0.0000766043,0.00024199775,0.0000049723044],"about_ca_topic_score_codex":0.092030086,"about_ca_topic_score_gemma":0.09292784,"teacher_disagreement_score":0.092030086,"about_ca_system_score_codex":0.00095860596,"about_ca_system_score_gemma":0.00091443065,"threshold_uncertainty_score":0.18298882},"labels":[],"label_agreement":null},{"id":"W2116735289","doi":"10.5430/rwe.v6n1p133","title":"The Trend of Average Unit Price in Taipei City","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market 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":"Real estate; Statistic; Volatility (finance); Purchasing; Economics; Key (lock); Unit (ring theory); Econometrics; Business; Finance; Computer science; Statistics; Operations management; Mathematics","score_opus":0.21375221016185647,"score_gpt":0.3358184548020518,"score_spread":0.12206624464019533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116735289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985965,0.00004016037,0.00013698681,0.0000876357,0.000008742929,0.0000017840431,0.00046711141,0.000015576505,0.0006455636],"genre_scores_gemma":[0.99871945,0.000033509164,0.00008196146,0.0000088574525,0.000008090501,0.0000023688779,0.0007145156,0.0000027036979,0.00042862722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986005,0.000013272361,0.000014490792,0.000042238327,0.000035880996,0.000034048706],"domain_scores_gemma":[0.99963105,0.000051017792,0.000101755184,0.00002425996,0.00013811584,0.000053773205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014847645,0.0001264887,0.00016560839,0.00084839313,0.00026213934,0.00064931443,0.00029993558,0.00041813072,0.001154577],"category_scores_gemma":[0.0004893251,0.00010315307,0.00025158227,0.0014669214,0.00018243218,0.00040402252,0.00031125286,0.00029095227,0.00017353221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009807461,0.00005412146,0.9744495,0.000045072582,0.00007598411,0.0012784499,0.00071543525,0.0052512684,0.0031785737,0.00091151166,0.0035664157,0.010375571],"study_design_scores_gemma":[0.0000036803426,0.00003973629,0.9841781,0.0000049655373,0.000019095232,0.00013629715,0.0007899322,0.01285572,0.00036484003,0.00010935367,0.0014836678,0.000014574748],"about_ca_topic_score_codex":0.035266634,"about_ca_topic_score_gemma":0.035911232,"teacher_disagreement_score":0.035266634,"about_ca_system_score_codex":0.0007522975,"about_ca_system_score_gemma":0.0004068918,"threshold_uncertainty_score":0.07012272},"labels":[],"label_agreement":null},{"id":"W2127248969","doi":"10.5430/rwe.v5n2p176","title":"Marketing Factors of Green Economic Effect on Consumers’ Purchase Intention for the Market of Family-sedan in Taiwan","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","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":"Green marketing; Business; Marketing; Marketing strategy; Marketing mix; Product (mathematics); Purchasing; Consumption (sociology); Green consumption; Return on marketing investment; Economics; Production (economics)","score_opus":0.03867457777460016,"score_gpt":0.29992520027368547,"score_spread":0.2612506224990853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127248969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994294,0.000018635052,0.000014693648,0.00006220024,0.0000014234139,0.0000034257703,0.000012562439,7.115023e-7,0.00045695825],"genre_scores_gemma":[0.99943596,0.000026763013,0.000022981169,0.000017785418,0.0000027227265,0.000005380403,0.000038143913,8.6976274e-7,0.0004494479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969363,0.00006726285,0.000026709575,0.000046869613,0.00006721367,0.00009838277],"domain_scores_gemma":[0.99756587,0.0012582656,0.00044969918,0.0000810317,0.00026439276,0.00038073826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007398465,0.000205743,0.00018758124,0.0006490196,0.0006076472,0.0009922368,0.00022692954,0.00052242295,0.0052157003],"category_scores_gemma":[0.0024527141,0.0001824033,0.00086523336,0.00057552976,0.00044113118,0.0006338562,0.0003875694,0.00085767225,0.00032413722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014712736,0.00056980806,0.9895957,0.000024632485,0.000045174227,0.00046584508,0.0042991154,0.00022431846,0.0004887243,0.00026577374,0.0002681184,0.0036056193],"study_design_scores_gemma":[0.000008114007,0.00016483443,0.99053454,0.00001412926,0.000031877546,0.00005690716,0.0071670734,0.0014917463,0.00011741681,0.00010187213,0.00030176435,0.000009699126],"about_ca_topic_score_codex":0.026771229,"about_ca_topic_score_gemma":0.024649248,"teacher_disagreement_score":0.026771229,"about_ca_system_score_codex":0.0009151402,"about_ca_system_score_gemma":0.00084044563,"threshold_uncertainty_score":0.053230762},"labels":[],"label_agreement":null},{"id":"W2128897012","doi":"10.5430/rwe.v1n1p43","title":"Brief Analysis of the Issue of Cross Border Merger and Acquisition in BRICs","year":2010,"lang":"en","type":"article","venue":"Research in World Economy","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; Regional science; International trade; Political science; Business; Economics; Geography; Law","score_opus":0.02882503474557746,"score_gpt":0.3690845618548476,"score_spread":0.34025952710927015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128897012","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":[0.19294533,0.21356763,0.0074815676,0.13921939,0.006119205,0.00018170972,0.0011786165,0.00007040156,0.43923613],"genre_scores_gemma":[0.73649585,0.13473852,0.0019177017,0.014752795,0.0073344214,0.00006156687,0.000607152,0.000025492256,0.104066476],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9993467,0.00018049602,0.00004401473,0.000056123943,0.00019779288,0.00017501297],"domain_scores_gemma":[0.9992053,0.00037508,0.0001731656,0.000017801369,0.00018000329,0.000048735277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006503878,0.00017705669,0.00019355484,0.0022361022,0.0018119455,0.0030696574,0.0002865247,0.0021738366,0.007089007],"category_scores_gemma":[0.0018415388,0.00019182212,0.00034040614,0.0026111433,0.0009439596,0.0023114986,0.00052414025,0.0014541453,0.00048691308],"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":[0.00011036688,0.00009574878,0.00879906,0.00096746936,0.00002098471,0.005327662,0.0030029395,0.0026127936,0.0016476805,0.8269324,0.08071103,0.06977196],"study_design_scores_gemma":[0.000010479667,0.00012045441,0.053184934,0.0012758778,0.00005315329,0.002642036,0.009889534,0.0034929663,0.0011437054,0.056440458,0.8716646,0.00008179975],"about_ca_topic_score_codex":0.014550039,"about_ca_topic_score_gemma":0.021275707,"teacher_disagreement_score":0.014550039,"about_ca_system_score_codex":0.0033416236,"about_ca_system_score_gemma":0.0022855243,"threshold_uncertainty_score":0.028930664},"labels":[],"label_agreement":null},{"id":"W2138881640","doi":"10.5430/rwe.v4n2p61","title":"China-Africa Economic Cooperation: Chinese Companies’ Contributions to African Development - The Cases of Mozambique and Angola","year":2013,"lang":"en","type":"article","venue":"Research in World Economy","topic":"International Development and Aid","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":"China; Natural resource; Foreign direct investment; Business; Economic shortage; Economic growth; Capital (architecture); Institution; Human capital; Economics; Development economics; Economic system; International trade; Political science; Geography; Government (linguistics)","score_opus":0.049395956284235175,"score_gpt":0.3806848076512437,"score_spread":0.33128885136700853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138881640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489115,0.0012429577,0.000056448604,0.0021608525,0.000010479762,0.000020496647,0.00002568312,0.0000018487032,0.047569722],"genre_scores_gemma":[0.9974873,0.000600266,0.000022746759,0.00007109885,0.0000030329213,0.000006238648,0.000007465231,4.9893504e-7,0.0018012291],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9993326,0.00015195696,0.000011844317,0.000019436713,0.00005323666,0.00043088384],"domain_scores_gemma":[0.99948823,0.00017161688,0.000101965416,0.000024806963,0.00006648001,0.00014689057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010668549,0.0002485932,0.00011179116,0.0020577994,0.0045018937,0.0021115185,0.00025299183,0.0005321809,0.0027861637],"category_scores_gemma":[0.00094241434,0.00009451703,0.00016872158,0.0030356566,0.0028279515,0.00088627095,0.0019711975,0.0006097029,0.000050925024],"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":[0.0003282199,0.00015811564,0.37732914,0.00044875543,0.00012528972,0.023869388,0.22330143,0.0018334774,0.0027677212,0.29471424,0.008445522,0.066678636],"study_design_scores_gemma":[0.00005971421,0.0001121854,0.56806356,0.00044669592,0.0001826178,0.00213643,0.28183222,0.0022154965,0.0016761973,0.0055601248,0.13766122,0.00005353058],"about_ca_topic_score_codex":0.15335235,"about_ca_topic_score_gemma":0.2564749,"teacher_disagreement_score":0.15335235,"about_ca_system_score_codex":0.006175389,"about_ca_system_score_gemma":0.0059311176,"threshold_uncertainty_score":0.30491948},"labels":[],"label_agreement":null},{"id":"W2141628274","doi":"10.5430/rwe.v5n2p93","title":"Inflation Targeting and Macroeconomic Stabilization","year":2014,"lang":"en","type":"article","venue":"Research in World Economy","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; Inflation (cosmology); Inflation targeting; Monetary policy; Macroeconomic model; Macroeconomics; Monetary economics; Empirical evidence; Economic and monetary union; Keynesian economics; European union; International economics","score_opus":0.13121215354462337,"score_gpt":0.31134881711959494,"score_spread":0.18013666357497157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141628274","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":[0.13903071,0.17199779,0.021048907,0.12968063,0.0023897984,0.000046742258,0.00050290296,0.00030820264,0.5349943],"genre_scores_gemma":[0.96517175,0.021428606,0.0011862301,0.0028549838,0.0012852421,0.000018791892,0.0001023182,0.000030506204,0.007921579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988984,0.00047202638,0.000060036604,0.00015153835,0.00023129149,0.00018673463],"domain_scores_gemma":[0.99771345,0.0007056979,0.0010478501,0.00009110136,0.00028008525,0.00016188153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015963711,0.00025205596,0.00030256266,0.00079330226,0.00055435224,0.0026692904,0.00021255168,0.001808337,0.004299082],"category_scores_gemma":[0.006667637,0.00009546078,0.00018232384,0.0012486178,0.0012138237,0.0013761327,0.0009520647,0.001394575,0.00088632706],"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":[0.0003161533,0.00009076942,0.0077302526,0.00029802436,0.0000702962,0.00023344811,0.00068194617,0.007206552,0.0009319659,0.79837203,0.021885881,0.16218267],"study_design_scores_gemma":[0.00006318426,0.000117175856,0.02895841,0.0005540176,0.000054439573,0.00026909262,0.000598989,0.0043587084,0.00071194855,0.8427025,0.121569484,0.000042110794],"about_ca_topic_score_codex":0.0014658951,"about_ca_topic_score_gemma":0.0009295138,"teacher_disagreement_score":0.004299082,"about_ca_system_score_codex":0.001220722,"about_ca_system_score_gemma":0.0010019118,"threshold_uncertainty_score":0.014381826},"labels":[],"label_agreement":null},{"id":"W2147534020","doi":"10.5430/rwe.v6n1p99","title":"The Empirical Effects of Islam on Economic Development in Malaysia","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","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":"Distributed lag; Islam; Cointegration; Economics; Pilgrimage; Islamization; Empirical research; Per capita; Empirical evidence; Classical economics; Population; Development economics; Econometrics; Geography; Statistics; Sociology","score_opus":0.1142546308469711,"score_gpt":0.33960427515915287,"score_spread":0.22534964431218177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147534020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198854,0.0011855648,0.00013114078,0.00044923025,0.0000071694285,0.0000061995547,0.0005103915,0.0000034541176,0.0057182983],"genre_scores_gemma":[0.9985879,0.0007903081,0.00006780634,0.000014532407,0.0000055565433,0.0000020480954,0.00012264789,8.293098e-7,0.00040826874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995776,0.00014397498,0.000044995482,0.00005271513,0.00008715493,0.00009363878],"domain_scores_gemma":[0.9957385,0.0016550847,0.0017119762,0.00010518657,0.00046688525,0.00032229294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007643728,0.00015386507,0.00014278023,0.0012015216,0.00024110217,0.0010503463,0.00012682541,0.0001447155,0.0020476826],"category_scores_gemma":[0.0036189868,0.00012409536,0.00022452723,0.0017792926,0.0005171596,0.0008076883,0.0007827134,0.00055311096,0.00025519833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045110937,0.000035933037,0.9827611,0.00007142023,0.00005139533,0.0002302428,0.0004538599,0.0006961654,0.00009449722,0.0016605741,0.00036825673,0.013531482],"study_design_scores_gemma":[0.0000015056496,0.000022479291,0.99609107,0.00007166989,0.000021325386,0.000066745604,0.0011808538,0.0008898197,0.0001557265,0.00026890682,0.00122491,0.0000048881357],"about_ca_topic_score_codex":0.015900169,"about_ca_topic_score_gemma":0.019534545,"teacher_disagreement_score":0.015900169,"about_ca_system_score_codex":0.00089590496,"about_ca_system_score_gemma":0.001099164,"threshold_uncertainty_score":0.031615257},"labels":[],"label_agreement":null},{"id":"W2155944937","doi":"10.5430/rwe.v6n1p20","title":"Exchange Rate Movements, Foreign Direct Investment, and Domestic R&amp;D","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"National Science Council","keywords":"Productivity; Foreign direct investment; Competition (biology); Exchange rate; Currency; Economics; Wage; Monetary economics; Investment (military); International economics; Labour economics; Macroeconomics","score_opus":0.3258455088674527,"score_gpt":0.34118696619828204,"score_spread":0.015341457330829311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155944937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70334214,0.0031778573,0.13217889,0.007142852,0.00013338534,0.00020867954,0.0012285938,0.00019806619,0.15238951],"genre_scores_gemma":[0.97794956,0.0011149574,0.0021359003,0.00017072144,0.000034024048,0.000048282487,0.00015444297,0.000013237693,0.018378772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99955875,0.00017556205,0.000016557686,0.000080323836,0.00004755799,0.000121252866],"domain_scores_gemma":[0.9980076,0.0010322463,0.0006809247,0.000063000654,0.000053190015,0.00016314202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009876,0.0007171069,0.0008936572,0.00078449363,0.0005195539,0.0033547748,0.0010306888,0.0024026062,0.010583398],"category_scores_gemma":[0.0031279693,0.00048170344,0.0007927801,0.0008757818,0.0011448446,0.0032136296,0.0010871709,0.0015607665,0.00080198044],"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":[0.00042441848,0.00021616678,0.01645301,0.00012918956,0.00010421678,0.0011257373,0.0002665334,0.35197574,0.0016689833,0.6084225,0.0028310344,0.01638242],"study_design_scores_gemma":[0.000363928,0.0003760028,0.016587593,0.00011431716,0.00015732888,0.0007007621,0.0007163298,0.6782273,0.0011872008,0.2877025,0.013748135,0.00011868855],"about_ca_topic_score_codex":0.006720516,"about_ca_topic_score_gemma":0.0044821613,"teacher_disagreement_score":0.010583398,"about_ca_system_score_codex":0.0020742016,"about_ca_system_score_gemma":0.0009427897,"threshold_uncertainty_score":0.03540498},"labels":[],"label_agreement":null},{"id":"W2179056838","doi":"10.5430/rwe.v6n4p29","title":"Six-Sigma and Taguchi Approaches to the Printed Circuit Board Quality Improvement","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Quality and Supply 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":"Taguchi methods; DMAIC; Six Sigma; Printed circuit board; Orthogonal array; Manufacturing engineering; Lean Six Sigma; Warranty; Quality (philosophy); Process (computing); Reliability engineering; Statistic; Design of experiments; Computer science; Engineering; Lean manufacturing; Mathematics; Statistics","score_opus":0.39935490171330285,"score_gpt":0.3539549547285126,"score_spread":0.04539994698479022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179056838","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":[0.0032887168,0.010891125,0.97697735,0.0007718475,0.00033275102,0.0003198909,0.000060899427,0.00020551677,0.0071518803],"genre_scores_gemma":[0.12502027,0.016409097,0.8481313,0.00080635445,0.00031267622,0.0008902954,0.00013470357,0.00006613661,0.008229099],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9926214,0.0029728867,0.0005543043,0.0006238419,0.0030011793,0.00022635808],"domain_scores_gemma":[0.9972301,0.0013306172,0.00049557857,0.00015734448,0.0007159174,0.0000703782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054084314,0.002164738,0.0017089074,0.0032889424,0.00071339926,0.0029134385,0.0020645692,0.0017526771,0.0021630453],"category_scores_gemma":[0.0041502975,0.000742837,0.0020864538,0.003758446,0.0032228106,0.0012988199,0.0012132002,0.003905994,0.00085621834],"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":[0.00025082444,0.00033175643,0.0021752666,0.0046942583,0.00047538185,0.00032113778,0.0018130387,0.13672173,0.01532002,0.34104583,0.0038323489,0.49301842],"study_design_scores_gemma":[0.00019226281,0.0025788147,0.0034379065,0.0021745786,0.00044804922,0.00079328875,0.0011741482,0.34075364,0.025817286,0.48431566,0.1379062,0.00040818987],"about_ca_topic_score_codex":0.0033038603,"about_ca_topic_score_gemma":0.003953428,"teacher_disagreement_score":0.0054084314,"about_ca_system_score_codex":0.003988196,"about_ca_system_score_gemma":0.0037899935,"threshold_uncertainty_score":0.028936505},"labels":[],"label_agreement":null},{"id":"W2197801013","doi":"10.5430/rwe.v6n4p104","title":"Italy’s Recipe for Coming out of Debt Crisis: Reform Packages","year":2015,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Italy: Economic History and Contemporary Issues","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":"Debt crisis; Recession; Context (archaeology); Financial crisis; Debt; Government (linguistics); Great Depression; Depression (economics); Economics; Economic policy; Politics; Economy; Political science; Keynesian economics; Finance; History","score_opus":0.28594194043888954,"score_gpt":0.3609766914962355,"score_spread":0.07503475105734597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197801013","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":[0.27474457,0.024366673,0.020250615,0.33933023,0.0020139928,0.0012184298,0.0006449105,0.001365536,0.33606496],"genre_scores_gemma":[0.91148007,0.007872581,0.027552905,0.021723976,0.0016171505,0.00050266855,0.0004373341,0.00018927104,0.028624002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99692184,0.0016802242,0.00010904442,0.0002072835,0.00049368734,0.0005878507],"domain_scores_gemma":[0.9975325,0.00066986866,0.00040455695,0.0005139773,0.00040257716,0.0004765591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005112097,0.0004337338,0.0003543953,0.0016941563,0.0017915503,0.004916845,0.00091167074,0.002704244,0.0038342206],"category_scores_gemma":[0.009177177,0.00033781145,0.000505511,0.0023366062,0.0030219622,0.0029045467,0.0031771725,0.004122212,0.000868359],"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":[0.00041386814,0.00076809706,0.018499535,0.0012883922,0.00012103562,0.0011007956,0.01818902,0.0037577096,0.0031615277,0.45268622,0.13866971,0.3613442],"study_design_scores_gemma":[0.00023852423,0.00046569528,0.08008797,0.0012238824,0.00014342202,0.00049006304,0.0058751456,0.0018446397,0.0016456381,0.031643618,0.87624913,0.000092272196],"about_ca_topic_score_codex":0.0057144295,"about_ca_topic_score_gemma":0.00795658,"teacher_disagreement_score":0.0057144295,"about_ca_system_score_codex":0.005106391,"about_ca_system_score_gemma":0.007879241,"threshold_uncertainty_score":0.03704965},"labels":[],"label_agreement":null},{"id":"W2293929792","doi":"10.5430/rwe.v7n1p1","title":"The Effect of Foreign Direct Investment and Economic Freedom on Economic Growth: The Case of BRICS Countries","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Development","field":"Computer Science","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":"Foreign direct investment; Economic freedom; Index of Economic Freedom; Index (typography); China; Economics; Panel data; Order (exchange); Government (linguistics); Investment (military); International economics; Development economics; Macroeconomics; Market economy; Econometrics; Political science; Politics","score_opus":0.02336763771513192,"score_gpt":0.27778331076312524,"score_spread":0.25441567304799334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293929792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99182093,0.00091103296,0.0001073775,0.0007321204,0.000009967148,0.00000390623,0.00015950814,0.000003487801,0.0062517417],"genre_scores_gemma":[0.99910766,0.00046846565,0.000022607785,0.00001610366,0.0000065960776,0.0000016535847,0.00007314187,7.86618e-7,0.00030302763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994234,0.00021242564,0.000019980536,0.000043720232,0.000051271138,0.00024924928],"domain_scores_gemma":[0.9969619,0.0014321194,0.0009478468,0.00009400424,0.00023241389,0.00033175343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010446312,0.00022877763,0.0002852725,0.0014013681,0.0006028693,0.0014979274,0.00018777988,0.00038270047,0.0023155613],"category_scores_gemma":[0.0027416707,0.00007919353,0.0005862461,0.0017090288,0.0010804798,0.0008197977,0.0010218847,0.00096976216,0.00017182187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019427693,0.00011514754,0.9656623,0.00007938064,0.00021671565,0.0025613208,0.0011595015,0.0059011113,0.00040792214,0.013461906,0.0009192211,0.009321233],"study_design_scores_gemma":[0.000025255766,0.00012523246,0.9767012,0.0001503836,0.00021543799,0.0005144195,0.0071388385,0.0061037736,0.000655681,0.0031924425,0.005144914,0.000032522454],"about_ca_topic_score_codex":0.028079752,"about_ca_topic_score_gemma":0.027445236,"teacher_disagreement_score":0.028079752,"about_ca_system_score_codex":0.0009531421,"about_ca_system_score_gemma":0.0010099222,"threshold_uncertainty_score":0.055832624},"labels":[],"label_agreement":null},{"id":"W2314740322","doi":"10.5430/rwe.v7n1p45","title":"Disadvantages of Imperfect Competition in Solar Energy Collector Markets and Policy Recommendations","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","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":"Renewable energy; Imperfect; Imperfect competition; Solar energy; Competition (biology); Industrial organization; Market competition; Turkish; Market structure; Economics; Product (mathematics); Focus (optics); Perfect competition; Market economy; Microeconomics; Engineering; Electrical engineering","score_opus":0.03867666339971489,"score_gpt":0.33501079279377427,"score_spread":0.2963341293940594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314740322","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":[0.12727475,0.013527241,0.026070232,0.46634862,0.0008244508,0.00016252654,0.0010749947,0.00017588995,0.36454123],"genre_scores_gemma":[0.95795476,0.0048425263,0.00445451,0.014993157,0.0006667516,0.0001312846,0.00020569401,0.000036397876,0.016714867],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99628264,0.0012315764,0.00013873573,0.0006514775,0.0009976615,0.00069795415],"domain_scores_gemma":[0.98518896,0.009644991,0.0019750553,0.00068929174,0.0019319666,0.00056979625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052736867,0.0003206579,0.0007896989,0.000850894,0.0012861161,0.0060656406,0.0018297432,0.005746328,0.018391473],"category_scores_gemma":[0.017275784,0.0002808435,0.00076798693,0.0007944737,0.0033773603,0.009507674,0.0017106957,0.0041250535,0.0008487267],"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":[0.00007237362,0.00008897075,0.0025266237,0.0002636898,0.000031257292,0.00022710508,0.0002467639,0.005726904,0.0002629006,0.96109366,0.014708125,0.014751636],"study_design_scores_gemma":[0.000119010794,0.000081052814,0.005769148,0.00051222654,0.000045776324,0.00019607984,0.0022030948,0.010309659,0.00073157373,0.90772265,0.07224701,0.000062793166],"about_ca_topic_score_codex":0.012060953,"about_ca_topic_score_gemma":0.009290717,"teacher_disagreement_score":0.018391473,"about_ca_system_score_codex":0.004444479,"about_ca_system_score_gemma":0.0054792254,"threshold_uncertainty_score":0.061525583},"labels":[],"label_agreement":null},{"id":"W2341314744","doi":"10.5430/rwe.v7n1p80","title":"Interaction between Stock Prices and Exchange Rate in Emerging Market Economies","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Market Dynamics and Volatility","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":"Emerging markets; Economics; Causality (physics); Exchange rate; Stock market; Stock exchange; Index (typography); Stock (firearms); Stock market index; Monetary economics; Econometrics; Financial economics; Economy; Macroeconomics; Geography; Finance","score_opus":0.10288158957520864,"score_gpt":0.3371328995899236,"score_spread":0.23425131001471494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341314744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950342,0.00040318366,0.0015008204,0.00027293552,0.000017052533,0.000012624381,0.0002116604,0.000011882672,0.0025355527],"genre_scores_gemma":[0.998698,0.00022678841,0.00041585512,0.000039813218,0.00001884514,0.0000071613536,0.00024391898,0.000002638397,0.00034694062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873763,0.0006985746,0.000114152106,0.00014615267,0.00018804426,0.00011545937],"domain_scores_gemma":[0.97751325,0.01466897,0.005687582,0.00063664455,0.00087283173,0.00062082213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002464616,0.00035154098,0.00045279556,0.0016955441,0.00035667283,0.0015912418,0.0002541753,0.00044993265,0.003465379],"category_scores_gemma":[0.01322044,0.00018023154,0.00063138094,0.0014053957,0.00056694867,0.0012889385,0.0008605332,0.0010133017,0.0002526683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015742169,0.00013221099,0.98662335,0.000029222378,0.0003181313,0.00028459777,0.0001427912,0.0014808764,0.00039418018,0.0025510453,0.00017671197,0.0077095716],"study_design_scores_gemma":[0.00003512945,0.00017446595,0.98350084,0.000021796277,0.00024371396,0.00018403972,0.00048109563,0.008624259,0.00049674476,0.0053696344,0.0008455184,0.000022834112],"about_ca_topic_score_codex":0.0031319908,"about_ca_topic_score_gemma":0.0039139646,"teacher_disagreement_score":0.003465379,"about_ca_system_score_codex":0.00036158194,"about_ca_system_score_gemma":0.00059375935,"threshold_uncertainty_score":0.013034344},"labels":[],"label_agreement":null},{"id":"W2474278354","doi":"10.5430/rwe.v7n1p107","title":"Does Rule of Law Affect Economic Growth Positively?","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":43,"is_retracted":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; Rule of law; Language change; Economics; Economic freedom; Developing country; Affect (linguistics); Empirical research; Control variable; Accountability; Economic system; Public economics; Economic growth; Market economy; Econometrics; Political science; Law","score_opus":0.06898298962655082,"score_gpt":0.31119761042877425,"score_spread":0.24221462080222345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474278354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679595,0.0014323634,0.00057277514,0.006302886,0.00009134508,0.000023501141,0.0004884748,0.000034852685,0.023094201],"genre_scores_gemma":[0.9979109,0.0006604372,0.00008986264,0.00014248707,0.00003808193,0.0000050171184,0.00016647928,0.0000057671828,0.0009809444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903095,0.00032547573,0.00006176642,0.00012119878,0.00016544295,0.00029515175],"domain_scores_gemma":[0.98941296,0.003923968,0.0044005825,0.00035395706,0.0009352361,0.00097335514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012104085,0.0002638977,0.0004322681,0.0008557433,0.00046865476,0.0020488335,0.00025533387,0.0008145017,0.003876444],"category_scores_gemma":[0.0074988673,0.00011137364,0.00045094985,0.0013849054,0.0014060356,0.0014238098,0.00075067265,0.0010942313,0.0007276387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018086871,0.00041365146,0.9528504,0.00010858794,0.00018492846,0.0006117959,0.0005741276,0.0030656075,0.00054485427,0.0076809796,0.0024619275,0.031322338],"study_design_scores_gemma":[0.000016805923,0.00015417827,0.983969,0.000082716986,0.000089243025,0.00012881978,0.0014566649,0.0019835464,0.00060577266,0.00571108,0.005783373,0.000018953393],"about_ca_topic_score_codex":0.0044917096,"about_ca_topic_score_gemma":0.004606372,"teacher_disagreement_score":0.0044917096,"about_ca_system_score_codex":0.00071306585,"about_ca_system_score_gemma":0.0010569395,"threshold_uncertainty_score":0.012968004},"labels":[],"label_agreement":null},{"id":"W2554284511","doi":"10.5430/rwe.v7n2p15","title":"A Panel Data Analysis of the Validity of Uncovered Interest Rate Parity (UIRP) in Selected African Countries","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","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":"Interest rate parity; Economics; Parity (physics); Panel data; Interest rate; Exchange rate; Econometrics; Certificate; Macroeconomics; International economics; Monetary economics; Mathematics","score_opus":0.4660529930367726,"score_gpt":0.35762347309576475,"score_spread":0.10842951994100786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554284511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972306,0.00008989211,0.00069156743,0.0000669314,0.0000030963588,0.000010146181,0.00068475073,0.000002413278,0.0012205988],"genre_scores_gemma":[0.9987544,0.000055231456,0.00023686966,0.000012342116,0.000003828981,0.000011962936,0.0007864063,0.0000011843418,0.00013781125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983687,0.001170672,0.000073131974,0.00014735214,0.00008876294,0.00015148745],"domain_scores_gemma":[0.9816197,0.012146721,0.0036961238,0.0013073714,0.0009848889,0.00024514654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028869554,0.00018227343,0.00034373146,0.0007211929,0.00043179098,0.00068797736,0.00029579745,0.00035945483,0.0018801321],"category_scores_gemma":[0.011082577,0.00020546817,0.00032933726,0.001829293,0.00037598572,0.0005709877,0.0005899809,0.00055757735,0.00030501085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047422375,0.00015327038,0.9709607,0.00008598354,0.0004489727,0.00048467345,0.0013864764,0.0059377323,0.0005858668,0.0035291745,0.0012289382,0.014724043],"study_design_scores_gemma":[0.000032676064,0.00025535113,0.97897184,0.000056234392,0.00019648726,0.000209024,0.003244055,0.012042166,0.0009809955,0.0009246217,0.0030660774,0.000020327978],"about_ca_topic_score_codex":0.0068750433,"about_ca_topic_score_gemma":0.0045162514,"teacher_disagreement_score":0.0068750433,"about_ca_system_score_codex":0.00032396204,"about_ca_system_score_gemma":0.0002498497,"threshold_uncertainty_score":0.015267849},"labels":[],"label_agreement":null},{"id":"W2555067550","doi":"10.5430/rwe.v7n2p1","title":"The Impacts of Climate Change on Agricultural Trade in the MENA Region","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological 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":"Climate change; Agriculture; Per capita; Food security; Natural resource economics; Economics; Agricultural productivity; Population; Gross domestic product; Agricultural economics; Geography; Development economics; Economic growth; Ecology","score_opus":0.1837348633662272,"score_gpt":0.34557088861028085,"score_spread":0.16183602524405363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555067550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99146664,0.001515588,0.0001856259,0.0005662115,0.00001921217,0.00000904222,0.0005958008,0.0000046241757,0.0056373063],"genre_scores_gemma":[0.99636614,0.0018903007,0.00020259077,0.00006418045,0.000028833703,0.000010877436,0.00031815126,0.0000049203018,0.0011139726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997495,0.00008878006,0.000012676092,0.000030638123,0.00004264486,0.00007574688],"domain_scores_gemma":[0.99966574,0.00010946516,0.00012353761,0.000013666512,0.00005294975,0.00003460067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003689848,0.00026301856,0.00026867003,0.0007739611,0.00070583797,0.0013656,0.00018709911,0.00039594847,0.0020445844],"category_scores_gemma":[0.00074903417,0.00010614458,0.0006154962,0.0022987374,0.000408839,0.000590887,0.00062834134,0.00038761392,0.00027850215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033229723,0.0001878075,0.9431837,0.00030072976,0.00032996407,0.004864949,0.0029107132,0.015894057,0.0047498285,0.005410958,0.0011268493,0.020708121],"study_design_scores_gemma":[0.000007688011,0.00011991212,0.97692823,0.0000697773,0.00009369559,0.0007523464,0.0056009567,0.0065981937,0.0010443045,0.0011236145,0.0076421415,0.000019056703],"about_ca_topic_score_codex":0.026144028,"about_ca_topic_score_gemma":0.030475419,"teacher_disagreement_score":0.026144028,"about_ca_system_score_codex":0.0012324114,"about_ca_system_score_gemma":0.0007336047,"threshold_uncertainty_score":0.051983714},"labels":[],"label_agreement":null},{"id":"W2556865342","doi":"10.5430/rwe.v7n2p26","title":"The Impact of the Interest Rate Liberalization on Both Banks and Small Firms: Evidence from China","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","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":"Shantou University","keywords":"Liberalization; China; Interest rate; Affect (linguistics); Business; Monetary economics; Economics; Financial system; Market economy","score_opus":0.1146622327508578,"score_gpt":0.33185130466089185,"score_spread":0.21718907191003406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556865342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834895,0.00032704108,0.000034694076,0.0003046225,0.0000031968948,0.000004838131,0.000089190806,0.0000019712672,0.00088540366],"genre_scores_gemma":[0.9991704,0.00028082132,0.0000156903,0.00005052781,0.0000067491446,0.0000023144673,0.00012829171,6.8787193e-7,0.000344506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999171,0.00018659385,0.00008247684,0.00015140865,0.00018482159,0.00022370239],"domain_scores_gemma":[0.9927291,0.0016457856,0.0032719155,0.0003613419,0.0011377966,0.00085404795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012286783,0.00020887253,0.00031903383,0.001124043,0.0006997575,0.00095094653,0.0004148736,0.00047027314,0.002090181],"category_scores_gemma":[0.0032480748,0.00018352838,0.00056183717,0.0014940469,0.0009983663,0.00072787976,0.0008676407,0.0006391083,0.00020182227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008160555,0.0000902239,0.9904417,0.000038210015,0.000088565015,0.00039794762,0.0012182667,0.00026153654,0.00022166532,0.0005145159,0.0004950666,0.0061507677],"study_design_scores_gemma":[0.0000072318444,0.000037293095,0.99733967,0.000014614775,0.000059298094,0.000046783916,0.0011889902,0.0004192088,0.00014780543,0.00006900144,0.0006631297,0.0000067938313],"about_ca_topic_score_codex":0.1297462,"about_ca_topic_score_gemma":0.14601412,"teacher_disagreement_score":0.1297462,"about_ca_system_score_codex":0.0014047794,"about_ca_system_score_gemma":0.0018001341,"threshold_uncertainty_score":0.25798196},"labels":[],"label_agreement":null},{"id":"W2561884444","doi":"10.5430/rwe.v7n2p44","title":"Public Social Expenditures and Economic Growth: Evidence from Selected OECD Countries","year":2016,"lang":"en","type":"article","venue":"Research in World Economy","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":"Economics; Gross domestic product; Per capita; Investment (military); Panel data; Public expenditure; Government spending; Government (linguistics); Development economics; Per capita income; Government expenditure; Endogenous growth theory; Public economics; Public investment; Demographic economics; Macroeconomics; Economic growth; Human capital; Econometrics; Public finance; Public fund; Political science","score_opus":0.17429702105989547,"score_gpt":0.3207887989844161,"score_spread":0.14649177792452062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561884444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97026116,0.008353252,0.0001880464,0.0010506837,0.000043792435,0.00001693141,0.0083110975,0.000018365168,0.011756701],"genre_scores_gemma":[0.98314244,0.008500711,0.00011055916,0.00014075932,0.00006345198,0.00001757554,0.007384873,0.00000769892,0.0006318873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942434,0.00016901197,0.000057869158,0.00006758168,0.00013295107,0.00014825953],"domain_scores_gemma":[0.9948084,0.0014601769,0.002590328,0.00025937278,0.00060022133,0.00028150622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013184306,0.00037675208,0.0003314375,0.0036245943,0.0003531858,0.0012698283,0.00020477168,0.00022984768,0.0015669566],"category_scores_gemma":[0.0035983627,0.000106039566,0.0005734119,0.0067013013,0.000649627,0.0005224586,0.0011217598,0.00037177405,0.0002807169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020681856,0.000059735197,0.9761521,0.00025169013,0.00036118092,0.00043868166,0.0005076555,0.0011051702,0.0000497223,0.0014194855,0.0042450763,0.015202761],"study_design_scores_gemma":[0.000013235925,0.000035728,0.9896876,0.0001484517,0.00018759754,0.00010834009,0.0014962645,0.00023641434,0.00012699225,0.00023021873,0.007720752,0.0000084800195],"about_ca_topic_score_codex":0.04057947,"about_ca_topic_score_gemma":0.034510907,"teacher_disagreement_score":0.04057947,"about_ca_system_score_codex":0.0007745329,"about_ca_system_score_gemma":0.00073088665,"threshold_uncertainty_score":0.08068651},"labels":[],"label_agreement":null},{"id":"W2608347648","doi":"10.5430/rwe.v8n1p24","title":"The Impact of OECD Countries’ Macroeconomic Factors on Turkey’s Foreign Trade","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"Economics; Panel data; Per capita; International economics; Population; Scope (computer science); International trade; Econometrics","score_opus":0.18534508231603153,"score_gpt":0.35830562260672627,"score_spread":0.17296054029069474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608347648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97955406,0.0019534512,0.00021413263,0.00053462293,0.0000607354,0.000012746065,0.0015491656,0.000024232804,0.016096903],"genre_scores_gemma":[0.99673647,0.0011653389,0.0000652216,0.00005319852,0.000024203697,0.0000046808427,0.0009211919,0.0000063168263,0.0010232825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955744,0.00009466913,0.00004158858,0.00007084671,0.000084061256,0.00015141116],"domain_scores_gemma":[0.9980404,0.00048236325,0.0007863846,0.00007898235,0.0004352622,0.00017671034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007357302,0.0004244579,0.0003569492,0.0012782278,0.00035464726,0.0025780397,0.00016839581,0.00035090075,0.0033506243],"category_scores_gemma":[0.0024788973,0.000110378955,0.00050078606,0.0018395134,0.00036931984,0.0006514172,0.0007216302,0.0007099856,0.00055306504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035766876,0.00013438107,0.950418,0.00015627254,0.0003373292,0.0017484077,0.00032280185,0.015424406,0.00055149174,0.004380271,0.00395947,0.02220945],"study_design_scores_gemma":[0.000011004393,0.00009215324,0.9872149,0.0000698794,0.00015298375,0.00023126286,0.0013293191,0.0037481955,0.00054236385,0.00052202895,0.0060637263,0.00002215913],"about_ca_topic_score_codex":0.028994862,"about_ca_topic_score_gemma":0.02268541,"teacher_disagreement_score":0.028994862,"about_ca_system_score_codex":0.0017595139,"about_ca_system_score_gemma":0.0011140635,"threshold_uncertainty_score":0.057652175},"labels":[],"label_agreement":null},{"id":"W2608964748","doi":"10.5430/rwe.v8n1p15","title":"State of Shocks Synchronization among Members of the GCC","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","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":"Aggregate demand; Economics; Demand shock; Supply shock; Oil supply; Supply and demand; Monetary economics; Aggregate supply; Oil price; Aggregate (composite); Money supply; Synchronization (alternating current); Econometrics; Macroeconomics; Monetary policy","score_opus":0.062804418981484,"score_gpt":0.311844418321453,"score_spread":0.24903999933996898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608964748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99459743,0.00017139614,0.0006278723,0.0001966587,0.000010337851,0.00000563432,0.0003376632,0.000017741446,0.0040353164],"genre_scores_gemma":[0.9993856,0.00008592479,0.000090898284,0.000020336865,0.000006987045,0.0000020868843,0.00016996973,0.0000030879648,0.00023503718],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.00007359952,0.00003630555,0.0000719763,0.00005976948,0.000068743495],"domain_scores_gemma":[0.9978988,0.00046822135,0.00095954933,0.00016527517,0.0003877174,0.00012044143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055312755,0.00014076465,0.00023328415,0.0010221672,0.000355116,0.0012173263,0.0001766454,0.00028963323,0.001794646],"category_scores_gemma":[0.004466607,0.00012822736,0.00012646806,0.0016585245,0.0003682051,0.0005959893,0.0007116063,0.00027705773,0.00022068378],"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":[0.00042460812,0.000031395124,0.9300837,0.00010410423,0.00020988518,0.0006878796,0.0046488037,0.010139174,0.0031264557,0.009899876,0.0020204172,0.03862374],"study_design_scores_gemma":[0.000011060406,0.00006790592,0.97289973,0.00006366967,0.000070551956,0.00021425264,0.005979188,0.008458714,0.0012181296,0.0035407075,0.0074387644,0.000037298483],"about_ca_topic_score_codex":0.011312666,"about_ca_topic_score_gemma":0.0053611193,"teacher_disagreement_score":0.011312666,"about_ca_system_score_codex":0.0006542391,"about_ca_system_score_gemma":0.00038372795,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2613316362","doi":"10.5430/rwe.v8n1p37","title":"The Effect of Sales and Evidence from Micro Data","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Consumer Market Behavior and Pricing","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":"Product (mathematics); Business; Commerce; Retail sales; Economics; Microeconomics; Industrial organization; Econometrics; Advertising; Marketing; Monetary economics; Mathematics","score_opus":0.17313273846281346,"score_gpt":0.393941095392912,"score_spread":0.22080835693009854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613316362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9513785,0.0022829312,0.003976031,0.0028128834,0.000088585904,0.000061994564,0.022014337,0.00013881446,0.017245952],"genre_scores_gemma":[0.990276,0.0004674902,0.0007385382,0.00024708814,0.000076589895,0.000023465545,0.006902445,0.00002326223,0.0012450687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956963,0.0019297242,0.00040364207,0.00080083375,0.0009290113,0.00024041138],"domain_scores_gemma":[0.84419495,0.11127891,0.028451065,0.010512288,0.0041100257,0.001452712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036900206,0.00040228214,0.0006354677,0.002158381,0.0003674326,0.001757136,0.0009795914,0.00095893245,0.01183268],"category_scores_gemma":[0.03613035,0.00030926277,0.00071977853,0.0027481029,0.0010160267,0.0017770512,0.0010275944,0.0015352227,0.0017420241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000703025,0.0003489003,0.95942754,0.0005189871,0.0012177851,0.00034674615,0.00027843218,0.0045782784,0.00057338015,0.004548431,0.008696256,0.018762311],"study_design_scores_gemma":[0.000101486265,0.00025737204,0.97287095,0.0001145239,0.00043714893,0.00021218022,0.00071032514,0.010155816,0.0015523778,0.003060522,0.01047978,0.000047531918],"about_ca_topic_score_codex":0.008440349,"about_ca_topic_score_gemma":0.0081262505,"teacher_disagreement_score":0.01183268,"about_ca_system_score_codex":0.0005757682,"about_ca_system_score_gemma":0.00025854152,"threshold_uncertainty_score":0.03958428},"labels":[],"label_agreement":null},{"id":"W2616941502","doi":"10.5430/rwe.v8n1p45","title":"Benefits of Aviation Weather Services: A Review of International Literature","year":2017,"lang":"en","type":"review","venue":"Research in World Economy","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","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":"University of Ghana","keywords":"Aviation; SAFER; Work (physics); Business; Aeronautics; Transport engineering; Computer science; Engineering; Computer security","score_opus":0.12340242852289343,"score_gpt":0.4115516919485723,"score_spread":0.2881492634256788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616941502","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":[0.00015376309,0.9988167,0.000034451314,0.0002395753,0.00009159487,0.0000036780427,0.000034064462,0.000002075973,0.0006240288],"genre_scores_gemma":[0.0009642285,0.99865025,0.00006482543,0.00011792002,0.00007303298,0.0000037992547,0.000023009048,9.317323e-7,0.000102038815],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931,0.0001334036,0.0001554535,0.00010978182,0.00024410084,0.00004720932],"domain_scores_gemma":[0.9969409,0.0021269254,0.0003969444,0.00004583144,0.00041307329,0.00007627847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001535407,0.00085896644,0.0014272912,0.0067988704,0.0004609577,0.00213304,0.0009603615,0.0011790651,0.007746236],"category_scores_gemma":[0.0043211803,0.0003828824,0.0011429562,0.009960484,0.0006722625,0.0023446777,0.0008972329,0.0011674333,0.00093211053],"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":[0.000090634734,0.0000633466,0.0006693016,0.124550804,0.00027710223,0.00020219167,0.0003416413,0.00032964858,0.00042073303,0.003950518,0.024202686,0.84490144],"study_design_scores_gemma":[0.000020086758,0.00012123134,0.0051755398,0.102095924,0.0010157321,0.0013750431,0.00076270266,0.000120908866,0.00036203832,0.0028555347,0.8860464,0.00004888338],"about_ca_topic_score_codex":0.0028612579,"about_ca_topic_score_gemma":0.005450226,"teacher_disagreement_score":0.007746236,"about_ca_system_score_codex":0.0011759575,"about_ca_system_score_gemma":0.0037506982,"threshold_uncertainty_score":0.025913775},"labels":[],"label_agreement":null},{"id":"W2767619194","doi":"10.5430/rwe.v8n2p59","title":"The Impact of Public Health Expenditure on Economic Development – Evidence from Prefecture-Level Panel Data of Shandong Province","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Health Care Issues","field":"Health Professions","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":"Panel data; Per capita; Public expenditure; Public health; Public economics; Economic growth; Economics; Aggregate expenditure; Government (linguistics); Investment (military); Business; Environmental health; Public finance; Political science","score_opus":0.7363043884131771,"score_gpt":0.6032188223014275,"score_spread":0.1330855661117496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767619194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99765116,0.00014780041,0.000080891616,0.00015686709,0.000005813253,0.000003781706,0.0013552236,0.0000041658836,0.0005942482],"genre_scores_gemma":[0.9981517,0.00011721035,0.000034256533,0.000018312889,0.000003744466,0.0000038448106,0.0013559385,0.0000013435092,0.00031365952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991642,0.0003356278,0.00006242432,0.0001300867,0.000100940524,0.00020678277],"domain_scores_gemma":[0.9933984,0.0018464548,0.0021310356,0.00093581545,0.0008838623,0.0008043618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016300218,0.0003042708,0.00038539452,0.0011742768,0.00046774032,0.0007191086,0.00049052853,0.0002520824,0.0023682725],"category_scores_gemma":[0.004282584,0.0002733086,0.0008427262,0.0029511815,0.00048129127,0.00041393572,0.00086062914,0.0005291286,0.00027330965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078035344,0.000022430582,0.99581134,0.000015057917,0.00019027687,0.000096766074,0.00016846861,0.00094439526,0.00007318043,0.00012779275,0.00050485303,0.001967329],"study_design_scores_gemma":[0.0000063165044,0.000015652922,0.99816006,0.000008455835,0.000061135695,0.000012286682,0.00021073688,0.0011557047,0.00004183753,0.000039522834,0.00028413296,0.000004234509],"about_ca_topic_score_codex":0.28955492,"about_ca_topic_score_gemma":0.32639024,"teacher_disagreement_score":0.28955492,"about_ca_system_score_codex":0.0017009743,"about_ca_system_score_gemma":0.0018526883,"threshold_uncertainty_score":0.575739},"labels":[],"label_agreement":null},{"id":"W2768597565","doi":"10.5430/rwe.v8n2p25","title":"The Positive Role of Small Businesses in Scaling down the Shadow Economy Phenomenon and Its Negative Impact on the Private Sector and the National Economy: An Exploratory Study in the Province of Jeddah","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","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); Informal sector; Economy; Phenomenon; Language change; Economics; Business; Market economy","score_opus":0.12791396713065492,"score_gpt":0.3371751333027951,"score_spread":0.20926116617214016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768597565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99746776,0.00015255381,0.0000371636,0.0002698824,0.000006072128,0.000020532263,0.000009094834,7.311037e-7,0.00203625],"genre_scores_gemma":[0.9972385,0.00038901964,0.00006715592,0.00014023083,0.000007513266,0.000012486211,0.000010352133,0.0000016984103,0.0021330672],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.999363,0.00019544977,0.000017680155,0.000046189332,0.00012260434,0.00025517796],"domain_scores_gemma":[0.9985172,0.0005230907,0.00027515122,0.000033560325,0.00020537438,0.00044558238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000975482,0.00020948923,0.00029149954,0.0010054149,0.0045492547,0.0018658369,0.0006155593,0.0006450296,0.0032355173],"category_scores_gemma":[0.0018121334,0.00023939864,0.00026715023,0.000891562,0.0025400913,0.001107031,0.0012018982,0.0008598005,0.00029655872],"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":[0.00020939433,0.001686326,0.42516243,0.0004294504,0.000041137024,0.010145871,0.5018334,0.00020529592,0.0027430514,0.004861718,0.0040703192,0.0486116],"study_design_scores_gemma":[0.000007698793,0.00025828116,0.23895422,0.00010180405,0.00001448129,0.0005340091,0.7490979,0.00016282676,0.00016122132,0.00024135601,0.010452385,0.000013819619],"about_ca_topic_score_codex":0.04742148,"about_ca_topic_score_gemma":0.11646028,"teacher_disagreement_score":0.04742148,"about_ca_system_score_codex":0.0036180858,"about_ca_system_score_gemma":0.0043657636,"threshold_uncertainty_score":0.09429091},"labels":[],"label_agreement":null},{"id":"W2768950075","doi":"10.5430/rwe.v8n2p1","title":"Will Inequality Affect Growth?: Evidence from USA and China since 1980","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Income, Poverty, and Inequality","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":"Economics; Depreciation (economics); Cointegration; Inequality; China; Economic inequality; Short run; Real gross domestic product; Affect (linguistics); Per capita income; Development economics; Macroeconomics; Demographic economics; Econometrics; Economic growth; Geography; Human capital","score_opus":0.17743308523458268,"score_gpt":0.44408277642686134,"score_spread":0.26664969119227866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768950075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97879857,0.0059815915,0.000103774066,0.0035520897,0.00004051232,0.0000063986986,0.0009443804,0.000004552892,0.010568195],"genre_scores_gemma":[0.9959919,0.0024037852,0.000027777538,0.0002797257,0.00006517643,0.0000040016575,0.00071596424,0.0000023661964,0.0005093756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999572,0.00009116502,0.000035553516,0.00006444458,0.00007536289,0.00016160334],"domain_scores_gemma":[0.99524915,0.0010850125,0.0020999021,0.00020431662,0.0007134337,0.0006481952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011968429,0.0002220322,0.00024714897,0.0016450901,0.0006073198,0.00079954165,0.00031432076,0.0003490201,0.002303003],"category_scores_gemma":[0.0034130886,0.000098033015,0.00038038424,0.0032229621,0.0008248173,0.0007063682,0.0010077487,0.0006445558,0.00015344765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009355403,0.00004317468,0.98019683,0.000057226185,0.00008394499,0.00016669858,0.0009407586,0.0001426432,0.000059108654,0.0012323192,0.0016153769,0.015368305],"study_design_scores_gemma":[0.000003853219,0.00001891123,0.9959274,0.00006233648,0.000050871833,0.000035063644,0.0008366006,0.00018815303,0.000072780735,0.00019350016,0.0026059411,0.000004423062],"about_ca_topic_score_codex":0.072625786,"about_ca_topic_score_gemma":0.09326248,"teacher_disagreement_score":0.072625786,"about_ca_system_score_codex":0.0007058985,"about_ca_system_score_gemma":0.0009327307,"threshold_uncertainty_score":0.14440614},"labels":[],"label_agreement":null},{"id":"W2771046261","doi":"10.5430/rwe.v8n2p12","title":"An Empirical Study on the Stock Price Volatility of Small and Medium Enterprise Board in China","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Firm Innovation and 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":"Shantou University","keywords":"Volatility (finance); Monetary economics; China; Economics; Stock (firearms); Stock market; Offset (computer science); Capital market; Business; Financial economics; Finance","score_opus":0.17212464587496265,"score_gpt":0.3869132484663783,"score_spread":0.21478860259141566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771046261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995919,0.000029695731,0.000051003582,0.000034548455,0.0000011805179,0.0000021829778,0.0000614473,9.330601e-7,0.00022716097],"genre_scores_gemma":[0.9995572,0.00004160484,0.000025439705,0.000008150809,0.0000045722286,0.0000015631847,0.00017496523,3.7876248e-7,0.00018612524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997178,0.000026527598,0.000025474774,0.000049949733,0.00009895114,0.00008136627],"domain_scores_gemma":[0.9986749,0.00034313722,0.0004878207,0.00006930296,0.00018783941,0.00023692513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005864277,0.00018295583,0.00021586315,0.0009084179,0.00038834923,0.0006265375,0.00032620897,0.0002922648,0.0008715592],"category_scores_gemma":[0.001836713,0.00014179914,0.00030040147,0.0012895138,0.00027787857,0.0006169957,0.00032501726,0.00037023355,0.0000872225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024699537,0.000052186297,0.9947292,0.000009358004,0.000029928884,0.00022072942,0.00045147262,0.00046525983,0.0004526418,0.00031443776,0.00017774003,0.0030723803],"study_design_scores_gemma":[0.0000023390573,0.000022652475,0.99645543,0.000002527629,0.000010653586,0.000038990835,0.0003351336,0.0027662122,0.00012312068,0.000064587664,0.00017470465,0.000003627183],"about_ca_topic_score_codex":0.040677264,"about_ca_topic_score_gemma":0.042749908,"teacher_disagreement_score":0.040677264,"about_ca_system_score_codex":0.00088173046,"about_ca_system_score_gemma":0.0007890347,"threshold_uncertainty_score":0.08088094},"labels":[],"label_agreement":null},{"id":"W2775022250","doi":"10.5430/rwe.v8n2p78","title":"Linkages between Trade Openness, Productivity and Industrialization in Nigeria: A Co-integration Test","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","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":"Openness to experience; Total factor productivity; Industrialisation; Variance decomposition of forecast errors; Economics; Productivity; Variance (accounting); Econometrics; Macroeconomics; Market economy","score_opus":0.2066927419693466,"score_gpt":0.3657996897434549,"score_spread":0.1591069477741083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775022250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959934,0.000339994,0.00042093688,0.00019397362,0.000021549049,0.000011555987,0.0001349253,0.000008205135,0.0028754214],"genre_scores_gemma":[0.99907327,0.0001476537,0.00008669219,0.000012486252,0.000014055094,0.000006689671,0.00017271128,0.0000024466708,0.00048406515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989543,0.00031978972,0.00008029776,0.00018026243,0.00012440997,0.00034090623],"domain_scores_gemma":[0.9916788,0.005470608,0.0013809925,0.0002598541,0.00037436426,0.0008352902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002309583,0.00038914505,0.0007219094,0.0013772465,0.0005882285,0.0021818879,0.00033399602,0.00052777614,0.007062515],"category_scores_gemma":[0.0061114086,0.0002058256,0.0010632104,0.0016542414,0.0010381201,0.0010495506,0.0019765322,0.001332279,0.00048096429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030588068,0.00017974134,0.98756987,0.000038779555,0.00029178488,0.0008661129,0.0005010474,0.001965272,0.00036068822,0.00194073,0.00031178517,0.005668432],"study_design_scores_gemma":[0.000035588484,0.00044745044,0.9719517,0.00009351107,0.00033285166,0.00041418648,0.004649546,0.017713709,0.00039331336,0.002486226,0.0014594116,0.000022554144],"about_ca_topic_score_codex":0.00884524,"about_ca_topic_score_gemma":0.00466833,"teacher_disagreement_score":0.00884524,"about_ca_system_score_codex":0.00062171125,"about_ca_system_score_gemma":0.0013069148,"threshold_uncertainty_score":0.023626506},"labels":[],"label_agreement":null},{"id":"W2775373959","doi":"10.5430/rwe.v8n2p49","title":"Characteristics of Consumers' Behavior in Shopping of Food Products in the Market of Bosnia and Herzegovina","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Regional Development and Management 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":"Purchasing; Business; Quality (philosophy); Marketing; Food products; Food market; Perception; Domestic market; Order (exchange); Advertising; Food science; Agriculture; Geography; Psychology","score_opus":0.17074298962689716,"score_gpt":0.3234928881371091,"score_spread":0.15274989851021192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775373959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996791,0.000027717435,0.000008043435,0.0000122243455,7.360928e-7,0.0000024077594,0.000020616048,3.2894778e-7,0.00024894168],"genre_scores_gemma":[0.99975926,0.000031919528,0.000029754001,0.000009757325,0.0000016247512,0.0000024449487,0.000036383888,3.657261e-7,0.00012849102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998628,0.000042389933,0.000012408407,0.000017191524,0.000031228727,0.000034013097],"domain_scores_gemma":[0.9994936,0.00017460242,0.00019314434,0.000016031183,0.000042650376,0.00007997678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037020288,0.0001094353,0.00016464622,0.0004978286,0.00035890646,0.0006201589,0.000112271664,0.00026776985,0.002011278],"category_scores_gemma":[0.0009265239,0.00010507889,0.00020763271,0.0005622569,0.00021717284,0.0003069048,0.00017092591,0.00028112586,0.00016465737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019630301,0.00028851756,0.9888715,0.000027880109,0.00003640499,0.00017056892,0.0027475643,0.00009033086,0.0016404547,0.00012799764,0.00011346281,0.005688874],"study_design_scores_gemma":[0.0000023289435,0.00008046764,0.9975681,0.0000033479391,0.000005284577,0.000059587615,0.001939505,0.00014170322,0.00004069964,0.000015088884,0.00014106627,0.0000029799403],"about_ca_topic_score_codex":0.007348852,"about_ca_topic_score_gemma":0.009288584,"teacher_disagreement_score":0.007348852,"about_ca_system_score_codex":0.00032074534,"about_ca_system_score_gemma":0.00015453716,"threshold_uncertainty_score":0.014612198},"labels":[],"label_agreement":null},{"id":"W2775631219","doi":"10.5430/rwe.v8n2p66","title":"Societal Dimension of Energy Consumption – Exploring Environmental Inequality in China","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, 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":"Equity (law); Sustainability; Economics; Nexus (standard); Natural resource economics; Energy consumption; Social equality; Economic growth; Rural area; Public economics; Business; Political science","score_opus":0.1728580827531238,"score_gpt":0.315191580956664,"score_spread":0.1423334982035402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775631219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826497,0.00005864775,0.000081995524,0.00006905288,8.0508954e-7,0.000004529422,0.00014222872,0.0000010206668,0.001376768],"genre_scores_gemma":[0.99967027,0.000033965964,0.00003156221,0.000007208182,0.000001079222,0.00000398683,0.00012187391,4.1545664e-7,0.00012962638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966073,0.0000715087,0.00001957064,0.00005724964,0.00006972589,0.00012122455],"domain_scores_gemma":[0.99970204,0.00006710926,0.00007495873,0.000026399477,0.00006395297,0.000065447035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041886675,0.00031619414,0.00024250089,0.0023022494,0.001084088,0.0007919816,0.00036000766,0.00022748693,0.001666968],"category_scores_gemma":[0.0005908844,0.000112997084,0.00054002035,0.0036600602,0.0005944683,0.000681729,0.001376583,0.00024908024,0.00007534708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022846407,0.000044748715,0.98718387,0.000023604134,0.0000685609,0.00020631989,0.0028396815,0.0007932459,0.00029597114,0.0022699465,0.00016187163,0.006089262],"study_design_scores_gemma":[0.0000010384302,0.00001685554,0.9944871,0.0000082910865,0.000014099579,0.000020826661,0.0027317815,0.0017860965,0.000070789,0.00041752274,0.0004406707,0.0000048899824],"about_ca_topic_score_codex":0.10474645,"about_ca_topic_score_gemma":0.10216724,"teacher_disagreement_score":0.10474645,"about_ca_system_score_codex":0.0021387953,"about_ca_system_score_gemma":0.0010957067,"threshold_uncertainty_score":0.20827353},"labels":[],"label_agreement":null},{"id":"W2790558212","doi":"10.5430/rwe.v9n1p9","title":"Empirical Testing of Influencing Factors of China’s Housing Prices - Evidence From Provincial Panel Data","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","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":"Dependency ratio; Real estate; Panel data; China; Demographic economics; Economics; Unemployment; Population; Unemployment rate; Agricultural economics; Labour economics; Economic growth; Geography; Econometrics; Demography; Finance","score_opus":0.4433388000948097,"score_gpt":0.3915927323974811,"score_spread":0.05174606769732859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790558212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965334,0.00015129725,0.00039067343,0.000159064,0.000006577414,0.00001215867,0.0013164836,0.000009008565,0.001421437],"genre_scores_gemma":[0.9978891,0.00011876369,0.00017088816,0.000020515527,0.0000056074027,0.000006240328,0.0014869147,0.0000022078514,0.0002998254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906105,0.00018208179,0.00009332924,0.00015028591,0.0003392509,0.00017395389],"domain_scores_gemma":[0.99434257,0.0014529222,0.0015088412,0.0005250616,0.0016658765,0.0005047429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015333644,0.0002870281,0.00046673056,0.001243275,0.0006642143,0.0008078584,0.0004844206,0.000194975,0.0015942468],"category_scores_gemma":[0.004547629,0.00024909902,0.0008057779,0.0033904954,0.00036332555,0.0004865076,0.0005859835,0.00036664304,0.0001641914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000215473,0.000016663233,0.99406886,0.000019745099,0.00013619728,0.00008496705,0.00019838673,0.0008514616,0.0001555343,0.0003840212,0.00044456165,0.0036180387],"study_design_scores_gemma":[0.0000057287584,0.000010991797,0.99528235,0.0000055673495,0.000057059046,0.000015199321,0.00021695404,0.003655795,0.00012374973,0.0000931303,0.00052821846,0.0000051714364],"about_ca_topic_score_codex":0.3575611,"about_ca_topic_score_gemma":0.35232598,"teacher_disagreement_score":0.3575611,"about_ca_system_score_codex":0.0017238617,"about_ca_system_score_gemma":0.003310737,"threshold_uncertainty_score":0.7109598},"labels":[],"label_agreement":null},{"id":"W2790770101","doi":"10.5430/rwe.v9n1p1","title":"A Study of Customers’ Behavior in the Use of Pharmaceutical Services – Drugstores in the South of Vietnam","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Organizational Management and Leadership","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":"Marketing; Product (mathematics); Business; Focus group; Qualitative research; Advertising; Sociology","score_opus":0.26608830933456956,"score_gpt":0.38375147088466743,"score_spread":0.11766316155009787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790770101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995414,0.000019378283,0.000014418912,0.000076696924,0.0000012513559,0.000006268844,0.000012286074,2.969239e-7,0.0003279836],"genre_scores_gemma":[0.99948776,0.000054617598,0.000033811244,0.000058611553,0.0000016422833,0.000007947083,0.0000144291425,6.2818975e-7,0.00034057343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923646,0.0003980842,0.000042738087,0.000052277577,0.000101219,0.00016913837],"domain_scores_gemma":[0.9973767,0.0010710293,0.00051455264,0.00004885726,0.00037770945,0.00061108195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010803821,0.00011532947,0.00019868634,0.00044660864,0.0019271546,0.0011569738,0.00031063566,0.00047090408,0.0021561084],"category_scores_gemma":[0.0027488375,0.00027524316,0.00013554082,0.0008886805,0.00070967956,0.000769781,0.00052808184,0.0007783377,0.00015414922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013511456,0.00080287794,0.5360533,0.0001538076,0.00003065922,0.0014212357,0.4458269,0.000089002584,0.0021232201,0.0005292547,0.00079864345,0.012036028],"study_design_scores_gemma":[0.0000075276603,0.0004415429,0.3007057,0.000042090956,0.000010415103,0.00037744932,0.6947772,0.00027255504,0.0003604891,0.00005338911,0.0029328708,0.000018781919],"about_ca_topic_score_codex":0.033653133,"about_ca_topic_score_gemma":0.04154584,"teacher_disagreement_score":0.033653133,"about_ca_system_score_codex":0.001429759,"about_ca_system_score_gemma":0.0014831913,"threshold_uncertainty_score":0.0669145},"labels":[],"label_agreement":null},{"id":"W2795551157","doi":"10.5430/rwe.v9n1p15","title":"Towards an Evolutionary Understanding of the Current Global Socio-economic Crisis and Restructuring: From a Conjunctural to a Structural and Evolutionary Perspective","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","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":"","keywords":"Restructuring; Globalization; Evolutionary economics; Perspective (graphical); Economic system; Positive economics; Management science; Neoclassical economics; Economics; Computer science","score_opus":0.11197515238010633,"score_gpt":0.3383075467540505,"score_spread":0.22633239437394417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795551157","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":[0.10943705,0.041578174,0.44756716,0.19440076,0.001574342,0.00026133462,0.00026812823,0.00021346875,0.20469964],"genre_scores_gemma":[0.89888036,0.020936856,0.06668393,0.0044253357,0.00070646725,0.00024869037,0.0001683887,0.00011027372,0.007839695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99811906,0.0010135818,0.00008028245,0.00033062155,0.00025681194,0.00019967089],"domain_scores_gemma":[0.9976373,0.0010345024,0.00029580217,0.00028913928,0.00043950614,0.00030381052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063462695,0.0006643444,0.0008313833,0.0033504793,0.0027050918,0.011286589,0.0019681614,0.0033582393,0.0028031163],"category_scores_gemma":[0.004122379,0.00036302983,0.0005572097,0.0024168151,0.024060547,0.020604609,0.005622246,0.0054372814,0.0003410607],"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":[0.000007852246,0.00001355284,0.0007021445,0.00007866319,0.00000814623,0.000109252505,0.006949614,0.00080148695,0.0002083293,0.9829479,0.00060930254,0.0075638327],"study_design_scores_gemma":[0.0000037646082,0.000016639357,0.001575892,0.00020342287,0.000010015641,0.00012836537,0.010278395,0.0022412194,0.00010867196,0.9513804,0.034040757,0.000012408792],"about_ca_topic_score_codex":0.0021513617,"about_ca_topic_score_gemma":0.0022637006,"teacher_disagreement_score":0.011286589,"about_ca_system_score_codex":0.004647767,"about_ca_system_score_gemma":0.0040134047,"threshold_uncertainty_score":0.033722043},"labels":[],"label_agreement":null},{"id":"W2799969194","doi":"10.5430/rwe.v9n1p61","title":"Poland’s Sustained “March to a Market Economy”: The Choice Between Competing Visions and Plans","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Post-Communist Economic and Political Transition","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":"Vision; Victory; Incentive; Economics; Foreign direct investment; Investment (military); Economic Justice; Economic policy; Political science; Economy; Political economy; Market economy; Law; Politics; Sociology","score_opus":0.10394436092407502,"score_gpt":0.42616571389799596,"score_spread":0.32222135297392096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799969194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72658813,0.001256703,0.004550084,0.042376988,0.00026262712,0.000063963955,0.000090240625,0.000037031925,0.22477427],"genre_scores_gemma":[0.99126935,0.00027914377,0.00043594366,0.0010489272,0.000017199181,0.000018857025,0.000013509553,0.00001545891,0.006901631],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983802,0.0004965903,0.000054876327,0.00019508482,0.0002801113,0.0005931636],"domain_scores_gemma":[0.9995134,0.00009801332,0.00009655663,0.00003862547,0.00007219107,0.0001812339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028081962,0.00020885679,0.00026752337,0.000648784,0.004330819,0.010787594,0.00039453234,0.0016510064,0.0020496198],"category_scores_gemma":[0.0038433615,0.00029732962,0.00024693887,0.00069003465,0.006362527,0.0045989687,0.004471977,0.0033696874,0.00036416226],"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":[0.00016203625,0.000049331058,0.0049314997,0.00008992558,0.000033601675,0.00061977626,0.03498308,0.00045646622,0.0010076745,0.91271627,0.010418223,0.03453225],"study_design_scores_gemma":[0.00010354897,0.00015571744,0.043406073,0.00022792257,0.00003605578,0.00059149973,0.100650355,0.0019721969,0.0014255374,0.3957087,0.45560533,0.00011708596],"about_ca_topic_score_codex":0.0050761634,"about_ca_topic_score_gemma":0.010759355,"teacher_disagreement_score":0.010787594,"about_ca_system_score_codex":0.005249319,"about_ca_system_score_gemma":0.0048490507,"threshold_uncertainty_score":0.038086653},"labels":[],"label_agreement":null},{"id":"W2801918912","doi":"10.5430/rwe.v9n1p46","title":"Impact of Cultural and Creative Industries on Regional Economic Development in China — A Spatial Econometric Approach","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Cultural Industries and Urban Development","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":"","keywords":"China; Creative industries; Economic geography; Investment (military); Scale (ratio); Economics; Business; Economy; Economic system; Economic growth; Regional science; Political science; Geography","score_opus":0.21988669728034005,"score_gpt":0.41212237121525164,"score_spread":0.1922356739349116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801918912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872125,0.0008780578,0.0073633706,0.00068997964,0.00002385352,0.000054031145,0.0011624795,0.00008499968,0.0025307762],"genre_scores_gemma":[0.9971551,0.0004309451,0.0007759805,0.00003101321,0.000012627772,0.00002326032,0.00052380835,0.000006290761,0.0010409923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805933,0.00080587156,0.00010115878,0.00031811558,0.00022752088,0.00048800913],"domain_scores_gemma":[0.9960497,0.0019757971,0.0007539748,0.00021754227,0.0005042607,0.0004986388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031830645,0.0006449078,0.00086942874,0.0032718421,0.00069751305,0.0019554882,0.0010960037,0.0007191271,0.0030233948],"category_scores_gemma":[0.0054975483,0.00047850885,0.00294308,0.0035824094,0.0013315763,0.0012865057,0.0022720906,0.00083202316,0.00029735002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015604674,0.0001288698,0.8033686,0.00010938728,0.00094680657,0.0012304954,0.0004951232,0.17414092,0.00033113724,0.007902311,0.0010856236,0.010104632],"study_design_scores_gemma":[0.00006675494,0.00017643104,0.44973946,0.000052242623,0.00062200223,0.0001710348,0.0025831508,0.5384622,0.00051789643,0.004246032,0.0032847717,0.00007806974],"about_ca_topic_score_codex":0.14319776,"about_ca_topic_score_gemma":0.07862153,"teacher_disagreement_score":0.14319776,"about_ca_system_score_codex":0.0029165235,"about_ca_system_score_gemma":0.0031946553,"threshold_uncertainty_score":0.28472853},"labels":[],"label_agreement":null},{"id":"W2802376714","doi":"10.5430/rwe.v9n1p34","title":"Does “Higher Wall” Hinder Immigration?","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration and Labor Dynamics","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":"Immigration; Construct (python library); Enforcement; Geometric Brownian motion; Demographic economics; Immigration policy; Brownian motion; Political science; Economics; Computer science; Law; Mathematics; Economy; Statistics","score_opus":0.06505277675199657,"score_gpt":0.410965117588441,"score_spread":0.34591234083644445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802376714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8754707,0.0010939996,0.011741062,0.011358809,0.000326536,0.00006520473,0.00008797574,0.000048101607,0.09980761],"genre_scores_gemma":[0.994241,0.00027317708,0.0010812713,0.0008516582,0.00005818878,0.00001978507,0.000024531017,0.000007582436,0.003442804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99862146,0.0005176596,0.00006257203,0.0001941204,0.00019791775,0.00040622443],"domain_scores_gemma":[0.99415356,0.0019424882,0.002398533,0.00035769542,0.0003542271,0.0007934632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021947725,0.00028486294,0.00044635448,0.00030303176,0.0014904538,0.0022712348,0.000576756,0.0017045229,0.009378807],"category_scores_gemma":[0.010244182,0.00015869961,0.00037824013,0.0002649864,0.0027572657,0.0017677643,0.0016227853,0.0013415042,0.0007497686],"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":[0.0007178157,0.0011781554,0.17620471,0.000952735,0.00030824207,0.0019378325,0.007743188,0.0107987905,0.013242626,0.67160726,0.010724889,0.10458371],"study_design_scores_gemma":[0.000205821,0.0022242293,0.35163352,0.0013697807,0.00048331395,0.0015208838,0.03309274,0.021334546,0.009624549,0.48147914,0.096804045,0.0002274026],"about_ca_topic_score_codex":0.0025564486,"about_ca_topic_score_gemma":0.004420386,"teacher_disagreement_score":0.009378807,"about_ca_system_score_codex":0.0007960883,"about_ca_system_score_gemma":0.0016107898,"threshold_uncertainty_score":0.03137529},"labels":[],"label_agreement":null},{"id":"W2802674024","doi":"10.5430/rwe.v9n1p39","title":"Scientific Culture and Economic Growth in the Long-Run: On a Capital Perspective","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Intellectual Capital and Performance Analysis","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":"Economics; Capital deepening; Perspective (graphical); Capital accumulation; Capital (architecture); Civilization; Economic system; Human capital; Economic capital; Classical economics; Neoclassical economics; Financial capital; Monetary economics; Capital formation; Market economy; Political science; Geography; Law","score_opus":0.04264701189194894,"score_gpt":0.3057219553107958,"score_spread":0.2630749434188469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802674024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65807956,0.020560239,0.039769925,0.040312033,0.00035458326,0.00007057751,0.0005790207,0.00009898482,0.24017508],"genre_scores_gemma":[0.98965865,0.005668278,0.0009935453,0.00023315415,0.00010684199,0.000019398083,0.000068316294,0.000007987323,0.0032438019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99969435,0.00009118853,0.000015534022,0.000043064512,0.000062866064,0.00009296613],"domain_scores_gemma":[0.9986513,0.0006005411,0.0002712214,0.000060536084,0.00018441601,0.00023207733],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006841906,0.0005549015,0.00032710776,0.001572281,0.0008315258,0.003820137,0.00031463016,0.000778967,0.002506945],"category_scores_gemma":[0.0017003502,0.00011741944,0.0005516257,0.002320323,0.0020657836,0.0043591564,0.0018257841,0.0016058282,0.00025109103],"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":[0.0001077406,0.00023954413,0.03966209,0.00017263791,0.00012289562,0.00073561154,0.0013264725,0.03816004,0.00065281644,0.88365924,0.002413358,0.032747548],"study_design_scores_gemma":[0.00004523233,0.00026801557,0.06670653,0.00056228356,0.0002439651,0.0003510445,0.004651482,0.057434417,0.0014323237,0.82684827,0.04132541,0.00013115097],"about_ca_topic_score_codex":0.0064705946,"about_ca_topic_score_gemma":0.005176404,"teacher_disagreement_score":0.99916846,"about_ca_system_score_codex":0.0022031225,"about_ca_system_score_gemma":0.0018771089,"threshold_uncertainty_score":0.015984833},"labels":[],"label_agreement":null},{"id":"W2809514800","doi":"10.5430/rwe.v9n1p77","title":"Solid Waste Generation in Europe: Study of Affecting Factors Using Panel Data","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Municipal Solid Waste Management","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":"Panel data; Municipal solid waste; Econometric model; Econometrics; Economics; Environmental science; Waste management; Engineering","score_opus":0.4208022736861541,"score_gpt":0.4459545880132341,"score_spread":0.02515231432708004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809514800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355376,0.0005402176,0.0026489368,0.000119377066,0.00001281454,0.0000134853635,0.0020938176,0.00001925489,0.0009984697],"genre_scores_gemma":[0.9932047,0.00047998127,0.0008746049,0.000030971438,0.0000149648295,0.000014951392,0.004802528,0.000007849071,0.00056952453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872285,0.0007653329,0.000071316565,0.00021457773,0.000090990856,0.00013498265],"domain_scores_gemma":[0.9951474,0.0035184193,0.0006205004,0.0003554293,0.00021899973,0.00013922859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025126536,0.00047463886,0.00067231595,0.0010355918,0.00026008647,0.001152314,0.00047036525,0.0008749106,0.0015489836],"category_scores_gemma":[0.0031130768,0.000279253,0.0014718055,0.0025711616,0.00024099993,0.0008930461,0.00070319563,0.0007647419,0.0002796457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005913867,0.000497343,0.84066117,0.00014906209,0.0017766549,0.0008049933,0.00030359856,0.13069941,0.0010469317,0.002587525,0.0015563581,0.019325634],"study_design_scores_gemma":[0.000038930903,0.0004551039,0.864216,0.00006543482,0.0008104961,0.00031950278,0.0009909886,0.1240068,0.0028801262,0.0014126004,0.004729562,0.00007442464],"about_ca_topic_score_codex":0.02366501,"about_ca_topic_score_gemma":0.015207798,"teacher_disagreement_score":0.02366501,"about_ca_system_score_codex":0.00058485335,"about_ca_system_score_gemma":0.00036186524,"threshold_uncertainty_score":0.04705453},"labels":[],"label_agreement":null},{"id":"W2900160741","doi":"10.5430/rwe.v9n2p1","title":"Formulation of Huge Lattice Spatial Adjacency Matrices With Non-rectangular Shape of Socio-economic Grid-Cell Data for the Analysis of Sustainable Economy With High Computational Efficiency","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Land Use and Ecosystem Services","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":"Japan Society for the Promotion of Science","keywords":"Adjacency matrix; Grid; Adjacency list; Computer science; Spatial analysis; Shapefile; Data mining; Algorithm; Theoretical computer science; Mathematics; Geometry; Statistics","score_opus":0.02549431963446791,"score_gpt":0.29374563012030386,"score_spread":0.26825131048583595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900160741","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":[0.0057545304,0.00009130628,0.9907472,0.00017434545,0.000052800897,0.00004493111,0.0006297887,0.00033367757,0.0021714314],"genre_scores_gemma":[0.16157477,0.00041682174,0.8276908,0.00023562033,0.00010559302,0.0005311341,0.003662596,0.00037993642,0.0054028267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993223,0.00020160004,0.00004043761,0.00013617479,0.00022853145,0.00007109825],"domain_scores_gemma":[0.99872285,0.00062336616,0.000083745355,0.00017176157,0.00032868562,0.00006954716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006492253,0.00073365186,0.00070033927,0.000790625,0.00056380243,0.0015358572,0.0012966916,0.0007547638,0.0067764204],"category_scores_gemma":[0.0032527107,0.00047036057,0.0014164102,0.0012287531,0.000556777,0.001621898,0.0017725662,0.0016901055,0.0017181729],"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":[0.000051709947,0.00007995318,0.0029560232,0.00031610366,0.00007438439,0.0005057873,0.000258403,0.7439335,0.0042020692,0.14657481,0.014391353,0.086655915],"study_design_scores_gemma":[0.0000066953357,0.000009728585,0.00014512126,0.000009266717,0.000004966212,0.00006028021,0.00006628667,0.9671164,0.0004980159,0.027647443,0.004425172,0.000010580177],"about_ca_topic_score_codex":0.012442016,"about_ca_topic_score_gemma":0.016772926,"teacher_disagreement_score":0.012442016,"about_ca_system_score_codex":0.0006087553,"about_ca_system_score_gemma":0.0015028636,"threshold_uncertainty_score":0.024739206},"labels":[],"label_agreement":null},{"id":"W2900413716","doi":"10.5430/rwe.v9n2p12","title":"Testing Profit and Loss Sharing to Stabilise Level of Inflation: Evidence From Indonesia","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","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":"Economics; Proxy (statistics); Inflation (cosmology); Profit sharing; Real interest rate; Econometrics; Monetary economics; Profit (economics); Interest rate; Statistics; Finance; Mathematics; Microeconomics","score_opus":0.27490578392707166,"score_gpt":0.3643318695407358,"score_spread":0.08942608561366416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900413716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918622,0.0008994708,0.00050519657,0.0006395205,0.000024059851,0.00001743353,0.00017998193,0.0000094458055,0.005862812],"genre_scores_gemma":[0.99918777,0.00026632578,0.00010916018,0.00004285718,0.000009597896,0.000004006848,0.000101743055,0.0000020178504,0.00027645341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844176,0.0006462794,0.00015694722,0.00023206449,0.00034872937,0.00017421486],"domain_scores_gemma":[0.98657286,0.0065191844,0.0046034143,0.00060308585,0.0010553885,0.0006459618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028080894,0.00028215672,0.0005169853,0.0003749927,0.00038779687,0.0012981762,0.0004636534,0.00045657653,0.0018451018],"category_scores_gemma":[0.008531648,0.00016692902,0.00060557824,0.0006163861,0.0008865589,0.0010534965,0.00090019533,0.0014030293,0.0004870145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013183937,0.0010628422,0.9365746,0.00032809496,0.0006045258,0.00077562337,0.0012802541,0.0029561203,0.0008789417,0.0027209835,0.0010658752,0.05043375],"study_design_scores_gemma":[0.00008867071,0.0012801449,0.98067594,0.00017032238,0.0006299994,0.00020675904,0.0036419588,0.006595113,0.0017701633,0.0018071566,0.0030964015,0.000037474285],"about_ca_topic_score_codex":0.0054229964,"about_ca_topic_score_gemma":0.0045417524,"teacher_disagreement_score":0.0054229964,"about_ca_system_score_codex":0.0004633947,"about_ca_system_score_gemma":0.00080439897,"threshold_uncertainty_score":0.014850795},"labels":[],"label_agreement":null},{"id":"W2903847860","doi":"10.5430/rwe.v9n2p24","title":"A Survey-Based Qualitative Analysis of the Institutional Structures and Policy Measures in the Shea Sector of Ghana","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"African Botany and Ecology Studies","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":"Volkswagen Foundation","keywords":"Poverty; Business; Empowerment; Psychological intervention; Economic growth; State (computer science); Socioeconomics; Economics","score_opus":0.1942370169567912,"score_gpt":0.39903854423992247,"score_spread":0.20480152728313128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903847860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954426,0.00014921941,0.00054443185,0.00090807636,0.000009160311,0.00018524242,0.00024796926,0.000003344963,0.002509901],"genre_scores_gemma":[0.997465,0.00034696196,0.00046362562,0.00024401315,0.0000040260097,0.00024262088,0.000104386374,0.000004510779,0.0011248577],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9964049,0.002553753,0.0001056526,0.00013607462,0.00019385158,0.0006059009],"domain_scores_gemma":[0.9922083,0.005196709,0.0011193128,0.00017882754,0.0007192009,0.0005777872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005319772,0.00025194784,0.00029489133,0.0013294491,0.0042873467,0.0020964295,0.0007276031,0.00081857643,0.0029677842],"category_scores_gemma":[0.008274888,0.00042127137,0.00016424888,0.0025013052,0.0050142556,0.0023612597,0.0020577984,0.0011008327,0.00021990704],"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":[0.00004476167,0.00007066743,0.030100064,0.00017761099,0.0000031297996,0.00059464126,0.96069145,0.00008029234,0.00093987485,0.0016589359,0.00049234624,0.005146221],"study_design_scores_gemma":[0.0000020982336,0.000028881535,0.010052681,0.000060528055,8.919287e-7,0.000047335525,0.987363,0.000042974512,0.00008029132,0.00010276793,0.0022150008,0.0000035474095],"about_ca_topic_score_codex":0.020031681,"about_ca_topic_score_gemma":0.03420667,"teacher_disagreement_score":0.020031681,"about_ca_system_score_codex":0.0066348054,"about_ca_system_score_gemma":0.003931999,"threshold_uncertainty_score":0.048139095},"labels":[],"label_agreement":null},{"id":"W2906030078","doi":"10.5430/rwe.v9n2p38","title":"Role of State in the Evolution and Success of Commercial Banks in China","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","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":"China; Commercial bank; Business; State (computer science); State owned; Financial system; Commercial banking; Competitive advantage; Banking industry; Market economy; Finance; Economics; Marketing; Political science","score_opus":0.04061913627752241,"score_gpt":0.3106472451945554,"score_spread":0.270028108917033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906030078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965442,0.00017530353,0.00008571751,0.00034209338,0.0000026373207,0.0000040555997,0.000041126616,0.0000037943785,0.0028010714],"genre_scores_gemma":[0.9996439,0.00004901776,0.000012016763,0.000011112725,0.0000019003438,7.82657e-7,0.000012097829,3.9134102e-7,0.00026884183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939966,0.00010989201,0.000048578386,0.000100906946,0.00010904358,0.00023189181],"domain_scores_gemma":[0.99741334,0.00045308043,0.0010439088,0.00011241565,0.0005313374,0.0004458477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012453995,0.000073796466,0.00020144794,0.0013043078,0.0009121908,0.0016489075,0.00025421457,0.00034395634,0.0017363828],"category_scores_gemma":[0.0024779236,0.000095744945,0.00017418936,0.001503487,0.0013634748,0.0007075156,0.0008412556,0.00041487653,0.00008903796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101937214,0.00005240037,0.96133035,0.000018179891,0.000037248432,0.00026242423,0.002525286,0.0015833151,0.0006096817,0.016364899,0.0006712287,0.016443033],"study_design_scores_gemma":[0.0000068935287,0.000042738877,0.9905695,0.000016280494,0.000024916864,0.000049885293,0.001734164,0.003008573,0.0002583294,0.0022729402,0.0020015957,0.000014167256],"about_ca_topic_score_codex":0.0372904,"about_ca_topic_score_gemma":0.048173912,"teacher_disagreement_score":0.0372904,"about_ca_system_score_codex":0.0028294686,"about_ca_system_score_gemma":0.0022635993,"threshold_uncertainty_score":0.07414669},"labels":[],"label_agreement":null},{"id":"W2907398042","doi":"10.5430/rwe.v9n2p44","title":"Adoption of International Public Sector Accounting Standards in Public Sector of Developing Economies -Analysis of Five South Asian Countries","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Public Policy and Administration Research","field":"Social Sciences","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; Public sector; Business; Developing country; South asia; Economics; Economic growth; Economy; Sociology","score_opus":0.14790828668102804,"score_gpt":0.4363389643650499,"score_spread":0.28843067768402186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907398042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871397,0.00015089478,0.000029662802,0.000061356695,0.0000014248183,0.0000067867722,0.00011893229,9.5003287e-7,0.00091597106],"genre_scores_gemma":[0.9995492,0.00019514718,0.000042632906,0.000009501444,7.0896544e-7,0.000004631531,0.00010974235,6.2838296e-7,0.000087650486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928963,0.00020009636,0.00014102431,0.000061026058,0.00014306817,0.00016510258],"domain_scores_gemma":[0.9958812,0.0008288145,0.002061106,0.0001802501,0.0007668345,0.00028192622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019176586,0.00025468643,0.00023169725,0.0022819887,0.000496655,0.0013374393,0.00028707186,0.00018509422,0.000985944],"category_scores_gemma":[0.0030328366,0.00020104635,0.00041678303,0.003956129,0.00064947904,0.0007801388,0.0009302128,0.00038002146,0.000095500385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032316246,0.000021660997,0.9887632,0.00009199275,0.00003800619,0.00023665641,0.0043879296,0.000116020106,0.00020273362,0.00058724184,0.000104389175,0.005417706],"study_design_scores_gemma":[0.0000017544492,0.00003503298,0.9849148,0.000056967972,0.000026670627,0.00011408703,0.013635262,0.00011010656,0.00017819351,0.000048638798,0.0008740114,0.000004442663],"about_ca_topic_score_codex":0.016819756,"about_ca_topic_score_gemma":0.01997092,"teacher_disagreement_score":0.016819756,"about_ca_system_score_codex":0.0011129152,"about_ca_system_score_gemma":0.0017502959,"threshold_uncertainty_score":0.03344369},"labels":[],"label_agreement":null},{"id":"W2949792962","doi":"10.5430/rwe.v10n1p31","title":"Political Budget Cycles: The Case of Gabon","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Estimation; Economics; Business cycle; Deficit spending; Dimension (graph theory); State (computer science); Politics; Macroeconomics; Capital (architecture); Fiscal policy; Error correction model; Vector autoregression; Econometrics; Political science; Cointegration; Geography","score_opus":0.07844027050688951,"score_gpt":0.3419250224008221,"score_spread":0.2634847518939326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949792962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573476,0.004528436,0.0012073169,0.0026540272,0.000026715185,0.000037382655,0.000145162,0.000022132548,0.03403123],"genre_scores_gemma":[0.9933108,0.0015360726,0.00054419204,0.0001486476,0.0000105824065,0.000015807562,0.00006295167,0.000009609338,0.004361446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99959093,0.00013983068,0.000010780023,0.000031063486,0.000026812486,0.00020065285],"domain_scores_gemma":[0.99952483,0.00014704844,0.0001745664,0.00003430431,0.000056069854,0.0000631597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009446146,0.00041561638,0.0004501332,0.001473724,0.0027752342,0.0035492443,0.00048255135,0.0010973043,0.002992799],"category_scores_gemma":[0.002242678,0.0002658721,0.00037189084,0.0016860956,0.0014553596,0.0017485531,0.001400519,0.0008402747,0.00019597885],"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":[0.0006020462,0.00009149504,0.04337455,0.00025277294,0.000115382616,0.0049460577,0.008995221,0.021967787,0.00088676275,0.8814532,0.0030860724,0.034228522],"study_design_scores_gemma":[0.0009703458,0.00047619597,0.18726075,0.0020128132,0.0006675455,0.00289408,0.032560907,0.14206578,0.0026007912,0.36849993,0.25960192,0.00038889505],"about_ca_topic_score_codex":0.19738846,"about_ca_topic_score_gemma":0.22767898,"teacher_disagreement_score":0.19738846,"about_ca_system_score_codex":0.00537604,"about_ca_system_score_gemma":0.0025104962,"threshold_uncertainty_score":0.39247906},"labels":[],"label_agreement":null},{"id":"W2951657951","doi":"10.5430/rwe.v10n1p17","title":"Revised Malaysian Shariah Screening: Its Impact on Islamic Capital Market","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Commission; Islamic finance; Business; Index (typography); Accounting; Capital market; Islam; Stock (firearms); Stock market index; Finance; Stock market; Engineering","score_opus":0.038134087067458945,"score_gpt":0.3150629956942738,"score_spread":0.27692890862681485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951657951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701948,0.00051094644,0.0051499973,0.0015991252,0.00017993385,0.00027076935,0.0011671252,0.00014178621,0.020785498],"genre_scores_gemma":[0.99343276,0.00019901525,0.0034366788,0.00015690357,0.000088738576,0.00005104894,0.0005862281,0.000013134743,0.002035556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98977846,0.0033529622,0.0007685624,0.00047872137,0.005149118,0.0004721567],"domain_scores_gemma":[0.95651776,0.01445243,0.014968917,0.0021629846,0.010972811,0.0009250393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011735025,0.0003951732,0.0003645044,0.002563514,0.00035406437,0.0022358394,0.00055228465,0.00049554824,0.0024337128],"category_scores_gemma":[0.033905856,0.0001739381,0.00046218574,0.0019675668,0.0006504401,0.001492543,0.0010607066,0.0006454305,0.00044713658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010798244,0.000470512,0.7378031,0.00045309842,0.00019696503,0.00081587204,0.0017970355,0.007762153,0.003961706,0.009596903,0.010146678,0.22591616],"study_design_scores_gemma":[0.000064700376,0.0008866239,0.95623076,0.00013960122,0.00012825284,0.0002651304,0.0013235015,0.022300683,0.005904347,0.0021600795,0.010503385,0.00009283754],"about_ca_topic_score_codex":0.006674291,"about_ca_topic_score_gemma":0.0057263603,"teacher_disagreement_score":0.011735025,"about_ca_system_score_codex":0.0013323931,"about_ca_system_score_gemma":0.0020309957,"threshold_uncertainty_score":0.06206149},"labels":[],"label_agreement":null},{"id":"W2951692949","doi":"10.5430/rwe.v10n1p54","title":"Factors Affecting the Income of Vietnamese Peasants: A Case in Tra Vinh Province","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agricultural Systems and Practices","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":"Trường Đại học Trà Vinh","keywords":"Vietnamese; Agriculture; Livestock; Geography; Dependency (UML); Vocational education; Socioeconomics; Economic growth; Agricultural economics; Economics; Forestry","score_opus":0.0993738311789943,"score_gpt":0.3327462426627499,"score_spread":0.2333724114837556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951692949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934274,0.00005536369,0.00002794421,0.000088031426,0.0000015150024,0.000010951243,0.000038015176,5.061987e-7,0.0004347919],"genre_scores_gemma":[0.9990771,0.00022453583,0.00006138696,0.000025302523,0.0000028364204,0.0000087766175,0.00005783774,8.2573365e-7,0.0005414556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961084,0.0000942239,0.000016569038,0.000039937797,0.00004465107,0.00019371841],"domain_scores_gemma":[0.99937075,0.00015317056,0.00014963947,0.000030571653,0.00009333512,0.00020263316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040099642,0.00032412115,0.00024662053,0.0012182734,0.002364344,0.00070477126,0.0005886276,0.00041874818,0.0016902495],"category_scores_gemma":[0.0009818209,0.00036477036,0.00033829003,0.0018922754,0.00081561075,0.00040877506,0.00070052815,0.00059521693,0.00012123086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014120594,0.0005724142,0.86955494,0.00012795335,0.00005628603,0.08762351,0.029638289,0.00044755978,0.0009407003,0.0007502142,0.0009540028,0.00919293],"study_design_scores_gemma":[0.00001748119,0.0002537314,0.80724525,0.000082323015,0.000043194214,0.014732226,0.17374597,0.00096560566,0.00035621994,0.00021723777,0.0023084066,0.00003231175],"about_ca_topic_score_codex":0.23459971,"about_ca_topic_score_gemma":0.33875927,"teacher_disagreement_score":0.23459971,"about_ca_system_score_codex":0.0036099416,"about_ca_system_score_gemma":0.0019553795,"threshold_uncertainty_score":0.4664684},"labels":[],"label_agreement":null},{"id":"W2952238160","doi":"10.5430/rwe.v10n1p1","title":"Economic Shocks and the Growth of the Construction Industry in Ghana Over the 50-Year Period From 1968 to 2017","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Economics; Depreciation (economics); Shock (circulatory); Currency; Exchange rate; Government (linguistics); Demographic economics; Monetary economics; Development economics; Economic growth; Human capital","score_opus":0.0325728644869171,"score_gpt":0.26917512852026404,"score_spread":0.23660226403334694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952238160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801517,0.00029057232,0.00010916672,0.00013300072,0.000009798589,0.0000061911655,0.0009088135,0.000004804041,0.0005225869],"genre_scores_gemma":[0.99789643,0.000505708,0.000061732295,0.0000148369445,0.000014903427,0.00000565413,0.0011891734,0.0000015182513,0.0003101563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998553,0.00002144351,0.000020042578,0.000025063142,0.000024811814,0.000053353324],"domain_scores_gemma":[0.99885106,0.00016544078,0.0007610965,0.000024071249,0.00009836878,0.00009995407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024367643,0.00026035716,0.00019523581,0.0009811607,0.00022215504,0.0007249753,0.0001520394,0.00032513472,0.0011431266],"category_scores_gemma":[0.001161051,0.00011220917,0.00023763753,0.0020275821,0.00033089734,0.0005136802,0.000481515,0.0004816736,0.0002544772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009021945,0.000031009215,0.9930628,0.000025517093,0.000036906375,0.00033201993,0.0003831494,0.0014136008,0.0001961185,0.00019760542,0.000371353,0.0038596322],"study_design_scores_gemma":[0.0000022708164,0.000040287436,0.99631965,0.00002014563,0.000014274959,0.00009342727,0.00095590175,0.0011608991,0.00014992856,0.00007693118,0.0011619036,0.000004295523],"about_ca_topic_score_codex":0.043876432,"about_ca_topic_score_gemma":0.052099384,"teacher_disagreement_score":0.043876432,"about_ca_system_score_codex":0.0010744542,"about_ca_system_score_gemma":0.00064048904,"threshold_uncertainty_score":0.08724213},"labels":[],"label_agreement":null},{"id":"W2954084903","doi":"10.5430/rwe.v10n1p60","title":"The Role of the International Monetary Fund After the 2008 Crisis","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Currency; Exchange rate; China; Business; Foreign exchange market; Financial system; Financial crisis; Economics; Corporate governance; International economics; Finance; Monetary economics; Political science; Macroeconomics","score_opus":0.044921028469060584,"score_gpt":0.2871937208458843,"score_spread":0.2422726923768237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954084903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8838547,0.011312496,0.0009384844,0.021912321,0.00075886236,0.00003290443,0.00069326157,0.00007318849,0.08042374],"genre_scores_gemma":[0.9935429,0.001641355,0.0002148778,0.0003906141,0.00023923689,0.000014268882,0.00018222361,0.000020669946,0.0037538703],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990695,0.00022156676,0.00007159514,0.00012235426,0.00023511931,0.0002798693],"domain_scores_gemma":[0.99517256,0.0007121485,0.0024792291,0.00017060833,0.00092541974,0.00054007774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031862615,0.0003098436,0.00037129817,0.0021933205,0.0009043734,0.007092378,0.0005110959,0.0018948773,0.0023853227],"category_scores_gemma":[0.015101091,0.00012156819,0.00022499076,0.002055393,0.0012608166,0.0033933518,0.0013974573,0.0016671657,0.0006316891],"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":[0.0030273795,0.00032094924,0.3874529,0.0006119372,0.00022252949,0.0047265925,0.012181645,0.0074121784,0.0027467893,0.262848,0.049356133,0.26909295],"study_design_scores_gemma":[0.000116725154,0.00032457436,0.6978186,0.0007809425,0.00013649026,0.0012127921,0.0136732,0.004952244,0.0016678087,0.020183695,0.2590296,0.000103355465],"about_ca_topic_score_codex":0.0060884254,"about_ca_topic_score_gemma":0.0033621981,"teacher_disagreement_score":0.007092378,"about_ca_system_score_codex":0.0031819767,"about_ca_system_score_gemma":0.0019985703,"threshold_uncertainty_score":0.023086965},"labels":[],"label_agreement":null},{"id":"W2954537103","doi":"10.5430/rwe.v10n1p72","title":"The Empirical Evaluation of the Determinants of Industrial Manufacturing in the CEMAC Zone","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"Per capita; Economics; Econometrics; Manufacturing; Gravity model of trade; Population; Hausman test; Value (mathematics); Economic geography; Panel data; International economics; Fixed effects model; Business; Statistics; Mathematics","score_opus":0.5628494320895701,"score_gpt":0.39961873361498323,"score_spread":0.16323069847458682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954537103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964036,0.00037957073,0.00021291134,0.00017991742,0.0000036110246,0.0000055904543,0.00027681145,0.000007834367,0.0025302218],"genre_scores_gemma":[0.9992785,0.00014571827,0.00009065152,0.0000062676495,0.000005668163,0.0000025519919,0.00021331501,0.000001329451,0.00025595166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993512,0.00029564672,0.000022667318,0.00007217502,0.00010104321,0.00015732723],"domain_scores_gemma":[0.99819,0.00091281056,0.00042092745,0.0001323921,0.00015728835,0.0001866629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080771826,0.00021900373,0.00030453605,0.0016980012,0.000528221,0.0014914222,0.00036945136,0.00030653286,0.0042155418],"category_scores_gemma":[0.003457762,0.00015190247,0.0002860664,0.0032215149,0.00067831395,0.00044790574,0.00093360734,0.00055509596,0.0003883916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110203415,0.00006751038,0.9765327,0.0000480819,0.00009615459,0.0004022778,0.0006624557,0.006110716,0.00044970514,0.0057517346,0.0004685787,0.009299872],"study_design_scores_gemma":[0.000007065005,0.000037317,0.9922488,0.000018918045,0.000028296185,0.00007686626,0.0019820528,0.0033903378,0.00020810793,0.0003903027,0.0016046368,0.0000073547008],"about_ca_topic_score_codex":0.031996198,"about_ca_topic_score_gemma":0.024868343,"teacher_disagreement_score":0.031996198,"about_ca_system_score_codex":0.0008336985,"about_ca_system_score_gemma":0.00066326326,"threshold_uncertainty_score":0.06361991},"labels":[],"label_agreement":null},{"id":"W2954912190","doi":"10.5430/rwe.v10n1p80","title":"Government Sectoral Expenditure and Poverty Alleviation in Nigeria","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","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":"Poverty; Government (linguistics); Economic growth; Economics; Development economics; Population; Basic needs; Developing country; Agriculture; Extreme poverty; Millennium Development Goals; Government expenditure; Socioeconomics; Geography; Public finance; Medicine; Environmental health","score_opus":0.05913609963160694,"score_gpt":0.28837334165240763,"score_spread":0.2292372420208007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954912190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809507,0.0023048779,0.000075230164,0.0016702827,0.000023198467,0.000007689666,0.0004519741,0.0000034404745,0.014512636],"genre_scores_gemma":[0.99683386,0.0019153703,0.00004088875,0.000046956775,0.00000798938,0.000003571198,0.00011579187,0.0000013263682,0.0010342009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978477,0.00007118524,0.000015895865,0.000012194757,0.00003595149,0.00007999977],"domain_scores_gemma":[0.9986921,0.00029391955,0.0007151719,0.000028622962,0.00013812212,0.0001320974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003080545,0.00009380062,0.00010572113,0.0009152405,0.00034726685,0.0010807929,0.000095550306,0.00018533597,0.0021407625],"category_scores_gemma":[0.0017432792,0.00007691179,0.00008833921,0.001907347,0.0003235987,0.00042274213,0.00047118403,0.00033532968,0.00019003262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020107877,0.00015899149,0.93332326,0.00022762947,0.00005343608,0.00095906365,0.0018835918,0.002860795,0.00029713463,0.023611477,0.004445552,0.031977896],"study_design_scores_gemma":[0.000012306648,0.00007400012,0.9615058,0.0005200113,0.00004952079,0.00046513445,0.01146349,0.0027871188,0.00029918365,0.003677196,0.0191331,0.0000131066945],"about_ca_topic_score_codex":0.017267464,"about_ca_topic_score_gemma":0.024850722,"teacher_disagreement_score":0.017267464,"about_ca_system_score_codex":0.0012012824,"about_ca_system_score_gemma":0.0012897821,"threshold_uncertainty_score":0.034333944},"labels":[],"label_agreement":null},{"id":"W2955046357","doi":"10.5430/rwe.v10n1p91","title":"Ownership Reform, State Ownership, Corporate Governance, and Agency Costs: The Case of Chinese Listed Companies","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Corporate governance; Agency cost; State ownership; Business; Agency (philosophy); Accounting; Principal–agent problem; Panel data; State (computer science); Debt; Emerging markets; Finance; Economics; Shareholder","score_opus":0.06650929677089713,"score_gpt":0.2886025389385395,"score_spread":0.22209324216764237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955046357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982589,0.0001468825,0.00004347059,0.0003079167,9.534966e-7,0.000008895151,0.000015339541,6.6904266e-7,0.0012170104],"genre_scores_gemma":[0.99962246,0.000112651425,0.000019434992,0.000019150986,0.0000018922734,0.000003048552,0.000016162729,1.8264937e-7,0.00020496838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993519,0.00012378771,0.00003580296,0.000053796346,0.0000978909,0.00033675155],"domain_scores_gemma":[0.9968585,0.00077129924,0.0016325244,0.00014262786,0.0002308579,0.00036418176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011233526,0.0001986945,0.00035636182,0.0013794592,0.001688191,0.002103312,0.0005596925,0.00086949544,0.0022438874],"category_scores_gemma":[0.002524764,0.00013734115,0.00037366166,0.0016599274,0.002122233,0.0015927902,0.0014111625,0.00079440593,0.00005584375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019524994,0.00039234187,0.920842,0.00010070812,0.00014205047,0.00472304,0.01135823,0.005410357,0.00083874795,0.03826781,0.0007361238,0.01699342],"study_design_scores_gemma":[0.000080426886,0.00014419203,0.95300776,0.000082046805,0.00021556772,0.0004173716,0.022832442,0.013176751,0.0006951011,0.006336082,0.0029684515,0.00004373318],"about_ca_topic_score_codex":0.20683572,"about_ca_topic_score_gemma":0.21346328,"teacher_disagreement_score":0.20683572,"about_ca_system_score_codex":0.007585418,"about_ca_system_score_gemma":0.0038347307,"threshold_uncertainty_score":0.41126359},"labels":[],"label_agreement":null},{"id":"W2956199303","doi":"10.5430/rwe.v10n2p84","title":"The Application of Shariah Principle in E-commerce Transaction: A Model Development","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Malaysia Kelantan","keywords":"Database transaction; Scope (computer science); E-commerce; Purchasing; Business; The Internet; Payment; Commerce; Mode (computer interface); Islam; Component (thermodynamics); Industrial organization; Accounting; Computer science; Marketing; Finance; Database; World Wide Web","score_opus":0.05339552694675392,"score_gpt":0.31553917967623346,"score_spread":0.26214365272947954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956199303","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":[0.08060375,0.0019005864,0.6240437,0.008131607,0.00021726191,0.0006760418,0.00042124672,0.00017501267,0.28383082],"genre_scores_gemma":[0.8346377,0.0022222907,0.14418416,0.00036039343,0.000105040024,0.00072943483,0.00025017967,0.00003049219,0.017480396],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99940336,0.00028518063,0.000035925816,0.000082938976,0.00013593488,0.00005657554],"domain_scores_gemma":[0.99898154,0.0006568816,0.00009226282,0.000063976215,0.00016348292,0.00004172718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013687636,0.00036433453,0.00032692787,0.0011097023,0.0008627754,0.0028436494,0.001351108,0.0014928863,0.005673057],"category_scores_gemma":[0.0018432793,0.00025203577,0.00072429236,0.0014996564,0.0019202873,0.0041002855,0.0013769437,0.0014162213,0.00092223205],"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":[0.000023793571,0.00008189637,0.0018984097,0.000084542306,0.000011097714,0.00028259677,0.0009862811,0.015868835,0.0002321487,0.9641961,0.0011972721,0.015136908],"study_design_scores_gemma":[0.00005456303,0.00017972269,0.002542855,0.0003224951,0.000050686776,0.00053428515,0.0018710995,0.33915395,0.00059359724,0.61598253,0.038665894,0.000048279577],"about_ca_topic_score_codex":0.003944935,"about_ca_topic_score_gemma":0.0025741654,"teacher_disagreement_score":0.005673057,"about_ca_system_score_codex":0.0014817676,"about_ca_system_score_gemma":0.0021969143,"threshold_uncertainty_score":0.018978238},"labels":[],"label_agreement":null},{"id":"W2956906557","doi":"10.5430/rwe.v10n2p136","title":"Country Governance, Market Concentration and Financial Market Dynamics for Banks Stability in Pakistan","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Islamic Finance and Banking Studies","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":"Corporate governance; Financial system; Financial market; Language change; Business; Economics; Capital market; Market concentration; Market risk; Monetary economics; Finance; Market structure","score_opus":0.019044734729966702,"score_gpt":0.2860451396672704,"score_spread":0.2670004049373037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956906557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99444556,0.0001929552,0.00019978569,0.00037204832,0.000005513803,0.000008354817,0.0001568734,0.000004519374,0.0046141557],"genre_scores_gemma":[0.99966824,0.000058676167,0.000028405051,0.000010505981,0.000003865251,9.895982e-7,0.000043932298,4.702714e-7,0.00018490087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976224,0.000054998793,0.000020557172,0.000039933595,0.00004985534,0.00007248875],"domain_scores_gemma":[0.9972248,0.0005465505,0.0014433538,0.00007515718,0.00037556683,0.00033468305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005384881,0.0000968522,0.00012137568,0.0006543027,0.00040258057,0.0012204325,0.00012650003,0.00018990002,0.004057092],"category_scores_gemma":[0.0020400253,0.00008790889,0.00015103877,0.0008877783,0.00041633175,0.00079406874,0.00038961854,0.00029931485,0.00024430407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003075519,0.00004218749,0.9904447,0.000011320269,0.00002282957,0.00014004532,0.00043842974,0.00046563838,0.00010060254,0.0011980128,0.0006688699,0.006436684],"study_design_scores_gemma":[0.0000030495992,0.000040086896,0.9957787,0.000016184049,0.00001454372,0.000066191475,0.0011378374,0.0014350353,0.00009061246,0.00044154545,0.0009713472,0.0000048027564],"about_ca_topic_score_codex":0.014965673,"about_ca_topic_score_gemma":0.016899917,"teacher_disagreement_score":0.014965673,"about_ca_system_score_codex":0.00060827244,"about_ca_system_score_gemma":0.000908839,"threshold_uncertainty_score":0.029757142},"labels":[],"label_agreement":null},{"id":"W2957235592","doi":"10.5430/rwe.v10n2p88","title":"Influence of Marketing Mix Strategy in Insurance Business: The Case of Kota Bharu","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Marketing; Promotion (chess); Customer satisfaction; Population; Product (mathematics); Business administration; Mathematics; Medicine","score_opus":0.03165685762654763,"score_gpt":0.29058045614745265,"score_spread":0.258923598520905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957235592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977168,0.000050505285,0.000024528545,0.00018242093,0.0000014233752,0.0000054726775,0.0000075441812,0.0000013592903,0.0020099408],"genre_scores_gemma":[0.9992893,0.000068468435,0.00002856937,0.000024789988,0.0000014959004,0.000002026605,0.0000066878765,0.0000013117917,0.00057726033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994862,0.00022013923,0.000011433189,0.00003330478,0.000068482914,0.00018033417],"domain_scores_gemma":[0.9982028,0.0006576355,0.00029842576,0.000027079916,0.00014347232,0.0006705364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006436779,0.00021505602,0.00015235142,0.0011110404,0.0028398335,0.0024380498,0.0005021122,0.00071644504,0.005183921],"category_scores_gemma":[0.0011933021,0.00016288576,0.00025217157,0.00085822854,0.00091511005,0.0011822534,0.0010848023,0.00092209625,0.00043533268],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057306304,0.0019197249,0.8210696,0.00016381728,0.00009220586,0.03000257,0.09289888,0.0022320845,0.005790589,0.008881126,0.002612021,0.03376441],"study_design_scores_gemma":[0.000022357915,0.00047449145,0.6785764,0.000114550654,0.00006725248,0.0028107823,0.3014329,0.007940423,0.0009394833,0.0007355238,0.0068332865,0.000052499654],"about_ca_topic_score_codex":0.03833859,"about_ca_topic_score_gemma":0.07300226,"teacher_disagreement_score":0.03833859,"about_ca_system_score_codex":0.003564219,"about_ca_system_score_gemma":0.0019208658,"threshold_uncertainty_score":0.07623088},"labels":[],"label_agreement":null},{"id":"W2957270563","doi":"10.5430/rwe.v10n2p38","title":"Environmental Factor, Education &amp; Training and PPE Impact on Safety Performance: A Study Among Construction Workers at SESCO Sub-station, Balingian, Sarawak","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Occupational safety and health; Descriptive statistics; Operations management; Personal protective equipment; Business; Environmental health; Work (physics); Engineering; Medicine; Statistics; Mathematics","score_opus":0.11150612595980249,"score_gpt":0.4731314768739084,"score_spread":0.3616253509141059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957270563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998672,0.000015486265,0.000008314837,0.000010407322,5.224651e-7,0.0000027510466,0.000010846515,1.8910598e-7,0.00008421547],"genre_scores_gemma":[0.99953735,0.000060824263,0.000032781736,0.00001509749,0.0000018051786,0.0000054298484,0.00002720162,3.9016354e-7,0.00031924393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970347,0.00006711869,0.000029208895,0.00003856655,0.00007032691,0.00009136712],"domain_scores_gemma":[0.9991555,0.0001975426,0.00025539714,0.000036675705,0.00013584287,0.0002191144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095238,0.0002806746,0.0001884897,0.00047168077,0.0007160549,0.0004158429,0.00021620344,0.0003271333,0.0015314012],"category_scores_gemma":[0.0007269217,0.00023286461,0.0002565007,0.0005204969,0.00040577585,0.00022370114,0.00040176013,0.0003676763,0.00028561594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004524702,0.0002691681,0.9933697,0.000025076535,0.000012760768,0.00018307699,0.0027555902,0.000027583823,0.0007001332,0.000012565482,0.000050980605,0.0025480727],"study_design_scores_gemma":[0.0000017185874,0.00033969575,0.99313813,0.000010727772,0.000009044395,0.000116626186,0.006045002,0.00004965133,0.000113770475,0.0000061001656,0.00016620783,0.000003252153],"about_ca_topic_score_codex":0.018359588,"about_ca_topic_score_gemma":0.047096994,"teacher_disagreement_score":0.018359588,"about_ca_system_score_codex":0.00046486352,"about_ca_system_score_gemma":0.000946126,"threshold_uncertainty_score":0.03650546},"labels":[],"label_agreement":null},{"id":"W2957905264","doi":"10.5430/rwe.v10n2p74","title":"Intention to Use Cloud Accounting System Among SMEs in Malaysia: A Conceptual Framework of a Modified Unified Theory of Acceptance and Use of Technology (UTAUT) Model","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","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":"Unified theory of acceptance and use of technology; Expectancy theory; Conceptual model; Conceptual framework; Cloud computing; Knowledge management; Accounting information system; Management accounting; Accounting; Business; Marketing; Computer science; Economics; Sociology; Management; Social science","score_opus":0.17414252922714826,"score_gpt":0.39355390938690216,"score_spread":0.2194113801597539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957905264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98912686,0.000146405,0.0036568297,0.00091171387,0.000006188034,0.00006733155,0.0000510398,0.0000117481795,0.0060219704],"genre_scores_gemma":[0.9990637,0.00007057447,0.0006210083,0.000022070935,0.0000012126969,0.00001939971,0.000012050242,8.930847e-7,0.00018928252],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985171,0.00070628384,0.00013486735,0.00013976534,0.00025353458,0.0002484978],"domain_scores_gemma":[0.9954228,0.0024921964,0.0011085637,0.00013709975,0.00051367347,0.00032563656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018549027,0.0003492015,0.00024912253,0.0011446467,0.0005463538,0.0019375714,0.00041803328,0.0009251751,0.001620589],"category_scores_gemma":[0.004502768,0.0002629599,0.00046274517,0.00063360174,0.0015501804,0.0016825085,0.0010366939,0.00083485834,0.0001555497],"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":[0.00009804091,0.0005960929,0.85068136,0.00030346654,0.00011884635,0.0011979602,0.064116165,0.0037903762,0.002393551,0.036708165,0.0007592835,0.039236706],"study_design_scores_gemma":[0.0000403166,0.0008321586,0.7854815,0.0010111191,0.00020326444,0.0013801235,0.12230963,0.06359639,0.0017304816,0.016195988,0.0070591224,0.00015989137],"about_ca_topic_score_codex":0.0066436613,"about_ca_topic_score_gemma":0.006690515,"teacher_disagreement_score":0.0066436613,"about_ca_system_score_codex":0.0014204193,"about_ca_system_score_gemma":0.0021144424,"threshold_uncertainty_score":0.013209939},"labels":[],"label_agreement":null},{"id":"W2958443075","doi":"10.5430/rwe.v10n2p117","title":"The Challenges of Implementing Information and Communications Technology (ICT) Based Online Learning in Chinese Independent High Schools (CIHS) in Malaysia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Online and Blended Learning","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":"Information and Communications Technology; Syllabus; The Internet; Process (computing); Mathematics education; Psychology; Reliability (semiconductor); Medical education; Pedagogy; Computer science; Medicine; World Wide Web","score_opus":0.045367609052860365,"score_gpt":0.3914002827143545,"score_spread":0.34603267366149415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958443075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880517,0.000091225134,0.00003948472,0.00028680952,0.0000027099811,0.000015797574,0.000010290467,0.0000020565315,0.0007464487],"genre_scores_gemma":[0.9987987,0.00019533643,0.00020235173,0.00008075375,0.0000018403874,0.000013562462,0.000012855949,0.0000012304132,0.00069345767],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9981134,0.0005050655,0.0001984122,0.00017865316,0.00042131683,0.0005831459],"domain_scores_gemma":[0.995089,0.0009041962,0.0014331732,0.00015121259,0.0006669394,0.0017555185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022239021,0.00032856016,0.00029135117,0.0007590674,0.00247367,0.002610032,0.0008402318,0.0008718034,0.0009715863],"category_scores_gemma":[0.0030579271,0.00045734906,0.00029510283,0.0009486453,0.001558754,0.0015656272,0.0021077623,0.0009433442,0.00018846453],"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":[0.00013050802,0.00066239084,0.75261045,0.00069216016,0.00003356432,0.0042365147,0.17542075,0.00074840145,0.0039586867,0.0012536701,0.0012815855,0.058971353],"study_design_scores_gemma":[0.000009055276,0.00039837687,0.5935791,0.00031225916,0.000032351927,0.0007823964,0.39887592,0.00077809556,0.0012312047,0.0002692981,0.0036699132,0.00006201699],"about_ca_topic_score_codex":0.05573523,"about_ca_topic_score_gemma":0.11012122,"teacher_disagreement_score":0.05573523,"about_ca_system_score_codex":0.0031180647,"about_ca_system_score_gemma":0.008778644,"threshold_uncertainty_score":0.110821605},"labels":[],"label_agreement":null},{"id":"W2958553296","doi":"10.5430/rwe.v10n2p129","title":"Structural Equation Modeling and Relationships Between Mental Wellbeing, Resilience and Self-stigma","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Resilience and Mental Health","field":"Psychology","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":"Structural equation modeling; Psychology; Confirmatory factor analysis; Scale (ratio); Stigma (botany); Mental health; Psychological resilience; Clinical psychology; Social psychology; Psychiatry; Statistics; Mathematics","score_opus":0.15239339872678956,"score_gpt":0.4405409156530439,"score_spread":0.2881475169262543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958553296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9095522,0.0016066709,0.07236204,0.0058297412,0.00036142426,0.000998608,0.0024033228,0.00030782266,0.006578251],"genre_scores_gemma":[0.9710109,0.0008419088,0.024000138,0.00016169589,0.000052542047,0.0010465166,0.0011846808,0.000021689912,0.0016799569],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953414,0.0033988378,0.00021090594,0.00036647124,0.0003699164,0.0003124219],"domain_scores_gemma":[0.99415994,0.0041489033,0.0006276072,0.00027450363,0.000585076,0.0002039399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066625793,0.0010772127,0.0010030374,0.0021821973,0.0012596858,0.001688199,0.001278624,0.0010795636,0.0051843],"category_scores_gemma":[0.013883141,0.0006292873,0.002442822,0.0024756629,0.00073539553,0.0014453,0.0019466395,0.0025525265,0.0005419029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035397595,0.0015866605,0.8047883,0.00069120806,0.0025419455,0.00080451916,0.009970777,0.05026457,0.00074833474,0.051271208,0.0065890998,0.07038941],"study_design_scores_gemma":[0.0003186812,0.0016178288,0.22418754,0.001660409,0.0017551779,0.00073102774,0.011964915,0.68023175,0.0008853459,0.060880963,0.015570048,0.00019628998],"about_ca_topic_score_codex":0.016708793,"about_ca_topic_score_gemma":0.015889151,"teacher_disagreement_score":0.016708793,"about_ca_system_score_codex":0.0019203852,"about_ca_system_score_gemma":0.004592588,"threshold_uncertainty_score":0.035235524},"labels":[],"label_agreement":null},{"id":"W2958748870","doi":"10.5430/rwe.v10n2p48","title":"Perceived Risk on Online Store Image Towards Purchase Intention","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology Adoption and User Behaviour","field":"Decision 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":"Business; Purchasing; Risk perception; Advertising; Product (mathematics); Order (exchange); The Internet; Internet privacy; Purchase order; Internet shopping; Affect (linguistics); Marketing; Psychology; Finance; Computer science","score_opus":0.23707652302955323,"score_gpt":0.4799485020384918,"score_spread":0.2428719790089386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958748870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493283,0.00012005036,0.00009957718,0.00011264702,0.000005278756,0.000015713742,0.000059202906,0.000003170797,0.004651443],"genre_scores_gemma":[0.99878484,0.00009823851,0.00010970152,0.000026896387,0.0000042651827,0.00000709831,0.000059329734,0.0000011486658,0.00090844336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999496,0.00012686622,0.00004874829,0.00003462166,0.00021350046,0.00008030133],"domain_scores_gemma":[0.9960498,0.001511514,0.0012188845,0.00014356457,0.0005589621,0.0005172186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005991554,0.0002047342,0.00016777859,0.00064004917,0.00033472409,0.0013652251,0.00016594461,0.00044934804,0.0075675156],"category_scores_gemma":[0.0042364243,0.00014889214,0.0005255272,0.0003834049,0.00031254013,0.000620884,0.0005247831,0.00083771156,0.0006001624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013389614,0.0007858347,0.98526347,0.000066094726,0.000061365885,0.00016290942,0.002092348,0.00013414973,0.00060509203,0.00052384177,0.00021238987,0.009958696],"study_design_scores_gemma":[0.000005436729,0.0002669421,0.99358785,0.00006404008,0.000065106404,0.000146316,0.003483443,0.0009530462,0.00036255806,0.00024675045,0.0008034306,0.0000149670195],"about_ca_topic_score_codex":0.003714135,"about_ca_topic_score_gemma":0.0049660914,"teacher_disagreement_score":0.0075675156,"about_ca_system_score_codex":0.0003293294,"about_ca_system_score_gemma":0.00042519416,"threshold_uncertainty_score":0.02531588},"labels":[],"label_agreement":null},{"id":"W2959003265","doi":"10.5430/rwe.v10n2p15","title":"Studies on Earnings Management and Financial Statement Fraud in Corporate Firms","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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; Financial statement; Accounting; Business; Earnings; Hedge; Financial statement analysis; Accounting records; Earnings response coefficient; Statement (logic); Statement of changes in financial position; Accounting management; Finance; Actuarial science; Financial ratio; Accounting information system; Political science; Law; Audit","score_opus":0.05988887190097972,"score_gpt":0.30360526779290986,"score_spread":0.24371639589193014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959003265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93960315,0.03276739,0.00047114526,0.0057933237,0.000100711855,0.000028272761,0.0001347432,0.000003222518,0.021098102],"genre_scores_gemma":[0.9864166,0.011657555,0.00017406177,0.00033644625,0.00015117733,0.000012310682,0.000091532216,0.0000019931763,0.001158294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996454,0.0020166305,0.0002949792,0.00018884284,0.00064388715,0.0004016611],"domain_scores_gemma":[0.9449076,0.026518397,0.024232337,0.0006808218,0.0024943391,0.0011665997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030216072,0.00016607363,0.00020438351,0.003878153,0.0010415011,0.0023179518,0.00039505438,0.00088564755,0.0033425956],"category_scores_gemma":[0.022752348,0.00010789265,0.00029457154,0.0068540694,0.0015807276,0.002742886,0.0012748867,0.0013174446,0.00021570269],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009431319,0.0004510816,0.9031981,0.0004246468,0.000086035114,0.00063467,0.009000414,0.00036889044,0.000090503796,0.025190542,0.0020581868,0.058402505],"study_design_scores_gemma":[0.00000573126,0.000095352996,0.96107197,0.00095642963,0.000058953432,0.00066123356,0.01645003,0.0004706859,0.00015774876,0.0041746097,0.015873754,0.000023670156],"about_ca_topic_score_codex":0.00629722,"about_ca_topic_score_gemma":0.0052612443,"teacher_disagreement_score":0.00629722,"about_ca_system_score_codex":0.0016692899,"about_ca_system_score_gemma":0.0011944722,"threshold_uncertainty_score":0.015980005},"labels":[],"label_agreement":null},{"id":"W2959183829","doi":"10.5430/rwe.v10n2p30","title":"Identifying the Challenges of the Sarawak Malay Terubok Ikan Masin (Salted Fish) Entrepreneur: Qualitative Study","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Malay; Tourism; Business; Fish <Actinopterygii>; Qualitative research; Marketing; Fishery; Geography; Sociology; Social science; Biology","score_opus":0.10082066012626383,"score_gpt":0.3612167410015272,"score_spread":0.26039608087526334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959183829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98847395,0.000473222,0.0011195125,0.0030217844,0.000070931696,0.00015425458,0.00011046747,0.000007468756,0.0065683485],"genre_scores_gemma":[0.99139786,0.0009254728,0.0006313846,0.0009223326,0.000013550314,0.00017540387,0.00005101643,0.000011546609,0.0058713984],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9975473,0.0014149469,0.00007577931,0.00016238893,0.00026830635,0.00053132186],"domain_scores_gemma":[0.99617696,0.0020944371,0.0004316717,0.00008615372,0.00046458258,0.0007462147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035795134,0.0002847076,0.00046463957,0.00068528036,0.0055790204,0.002599742,0.0008426833,0.0012135671,0.0030448039],"category_scores_gemma":[0.0055594384,0.0003659903,0.0002627544,0.00061615126,0.003460977,0.002727333,0.0029109048,0.0018609131,0.00039749453],"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":[0.00003480476,0.00008959602,0.009019803,0.00028406156,0.0000039609545,0.0019782432,0.97804534,0.00005382325,0.0014543583,0.002126754,0.0018021371,0.0051070657],"study_design_scores_gemma":[9.4625557e-7,0.00001708172,0.0014934534,0.000092921706,0.0000016541169,0.00018899023,0.99261284,0.00005116539,0.00017254097,0.00014157603,0.005220261,0.0000065177474],"about_ca_topic_score_codex":0.006533951,"about_ca_topic_score_gemma":0.014715936,"teacher_disagreement_score":0.006533951,"about_ca_system_score_codex":0.0026146155,"about_ca_system_score_gemma":0.0038377848,"threshold_uncertainty_score":0.01897049},"labels":[],"label_agreement":null},{"id":"W2959222472","doi":"10.5430/rwe.v10n2p66","title":"Rainbow Smart Parking System Design: Problems Into Solutions for Integrated Parking Management","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Smart Parking Systems Research","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":"Parking space; Sample (material); Parking guidance and information; Transport engineering; Space (punctuation); Car parking; Computer science; Sampling (signal processing); Management system; Business; Operations management; Engineering; Telecommunications","score_opus":0.09907899248710357,"score_gpt":0.3181571418057035,"score_spread":0.21907814931859992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959222472","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":[0.15992148,0.0015015509,0.81331784,0.0031655661,0.00016430722,0.00048929633,0.00016663306,0.0019053838,0.019367902],"genre_scores_gemma":[0.7664662,0.0005744763,0.22458914,0.00019946706,0.000031046537,0.00020050514,0.0001971522,0.000083153966,0.0076588336],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919873,0.00026869364,0.000063381616,0.000147611,0.0002109932,0.000110607],"domain_scores_gemma":[0.9994282,0.00011559839,0.000058986672,0.00010313067,0.00022852211,0.00006553083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012403829,0.00049649406,0.0004840516,0.000499955,0.00060072157,0.0018876214,0.0012207975,0.00091735454,0.0047518564],"category_scores_gemma":[0.0017654921,0.00035414723,0.000526158,0.0005559463,0.0006631008,0.0029179938,0.0015128591,0.00059104885,0.0007649354],"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":[0.00040840745,0.0004914823,0.019512651,0.0013298045,0.00018613957,0.0005302618,0.0018444734,0.14363119,0.035523202,0.09439792,0.009794667,0.6923498],"study_design_scores_gemma":[0.00014444489,0.0010606449,0.011871825,0.0003043053,0.00027318674,0.0010496605,0.00448799,0.76943964,0.039572693,0.08050856,0.09112982,0.00015723337],"about_ca_topic_score_codex":0.002408874,"about_ca_topic_score_gemma":0.0033894998,"teacher_disagreement_score":0.0047518564,"about_ca_system_score_codex":0.0008773308,"about_ca_system_score_gemma":0.0017642161,"threshold_uncertainty_score":0.015896559},"labels":[],"label_agreement":null},{"id":"W2959578400","doi":"10.5430/rwe.v10n2p53","title":"Fund Management – An Exploratory Case Study of Several Mosques in Kelantan","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Exploratory research; Management fee; Qualitative research; Distribution (mathematics); Investment management; Fund raising; Finance; Marketing; Economics; Economic growth; Open-end fund; Sociology; Corporate governance; Social science","score_opus":0.09563110927157388,"score_gpt":0.339940452805602,"score_spread":0.2443093435340281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959578400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632347,0.00015897713,0.00038134522,0.00035395345,0.000010591105,0.00005671765,0.00002589964,0.0000035899616,0.0026854847],"genre_scores_gemma":[0.9969549,0.00031971384,0.00064388284,0.00012259139,0.000010141249,0.00003177143,0.000017755112,0.00000409488,0.0018952077],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99825007,0.0011470391,0.000049116254,0.00011896277,0.00012868071,0.00030606368],"domain_scores_gemma":[0.9975739,0.0014868611,0.00031625887,0.0000916732,0.00014199463,0.0003893691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018626809,0.00034033266,0.00037972615,0.0009755744,0.00813079,0.0020009505,0.0015959236,0.0019165812,0.003049806],"category_scores_gemma":[0.0032791032,0.00040807892,0.00023040609,0.0009333832,0.0025933501,0.0017350155,0.0023620268,0.0013708684,0.00029986666],"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":[0.00011779449,0.0004868209,0.018473621,0.00034964632,0.000021732116,0.038160887,0.9218275,0.0003759567,0.0031586,0.0033173715,0.0009893872,0.012720732],"study_design_scores_gemma":[0.00000415242,0.00010910604,0.008428128,0.00008165799,0.0000057967914,0.00222645,0.98169947,0.00019399663,0.00040978906,0.00019984385,0.006631633,0.000010016989],"about_ca_topic_score_codex":0.0063914815,"about_ca_topic_score_gemma":0.019322831,"teacher_disagreement_score":0.00813079,"about_ca_system_score_codex":0.002361064,"about_ca_system_score_gemma":0.0011848537,"threshold_uncertainty_score":0.017130792},"labels":[],"label_agreement":null},{"id":"W2959761428","doi":"10.5430/rwe.v10n2p10","title":"Authorities Perspectives Towards the Implementation of Shariah-Compliant Hotel in Malaysia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Halal products and consumer behavior","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":"Business; Islam; Marketing; Accounting; Geography","score_opus":0.14387711808525358,"score_gpt":0.45147404756659215,"score_spread":0.30759692948133854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959761428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9654097,0.00036032547,0.0005913847,0.0037027646,0.00003513308,0.000030043177,0.000013121362,0.0000053077115,0.02985224],"genre_scores_gemma":[0.9982944,0.00019292584,0.00011839581,0.000110074914,0.0000037188106,0.000002954972,0.0000037116074,0.0000017359097,0.001272006],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9951432,0.0031227604,0.00018506011,0.00013690513,0.00061967666,0.00079234346],"domain_scores_gemma":[0.99650866,0.0010115353,0.0007859411,0.00009177062,0.0005768765,0.0010252707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046498897,0.00021768427,0.00014158433,0.0006830173,0.0048581576,0.0050467597,0.00045241852,0.0010959562,0.0025709856],"category_scores_gemma":[0.0035252406,0.00028395103,0.00021578126,0.00059986394,0.005626358,0.0022237126,0.0028982507,0.0018378278,0.00022120622],"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":[0.00007917813,0.00010764262,0.030283015,0.00022798052,0.000014947427,0.0035373117,0.89911866,0.00030090185,0.0028357122,0.051936094,0.0014242153,0.010134265],"study_design_scores_gemma":[0.000005672807,0.00008663227,0.018139351,0.00018315407,0.000008855406,0.0004115881,0.95059896,0.00036461937,0.00075502734,0.0015858778,0.027829638,0.00003061705],"about_ca_topic_score_codex":0.014739786,"about_ca_topic_score_gemma":0.021274148,"teacher_disagreement_score":0.014739786,"about_ca_system_score_codex":0.004640075,"about_ca_system_score_gemma":0.006314906,"threshold_uncertainty_score":0.033666253},"labels":[],"label_agreement":null},{"id":"W2960012311","doi":"10.5430/rwe.v10n2p79","title":"Assessing the Service Quality and Customer Satisfaction on Islamic Banking by Using SERVQUAL Model","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"SERVQUAL; Empathy; Service quality; Customer satisfaction; Reliability (semiconductor); Business; Quality (philosophy); Marketing; Service (business); Psychology; Social psychology","score_opus":0.12164247892638541,"score_gpt":0.3836392069293017,"score_spread":0.2619967280029163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960012311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561218,0.0006474964,0.0072825425,0.0014622642,0.00004679952,0.00018010117,0.0004894677,0.00004619949,0.033723313],"genre_scores_gemma":[0.9964252,0.00033448372,0.0013044538,0.0000819004,0.000011232179,0.000044362358,0.00020688644,0.0000028524798,0.0015885143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986467,0.00042267088,0.0000914822,0.000060451574,0.0005839451,0.00019485386],"domain_scores_gemma":[0.9985721,0.00045796065,0.00028618693,0.000050534265,0.00052843394,0.000104802835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009355579,0.00026655488,0.00027654704,0.00087620586,0.00033282218,0.0011185692,0.00019366413,0.00036166143,0.0038857905],"category_scores_gemma":[0.0022157696,0.00010392971,0.00045156945,0.0013203318,0.00032312764,0.0007633134,0.0005807177,0.0006270318,0.0004797685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003477662,0.0014925051,0.6332018,0.00078401907,0.00021386836,0.0007369506,0.0073542157,0.01696977,0.005775071,0.026216961,0.012797687,0.29410937],"study_design_scores_gemma":[0.000046735575,0.001545738,0.854084,0.0009131547,0.0001957256,0.0008910841,0.012931592,0.095555805,0.0031091569,0.008950014,0.02165683,0.00012011099],"about_ca_topic_score_codex":0.0025233773,"about_ca_topic_score_gemma":0.0028720226,"teacher_disagreement_score":0.0038857905,"about_ca_system_score_codex":0.0007037581,"about_ca_system_score_gemma":0.000652745,"threshold_uncertainty_score":0.012999237},"labels":[],"label_agreement":null},{"id":"W2960174411","doi":"10.5430/rwe.v10n2p147","title":"The Simultaneity of Corporate Financial Decisions Under Different Levels of Managerial Ownership: A Case of Pakistani Listed Firms","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Principal–agent problem; Simultaneity; Pecking order; Endogeneity; Finance; Pecking order theory; Agency cost; Investment decisions; Business; Order (exchange); Economics; Cash flow; Sample (material); Accounting; Capital structure; Shareholder; Debt; Corporate governance; Econometrics","score_opus":0.10965187751561938,"score_gpt":0.3254366071630535,"score_spread":0.21578472964743411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960174411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990578,0.000054669286,0.000112702946,0.00021607136,0.0000011365167,0.000005334075,0.000042300264,0.0000010329605,0.0005089029],"genre_scores_gemma":[0.99965334,0.00003830931,0.000063448446,0.000011759975,0.000002865446,0.0000016178025,0.00002907603,2.7626388e-7,0.00019932094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992799,0.00020154324,0.000044752098,0.00013861577,0.0000907745,0.00024432407],"domain_scores_gemma":[0.9927597,0.0034609314,0.0027337102,0.00021640686,0.00033524766,0.0004939895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013460573,0.00015305572,0.00019654213,0.0007197247,0.0012495605,0.0012694879,0.0005505114,0.0008617772,0.0031852017],"category_scores_gemma":[0.0034359545,0.00018924965,0.00032516292,0.0007861306,0.0007746012,0.0008029787,0.00074460806,0.0008308953,0.0001600161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015437682,0.00025999625,0.970523,0.00003684297,0.0000509322,0.012027717,0.0023696837,0.0043875203,0.00066736626,0.0021007103,0.00050285185,0.0069189956],"study_design_scores_gemma":[0.00002426187,0.00019909051,0.9547224,0.00003285616,0.00007952172,0.002267221,0.015159578,0.022892136,0.00067342847,0.0027930238,0.0011167014,0.000039756633],"about_ca_topic_score_codex":0.037461936,"about_ca_topic_score_gemma":0.06066473,"teacher_disagreement_score":0.037461936,"about_ca_system_score_codex":0.0018730137,"about_ca_system_score_gemma":0.0010032232,"threshold_uncertainty_score":0.074487746},"labels":[],"label_agreement":null},{"id":"W2960420527","doi":"10.5430/rwe.v10n2p26","title":"Comparative Analysis of Waqf Generosity Index (WGI) in Generation Y and Z","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Generosity; Altruism (biology); Index (typography); Social psychology; Waqf; Rasch model; Psychology; Cronbach's alpha; Religiosity; Islam; Theology; Psychometrics; Developmental psychology; Computer science; Philosophy","score_opus":0.08708854501571264,"score_gpt":0.331842838841533,"score_spread":0.24475429382582034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960420527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988657,0.000053559474,0.00009327682,0.00002960276,0.0000038130345,0.0000071993863,0.000081105645,0.0000013968205,0.0008644127],"genre_scores_gemma":[0.9993318,0.000033697524,0.00009722502,0.0000078846615,0.0000019807646,0.000009147004,0.00014478777,8.4108103e-7,0.00037256422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963605,0.000104658284,0.000030658466,0.00004326403,0.000084677544,0.00010069746],"domain_scores_gemma":[0.9980829,0.0005024841,0.00059627433,0.00013380211,0.00044198363,0.000242543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009648459,0.00015443449,0.0001300152,0.0014027174,0.0003690295,0.000592645,0.00016240994,0.00021081672,0.002354207],"category_scores_gemma":[0.0034288708,0.00006455785,0.00025995608,0.00074063794,0.00028799954,0.00040462535,0.0005534099,0.00029089765,0.00023173148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012572853,0.000049013932,0.97748065,0.000015442758,0.000036637415,0.00016241087,0.0039833705,0.000088796376,0.0003992268,0.0004871864,0.00035543827,0.016816044],"study_design_scores_gemma":[0.0000022387856,0.000082263134,0.9950767,0.000009212722,0.000011007514,0.000091433954,0.0036784722,0.00019414286,0.00011975689,0.000105774125,0.0006238311,0.000005155233],"about_ca_topic_score_codex":0.0044947937,"about_ca_topic_score_gemma":0.005363306,"teacher_disagreement_score":0.0044947937,"about_ca_system_score_codex":0.00035072837,"about_ca_system_score_gemma":0.00025635326,"threshold_uncertainty_score":0.00893724},"labels":[],"label_agreement":null},{"id":"W2960555554","doi":"10.5430/rwe.v10n2p62","title":"Application of Plated Rubber System (PRESS) for Rubber Identification","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Electricity Theft Detection Techniques","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":"Natural rubber; Respondent; Commodity; Business; Identification (biology); Finance; Law; Materials science; Composite material","score_opus":0.027577092583786798,"score_gpt":0.3054998043388149,"score_spread":0.2779227117550281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960555554","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":[0.41598007,0.008077043,0.5005074,0.0012971138,0.001057137,0.0016534772,0.0020401408,0.007658876,0.061728816],"genre_scores_gemma":[0.68943614,0.00333045,0.25843832,0.00041611254,0.0001524376,0.00038813413,0.0009968922,0.00026397395,0.046577524],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99870527,0.00022522743,0.00008157804,0.00027958458,0.0006435177,0.0000648295],"domain_scores_gemma":[0.9984699,0.00047905455,0.00024812773,0.00025205853,0.00048654218,0.00006419567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007331742,0.00063659815,0.00035244517,0.0015379186,0.00032381475,0.00058773987,0.0007855166,0.00057659496,0.009757155],"category_scores_gemma":[0.0016542643,0.0003283347,0.00036909018,0.0010799309,0.00042578793,0.0008264592,0.00077606854,0.00054875924,0.0036325783],"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":[0.0006803828,0.00029003015,0.0144514,0.0012154968,0.000053022715,0.0014620813,0.0007671447,0.0011120304,0.48374277,0.003820489,0.008419099,0.4839861],"study_design_scores_gemma":[0.00008224556,0.0033747365,0.041385636,0.000307007,0.00020832024,0.009852442,0.0011143521,0.016439172,0.76233065,0.0019318,0.16277462,0.00019902755],"about_ca_topic_score_codex":0.00047077905,"about_ca_topic_score_gemma":0.0009340139,"teacher_disagreement_score":0.009757155,"about_ca_system_score_codex":0.00018851775,"about_ca_system_score_gemma":0.00031378842,"threshold_uncertainty_score":0.032640934},"labels":[],"label_agreement":null},{"id":"W2960648373","doi":"10.5430/rwe.v10n2p108","title":"Scrutinising the Socio-Demographic Pattern of Parenting Practices and Parenting Styles in Upholding Child’s Protection and Privacy to Address Paedophilia Issue","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Child Development and Digital Technology","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":"Malay; Psychology; Seriousness; Ethnic group; Child protection; Context (archaeology); Parenting styles; Sociocultural evolution; Developmental psychology; Political science; Law; Geography","score_opus":0.09667979942020898,"score_gpt":0.3855987690854812,"score_spread":0.2889189696652722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960648373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848396,0.00023846306,0.00010421484,0.00016557488,0.000006239488,0.000011007728,0.00007454501,7.4763506e-7,0.0009153689],"genre_scores_gemma":[0.99912924,0.00034482428,0.00015779244,0.000034644814,0.0000038976573,0.000013467997,0.00005720065,7.586192e-7,0.00025826442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939513,0.00026284636,0.00006411701,0.00006008021,0.00011728465,0.000100617624],"domain_scores_gemma":[0.9977315,0.0007003988,0.0008779755,0.00008550585,0.00029490533,0.0003097607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011684586,0.00011091304,0.00016417699,0.00056153093,0.00062846346,0.00058622094,0.0001754559,0.00022646374,0.0014503358],"category_scores_gemma":[0.003961762,0.00014846429,0.00020797648,0.00060193404,0.0003368812,0.0005949291,0.00045740703,0.00058808643,0.00014515842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001834739,0.000042301075,0.979955,0.00003790918,0.000017037557,0.0003356011,0.012467037,0.000021035486,0.00022391079,0.00013240275,0.0001983316,0.006551063],"study_design_scores_gemma":[6.569069e-7,0.00007704052,0.972548,0.00004318195,0.000007570379,0.00042052587,0.025809046,0.000068799534,0.000089090725,0.00005171156,0.0008786589,0.0000056751555],"about_ca_topic_score_codex":0.004785444,"about_ca_topic_score_gemma":0.009698259,"teacher_disagreement_score":0.004785444,"about_ca_system_score_codex":0.00035448652,"about_ca_system_score_gemma":0.0004906625,"threshold_uncertainty_score":0.009515166},"labels":[],"label_agreement":null},{"id":"W2960813101","doi":"10.5430/rwe.v10n2p96","title":"Comparison Between Conventional and Digital Essay Writing Assessment System: Consumer Concept and User Friendly","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Education and Technology Integration","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":"Malay; Mathematics education; Christian ministry; Descriptive statistics; User Friendly; Data collection; Perspective (graphical); Computer science; Psychology; Multimedia; Statistics; Medical education; Mathematics; Artificial intelligence; Political science; Linguistics; Medicine","score_opus":0.0784182755206498,"score_gpt":0.44900252389826223,"score_spread":0.37058424837761245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960813101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914881,0.00016490847,0.0019877888,0.0001022529,0.000026405116,0.00009669548,0.000045781686,0.000021047557,0.0060670204],"genre_scores_gemma":[0.996073,0.00011591842,0.0024300858,0.000043648528,0.000013164088,0.00006693888,0.00005271952,0.000007837775,0.0011967205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99219644,0.0034663763,0.0010456207,0.00046818535,0.0026133698,0.00021002791],"domain_scores_gemma":[0.97173387,0.016415063,0.0035927244,0.001161494,0.0060997726,0.0009970715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005966137,0.00022772934,0.00026607802,0.0013741474,0.00033269782,0.001425951,0.0002748498,0.000302717,0.0024761574],"category_scores_gemma":[0.029643957,0.00012358215,0.00039497076,0.0008124739,0.0007801065,0.0014496855,0.0008079823,0.00036387405,0.0003964395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001506395,0.00089800154,0.65523726,0.0008095456,0.00013787489,0.0004724069,0.027783014,0.0003423235,0.012746381,0.001525489,0.0014248892,0.2971164],"study_design_scores_gemma":[0.00009460629,0.0033343313,0.9481116,0.0002704511,0.00015280151,0.0010470089,0.023996469,0.0027490915,0.007459128,0.0010267432,0.011668145,0.00008966391],"about_ca_topic_score_codex":0.00084510527,"about_ca_topic_score_gemma":0.0014693596,"teacher_disagreement_score":0.005966137,"about_ca_system_score_codex":0.00055040617,"about_ca_system_score_gemma":0.00058978214,"threshold_uncertainty_score":0.031552374},"labels":[],"label_agreement":null},{"id":"W2960889579","doi":"10.5430/rwe.v10n2p1","title":"Measuring the Remode Entreprenurship Training Programme at Behaviour Level of Kirkpatrick Model in Aquaculture Industry","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Entrepreneurship Studies and Influences","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":"Ministry of Higher Education, Malaysia","keywords":"Entrepreneurship; Focus group; Thematic analysis; Marketing; Diversification (marketing strategy); Poverty; Training (meteorology); Business; Knowledge management; Psychology; Qualitative research; Economics; Economic growth; Sociology; Geography; Social science; Computer science","score_opus":0.3754237303570499,"score_gpt":0.34711431834339435,"score_spread":0.028309412013655555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2960889579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952081,0.000031556705,0.0002965647,0.00013900995,0.000007651521,0.00005163036,0.000020889596,0.0000048084985,0.0042398353],"genre_scores_gemma":[0.9949587,0.00011783309,0.0011622602,0.000061629966,0.000004276854,0.000073698764,0.000050738818,0.0000033283277,0.0035675936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986658,0.00045031655,0.00006252948,0.00011336779,0.0003445025,0.00036353746],"domain_scores_gemma":[0.9974222,0.00068467594,0.0005282621,0.0001500879,0.00036402297,0.0008506652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018814129,0.0001702913,0.00015346623,0.00047094625,0.0006271956,0.00080195407,0.00038405898,0.00034655991,0.0035755918],"category_scores_gemma":[0.004532961,0.00013550089,0.00018058743,0.00029520245,0.00056085805,0.00044869547,0.0013289662,0.00055888173,0.0005034855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045725258,0.0059851017,0.64566374,0.0005893567,0.00004297955,0.0008082314,0.05049241,0.0009661721,0.014172924,0.0011316257,0.0031070234,0.2765832],"study_design_scores_gemma":[0.000010287098,0.0013203318,0.946014,0.00018363143,0.000017813085,0.0001943469,0.040703174,0.0006219124,0.0019167279,0.00042446837,0.008564751,0.000028649742],"about_ca_topic_score_codex":0.0018230581,"about_ca_topic_score_gemma":0.0060578575,"teacher_disagreement_score":0.0035755918,"about_ca_system_score_codex":0.0006733952,"about_ca_system_score_gemma":0.0011679088,"threshold_uncertainty_score":0.011961579},"labels":[],"label_agreement":null},{"id":"W2961207019","doi":"10.5430/rwe.v10n2p20","title":"The Role of Multi Dimensional EO in the Competitive Strategy - Performance Link","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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; Competitive advantage; Order (exchange); Industrial organization; Dimension (graph theory); Marketing; Service (business); Catering industry; Entrepreneurial orientation; Entrepreneurship; Mathematics; Finance","score_opus":0.04452740199455438,"score_gpt":0.3003757382954409,"score_spread":0.25584833630088655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961207019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800662,0.000249665,0.0020236208,0.0005075986,0.000018680857,0.00002985397,0.00007050948,0.0000120823115,0.017021772],"genre_scores_gemma":[0.99884605,0.00006849011,0.00057392655,0.0000440673,0.00000562884,0.000008688205,0.000022874308,0.0000026359055,0.00042769942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998464,0.0006503773,0.00008503659,0.0001393076,0.00036855595,0.0002928031],"domain_scores_gemma":[0.99210805,0.004317807,0.0015962943,0.0003426309,0.0006232481,0.0010119423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015353281,0.0004183129,0.0002536826,0.0015873173,0.0004302414,0.0038825485,0.00024177345,0.0004920925,0.0026112774],"category_scores_gemma":[0.005520095,0.00017209945,0.0003366226,0.0011861032,0.0013301781,0.0013061184,0.002033123,0.00090118655,0.00019960424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035618633,0.0007659242,0.87828106,0.0001512733,0.00027367016,0.0005566141,0.0035436924,0.002261943,0.0037028897,0.025340509,0.00038091195,0.084385395],"study_design_scores_gemma":[0.000016704116,0.0003134755,0.9743414,0.00008017739,0.00007965639,0.00017349725,0.003986333,0.0044897213,0.0005944296,0.014233207,0.0016490233,0.000042434815],"about_ca_topic_score_codex":0.0018250932,"about_ca_topic_score_gemma":0.0025055741,"teacher_disagreement_score":0.0038825485,"about_ca_system_score_codex":0.0008502481,"about_ca_system_score_gemma":0.0015864295,"threshold_uncertainty_score":0.008735597},"labels":[],"label_agreement":null},{"id":"W2961401877","doi":"10.5430/rwe.v10n2p6","title":"Reducing Disturbance in Parking System by Using Quality Function Deployment (QFD) Method","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Quality Function Deployment in Product Design","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":"Quality function deployment; House of Quality; Computer science; Quality (philosophy); Transport engineering; Operations management; Reliability engineering; Risk analysis (engineering); Engineering; Business; Service quality; Marketing; Customer retention","score_opus":0.1357588504400688,"score_gpt":0.37384318882094025,"score_spread":0.23808433838087145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961401877","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":[0.09895593,0.0004766981,0.8864878,0.0010589332,0.000085323605,0.00075520755,0.00017551116,0.00045216,0.011552445],"genre_scores_gemma":[0.5639906,0.00044150805,0.4319772,0.000116641866,0.000022676842,0.0004715538,0.00019758835,0.00006850942,0.0027137017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99472815,0.002544014,0.000329625,0.0004565061,0.001667082,0.0002745741],"domain_scores_gemma":[0.99283034,0.003145592,0.0008349759,0.0005290024,0.0024886292,0.00017144329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057332166,0.00077859295,0.00057602813,0.003700647,0.0010580886,0.0016310246,0.0009970312,0.0006260062,0.003421356],"category_scores_gemma":[0.01049517,0.00037336117,0.00074717164,0.0032209668,0.0008715143,0.0017692661,0.0014155707,0.00067696103,0.00034665014],"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":[0.0001839958,0.00063395366,0.024515865,0.001195587,0.00007624432,0.00021137453,0.0047192383,0.03866973,0.011522206,0.023597745,0.004016384,0.89065754],"study_design_scores_gemma":[0.00043882395,0.0038382956,0.13083985,0.0014784132,0.00054145633,0.0015928103,0.024326721,0.6109828,0.061558068,0.06601507,0.09787742,0.00051027],"about_ca_topic_score_codex":0.00594797,"about_ca_topic_score_gemma":0.0061027054,"teacher_disagreement_score":0.00594797,"about_ca_system_score_codex":0.002190881,"about_ca_system_score_gemma":0.0028600171,"threshold_uncertainty_score":0.030320525},"labels":[],"label_agreement":null},{"id":"W2961428276","doi":"10.5430/rwe.v10n2p70","title":"The Revival of Mudharabah Contract: A Proposed Framework","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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; Profit sharing; Order (exchange); Venture capital; Agency (philosophy); Accounting; Finance; Economics; Sociology","score_opus":0.03834594046610004,"score_gpt":0.3094431195648677,"score_spread":0.2710971790987676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961428276","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":[0.06771438,0.006880084,0.28548378,0.13320477,0.0011656833,0.004864798,0.00071852934,0.00020169419,0.4997663],"genre_scores_gemma":[0.7540979,0.003681523,0.21766433,0.005515977,0.00036656717,0.0032632821,0.0002964599,0.000039451854,0.015074499],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9784774,0.012716276,0.0012846132,0.0024547488,0.003490083,0.0015769422],"domain_scores_gemma":[0.9789377,0.011209914,0.002588907,0.0014309887,0.00411987,0.0017125456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02754131,0.00086635695,0.0007831447,0.0062112943,0.009323142,0.018707419,0.004372534,0.009395093,0.00552613],"category_scores_gemma":[0.017698796,0.0006986055,0.0014410794,0.0046794275,0.032886345,0.0193857,0.008312244,0.0063613546,0.0007242164],"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":[0.0000044630974,0.000033925633,0.00044697188,0.000049948267,0.0000030193871,0.00014598673,0.0037442865,0.00017805146,0.00003970926,0.9907961,0.0007300485,0.0038275418],"study_design_scores_gemma":[0.000046114976,0.00012167187,0.0023629451,0.0014575986,0.000039643914,0.0007509764,0.035669915,0.0069889836,0.00035591776,0.871539,0.080561765,0.000105508516],"about_ca_topic_score_codex":0.011609306,"about_ca_topic_score_gemma":0.013065176,"teacher_disagreement_score":0.02754131,"about_ca_system_score_codex":0.01356541,"about_ca_system_score_gemma":0.029145846,"threshold_uncertainty_score":0.14565408},"labels":[],"label_agreement":null},{"id":"W2961451841","doi":"10.5430/rwe.v10n2p102","title":"Teacher's Opinion Towards Constructive Thinking for Teaching Essay Writing Based on Interactive Multimedia Integration","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"English Language Learning and Teaching","field":"Computer Science","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":"Constructive; Mathematics education; Animation; Computer science; Focus (optics); Process (computing); Malay; Multimedia; Graphics; Pedagogy; Psychology; Linguistics; Computer graphics (images)","score_opus":0.03429628268791652,"score_gpt":0.3611513736681614,"score_spread":0.3268550909802449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961451841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920643,0.00019851493,0.001041166,0.0007391434,0.000039289596,0.000029785831,0.000017042526,0.000010090942,0.0058606802],"genre_scores_gemma":[0.9974044,0.00023291365,0.00023151959,0.000117083284,0.000015912114,0.000018009598,0.0000152190505,0.0000043824384,0.0019604808],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99730814,0.0012720686,0.00021122575,0.00012444957,0.00087499595,0.00020910782],"domain_scores_gemma":[0.9868586,0.006249522,0.0025678151,0.00025346616,0.0031702023,0.000900338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024607598,0.00012558373,0.00019493038,0.00049307547,0.0005371624,0.0010962088,0.00020136191,0.00048200495,0.0026107111],"category_scores_gemma":[0.012274598,0.00014393353,0.00021285671,0.00025045263,0.0006721747,0.00054607604,0.00053522113,0.0004745192,0.0004171855],"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":[0.000786093,0.00051148806,0.38474286,0.0013222856,0.00007168289,0.005256394,0.41134515,0.00063461054,0.061083797,0.0014870096,0.0055941674,0.1271645],"study_design_scores_gemma":[0.00006718695,0.0019971784,0.42184883,0.0005951636,0.00015535548,0.0048234425,0.5156702,0.0030978988,0.013673956,0.00072639243,0.037215773,0.00012867413],"about_ca_topic_score_codex":0.0009739176,"about_ca_topic_score_gemma":0.0017455867,"teacher_disagreement_score":0.0026107111,"about_ca_system_score_codex":0.0006252084,"about_ca_system_score_gemma":0.0006776555,"threshold_uncertainty_score":0.013013899},"labels":[],"label_agreement":null},{"id":"W2962358185","doi":"10.5430/rwe.v10n2p58","title":"Entrepreneurial Logistics Education in Institutions of Higher Learning: The Case of Universiti Malaysia Kelantan","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Higher Education and Employability","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":"Mindset; Entrepreneurship; Marketing; Unemployment; Test (biology); Sample (material); Product (mathematics); Business; Excellence; Economics; Economic growth; Political science; Computer science; Finance","score_opus":0.10234475128018751,"score_gpt":0.4363976331161179,"score_spread":0.3340528818359304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962358185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98417157,0.00079065235,0.00012517067,0.0032727483,0.000033077657,0.000021164089,0.000019249293,0.000004751122,0.011561678],"genre_scores_gemma":[0.99538666,0.0008243404,0.00012042592,0.00033259447,0.00001107227,0.0000057478837,0.0000106367925,0.0000031527961,0.0033053458],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99871325,0.0004801555,0.000031936255,0.00007154177,0.00011731008,0.00058588624],"domain_scores_gemma":[0.9968857,0.0004211708,0.00033459524,0.00005907275,0.00016205697,0.002137284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019725563,0.00028355472,0.00022898737,0.000900723,0.008352646,0.0048685516,0.0009459791,0.0013950592,0.0075909365],"category_scores_gemma":[0.0013757278,0.00026292328,0.00032498068,0.0014294118,0.0015363336,0.0023997508,0.00347624,0.0020609451,0.00069144694],"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":[0.00037856336,0.0032187768,0.43396488,0.00083289103,0.00007107034,0.080304556,0.32115597,0.0011788812,0.0017281611,0.046251893,0.016167687,0.094746694],"study_design_scores_gemma":[0.000026407815,0.00036867528,0.1973468,0.00078433164,0.00003683595,0.0074963816,0.7287297,0.001191639,0.00060060254,0.0021186054,0.06123745,0.000062597464],"about_ca_topic_score_codex":0.011749693,"about_ca_topic_score_gemma":0.03913227,"teacher_disagreement_score":0.011749693,"about_ca_system_score_codex":0.0051851585,"about_ca_system_score_gemma":0.0064047556,"threshold_uncertainty_score":0.03762114},"labels":[],"label_agreement":null},{"id":"W2962926777","doi":"10.5430/rwe.v10n3p1","title":"On Italy’s Flat Tax Needs and Sustainability of the Public Budget","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Sustainability; Economics; Tax revenue; Revenue; Tax reform; Flat tax; Macroeconomics; Public economics; State income tax; Gross income; Accounting","score_opus":0.08727172347390634,"score_gpt":0.29738122419158003,"score_spread":0.2101095007176737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962926777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96254337,0.0008067373,0.00046912063,0.002835864,0.000028655812,0.00002284523,0.0040959474,0.00003706881,0.029160222],"genre_scores_gemma":[0.9938567,0.00033827216,0.00015832091,0.00008860981,0.000046582805,0.0000135462105,0.0039224527,0.000013717685,0.0015617517],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99934393,0.00020352246,0.000038044822,0.00008514385,0.00017306462,0.00015632478],"domain_scores_gemma":[0.9939349,0.001953501,0.0027644488,0.0004243707,0.0005955373,0.00032724036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014282941,0.00019679303,0.00026489748,0.0014764589,0.00039915525,0.0018000168,0.00024705802,0.00050016923,0.006107789],"category_scores_gemma":[0.013255589,0.00011575134,0.00022060446,0.002925107,0.0005869158,0.0013280192,0.0007936539,0.0007245371,0.00081649993],"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":[0.0004636209,0.00017343918,0.88860774,0.00019349647,0.00012686469,0.00056908885,0.0011097451,0.014539492,0.00045480026,0.023701094,0.028751383,0.04130922],"study_design_scores_gemma":[0.00003847406,0.00008854424,0.96338075,0.000111897,0.00007224944,0.00016813805,0.0012134946,0.00910141,0.0003682675,0.0039518327,0.02148209,0.000022818487],"about_ca_topic_score_codex":0.030398102,"about_ca_topic_score_gemma":0.026131028,"teacher_disagreement_score":0.030398102,"about_ca_system_score_codex":0.001935308,"about_ca_system_score_gemma":0.0010611265,"threshold_uncertainty_score":0.06044233},"labels":[],"label_agreement":null},{"id":"W2967195385","doi":"10.5430/rwe.v10n3p26","title":"Corporate Social Responsibility: Universities in the Kingdom of Bahrain","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Corporate social responsibility; Corporation; Business; Transparency (behavior); Public relations; Descriptive research; Human resources; Marketing; Political science; Sociology","score_opus":0.14924908905830472,"score_gpt":0.350456028276124,"score_spread":0.20120693921781926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967195385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985721,0.0036614141,0.00010964403,0.005045603,0.000062400286,0.000021147918,0.000109066896,0.000008836479,0.0052609416],"genre_scores_gemma":[0.9973436,0.000870022,0.00005587061,0.00038689974,0.000012614426,0.0000058766345,0.00002302747,0.0000014804696,0.0013005168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986987,0.00039924288,0.000085784544,0.00009664314,0.00023271136,0.00048674928],"domain_scores_gemma":[0.99686325,0.0007369995,0.00078197604,0.000061320614,0.00042689333,0.0011296315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011928589,0.00018556339,0.00018456516,0.0008256012,0.0031520503,0.002914177,0.00054563896,0.001298251,0.0033298146],"category_scores_gemma":[0.0021751502,0.00023143471,0.00014306152,0.0020946923,0.0014119651,0.0012275213,0.0017914198,0.0007328402,0.00032862282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027898094,0.00057862175,0.56346434,0.001629119,0.000048425503,0.011917591,0.3042983,0.0006498513,0.005225117,0.013261817,0.009207596,0.08944013],"study_design_scores_gemma":[0.0000118685975,0.00024327864,0.51997966,0.00035773456,0.00002573597,0.0016637545,0.43023488,0.00036958238,0.0008213153,0.00079493166,0.04544563,0.0000515455],"about_ca_topic_score_codex":0.09683717,"about_ca_topic_score_gemma":0.14040059,"teacher_disagreement_score":0.09683717,"about_ca_system_score_codex":0.006787071,"about_ca_system_score_gemma":0.0077529727,"threshold_uncertainty_score":0.19254702},"labels":[],"label_agreement":null},{"id":"W2967203722","doi":"10.5430/rwe.v10n3p10","title":"Have Stock Markets Become Less Volatile After the Great Recession?","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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); Economics; Volatility smile; Volatility swap; Financial crisis; Autoregressive conditional heteroskedasticity; Implied volatility; Forward volatility; Financial economics; Monetary economics; Recession; Volatility risk premium; Econometrics; Macroeconomics","score_opus":0.10671752393691149,"score_gpt":0.3273438729482935,"score_spread":0.220626349011382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967203722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904343,0.0011825231,0.00024776408,0.005136247,0.000066255576,0.000004981823,0.000162674,0.0000084767025,0.0027567463],"genre_scores_gemma":[0.9982482,0.0006476048,0.000057592628,0.0003196777,0.00008502552,0.0000024326778,0.00012330455,0.000004073471,0.00051223114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997174,0.000060189577,0.000021790991,0.00006375616,0.00005813935,0.000078603065],"domain_scores_gemma":[0.99669003,0.00075262337,0.0018100751,0.00016340747,0.000323284,0.0002606477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015430519,0.00015386434,0.00031196617,0.00040235903,0.00027201066,0.0017046763,0.00036988588,0.0008445305,0.002715156],"category_scores_gemma":[0.009011963,0.00013956579,0.0002837405,0.00070245884,0.00048409656,0.0018975376,0.0004337086,0.00096600165,0.000402202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042335852,0.00013845779,0.94280833,0.00009556362,0.00014413118,0.00032212472,0.0011650167,0.0011097142,0.0010315985,0.0043676053,0.0020359345,0.046358056],"study_design_scores_gemma":[0.000014974984,0.000080742124,0.990155,0.0000372095,0.000039769184,0.00012596986,0.0013967083,0.002456409,0.0003427496,0.002668091,0.0026694946,0.000012814721],"about_ca_topic_score_codex":0.009882178,"about_ca_topic_score_gemma":0.01002224,"teacher_disagreement_score":0.009882178,"about_ca_system_score_codex":0.000632654,"about_ca_system_score_gemma":0.0004736301,"threshold_uncertainty_score":0.019649327},"labels":[],"label_agreement":null},{"id":"W2971165011","doi":"10.5430/rwe.v10n3p32","title":"Crimean Wine Market Enterprises: Challenges and Opportunities","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Wine Industry and Tourism","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":"Winemaking; Terroir; Viticulture; Wine; Business; Production (economics); Industrial organization; Economics","score_opus":0.1604506816553651,"score_gpt":0.3134059364375712,"score_spread":0.1529552547822061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971165011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88851917,0.0052306564,0.00075873086,0.023638481,0.00006829958,0.000033563887,0.00014475081,0.000018304927,0.081588104],"genre_scores_gemma":[0.9922733,0.0022681886,0.00041473276,0.00024248395,0.000025980353,0.000010582631,0.00007847595,0.000003425904,0.0046827365],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999426,0.0001577624,0.000011107664,0.000043409953,0.00010421722,0.00025748025],"domain_scores_gemma":[0.9995345,0.0001021576,0.00006612298,0.000019042745,0.00010874703,0.0001693659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008304387,0.00015112665,0.00014527113,0.00074924936,0.0017961977,0.004505755,0.0006456237,0.0006327755,0.002051831],"category_scores_gemma":[0.0006020809,0.00012138506,0.00013684844,0.001209558,0.00091013586,0.00215358,0.0018324231,0.00047639053,0.00022501094],"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":[0.0003304472,0.00046447632,0.31032375,0.00088258024,0.00007579588,0.010270563,0.026448475,0.0033979772,0.0020495767,0.27536398,0.030894842,0.3394975],"study_design_scores_gemma":[0.000016013908,0.000118763935,0.3903053,0.00069258315,0.000031179454,0.0022618626,0.2907747,0.008685689,0.0013427637,0.023432288,0.28228882,0.00004999126],"about_ca_topic_score_codex":0.016591933,"about_ca_topic_score_gemma":0.039510783,"teacher_disagreement_score":0.016591933,"about_ca_system_score_codex":0.002260587,"about_ca_system_score_gemma":0.0043845363,"threshold_uncertainty_score":0.032990694},"labels":[],"label_agreement":null},{"id":"W2975460910","doi":"10.5430/rwe.v10n3p127","title":"Tax Evasion and Its Consequences on an Emerging Economy: Nigeria as a Focus","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Taxation and Compliance Studies","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":"Gross domestic product; Tax evasion; Economics; Ordinary least squares; Order (exchange); Informal sector; Evasion (ethics); Harm; Government (linguistics); Economy; Goods and services; Public economics; Macroeconomics; Market economy","score_opus":0.14189474914800596,"score_gpt":0.3588227133063371,"score_spread":0.21692796415833113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975460910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919823,0.001170847,0.000106070416,0.00061324367,0.000019272971,0.000009336213,0.000043091277,8.113016e-7,0.0060550296],"genre_scores_gemma":[0.9977182,0.001660062,0.000045064262,0.000046022767,0.0000069551675,0.0000020553907,0.000021177731,5.097789e-7,0.00049999857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998368,0.000053686294,0.000012389922,0.00001605508,0.000032892156,0.000048131056],"domain_scores_gemma":[0.9993474,0.00019904267,0.00028532682,0.000017883627,0.000091949405,0.00005833211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039503083,0.00012110862,0.00013123587,0.0005916305,0.00074154197,0.0012203557,0.00010523632,0.00030900197,0.0011197232],"category_scores_gemma":[0.00089636946,0.000058462392,0.00012394742,0.00095125823,0.0005694993,0.0007689569,0.00066966185,0.000648457,0.00006816705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018631521,0.00038992811,0.8980536,0.00030328514,0.000044579818,0.008137111,0.011894229,0.0015652601,0.0012387376,0.0287617,0.0017799748,0.047645163],"study_design_scores_gemma":[0.000012069007,0.00028689817,0.8731347,0.0008306909,0.00008707861,0.002116282,0.09351955,0.0029185575,0.0014842784,0.008468595,0.017108217,0.000032967044],"about_ca_topic_score_codex":0.009738266,"about_ca_topic_score_gemma":0.017597076,"teacher_disagreement_score":0.009738266,"about_ca_system_score_codex":0.0011064718,"about_ca_system_score_gemma":0.0011253014,"threshold_uncertainty_score":0.019363165},"labels":[],"label_agreement":null},{"id":"W2975912128","doi":"10.5430/rwe.v10n3p56","title":"A Study of Changing Key Performance Indicators in Banking Sector","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Accounting and Organizational 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":"Performance appraisal; Key (lock); Dimension (graph theory); Business; Performance indicator; Performance measurement; Industrial organization; Accounting; Financial sector; Retail banking; Process management; Marketing; Finance; Economics; Computer science; Management; Computer security","score_opus":0.038113773743767405,"score_gpt":0.2790861747365884,"score_spread":0.24097240099282102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975912128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99071336,0.00024153128,0.0004094664,0.0008305145,0.000020973828,0.000028444512,0.000159776,0.0000092234195,0.0075866715],"genre_scores_gemma":[0.9988716,0.00013518585,0.0002120993,0.000056420737,0.00000858853,0.000014744767,0.000062340965,0.0000018209257,0.00063722185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981242,0.00089146756,0.00013124623,0.00016239328,0.00036585456,0.00032478795],"domain_scores_gemma":[0.9885323,0.0046803243,0.003335846,0.0002663641,0.0021020826,0.001083031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002284623,0.00020794375,0.00020321412,0.0018335894,0.0010130502,0.0021801123,0.00029828618,0.000570394,0.0025605664],"category_scores_gemma":[0.012042734,0.00011846931,0.00033363866,0.0042159543,0.0009853565,0.0018802547,0.000741111,0.0011154392,0.00048324894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023609643,0.00057476974,0.9353479,0.00016195395,0.000051109128,0.00036661926,0.011779896,0.000553841,0.0008746302,0.0050906916,0.0016299435,0.043332513],"study_design_scores_gemma":[0.000006322962,0.00046638935,0.9786124,0.000058759557,0.000018091943,0.00014216472,0.014891846,0.00092603633,0.00045826146,0.0008247243,0.0035760237,0.000019046442],"about_ca_topic_score_codex":0.0049962504,"about_ca_topic_score_gemma":0.0030021658,"teacher_disagreement_score":0.0049962504,"about_ca_system_score_codex":0.0017146808,"about_ca_system_score_gemma":0.0017326972,"threshold_uncertainty_score":0.01244092},"labels":[],"label_agreement":null},{"id":"W2976167914","doi":"10.5430/rwe.v10n3p78","title":"The Relationship Between Financial Crisis and Energy Efficiency: A Sectoral Study in Turkey","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy and Environment Impacts","field":"Environmental Science","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":"Energy intensity; Divisia index; Financial crisis; Efficient energy use; Energy consumption; Profitability index; Economics; Cash flow; Business; Finance; Index (typography); Monetary economics; Natural resource economics; Macroeconomics","score_opus":0.06504655037267226,"score_gpt":0.3220443899601902,"score_spread":0.25699783958751793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976167914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998777,0.00024609786,0.00003724824,0.00010347059,0.0000041697654,0.000006699043,0.00016458739,0.0000013505048,0.00065936655],"genre_scores_gemma":[0.99952507,0.00018294825,0.00002361993,0.000016044873,0.0000032315036,0.0000027061628,0.00013007251,8.076563e-7,0.00011546635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995524,0.000096381744,0.0000488697,0.000050601247,0.000049359634,0.00020243974],"domain_scores_gemma":[0.9989355,0.00022535885,0.0004552478,0.000031682084,0.00019122162,0.0001609064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005485825,0.00027457427,0.00031143602,0.0014541183,0.0004696717,0.0010808762,0.00032054752,0.0004916891,0.0015538054],"category_scores_gemma":[0.0009382546,0.00021783667,0.00046747574,0.0022958259,0.00053492276,0.00063423696,0.00064121716,0.0004909568,0.0002166312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002342649,0.00021499446,0.98650813,0.00007208415,0.000069876536,0.0014288548,0.001508416,0.00072014163,0.00028329028,0.00042657336,0.00058226706,0.007951107],"study_design_scores_gemma":[0.000004217812,0.0000856127,0.9911171,0.000026936867,0.000023599241,0.0002800386,0.0068434305,0.0008397578,0.00010190085,0.000062863284,0.000605613,0.000008968237],"about_ca_topic_score_codex":0.03072283,"about_ca_topic_score_gemma":0.028296284,"teacher_disagreement_score":0.03072283,"about_ca_system_score_codex":0.0019245371,"about_ca_system_score_gemma":0.0009164896,"threshold_uncertainty_score":0.061088026},"labels":[],"label_agreement":null},{"id":"W2976245207","doi":"10.5430/rwe.v10n3p89","title":"Predicting Financial Vulnerability in Malaysia: Evidence From the Signals Approach","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Malaysia Sarawak","keywords":"Vulnerability (computing); Financial crisis; Construct (python library); Predictive power; Economics; Stock (firearms); Empirical evidence; Econometrics; Macroeconomics; Computer science; Geography","score_opus":0.07354164710394578,"score_gpt":0.3069639220165014,"score_spread":0.23342227491255563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976245207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975327,0.00017294695,0.0003301363,0.00031481494,0.0000057303005,0.000013050346,0.00024825186,0.0000051281013,0.0013771384],"genre_scores_gemma":[0.99929106,0.00020286991,0.00018597135,0.000020372074,0.000009179542,0.000005302926,0.0001564479,9.999944e-7,0.0001278633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886876,0.00058681046,0.00009480304,0.00012665607,0.0001845554,0.00013840223],"domain_scores_gemma":[0.98723733,0.00661939,0.0040430175,0.00048627445,0.000943703,0.0006702158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026221927,0.0006435423,0.00030324966,0.0020212673,0.00034539608,0.0012159055,0.00046292582,0.0005089726,0.0014708989],"category_scores_gemma":[0.012205913,0.00020290122,0.00044499818,0.0014402714,0.0005919151,0.0016527325,0.001574502,0.0009510811,0.00034121776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017007627,0.00011623717,0.9843796,0.00003894965,0.0001090119,0.00017907956,0.00047789063,0.002150993,0.00007637421,0.00062684447,0.000354467,0.011320536],"study_design_scores_gemma":[0.00001792678,0.00045932952,0.9641606,0.00012188176,0.00014914066,0.00018511023,0.0030824738,0.028486317,0.00043156146,0.0017324536,0.0011398564,0.0000334224],"about_ca_topic_score_codex":0.015293524,"about_ca_topic_score_gemma":0.01195814,"teacher_disagreement_score":0.015293524,"about_ca_system_score_codex":0.00055571715,"about_ca_system_score_gemma":0.00076771143,"threshold_uncertainty_score":0.030409038},"labels":[],"label_agreement":null},{"id":"W2976275921","doi":"10.5430/rwe.v10n3p99","title":"An Empirical Study on the Relationship Between Foreign Investors and Earnings Quality","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Tongmyong University","keywords":"Earnings quality; Earnings; Accrual; Panel data; Business; Quality (philosophy); Relevance (law); Conservatism; Foreign direct investment; Value (mathematics); Earnings response coefficient; Accounting; Monetary economics; Economics; Macroeconomics; Econometrics","score_opus":0.18760358073219896,"score_gpt":0.3941784338329041,"score_spread":0.2065748531007051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976275921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965779,0.00072230794,0.0002203706,0.0003020275,0.00000993154,0.0000071392374,0.0002617627,0.0000032749335,0.0018952581],"genre_scores_gemma":[0.99884915,0.00031745867,0.0000862518,0.00003725001,0.000024049175,0.0000025011084,0.00028692748,0.000001259564,0.00039507466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934596,0.00015943965,0.00010165217,0.00009019197,0.00016507567,0.00013770167],"domain_scores_gemma":[0.98087984,0.004797084,0.011613095,0.00052016304,0.0012386846,0.0009511342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015339092,0.00015579164,0.0002074811,0.00086138764,0.0002790824,0.0012288059,0.00020109714,0.00037209655,0.0021222006],"category_scores_gemma":[0.008591754,0.000080047466,0.00030605655,0.0017355633,0.00036650168,0.0010970958,0.0004838638,0.0006622722,0.000204441],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002181504,0.000025721834,0.9967174,0.000009367377,0.000028547112,0.00005245898,0.00007935064,0.00006636105,0.000035593857,0.00017670073,0.00009297623,0.0026936154],"study_design_scores_gemma":[0.0000027167869,0.000030868883,0.9983462,0.000016800255,0.000034512577,0.00007519751,0.0004761875,0.00031349182,0.000096079064,0.0001573877,0.00044666577,0.000003986192],"about_ca_topic_score_codex":0.006208773,"about_ca_topic_score_gemma":0.006749742,"teacher_disagreement_score":0.006208773,"about_ca_system_score_codex":0.00038706817,"about_ca_system_score_gemma":0.00044371412,"threshold_uncertainty_score":0.012345254},"labels":[],"label_agreement":null},{"id":"W2976832345","doi":"10.5430/rwe.v10n3p45","title":"The Essentials and Challenges of Online Business Among Bumiputera SME Entrepreneurs in Malaysia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology Adoption and User Behaviour","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":"Universiti Teknologi MARA","keywords":"Revenue; Business; Coaching; Online business; Marketing; The Internet; Population; E-commerce; Entrepreneurship; Finance; Economics; Management","score_opus":0.19171918077334718,"score_gpt":0.42020600422559035,"score_spread":0.22848682345224317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976832345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964521,0.0002803219,0.000046240915,0.0013592957,0.0000073563883,0.000006569073,0.0000075443395,0.0000012162901,0.0018392735],"genre_scores_gemma":[0.99849594,0.00046225532,0.00007459078,0.00013858324,0.0000033318124,0.000004807263,0.0000060584325,0.0000011172889,0.0008132098],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9985176,0.0005946755,0.0000909528,0.00010054721,0.00025889222,0.00043737233],"domain_scores_gemma":[0.9966485,0.00086191256,0.00085634604,0.000066300854,0.00023910402,0.0013278725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014644273,0.00014665052,0.0002370476,0.0005612412,0.0029468578,0.0038880704,0.00046737216,0.00086496293,0.0021115858],"category_scores_gemma":[0.0035349068,0.00028006246,0.00016423994,0.0007650046,0.0013803396,0.0021131188,0.0019689868,0.0010990514,0.00025021657],"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":[0.0001207107,0.00048091015,0.6699235,0.00023469729,0.000023696397,0.007099987,0.26448655,0.0001615317,0.001245031,0.0036495372,0.0024072295,0.05016663],"study_design_scores_gemma":[0.0000044326894,0.00013269692,0.20796546,0.00025905433,0.000011358619,0.0018337767,0.7799735,0.0004215294,0.00021252544,0.0008012453,0.00835576,0.000028616198],"about_ca_topic_score_codex":0.008688105,"about_ca_topic_score_gemma":0.022185666,"teacher_disagreement_score":0.008688105,"about_ca_system_score_codex":0.0011382077,"about_ca_system_score_gemma":0.002565373,"threshold_uncertainty_score":0.017275035},"labels":[],"label_agreement":null},{"id":"W2977002603","doi":"10.5430/rwe.v10n3p65","title":"An Analysis of the #FeesMustFall Agenda and Its Implications for the Survival of Education in South Africa: The NWU Mafikeng Campus Writing Centre Experience","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Higher Education Practises and Engagement","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":"Government (linguistics); Higher education; Sociology; Economic growth; Public administration; Political science; Economics","score_opus":0.1549545854772525,"score_gpt":0.4514013303046713,"score_spread":0.2964467448274188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977002603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9725406,0.00053030485,0.00021453662,0.006882908,0.00007363038,0.00003617524,0.000023007959,0.0000066747093,0.019692147],"genre_scores_gemma":[0.9944458,0.00029701574,0.00006949,0.00029953718,0.000016444374,0.000019379499,0.000007270466,0.000010400567,0.004834624],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9932841,0.0040547824,0.0001818512,0.00027992597,0.00061709207,0.0015821609],"domain_scores_gemma":[0.99291754,0.004257011,0.00079497235,0.00017902382,0.00033978163,0.0015117003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006443451,0.00033796218,0.0005647418,0.00160904,0.023089856,0.012193955,0.0012497838,0.0023969393,0.0069154077],"category_scores_gemma":[0.013416548,0.00037854406,0.00023823486,0.0024292725,0.016733935,0.005067962,0.013813833,0.003979283,0.0004740515],"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":[0.000023235005,0.000021346948,0.0021281508,0.00005661271,0.0000014707132,0.0016788499,0.9822933,0.000024723699,0.0004088936,0.007940168,0.00065428927,0.004768832],"study_design_scores_gemma":[0.0000024422231,0.000019419076,0.0032726298,0.000085090454,0.0000014512286,0.00023680754,0.9774575,0.000030568714,0.00014117477,0.00057947205,0.018166784,0.000006533385],"about_ca_topic_score_codex":0.0127416,"about_ca_topic_score_gemma":0.02727146,"teacher_disagreement_score":0.023089856,"about_ca_system_score_codex":0.009141794,"about_ca_system_score_gemma":0.00672612,"threshold_uncertainty_score":0.066328645},"labels":[],"label_agreement":null},{"id":"W2977079161","doi":"10.5430/rwe.v10n3p108","title":"Recent Developments in Corporate Governance Codes in the GCC Region","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Corporate governance; Accounting; Business; Shareholder; Code of conduct; Best practice; Finance; Economics; Political science; Management","score_opus":0.09973558086987938,"score_gpt":0.29635947116131695,"score_spread":0.19662389029143756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977079161","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":[0.8655015,0.036214247,0.0025694633,0.021700844,0.0012510323,0.000072186565,0.0013358381,0.00010381272,0.07125107],"genre_scores_gemma":[0.9809672,0.009891404,0.0022944948,0.001295761,0.00023141374,0.000021424501,0.0008086999,0.000026165993,0.004463389],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981316,0.0005238245,0.00022451146,0.000264346,0.000580575,0.0002752396],"domain_scores_gemma":[0.9841009,0.002927135,0.0057965065,0.00074757455,0.005532168,0.00089567376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002634935,0.00018860996,0.000110064895,0.0026223662,0.0007373158,0.0023319845,0.00031861375,0.00047693143,0.0010707108],"category_scores_gemma":[0.010674046,0.00009290943,0.00011774638,0.0050957045,0.0014066542,0.0010785265,0.0008252587,0.000838901,0.000107621796],"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":[0.00026410903,0.000059144637,0.32973012,0.0014281261,0.000078908444,0.0024167963,0.024507161,0.005220501,0.0032810303,0.16227905,0.027446361,0.44328862],"study_design_scores_gemma":[0.000013602061,0.00008709193,0.45772985,0.0015273729,0.000044464985,0.0013013075,0.019613853,0.0012433694,0.0019412386,0.006914024,0.5094904,0.00009348564],"about_ca_topic_score_codex":0.04998287,"about_ca_topic_score_gemma":0.027459916,"teacher_disagreement_score":0.04998287,"about_ca_system_score_codex":0.004679219,"about_ca_system_score_gemma":0.0036682314,"threshold_uncertainty_score":0.09938389},"labels":[],"label_agreement":null},{"id":"W2979553795","doi":"10.5430/rwe.v10n3p136","title":"Subjective Norms and Intention- A Study of Crowdfunding in India","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"FinTech, Crowdfunding, Digital Finance","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":"Referent; Psychology; Test (biology); Social psychology; Supervisor; Reliability (semiconductor); Marketing; Business; Political science","score_opus":0.047670342643917854,"score_gpt":0.3108719339714252,"score_spread":0.26320159132750737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979553795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822575,0.00002542429,0.000063458276,0.00008748845,0.0000033168112,0.000010889562,0.000022160133,0.0000015284104,0.001560051],"genre_scores_gemma":[0.99967194,0.000028948798,0.00004239781,0.000019349493,0.0000029171383,0.000009144674,0.000013113952,0.0000011187499,0.00021113781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976023,0.0011580198,0.00017272742,0.00013789364,0.00055302144,0.00037616395],"domain_scores_gemma":[0.98442566,0.007543251,0.0038854722,0.0007017089,0.001542936,0.0019010473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002587673,0.00016764987,0.00026948174,0.0012199932,0.0015575485,0.001980349,0.00043958388,0.00032869863,0.0012785803],"category_scores_gemma":[0.008575219,0.00023860518,0.00035565486,0.0011405163,0.0018922213,0.0007570436,0.0009065182,0.001143395,0.00017859576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008061661,0.0005800897,0.8655396,0.000066451496,0.000034563927,0.00034213052,0.12250492,0.00009769097,0.00052431703,0.0011269643,0.00026458013,0.008838131],"study_design_scores_gemma":[0.0000051562142,0.00027822802,0.8633715,0.000041127965,0.000017339456,0.00018293352,0.13352916,0.00044101587,0.0002378338,0.000237509,0.0016251449,0.000033187764],"about_ca_topic_score_codex":0.028245935,"about_ca_topic_score_gemma":0.019124707,"teacher_disagreement_score":0.028245935,"about_ca_system_score_codex":0.001543251,"about_ca_system_score_gemma":0.001786119,"threshold_uncertainty_score":0.056163013},"labels":[],"label_agreement":null},{"id":"W2979722491","doi":"10.5430/rwe.v10n3p147","title":"Employees Aren’t Factory Slaves: Factors Determining Work Demand and Implications for HRM Practices","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Work-Family Balance Challenges","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":"Collectivism; Context (archaeology); Work (physics); Hofstede's cultural dimensions theory; Factory (object-oriented programming); Constraint (computer-aided design); Sociology; Human resource management; Marketing; Public relations; Business; Economics; Management; Political science; Social science; Geography; Engineering; Individualism; Law","score_opus":0.20118082778414736,"score_gpt":0.4450092176375843,"score_spread":0.2438283898534369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979722491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826366,0.000121465186,0.00007419879,0.00041102822,0.0000053813023,0.0000020256355,0.000016453552,5.6300206e-7,0.0011052926],"genre_scores_gemma":[0.99965954,0.000061842,0.000028937482,0.00002589169,0.000004420937,0.0000020480693,0.000011227596,7.657647e-7,0.00020529113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990695,0.00035841978,0.00006554482,0.000082264945,0.000196098,0.00022820623],"domain_scores_gemma":[0.99682605,0.0015385265,0.00065446174,0.00012640984,0.00024354842,0.0006109031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014225981,0.00012468273,0.00020379428,0.00061656366,0.0012756353,0.0010697605,0.0002902173,0.00035836097,0.0033272444],"category_scores_gemma":[0.0040133535,0.00012916788,0.00016243348,0.000661577,0.00095818314,0.00076765957,0.00091895374,0.0004116899,0.00027779912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057808127,0.00012622554,0.9516147,0.00005146045,0.000015709224,0.00029023836,0.028872535,0.00005694154,0.0004859859,0.0006841181,0.0005877977,0.017156487],"study_design_scores_gemma":[0.0000022082318,0.000050194605,0.88873756,0.000048108668,0.000004613759,0.00016186306,0.10895131,0.00014088236,0.000063425316,0.00040833253,0.0014242483,0.0000072272546],"about_ca_topic_score_codex":0.004514736,"about_ca_topic_score_gemma":0.007411467,"teacher_disagreement_score":0.004514736,"about_ca_system_score_codex":0.00043926996,"about_ca_system_score_gemma":0.00084607786,"threshold_uncertainty_score":0.01113075},"labels":[],"label_agreement":null},{"id":"W2991731165","doi":"10.5430/rwe.v10n3p199","title":"Trade Liberalization: Is It Desirable for All Developing Economies?: A Literature Review","year":2019,"lang":"en","type":"review","venue":"Research in World Economy","topic":"Global trade 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":"Developing country; Free trade; Economics; Liberalization; International economics; International trade; Trade barrier; Market economy; Economic growth","score_opus":0.5061619902865728,"score_gpt":0.4195952809624506,"score_spread":0.08656670932412225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991731165","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":[0.00011701126,0.9980825,0.00004167552,0.0009914832,0.000099849734,0.0000018681909,0.00002108193,0.0000017699032,0.000642748],"genre_scores_gemma":[0.00091576285,0.99860364,0.000035691668,0.0002473718,0.00010627219,0.0000016104082,0.000014623894,6.489137e-7,0.00007441536],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9994759,0.000117445794,0.00009137741,0.00010789258,0.00016383843,0.000043542976],"domain_scores_gemma":[0.99675375,0.0022140248,0.00043927567,0.000038244045,0.0004470306,0.00010767017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014999291,0.0006285075,0.0012802314,0.003396217,0.00049761723,0.002263103,0.00085825194,0.0014938576,0.005200381],"category_scores_gemma":[0.0041100797,0.0003001922,0.0006361039,0.0069239703,0.00091784284,0.0024265458,0.00074260694,0.0017741505,0.00097144704],"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":[0.000086977554,0.00007521001,0.00116398,0.07934466,0.0002718662,0.00019341585,0.0003016797,0.00064135436,0.00039971806,0.01739571,0.05580325,0.8443222],"study_design_scores_gemma":[0.000014713916,0.000058673584,0.0042960993,0.07564425,0.0006581874,0.0008588923,0.0006150605,0.00017616208,0.00022767822,0.012252978,0.9051615,0.000035807112],"about_ca_topic_score_codex":0.003406769,"about_ca_topic_score_gemma":0.0060218177,"teacher_disagreement_score":0.005200381,"about_ca_system_score_codex":0.0012064565,"about_ca_system_score_gemma":0.0038195853,"threshold_uncertainty_score":0.017397046},"labels":[],"label_agreement":null},{"id":"W2992040145","doi":"10.5430/rwe.v10n3p217","title":"Effect of Unemployment Rate on Growth Rate of Gross Domestic Product of Jordan","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Unemployment 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":"Economics; Unemployment; Gross domestic product; Unemployment rate; Ordinary least squares; Growth rate; Real gross domestic product; Econometrics; Misery index; Labour economics; Demographic economics; Macroeconomics; Mathematics","score_opus":0.048900166368559365,"score_gpt":0.3113475838459956,"score_spread":0.2624474174774362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992040145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890308,0.0012036887,0.00016577811,0.0007098638,0.000035795078,0.000011109332,0.0012031636,0.000027244032,0.0076125213],"genre_scores_gemma":[0.99487454,0.0007287727,0.000108655906,0.000050526993,0.000029971505,0.000010510216,0.0013303123,0.0000098412,0.0028567784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993698,0.00017017548,0.000053012478,0.00007820523,0.00016989298,0.00015892395],"domain_scores_gemma":[0.9973574,0.00058941834,0.00082885614,0.00009122297,0.00076683314,0.00036625259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008665922,0.00024426053,0.00026037777,0.00075055566,0.00025653982,0.00089222105,0.00020739803,0.00021831512,0.002742582],"category_scores_gemma":[0.0037339085,0.0000828799,0.000376002,0.0009954106,0.0002387012,0.0003990318,0.00071198144,0.0005208848,0.00057103316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020853047,0.00006182765,0.9811329,0.000075277145,0.00009901187,0.00029876622,0.00039496383,0.0022613006,0.00034559725,0.00085121935,0.0021523521,0.012118284],"study_design_scores_gemma":[0.000008893468,0.000115164956,0.9902586,0.000047381352,0.000044106106,0.00012274548,0.0013279688,0.0024359724,0.0005370962,0.00022722993,0.004864921,0.000010075765],"about_ca_topic_score_codex":0.019993855,"about_ca_topic_score_gemma":0.017537657,"teacher_disagreement_score":0.019993855,"about_ca_system_score_codex":0.0007212383,"about_ca_system_score_gemma":0.001142183,"threshold_uncertainty_score":0.039754927},"labels":[],"label_agreement":null},{"id":"W2992127713","doi":"10.5430/rwe.v10n3p263","title":"Social Versus Financial Performance of Microfinance: Bangladesh Perspective","year":2018,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Malaysia Pahang","keywords":"Microfinance; Outreach; Financial services; Poverty; Sustainability; Business; Financial inclusion; Finance; Economics; Virtuous circle and vicious circle; Financial system; Economic growth","score_opus":0.11914929480730543,"score_gpt":0.3583768813111992,"score_spread":0.23922758650389378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992127713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87222224,0.004877502,0.0005874611,0.020810274,0.00008989032,0.000032811553,0.0036674624,0.000015984242,0.09769627],"genre_scores_gemma":[0.9966534,0.0010497847,0.000062326086,0.00025201705,0.000030924057,0.000005947517,0.00026242394,0.000003056315,0.0016802219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935716,0.00017198725,0.000031808195,0.00006880425,0.0001385337,0.00023170821],"domain_scores_gemma":[0.9969074,0.0005458323,0.0011605796,0.00007670052,0.0005368894,0.0007725364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006961935,0.00031773953,0.0002498616,0.002080138,0.0006591669,0.0020910823,0.00027847054,0.0005172594,0.007405232],"category_scores_gemma":[0.0024419602,0.00007431341,0.0002506545,0.0035235155,0.0013627025,0.0021794278,0.0012828789,0.0011639505,0.0006652235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011533862,0.00014343968,0.9109656,0.00022138792,0.00012848852,0.0007146415,0.0061427783,0.0013036683,0.0005804545,0.026312593,0.0064895735,0.046882022],"study_design_scores_gemma":[0.0000047755566,0.00017117074,0.94717544,0.00042576756,0.00004805831,0.00023838248,0.0198153,0.0007920171,0.00037761478,0.005175519,0.025735982,0.00004008573],"about_ca_topic_score_codex":0.02504524,"about_ca_topic_score_gemma":0.03835561,"teacher_disagreement_score":0.02504524,"about_ca_system_score_codex":0.0028366188,"about_ca_system_score_gemma":0.0011835841,"threshold_uncertainty_score":0.049798906},"labels":[],"label_agreement":null},{"id":"W2992144550","doi":"10.5430/rwe.v10n3p174","title":"Political Economy Analysis of Voter Participation and Choices in National Elections in Ghana’s Fourth Republican Era","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Electoral Systems and Political Participation","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":"Turnout; Presidential system; Population; Political science; Voter turnout; Demographic economics; Politics; Public administration; Ethnic group; Economic growth; Voting; Demography; Economics; Sociology; Law","score_opus":0.12158016867439043,"score_gpt":0.45632427320944374,"score_spread":0.3347441045350533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992144550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988814,0.00005935907,0.00005393228,0.00007706046,0.0000019277877,0.000008411202,0.00021888346,8.4389904e-7,0.0006982035],"genre_scores_gemma":[0.99934036,0.0000327864,0.00003662928,0.000008739401,0.0000037572215,0.000009145347,0.00017317034,9.351465e-7,0.0003943916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991949,0.000412069,0.000032081854,0.00007291382,0.000056480298,0.00023159261],"domain_scores_gemma":[0.9963186,0.0013976417,0.0016972274,0.00010270561,0.000173091,0.00031072466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012072639,0.00012771144,0.00026446697,0.00073894695,0.00035565556,0.0006985721,0.00021660436,0.00025889868,0.004912617],"category_scores_gemma":[0.0038358874,0.00014590917,0.0003264305,0.0016205574,0.0003361941,0.000434834,0.00047501206,0.00052347,0.0005314342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015780774,0.000072336654,0.9942888,0.000022507715,0.00003424203,0.00015975138,0.0011477977,0.00043311194,0.00014051957,0.00044352392,0.00026133732,0.0028381145],"study_design_scores_gemma":[0.000003653598,0.00004232789,0.99714524,0.0000056099866,0.0000064830815,0.000027365242,0.0016235622,0.00062743307,0.00002720389,0.00008707719,0.00040189334,0.0000022125582],"about_ca_topic_score_codex":0.018761085,"about_ca_topic_score_gemma":0.03246233,"teacher_disagreement_score":0.018761085,"about_ca_system_score_codex":0.00090043806,"about_ca_system_score_gemma":0.00043566004,"threshold_uncertainty_score":0.037303805},"labels":[],"label_agreement":null},{"id":"W2993202837","doi":"10.5430/rwe.v10n3p205","title":"Do Corporate Governance Practices Influence Working Capital Management Efficiency? Evidence From Listed Manufacturing Companies in Sri Lanka","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Working Capital and Financial Performance","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":"Working capital; Corporate governance; Business; Cash conversion cycle; Accounting; Return on capital employed; Finance; Cash management; Cash flow; Economics; Capital formation; Human capital; Financial capital","score_opus":0.09539305636501573,"score_gpt":0.3031666679077762,"score_spread":0.20777361154276047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993202837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974191,0.0006682319,0.000041882857,0.00020418722,0.0000019241304,0.0000058203095,0.00011627538,0.0000016995638,0.0015408144],"genre_scores_gemma":[0.9990658,0.00052200776,0.000035070836,0.000030013243,0.000004687072,0.000003200472,0.00015050263,6.596314e-7,0.00018818391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991893,0.00024057516,0.000114483766,0.000111145964,0.00015932348,0.00018516334],"domain_scores_gemma":[0.98923206,0.0031246666,0.0059167016,0.00031826022,0.00078724837,0.0006210619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093600893,0.00020906024,0.00022054746,0.0015915601,0.00046249974,0.0012639493,0.00041624502,0.0002695082,0.0019499914],"category_scores_gemma":[0.0037850458,0.00018258758,0.00034060903,0.0024863477,0.00065018074,0.0006658105,0.00071896956,0.0004172792,0.00022746588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026397178,0.00005781542,0.99054646,0.000094604344,0.000092398914,0.00036432222,0.0019127652,0.00011476192,0.00012196855,0.00022061885,0.00022783008,0.0062200874],"study_design_scores_gemma":[0.000002041954,0.000037138336,0.99609596,0.000049770057,0.0000464057,0.000056359975,0.0031429317,0.000075419135,0.000059202066,0.000029443438,0.00040157075,0.0000037466953],"about_ca_topic_score_codex":0.029122235,"about_ca_topic_score_gemma":0.05782505,"teacher_disagreement_score":0.029122235,"about_ca_system_score_codex":0.00073568884,"about_ca_system_score_gemma":0.0009828396,"threshold_uncertainty_score":0.057905436},"labels":[],"label_agreement":null},{"id":"W2994135785","doi":"10.5430/rwe.v10n3p160","title":"Symbolic Consumption of Advertisements for Male Perfumes: Effects of Advertising Appeals and Product Involvement on Advertising Effectiveness","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Consumer Behavior in Brand Consumption and Identification","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":"Ministry of Science and Technology, Taiwan","keywords":"Appeal; Advertising; Product (mathematics); Admiration; Consumption (sociology); Sexual attraction; Business; Marketing; Appeal to emotion; Psychology; Social psychology; Sociology; Law; Political science","score_opus":0.05238552680442945,"score_gpt":0.3322198557469102,"score_spread":0.2798343289424808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994135785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840933,0.000041173145,0.00009054314,0.000016173812,0.0000039450397,0.000019018808,0.000010327111,0.0000029457506,0.0014066122],"genre_scores_gemma":[0.9984617,0.00005398391,0.0003943659,0.000035266734,0.000008627233,0.00004295935,0.000033743756,0.0000055378873,0.0009638484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985153,0.00060645014,0.00010873638,0.00023831503,0.00036828007,0.00016281084],"domain_scores_gemma":[0.9852948,0.011039834,0.0017657444,0.00049279624,0.0005166108,0.0008902767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023413997,0.00042273046,0.00036162435,0.00044808275,0.00030690656,0.0011856542,0.00024390538,0.0003775006,0.0031537677],"category_scores_gemma":[0.0072067166,0.00026714613,0.00042543098,0.00026535246,0.00058173086,0.0005880343,0.00061093,0.0009613104,0.00020891376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.032209024,0.044684246,0.6356715,0.00063938805,0.0006457073,0.00067872094,0.011974347,0.00084831554,0.19181177,0.0022207592,0.0003936093,0.07822256],"study_design_scores_gemma":[0.00016048487,0.0057118726,0.98049325,0.000020244966,0.0002845635,0.000088122055,0.0010672357,0.00133232,0.010009507,0.0003089199,0.00048783905,0.000035553054],"about_ca_topic_score_codex":0.0009302469,"about_ca_topic_score_gemma":0.0013053206,"teacher_disagreement_score":0.0031537677,"about_ca_system_score_codex":0.00030790773,"about_ca_system_score_gemma":0.00035864874,"threshold_uncertainty_score":0.012382686},"labels":[],"label_agreement":null},{"id":"W2994196749","doi":"10.5430/rwe.v10n3p226","title":"Growth Impacts of Income Inequality: Empirical Evidence From Nigeria","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and 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":"Economics; Inequality; Economic inequality; Extant taxon; Nexus (standard); Context (archaeology); Development economics; Empirical evidence; Panel data; Developing country; Demographic economics; Income distribution; Economic growth; Econometrics; Geography","score_opus":0.2265208817149801,"score_gpt":0.37800409076295294,"score_spread":0.15148320904797283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994196749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885251,0.0035273607,0.00013706322,0.00043656692,0.000014159796,0.0000101799305,0.0002961913,0.000001417684,0.0070519703],"genre_scores_gemma":[0.99494666,0.0043093185,0.000060742874,0.00005407114,0.000016036593,0.0000042550446,0.00025651747,0.0000018691985,0.0003506456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981004,0.000055700308,0.000017791263,0.000026369467,0.000026110069,0.00006400815],"domain_scores_gemma":[0.99814284,0.001035207,0.0004884486,0.00004491698,0.00017298873,0.000115640345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006493995,0.00019063186,0.00027206694,0.001143014,0.0006483705,0.0009353822,0.0001651081,0.00027865646,0.0019282115],"category_scores_gemma":[0.001865845,0.00013767222,0.00015375565,0.0023040825,0.00071187655,0.0007453866,0.0008994764,0.0005855229,0.00020711507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034171846,0.00031099727,0.9366874,0.0006318278,0.00006732038,0.0021170676,0.00955493,0.0007920574,0.00046409748,0.008471316,0.0014486542,0.039112672],"study_design_scores_gemma":[0.0000109212915,0.00009331722,0.9508356,0.0010978131,0.000106514104,0.00048733002,0.036363345,0.0011075045,0.00054818206,0.001783358,0.007550562,0.00001564576],"about_ca_topic_score_codex":0.015866136,"about_ca_topic_score_gemma":0.028099606,"teacher_disagreement_score":0.015866136,"about_ca_system_score_codex":0.0005974592,"about_ca_system_score_gemma":0.0006617028,"threshold_uncertainty_score":0.031547546},"labels":[],"label_agreement":null},{"id":"W2994219809","doi":"10.5430/rwe.v10n3p273","title":"The Political Economy Dynamics of Rural Household Income Diversification: A Review of the International Literature","year":2019,"lang":"en","type":"review","venue":"Research in World Economy","topic":"Income, Poverty, and Inequality","field":"Social Sciences","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":"Diversification (marketing strategy); Economics; Poverty; Livelihood; Welfare; Economic inequality; Development economics; Income distribution; Household income; Labour economics; Economic growth; Inequality; Business; Market economy; Agriculture; Geography","score_opus":0.1697659046076767,"score_gpt":0.4363358239952956,"score_spread":0.26656991938761887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994219809","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":[0.00026766403,0.99852544,0.00007271682,0.0002680101,0.000057659792,0.000002510711,0.000016322176,0.0000016550944,0.00078814],"genre_scores_gemma":[0.001687497,0.99803144,0.00006745576,0.00007049335,0.000049891736,0.0000027897468,0.000012364355,5.577323e-7,0.00007755822],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9996934,0.00009741625,0.00004779311,0.00005840386,0.000074678304,0.000028347336],"domain_scores_gemma":[0.9982622,0.0013143782,0.00017804193,0.000025747971,0.00017737725,0.000042164716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009422622,0.0006014761,0.0011451446,0.004461318,0.0003807235,0.001512733,0.0005343242,0.0009215925,0.0033580002],"category_scores_gemma":[0.0021583552,0.00029309271,0.0007288595,0.0077264886,0.0007365788,0.001586826,0.0007070407,0.00090650015,0.0004246115],"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":[0.00006007119,0.000070992355,0.0012164302,0.07409109,0.00023193294,0.00022539755,0.00066932186,0.0005967513,0.00036372896,0.012549668,0.016176404,0.8937482],"study_design_scores_gemma":[0.000014697489,0.00013948313,0.013612792,0.07590362,0.00068364275,0.0017512474,0.0015468475,0.0003116595,0.00037048123,0.008469,0.89714384,0.00005267109],"about_ca_topic_score_codex":0.0030077214,"about_ca_topic_score_gemma":0.004309363,"teacher_disagreement_score":0.004461318,"about_ca_system_score_codex":0.000989601,"about_ca_system_score_gemma":0.0026259953,"threshold_uncertainty_score":0.011233628},"labels":[],"label_agreement":null},{"id":"W2994613929","doi":"10.5430/rwe.v10n3p419","title":"Preparedness of Lao People’s Democratic Republic to Implement ASEAN Common Visa (ACV)","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration and Labor Dynamics","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":"Preparedness; European union; Economic growth; Population; Political science; Government (linguistics); Politics; Public relations; Business; Sociology; International trade; Economics","score_opus":0.061880424798581427,"score_gpt":0.42719029631480404,"score_spread":0.36530987151622263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994613929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472546,0.00043853722,0.0004561266,0.013966288,0.000110568595,0.0001660417,0.00011317792,0.000030539934,0.03746407],"genre_scores_gemma":[0.9936865,0.00024179264,0.00040912765,0.0019529319,0.000022495518,0.0000944862,0.000058607424,0.0000069536964,0.0035270117],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99344736,0.0031530282,0.00020782051,0.00023350898,0.00067976996,0.0022784711],"domain_scores_gemma":[0.99529725,0.0013840983,0.0009157139,0.00031267275,0.00066646095,0.0014238241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008574555,0.00016982268,0.0001931093,0.00051681855,0.005245742,0.0048696143,0.0005612064,0.001384972,0.0030212037],"category_scores_gemma":[0.0104145985,0.00022058595,0.0002988247,0.000530137,0.0031667463,0.0017016878,0.0031553106,0.0021062153,0.00028429722],"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":[0.0001452347,0.00043081594,0.1287262,0.00040734757,0.00006139867,0.004641139,0.7027488,0.0010261129,0.0084696645,0.05086116,0.018943653,0.083538555],"study_design_scores_gemma":[0.0000198048,0.000312099,0.10201789,0.00026353632,0.00001036583,0.0007045723,0.70076185,0.00032237772,0.00095199625,0.0020751462,0.19248317,0.00007719708],"about_ca_topic_score_codex":0.026158346,"about_ca_topic_score_gemma":0.027905094,"teacher_disagreement_score":0.026158346,"about_ca_system_score_codex":0.003646295,"about_ca_system_score_gemma":0.011736817,"threshold_uncertainty_score":0.052012146},"labels":[],"label_agreement":null},{"id":"W2994747282","doi":"10.5430/rwe.v10n3p344","title":"Towards a Utilitarian Social Welfare Function—Income Inequality and National Welfare Growth in China","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Income, Poverty, 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":"Gini coefficient; Welfare; Economics; Inequality; Economic inequality; Income inequality metrics; China; Income distribution; Measures of national income and output; Social welfare function; Demographic economics; Macroeconomics; Political science; Mathematics; Market economy","score_opus":0.07386252387008878,"score_gpt":0.37711702985828993,"score_spread":0.30325450598820114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994747282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5533432,0.0012454442,0.381901,0.00827742,0.00013748003,0.00015805336,0.0004163228,0.0001826585,0.054338556],"genre_scores_gemma":[0.9826833,0.00039122725,0.014623844,0.0001026942,0.000035125096,0.00011641517,0.00012493908,0.000024335874,0.001898088],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99864393,0.00080885785,0.000055530654,0.000108575776,0.0002406868,0.00014241372],"domain_scores_gemma":[0.998922,0.00034575406,0.0001635708,0.0001116499,0.00039871907,0.00005828465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043616197,0.00047627138,0.00036106666,0.0019600592,0.0006302834,0.0022024445,0.0006175413,0.0005485219,0.0011726326],"category_scores_gemma":[0.004534874,0.0001682841,0.0006455117,0.001649889,0.0017931226,0.002790847,0.0015455936,0.0009632275,0.00011046361],"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":[0.00005684776,0.00011344083,0.049822934,0.00016373661,0.00008570725,0.0002748129,0.0012402545,0.1578391,0.0013215232,0.7292858,0.0050053545,0.05479052],"study_design_scores_gemma":[0.000017038401,0.00011163452,0.03642542,0.00018687984,0.00004862865,0.00020607925,0.0013564993,0.549501,0.00089432095,0.400758,0.010445361,0.00004905293],"about_ca_topic_score_codex":0.0073775556,"about_ca_topic_score_gemma":0.004052777,"teacher_disagreement_score":0.0073775556,"about_ca_system_score_codex":0.0032487356,"about_ca_system_score_gemma":0.0021253463,"threshold_uncertainty_score":0.023571312},"labels":[],"label_agreement":null},{"id":"W2994835961","doi":"10.5430/rwe.v10n3p320","title":"Intensity of Sales Turnover and Promotional Expenditure and the Likelihood of New Product Success: Configurational Matrix of Fast Moving Consumer Goods (FMCG)","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"SMEs Development and Digital Marketing","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":"Marketing; Purchasing; Originality; Marketing mix; Product (mathematics); Business; Promotion (chess); Fast-moving consumer goods; Sales promotion; Phenomenon; Marketing management; Marketing strategy; Return on marketing investment; Marketing research; Economics; Qualitative research; Sales management; Sociology","score_opus":0.0398695294297544,"score_gpt":0.33873982752419773,"score_spread":0.2988702980944433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994835961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975501,0.00004701624,0.00011987964,0.000044990247,0.0000029416328,0.000011866013,0.000099676916,0.000003298031,0.0021203505],"genre_scores_gemma":[0.9994485,0.000025069508,0.0001004758,0.0000036288952,0.000004111383,0.000012195725,0.00007310272,9.326958e-7,0.00033193635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920875,0.00023811193,0.00011013055,0.00010683854,0.00021140257,0.00012466627],"domain_scores_gemma":[0.98911405,0.004173907,0.0047852458,0.00031285873,0.000544773,0.001069229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011569782,0.000173126,0.00015531982,0.0015590109,0.00045148618,0.0012923188,0.00032002965,0.0003498194,0.0073149665],"category_scores_gemma":[0.00658569,0.00014247872,0.00032216948,0.0014824542,0.00044169163,0.00081071793,0.00060956023,0.0005470768,0.0005223533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010665784,0.00012468256,0.99440336,0.000017305665,0.000025869751,0.000072595656,0.0005884566,0.00011218655,0.00021303685,0.00017955624,0.00008156345,0.004074693],"study_design_scores_gemma":[0.0000013949501,0.000077305536,0.9975434,0.000008168444,0.000009681082,0.00010142799,0.0015335171,0.00040781993,0.00006508022,0.0001084708,0.00013997142,0.000003785454],"about_ca_topic_score_codex":0.0026108476,"about_ca_topic_score_gemma":0.0038701848,"teacher_disagreement_score":0.0073149665,"about_ca_system_score_codex":0.00061933964,"about_ca_system_score_gemma":0.0005033464,"threshold_uncertainty_score":0.024471045},"labels":[],"label_agreement":null},{"id":"W2995081385","doi":"10.5430/rwe.v10n3p366","title":"Pooled Mean Group Approach to Test the Determinants of Financial Integration: Evidence From OECD and G20 Countries","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, 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":"Financial integration; Financial crisis; Economics; Globalization; Short run; Financial globalization; Economic integration; Liberalization; International economics; Regression analysis; Finance; Monetary economics; Macroeconomics; Financial market","score_opus":0.06872832895051542,"score_gpt":0.28053625023201445,"score_spread":0.21180792128149903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995081385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98905295,0.0016294023,0.0032873093,0.00021504665,0.00007881446,0.000046240286,0.002298974,0.000072491326,0.0033187524],"genre_scores_gemma":[0.9941782,0.0004914805,0.0012169109,0.000049611313,0.0000692431,0.00006280244,0.0030345407,0.000010701526,0.000886471],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982974,0.0008637437,0.00009103809,0.00026455408,0.00030058093,0.00018267563],"domain_scores_gemma":[0.9961247,0.0017518487,0.0010847553,0.0004040573,0.00044254088,0.0001921388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003602954,0.0005288641,0.00087900343,0.003560316,0.00044938506,0.00092721486,0.0004735213,0.0005206552,0.0037656282],"category_scores_gemma":[0.005417131,0.0001503978,0.0016468412,0.0034275628,0.00038010933,0.00087167334,0.0010845336,0.00059290207,0.0005883584],"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":[0.00056520023,0.00028638012,0.9527384,0.00018303488,0.00302248,0.00048336945,0.00060815684,0.0028510971,0.0003639226,0.0016036795,0.0029162006,0.034378137],"study_design_scores_gemma":[0.00007671498,0.0014593642,0.9754916,0.00010450475,0.0018746214,0.0003037353,0.0041571734,0.008558988,0.0008756211,0.0013955589,0.005656981,0.000045223096],"about_ca_topic_score_codex":0.007523053,"about_ca_topic_score_gemma":0.0051995227,"teacher_disagreement_score":0.007523053,"about_ca_system_score_codex":0.0003654731,"about_ca_system_score_gemma":0.00056832965,"threshold_uncertainty_score":0.019054472},"labels":[],"label_agreement":null},{"id":"W2995097438","doi":"10.5430/rwe.v10n3p391","title":"Effects of Downsizing on Employee Performance of Selected Manufacturing Firms in Anambra State, Nigeria","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Organizational Downsizing and Restructuring","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":"Absenteeism; Respondent; Business; Job insecurity; Manufacturing; Simple linear regression; Descriptive statistics; Manufacturing sector; Turnover; Data collection; Demographic economics; Operations management; Marketing; Regression analysis; Labour economics; Economics; Statistics; Management; Engineering","score_opus":0.012801565782070272,"score_gpt":0.24454503288533,"score_spread":0.23174346710325971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995097438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997913,0.000028839273,0.000004338411,0.000018191824,9.113998e-7,0.0000013015073,0.000017500797,1.6970218e-7,0.00013742004],"genre_scores_gemma":[0.9998087,0.000048157763,0.000008716772,0.0000061836995,0.0000013724233,0.0000013401927,0.000023176193,9.596801e-8,0.00010210069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996853,0.000089897934,0.000027526652,0.000027180828,0.0000614207,0.00010875431],"domain_scores_gemma":[0.9987847,0.00028744715,0.00055333244,0.000031071362,0.00013752384,0.00020598301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041077516,0.00014430622,0.00014108529,0.00039897894,0.00068315136,0.0005032351,0.00012268066,0.0002211535,0.0009918469],"category_scores_gemma":[0.0010470683,0.000106308675,0.00014093361,0.00037509424,0.0002694401,0.00018573207,0.00036744136,0.00029923354,0.00012223204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076271965,0.00014877347,0.99405813,0.000016398819,0.000014405056,0.0002560155,0.0013998672,0.00009293781,0.0005008297,0.000036076734,0.000074440424,0.0033259022],"study_design_scores_gemma":[8.0419295e-7,0.0000940649,0.9976489,0.0000070760448,0.0000031870059,0.00004218734,0.0020172547,0.000039326755,0.000060928007,0.000006437223,0.00007821902,0.0000015437317],"about_ca_topic_score_codex":0.009934523,"about_ca_topic_score_gemma":0.025601795,"teacher_disagreement_score":0.009934523,"about_ca_system_score_codex":0.00048356413,"about_ca_system_score_gemma":0.00050755066,"threshold_uncertainty_score":0.019753397},"labels":[],"label_agreement":null},{"id":"W2995735823","doi":"10.5430/rwe.v10n3p382","title":"Understanding Financial Inclusion in Vietnam","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Microfinance and Financial Inclusion","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":"Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh","keywords":"Financial inclusion; Inclusion (mineral); Bank account; Affect (linguistics); Economics; Business; Demographic economics; Financial system; Finance; Financial services; Sociology","score_opus":0.21138927826438175,"score_gpt":0.3309924078513628,"score_spread":0.11960312958698105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995735823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839406,0.0005881916,0.00023362422,0.0016801128,0.000011196767,0.000014689562,0.00056577224,0.0000025455984,0.0129634],"genre_scores_gemma":[0.99862754,0.0003370729,0.00005633083,0.000051376406,0.0000069542675,0.000008273699,0.00025987613,0.0000014109049,0.00065132807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994666,0.00017315688,0.000026837673,0.000043143486,0.000085171436,0.00020511786],"domain_scores_gemma":[0.9986833,0.00034787957,0.00041990748,0.000032110038,0.0001753581,0.0003414452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069782755,0.00014389608,0.00021414467,0.0015514223,0.001045245,0.0024264338,0.00022686485,0.00022782857,0.0043361173],"category_scores_gemma":[0.002749669,0.0000858815,0.00012235239,0.0029488504,0.0008302891,0.0022081945,0.0019530654,0.00048230393,0.0001706961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005152612,0.00013730906,0.88669735,0.00012656914,0.000032040745,0.0006550552,0.041563734,0.00074773456,0.00014467433,0.02030671,0.0032901643,0.046247136],"study_design_scores_gemma":[0.00000437698,0.000043118453,0.8517035,0.00032595088,0.00001109423,0.0001519477,0.110491134,0.0018283959,0.00013807749,0.005896315,0.02939092,0.00001511393],"about_ca_topic_score_codex":0.08147316,"about_ca_topic_score_gemma":0.058960624,"teacher_disagreement_score":0.08147316,"about_ca_system_score_codex":0.0017008545,"about_ca_system_score_gemma":0.0016885223,"threshold_uncertainty_score":0.16199791},"labels":[],"label_agreement":null},{"id":"W2995893545","doi":"10.5430/rwe.v10n3p309","title":"Strategic Planning and Management of High-Tech Developments and Innovative Technical Solutions","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","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":"Sanctions; Position (finance); Business; Order (exchange); Industrial organization; Strategic planning; Economic sanctions; European union; Production (economics); Economic system; Economics; International trade; Finance; Marketing; Political science","score_opus":0.1687801869483968,"score_gpt":0.4000256831296899,"score_spread":0.2312454961812931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995893545","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":[0.2945872,0.0068235043,0.17850074,0.014508025,0.00028777606,0.0018495508,0.00052366965,0.00026824046,0.5026513],"genre_scores_gemma":[0.9402631,0.004449187,0.038736794,0.00019675863,0.000045812256,0.0002097595,0.00034967036,0.000017735858,0.015731132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981511,0.00070368574,0.00010950297,0.00010133552,0.0005744074,0.0003599749],"domain_scores_gemma":[0.99858594,0.0002920577,0.00033667963,0.0000487813,0.00032189707,0.00041470514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020973694,0.0003330015,0.00018549881,0.002221714,0.0015865527,0.0055507068,0.0005675042,0.00080876733,0.0029390084],"category_scores_gemma":[0.0017699113,0.00017625188,0.00033300056,0.0020653768,0.0012500547,0.0018302205,0.001578773,0.0008656395,0.00063572085],"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":[0.00007958903,0.0003522003,0.040170442,0.0012197916,0.00010897481,0.0012618614,0.0052357963,0.039174125,0.0078924205,0.48498198,0.01936028,0.4001626],"study_design_scores_gemma":[0.00008252994,0.00077996065,0.11170276,0.0013592361,0.00016588245,0.000921433,0.030568609,0.0532597,0.014166044,0.40790394,0.3789048,0.00018522669],"about_ca_topic_score_codex":0.00433237,"about_ca_topic_score_gemma":0.008745517,"teacher_disagreement_score":0.0055507068,"about_ca_system_score_codex":0.004236811,"about_ca_system_score_gemma":0.020224566,"threshold_uncertainty_score":0.03074038},"labels":[],"label_agreement":null},{"id":"W2996033113","doi":"10.5430/rwe.v10n3p408","title":"The Influence of Website Navigational Design on Improving Tourism Performance: Empirical Studies on Sport Tourism Providers in Indonesia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Tourism; Service provider; Sample (material); Service (business); Business; Marketing; Hyperlink; Advertising; Nonprobability sampling; Adventure; World Wide Web; Geography; Computer science; Sociology; Web page","score_opus":0.08387239727907013,"score_gpt":0.4009828152006702,"score_spread":0.31711041792160005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996033113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772173,0.00009088058,0.000043073793,0.000104849896,0.0000020800626,0.000010145865,0.000014193924,8.8686136e-7,0.002012258],"genre_scores_gemma":[0.998922,0.00022214759,0.00013648825,0.00003054088,0.0000023771938,0.000006874507,0.000014262211,0.0000014947445,0.00066385156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993332,0.00024414493,0.000043929515,0.00005683969,0.00018877126,0.0001329794],"domain_scores_gemma":[0.9953721,0.0021002118,0.0011542789,0.00010496872,0.00059651304,0.00067190133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011921461,0.00012325228,0.00018761077,0.00056659157,0.0007882426,0.0015930572,0.00023843553,0.00032867858,0.0027065726],"category_scores_gemma":[0.0045124968,0.00016941382,0.00025664526,0.00074165926,0.00049758615,0.0008012907,0.00046108628,0.00064920366,0.00027622716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014703517,0.0014765972,0.93839765,0.00036329156,0.00006146688,0.0008492511,0.023527602,0.00024834025,0.0010604791,0.0004970641,0.0006303492,0.032740824],"study_design_scores_gemma":[0.0000066060493,0.00032825427,0.9454716,0.00012538249,0.00006107363,0.00020195154,0.05105921,0.0006364971,0.00036943558,0.00007613119,0.0016481658,0.000015713915],"about_ca_topic_score_codex":0.009738716,"about_ca_topic_score_gemma":0.028973632,"teacher_disagreement_score":0.009738716,"about_ca_system_score_codex":0.0009394237,"about_ca_system_score_gemma":0.0017095852,"threshold_uncertainty_score":0.019364059},"labels":[],"label_agreement":null},{"id":"W2996048342","doi":"10.5430/rwe.v10n3p291","title":"Comparative Bootstrap DEA Technical Efficiencies and Determinant Factors: Evidence From the Islamic Banks of Bahrain and United Arab Emirates","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Efficiency Analysis Using DEA","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":"Islam; Inefficiency; Regression analysis; Profitability index; Confidence interval; Loan; Index (typography); Islamic banking; Statistics; Linear regression; Business; Economics; Econometrics; Actuarial science; Mathematics; Geography; Finance; Computer science","score_opus":0.30874853629167454,"score_gpt":0.4676167873372772,"score_spread":0.15886825104560265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996048342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971398,0.00033213556,0.0005828555,0.000108547974,0.000004490889,0.000005495739,0.000100681835,0.000005408049,0.0017205899],"genre_scores_gemma":[0.9992417,0.00015719916,0.00020857048,0.000017984503,0.000009013737,0.0000036691688,0.00018733741,0.0000019104377,0.00017250731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977779,0.0008590761,0.00016072163,0.00032409586,0.0006336255,0.0002446224],"domain_scores_gemma":[0.97963387,0.012460979,0.0035459078,0.0011017653,0.0028543924,0.00040300997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004907245,0.0002949571,0.0004112239,0.0017671654,0.00055329996,0.0011227219,0.00042225423,0.00038091224,0.0013015753],"category_scores_gemma":[0.012249119,0.00019707072,0.0006246176,0.0027074674,0.0009597318,0.0007732235,0.00068960927,0.00052506285,0.00026524597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012428705,0.00013081662,0.9651944,0.000050605147,0.0004222466,0.0003338803,0.001881692,0.0019327757,0.00044506314,0.0031527905,0.0005680389,0.025763378],"study_design_scores_gemma":[0.000010871416,0.00008993553,0.9902755,0.000026989097,0.0001588846,0.00010102922,0.0029645583,0.003915993,0.0004192082,0.00060384633,0.0014193192,0.000013839108],"about_ca_topic_score_codex":0.022545755,"about_ca_topic_score_gemma":0.020921811,"teacher_disagreement_score":0.022545755,"about_ca_system_score_codex":0.00076550996,"about_ca_system_score_gemma":0.00089769816,"threshold_uncertainty_score":0.04482907},"labels":[],"label_agreement":null},{"id":"W2996126953","doi":"10.5430/rwe.v10n3p315","title":"Infrastructure Enhancement and Households’ Economic Activities: Lesson From Indonesia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Urban Transport Systems Analysis","field":"Engineering","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":"Universitas Negeri Malang","keywords":"Tourism; Business; Economic growth; Focus group; Plan (archaeology); Development plan; Socioeconomics; Geography; Marketing; Economics","score_opus":0.0196155378234308,"score_gpt":0.25528100781266494,"score_spread":0.23566546998923413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996126953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76574606,0.0132292705,0.0019066705,0.07175133,0.0011542186,0.00014588164,0.00026228136,0.000080327125,0.14572403],"genre_scores_gemma":[0.94486606,0.022000056,0.0036686182,0.0040189554,0.00018873265,0.000060916118,0.00010018105,0.000031868447,0.025064556],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998884,0.000053980988,0.00000455045,0.00001126202,0.0000151083395,0.00002669354],"domain_scores_gemma":[0.9998692,0.000044170447,0.000012320921,0.000006091921,0.000021467358,0.00004676407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035733494,0.00040413998,0.00024239084,0.00018346136,0.001110926,0.0012254338,0.00035960393,0.0004505889,0.0025504427],"category_scores_gemma":[0.00042127483,0.000117020056,0.0002195291,0.00032274128,0.0006146421,0.001478761,0.0012442487,0.0014580577,0.00030567514],"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":[0.00015187687,0.0029558758,0.061396807,0.00266767,0.000048643786,0.009614182,0.17697518,0.0012452186,0.0039851214,0.020636342,0.09598644,0.6243367],"study_design_scores_gemma":[0.00003898786,0.00064473046,0.1216603,0.0034690232,0.000105816485,0.002261535,0.45392993,0.0012012274,0.0032296774,0.011457236,0.40193444,0.0000669962],"about_ca_topic_score_codex":0.008585088,"about_ca_topic_score_gemma":0.033794098,"teacher_disagreement_score":0.008585088,"about_ca_system_score_codex":0.0009208153,"about_ca_system_score_gemma":0.0013654272,"threshold_uncertainty_score":0.017070234},"labels":[],"label_agreement":null},{"id":"W2996350230","doi":"10.5430/rwe.v10n3p431","title":"The Factors Affecting the Decision to Participate in Voluntary Social Insurance of Vietnamese Employees: The Case of Tra Vinh Province","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Impulse Buying and Technology Impacts","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":"Trường Đại học Trà Vinh","keywords":"Vietnamese; Business; Social insurance; Social security; Government (linguistics); Turnover; Payment; Actuarial science; Finance; Political science; Economics","score_opus":0.09590487929494021,"score_gpt":0.35282428668596394,"score_spread":0.2569194073910237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996350230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991265,0.000043307307,0.000014177274,0.00021472547,0.0000031600969,0.000004899895,0.000017656528,1.8000358e-7,0.0005754364],"genre_scores_gemma":[0.99946827,0.00006632202,0.00001670113,0.000029718432,0.0000019245563,0.0000035716319,0.000021498981,3.624189e-7,0.00039163255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922454,0.00020090764,0.000022746945,0.000047256497,0.000059654914,0.0004449028],"domain_scores_gemma":[0.99814904,0.00050899206,0.00036738077,0.000059489408,0.00018504061,0.00073005556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007339858,0.0001775737,0.00019495789,0.0005147144,0.0019928615,0.0015015447,0.00047934632,0.00047005553,0.003207884],"category_scores_gemma":[0.001783224,0.00017992263,0.00037697054,0.0007342373,0.0007699045,0.00040026137,0.0007332119,0.0010485911,0.00015706771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011693163,0.0003621634,0.9665322,0.0000416803,0.000043666416,0.004540522,0.02045901,0.00033621647,0.00031776162,0.0009257499,0.0005937293,0.005730405],"study_design_scores_gemma":[0.000015314834,0.000106559266,0.8350003,0.00008619595,0.00003917353,0.00059156783,0.16039649,0.0010871729,0.00014557384,0.0002640261,0.002248946,0.000018763678],"about_ca_topic_score_codex":0.30539212,"about_ca_topic_score_gemma":0.367681,"teacher_disagreement_score":0.30539212,"about_ca_system_score_codex":0.0039736074,"about_ca_system_score_gemma":0.0046414207,"threshold_uncertainty_score":0.6072291},"labels":[],"label_agreement":null},{"id":"W2996352241","doi":"10.5430/rwe.v11n3p108","title":"Earning Management and the Effect Characteristics of Audit Committee, Independent Commissioners: Evidence From Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Corporate Governance and Financial Management","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":"Audit committee; Accounting; Business; Earnings management; Stock exchange; Shareholder; Chief audit executive; Joint audit; Principal–agent problem; Audit; Internal audit; Sample (material); External auditor; Audit evidence; Corporate governance; Finance; Earnings","score_opus":0.056616136590071926,"score_gpt":0.2764547880060891,"score_spread":0.21983865141601716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996352241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985677,0.00019814675,0.000054181102,0.00008121657,0.000003846993,0.0000039124325,0.00009943661,0.0000013930412,0.0009902997],"genre_scores_gemma":[0.9993474,0.00012800972,0.000033090833,0.000017266964,0.000006186926,0.0000018859866,0.00012377677,0.0000010271402,0.00034131823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882025,0.0003154856,0.00015151668,0.00018137664,0.0003118586,0.00021940256],"domain_scores_gemma":[0.9806866,0.003810548,0.012653109,0.00075323,0.0008544331,0.0012420961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017099727,0.00013742446,0.00021688294,0.00073910615,0.00038668202,0.0011540476,0.0003038325,0.00025657602,0.0016826398],"category_scores_gemma":[0.005677537,0.00015526918,0.00023183448,0.001127058,0.00048966456,0.0005896895,0.0005456772,0.0004942029,0.00024597053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059190737,0.00007949086,0.995236,0.000014693958,0.000029347293,0.00006730667,0.00032230912,0.000071877046,0.000061585444,0.00007053698,0.00018936575,0.0037983165],"study_design_scores_gemma":[0.0000019755846,0.000019886133,0.999047,0.000008165869,0.000015587175,0.00002879846,0.0004134153,0.00010263027,0.000051192037,0.000025243628,0.00028418857,0.0000020629782],"about_ca_topic_score_codex":0.012867181,"about_ca_topic_score_gemma":0.021515619,"teacher_disagreement_score":0.012867181,"about_ca_system_score_codex":0.0005588753,"about_ca_system_score_gemma":0.0006942512,"threshold_uncertainty_score":0.025584579},"labels":[],"label_agreement":null},{"id":"W2996517942","doi":"10.5430/rwe.v10n3p359","title":"The Role of Legal Compliance and Good Corporate Governance on Reducing Audit Delay on Publicly Listed Companies in Indonesia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Accounting; Business; Audit committee; Corporate governance; Audit; Stock exchange; Moderation; Auditor's report; Chief audit executive; External auditor; Audit evidence; Closing (real estate); Sample (material); Compliance (psychology); Joint audit; Internal audit; Finance; Psychology","score_opus":0.04410125686847946,"score_gpt":0.2716648732977261,"score_spread":0.22756361642924663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996517942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984958,0.00011441761,0.000042573924,0.0003044364,0.0000031783457,0.000005024485,0.000015388081,0.0000026554328,0.0010164656],"genre_scores_gemma":[0.99961925,0.00006159508,0.000041988813,0.000022531329,0.000003249213,0.0000018973741,0.00001344131,8.399905e-7,0.00023520515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984528,0.00059433526,0.00012273122,0.00012304964,0.0003328026,0.0003742807],"domain_scores_gemma":[0.9830293,0.003685853,0.010118581,0.00043977055,0.00095399015,0.001772517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022386452,0.00010090376,0.0001410191,0.0005049266,0.00043312853,0.0012025659,0.00039155473,0.0002871548,0.0014042859],"category_scores_gemma":[0.010766523,0.00009922556,0.00010251948,0.00062406185,0.0004824391,0.00062211993,0.000780723,0.000574483,0.00013703333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012461019,0.00044454745,0.9613066,0.00004496165,0.000018431874,0.00017487942,0.0016044663,0.0004904166,0.0004567407,0.00053097826,0.0005097719,0.034293674],"study_design_scores_gemma":[0.0000054325546,0.00009947258,0.99672204,0.000025584146,0.000009161253,0.00003804084,0.0015418697,0.00058169855,0.00020316456,0.00011503553,0.00065452047,0.000003859539],"about_ca_topic_score_codex":0.014696693,"about_ca_topic_score_gemma":0.027840558,"teacher_disagreement_score":0.014696693,"about_ca_system_score_codex":0.0013653557,"about_ca_system_score_gemma":0.002730628,"threshold_uncertainty_score":0.02922231},"labels":[],"label_agreement":null},{"id":"W2996543854","doi":"10.5430/rwe.v10n3p371","title":"Financial Constraints and Cost of Equity: Empirical Study of Shariah Compliant Firms in Indonesia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Free cash flow; Equity (law); Cash flow; Cost of capital; Finance; Business; Cost of equity; Economics; Monetary economics; Equity capital markets; Leverage (statistics); Microeconomics; Profit (economics); Private equity","score_opus":0.11535176425050758,"score_gpt":0.3739457644877759,"score_spread":0.2585940002372683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996543854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995697,0.000021695732,0.000011492194,0.000029826253,6.3712343e-7,0.0000031980426,0.000024850637,2.5312679e-7,0.0003383826],"genre_scores_gemma":[0.9996333,0.000048103964,0.000021311324,0.0000148073095,0.0000022277181,0.000003809743,0.00005568064,3.7118153e-7,0.00022029261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960107,0.000082559345,0.000045254146,0.000049907238,0.000102421756,0.00011867893],"domain_scores_gemma":[0.9962127,0.0008115991,0.0020813616,0.00010613368,0.0001940315,0.0005942111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006282931,0.00021101841,0.00029377168,0.0008511656,0.000707281,0.0014430864,0.00049467327,0.00046567182,0.0024477723],"category_scores_gemma":[0.0018807306,0.00023542048,0.00023220213,0.0013502429,0.000584629,0.0009029592,0.00078806235,0.0011361256,0.00029100556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027160206,0.0002813187,0.99594194,0.000012261588,0.00001217016,0.00030944523,0.0011842162,0.00008102773,0.00011668895,0.00011211351,0.000090388574,0.0018312951],"study_design_scores_gemma":[0.000003071548,0.000053412732,0.9939977,0.000013845392,0.000008013373,0.00015056625,0.005059363,0.00040698546,0.000080213744,0.00003433192,0.0001882685,0.0000042916063],"about_ca_topic_score_codex":0.011807111,"about_ca_topic_score_gemma":0.017909694,"teacher_disagreement_score":0.011807111,"about_ca_system_score_codex":0.0008444287,"about_ca_system_score_gemma":0.0008964651,"threshold_uncertainty_score":0.02347678},"labels":[],"label_agreement":null},{"id":"W2996894242","doi":"10.5430/rwe.v10n5p9","title":"Does Export Led Growth Hypothesis Hold Under World Crisis Recovery Regime in Malaysia?","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Cointegration; Economics; Granger causality; Johansen test; Exchange rate; Error correction model; Unit root; Short run; Effective exchange rate; Financial crisis; Productivity; Export performance; Gross domestic product; Real gross domestic product; Monetary economics; Order (exchange); Causality (physics); Econometrics; International economics; Macroeconomics","score_opus":0.07161385324591459,"score_gpt":0.27465415257429676,"score_spread":0.2030402993283822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996894242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98395157,0.00057614024,0.0003844574,0.0038738796,0.00005093138,0.000016912512,0.00027500492,0.000013430185,0.010857723],"genre_scores_gemma":[0.9985274,0.0003244315,0.00005949766,0.00014024519,0.000028724033,0.0000049884807,0.00012361225,0.0000038525095,0.0007873426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996138,0.00006586917,0.00003137,0.00009426751,0.000069494316,0.00012522131],"domain_scores_gemma":[0.9965281,0.0010310488,0.0016226602,0.00014798687,0.00035534092,0.00031499346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012141863,0.00023938721,0.0002886213,0.0007339854,0.00029307872,0.0018267636,0.00041009492,0.0006564795,0.005511035],"category_scores_gemma":[0.0041427505,0.00012933402,0.00041349657,0.0006936134,0.0012508342,0.0016882673,0.00069087354,0.0011028385,0.0006322068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027144013,0.00018048921,0.9683123,0.00015097419,0.000098955876,0.0014616575,0.0015017843,0.0015211584,0.00068228913,0.0070244446,0.002006882,0.016787473],"study_design_scores_gemma":[0.000022069691,0.00016961659,0.9795858,0.00012033996,0.00006611592,0.00026551873,0.0079026325,0.00438446,0.00057827996,0.0041356888,0.0027526566,0.000016821807],"about_ca_topic_score_codex":0.0046623093,"about_ca_topic_score_gemma":0.0034064888,"teacher_disagreement_score":0.005511035,"about_ca_system_score_codex":0.0006063857,"about_ca_system_score_gemma":0.0007977122,"threshold_uncertainty_score":0.018436313},"labels":[],"label_agreement":null},{"id":"W2996982251","doi":"10.5430/rwe.v10n5p113","title":"The Determinations of East Asia’s Automobile Trade Using a Gravity Model","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Industrialisation; Gravity model of trade; East Asia; Foreign direct investment; Multinational corporation; Government (linguistics); International trade; Economics; International economics; Per capita income; Bilateral trade; Business; Geography; China; Macroeconomics; Market economy","score_opus":0.22426758423199541,"score_gpt":0.33469823541111754,"score_spread":0.11043065117912212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996982251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9460341,0.0005104709,0.0324026,0.00070061546,0.000027067903,0.00004175345,0.00048625856,0.00016156271,0.019635508],"genre_scores_gemma":[0.9958782,0.00022392366,0.0017769623,0.000025600324,0.000013947129,0.000011049282,0.00015276427,0.000010878062,0.0019066466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999742,0.00008757405,0.000014014373,0.00006516552,0.00003859409,0.00005258571],"domain_scores_gemma":[0.9993412,0.00028905584,0.00014935178,0.00007591485,0.00008665153,0.00005785143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053251977,0.00042314915,0.00039584393,0.0015275388,0.00036851078,0.0017031911,0.0005136802,0.000580667,0.003758712],"category_scores_gemma":[0.0020259416,0.0003004539,0.0011044435,0.0015882615,0.0007925905,0.0011781618,0.0008419694,0.0005795548,0.0003688826],"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":[0.00010364445,0.00013317658,0.27766415,0.00012472624,0.00041405702,0.0012337305,0.0008688652,0.4643958,0.002895599,0.22175819,0.0034764719,0.026931616],"study_design_scores_gemma":[0.000023208637,0.000059322436,0.1056909,0.000052820724,0.0001666556,0.00025016873,0.00067693525,0.83115715,0.0006822728,0.055313956,0.005874398,0.000052178657],"about_ca_topic_score_codex":0.026632776,"about_ca_topic_score_gemma":0.0099407025,"teacher_disagreement_score":0.026632776,"about_ca_system_score_codex":0.0011187424,"about_ca_system_score_gemma":0.00091784063,"threshold_uncertainty_score":0.05295551},"labels":[],"label_agreement":null},{"id":"W2996984284","doi":"10.5430/rwe.v10n5p53","title":"Mosquepreneur in Perak: Reality or Fantasy?","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Entrepreneurship; Demographics; Social entrepreneurship; Order (exchange); Descriptive statistics; Women entrepreneurs; Marketing; Business; Public relations; Sociology; Political science; Finance; Demography","score_opus":0.08477067931037112,"score_gpt":0.33954351061317745,"score_spread":0.2547728313028063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996984284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8428472,0.012207262,0.001954467,0.027957415,0.0013666603,0.00003826323,0.00014397627,0.000077995224,0.11340677],"genre_scores_gemma":[0.99120635,0.0016659766,0.00040801815,0.00091532513,0.00009549478,0.0000072615035,0.000020637135,0.000007722419,0.0056732483],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99900776,0.0006579129,0.000019227811,0.00006707915,0.000084164676,0.00016389044],"domain_scores_gemma":[0.99949217,0.00015379782,0.00009979623,0.000041489922,0.000052978838,0.00015963444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012440747,0.00045881252,0.00027770645,0.00042237298,0.0046620793,0.0038344865,0.0005940727,0.0013596177,0.0043012626],"category_scores_gemma":[0.0014550443,0.00025501102,0.00018764402,0.00046631548,0.006408222,0.0040830234,0.0023358425,0.0019131256,0.0006734754],"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":[0.00018117392,0.00014547409,0.023206152,0.0006423933,0.00003242497,0.010048309,0.8151615,0.00014550753,0.0032002407,0.05939201,0.017005665,0.07083913],"study_design_scores_gemma":[0.0000075994976,0.00016048884,0.0193231,0.0004325258,0.00001616431,0.008347603,0.8549511,0.00022712168,0.000635235,0.0041913018,0.11165589,0.000051841005],"about_ca_topic_score_codex":0.0018978429,"about_ca_topic_score_gemma":0.0052262554,"teacher_disagreement_score":0.0046620793,"about_ca_system_score_codex":0.0011312616,"about_ca_system_score_gemma":0.0006403246,"threshold_uncertainty_score":0.014389098},"labels":[],"label_agreement":null},{"id":"W2997051247","doi":"10.5430/rwe.v10n5p96","title":"The Relationship Between Human Development, Tourism and Economic Growth: Evidence From Malaysia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","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":"Tourism; Cointegration; Human development (humanity); Order (exchange); Gross domestic product; Relation (database); Economics; Economic system; Economic growth; Political science; Econometrics","score_opus":0.1974481224018105,"score_gpt":0.4223273909760359,"score_spread":0.22487926857422538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997051247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99358565,0.0020371666,0.00008183408,0.0004370515,0.0000059153904,0.0000052446203,0.00036325326,0.000002350914,0.003481504],"genre_scores_gemma":[0.9972583,0.0022000673,0.00007378131,0.000025305306,0.0000049381865,0.0000023616794,0.00014228678,6.550752e-7,0.0002923118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997744,0.00008304203,0.000025158768,0.000029247542,0.000041590152,0.0000465285],"domain_scores_gemma":[0.99752265,0.001065156,0.0008324933,0.0000635447,0.00026494745,0.00025116294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006294469,0.00018806173,0.00018167793,0.0012023734,0.00029733556,0.0007673001,0.00017670216,0.00018104952,0.0016651327],"category_scores_gemma":[0.0016752286,0.000104619976,0.00021627746,0.0020944711,0.0005809488,0.0006457517,0.00066014985,0.00043561103,0.00019557099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009478429,0.00009033519,0.9767919,0.00038487418,0.00009339279,0.00039600304,0.0013638939,0.00053739786,0.00013365874,0.0012958264,0.00067233894,0.01814551],"study_design_scores_gemma":[0.0000033213255,0.00005430909,0.9924272,0.00019409183,0.000051804207,0.00013759654,0.004495511,0.00067997625,0.00014749935,0.0001941207,0.0016067991,0.000007661991],"about_ca_topic_score_codex":0.0322463,"about_ca_topic_score_gemma":0.05670937,"teacher_disagreement_score":0.0322463,"about_ca_system_score_codex":0.0006482753,"about_ca_system_score_gemma":0.0010885975,"threshold_uncertainty_score":0.06411719},"labels":[],"label_agreement":null},{"id":"W2997129392","doi":"10.5430/rwe.v10n4p14","title":"The Effect of the Change in the Balance Sheet Law in 2014-2018 on Management of Companies in Poland","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Accounting Theory and Financial 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":"Accounting; Accounting information system; Management accounting; Balance sheet; Accounting standard; Business; Accounting management; Financial accounting; Positive accounting; Accounting records; Legislation; Cost accounting; Throughput accounting; Mark-to-market accounting; European union; Balance (ability); Economics; Political science; Law","score_opus":0.03724485584351343,"score_gpt":0.3072869639824311,"score_spread":0.27004210813891766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997129392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936865,0.00028499158,0.000055571643,0.0019382552,0.000016651931,0.000018535304,0.00007665742,0.000005388899,0.0039174818],"genre_scores_gemma":[0.99760395,0.00036570747,0.000047179674,0.00020294909,0.000013827886,0.000010572019,0.00009091978,0.0000029286857,0.0016620626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764925,0.00042928266,0.000261835,0.0002734754,0.0006339669,0.00075207924],"domain_scores_gemma":[0.995827,0.0004820271,0.0024403147,0.00008408157,0.0006494157,0.00051696994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382719,0.000117860734,0.0002103475,0.0012034165,0.0011192855,0.003471281,0.00044374648,0.0007144922,0.0021674724],"category_scores_gemma":[0.0066127703,0.00017123845,0.00022440395,0.001424935,0.0011976167,0.0014566226,0.002034332,0.0008816603,0.00027389498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062274886,0.00042655834,0.85236144,0.0003379543,0.00014688053,0.003623679,0.027565729,0.0012272452,0.002351438,0.010033564,0.008950534,0.09235228],"study_design_scores_gemma":[0.000007955031,0.00007030082,0.9783061,0.000071242466,0.000022651662,0.00008809209,0.011955368,0.00025065872,0.00029450745,0.00029958264,0.008622006,0.000011532599],"about_ca_topic_score_codex":0.04475458,"about_ca_topic_score_gemma":0.06977717,"teacher_disagreement_score":0.04475458,"about_ca_system_score_codex":0.006208572,"about_ca_system_score_gemma":0.004413142,"threshold_uncertainty_score":0.088988125},"labels":[],"label_agreement":null},{"id":"W2997189272","doi":"10.5430/rwe.v10n4p86","title":"Life Expectancy of Population of the Country: The Role of Health Services Effectiveness","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Business and Economic Development","field":"Environmental 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":"Life expectancy; Gross domestic product; Data envelopment analysis; Health care; Population; Product (mathematics); Business; Health indicator; Actuarial science; Economics; Environmental health; Economic growth; Medicine; Statistics; Mathematics","score_opus":0.015760843365295905,"score_gpt":0.2768711613233624,"score_spread":0.2611103179580665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997189272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527372,0.014420253,0.0060080355,0.0015078378,0.00011684449,0.000048143687,0.00223158,0.000042956,0.022887059],"genre_scores_gemma":[0.99836963,0.00079928606,0.00029588072,0.000028422228,0.000037017784,0.000008095723,0.00025097997,0.0000035871392,0.00020708625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979608,0.0010219828,0.00014041862,0.00015365299,0.00048266255,0.00024049211],"domain_scores_gemma":[0.99126875,0.0052882084,0.0015440553,0.00033610672,0.0010230435,0.00053971156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029101034,0.00028258018,0.00046523614,0.0022935092,0.00018361415,0.0012637652,0.00029142172,0.00037052378,0.0015594021],"category_scores_gemma":[0.010302625,0.00007725653,0.0006977182,0.002829883,0.0006046131,0.0009936317,0.0007522302,0.0004243918,0.00017380546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000284841,0.00012243126,0.8998087,0.000386572,0.0009079497,0.00037929192,0.00057251134,0.010490433,0.000620363,0.007486433,0.0011617694,0.077778734],"study_design_scores_gemma":[0.000007707725,0.0003766202,0.983276,0.00013170227,0.00025317082,0.0005985678,0.0009406481,0.006004978,0.00050702895,0.0029446108,0.0049313805,0.000027578768],"about_ca_topic_score_codex":0.0019478515,"about_ca_topic_score_gemma":0.0013783613,"teacher_disagreement_score":0.0029101034,"about_ca_system_score_codex":0.00093167764,"about_ca_system_score_gemma":0.0005232333,"threshold_uncertainty_score":0.015390277},"labels":[],"label_agreement":null},{"id":"W2997190565","doi":"10.5430/rwe.v10n4p48","title":"Foreign Capital Flows as Factors of Economic Growth in Bulgaria, Czech Republic, Hungary and Poland","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Business and Economic Development","field":"Environmental Science","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":"Foreign direct investment; Economics; Czech; Gross fixed capital formation; Capital (architecture); Foreign capital; Investment (military); Emerging markets; Capital formation; Capital flows; International economics; Monetary economics; Economy; Market economy; Macroeconomics; Financial capital; Human capital; Geography","score_opus":0.02466607704250512,"score_gpt":0.26494645912655834,"score_spread":0.24028038208405322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997190565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977527,0.0002636946,0.00005228151,0.00006296402,0.0000044903636,0.000004933769,0.00018566081,0.000005102647,0.0016680043],"genre_scores_gemma":[0.99904984,0.00034639143,0.000026210346,0.000008010073,0.0000033181504,0.000003138447,0.00026314828,0.0000022583733,0.00029764284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998685,0.000017420203,0.000011176831,0.000015715314,0.00001657391,0.000070508235],"domain_scores_gemma":[0.9994211,0.00014422959,0.00021379557,0.000018888952,0.000068593225,0.00013336945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038363392,0.00021885011,0.00019654905,0.0017096773,0.00023705665,0.0016908933,0.00014552777,0.00015656005,0.0010308021],"category_scores_gemma":[0.00092677283,0.000120808625,0.00031199117,0.001520958,0.00057120324,0.0005624397,0.0009501681,0.0004692323,0.00014644873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039554626,0.00007956261,0.9649755,0.000066461515,0.000114723334,0.0012406751,0.00094106013,0.0085118385,0.00096872763,0.006398104,0.0013471042,0.014960703],"study_design_scores_gemma":[0.000012535095,0.000027215887,0.9950092,0.00003053662,0.000029842668,0.00009250309,0.0014856935,0.001807375,0.00024928266,0.00048755607,0.00076090574,0.0000074294617],"about_ca_topic_score_codex":0.039704565,"about_ca_topic_score_gemma":0.02926352,"teacher_disagreement_score":0.039704565,"about_ca_system_score_codex":0.0011968121,"about_ca_system_score_gemma":0.0012920708,"threshold_uncertainty_score":0.07894689},"labels":[],"label_agreement":null},{"id":"W2997213170","doi":"10.5430/rwe.v10n4p58","title":"Towards Sustainable Strategic Management: A Theoretical Review of the Evolution of Management Perception","year":2019,"lang":"en","type":"review","venue":"Research in World Economy","topic":"Economic and Business Development 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":"Strategic financial management; Strategic planning; Strategic management; Business; Competence-based management; Strategic thinking; Sustainable development; Process management; Strategic control; Environmental resource management; Knowledge management; Marketing; Economics; Political science; Computer science","score_opus":0.14281462662811226,"score_gpt":0.3545263792165933,"score_spread":0.21171175258848104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997213170","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":[0.00031879012,0.9888721,0.00095984933,0.0030152835,0.00035029577,0.000007818634,0.000013998913,0.0000059884464,0.006456011],"genre_scores_gemma":[0.004971371,0.9931329,0.0004398554,0.0006848127,0.00023057402,0.000011248382,0.000017900347,0.0000028283919,0.00050858693],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987919,0.00039467882,0.00010514861,0.00015413937,0.00047641416,0.00007779614],"domain_scores_gemma":[0.99770373,0.0016284422,0.00018404487,0.000040002964,0.0003773857,0.00006649061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021304789,0.00078006374,0.0009665797,0.0054122773,0.0007937563,0.0042677885,0.0010536525,0.0022000796,0.0037267597],"category_scores_gemma":[0.0033556006,0.00039385463,0.0005193207,0.008557643,0.0034589171,0.006049629,0.0015530074,0.0030927483,0.0009691612],"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":[0.00002976237,0.00009246805,0.00051189045,0.02760698,0.00009726158,0.00020764953,0.0021939443,0.0014027377,0.00046692864,0.229368,0.029045694,0.7089766],"study_design_scores_gemma":[0.0000068244863,0.00004912361,0.0018867918,0.025709633,0.00005792737,0.0005314019,0.002128893,0.00031008772,0.00018305864,0.07537013,0.89371943,0.000046728168],"about_ca_topic_score_codex":0.0041467673,"about_ca_topic_score_gemma":0.0041543553,"teacher_disagreement_score":0.0054122773,"about_ca_system_score_codex":0.0038692623,"about_ca_system_score_gemma":0.005623803,"threshold_uncertainty_score":0.028073609},"labels":[],"label_agreement":null},{"id":"W2997278030","doi":"10.5430/rwe.v10n4p1","title":"Implementation of Telematics Solutions in Urban Agglomerations in the Aspect of Road Incidents","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"transportation and logistics systems","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":"Telematics; Transport engineering; Computer science; Incident management; Service (business); Advanced Traffic Management System; Urban agglomeration; Traffic management; Intelligent transportation system; Business; Telecommunications; Engineering; Computer security; Geography","score_opus":0.14954537742109633,"score_gpt":0.4531201584821267,"score_spread":0.3035747810610304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997278030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79929286,0.00058233,0.12366809,0.002174012,0.00012060284,0.00050348614,0.0002935645,0.0014565312,0.0719086],"genre_scores_gemma":[0.9593073,0.00034513013,0.03428402,0.00009085465,0.000019559517,0.00010192555,0.00019872606,0.000041836025,0.0056106984],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986261,0.0007339275,0.00007279785,0.00015319341,0.00024826644,0.00016577209],"domain_scores_gemma":[0.9981035,0.00054921606,0.00027652632,0.00038535855,0.00054071046,0.00014472351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012684985,0.0002603986,0.00016382702,0.0005934759,0.0006874082,0.002162566,0.0009982755,0.00073437794,0.0039243666],"category_scores_gemma":[0.0030617758,0.00011903743,0.00021764278,0.00084502116,0.0006595851,0.0015454149,0.0011307418,0.0004008288,0.00080855266],"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":[0.0010043347,0.0016947396,0.047870282,0.00088707055,0.00012027586,0.0017614261,0.010309594,0.0930754,0.022481605,0.06770629,0.009869914,0.74321914],"study_design_scores_gemma":[0.00026589044,0.003417008,0.11904587,0.0008882265,0.0003123419,0.0013801123,0.06917843,0.34931484,0.10591424,0.032119524,0.31799236,0.0001712352],"about_ca_topic_score_codex":0.0036308544,"about_ca_topic_score_gemma":0.0036841088,"teacher_disagreement_score":0.0039243666,"about_ca_system_score_codex":0.0015064663,"about_ca_system_score_gemma":0.0015214549,"threshold_uncertainty_score":0.01312834},"labels":[],"label_agreement":null},{"id":"W2997304332","doi":"10.5430/rwe.v10n4p97","title":"Sustainable Development of Agricultural Sector: Democratic Profile Impact Among Developing Countries","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological Sciences","cited_by":78,"is_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 and Science of Ukraine","keywords":"Democracy; Food security; Authoritarianism; Sustainable development; Politics; Economics; Development economics; Democratization; Agriculture; Developing country; Economic system; Political science; Economic growth; Geography","score_opus":0.026260151819165495,"score_gpt":0.28169830878850066,"score_spread":0.25543815696933514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997304332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752735,0.000701088,0.00047476683,0.0007896155,0.000016249378,0.000023778717,0.00023024398,0.0000069087782,0.022483801],"genre_scores_gemma":[0.9988943,0.00028066555,0.00010289083,0.000032894826,0.0000045887464,0.0000031241007,0.000057122936,0.0000012016682,0.00062317593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922836,0.00030003974,0.000051604584,0.00009571636,0.00013262895,0.00019168181],"domain_scores_gemma":[0.99775046,0.0007428711,0.00073302485,0.00012354503,0.00035362574,0.00029644434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013205261,0.00012132825,0.00014236491,0.0008830922,0.0005895894,0.0017066777,0.000104500425,0.00017598369,0.003504309],"category_scores_gemma":[0.0032601336,0.00009308112,0.00026311135,0.0015829245,0.00047847896,0.00093138125,0.0013640742,0.00044501032,0.00018455072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012556245,0.00013593615,0.92113763,0.00015168867,0.000098655255,0.0002801112,0.00442726,0.0013030458,0.0008958372,0.0058742817,0.0011569404,0.06441302],"study_design_scores_gemma":[0.000008114579,0.00017223059,0.97582793,0.000091107424,0.000044951455,0.00019340875,0.009924623,0.00090555503,0.00062717474,0.0025481116,0.009640595,0.00001617587],"about_ca_topic_score_codex":0.0021075215,"about_ca_topic_score_gemma":0.003281604,"teacher_disagreement_score":0.003504309,"about_ca_system_score_codex":0.0007975032,"about_ca_system_score_gemma":0.00072642247,"threshold_uncertainty_score":0.011723101},"labels":[],"label_agreement":null},{"id":"W2997462473","doi":"10.5430/rwe.v10n5p89","title":"The Implemention of Total Productive Maintenance in Malaysia Automotive Industry","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Quality and Supply 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":"Universiti Pendidikan Sultan Idris","keywords":"Automotive industry; Total productive maintenance; Business; Operations management; Manufacturing engineering; Engineering; Production (economics); Economics","score_opus":0.05022207464318941,"score_gpt":0.32775958876628497,"score_spread":0.2775375141230956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997462473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970463,0.00019312582,0.0004940231,0.00020830901,0.000004794693,0.000025656347,0.000028061035,0.000015361873,0.0019843224],"genre_scores_gemma":[0.9990324,0.00009358449,0.00038644436,0.000015545855,0.0000016529714,0.0000055207665,0.0000197328,0.000001491303,0.00044360352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99562824,0.0012904509,0.00034070486,0.0002560436,0.0017881587,0.0006963499],"domain_scores_gemma":[0.9815174,0.0035844366,0.0074925334,0.00081495673,0.0050349096,0.0015558972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037485498,0.00021149742,0.00018301583,0.00112626,0.0003887693,0.0012710565,0.00086645223,0.00039781485,0.0012059003],"category_scores_gemma":[0.013093336,0.00019005255,0.00022150401,0.0007335421,0.0004797031,0.0010081067,0.00095617684,0.00047808053,0.00015601449],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020492206,0.00047980243,0.7838206,0.00027928306,0.000066133965,0.0002426261,0.005426829,0.0020827916,0.002203994,0.00055318297,0.00075601845,0.20388392],"study_design_scores_gemma":[0.000006228989,0.00046484722,0.98793715,0.00011029192,0.00002174531,0.00013169271,0.0063834935,0.0022341497,0.0006410403,0.00011048247,0.0019408352,0.000017990329],"about_ca_topic_score_codex":0.0161942,"about_ca_topic_score_gemma":0.018524943,"teacher_disagreement_score":0.0161942,"about_ca_system_score_codex":0.002295189,"about_ca_system_score_gemma":0.0031486289,"threshold_uncertainty_score":0.03219986},"labels":[],"label_agreement":null},{"id":"W2997483077","doi":"10.5430/rwe.v10n4p23","title":"The Innovative Model for the Formation of a Database Used to Assess a System of Economic Security of Retail Companies","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Enterprise Management and Information Systems","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; Parallelepiped; Order (exchange); Computer science; Process (computing); Face (sociological concept); Business; Mathematics; Finance","score_opus":0.17048190332138274,"score_gpt":0.350014754856107,"score_spread":0.17953285153472426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997483077","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":[0.009819612,0.00023626986,0.97550327,0.0009329129,0.000100288926,0.00018241334,0.00050391036,0.00031851794,0.012402781],"genre_scores_gemma":[0.39723596,0.0008602374,0.58500755,0.00035912188,0.00013963497,0.0010194394,0.0013796113,0.00011391295,0.013884495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99648535,0.0010585636,0.00044479338,0.0008723415,0.0008859855,0.00025301316],"domain_scores_gemma":[0.99699676,0.0012594596,0.0003491278,0.00048794682,0.00073512096,0.00017155845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028362533,0.0005730338,0.00070618984,0.0022245848,0.0012667895,0.007906536,0.0024718354,0.001883868,0.0066440515],"category_scores_gemma":[0.008034187,0.00044925034,0.001621218,0.002301588,0.0018393402,0.0063740443,0.0031336348,0.0015496358,0.0014316222],"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":[0.00010304521,0.0000616018,0.0026059577,0.00015633598,0.00005493329,0.00043097345,0.0006515904,0.0824012,0.0016465442,0.87300116,0.0027535781,0.03613304],"study_design_scores_gemma":[0.000058779067,0.00017398248,0.0010330289,0.00014536851,0.00007886713,0.0005948416,0.00046029844,0.58593047,0.0024381739,0.3615862,0.047421634,0.00007832752],"about_ca_topic_score_codex":0.007079548,"about_ca_topic_score_gemma":0.0030964746,"teacher_disagreement_score":0.007906536,"about_ca_system_score_codex":0.0022199305,"about_ca_system_score_gemma":0.002568872,"threshold_uncertainty_score":0.022226512},"labels":[],"label_agreement":null},{"id":"W2997596007","doi":"10.5430/rwe.v10n5p45","title":"Determinants of Capital Structure: Evidence From Malaysian Food and Beverage Firms","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Market liquidity; Capital structure; Profitability index; Return on assets; Working capital; Debt ratio; Panel data; Business; Monetary economics; Pecking order theory; Debt; Variables; Return on equity; Weighted average return on assets; Return on capital employed; Ordinary least squares; Asset (computer security); Equity (law); Finance; Economics; Econometrics; Microeconomics; Financial capital; Capital formation; Statistics","score_opus":0.045602127084972376,"score_gpt":0.2803204399730294,"score_spread":0.23471831288805703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997596007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985166,0.00025755697,0.000025312942,0.00018999884,0.0000012661793,0.0000038908156,0.00023216955,9.356865e-7,0.0007722938],"genre_scores_gemma":[0.99933785,0.0002047385,0.000019652993,0.000015802168,0.0000028387688,0.000001394149,0.00019949077,2.2257083e-7,0.00021794032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997496,0.000045958895,0.00002323834,0.000044412038,0.000053946427,0.00008281608],"domain_scores_gemma":[0.99546933,0.0009463475,0.0027309014,0.00009877826,0.0002688274,0.00048576636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041822376,0.000112399895,0.00012049741,0.0007783007,0.00031546399,0.00091725576,0.00021190292,0.0002954381,0.0015222157],"category_scores_gemma":[0.002205942,0.00013060642,0.00014587342,0.0012135359,0.0003770965,0.00057575916,0.00050139264,0.0004319911,0.00021029313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019289164,0.00003366507,0.9969297,0.000013759522,0.000016886452,0.00011008095,0.00026996303,0.00012567971,0.000055970373,0.00013565367,0.0001765209,0.0021128943],"study_design_scores_gemma":[0.0000017446785,0.000019317642,0.9984101,0.000015722771,0.00000703143,0.000034964858,0.00072782213,0.0002801015,0.000065118256,0.000048823535,0.00038690778,0.0000022639028],"about_ca_topic_score_codex":0.03418903,"about_ca_topic_score_gemma":0.06424799,"teacher_disagreement_score":0.03418903,"about_ca_system_score_codex":0.000767307,"about_ca_system_score_gemma":0.0006247033,"threshold_uncertainty_score":0.06798011},"labels":[],"label_agreement":null},{"id":"W2997619575","doi":"10.5430/rwe.v10n5p63","title":"The Reciprocal Relationship Between Earnings Management, Disclosure Quality and Board Independence: UK Evidence","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Quality (philosophy); Reciprocal; Accounting; Independence (probability theory); Earnings management; Econometrics; Earnings; Moderation; Structural equation modeling; Simultaneity; Business; Economics; Statistics; Mathematics","score_opus":0.1076811651494272,"score_gpt":0.3587021153789119,"score_spread":0.2510209502294847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997619575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766966,0.012021187,0.0006028482,0.0015171949,0.000036965124,0.000024794243,0.0006462326,0.0000047746025,0.008449376],"genre_scores_gemma":[0.9953648,0.0032490247,0.00020484648,0.00019454402,0.000028911756,0.000005224382,0.0002672935,0.0000033059428,0.0006820813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948442,0.0020724672,0.0008744452,0.0005870355,0.0012029523,0.00041894522],"domain_scores_gemma":[0.9242921,0.03549785,0.032116298,0.0023120558,0.004445493,0.0013361998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056215585,0.00021218862,0.00035379356,0.0017166783,0.00042127518,0.0016933042,0.0005561424,0.0005032559,0.005421325],"category_scores_gemma":[0.030141043,0.00024295588,0.00041181568,0.0028610155,0.0011205359,0.0010393012,0.0014936484,0.00085976976,0.00055652973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001226994,0.00007608203,0.98007727,0.0002595944,0.00021874347,0.00024498787,0.00081314304,0.00011594522,0.00007984705,0.0009022416,0.00042122713,0.01666816],"study_design_scores_gemma":[0.000015123039,0.00015222092,0.99309146,0.00044277334,0.0002395308,0.00022234253,0.0013382181,0.0002861719,0.00023658716,0.00024933426,0.0037128015,0.000013460874],"about_ca_topic_score_codex":0.023354115,"about_ca_topic_score_gemma":0.028405359,"teacher_disagreement_score":0.023354115,"about_ca_system_score_codex":0.00097151316,"about_ca_system_score_gemma":0.0011064928,"threshold_uncertainty_score":0.04643637},"labels":[],"label_agreement":null},{"id":"W2997730299","doi":"10.5430/rwe.v10n5p30","title":"Assessing Strategic Orientation and Mosques Performance","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Context (archaeology); Waqf; Strategic management; Islam; Strategic planning; Religious orientation; Orientation (vector space); Business; Public relations; Institution; Empirical evidence; Empirical research; Path analysis (statistics); Marketing; Political science; Psychology; Social psychology; Law; Geography","score_opus":0.08398909849441107,"score_gpt":0.3381359340554365,"score_spread":0.25414683556102546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997730299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588686,0.00003096154,0.00011498255,0.000052165873,0.0000032137893,0.000015859703,0.000030183202,0.0000017033411,0.00386406],"genre_scores_gemma":[0.99898046,0.00005349747,0.00027079324,0.000011863008,0.000001665341,0.000009460116,0.00004543962,5.37068e-7,0.0006262671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936277,0.00027138923,0.000049156555,0.000030755404,0.00015954286,0.00012640152],"domain_scores_gemma":[0.9968354,0.00077711267,0.0009708297,0.00010007444,0.00055569503,0.0007609578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012492791,0.0001867861,0.000121944366,0.00074761716,0.00051623833,0.0014513825,0.00014855816,0.00027639733,0.0028129688],"category_scores_gemma":[0.0035070977,0.000084384286,0.00018959552,0.0006683124,0.00046987683,0.00045830698,0.0007794619,0.00044598128,0.00040517942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005940737,0.0004290973,0.97003436,0.000049948987,0.000027030597,0.00015311685,0.0048018275,0.00021440905,0.0008733414,0.0010483324,0.00039720925,0.021911904],"study_design_scores_gemma":[0.000005888039,0.00038679794,0.9666705,0.000045275825,0.000015978934,0.000080444006,0.029328415,0.0006243385,0.00061567925,0.0005272853,0.0016818393,0.000017505865],"about_ca_topic_score_codex":0.0027164423,"about_ca_topic_score_gemma":0.007730394,"teacher_disagreement_score":0.0028129688,"about_ca_system_score_codex":0.00059460546,"about_ca_system_score_gemma":0.0007338196,"threshold_uncertainty_score":0.009410381},"labels":[],"label_agreement":null},{"id":"W2997745290","doi":"10.5430/rwe.v10n5p20","title":"Dynamic Relationship Between Real Export, Real Import, Real Exchange Rate, Labor Force and Real Gross Domestic Product in Malaysia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and 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; Real gross domestic product; Unit root; Granger causality; Johansen test; Error correction model; Econometrics; Effective exchange rate; Unit root test; Exchange rate; Gross domestic product; Vector autoregression; Autoregressive model; Short run; Monetary economics; Macroeconomics","score_opus":0.0817051453292958,"score_gpt":0.3318930113358901,"score_spread":0.2501878660065943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997745290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99603206,0.0008300891,0.00021667151,0.0003650851,0.0000105615445,0.0000030928497,0.0005435054,0.000008372145,0.0019905595],"genre_scores_gemma":[0.9980253,0.000385439,0.00010628949,0.000020996373,0.000008807687,0.0000024618598,0.00030586318,0.0000025324225,0.001142433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982554,0.000032657426,0.00002523118,0.000045508947,0.00003343379,0.000037518414],"domain_scores_gemma":[0.9991461,0.00018455155,0.00044310896,0.000028362638,0.00012074376,0.00007711308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037448364,0.00018360837,0.00012485453,0.00062295236,0.000104950916,0.001009914,0.00016344881,0.0002471902,0.0015464915],"category_scores_gemma":[0.0014772331,0.00013719233,0.00019364308,0.0009050412,0.00023823713,0.00068907085,0.0003508901,0.00039958546,0.00030975885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004418703,0.000028367887,0.98839337,0.000049006063,0.000064826585,0.00032518813,0.00038389204,0.0019870573,0.00042217132,0.0008716141,0.0005538253,0.006876569],"study_design_scores_gemma":[0.0000028231057,0.00004044346,0.99294287,0.00003962148,0.000027470449,0.00018120282,0.0007586093,0.0033775668,0.00025109056,0.00028015315,0.0020846077,0.000013506189],"about_ca_topic_score_codex":0.014485407,"about_ca_topic_score_gemma":0.017461691,"teacher_disagreement_score":0.014485407,"about_ca_system_score_codex":0.000507821,"about_ca_system_score_gemma":0.00053866266,"threshold_uncertainty_score":0.028802216},"labels":[],"label_agreement":null},{"id":"W2997916231","doi":"10.5430/rwe.v10n4p92","title":"Usage of Big Data Technology in Controlling","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Big Data and Business Intelligence","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":"Big data; Computer science; Information technology; Information and Communications Technology; The Internet; Emerging technologies; Business; Data science; Risk analysis (engineering); World Wide Web","score_opus":0.29048672996216574,"score_gpt":0.3858734909926992,"score_spread":0.09538676103053345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997916231","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":[0.039890707,0.20420313,0.41906556,0.080297925,0.005029716,0.0005327868,0.001587725,0.0012991797,0.2480933],"genre_scores_gemma":[0.6358918,0.14174442,0.1857242,0.009409474,0.0054973117,0.00052961695,0.0015075488,0.00026602639,0.019429637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9927129,0.0027535018,0.0005221656,0.00101374,0.0026421037,0.00035567026],"domain_scores_gemma":[0.98998183,0.005730476,0.00077983644,0.0014232921,0.0017474266,0.00033714485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005049919,0.00074961607,0.000609116,0.0031443078,0.0012430873,0.0073457183,0.0014376548,0.0021165784,0.0021786408],"category_scores_gemma":[0.0084918495,0.00040861883,0.0006466509,0.0062934496,0.003721452,0.012115237,0.0023133073,0.0028775996,0.0010328887],"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":[0.00013755087,0.00008218835,0.008894717,0.002194947,0.00011731737,0.00072719005,0.0022707814,0.0041281325,0.003560256,0.6843174,0.027522767,0.2660468],"study_design_scores_gemma":[0.000023494753,0.00014574923,0.007198725,0.002010648,0.00014280157,0.0015873954,0.003451798,0.016889675,0.009112177,0.37157303,0.5876875,0.00017704396],"about_ca_topic_score_codex":0.00183557,"about_ca_topic_score_gemma":0.00091048575,"teacher_disagreement_score":0.0073457183,"about_ca_system_score_codex":0.0020550722,"about_ca_system_score_gemma":0.002082296,"threshold_uncertainty_score":0.026706815},"labels":[],"label_agreement":null},{"id":"W2997961993","doi":"10.5430/rwe.v10n5p139","title":"Regional Economic Growth in Malaysia: Does Aggregate Overqualification Matter?","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Kuala lumpur; Demographic economics; Panel data; Economics; Aggregate (composite); Bachelor; Geography; Business; Econometrics","score_opus":0.07036206112068293,"score_gpt":0.30228181051304753,"score_spread":0.2319197493923646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997961993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939614,0.00077456556,0.00017222675,0.0012870562,0.000026547612,0.000007633873,0.0012886738,0.000007174985,0.002474826],"genre_scores_gemma":[0.9983728,0.00036638815,0.00004377339,0.00005318158,0.0000151756085,0.0000028720117,0.00071536785,0.0000017059555,0.00042856403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913836,0.00020087918,0.00008374506,0.00012793754,0.0001708966,0.0002781815],"domain_scores_gemma":[0.99661165,0.0005471411,0.001725267,0.00013403942,0.0004087112,0.0005731131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011313349,0.0002285363,0.0003229161,0.0009018694,0.0002607064,0.0014655113,0.00030032932,0.00028183567,0.0020103678],"category_scores_gemma":[0.003305266,0.00010700168,0.0005193853,0.0016926369,0.00047590898,0.0010952271,0.0010758148,0.001057953,0.00038580404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038733295,0.000023349086,0.9910648,0.00002323438,0.00004046321,0.00009466243,0.00015102161,0.00070526835,0.000034136374,0.00024025534,0.00041244138,0.0071717277],"study_design_scores_gemma":[9.846526e-7,0.000035807,0.99660265,0.000043107826,0.000018757743,0.00004629256,0.0010556725,0.0010191713,0.00008702749,0.000114593546,0.00097128685,0.000004474541],"about_ca_topic_score_codex":0.0355616,"about_ca_topic_score_gemma":0.047386046,"teacher_disagreement_score":0.0355616,"about_ca_system_score_codex":0.0009104897,"about_ca_system_score_gemma":0.0011308854,"threshold_uncertainty_score":0.07070923},"labels":[],"label_agreement":null},{"id":"W2997970768","doi":"10.5430/rwe.v10n5p1","title":"The Influence of Hedonic and Utilitarian Shopping Value Towards Consumer Behavioral Intention Among Youth Mall Shoppers","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Consumer Retail Behavior 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":"Universiti Pendidikan Sultan Idris","keywords":"Shopping mall; Advertising; Value (mathematics); Marketing; Psychology; Consumer behaviour; Business; Computer science","score_opus":0.08250730000754393,"score_gpt":0.3291702772588716,"score_spread":0.2466629772513277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997970768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898285,0.000084962645,0.00004960031,0.000033496304,0.0000021358974,0.0000035139612,0.000020832274,0.0000013262228,0.0008213826],"genre_scores_gemma":[0.99963963,0.00006732679,0.00006577212,0.000011734405,0.0000017234967,0.0000023135212,0.000022266076,7.209264e-7,0.00018854158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962795,0.00012209734,0.00003379638,0.00003490703,0.000108811255,0.000072403294],"domain_scores_gemma":[0.99739575,0.0009006298,0.00070186285,0.00008924938,0.00037803382,0.0005345231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008124754,0.00018490407,0.00017034051,0.0006292318,0.00029965406,0.001359742,0.00013390036,0.00030701075,0.0019736427],"category_scores_gemma":[0.0027594129,0.00016277209,0.0004332801,0.00039819826,0.00036982895,0.0003682588,0.00036969164,0.0005617432,0.00016483534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006200434,0.0001481998,0.9917551,0.00002641719,0.000047060556,0.00010606555,0.0017606406,0.000041341234,0.00032723404,0.000137278,0.000079454956,0.0055092615],"study_design_scores_gemma":[0.0000019131746,0.000084265586,0.99630994,0.000017128625,0.000022855213,0.00007404567,0.0028540834,0.0002521552,0.00010011778,0.00007232846,0.00020474281,0.00000637137],"about_ca_topic_score_codex":0.0035733213,"about_ca_topic_score_gemma":0.007020124,"teacher_disagreement_score":0.0035733213,"about_ca_system_score_codex":0.00024569745,"about_ca_system_score_gemma":0.00038001474,"threshold_uncertainty_score":0.0071050525},"labels":[],"label_agreement":null},{"id":"W2998085015","doi":"10.5430/rwe.v10n5p36","title":"A Proposed Measurement Instruments for Total Quality Management Practices in Higher Education Institutions","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Pendidikan Sultan Idris","keywords":"Total quality management; Benchmarking; Business; Quality management; Customer satisfaction; Context (archaeology); Process management; General partnership; Quality (philosophy); Performance measurement; Higher education; Knowledge management; Service (business); Marketing; Computer science","score_opus":0.38641137091671407,"score_gpt":0.4342090991590682,"score_spread":0.04779772824235412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998085015","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":[0.3898257,0.001198492,0.48667282,0.0057279784,0.00064724183,0.012602461,0.0056762397,0.0015188174,0.096130334],"genre_scores_gemma":[0.5035919,0.00053118676,0.4825354,0.00041048162,0.00006704924,0.0068899365,0.0026293292,0.00004355261,0.0033011637],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9766332,0.007866871,0.004876517,0.0014037788,0.00824255,0.0009770425],"domain_scores_gemma":[0.95120454,0.014605058,0.007460246,0.002918834,0.022447312,0.0013641034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016073346,0.00062111777,0.00052783976,0.005747627,0.0016723225,0.00345777,0.0012295505,0.00097498856,0.0025902991],"category_scores_gemma":[0.04429396,0.00034723952,0.0011780452,0.007117913,0.0010999957,0.0041115596,0.0028884038,0.0017858223,0.0006535206],"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":[0.00017521436,0.0012215404,0.24585149,0.0012350068,0.00015299645,0.00008822354,0.0070369714,0.005173467,0.0037626897,0.04810019,0.009523928,0.6776784],"study_design_scores_gemma":[0.00023191817,0.0037640464,0.7276573,0.0030547215,0.00035727263,0.0005258055,0.027777588,0.048462864,0.015302214,0.043385636,0.12910807,0.00037255458],"about_ca_topic_score_codex":0.003171211,"about_ca_topic_score_gemma":0.0036408524,"teacher_disagreement_score":0.016073346,"about_ca_system_score_codex":0.004690797,"about_ca_system_score_gemma":0.0089583155,"threshold_uncertainty_score":0.085004985},"labels":[],"label_agreement":null},{"id":"W2998162048","doi":"10.5430/rwe.v10n4p31","title":"The Effect of Knowledge Management Systems on Measuring Success Indicators for Saudi Arabia 2030","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Organizational and Employee Performance","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":"Milestone; Scope (computer science); Process management; Knowledge management; Schedule; Analytics; Knowledge sharing; Performance indicator; Business; Success factors; Strategic planning; Computer science; Marketing; Data science; Geography","score_opus":0.037000112101083775,"score_gpt":0.3111023442527318,"score_spread":0.27410223215164803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998162048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98393506,0.00048420855,0.0016147506,0.00090398896,0.000049007816,0.0001511512,0.00037465943,0.00007422485,0.01241288],"genre_scores_gemma":[0.9976077,0.00013170253,0.0015936417,0.00004345628,0.000008030352,0.000065440734,0.00023075682,0.0000052269647,0.00031401007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98084587,0.010279273,0.0016089887,0.0008101321,0.0054166876,0.0010389625],"domain_scores_gemma":[0.80985206,0.12527938,0.022673795,0.0043906933,0.032013826,0.005790213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029071672,0.0006690768,0.00049889146,0.0042743282,0.0011554813,0.0053322962,0.00071839325,0.000830447,0.0014908641],"category_scores_gemma":[0.09585974,0.0002098819,0.0010338081,0.0052100252,0.0010982188,0.004621871,0.002850304,0.0012188002,0.0005035213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001233905,0.0006894839,0.8574521,0.00076354283,0.000455195,0.00014557622,0.0049920618,0.007137505,0.00059038994,0.0044453656,0.0024706912,0.11962427],"study_design_scores_gemma":[0.000065154716,0.0027080313,0.9328909,0.00060154026,0.0003421549,0.00008131403,0.0124029955,0.03991789,0.0030388224,0.0024572068,0.0053848773,0.00010922023],"about_ca_topic_score_codex":0.0195833,"about_ca_topic_score_gemma":0.013628225,"teacher_disagreement_score":0.029071672,"about_ca_system_score_codex":0.0045263045,"about_ca_system_score_gemma":0.0031205243,"threshold_uncertainty_score":0.15374756},"labels":[],"label_agreement":null},{"id":"W2998191282","doi":"10.5430/rwe.v10n4p78","title":"CSR as the Foundation for Responsible Business Management – Good Practices in the Area of Organizational Governance","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Corporate social responsibility; Business; Corporate governance; Element (criminal law); Social responsibility; Compliance (psychology); Public relations; Knowledge management; Political science; Finance","score_opus":0.09930964517761554,"score_gpt":0.36289075886470884,"score_spread":0.2635811136870933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998191282","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":[0.08666888,0.057210468,0.22518161,0.25142166,0.0031961882,0.0011127588,0.00017045214,0.0004390379,0.37459892],"genre_scores_gemma":[0.89120144,0.019766217,0.06693689,0.007012385,0.00063913676,0.00042027188,0.00009659517,0.00009930394,0.013827782],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9761821,0.013470501,0.0013863477,0.0014268067,0.00615375,0.0013805504],"domain_scores_gemma":[0.9846688,0.007312319,0.0019229307,0.0021547182,0.002927308,0.0010140005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017722573,0.0005369874,0.0006219521,0.0026644722,0.003690152,0.012481256,0.0011016006,0.0035341445,0.0014414302],"category_scores_gemma":[0.012742273,0.00037073297,0.00061297923,0.0025769644,0.023872646,0.007578772,0.004632349,0.004781519,0.00049061293],"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":[0.00002039741,0.00009373042,0.0021944023,0.0011317779,0.000039266528,0.00033066692,0.02154565,0.0016860949,0.0012859635,0.86664337,0.008290198,0.096738435],"study_design_scores_gemma":[0.000017284634,0.00013630716,0.004695105,0.0039654165,0.00003202049,0.00049680914,0.016837273,0.0015559638,0.0016606579,0.54907316,0.42146483,0.00006518787],"about_ca_topic_score_codex":0.0039285235,"about_ca_topic_score_gemma":0.0038315624,"teacher_disagreement_score":0.017722573,"about_ca_system_score_codex":0.0061418954,"about_ca_system_score_gemma":0.013766086,"threshold_uncertainty_score":0.09372705},"labels":[],"label_agreement":null},{"id":"W2998208685","doi":"10.5430/rwe.v10n5p129","title":"Contemporary Management Accounting Practices and Managerial Performance Amongst the Malaysian Co-operatives Sector","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Accounting and Organizational 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":"Business; Accounting; Management accounting; Plan (archaeology); Strategic management; Marketing","score_opus":0.0565557373277567,"score_gpt":0.30483984171524586,"score_spread":0.24828410438748916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998208685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864525,0.00015118645,0.000022246919,0.000110226014,0.0000020224788,0.0000016839307,0.000014208796,8.702673e-7,0.0010523254],"genre_scores_gemma":[0.99957687,0.00014400632,0.000025299758,0.00000973481,0.000001895552,7.963234e-7,0.00001171408,3.1288317e-7,0.00022927433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990758,0.00020901549,0.000105723055,0.00007433929,0.00033741607,0.0001976399],"domain_scores_gemma":[0.9941446,0.0007924597,0.003404026,0.00021033999,0.0008765412,0.0005721501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012532258,0.00014962624,0.00009320457,0.0010378308,0.0008033063,0.0021605953,0.00022338038,0.0002832675,0.00095160044],"category_scores_gemma":[0.0044518523,0.00010113013,0.000088643006,0.001558323,0.0007128715,0.0012108692,0.0008071232,0.00038397036,0.0001810735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023063192,0.0000576025,0.97028595,0.00002704385,0.000013513074,0.0001333269,0.010437282,0.00013754894,0.0003472287,0.0003762375,0.00019268853,0.017968465],"study_design_scores_gemma":[6.6368176e-7,0.00005345318,0.9745283,0.000042473002,0.0000056998074,0.00016154228,0.02336755,0.00022421981,0.00015646902,0.000101783524,0.0013475937,0.000010158409],"about_ca_topic_score_codex":0.00907429,"about_ca_topic_score_gemma":0.022087397,"teacher_disagreement_score":0.00907429,"about_ca_system_score_codex":0.0010815678,"about_ca_system_score_gemma":0.00097007304,"threshold_uncertainty_score":0.018042982},"labels":[],"label_agreement":null},{"id":"W2998319350","doi":"10.5430/rwe.v10n4p40","title":"Quest for a New Instrument for Measuring Academic Program Quality","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Hospitality; Quality (philosophy); Confirmatory factor analysis; Exploratory factor analysis; Construct (python library); Reliability (semiconductor); Hospitality industry; Set (abstract data type); Computer science; Order (exchange); Marketing; Business; Structural equation modeling; Political science; Tourism","score_opus":0.28488098530448863,"score_gpt":0.42834393474643323,"score_spread":0.1434629494419446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998319350","genre_codex":"empirical","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":[0.5555292,0.0023593667,0.3728567,0.008481655,0.00071031874,0.0025469656,0.003080462,0.0007906929,0.053644605],"genre_scores_gemma":[0.7424502,0.00080396625,0.25001603,0.0006876134,0.0001457179,0.0016448797,0.0017223352,0.00006386339,0.0024655377],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9850038,0.00603598,0.0017531151,0.0008310081,0.0058645196,0.0005115397],"domain_scores_gemma":[0.94158554,0.029131232,0.0073804497,0.003803551,0.016682306,0.0014168975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016794976,0.00041583576,0.0007092657,0.004066405,0.0007796097,0.00338338,0.0011003672,0.0009345462,0.003244569],"category_scores_gemma":[0.047863483,0.00025567567,0.0008812929,0.0045105824,0.0010694651,0.005167714,0.0016169955,0.0018523803,0.00065167213],"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":[0.00016690794,0.0009268336,0.39888763,0.00088225445,0.00027068562,0.00006231935,0.0030821234,0.002375219,0.0026737405,0.045673914,0.0049589607,0.5400394],"study_design_scores_gemma":[0.00017858233,0.0042778,0.7604878,0.0034254366,0.00058706553,0.0007393819,0.017743867,0.055357162,0.009961695,0.05960036,0.08731301,0.0003277258],"about_ca_topic_score_codex":0.0014542761,"about_ca_topic_score_gemma":0.001693775,"teacher_disagreement_score":0.016794976,"about_ca_system_score_codex":0.0017327145,"about_ca_system_score_gemma":0.004128681,"threshold_uncertainty_score":0.08882141},"labels":[],"label_agreement":null},{"id":"W2998450319","doi":"10.5430/rwe.v10n4p65","title":"Work Turnover and Its Impact on the Quality of Productivity in the Industrial Sector","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Management and Optimization Techniques","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":"Productivity; Turnover; Incentive; Quality (philosophy); Business; Work (physics); Compensation (psychology); Compensation of employees; Labour economics; Industrial organization; Operations management; Economics; Economic growth; Engineering; Microeconomics; Management","score_opus":0.17341938557211778,"score_gpt":0.3757306342320985,"score_spread":0.20231124865998074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998450319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936047,0.0008569806,0.00072589744,0.00034986789,0.000022937293,0.000015708234,0.00007311471,0.000008012543,0.0043427055],"genre_scores_gemma":[0.9995664,0.00009564944,0.00008581895,0.000013636512,0.000008699314,0.0000028614393,0.000022733817,9.3419374e-7,0.00020326456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963272,0.0015124973,0.00027748905,0.00014932113,0.0011561074,0.00057732064],"domain_scores_gemma":[0.97925824,0.0075899297,0.0073562227,0.0006455292,0.0029231913,0.0022267986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027693454,0.00015451947,0.0002951169,0.0012071858,0.0006289264,0.002361081,0.00031931652,0.00041521504,0.0024361752],"category_scores_gemma":[0.01438644,0.00010064506,0.00041573268,0.0013845216,0.0005545838,0.000516772,0.0008827132,0.0006096186,0.00030651386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003528083,0.00043341934,0.95509046,0.00012565251,0.00009845054,0.0002974798,0.0012355155,0.0015633624,0.00049068884,0.00088055705,0.00035650388,0.03907511],"study_design_scores_gemma":[0.000009103258,0.00033167424,0.9945391,0.000055966506,0.000036334633,0.00015337975,0.001999051,0.0016455591,0.0002237896,0.0004114343,0.00058504107,0.000009527947],"about_ca_topic_score_codex":0.0033915946,"about_ca_topic_score_gemma":0.0023545865,"teacher_disagreement_score":0.0033915946,"about_ca_system_score_codex":0.0013261625,"about_ca_system_score_gemma":0.0011834145,"threshold_uncertainty_score":0.0146458745},"labels":[],"label_agreement":null},{"id":"W2998468437","doi":"10.5430/rwe.v10n4p106","title":"The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Big Data and Business Intelligence","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":"Big data; Business; Globe; Marketing; Popularity; E-commerce; Profit (economics); Analytics; Product (mathematics); Data collection; Data science; Computer science; World Wide Web; Political science; Economics","score_opus":0.22745690927657383,"score_gpt":0.4007235798267392,"score_spread":0.17326667055016534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998468437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701007,0.0034323127,0.00011627536,0.009382853,0.00004918115,0.00003055501,0.00015650067,0.0000046373507,0.016726984],"genre_scores_gemma":[0.9974982,0.0014612346,0.00009445797,0.00041171644,0.000017444696,0.000003626051,0.000041097537,0.0000019314775,0.00047017203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659157,0.0014962942,0.0002354056,0.00012770446,0.0010263784,0.0005227675],"domain_scores_gemma":[0.98177147,0.0064203325,0.004258416,0.00038659395,0.0048396927,0.0023235267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029243368,0.00018767909,0.00019410743,0.001599066,0.0024650348,0.0059097577,0.00047019895,0.000732281,0.0025113523],"category_scores_gemma":[0.009511113,0.00019348621,0.0002675897,0.0022776101,0.0019001531,0.0025211652,0.0025128485,0.0011809776,0.00034367444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004524096,0.0003844889,0.7946783,0.00086978474,0.00015679204,0.0038220128,0.08167964,0.00084354705,0.0011343369,0.013604134,0.008584697,0.09378978],"study_design_scores_gemma":[0.00002051906,0.0001570973,0.6705805,0.00095556147,0.000060402243,0.0010663796,0.28543842,0.0016349665,0.0007418201,0.0018220226,0.03744739,0.000074952826],"about_ca_topic_score_codex":0.059325173,"about_ca_topic_score_gemma":0.057248056,"teacher_disagreement_score":0.059325173,"about_ca_system_score_codex":0.0057482813,"about_ca_system_score_gemma":0.005272536,"threshold_uncertainty_score":0.11795968},"labels":[],"label_agreement":null},{"id":"W2998522375","doi":"10.5430/rwe.v10n5p104","title":"Economic Literacy: Does It Matter for Policy Understanding?","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Human capital; Sample (material); Literacy; Economics education; Economics; Quality (philosophy); Population; Economic statistics; Economic growth; Public economics; Sociology; Higher education","score_opus":0.05575362800124874,"score_gpt":0.344699618502761,"score_spread":0.28894599050151226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998522375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670108,0.0014843944,0.00048326186,0.010941632,0.00006235147,0.00002867335,0.00018830059,0.0000071215186,0.019793354],"genre_scores_gemma":[0.9985643,0.00036041523,0.00008557911,0.00030336663,0.000021860946,0.000009356585,0.000049681857,0.000003295483,0.0006022233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978138,0.0009254571,0.00015492659,0.00024438425,0.00036761936,0.00049381814],"domain_scores_gemma":[0.9687641,0.018628148,0.007606084,0.0007900124,0.0018568684,0.0023547162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00361734,0.00015105649,0.00040474936,0.0012351195,0.0007431843,0.0032511468,0.0005175664,0.001105337,0.009927927],"category_scores_gemma":[0.03969295,0.00022035767,0.00046991865,0.001052156,0.0020493066,0.0033504458,0.0015441542,0.0021834539,0.0007170707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013169023,0.000520984,0.9313601,0.00019261656,0.00012835459,0.0003305893,0.013491087,0.00012253778,0.00021978145,0.0047319387,0.0015396683,0.04723058],"study_design_scores_gemma":[0.00001078496,0.000112548536,0.97291076,0.0003149736,0.00007941126,0.00026347616,0.016999656,0.0004259354,0.00017501954,0.0051293266,0.0035553414,0.00002265955],"about_ca_topic_score_codex":0.0051138313,"about_ca_topic_score_gemma":0.004767318,"teacher_disagreement_score":0.009927927,"about_ca_system_score_codex":0.0010052674,"about_ca_system_score_gemma":0.0013360726,"threshold_uncertainty_score":0.033212245},"labels":[],"label_agreement":null},{"id":"W2998636918","doi":"10.5430/rwe.v10n5p81","title":"Economic Development Resiliency: Mobilized Disaster’s Readiness Among Higher Learning Students in Malaysia","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Community Development and Social 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":"Cronbach's alpha; Psychology; Consistency (knowledge bases); Natural disaster; Internal consistency; Quality (philosophy); Medical education; Applied psychology; Geography; Computer science; Medicine; Clinical psychology","score_opus":0.07895518674309525,"score_gpt":0.34942837844714275,"score_spread":0.2704731917040475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998636918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990006,0.000042647393,0.00001762614,0.0001685642,0.0000029502792,0.000011617294,0.000025905365,9.922012e-7,0.00072910974],"genre_scores_gemma":[0.9994254,0.00008994273,0.00004230138,0.000030465606,0.0000015401166,0.000009272771,0.00002601424,4.7694203e-7,0.00037465012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959105,0.00009228047,0.000043623437,0.000032878368,0.000081359525,0.00015879307],"domain_scores_gemma":[0.9989089,0.0001338236,0.0003334599,0.000032784752,0.00012347834,0.00046757158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009241579,0.00021913844,0.00017955553,0.00088972424,0.00080281723,0.0012507353,0.00028862047,0.0003922558,0.0022236472],"category_scores_gemma":[0.0014646637,0.00020307135,0.00029498638,0.00062724185,0.0005539884,0.0008156741,0.0011784469,0.00089183217,0.00026571853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038468916,0.00043835054,0.9646529,0.00010968833,0.000021863269,0.00037278153,0.014248733,0.00010725761,0.00047629807,0.00031445286,0.0007308619,0.01848826],"study_design_scores_gemma":[0.000003025485,0.00031358554,0.9440471,0.00008940955,0.0000122306,0.00022764281,0.052546386,0.00018432351,0.00029137236,0.0001650215,0.0021028116,0.000017081598],"about_ca_topic_score_codex":0.003190646,"about_ca_topic_score_gemma":0.005983058,"teacher_disagreement_score":0.003190646,"about_ca_system_score_codex":0.00060912373,"about_ca_system_score_gemma":0.0013649566,"threshold_uncertainty_score":0.0074388385},"labels":[],"label_agreement":null},{"id":"W2998691110","doi":"10.5430/rwe.v10n5p157","title":"Incentive Effects of Granting Equity-Based Payment on Reducing Top Executive Turnover","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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":"Incentive; Business; Equity (law); Payment; Cash; Finance; Accounting; Economics; Microeconomics","score_opus":0.04198684431446903,"score_gpt":0.3076575352090931,"score_spread":0.2656706908946241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998691110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946517,0.0003148762,0.00040561194,0.00033894298,0.000034086668,0.000052433148,0.000028271645,0.000015769341,0.00415839],"genre_scores_gemma":[0.9984559,0.00011806506,0.0005238083,0.00007137288,0.000026069582,0.000017521696,0.000015512676,0.000001222187,0.0007705368],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989525,0.00058661087,0.00005509588,0.000052177063,0.00014632051,0.00020720439],"domain_scores_gemma":[0.99336547,0.0032231554,0.0017208885,0.00020327925,0.0004018026,0.0010853995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016329001,0.00021121367,0.0002611649,0.00033837065,0.00024673034,0.00044027288,0.0003557057,0.00051570917,0.0053125904],"category_scores_gemma":[0.007640467,0.00007334928,0.0003030852,0.0001835534,0.00023203726,0.00038204508,0.00065977965,0.0005538213,0.00024953234],"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":[0.017325379,0.033513427,0.26797068,0.0016974281,0.00070855045,0.0008810379,0.0014356219,0.0123931635,0.020339103,0.009514262,0.0031239083,0.63109744],"study_design_scores_gemma":[0.0011245031,0.03129949,0.9406453,0.00039040652,0.0006067851,0.00031761942,0.0014477611,0.009087406,0.006103594,0.0030140686,0.005919198,0.000043836935],"about_ca_topic_score_codex":0.0006207059,"about_ca_topic_score_gemma":0.001340381,"teacher_disagreement_score":0.0053125904,"about_ca_system_score_codex":0.00031953974,"about_ca_system_score_gemma":0.0008478065,"threshold_uncertainty_score":0.017772377},"labels":[],"label_agreement":null},{"id":"W3009045123","doi":"10.5430/rwe.v11n1p28","title":"US-China Trade Conflicts: Review on Gains or Losses?","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Protectionism; China; Trade war; Economics; Balance of trade; International trade; Multilateral trade negotiations; World economy; Negotiation; Commercial policy; World trade; Trade barrier; Balance (ability); International economics; Political science","score_opus":0.4109863094008446,"score_gpt":0.37301948234139337,"score_spread":0.0379668270594512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009045123","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":[0.0001679591,0.99861395,0.000031446965,0.0004632427,0.00018058502,0.000006457353,0.00004685035,0.0000018885444,0.0004876128],"genre_scores_gemma":[0.0012299289,0.9981908,0.000047572965,0.00029492268,0.00011643439,0.000005585499,0.000033903732,9.821613e-7,0.00007984245],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990761,0.00022967737,0.00027504543,0.000115262366,0.0002502815,0.00005369274],"domain_scores_gemma":[0.9937669,0.0041666273,0.0010726611,0.00007339192,0.0007983552,0.00012196955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024747704,0.0006745845,0.0015356423,0.0049456456,0.00042689973,0.0022983395,0.0009835534,0.0011748631,0.0056815227],"category_scores_gemma":[0.0075285095,0.00038289352,0.0013338317,0.0078064613,0.000694198,0.0020155485,0.0008067264,0.0009033323,0.0006636521],"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":[0.00020923564,0.000044611847,0.0011160505,0.24632041,0.0010018167,0.00021030914,0.00034404756,0.00033183632,0.00026827343,0.0051312065,0.042411692,0.7026105],"study_design_scores_gemma":[0.000046428184,0.0001756374,0.005574949,0.2607423,0.0031437674,0.0008060469,0.0007880656,0.00011723406,0.0003121003,0.0029300358,0.725323,0.00004043526],"about_ca_topic_score_codex":0.0034968792,"about_ca_topic_score_gemma":0.0097356215,"teacher_disagreement_score":0.0056815227,"about_ca_system_score_codex":0.0010449731,"about_ca_system_score_gemma":0.005566949,"threshold_uncertainty_score":0.01900655},"labels":[],"label_agreement":null},{"id":"W3009151793","doi":"10.5430/rwe.v11n1p48","title":"Corporate Governance, Firm Performance and Capital Structure: Evidence From Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Analysis and Corporate 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; Business; Corporate governance; Stock exchange; Corporation; Sample (material); Capital structure; Shareholder; Path analysis (statistics); Finance","score_opus":0.08150725808914261,"score_gpt":0.25280202764568577,"score_spread":0.17129476955654316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009151793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99516284,0.00046904242,0.000082048435,0.00021905224,0.0000052939226,0.0000065198756,0.00020203722,0.0000019230395,0.0038512144],"genre_scores_gemma":[0.99908173,0.0003752921,0.00004124066,0.00003625632,0.000007122971,0.0000024739675,0.00019229995,0.0000012186712,0.00026243384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960095,0.00009445527,0.000043335604,0.00007141052,0.000116529955,0.00007324997],"domain_scores_gemma":[0.9953288,0.0012952602,0.002507435,0.00015496874,0.00029107812,0.00042250764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007620818,0.00018004225,0.00025772565,0.0009129125,0.00037387578,0.0011542712,0.00026066814,0.00021657854,0.0020897395],"category_scores_gemma":[0.0024195127,0.00013561644,0.0001867861,0.0016836991,0.00062942825,0.00065516034,0.00066199614,0.00052021694,0.00031699945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043128188,0.00015831158,0.9909533,0.00004897071,0.00005331718,0.00031722718,0.0007694728,0.00014744163,0.000102916034,0.000450044,0.00042830838,0.0065274704],"study_design_scores_gemma":[0.00000495062,0.000031988115,0.997088,0.000041355324,0.000037782473,0.000113890004,0.0012963491,0.00026738655,0.0000914905,0.00014477619,0.0008784663,0.0000035402088],"about_ca_topic_score_codex":0.011812637,"about_ca_topic_score_gemma":0.020199941,"teacher_disagreement_score":0.011812637,"about_ca_system_score_codex":0.00048688825,"about_ca_system_score_gemma":0.000594949,"threshold_uncertainty_score":0.023487747},"labels":[],"label_agreement":null},{"id":"W3009240042","doi":"10.5430/rwe.v11n1p106","title":"Impact of Tourism Sector on Gross Domestic Product Growth in Jordan","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Aspects of Tourism Research","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":"Tourism; Gross domestic product; Economics; Ordinary least squares; Real gross domestic product; Annual growth %; Agricultural economics; Macroeconomics; Econometrics; Geography","score_opus":0.11935238321283992,"score_gpt":0.42972302127492046,"score_spread":0.31037063806208054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009240042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661383,0.0029819477,0.00021542853,0.0015651922,0.000047563168,0.000016602498,0.0019653689,0.00003928273,0.027030328],"genre_scores_gemma":[0.9921117,0.0024530278,0.00019300253,0.00008901876,0.000029098454,0.000008226567,0.0012866812,0.0000114199975,0.0038178917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997087,0.00007489764,0.000021808286,0.000026589867,0.000083343286,0.00008465463],"domain_scores_gemma":[0.9991135,0.00008836826,0.00024586916,0.000020612737,0.00038541315,0.00014622329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034732893,0.0002580849,0.00012933044,0.0008669743,0.0002445947,0.0010939019,0.000115626244,0.0001221025,0.0029867569],"category_scores_gemma":[0.001048733,0.0000591551,0.00029667243,0.0015727446,0.00021964301,0.00048567774,0.0007775383,0.0004080904,0.000515376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016756894,0.00012283551,0.9299441,0.00025942968,0.00009823401,0.0010318097,0.0008322813,0.0037927025,0.0008483955,0.0028567424,0.0077874577,0.052258357],"study_design_scores_gemma":[0.000007171729,0.00011517491,0.9680618,0.00014032066,0.00004158105,0.00030987928,0.0048842155,0.0025861387,0.00073238683,0.000618235,0.022488758,0.0000143265],"about_ca_topic_score_codex":0.014316022,"about_ca_topic_score_gemma":0.018816879,"teacher_disagreement_score":0.014316022,"about_ca_system_score_codex":0.00094591826,"about_ca_system_score_gemma":0.0015240773,"threshold_uncertainty_score":0.02846539},"labels":[],"label_agreement":null},{"id":"W3009319045","doi":"10.5430/rwe.v11n1p137","title":"The Relationship Between Good Corporate Governance and Performance of Most Liquid Stocks in Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Stock exchange; Accounting; Corporate governance; Insider; Debt; Audit; Audit committee; Debt ratio; Foreign ownership; Finance; Economics; Foreign direct investment","score_opus":0.1271568421866169,"score_gpt":0.2879296177182487,"score_spread":0.1607727755316318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009319045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910563,0.000054514094,0.000029145753,0.00005786273,0.0000016784205,0.0000020056173,0.000021814614,0.0000014052646,0.0007259239],"genre_scores_gemma":[0.99977595,0.000029003186,0.00002037432,0.00000495514,0.0000025727334,5.830461e-7,0.000026898746,4.895597e-7,0.00013907821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995646,0.00010155657,0.00007278486,0.00005331559,0.0001265321,0.000081150945],"domain_scores_gemma":[0.9934489,0.0006559335,0.004534137,0.00016422682,0.00046210078,0.00073464116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007189908,0.00011788817,0.00014135352,0.0004930534,0.00023107798,0.0010701439,0.00012642948,0.00019242188,0.00093903753],"category_scores_gemma":[0.002921635,0.00006306234,0.00008275023,0.00051587704,0.00035876143,0.0004132261,0.00041515345,0.00028770478,0.00016029036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027532627,0.000042386397,0.9957476,0.000004890441,0.000012380942,0.00007612079,0.00021990662,0.000101010366,0.00021990642,0.000073935655,0.00006457891,0.0034096804],"study_design_scores_gemma":[0.0000010404619,0.000034697998,0.99904376,0.000004037757,0.000004590182,0.000049636034,0.00037789744,0.00019630532,0.00010122303,0.000051661274,0.00013327385,0.000001912885],"about_ca_topic_score_codex":0.00391686,"about_ca_topic_score_gemma":0.0075032376,"teacher_disagreement_score":0.00391686,"about_ca_system_score_codex":0.00037381594,"about_ca_system_score_gemma":0.00036876925,"threshold_uncertainty_score":0.0077881217},"labels":[],"label_agreement":null},{"id":"W3009338753","doi":"10.5430/rwe.v11n1p115","title":"Formulation of Problem-Solving Design for Indonesian Informal Sector Migrant Workers Towards Post-Placement Independence: Case Study in Malaysia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration and Labor Dynamics","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":"Indonesian; Migrant workers; Focus group; Qualitative research; Descriptive statistics; Sociology; Business; Economic growth; Economics; Marketing; Mathematics; Social science; Statistics","score_opus":0.10525479723705843,"score_gpt":0.38031815579971395,"score_spread":0.2750633585626555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009338753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8661575,0.0004335655,0.086780764,0.0036463854,0.000058784124,0.0019057697,0.00007857324,0.00008117658,0.040857494],"genre_scores_gemma":[0.89660007,0.00045809592,0.091352664,0.00018047467,0.000009259316,0.0008521805,0.000050441537,0.000015202528,0.01048162],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9952129,0.0036483288,0.00014060122,0.00024815756,0.0002719786,0.00047813237],"domain_scores_gemma":[0.9966092,0.0019919476,0.00037522477,0.00016343505,0.0003164874,0.00054378586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055216923,0.00055622775,0.00035853562,0.0006614651,0.0047037513,0.0039074244,0.0020159292,0.0022343805,0.0035642255],"category_scores_gemma":[0.004084259,0.0003574135,0.0006148047,0.0007840983,0.0028255468,0.0020294616,0.0030556603,0.0016919385,0.00033305486],"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":[0.0006559224,0.007112319,0.026263883,0.0022097125,0.000082595776,0.01525206,0.52807593,0.04748031,0.007560857,0.17455062,0.0075990655,0.1831567],"study_design_scores_gemma":[0.00027747382,0.00180715,0.007422487,0.0008712167,0.000057251247,0.0024763977,0.7961873,0.0770261,0.0047486722,0.034379903,0.07464495,0.00010109133],"about_ca_topic_score_codex":0.0038231013,"about_ca_topic_score_gemma":0.008289407,"teacher_disagreement_score":0.0055216923,"about_ca_system_score_codex":0.0035528266,"about_ca_system_score_gemma":0.006906134,"threshold_uncertainty_score":0.029201865},"labels":[],"label_agreement":null},{"id":"W3009339105","doi":"10.5430/rwe.v11n1p64","title":"Description of the Determination Processes for the Typical Research and Development Intensity Normative Indicators","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology Assessment and Management","field":"Engineering","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":"Normative; Production (economics); Product (mathematics); Computer science; Work (physics); Hierarchy; Process (computing); Normative model of decision-making; Labor intensity; Operations research; Econometrics; Industrial engineering; Operations management; Economics; Mathematics; Engineering; Microeconomics","score_opus":0.16138368268368947,"score_gpt":0.35390188749562335,"score_spread":0.19251820481193388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009339105","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":[0.0041255555,0.0007987102,0.961585,0.00039725093,0.00013511826,0.00091045577,0.0010073071,0.0013034428,0.029737176],"genre_scores_gemma":[0.04558839,0.0013762091,0.9308058,0.00013958689,0.00011888393,0.0016529147,0.0019676106,0.00039089075,0.017959736],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99440235,0.001302462,0.0008171125,0.0010202926,0.0021819207,0.00027590373],"domain_scores_gemma":[0.99483806,0.0016187154,0.0005259052,0.0010084239,0.0018536957,0.00015508891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048699747,0.0010654705,0.0004992516,0.0053638914,0.0015645622,0.0056198738,0.0013936197,0.0011793217,0.014513752],"category_scores_gemma":[0.00941195,0.0006708928,0.001152447,0.004715365,0.0013278972,0.003465931,0.0018951459,0.002012487,0.0073029264],"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":[0.00012743255,0.00017978258,0.005718559,0.00074354967,0.000036331683,0.0003329658,0.0011472218,0.010876028,0.009223567,0.5446724,0.01205497,0.41488716],"study_design_scores_gemma":[0.000046745918,0.00024559605,0.010562855,0.0006951899,0.00010641579,0.0019024394,0.0012009846,0.08718664,0.041593693,0.24223387,0.6139675,0.0002581327],"about_ca_topic_score_codex":0.004927235,"about_ca_topic_score_gemma":0.0031900376,"teacher_disagreement_score":0.014513752,"about_ca_system_score_codex":0.0027925728,"about_ca_system_score_gemma":0.0052035223,"threshold_uncertainty_score":0.048553348},"labels":[],"label_agreement":null},{"id":"W3009459297","doi":"10.5430/rwe.v11n1p130","title":"Factors Affecting the Incomes of Peasant Households Affected by Climate Change in Tra Vinh Province, Viet Nam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Regional Development and Environment","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":"Trường Đại học Trà Vinh","keywords":"Viet nam; Geography; Peasant; Agriculture; Socioeconomics; Climate change; Work (physics); Economic growth; Agricultural economics; Economics; Economy; Ecology","score_opus":0.18768558909700347,"score_gpt":0.36893296511651036,"score_spread":0.18124737601950688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009459297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992861,0.000025948824,0.000015071788,0.00005326628,0.0000012627856,0.0000028022964,0.000058446247,5.141724e-7,0.0005565663],"genre_scores_gemma":[0.99971193,0.000026888816,0.000018852314,0.000008781407,8.792212e-7,0.0000039159036,0.00003259802,2.2958726e-7,0.00019596136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998679,0.00004167322,0.000005634604,0.000012046102,0.000015312644,0.000057503003],"domain_scores_gemma":[0.99976045,0.000053350297,0.00006281413,0.000007984216,0.000042012292,0.000073353935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019164424,0.00012183395,0.00008144737,0.00027238566,0.0007122481,0.00043964526,0.00012119538,0.00011969088,0.0015149458],"category_scores_gemma":[0.0006063302,0.000068461246,0.00011323708,0.00056343095,0.00022454158,0.00018956662,0.00026623713,0.00017156778,0.00007266187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000308337,0.0000353873,0.98420495,0.000027115,0.000017939346,0.00060221984,0.00762923,0.00017016921,0.00047881418,0.00016211293,0.00038634767,0.006254847],"study_design_scores_gemma":[0.0000010326049,0.000022730963,0.9785549,0.0000129328655,0.0000040238374,0.0000797857,0.020253079,0.00014325764,0.00006319296,0.000051769515,0.00081068923,0.0000026382227],"about_ca_topic_score_codex":0.05497194,"about_ca_topic_score_gemma":0.09280967,"teacher_disagreement_score":0.05497194,"about_ca_system_score_codex":0.000940506,"about_ca_system_score_gemma":0.0005477901,"threshold_uncertainty_score":0.10930395},"labels":[],"label_agreement":null},{"id":"W3009488254","doi":"10.5430/rwe.v11n1p123","title":"Implications of Generic Skills on Innovative Behavior Towards Opportunity Recognition in Youth","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Teknologi MARA","keywords":"Proactivity; Creativity; Entrepreneurship; Government (linguistics); Unemployment; Youth unemployment; Marketing; Digitization; Competition (biology); Business; Public relations; Knowledge management; Psychology; Economics; Engineering; Economic growth; Political science; Computer science; Social psychology","score_opus":0.2744051160150675,"score_gpt":0.3673921951444335,"score_spread":0.09298707912936599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009488254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984666,0.00008230481,0.000041932482,0.00014022354,0.000005095761,0.0000068599015,0.000029395562,0.000001665561,0.0012260241],"genre_scores_gemma":[0.999273,0.0000853775,0.00007597261,0.00003572244,0.0000032451276,0.0000052793966,0.000028530434,9.692316e-7,0.00049192645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993419,0.00017109876,0.000043129377,0.00006885578,0.00012014078,0.00025493154],"domain_scores_gemma":[0.9950051,0.001259723,0.0013488091,0.00018195964,0.0004765986,0.0017279664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097282976,0.00017913811,0.00017271379,0.00056273,0.0004689479,0.0011848831,0.00022751685,0.00036019375,0.0046712114],"category_scores_gemma":[0.005134211,0.00012596295,0.0004934963,0.0003708068,0.00055451924,0.00047147088,0.00074669224,0.0008802409,0.000261742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004262796,0.00043625766,0.97889745,0.000037979447,0.000022566548,0.0001720919,0.0022551203,0.00005630745,0.00040251962,0.0003045421,0.00019786983,0.01717463],"study_design_scores_gemma":[0.0000022161257,0.00009693233,0.996675,0.00003085953,0.000016348722,0.00008298213,0.0021916982,0.00011955045,0.00013726922,0.00017817655,0.00046423537,0.000004622654],"about_ca_topic_score_codex":0.0032737213,"about_ca_topic_score_gemma":0.0067241197,"teacher_disagreement_score":0.0046712114,"about_ca_system_score_codex":0.00036708915,"about_ca_system_score_gemma":0.0008214762,"threshold_uncertainty_score":0.015626788},"labels":[],"label_agreement":null},{"id":"W3009756607","doi":"10.5430/rwe.v11n1p34","title":"Investment in Agriculture and Extractive Industry: A Panacea for National Development","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Oil boom; Diversification (marketing strategy); Gross domestic product; Agriculture; Real gross domestic product; Economics; Economic sector; Repatriation; Business; Natural resource economics; Agricultural economics; Economic growth; Economy; Macroeconomics; Geography","score_opus":0.1423187038370096,"score_gpt":0.33935288150322324,"score_spread":0.19703417766621364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009756607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8253139,0.0242053,0.0034852328,0.01859426,0.00023461567,0.0000662401,0.0009216467,0.00004366078,0.12713511],"genre_scores_gemma":[0.98495215,0.008469705,0.0014618589,0.00021863078,0.000025664225,0.000014670332,0.00018050936,0.000003529506,0.004673131],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99982375,0.000038963422,0.000012355118,0.000021488668,0.00005127974,0.000052204046],"domain_scores_gemma":[0.9996227,0.000068716865,0.00014129603,0.000014969741,0.000073274336,0.000079009325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018381,0.00020135443,0.0001947058,0.00055907137,0.00046446844,0.0018660492,0.00016550973,0.00034350512,0.0029462902],"category_scores_gemma":[0.0007957553,0.000073778174,0.00011984219,0.001129564,0.0004523542,0.00097129063,0.0009000766,0.00061865593,0.00020258459],"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":[0.0001560225,0.0001554965,0.56906456,0.0011712094,0.00012854897,0.0010745781,0.002126181,0.0024975804,0.0041731694,0.11069914,0.0071782568,0.30157524],"study_design_scores_gemma":[0.000013076575,0.00017609206,0.749813,0.0021439407,0.00013999641,0.0007922749,0.012198077,0.0036214108,0.003620784,0.022511056,0.20494078,0.000029474082],"about_ca_topic_score_codex":0.003317896,"about_ca_topic_score_gemma":0.012208759,"teacher_disagreement_score":0.003317896,"about_ca_system_score_codex":0.001129973,"about_ca_system_score_gemma":0.0022279837,"threshold_uncertainty_score":0.009856284},"labels":[],"label_agreement":null},{"id":"W3009771967","doi":"10.5430/rwe.v11n1p93","title":"Reciprocity Between Productivity and Credit Growth in Vietnam’s Co-operatives Credit Institutions","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Productivity; Business; Reciprocity (cultural anthropology); Panel data; Economics; Economic growth","score_opus":0.2089732711784206,"score_gpt":0.35808082190158436,"score_spread":0.14910755072316376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009771967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951786,0.00007937538,0.00021858906,0.0003640034,0.0000055742703,0.000010185223,0.0003494083,0.0000022671127,0.0037920282],"genre_scores_gemma":[0.99929225,0.000031212454,0.00004500984,0.000011427176,0.0000020546931,0.000004529091,0.00009759704,6.5887923e-7,0.00051535043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914694,0.00031875208,0.000053877673,0.00012179292,0.00011866021,0.00024003946],"domain_scores_gemma":[0.99285454,0.0027085491,0.0020959966,0.00027667749,0.0011880253,0.0008761821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016836333,0.000095169016,0.00014249516,0.00074575434,0.0005317126,0.0013660892,0.0002186999,0.0001715781,0.0027265705],"category_scores_gemma":[0.0066415314,0.00009057807,0.00011952972,0.0012185618,0.00049623597,0.0007270281,0.0008454819,0.00046809774,0.0001862533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024490908,0.000041186275,0.9896361,0.000015968608,0.000022298078,0.00015239482,0.001988372,0.00055893854,0.000057401885,0.0014223461,0.00053560804,0.005544916],"study_design_scores_gemma":[0.0000036907845,0.000042693468,0.9830767,0.000048906724,0.000018705565,0.00007042239,0.009903056,0.0027011912,0.0001582165,0.00074903475,0.0032188683,0.000008470734],"about_ca_topic_score_codex":0.057095345,"about_ca_topic_score_gemma":0.05510948,"teacher_disagreement_score":0.057095345,"about_ca_system_score_codex":0.0018912093,"about_ca_system_score_gemma":0.0021309888,"threshold_uncertainty_score":0.11352605},"labels":[],"label_agreement":null},{"id":"W3009907285","doi":"10.5430/rwe.v11n1p1","title":"On the Fiscal Policy in Malaysia: An Econometrical Analysis Between the Revenue – and Expenditure","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Economics; Revenue; Government revenue; Granger causality; Tax revenue; Fiscal policy; Government expenditure; Government spending; Public finance; Causality (physics); Government (linguistics); Monetary economics; Public economics; Macroeconomics; Investment (military); Tax policy; Tax reform; Finance; Econometrics; Market economy","score_opus":0.1403529491242342,"score_gpt":0.33419986807068347,"score_spread":0.19384691894644926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009907285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99318296,0.0005304904,0.0016604684,0.0008344739,0.000024855013,0.00003153011,0.001033843,0.000026810603,0.0026745687],"genre_scores_gemma":[0.9939699,0.00071165257,0.00053149636,0.000070518094,0.000031178723,0.000020301526,0.0009144739,0.000012310915,0.0037382836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926525,0.00025805258,0.00005290411,0.000107054795,0.00007182516,0.00024489246],"domain_scores_gemma":[0.9950604,0.0033794541,0.0008580283,0.00010847326,0.00024352892,0.00035016765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024139383,0.0004732986,0.0005912774,0.0014573074,0.00041708688,0.0021844462,0.00059821416,0.0008771143,0.0058913757],"category_scores_gemma":[0.005000538,0.00055611215,0.0014911501,0.0018518287,0.0005334332,0.0017112519,0.0011233499,0.0023278445,0.0012191272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048143134,0.0006555679,0.8638059,0.00020752789,0.00046874295,0.0013706727,0.0007655059,0.1002048,0.0004967565,0.011392927,0.0032760145,0.016874293],"study_design_scores_gemma":[0.000065521774,0.00062090496,0.6308685,0.0002842458,0.00060713344,0.00040961636,0.0041388557,0.35126746,0.0011484268,0.0043069557,0.0061562345,0.00012618155],"about_ca_topic_score_codex":0.09358345,"about_ca_topic_score_gemma":0.05903699,"teacher_disagreement_score":0.09358345,"about_ca_system_score_codex":0.0027463003,"about_ca_system_score_gemma":0.0025541065,"threshold_uncertainty_score":0.18607748},"labels":[],"label_agreement":null},{"id":"W3009950523","doi":"10.5430/rwe.v11n1p20","title":"Incentive Function of Audit Opinion for the Increase of Regional Operational Expenditure and Own-Source Revenues Through Sensitivity Analysis in Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Fiscal 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":"Incentive; Realization (probability); Revenue; Audit; Government (linguistics); Value (mathematics); Sample (material); Java; Business; Economics; Accounting; Public economics; Statistics; Microeconomics; Computer science","score_opus":0.10435760257017948,"score_gpt":0.3104134000405591,"score_spread":0.20605579747037964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009950523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923471,0.00016522066,0.0034842945,0.00028258417,0.000020208105,0.000079529076,0.000284551,0.000043401284,0.0032930062],"genre_scores_gemma":[0.9994709,0.00002095386,0.000214536,0.000017931025,0.000004070091,0.000012554445,0.000049400252,0.0000027356953,0.00020690424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9913771,0.00561915,0.0003774705,0.0010434348,0.00074345863,0.0008393259],"domain_scores_gemma":[0.9108134,0.07328973,0.010240949,0.002693571,0.0018904993,0.0010718706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0099826185,0.00046102275,0.0007528038,0.0010974187,0.00030110226,0.0020602597,0.0005118225,0.0007178297,0.0032843284],"category_scores_gemma":[0.04209092,0.000343897,0.0019834794,0.0007807197,0.0009982426,0.00097413245,0.0012361017,0.0015705005,0.00025106757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013024634,0.00044389672,0.9269611,0.00020530606,0.0019140928,0.0010757176,0.0008107825,0.04601315,0.002198944,0.005398182,0.0008415501,0.0128347445],"study_design_scores_gemma":[0.000046660716,0.0005876085,0.8916475,0.00005904004,0.0007719943,0.00030931263,0.0012814222,0.09842311,0.0021218723,0.0035826443,0.001085849,0.00008296765],"about_ca_topic_score_codex":0.009806575,"about_ca_topic_score_gemma":0.0032340165,"teacher_disagreement_score":0.0099826185,"about_ca_system_score_codex":0.0015135248,"about_ca_system_score_gemma":0.001060066,"threshold_uncertainty_score":0.05279374},"labels":[],"label_agreement":null},{"id":"W3010040100","doi":"10.5430/rwe.v11n1p11","title":"E-Learning Evolution and Development From the Perspectives of Technology, Education, and Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Online Learning and Analytics","field":"Computer Science","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":"Bộ Giáo dục và Ðào tạo","keywords":"Foundation (evidence); Knowledge economy; Knowledge management; Engineering ethics; Computer science; Political science; Engineering","score_opus":0.032770690230358536,"score_gpt":0.3224477369955032,"score_spread":0.28967704676514466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010040100","genre_codex":"other","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":[0.10881861,0.11424838,0.046609826,0.0952985,0.0012268792,0.000093544164,0.00020809511,0.00008136835,0.63341475],"genre_scores_gemma":[0.9049462,0.061922662,0.010064352,0.003133832,0.0008648073,0.00007573931,0.00008674988,0.000045789504,0.018859819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881446,0.0006538647,0.00004548188,0.0001372024,0.00019499125,0.00015393646],"domain_scores_gemma":[0.9987558,0.0006632981,0.00010246504,0.000068635156,0.00023840334,0.00017133582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016196951,0.0003089725,0.00024138717,0.002041514,0.0013133391,0.0073336214,0.0005341371,0.0017751447,0.002781917],"category_scores_gemma":[0.0016010161,0.0001457729,0.00022930723,0.0029914519,0.0059273345,0.011721871,0.0024664714,0.0023214302,0.0004342406],"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":[0.000013974978,0.0000359247,0.0022801836,0.000110887115,0.0000062200816,0.00018857444,0.003321307,0.00036786718,0.00022832464,0.95135146,0.0019315069,0.040163778],"study_design_scores_gemma":[0.000008865031,0.00008607427,0.009763293,0.00092318415,0.00001662149,0.0006366922,0.027014649,0.0027833967,0.0008813673,0.51369864,0.44415075,0.000036358448],"about_ca_topic_score_codex":0.0014565935,"about_ca_topic_score_gemma":0.001734427,"teacher_disagreement_score":0.0073336214,"about_ca_system_score_codex":0.003848802,"about_ca_system_score_gemma":0.002034414,"threshold_uncertainty_score":0.027925193},"labels":[],"label_agreement":null},{"id":"W3010208548","doi":"10.5430/rwe.v11n1p56","title":"Does Education Lead to a Healthier Diet? Evidence From a Natural Experiment","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Obesity, Physical Activity, Diet","field":"Medicine","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; Possession (linguistics); Human capital; Investment (military); Natural experiment; Consumption (sociology); Turkish; Economics; Demographic economics; Instrumental variable; Estimation; Environmental health; Economic growth; Econometrics; Medicine; Political science","score_opus":0.12341335990192814,"score_gpt":0.43707970405022667,"score_spread":0.3136663441482985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010208548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992739,0.0003528629,0.0011916582,0.0006252008,0.00012451793,0.00057759706,0.00082299724,0.00003471705,0.0035313778],"genre_scores_gemma":[0.99026334,0.0003746335,0.0025631944,0.0010100587,0.00006238677,0.0013574397,0.00048402042,0.000011952128,0.0038730437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983771,0.001020549,0.00006901613,0.00031007317,0.000088583394,0.000134751],"domain_scores_gemma":[0.9917412,0.0049493858,0.0017467964,0.00091325265,0.00015797078,0.0004915253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004010733,0.00045103987,0.00052321237,0.0001914229,0.0005989048,0.00074988505,0.0004923738,0.0011195696,0.010056697],"category_scores_gemma":[0.0059287474,0.0002927484,0.0006340345,0.00022380141,0.0011104199,0.00041146943,0.0004655593,0.0010203283,0.000986059],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.24111384,0.22153774,0.331344,0.0031975494,0.0053176917,0.0018900082,0.0032891582,0.004197097,0.04827424,0.0165608,0.016497558,0.10678034],"study_design_scores_gemma":[0.03358167,0.17257066,0.7096413,0.00039119142,0.004492523,0.00055734935,0.0017350002,0.009403407,0.014919892,0.02261303,0.029879581,0.00021437074],"about_ca_topic_score_codex":0.0018718819,"about_ca_topic_score_gemma":0.0018265785,"teacher_disagreement_score":0.010056697,"about_ca_system_score_codex":0.00033190424,"about_ca_system_score_gemma":0.0005497566,"threshold_uncertainty_score":0.033643007},"labels":[],"label_agreement":null},{"id":"W3010330521","doi":"10.5430/rwe.v11n1p78","title":"Financial Development and the Quality of the Environment in Nigeria: An Application of Non-Linear ARLD Approach","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, Economic Growth","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":"Business; Quality (philosophy); Government (linguistics); Finance; Sustainability; Environmental quality; Economics; Granger causality; Natural resource economics","score_opus":0.08886739055538667,"score_gpt":0.2885460566223409,"score_spread":0.19967866606695422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010330521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381853,0.0023228023,0.04758753,0.002115672,0.000112502465,0.00011705369,0.0008235516,0.00010829321,0.008627246],"genre_scores_gemma":[0.9947842,0.0007314735,0.0027522417,0.000038420687,0.000033352022,0.00003951185,0.00022272002,0.0000066228954,0.0013914726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986829,0.00069588894,0.00007810811,0.00017680082,0.0001570708,0.00020919908],"domain_scores_gemma":[0.99401844,0.004506252,0.0007716335,0.00014383293,0.00034533718,0.0002145939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021327832,0.0005421232,0.00061931374,0.0022318976,0.000599509,0.0019154459,0.00064337224,0.0007641274,0.0030742574],"category_scores_gemma":[0.0045979647,0.00026601562,0.0010306102,0.0016132126,0.0008122207,0.0011870803,0.001410957,0.0015439125,0.00026304112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036897915,0.0007210523,0.7568432,0.00038011212,0.0007796609,0.002558212,0.0015287767,0.10939228,0.00093474,0.046022244,0.001745495,0.07872515],"study_design_scores_gemma":[0.00004507127,0.0005250251,0.18761982,0.00017146596,0.0003629003,0.0003311949,0.003809446,0.7774277,0.0011518416,0.02287133,0.0055840635,0.00010020366],"about_ca_topic_score_codex":0.023624077,"about_ca_topic_score_gemma":0.01473874,"teacher_disagreement_score":0.023624077,"about_ca_system_score_codex":0.00149412,"about_ca_system_score_gemma":0.0017622338,"threshold_uncertainty_score":0.04697311},"labels":[],"label_agreement":null},{"id":"W3010756283","doi":"10.5430/rwe.v11n1p171","title":"Potato Trading Based on Structure Conduct Performance (SCP) in the Centre of Vegetable Production at Central Java Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture and Agroindustry Studies","field":"Agricultural and Biological 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":"Business; Production (economics); Cash; Java; Margin (machine learning); Payment; Snowball sampling; Index (typography); Agricultural economics; Agricultural science; Commerce; Economics; Finance; Microeconomics","score_opus":0.09935623860831937,"score_gpt":0.27288423254572297,"score_spread":0.1735279939374036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010756283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992787,0.000018156747,0.00004243472,0.000010794915,4.5380202e-7,0.000003295043,0.00005168012,0.0000014794542,0.0005929562],"genre_scores_gemma":[0.9994918,0.00001693274,0.00009285463,0.000004546403,8.6078524e-7,0.000002427953,0.00005882043,9.0649513e-7,0.0003309153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997731,0.000031523305,0.00001886647,0.000054421336,0.000059629747,0.00006250592],"domain_scores_gemma":[0.99941456,0.00008148802,0.00027991843,0.000023561302,0.00007373437,0.00012670293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025437702,0.00013873492,0.00013953226,0.0006650251,0.00040278689,0.0008522487,0.0002563442,0.0001544766,0.0013424143],"category_scores_gemma":[0.00050843676,0.00010662939,0.00012498007,0.0010044484,0.0003462833,0.00040372065,0.0004342261,0.00016739237,0.00015662053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059828883,0.00006915152,0.9854996,0.000026921456,0.000014567258,0.0005433989,0.002791464,0.00010789913,0.002879877,0.00011694839,0.0001563306,0.0077339644],"study_design_scores_gemma":[0.0000013178391,0.000034859935,0.99562585,0.000003483317,0.000004667256,0.0001699765,0.003375543,0.00027034915,0.00019211788,0.000032831405,0.0002856739,0.0000033073902],"about_ca_topic_score_codex":0.015891934,"about_ca_topic_score_gemma":0.041567843,"teacher_disagreement_score":0.015891934,"about_ca_system_score_codex":0.0007273742,"about_ca_system_score_gemma":0.00058372004,"threshold_uncertainty_score":0.031598866},"labels":[],"label_agreement":null},{"id":"W3010999995","doi":"10.5430/rwe.v11n1p212","title":"Research Opportunities to Improve the Competitiveness by Using Network Project Teams","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Technological Systems Analysis","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":"Relevance (law); Process (computing); Computer science; Aerospace; Process management; Project team; Knowledge management; Project management; Work (physics); Resource (disambiguation); Business; Engineering management; Systems engineering; Engineering","score_opus":0.28991885658535155,"score_gpt":0.3693636092679608,"score_spread":0.07944475268260925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010999995","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":[0.27586958,0.023679204,0.356493,0.032027405,0.0024296313,0.00088194397,0.00011784698,0.00029129963,0.30821007],"genre_scores_gemma":[0.833711,0.016195975,0.124271944,0.0014347573,0.000941558,0.0010421352,0.00017319858,0.000095864765,0.022133531],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99272317,0.0051541664,0.00015849815,0.00046970634,0.0009287702,0.00056578027],"domain_scores_gemma":[0.9937051,0.0029921546,0.00062923745,0.0005110573,0.0011603287,0.0010020838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008746719,0.0004294851,0.0002934218,0.0013843997,0.0014589367,0.0045105056,0.0012169408,0.0010385988,0.0055521224],"category_scores_gemma":[0.009498957,0.00016695926,0.000418953,0.0018627535,0.0013514832,0.005184649,0.0022062452,0.00081406947,0.0011909583],"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":[0.0002477827,0.0009167562,0.01120275,0.0011272575,0.000091693684,0.00034330838,0.0045739478,0.007273642,0.0014984665,0.40867585,0.009899386,0.55414915],"study_design_scores_gemma":[0.00036145715,0.0025219042,0.013282136,0.0019344188,0.00016855213,0.0009243799,0.025521936,0.024633177,0.0054665473,0.383023,0.542061,0.00010160298],"about_ca_topic_score_codex":0.0006699095,"about_ca_topic_score_gemma":0.0006258368,"teacher_disagreement_score":0.008746719,"about_ca_system_score_codex":0.0010396354,"about_ca_system_score_gemma":0.0036806853,"threshold_uncertainty_score":0.046257615},"labels":[],"label_agreement":null},{"id":"W3011197035","doi":"10.5430/rwe.v11n1p202","title":"Critical Factors of Total Logistics Cost: A Survey of Vietnam-Based Logistics Service Providers","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Quality and Supply 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":"Business; Commodity; Vietnamese; General partnership; International trade; Order (exchange); Product (mathematics); Competition (biology); Value (mathematics); Service (business); Competitive advantage; European union; Industrial organization; International economics; Economics; Marketing; Finance","score_opus":0.2837502168314754,"score_gpt":0.3820262401809081,"score_spread":0.0982760233494327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011197035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794606,0.004036113,0.0004700251,0.0034673444,0.00006188376,0.0001049816,0.002591797,0.000012293782,0.009794918],"genre_scores_gemma":[0.9884625,0.0057849432,0.0004777688,0.0005622635,0.000034612225,0.000054299802,0.0016940475,0.000014899544,0.0029146266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991265,0.00016092566,0.000104433086,0.00006352177,0.0003494798,0.00019514],"domain_scores_gemma":[0.9945135,0.0009036125,0.0016713527,0.000068987465,0.0019193519,0.0009231133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012343522,0.00020895062,0.00020608306,0.001727504,0.00080342265,0.000990944,0.00047594775,0.00030740935,0.005120917],"category_scores_gemma":[0.0046779844,0.00022518006,0.00044901937,0.0031789565,0.00034127227,0.0010888729,0.0006220586,0.0007170574,0.00062554044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073476025,0.00010785712,0.95813644,0.0003941515,0.000050554794,0.00036732707,0.0031692113,0.00017228715,0.00019276192,0.0006135122,0.007818578,0.028903743],"study_design_scores_gemma":[0.000006215296,0.00010311791,0.9450396,0.00042707677,0.000043007385,0.0009057263,0.028463911,0.0004910116,0.00014326556,0.00017142115,0.024180397,0.00002518691],"about_ca_topic_score_codex":0.03167977,"about_ca_topic_score_gemma":0.026042651,"teacher_disagreement_score":0.03167977,"about_ca_system_score_codex":0.0018732223,"about_ca_system_score_gemma":0.003214618,"threshold_uncertainty_score":0.062990785},"labels":[],"label_agreement":null},{"id":"W3011415729","doi":"10.5430/rwe.v11n1p180","title":"Syrian Refugees in Jordan: Burden or Boon","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration, Health and Trauma","field":"Psychology","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":"Refugee; Syrian refugees; Palestinian refugees; Patriotism; Unemployment; Socioeconomics; Demographic economics; Psychology; Geography; Development economics; Economic growth; Political science; Sociology; Economics; Politics","score_opus":0.1468427522649692,"score_gpt":0.44647623084080684,"score_spread":0.29963347857583766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011415729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792964,0.0043222094,0.000057129142,0.00982734,0.00015986305,0.00002064724,0.00011957898,0.0000050690583,0.0061917426],"genre_scores_gemma":[0.9902333,0.005711611,0.00008960184,0.001730744,0.00009890015,0.000017243745,0.00010005078,0.0000040779914,0.002014427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939525,0.00021771497,0.000045108427,0.000034736564,0.0001116702,0.00019547583],"domain_scores_gemma":[0.998955,0.000107150336,0.00035529857,0.000028731072,0.00019821642,0.0003555942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011469147,0.00028477877,0.00034108054,0.0008221493,0.0021422512,0.0019061101,0.00037035678,0.00064614415,0.0071665063],"category_scores_gemma":[0.002859328,0.00018146308,0.00021198438,0.0011605981,0.0015055198,0.0017469275,0.0020913382,0.0007600044,0.00054953917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017940685,0.00021844923,0.7888864,0.0005027692,0.000056762958,0.0024675326,0.104693525,0.000070614624,0.0008374925,0.002168031,0.01411445,0.085804574],"study_design_scores_gemma":[0.000009908059,0.00011470681,0.45368984,0.00064165913,0.000017048034,0.0011146712,0.5259977,0.000072007744,0.000101863785,0.00045022785,0.017769007,0.00002146293],"about_ca_topic_score_codex":0.009549233,"about_ca_topic_score_gemma":0.028513618,"teacher_disagreement_score":0.009549233,"about_ca_system_score_codex":0.0010592651,"about_ca_system_score_gemma":0.0025161158,"threshold_uncertainty_score":0.023974359},"labels":[],"label_agreement":null},{"id":"W3011722979","doi":"10.5430/rwe.v11n1p143","title":"Corporate Environmental Disclosure Practices in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh","keywords":"Business; Sustainability; Corporate governance; Accounting; Sustainability reporting; Corporate sustainability; Finance","score_opus":0.20896058003513515,"score_gpt":0.35409330260038036,"score_spread":0.1451327225652452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011722979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873771,0.00081779365,0.00022490935,0.0027182675,0.00003146716,0.000022803268,0.000051156043,0.0000046950518,0.008751885],"genre_scores_gemma":[0.9974916,0.00040457258,0.000096365635,0.00021299896,0.000007980543,0.00000524984,0.000024307468,0.0000016751915,0.0017552468],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9958332,0.0022122175,0.0003060086,0.00031669758,0.00086383725,0.00046803418],"domain_scores_gemma":[0.9857145,0.0058755153,0.004511509,0.00077329215,0.0020986511,0.001026469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004745301,0.000092178736,0.000121009936,0.0007665035,0.0023497147,0.0028437532,0.0003599677,0.0004906036,0.0014996884],"category_scores_gemma":[0.012354856,0.00014768235,0.00006712092,0.0015801311,0.0015314238,0.0015759682,0.0014752637,0.00062944955,0.00007986348],"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":[0.000079230515,0.000121840494,0.35009602,0.00033151757,0.000024143534,0.0036502788,0.52146214,0.00040684926,0.0022119675,0.021201601,0.0051717954,0.09524259],"study_design_scores_gemma":[0.000009284213,0.00014307261,0.17459975,0.0004276352,0.000015471158,0.0018581351,0.6987502,0.00086603814,0.002350041,0.0019479125,0.11897653,0.000055901815],"about_ca_topic_score_codex":0.0270627,"about_ca_topic_score_gemma":0.02517863,"teacher_disagreement_score":0.0270627,"about_ca_system_score_codex":0.003476889,"about_ca_system_score_gemma":0.004076682,"threshold_uncertainty_score":0.053810358},"labels":[],"label_agreement":null},{"id":"W3011894454","doi":"10.5430/rwe.v11n1p161","title":"Impact of Corporate Governance on Corporate Value: Research in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Corporate governance; Enterprise value; Leverage (statistics); Accounting; Business; Value (mathematics); Independence (probability theory); Stock exchange; Empirical research; Finance; Statistics; Mathematics","score_opus":0.23774038363808148,"score_gpt":0.3629456431026887,"score_spread":0.1252052594646072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011894454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919397,0.0014026723,0.00009574616,0.00034655325,0.0000073879614,0.000007664701,0.00005758595,7.314682e-7,0.006141983],"genre_scores_gemma":[0.9988618,0.00062144856,0.000033396944,0.000026353277,0.000005441933,0.0000015278245,0.000035432156,7.02695e-7,0.00041387609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945444,0.00022872411,0.000026338275,0.00006406568,0.00011060143,0.0001158292],"domain_scores_gemma":[0.99597955,0.0015438569,0.0013535407,0.00011654521,0.0005894652,0.0004169702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095197035,0.00009837237,0.00013455942,0.0006324409,0.00038451343,0.0013289916,0.00017581765,0.00015658574,0.0012664795],"category_scores_gemma":[0.0026702376,0.00008404243,0.00011503677,0.0014243196,0.0006847196,0.0008585251,0.0004082474,0.00034984027,0.000063549334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004595419,0.00015535165,0.9498143,0.00015656532,0.000060282495,0.0005924767,0.0081746895,0.0006250492,0.00035582876,0.0054178396,0.0007657981,0.03383579],"study_design_scores_gemma":[0.0000045673473,0.000119380114,0.9755554,0.00018143895,0.000029791026,0.0001570415,0.015355654,0.0008288448,0.0003539427,0.0006827254,0.006723789,0.0000073302767],"about_ca_topic_score_codex":0.028897416,"about_ca_topic_score_gemma":0.036634047,"teacher_disagreement_score":0.028897416,"about_ca_system_score_codex":0.001702656,"about_ca_system_score_gemma":0.0013683009,"threshold_uncertainty_score":0.0574584},"labels":[],"label_agreement":null},{"id":"W3012258891","doi":"10.5430/rwe.v11n1p195","title":"The Relationship Between Government Expenditures on Education and Economic Growth: The Case of Azerbaijan","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","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":"Cointegration; Economics; Government (linguistics); Order (exchange); Investment (military); Government expenditure; Population; Gross fixed capital formation; Macroeconomics; Development economics; Economic growth; Gross domestic product; Econometrics; Finance; Public finance; Political science","score_opus":0.15795661972261438,"score_gpt":0.3390302277372666,"score_spread":0.18107360801465222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012258891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957476,0.0009008573,0.00009418866,0.0005308139,0.000009934856,0.0000026764405,0.00009212434,0.0000032468492,0.0026184],"genre_scores_gemma":[0.99869734,0.00068172516,0.00006124121,0.000017485532,0.000007561108,0.000001757297,0.00008889969,7.4839414e-7,0.0004432237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997619,0.000053667936,0.000009701353,0.0000275754,0.000023504439,0.00012372283],"domain_scores_gemma":[0.99959046,0.00014508294,0.00013255978,0.000015682534,0.00005240089,0.00006388513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038676662,0.0001876859,0.0002925168,0.0010957803,0.00052746484,0.0012859771,0.0003038438,0.0003344348,0.0012271573],"category_scores_gemma":[0.0009744838,0.00009952273,0.0004159517,0.0016907139,0.0005345362,0.0006937598,0.0008314644,0.0007261245,0.000122045814],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019450435,0.00019978586,0.94275206,0.00009880134,0.00021007341,0.0049182973,0.0020117306,0.012894343,0.0010303134,0.017903248,0.0011994122,0.016587466],"study_design_scores_gemma":[0.000026822167,0.00008744829,0.9663873,0.00009037955,0.00027532905,0.00049669284,0.008227046,0.014447089,0.0008642005,0.0032614183,0.005809634,0.000026649093],"about_ca_topic_score_codex":0.16667257,"about_ca_topic_score_gemma":0.15696092,"teacher_disagreement_score":0.16667257,"about_ca_system_score_codex":0.0019799154,"about_ca_system_score_gemma":0.0017053027,"threshold_uncertainty_score":0.33140486},"labels":[],"label_agreement":null},{"id":"W3012544121","doi":"10.5430/rwe.v11n1p153","title":"The Impact of Joint Audit on Fraud Detection in Financial Statements From the Point of View of Auditors","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Audit; Accounting; Business; Joint (building); Financial Audit; Point (geometry); Joint audit; Order (exchange); Walk-through test; Finance; Actuarial science; Internal audit; Engineering","score_opus":0.04846780852889145,"score_gpt":0.3191059642342524,"score_spread":0.270638155705361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012544121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98418796,0.0008850133,0.001251635,0.0015555355,0.000056158195,0.0000766324,0.000064450986,0.000025715877,0.011896749],"genre_scores_gemma":[0.99895096,0.00013267838,0.0003878742,0.000072514595,0.00001830135,0.0000068833265,0.000019598194,0.00000230168,0.00040885134],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9539779,0.025248526,0.0027683626,0.0014527,0.013012373,0.0035400942],"domain_scores_gemma":[0.73442554,0.1195249,0.0841167,0.010403506,0.042167205,0.009362089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019783285,0.00032255056,0.0004731739,0.0031282771,0.001576483,0.00410078,0.00053363584,0.00087261904,0.0027086458],"category_scores_gemma":[0.120724574,0.00023538795,0.0005809795,0.002020873,0.0018090087,0.002504628,0.0032969601,0.0016278443,0.00036360638],"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":[0.000696919,0.0006922365,0.8414988,0.00022578334,0.00020940237,0.0006665022,0.0037874265,0.002195263,0.0016356058,0.0035593868,0.0012817992,0.14355077],"study_design_scores_gemma":[0.000021594587,0.00075546786,0.97853106,0.00022096289,0.00017429898,0.0007743589,0.0083200475,0.003201976,0.002087157,0.0017991511,0.004050698,0.00006321275],"about_ca_topic_score_codex":0.0062192352,"about_ca_topic_score_gemma":0.006121951,"teacher_disagreement_score":0.019783285,"about_ca_system_score_codex":0.0025038014,"about_ca_system_score_gemma":0.0043843407,"threshold_uncertainty_score":0.104625285},"labels":[],"label_agreement":null},{"id":"W3013227424","doi":"10.5430/rwe.v11n1p220","title":"Demand for Money Function in Case of Philippines: An Empirical Analysis","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Economics; GDP deflator; Cointegration; Broad money; Granger causality; Monetary policy; Real gross domestic product; Interest rate; Econometrics; Monetary economics; Demand curve; Order (exchange); Macroeconomics; Finance; Microeconomics","score_opus":0.34413362185040725,"score_gpt":0.39087991691181073,"score_spread":0.04674629506140349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013227424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953826,0.00037396286,0.00039188412,0.0002710469,0.000006890168,0.000032114473,0.0007075764,0.000021866193,0.0028119285],"genre_scores_gemma":[0.99721485,0.00033561845,0.00017619864,0.00002803384,0.000029617147,0.00002751832,0.0008682032,0.000011855974,0.0013081465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939215,0.00018188194,0.00004905853,0.000100702666,0.00012805687,0.00014814746],"domain_scores_gemma":[0.99356836,0.0033642717,0.0013403862,0.00023641493,0.0008815115,0.000608944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014314014,0.00056914735,0.00045194046,0.0028344318,0.0004994639,0.0014837501,0.0008949328,0.00072352105,0.008124413],"category_scores_gemma":[0.0052165934,0.000292291,0.0006139495,0.0033884642,0.00057606597,0.0010600291,0.00083083,0.0015155944,0.0012748337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001670223,0.0005292062,0.9605731,0.00024547224,0.00019162902,0.003397885,0.0053195655,0.004406799,0.00046911364,0.0018321722,0.0046496256,0.018218463],"study_design_scores_gemma":[0.000015785905,0.00017791928,0.9538988,0.00009340097,0.000090855305,0.000706089,0.007965717,0.031526092,0.00031986678,0.0005542896,0.0046061054,0.00004504815],"about_ca_topic_score_codex":0.029370626,"about_ca_topic_score_gemma":0.013616909,"teacher_disagreement_score":0.029370626,"about_ca_system_score_codex":0.0011591237,"about_ca_system_score_gemma":0.000605342,"threshold_uncertainty_score":0.05839938},"labels":[],"label_agreement":null},{"id":"W3013415446","doi":"10.5430/rwe.v11n1p229","title":"Small and Medium Entrepreneurship in Saudi Arabia's Vision 2030 and Its Role in Reducing Unemployment in the Kingdom of Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Socioeconomic Development in MENA","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":"Entrepreneurship; Unemployment; Qualitative property; Demographic economics; Business; Economic growth; Population; Labour economics; Economics; Marketing; Sociology","score_opus":0.12402938268344765,"score_gpt":0.36608251181717827,"score_spread":0.24205312913373062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013415446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887239,0.0018251078,0.00006680424,0.002645625,0.000038832797,0.00001094208,0.000028404667,0.0000019081624,0.0066586053],"genre_scores_gemma":[0.99861217,0.0005634479,0.000063774845,0.00016236394,0.0000051243715,0.0000024801332,0.000008704364,5.0452405e-7,0.0005814318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996846,0.000118582735,0.000019055744,0.000014089388,0.000058277936,0.00010541757],"domain_scores_gemma":[0.9994529,0.0000443997,0.00012258087,0.0000089473,0.00010090182,0.00027023518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088821317,0.00012764399,0.00008430129,0.00037013352,0.0013049783,0.0012804595,0.00019098191,0.00027575615,0.0010897559],"category_scores_gemma":[0.00077747967,0.00005626545,0.000113570684,0.00026381016,0.00049445947,0.00046582764,0.0010343095,0.00033507368,0.000122043486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042172297,0.00046686485,0.6308468,0.0007395662,0.00008036022,0.0017445924,0.09971583,0.0004034576,0.005450271,0.015762856,0.007471701,0.23689596],"study_design_scores_gemma":[0.000015782984,0.00026536934,0.7690961,0.0005638544,0.00003853227,0.0005849841,0.18075584,0.00045885172,0.00073136576,0.0011248846,0.046337914,0.000026553982],"about_ca_topic_score_codex":0.02827697,"about_ca_topic_score_gemma":0.062421992,"teacher_disagreement_score":0.02827697,"about_ca_system_score_codex":0.0015074192,"about_ca_system_score_gemma":0.0023240235,"threshold_uncertainty_score":0.056224763},"labels":[],"label_agreement":null},{"id":"W3014743184","doi":"10.5430/rwe.v11n1p259","title":"International Experience and Trends in E-Learning Development in World Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Online Learning and Analytics","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":"Bộ Giáo dục và Ðào tạo","keywords":"Scope (computer science); Order (exchange); Context (archaeology); Investment (military); Subject (documents); Economic growth; E learning; Political science; Higher education; Business; Economics; Knowledge management; Educational technology; Computer science; Geography; Finance","score_opus":0.08674129777563801,"score_gpt":0.3761571035679822,"score_spread":0.2894158057923442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014743184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77449024,0.014680507,0.0009421791,0.011121835,0.00029852305,0.000021532753,0.00076547643,0.000024816805,0.19765492],"genre_scores_gemma":[0.97233003,0.0119886445,0.00036454634,0.00046927502,0.00008250215,0.000012190044,0.00035368628,0.000013496585,0.014385688],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99959415,0.00010743066,0.00003168263,0.000050539602,0.00008120413,0.00013507271],"domain_scores_gemma":[0.99902296,0.00026724758,0.0002084622,0.00003072144,0.00018754859,0.00028306412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007984035,0.00011633482,0.00011535962,0.0012602858,0.0006907676,0.0028007524,0.00016205246,0.00032994032,0.0050033005],"category_scores_gemma":[0.0014921955,0.000066484325,0.00008335467,0.004223973,0.00076545676,0.0029898526,0.0011650876,0.00070067134,0.0003178892],"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":[0.0001957567,0.00037799758,0.30814108,0.0011448679,0.00003477158,0.0027589817,0.15965112,0.0008700949,0.0024650467,0.12523222,0.029765693,0.36936232],"study_design_scores_gemma":[0.000004652907,0.00015245903,0.20191804,0.00065225706,0.000014151205,0.0015497776,0.20901243,0.00031883438,0.0010067379,0.003265451,0.58206886,0.000036361344],"about_ca_topic_score_codex":0.005945867,"about_ca_topic_score_gemma":0.008257419,"teacher_disagreement_score":0.005945867,"about_ca_system_score_codex":0.0010896199,"about_ca_system_score_gemma":0.0008624143,"threshold_uncertainty_score":0.0167377},"labels":[],"label_agreement":null},{"id":"W3014827414","doi":"10.5430/rwe.v11n1p247","title":"Forecasting the GDP per Capita for Egypt and Saudi Arabia Using ARIMA Models","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","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":"Autoregressive integrated moving average; Per capita; Box–Jenkins; Econometrics; Time series; Gross domestic product; Economics; Statistics; Autoregressive model; Real gross domestic product; Mathematics; Economic growth; Demography","score_opus":0.5466393827830963,"score_gpt":0.3465128934099348,"score_spread":0.20012648937316152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014827414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979996,0.00028749835,0.013399504,0.0003906507,0.000035059053,0.000017761915,0.002583311,0.00018894597,0.0031013067],"genre_scores_gemma":[0.987316,0.00033264695,0.008685157,0.00001692165,0.000011489093,0.000015966121,0.0022940931,0.000012073547,0.0013156768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998241,0.000055246805,0.000013657523,0.000033621236,0.000046422447,0.00002693051],"domain_scores_gemma":[0.9994423,0.00024814493,0.00011801906,0.000034927878,0.00013817841,0.00001834636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007104997,0.00029089596,0.000257579,0.0008979748,0.00015850498,0.0007006857,0.0003216999,0.00032834813,0.001183327],"category_scores_gemma":[0.0026385214,0.000115393384,0.0005086181,0.0014529604,0.00012219055,0.0004893309,0.00025100244,0.0004359286,0.00033497787],"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":[0.00023199386,0.00008617378,0.0994732,0.00009584434,0.00017157997,0.000244826,0.00021346245,0.83774114,0.0018182641,0.00582104,0.003491818,0.050610546],"study_design_scores_gemma":[0.000010254181,0.000048297763,0.03446643,0.000014330989,0.000045658122,0.00003546626,0.00018191716,0.96078897,0.0013091579,0.0014261055,0.0016521458,0.000021299194],"about_ca_topic_score_codex":0.044566594,"about_ca_topic_score_gemma":0.032835707,"teacher_disagreement_score":0.044566594,"about_ca_system_score_codex":0.0008062226,"about_ca_system_score_gemma":0.0007621595,"threshold_uncertainty_score":0.088614404},"labels":[],"label_agreement":null},{"id":"W3026085893","doi":"10.5430/rwe.v11n2p59","title":"Effect of Mobile Commerce Interaction Characteristics on Game Advertising Effect and Game Re-purchase Intent","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology Adoption and User Behaviour","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":"Game Developer; Advertising; Order (exchange); Consistency (knowledge bases); Mobile commerce; Product (mathematics); Computer science; Business; Marketing; Game design; World Wide Web; Multimedia","score_opus":0.16221649236082558,"score_gpt":0.46940999019736424,"score_spread":0.30719349783653865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026085893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963341,0.00014384156,0.00017092706,0.000101925136,0.000011547996,0.000037801496,0.00010690081,0.000013112427,0.0030799357],"genre_scores_gemma":[0.9982229,0.000069518166,0.00033398237,0.000040056424,0.000014616394,0.00005321189,0.000111795205,0.000008943185,0.0011449603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840623,0.0006608678,0.00015163075,0.0002497252,0.00033356113,0.00019791567],"domain_scores_gemma":[0.9645971,0.026592186,0.004762122,0.00083236484,0.0011568166,0.002059438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013778683,0.00034247086,0.00038931298,0.0010702907,0.0005279573,0.0025936142,0.00040067697,0.0006835294,0.011590569],"category_scores_gemma":[0.012134772,0.0002639465,0.0011126974,0.0008184263,0.0006388896,0.0008870642,0.00069817813,0.0013091492,0.0008930626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085292535,0.00089851086,0.9900239,0.000076398544,0.00016559125,0.00018623233,0.001138258,0.00011245067,0.0005667083,0.0002767438,0.00017685711,0.005525275],"study_design_scores_gemma":[0.000020594425,0.0006712871,0.9954015,0.000033175027,0.0001796066,0.00018359532,0.0014199606,0.0010634729,0.00038556205,0.00013122993,0.000496059,0.000013962233],"about_ca_topic_score_codex":0.004447721,"about_ca_topic_score_gemma":0.0032950493,"teacher_disagreement_score":0.011590569,"about_ca_system_score_codex":0.00066211977,"about_ca_system_score_gemma":0.00080432615,"threshold_uncertainty_score":0.03877431},"labels":[],"label_agreement":null},{"id":"W3026169544","doi":"10.5430/rwe.v11n2p90","title":"An Analysis of the Differences in Overseas Buyers’ Perception on Korean Consumer Products","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Consumer Perception and Purchasing Behavior","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":"Hansung University","keywords":"Product (mathematics); Quality (philosophy); Purchasing; Marketing; Business; Perception; Product differentiation; Advertising; Country of origin; Commerce; Economics; Psychology; Microeconomics","score_opus":0.15710565347523386,"score_gpt":0.34615019381710194,"score_spread":0.18904454034186807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026169544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99953175,0.000027589567,0.000046236935,0.000011593115,0.0000017114088,0.0000029361365,0.000023160981,4.892885e-7,0.00035454758],"genre_scores_gemma":[0.9995603,0.000034695084,0.00006800811,0.000014769376,0.0000019038741,0.0000031555771,0.00005132533,9.719096e-7,0.0002648716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995746,0.00012290764,0.00005605169,0.00006005903,0.0001247357,0.000061659615],"domain_scores_gemma":[0.99739885,0.0006685511,0.0008421252,0.00018673085,0.00056494115,0.00033880246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012419791,0.00018431667,0.00014585005,0.0004184986,0.00024816833,0.00061878975,0.00015435807,0.00017417393,0.0029013183],"category_scores_gemma":[0.0022552814,0.00011251785,0.00033736858,0.0004460995,0.00022814574,0.0005432767,0.0004081112,0.00028948055,0.0002599058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024390049,0.00013274772,0.97618616,0.00006331219,0.000056503344,0.00021661434,0.0092605185,0.00004379669,0.0022070305,0.00008226286,0.0001528844,0.011354202],"study_design_scores_gemma":[0.0000044956855,0.00019321842,0.98446447,0.000010948103,0.00002420258,0.00018768315,0.014033547,0.00014327273,0.00038195128,0.000026425787,0.0005212084,0.0000085958545],"about_ca_topic_score_codex":0.002336775,"about_ca_topic_score_gemma":0.0023622517,"teacher_disagreement_score":0.0029013183,"about_ca_system_score_codex":0.00020166414,"about_ca_system_score_gemma":0.00020448916,"threshold_uncertainty_score":0.009705842},"labels":[],"label_agreement":null},{"id":"W3026334436","doi":"10.5430/rwe.v11n2p129","title":"An Empirical Study on the Default Prediction Model in Small and Medium-Sized Enterprises Using Financial Ratios","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Distress and Bankruptcy Prediction","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":"Hansung University","keywords":"Financial ratio; Debt ratio; Current ratio; Debt-to-equity ratio; Business; Equity ratio; Earnings before interest and taxes; Probability of default; Finance; Cash flow; Operating expense; Return on equity; Debt; Credit risk; Profitability index","score_opus":0.15481128515767814,"score_gpt":0.3512062762574779,"score_spread":0.19639499109979977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026334436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775225,0.00010475515,0.0012653761,0.00013035162,0.0000059206845,0.00002427897,0.00010602697,0.000010354809,0.00060068344],"genre_scores_gemma":[0.99869543,0.00007951267,0.0007557025,0.000013882558,0.000011049968,0.000016557402,0.0002630878,0.0000020118787,0.00016282019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884087,0.00042483347,0.00012956752,0.00020330132,0.00024483117,0.00015661426],"domain_scores_gemma":[0.9850234,0.010191612,0.0019186874,0.00039381484,0.0015976974,0.000874762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033571287,0.00041274104,0.00040849927,0.0017530492,0.0004449121,0.0011374517,0.0007988483,0.0005375768,0.0016753849],"category_scores_gemma":[0.0146083385,0.00018299629,0.0006662768,0.001397241,0.00041171658,0.0018347278,0.0005881119,0.0011539129,0.00027689664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054687716,0.00019254502,0.98654443,0.000022916794,0.000039129605,0.00022712459,0.0002909692,0.0018951767,0.00005643117,0.00030576362,0.0004344839,0.009936392],"study_design_scores_gemma":[0.000030888652,0.00036924673,0.8374097,0.000105450395,0.00012954365,0.0005862014,0.002928819,0.15605415,0.0004189672,0.0012327054,0.00070480077,0.000029595498],"about_ca_topic_score_codex":0.006857829,"about_ca_topic_score_gemma":0.0033700895,"teacher_disagreement_score":0.006857829,"about_ca_system_score_codex":0.00076963875,"about_ca_system_score_gemma":0.0006056654,"threshold_uncertainty_score":0.017754376},"labels":[],"label_agreement":null},{"id":"W3026361516","doi":"10.5430/rwe.v11n2p191","title":"Effects of Accounting Information Measurement on EVA According to the Company's Conservatives (Depending on How Accounting Is Handled)","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Hansung University","keywords":"Accounting information system; Accounting; Management accounting; Profitability index; Business; Sample (material); Cost accounting; Accounting management; Position (finance); Financial accounting; Financial ratio; Positive accounting; Actuarial science; Finance","score_opus":0.06676319213415341,"score_gpt":0.28196578469880174,"score_spread":0.21520259256464833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026361516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98602295,0.00039238244,0.0020134966,0.00075979624,0.000046230263,0.00008513725,0.000091441696,0.00004713228,0.010541445],"genre_scores_gemma":[0.999158,0.00003439358,0.0005269243,0.00004233861,0.000010588559,0.000017784409,0.000028967712,0.0000048546012,0.00017615431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9337564,0.03850554,0.0054245624,0.0030780681,0.01738388,0.0018515363],"domain_scores_gemma":[0.50596213,0.32187912,0.11016639,0.024409842,0.033374045,0.0042084088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03678847,0.00048142506,0.00032911755,0.0024377538,0.0013628309,0.00377252,0.0006338457,0.0005019179,0.0022294777],"category_scores_gemma":[0.20010702,0.00024439354,0.000695038,0.0022928896,0.0026413389,0.0034746854,0.0030577702,0.0016609291,0.00024949166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076124177,0.00048028346,0.8905232,0.00024739723,0.00019861,0.00015150156,0.010654197,0.0010719547,0.0023598266,0.0054869135,0.00075069943,0.087314315],"study_design_scores_gemma":[0.000016898162,0.0008115014,0.97972953,0.0001697334,0.00011194345,0.00010676434,0.010001186,0.0019176765,0.002928577,0.0017398251,0.0024142691,0.00005208675],"about_ca_topic_score_codex":0.0026317753,"about_ca_topic_score_gemma":0.002276922,"teacher_disagreement_score":0.03678847,"about_ca_system_score_codex":0.002512864,"about_ca_system_score_gemma":0.002745048,"threshold_uncertainty_score":0.19455838},"labels":[],"label_agreement":null},{"id":"W3026414543","doi":"10.5430/rwe.v11n2p70","title":"Effect of Smart Attributes of SPA on Intention to Use of Blockchain System - Based on Securities Lending of Small and Medium Construction","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Technology Adoption and User Behaviour","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":"Hansung University","keywords":"Blockchain; Usability; Intension; Personalization; Computer science; Likert scale; Reliability (semiconductor); Structural equation modeling; Function (biology); Computer security; World Wide Web; Human–computer interaction; Statistics; Machine learning; Mathematics","score_opus":0.228467925259635,"score_gpt":0.39792160568536983,"score_spread":0.16945368042573483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026414543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983645,0.00002690125,0.00014724309,0.00011385336,0.000004018335,0.000016091575,0.000018861356,0.000005246152,0.0013032064],"genre_scores_gemma":[0.9992434,0.000036302532,0.00021151395,0.000029600398,0.000003730007,0.000017510767,0.000024765055,0.0000022371046,0.0004310122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752945,0.0010908992,0.00020375811,0.0001954424,0.0006112589,0.00036934027],"domain_scores_gemma":[0.97027427,0.01436588,0.0078025935,0.0010966664,0.0026130793,0.003847529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028315224,0.00024873758,0.00022408154,0.00065801194,0.0005764156,0.001642829,0.0002611811,0.0005842692,0.0053133215],"category_scores_gemma":[0.016661853,0.00021953728,0.00063597265,0.00038798142,0.00086604414,0.0010270346,0.00081662403,0.0011761793,0.00053102936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026935464,0.0011951099,0.96523815,0.00013149552,0.00007855378,0.00023099473,0.012069918,0.00037835905,0.0015263291,0.00053766434,0.00047826947,0.017865812],"study_design_scores_gemma":[0.000014932585,0.000617416,0.9828655,0.00005681806,0.00005031123,0.00010342607,0.012418984,0.0019261352,0.0004296106,0.0002726258,0.001215476,0.000028691691],"about_ca_topic_score_codex":0.002124932,"about_ca_topic_score_gemma":0.002783947,"teacher_disagreement_score":0.0053133215,"about_ca_system_score_codex":0.00069262355,"about_ca_system_score_gemma":0.0010987254,"threshold_uncertainty_score":0.01777476},"labels":[],"label_agreement":null},{"id":"W3026645248","doi":"10.5430/rwe.v11n2p152","title":"The Impact of Awareness of New Artificial Intelligence Technologies on Policy Governance on Risk","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","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":"Government (linguistics); Corporate governance; Agency (philosophy); Exploratory factor analysis; Descriptive statistics; Emerging technologies; Knowledge management; Business; Public relations; Computer science; Political science; Marketing; Artificial intelligence; Sociology; Social science; Finance; Statistics","score_opus":0.4293106863526894,"score_gpt":0.5159917889314459,"score_spread":0.08668110257875655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026645248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90182173,0.0008552255,0.0060399817,0.009652982,0.00007241974,0.00012967852,0.00008883398,0.000026842901,0.08131227],"genre_scores_gemma":[0.99880075,0.00019592226,0.00042648317,0.00017691328,0.000018499368,0.000016088661,0.000012548852,0.0000025322981,0.00035035177],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99027926,0.0051927576,0.0007104108,0.0006078723,0.0022654065,0.0009442706],"domain_scores_gemma":[0.8791436,0.068679854,0.03431944,0.003210663,0.009516737,0.0051296665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00900902,0.00017845242,0.00015690828,0.0011202066,0.0010217885,0.0038910192,0.00036585898,0.0008890964,0.0035376996],"category_scores_gemma":[0.04479252,0.00017521784,0.0003666154,0.00092744414,0.0025066468,0.0031769716,0.0020287114,0.0020188072,0.00020694727],"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":[0.0002127215,0.0009942156,0.8027251,0.0005253568,0.00019664447,0.00074084353,0.02539417,0.0040369974,0.0015052421,0.066371694,0.003351164,0.093945906],"study_design_scores_gemma":[0.000035367793,0.00046232852,0.8716328,0.00083713245,0.00027132937,0.00055119675,0.04173003,0.007705663,0.0027804628,0.041780293,0.032099582,0.00011388992],"about_ca_topic_score_codex":0.0016949485,"about_ca_topic_score_gemma":0.0016769264,"teacher_disagreement_score":0.00900902,"about_ca_system_score_codex":0.0036881506,"about_ca_system_score_gemma":0.004408723,"threshold_uncertainty_score":0.047644794},"labels":[],"label_agreement":null},{"id":"W3026657308","doi":"10.5430/rwe.v11n2p105","title":"The Effects of Entrepreneurship and Entrepreneurial Intention on Expected Outcomes of Startup: Moderated Mediation Effect of Growth Mindset","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Entrepreneurship Studies and Influences","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":"Mindset; Moderated mediation; Entrepreneurship; Mediation; Moderation; Psychology; Regression analysis; Outcome (game theory); Marketing; Social psychology; Business; Economics; Statistics; Microeconomics; Political science; Computer science","score_opus":0.03252601129687953,"score_gpt":0.28691743640897194,"score_spread":0.2543914251120924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026657308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646425,0.00018087136,0.00048217227,0.00028290026,0.000016826272,0.000032169977,0.000048591297,0.000005690878,0.0024864203],"genre_scores_gemma":[0.99920386,0.00009734394,0.00031261184,0.00003213447,0.000005907827,0.000024418257,0.000033030814,0.0000016620162,0.0002889398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987962,0.00057731033,0.00006158511,0.00016963831,0.00015825623,0.00023702261],"domain_scores_gemma":[0.99114406,0.0049413186,0.0016404337,0.00047994062,0.00047401022,0.0013202529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022755978,0.00052825856,0.00035039586,0.00060372666,0.0006241365,0.0011755644,0.0004415094,0.00038305437,0.005788289],"category_scores_gemma":[0.007784793,0.00026054116,0.0007249982,0.000366581,0.00077846163,0.0007091218,0.0019830652,0.0013044272,0.00015211554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037706568,0.001102831,0.96735114,0.00016219,0.00040145323,0.00039747375,0.0036691297,0.00024098395,0.0011681485,0.00236075,0.00024448376,0.02252434],"study_design_scores_gemma":[0.000026170379,0.00026643884,0.9939313,0.000094720985,0.00024965891,0.000095475276,0.002193293,0.000781437,0.0005221328,0.0013532612,0.00047466255,0.000011423652],"about_ca_topic_score_codex":0.002114198,"about_ca_topic_score_gemma":0.003949404,"teacher_disagreement_score":0.005788289,"about_ca_system_score_codex":0.0004958683,"about_ca_system_score_gemma":0.0015911327,"threshold_uncertainty_score":0.019363761},"labels":[],"label_agreement":null},{"id":"W3026714695","doi":"10.5430/rwe.v11n2p122","title":"Analysis on the Characteristics of Tourism Flow of Chinese Independent Tourists in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Aspects of Tourism Research","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":"Sehan University","keywords":"Betweenness centrality; Tourism; China; Business; Ho chi minh; Centrality; Geography; Marketing; Statistics; Cartography; Mathematics","score_opus":0.06687422761503449,"score_gpt":0.3747994346023796,"score_spread":0.3079252069873451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026714695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827445,0.000043948512,0.00008342532,0.000043821245,0.0000028350637,0.000011111585,0.00058429496,0.000002297541,0.0009538276],"genre_scores_gemma":[0.9980798,0.000074788644,0.00012161179,0.0000114311215,0.0000028200857,0.00001650801,0.00079154497,0.0000017029357,0.0008997754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987125,0.000019672767,0.000013547524,0.00002683167,0.000030222429,0.00003840001],"domain_scores_gemma":[0.99928635,0.000113463444,0.00017751097,0.000025825908,0.00019763557,0.00019926716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019384184,0.00013591601,0.000105274055,0.0010771557,0.00042233875,0.00044754872,0.00018161818,0.0001060245,0.0019268391],"category_scores_gemma":[0.0007861606,0.00006656502,0.00020455194,0.001480069,0.00016414632,0.0002948115,0.00027147797,0.00018084452,0.0001547793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003090067,0.00002616011,0.9895348,0.000042827505,0.00002824038,0.00018116857,0.0021303485,0.00025397565,0.00029216113,0.00012808583,0.00060877996,0.006742492],"study_design_scores_gemma":[0.0000011438054,0.000029263565,0.991235,0.000012972718,0.000010829823,0.000086176165,0.0066766436,0.0009002331,0.00007976433,0.000035831665,0.0009259873,0.000006194721],"about_ca_topic_score_codex":0.08280138,"about_ca_topic_score_gemma":0.08804098,"teacher_disagreement_score":0.08280138,"about_ca_system_score_codex":0.0007974204,"about_ca_system_score_gemma":0.000845751,"threshold_uncertainty_score":0.16463882},"labels":[],"label_agreement":null},{"id":"W3026844776","doi":"10.5430/rwe.v11n2p36","title":"Analysis of Usage Factors of Restaurant Customers in Traditional Markets","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Nutrition, Health and Food Behavior","field":"Nursing","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":"Gwangju University","keywords":"Marketing; Business; Order (exchange); Product (mathematics); Analytic hierarchy process; Market share; Service (business); Preference; Economics; Microeconomics","score_opus":0.21194099396403301,"score_gpt":0.39694210876695,"score_spread":0.185001114802917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026844776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985306,0.000037688365,0.00035944852,0.000027926828,0.0000013796787,0.000021261358,0.000083469655,0.0000042583097,0.00093383965],"genre_scores_gemma":[0.99928755,0.00003487887,0.00038849845,0.000008929053,0.000001934614,0.000020101603,0.00011293643,0.0000018714725,0.00014339543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991171,0.00025913637,0.00007987616,0.00008105699,0.00032383646,0.00013900473],"domain_scores_gemma":[0.9954704,0.001940549,0.00075060065,0.00011242459,0.0013759995,0.00035005328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012061341,0.00031086826,0.0002447027,0.001287636,0.00042003614,0.0009208048,0.00024564547,0.00029324894,0.0030859988],"category_scores_gemma":[0.0046341456,0.00011624654,0.0005492035,0.0016241318,0.00030330635,0.00056974415,0.00043829367,0.00032614774,0.00030197678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015355319,0.00012782049,0.9784127,0.00010572636,0.000050053215,0.000116617186,0.003160548,0.00025574985,0.0009726208,0.00015285262,0.00022424766,0.0162674],"study_design_scores_gemma":[0.000005551448,0.00029360593,0.98596984,0.000027399605,0.000045030647,0.00016637104,0.009688982,0.0023958571,0.000619522,0.00012171014,0.00064999354,0.000016064107],"about_ca_topic_score_codex":0.005088629,"about_ca_topic_score_gemma":0.004746693,"teacher_disagreement_score":0.005088629,"about_ca_system_score_codex":0.00073774415,"about_ca_system_score_gemma":0.00067427533,"threshold_uncertainty_score":0.010323703},"labels":[],"label_agreement":null},{"id":"W3026844958","doi":"10.5430/rwe.v11n2p98","title":"The Effects of Obstructive Factors and Rewards Related to Technological Innovation on Management Performance: Focusing on Chinese Companies","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Organizational Leadership and Management Strategies","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":"Structural equation modeling; Computer science; Knowledge management; Marketing; Business; Machine learning","score_opus":0.0441171947504258,"score_gpt":0.2909109806869688,"score_spread":0.246793785936543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026844958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987709,0.00006463713,0.00006704853,0.00006211653,0.0000017846202,0.0000061083765,0.0000076189517,0.0000010505047,0.0010186693],"genre_scores_gemma":[0.999746,0.000042772197,0.00004869153,0.000008357249,0.000002852017,0.0000035454175,0.000008718104,4.1184057e-7,0.00013860888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990376,0.00021959851,0.00006170248,0.00011476851,0.00032337403,0.00024304837],"domain_scores_gemma":[0.99394035,0.002343473,0.0017166566,0.00024756856,0.000654713,0.0010972277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015060683,0.0002982091,0.0002016186,0.0008574602,0.00078028714,0.0010970681,0.00021854795,0.00030509228,0.002194404],"category_scores_gemma":[0.0036021087,0.000120773955,0.0003876599,0.00065392215,0.00081983407,0.0006150274,0.00081835495,0.0005177218,0.00011503063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008979799,0.00033574732,0.9776119,0.000085358464,0.000042200976,0.0001460362,0.0024980064,0.00034486476,0.00084195344,0.00054167025,0.0001282671,0.017334152],"study_design_scores_gemma":[0.0000033436218,0.000116623705,0.99738723,0.00001876882,0.000031706797,0.00002526652,0.0012651051,0.0005084019,0.00031262936,0.00013085085,0.00019347155,0.000006711301],"about_ca_topic_score_codex":0.008200148,"about_ca_topic_score_gemma":0.013313172,"teacher_disagreement_score":0.008200148,"about_ca_system_score_codex":0.0015067726,"about_ca_system_score_gemma":0.002762062,"threshold_uncertainty_score":0.016304791},"labels":[],"label_agreement":null},{"id":"W3027269266","doi":"10.5430/rwe.v11n2p182","title":"The Impact of Smartwork Activation on Organizational Performance - Focusing on Mediating Effects of Quality of Life and Moderating Effects of Manager’s Interest","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Work-Family Balance Challenges","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":"Hansung University","keywords":"Work–life balance; Organizational performance; Work (physics); Agency (philosophy); Business; Balance (ability); Quality (philosophy); Marketing; Public relations; Organizational structure; Operations management; Psychology; Management; Economics; Sociology; Engineering; Political science","score_opus":0.10738101265545022,"score_gpt":0.3950966140183555,"score_spread":0.2877156013629053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027269266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647,0.00023343183,0.00024207625,0.0006788283,0.000022354907,0.000031798525,0.000106894695,0.000008067822,0.0022066291],"genre_scores_gemma":[0.99930906,0.00005411027,0.00014100701,0.00006133497,0.000011142797,0.00003516311,0.000052568,0.0000031552834,0.00033241813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947753,0.002773729,0.00027314358,0.0007134274,0.00046809218,0.0009963744],"domain_scores_gemma":[0.9725193,0.012842671,0.006569496,0.0014891508,0.0011433598,0.0054360963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044248416,0.0005120043,0.00041839186,0.00069185894,0.0013625829,0.0020927317,0.0009739158,0.0007841233,0.008517221],"category_scores_gemma":[0.016311964,0.00029674254,0.0010786036,0.00053446944,0.0012196654,0.0013901944,0.0026149151,0.0016200445,0.00049058703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005543593,0.0014903363,0.9761016,0.00017111828,0.00035252178,0.00011209889,0.0048028333,0.00020577773,0.00046949746,0.00086351245,0.0005882433,0.014288098],"study_design_scores_gemma":[0.000025921336,0.000396538,0.9934307,0.00007388662,0.00017160978,0.000033024575,0.0041517275,0.00042346265,0.00026875883,0.00033557278,0.0006772653,0.0000115750745],"about_ca_topic_score_codex":0.0033510986,"about_ca_topic_score_gemma":0.0044969,"teacher_disagreement_score":0.008517221,"about_ca_system_score_codex":0.0012937081,"about_ca_system_score_gemma":0.0024419914,"threshold_uncertainty_score":0.028492987},"labels":[],"label_agreement":null},{"id":"W3027448367","doi":"10.5430/rwe.v11n2p82","title":"SNS Characteristics of Mobile Communication Company Influencing Brand Attitude and Purchase Intention","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Hansung University","keywords":"Likert scale; Psychology; Explanatory power; Regression analysis; Advertising; Brand relationship; Predictive power; Marketing; Brand awareness; Business; Statistics; Mathematics","score_opus":0.10313012182489915,"score_gpt":0.3419628098521034,"score_spread":0.23883268802720425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027448367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971944,0.00007252473,0.0001271873,0.000053511943,0.000005270154,0.000010996405,0.00003177603,0.000002129375,0.0025021904],"genre_scores_gemma":[0.99925786,0.000080065045,0.00014252013,0.000014745771,0.000008328573,0.0000060493094,0.000036229427,0.0000013658635,0.00045280153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996973,0.00008365385,0.000029432891,0.00004002934,0.00010017987,0.000049314185],"domain_scores_gemma":[0.9962213,0.0018249098,0.0010584855,0.00011294275,0.0004091586,0.000373216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046986272,0.00014633135,0.00012942938,0.00052084954,0.0002867808,0.00096958975,0.00008866118,0.00029301393,0.004803056],"category_scores_gemma":[0.003600483,0.00010361177,0.00028102886,0.0003913493,0.00023666391,0.0005068731,0.00028271438,0.0003459601,0.0003541562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074507494,0.0001703603,0.9893713,0.000043416178,0.00003471105,0.00014037345,0.00082213106,0.000116725474,0.0008792418,0.00024940434,0.0001249464,0.007972903],"study_design_scores_gemma":[0.0000028657962,0.000112255635,0.99623114,0.000026902328,0.000044580935,0.00015140911,0.0017353256,0.00070554984,0.00031286047,0.0001416151,0.0005290269,0.000006437326],"about_ca_topic_score_codex":0.0019377697,"about_ca_topic_score_gemma":0.003470768,"teacher_disagreement_score":0.004803056,"about_ca_system_score_codex":0.00024470923,"about_ca_system_score_gemma":0.0003727615,"threshold_uncertainty_score":0.016067863},"labels":[],"label_agreement":null},{"id":"W3027497457","doi":"10.5430/rwe.v11n2p165","title":"Research on the Effect of the Different Empathy Ability of Supervisor on the Turnover Intention in the Organizational Culture","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Healthcare Education and Workforce Issues","field":"Nursing","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":"Hansung University","keywords":"Empathy; Psychology; Supervisor; Regression analysis; Likert scale; Cronbach's alpha; Multilevel model; Social psychology; Organizational culture; Turnover intention; Reliability (semiconductor); Applied psychology; Statistics; Organizational commitment; Management; Clinical psychology; Mathematics; Developmental psychology; Psychometrics","score_opus":0.14560083812816113,"score_gpt":0.4291783030003116,"score_spread":0.2835774648721505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027497457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975176,0.0004047446,0.0004124428,0.00024858734,0.000019327264,0.000016166547,0.000022600323,0.0000041871276,0.0013543647],"genre_scores_gemma":[0.99926287,0.00016519139,0.00023242862,0.000053908956,0.000011325888,0.000020712203,0.00002614196,0.0000019711742,0.00022541679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997526,0.0011931508,0.00014440947,0.00027776754,0.00053342077,0.00032532192],"domain_scores_gemma":[0.9810182,0.009292305,0.005002872,0.00064755033,0.0018405415,0.002198569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030619274,0.0003843767,0.00034720494,0.00057289895,0.00059791555,0.001349586,0.00035345124,0.00039890627,0.003031763],"category_scores_gemma":[0.010475776,0.00019816682,0.00075200654,0.0003495059,0.00047212618,0.0008225294,0.0008230339,0.0011127987,0.0002018138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031064346,0.0012644033,0.9512905,0.00044117286,0.00044843537,0.00033683865,0.0075758393,0.0002495533,0.0019181885,0.0006085843,0.0004196461,0.035136137],"study_design_scores_gemma":[0.000017312022,0.00043794827,0.9917659,0.00016128941,0.00022139723,0.0001500465,0.004965646,0.00060653675,0.0008817343,0.0002730889,0.0005039826,0.000015037877],"about_ca_topic_score_codex":0.0014833658,"about_ca_topic_score_gemma":0.0024028553,"teacher_disagreement_score":0.0030619274,"about_ca_system_score_codex":0.0006969187,"about_ca_system_score_gemma":0.0015286454,"threshold_uncertainty_score":0.016193151},"labels":[],"label_agreement":null},{"id":"W3027501302","doi":"10.5430/rwe.v11n2p170","title":"Study on the Influencing Factors of Business Success Variables of Technology Startup Entrepreneurs","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Entrepreneurship Studies and Influences","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":"Hansung University","keywords":"Multicollinearity; Bootstrapping (finance); Structural equation modeling; Path analysis (statistics); Statistics; Internal consistency; Confidence interval; High tech; Variables; Mathematics; Econometrics; Marketing; Economics; Business administration; Psychology; Business; Geography; Regression analysis","score_opus":0.10507897629665376,"score_gpt":0.31310031499898844,"score_spread":0.2080213387023347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027501302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99914,0.000062352665,0.00009522755,0.000051440093,0.0000036850201,0.000011184325,0.000026871128,9.914353e-7,0.0006081311],"genre_scores_gemma":[0.99939966,0.000083164,0.00007945552,0.000013378231,0.000004796348,0.000013932031,0.00004279185,7.660958e-7,0.00036201772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924755,0.00023308497,0.00006091825,0.00009224234,0.00018012681,0.00018612419],"domain_scores_gemma":[0.99483263,0.0021076426,0.0011831545,0.00016160295,0.0005463718,0.0011684819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014571588,0.00025111687,0.000246868,0.0011895801,0.00067040225,0.0011050369,0.00024149352,0.0003179374,0.0034540487],"category_scores_gemma":[0.0051571466,0.00015587383,0.0004437378,0.00095481495,0.0003897515,0.00054368156,0.0006936378,0.00061099866,0.00028307983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020874631,0.000117789314,0.9951147,0.000011926481,0.000015211027,0.00010627565,0.00069223274,0.000033313787,0.000067120345,0.00010418014,0.00007539249,0.0036410016],"study_design_scores_gemma":[0.0000029688422,0.000086142696,0.9951029,0.000024383575,0.000023656754,0.00011858626,0.0036736066,0.00031757762,0.00011899862,0.0001184339,0.00040857532,0.000004173886],"about_ca_topic_score_codex":0.0019313451,"about_ca_topic_score_gemma":0.0027852696,"teacher_disagreement_score":0.0034540487,"about_ca_system_score_codex":0.000331791,"about_ca_system_score_gemma":0.0010677883,"threshold_uncertainty_score":0.011554956},"labels":[],"label_agreement":null},{"id":"W3027515384","doi":"10.5430/rwe.v11n2p22","title":"A Study on the Hybrid Start-up Intention by Using the Model of Goal-Directed Behavior (MGB)","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Entrepreneurship Studies and Influences","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":"Hansung University","keywords":"Mediation; Psychology; Control (management); Start up; Social psychology; Negative emotion; Applied psychology; Computer science; Artificial intelligence; Business; Business administration; Sociology","score_opus":0.2139556755409286,"score_gpt":0.3521362026152075,"score_spread":0.1381805270742789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027515384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99098456,0.00013433129,0.003968617,0.00023662123,0.000015989574,0.00013079896,0.00003987355,0.000008956046,0.0044803],"genre_scores_gemma":[0.9959521,0.00015484192,0.0028760466,0.00006962592,0.000005173017,0.00019250404,0.00006470531,0.000004033982,0.0006808408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980438,0.001351798,0.000079486934,0.00014205257,0.00025013692,0.00013274072],"domain_scores_gemma":[0.9936892,0.0046982216,0.0005523154,0.00024056507,0.00046646898,0.00035319486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004229723,0.00043418803,0.00041804658,0.00096633297,0.000692682,0.0015150006,0.0005256019,0.00060526584,0.0020853868],"category_scores_gemma":[0.005508276,0.00029918048,0.0011449384,0.0009809466,0.00074695767,0.0010451812,0.0009558321,0.0014846058,0.00027296826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002057461,0.0036113714,0.84960175,0.0004904666,0.00027314905,0.0005226624,0.057653774,0.0016771612,0.0014969553,0.01359721,0.0010613293,0.06980848],"study_design_scores_gemma":[0.00011385606,0.002928866,0.85075426,0.0008201887,0.00044618512,0.00062956946,0.0940408,0.03413665,0.001456631,0.0067826607,0.0077796527,0.000110653644],"about_ca_topic_score_codex":0.0031893356,"about_ca_topic_score_gemma":0.0032088005,"teacher_disagreement_score":0.004229723,"about_ca_system_score_codex":0.0009888955,"about_ca_system_score_gemma":0.0016184017,"threshold_uncertainty_score":0.022369206},"labels":[],"label_agreement":null},{"id":"W3027678344","doi":"10.5430/rwe.v11n2p42","title":"A Study on the Analysis of Complex Resort Use Status Through IPA","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Topics in Contemporary 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":"Gwangju University","keywords":"Reliability (semiconductor); Selection (genetic algorithm); Business; Service (business); Marketing; Computer science","score_opus":0.7529081331300841,"score_gpt":0.5343411676201582,"score_spread":0.21856696550992594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027678344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704117,0.00004172154,0.00026490618,0.000047354362,0.0000021532387,0.000014366641,0.00015600755,0.0000035123899,0.0024287747],"genre_scores_gemma":[0.9991178,0.0000679099,0.00022220299,0.000010768645,0.000003630408,0.000020083377,0.00012090568,0.0000015490004,0.00043516397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950874,0.00016301106,0.000050648036,0.00006211062,0.00011979127,0.00009571802],"domain_scores_gemma":[0.9976528,0.0007967064,0.0006992907,0.00011495401,0.0004362083,0.00029999777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005197924,0.0001287305,0.00015394049,0.0014987955,0.0005182116,0.0010462363,0.00021635996,0.00021036934,0.0033753004],"category_scores_gemma":[0.003691227,0.00009894588,0.00027311742,0.0022901795,0.0003505811,0.0009351532,0.00073724304,0.00037941078,0.00023509233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036070924,0.00005927414,0.97747064,0.0000505048,0.000014887873,0.00016724215,0.008298921,0.000043013315,0.00040046521,0.0003136921,0.00026028766,0.0128850015],"study_design_scores_gemma":[5.886369e-7,0.000047295645,0.9835411,0.000015222756,0.00001003071,0.00013445076,0.014865414,0.00025951036,0.0000658414,0.000066742985,0.0009888652,0.0000049247865],"about_ca_topic_score_codex":0.0045020366,"about_ca_topic_score_gemma":0.0069857184,"teacher_disagreement_score":0.0045020366,"about_ca_system_score_codex":0.0003597845,"about_ca_system_score_gemma":0.00045783303,"threshold_uncertainty_score":0.011291504},"labels":[],"label_agreement":null},{"id":"W3027853830","doi":"10.5430/rwe.v11n2p144","title":"A Study on Structural Relationships Between Consulting Service Quality, Management Human Capital, and Entrepreneurship","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Entrepreneurship Studies and Influences","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":"Hansung University","keywords":"Entrepreneurship; Structural equation modeling; Confirmatory factor analysis; Marketing; Quality (philosophy); Human capital; Service quality; Business; Test (biology); Descriptive statistics; Service (business); Knowledge management; Economics; Computer science; Statistics; Mathematics","score_opus":0.2983054717659388,"score_gpt":0.3954766026335016,"score_spread":0.0971711308675628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027853830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957755,0.00019905035,0.0003667561,0.00050859427,0.000010929691,0.00003219011,0.00006555488,0.00000343636,0.0030380308],"genre_scores_gemma":[0.9993426,0.000105369254,0.00022777586,0.00005873167,0.0000070963706,0.000018080633,0.000030922012,9.962564e-7,0.00020820755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821705,0.0007171544,0.00012886878,0.00023199146,0.0004252408,0.00027959666],"domain_scores_gemma":[0.9734988,0.016113589,0.005203141,0.00059548405,0.002172078,0.0024169518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035680162,0.00018978599,0.00019247252,0.0012760279,0.0008216336,0.0012850967,0.00039370038,0.00032427878,0.0047869273],"category_scores_gemma":[0.014995424,0.00018325297,0.00042937667,0.0014843965,0.00079609855,0.0015897056,0.0010057631,0.0008844226,0.00016422648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039250855,0.00043939572,0.9778772,0.000119416836,0.000053724772,0.00012482489,0.0036613639,0.00014216633,0.00011303809,0.001669577,0.00041800152,0.015342007],"study_design_scores_gemma":[0.000010307882,0.00018475817,0.9890281,0.00011419219,0.000062268795,0.000108292166,0.0075121326,0.0009929666,0.00016997152,0.00066815084,0.0011404238,0.000008525429],"about_ca_topic_score_codex":0.0055652442,"about_ca_topic_score_gemma":0.007688539,"teacher_disagreement_score":0.0055652442,"about_ca_system_score_codex":0.00175064,"about_ca_system_score_gemma":0.0041934056,"threshold_uncertainty_score":0.018869758},"labels":[],"label_agreement":null},{"id":"W3027878098","doi":"10.5430/rwe.v11n2p12","title":"A Study on the Influence of Entrepreneurial Competence Characteristics on the Sustainability of Entrepreneurs -Focused on the Mediating Effects of Entrepreneurial Mentoring","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Educational Systems and Policies","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":"Hansung University","keywords":"Sustainability; Likert scale; Competence (human resources); Exploratory factor analysis; Entrepreneurship; Descriptive statistics; Marketing; Empirical research; Psychology; Business; Knowledge management; Social psychology; Computer science","score_opus":0.0601607886145956,"score_gpt":0.3317196060842599,"score_spread":0.27155881746966426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027878098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978902,0.0001611045,0.00018478544,0.00016031183,0.0000071025443,0.00002631321,0.000013144748,0.000001500093,0.0015554604],"genre_scores_gemma":[0.99910563,0.0001776372,0.0002094112,0.000031223983,0.0000041653775,0.000019735791,0.000014502079,9.781724e-7,0.00043667605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980509,0.0011551557,0.000072657465,0.00015987927,0.00028696653,0.00027438792],"domain_scores_gemma":[0.98505265,0.008828921,0.0026693116,0.00044529254,0.0009765915,0.0020271682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003451166,0.0002773955,0.00030280533,0.0009033934,0.0009631948,0.0013941886,0.0004239868,0.00036029436,0.0032607736],"category_scores_gemma":[0.01180429,0.00019216977,0.0006327499,0.00052778394,0.00059843314,0.001193014,0.00167516,0.00090083113,0.00013163831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025849952,0.0018117809,0.92233294,0.00032687985,0.00018097086,0.0009622561,0.02384864,0.00020360922,0.0008068898,0.002015565,0.0004659877,0.046785947],"study_design_scores_gemma":[0.000038024096,0.00077216106,0.9466615,0.00046778205,0.00025539022,0.00033970826,0.045316257,0.0009084699,0.0009313925,0.0009724785,0.0033097249,0.000027139686],"about_ca_topic_score_codex":0.0029280083,"about_ca_topic_score_gemma":0.0043876846,"teacher_disagreement_score":0.003451166,"about_ca_system_score_codex":0.0010985966,"about_ca_system_score_gemma":0.0030666413,"threshold_uncertainty_score":0.018251717},"labels":[],"label_agreement":null},{"id":"W3027982072","doi":"10.5430/rwe.v11n2p1","title":"A Study on Effect of Servant Leadership and Perceived Organizational Support on Characteristics of Agile Organizational Culture","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Organizational Leadership and Management Strategies","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":"Hansung University","keywords":"Agile software development; Organizational culture; Servant leadership; Empowerment; Organizational learning; Psychology; Knowledge management; Organizational effectiveness; Organizational commitment; Management; Business; Social psychology; Public relations; Leadership style; Political science; Computer science; Economics","score_opus":0.09630623706031417,"score_gpt":0.30570810794457576,"score_spread":0.2094018708842616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027982072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99879587,0.000098212615,0.000082889506,0.00010591482,0.000008349584,0.000013932341,0.000026867074,9.532656e-7,0.00086701557],"genre_scores_gemma":[0.9993087,0.00011428591,0.0001223076,0.00005165354,0.000009558881,0.000025891664,0.0000408564,9.316649e-7,0.00032575973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983883,0.0008039855,0.00008665704,0.00012709899,0.00036058202,0.00023335184],"domain_scores_gemma":[0.9871301,0.0060639423,0.002746376,0.00031061936,0.0012875645,0.0024613438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024813735,0.000247561,0.00024757846,0.00064636435,0.0005804899,0.00094319636,0.00024983802,0.0002813495,0.0039774915],"category_scores_gemma":[0.0070564514,0.00017164812,0.00047286865,0.0005477345,0.00044876497,0.0006438795,0.00049321953,0.0008689774,0.00032305805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008536604,0.0008345628,0.9805353,0.000083993924,0.000059538175,0.00023160831,0.0064353626,0.000040368923,0.00026776153,0.00018181381,0.0002973708,0.010947036],"study_design_scores_gemma":[0.0000130668195,0.0005490848,0.9869485,0.000056736942,0.00003124667,0.00014548501,0.011069832,0.00016156517,0.00013285705,0.00007651343,0.0008082046,0.0000070181177],"about_ca_topic_score_codex":0.0020514305,"about_ca_topic_score_gemma":0.0030793282,"teacher_disagreement_score":0.0039774915,"about_ca_system_score_codex":0.0004932452,"about_ca_system_score_gemma":0.0014496421,"threshold_uncertainty_score":0.013305962},"labels":[],"label_agreement":null},{"id":"W3028146121","doi":"10.5430/rwe.v11n2p136","title":"A Study on the Effect of Workplace Friendship Level on Consultant's Customer Orientation - Focusing on the Mediating Effect of Job Commitment","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Hansung University","keywords":"Friendship; Affect (linguistics); Mediation; Psychology; Likert scale; Social psychology; Customer orientation; Organizational commitment; Marketing; Path analysis (statistics); Exploratory factor analysis; Business; Service (business); Sociology; Developmental psychology","score_opus":0.15148991395409242,"score_gpt":0.36854504255228177,"score_spread":0.21705512859818935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028146121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904305,0.000109029104,0.000048431877,0.00005032873,0.000003260311,0.0000063336547,0.0000066899916,8.8382325e-7,0.0007319243],"genre_scores_gemma":[0.9994881,0.00012213348,0.0000655744,0.00002651058,0.0000047343556,0.000008578715,0.000010496257,7.7080864e-7,0.00027305944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989793,0.0005832603,0.00002944734,0.000090724,0.00016802069,0.00014927363],"domain_scores_gemma":[0.9938123,0.003360534,0.0011365792,0.00016656113,0.0005170843,0.0010067675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009899928,0.00024616055,0.00022141682,0.00042666783,0.0008021199,0.0007046474,0.0003103302,0.00030154153,0.003889081],"category_scores_gemma":[0.0040108208,0.00015704194,0.0003474475,0.00043704626,0.0004089224,0.00047494503,0.0005268536,0.00056196866,0.00022541569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030774975,0.0014474893,0.9496839,0.00025602218,0.0001610163,0.0012582657,0.015118352,0.00007895366,0.0017208584,0.0004757597,0.00051075564,0.028980918],"study_design_scores_gemma":[0.000017204791,0.0005717893,0.9834615,0.00005929286,0.00013338299,0.00041870333,0.013818186,0.00021413232,0.0004937009,0.00007191171,0.0007304994,0.000009580312],"about_ca_topic_score_codex":0.0039042134,"about_ca_topic_score_gemma":0.005983117,"teacher_disagreement_score":0.0039042134,"about_ca_system_score_codex":0.0005440162,"about_ca_system_score_gemma":0.0009666686,"threshold_uncertainty_score":0.013010263},"labels":[],"label_agreement":null},{"id":"W3028324660","doi":"10.5430/rwe.v11n2p112","title":"The Effect of Entrepreneurship on the Sustainability of Social Small and Medium Enterprises (SMEs) - Between the Mediating Effects of Government Support Policy in Korea","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Hansung University","keywords":"Government (linguistics); Likert scale; Entrepreneurship; Business; Entrepreneurial orientation; Sustainability; Marketing; Exploratory factor analysis; Social entrepreneurship; Empathy; Value (mathematics); Social value orientations; Business administration; Economics; Psychology; Social psychology; Finance","score_opus":0.0294865371796138,"score_gpt":0.29986060647565616,"score_spread":0.27037406929604235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028324660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949431,0.00020750276,0.00009140171,0.00046546373,0.00000931533,0.000011645041,0.000016559561,0.0000024600351,0.0042525614],"genre_scores_gemma":[0.9996867,0.00006781579,0.000034396784,0.000022779768,0.0000018490745,0.0000030199492,0.0000047651956,5.123014e-7,0.00017810108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891174,0.00051063247,0.00005551472,0.00010479131,0.00012975241,0.00028754704],"domain_scores_gemma":[0.9952362,0.0016412683,0.0013053106,0.00017225122,0.00038521248,0.0012597267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011857412,0.00021569095,0.00015252075,0.00065628934,0.00076898333,0.0014429992,0.0002516269,0.00028187412,0.0033167861],"category_scores_gemma":[0.004339954,0.00013121834,0.00039999138,0.00041279657,0.001003401,0.0008963721,0.0023941873,0.0005726241,0.00011546394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019514828,0.00058204174,0.94419956,0.00018998266,0.00020698635,0.001272125,0.008771248,0.00032155108,0.0012167062,0.005769665,0.0005667755,0.03670827],"study_design_scores_gemma":[0.000010657301,0.00017897469,0.97492456,0.00013865762,0.00010389572,0.00019873497,0.0195197,0.00034882728,0.00040918475,0.0013963776,0.002756604,0.00001384097],"about_ca_topic_score_codex":0.0021188809,"about_ca_topic_score_gemma":0.0046172207,"teacher_disagreement_score":0.0033167861,"about_ca_system_score_codex":0.0008861354,"about_ca_system_score_gemma":0.00181579,"threshold_uncertainty_score":0.011095762},"labels":[],"label_agreement":null},{"id":"W3028500325","doi":"10.5430/rwe.v11n2p50","title":"A Study on the Influence of Consultant Capacity on Consulting Utilization and Social Network: Focused on Moderating Effect of Gender","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Innovation in Digital Healthcare Systems","field":"Health Professions","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":"Hansung University","keywords":"Likert scale; Confirmatory factor analysis; Psychology; Exploratory factor analysis; Feeling; Descriptive statistics; Path analysis (statistics); Structural equation modeling; Social network (sociolinguistics); Social psychology; Scale (ratio); Applied psychology; Statistics; Computer science; Clinical psychology; Psychometrics; Developmental psychology","score_opus":0.4966403461989584,"score_gpt":0.5117411916771606,"score_spread":0.015100845478202174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028500325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980744,0.00020899605,0.00018006348,0.00016668784,0.000014638798,0.000026261581,0.00004801516,0.0000018713802,0.0012789997],"genre_scores_gemma":[0.9991653,0.00011593104,0.0001275424,0.000048816728,0.0000100261805,0.00002913693,0.000033980425,0.0000017892144,0.00046750365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977537,0.0010579396,0.00007870345,0.00034488115,0.00031632851,0.0004484345],"domain_scores_gemma":[0.9869207,0.00809653,0.0020280087,0.00030614936,0.0008997586,0.0017487938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022997272,0.00039491957,0.0003537968,0.000913485,0.0010490747,0.00088782865,0.0004897628,0.0004229663,0.005419135],"category_scores_gemma":[0.009362893,0.00020433597,0.00074583566,0.00077616423,0.0006046258,0.0012381161,0.00097054645,0.00065542705,0.0002256049],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024651893,0.000490813,0.9752075,0.0001266176,0.00012631004,0.00039951707,0.0072830673,0.000067167646,0.0002999968,0.0005768241,0.00032641328,0.0148491915],"study_design_scores_gemma":[0.00001609514,0.0004468309,0.9837203,0.00009432264,0.00020786465,0.00019953806,0.013267279,0.00053291395,0.00028030848,0.00029082192,0.00093023083,0.000013484942],"about_ca_topic_score_codex":0.008187922,"about_ca_topic_score_gemma":0.01050163,"teacher_disagreement_score":0.008187922,"about_ca_system_score_codex":0.0012026402,"about_ca_system_score_gemma":0.0025671355,"threshold_uncertainty_score":0.018128812},"labels":[],"label_agreement":null},{"id":"W3028593521","doi":"10.5430/rwe.v11n2p159","title":"A Study on the Relationship and Influence Between Motivation and Satisfaction of Ecotourism Visitors Based on IOT","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Gwangju University","keywords":"Tourism; Ecotourism; Order (exchange); Marketing; Empirical research; Consistency (knowledge bases); Business; Reliability (semiconductor); The Internet; Field (mathematics); Psychology; Computer science; Geography; Mathematics; World Wide Web","score_opus":0.18484391338653558,"score_gpt":0.39815141421064393,"score_spread":0.21330750082410835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028593521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980075,0.0000614058,0.00009773721,0.00012469085,0.0000072826783,0.00002590811,0.00006383872,0.0000027074166,0.0016089695],"genre_scores_gemma":[0.99863964,0.000119372606,0.00018689274,0.000059602884,0.000007311719,0.00004418025,0.00009059331,0.0000016834683,0.0008507403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993655,0.00021262329,0.000045997003,0.000061768835,0.00019353552,0.00012056095],"domain_scores_gemma":[0.9966252,0.001255264,0.0006580003,0.00008694509,0.00066754495,0.00070714345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095055246,0.00016959937,0.00026557568,0.00074685167,0.00083007396,0.0010374082,0.00023009698,0.00031526823,0.0036340472],"category_scores_gemma":[0.0034986392,0.0001475879,0.0008181328,0.00071747333,0.00035218452,0.00049670093,0.00056625524,0.0008152222,0.00025066358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008364711,0.0005635832,0.97424126,0.000181433,0.00007784672,0.00030188425,0.008405057,0.00008488102,0.0004478723,0.0003516295,0.000735428,0.014525511],"study_design_scores_gemma":[0.000008250463,0.00039095036,0.97415304,0.000079032456,0.00006238015,0.00019268978,0.022766883,0.0004736989,0.00018250705,0.00009886653,0.0015755066,0.000016115417],"about_ca_topic_score_codex":0.0048909374,"about_ca_topic_score_gemma":0.00620434,"teacher_disagreement_score":0.0048909374,"about_ca_system_score_codex":0.0006208118,"about_ca_system_score_gemma":0.0011660546,"threshold_uncertainty_score":0.012157083},"labels":[],"label_agreement":null},{"id":"W3035831707","doi":"10.5430/rwe.v11n3p67","title":"Mediation Effects of Firm Leverage From the Perspective of Malaysian Shariah Compliant Companies – A Partial Least Square Structural Equation Modelling Approach (PLS-SEM)","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Sains Islam Malaysia","keywords":"Capital structure; Leverage (statistics); Mediation; Stock exchange; Structural equation modeling; Business; Tax shield; Corporate finance; Industrial organization; Accounting; Debt; Marketing; Finance; Economics; Public economics","score_opus":0.10606764626055402,"score_gpt":0.29304195170987885,"score_spread":0.1869743054493248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035831707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93558484,0.00038644412,0.05295334,0.0011074872,0.00008169043,0.0006086816,0.0017278376,0.00025957474,0.0072901533],"genre_scores_gemma":[0.97329867,0.00023321465,0.023868192,0.00008544247,0.000018204248,0.0006746389,0.00078491,0.000023729142,0.001013077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955178,0.0028052777,0.000309891,0.0005857637,0.0005192804,0.00026204516],"domain_scores_gemma":[0.9902884,0.0076321405,0.0009777915,0.00036569886,0.0006098775,0.00012614697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005928666,0.0011031101,0.0009817039,0.0015779983,0.00076584675,0.0019014076,0.0011542966,0.0007292402,0.00593831],"category_scores_gemma":[0.011868752,0.0005412924,0.0017895774,0.0017770792,0.00081973564,0.0013338843,0.0015699174,0.0018484191,0.0003923078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044920793,0.0010537669,0.78019166,0.0010671904,0.0026663216,0.0024685347,0.015458511,0.030398035,0.0027973393,0.033566277,0.004530795,0.12535235],"study_design_scores_gemma":[0.00027732278,0.0016750979,0.46515197,0.0009339555,0.0025062067,0.000642727,0.016669748,0.44906634,0.0058031534,0.042214733,0.014814191,0.00024468423],"about_ca_topic_score_codex":0.00768852,"about_ca_topic_score_gemma":0.0069785607,"teacher_disagreement_score":0.00768852,"about_ca_system_score_codex":0.0007042637,"about_ca_system_score_gemma":0.002760048,"threshold_uncertainty_score":0.03135413},"labels":[],"label_agreement":null},{"id":"W3035930347","doi":"10.5430/rwe.v11n3p92","title":"An Empirical Assessment of the Effect of Taxes and Interest Rate on Economic Growth in Jordan: An Application of Dynamic Autoregressive-Distributed Lag","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","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":"Economics; Distributed lag; Short run; Cointegration; Interest rate; Monetary economics; Macroeconomics; Order (exchange); Unit root test; Unit root; Econometrics; Finance","score_opus":0.06796156234039404,"score_gpt":0.3683617252514803,"score_spread":0.3004001629110863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035930347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933694,0.00066824746,0.0019920848,0.00034680124,0.000015694151,0.000022408933,0.0003212812,0.00002306396,0.0032409518],"genre_scores_gemma":[0.9964611,0.00073519984,0.0008260605,0.000034876306,0.000021557356,0.000015121091,0.00073998055,0.000006419088,0.0011596906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993625,0.00024579774,0.00006390334,0.00011141231,0.00012707303,0.00008928459],"domain_scores_gemma":[0.99507,0.0026392587,0.0011172127,0.00019555358,0.0007715112,0.0002064981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019199654,0.00028972328,0.0003732085,0.0012836637,0.00023882571,0.0012109454,0.00037985918,0.0003533352,0.0012350037],"category_scores_gemma":[0.0049226764,0.00016792487,0.0005407378,0.0020712437,0.00034171453,0.0010673292,0.00057395163,0.00074407505,0.00027209547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022066511,0.00031478802,0.93890077,0.0001416326,0.00022552091,0.0007175027,0.00075653347,0.018277284,0.0004990774,0.0048196614,0.0013148492,0.033811737],"study_design_scores_gemma":[0.000072189694,0.000646097,0.7996657,0.00015327646,0.00033522423,0.00041838706,0.0054738107,0.17778474,0.002519405,0.0043717213,0.008500037,0.00005938825],"about_ca_topic_score_codex":0.009326229,"about_ca_topic_score_gemma":0.007814221,"teacher_disagreement_score":0.009326229,"about_ca_system_score_codex":0.0007680623,"about_ca_system_score_gemma":0.0012014145,"threshold_uncertainty_score":0.018543899},"labels":[],"label_agreement":null},{"id":"W3035976539","doi":"10.5430/rwe.v11n3p12","title":"Thoughts on Competitiveness and Integrated Industrial Policy: A Field of Mutual Convergences","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Regional Development and Policy","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":"University of the Aegean","keywords":"Restructuring; Context (archaeology); Industrial policy; Economic system; Globalization; Business; Industrial organization; Sustainable development; Economics; Political science; International trade; Market economy","score_opus":0.26644801249445094,"score_gpt":0.45397258778503574,"score_spread":0.1875245752905848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035976539","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":[0.01692049,0.117532015,0.024888702,0.594115,0.0046588383,0.000045557106,0.00006984127,0.00013774581,0.24163178],"genre_scores_gemma":[0.8260791,0.080536716,0.012913924,0.04523438,0.009991677,0.0002708983,0.00010829242,0.00018104757,0.024684044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9934794,0.0038801103,0.00014496894,0.000797243,0.00090252876,0.0007957222],"domain_scores_gemma":[0.9944989,0.003809721,0.00041312876,0.00034938482,0.0004890638,0.00043979302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00821207,0.000780697,0.0009861176,0.0045134076,0.0055754185,0.016941076,0.002080029,0.0075131976,0.006261889],"category_scores_gemma":[0.007654482,0.00030249055,0.0009703671,0.004464909,0.040156648,0.024111195,0.0083686765,0.008456351,0.00073544035],"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":[0.000004119897,0.000006813187,0.000057655456,0.0000420151,0.000002546628,0.000031651965,0.0017575404,0.0001437239,0.00001534219,0.99241745,0.0021243528,0.0033966268],"study_design_scores_gemma":[0.0000070318138,0.000011673893,0.00024922114,0.00033310882,0.00000448782,0.00007096741,0.00525465,0.0002917263,0.000048559185,0.88738906,0.10632639,0.000013142546],"about_ca_topic_score_codex":0.0023637007,"about_ca_topic_score_gemma":0.0018393324,"teacher_disagreement_score":0.016941076,"about_ca_system_score_codex":0.010974954,"about_ca_system_score_gemma":0.0069290875,"threshold_uncertainty_score":0.07962924},"labels":[],"label_agreement":null},{"id":"W3036012883","doi":"10.5430/rwe.v11n3p231","title":"Optimizing Logistics System to Serve Vietnam's Rice Export Strategy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade and economics","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":"Transshipment (information security); Business; Port (circuit theory); Production (economics); Agriculture; Boom; Environmental economics; Industrial organization; Natural resource economics; Economics; Environmental science; Operations research; Engineering; Environmental engineering; Geography","score_opus":0.3011566239787625,"score_gpt":0.32453117660097336,"score_spread":0.02337455262221083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036012883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68695325,0.0009256474,0.22369906,0.0014528638,0.00012746589,0.00075111806,0.0012337329,0.0008378146,0.08401899],"genre_scores_gemma":[0.97765493,0.0003883609,0.014532477,0.00003561761,0.0000066883817,0.00009761064,0.0003698307,0.00003413097,0.006880409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997476,0.00007520467,0.000010859821,0.000033387754,0.000036505524,0.00009645969],"domain_scores_gemma":[0.99982774,0.000032148433,0.00002426339,0.000008510635,0.000075533724,0.000031628955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000468495,0.0007440208,0.00046370775,0.0007571778,0.00066599675,0.0016580304,0.0005888658,0.0006469924,0.005023349],"category_scores_gemma":[0.00068501197,0.0002822821,0.0005999846,0.0007331214,0.0002590377,0.0012508288,0.0006474276,0.0004527975,0.0004892715],"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":[0.000049589107,0.000044593715,0.0036025979,0.00008712385,0.000017832868,0.00022347673,0.00006873272,0.97914255,0.0017267716,0.0032288367,0.0012739047,0.010533928],"study_design_scores_gemma":[0.000021438776,0.00015672452,0.0026215124,0.000025594629,0.000028087688,0.000065987224,0.0005057916,0.98981524,0.0013773356,0.0017724318,0.0035890066,0.000020835847],"about_ca_topic_score_codex":0.03627605,"about_ca_topic_score_gemma":0.027213972,"teacher_disagreement_score":0.03627605,"about_ca_system_score_codex":0.002469748,"about_ca_system_score_gemma":0.003118216,"threshold_uncertainty_score":0.072129786},"labels":[],"label_agreement":null},{"id":"W3036017678","doi":"10.5430/rwe.v11n3p1","title":"A Comparative Study of the Development of Technology-Intensive Industries: Korean and Romanian Automobile Industries","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Innovation Policy and R&D","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":"Automotive industry; Industrialisation; Business; Government (linguistics); Linkage (software); Industrial organization; Romanian; Comparative advantage; Economics; International trade; Engineering; Market economy","score_opus":0.2324133862478377,"score_gpt":0.3530306769152144,"score_spread":0.1206172906673767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036017678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99332774,0.00045009225,0.00004949972,0.000049824663,0.0000018608183,0.000007046384,0.000059406233,6.9373215e-7,0.0060537495],"genre_scores_gemma":[0.9984837,0.0005352899,0.00006527813,0.00001959605,0.0000010363482,0.0000031712166,0.00010083821,0.0000012238191,0.0007897419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996214,0.00009216691,0.000032045205,0.000045174176,0.000041225256,0.00016793079],"domain_scores_gemma":[0.9991848,0.00015054696,0.00031318775,0.000039850023,0.00018798032,0.00012375947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006685545,0.0001502923,0.00014140892,0.0013402719,0.000430812,0.0011631913,0.00021481318,0.00017847573,0.0022109298],"category_scores_gemma":[0.001120348,0.00011248525,0.00023534958,0.0025704901,0.00048457138,0.0008234398,0.0009061085,0.00028949438,0.00024271254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005035758,0.000315438,0.8929628,0.00038835203,0.00011070174,0.0022271671,0.023983886,0.0010316106,0.0047397083,0.01773795,0.0008099993,0.055188756],"study_design_scores_gemma":[0.00001238822,0.00018775582,0.9467971,0.0000865076,0.000032106596,0.00045747947,0.041069854,0.0002462197,0.0011410126,0.00021547588,0.009740394,0.0000137104835],"about_ca_topic_score_codex":0.009156648,"about_ca_topic_score_gemma":0.020835642,"teacher_disagreement_score":0.009156648,"about_ca_system_score_codex":0.001073385,"about_ca_system_score_gemma":0.0011891978,"threshold_uncertainty_score":0.018206716},"labels":[],"label_agreement":null},{"id":"W3036057955","doi":"10.5430/rwe.v11n3p251","title":"Econometric Analysis of Tourist Demand in the Absheron Peninsula (Baku-Azerbaijan)","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Aspects of Tourism Research","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":"","keywords":"Tourism; Peninsula; Economy; State (computer science); Order (exchange); Business; Regional science; Geography; Economics; Finance; Computer science","score_opus":0.17854394640096938,"score_gpt":0.4288647339222297,"score_spread":0.2503207875212603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036057955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975865,0.00012109535,0.00034802282,0.00017785917,0.000008613828,0.000011383751,0.0003508178,0.000008392106,0.0013874043],"genre_scores_gemma":[0.99740666,0.00015627385,0.0002749566,0.000021087573,0.000008026436,0.000013466592,0.00053455005,0.0000033469441,0.0015816338],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997825,0.00007849117,0.000009117704,0.000029044422,0.000028982693,0.000071878094],"domain_scores_gemma":[0.9994134,0.00039136352,0.00005412061,0.000020818088,0.00005609339,0.000064259766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004923738,0.00031746158,0.00041032166,0.0006357463,0.00044497487,0.0011065487,0.00051600195,0.00051720615,0.0039141616],"category_scores_gemma":[0.001092639,0.00030128518,0.00089724193,0.000846767,0.00042641882,0.00035061772,0.0005375712,0.00087421946,0.00041700658],"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":[0.0010467956,0.0015186092,0.7275109,0.00027869514,0.0005447476,0.0037718671,0.0023968657,0.22358982,0.0062153335,0.007119673,0.004207768,0.02179883],"study_design_scores_gemma":[0.000060572947,0.00033185634,0.691178,0.00004646482,0.00011493565,0.00019374823,0.009484981,0.29372758,0.00072115246,0.0010980987,0.002985302,0.000057281428],"about_ca_topic_score_codex":0.15684779,"about_ca_topic_score_gemma":0.13246231,"teacher_disagreement_score":0.15684779,"about_ca_system_score_codex":0.0023282862,"about_ca_system_score_gemma":0.0012855099,"threshold_uncertainty_score":0.31186962},"labels":[],"label_agreement":null},{"id":"W3036182197","doi":"10.5430/rwe.v11n3p245","title":"Labour Productivity in Different Segments of Aircraft Industry","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Heat Transfer and Mathematical Modeling","field":"Engineering","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":"Productivity; Industrial organization; Purchasing power parity; Competition (biology); Liberian dollar; Business; Purchasing power; Workforce; Economics; Bargaining power; Labour economics; Finance; Exchange rate; Microeconomics; Economic growth; Macroeconomics","score_opus":0.11228018976359681,"score_gpt":0.3324324823482404,"score_spread":0.22015229258464358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036182197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970751,0.0031615368,0.0035787888,0.00054284895,0.000047188994,0.000028874374,0.00077710993,0.00001202931,0.021100583],"genre_scores_gemma":[0.99706656,0.0006205177,0.00025532517,0.000027807882,0.000046132707,0.000016365193,0.0002691897,0.0000035430642,0.0016945779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989687,0.0002776898,0.000041381005,0.00018391198,0.00021499376,0.0003133841],"domain_scores_gemma":[0.9980147,0.000817108,0.00047697773,0.00009774202,0.00030823474,0.00028526195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011951608,0.00029322298,0.00029650616,0.003679023,0.00050486164,0.0012166562,0.00052246806,0.0005050063,0.0036135213],"category_scores_gemma":[0.003780731,0.00010008843,0.00048613627,0.0031531816,0.0007489199,0.0011146049,0.0012408722,0.00034203607,0.00065893604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072146213,0.00019671793,0.8062471,0.00028696412,0.00021449476,0.0010440295,0.0057481644,0.02140389,0.0038922618,0.028482113,0.0020838378,0.12967895],"study_design_scores_gemma":[0.000010268047,0.0002829614,0.95349115,0.00011516641,0.0000512212,0.0003669739,0.0066058864,0.01349851,0.00091778085,0.018200306,0.006419265,0.000040680065],"about_ca_topic_score_codex":0.005236956,"about_ca_topic_score_gemma":0.0024067091,"teacher_disagreement_score":0.005236956,"about_ca_system_score_codex":0.0010201868,"about_ca_system_score_gemma":0.00042971203,"threshold_uncertainty_score":0.012088478},"labels":[],"label_agreement":null},{"id":"W3036196987","doi":"10.5430/rwe.v11n3p224","title":"Outsourcing Practices in State-Owned Enterprises: Evidence From Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Legal Studies and Policies","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":"Outsourcing; Business; Knowledge process outsourcing; Government (linguistics); Work (physics); Core (optical fiber); Business relationship management; Industrial organization; Marketing; Business model; Public relations; Electronic business","score_opus":0.27144977433355255,"score_gpt":0.4610481716335386,"score_spread":0.18959839729998607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036196987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823254,0.00013602812,0.000027978727,0.000060608938,0.0000011089518,0.000006033428,0.000031211814,6.624867e-7,0.0015039302],"genre_scores_gemma":[0.9990669,0.00039680387,0.000054580854,0.000034470428,0.0000016021244,0.000007798564,0.000052152096,0.0000011943665,0.00038457842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993812,0.00013945259,0.00008882111,0.00007448701,0.00019877452,0.00011721805],"domain_scores_gemma":[0.9967219,0.0010742054,0.0014460474,0.00018674796,0.00025973518,0.00031142432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007305973,0.00014230602,0.0002532218,0.00089737785,0.0011510617,0.001528598,0.00046832874,0.00030027577,0.0021741437],"category_scores_gemma":[0.0021712882,0.0003070784,0.00017663125,0.0025811729,0.0011130378,0.000897188,0.0010411752,0.00044949044,0.00023151505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059707832,0.00042082765,0.93348336,0.00031002244,0.000028951928,0.0015447127,0.046734564,0.000069096306,0.0007484531,0.0006320261,0.00028726007,0.01568108],"study_design_scores_gemma":[0.000005402545,0.000058516565,0.92204815,0.000130434,0.000022738299,0.00056868605,0.07504978,0.00014773471,0.000266029,0.000087146356,0.0016083034,0.0000070809197],"about_ca_topic_score_codex":0.016680527,"about_ca_topic_score_gemma":0.04435105,"teacher_disagreement_score":0.016680527,"about_ca_system_score_codex":0.0011069888,"about_ca_system_score_gemma":0.002161387,"threshold_uncertainty_score":0.033166885},"labels":[],"label_agreement":null},{"id":"W3036245496","doi":"10.5430/rwe.v11n3p59","title":"Identification Factors Affecting Variation and Change Order of Design-Build Projects","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Construction Project Management and Performance","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":"Viet Nam National University Ho Chi Minh City; Ho Chi Minh City University of Technology and Education","keywords":"Change order; Variation (astronomy); Scope (computer science); Schedule; Order (exchange); Identification (biology); Project management; Process (computing); Process management; Investment (military); Quality (philosophy); Computer science; Risk analysis (engineering); Business; Operations management; Project planning; Systems engineering; Engineering; Project charter; Political science","score_opus":0.4812570873769246,"score_gpt":0.4548846131230429,"score_spread":0.026372474253881673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036245496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943773,0.00009131682,0.00202604,0.00010846942,0.000005630935,0.00010034059,0.000054276134,0.000011119616,0.0032253081],"genre_scores_gemma":[0.9986155,0.00003823674,0.0008627678,0.0000051351462,0.0000015673116,0.000014545149,0.000039929088,0.0000030833937,0.0004192388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99316365,0.0024105555,0.00071135914,0.00050853967,0.0024122403,0.0007935914],"domain_scores_gemma":[0.96919954,0.016566481,0.007242635,0.00065598823,0.0049448116,0.0013906369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036848495,0.00024745148,0.00019347458,0.0014787399,0.0007485571,0.0018642375,0.0003505313,0.0003035317,0.0015818095],"category_scores_gemma":[0.027003938,0.00020880882,0.00022638042,0.0011354727,0.0005771385,0.0009206632,0.00066609296,0.000565852,0.000157148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016143896,0.0002208668,0.9281029,0.00015602945,0.000037794536,0.00062039815,0.009727899,0.0038290943,0.0027314576,0.001408772,0.0004537601,0.05254966],"study_design_scores_gemma":[0.0000052986356,0.00019156761,0.9710343,0.000056775225,0.00002589571,0.00015817137,0.017585898,0.0058567915,0.001940664,0.0005334498,0.002574111,0.000037040303],"about_ca_topic_score_codex":0.01188025,"about_ca_topic_score_gemma":0.018670598,"teacher_disagreement_score":0.01188025,"about_ca_system_score_codex":0.0025236728,"about_ca_system_score_gemma":0.003492263,"threshold_uncertainty_score":0.023622215},"labels":[],"label_agreement":null},{"id":"W3036261701","doi":"10.5430/rwe.v11n3p216","title":"Does Monetary Policy Boost Economic Growth? The Case of Small Open Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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; Monetary policy; Robustness (evolution); Error correction model; Exchange rate; Monetary economics; Monetary base; Open economy; Estimation; Macroeconomics; Econometrics; Cointegration","score_opus":0.20859964039872234,"score_gpt":0.33616726635950434,"score_spread":0.127567625960782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036261701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643457,0.005052371,0.0032163635,0.008976983,0.00015142,0.000018889586,0.00018638019,0.00002968234,0.01802226],"genre_scores_gemma":[0.9980494,0.0010402619,0.00016612996,0.000058365953,0.0000480826,0.00000434947,0.000018338902,0.0000025832724,0.0006126616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995403,0.00018270101,0.000021185859,0.00006593496,0.00004848529,0.00014133977],"domain_scores_gemma":[0.99809426,0.001065184,0.00051970483,0.00007152375,0.00013106054,0.000118210744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013996009,0.00024072433,0.000505299,0.000676049,0.0005288079,0.0021541037,0.00034525516,0.00073952327,0.002248568],"category_scores_gemma":[0.0050477344,0.00011177347,0.00036692538,0.00072841544,0.0010195707,0.0018038137,0.0010864228,0.0010456892,0.00013500667],"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":[0.0017638144,0.00052035623,0.22532463,0.0012689155,0.0006185875,0.014748563,0.0024207481,0.16917804,0.004788465,0.48976678,0.0084275445,0.08117353],"study_design_scores_gemma":[0.0003079358,0.00078734977,0.35733965,0.0005676476,0.00091656164,0.0011805856,0.014479916,0.26054552,0.004541878,0.325627,0.033583757,0.0001222012],"about_ca_topic_score_codex":0.0091853235,"about_ca_topic_score_gemma":0.0073721283,"teacher_disagreement_score":0.0091853235,"about_ca_system_score_codex":0.0010538031,"about_ca_system_score_gemma":0.0009159484,"threshold_uncertainty_score":0.018263698},"labels":[],"label_agreement":null},{"id":"W3036282159","doi":"10.5430/rwe.v11n3p50","title":"Caclulation Structure of Labor Costs for the Research and Development","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Normative; Comparability; Representation (politics); Incentive; Schematic; Economics; Work (physics); Legislature; Process (computing); Actuarial science; Econometrics; Computer science; Operations management; Microeconomics; Mathematics; Engineering","score_opus":0.25785083420572524,"score_gpt":0.437896028756248,"score_spread":0.18004519455052276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036282159","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":[0.03802797,0.0031923323,0.66748905,0.0055029807,0.00065250084,0.0023465357,0.0028357431,0.00092029484,0.27903262],"genre_scores_gemma":[0.4493458,0.0035976837,0.4653155,0.0005480521,0.0005229342,0.0035287156,0.00283913,0.00034666093,0.07395566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9856572,0.0047040223,0.0013323271,0.0014482266,0.005978586,0.0008795837],"domain_scores_gemma":[0.9873718,0.0037960203,0.0015796032,0.0023075927,0.0044912593,0.00045379714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006601097,0.0009750164,0.0004710996,0.005914825,0.0021158394,0.006201904,0.0019262497,0.0013565471,0.02008916],"category_scores_gemma":[0.018026419,0.0005166006,0.0009509202,0.0048242104,0.0019555646,0.0036243016,0.0023796174,0.0014298543,0.0045428267],"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":[0.00009882911,0.00007984701,0.005087112,0.00039371665,0.00004690625,0.000178471,0.00053851446,0.008973645,0.0012612181,0.74554765,0.008440441,0.22935367],"study_design_scores_gemma":[0.0000738822,0.00036960305,0.02901185,0.0011309076,0.00016665354,0.0018801684,0.001665783,0.055082437,0.006802752,0.55037075,0.35325623,0.00018903076],"about_ca_topic_score_codex":0.004358972,"about_ca_topic_score_gemma":0.0040158546,"teacher_disagreement_score":0.02008916,"about_ca_system_score_codex":0.008025744,"about_ca_system_score_gemma":0.009333854,"threshold_uncertainty_score":0.06720489},"labels":[],"label_agreement":null},{"id":"W3036296976","doi":"10.5430/rwe.v11n3p124","title":"Income Diversification Among Rural Households in the Mekong River Delta, Vietnam: A Look Back at the Economic Transition Period","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological 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":"Diversification (marketing strategy); Wage; Agriculture; Economics; Socioeconomics; Demographic economics; Household income; Mekong delta; Geography; Labour economics; Agricultural economics; Business","score_opus":0.09275899966745413,"score_gpt":0.29370028877336796,"score_spread":0.20094128910591383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036296976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990947,0.00011350716,0.000014968541,0.000076358454,0.0000011363571,0.0000039417696,0.00033572112,5.4222727e-7,0.0003591498],"genre_scores_gemma":[0.9992669,0.00013978002,0.00001990647,0.000018257815,0.0000012241042,0.0000044178223,0.00027511604,5.0066006e-7,0.00027384984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998908,0.000019695024,0.0000072623284,0.000021356207,0.000009815534,0.000051095914],"domain_scores_gemma":[0.9996606,0.0000344629,0.00014095481,0.000009365429,0.000057455836,0.00009716606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019059551,0.00011861977,0.00012885946,0.0008575104,0.00047649455,0.00048455154,0.00021865426,0.0001416405,0.0012028132],"category_scores_gemma":[0.0004371814,0.000119299475,0.0001506856,0.0014103793,0.0003291499,0.00043107412,0.0006256945,0.000256193,0.0001099645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005944466,0.000023816501,0.9884376,0.00004103796,0.00002295985,0.00041044445,0.0057468787,0.000105833,0.00035815476,0.00016026977,0.00021271777,0.004420863],"study_design_scores_gemma":[6.6010864e-7,0.000015930102,0.9951617,0.000010193466,0.000002172358,0.000054633885,0.0043084472,0.000040431565,0.00002343215,0.000011294625,0.0003694351,0.0000016932981],"about_ca_topic_score_codex":0.11764678,"about_ca_topic_score_gemma":0.1528759,"teacher_disagreement_score":0.11764678,"about_ca_system_score_codex":0.0009053051,"about_ca_system_score_gemma":0.0005658552,"threshold_uncertainty_score":0.23392403},"labels":[],"label_agreement":null},{"id":"W3036304768","doi":"10.5430/rwe.v11n3p142","title":"The Impact of Social Responsibility Disclosure in Reducing the Risk in Jordanian Commercial Banks","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Corporate Social Responsibility Reporting","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":"Zarqa University","keywords":"Business; Social responsibility; Sample (material); Descriptive statistics; Regression analysis; Actuarial science; Accounting; Corporate social responsibility; Descriptive research; Public relations","score_opus":0.09450052723052672,"score_gpt":0.37468451311238143,"score_spread":0.2801839858818547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036304768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98865557,0.0009796472,0.00036426884,0.0035367887,0.000033677265,0.000033794637,0.000022680228,0.000010580623,0.006362933],"genre_scores_gemma":[0.99882835,0.00040677228,0.00024348692,0.00016983399,0.000021107766,0.000007663056,0.0000079475985,0.0000012601829,0.00031351496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925597,0.004973873,0.00034758597,0.00020311416,0.0012542546,0.0006615063],"domain_scores_gemma":[0.9779925,0.007137772,0.008404706,0.00072448154,0.003169839,0.0025707697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005100665,0.00024409407,0.0002051919,0.0007062484,0.0014117393,0.002035275,0.00039915086,0.00056150334,0.0017115403],"category_scores_gemma":[0.022473875,0.00011877732,0.00028281036,0.00046564473,0.0010934497,0.0011784139,0.002033967,0.0010866175,0.00013792477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040064033,0.0027560291,0.60132784,0.0007701091,0.0003012472,0.0010022469,0.06014743,0.0014104571,0.0016301671,0.0046306113,0.004228602,0.32139468],"study_design_scores_gemma":[0.00005430308,0.0012859432,0.85649884,0.00096558715,0.00021519298,0.00072972337,0.11675702,0.0024110137,0.0016919153,0.0036305815,0.015661826,0.000098049546],"about_ca_topic_score_codex":0.0032479372,"about_ca_topic_score_gemma":0.0049122605,"teacher_disagreement_score":0.005100665,"about_ca_system_score_codex":0.0012489014,"about_ca_system_score_gemma":0.004377575,"threshold_uncertainty_score":0.026975214},"labels":[],"label_agreement":null},{"id":"W3036445944","doi":"10.5430/rwe.v11n3p36","title":"The Impact of New Rural Cooperative Insurance on Migrant Workers' Consumption: Empirical Analysis Based on China Migrants Dynamic Survey","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Healthcare Systems and Reforms","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":"Shantou University","keywords":"Consumption (sociology); Propensity score matching; Migrant workers; Per capita; China; Demographic economics; Medical insurance; Business; Per capita income; Socioeconomics; Matching (statistics); Commission; Economics; Economic growth; Environmental health; Actuarial science; Geography; Demography; Population; Medicine; Sociology","score_opus":0.18400753088083302,"score_gpt":0.41603066021113777,"score_spread":0.23202312933030475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036445944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993387,0.00012065398,0.0000936439,0.00013605761,0.000002824079,0.000005212115,0.00013309292,0.0000018528235,0.00016802312],"genre_scores_gemma":[0.99926907,0.000109273344,0.000058582973,0.000029629433,0.000008832332,0.0000049576847,0.00024297141,9.625677e-7,0.0002757226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923,0.00028623216,0.000054366054,0.00011513663,0.00011375304,0.00020058997],"domain_scores_gemma":[0.997617,0.0006894485,0.0009793073,0.00018524524,0.00019566245,0.0003333044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015774702,0.00025166405,0.00035555387,0.0009242575,0.00039186748,0.0006469773,0.00045980202,0.00044084934,0.0017093739],"category_scores_gemma":[0.003285774,0.00017659774,0.001145915,0.0012782259,0.0003701122,0.00049382827,0.00062329945,0.0006280156,0.00014932778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058170746,0.000055534187,0.9963007,0.000011931497,0.00010487034,0.00012860961,0.00020408865,0.00056196476,0.000073248244,0.00016774239,0.0001664289,0.0021667778],"study_design_scores_gemma":[0.000007859155,0.00005231765,0.99476904,0.000009583047,0.00010987307,0.000040516607,0.00064011524,0.003931312,0.00006759168,0.00007494436,0.00029093798,0.000005848616],"about_ca_topic_score_codex":0.04542995,"about_ca_topic_score_gemma":0.04868271,"teacher_disagreement_score":0.04542995,"about_ca_system_score_codex":0.0008226721,"about_ca_system_score_gemma":0.00085127394,"threshold_uncertainty_score":0.09033102},"labels":[],"label_agreement":null},{"id":"W3036461752","doi":"10.5430/rwe.v11n3p192","title":"Contribution of Real Estate Activities and Financial/Insurance Industry Activities to the Formation of Gross Domestic Product","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Fiscal Policies","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":"Gross domestic product; Real estate; Variables; Product (mathematics); Life insurance; Economics; Business; Financial services; Actuarial science; Finance; Econometrics; Mathematics; Statistics; Macroeconomics","score_opus":0.06809444577582816,"score_gpt":0.3012407625762708,"score_spread":0.23314631680044265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036461752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98037153,0.000608972,0.0008118616,0.00024774164,0.000035532237,0.0000281059,0.00088337867,0.000023327115,0.016989518],"genre_scores_gemma":[0.9957504,0.0004133143,0.0005960862,0.000011772576,0.000009785784,0.000006034789,0.00059155293,0.0000053778585,0.0026157068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957174,0.00006444198,0.00004154898,0.000075303826,0.00017841803,0.00006859918],"domain_scores_gemma":[0.9984231,0.0002924632,0.00059606537,0.000079829886,0.00034390905,0.00026470778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046635504,0.0002937896,0.00018626644,0.0010040102,0.00017857515,0.0013544023,0.0002027792,0.000100031466,0.0023280482],"category_scores_gemma":[0.0015998473,0.00013377977,0.0003225115,0.0013919723,0.00036909844,0.0004983007,0.00074710936,0.00054771494,0.0006231905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044948047,0.0000569207,0.9693136,0.00007889832,0.0000639749,0.00033816524,0.0004583398,0.001132642,0.0007545613,0.000681133,0.0005291505,0.02654753],"study_design_scores_gemma":[0.0000012593689,0.000033088392,0.99135923,0.00002843557,0.000028807659,0.00016060912,0.0010224854,0.0013356342,0.001037059,0.00019530617,0.004790465,0.00000750475],"about_ca_topic_score_codex":0.0077128536,"about_ca_topic_score_gemma":0.012524876,"teacher_disagreement_score":0.0077128536,"about_ca_system_score_codex":0.0006761814,"about_ca_system_score_gemma":0.000973222,"threshold_uncertainty_score":0.0153359175},"labels":[],"label_agreement":null},{"id":"W3036639213","doi":"10.5430/rwe.v11n3p151","title":"Legal, Institutional and Financial Solutions for the Sustainable Development Strategy of Inland Waterway Transport in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Arctic and Russian Policy 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":"Business; Enforcement; Sustainable development; Finance; Capital (architecture); Environmental planning","score_opus":0.11963140015990849,"score_gpt":0.36818847921178427,"score_spread":0.2485570790518758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036639213","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":[0.12554285,0.010079593,0.0298707,0.3368581,0.0014476611,0.0013086343,0.00067487184,0.00020531563,0.49401227],"genre_scores_gemma":[0.85653347,0.0067843297,0.01788095,0.009684703,0.00025749832,0.00041413083,0.0005605451,0.00006002237,0.107824266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981456,0.0004571865,0.00011602454,0.00015464282,0.00055733696,0.0005692408],"domain_scores_gemma":[0.9970085,0.0003614794,0.00041108736,0.00011969143,0.001189262,0.0009100292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003163452,0.00022146304,0.00012851894,0.0006913372,0.0023166146,0.0060349638,0.0013533268,0.0019890696,0.006787534],"category_scores_gemma":[0.0036622745,0.00018761415,0.00021348087,0.0006321721,0.0022763677,0.0032931468,0.0029781826,0.0025574288,0.00051787926],"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":[0.000013481064,0.00012744634,0.008316477,0.0004515307,0.000017127233,0.001949998,0.007254375,0.0038624564,0.0014384952,0.8391995,0.060682565,0.076686576],"study_design_scores_gemma":[0.00002180048,0.000059172424,0.010928887,0.001244205,0.000018693216,0.00039069896,0.01982904,0.004852386,0.0011910994,0.11086846,0.8505568,0.000038638125],"about_ca_topic_score_codex":0.0738965,"about_ca_topic_score_gemma":0.07189604,"teacher_disagreement_score":0.0738965,"about_ca_system_score_codex":0.009665112,"about_ca_system_score_gemma":0.055364665,"threshold_uncertainty_score":0.14693272},"labels":[],"label_agreement":null},{"id":"W3036674962","doi":"10.5430/rwe.v11n3p80","title":"Potential Migration Investigation in the Mechanism of Labor Market Regulation","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":true,"ca_institutions":"","funders":"","keywords":"Residence; Demographic economics; Logistic regression; Sample (material); Panel data; Economics; Business; Econometrics; Computer science","score_opus":0.09639447664713476,"score_gpt":0.35022819580440956,"score_spread":0.2538337191572748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036674962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7162845,0.004601126,0.059770558,0.016517753,0.00048874726,0.0004069978,0.0002453976,0.00020472874,0.2014801],"genre_scores_gemma":[0.99194264,0.0005363792,0.0018338141,0.00030153865,0.000048877548,0.000063750165,0.000021302088,0.0000075889197,0.005244256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9980804,0.0008170441,0.00007112741,0.0003189522,0.00030179936,0.00041063974],"domain_scores_gemma":[0.9969406,0.0013968562,0.0007502492,0.00028551315,0.0004369003,0.00018994934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032278846,0.00025136143,0.00027854278,0.0015720048,0.0013875669,0.0028104018,0.0009779894,0.0012048779,0.0076584565],"category_scores_gemma":[0.004978796,0.00023905467,0.0008341944,0.0006311547,0.0036549584,0.0023198857,0.0018830512,0.00089329586,0.0005286862],"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":[0.0002825406,0.00027435407,0.10062125,0.00040064118,0.000122029414,0.0016957682,0.011459849,0.003667998,0.004942781,0.8082262,0.004111721,0.06419482],"study_design_scores_gemma":[0.00016291584,0.00083499984,0.28973117,0.0013047912,0.00031587572,0.0026123254,0.041024916,0.058702145,0.008574327,0.49340138,0.10310017,0.00023502833],"about_ca_topic_score_codex":0.0032316977,"about_ca_topic_score_gemma":0.0015555974,"teacher_disagreement_score":0.0076584565,"about_ca_system_score_codex":0.0018615766,"about_ca_system_score_gemma":0.0020032837,"threshold_uncertainty_score":0.025620103},"labels":[],"label_agreement":null},{"id":"W3036697045","doi":"10.5430/rwe.v11n3p200","title":"The Impacts of Earnings Quality on Dividend Policy of Listed Enterprises in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"National Foundation for Science and Technology Development","keywords":"Accrual; Earnings; Dividend policy; Dividend; Earnings quality; Business; Quality (philosophy); Econometrics; Regression analysis; Accounting; Financial economics; Economics; Finance; Statistics; Mathematics","score_opus":0.06445809833087097,"score_gpt":0.3493040549763445,"score_spread":0.2848459566454735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036697045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983021,0.00010595346,0.000047598096,0.00025861504,0.000002913052,0.0000033337142,0.000049922022,9.1872755e-7,0.0012286925],"genre_scores_gemma":[0.9996551,0.000044136443,0.000018034512,0.000013064213,0.0000019151728,5.8369824e-7,0.000033073382,4.067878e-7,0.00023365642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940085,0.00016956626,0.000056265097,0.00006217836,0.00012803392,0.00018311437],"domain_scores_gemma":[0.99548584,0.0010044272,0.001867621,0.00014345687,0.00090347184,0.000595198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009906396,0.000072125884,0.00009817877,0.00036551856,0.0003831946,0.0011145232,0.0001502953,0.00017928985,0.0012041866],"category_scores_gemma":[0.0039459616,0.00007671621,0.00010858283,0.00048049024,0.00040646538,0.00055871444,0.00052742637,0.00039378012,0.00006117395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059767266,0.00008462234,0.9854165,0.000022251714,0.000023643992,0.00020696945,0.0011433575,0.00089715555,0.00027593414,0.0012354169,0.00024248603,0.010391983],"study_design_scores_gemma":[0.0000025427582,0.000041640946,0.99493486,0.000015165755,0.000007696332,0.000029478924,0.0025972596,0.0011210279,0.00020168218,0.00026455792,0.0007795257,0.0000046323926],"about_ca_topic_score_codex":0.050083477,"about_ca_topic_score_gemma":0.053532377,"teacher_disagreement_score":0.050083477,"about_ca_system_score_codex":0.0017299503,"about_ca_system_score_gemma":0.0013537174,"threshold_uncertainty_score":0.099583924},"labels":[],"label_agreement":null},{"id":"W3036857753","doi":"10.5430/rwe.v11n3p99","title":"Modern Approaches to the Integrated Assessment of Personnel Risks of an Industrial Enterprise","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Technological Systems 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":"Work (physics); Risk assessment; Risk management; Business; Risk analysis (engineering); Order (exchange); IT risk management; Enterprise risk management; Knowledge management; Computer science; Engineering","score_opus":0.5452295239486141,"score_gpt":0.36554918925592017,"score_spread":0.17968033469269395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036857753","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":[0.02839347,0.016265942,0.8455394,0.0062047206,0.0003215613,0.00028403473,0.00009402153,0.00016006145,0.102736704],"genre_scores_gemma":[0.6649355,0.014347625,0.30971164,0.0007927072,0.00072613126,0.00069285015,0.00015145994,0.000050758525,0.008591235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99125504,0.004793862,0.00062211807,0.00083304354,0.002149549,0.0003462521],"domain_scores_gemma":[0.99337125,0.0041731982,0.00082324893,0.0005763162,0.00088314805,0.00017282635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006437813,0.00139316,0.0008250865,0.009501645,0.0017177926,0.007954778,0.0022011716,0.0021736305,0.0028164699],"category_scores_gemma":[0.007707381,0.0005492915,0.0015572247,0.0034819928,0.011939411,0.006126883,0.003965126,0.0029898866,0.00036825036],"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":[0.000017203298,0.000060497536,0.0022987004,0.0003673966,0.00008365436,0.0001901543,0.004072353,0.009930376,0.0003465422,0.9277534,0.0009654575,0.053914316],"study_design_scores_gemma":[0.0000068611216,0.000050154667,0.001998092,0.0002966513,0.000032357588,0.00021136575,0.0018805185,0.014900897,0.0001857202,0.9623395,0.01806898,0.000028961762],"about_ca_topic_score_codex":0.002726008,"about_ca_topic_score_gemma":0.0019376737,"teacher_disagreement_score":0.009501645,"about_ca_system_score_codex":0.0072325305,"about_ca_system_score_gemma":0.0033124965,"threshold_uncertainty_score":0.05247593},"labels":[],"label_agreement":null},{"id":"W3036863693","doi":"10.5430/rwe.v11n3p26","title":"Treatment Costs for Nasopharyngeal Cancer by Stages: Patients’ Experience in Sarawak General Hospital","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"HIV/AIDS Impact and Responses","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":"Universiti Malaysia Sarawak","keywords":"Subsidy; Government (linguistics); Nasopharyngeal carcinoma; Public hospital; Medicine; General hospital; Indirect costs; Cancer treatment; Business; Finance; Cancer; Family medicine; Nursing; Surgery; Economics; Internal medicine; Radiation therapy; Accounting","score_opus":0.12140560649535292,"score_gpt":0.368810041555603,"score_spread":0.24740443506025006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036863693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99843866,0.00015751294,0.000010106389,0.00028849972,0.0000029998162,0.0000046613673,0.00032269538,8.865419e-7,0.0007739584],"genre_scores_gemma":[0.9991049,0.00021658164,0.000021023578,0.000051493156,0.0000028512184,0.0000037410566,0.0001876445,8.54137e-7,0.00041089708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994178,0.00017256633,0.00007556673,0.00003725345,0.00009171416,0.0002051184],"domain_scores_gemma":[0.99832064,0.00028689194,0.0008096512,0.000034757468,0.00015611645,0.00039187234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003959092,0.00016567252,0.00021424024,0.00040584122,0.000525664,0.0006989218,0.0002860056,0.00033536484,0.0024746363],"category_scores_gemma":[0.0021279277,0.0001766454,0.00042178074,0.001158531,0.00033324922,0.00047830705,0.00078435685,0.00053587195,0.00027876618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026900947,0.00009238791,0.9835488,0.00006369433,0.000064547,0.0008084222,0.0022592146,0.00058098946,0.0001468886,0.00022111744,0.0016644866,0.010280367],"study_design_scores_gemma":[0.0000118728785,0.00017656451,0.987151,0.00004166245,0.000024231023,0.0010262792,0.009152812,0.00040506097,0.00009338646,0.000060263952,0.0018369043,0.000019875255],"about_ca_topic_score_codex":0.05642563,"about_ca_topic_score_gemma":0.09439482,"teacher_disagreement_score":0.05642563,"about_ca_system_score_codex":0.0032546096,"about_ca_system_score_gemma":0.0016028762,"threshold_uncertainty_score":0.11219442},"labels":[],"label_agreement":null},{"id":"W3036866979","doi":"10.5430/rwe.v11n3p180","title":"Environmental Scanning Practices and Structure: An Empirical Study of Industrial Tunisian Group","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Quality and Management Systems","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":"Sample (material); Exploratory research; Subsidiary; Business; Population; USable; Environmental resource management; Operations management; Marketing; Engineering; Computer science; Multinational corporation; Economics; Sociology; Social science","score_opus":0.2615882759353858,"score_gpt":0.39113430284364886,"score_spread":0.12954602690826306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036866979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997253,0.000016367461,0.000023280807,0.000021213313,4.3219927e-7,0.000007165371,0.0000074559107,3.0028613e-7,0.00019838667],"genre_scores_gemma":[0.9994567,0.00004903775,0.00009769859,0.00001936395,0.0000031287645,0.000014219745,0.000022789454,7.9527297e-7,0.00033633265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988104,0.0004628902,0.00006717267,0.00014571712,0.0002288077,0.00028498264],"domain_scores_gemma":[0.99653924,0.0010594984,0.001230731,0.00019806302,0.0005029688,0.00046947124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018856092,0.0002532008,0.00024405963,0.0013744457,0.001700049,0.0010681729,0.0005157979,0.00046672148,0.003919415],"category_scores_gemma":[0.003795411,0.00023174586,0.00022284132,0.0018107927,0.0010390378,0.00091830554,0.0009757599,0.0004546287,0.00029772051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009456469,0.00090478075,0.8824375,0.00009257183,0.000026053025,0.0008027549,0.09459259,0.00013139729,0.0006536205,0.00034852212,0.00034099777,0.01957461],"study_design_scores_gemma":[0.000010697279,0.0003828082,0.85780036,0.000057355992,0.000018287463,0.00026700387,0.13877822,0.00040166135,0.00028276016,0.00010658283,0.0018841196,0.000010122902],"about_ca_topic_score_codex":0.01837242,"about_ca_topic_score_gemma":0.022800878,"teacher_disagreement_score":0.01837242,"about_ca_system_score_codex":0.0018973436,"about_ca_system_score_gemma":0.0020152559,"threshold_uncertainty_score":0.03653097},"labels":[],"label_agreement":null},{"id":"W3036898098","doi":"10.5430/rwe.v11n3p171","title":"The Influence of Cash Flow Patterns on Random Organizational Development in Nigerian Listed Companies","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Reporting and Valuation Research","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; Business; Stock exchange; Product life-cycle management; Proxy (statistics); Stage (stratigraphy); Marketing; Finance; Biology; Statistics","score_opus":0.09989395148332811,"score_gpt":0.3328926793616143,"score_spread":0.2329987278782862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036898098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998782,0.00010783279,0.000118626485,0.000047767575,0.0000021079015,0.000012016482,0.000059748487,0.0000012475489,0.00086871174],"genre_scores_gemma":[0.9996321,0.00006418422,0.000106070744,0.000005964622,0.0000015365601,0.000004910507,0.000050518007,5.51352e-7,0.00013401618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994821,0.00013577897,0.00006850641,0.00008970788,0.00009218167,0.00013168863],"domain_scores_gemma":[0.99419135,0.0015535838,0.002905444,0.00020324986,0.0006384757,0.00050794036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010521129,0.00012495839,0.000094939336,0.0015764777,0.0005709262,0.0011738312,0.0002116154,0.00018766352,0.0013229506],"category_scores_gemma":[0.0057316213,0.00012420463,0.00015256453,0.0009882918,0.00044589967,0.0008897052,0.0005691295,0.0002157428,0.000103907514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006741191,0.000028712479,0.9884843,0.000016738852,0.000008022738,0.00014839413,0.0011849564,0.00016822189,0.00023292546,0.00027006454,0.00007082895,0.00931944],"study_design_scores_gemma":[0.0000012045551,0.000038429134,0.99611473,0.000020943313,0.0000036981705,0.00005955842,0.0028392216,0.0003033538,0.00010726796,0.00016226925,0.00034544623,0.0000038697585],"about_ca_topic_score_codex":0.008921046,"about_ca_topic_score_gemma":0.017798578,"teacher_disagreement_score":0.008921046,"about_ca_system_score_codex":0.00087223167,"about_ca_system_score_gemma":0.00085142074,"threshold_uncertainty_score":0.017738283},"labels":[],"label_agreement":null},{"id":"W3037042331","doi":"10.5430/rwe.v11n3p293","title":"Economical and Social Effects on Retirement Salaries of Participants and Beneficiaries From the Jordanian Social Security System","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Salary; Social security; Workforce; Demographic economics; Government (linguistics); Poverty; Labour economics; Business; Wage; Private sector; Wages and salaries; Economics; Economic growth","score_opus":0.10940735051584642,"score_gpt":0.297478399942903,"score_spread":0.18807104942705655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037042331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978309,0.0002169035,0.000020701229,0.00034565185,0.000015627838,0.000010474118,0.0003170918,0.0000014480697,0.001241116],"genre_scores_gemma":[0.9983778,0.00017045088,0.000035282235,0.00008877273,0.000025126235,0.000010606811,0.00029260005,0.0000014139554,0.000997973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928373,0.00021999559,0.00006931704,0.00005668855,0.00013938104,0.00023087376],"domain_scores_gemma":[0.99769247,0.0002213021,0.0008608198,0.00006613426,0.0004862447,0.00067311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012985189,0.00020000545,0.0002239837,0.0010041781,0.0010181415,0.0008566297,0.00036279424,0.00034549288,0.004921964],"category_scores_gemma":[0.0043885866,0.00011085509,0.00056239485,0.00073869666,0.0003084786,0.00062891433,0.0013557748,0.00064654485,0.0006268498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022063543,0.00021100778,0.9857816,0.00004511532,0.000049528368,0.00012715129,0.0022013267,0.00004604407,0.00010433854,0.0001460839,0.0006380153,0.010429229],"study_design_scores_gemma":[0.0000045377506,0.00012581835,0.9931785,0.000027030372,0.000015385529,0.000050891962,0.0054162308,0.00006349519,0.000024783112,0.000053873893,0.0010334414,0.0000059392455],"about_ca_topic_score_codex":0.01523986,"about_ca_topic_score_gemma":0.02881782,"teacher_disagreement_score":0.01523986,"about_ca_system_score_codex":0.0007610269,"about_ca_system_score_gemma":0.00093598576,"threshold_uncertainty_score":0.030302346},"labels":[],"label_agreement":null},{"id":"W3037365899","doi":"10.5430/rwe.v11n3p320","title":"Domestic Resource Mobilization and Under-Five Mortality in Nigeria","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, 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":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Revenue; Productivity; Agriculture; Tax revenue; Agricultural economics; Business; Health care; Economics; Agricultural productivity; Economic growth; Public economics; Finance; Geography","score_opus":0.09840718424141079,"score_gpt":0.31019758940932357,"score_spread":0.21179040516791278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037365899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965318,0.0013791774,0.0001882717,0.00027343334,0.00001547366,0.000006454615,0.00024399141,0.0000012925441,0.0013601021],"genre_scores_gemma":[0.9988709,0.0005723003,0.00003677192,0.000017130205,0.000005772918,0.000002851176,0.00011062271,4.4376173e-7,0.00038317312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998228,0.000045189132,0.000018233386,0.000018947432,0.00001545044,0.000079318255],"domain_scores_gemma":[0.9994941,0.0001401748,0.00023556067,0.000013163226,0.000042707135,0.00007433815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034996436,0.00016521409,0.00023421373,0.0006027168,0.00029664612,0.0009418376,0.00015349315,0.00027138586,0.0011949178],"category_scores_gemma":[0.0009806672,0.00010913705,0.0003119715,0.0007220828,0.0002849159,0.00052881293,0.00076701015,0.00044706158,0.0001027827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096319614,0.00007301611,0.985113,0.00007299474,0.00005335237,0.00047087637,0.0005941534,0.0027419573,0.00017056518,0.0028855652,0.00027610522,0.0074521196],"study_design_scores_gemma":[0.0000051716083,0.00018459436,0.9809168,0.0002711328,0.00008632304,0.0003986257,0.0063238377,0.006230473,0.0003843496,0.0017790381,0.003406672,0.0000131356755],"about_ca_topic_score_codex":0.014332517,"about_ca_topic_score_gemma":0.016975734,"teacher_disagreement_score":0.014332517,"about_ca_system_score_codex":0.00091901544,"about_ca_system_score_gemma":0.00082222256,"threshold_uncertainty_score":0.028498173},"labels":[],"label_agreement":null},{"id":"W3037551080","doi":"10.5430/rwe.v11n3p261","title":"Personal Income Tax Compliance in Nigeria: A Generalised Ordered Logistic Regression","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Bangladesh Agricultural University Research System","keywords":"Logistic regression; Compliance (psychology); Public economics; Economics; State income tax; Personal income; Regression analysis; Empirical research; Value-added tax; Business; Tax reform; Econometrics; Demographic economics; Actuarial science; Psychology; Economic growth; Social psychology; Statistics","score_opus":0.32094227083564886,"score_gpt":0.3711748439245385,"score_spread":0.05023257308888962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037551080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821862,0.0010055455,0.010010809,0.0012801273,0.00012338161,0.000116002724,0.0010697,0.00013532068,0.0040728054],"genre_scores_gemma":[0.99533904,0.00046756887,0.0020345433,0.000041527444,0.000025003337,0.000041089927,0.0005542503,0.000022085957,0.00147492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969228,0.0019172262,0.0002157503,0.00040117497,0.00027352214,0.00026949786],"domain_scores_gemma":[0.98354477,0.012360614,0.0021407162,0.0008674169,0.0007052258,0.00038122997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005434484,0.00068361213,0.0008230311,0.0018671715,0.0007189377,0.002019824,0.0010560427,0.00076915586,0.004642057],"category_scores_gemma":[0.021802863,0.00044347136,0.0017921551,0.002623001,0.00073006627,0.001460719,0.001336842,0.0023524517,0.0008910648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033785042,0.00016714397,0.95753425,0.00013834327,0.0006421245,0.001301623,0.0008889453,0.0098665515,0.00014447706,0.0026503257,0.0017759877,0.024552317],"study_design_scores_gemma":[0.00006752669,0.00068973587,0.6171464,0.0007065634,0.0013022468,0.002373475,0.0072997026,0.35269162,0.00035165992,0.010270117,0.0069560483,0.00014480777],"about_ca_topic_score_codex":0.031321645,"about_ca_topic_score_gemma":0.013984447,"teacher_disagreement_score":0.031321645,"about_ca_system_score_codex":0.00069938053,"about_ca_system_score_gemma":0.0013394419,"threshold_uncertainty_score":0.062278688},"labels":[],"label_agreement":null},{"id":"W3037834279","doi":"10.5430/rwe.v11n3p311","title":"Improving the Efficiency of an Industrial Enterprise Due to the Architectural Approach to a Complex Information Management System","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Technological Systems 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":"Productivity; Production (economics); Quality (philosophy); Business; Architecture; Enterprise information system; Enterprise architecture; Information system; Process management; Industrial organization; Computer science; Engineering management; Knowledge management; Engineering; Economics","score_opus":0.08305246384316008,"score_gpt":0.2614448884441358,"score_spread":0.17839242460097576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037834279","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":[0.21486513,0.0047021676,0.5211591,0.008779019,0.00014237026,0.00028557537,0.00017079429,0.0016867277,0.24820916],"genre_scores_gemma":[0.82034683,0.0033063549,0.16460055,0.00039779785,0.00013052602,0.000110716974,0.00017394983,0.00016190915,0.010771393],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980551,0.0006691492,0.00012472914,0.00015382646,0.00086197245,0.00013527437],"domain_scores_gemma":[0.9984092,0.0005611166,0.00017452179,0.00039806752,0.0003571957,0.00009997467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016063643,0.00040209078,0.00023498209,0.001526316,0.00080585363,0.0058786357,0.0005363636,0.0005912889,0.002211804],"category_scores_gemma":[0.0038053636,0.00022517725,0.00024473583,0.0019660813,0.0018037801,0.0037865369,0.0015145196,0.00063362496,0.00086812954],"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":[0.00007362042,0.0001648974,0.0093084015,0.0005206898,0.00009910887,0.00022719674,0.0024596804,0.037369464,0.017825944,0.5752515,0.008390915,0.3483086],"study_design_scores_gemma":[0.000084981046,0.00033544598,0.032518532,0.0005621363,0.00020602094,0.0007123218,0.0023377994,0.1418786,0.012259666,0.4832185,0.32575545,0.00013059122],"about_ca_topic_score_codex":0.0016003471,"about_ca_topic_score_gemma":0.001459091,"teacher_disagreement_score":0.0058786357,"about_ca_system_score_codex":0.0013441925,"about_ca_system_score_gemma":0.0024786182,"threshold_uncertainty_score":0.00975281},"labels":[],"label_agreement":null},{"id":"W3038042574","doi":"10.5430/rwe.v11n3p284","title":"Households Health Status in Saudi Arabia: Spatial Distribution and Association With Socioeconomic Factors","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Spatial and Panel Data 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":"Socioeconomic status; Geography; Demography; Spatial analysis; Population; Environmental health; Medicine; Sociology","score_opus":0.09169837142038517,"score_gpt":0.2985699387529565,"score_spread":0.20687156733257134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038042574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989229,0.00023313393,0.00015240588,0.000075919204,0.0000028380255,0.000003394004,0.00027566624,0.000001839974,0.00033186053],"genre_scores_gemma":[0.9995926,0.00008640024,0.000056748217,0.0000060317466,0.0000025392262,0.0000019150805,0.00017307287,5.820676e-7,0.000080093094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994079,0.00025694206,0.000058577923,0.0000951955,0.00008289285,0.00009839584],"domain_scores_gemma":[0.9978284,0.0006784846,0.0007380775,0.00016080611,0.00040733468,0.00018690732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008557375,0.0002426309,0.00021046524,0.0011704842,0.00029780963,0.00072398945,0.0003140482,0.00027574354,0.0019709133],"category_scores_gemma":[0.0032752808,0.00013493357,0.00040672737,0.0020221341,0.00037883577,0.0004347764,0.0007903343,0.0002644793,0.00023599897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055038206,0.000014902629,0.99608886,0.000013462684,0.00006624076,0.00006366655,0.00038076018,0.00030300417,0.0000846968,0.00015827506,0.00009425706,0.0026767708],"study_design_scores_gemma":[0.0000025121444,0.000031944546,0.99559337,0.000016902071,0.000030145975,0.00010448862,0.0017809262,0.00195574,0.000053393884,0.00011897204,0.0003058354,0.0000057579064],"about_ca_topic_score_codex":0.05525438,"about_ca_topic_score_gemma":0.036847048,"teacher_disagreement_score":0.05525438,"about_ca_system_score_codex":0.00061293185,"about_ca_system_score_gemma":0.00038417923,"threshold_uncertainty_score":0.10986549},"labels":[],"label_agreement":null},{"id":"W3039363054","doi":"10.5430/rwe.v11n3p333","title":"Municipal Consumer Debt in South African Municipalities: Contexts, Causes, and Realities","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Taxation and Compliance Studies","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":"Payment; Business; Entitlement (fair division); Debt; Service (business); Qualitative research; Municipal services; Outreach; Poverty; Marketing; Finance; Economic growth; Economics; Public administration; Political science; Sociology","score_opus":0.19771577622109449,"score_gpt":0.3360369309357299,"score_spread":0.1383211547146354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039363054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970776,0.00047784144,0.000026814534,0.0008573457,0.00000430437,0.000008634934,0.000026806558,8.611819e-7,0.0015198439],"genre_scores_gemma":[0.9991979,0.00043255338,0.000027890057,0.000051756833,0.000003430295,0.0000062619106,0.000013473959,7.417288e-7,0.00026593255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986481,0.0006182869,0.000080032834,0.00008264314,0.00013930672,0.0004316733],"domain_scores_gemma":[0.9968382,0.000981801,0.0013752554,0.000088544,0.00024654716,0.00046961926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012005612,0.00017290855,0.00033083014,0.001412797,0.004711312,0.0027562317,0.00040527352,0.00060877297,0.0030171818],"category_scores_gemma":[0.005332838,0.0003349884,0.00017431664,0.004356769,0.0027774242,0.0016116027,0.0034756218,0.0009810542,0.000086433516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001490176,0.00013572347,0.6078063,0.000525082,0.00004176957,0.0076285764,0.34242377,0.00020079048,0.00049762375,0.012395035,0.0020321764,0.026164113],"study_design_scores_gemma":[0.0000047193566,0.000040236137,0.33791056,0.00036631234,0.000016883701,0.00083873834,0.6517333,0.0001643728,0.00009998356,0.00091871293,0.00788807,0.000018200355],"about_ca_topic_score_codex":0.06265429,"about_ca_topic_score_gemma":0.12562302,"teacher_disagreement_score":0.06265429,"about_ca_system_score_codex":0.006187686,"about_ca_system_score_gemma":0.0047231074,"threshold_uncertainty_score":0.12457919},"labels":[],"label_agreement":null},{"id":"W3049048550","doi":"10.5430/rwe.v11n4p53","title":"Motivation Mechanism for Stimulating the Labor Potential","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Business and Economic Development","field":"Environmental Science","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":"Pairwise comparison; Consistency (knowledge bases); Work (physics); Work motivation; Quality (philosophy); Mechanism (biology); Rank (graph theory); Spearman's rank correlation coefficient; Psychology; Internal consistency; Reliability (semiconductor); Social psychology; Computer science; Mathematics; Engineering; Psychometrics","score_opus":0.09443816338299901,"score_gpt":0.30480720999842453,"score_spread":0.21036904661542552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049048550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.797407,0.0049147056,0.04381147,0.006386949,0.00057476317,0.0004601378,0.0002843692,0.0002617792,0.14589898],"genre_scores_gemma":[0.98452616,0.00088296155,0.005096193,0.00028699153,0.00010206946,0.00016711421,0.00005496691,0.000019903673,0.008863607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991497,0.00028605413,0.000028855691,0.00012324301,0.00019070183,0.00022144047],"domain_scores_gemma":[0.998292,0.000593879,0.00029907812,0.000088099616,0.00026465286,0.00046222727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013671252,0.000382242,0.00027093393,0.00110853,0.0008487869,0.0017733697,0.00060318253,0.0009904522,0.012095484],"category_scores_gemma":[0.0029643364,0.00020255755,0.00076271896,0.00039608745,0.0011256406,0.0009707327,0.0013399618,0.00063525327,0.0011188634],"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":[0.0014050874,0.002254053,0.075568214,0.0022082347,0.00030223274,0.0032744117,0.009705006,0.003643171,0.11767722,0.52203643,0.008214371,0.25371158],"study_design_scores_gemma":[0.0010086572,0.0055950726,0.43410224,0.0014591882,0.0005132988,0.0048140404,0.010058968,0.020318924,0.04466238,0.3416281,0.13542508,0.00041402216],"about_ca_topic_score_codex":0.00042091412,"about_ca_topic_score_gemma":0.00034240767,"teacher_disagreement_score":0.012095484,"about_ca_system_score_codex":0.0007536397,"about_ca_system_score_gemma":0.0013608381,"threshold_uncertainty_score":0.040463388},"labels":[],"label_agreement":null},{"id":"W3049157319","doi":"10.5430/rwe.v11n4p16","title":"Institutional Foundations of Ukraine’s Transition to the Green Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Business Development 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":"Legislation; Environmental security; Environmental quality; Economic system; Business; Green economy; Environmental law; Social security; Natural resource economics; Economic policy; Economics; Political science; Market economy; Sustainable development; Law","score_opus":0.20934662214330146,"score_gpt":0.3213441351589351,"score_spread":0.11199751301563365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049157319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89045435,0.0012439813,0.0036909827,0.0041377833,0.000027986829,0.000026787684,0.00013257355,0.00003466954,0.10025094],"genre_scores_gemma":[0.99881315,0.00013817086,0.00018306483,0.000038866765,0.0000028727252,0.0000032682888,0.0000120845825,0.0000019250033,0.0008066695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993125,0.00021161152,0.000045593522,0.00009439399,0.00010433267,0.0002315408],"domain_scores_gemma":[0.99911195,0.00019036957,0.00030014754,0.000091829956,0.0001592373,0.00014642456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000829907,0.00006665376,0.00018018995,0.0008941848,0.0016781689,0.0038820454,0.0003043529,0.00039215747,0.0021446631],"category_scores_gemma":[0.002001719,0.00014583324,0.000264475,0.00069377664,0.0034674713,0.0011390542,0.00291523,0.0006835701,0.00012239312],"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":[0.000029428738,0.000022212897,0.014442662,0.00004584754,0.000028820756,0.00061897875,0.003837893,0.0054870965,0.00049190584,0.9659433,0.0006893971,0.008362439],"study_design_scores_gemma":[0.000049982704,0.00010207806,0.24121384,0.0004417536,0.000119922515,0.00081579085,0.021541838,0.018857898,0.002099009,0.5889459,0.12572739,0.000084596075],"about_ca_topic_score_codex":0.026916232,"about_ca_topic_score_gemma":0.019101888,"teacher_disagreement_score":0.026916232,"about_ca_system_score_codex":0.0068801693,"about_ca_system_score_gemma":0.0063490453,"threshold_uncertainty_score":0.05351913},"labels":[],"label_agreement":null},{"id":"W3049198434","doi":"10.5430/rwe.v11n4p62","title":"Global Transformation of Employment as a Factor of Country’s Labor Market Development","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Enterprise Management and Information Systems","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":"Economics; Economic system; Technological change; Labor relations; Intellectualization; Market economy; Labour economics; Business","score_opus":0.06212481113346992,"score_gpt":0.30909214519612116,"score_spread":0.24696733406265126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049198434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7720721,0.0037273343,0.002775372,0.007097935,0.0002357339,0.00006687973,0.001737026,0.00007528991,0.21221244],"genre_scores_gemma":[0.99444914,0.0010872806,0.0003624132,0.00013199876,0.00005643829,0.00001363914,0.0002537473,0.000010656326,0.0036346563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961734,0.00006489737,0.000018086743,0.00006213942,0.000092996655,0.00014450839],"domain_scores_gemma":[0.99948514,0.00009221765,0.00012628974,0.000030642583,0.00014623777,0.00011944622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004376015,0.00014411715,0.0001333676,0.0010003682,0.00074371777,0.0024530804,0.00021795489,0.0002914131,0.006460627],"category_scores_gemma":[0.0009621607,0.000066742294,0.00025420825,0.0023816957,0.0008045581,0.001141115,0.001237388,0.00064900354,0.0004149869],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001498289,0.00019540553,0.5496681,0.00047036022,0.00013344549,0.0023854012,0.01175987,0.0035911421,0.002138252,0.20000876,0.023435134,0.20606428],"study_design_scores_gemma":[0.000008295814,0.00010626423,0.8121071,0.00027026093,0.000049345635,0.00065989746,0.019905524,0.0018971933,0.0007819462,0.016930118,0.1472431,0.000041006075],"about_ca_topic_score_codex":0.00694787,"about_ca_topic_score_gemma":0.006962332,"teacher_disagreement_score":0.00694787,"about_ca_system_score_codex":0.0012484529,"about_ca_system_score_gemma":0.001224764,"threshold_uncertainty_score":0.021613002},"labels":[],"label_agreement":null},{"id":"W3049211401","doi":"10.5430/rwe.v11n4p1","title":"The Impact of Globalization and International Tax Competition on Tax Policies","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","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":"Globalization; Economics; Tax competition; Value-added tax; Indirect tax; Tax reform; Direct tax; Double taxation; Economic policy; International economics; Economic system; Market economy; Public economics","score_opus":0.11741468093992458,"score_gpt":0.3502955478952984,"score_spread":0.2328808669553738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049211401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9350516,0.001212415,0.0011061643,0.00096857507,0.000033862732,0.000025453704,0.0001864128,0.000015571146,0.061400004],"genre_scores_gemma":[0.9986325,0.00017528581,0.00008233293,0.000048721555,0.000009139627,0.0000032067996,0.00003517998,0.0000030631788,0.0010105905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978897,0.0009982759,0.00009166515,0.00019419008,0.0003324218,0.0004937997],"domain_scores_gemma":[0.99594986,0.0013039174,0.001531729,0.00021034766,0.0005885085,0.00041559013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017022588,0.00015463386,0.0003363544,0.000824668,0.0006010832,0.0028362602,0.00022446495,0.00038733947,0.0047311997],"category_scores_gemma":[0.0053445534,0.000116135525,0.0003303747,0.0012271111,0.0010512513,0.0011190418,0.0011648946,0.0005389631,0.00032054816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008474396,0.00041480767,0.55494547,0.00024109748,0.00033293373,0.001679151,0.0032539538,0.048673417,0.0028972854,0.31243625,0.0028342404,0.071443945],"study_design_scores_gemma":[0.00006550407,0.00048431195,0.8908376,0.00033414355,0.00016556472,0.00077016593,0.006121448,0.01715189,0.0028048868,0.045421045,0.035763748,0.00007963194],"about_ca_topic_score_codex":0.011997341,"about_ca_topic_score_gemma":0.008668566,"teacher_disagreement_score":0.011997341,"about_ca_system_score_codex":0.003112343,"about_ca_system_score_gemma":0.003043639,"threshold_uncertainty_score":0.02385503},"labels":[],"label_agreement":null},{"id":"W3049247109","doi":"10.5430/rwe.v11n4p72","title":"Price Transmission Among the Participants of the Livestock Products Agrofood Chain in Ukraine","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological 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":"Livestock; Product (mathematics); Production (economics); Distribution (mathematics); Agriculture; Economics; Chain (unit); Agricultural economics; Econometrics; Industrial organization; Business; Microeconomics; Geography","score_opus":0.0864342503988794,"score_gpt":0.28657290181475553,"score_spread":0.2001386514158761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049247109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988142,0.0000368413,0.00026409395,0.000024755056,9.2253083e-7,0.000002625115,0.0000271759,0.0000018108949,0.0008275537],"genre_scores_gemma":[0.9993229,0.00004042244,0.00017779651,0.0000027226804,0.0000011241195,0.0000012053936,0.000027499544,7.788323e-7,0.00042564172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973243,0.000076427015,0.00001757508,0.000056653134,0.00006939103,0.00004758985],"domain_scores_gemma":[0.99951184,0.00017505662,0.0001779538,0.000027278938,0.000081263985,0.000026581587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046011264,0.00007913812,0.0001217111,0.000519646,0.00038093494,0.00081501954,0.000237491,0.00017389099,0.0014024043],"category_scores_gemma":[0.0011391015,0.00009460271,0.00011808675,0.00056648464,0.0002458936,0.0005613364,0.00051876757,0.00021207616,0.00012191518],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003408379,0.00015411356,0.88678336,0.00008315571,0.00008851507,0.0026534132,0.020623235,0.003947206,0.009580273,0.012239499,0.00045484796,0.06305154],"study_design_scores_gemma":[0.000004539866,0.00019202812,0.9613406,0.000017787688,0.000035727207,0.000660352,0.015616133,0.012989197,0.0023988711,0.002425814,0.0043052104,0.000013649017],"about_ca_topic_score_codex":0.007212714,"about_ca_topic_score_gemma":0.0056291437,"teacher_disagreement_score":0.007212714,"about_ca_system_score_codex":0.0007496529,"about_ca_system_score_gemma":0.00042213692,"threshold_uncertainty_score":0.014341474},"labels":[],"label_agreement":null},{"id":"W3049261012","doi":"10.5430/rwe.v11n4p23","title":"Impact of Price Reduction Sensitivity on Brand Switching and Storage: The Case of Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Consumer Market Behavior and Pricing","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":"Purchasing; Sensitivity (control systems); Reduction (mathematics); Order (exchange); Sample (material); Business; Marketing; Advertising; Economics; Mathematics; Finance; Engineering","score_opus":0.07223843203729485,"score_gpt":0.3387361248846495,"score_spread":0.26649769284735464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049261012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981279,0.00006108849,0.000049164126,0.00018887111,0.0000015116086,0.0000038131623,0.000009146463,9.459378e-7,0.0015575093],"genre_scores_gemma":[0.9992907,0.00010959057,0.000060512426,0.00002045106,0.000001738295,6.386225e-7,0.0000074339723,8.99138e-7,0.00050795276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996113,0.00015736336,0.000015882637,0.000022609047,0.00006967059,0.00012316268],"domain_scores_gemma":[0.9982685,0.0007853973,0.00027583452,0.000080888494,0.00038202008,0.00020731996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008894345,0.00017347532,0.00015629383,0.00062302896,0.001686603,0.0015818065,0.00052212825,0.0009401879,0.0029222867],"category_scores_gemma":[0.0020995692,0.0001417571,0.0002759584,0.00058693375,0.0009930956,0.00073026144,0.0007389164,0.0006690829,0.00024166466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015332508,0.0021661052,0.7261955,0.00031577476,0.00018718638,0.058782,0.08807083,0.008622736,0.008902361,0.025707763,0.002566385,0.07695017],"study_design_scores_gemma":[0.00011324523,0.0008457102,0.62873006,0.0001979065,0.00028056785,0.009502253,0.2981259,0.030284574,0.0060281563,0.004255581,0.021481682,0.0001543152],"about_ca_topic_score_codex":0.15139878,"about_ca_topic_score_gemma":0.11413567,"teacher_disagreement_score":0.15139878,"about_ca_system_score_codex":0.002707734,"about_ca_system_score_gemma":0.001399443,"threshold_uncertainty_score":0.3010351},"labels":[],"label_agreement":null},{"id":"W3049318312","doi":"10.5430/rwe.v11n4p33","title":"Casual Nexus Between Dynamics of Population and Food Security: Economic Benchmarks for Agriculture","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture Market Analysis Ukraine","field":"Agricultural and Biological 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":"Food security; Agriculture; Population; Nexus (standard); Per capita; Population growth; Casual; Economics; Population size; Agricultural economics; Food systems; Demographic economics; Development economics; Geography; Demography; Political science; Computer science","score_opus":0.04629842818277118,"score_gpt":0.2905770200250603,"score_spread":0.24427859184228912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049318312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96595365,0.0023244196,0.0055627986,0.002142,0.000047999594,0.000019466914,0.0013299441,0.000029579362,0.02259018],"genre_scores_gemma":[0.998447,0.0002648303,0.00052079785,0.000022456945,0.000010949277,0.0000067605624,0.0002869567,0.0000042201946,0.00043610885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960786,0.0001345391,0.000028567985,0.000091755406,0.000068554116,0.00006872889],"domain_scores_gemma":[0.9991627,0.00025777819,0.00029195865,0.00006493836,0.00016570039,0.000057003253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007664648,0.00015139954,0.00022838124,0.0012070565,0.00034394796,0.0020147583,0.000300643,0.00026703792,0.0025557142],"category_scores_gemma":[0.0027447285,0.0000888378,0.00019187316,0.0014376115,0.0004356648,0.0016603882,0.0011435726,0.00048863434,0.0001718725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021102373,0.00009475984,0.7559037,0.00034879835,0.00016050134,0.00078077405,0.0027165092,0.021825872,0.0014068792,0.12423314,0.0045983153,0.08771978],"study_design_scores_gemma":[0.0000063134908,0.00010735918,0.88529336,0.00027271864,0.000055034303,0.0004058128,0.007912016,0.032812938,0.0008646275,0.053919483,0.018316092,0.00003427203],"about_ca_topic_score_codex":0.0068876287,"about_ca_topic_score_gemma":0.0068254126,"teacher_disagreement_score":0.0068876287,"about_ca_system_score_codex":0.0011437977,"about_ca_system_score_gemma":0.00080748316,"threshold_uncertainty_score":0.013695061},"labels":[],"label_agreement":null},{"id":"W3049595407","doi":"10.5430/rwe.v11n4p42","title":"Improving the Classification of Digital Marketing Tools for the Industrial Goods Promotion in the Globalization Context","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Sustainability and Innovation in Business","field":"Business, Management and Accounting","cited_by":42,"is_retracted":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; Digital marketing; Context (archaeology); Mediation; Promotion (chess); Marketing; Goods and services; Data science; Business; Economics; World Wide Web; Sociology; Political science","score_opus":0.25052500876993794,"score_gpt":0.34221886666996604,"score_spread":0.0916938579000281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049595407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67397344,0.0053050565,0.1373965,0.0042239367,0.0007791577,0.002300173,0.0014619714,0.00045462127,0.17410512],"genre_scores_gemma":[0.8749272,0.0012103097,0.11764784,0.00023118053,0.00011502498,0.00055898627,0.0008582045,0.00005449295,0.004396654],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948894,0.0020281025,0.0006327668,0.00034653157,0.0017063535,0.00039697337],"domain_scores_gemma":[0.9875113,0.0048990734,0.0016712401,0.0016461124,0.0036999753,0.00057233946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004134131,0.00082327233,0.0005432731,0.012658959,0.0016949904,0.0075060716,0.0010680198,0.0012873576,0.005195206],"category_scores_gemma":[0.0172693,0.00015224236,0.0011402467,0.010670759,0.002246871,0.007864159,0.0022795203,0.0012734951,0.00096619996],"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":[0.00041750108,0.0005474686,0.11809549,0.0011790043,0.00010360372,0.00040089505,0.008502289,0.0022060755,0.006592972,0.17388484,0.005106783,0.6829632],"study_design_scores_gemma":[0.00013240801,0.0009279115,0.47259918,0.0031805662,0.00057180866,0.001270349,0.046929184,0.05104494,0.008980918,0.17679195,0.2372733,0.00029746178],"about_ca_topic_score_codex":0.003545922,"about_ca_topic_score_gemma":0.00298346,"teacher_disagreement_score":0.012658959,"about_ca_system_score_codex":0.0029855245,"about_ca_system_score_gemma":0.0031419576,"threshold_uncertainty_score":0.02186364},"labels":[],"label_agreement":null},{"id":"W3049703011","doi":"10.5430/rwe.v11n4p81","title":"The Consequences of the Military Conflict in Eastern Ukraine, Its Impact on International Investment Attractiveness, Economic and Demographic Development in Ukraine","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Issues in Ukraine","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":"Population; Development economics; Context (archaeology); Attractiveness; Geopolitics; Investment (military); Economic policy; Political science; Economic growth; Economics; Geography; Politics","score_opus":0.12221985855686618,"score_gpt":0.3479003632107597,"score_spread":0.2256805046538935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049703011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991647,0.0009498312,0.00003621139,0.00071207795,0.000012431746,0.0000034692473,0.00016976269,0.000002363203,0.006466877],"genre_scores_gemma":[0.99784267,0.0009817422,0.000034336575,0.00006286529,0.000006700063,0.000002346186,0.00010753091,0.000001461185,0.00096035225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985695,0.00003192499,0.000014117724,0.000015858337,0.000027434351,0.000053723892],"domain_scores_gemma":[0.99982554,0.00001727572,0.00006262788,0.000004131805,0.000038017806,0.00005246267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019425168,0.00008755258,0.000117719,0.00045562023,0.0007473614,0.0012966068,0.00011969498,0.00012754751,0.0011100459],"category_scores_gemma":[0.00037179585,0.00006114322,0.00010279917,0.000643827,0.0004061514,0.00033871003,0.0008595453,0.00033741136,0.00011568679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097114964,0.000100540885,0.919896,0.00020892442,0.00008867263,0.004770609,0.013997693,0.0020609356,0.0013859269,0.010520705,0.0035001691,0.043372683],"study_design_scores_gemma":[0.0000015397093,0.000027363198,0.9706392,0.00009561823,0.000012265715,0.0005951808,0.015541248,0.0002696963,0.0001738582,0.000503969,0.012131954,0.0000080353575],"about_ca_topic_score_codex":0.040764045,"about_ca_topic_score_gemma":0.04146573,"teacher_disagreement_score":0.040764045,"about_ca_system_score_codex":0.0013358848,"about_ca_system_score_gemma":0.0016730186,"threshold_uncertainty_score":0.081053495},"labels":[],"label_agreement":null},{"id":"W3083002145","doi":"10.5430/rwe.v11n5p246","title":"Factors Affecting Product Supply in the Domestic Agrarian Market in Azerbaijan","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Socioeconomic and Political Dynamics","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; Agrarian society; Cointegration; Domestic market; Unit root; Econometric model; Agriculture; Product (mathematics); Unit root test; Volatility (finance); Econometrics; International trade; Mathematics","score_opus":0.1225535228345106,"score_gpt":0.33457438399224165,"score_spread":0.21202086115773106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083002145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979626,0.0002806831,0.00007443365,0.000112205315,0.0000023405007,0.000004556883,0.0000667231,0.000002971281,0.0014934145],"genre_scores_gemma":[0.99890816,0.00028326976,0.00011752492,0.00001448524,0.000005312904,0.0000017503297,0.00007243808,9.0777854e-7,0.00059614703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985063,0.00003368613,0.000009896442,0.00002352429,0.000040483304,0.00004174011],"domain_scores_gemma":[0.9997372,0.00009629848,0.000091580354,0.0000068554386,0.00003993938,0.000028142995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024087702,0.00010501978,0.00017948843,0.0008644497,0.00032694783,0.00096590084,0.00015523292,0.00019411338,0.0018317045],"category_scores_gemma":[0.00045536231,0.00007213895,0.00012453028,0.0014007884,0.0003070163,0.00043200614,0.00025611336,0.00018913041,0.0001757315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019240963,0.00028087402,0.92730093,0.00020767412,0.000057392874,0.003232509,0.0036753921,0.004318401,0.008090102,0.006755992,0.0014004582,0.04448786],"study_design_scores_gemma":[0.0000063354973,0.00008113343,0.98188144,0.000026641459,0.000018767825,0.00027813748,0.0075568585,0.0041964254,0.00068117015,0.0007651294,0.0044973013,0.000010731252],"about_ca_topic_score_codex":0.014618396,"about_ca_topic_score_gemma":0.019437863,"teacher_disagreement_score":0.014618396,"about_ca_system_score_codex":0.0010279601,"about_ca_system_score_gemma":0.0006081501,"threshold_uncertainty_score":0.029066622},"labels":[],"label_agreement":null},{"id":"W3083010539","doi":"10.5430/rwe.v11n5p72","title":"Financialization of Non-financial Industries, United States, 1980-2006","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing, Finance, and Neoliberalism","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":"Financialization; Profitability index; Explanatory power; Economics; Revenue; Financial economics; Business; Finance","score_opus":0.09325740423329064,"score_gpt":0.29503430311278694,"score_spread":0.2017768988794963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083010539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620065,0.0011099151,0.00015693638,0.00036937871,0.000026579975,0.00002908302,0.03043541,0.00003164413,0.005834524],"genre_scores_gemma":[0.955874,0.0014820735,0.00034331277,0.00012405048,0.00003980535,0.000036118414,0.037825532,0.000008536689,0.0042665866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997609,0.0000243447,0.000030088737,0.000045349396,0.00007432865,0.000064970234],"domain_scores_gemma":[0.9974673,0.00014189444,0.0016269761,0.000058190508,0.00045635956,0.00024921022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038481632,0.0002772046,0.00015066161,0.0019511916,0.00041040074,0.00088236167,0.00040368218,0.00023273587,0.0017776671],"category_scores_gemma":[0.0016171463,0.00011867305,0.00019408246,0.0031217113,0.00022966169,0.00066835794,0.000616814,0.00053803023,0.00038952252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079741316,0.000094107556,0.97975916,0.00005752295,0.00003302043,0.00006169587,0.00035989852,0.00043425552,0.00012894222,0.0003775926,0.0073983143,0.011215747],"study_design_scores_gemma":[0.0000019918189,0.00001597683,0.99672157,0.000012850641,0.0000055438845,0.000038475508,0.00035094545,0.00012484506,0.00009130838,0.000030250447,0.002604178,0.0000020376303],"about_ca_topic_score_codex":0.10841405,"about_ca_topic_score_gemma":0.20576523,"teacher_disagreement_score":0.10841405,"about_ca_system_score_codex":0.001421357,"about_ca_system_score_gemma":0.00090310944,"threshold_uncertainty_score":0.21556604},"labels":[],"label_agreement":null},{"id":"W3083041704","doi":"10.5430/rwe.v11n5p1","title":"Determinants of Thai Baht Exchange Rate and Asian Currencies Exchange Rate","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Monetary Policy and Economic Impact","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":"Depreciation (economics); Exchange rate; Economics; Per capita income; Per capita; Error correction model; Foreign-exchange reserves; Econometrics; Effective exchange rate; Interest rate; Value (mathematics); Monetary economics; Macroeconomics; Cointegration; Statistics; Mathematics; Economic growth; Population","score_opus":0.2856087353891775,"score_gpt":0.340131971462047,"score_spread":0.05452323607286946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083041704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98250765,0.0005716453,0.0007854039,0.0007742685,0.000052158386,0.000018604562,0.0005783142,0.000015390811,0.014696616],"genre_scores_gemma":[0.99739873,0.00033298813,0.00011772855,0.000027872806,0.000030170013,0.000007431305,0.0003207971,0.0000032471442,0.001761047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972564,0.000065337896,0.00003396892,0.000035685556,0.00007293182,0.00006646333],"domain_scores_gemma":[0.9977825,0.00067851914,0.0008988283,0.00005623884,0.00032360287,0.0002602194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044969123,0.00020252587,0.0001698703,0.000567766,0.000259222,0.0016548951,0.000119484015,0.00021544822,0.00583165],"category_scores_gemma":[0.0028445907,0.000084190346,0.00024612393,0.0011648202,0.00019435653,0.00048079377,0.00029200772,0.0005599273,0.00046058744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104955245,0.00008697868,0.96688956,0.000116704665,0.000099347366,0.0015741517,0.0011329893,0.0031435748,0.0007466976,0.007507351,0.0028461434,0.015751466],"study_design_scores_gemma":[0.000010907041,0.000091382164,0.975684,0.000080008125,0.00010456185,0.0006694808,0.0036480604,0.012242855,0.0003207178,0.002017873,0.0051089693,0.00002122626],"about_ca_topic_score_codex":0.011772738,"about_ca_topic_score_gemma":0.0075001633,"teacher_disagreement_score":0.011772738,"about_ca_system_score_codex":0.00034298268,"about_ca_system_score_gemma":0.0006455948,"threshold_uncertainty_score":0.023408473},"labels":[],"label_agreement":null},{"id":"W3083073839","doi":"10.5430/rwe.v11n5p259","title":"Determinants of Profitability in Micro-enterprises Incorporated by Migrants in“Mercardo Artesanal”, Guayaquil-Ecuador","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration, Ethnicity, and Economy","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":"Profitability index; Index (typography); Business; Socioeconomic status; Composite index; Composite indicator; Finance; Population; Financial system; Sociology","score_opus":0.08879768823493644,"score_gpt":0.3814739383584732,"score_spread":0.29267625012353676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083073839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999798,0.00003255764,0.000006957254,0.00001746795,6.971976e-7,0.000001212961,0.000017293341,2.577541e-7,0.00012560477],"genre_scores_gemma":[0.9996973,0.000050514653,0.00001939114,0.0000055022524,0.0000011509417,0.0000033433405,0.000037641075,2.689735e-7,0.00018486675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988914,0.000034348377,0.00000917432,0.000016096119,0.0000119563965,0.00003929121],"domain_scores_gemma":[0.99954396,0.0000889905,0.00020695056,0.0000158382,0.00006532047,0.000078940066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025176967,0.00016741458,0.00011207047,0.00042249702,0.0003261101,0.0005663292,0.00020196819,0.00015645978,0.0011978687],"category_scores_gemma":[0.0009768496,0.000059134625,0.00010186978,0.0003970465,0.00019465807,0.00027586106,0.00036012675,0.00018377809,0.000098319106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004563215,0.0000616862,0.9921279,0.000015922347,0.0000115182975,0.00039736746,0.0018541873,0.00003983771,0.00029397008,0.000053768734,0.00012380892,0.0049744174],"study_design_scores_gemma":[0.0000010522397,0.0000319132,0.9927941,0.000012560142,0.000004836975,0.0000846498,0.00662424,0.000068618145,0.000050154158,0.000010771163,0.00031540185,0.0000016757288],"about_ca_topic_score_codex":0.016721623,"about_ca_topic_score_gemma":0.029194748,"teacher_disagreement_score":0.016721623,"about_ca_system_score_codex":0.00031769986,"about_ca_system_score_gemma":0.00018281004,"threshold_uncertainty_score":0.033248603},"labels":[],"label_agreement":null},{"id":"W3083074795","doi":"10.5430/rwe.v11n5p100","title":"Mediating Effect of Social Media Marketing Adoption Towards Business Performance: An Approach of Structural Equation Modelling Partial Least Square (SEM-PLS)","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Structural equation modeling; Social media; Business; Marketing; Competitive advantage; Government (linguistics); Small and medium-sized enterprises; Knowledge management; Resource (disambiguation); USable; Computer science","score_opus":0.137099406335513,"score_gpt":0.36203637710842856,"score_spread":0.22493697077291555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083074795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646561,0.00031670116,0.028209055,0.00091982476,0.000090348345,0.0008837887,0.0009972089,0.00015202531,0.0037749764],"genre_scores_gemma":[0.97569036,0.00024256975,0.020909537,0.00010097483,0.000019642785,0.0012887509,0.0005264817,0.000020434321,0.0012011969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945462,0.003600477,0.00036804378,0.0006218249,0.00052269554,0.00034082422],"domain_scores_gemma":[0.991091,0.0070591085,0.00073709345,0.00025074586,0.00067483314,0.00018723612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007677844,0.0012952215,0.0011670891,0.0020163965,0.0010811512,0.0024175835,0.0016972156,0.0012584092,0.0057705212],"category_scores_gemma":[0.01204295,0.0008455173,0.0027178288,0.0018053829,0.0010542711,0.0016379951,0.002057767,0.0021063567,0.00049897947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058730284,0.0024785502,0.83421016,0.0013115251,0.00268439,0.0015745972,0.023865305,0.03008685,0.002799089,0.01906141,0.003344507,0.077996224],"study_design_scores_gemma":[0.00033078756,0.004823444,0.3481023,0.0013843597,0.003243549,0.0006200513,0.032540128,0.5751665,0.005381934,0.017237058,0.0108555285,0.00031431587],"about_ca_topic_score_codex":0.01226697,"about_ca_topic_score_gemma":0.008335286,"teacher_disagreement_score":0.01226697,"about_ca_system_score_codex":0.0014367137,"about_ca_system_score_gemma":0.005283574,"threshold_uncertainty_score":0.04060477},"labels":[],"label_agreement":null},{"id":"W3083078959","doi":"10.5430/rwe.v11n5p208","title":"Assessing the Effectiveness of e-Government and e-Governance in South Africa: During National Lockdown 2020","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Government (linguistics); E-governance; Economic growth; Service delivery framework; Corporate governance; Business; Telehealth; Service (business); Rural area; Poverty; E-services; Public relations; Political science; Telemedicine; Health care; Economics; Marketing; Finance","score_opus":0.08118768043363281,"score_gpt":0.3703481313304328,"score_spread":0.2891604508968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083078959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99041104,0.00023474064,0.00014432192,0.0013633554,0.00001322471,0.00009627647,0.00013697983,0.0000029930814,0.007597105],"genre_scores_gemma":[0.9988637,0.00019804262,0.00014385718,0.000095980824,0.0000030565977,0.000075776334,0.00006019005,0.0000020660389,0.0005572905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99587125,0.0016068582,0.00028057265,0.00020000496,0.0006696252,0.0013716354],"domain_scores_gemma":[0.9913846,0.0027373421,0.0023397019,0.0002708549,0.0015893572,0.0016782396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061652046,0.00024075418,0.00029877713,0.0013671161,0.0028128524,0.0037380473,0.00046165142,0.0008392492,0.0026149051],"category_scores_gemma":[0.019261336,0.00023781342,0.00031873287,0.0014543986,0.0020446575,0.004822013,0.0043429923,0.0015102928,0.00030134752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054546073,0.0008007904,0.715212,0.00082542264,0.000119175435,0.0014937597,0.16409945,0.0025409295,0.0018554174,0.014858879,0.0033508614,0.094297856],"study_design_scores_gemma":[0.000011637287,0.00048122165,0.622978,0.000509881,0.00003174758,0.00012620397,0.3604873,0.0008422056,0.00062056415,0.00087091204,0.013008037,0.00003232947],"about_ca_topic_score_codex":0.032351356,"about_ca_topic_score_gemma":0.043218855,"teacher_disagreement_score":0.032351356,"about_ca_system_score_codex":0.007738068,"about_ca_system_score_gemma":0.006808983,"threshold_uncertainty_score":0.06432611},"labels":[],"label_agreement":null},{"id":"W3083083972","doi":"10.5430/rwe.v11n5p192","title":"The Lead and Lag Relationship Between Spot Market and Futures Market: Empirical Evidence From Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Futures contract; Spot market; Granger causality; Econometrics; Variance decomposition of forecast errors; Economics; Financial economics; Price discovery; Stock market; Lead–lag compensator; Stock market index; Forward market; Stock exchange; Vector autoregression; Error correction model; Portfolio; Cointegration; Finance","score_opus":0.29579831007849133,"score_gpt":0.3541863082880985,"score_spread":0.05838799820960716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083083972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99659914,0.0005341631,0.00022058534,0.00022873527,0.00000884321,0.000004099873,0.00020315325,0.0000021148942,0.0021992158],"genre_scores_gemma":[0.99894696,0.00033477554,0.00006369561,0.000017800603,0.000010335027,0.0000013253737,0.000218393,0.0000019561653,0.00040480617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981326,0.0000355221,0.000018747058,0.000043721604,0.000052092997,0.000036705173],"domain_scores_gemma":[0.9973671,0.0010911851,0.0007582175,0.000086575004,0.00041053965,0.00028646184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054524106,0.00010106602,0.00012396325,0.0005741223,0.0002755585,0.0007895597,0.00019096788,0.0001740652,0.0024012362],"category_scores_gemma":[0.0027460377,0.00012772555,0.00017167808,0.0009382997,0.0002919757,0.0007023625,0.00030602768,0.00035934008,0.00014310845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009355455,0.00006884413,0.9827613,0.000070034715,0.00007350804,0.0012561413,0.0018481171,0.0005901315,0.0004971235,0.0018780605,0.000691351,0.010171869],"study_design_scores_gemma":[0.000012541153,0.00007931705,0.9863716,0.000042801643,0.00006426562,0.00048065462,0.003903465,0.0038382465,0.0004678223,0.0010147728,0.003710453,0.000014008331],"about_ca_topic_score_codex":0.02241186,"about_ca_topic_score_gemma":0.019075595,"teacher_disagreement_score":0.02241186,"about_ca_system_score_codex":0.00035371113,"about_ca_system_score_gemma":0.0005037342,"threshold_uncertainty_score":0.044562817},"labels":[],"label_agreement":null},{"id":"W3083090864","doi":"10.5430/rwe.v11n5p220","title":"Sustainable Development of the Tourism Sector in the Palestinian Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Halal products and consumer behavior","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":"Palestine Technical University Kadoorie","keywords":"Tourism; Scope (computer science); Business; Sustainable development; Sample (material); Sustainable tourism; Tourism geography; Economic sector; Palestine; Descriptive research; Economy; Tertiary sector of the economy; Economic growth; Marketing; Economics; Political science; Social science","score_opus":0.15109953433901555,"score_gpt":0.3785166848635747,"score_spread":0.22741715052455916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083090864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722946,0.0021913438,0.0001104977,0.001379585,0.000014560715,0.0000084667845,0.000029395953,0.0000013785419,0.023970043],"genre_scores_gemma":[0.99821657,0.001000259,0.00007279736,0.00006728765,0.0000031927116,0.0000026510265,0.000007908083,2.7270073e-7,0.0006290681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966633,0.00015955936,0.0000126913055,0.000012436461,0.00003738152,0.00011158699],"domain_scores_gemma":[0.9997844,0.000050926057,0.000057594625,0.000008727657,0.000029526127,0.000068823225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009169185,0.000107903776,0.00006750992,0.00064486766,0.0009950537,0.0017876261,0.00011196728,0.00024060546,0.0018898515],"category_scores_gemma":[0.00069504796,0.00008619449,0.00009081564,0.00091045804,0.00089965516,0.00083497644,0.0009994217,0.00037991785,0.00010952915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019336131,0.0004356575,0.6631418,0.0007206395,0.00005244987,0.002913262,0.05785125,0.0017912076,0.0032266912,0.075221814,0.00410703,0.19034491],"study_design_scores_gemma":[0.00001526891,0.00020531256,0.7697946,0.0010013329,0.000020543783,0.0010961146,0.15869914,0.001093905,0.000717581,0.007780805,0.059552908,0.000022435412],"about_ca_topic_score_codex":0.0059992834,"about_ca_topic_score_gemma":0.015349607,"teacher_disagreement_score":0.0059992834,"about_ca_system_score_codex":0.0011376712,"about_ca_system_score_gemma":0.002415203,"threshold_uncertainty_score":0.011928737},"labels":[],"label_agreement":null},{"id":"W3083110787","doi":"10.5430/rwe.v11n5p24","title":"Integration of the GCC Stock Markets","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Cointegration; Stock (firearms); Stock market; Diversification (marketing strategy); Economics; Granger causality; Financial economics; Error correction model; Monetary economics; Econometrics; Business; Geography","score_opus":0.1400345083333314,"score_gpt":0.32157896576322864,"score_spread":0.18154445742989725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083110787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867698,0.00044801692,0.0007494483,0.00017670245,0.00001066618,0.000010205792,0.0001614432,0.000014745026,0.011658821],"genre_scores_gemma":[0.9985764,0.00019800151,0.00028417885,0.000017884508,0.0000073084534,0.0000026588575,0.00014376755,0.000002808731,0.0007671022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997135,0.00005372315,0.000026079353,0.000043272415,0.00009831363,0.00006513763],"domain_scores_gemma":[0.9992124,0.00013631274,0.0002950103,0.00004037278,0.00026043088,0.000055476274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041181018,0.00023622341,0.00017361631,0.0018479307,0.0003006327,0.0023253164,0.00018087005,0.0003158197,0.0020705923],"category_scores_gemma":[0.0021125055,0.000123622,0.0002600984,0.0015638176,0.0003065562,0.0010914671,0.0006702492,0.000268172,0.00018296123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022452191,0.0000601161,0.8687403,0.00010556703,0.0003663593,0.0017241597,0.0022910126,0.013225562,0.00704818,0.037453327,0.0014003771,0.067360505],"study_design_scores_gemma":[0.0000133245585,0.00006549127,0.9545534,0.00010399394,0.00019991481,0.0004328414,0.0029198593,0.025946414,0.0018036375,0.0051661776,0.008764628,0.000030355186],"about_ca_topic_score_codex":0.022600222,"about_ca_topic_score_gemma":0.017880488,"teacher_disagreement_score":0.022600222,"about_ca_system_score_codex":0.0009912396,"about_ca_system_score_gemma":0.00077218306,"threshold_uncertainty_score":0.044937372},"labels":[],"label_agreement":null},{"id":"W3083118209","doi":"10.5430/rwe.v11n5p114","title":"Prospects for the Development of Russian Export in the Context of Digitalization","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Digitization; Distributed lag; Context (archaeology); Globalization; Economics; Panel data; International trade; Business; Industrial organization; Econometrics; Engineering; Market economy; Geography; Telecommunications","score_opus":0.12236122928435404,"score_gpt":0.2944421965512334,"score_spread":0.17208096726687933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083118209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981899,0.00036558066,0.0005487451,0.00063992076,0.000011163438,0.0000050475005,0.0002593846,0.000012214657,0.016258895],"genre_scores_gemma":[0.9975303,0.00029132745,0.00014379152,0.000021807298,0.000009960618,0.0000019811614,0.00017559386,0.0000028762238,0.0018223668],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977523,0.00005063232,0.00001694987,0.00003507339,0.000043291395,0.00007882591],"domain_scores_gemma":[0.9990037,0.00025964523,0.0003669177,0.00009726979,0.00018444448,0.00008798737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067778566,0.00012086221,0.00016073421,0.00055323826,0.00036177764,0.0015166431,0.00015345524,0.00023592741,0.0043077287],"category_scores_gemma":[0.0019434126,0.00006467887,0.0003659256,0.00077592355,0.00038654104,0.00088294194,0.0008595502,0.00040043276,0.00040611677],"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":[0.00023866986,0.000080319915,0.9312461,0.00012033554,0.000071210554,0.0015106989,0.0019160652,0.0037865497,0.003020028,0.02783588,0.0011297419,0.029044267],"study_design_scores_gemma":[0.0000051755924,0.00010524255,0.9796149,0.000055249773,0.00005304843,0.0004247938,0.003540492,0.0027052455,0.0013313387,0.0024193716,0.009734171,0.000010960805],"about_ca_topic_score_codex":0.0030955768,"about_ca_topic_score_gemma":0.0023709678,"teacher_disagreement_score":0.0043077287,"about_ca_system_score_codex":0.00055271696,"about_ca_system_score_gemma":0.0004956954,"threshold_uncertainty_score":0.014410734},"labels":[],"label_agreement":null},{"id":"W3083124092","doi":"10.5430/rwe.v11n5p235","title":"Interaction Among Corporate Governance, Innovation, and Performance in Vietnam’s Banking Sector","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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; Accounting; Business; Chief executive officer; Order (exchange); Officer; Marketing; Economics; Management; Finance; Political science","score_opus":0.0918795208163985,"score_gpt":0.27637135163463566,"score_spread":0.18449183081823717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083124092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969023,0.00031278896,0.000059425416,0.000349508,0.0000072257644,0.000008680714,0.00006852392,0.000001169294,0.0022903015],"genre_scores_gemma":[0.9996656,0.00007281209,0.000022328217,0.000020945054,0.000004422376,0.0000027798476,0.000031109266,4.1161505e-7,0.00017956315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988531,0.00041888148,0.000071440714,0.00017041204,0.00017809602,0.00030809292],"domain_scores_gemma":[0.992365,0.0024774151,0.0030112313,0.00017963957,0.00069729256,0.001269573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013208858,0.00014657,0.00017285581,0.0007055387,0.0005947248,0.0014198222,0.00022063371,0.00027176956,0.0021831174],"category_scores_gemma":[0.0034904282,0.000101206824,0.00019007592,0.0009273501,0.00081224233,0.00061411806,0.0008402238,0.0005359435,0.00010638219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019259365,0.000076625896,0.99115527,0.000029301393,0.000025255573,0.0001487639,0.0018773613,0.00013729233,0.000077988894,0.0004753943,0.0002124042,0.005764985],"study_design_scores_gemma":[0.0000015639388,0.000038918937,0.9950706,0.000028824705,0.000008418239,0.000041040195,0.0037832581,0.00023518468,0.00003435875,0.000145242,0.00060911576,0.0000035746411],"about_ca_topic_score_codex":0.021463921,"about_ca_topic_score_gemma":0.027397478,"teacher_disagreement_score":0.021463921,"about_ca_system_score_codex":0.0014817965,"about_ca_system_score_gemma":0.0022229839,"threshold_uncertainty_score":0.042678},"labels":[],"label_agreement":null},{"id":"W3083131844","doi":"10.5430/rwe.v11n5p56","title":"A Payment Culture Framework for Municipal Services in the North West Province","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Taxation and Compliance Studies","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":"Payment; Business; Transparency (behavior); Enforcement; Municipal services; Service (business); Debt; Finance; Marketing; Public administration; Political science","score_opus":0.1531241896772953,"score_gpt":0.34427434820420677,"score_spread":0.19115015852691147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083131844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720651,0.00032975824,0.0017594243,0.0061929347,0.000026645883,0.00019812524,0.000055756293,0.000008850038,0.019363431],"genre_scores_gemma":[0.99717134,0.00018313501,0.0013656516,0.000097205055,0.0000031823865,0.000055345958,0.000015340524,0.0000013013565,0.0011075512],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99787545,0.0011204957,0.00014082849,0.00008757651,0.0003028557,0.0004728029],"domain_scores_gemma":[0.9975228,0.00059206696,0.0006917308,0.000103548526,0.0005300655,0.00055973476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002298685,0.00018709734,0.00016456631,0.0010062985,0.0037095502,0.0035363515,0.0006695045,0.00045879046,0.0018614474],"category_scores_gemma":[0.0040116305,0.00017578849,0.00015017898,0.0019048532,0.0024753239,0.0012968391,0.00210892,0.0008388641,0.0001001502],"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":[0.000161609,0.0006049633,0.34647876,0.00064574624,0.00005319266,0.0050899866,0.2740232,0.002539519,0.0033099717,0.20020568,0.0070485873,0.1598388],"study_design_scores_gemma":[0.000043833774,0.00016767695,0.357397,0.0007230749,0.000033932443,0.0007984169,0.56616926,0.0036077057,0.0006491328,0.01254556,0.057794902,0.000069529306],"about_ca_topic_score_codex":0.11737533,"about_ca_topic_score_gemma":0.19467182,"teacher_disagreement_score":0.11737533,"about_ca_system_score_codex":0.016014263,"about_ca_system_score_gemma":0.024074897,"threshold_uncertainty_score":0.23338425},"labels":[],"label_agreement":null},{"id":"W3083141998","doi":"10.5430/rwe.v11n5p16","title":"Explaining the Gender-Gap in Economic Activity: A Cross-Country Study","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Gender, Labor, and Family Dynamics","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":"Openness to experience; Economics; Demographic economics; Unemployment; Urbanization; Panel data; Labour economics; Econometrics; Economic growth; Psychology","score_opus":0.21740326387908615,"score_gpt":0.4356229888670196,"score_spread":0.21821972498793346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083141998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970657,0.00073406624,0.00046063346,0.000111278016,0.000018914834,0.000008045684,0.00039410644,0.000002108478,0.0012051562],"genre_scores_gemma":[0.9987702,0.00028619618,0.0001809322,0.00002660179,0.000009761523,0.000005380937,0.00048397577,0.000001678747,0.00023532654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999206,0.0003625082,0.000041602678,0.00014012263,0.000081836544,0.00016795614],"domain_scores_gemma":[0.99722594,0.0014231692,0.00060206745,0.00024508938,0.00028050935,0.0002230494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021011352,0.00025980148,0.00045659544,0.001270585,0.00043696858,0.0009339217,0.00028930453,0.00033985035,0.002912076],"category_scores_gemma":[0.0031913528,0.00015427185,0.00088837993,0.0017021245,0.0003310895,0.0007628952,0.001019993,0.00057112484,0.0003686891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000685586,0.00007803472,0.9903086,0.00003525461,0.0002624843,0.00029887047,0.00079152733,0.00042500324,0.00013134113,0.0007419653,0.0003134876,0.006544927],"study_design_scores_gemma":[0.0000043449777,0.00010470797,0.992322,0.000056760353,0.00016104394,0.0001798754,0.0036553591,0.0012571057,0.00013652041,0.00028253903,0.0018310084,0.000008780704],"about_ca_topic_score_codex":0.010832849,"about_ca_topic_score_gemma":0.010499806,"teacher_disagreement_score":0.010832849,"about_ca_system_score_codex":0.00029816278,"about_ca_system_score_gemma":0.00036086809,"threshold_uncertainty_score":0.021539569},"labels":[],"label_agreement":null},{"id":"W3083156642","doi":"10.5430/rwe.v11n5p297","title":"Healthcare Expenditure and Economic Growth: How Important Is the Partnership?","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Health Care Issues","field":"Health Professions","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":"Health care; Gross domestic product; Economics; Unit root test; Government (linguistics); Mediation; Public economics; General partnership; Business; Econometrics; Macroeconomics; Economic growth; Finance; Cointegration; Political science","score_opus":0.25684257102989605,"score_gpt":0.50436903954822,"score_spread":0.24752646851832394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083156642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5933029,0.06426938,0.0022029476,0.28017986,0.00083555194,0.000032464857,0.000412768,0.000028835519,0.05873526],"genre_scores_gemma":[0.98489505,0.011540329,0.00033075485,0.0015399635,0.00025563847,0.000007178904,0.00007149883,0.000007044027,0.0013526332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858934,0.00074211,0.00005045876,0.00009832462,0.00017818778,0.0003415544],"domain_scores_gemma":[0.9932054,0.0028107597,0.0012558446,0.00015735881,0.0008764458,0.0016942661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020818005,0.00023677497,0.00043625414,0.0011289815,0.0007229852,0.004251225,0.00036870386,0.0008593267,0.005099818],"category_scores_gemma":[0.00936879,0.0001367973,0.0002068096,0.0028679057,0.0016022124,0.0051902644,0.0027518088,0.001866258,0.00046003217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019258646,0.00018983537,0.71135616,0.00051189604,0.00020229138,0.0007590327,0.004778762,0.0010088404,0.00021707955,0.059193026,0.010711368,0.21087913],"study_design_scores_gemma":[0.000018923227,0.00016361961,0.84543496,0.0017523924,0.00016389071,0.000970962,0.0467148,0.0020796387,0.00021002041,0.040923364,0.061509755,0.000057725272],"about_ca_topic_score_codex":0.008542267,"about_ca_topic_score_gemma":0.011939079,"teacher_disagreement_score":0.008542267,"about_ca_system_score_codex":0.0011473043,"about_ca_system_score_gemma":0.0023604566,"threshold_uncertainty_score":0.017060518},"labels":[],"label_agreement":null},{"id":"W3083172717","doi":"10.5430/rwe.v11n5p152","title":"An Analysis of Public-Private Partnerships in East Africa","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Public-Private Partnership Projects","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; Public–private partnership; Private sector; Developing country; Finance; Business; Economic growth; Public sector; Economics; Economy","score_opus":0.37132276703469713,"score_gpt":0.37046477423752,"score_spread":0.0008579927971771317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083172717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8632473,0.0030172453,0.003416953,0.0020187437,0.000015066276,0.00023947207,0.00031146934,0.000009795178,0.12772411],"genre_scores_gemma":[0.9945462,0.001358235,0.00036581772,0.000047587953,0.000004302755,0.000050360053,0.000053219235,0.0000020975074,0.0035723096],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998654,0.00043459047,0.0000595884,0.000050029234,0.00023445404,0.00056727056],"domain_scores_gemma":[0.9970174,0.001463669,0.0007872026,0.00006682087,0.00035635213,0.00030859374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013071339,0.0001381044,0.00019507244,0.0022341062,0.002120399,0.003833964,0.00027182218,0.0006176708,0.00547265],"category_scores_gemma":[0.0040706308,0.00019517922,0.00023569608,0.005585148,0.0008309329,0.0031175013,0.001991389,0.0005413061,0.0002170832],"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":[0.00013024718,0.00021190858,0.07291802,0.000505606,0.000055910157,0.0066963327,0.025442172,0.009050975,0.0007681733,0.83422935,0.002200142,0.047791105],"study_design_scores_gemma":[0.00007134861,0.0003854627,0.30814078,0.0016289741,0.00021317381,0.00435795,0.29962105,0.029453013,0.0022068191,0.10047513,0.25337812,0.000068170455],"about_ca_topic_score_codex":0.00986781,"about_ca_topic_score_gemma":0.012432387,"teacher_disagreement_score":0.00986781,"about_ca_system_score_codex":0.0045385286,"about_ca_system_score_gemma":0.0035549356,"threshold_uncertainty_score":0.03292942},"labels":[],"label_agreement":null},{"id":"W3083208741","doi":"10.5430/rwe.v11n5p326","title":"Behavioural and Psychological Factors That Influence the Usage of Formal Financial Services Among the Low Income Households","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Habit; Financial inclusion; Context (archaeology); Theory of planned behavior; Financial services; Inclusion (mineral); Control variable; Business; Public economics; Variables; Control (management); Finance; Economics; Psychology; Social psychology; Geography","score_opus":0.08794147885070731,"score_gpt":0.30907465043253624,"score_spread":0.22113317158182894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083208741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989893,0.000051584804,0.000035842702,0.00011252478,0.0000020841837,0.0000053715803,0.000033378055,8.394803e-7,0.000769077],"genre_scores_gemma":[0.9996786,0.00005095185,0.00003611856,0.000026634825,0.0000015352956,0.0000034248242,0.000022815891,3.2789396e-7,0.00017948844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996772,0.00013003104,0.000026428697,0.000023786066,0.000058817543,0.000083664294],"domain_scores_gemma":[0.99882025,0.00040017397,0.00042170568,0.000050907813,0.00012083418,0.00018607955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046460284,0.000098818775,0.00012176635,0.00032686553,0.00043466946,0.00068130647,0.00013412848,0.0002512493,0.0019275381],"category_scores_gemma":[0.002298441,0.00009964703,0.00021408833,0.00039120682,0.0003605658,0.00032301556,0.0003035803,0.00043533125,0.00015934586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002574298,0.0001517936,0.98901343,0.000022590933,0.000023719547,0.000088791145,0.0026263087,0.000044019445,0.00023493734,0.00013732477,0.0001587272,0.007472644],"study_design_scores_gemma":[7.9979515e-7,0.00005180968,0.99407035,0.00001636217,0.000010795506,0.000054936158,0.0052751033,0.00011664318,0.000055375054,0.00006725632,0.0002766045,0.000003909724],"about_ca_topic_score_codex":0.0094601475,"about_ca_topic_score_gemma":0.015822297,"teacher_disagreement_score":0.0094601475,"about_ca_system_score_codex":0.00026764275,"about_ca_system_score_gemma":0.00043227675,"threshold_uncertainty_score":0.018810153},"labels":[],"label_agreement":null},{"id":"W3083240430","doi":"10.5430/rwe.v11n5p123","title":"Impact of Financial Literacy on Individual Saving: A Study in the Omani Context","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Literacy, Pension, Retirement Analysis","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":"Financial literacy; Demographics; Diversification (marketing strategy); Logistic regression; Exploratory research; Context (archaeology); Investment (military); Literacy; Demographic economics; Business; Economics; Psychology; Actuarial science; Demography; Economic growth; Finance; Marketing; Geography; Political science; Sociology; Medicine; Social science","score_opus":0.12071439396083736,"score_gpt":0.3736281788189403,"score_spread":0.2529137848581029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083240430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993881,0.000054622255,0.0000077581135,0.00006778849,0.0000013706036,0.0000027539456,0.000009260371,1.7328043e-7,0.00046808465],"genre_scores_gemma":[0.9995214,0.00012079625,0.000019543348,0.00005080818,0.000004861195,0.000004443161,0.000010928826,3.0604994e-7,0.00026690957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995505,0.00019483503,0.000019068293,0.000026736281,0.000048640522,0.00016023619],"domain_scores_gemma":[0.99879956,0.0004249691,0.00038852618,0.00003168762,0.000116348405,0.00023887762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007329586,0.00017948433,0.0002418885,0.00075828045,0.0015534009,0.0009531571,0.0001936887,0.00040314283,0.0024684607],"category_scores_gemma":[0.0021417507,0.00016136783,0.00020050342,0.00090625434,0.00058853754,0.0010151371,0.0008378126,0.0006272744,0.00025180544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115637944,0.0010420525,0.8948696,0.000087029934,0.00002745011,0.001965058,0.083642095,0.000049010112,0.0004956398,0.00046849766,0.00046737757,0.016770508],"study_design_scores_gemma":[0.00000524918,0.00054941466,0.8869262,0.00006421364,0.000024342457,0.0007055203,0.10943211,0.0001017533,0.00013491826,0.00015015564,0.0018938616,0.000012370273],"about_ca_topic_score_codex":0.0061369957,"about_ca_topic_score_gemma":0.017777352,"teacher_disagreement_score":0.0061369957,"about_ca_system_score_codex":0.0005872656,"about_ca_system_score_gemma":0.00065747317,"threshold_uncertainty_score":0.012202501},"labels":[],"label_agreement":null},{"id":"W3083292399","doi":"10.5430/rwe.v11n5p186","title":"Theoretical and Methodical Aspects of Ensuring Sustainable Operation of the Businesses Considering Their Innovative Activity","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Process management; Business; Section (typography); Sustainable development; Stability (learning theory); Industrial organization; Risk analysis (engineering); Environmental economics; Computer science; Economics; Political science","score_opus":0.04408524909170414,"score_gpt":0.28448711716031444,"score_spread":0.2404018680686103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083292399","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":[0.01024529,0.0013990635,0.85262984,0.0124336425,0.00053536764,0.00084056443,0.00025374064,0.00008994346,0.12157264],"genre_scores_gemma":[0.40491927,0.0020283046,0.57796794,0.0015036828,0.00034725378,0.004797802,0.00018486753,0.000073586016,0.00817737],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.96230036,0.029980494,0.0011638765,0.0014959092,0.00450056,0.00055878004],"domain_scores_gemma":[0.96232146,0.02873284,0.0018662878,0.0041258126,0.0026237716,0.00032974832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03206659,0.0010086866,0.00088757573,0.005882789,0.0031048714,0.011427084,0.0022712152,0.0017637878,0.005748671],"category_scores_gemma":[0.042334702,0.0005013386,0.00077220006,0.00468949,0.03504346,0.008115664,0.0040897164,0.0037107454,0.0007873294],"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":[0.0000091348875,0.000029887884,0.00042941532,0.00016405403,0.000010565625,0.000033476706,0.0024560404,0.00060873764,0.00016455026,0.9860912,0.00043338482,0.009569516],"study_design_scores_gemma":[0.000014897943,0.000030766652,0.00041857312,0.00023673574,0.000011121996,0.000085281856,0.0030169645,0.0023494195,0.00041537322,0.970282,0.023117926,0.000021002836],"about_ca_topic_score_codex":0.0022074287,"about_ca_topic_score_gemma":0.0029328915,"teacher_disagreement_score":0.03206659,"about_ca_system_score_codex":0.0065839435,"about_ca_system_score_gemma":0.009571095,"threshold_uncertainty_score":0.16958642},"labels":[],"label_agreement":null},{"id":"W3083329269","doi":"10.5430/rwe.v11n5p308","title":"Operational Management of Flexible Production of Machine-Building Enterprises Using the Analytical Method for Optimizing Work Order Planning Services","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Engineering and Environmental Studies","field":"Engineering","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":"Production (economics); Schedule; Process (computing); Computer science; Work (physics); Task (project management); Production manager; Risk analysis (engineering); Order (exchange); Production planning; Process management; Systems engineering; Industrial engineering; Operations research; Manufacturing engineering; Engineering; Business","score_opus":0.08962313611507973,"score_gpt":0.36743583375300654,"score_spread":0.2778126976379268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083329269","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":[0.017232548,0.00015745252,0.97890556,0.000107306434,0.000017709186,0.000047959846,0.00002959893,0.00015512251,0.0033466846],"genre_scores_gemma":[0.7659274,0.0005031524,0.23109752,0.00002096646,0.000028808297,0.00016949704,0.00011447949,0.00007484771,0.0020634448],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992291,0.0002916427,0.000031939464,0.00008487222,0.00028767486,0.00007477828],"domain_scores_gemma":[0.99961543,0.0001771388,0.00006692762,0.000042400465,0.00007509726,0.00002295638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010261006,0.00057843566,0.0006171321,0.00085178466,0.0006743791,0.0015126596,0.00059488433,0.00037484957,0.0012869947],"category_scores_gemma":[0.0017580981,0.00030223772,0.0007494204,0.0010874262,0.0004990082,0.0011834454,0.0007482914,0.00050016755,0.00017069186],"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":[0.000054468557,0.000064579646,0.0015436084,0.000108634944,0.000043517077,0.000090769885,0.000220116,0.82699925,0.0048313797,0.053413134,0.0011974475,0.1114331],"study_design_scores_gemma":[0.0000061120854,0.000034949397,0.0003941185,0.000009467377,0.0000137013085,0.000019962245,0.000056401084,0.98521763,0.0011261086,0.0114048235,0.0017060777,0.000010665563],"about_ca_topic_score_codex":0.0052069197,"about_ca_topic_score_gemma":0.003576375,"teacher_disagreement_score":0.0052069197,"about_ca_system_score_codex":0.0011673088,"about_ca_system_score_gemma":0.0024272304,"threshold_uncertainty_score":0.010353208},"labels":[],"label_agreement":null},{"id":"W3083399898","doi":"10.5430/rwe.v11n5p288","title":"Risk Management Committee, Financial Reporting Quality and Financial Performance of Deposit Money Banks in Nigeria","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Finance; Market liquidity; Quality (philosophy); Liquidity risk; Risk management; Accounting; Financial system","score_opus":0.04844800994201949,"score_gpt":0.2996076501228602,"score_spread":0.25115964018084075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083399898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976671,0.00043321302,0.00007347261,0.0003804134,0.0000071645577,0.00001001595,0.000077849676,0.0000030125232,0.0013478512],"genre_scores_gemma":[0.99936205,0.00022252434,0.000068864916,0.000027300794,0.000009476429,0.0000028555444,0.000054849417,8.227655e-7,0.00025121463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792695,0.00055117684,0.0004958605,0.00016802644,0.0006214018,0.00023651615],"domain_scores_gemma":[0.9702519,0.0045713284,0.019581385,0.0006403961,0.003569738,0.0013851828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029410531,0.00015489565,0.00023775721,0.0015524478,0.00066062156,0.002051629,0.00020692871,0.0004011507,0.0014193815],"category_scores_gemma":[0.0140024945,0.00017187283,0.00017721918,0.0017224171,0.0005125446,0.0011155498,0.00072465895,0.0006184177,0.00018945655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050877225,0.000055258894,0.9918064,0.000022236687,0.000017084454,0.00007381718,0.0011541947,0.000114881586,0.00013743377,0.00018252652,0.00027913525,0.0061062053],"study_design_scores_gemma":[0.0000023666123,0.000053663574,0.9955325,0.00006348322,0.000013260314,0.00012815527,0.0028850287,0.0003202625,0.00015118999,0.00012518298,0.00071337755,0.000011487933],"about_ca_topic_score_codex":0.008560856,"about_ca_topic_score_gemma":0.008932233,"teacher_disagreement_score":0.008560856,"about_ca_system_score_codex":0.00083830534,"about_ca_system_score_gemma":0.00092313526,"threshold_uncertainty_score":0.017022073},"labels":[],"label_agreement":null},{"id":"W3083425700","doi":"10.5430/rwe.v11n5p279","title":"The Effect of Organizational Culture on Firm Performance With Social Responsibility as Mediating Variable","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Corporate social responsibility; Obligation; Organizational culture; Social responsibility; Affect (linguistics); Sample (material); Path analysis (statistics); Organizational performance; Marketing; Business administration; Accounting; Public relations; Political science; Law; Sociology","score_opus":0.03694197494683832,"score_gpt":0.306960171874113,"score_spread":0.2700181969272747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083425700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972844,0.00006715875,0.00016444726,0.00017522054,0.000008489316,0.000013374281,0.000023787816,0.00000367357,0.0022595527],"genre_scores_gemma":[0.999658,0.000033246615,0.00006608884,0.000011008717,0.000002999381,0.0000072445773,0.000016291302,0.0000010346778,0.0002041633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960672,0.0021429493,0.00021120813,0.00033477644,0.00053617766,0.0007075676],"domain_scores_gemma":[0.97097564,0.014706538,0.0068677636,0.001211736,0.002052555,0.0041857585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032820096,0.0004602118,0.00031864867,0.00085230346,0.00074287766,0.0019437206,0.0006771039,0.0005763329,0.0040802476],"category_scores_gemma":[0.013515661,0.00019710514,0.00058901537,0.00075254065,0.0012413261,0.0010018493,0.0019375962,0.0010570579,0.00024681436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011661887,0.0006887332,0.98772705,0.00004224445,0.0002185076,0.00022899901,0.0014774372,0.00058601,0.0002602366,0.0009547907,0.00017100683,0.007528332],"study_design_scores_gemma":[0.000015148617,0.00039237348,0.99061793,0.00008182536,0.00014345782,0.00007657295,0.0047638095,0.0025917753,0.0004113979,0.00047420475,0.00041633524,0.000015076082],"about_ca_topic_score_codex":0.007422613,"about_ca_topic_score_gemma":0.005857467,"teacher_disagreement_score":0.007422613,"about_ca_system_score_codex":0.00094649615,"about_ca_system_score_gemma":0.0022132094,"threshold_uncertainty_score":0.017357111},"labels":[],"label_agreement":null},{"id":"W3083442577","doi":"10.5430/rwe.v11n5p164","title":"Sustainable/ Green Product Packaging From the Shoppers Perspective: A Case of Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Environmental Sustainability in Business","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; Product (mathematics); Marketing; Packaging and labeling; Sustainable development; Descriptive statistics; Diversification (marketing strategy); Sustainable products; Sustainability; Environmental economics; Economics","score_opus":0.04618550589936642,"score_gpt":0.30165097442563116,"score_spread":0.2554654685262647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083442577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98825586,0.0005066839,0.000580262,0.0011184657,0.000017373042,0.000023902288,0.000024099292,0.0000061085634,0.009467398],"genre_scores_gemma":[0.9946302,0.0004942234,0.000578696,0.00022026883,0.000009152127,0.0000041535664,0.000016769118,0.000004376122,0.0040421193],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9993944,0.00031066517,0.0000224085,0.00004072383,0.00009718643,0.00013454208],"domain_scores_gemma":[0.99898976,0.00041639118,0.00015733737,0.00004045856,0.00020654801,0.0001895966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008355492,0.00033479047,0.0001214352,0.0006964301,0.0043236697,0.0022960966,0.00064427423,0.0014824315,0.0046740607],"category_scores_gemma":[0.0009788478,0.00019874412,0.00026492652,0.00060449616,0.0015975891,0.0013002068,0.0012226735,0.0007666083,0.00043526944],"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":[0.00041570578,0.0009957283,0.11162249,0.0010932665,0.000053182866,0.1416075,0.6273734,0.0017701952,0.0060087424,0.03216143,0.008397296,0.06850114],"study_design_scores_gemma":[0.000014823059,0.00023882401,0.03822555,0.00035083588,0.000047816986,0.012554861,0.880372,0.003432714,0.0025993742,0.0020660772,0.060045723,0.000051333907],"about_ca_topic_score_codex":0.024943268,"about_ca_topic_score_gemma":0.03739048,"teacher_disagreement_score":0.024943268,"about_ca_system_score_codex":0.0021479526,"about_ca_system_score_gemma":0.0012879813,"threshold_uncertainty_score":0.04959613},"labels":[],"label_agreement":null},{"id":"W3083472007","doi":"10.5430/rwe.v11n5p177","title":"Stage of Takeoff Based on Rostow's Theory for the Role of Manufacture of Non-metals, Except Petroleum and Coal Manufacture to the Economic Increase","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Fiscal 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":"Coal; Petroleum; Government (linguistics); Pooling; Petroleum engineering; Value (mathematics); Agency (philosophy); Engineering; Economics; Operations management; Environmental economics; Waste management; Computer science; Mathematics; Statistics; Chemistry","score_opus":0.037634645157330976,"score_gpt":0.2748645249871184,"score_spread":0.2372298798297874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083472007","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":[0.38145936,0.0017265948,0.109557845,0.009467236,0.0005776918,0.0018526961,0.0015016645,0.00027446548,0.49358237],"genre_scores_gemma":[0.9680721,0.00071340555,0.009846518,0.00037874735,0.0000797906,0.00041324022,0.00030332722,0.00004546297,0.020147482],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980305,0.00043185873,0.00014516077,0.00046411811,0.0005557368,0.00037267018],"domain_scores_gemma":[0.9935726,0.0023299917,0.0018271117,0.000524494,0.0012558885,0.00048997055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030451121,0.0006348384,0.00041496396,0.0030412192,0.0014078752,0.0031724733,0.0010974455,0.0010505815,0.019830015],"category_scores_gemma":[0.0061799614,0.00035369882,0.0017922694,0.001761365,0.0041521783,0.0041921935,0.0023210438,0.0017612133,0.0022865988],"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":[0.0003082372,0.0003757969,0.15710716,0.0006247369,0.00014329508,0.00063140277,0.0062620463,0.0041198246,0.0020732242,0.7397701,0.007810146,0.08077398],"study_design_scores_gemma":[0.00023549906,0.0016229636,0.3014596,0.0009771932,0.00020550136,0.0009269959,0.016570386,0.016038584,0.007195805,0.48182517,0.17273785,0.0002044536],"about_ca_topic_score_codex":0.003903592,"about_ca_topic_score_gemma":0.004309355,"teacher_disagreement_score":0.019830015,"about_ca_system_score_codex":0.002813857,"about_ca_system_score_gemma":0.0034159233,"threshold_uncertainty_score":0.066338},"labels":[],"label_agreement":null},{"id":"W3083499789","doi":"10.5430/rwe.v11n5p90","title":"Transformation of Industrial Enterprises in the Digital Economy","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Development and Digital Transformation","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":"Computer science; Automation; Digital economy; Process (computing); Digital transformation; Transformation (genetics); Synchronization (alternating current); Industrial organization; Process management; Manufacturing engineering; Industrial engineering; Business; Economic system; Engineering; Economics; Telecommunications; Operating system; World Wide Web","score_opus":0.19460926608840876,"score_gpt":0.29587780844495076,"score_spread":0.10126854235654201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083499789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.553753,0.0017085901,0.07782712,0.00262958,0.000076622586,0.00015293225,0.00010683775,0.000076553784,0.36366868],"genre_scores_gemma":[0.98858684,0.00051347027,0.0035557298,0.000053201275,0.000014497805,0.000027898117,0.0000313333,0.000004912673,0.0072120912],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995327,0.00018236593,0.000019165764,0.000053791304,0.00011360208,0.00009839161],"domain_scores_gemma":[0.9997209,0.00009450868,0.00005791769,0.000042636322,0.000040042232,0.000044001576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037312275,0.00013024178,0.000119436285,0.0007939261,0.0008208194,0.0023643,0.00020178745,0.0003363544,0.0027288664],"category_scores_gemma":[0.0008496908,0.00007986081,0.00026487172,0.00093862606,0.0021016293,0.002462535,0.0016017862,0.0004377707,0.00032648872],"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":[0.000026822729,0.00005604867,0.0040974617,0.000032533157,0.000007016424,0.00033521425,0.0013211962,0.006460586,0.0007091885,0.9674928,0.0004945625,0.018966576],"study_design_scores_gemma":[0.0000340396,0.00012482294,0.014396439,0.00009855266,0.00001887469,0.0005756549,0.007882913,0.045101628,0.0027622492,0.83160174,0.09738021,0.000022853106],"about_ca_topic_score_codex":0.0017558318,"about_ca_topic_score_gemma":0.001124407,"teacher_disagreement_score":0.0027288664,"about_ca_system_score_codex":0.001677399,"about_ca_system_score_gemma":0.0010107572,"threshold_uncertainty_score":0.012170374},"labels":[],"label_agreement":null},{"id":"W3083544141","doi":"10.5430/rwe.v11n5p48","title":"Nature and Extent of Corporate Social Responsibility in the Indian Banking Sector","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Corporate social responsibility; Business; Reputation; Social responsibility; Sample (material); Stakeholder; Accounting; Welfare; Economics; Market economy; Public relations; Management; Political science","score_opus":0.13314840300896696,"score_gpt":0.34486116399865774,"score_spread":0.21171276098969077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083544141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821445,0.00054548925,0.00016533611,0.0012714437,0.0000131062625,0.0000143371335,0.00006026329,0.00000503832,0.015780538],"genre_scores_gemma":[0.9991015,0.00021291325,0.000058178994,0.000056596113,0.000006153122,0.0000030063916,0.000014034221,0.0000010082125,0.00054656144],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9970932,0.0010407805,0.00018754389,0.00020426948,0.0009050268,0.000569187],"domain_scores_gemma":[0.9876831,0.0025358044,0.006013837,0.00051552104,0.0020881023,0.0011635646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020549577,0.00012068347,0.000107809865,0.0020296867,0.0015731376,0.0037860905,0.00038332448,0.00038874167,0.001655378],"category_scores_gemma":[0.0057680514,0.000119423414,0.00017740008,0.0023066488,0.0024491898,0.0018022363,0.0022407232,0.00083919277,0.00017107412],"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":[0.0000848892,0.0001508009,0.80454016,0.00019928021,0.000044993427,0.0007142677,0.09286833,0.0003443739,0.0018970935,0.010724868,0.0020873842,0.08634363],"study_design_scores_gemma":[0.0000012709011,0.000054293105,0.8839384,0.00015029986,0.0000125984425,0.0003962511,0.104016796,0.0003096832,0.00032504983,0.0013126177,0.009456428,0.000026359148],"about_ca_topic_score_codex":0.015119278,"about_ca_topic_score_gemma":0.02671906,"teacher_disagreement_score":0.015119278,"about_ca_system_score_codex":0.0026195766,"about_ca_system_score_gemma":0.0032747425,"threshold_uncertainty_score":0.030062556},"labels":[],"label_agreement":null},{"id":"W3083573838","doi":"10.5430/rwe.v11n5p141","title":"Impact of Capital Flight on Tax Revenue in Nigeria: A Co-integration Approach","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Capital flight; Revenue; Tax revenue; Gross domestic product; Capital (architecture); Inflation (cosmology); Sample (material); Economics; Business; Unit root test; Monetary economics; Public economics; Finance; Macroeconomics; Econometrics; Microeconomics; Cointegration; Geography","score_opus":0.12394686597143766,"score_gpt":0.33841959217627826,"score_spread":0.2144727262048406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083573838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922125,0.00082682975,0.0008212533,0.0003873819,0.000034642893,0.00003550388,0.00020416504,0.000012874481,0.0054648444],"genre_scores_gemma":[0.9986022,0.00034338867,0.00020079035,0.000032121,0.00002080635,0.000010183525,0.00015001245,0.000003306753,0.0006371429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983089,0.00056589977,0.000099762154,0.00022875455,0.0003501001,0.0004466533],"domain_scores_gemma":[0.9953128,0.0022299518,0.0013106359,0.00015795881,0.0005712768,0.00041730626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015717607,0.00038233493,0.0006280279,0.0026107733,0.0007123139,0.0028039159,0.0005018897,0.0005570199,0.0036576283],"category_scores_gemma":[0.004425373,0.00024553636,0.0009667479,0.002562505,0.0009865866,0.0014625584,0.0020928374,0.0016679586,0.0002740716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020092286,0.00035706745,0.96781546,0.00008857648,0.00033244785,0.0013386506,0.0008153114,0.004491268,0.00035223432,0.005390131,0.00059469626,0.01822321],"study_design_scores_gemma":[0.000018879862,0.00037858594,0.9577331,0.00017406908,0.0003497436,0.00048692172,0.005246497,0.029054403,0.0007672751,0.0025936663,0.0031564764,0.000040421914],"about_ca_topic_score_codex":0.022321554,"about_ca_topic_score_gemma":0.0190413,"teacher_disagreement_score":0.022321554,"about_ca_system_score_codex":0.0020232978,"about_ca_system_score_gemma":0.0017862789,"threshold_uncertainty_score":0.044383228},"labels":[],"label_agreement":null},{"id":"W3083646965","doi":"10.5430/rwe.v11n5p321","title":"The Study on Factors Influencing Incomes of Laborers in Viet Nam: The Case at Industrial Parks, Economic Zones in Travinh Province","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Impulse Buying and Technology 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":"Trường Đại học Trà Vinh","keywords":"Viet nam; Vietnamese; Industrial park; Ethnic group; Social security; Socioeconomics; Geography; Working environment; Economic growth; Business; Economics; Political science; Economy; Engineering","score_opus":0.17843968222139647,"score_gpt":0.3373415905401517,"score_spread":0.15890190831875525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083646965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992644,0.000044597047,0.000010507517,0.0001048777,0.0000015462477,0.0000028084883,0.000030584204,2.4981034e-7,0.0005404532],"genre_scores_gemma":[0.99958783,0.00006798339,0.000016655773,0.000016641374,0.0000021699796,0.0000033608626,0.000024197429,3.5473028e-7,0.0002808848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966264,0.000114629234,0.000009857793,0.000022142329,0.000027602895,0.0001630043],"domain_scores_gemma":[0.9994485,0.00012163197,0.0001419809,0.000015075344,0.00006947388,0.00020337825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037232824,0.00013960239,0.00013194783,0.0005494823,0.0013926174,0.0009047941,0.00029617953,0.00021210246,0.0018807238],"category_scores_gemma":[0.00088357995,0.00011346341,0.00017273685,0.00092143496,0.00048934185,0.00037752112,0.0005283965,0.00034155414,0.0001033908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023722627,0.00005164429,0.9839737,0.00002499909,0.000011768912,0.0014562733,0.010275543,0.00006271096,0.0001418766,0.00029809616,0.00027663144,0.003403151],"study_design_scores_gemma":[0.0000015238076,0.000023324821,0.9387381,0.000024087547,0.0000065057566,0.0002297605,0.059775352,0.00010864116,0.00004622355,0.00005064599,0.0009928395,0.0000029777002],"about_ca_topic_score_codex":0.08943928,"about_ca_topic_score_gemma":0.13833036,"teacher_disagreement_score":0.08943928,"about_ca_system_score_codex":0.0014408798,"about_ca_system_score_gemma":0.0015037905,"threshold_uncertainty_score":0.17783737},"labels":[],"label_agreement":null},{"id":"W3083676084","doi":"10.5430/rwe.v11n5p34","title":"Analysing ICT Economic Impact in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","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":"Information and Communications Technology; Spillover effect; Business; Economic sector; Final demand; Economics; Industrial organization; Economy; Production (economics); Macroeconomics; Political science","score_opus":0.15922016132349268,"score_gpt":0.3528579656436444,"score_spread":0.19363780432015174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083676084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95867145,0.00028773074,0.0009904328,0.00022822518,0.00001658105,0.000047469664,0.0024005703,0.000021402622,0.037336245],"genre_scores_gemma":[0.9943796,0.00037287574,0.0003322418,0.000018361954,0.0000047519375,0.000012286389,0.0010619512,0.000008680756,0.0038093566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997551,0.000058169328,0.000011664126,0.000023306828,0.000072248404,0.000079526544],"domain_scores_gemma":[0.9992084,0.00037278104,0.00010575766,0.00002866604,0.00021676732,0.00006760722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040041504,0.00015384804,0.00015689197,0.0013044421,0.00022800546,0.0014098503,0.00014535137,0.00008761706,0.0062424773],"category_scores_gemma":[0.0014883839,0.000115384144,0.00027719353,0.0022372038,0.00022977732,0.00054222037,0.00043871193,0.00029268698,0.00024640193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002876946,0.0002257722,0.7967502,0.0006643938,0.00017575278,0.0038114178,0.002943663,0.0655775,0.00295876,0.046163585,0.0042890087,0.07615234],"study_design_scores_gemma":[0.000023047465,0.00020709768,0.8868977,0.00015880684,0.000111712725,0.00031919862,0.011509429,0.055579565,0.0036966347,0.0050278353,0.036441445,0.00002756411],"about_ca_topic_score_codex":0.10530972,"about_ca_topic_score_gemma":0.06421496,"teacher_disagreement_score":0.10530972,"about_ca_system_score_codex":0.0027536547,"about_ca_system_score_gemma":0.0016358427,"threshold_uncertainty_score":0.2093935},"labels":[],"label_agreement":null},{"id":"W3083693504","doi":"10.5430/rwe.v11n5p266","title":"The Effect of Emotional Intelligence of Operational Team Leaders on the Performance of Team Members","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Emotional Intelligence and Performance","field":"Psychology","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":"Emotional intelligence; Psychology; Applied psychology; Empathy; Task (project management); Sample (material); Social intelligence; Simple random sample; Population; Data collection; Social psychology; Knowledge management; Management; Computer science; Statistics","score_opus":0.14769991677391503,"score_gpt":0.41501643210804495,"score_spread":0.2673165153341299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083693504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988845,0.000044657278,0.0000726347,0.000034714907,0.000006950957,0.0000033917024,0.000005576469,0.000001926702,0.0009457147],"genre_scores_gemma":[0.9996946,0.000029077286,0.00005443798,0.000011566256,0.0000067299457,0.0000035216333,0.0000099297795,7.911092e-7,0.00018947975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887985,0.000532414,0.000068401234,0.00008087292,0.00022810763,0.00021036399],"domain_scores_gemma":[0.9937691,0.0017554653,0.0019248818,0.00026848834,0.0006551198,0.001627005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009093232,0.00034891765,0.0002114829,0.0003503322,0.00039154373,0.00080842245,0.00013823326,0.00025187098,0.0013260614],"category_scores_gemma":[0.005410019,0.000084123334,0.00022888914,0.00016189137,0.00031878118,0.00021353016,0.00069511286,0.0005375089,0.00019861928],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066559704,0.001484929,0.93577206,0.00007734684,0.00021440776,0.00038865794,0.0054757963,0.00046728374,0.005283588,0.00016649418,0.00041549146,0.04958828],"study_design_scores_gemma":[0.0000071107797,0.00063540065,0.99602014,0.000014749863,0.000036602512,0.00008135382,0.0021514562,0.00024235356,0.00043768054,0.000074111864,0.00029080763,0.000008309144],"about_ca_topic_score_codex":0.0004179456,"about_ca_topic_score_gemma":0.0005614341,"teacher_disagreement_score":0.0013260614,"about_ca_system_score_codex":0.00016867367,"about_ca_system_score_gemma":0.0002263327,"threshold_uncertainty_score":0.004809022},"labels":[],"label_agreement":null},{"id":"W3083768843","doi":"10.5430/rwe.v11n5p129","title":"An Incentive for Risk Taking: The Case of Banks in ASEAN 6","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Incentive; Credit risk; Business; Sample (material); Financial system; Monetary economics; Economics; Actuarial science; Microeconomics","score_opus":0.09360425778725215,"score_gpt":0.3484418739167292,"score_spread":0.2548376161294771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083768843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933729,0.00012525305,0.0005393516,0.0015705932,0.0000020254038,0.000006995355,0.00003207012,0.0000027725523,0.0043481626],"genre_scores_gemma":[0.9993462,0.00004701849,0.00011739215,0.00005697008,0.0000028481018,0.0000023253376,0.000008632035,4.951525e-7,0.000418047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997815,0.001257539,0.00007377752,0.00015835698,0.00021451889,0.00048083716],"domain_scores_gemma":[0.98554415,0.006893249,0.004606342,0.00069058227,0.0010803133,0.0011852774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004460983,0.00013286344,0.00036413936,0.0007827966,0.0013799637,0.0027439767,0.00054441276,0.0012723028,0.0037428325],"category_scores_gemma":[0.013676916,0.00016288839,0.0003334577,0.0011973291,0.0017800252,0.0018480952,0.0016777144,0.0013873918,0.00017538649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041811727,0.00056124415,0.8721547,0.00005388666,0.00021608958,0.0036303347,0.0079026865,0.017757757,0.00094166736,0.06209987,0.0031204682,0.031143261],"study_design_scores_gemma":[0.000057127214,0.00016527942,0.9067992,0.00009448103,0.00012943518,0.0012152164,0.019564023,0.037303988,0.00049525674,0.027915752,0.0061894935,0.000070775975],"about_ca_topic_score_codex":0.029495478,"about_ca_topic_score_gemma":0.041588243,"teacher_disagreement_score":0.029495478,"about_ca_system_score_codex":0.0022425787,"about_ca_system_score_gemma":0.0013502878,"threshold_uncertainty_score":0.058647573},"labels":[],"label_agreement":null},{"id":"W3087851113","doi":"10.5430/rwe.v11n6p38","title":"Factor Effecting of Durian Innovation Product of SME Industry: Study in South of Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Cruise Tourism Development and Management","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":"Business; Product (mathematics); Competition (biology); Product innovation; Marketing; Quality (philosophy); Competitive advantage; New product development; Affect (linguistics); Industrial organization","score_opus":0.2067225369034087,"score_gpt":0.41716989382086295,"score_spread":0.21044735691745425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087851113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994135,0.000042954274,0.000041834657,0.00002965489,8.459565e-7,0.000005991146,0.00002840583,5.669034e-7,0.00043629252],"genre_scores_gemma":[0.9994809,0.00008304181,0.0000498971,0.000011122882,0.0000014543939,0.0000079824395,0.00003422327,0.0000010511302,0.00033038884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991775,0.00026906666,0.00007694787,0.00012455755,0.00016947811,0.0001824138],"domain_scores_gemma":[0.9954087,0.0019488148,0.0012046356,0.00013125742,0.00049844413,0.00080804253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009045114,0.00030236627,0.00027211284,0.0007626249,0.0007557321,0.0014104835,0.0002828821,0.00031764232,0.0026363065],"category_scores_gemma":[0.0023721794,0.00022112291,0.00047355832,0.0013879503,0.0006771,0.0007355928,0.00089907116,0.00058203645,0.00025902584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012137145,0.0002703855,0.9765875,0.00011228226,0.000054145938,0.0010084594,0.014427624,0.00012567164,0.0009088742,0.0001577465,0.00012506582,0.0061009503],"study_design_scores_gemma":[0.000004383031,0.0002816511,0.96348673,0.000039790357,0.000031218435,0.000358631,0.034476202,0.00031644487,0.0003421095,0.00006842196,0.0005838675,0.000010550949],"about_ca_topic_score_codex":0.012185915,"about_ca_topic_score_gemma":0.016241461,"teacher_disagreement_score":0.012185915,"about_ca_system_score_codex":0.000701653,"about_ca_system_score_gemma":0.0014870507,"threshold_uncertainty_score":0.024229944},"labels":[],"label_agreement":null},{"id":"W3088066620","doi":"10.5430/rwe.v11n6p324","title":"Knowledge Intensive Herbal City Community Innovative Services in Thailand: Role of Solutions Provision Competence","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Innovation and Knowledge 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":"Competence (human resources); Business; Knowledge management; Questionnaire; Marketing; Management; Economics","score_opus":0.13019786428055316,"score_gpt":0.3372513095720296,"score_spread":0.20705344529147643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088066620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861989,0.00025076146,0.00026047704,0.000721856,0.0000052315686,0.000030971714,0.000027882055,0.000006129731,0.0124978125],"genre_scores_gemma":[0.99846834,0.00021233619,0.00017796904,0.0000397885,0.0000028569334,0.000006513432,0.000016234699,0.0000012239193,0.0010746851],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99898297,0.0003710942,0.000060898397,0.00006769221,0.0002503981,0.0002669088],"domain_scores_gemma":[0.994655,0.0016319464,0.0011840425,0.00011951371,0.0004938225,0.001915587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011602698,0.00015330227,0.00011446089,0.0011240853,0.0016144511,0.0035031692,0.00035449467,0.00038515564,0.004859882],"category_scores_gemma":[0.003571084,0.00012556156,0.0001286294,0.0013053872,0.00087973115,0.0016692383,0.0022172083,0.0005056717,0.00019473735],"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":[0.00020388284,0.0012751261,0.6230031,0.0009062453,0.000088284,0.004601168,0.100534685,0.0009479873,0.0035405818,0.011281053,0.0038984749,0.24971938],"study_design_scores_gemma":[0.000047913447,0.0005079291,0.69101197,0.00065808,0.00006464156,0.0016102624,0.26569438,0.004224949,0.0017881149,0.0040421844,0.030281382,0.00006821457],"about_ca_topic_score_codex":0.009142567,"about_ca_topic_score_gemma":0.016329456,"teacher_disagreement_score":0.009142567,"about_ca_system_score_codex":0.0017906987,"about_ca_system_score_gemma":0.0065282495,"threshold_uncertainty_score":0.018178701},"labels":[],"label_agreement":null},{"id":"W3088488424","doi":"10.5430/rwe.v11n5p469","title":"The Influence of Food Service Quality and Innovation Production on Local Product of Thailand: Study of Creative Agriculture","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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":"Promotion (chess); Product (mathematics); Commercialization; Business; Marketing; Customer satisfaction; Service (business); Quality (philosophy); Production (economics); Agriculture; Economics; Mathematics; Geography","score_opus":0.11655358233809796,"score_gpt":0.3340435060008619,"score_spread":0.21748992366276396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088488424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910337,0.000025445088,0.000030069148,0.000020135692,8.4864536e-7,0.0000037047726,0.000011214482,4.1508204e-7,0.00080471596],"genre_scores_gemma":[0.999485,0.00004849093,0.000026276812,0.0000073664746,0.0000015308889,0.000002909997,0.000017475808,8.7965645e-7,0.0004099285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936944,0.00025413992,0.000034739143,0.000071296075,0.00014474492,0.00012562555],"domain_scores_gemma":[0.99671316,0.0015293364,0.0006909071,0.000079580765,0.00033996825,0.0006470842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007287616,0.00020170011,0.00018309438,0.00064719067,0.00081036024,0.0019896263,0.000240689,0.0003368935,0.003187896],"category_scores_gemma":[0.0023781587,0.00017906091,0.0003395317,0.0012833416,0.0008620059,0.0006072174,0.0006608183,0.0005933823,0.00023475479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002557802,0.00067210937,0.9462905,0.00012404953,0.000078670266,0.0021127532,0.037099004,0.0003683934,0.002220162,0.00042855658,0.0001888604,0.010161105],"study_design_scores_gemma":[0.0000052941477,0.00044556352,0.9449518,0.000024872652,0.00004392899,0.0004095265,0.051972713,0.00085719454,0.00052101887,0.000116433825,0.000633513,0.000018146755],"about_ca_topic_score_codex":0.012230291,"about_ca_topic_score_gemma":0.0154461395,"teacher_disagreement_score":0.012230291,"about_ca_system_score_codex":0.00092972687,"about_ca_system_score_gemma":0.0010657132,"threshold_uncertainty_score":0.024318159},"labels":[],"label_agreement":null},{"id":"W3088733677","doi":"10.5430/rwe.v11n6p63","title":"Effect on Product Innovation and Marketing in Herbal City Community","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Marketing and Advertising 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":"Business; Marketing; Product (mathematics); Product innovation; Product marketing; New product development; Population; Marketing management; Marketing strategy; Medicine; Environmental health","score_opus":0.09011897757266141,"score_gpt":0.3360020974901083,"score_spread":0.24588311991744688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088733677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953874,0.00016234249,0.00003973236,0.00015801782,0.000005212935,0.000023479568,0.000015351796,0.000004041519,0.0042044474],"genre_scores_gemma":[0.9979956,0.00018784344,0.00015910884,0.000047143585,0.000008841138,0.000011895179,0.000017733604,0.0000017998487,0.0015702095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902296,0.00037889893,0.000036029804,0.00008910423,0.00029179428,0.00018116052],"domain_scores_gemma":[0.9956404,0.0013247542,0.0011097381,0.00015186261,0.0004928934,0.0012802605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011214723,0.00019909673,0.00017862266,0.00061322754,0.0010676638,0.0014000882,0.00025639604,0.00044719223,0.0067317006],"category_scores_gemma":[0.0037209557,0.00010304158,0.00030427254,0.0004190515,0.0005845468,0.0006309036,0.0013089143,0.00061542256,0.00030606272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008005731,0.0058627794,0.7869767,0.00038273935,0.00016731228,0.001623236,0.017570639,0.00020424418,0.008460005,0.0016338995,0.0011742909,0.17514364],"study_design_scores_gemma":[0.00003650977,0.0015431357,0.9770924,0.000086335545,0.000078148514,0.00038550035,0.012638352,0.00043549307,0.001171049,0.00045950193,0.00605061,0.000023008577],"about_ca_topic_score_codex":0.0030312382,"about_ca_topic_score_gemma":0.0053916536,"teacher_disagreement_score":0.0067317006,"about_ca_system_score_codex":0.0006273288,"about_ca_system_score_gemma":0.0011084245,"threshold_uncertainty_score":0.022519767},"labels":[],"label_agreement":null},{"id":"W3088907813","doi":"10.5430/rwe.v11n6p119","title":"Public Policy of Green Practices by Restaurants and Hotels: Case of Ecotourism in Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Promotion (chess); Business; Product (mathematics); Green innovation; Marketing; Environmentally friendly; Ecotourism; Questionnaire; Tourism; Environmental economics; Geography; Industrial organization; Economics; Political science","score_opus":0.08845433342181133,"score_gpt":0.3260152584702719,"score_spread":0.23756092504846058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088907813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886856,0.0002106076,0.00012502137,0.0017393081,0.0000075192515,0.000022788023,0.00005077042,0.0000034016816,0.0091548925],"genre_scores_gemma":[0.9982828,0.00022569277,0.00004693591,0.00006551044,0.0000032019002,0.000008733718,0.00002079095,9.65282e-7,0.0013454388],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99863535,0.0005125033,0.00003607922,0.000062230116,0.0001083324,0.00064543885],"domain_scores_gemma":[0.9972676,0.0008220684,0.00067656755,0.00006014358,0.000320282,0.0008533119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007761543,0.0001605201,0.00015273847,0.00050371763,0.003591353,0.0035595517,0.0007345337,0.0010782917,0.004408558],"category_scores_gemma":[0.001487722,0.00022033161,0.00026647354,0.0014077232,0.0015292359,0.0011272744,0.0015945194,0.001225652,0.00015436219],"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":[0.0010904238,0.0022114138,0.6304745,0.0010638267,0.00025701002,0.122459754,0.0772005,0.018591046,0.0036737444,0.09449673,0.009628349,0.03885274],"study_design_scores_gemma":[0.0000827253,0.0003816904,0.40847048,0.00038121894,0.000100262136,0.003262662,0.5463515,0.012328445,0.00075755344,0.0046825907,0.023095375,0.000105558334],"about_ca_topic_score_codex":0.17402264,"about_ca_topic_score_gemma":0.2061684,"teacher_disagreement_score":0.17402264,"about_ca_system_score_codex":0.008270385,"about_ca_system_score_gemma":0.0071563725,"threshold_uncertainty_score":0.34601945},"labels":[],"label_agreement":null},{"id":"W3088991889","doi":"10.5430/rwe.v11n5p457","title":"Green Marketing to Customer Need and Customer Satisfaction in Herbal City Community: Case of the North of Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Customer satisfaction; Marketing; Business; Customer advocacy; Customer retention; Relationship marketing; Customer delight; Customer to customer; Marketing management; Service quality","score_opus":0.04949316930453947,"score_gpt":0.28711793256455964,"score_spread":0.2376247632600202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088991889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994476,0.00011949312,0.00008138759,0.00093933736,0.00000641363,0.000012183009,0.000015510326,0.0000023123332,0.0043474156],"genre_scores_gemma":[0.99861526,0.00021165756,0.000055727945,0.00010442276,0.0000072299295,0.000005919671,0.0000106512225,0.0000019858599,0.0009870274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923134,0.00037729042,0.000022531993,0.000044239663,0.00009202127,0.00023252414],"domain_scores_gemma":[0.9982364,0.00071960315,0.00026703844,0.00003674702,0.00022124166,0.0005189054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006109279,0.00022522664,0.00024640665,0.0007193941,0.005152789,0.0027210151,0.0004943756,0.0011897456,0.0062490483],"category_scores_gemma":[0.0013043694,0.00022253706,0.0004557773,0.0016730122,0.0013467689,0.001474833,0.0018186754,0.001723667,0.00024796894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006276885,0.0022591024,0.42350057,0.00061332446,0.00014105231,0.15689887,0.34545332,0.001539678,0.0026922398,0.013156408,0.007609173,0.045508597],"study_design_scores_gemma":[0.00002929667,0.00039746222,0.14851446,0.00016627893,0.000070429625,0.010815835,0.82496536,0.0040006284,0.0005721349,0.001961766,0.008440536,0.00006581858],"about_ca_topic_score_codex":0.02832736,"about_ca_topic_score_gemma":0.043189265,"teacher_disagreement_score":0.02832736,"about_ca_system_score_codex":0.0024516117,"about_ca_system_score_gemma":0.002442321,"threshold_uncertainty_score":0.0563249},"labels":[],"label_agreement":null},{"id":"W3089067583","doi":"10.5430/rwe.v11n6p1","title":"Determining the Brand Loyalty of Health Tourism of Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","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":"Tourism; Brand loyalty; Business; Goodwill; Loyalty; Advertising; Marketing; Geography","score_opus":0.2802786105329169,"score_gpt":0.5112026765357454,"score_spread":0.23092406600282844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089067583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769044,0.0000469753,0.00006771084,0.000047257978,0.0000032301773,0.0000066125326,0.00004874816,0.0000011881741,0.0020879186],"genre_scores_gemma":[0.99914074,0.000062276406,0.00012806115,0.000014973785,0.0000017217333,0.0000044363214,0.000050451774,7.646522e-7,0.00059654925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998741,0.000039063347,0.000010028032,0.0000101289625,0.000034228702,0.000032396485],"domain_scores_gemma":[0.99949086,0.00009467103,0.00013153677,0.000015631162,0.00013262621,0.0001346801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033174764,0.0000919269,0.000078273806,0.00039873502,0.0005378559,0.000907548,0.0000930647,0.0001179517,0.0023764092],"category_scores_gemma":[0.0008633676,0.00007458104,0.000141622,0.0005540821,0.00020662195,0.00026525027,0.0003026466,0.00023840574,0.00012267563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010847951,0.0000844071,0.9628074,0.00008740147,0.00003735034,0.00034424305,0.006403717,0.00015495082,0.0013067413,0.00033429373,0.00063553033,0.027695457],"study_design_scores_gemma":[0.0000032837722,0.0001464746,0.9810255,0.00003425106,0.00002064383,0.0003021641,0.015830077,0.0006236386,0.00029162448,0.00011445614,0.0015985807,0.00000935905],"about_ca_topic_score_codex":0.013057524,"about_ca_topic_score_gemma":0.02553854,"teacher_disagreement_score":0.013057524,"about_ca_system_score_codex":0.0004359704,"about_ca_system_score_gemma":0.00058981846,"threshold_uncertainty_score":0.025963068},"labels":[],"label_agreement":null},{"id":"W3089097640","doi":"10.5430/rwe.v11n5p481","title":"Effect of Knowledge Sharing and Digital Management to Performance on Ecotourism in Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Ecotourism; Tourism; Business; Mediation; Questionnaire; Information and Communications Technology; Marketing; Tourist attraction; Geography; Computer science; Sociology","score_opus":0.03974156142547651,"score_gpt":0.3521426357123652,"score_spread":0.3124010742868887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089097640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805486,0.00004849211,0.000030439789,0.00005914485,0.0000010557907,0.0000048083207,0.000031061034,0.0000011568408,0.0017689625],"genre_scores_gemma":[0.99940133,0.00005464872,0.000027730302,0.000005333375,9.824796e-7,0.0000035654305,0.000025749096,6.204257e-7,0.0004800189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933225,0.0002411324,0.000041808882,0.000063031584,0.000121411904,0.00020032334],"domain_scores_gemma":[0.99522406,0.0017038343,0.0011791448,0.00012234693,0.00056549587,0.0012052273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023002,0.00020035799,0.00015024186,0.00059891073,0.0008580989,0.0017549035,0.00028186766,0.00020425842,0.0036307957],"category_scores_gemma":[0.003058667,0.00011322725,0.00021152283,0.001111296,0.000695716,0.00061778474,0.0010255172,0.00040778104,0.00017577405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011076599,0.00029086566,0.97353137,0.00009349608,0.00006730449,0.0007206983,0.008641405,0.00042342098,0.0004737457,0.00034879785,0.00027769766,0.0150205],"study_design_scores_gemma":[0.0000044047383,0.00013022221,0.97187763,0.000044881483,0.000025986783,0.00009925669,0.026211992,0.0006543715,0.00014945894,0.0001035964,0.00068936317,0.000008934312],"about_ca_topic_score_codex":0.05373748,"about_ca_topic_score_gemma":0.072592154,"teacher_disagreement_score":0.05373748,"about_ca_system_score_codex":0.0012103987,"about_ca_system_score_gemma":0.002580714,"threshold_uncertainty_score":0.10684943},"labels":[],"label_agreement":null},{"id":"W3089219410","doi":"10.5430/rwe.v11n5p445","title":"Effect of Product Development and Standard Product to Performance of Ecotourism: Case of Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Aspects of Tourism Research","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":"Ecotourism; Product (mathematics); Marketing; Tourism; Questionnaire; Geography; Business; Data collection; Environmental resource management; Advertising; Sociology; Social science; Environmental science","score_opus":0.04693084590090806,"score_gpt":0.36443835218270787,"score_spread":0.3175075062817998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089219410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98960894,0.00022584143,0.000119076925,0.00011064716,0.0000038508106,0.000033741297,0.000031807172,0.0000037259392,0.009862392],"genre_scores_gemma":[0.9972777,0.0001914266,0.0001615977,0.000011831623,0.0000016767596,0.00000967769,0.000027240398,0.0000020040452,0.0023169005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877375,0.0005780074,0.000050621267,0.00009653653,0.0002498145,0.00025130986],"domain_scores_gemma":[0.9961815,0.0017302124,0.0005076684,0.00011583821,0.000858945,0.00060589076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013537556,0.00027438326,0.0001830162,0.0008375922,0.0013343787,0.0027116525,0.00049134187,0.00047786525,0.006593006],"category_scores_gemma":[0.002791394,0.00013536736,0.00040909275,0.0011381172,0.0011415036,0.0011508184,0.0010415447,0.00081135274,0.0003818206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002412041,0.004265908,0.76498234,0.0016680018,0.0002640456,0.029239926,0.051374793,0.009173328,0.014624904,0.013277984,0.0032262024,0.10549056],"study_design_scores_gemma":[0.000055755452,0.0030270237,0.8319242,0.0003249584,0.00018593181,0.0017498465,0.13509688,0.008383698,0.0039710514,0.00094013923,0.014270653,0.000069856214],"about_ca_topic_score_codex":0.042697683,"about_ca_topic_score_gemma":0.047589965,"teacher_disagreement_score":0.042697683,"about_ca_system_score_codex":0.0040656077,"about_ca_system_score_gemma":0.0026115668,"threshold_uncertainty_score":0.08489829},"labels":[],"label_agreement":null},{"id":"W3089258386","doi":"10.5430/rwe.v11n6p164","title":"Determinants of Marketing Performance on Durian Product for Exporting: Study in South of Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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; Distribution (mathematics); Mediation; Product (mathematics); Promotion (chess); Marketing; Export performance; Export marketing; Advertising; Industrial organization; Mathematics","score_opus":0.1212000503235285,"score_gpt":0.3265766466620867,"score_spread":0.2053765963385582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089258386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991966,0.00003583565,0.000019365634,0.000068249836,9.994278e-7,0.0000056522067,0.000040225525,4.5964626e-7,0.00063270936],"genre_scores_gemma":[0.9992655,0.000105668936,0.000027720796,0.000019680829,0.000002197808,0.0000074249137,0.00005687531,0.0000010883654,0.00051383296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997179,0.00007873537,0.00002136924,0.000037612564,0.000060830902,0.000083577674],"domain_scores_gemma":[0.9979184,0.0005565912,0.0006298694,0.00005883985,0.00023410154,0.0006021369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049586623,0.0002290747,0.00016370772,0.00039112289,0.00071904494,0.0011278995,0.00023543126,0.0002759976,0.003920845],"category_scores_gemma":[0.0013213847,0.00016428772,0.00034313134,0.000854388,0.00040730083,0.000638365,0.00053344184,0.00075641484,0.00032843737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007644495,0.00035434915,0.9763697,0.00009260802,0.000040963987,0.0011413958,0.014686412,0.00010759143,0.0007840502,0.00020524346,0.00037035753,0.0057709673],"study_design_scores_gemma":[0.0000035611943,0.00017377787,0.96860987,0.00003857937,0.000021943992,0.0003892718,0.029346686,0.00030770758,0.00020258494,0.00004852982,0.0008486851,0.000008769334],"about_ca_topic_score_codex":0.0146026,"about_ca_topic_score_gemma":0.02057395,"teacher_disagreement_score":0.0146026,"about_ca_system_score_codex":0.00057224,"about_ca_system_score_gemma":0.0009760211,"threshold_uncertainty_score":0.02903521},"labels":[],"label_agreement":null},{"id":"W3090019366","doi":"10.5430/rwe.v11n5p334","title":"The Impact of Non-banking Credit Organization Credits on Economic Growth in Azerbaijan","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Monetary Policy and Economic Impact","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; Ordinary least squares; Position (finance); Economics; Financial system; Business; Monetary economics; Finance; Econometrics","score_opus":0.1309122613892219,"score_gpt":0.32499248403087916,"score_spread":0.19408022264165725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090019366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964096,0.00072019245,0.00003162353,0.00039097486,0.000013731768,0.0000045546844,0.00017755736,0.0000053179524,0.0022463375],"genre_scores_gemma":[0.99877983,0.0005595152,0.000023891607,0.000024675857,0.000011869463,0.0000017858382,0.00013863918,0.0000012047776,0.00045856487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999701,0.000071661365,0.000018349465,0.00003290695,0.000057363985,0.00011872477],"domain_scores_gemma":[0.9994388,0.00013487166,0.00018892773,0.000018354469,0.000109989116,0.0001090096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003908795,0.00023547413,0.00029432453,0.0010347102,0.0003213146,0.0015730559,0.00026403336,0.00027635306,0.0018771152],"category_scores_gemma":[0.0013030166,0.0000794692,0.00028515665,0.001283036,0.0005034855,0.0005149068,0.00088600535,0.0004315883,0.00016065055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019154401,0.0002089037,0.9574349,0.00013759003,0.0001171162,0.0021483903,0.0014193805,0.005831173,0.0017069218,0.0040825526,0.0018940783,0.024827432],"study_design_scores_gemma":[0.000011865854,0.00004868137,0.99156415,0.00003917766,0.00004703247,0.000109973116,0.0025039446,0.0020713392,0.00032418317,0.0004330234,0.0028384018,0.000008183899],"about_ca_topic_score_codex":0.08036373,"about_ca_topic_score_gemma":0.0715143,"teacher_disagreement_score":0.08036373,"about_ca_system_score_codex":0.0019805715,"about_ca_system_score_gemma":0.001898881,"threshold_uncertainty_score":0.15979189},"labels":[],"label_agreement":null},{"id":"W3090374104","doi":"10.5430/rwe.v11n5p380","title":"Relationships Between Source Capacity, Value to Use, Value for Money and Loyalty of Visitors for Tourism Destination in Vietnam","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Diverse Aspects of Tourism Research","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":"Loyalty; Marketing; Value (mathematics); Tourism; Competitive advantage; Business; Scale (ratio); Loyalty business model; Advertising; Geography; Computer science","score_opus":0.26329904694430073,"score_gpt":0.41165413426329195,"score_spread":0.14835508731899122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090374104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988826,0.000028225222,0.000024847246,0.000030374666,0.0000011955135,0.0000027653718,0.000024839617,6.5923496e-7,0.0010044717],"genre_scores_gemma":[0.9996681,0.000018454648,0.00002482783,0.0000057011507,5.413833e-7,0.000002076827,0.0000257259,4.5113208e-7,0.00025404527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997309,0.000082755716,0.00002381322,0.000025811192,0.00006625902,0.00007047803],"domain_scores_gemma":[0.9980532,0.0007605832,0.00032729955,0.000036955335,0.0003195951,0.00050237065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048345746,0.00007624609,0.000098198056,0.0006912358,0.00040072738,0.00089099904,0.00017365123,0.00019298393,0.0020572657],"category_scores_gemma":[0.002225386,0.00008500326,0.00014654288,0.0006138012,0.0004160905,0.00033636353,0.00038845974,0.00035325854,0.000086520275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026511276,0.00006556744,0.9935935,0.000016780099,0.000020438049,0.00012775719,0.0023006075,0.000113898655,0.00015040228,0.00033664668,0.0001492542,0.0030987274],"study_design_scores_gemma":[0.0000015807797,0.000055543795,0.987163,0.000013224261,0.000007914254,0.00012639533,0.011466621,0.00044799116,0.0000642682,0.00008934703,0.0005574657,0.000006650706],"about_ca_topic_score_codex":0.025365788,"about_ca_topic_score_gemma":0.029101517,"teacher_disagreement_score":0.025365788,"about_ca_system_score_codex":0.00057763845,"about_ca_system_score_gemma":0.00057855475,"threshold_uncertainty_score":0.050436318},"labels":[],"label_agreement":null},{"id":"W3090969985","doi":"10.5430/rwe.v11n5p409","title":"How AI, Data Science and Technology Is Used to Fight the Pandemic COVID-19: Case Study in Saudi Arabia Environment","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"COVID-19 Pandemic Impacts","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":true,"ca_institutions":"","funders":"Ant Financial Services Group; Tencent","keywords":"China; Battle; Pandemic; Coronavirus disease 2019 (COVID-19); Politics; Coronavirus; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Quarter (Canadian coin); Political science; Economic growth; Development economics; Business; Geography; Economics; History; Virology; Law; Ancient history; Medicine; Outbreak","score_opus":0.32884160298086007,"score_gpt":0.4016242628089956,"score_spread":0.07278265982813553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090969985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602784,0.0016481024,0.0006495743,0.009322936,0.000049415943,0.000045793942,0.00008799244,0.000010409471,0.0279073],"genre_scores_gemma":[0.9949221,0.0013337686,0.00048272137,0.0003877579,0.00002757034,0.0000066485845,0.000035140736,0.0000043588843,0.002799956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906737,0.0004819496,0.00003153307,0.000030932304,0.00011313661,0.00027501496],"domain_scores_gemma":[0.9985917,0.00054317364,0.00014988246,0.000056725195,0.00025576624,0.00040265697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013481799,0.00027291387,0.00017646696,0.0010140226,0.0035875123,0.0029446532,0.00060971826,0.0022649998,0.001962302],"category_scores_gemma":[0.0020779695,0.000114315044,0.00028120627,0.0010441954,0.002116929,0.0013112456,0.0021309198,0.0013693254,0.000266453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010084474,0.002393523,0.30044353,0.0008815623,0.00023907126,0.1991251,0.11130286,0.027253486,0.004997597,0.22521928,0.03536925,0.09176634],"study_design_scores_gemma":[0.00014733712,0.00086918,0.119317025,0.0007907486,0.00014748937,0.02546952,0.54040086,0.033068765,0.0050288523,0.024266895,0.25033814,0.00015522132],"about_ca_topic_score_codex":0.05062299,"about_ca_topic_score_gemma":0.05715183,"teacher_disagreement_score":0.05062299,"about_ca_system_score_codex":0.0037627725,"about_ca_system_score_gemma":0.0021531517,"threshold_uncertainty_score":0.10065669},"labels":[],"label_agreement":null},{"id":"W3091644773","doi":"10.5430/rwe.v11n5p388","title":"How Effective Is the Monetary Policy on the Real Sector in Nigeria?","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Monetary policy; Credit channel; Economics; Monetary economics; Public sector; Order (exchange); Interest rate channel; Asset (computer security); Financial system; Inflation targeting; Macroeconomics; Business; Finance; Economy","score_opus":0.1714601011600815,"score_gpt":0.3105910935057066,"score_spread":0.13913099234562507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091644773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.729713,0.07486292,0.0027310476,0.06756983,0.0015887441,0.00004607045,0.00017932293,0.000029014902,0.12328005],"genre_scores_gemma":[0.98315907,0.014575127,0.00026321938,0.00069223397,0.00014993269,0.000004927505,0.000012785388,0.0000037908974,0.0011389469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998478,0.0009729925,0.000070214715,0.0000938298,0.0001627765,0.00022210392],"domain_scores_gemma":[0.9964952,0.0019899854,0.0008246274,0.00007260677,0.00038801058,0.00022966086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027684844,0.0003230833,0.00038236426,0.00079551653,0.0010794649,0.0057044816,0.0003431022,0.001517953,0.0030793105],"category_scores_gemma":[0.0082577,0.00019626609,0.0001358954,0.00079516973,0.0017684115,0.0039455267,0.00080895185,0.0011936983,0.00036214027],"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":[0.0011599032,0.0005177504,0.11765366,0.0021628211,0.00022740621,0.0027421284,0.005879629,0.014563627,0.003120419,0.5226472,0.0107837105,0.31854174],"study_design_scores_gemma":[0.00027840532,0.00092507456,0.375222,0.011671788,0.0005802571,0.0014295432,0.05794751,0.028880687,0.0059689293,0.31322736,0.20361932,0.0002490697],"about_ca_topic_score_codex":0.006095427,"about_ca_topic_score_gemma":0.0049892263,"teacher_disagreement_score":0.006095427,"about_ca_system_score_codex":0.001930689,"about_ca_system_score_gemma":0.00282525,"threshold_uncertainty_score":0.014641345},"labels":[],"label_agreement":null},{"id":"W3091960195","doi":"10.5430/rwe.v11n6p76","title":"Conceptual Image of Intellectual Optimization Technology for Anti-crisis Tax Management Innovations in Relation to High-Tech Enterprises","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Taxpayer; Macro; High tech; Context (archaeology); Variety (cybernetics); Relation (database); Business; Computer science; Industrial organization; Economics; Economic system; Risk analysis (engineering); Political science; Macroeconomics; Artificial intelligence; Law","score_opus":0.08380821547480163,"score_gpt":0.36691738249251593,"score_spread":0.28310916701771427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091960195","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":[0.09204531,0.0027946057,0.22461858,0.007377717,0.0002827151,0.00024885088,0.00013897993,0.00024664658,0.6722465],"genre_scores_gemma":[0.9531687,0.0010411721,0.02441004,0.00017602653,0.000080169666,0.0001820321,0.000044235738,0.000038401828,0.02085927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991561,0.00039478394,0.000037488506,0.00015352633,0.0001471214,0.00011094964],"domain_scores_gemma":[0.9993581,0.00021096406,0.00011736814,0.00010085936,0.00010468348,0.000108006694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001083212,0.00037275156,0.00020818936,0.0017826342,0.0020597214,0.007598444,0.0008631829,0.0016408813,0.005778526],"category_scores_gemma":[0.0012637657,0.00021439903,0.00043959604,0.0014373336,0.008591665,0.0046800585,0.001811716,0.0014540504,0.0007217217],"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":[0.000003058051,0.0000065370264,0.000116441945,0.000013169414,0.000001196793,0.000060707753,0.00039875397,0.00069044536,0.00010177665,0.9969246,0.0001644745,0.0015188275],"study_design_scores_gemma":[0.00001820502,0.00007025804,0.0013741925,0.00013890464,0.00001926455,0.000518054,0.0027654273,0.018491387,0.0007411728,0.9110242,0.06482018,0.000018680497],"about_ca_topic_score_codex":0.0015135126,"about_ca_topic_score_gemma":0.000875748,"teacher_disagreement_score":0.007598444,"about_ca_system_score_codex":0.0044511803,"about_ca_system_score_gemma":0.0025594498,"threshold_uncertainty_score":0.032295763},"labels":[],"label_agreement":null},{"id":"W3092006527","doi":"10.5430/rwe.v11n6p12","title":"How Are Company Size, Financial Performance and Corporate Governance Related to Directors' Remuneration?","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Remuneration; Accounting; Business; Corporate governance; Leverage (statistics); Stratified sampling; Finance; Statistics","score_opus":0.06283583378761548,"score_gpt":0.2562025532074988,"score_spread":0.19336671941988332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092006527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946371,0.0015961742,0.00020452696,0.0007140235,0.00002211893,0.000014315279,0.0000887046,0.0000049640057,0.002718071],"genre_scores_gemma":[0.999191,0.00024736932,0.00007590895,0.00005103849,0.00002161524,0.0000049229193,0.00006329331,0.0000011235628,0.00034377383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986706,0.0005379888,0.000098148426,0.00023179824,0.00024098216,0.00022065207],"domain_scores_gemma":[0.98488533,0.00518354,0.0068844547,0.00036084122,0.0008077864,0.0018781112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022279592,0.00025811122,0.00034275927,0.0011349932,0.00031541524,0.0010541726,0.00042001248,0.0007033666,0.0023305635],"category_scores_gemma":[0.009445325,0.00017071237,0.00052834366,0.0008751208,0.0007878078,0.0010772379,0.0005263178,0.00076086744,0.00039930808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023928293,0.00006034545,0.99460214,0.000015467162,0.000072491646,0.00006238394,0.00021934029,0.00008905815,0.000047794758,0.00014777764,0.00012620687,0.004533086],"study_design_scores_gemma":[0.000001595511,0.000051547977,0.99884844,0.00001779951,0.00002110038,0.000048274112,0.0004092281,0.00020943258,0.000031531898,0.000117551965,0.0002396181,0.0000039245692],"about_ca_topic_score_codex":0.0054143495,"about_ca_topic_score_gemma":0.008212657,"teacher_disagreement_score":0.0054143495,"about_ca_system_score_codex":0.0005450246,"about_ca_system_score_gemma":0.00079810683,"threshold_uncertainty_score":0.011782706},"labels":[],"label_agreement":null},{"id":"W3092071374","doi":"10.5430/rwe.v11n5p420","title":"Egypt Within the Sustainable Development Goals One and Two of the United Nations: Overview and Recommendations Thereof","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Income, Poverty, and Inequality","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":"Poverty; Sustainable development; Economic growth; Quality (philosophy); Resource (disambiguation); Process (computing); Economics; Business; Political science; Public economics; Development economics; Computer science","score_opus":0.22578451486962262,"score_gpt":0.4285296455622813,"score_spread":0.20274513069265868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092071374","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":[0.002085605,0.80515677,0.0049507353,0.106912844,0.0091581065,0.0009328288,0.0026441128,0.00032130245,0.067837626],"genre_scores_gemma":[0.014064158,0.876627,0.027889503,0.020328656,0.0019454104,0.0010964219,0.003920279,0.000093870105,0.054034647],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987993,0.00033015505,0.00018369046,0.000073052375,0.0004143126,0.00019934599],"domain_scores_gemma":[0.99757344,0.00032988575,0.00033707774,0.00007477251,0.0013628299,0.00032201599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004451857,0.0015063824,0.0008366494,0.006258768,0.0008614464,0.0038187364,0.0016261798,0.0035055603,0.006071223],"category_scores_gemma":[0.0031585176,0.0004708531,0.00065552176,0.0060459743,0.0008849048,0.004196985,0.0026217727,0.0026796141,0.0030864784],"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":[0.000069490256,0.00025724285,0.0030346757,0.0094797565,0.000060003546,0.00038012228,0.00065766263,0.0014427465,0.0007286959,0.029325552,0.47615668,0.4784074],"study_design_scores_gemma":[0.000006290668,0.00003620906,0.0031459702,0.0075284094,0.00003940891,0.00012483784,0.0011986907,0.00015951949,0.00025002487,0.0043174704,0.98316133,0.000031792068],"about_ca_topic_score_codex":0.030181162,"about_ca_topic_score_gemma":0.044114374,"teacher_disagreement_score":0.030181162,"about_ca_system_score_codex":0.005020171,"about_ca_system_score_gemma":0.024163833,"threshold_uncertainty_score":0.06001097},"labels":[],"label_agreement":null},{"id":"W3092270090","doi":"10.5430/rwe.v11n6p27","title":"Slow Fashion in Indonesia: Drivers and Outcomes of Slow Fashion Orientations","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Consumer Behavior in Brand Consumption and Identification","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":"Universitas Negeri Jakarta","keywords":"Willingness to pay; Value (mathematics); Structural equation modeling; Social value orientations; Business; Marketing; Exploratory factor analysis; Psychology; Advertising; Social psychology; Economics; Microeconomics","score_opus":0.09092587167075956,"score_gpt":0.331345088279249,"score_spread":0.24041921660848947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092270090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817216,0.000031516563,0.000053768315,0.000043236985,0.0000029447476,0.000005308589,0.000030471598,0.0000010601425,0.001659455],"genre_scores_gemma":[0.99932575,0.000059048445,0.00008142005,0.000012300398,0.0000026984414,0.0000035864405,0.000032703858,0.000001234399,0.0004812362],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9997601,0.000050740022,0.000022519313,0.000026983722,0.00007573093,0.000064016676],"domain_scores_gemma":[0.9983462,0.00026669237,0.00092715345,0.000058499743,0.00013311401,0.000268437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044774183,0.00017868535,0.0001445041,0.0005540029,0.00037000971,0.0012207802,0.00016749009,0.00026004162,0.003520629],"category_scores_gemma":[0.0013213251,0.00014828687,0.00028469675,0.00064756424,0.00037243118,0.00048214925,0.00042273087,0.000818164,0.00034029907],"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":[0.000039213697,0.00017376173,0.99336547,0.0000202382,0.000012315272,0.00030668124,0.0010885643,0.000029866596,0.00045873842,0.00022205779,0.00008732839,0.004195699],"study_design_scores_gemma":[0.000001217765,0.000060963357,0.9935586,0.000013174107,0.0000109700295,0.00027538164,0.005132413,0.00026538866,0.00012977562,0.00014632984,0.00039970357,0.0000060647344],"about_ca_topic_score_codex":0.0028909608,"about_ca_topic_score_gemma":0.005991443,"teacher_disagreement_score":0.003520629,"about_ca_system_score_codex":0.00034889203,"about_ca_system_score_gemma":0.0003187225,"threshold_uncertainty_score":0.011777699},"labels":[],"label_agreement":null},{"id":"W3092281114","doi":"10.5430/rwe.v11n6p96","title":"Audit Lag Criteria Report as a Determination of the Reliability and Quality of Auditor's Report in Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Nonprobability sampling; Solvency; Accounting; Audit; Profitability index; Business; Moderation; Auditor's report; Quality audit; Reputation; Walk-through test; Audit evidence; Joint audit; Market liquidity; Statistics; Internal audit; Finance; Mathematics; Medicine","score_opus":0.09418372586743409,"score_gpt":0.34689775231038383,"score_spread":0.2527140264429497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092281114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98763615,0.0005300509,0.0011531498,0.0003365947,0.000064205495,0.00008707789,0.0013268103,0.000049542905,0.00881644],"genre_scores_gemma":[0.9985108,0.00012266696,0.00033405094,0.000014908065,0.000014514539,0.00001892376,0.0003820217,0.000006912541,0.0005952116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9891528,0.0019140993,0.002310142,0.000578446,0.0054508275,0.000593767],"domain_scores_gemma":[0.9023989,0.02049432,0.052395295,0.004207885,0.017816162,0.0026874738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0093185045,0.00016193785,0.00023779846,0.003876825,0.00045309303,0.0020383515,0.00042984885,0.00024447605,0.0017894937],"category_scores_gemma":[0.037108652,0.00018004603,0.00024443594,0.0044141933,0.0005733305,0.0008904846,0.001010145,0.00053331244,0.0003092053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006431352,0.000034405708,0.98517215,0.00006909928,0.000018778002,0.00006697071,0.0007149662,0.00019295169,0.00018997947,0.00030258624,0.0009086833,0.012265189],"study_design_scores_gemma":[0.0000035332496,0.00006269169,0.99440694,0.000070371105,0.000016762413,0.0001397592,0.001472752,0.0008351003,0.00054040394,0.00021472876,0.002224453,0.000012547429],"about_ca_topic_score_codex":0.008494563,"about_ca_topic_score_gemma":0.009997899,"teacher_disagreement_score":0.0093185045,"about_ca_system_score_codex":0.0013025512,"about_ca_system_score_gemma":0.0019548927,"threshold_uncertainty_score":0.049281538},"labels":[],"label_agreement":null},{"id":"W3092321892","doi":"10.5430/rwe.v11n5p433","title":"Methodology of Internal Corporate Distribution of External Orders","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Technological Systems 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":"Cognitive dissonance; Subjectivity; Corporation; Mechanism (biology); Presentation (obstetrics); Distribution (mathematics); Business; Order (exchange); Industrial organization; Process management; Epistemology; Psychology; Mathematics; Finance","score_opus":0.2798457169508946,"score_gpt":0.34670378885935355,"score_spread":0.06685807190845894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092321892","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":[0.0056980764,0.0002638246,0.961221,0.00019109578,0.000048978938,0.00016311792,0.00016531229,0.00025831102,0.03199033],"genre_scores_gemma":[0.28135785,0.00087241497,0.6906155,0.0001247478,0.00015366603,0.00069325283,0.00059882685,0.0002682425,0.025315484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971288,0.0011558706,0.00018071308,0.00058448105,0.0007726003,0.00017759709],"domain_scores_gemma":[0.9970566,0.0009382902,0.00024726428,0.0006498791,0.0010044219,0.00010349382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031404046,0.00056449015,0.00056188856,0.004532632,0.001175855,0.004719787,0.001818131,0.00071610714,0.013439946],"category_scores_gemma":[0.0073230937,0.0004225387,0.0010318259,0.003482913,0.0023451273,0.0036212793,0.0023236133,0.0012269532,0.002493209],"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":[0.00001940523,0.000029899571,0.0017743959,0.00013375403,0.000026082751,0.00016616285,0.0011654848,0.006691706,0.0009749871,0.8760737,0.0019414339,0.11100307],"study_design_scores_gemma":[0.000049399947,0.000117188945,0.003558858,0.000273942,0.000079992016,0.0007274461,0.002189218,0.17749153,0.005060178,0.69495106,0.11544451,0.000056692283],"about_ca_topic_score_codex":0.0031096782,"about_ca_topic_score_gemma":0.0017790333,"teacher_disagreement_score":0.013439946,"about_ca_system_score_codex":0.0020157383,"about_ca_system_score_gemma":0.003185418,"threshold_uncertainty_score":0.044961095},"labels":[],"label_agreement":null},{"id":"W3092366819","doi":"10.5430/rwe.v11n6p139","title":"Relationship Between Governance and Trade: Evidence From Sub-Saharan African Countries","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Universiti Putra Malaysia","keywords":"Language change; Corporate governance; Economics; Index (typography); Political instability; International economics; Developing country; Panel data; Population; Politics; Good governance; Development economics; International trade; Economic growth; Political science; Finance","score_opus":0.24940410352652875,"score_gpt":0.32517385944123073,"score_spread":0.07576975591470198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092366819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99098295,0.0037829704,0.0001610682,0.00049037253,0.000014050139,0.0000055149626,0.0008677066,0.0000030880724,0.003692319],"genre_scores_gemma":[0.99716115,0.0020309032,0.00005315266,0.00004409701,0.00001433712,0.0000034298027,0.00046443302,0.0000016882506,0.0002267467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962854,0.00012860478,0.00004029622,0.00005147697,0.00005533502,0.00009583673],"domain_scores_gemma":[0.9948848,0.0013988364,0.0028832287,0.00021006363,0.00034306876,0.00027986255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007779522,0.00015287164,0.00022471012,0.0016150299,0.00040265755,0.0010424947,0.00015128667,0.00023684088,0.0021852083],"category_scores_gemma":[0.0035763613,0.0001279068,0.0002790885,0.004452624,0.0005039976,0.00069985254,0.0007619943,0.00033662596,0.0001946091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004939899,0.000022201515,0.9885394,0.00009037341,0.00010736347,0.000242964,0.0010727919,0.0002665027,0.00006856442,0.0010702667,0.000585059,0.007884998],"study_design_scores_gemma":[0.000003419101,0.00002521978,0.9935334,0.00011046982,0.00004995989,0.00013447311,0.002027925,0.00017121408,0.00008509209,0.00027969413,0.0035756198,0.0000035407325],"about_ca_topic_score_codex":0.006864984,"about_ca_topic_score_gemma":0.0090894215,"teacher_disagreement_score":0.006864984,"about_ca_system_score_codex":0.00025576344,"about_ca_system_score_gemma":0.00031756994,"threshold_uncertainty_score":0.01365006},"labels":[],"label_agreement":null},{"id":"W3092373565","doi":"10.5430/rwe.v11n6p155","title":"Accounting Implications of Micro-Fiscal Measures and Quality of Real Gross National Goods and Services: Empirical Evidence From Nigeria","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","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":"Goods and services; Gross domestic product; Economics; Fiscal year; Gross fixed capital formation; Fiscal policy; National accounts; Quality (philosophy); Public economics; Macroeconomics; Accounting; Business; Finance; Economy","score_opus":0.40751460272926104,"score_gpt":0.4146553182879623,"score_spread":0.007140715558701272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092373565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860854,0.008591103,0.00021737396,0.000642646,0.000021368014,0.000014761241,0.0007017985,0.0000025564004,0.003722904],"genre_scores_gemma":[0.99414057,0.0049086823,0.0001851574,0.0000248252,0.000010784723,0.0000036610293,0.00028043386,9.834254e-7,0.0004449097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995815,0.000082473445,0.00009088992,0.000042860782,0.00014856961,0.00005364495],"domain_scores_gemma":[0.9929952,0.0018705723,0.0036987849,0.00015561486,0.0010925295,0.00018723642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013047333,0.00012510014,0.0001568471,0.0017902914,0.00033726761,0.0012216014,0.00016975193,0.00018072197,0.0008650008],"category_scores_gemma":[0.0053450963,0.00010710499,0.00021822624,0.0037110748,0.00042100443,0.00089180836,0.00051616307,0.000389735,0.000098311044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008990896,0.00003892866,0.96319073,0.00040941493,0.000049718303,0.0005832641,0.0018068386,0.00079812587,0.0003041981,0.0026734264,0.00056434126,0.02949117],"study_design_scores_gemma":[0.000001857535,0.00005531375,0.98530453,0.00036379215,0.000063588246,0.00033681677,0.0052997745,0.0008072217,0.0006998868,0.0005224393,0.006532759,0.0000119510105],"about_ca_topic_score_codex":0.023348883,"about_ca_topic_score_gemma":0.04716897,"teacher_disagreement_score":0.023348883,"about_ca_system_score_codex":0.0013253235,"about_ca_system_score_gemma":0.0016200591,"threshold_uncertainty_score":0.04642594},"labels":[],"label_agreement":null},{"id":"W3092377971","doi":"10.5430/rwe.v11n6p51","title":"Macroeconomic Policy Effectiveness and the Informal Economy in Nigeria: A DSGE Approach","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Dynamic stochastic general equilibrium; Informal sector; Economics; Monetary policy; Shock (circulatory); Macroeconomics; New Keynesian economics; Business cycle; Merge (version control); Economy; Market economy","score_opus":0.080321527012544,"score_gpt":0.3117850968013414,"score_spread":0.23146356978879742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092377971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55401266,0.004983384,0.35821563,0.005607989,0.0003734312,0.00037076778,0.0011640099,0.00017115327,0.075100966],"genre_scores_gemma":[0.96406907,0.00392063,0.025080394,0.00017596265,0.00007645549,0.00017720243,0.00022775774,0.0000310255,0.006241557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999443,0.00035315112,0.00003153295,0.000056782428,0.00006606871,0.000049346418],"domain_scores_gemma":[0.99889094,0.000644478,0.00022644705,0.000048043858,0.00013487886,0.000055178614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013989807,0.00049898704,0.001007741,0.0012861651,0.00044015393,0.0026941053,0.00050433306,0.0012256212,0.0025737626],"category_scores_gemma":[0.003093085,0.00032859336,0.00084172585,0.0008717469,0.0007062514,0.0015193361,0.001566874,0.001287267,0.00015870157],"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":[0.00006836253,0.00008129959,0.009421376,0.00015702561,0.00020089686,0.0005025495,0.0002415905,0.6515795,0.00051323615,0.32596347,0.0010245363,0.010246165],"study_design_scores_gemma":[0.000037762737,0.00009602555,0.0025858684,0.00009460337,0.00013532813,0.00010972152,0.0005398113,0.90459657,0.00022704125,0.08507786,0.0064617093,0.00003775568],"about_ca_topic_score_codex":0.01230377,"about_ca_topic_score_gemma":0.009704342,"teacher_disagreement_score":0.01230377,"about_ca_system_score_codex":0.0016134768,"about_ca_system_score_gemma":0.00166028,"threshold_uncertainty_score":0.02446431},"labels":[],"label_agreement":null},{"id":"W3092426819","doi":"10.5430/rwe.v11n6p177","title":"Institutional Investors Ownership and Financial Performance: Examining the Nexus in Nigerian Deposit Money Banks","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Nexus (standard); Business; Stock exchange; Shareholder; Financial system; Institutional investor; Panel data; Accounting; Finance; Monetary economics; Corporate governance; Economics","score_opus":0.09457702726734686,"score_gpt":0.2706299607393262,"score_spread":0.17605293347197937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092426819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988023,0.0002143138,0.000015842745,0.00011882829,0.0000022745432,0.0000026717782,0.000043620872,3.0782215e-7,0.0007998689],"genre_scores_gemma":[0.99956733,0.00015455001,0.000014305369,0.000010638261,0.000004763518,0.0000014681983,0.000048556198,1.9752066e-7,0.00019817191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996288,0.00009997182,0.000049412578,0.000039569593,0.000069823465,0.00011237261],"domain_scores_gemma":[0.9968741,0.00078723097,0.0016340127,0.00005370653,0.0002746319,0.00037632033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076693855,0.000152621,0.0001810614,0.000938226,0.00049860595,0.0014556069,0.00021077249,0.00044460877,0.0021057525],"category_scores_gemma":[0.0023603262,0.00012259472,0.00018187189,0.0010539452,0.00044510447,0.0009092274,0.00088887603,0.0005726579,0.00024124335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004333135,0.00006830885,0.99670154,0.000010660842,0.000018909423,0.00016852612,0.00040228173,0.00008648102,0.00007929295,0.00022912862,0.00008589645,0.0021056326],"study_design_scores_gemma":[0.000003022539,0.00006141463,0.9955584,0.000046253357,0.000029447341,0.00011978699,0.003040158,0.00051812816,0.00012588468,0.00012952705,0.00036414026,0.0000040104164],"about_ca_topic_score_codex":0.010757081,"about_ca_topic_score_gemma":0.02168417,"teacher_disagreement_score":0.010757081,"about_ca_system_score_codex":0.00061997515,"about_ca_system_score_gemma":0.00066986424,"threshold_uncertainty_score":0.021388948},"labels":[],"label_agreement":null},{"id":"W3092434420","doi":"10.5430/rwe.v11n6p108","title":"Optimal Tax Behaviour and Corporate Survival: The Nigeria Experience","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Descriptive statistics; Normality test; Normality; Test (biology); Outlier; Taxpayer; Accounting; Business; Actuarial science; Economics; Econometrics; Statistical hypothesis testing; Statistics; Mathematics; Biology","score_opus":0.16919698278539283,"score_gpt":0.32282664792645666,"score_spread":0.15362966514106383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092434420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967284,0.00025242838,0.000027793469,0.00050737866,0.000008308837,0.0000019957702,0.0000060285442,5.3531886e-7,0.0024670062],"genre_scores_gemma":[0.9988758,0.00034044817,0.000015856032,0.00004047096,0.0000019865543,5.809417e-7,0.0000038135017,6.327001e-7,0.0007204075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970764,0.00012654056,0.000015911715,0.000019258503,0.000034680812,0.0000958498],"domain_scores_gemma":[0.9990752,0.0002443178,0.0002102998,0.000029421222,0.00009771244,0.00034302534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007482879,0.00009327304,0.00013496805,0.00031003595,0.0023813783,0.0015763178,0.00016697025,0.0004003818,0.0016959034],"category_scores_gemma":[0.0018676886,0.000086069485,0.00006475935,0.000407956,0.0014316794,0.001305493,0.001039769,0.00076032564,0.00011443994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002341544,0.00058104686,0.59776473,0.0000999337,0.000013626784,0.0048971144,0.3031265,0.0003914436,0.0009300816,0.019451205,0.003268001,0.069242194],"study_design_scores_gemma":[0.000013915491,0.00033696665,0.30298844,0.0003255265,0.000015562528,0.003447489,0.64033073,0.00060316175,0.00063455454,0.0034707428,0.047796503,0.000036380425],"about_ca_topic_score_codex":0.010124604,"about_ca_topic_score_gemma":0.022768809,"teacher_disagreement_score":0.010124604,"about_ca_system_score_codex":0.001061363,"about_ca_system_score_gemma":0.0013459624,"threshold_uncertainty_score":0.02013135},"labels":[],"label_agreement":null},{"id":"W3092640339","doi":"10.5430/rwe.v11n6p131","title":"The Effects of Financial Performance on Stock Returns: Evidence of Machine and Heavy Equipment Companies in Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Financial Analysis and Corporate Governance","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":"Stock exchange; Stock (firearms); Return on assets; Debt-to-equity ratio; Business; Current ratio; Monetary economics; Return on equity; Debt ratio; Panel data; Inventory turnover; Economics; Econometrics; Financial system; Finance; Debt","score_opus":0.05813258267366485,"score_gpt":0.2814950492573583,"score_spread":0.22336246658369346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092640339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990772,0.00015674996,0.000017923827,0.00009316987,0.0000030288081,0.000001620433,0.00014704301,0.0000011278308,0.0005021996],"genre_scores_gemma":[0.9994499,0.00013266582,0.000014437157,0.000014416355,0.0000072989583,0.0000010852815,0.00016616346,6.039971e-7,0.00021336156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996438,0.00006307758,0.000055318767,0.000056740944,0.00010380492,0.00007732091],"domain_scores_gemma":[0.99706775,0.0003889339,0.0018699556,0.000077482364,0.00024977556,0.00034623194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048742042,0.00017928437,0.00018149008,0.00067744596,0.00022466043,0.00080973195,0.00021732984,0.00031938805,0.0011762942],"category_scores_gemma":[0.0016143664,0.00012256432,0.0002691315,0.00087416486,0.0002576834,0.00046545613,0.00040065384,0.0005910804,0.0003030075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036467296,0.000045510624,0.9976031,0.0000063356883,0.000023377317,0.00012577588,0.00010737476,0.000047099795,0.000114713504,0.000028899858,0.0000937297,0.0017676519],"study_design_scores_gemma":[6.577325e-7,0.000025597885,0.9995396,0.0000028710665,0.0000069439307,0.000038619113,0.00016517728,0.00008472599,0.000042550244,0.000009454802,0.0000824089,0.0000013970166],"about_ca_topic_score_codex":0.009307774,"about_ca_topic_score_gemma":0.01477906,"teacher_disagreement_score":0.009307774,"about_ca_system_score_codex":0.0003449137,"about_ca_system_score_gemma":0.00032397624,"threshold_uncertainty_score":0.018507183},"labels":[],"label_agreement":null},{"id":"W3092665889","doi":"10.5430/rwe.v11n5p361","title":"Assessing the Islamic Banks Performance in the Gulf Cooperation Council Countries: An Empirical Study","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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; Panel data; Generalized method of moments; Regression analysis; Sharia; Accounting; Business; Empirical research; Population; Variables; Economics; Financial system; Classical economics; Econometrics; Statistics; Geography; Mathematics; Sociology","score_opus":0.1736953166244287,"score_gpt":0.37091853787471224,"score_spread":0.19722322125028355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092665889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910706,0.00005534187,0.00003119661,0.00005007767,0.0000019597094,0.0000067007268,0.00007945636,8.943423e-7,0.0006673827],"genre_scores_gemma":[0.9991122,0.0001574347,0.00010212165,0.000025679636,0.000008731092,0.00000789691,0.00021956256,6.118292e-7,0.00036571347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927634,0.0002226343,0.000067806315,0.00008451995,0.00019667805,0.00015212198],"domain_scores_gemma":[0.9967349,0.001022898,0.0011975758,0.00012581654,0.0005595792,0.00035926537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014949804,0.00029266745,0.0002095208,0.0015791149,0.0005197872,0.0011559476,0.00025338432,0.00048029562,0.0017059061],"category_scores_gemma":[0.0028013187,0.00015034174,0.00025262206,0.0018779446,0.0008905576,0.00066644535,0.000593636,0.00071608595,0.00039555144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052273717,0.00026781438,0.98888576,0.000035430665,0.000026533737,0.0002591205,0.0023218377,0.00042457902,0.00015671927,0.00034369362,0.00049076066,0.0067354287],"study_design_scores_gemma":[0.0000046513705,0.00017149093,0.9857087,0.00006274933,0.000026668464,0.00015976756,0.011510596,0.000900086,0.00023986949,0.00008824609,0.0011169886,0.000010047113],"about_ca_topic_score_codex":0.0073009906,"about_ca_topic_score_gemma":0.008387661,"teacher_disagreement_score":0.0073009906,"about_ca_system_score_codex":0.0006966392,"about_ca_system_score_gemma":0.00085339975,"threshold_uncertainty_score":0.014517009},"labels":[],"label_agreement":null},{"id":"W3093051704","doi":"10.5430/rwe.v11n5p369","title":"International Comparative and Competitive Advantage of Post-Soviet Countries in Tourism","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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":"Comparative advantage; Revealed comparative advantage; Tourism; Competitive advantage; Index (typography); Scope (computer science); Position (finance); International trade; Economy; Regional science; Business; Economics; Political science; Geography; Finance","score_opus":0.07128663030961167,"score_gpt":0.32893739144860323,"score_spread":0.25765076113899155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093051704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854946,0.0006694827,0.000060573086,0.0000761826,0.000011313084,0.000003412317,0.00025054844,0.0000018555932,0.013432072],"genre_scores_gemma":[0.9991911,0.00018866811,0.00004252425,0.000009209916,0.0000048674874,0.0000017276706,0.00016047718,7.405618e-7,0.0004007487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995851,0.00006935751,0.000035053345,0.000033360975,0.00009888066,0.00017825257],"domain_scores_gemma":[0.99919444,0.00012670389,0.00029483653,0.000041327563,0.00014963307,0.00019315063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006240904,0.00011833688,0.00014475151,0.0027126586,0.0004308691,0.0013876104,0.0001150856,0.00012638512,0.0029166345],"category_scores_gemma":[0.001238992,0.000044231438,0.00020499907,0.0040939855,0.00042586023,0.0007413267,0.0007826881,0.00017528736,0.0002071431],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013004435,0.000049421353,0.963895,0.000058631573,0.00006994724,0.00028839556,0.0019280269,0.0004896607,0.0004372987,0.006965322,0.0007311233,0.024957074],"study_design_scores_gemma":[0.0000026993177,0.000058337217,0.9897468,0.000035023815,0.000013618942,0.00015989452,0.0044925776,0.00015502343,0.00013271254,0.00039281885,0.0048060487,0.000004367187],"about_ca_topic_score_codex":0.005733641,"about_ca_topic_score_gemma":0.011157648,"teacher_disagreement_score":0.005733641,"about_ca_system_score_codex":0.00056040706,"about_ca_system_score_gemma":0.00059598446,"threshold_uncertainty_score":0.011400521},"labels":[],"label_agreement":null},{"id":"W3093376455","doi":"10.5430/rwe.v11n5p348","title":"Foreign Aid, Corruption, Economic Growth Rate and Development Index in Nigeria: The ARDL Approach","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"International Development and Aid","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":"Distributed lag; Index (typography); Language change; Economics; Human Development Index; Government (linguistics); Development economics; Economic growth; Human development (humanity); Economy","score_opus":0.10120020953597415,"score_gpt":0.34492301759314764,"score_spread":0.2437228080571735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093376455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750191,0.0035107578,0.0025684568,0.0011791761,0.00009327753,0.00006018426,0.00056829164,0.000027883152,0.01697277],"genre_scores_gemma":[0.9971078,0.0008279319,0.0007214054,0.00004485324,0.00003181587,0.00003354275,0.00017090228,0.0000038250205,0.0010578372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989581,0.0005495309,0.00008004118,0.000117886644,0.00015447776,0.00013991992],"domain_scores_gemma":[0.9961629,0.002526086,0.0007447375,0.00008703464,0.00022586783,0.00025342358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014263613,0.00034483627,0.00036901538,0.0027336578,0.00045237495,0.002094535,0.00029684586,0.00047645025,0.0018718926],"category_scores_gemma":[0.0029349185,0.00021416222,0.00049422384,0.0024625384,0.0008149116,0.00092336664,0.0009943045,0.0012487473,0.0002674994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078050536,0.00026699915,0.97277504,0.000089577254,0.00012492057,0.0004192594,0.0012313538,0.0028055366,0.00017497811,0.006871884,0.0008156541,0.014346802],"study_design_scores_gemma":[0.000020102229,0.0006463778,0.91889894,0.00048562017,0.0003030295,0.0007303745,0.014447396,0.047720127,0.0006967727,0.0071746777,0.00880425,0.00007229736],"about_ca_topic_score_codex":0.01133558,"about_ca_topic_score_gemma":0.009204198,"teacher_disagreement_score":0.01133558,"about_ca_system_score_codex":0.00092201325,"about_ca_system_score_gemma":0.0012272582,"threshold_uncertainty_score":0.022539198},"labels":[],"label_agreement":null},{"id":"W3093976458","doi":"10.5430/rwe.v11n5p341","title":"The Determinants of Vietnam’s Exports to CPTPP Members: A Gravity Model Approach","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"Gravity model of trade; Tariff; Economics; Exchange rate; Foreign direct investment; Panel data; International economics; Investment (military); Gravity equation; Monetary economics; Bilateral trade; Macroeconomics; Econometrics; Geography","score_opus":0.27479518336534225,"score_gpt":0.3294066576565487,"score_spread":0.05461147429120644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093976458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98468703,0.00039680343,0.0038118314,0.0016008957,0.000030901745,0.000042858737,0.0013263988,0.000069364876,0.008033917],"genre_scores_gemma":[0.99637127,0.0002828577,0.00042461083,0.00004542444,0.000016219492,0.0000132503665,0.000853356,0.0000075330663,0.0019854333],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998049,0.0000599934,0.000007067558,0.000040027004,0.000025449459,0.000062580926],"domain_scores_gemma":[0.99953675,0.00018448096,0.00010826755,0.000026266094,0.00006850303,0.0000757408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896613,0.00033486323,0.00027126734,0.0012302236,0.00036666924,0.0010616806,0.00039989527,0.00035648688,0.0050925193],"category_scores_gemma":[0.0011458674,0.00017755677,0.000767526,0.0011333638,0.00041598344,0.00065995543,0.0005990954,0.0006500717,0.00037331806],"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":[0.000112540234,0.00017506805,0.80154306,0.000096156444,0.00030950498,0.0016595745,0.0007396017,0.13335869,0.00063307263,0.03314739,0.010461082,0.017764363],"study_design_scores_gemma":[0.000052852243,0.0001470605,0.43589607,0.00009853873,0.00024803865,0.000352246,0.0027722756,0.53565705,0.0002899116,0.0133162765,0.0111234,0.00004620008],"about_ca_topic_score_codex":0.074668385,"about_ca_topic_score_gemma":0.024947055,"teacher_disagreement_score":0.074668385,"about_ca_system_score_codex":0.0009359804,"about_ca_system_score_gemma":0.0009260093,"threshold_uncertainty_score":0.14846754},"labels":[],"label_agreement":null},{"id":"W3110864201","doi":"10.5430/rwe.v11n6p225","title":"Monetary Policy Mechanisms and Economic Growth Stability in Nigeria","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Monetary policy; Economics; Exchange rate; Money supply; Monetary economics; Interest rate; Broad money; Credit channel; Monetary base; Proxy (statistics); Macroeconomics; Monetarism; Economic stability; Economic policy; Inflation targeting","score_opus":0.09643739230397734,"score_gpt":0.2963336225441014,"score_spread":0.19989623024012404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110864201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766177,0.004842526,0.0004480426,0.001503977,0.000049498794,0.000013107548,0.00007380675,0.000009533016,0.016441945],"genre_scores_gemma":[0.9981621,0.0013334589,0.000083777726,0.000021756528,0.000008116782,0.0000026904709,0.0000139685735,0.0000010907298,0.00037319845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981457,0.000059347076,0.000024796751,0.00002224656,0.000027353639,0.00005161029],"domain_scores_gemma":[0.99918026,0.00023489323,0.00041151492,0.00001674508,0.000102726626,0.000053851163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077979063,0.00017885683,0.00017827844,0.00093900715,0.0005278093,0.0022405002,0.000119594464,0.0004722677,0.0011200645],"category_scores_gemma":[0.001966201,0.00010674873,0.00014227236,0.00076659484,0.00060925964,0.0009934112,0.00054967013,0.0004466258,0.00012745486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012503316,0.00034375253,0.67112905,0.0007476114,0.00015081777,0.003364776,0.0069292365,0.022046672,0.006950873,0.17486735,0.002494537,0.109724954],"study_design_scores_gemma":[0.00010210549,0.00033934758,0.86339146,0.0012562,0.00018190766,0.0011514091,0.016499285,0.023722362,0.0046249125,0.060416713,0.028239598,0.000074604155],"about_ca_topic_score_codex":0.004241283,"about_ca_topic_score_gemma":0.003257795,"teacher_disagreement_score":0.004241283,"about_ca_system_score_codex":0.0011528218,"about_ca_system_score_gemma":0.0011129465,"threshold_uncertainty_score":0.008433223},"labels":[],"label_agreement":null},{"id":"W3112411423","doi":"10.5430/rwe.v11n6p207","title":"Job Burnout and Job Engagement Dimensions Among Hotel Employees in Sarawak: What Is the Relationship?","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Job Satisfaction and Organizational Behavior","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":"Burnout; Work engagement; Psychology; Cynicism; Applied psychology; Job satisfaction; Context (archaeology); Job design; Job performance; Social psychology; Job attitude; Work (physics); Clinical psychology; Political science; Geography; Engineering","score_opus":0.1019075364436281,"score_gpt":0.3266232797539464,"score_spread":0.2247157433103183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112411423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992428,0.00015399013,0.00001277079,0.00018594429,0.0000038061596,0.0000019693214,0.000016222022,4.2693014e-7,0.0003820858],"genre_scores_gemma":[0.99966586,0.0001023253,0.000020168674,0.000025253388,0.0000036164547,0.0000022830457,0.000019781803,2.5237085e-7,0.00016048702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995247,0.00013305536,0.000053237807,0.000045898894,0.00010037686,0.00014273601],"domain_scores_gemma":[0.9978666,0.0005296637,0.00074919924,0.000053707066,0.00022463173,0.0005763408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068085664,0.00015275639,0.00021768802,0.0005498354,0.0007121667,0.00093248,0.00019532649,0.00042053475,0.0016564842],"category_scores_gemma":[0.0018386057,0.00016472457,0.00031899734,0.0004970917,0.00046022297,0.00042086898,0.00069678464,0.00075100857,0.00016458154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031155596,0.00007070381,0.9937688,0.000028209884,0.000021178883,0.0000698613,0.0023578245,0.000016288433,0.00012328659,0.000054606866,0.000079548896,0.0033786069],"study_design_scores_gemma":[7.785987e-7,0.00004532245,0.9910596,0.000027854534,0.0000075604953,0.00007613376,0.008509855,0.00005911529,0.000028351682,0.000019372002,0.00016259767,0.0000033895437],"about_ca_topic_score_codex":0.009400699,"about_ca_topic_score_gemma":0.024167808,"teacher_disagreement_score":0.009400699,"about_ca_system_score_codex":0.0005807982,"about_ca_system_score_gemma":0.00096199487,"threshold_uncertainty_score":0.018691957},"labels":[],"label_agreement":null},{"id":"W3112667705","doi":"10.5430/rwe.v11n6p196","title":"Causal Relationship Among Carbon Dioxide (CO2) Emissions, Renewable Energy, Population and Economic Growth in Bangladesh: An Empirical Study","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, Economic Growth","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":"World Bank Group","keywords":"Cointegration; Non-renewable resource; Economics; Renewable energy; Distributed lag; Environmental degradation; Structural break; Natural resource economics; Error correction model; Energy consumption; Population; Short run; Population growth; Macroeconomics; Econometrics; Ecology","score_opus":0.09759093390656634,"score_gpt":0.3121670980871481,"score_spread":0.21457616418058176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112667705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967597,0.0003527681,0.00017889049,0.0003289854,0.000007430292,0.000015565272,0.0008193465,0.000003818103,0.001533408],"genre_scores_gemma":[0.9983529,0.00031740204,0.00008421962,0.000030935487,0.000010398262,0.000012651481,0.00053157087,0.0000016217585,0.000658382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958223,0.00013347926,0.00004809696,0.000081417325,0.000054111126,0.000100686666],"domain_scores_gemma":[0.9966967,0.0020512159,0.0005377202,0.00013510443,0.00027048073,0.0003088047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077573064,0.0002551521,0.00032948644,0.0009603652,0.0004929862,0.0009187593,0.00042097253,0.0006036286,0.0047510066],"category_scores_gemma":[0.0023879113,0.00022481513,0.0006001896,0.0019053213,0.00045308872,0.0007031166,0.00059389067,0.0010603272,0.00067399524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053812142,0.00016077326,0.9940479,0.0000529714,0.0001223467,0.0003790968,0.0004951321,0.0005224217,0.00012057482,0.00044428272,0.0005200407,0.0030807173],"study_design_scores_gemma":[0.000013814436,0.00015078466,0.98550165,0.000098591416,0.00023511308,0.00032995763,0.005560713,0.00534247,0.00019591617,0.0004885565,0.002060142,0.00002219895],"about_ca_topic_score_codex":0.027147608,"about_ca_topic_score_gemma":0.02700576,"teacher_disagreement_score":0.027147608,"about_ca_system_score_codex":0.000711209,"about_ca_system_score_gemma":0.00080528634,"threshold_uncertainty_score":0.053979218},"labels":[],"label_agreement":null},{"id":"W3112796316","doi":"10.5430/rwe.v11n6p185","title":"Japanese Colonial Land Survey Project and Korean Economic Take-off","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Land Rights and Reforms","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":"Daegu University","keywords":"Property rights; Industrialisation; Representation (politics); Incentive; State (computer science); Property (philosophy); Colonialism; Capital (architecture); Institution; Economics; Function (biology); Economy; Economic system; Political science; History; Market economy; Ancient history; Law; Microeconomics; Computer science","score_opus":0.11234890664667763,"score_gpt":0.3167561823563292,"score_spread":0.20440727570965156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112796316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97686255,0.00056936237,0.00012902185,0.0019657759,0.000044716424,0.000046127912,0.0041442695,0.000008539692,0.016229726],"genre_scores_gemma":[0.9901126,0.0006729727,0.00023521662,0.00029162806,0.00001661158,0.000070380156,0.0033563292,0.000007263127,0.0052370327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925715,0.00021722988,0.000082917984,0.000077026394,0.00009771243,0.0002679363],"domain_scores_gemma":[0.9945471,0.0006745051,0.0017131133,0.00034595246,0.0016010981,0.0011182253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013538923,0.00015586907,0.00014450781,0.0017940763,0.0009944168,0.0010398766,0.00027623004,0.00020711152,0.0035958604],"category_scores_gemma":[0.003805096,0.000116798554,0.0001373824,0.004962271,0.000625589,0.0007586397,0.0017055073,0.0004410481,0.0002698625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015321083,0.0000659876,0.9539407,0.00013347619,0.0000483904,0.0003250676,0.0068816324,0.00009424276,0.00019356345,0.0035818121,0.013291096,0.021290762],"study_design_scores_gemma":[0.0000030901542,0.000017828457,0.97768754,0.00002661047,0.000014050684,0.00004141925,0.011707162,0.00007564506,0.000074587864,0.00010821847,0.0102371145,0.000006699279],"about_ca_topic_score_codex":0.14302312,"about_ca_topic_score_gemma":0.27201518,"teacher_disagreement_score":0.14302312,"about_ca_system_score_codex":0.0018365328,"about_ca_system_score_gemma":0.0025608977,"threshold_uncertainty_score":0.28438127},"labels":[],"label_agreement":null},{"id":"W3112796830","doi":"10.5430/rwe.v11n6p234","title":"The Size of the Public Economy and Its Economic Efficiency Problem","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Order (exchange); Context (archaeology); Economics; Quality (philosophy); Public sector; Developing country; Goods and services; Element (criminal law); Public good; Politics; Economy; Business; Public economics; Economic growth; Political science","score_opus":0.1053305575771557,"score_gpt":0.2902555168616677,"score_spread":0.18492495928451197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112796830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73098123,0.0067238645,0.040283177,0.016293028,0.00014899447,0.00013013188,0.0022591976,0.00007150851,0.20310886],"genre_scores_gemma":[0.99367166,0.0008934293,0.0013434774,0.0001647258,0.000091715105,0.000044399578,0.0002999784,0.000024120023,0.0034666008],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962709,0.0016682064,0.00021340928,0.0005464262,0.0006898975,0.000611111],"domain_scores_gemma":[0.96819544,0.021904944,0.0047764187,0.0019121469,0.0025752806,0.00063564046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004512857,0.00023980161,0.00058635895,0.002839881,0.0006795553,0.003777426,0.0007066914,0.0007231603,0.0045940466],"category_scores_gemma":[0.022752974,0.00023306896,0.00060190965,0.0034094963,0.0036372584,0.005119239,0.001780471,0.0011528296,0.00054546585],"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":[0.00023135387,0.00012616733,0.19228615,0.00028008586,0.00020570467,0.0005092288,0.001311917,0.020797329,0.00058695447,0.71037257,0.007390362,0.06590217],"study_design_scores_gemma":[0.000104906365,0.00019249947,0.34922746,0.0005562823,0.00015088562,0.0011537848,0.0067974664,0.028481578,0.0025337348,0.52415717,0.086568855,0.00007534607],"about_ca_topic_score_codex":0.004074346,"about_ca_topic_score_gemma":0.0024431578,"teacher_disagreement_score":0.0045940466,"about_ca_system_score_codex":0.0030851348,"about_ca_system_score_gemma":0.0022931525,"threshold_uncertainty_score":0.023866594},"labels":[],"label_agreement":null},{"id":"W3112987584","doi":"10.5430/rwe.v12n1p331","title":"The Impact of Globalisation Towards Bank Performance in Malaysia","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Globalization; Incentive; Business; Financial system; Economics; Market economy","score_opus":0.04957350189693019,"score_gpt":0.3265109638347441,"score_spread":0.2769374619378139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112987584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98774695,0.000762876,0.00015795411,0.000765715,0.000017564136,0.000010081502,0.00032582233,0.000011273254,0.0102016935],"genre_scores_gemma":[0.9992072,0.0002393542,0.00003419286,0.000024349461,0.0000085890315,0.0000016065909,0.00008193324,0.000001789351,0.00040103326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992042,0.00024470544,0.00007970042,0.00009740945,0.00015215974,0.0002219018],"domain_scores_gemma":[0.9952773,0.00071165175,0.0024438512,0.00019038949,0.00060042983,0.0007762874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009160378,0.00030065275,0.00018935524,0.0008775511,0.00029190583,0.0025205836,0.00015912783,0.00028246222,0.003295909],"category_scores_gemma":[0.0030489985,0.00009062411,0.00028752792,0.0015773681,0.00081422465,0.0013377711,0.0013952936,0.00064127886,0.00042182472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007092917,0.00004773644,0.9773946,0.000083123414,0.000102626196,0.00027805695,0.0010433198,0.0019082082,0.00028067373,0.0014777221,0.0007029153,0.016610254],"study_design_scores_gemma":[0.0000024193796,0.00005730189,0.99568236,0.00004903787,0.000018479142,0.00008343994,0.0018333476,0.0004554561,0.00017952814,0.00026258235,0.0013669808,0.000009025807],"about_ca_topic_score_codex":0.009006659,"about_ca_topic_score_gemma":0.011188767,"teacher_disagreement_score":0.009006659,"about_ca_system_score_codex":0.00094560324,"about_ca_system_score_gemma":0.0009774673,"threshold_uncertainty_score":0.017908454},"labels":[],"label_agreement":null},{"id":"W3113328691","doi":"10.5430/rwe.v11n6p213","title":"Impact of Demographic Features of Young Entrepreneurs on Financial Literacy: Meta-Analysis in Delhi NCR","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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 literacy; Venture capital; Subsidy; Government (linguistics); Finance; Economic growth; Financial management; Business; Economics; Market economy","score_opus":0.13068917118796347,"score_gpt":0.3583743561035478,"score_spread":0.22768518491558432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113328691","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":[0.21015596,0.7768356,0.002462629,0.0012668098,0.00044932804,0.00058776827,0.0061476226,0.0000795206,0.00201474],"genre_scores_gemma":[0.9237803,0.06996123,0.0017718725,0.0008590307,0.00012525365,0.0008872468,0.0019630468,0.000045842477,0.0006061838],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.98619604,0.006653506,0.0036080512,0.0018959444,0.0011340511,0.00051251805],"domain_scores_gemma":[0.94279253,0.048634045,0.0041340864,0.0017665653,0.002136682,0.0005360301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01393946,0.0010020579,0.005291175,0.0048257997,0.0006441637,0.0031968593,0.0016151537,0.001689224,0.0044909334],"category_scores_gemma":[0.04218193,0.00067485875,0.02042488,0.006980048,0.0006790137,0.0019266868,0.0013514587,0.0018569706,0.00025248193],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003981631,0.0001740349,0.23015636,0.11676592,0.62035257,0.0006626372,0.001326804,0.0005640888,0.00026000538,0.0004576387,0.0026249997,0.022673348],"study_design_scores_gemma":[0.0004969569,0.00062149134,0.14493656,0.021908015,0.8238297,0.0004462015,0.0016681483,0.0006044307,0.00030069612,0.00059652183,0.00449916,0.0000921134],"about_ca_topic_score_codex":0.01224489,"about_ca_topic_score_gemma":0.018109422,"teacher_disagreement_score":0.01393946,"about_ca_system_score_codex":0.0012755102,"about_ca_system_score_gemma":0.002428458,"threshold_uncertainty_score":0.07371974},"labels":[],"label_agreement":null},{"id":"W3113416259","doi":"10.5430/rwe.v11n6p259","title":"Service Export Sensitivity to Internet Adoption: Evidence From Dynamic Panel Data Analysis","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Panel data; The Internet; Developing country; Service (business); Panel analysis; Business; Causality (physics); Economics; International economics; Econometrics; Marketing; Economic growth; Computer science","score_opus":0.38261392705661823,"score_gpt":0.36594593953695426,"score_spread":0.016667987519663974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113416259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97767466,0.0013640723,0.0041000126,0.0006008387,0.000040084436,0.000025743837,0.011352293,0.00005507087,0.004787242],"genre_scores_gemma":[0.9855912,0.0009984254,0.00061476347,0.000108796165,0.00003923821,0.00002573884,0.011625112,0.00001631884,0.0009802914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858105,0.00075135514,0.00010730243,0.00024821737,0.00014250173,0.00016962425],"domain_scores_gemma":[0.9815661,0.009828853,0.0056273183,0.0018177328,0.00087113614,0.0002888132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026467622,0.0003002629,0.00052911474,0.001098043,0.0002446955,0.0011161583,0.00036533308,0.00052725396,0.0044715838],"category_scores_gemma":[0.010636467,0.00023758292,0.0010398533,0.0035564778,0.0003088989,0.00083313865,0.0008675775,0.0009715595,0.00075100106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022864086,0.000116442476,0.96404505,0.0001392417,0.0011803346,0.00025589595,0.00029988482,0.010465851,0.00020324145,0.001742708,0.00432415,0.016998677],"study_design_scores_gemma":[0.000029403975,0.00013137341,0.97491497,0.00011039775,0.00085161766,0.00017131561,0.0008817799,0.012913293,0.00058410154,0.0019365238,0.007431569,0.000043616357],"about_ca_topic_score_codex":0.010833471,"about_ca_topic_score_gemma":0.0066671753,"teacher_disagreement_score":0.010833471,"about_ca_system_score_codex":0.0002432869,"about_ca_system_score_gemma":0.00025210163,"threshold_uncertainty_score":0.02154082},"labels":[],"label_agreement":null},{"id":"W3113570538","doi":"10.5430/rwe.v11n6p302","title":"Prediction of CPI in Saudi Arabia: Holt’s Linear Trend Approach","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Forecasting Techniques and Applications","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":"Exponential smoothing; Price index; Econometrics; Consumption (sociology); Consumer price index (South Africa); Economics; Recreation; Index (typography); Agricultural economics; Macroeconomics; Computer science","score_opus":0.5234367629166261,"score_gpt":0.45936397942825,"score_spread":0.06407278348837608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113570538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88888353,0.0009289456,0.10196547,0.00082919555,0.0001064124,0.00007816186,0.0030534118,0.00038925154,0.0037656378],"genre_scores_gemma":[0.98508126,0.00038639014,0.010819597,0.000028532646,0.000028673508,0.000028506915,0.00230688,0.000020577514,0.001299629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963605,0.00010426915,0.000032852797,0.00010106499,0.0000631103,0.00006256259],"domain_scores_gemma":[0.9983644,0.00089658774,0.00020349854,0.00006859458,0.0004152756,0.000051651947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012850821,0.00064345164,0.00045988683,0.0015380058,0.00021697537,0.0010061595,0.00055250863,0.00059574284,0.0013131596],"category_scores_gemma":[0.0044006477,0.000244439,0.0008281877,0.0014685204,0.00013778596,0.0006432441,0.0003252708,0.0007916062,0.0005033262],"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":[0.00038615186,0.00016921053,0.15674323,0.000115215946,0.00024517783,0.00029793227,0.00022701098,0.7146912,0.000992346,0.0032484469,0.0040756213,0.11880847],"study_design_scores_gemma":[0.0000029731957,0.000020196687,0.008252831,0.0000070964,0.000014145634,0.0000143373245,0.000043266693,0.99073994,0.0001546843,0.00042228607,0.0003216018,0.0000065668723],"about_ca_topic_score_codex":0.06914949,"about_ca_topic_score_gemma":0.025593085,"teacher_disagreement_score":0.06914949,"about_ca_system_score_codex":0.0009047269,"about_ca_system_score_gemma":0.00080958195,"threshold_uncertainty_score":0.13749403},"labels":[],"label_agreement":null},{"id":"W3113612903","doi":"10.5430/rwe.v11n6p247","title":"Role of Business Incubation in Sustaining Small and Medium Enterprises in the Kingdom of Eswatini","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Business; Small and medium-sized enterprises; Sustainability; Industrial organization; Business development; Marketing; Finance","score_opus":0.08244692036670398,"score_gpt":0.3035667218968562,"score_spread":0.2211198015301522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113612903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94219977,0.002579385,0.0006132527,0.0054791626,0.0001079543,0.00004468076,0.000039135313,0.000011290141,0.048925456],"genre_scores_gemma":[0.9926636,0.0012638469,0.00024863382,0.00030796372,0.000015206749,0.00001386751,0.000014789237,0.000004597428,0.005467363],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9993315,0.00028940005,0.00003700906,0.0000525023,0.000061080784,0.00022845466],"domain_scores_gemma":[0.9971615,0.0010322451,0.0005257752,0.000101146274,0.00025476934,0.0009246378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015273577,0.00015610526,0.00014378785,0.0006195694,0.0043615,0.004144313,0.0003583326,0.00071370625,0.0043432605],"category_scores_gemma":[0.0022709894,0.00020791401,0.000109679975,0.0010252236,0.0031848957,0.0024582152,0.0037487457,0.0009903107,0.00045016],"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":[0.00063626625,0.00035415305,0.19906498,0.0014166752,0.00004356884,0.027061148,0.33898625,0.0009322551,0.009821857,0.26112467,0.008749246,0.15180896],"study_design_scores_gemma":[0.000014687437,0.0002854898,0.20202884,0.00070916134,0.000034599965,0.00425838,0.465266,0.00067276065,0.0024730125,0.008558962,0.3156165,0.000081611244],"about_ca_topic_score_codex":0.007104584,"about_ca_topic_score_gemma":0.023541892,"teacher_disagreement_score":0.007104584,"about_ca_system_score_codex":0.0033970596,"about_ca_system_score_gemma":0.0047693816,"threshold_uncertainty_score":0.024647534},"labels":[],"label_agreement":null},{"id":"W3114315818","doi":"10.5430/rwe.v11n6p362","title":"The Influence of Capital Structure on Stock Returns – An Empirical Study on Industrial Companies","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Capital structure; Business; Stock (firearms); Debt; Return on equity; Equity (law); Debt-to-equity ratio; Monetary economics; Return on capital; Debt ratio; Finance; Financial system; Economics; Stock exchange; Financial capital; Capital formation; Human capital; Market economy","score_opus":0.1669338657182012,"score_gpt":0.352043055118624,"score_spread":0.18510918940042279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114315818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885714,0.00015105435,0.000030492509,0.00004825009,9.3339736e-7,0.0000032687133,0.000055494118,0.0000012914377,0.00085205835],"genre_scores_gemma":[0.9994361,0.00010599848,0.0000237636,0.000009068982,0.000005753545,0.0000014156634,0.00012239459,4.600468e-7,0.00029498545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996326,0.00008498865,0.000034468576,0.00004588192,0.00011652998,0.000085565254],"domain_scores_gemma":[0.995116,0.0013626841,0.0022642857,0.00016061236,0.00059387565,0.000502561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072336185,0.00015480942,0.00013849925,0.00090612494,0.00031492038,0.00096317887,0.00019945718,0.000264015,0.0016541856],"category_scores_gemma":[0.0026885236,0.000077869845,0.0002315804,0.0008471955,0.00031758205,0.00061818294,0.0003915374,0.00041329543,0.0002728415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040140483,0.000080948084,0.9949108,0.000007033968,0.000027174632,0.00018278032,0.00015320866,0.00027888326,0.00014176665,0.0001206811,0.00010734367,0.0039492785],"study_design_scores_gemma":[0.0000018826161,0.000051179617,0.99867034,0.000006541632,0.000010053664,0.000049342045,0.00029934672,0.0004461793,0.00011864999,0.000056623452,0.00028746465,0.0000024140302],"about_ca_topic_score_codex":0.007941002,"about_ca_topic_score_gemma":0.011393724,"teacher_disagreement_score":0.007941002,"about_ca_system_score_codex":0.0006954876,"about_ca_system_score_gemma":0.00045445256,"threshold_uncertainty_score":0.015789568},"labels":[],"label_agreement":null},{"id":"W3114783588","doi":"10.5430/rwe.v11n6p284","title":"The Impact of Asnaf Entrepreneur’s Intention Towards Decision and the Movement of Zakat Collection","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Theory of planned behavior; Context (archaeology); Data collection; Structural equation modeling; Psychology; Business; Marketing; Control (management); Social psychology; Sociology; Management; Economics; Social science; Statistics; Mathematics; Geography","score_opus":0.04701944751816781,"score_gpt":0.3181687911777349,"score_spread":0.27114934365956705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114783588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99498737,0.000061752944,0.00014965386,0.00020081321,0.000007933269,0.000012429518,0.00001725296,0.0000028113802,0.004560074],"genre_scores_gemma":[0.99895966,0.00005571836,0.00008490082,0.000017425442,0.0000022544941,0.0000039153833,0.000015357484,0.0000010792708,0.0008597094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891627,0.0003354271,0.00008117614,0.00009072355,0.00026932897,0.00030707338],"domain_scores_gemma":[0.99244577,0.0037142765,0.0019007873,0.0002723104,0.00057073624,0.0010961887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012397404,0.0001264841,0.00014701525,0.00043784143,0.00059407717,0.0016862112,0.0002263174,0.00036691944,0.0050176107],"category_scores_gemma":[0.0053661307,0.00010632226,0.00029569425,0.00040099755,0.0006802969,0.0005433218,0.00059103116,0.0008344778,0.00037380488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016128416,0.00057851354,0.9614458,0.000070978596,0.000041838615,0.0006604498,0.006154273,0.0002887269,0.001018432,0.0022362364,0.00037585152,0.026967688],"study_design_scores_gemma":[0.000006678452,0.00018500487,0.9804308,0.000047006775,0.000028291117,0.00019799803,0.0155968275,0.0006542577,0.00037310156,0.00070620363,0.0017567042,0.000017216767],"about_ca_topic_score_codex":0.00507075,"about_ca_topic_score_gemma":0.009719471,"teacher_disagreement_score":0.00507075,"about_ca_system_score_codex":0.0006558988,"about_ca_system_score_gemma":0.0015306998,"threshold_uncertainty_score":0.016785562},"labels":[],"label_agreement":null},{"id":"W3116427573","doi":"10.5430/rwe.v11n6p348","title":"Competitive Dynamics of Peruvian Grapes in the United States and the Netherlands Markets","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Wine Industry and Tourism","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":"Openness to experience; Revealed comparative advantage; International trade; Economics; International economics; Balance of trade; Comparative advantage; Business","score_opus":0.04581790674078305,"score_gpt":0.2828388739644553,"score_spread":0.23702096722367222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116427573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355197,0.00028325393,0.000032310025,0.00014500997,0.0000013229485,0.00000309855,0.00018483646,0.0000017919236,0.0057965163],"genre_scores_gemma":[0.9986564,0.0001757458,0.000040745555,0.000011055355,0.0000017149725,0.0000031014247,0.00023673418,0.0000011168142,0.00087335747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984026,0.00004989153,0.000007560137,0.000025685977,0.000034494744,0.000042169308],"domain_scores_gemma":[0.9994685,0.00012501041,0.00019286193,0.000015583539,0.00012504593,0.00007291848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036055583,0.0000828494,0.000106684725,0.0009627824,0.00038902694,0.0018566091,0.0001660977,0.0001980078,0.0032276993],"category_scores_gemma":[0.0014327208,0.0000802575,0.00014826155,0.001651188,0.00025856195,0.0009100548,0.0007303436,0.00016651157,0.00023413627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060586276,0.00022527153,0.89848757,0.00020440889,0.00017692291,0.0034775038,0.015026319,0.0037903297,0.0035811025,0.0186155,0.0059171994,0.04989203],"study_design_scores_gemma":[0.000019798137,0.000088573615,0.95893127,0.00004980708,0.00003502508,0.00029394936,0.02053582,0.005261341,0.00041183745,0.00083224,0.013515393,0.00002493152],"about_ca_topic_score_codex":0.038714424,"about_ca_topic_score_gemma":0.08213433,"teacher_disagreement_score":0.038714424,"about_ca_system_score_codex":0.0010666299,"about_ca_system_score_gemma":0.00042937728,"threshold_uncertainty_score":0.07697815},"labels":[],"label_agreement":null},{"id":"W3116492217","doi":"10.5430/rwe.v11n6p291","title":"The Effect of Applying Analytical Procedures on Understanding Business Environment in Light of Using Accounting Information Systems in Auditing","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Zarqa University","keywords":"Audit; Accounting; Accounting information system; Order (exchange); Business; Work (physics); Computer science; Business environment; Risk analysis (engineering); Finance; Engineering","score_opus":0.06833744120805221,"score_gpt":0.29595515474352474,"score_spread":0.22761771353547253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116492217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982567,0.0005426819,0.0033472455,0.0017712341,0.000025778554,0.00016764438,0.00002366031,0.0000510956,0.011503699],"genre_scores_gemma":[0.9946457,0.00042370567,0.0042471834,0.00019357819,0.0000160597,0.000035397665,0.000014079023,0.000008832006,0.00041563058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.933614,0.049752723,0.0027700237,0.0016940658,0.010187705,0.0019814458],"domain_scores_gemma":[0.67909664,0.2331772,0.044987813,0.011316377,0.024636615,0.00678545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0318319,0.0004551293,0.00029867204,0.0014827147,0.0011966925,0.0037306815,0.0006049622,0.00086016965,0.0017444072],"category_scores_gemma":[0.1305944,0.0003440903,0.0007503712,0.0011546467,0.0019763533,0.0032282376,0.0018855634,0.0017986044,0.00029667185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094090827,0.0032372796,0.5209125,0.0017085762,0.00048701128,0.000593091,0.048728127,0.004388985,0.00926222,0.0051991288,0.0022635164,0.4022786],"study_design_scores_gemma":[0.00006823977,0.0032273591,0.91230756,0.0011442953,0.00043334847,0.00052119925,0.04808576,0.0081274435,0.009015769,0.004170879,0.0127421655,0.0001560724],"about_ca_topic_score_codex":0.0025540786,"about_ca_topic_score_gemma":0.00297268,"teacher_disagreement_score":0.0318319,"about_ca_system_score_codex":0.0013801622,"about_ca_system_score_gemma":0.0043524313,"threshold_uncertainty_score":0.16834521},"labels":[],"label_agreement":null},{"id":"W3117245972","doi":"10.5430/rwe.v11n6p311","title":"Crowdfunding Industry Development: Gaining Leading Role in Digital Economy and Future Trends","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"FinTech, Crowdfunding, Digital Finance","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; Business; Asia pacific; Market share; Marketing; Economy; Finance; Economics; International trade; Political science","score_opus":0.07016481998730222,"score_gpt":0.29834359992668397,"score_spread":0.22817877993938174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117245972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4774109,0.098101795,0.009609399,0.12389593,0.0021538765,0.00023021111,0.00089733,0.00052890746,0.2871716],"genre_scores_gemma":[0.9185754,0.038186807,0.0042609735,0.0041300855,0.0009960652,0.000056577424,0.00026721574,0.00004483349,0.03348205],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99819905,0.00042877518,0.000071142385,0.00026411135,0.00053954707,0.00049737695],"domain_scores_gemma":[0.99314535,0.0017662675,0.00094203715,0.00021725222,0.0017898261,0.0021392477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028742384,0.00030193935,0.0002458739,0.0034488332,0.0025465,0.0062528807,0.00063215586,0.0014070416,0.0090401815],"category_scores_gemma":[0.0047433376,0.00013890488,0.0003092038,0.0045036124,0.0023044334,0.0075930418,0.0027409783,0.0015965026,0.0010107427],"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":[0.0000990132,0.00031011435,0.06837016,0.0010624491,0.00002275469,0.0015109917,0.015816506,0.0006561352,0.0015865532,0.23166883,0.07097393,0.6079225],"study_design_scores_gemma":[0.000009426072,0.00013524463,0.064057216,0.0010964138,0.00001757509,0.001275985,0.035236824,0.0013689074,0.0008681908,0.0270387,0.868825,0.000070511924],"about_ca_topic_score_codex":0.0035502005,"about_ca_topic_score_gemma":0.00435019,"teacher_disagreement_score":0.0090401815,"about_ca_system_score_codex":0.0035463027,"about_ca_system_score_gemma":0.005855854,"threshold_uncertainty_score":0.030242383},"labels":[],"label_agreement":null},{"id":"W3117451999","doi":"10.5430/rwe.v11n6p337","title":"Covid-19 Pandemic and the Market Performance Analysis: Evidence From Indonesia","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unit root test; Cointegration; Unit root; Economics; Ordinary least squares; Pandemic; Econometrics; Commodity market; Structural break; Exchange rate; Commodity; Foreign exchange market; Financial economics; Monetary economics; Coronavirus disease 2019 (COVID-19); Finance","score_opus":0.24746052829142884,"score_gpt":0.37086234153433323,"score_spread":0.12340181324290439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117451999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874422,0.0008579581,0.0002292572,0.0006769873,0.00001807195,0.000018038289,0.0002721806,0.000006757826,0.010478487],"genre_scores_gemma":[0.99866164,0.0004724837,0.00007738776,0.000056348603,0.000025176992,0.000003201607,0.00015799876,0.0000022644494,0.00054352597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969757,0.000074704905,0.000028319948,0.000049145554,0.00009161866,0.000058584847],"domain_scores_gemma":[0.9973471,0.00079543534,0.0012411431,0.000107146945,0.00029024022,0.00021888014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408179,0.00021204562,0.000237609,0.00070248765,0.0002884326,0.0013666957,0.00027690112,0.00037871205,0.0025449782],"category_scores_gemma":[0.0025939927,0.000097319724,0.00029618517,0.0008415378,0.0005852696,0.0010846799,0.0005163845,0.0007881423,0.0002916032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002113722,0.00060292426,0.956367,0.00021593863,0.00012486741,0.0019180381,0.002031296,0.0010513962,0.0010354652,0.0026235497,0.0024624495,0.03135559],"study_design_scores_gemma":[0.000010771021,0.00015758378,0.9860308,0.000070896196,0.00005557663,0.00032886784,0.0040612025,0.0041264,0.0006330819,0.0007192868,0.0037850363,0.000020543303],"about_ca_topic_score_codex":0.0064931805,"about_ca_topic_score_gemma":0.0055029583,"teacher_disagreement_score":0.0064931805,"about_ca_system_score_codex":0.00044192668,"about_ca_system_score_gemma":0.0005041653,"threshold_uncertainty_score":0.012910783},"labels":[],"label_agreement":null},{"id":"W3117680972","doi":"10.5430/rwe.v11n6p269","title":"Moderated Mediation Effects of Economic Freedom on FDI Under Different Levels of Political Stability","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Economic freedom; Foreign direct investment; Property rights; Politics; Mediation; Rule of law; Political system; Political freedom; Position (finance); Economics; Economic system; Business; Market economy; Political science; Law; Microeconomics; Macroeconomics; Finance; Democracy","score_opus":0.10601495353876576,"score_gpt":0.3247466052602858,"score_spread":0.21873165172152004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117680972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757161,0.0003923325,0.006142043,0.0015244536,0.00008520301,0.00022811949,0.00061236636,0.000051989766,0.015247329],"genre_scores_gemma":[0.9970515,0.00012469848,0.0015351219,0.0000823351,0.000018125906,0.00016923672,0.00018556164,0.000007647788,0.00082564977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922058,0.004261983,0.00026448877,0.0014131151,0.00068005506,0.0011745457],"domain_scores_gemma":[0.9743231,0.018611234,0.0027039424,0.0017649869,0.0013654027,0.0012313207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060217343,0.0011844429,0.00091589516,0.0009552349,0.0012437553,0.0027146046,0.0009953794,0.0012762941,0.016475089],"category_scores_gemma":[0.023080425,0.00057562854,0.0018323759,0.00072978594,0.0018497646,0.0023685114,0.004391857,0.0023224463,0.0004767237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00151719,0.001688654,0.8601069,0.00077111163,0.0018980282,0.0014028824,0.012206093,0.0042721666,0.0042523937,0.067654215,0.0013702782,0.04286011],"study_design_scores_gemma":[0.00040842913,0.0014096713,0.88530654,0.0004974131,0.003108269,0.0006550905,0.012035327,0.0257307,0.0046490813,0.060566954,0.005483476,0.00014908028],"about_ca_topic_score_codex":0.0066172923,"about_ca_topic_score_gemma":0.0053122686,"teacher_disagreement_score":0.016475089,"about_ca_system_score_codex":0.0014896777,"about_ca_system_score_gemma":0.0035313629,"threshold_uncertainty_score":0.055114627},"labels":[],"label_agreement":null},{"id":"W3118410525","doi":"10.5430/rwe.v12n2p17","title":"Impact of National Competitiveness on Economic Growth and Income Level – Evidence From the Selected Post-Soviet Countries","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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":"Universiti Putra Malaysia","keywords":"Productivity; Per capita income; Measures of national income and output; Economics; Per capita; Dynamism; Life expectancy; Development economics; Business; Economic growth; Demographic economics; Market economy; Population","score_opus":0.09359635666970839,"score_gpt":0.3390442827655988,"score_spread":0.2454479260958904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118410525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961243,0.00078784797,0.000045768622,0.000118895936,0.000012741368,0.000002600056,0.000592344,0.0000026747275,0.0023128728],"genre_scores_gemma":[0.9984761,0.0005914812,0.000027136872,0.000018408997,0.0000105668205,0.0000025971433,0.0007054262,0.0000011517237,0.00016716652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997044,0.00005572561,0.000034849825,0.000044107648,0.000054044813,0.000106968735],"domain_scores_gemma":[0.9989165,0.00016964645,0.0005634259,0.00004918899,0.00015900479,0.0001423738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068220636,0.00022389532,0.00021623727,0.0014412269,0.0004613923,0.00092805625,0.00019710042,0.0001696196,0.0011109599],"category_scores_gemma":[0.0012581509,0.000089414716,0.00036190695,0.002260474,0.00048234093,0.00052530965,0.00082513015,0.00028844472,0.0001668337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057355464,0.00003099151,0.9910563,0.00005322071,0.000066828754,0.00011625736,0.0005698086,0.00015720472,0.00007195812,0.00047743676,0.0003975954,0.006945087],"study_design_scores_gemma":[0.0000017713393,0.00002990983,0.99757093,0.000028113365,0.000025273053,0.000036619564,0.0011281616,0.000051952626,0.000060454906,0.000067901565,0.0009965315,0.00000233143],"about_ca_topic_score_codex":0.013060148,"about_ca_topic_score_gemma":0.013308901,"teacher_disagreement_score":0.013060148,"about_ca_system_score_codex":0.0003748199,"about_ca_system_score_gemma":0.0007275157,"threshold_uncertainty_score":0.025968254},"labels":[],"label_agreement":null},{"id":"W3118456509","doi":"10.5430/rwe.v12n1p138","title":"Employability Distress: Factors Affecting ICT Graduates’ Employability and Work Integration in the Workspace","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Higher Education and Employability","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":"Office for Health Equity and Inclusion, University of Michigan","keywords":"Employability; Unemployment; Context (archaeology); Work (physics); Curriculum; Public relations; Higher education; Economic shortage; Psychology; Medical education; Political science; Pedagogy; Economic growth; Economics; Engineering; Medicine","score_opus":0.13603748530107063,"score_gpt":0.43037697713823037,"score_spread":0.29433949183715974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118456509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982358,0.00013134931,0.000071873124,0.00017922632,0.000005467202,0.0000075806847,0.000019248973,0.0000014295341,0.0013479581],"genre_scores_gemma":[0.99944407,0.0000905574,0.000034104134,0.00001983595,0.0000044901453,0.0000047776975,0.000018282259,7.7220795e-7,0.00038310076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999047,0.00029295703,0.00010023832,0.000066200235,0.00023398484,0.00025958984],"domain_scores_gemma":[0.995362,0.001418005,0.001502912,0.00015708852,0.0003151059,0.0012448776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016543957,0.00016383031,0.00021318004,0.0009521237,0.0011070879,0.00197443,0.00037078653,0.0004666565,0.0059499014],"category_scores_gemma":[0.007851686,0.00014280433,0.0002628105,0.00089531747,0.0009744787,0.0009091044,0.0021872886,0.00075197715,0.0004707277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053613876,0.0002170799,0.95044625,0.0000738983,0.000016284066,0.00042927932,0.033835616,0.00007046618,0.00074501865,0.0005421659,0.00026999362,0.013300375],"study_design_scores_gemma":[0.0000027081471,0.00012527453,0.9408409,0.00007403994,0.0000069311573,0.000195886,0.05685417,0.00012046557,0.000074328455,0.00024342629,0.0014537803,0.0000080704285],"about_ca_topic_score_codex":0.0027584853,"about_ca_topic_score_gemma":0.0033843461,"teacher_disagreement_score":0.0059499014,"about_ca_system_score_codex":0.00054101134,"about_ca_system_score_gemma":0.0008044768,"threshold_uncertainty_score":0.019904435},"labels":[],"label_agreement":null},{"id":"W3118475078","doi":"10.5430/rwe.v12n1p189","title":"Market's Reaction to Analytical Information From Brokerage Institutions: Empirical Evidence From Stock Market in Vietnam","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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 market; Vietnamese; Portfolio; Financial economics; Security market; Economics; Stock (firearms); Business; Monetary economics; Finance; Engineering","score_opus":0.21533148384058648,"score_gpt":0.36714359455815554,"score_spread":0.15181211071756906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118475078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981158,0.0000870493,0.000031786287,0.00012082027,0.00000428986,0.000007103649,0.00003227355,8.0959694e-7,0.0016000513],"genre_scores_gemma":[0.99947935,0.00010080148,0.0000315169,0.00003203466,0.00000926916,0.00000163082,0.000049756698,8.4989307e-7,0.00029473504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993197,0.00020997926,0.00006993187,0.000078438155,0.00023050432,0.000091496026],"domain_scores_gemma":[0.98396575,0.007337975,0.005728396,0.0005101607,0.0016896458,0.0007681471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015385814,0.0001129486,0.00018531142,0.0006538798,0.0003717067,0.0013885146,0.00020580598,0.00044819468,0.0022819499],"category_scores_gemma":[0.013141132,0.00012097105,0.00015835935,0.0005893784,0.00043402397,0.0009904323,0.00041462627,0.00054265803,0.0002376704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002940183,0.00024699653,0.97605735,0.00007998105,0.000076753626,0.0007344603,0.006328827,0.0003271305,0.0014928839,0.00070324517,0.00055210927,0.01310627],"study_design_scores_gemma":[0.000019863493,0.00024212677,0.98458546,0.000031660566,0.00004964375,0.00021766247,0.009763169,0.0021432186,0.00082723727,0.0003130068,0.0017900305,0.000016912032],"about_ca_topic_score_codex":0.014083867,"about_ca_topic_score_gemma":0.01029837,"teacher_disagreement_score":0.014083867,"about_ca_system_score_codex":0.000612768,"about_ca_system_score_gemma":0.00050457445,"threshold_uncertainty_score":0.028003752},"labels":[],"label_agreement":null},{"id":"W3118548107","doi":"10.5430/rwe.v12n2p77","title":"Determinants of the Commercial Bank’s Efficiency in ASEAN","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Asset quality; Capitalization; Net interest margin; Loan; Data envelopment analysis; Capital adequacy ratio; Sample (material); Econometrics; Economics; Nonprobability sampling; Business; Financial system; Net interest income; Asset (computer security); Return on assets; Interest rate; Finance; Statistics; Mathematics; Microeconomics; Computer science; Population","score_opus":0.08301414244283196,"score_gpt":0.33400640806166,"score_spread":0.25099226561882804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118548107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99715143,0.0000875037,0.00017607589,0.0001204695,0.000001157997,0.0000029468692,0.00007456191,0.0000037869486,0.0023820102],"genre_scores_gemma":[0.9994518,0.000060738956,0.00005126678,0.000010593925,0.0000020130933,0.0000023718385,0.00006859049,9.239494e-7,0.00035169677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934727,0.0002526457,0.00007040767,0.00006117374,0.00015092685,0.000117599455],"domain_scores_gemma":[0.9946555,0.0017205133,0.002173693,0.00018402106,0.00086413726,0.0004021242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012063582,0.00015823224,0.00014344754,0.0008163607,0.00037742,0.0014568917,0.00020803182,0.00023506855,0.0027579293],"category_scores_gemma":[0.0041281926,0.000094337396,0.00015511735,0.001259507,0.00045913475,0.0007011246,0.0004486277,0.00030721453,0.0004117211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051494342,0.000111985064,0.9843858,0.000015201766,0.00005226577,0.0003285544,0.00059618294,0.0018711085,0.0004481838,0.0011939863,0.0006769045,0.01026854],"study_design_scores_gemma":[0.0000021395074,0.000027266053,0.9954106,0.000010950972,0.000011292301,0.00017459737,0.0010350439,0.0020359047,0.00017970042,0.00021839413,0.0008890639,0.0000050090316],"about_ca_topic_score_codex":0.009118638,"about_ca_topic_score_gemma":0.009834874,"teacher_disagreement_score":0.009118638,"about_ca_system_score_codex":0.0008553035,"about_ca_system_score_gemma":0.0005745241,"threshold_uncertainty_score":0.018131137},"labels":[],"label_agreement":null},{"id":"W3118599363","doi":"10.5430/rwe.v12n1p252","title":"Intellectual Capital, Members' Participation and Cooperative Performance: The Mediating Role of Management Capabilities","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Intellectual Capital and Performance Analysis","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":"Malaysian Palm Oil Board","keywords":"Intellectual capital; Business; Relational capital; Structural equation modeling; Sample (material); Partial least squares regression; Human capital; Variables; Variable (mathematics); Structural capital; Questionnaire; Financial capital; Marketing; Economics; Finance; Computer science; Individual capital; Economic growth; Mathematics","score_opus":0.03827690150526858,"score_gpt":0.29096622361455005,"score_spread":0.25268932210928147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118599363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97769904,0.00034887184,0.001054096,0.00071047444,0.000015058697,0.000045856217,0.00004731451,0.000009542506,0.020069776],"genre_scores_gemma":[0.9990928,0.000106353364,0.00025048148,0.000016903963,0.0000054507445,0.000013377619,0.000012505301,7.393458e-7,0.00050141104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760145,0.0012686094,0.00008606981,0.00020258273,0.00031773016,0.0005235588],"domain_scores_gemma":[0.98290294,0.010807875,0.0031131722,0.0006115042,0.0007139139,0.0018506552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027585563,0.00053192093,0.00030485154,0.000945939,0.0009170784,0.002206385,0.00064632465,0.0005827547,0.006995835],"category_scores_gemma":[0.011295325,0.0001424362,0.00035313566,0.0008111271,0.0016120794,0.0015776873,0.003237497,0.00072158925,0.00022758608],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034761586,0.0015095498,0.8290483,0.0005530422,0.0004987147,0.0024208566,0.029492619,0.0026784763,0.0022281993,0.05181808,0.0008565155,0.07854804],"study_design_scores_gemma":[0.000059406488,0.00075401226,0.9304033,0.00064264465,0.00033925325,0.0006851111,0.03834359,0.0035091355,0.0013858781,0.015921405,0.007900877,0.000055363642],"about_ca_topic_score_codex":0.0040806816,"about_ca_topic_score_gemma":0.0032652915,"teacher_disagreement_score":0.006995835,"about_ca_system_score_codex":0.0010170199,"about_ca_system_score_gemma":0.0027896173,"threshold_uncertainty_score":0.023403347},"labels":[],"label_agreement":null},{"id":"W3118644672","doi":"10.5430/rwe.v12n1p82","title":"Design as a Factor in the Development of a Country's Economy","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"State (computer science); Relevance (law); Economic system; Economy; Economics; Business; Computer science; Political science","score_opus":0.20295676619228448,"score_gpt":0.35347117584375176,"score_spread":0.15051440965146728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118644672","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":[0.2728099,0.015400905,0.038769647,0.01133746,0.00041650646,0.00017397314,0.00017463372,0.00015201743,0.6607649],"genre_scores_gemma":[0.98170877,0.0036988484,0.0044359057,0.00024311033,0.000054520173,0.000038232967,0.00002129668,0.000019419866,0.00977996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972363,0.0016648379,0.00011554756,0.00020033261,0.00051266025,0.00027038698],"domain_scores_gemma":[0.99675936,0.0016748938,0.00049519446,0.0002359339,0.00058592675,0.0002487642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020843977,0.00028037291,0.00032899395,0.0011051575,0.0018938963,0.007497161,0.0002770062,0.00067006436,0.003537338],"category_scores_gemma":[0.0036554465,0.00018700602,0.00027765852,0.0018236283,0.003980468,0.0021189677,0.001577908,0.0010557622,0.00043186612],"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":[0.00006172661,0.000104767256,0.02681883,0.0005869441,0.00006364966,0.00056531094,0.0049787066,0.005690177,0.0010798521,0.853243,0.0044312286,0.10237579],"study_design_scores_gemma":[0.0000290368,0.000533663,0.06150085,0.001464413,0.0002536066,0.0010804846,0.016640961,0.005906232,0.0033153417,0.3842026,0.5249444,0.00012846224],"about_ca_topic_score_codex":0.0025397518,"about_ca_topic_score_gemma":0.0028104244,"teacher_disagreement_score":0.007497161,"about_ca_system_score_codex":0.005032421,"about_ca_system_score_gemma":0.0039466345,"threshold_uncertainty_score":0.03651291},"labels":[],"label_agreement":null},{"id":"W3118768342","doi":"10.5430/rwe.v12n2p51","title":"Implications of Non –productive and Productive Government Expenditure on Output and Employment: Evidence From Nigeria","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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; Government expenditure; Causality (physics); Government (linguistics); Error correction model; Public expenditure; Short run; Joint (building); Labour economics; Cointegration; Public finance; Macroeconomics; Econometrics","score_opus":0.12065304689801205,"score_gpt":0.3270686287034712,"score_spread":0.20641558180545916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118768342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930593,0.0019676902,0.00008206559,0.00054881984,0.000009961127,0.0000059461663,0.00015672107,9.440153e-7,0.004168587],"genre_scores_gemma":[0.99688303,0.0025008547,0.00004299143,0.000042668467,0.000007029231,0.0000025631932,0.00009344516,0.000001129292,0.00042634766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963236,0.00015497112,0.000038096216,0.00003211794,0.00005884049,0.00008357403],"domain_scores_gemma":[0.99546343,0.0026824463,0.0011989946,0.000100899146,0.0003758993,0.0001782295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009457438,0.0001973351,0.00025847447,0.00062992424,0.00049086066,0.0011196523,0.00020116445,0.0003090055,0.0022436108],"category_scores_gemma":[0.0031548445,0.00014246989,0.00022941241,0.0012132232,0.0006994195,0.0006983521,0.00062119594,0.00046594266,0.0002267885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005741446,0.0002599647,0.95398116,0.0009512605,0.00015823996,0.0017455242,0.0034454674,0.0011386623,0.00052523025,0.0064607044,0.0006836673,0.030075885],"study_design_scores_gemma":[0.000021518215,0.00011851419,0.978127,0.00074427325,0.00021181484,0.00028891364,0.013559164,0.0009821608,0.0004827359,0.001325489,0.004124376,0.000014135103],"about_ca_topic_score_codex":0.01749628,"about_ca_topic_score_gemma":0.03555801,"teacher_disagreement_score":0.01749628,"about_ca_system_score_codex":0.0007558305,"about_ca_system_score_gemma":0.0011322487,"threshold_uncertainty_score":0.034788907},"labels":[],"label_agreement":null},{"id":"W3118809377","doi":"10.5430/rwe.v12n1p204","title":"Wine Consumption Determinants in Albania Using Categorical Regression Model","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Wine Industry and Tourism","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":"Wine; Consumption (sociology); Regression analysis; Categorical variable; Marketing; Economics; Business; Consumer behaviour; Sociology; Statistics; Mathematics; Food science","score_opus":0.2095797549065063,"score_gpt":0.3865635229904208,"score_spread":0.1769837680839145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118809377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892168,0.0003799222,0.00608289,0.00057864405,0.00007152994,0.00007830573,0.0015893981,0.00011237378,0.0018900932],"genre_scores_gemma":[0.99484915,0.00016915739,0.0016355942,0.000031577405,0.000029752058,0.000084992476,0.00097151555,0.000012974774,0.0022152262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990722,0.00041698985,0.000048165624,0.00018533526,0.00011492758,0.00016240684],"domain_scores_gemma":[0.99707484,0.0019588051,0.00040490733,0.00014407693,0.0003000262,0.000117313364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017082114,0.000583336,0.00070821884,0.0013312725,0.00037378582,0.0012139371,0.0010988405,0.00055593177,0.005735022],"category_scores_gemma":[0.0048612035,0.00025253152,0.0017335354,0.0011251013,0.0002732492,0.00035228158,0.0007041657,0.0011786186,0.0009056238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058639434,0.0007017846,0.92089164,0.00026633107,0.00084251264,0.0011384354,0.0008536056,0.03446712,0.0016241242,0.0024790354,0.004325935,0.031822987],"study_design_scores_gemma":[0.000046877936,0.00073830417,0.50238717,0.0001797615,0.0005595056,0.00037559596,0.002026459,0.4858588,0.00071263564,0.0017393338,0.0053143,0.00006115913],"about_ca_topic_score_codex":0.02240178,"about_ca_topic_score_gemma":0.007377636,"teacher_disagreement_score":0.02240178,"about_ca_system_score_codex":0.00059479306,"about_ca_system_score_gemma":0.000540165,"threshold_uncertainty_score":0.04454279},"labels":[],"label_agreement":null},{"id":"W3118862520","doi":"10.5430/rwe.v12n1p113","title":"The Effects of Human Capital by Gender on Economic Growth","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Employment and Welfare Studies","field":"Health Professions","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":"Human capital; Economics; Incentive; Labour economics; Government (linguistics); Short run; Capital deepening; Demographic economics; Economic growth; Capital formation; Monetary economics; Financial capital; Market economy","score_opus":0.11020207319212799,"score_gpt":0.4671429771283123,"score_spread":0.35694090393618433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118862520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986566,0.0016308816,0.000261119,0.0011729096,0.000044589542,0.000010297707,0.0007907587,0.000007913769,0.00951558],"genre_scores_gemma":[0.9984037,0.000295032,0.000044923057,0.000033478005,0.000012647649,0.000004657818,0.00012251236,0.0000019669378,0.0010810106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989225,0.00028794748,0.00004820321,0.000113799295,0.00015717308,0.00047026787],"domain_scores_gemma":[0.9956453,0.0017064771,0.0012481252,0.00017240256,0.00038477423,0.0008429643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011319817,0.0002452371,0.0002645295,0.0008820792,0.0004146984,0.0010679725,0.00022897797,0.00025736517,0.0045096795],"category_scores_gemma":[0.0047148997,0.00007378409,0.00053040637,0.0013378724,0.0006611232,0.0010313188,0.0013328271,0.00072568347,0.00041018444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017188801,0.00005127927,0.97293717,0.000044004566,0.00007977512,0.00024378822,0.00073547603,0.0005952642,0.00013404869,0.002285285,0.00070012955,0.022021882],"study_design_scores_gemma":[0.0000025072588,0.00007262952,0.9942326,0.00005552789,0.000022821267,0.00006354991,0.0019644273,0.00056455575,0.00016266247,0.0007287812,0.0021230131,0.000007045334],"about_ca_topic_score_codex":0.015280418,"about_ca_topic_score_gemma":0.021448212,"teacher_disagreement_score":0.015280418,"about_ca_system_score_codex":0.0008707507,"about_ca_system_score_gemma":0.00093014544,"threshold_uncertainty_score":0.03038299},"labels":[],"label_agreement":null},{"id":"W3118936786","doi":"10.5430/rwe.v12n1p238","title":"Does Tax Knowledge Motivate Tax Compliance in Malaysia?","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Taxation and Compliance Studies","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":"Public economics; Business; Compliance (psychology); Tax credit; Test (biology); Population; Demographic economics; Accounting; Economics; Psychology; Social psychology; Environmental health; Medicine","score_opus":0.16369027634514086,"score_gpt":0.35033257767144,"score_spread":0.18664230132629914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118936786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99581957,0.00025475014,0.000039755752,0.0009950068,0.000009399387,0.000008699174,0.000047123183,0.0000018706208,0.0028237305],"genre_scores_gemma":[0.9990219,0.00022475909,0.00003778812,0.000075121985,0.000005475307,0.000002218827,0.000021722502,5.422369e-7,0.00061051943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991972,0.00028712192,0.00005700261,0.00007117334,0.00019482653,0.0001926019],"domain_scores_gemma":[0.9945208,0.0011719863,0.0029243594,0.0001348406,0.00035780642,0.00089027476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010236055,0.00012179539,0.00020539157,0.00080789614,0.00068244303,0.0014738026,0.00029657426,0.000624876,0.004373603],"category_scores_gemma":[0.005218331,0.00017518143,0.00033462868,0.00072815066,0.0005751777,0.0009693141,0.0005084404,0.0010521484,0.00029493828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043852244,0.0006684307,0.97975576,0.00005884414,0.00003432607,0.00024811598,0.0025663013,0.000079740974,0.00011796803,0.0007927416,0.00051376485,0.015120154],"study_design_scores_gemma":[0.0000061617197,0.00015212978,0.98836446,0.0001386545,0.000034089622,0.00028067915,0.008238066,0.00046274977,0.00013786169,0.00052117044,0.0016527246,0.000011249447],"about_ca_topic_score_codex":0.0150927305,"about_ca_topic_score_gemma":0.021241447,"teacher_disagreement_score":0.0150927305,"about_ca_system_score_codex":0.0010796661,"about_ca_system_score_gemma":0.0024006858,"threshold_uncertainty_score":0.030009747},"labels":[],"label_agreement":null},{"id":"W3118954540","doi":"10.5430/rwe.v12n1p68","title":"Statistical Analysis of Performance Indicators of the Leading Russian Exporters","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"Diversification (marketing strategy); Revenue; Commodity; Business; Export performance; International trade; Emerging markets; Economics; Industrial organization; International economics; Commerce; Finance; Marketing","score_opus":0.12453278224173436,"score_gpt":0.31533155859550144,"score_spread":0.19079877635376707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118954540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920632,0.00020355034,0.00093015184,0.00006805006,0.000030783573,0.000031731168,0.0036987348,0.00004909607,0.002924664],"genre_scores_gemma":[0.9961904,0.000059653506,0.00032409877,0.000008305651,0.000020236901,0.00004239776,0.0025931858,0.000008666295,0.0007530809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981857,0.00044167857,0.00026292016,0.0004152177,0.00041067408,0.0002837184],"domain_scores_gemma":[0.99096406,0.0039630015,0.002540132,0.0006385985,0.0014107216,0.00048347402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021501235,0.0003712872,0.00047810812,0.0029223366,0.00027414085,0.0007650936,0.0003396471,0.0003360145,0.003079709],"category_scores_gemma":[0.0065671545,0.000097109565,0.0007447852,0.0027264887,0.0004401325,0.00036821823,0.00052580406,0.0005546839,0.00095576607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024358954,0.000057799567,0.9857371,0.000049757014,0.00015917265,0.000098321514,0.00033648938,0.0008448176,0.00048436172,0.00018224971,0.0009586349,0.010847725],"study_design_scores_gemma":[0.0000036535641,0.00018642047,0.9956878,0.000009718923,0.000031456148,0.000083448984,0.00068619836,0.0016015965,0.00030613114,0.00007675074,0.0013179564,0.000008853999],"about_ca_topic_score_codex":0.0031580313,"about_ca_topic_score_gemma":0.0014449739,"teacher_disagreement_score":0.0031580313,"about_ca_system_score_codex":0.000380207,"about_ca_system_score_gemma":0.000412281,"threshold_uncertainty_score":0.011371076},"labels":[],"label_agreement":null},{"id":"W3119405718","doi":"10.5430/rwe.v12n1p226","title":"Con Dao’s Geo-Economic and Geopolitical Position: Approaching From the Competition Between Western Countries (XVII - XIX Centuries)","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Vietnamese History and Culture 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":"Geopolitics; Archipelago; Position (finance); Context (archaeology); Economy; Geography; Politics; Competition (biology); International trade; Political science; Economics; Archaeology; Ecology","score_opus":0.07093842575499147,"score_gpt":0.3638360344356057,"score_spread":0.2928976086806142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119405718","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":[0.46063468,0.0071951,0.00077228784,0.008471192,0.00035693496,0.000038546215,0.0001319252,0.000010245905,0.52238905],"genre_scores_gemma":[0.9677609,0.002499623,0.00033241755,0.00064717385,0.000053005653,0.00002120858,0.00006621582,0.000011100421,0.028608415],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997758,0.000058938345,0.0000049637383,0.00002849439,0.000028496754,0.00010323435],"domain_scores_gemma":[0.99986506,0.000028629074,0.000023128525,0.0000051656843,0.000022902079,0.000055070635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028159557,0.00015896648,0.00008148373,0.00037348378,0.003403201,0.0038334755,0.00017248486,0.0004380573,0.002926825],"category_scores_gemma":[0.00028542813,0.00007714169,0.000045604153,0.00075235596,0.0027476,0.0012900652,0.0012386026,0.001114977,0.00020377543],"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":[0.00006914852,0.00005455136,0.022489293,0.00024088293,0.00000937365,0.0035828357,0.1993233,0.00032175359,0.0014293165,0.6926667,0.017568069,0.062244873],"study_design_scores_gemma":[0.0000059106897,0.000049319176,0.02591919,0.0004718538,0.0000051476572,0.0015978698,0.15508547,0.00031278687,0.0006548636,0.012787306,0.80308497,0.000025306455],"about_ca_topic_score_codex":0.03504871,"about_ca_topic_score_gemma":0.07607246,"teacher_disagreement_score":0.03504871,"about_ca_system_score_codex":0.0038352935,"about_ca_system_score_gemma":0.003235571,"threshold_uncertainty_score":0.06968945},"labels":[],"label_agreement":null},{"id":"W3119424129","doi":"10.5430/rwe.v12n1p120","title":"Income Diversification and Economic Welfare of Rural Households in the Volta Region of Ghana","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Microfinance and Financial Inclusion","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":"Diversification (marketing strategy); Welfare; Economics; Household income; Demographic economics; Socioeconomics; Standard of living; Net national income; Labour economics; Geography; Business; Gross income","score_opus":0.08588744399733894,"score_gpt":0.29531605441073217,"score_spread":0.20942861041339322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119424129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967635,0.000053533866,0.000023975163,0.000034730463,4.49738e-7,0.0000015899226,0.000085273605,2.6750996e-7,0.0001238129],"genre_scores_gemma":[0.99979943,0.00004800416,0.000024277288,0.0000046183227,0.0000010274314,0.0000024133324,0.000069779926,2.898484e-7,0.000050201485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999798,0.00009460047,0.000011430943,0.000027686125,0.000014916668,0.000053401833],"domain_scores_gemma":[0.9986547,0.0003040093,0.00073816587,0.000041923904,0.00008258287,0.00017846902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003840341,0.00018196936,0.00019318186,0.0007539895,0.00031140159,0.00043219968,0.00015737818,0.00016640093,0.0013416237],"category_scores_gemma":[0.0018659525,0.000109992936,0.00016198803,0.0016109792,0.00043275772,0.0004601133,0.0006220749,0.00030800988,0.00015808853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049807506,0.000019871075,0.9965423,0.000008007116,0.00001782202,0.00012738555,0.0010566567,0.00011262477,0.00013984682,0.000091818365,0.00006064536,0.001773292],"study_design_scores_gemma":[0.0000020040968,0.000019496389,0.99791414,0.000008889849,0.000004873275,0.000046311587,0.0016235709,0.00016791472,0.000017899802,0.000054481392,0.0001390031,0.0000015125928],"about_ca_topic_score_codex":0.014466664,"about_ca_topic_score_gemma":0.022070635,"teacher_disagreement_score":0.014466664,"about_ca_system_score_codex":0.0004915283,"about_ca_system_score_gemma":0.0002167064,"threshold_uncertainty_score":0.028764963},"labels":[],"label_agreement":null},{"id":"W3119467132","doi":"10.5430/rwe.v12n1p56","title":"How Do Inflation Rate, BI Rate, and Balance of Trade Directly Affect IDR to USD Exchange Rate and Indirectly Affect IDX Composite Index in Initial Stage of Covid-19 Outbreak?","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"COVID-19 Pandemic Impacts","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":"Exchange rate; Economics; Composite index; Index (typography); Inflation (cosmology); Monetary economics; Money supply; Interest rate; Econometrics; Composite indicator; Computer science","score_opus":0.10105041375368938,"score_gpt":0.36077240819138967,"score_spread":0.2597219944377003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119467132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97783595,0.0030874286,0.001565741,0.0027377608,0.00020510248,0.000042677762,0.0012748573,0.00003821584,0.013212188],"genre_scores_gemma":[0.99565816,0.0012037511,0.0003500911,0.00018482174,0.00009422377,0.000013259913,0.00069278985,0.000013681271,0.0017892821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991617,0.00022469817,0.000103925886,0.00018451344,0.0001421805,0.00018286535],"domain_scores_gemma":[0.9956701,0.0012216088,0.0020418551,0.000140006,0.00054471305,0.00038172968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013566687,0.00047845114,0.0004725219,0.0009891881,0.00028234912,0.0025784099,0.00026625948,0.00072317745,0.0029549513],"category_scores_gemma":[0.007252333,0.0002971134,0.0006263595,0.0011400556,0.00044544705,0.0015953439,0.00060366647,0.0012025102,0.0011325668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001445758,0.00008128171,0.98308414,0.00008463454,0.00020574188,0.00034643337,0.00037533024,0.0008599486,0.00047826386,0.0008120737,0.0010832198,0.012444317],"study_design_scores_gemma":[0.000007156088,0.000090125985,0.9915903,0.00006602208,0.00011232556,0.00021484077,0.0011282597,0.0031760735,0.00041296522,0.00088392186,0.0022935576,0.000024513518],"about_ca_topic_score_codex":0.005450415,"about_ca_topic_score_gemma":0.006113456,"teacher_disagreement_score":0.005450415,"about_ca_system_score_codex":0.000512786,"about_ca_system_score_gemma":0.0008442815,"threshold_uncertainty_score":0.010837376},"labels":[],"label_agreement":null},{"id":"W3119478413","doi":"10.5430/rwe.v12n2p1","title":"Entrepreneurship and Crisis in Greece From a neo-Schumpeterian Perspective: A Suggestion to Stimulate the Development Process at the Local Level","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Entrepreneurship; Perspective (graphical); Economics; Context (archaeology); Adaptability; Economic system; Process (computing); High tech; Comprehension; Economic geography; Management; Political science","score_opus":0.09473256301487594,"score_gpt":0.3443342722229591,"score_spread":0.24960170920808317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119478413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7479297,0.0101406295,0.005580565,0.05011439,0.0003174202,0.00006079957,0.00003450282,0.00003725262,0.18578477],"genre_scores_gemma":[0.99638915,0.0012898272,0.00031133372,0.00029790285,0.000027202868,0.000008094479,0.00000366207,0.0000027029257,0.001670099],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9995727,0.00026456133,0.000020553472,0.000041076786,0.000031100117,0.00007001952],"domain_scores_gemma":[0.999521,0.0001534322,0.00013100242,0.000029526962,0.000035975987,0.00012905878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070034066,0.00016014004,0.00019412983,0.0008943416,0.0010207065,0.0032585075,0.00041582363,0.0013033499,0.0012565294],"category_scores_gemma":[0.0014194888,0.00010247208,0.00020429115,0.0007739991,0.007208662,0.0025295145,0.0030479566,0.0010793158,0.00008015249],"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":[0.000063700165,0.000092783135,0.012954714,0.00027033628,0.000019055238,0.005003793,0.041006573,0.0016746492,0.0005800921,0.9056489,0.0023045267,0.030380901],"study_design_scores_gemma":[0.000049026017,0.00017709179,0.030907251,0.0007380471,0.000019619583,0.0041433657,0.10163401,0.003905221,0.000827339,0.73583454,0.12170074,0.00006375645],"about_ca_topic_score_codex":0.0014075864,"about_ca_topic_score_gemma":0.0019494764,"teacher_disagreement_score":0.0032585075,"about_ca_system_score_codex":0.0018303738,"about_ca_system_score_gemma":0.0019764109,"threshold_uncertainty_score":0.013280332},"labels":[],"label_agreement":null},{"id":"W3119496324","doi":"10.5430/rwe.v12n2p63","title":"Role of Revenue Mobilisation in the Growth and Development of Economy: A Case Analysis of Greece","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","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":"Revenue; Mobilization; Tax revenue; Bureaucracy; Economics; Order (exchange); Economic policy; Corporate governance; Government revenue; Fiscal policy; Business; Economy; Finance; Public economics; Macroeconomics; Political science","score_opus":0.09905325868338458,"score_gpt":0.3101026676809157,"score_spread":0.21104940899753113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119496324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94417346,0.0008923304,0.000948106,0.0020201055,0.0000358432,0.000090381414,0.00007330166,0.000010451848,0.051756036],"genre_scores_gemma":[0.99267286,0.0011264284,0.000503979,0.00009288161,0.000011697653,0.000019051646,0.000027501375,0.0000062927775,0.005539311],"study_design_codex":"case_report","study_design_gemma":"observational","domain_scores_codex":[0.9990866,0.00045856665,0.000035493948,0.00006013032,0.00011017655,0.00024899523],"domain_scores_gemma":[0.9994381,0.00022104583,0.00009138303,0.000033591277,0.00006132838,0.00015451248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838387,0.0003143933,0.00023393499,0.0018913075,0.0028043212,0.0040457193,0.0007600833,0.0016980165,0.0034112628],"category_scores_gemma":[0.0011771051,0.00016019563,0.00055540894,0.0019591276,0.0027793134,0.002001374,0.0031582008,0.0011508563,0.00036209798],"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":[0.0003153952,0.0012554837,0.14253862,0.0010069155,0.00014703722,0.29209143,0.17319533,0.013972553,0.0035165155,0.2647263,0.011253176,0.095981196],"study_design_scores_gemma":[0.000053901866,0.00039223253,0.10104735,0.001324492,0.00009652279,0.025307754,0.6590719,0.011142024,0.0030105005,0.028868,0.16957703,0.00010823842],"about_ca_topic_score_codex":0.0088827405,"about_ca_topic_score_gemma":0.013460808,"teacher_disagreement_score":0.0088827405,"about_ca_system_score_codex":0.0043082866,"about_ca_system_score_gemma":0.0021960596,"threshold_uncertainty_score":0.03125894},"labels":[],"label_agreement":null},{"id":"W3119848464","doi":"10.5430/rwe.v12n1p166","title":"Returns to Investment in University Education - Economics Career at Continental University","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Educational Outcomes and Influences","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":"Endogeneity; Economics; Investment (military); Instrumental variable; Variable (mathematics); Selection bias; Order (exchange); Econometrics; Rate of return; Work (physics); Regression analysis; Variables; Demographic economics; Mathematics; Statistics","score_opus":0.09009156169421846,"score_gpt":0.3676638840764263,"score_spread":0.27757232238220786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119848464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956033,0.00046412976,0.00021045042,0.00017044242,0.000009405945,0.00000664108,0.0005420824,0.000007301622,0.002986187],"genre_scores_gemma":[0.9953216,0.0002373904,0.000071178554,0.00001598282,0.000012587363,0.0000035957487,0.00072757556,0.0000025041543,0.0036075632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995788,0.00006320095,0.00001996802,0.00006530213,0.00008626419,0.00018644886],"domain_scores_gemma":[0.9966955,0.00076072186,0.0013793343,0.00015628967,0.00030113326,0.0007071225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008198082,0.00018059777,0.00024027629,0.0008767169,0.0002997472,0.001348194,0.00030666174,0.00032043696,0.00499353],"category_scores_gemma":[0.003046711,0.000087772845,0.00036408176,0.0010910264,0.00026576972,0.00043954115,0.0007119027,0.0005602353,0.0007356471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011426457,0.000086746295,0.97949094,0.000036422338,0.00008079138,0.00014517645,0.00017366484,0.0015466773,0.00023098329,0.0013985251,0.00049530953,0.01620047],"study_design_scores_gemma":[0.0000020713292,0.000073076364,0.9958947,0.0000117645395,0.000023670047,0.0000639903,0.00040430043,0.0012019054,0.0002556031,0.00017804893,0.0018859265,0.000004943747],"about_ca_topic_score_codex":0.015347943,"about_ca_topic_score_gemma":0.020540405,"teacher_disagreement_score":0.015347943,"about_ca_system_score_codex":0.0013909214,"about_ca_system_score_gemma":0.0007649689,"threshold_uncertainty_score":0.03051722},"labels":[],"label_agreement":null},{"id":"W3120024730","doi":"10.5430/rwe.v12n1p213","title":"Monetary and Fiscal Policy in the Presence of Informal Labour Markets: A DSGE Approach","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Dynamic stochastic general equilibrium; Economics; Monetary policy; Shock (circulatory); Fiscal policy; New Keynesian economics; Informal sector; Inflation (cosmology); Monetary economics; Macroeconomics; Order (exchange); Financial accelerator; General equilibrium theory; Finance","score_opus":0.08682653860320433,"score_gpt":0.3107629460818782,"score_spread":0.22393640747867388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120024730","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":[0.3444871,0.0038213732,0.6094844,0.0036301727,0.00035762155,0.00012764249,0.0010029152,0.00016148516,0.036927354],"genre_scores_gemma":[0.95219475,0.002815941,0.032500226,0.00029343338,0.00018709285,0.00014514691,0.00034124823,0.000047230824,0.011474897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995852,0.00022111656,0.000022916181,0.00006802278,0.000056171884,0.00004668009],"domain_scores_gemma":[0.9989882,0.0004976603,0.000261712,0.0000641255,0.00012299322,0.00006521141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012194588,0.00062733097,0.0015121656,0.000987488,0.0004049016,0.0017967536,0.00083658675,0.0015094954,0.002832969],"category_scores_gemma":[0.0035616562,0.00046723604,0.0009916122,0.00078418537,0.0007331263,0.0017126414,0.0016902923,0.0013639767,0.00023683548],"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":[0.0000663577,0.00004581051,0.0047367867,0.000099112,0.00020451854,0.0005224483,0.0001436338,0.75720906,0.0006705685,0.22883128,0.00076747296,0.0067029516],"study_design_scores_gemma":[0.000040638824,0.000049177106,0.0012046003,0.000038086455,0.00008414467,0.00010365242,0.00015019075,0.9224175,0.00015058459,0.07198867,0.0037451077,0.000027543376],"about_ca_topic_score_codex":0.012399944,"about_ca_topic_score_gemma":0.008506367,"teacher_disagreement_score":0.012399944,"about_ca_system_score_codex":0.000950855,"about_ca_system_score_gemma":0.0012493839,"threshold_uncertainty_score":0.02465552},"labels":[],"label_agreement":null},{"id":"W3120114020","doi":"10.5430/rwe.v12n1p177","title":"Does Board Composition Matter? The Relationship Between Board Characteristics and Financial Performance: Evidence From Chinese Listed Agricultural Companies","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Linkage (software); Accounting; China; Business; Context (archaeology); Agriculture; Empirical research; Independence (probability theory); Empirical evidence; Political science; Geography; Statistics","score_opus":0.06976196815766718,"score_gpt":0.2926489309972205,"score_spread":0.22288696283955334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120114020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989772,0.00017426854,0.0000295799,0.000105036306,0.0000023339173,0.0000027586134,0.00008107185,5.824875e-7,0.000627184],"genre_scores_gemma":[0.99941385,0.00013858623,0.000019538636,0.0000321884,0.0000068712966,0.0000018337696,0.00014958686,4.0879368e-7,0.00023714112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99955183,0.00008659544,0.000053651802,0.000088151755,0.00011040923,0.00010936525],"domain_scores_gemma":[0.99323696,0.0015132534,0.0037367723,0.00021649683,0.0006429585,0.00065361237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011521473,0.00015183499,0.00016712556,0.0014357339,0.0005505922,0.0007775546,0.0002811894,0.00024729464,0.0019362505],"category_scores_gemma":[0.00276043,0.000096585194,0.00019975044,0.002179912,0.00070983375,0.00051226106,0.00047379424,0.00028271144,0.00015876499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018480872,0.000017811975,0.9964424,0.000014697663,0.000023007056,0.0000918004,0.0006278908,0.00002553042,0.000104412604,0.00008631699,0.00009483467,0.002452847],"study_design_scores_gemma":[0.0000010843005,0.000014476793,0.99881124,0.0000056836634,0.000015403222,0.000018004534,0.0008235918,0.000047939884,0.000045628185,0.000020619907,0.00019498302,0.0000013173232],"about_ca_topic_score_codex":0.049356166,"about_ca_topic_score_gemma":0.09689319,"teacher_disagreement_score":0.049356166,"about_ca_system_score_codex":0.00086938933,"about_ca_system_score_gemma":0.001029517,"threshold_uncertainty_score":0.09813774},"labels":[],"label_agreement":null},{"id":"W3120245753","doi":"10.5430/rwe.v12n1p11","title":"Internationalization and Firm Performance: Case of Manufacturing Enterprises in Ecuador","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Internationalization; Business; Industrial organization; Process (computing); Panel data; Random effects model; Econometrics; Economics; International trade","score_opus":0.04392379447841703,"score_gpt":0.3109400966273203,"score_spread":0.26701630214890326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120245753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909043,0.00013254528,0.000041865467,0.000072763454,0.0000013936324,0.0000025039562,0.000046720248,0.0000010700114,0.00061066175],"genre_scores_gemma":[0.99948066,0.00012662554,0.000034414104,0.000007879094,0.0000038911307,0.0000029590815,0.00011881162,5.866118e-7,0.00022417284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996086,0.00012346648,0.000021994152,0.000052103293,0.000035107027,0.0001586896],"domain_scores_gemma":[0.9981504,0.0005688588,0.0007674333,0.00006196456,0.00024745768,0.00020375162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006092957,0.00030243606,0.0002505919,0.0013950099,0.0003671089,0.0012816034,0.00043754498,0.000414343,0.0019804405],"category_scores_gemma":[0.00235868,0.00008774916,0.00020723398,0.001907791,0.00034442393,0.00092299766,0.0009323637,0.0005005634,0.00018328338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001482226,0.00047340442,0.97897357,0.00005146483,0.0000840317,0.0026800423,0.0019517461,0.0022175466,0.00038535733,0.0009915406,0.00041795868,0.01162522],"study_design_scores_gemma":[0.000013822259,0.00015328334,0.98172945,0.00003969739,0.00006511262,0.00031710803,0.012082256,0.0035771972,0.0004236941,0.00019113622,0.0013940105,0.000013252195],"about_ca_topic_score_codex":0.024112143,"about_ca_topic_score_gemma":0.0145254815,"teacher_disagreement_score":0.024112143,"about_ca_system_score_codex":0.0008132953,"about_ca_system_score_gemma":0.00036941032,"threshold_uncertainty_score":0.047943592},"labels":[],"label_agreement":null},{"id":"W3120291882","doi":"10.5430/rwe.v12n2p37","title":"Do the Key Sectors Depend on Changing the Income Level of Countries?","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Environmental Impact 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":"","keywords":"Context (archaeology); Economic sector; Developing country; Key (lock); Business; Demographic economics; Economics; Development economics; Economic growth; Geography; Economy","score_opus":0.11142434111966527,"score_gpt":0.35605576123129423,"score_spread":0.24463142011162897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120291882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859342,0.0018785009,0.00050963485,0.001101882,0.000049456965,0.00001747378,0.0010959734,0.000010384425,0.009402435],"genre_scores_gemma":[0.9986767,0.00045982643,0.00010321266,0.000057288547,0.000014515304,0.0000039122297,0.0003319237,0.0000038857916,0.0003487326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992059,0.000115997136,0.00006443547,0.00017032842,0.000103842605,0.00033954933],"domain_scores_gemma":[0.99652016,0.0007251161,0.0016823879,0.00025630937,0.00042354924,0.00039253986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078422565,0.00017553757,0.00028288882,0.0020332083,0.00044789552,0.0015511445,0.00031083476,0.0003568754,0.006498784],"category_scores_gemma":[0.0039755465,0.00013678164,0.00047353396,0.0035973284,0.0009420863,0.002021756,0.00111876,0.00056467793,0.0009252685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008777751,0.000020891997,0.97978115,0.00006405822,0.00006452051,0.0002067931,0.00068515225,0.00014647993,0.00035906944,0.0010382143,0.00049209007,0.017053837],"study_design_scores_gemma":[0.0000011254012,0.000018028948,0.9961287,0.000022609465,0.000012436136,0.0000837622,0.002011833,0.00007302866,0.000074974116,0.00034912638,0.0012203692,0.000003945491],"about_ca_topic_score_codex":0.006647514,"about_ca_topic_score_gemma":0.008145124,"teacher_disagreement_score":0.006647514,"about_ca_system_score_codex":0.0005513195,"about_ca_system_score_gemma":0.00046932042,"threshold_uncertainty_score":0.021740615},"labels":[],"label_agreement":null},{"id":"W3120304548","doi":"10.5430/rwe.v12n1p156","title":"Employing Quantile Regression for Influences of Human Resource Management on Employee Performance","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Innovation and Knowledge 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":"Human resource management; Quantile regression; Business; Quantile; Empirical research; Resource (disambiguation); Resource management (computing); Human resources; Regression analysis; Knowledge management; Marketing; Industrial organization; Economics; Computer science; Econometrics; Management; Statistics; Mathematics","score_opus":0.13106282769033092,"score_gpt":0.3771259728386791,"score_spread":0.24606314514834818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120304548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259458,0.0008814929,0.064151004,0.00063108996,0.00009189361,0.00013257083,0.0015519521,0.00043447706,0.006179665],"genre_scores_gemma":[0.9959715,0.000110941335,0.002277071,0.000034621058,0.000015242224,0.000039600836,0.0003914453,0.000027645547,0.001131933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957729,0.0025016407,0.0001238829,0.00067870325,0.00046397533,0.00045874878],"domain_scores_gemma":[0.9767377,0.018485034,0.0017642084,0.0015945745,0.0010664035,0.0003520365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074911383,0.0004569904,0.0005859835,0.0011974599,0.00038568434,0.0013182925,0.0009252694,0.0005410054,0.00581421],"category_scores_gemma":[0.027115116,0.00020629674,0.0012911359,0.0020426724,0.000513387,0.00093127694,0.0008928376,0.0016441027,0.00086395885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031881768,0.00021892342,0.90364003,0.0001052805,0.00084840995,0.0002735439,0.00095885457,0.030918198,0.00081133767,0.005389364,0.0015268686,0.054990403],"study_design_scores_gemma":[0.000018089313,0.00041840976,0.7808457,0.000075376585,0.00037690165,0.00011854829,0.0015183873,0.20758681,0.0012967875,0.0045057395,0.0031878313,0.000051437677],"about_ca_topic_score_codex":0.033106677,"about_ca_topic_score_gemma":0.011491395,"teacher_disagreement_score":0.033106677,"about_ca_system_score_codex":0.0007671421,"about_ca_system_score_gemma":0.0011991793,"threshold_uncertainty_score":0.065827966},"labels":[],"label_agreement":null},{"id":"W3120406531","doi":"10.5430/rwe.v12n1p43","title":"The Relationship of Human Resource Practices (HRP) Constructs With Turnover Intention Among Employees in Sarawak, Malaysia","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Job Satisfaction and Organizational Behavior","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":"Turnover; Business; Human resources; Productivity; Competition (biology); Perspective (graphical); Service (business); Tertiary sector of the economy; Human resource management; Marketing; Turnover intention; Job satisfaction; Banking industry; Resource (disambiguation); Knowledge management; Management; Economics; Finance; Economic growth","score_opus":0.07788910192031986,"score_gpt":0.3381940784941232,"score_spread":0.26030497657380336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120406531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995265,0.00005387573,0.000015008481,0.000054496406,0.0000013205718,0.0000032708099,0.000019167546,6.616926e-7,0.0003256583],"genre_scores_gemma":[0.9997224,0.000045505123,0.000034250643,0.000011702877,0.000001120767,0.000003327504,0.000022203372,2.8631376e-7,0.00015918637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952257,0.00013132548,0.000078634686,0.00004289776,0.000113890244,0.00011063219],"domain_scores_gemma":[0.99668247,0.0010169359,0.0011863174,0.000099674115,0.00038542473,0.00062907103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012362913,0.00015240474,0.00015389163,0.00056712405,0.00050326216,0.00097295997,0.00027936138,0.0003706743,0.0013736358],"category_scores_gemma":[0.0021629136,0.00018955793,0.00032316247,0.0004427069,0.0004211895,0.00036395926,0.00044365914,0.00069337647,0.00016571865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020447642,0.0001280624,0.9941566,0.000024096862,0.00001392473,0.000044505756,0.0021820294,0.000047148606,0.00012326908,0.000054786833,0.0000768915,0.0031281565],"study_design_scores_gemma":[0.0000011140223,0.00009391375,0.9941631,0.000031989377,0.000008546578,0.00004378509,0.005242689,0.00019898062,0.000063788095,0.000018417439,0.00012968764,0.0000039940055],"about_ca_topic_score_codex":0.018231936,"about_ca_topic_score_gemma":0.03149507,"teacher_disagreement_score":0.018231936,"about_ca_system_score_codex":0.0007663257,"about_ca_system_score_gemma":0.0011075083,"threshold_uncertainty_score":0.036251605},"labels":[],"label_agreement":null},{"id":"W3120456281","doi":"10.5430/rwe.v12n1p1","title":"Embrace Fintech in ASEAN: A Perception Through Fintech Adoption Index","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"FinTech, Crowdfunding, Digital Finance","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":"Universiti Malaysia Sarawak","keywords":"Leverage (statistics); FinTech; Index (typography); Business; Financial services; Preference; Economics; Finance","score_opus":0.08495481603779184,"score_gpt":0.33651727508988577,"score_spread":0.25156245905209396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120456281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973877,0.000022225262,0.000055318756,0.000069926,0.0000017802699,0.000003294351,0.000044727673,0.0000011624899,0.0024138573],"genre_scores_gemma":[0.99913836,0.00007125152,0.00010412514,0.000027565246,0.000001908241,0.000005540827,0.00007425955,7.030371e-7,0.00057617924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996468,0.000099484285,0.00002811703,0.000027628976,0.00013455898,0.000063437255],"domain_scores_gemma":[0.99881506,0.0002950314,0.00037093135,0.000031915242,0.00028602214,0.00020116477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009939901,0.00018264992,0.00009544248,0.00082296645,0.0006176064,0.0010691595,0.0001126816,0.00021558713,0.0026800502],"category_scores_gemma":[0.0015366767,0.000060261333,0.00019203166,0.0010009225,0.0003737992,0.0006885077,0.000469101,0.0004458682,0.00025199133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033184784,0.00014039583,0.9648861,0.000029101722,0.00001809545,0.00032305872,0.01471775,0.00012476135,0.0008319999,0.00063892896,0.00094611006,0.01731055],"study_design_scores_gemma":[0.0000014192365,0.00009257732,0.95717216,0.000028164188,0.000008354507,0.0001487638,0.03898147,0.0005092333,0.00025428346,0.00012159232,0.0026681586,0.000013794209],"about_ca_topic_score_codex":0.011168121,"about_ca_topic_score_gemma":0.019896418,"teacher_disagreement_score":0.011168121,"about_ca_system_score_codex":0.0007718105,"about_ca_system_score_gemma":0.0004419787,"threshold_uncertainty_score":0.022206247},"labels":[],"label_agreement":null},{"id":"W3120839868","doi":"10.5430/rwe.v12n1p21","title":"Is the Minimum Wage Effective in a Context of Informality?","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Income, Poverty, and Inequality","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":"Decile; Economics; Proxy (statistics); Poverty; Context (archaeology); Panel data; Wage; Empirical evidence; Demographic economics; Minimum wage; Inequality; Labour economics; Econometrics; Geography; Economic growth; Statistics","score_opus":0.09465196240925237,"score_gpt":0.41296585963637733,"score_spread":0.31831389722712494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120839868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91391844,0.004224529,0.0021437106,0.023547783,0.00013049356,0.000021239783,0.00011569548,0.00000948772,0.055888526],"genre_scores_gemma":[0.9986198,0.0005634033,0.00015661484,0.00017712785,0.000049603044,0.000005745793,0.000010055629,0.0000017377444,0.0004159489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981406,0.00091335835,0.00006209723,0.00015407131,0.00018241402,0.00054741924],"domain_scores_gemma":[0.99434954,0.002544977,0.0021638174,0.00022331356,0.00032010835,0.00039819267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017740722,0.00017052333,0.00042865708,0.000637037,0.0008819977,0.0019251151,0.000631235,0.000835037,0.0064171026],"category_scores_gemma":[0.0115161585,0.000104883075,0.00021021995,0.0007774938,0.0025259831,0.0020140393,0.0011226358,0.00080028526,0.000296982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009840558,0.0012260146,0.43278956,0.001057549,0.00028600934,0.0022575152,0.014599018,0.0021891433,0.002886056,0.27244785,0.0052881013,0.26398915],"study_design_scores_gemma":[0.00012911274,0.0005492744,0.77548116,0.0013786822,0.00016776513,0.00068592414,0.04283661,0.002822966,0.0010518573,0.14605276,0.02879899,0.000044840755],"about_ca_topic_score_codex":0.0028825551,"about_ca_topic_score_gemma":0.004559696,"teacher_disagreement_score":0.0064171026,"about_ca_system_score_codex":0.00086781685,"about_ca_system_score_gemma":0.0009415976,"threshold_uncertainty_score":0.021467328},"labels":[],"label_agreement":null},{"id":"W3120930861","doi":"10.5430/rwe.v12n1p101","title":"Tax Revenue, Capital Formation, and Economic Growth in Nigeria","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and Economic Growth","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":"Economics; Gross domestic product; Gross fixed capital formation; Revenue; Tax revenue; Government revenue; Monetary economics; Capital formation; Order (exchange); Macroeconomics; Economic policy; Finance; Market economy; Human capital; Financial capital","score_opus":0.061106261341460064,"score_gpt":0.29163667722216613,"score_spread":0.23053041588070605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120930861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941093,0.00091906526,0.00007285984,0.00053914695,0.000015165315,0.000006497191,0.0001673265,0.0000019277372,0.0041687344],"genre_scores_gemma":[0.9982968,0.0009196283,0.000050337967,0.000017469736,0.000005375439,0.000002517652,0.00009822581,6.755411e-7,0.0006091307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987054,0.0000378783,0.000012402198,0.000014530465,0.000018525434,0.000046141762],"domain_scores_gemma":[0.9989241,0.00042769674,0.00039717494,0.000019808187,0.00010960762,0.00012176041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004806105,0.00012811308,0.00012721444,0.00075059035,0.00040268595,0.0011080411,0.000103878185,0.00018892405,0.0013703065],"category_scores_gemma":[0.0017166082,0.00009678684,0.00012705842,0.0009926354,0.0003822012,0.0006488087,0.0004234149,0.000607277,0.00013713505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011293571,0.00014206249,0.98130935,0.000044420533,0.0000179812,0.00055097055,0.0006589552,0.0015588644,0.00012484474,0.0062286197,0.0008263845,0.008424719],"study_design_scores_gemma":[0.000012616266,0.00010247552,0.97879684,0.00021902761,0.00005187494,0.00035436265,0.0057896683,0.004948408,0.00046609595,0.003485721,0.005759201,0.0000138038295],"about_ca_topic_score_codex":0.025449952,"about_ca_topic_score_gemma":0.034197118,"teacher_disagreement_score":0.025449952,"about_ca_system_score_codex":0.0011705941,"about_ca_system_score_gemma":0.0011712209,"threshold_uncertainty_score":0.05060363},"labels":[],"label_agreement":null},{"id":"W3120941609","doi":"10.5430/rwe.v12n1p31","title":"Enterprise Risk Management (ERM) and Firm’s Performance: A Study of Listed Manufacturing Firms in Nigeria","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Risk Management in Financial Firms","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":"Enterprise risk management; Hausman test; Business; Profitability index; Principal–agent problem; Context (archaeology); Risk management; Accounting; Volatility (finance); Financial risk management; Panel data; Corporate governance; Industrial organization; Economics; Finance; Econometrics; Fixed effects model","score_opus":0.03697189559692883,"score_gpt":0.2894985344022039,"score_spread":0.2525266388052751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120941609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99960726,0.00010563565,0.000010418677,0.000054411277,7.151722e-7,0.0000014819079,0.000011843641,1.4318469e-7,0.00020800407],"genre_scores_gemma":[0.999729,0.00012725328,0.000014164505,0.000011071388,0.0000017512134,8.670755e-7,0.000014237203,1.2918568e-7,0.00010150597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997166,0.000072640454,0.000040031176,0.000036108155,0.00005384349,0.0000807711],"domain_scores_gemma":[0.99760795,0.00061021367,0.0013118353,0.000040664487,0.00014918619,0.00028023194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061590783,0.00012736532,0.00014488268,0.000732473,0.00067778176,0.0010714291,0.0002001911,0.00044964257,0.00079322665],"category_scores_gemma":[0.0015287938,0.00014781336,0.00017089788,0.001061717,0.00040599678,0.0008463766,0.0005903893,0.0005832198,0.00011941738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018121451,0.00010498884,0.99452657,0.0000134853135,0.000008843758,0.0004332223,0.0020091834,0.00006909978,0.0001274034,0.00013912674,0.00006043036,0.0024894609],"study_design_scores_gemma":[0.0000011766352,0.00009379477,0.9905703,0.000028899738,0.000007931164,0.00028369986,0.0083824815,0.00021979127,0.00006988506,0.000053086766,0.0002845561,0.000004278685],"about_ca_topic_score_codex":0.009208605,"about_ca_topic_score_gemma":0.017000826,"teacher_disagreement_score":0.009208605,"about_ca_system_score_codex":0.00073181296,"about_ca_system_score_gemma":0.0005325678,"threshold_uncertainty_score":0.01831001},"labels":[],"label_agreement":null},{"id":"W3120966882","doi":"10.5430/rwe.v12n1p94","title":"Impact of Industrial Revolution 4.0 on the Labor Market in Vietnam","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Impulse Buying and Technology Impacts","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":"Secondary labor market; Industrial Revolution; Labor relations; Factor market; Economics; Automation; Industrialisation; Business; Market economy; Industrial organization; Labour economics; Economic system; Engineering; Political science","score_opus":0.16516542535241482,"score_gpt":0.35173097079297155,"score_spread":0.18656554544055673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120966882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202599,0.0014711594,0.00009136783,0.008426347,0.000100034245,0.000022774464,0.00040725767,0.000007331672,0.06921385],"genre_scores_gemma":[0.9911823,0.00073519204,0.000030296591,0.00044436488,0.000028406943,0.0000056732456,0.00014345306,0.000004766075,0.007425622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993808,0.00013102952,0.000009823954,0.000024055322,0.00007681657,0.00037746062],"domain_scores_gemma":[0.9991105,0.000107851694,0.00014346084,0.000013983553,0.00016078287,0.00046337163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005257184,0.00008237437,0.00012694592,0.00039127524,0.00113369,0.0015416935,0.00022658124,0.00031854725,0.010780179],"category_scores_gemma":[0.00084441784,0.00009022893,0.00015059239,0.0006494608,0.0006902309,0.00069531193,0.0008503141,0.00072499365,0.00040714868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006163874,0.00092935,0.6718112,0.00041583402,0.00010684095,0.0066199484,0.02372668,0.002938324,0.0021886567,0.15850385,0.044791933,0.08735095],"study_design_scores_gemma":[0.000047983012,0.00024282183,0.85249555,0.00025813663,0.000023721079,0.00030800636,0.043726984,0.0015548706,0.0005142789,0.0053072204,0.09549003,0.000030461311],"about_ca_topic_score_codex":0.09559775,"about_ca_topic_score_gemma":0.117181204,"teacher_disagreement_score":0.09559775,"about_ca_system_score_codex":0.003259026,"about_ca_system_score_gemma":0.003904178,"threshold_uncertainty_score":0.19008261},"labels":[],"label_agreement":null},{"id":"W3121857419","doi":"10.5430/rwe.v12n2p146","title":"Poverty of the Elderly in Korea","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing, Finance, and Neoliberalism","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":"Poverty; Poverty rate; Pace; Birth rate; Development economics; Economics; Population; Population ageing; Economic growth; Sociology; Demography; Geography; Fertility","score_opus":0.07959007747009855,"score_gpt":0.2988623408861692,"score_spread":0.21927226341607065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121857419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967449,0.00042854127,0.000028649167,0.0010889086,0.000008786226,0.0000048251645,0.00021794047,0.0000010664188,0.0014764813],"genre_scores_gemma":[0.99875426,0.0005658386,0.00002600902,0.0001765708,0.000005291739,0.0000042227985,0.0000868004,7.533967e-7,0.00038038768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998423,0.00003405433,0.000015494092,0.000016163014,0.000014623543,0.00007730286],"domain_scores_gemma":[0.9996904,0.000016756187,0.00012439376,0.00000590414,0.000050827435,0.000111690715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029453338,0.00011521384,0.00013853847,0.00072766683,0.0006685182,0.00059252867,0.0001532913,0.00023479149,0.0012200304],"category_scores_gemma":[0.00039874337,0.000112872476,0.00019191342,0.00069524377,0.00027587343,0.00068915397,0.0010465358,0.00036095272,0.000091993104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001331865,0.00016217539,0.95391494,0.00016268132,0.00008689999,0.002555172,0.0075431014,0.000345199,0.0007050082,0.0031863258,0.0067354594,0.024469838],"study_design_scores_gemma":[0.000011761614,0.000109808345,0.9520657,0.00016475808,0.000045475612,0.0010082449,0.03627039,0.00057220063,0.00014668751,0.0013026136,0.008280395,0.000021901578],"about_ca_topic_score_codex":0.019101555,"about_ca_topic_score_gemma":0.03883309,"teacher_disagreement_score":0.019101555,"about_ca_system_score_codex":0.00079819845,"about_ca_system_score_gemma":0.0009310427,"threshold_uncertainty_score":0.037980735},"labels":[],"label_agreement":null},{"id":"W3122020906","doi":"10.5430/rwe.v12n2p113","title":"Remuneration Reforms and Welfare of Employees in Public Schools: Experience From Nigeria","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Scheduling and Timetabling Solutions","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":"Remuneration; Welfare; Consumption (sociology); Earnings; Business; Government (linguistics); Economics; Labour economics; Accounting; Finance","score_opus":0.2979810839495878,"score_gpt":0.45997531148296567,"score_spread":0.1619942275333779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122020906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993709,0.000111412075,0.00001024156,0.00010722132,0.0000029494256,0.0000037007815,0.0000067344163,3.8178763e-7,0.00038657253],"genre_scores_gemma":[0.9984092,0.0003833406,0.00003068875,0.00007984903,0.0000034641432,0.0000035380504,0.000009335025,8.0603405e-7,0.001079847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934405,0.00022813836,0.000034619767,0.000034116467,0.000060312563,0.0002987658],"domain_scores_gemma":[0.9990343,0.00023019467,0.00023849301,0.00003148809,0.0001261394,0.00033938646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010175471,0.00016362533,0.00019943988,0.0003047667,0.0023687729,0.0008821204,0.00030430473,0.00047734217,0.0017983698],"category_scores_gemma":[0.0012469711,0.00023703245,0.00015953848,0.00045091243,0.0008938743,0.0005032919,0.0010276189,0.00081451953,0.00020477753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003347641,0.0011531648,0.53772724,0.0003148449,0.000017517148,0.0047187814,0.40398088,0.00018755495,0.0026007772,0.0009584757,0.0014147045,0.046591308],"study_design_scores_gemma":[0.000008790805,0.0007828799,0.29916343,0.00013492828,0.00001499918,0.0008168325,0.68774134,0.00009708783,0.00062384317,0.00009373291,0.0105027845,0.000019382338],"about_ca_topic_score_codex":0.015690845,"about_ca_topic_score_gemma":0.050386563,"teacher_disagreement_score":0.015690845,"about_ca_system_score_codex":0.0011675912,"about_ca_system_score_gemma":0.0016263198,"threshold_uncertainty_score":0.031198978},"labels":[],"label_agreement":null},{"id":"W3122067394","doi":"10.5430/rwe.v12n1p293","title":"The Political Economy of Industrialisation in Nigeria: Is Ethnicity a Constraint?","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Indian Economic and Social Development","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":"Industrialisation; Underdevelopment; Ethnic group; Politics; Pluralism (philosophy); Development economics; Constraint (computer-aided design); Political science; Political economy; Economics; Economic growth; Law","score_opus":0.1658648254113564,"score_gpt":0.3437686887159802,"score_spread":0.17790386330462382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122067394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78250605,0.0034133256,0.00064735586,0.027001964,0.000078939265,0.000016008711,0.00009071187,0.0000036169936,0.1862421],"genre_scores_gemma":[0.99640536,0.0012577928,0.00004689399,0.000227384,0.000028763732,0.0000039333604,0.000011818095,0.0000015214517,0.0020166596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994979,0.00022132127,0.0000146063685,0.000030362464,0.000056082354,0.00017964024],"domain_scores_gemma":[0.99879885,0.0004359541,0.00041957316,0.000032690135,0.000091481576,0.00022145035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075666426,0.00007388055,0.00018737407,0.0006167961,0.0015402561,0.0038252887,0.00015229594,0.00050961756,0.003994808],"category_scores_gemma":[0.001678145,0.00011299384,0.000103588354,0.00092423457,0.003112297,0.0012974166,0.001309948,0.00094649155,0.00018599845],"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":[0.00013094203,0.00014922809,0.16019043,0.00014701879,0.000026095564,0.0014072938,0.012499667,0.0020273372,0.00067441026,0.78484327,0.004112996,0.033791292],"study_design_scores_gemma":[0.00005677839,0.00008996133,0.5363028,0.0008390994,0.00005325683,0.0007773159,0.08906794,0.0067583025,0.00060716167,0.26149213,0.103901096,0.000054130698],"about_ca_topic_score_codex":0.016746532,"about_ca_topic_score_gemma":0.029602548,"teacher_disagreement_score":0.016746532,"about_ca_system_score_codex":0.0026625886,"about_ca_system_score_gemma":0.0020405797,"threshold_uncertainty_score":0.033298075},"labels":[],"label_agreement":null},{"id":"W3122889919","doi":"10.5430/rwe.v12n2p186","title":"Human Capital and Its Impact on Promoting the Knowledge Economy “Saudi Arabia as a Model”- An Applied Study During the Period (2010-2020)","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Socioeconomic Development in MENA","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":"Human capital; Period (music); Economy; Knowledge economy; Narrative; Set (abstract data type); Order (exchange); Economics; Classical economics; Economic growth; Computer science; Finance","score_opus":0.07135275247512687,"score_gpt":0.40545900675658975,"score_spread":0.3341062542814629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122889919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955636,0.00023611021,0.000050316237,0.00024168612,0.00000736106,0.000010505678,0.00005897573,7.405048e-7,0.0038306112],"genre_scores_gemma":[0.99928194,0.00017808177,0.000062199426,0.00001499122,0.0000025829527,0.0000036549172,0.000024204468,2.344783e-7,0.00043212282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996712,0.00013597716,0.000014774594,0.000028676255,0.00005003408,0.00009929316],"domain_scores_gemma":[0.99921584,0.00017955531,0.00019635356,0.00003128946,0.00020052746,0.00017652425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009234757,0.00017674311,0.00010580342,0.0005621995,0.00057982525,0.0014720508,0.00019486404,0.0003257857,0.0009893243],"category_scores_gemma":[0.0013234641,0.000053778112,0.00018574572,0.00083330064,0.00041654074,0.00068697135,0.00081108534,0.00031794317,0.00010923763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006884503,0.0012255352,0.86335427,0.00031778304,0.00018907429,0.0012458737,0.02186147,0.003959692,0.0023052348,0.014607813,0.0027499723,0.087494746],"study_design_scores_gemma":[0.000015721711,0.00062646775,0.9189572,0.00022736508,0.00010831017,0.0001811019,0.059818525,0.004664875,0.0017356967,0.0010597359,0.012577585,0.0000275314],"about_ca_topic_score_codex":0.032586582,"about_ca_topic_score_gemma":0.04351496,"teacher_disagreement_score":0.032586582,"about_ca_system_score_codex":0.0024051869,"about_ca_system_score_gemma":0.0017608762,"threshold_uncertainty_score":0.064793825},"labels":[],"label_agreement":null},{"id":"W3123828586","doi":"10.5430/rwe.v12n2p197","title":"Environmental Legitimacy Through Adopting Green Products and Its Effect on the Brand Equity: Moderating Role of Management Awareness","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Environmental Sustainability in Business","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":"Brand equity; Business; Legitimacy; Marketing; Moderation; Personality; Brand awareness; Brand management; Psychology; Social psychology; Political science","score_opus":0.050544677873695924,"score_gpt":0.30645716137948076,"score_spread":0.2559124835057848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123828586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947129,0.000103636165,0.00017245725,0.0002689615,0.000007957499,0.000013002191,0.000013783094,0.000003438981,0.0047038128],"genre_scores_gemma":[0.9992225,0.000055694178,0.00012660465,0.000030523013,0.000007527948,0.000003991263,0.0000074840395,0.0000012267282,0.0005443122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818414,0.0008408049,0.00008057886,0.0001834884,0.00042403783,0.0002869408],"domain_scores_gemma":[0.984608,0.0077673486,0.004716239,0.0005694634,0.00092395104,0.0014149736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017661352,0.00026777422,0.00021108463,0.00053668546,0.0005658139,0.0015282183,0.00025677498,0.00050035614,0.004797115],"category_scores_gemma":[0.009200368,0.0001582306,0.0003491286,0.00032987492,0.00094102946,0.00072659174,0.0010737496,0.00097636116,0.00016477577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028703458,0.0012891826,0.95778954,0.00007510881,0.00015126569,0.0004737688,0.005262592,0.00017258617,0.0030936503,0.0018792737,0.00021569095,0.02931034],"study_design_scores_gemma":[0.000008608703,0.00024795474,0.9927489,0.000035507866,0.000079205616,0.00012465345,0.003468361,0.00042734455,0.000839735,0.00078110315,0.0012279766,0.000010654372],"about_ca_topic_score_codex":0.0023501383,"about_ca_topic_score_gemma":0.003981474,"teacher_disagreement_score":0.004797115,"about_ca_system_score_codex":0.00059793604,"about_ca_system_score_gemma":0.0013279477,"threshold_uncertainty_score":0.016047895},"labels":[],"label_agreement":null},{"id":"W3123979839","doi":"10.5430/rwe.v12n2p123","title":"The Straits of Malacca and Singapore: Maritime Conduits of Global Importance","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Maritime Security and History","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":"Politics; Economy; Political science; Geography; International trade; Business; Economics; Law","score_opus":0.06922994105302208,"score_gpt":0.38262304706510386,"score_spread":0.3133931060120818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123979839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80568427,0.008873719,0.0002542499,0.012985078,0.0001619925,0.000015984275,0.00017764658,0.000019902998,0.17182712],"genre_scores_gemma":[0.98641044,0.0025296693,0.000090880516,0.00040570315,0.00002275567,0.0000050526382,0.000042437277,0.0000049976848,0.010488053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99983585,0.000059766488,0.00000894078,0.000018809014,0.000024744177,0.000051830637],"domain_scores_gemma":[0.99982053,0.000035425634,0.000068677924,0.000011256617,0.000018705117,0.00004549171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024684967,0.0001848859,0.00009429368,0.00038414574,0.0019222777,0.0024960807,0.00019765449,0.00040801242,0.00462242],"category_scores_gemma":[0.00028621536,0.00009103059,0.00007833952,0.0009816904,0.002450129,0.0016539012,0.0019653647,0.0007048854,0.00032689888],"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":[0.00019029377,0.00007353664,0.13536753,0.0007170128,0.000064306885,0.00777023,0.22078773,0.0006609178,0.003610125,0.46186015,0.022264406,0.14663371],"study_design_scores_gemma":[0.000006750637,0.00013287459,0.21869238,0.00064050744,0.0000246151,0.001879614,0.17208703,0.00030384638,0.0008716476,0.010431635,0.5948837,0.000045373727],"about_ca_topic_score_codex":0.017797794,"about_ca_topic_score_gemma":0.057286944,"teacher_disagreement_score":0.017797794,"about_ca_system_score_codex":0.002351459,"about_ca_system_score_gemma":0.0020830848,"threshold_uncertainty_score":0.03538841},"labels":[],"label_agreement":null},{"id":"W3123998537","doi":"10.5430/rwe.v12n1p267","title":"Financial Development on Employment Rate in Nigeria","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Unemployment and Economic Growth","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":"Nexus (standard); Economics; Premise; Inflation rate; Sustainable development; Unemployment; Unemployment rate; Inflation (cosmology); Macroeconomics; Interest rate; Finance; Political science","score_opus":0.1270558344366876,"score_gpt":0.31103731609218566,"score_spread":0.18398148165549805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123998537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99130917,0.0012023684,0.000048172078,0.00059426547,0.000018447772,0.0000034788177,0.00021517758,0.0000016145237,0.0066073462],"genre_scores_gemma":[0.99859685,0.00072762993,0.000016505854,0.000023090644,0.00001019238,0.0000016395992,0.0000843275,6.812734e-7,0.000539071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998066,0.000042960557,0.00001684262,0.00001699216,0.00003702492,0.000079556434],"domain_scores_gemma":[0.99911886,0.00019129175,0.00039820254,0.0000116126985,0.00013847492,0.00014151292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041354686,0.00009405913,0.00013126516,0.00076471997,0.0003560326,0.0009920412,0.000093541224,0.00021879481,0.0023529485],"category_scores_gemma":[0.0015112278,0.00006341766,0.0001387074,0.00085661415,0.00023812018,0.0005087689,0.00055566,0.00045267277,0.0002717237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012514714,0.00008910039,0.9768982,0.000075144126,0.000024388002,0.00067647774,0.00069780904,0.001014053,0.000355869,0.0036778883,0.0007787953,0.015587072],"study_design_scores_gemma":[0.0000037197383,0.00005281425,0.9925649,0.00014833637,0.000015708998,0.00016871588,0.0023049526,0.0008914445,0.00015896832,0.00057464826,0.003109028,0.000006650035],"about_ca_topic_score_codex":0.0081713265,"about_ca_topic_score_gemma":0.011293727,"teacher_disagreement_score":0.0081713265,"about_ca_system_score_codex":0.00057096704,"about_ca_system_score_gemma":0.00056635943,"threshold_uncertainty_score":0.01624751},"labels":[],"label_agreement":null},{"id":"W3124529902","doi":"10.5430/rwe.v12n2p158","title":"Adoption of IFRS for SMEs in Albania","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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; Business; International Financial Reporting Standards; Globalization; Financial statement; Financial accounting; Finance; Quality (philosophy); Accounting standard; Financial ratio; Stakeholder; Corporate governance; Accounting information system; Accounting management; Audit; Economics","score_opus":0.04910890364133429,"score_gpt":0.3077911774890765,"score_spread":0.2586822738477422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124529902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875266,0.0003830648,0.0002932699,0.0030836577,0.000025405301,0.00007210965,0.00007354929,0.000028455519,0.00851379],"genre_scores_gemma":[0.9973527,0.0003527545,0.00050926034,0.0002035391,0.000015489479,0.00003169034,0.00005374754,0.0000037928353,0.0014771718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997359,0.00089048716,0.00031904373,0.00019072404,0.0008648312,0.00037600534],"domain_scores_gemma":[0.9877851,0.0030219948,0.0045596655,0.00073193957,0.0026127822,0.0012885018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039556515,0.0001376927,0.00014202188,0.0010548171,0.00091457705,0.0019184612,0.00030484804,0.0003444461,0.0027771958],"category_scores_gemma":[0.015197039,0.000103473045,0.0001478802,0.0008602352,0.0005482174,0.0011540492,0.0012197823,0.0005844209,0.0003590062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014006859,0.00036616324,0.5983486,0.00068312656,0.000022624647,0.002841403,0.08459012,0.0002131589,0.008152981,0.004057627,0.005674697,0.29490942],"study_design_scores_gemma":[0.00001108789,0.00026317994,0.90897346,0.000463684,0.000018335646,0.0010681883,0.061537746,0.000601768,0.0015207159,0.00058030855,0.024919827,0.000041641397],"about_ca_topic_score_codex":0.007669957,"about_ca_topic_score_gemma":0.009020969,"teacher_disagreement_score":0.007669957,"about_ca_system_score_codex":0.0015805351,"about_ca_system_score_gemma":0.0020380595,"threshold_uncertainty_score":0.02091974},"labels":[],"label_agreement":null},{"id":"W3124728540","doi":"10.5430/rwe.v12n1p279","title":"The Role of Social Marketing in the Prevention of Corona Virus (Covid-19) in Jordan","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Government (linguistics); Social marketing; Pandemic; Coronavirus disease 2019 (COVID-19); Public relations; Political science; General partnership; Economic growth; Sample (material); Marketing; Business; Sociology; Economics; Medicine","score_opus":0.07058988163429777,"score_gpt":0.360759990112416,"score_spread":0.2901701084781182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124728540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937389,0.0013892206,0.00006884621,0.0017051111,0.000014283842,0.000029328112,0.000012162745,0.0000022856173,0.003039711],"genre_scores_gemma":[0.9983041,0.0007893582,0.00013494844,0.00018928335,0.000016152917,0.00001033212,0.00000628517,9.3903594e-7,0.0005484802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863523,0.0008887649,0.000037122605,0.000054427044,0.0001419222,0.00024254003],"domain_scores_gemma":[0.99814177,0.0004903504,0.0005530567,0.000031586886,0.00022549267,0.00055772567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024198003,0.00019448444,0.00018866482,0.00051633944,0.0011484277,0.0012804248,0.0002749114,0.00049876474,0.002147787],"category_scores_gemma":[0.0030485408,0.00011783917,0.0002603239,0.00029706638,0.00064982235,0.0006780189,0.0008902043,0.0006093529,0.00012341987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035991427,0.0032624805,0.8424049,0.00043603778,0.00010258494,0.0005460309,0.02101329,0.00016706614,0.0007868631,0.0018233237,0.0010453905,0.12805218],"study_design_scores_gemma":[0.0000795769,0.0018179931,0.9233814,0.00042761528,0.000118109696,0.0005096734,0.05617068,0.00084168476,0.0006678087,0.001180145,0.01478331,0.000021918195],"about_ca_topic_score_codex":0.0041901274,"about_ca_topic_score_gemma":0.0059929937,"teacher_disagreement_score":0.0041901274,"about_ca_system_score_codex":0.0011525099,"about_ca_system_score_gemma":0.002864767,"threshold_uncertainty_score":0.012797296},"labels":[],"label_agreement":null},{"id":"W3124988582","doi":"10.5430/rwe.v12n2p178","title":"The Impact of Working Capital Management on Solvency: Empirical Study From Listed Companies in Vietnam","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Working Capital and Financial Performance","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":"Solvency; Stock exchange; Working capital; Business; Index (typography); Solvency ratio; Vietnamese; Finance; Economics","score_opus":0.1089975447523232,"score_gpt":0.35540198644509946,"score_spread":0.24640444169277625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124988582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995863,0.000057832243,0.000016631528,0.000027608183,6.542398e-7,0.0000023579007,0.000055420554,3.406708e-7,0.0002528771],"genre_scores_gemma":[0.9995047,0.00008786777,0.000019572437,0.0000092483715,0.0000023691628,0.0000017071845,0.00016667935,4.585155e-7,0.00020743422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974626,0.000050300216,0.000029812636,0.00003438509,0.0000633909,0.000075835334],"domain_scores_gemma":[0.99698013,0.00073179737,0.0013190323,0.000078904086,0.00032612425,0.0005640627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005999857,0.00015137499,0.00015431539,0.0006946116,0.00039600098,0.000734175,0.00032973595,0.00021840297,0.0009942226],"category_scores_gemma":[0.0017213393,0.00013306884,0.00021138575,0.0009416932,0.00036813365,0.00052311434,0.00042347706,0.00041781995,0.00011008129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021210451,0.00011431258,0.99419713,0.000020185318,0.00002354319,0.0003151441,0.0016984609,0.00023394186,0.000097798555,0.00011084745,0.00015250554,0.0030148623],"study_design_scores_gemma":[0.0000026406485,0.000050876613,0.9942405,0.000016555554,0.00001314496,0.000092566865,0.004345528,0.0006944074,0.00009126343,0.00003357214,0.00041499696,0.0000039718743],"about_ca_topic_score_codex":0.050113294,"about_ca_topic_score_gemma":0.06298773,"teacher_disagreement_score":0.050113294,"about_ca_system_score_codex":0.0009005384,"about_ca_system_score_gemma":0.000915879,"threshold_uncertainty_score":0.09964317},"labels":[],"label_agreement":null},{"id":"W3125183460","doi":"10.5430/rwe.v12n2p166","title":"Employee’s Attitude and Organizational Sustainability Performance: An Evidence From Jordan’s Banking Sector","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Sustainability; Business; Sustainability organizations; Order (exchange); Social sustainability; Marketing; Finance","score_opus":0.06418596787759875,"score_gpt":0.3309464991253573,"score_spread":0.26676053124775856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125183460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672276,0.0009081756,0.000045569137,0.0004370713,0.000007790037,0.0000045365364,0.00002552387,6.838872e-7,0.001847896],"genre_scores_gemma":[0.99833626,0.0010570765,0.000060561382,0.0002126382,0.000012132878,0.0000047976923,0.000031633772,6.452366e-7,0.00028418202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999074,0.00032262062,0.000084225736,0.000085067855,0.00028966423,0.00014441594],"domain_scores_gemma":[0.9936783,0.0024192731,0.0017283517,0.0001390761,0.0014487819,0.0005861412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023295826,0.00013943676,0.00020200478,0.0011032878,0.0010489668,0.001316796,0.0003212414,0.00056876696,0.0022359437],"category_scores_gemma":[0.0037145724,0.00015093424,0.00027352784,0.0014789257,0.00067504693,0.0007956719,0.00070013874,0.00056057074,0.00033487412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010624131,0.0004814293,0.93951607,0.0005871571,0.0000882474,0.00054006604,0.02325404,0.00007606458,0.00044546337,0.00058521674,0.0007077963,0.033612214],"study_design_scores_gemma":[0.0000076352735,0.0002174107,0.9359526,0.00042886674,0.00006949308,0.00020956114,0.059568867,0.0001319396,0.00030399044,0.00014901349,0.0029493999,0.000011362818],"about_ca_topic_score_codex":0.0059248307,"about_ca_topic_score_gemma":0.0139252385,"teacher_disagreement_score":0.0059248307,"about_ca_system_score_codex":0.0006401983,"about_ca_system_score_gemma":0.0022221918,"threshold_uncertainty_score":0.012320161},"labels":[],"label_agreement":null},{"id":"W3125284461","doi":"10.5430/rwe.v12n2p99","title":"Does the Tax System Reduce Tax Evasion in Light of the Governance Mechanisms? Evidence From Jordan","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Taxation and Compliance Studies","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":"Taxpayer; Indirect tax; Ad valorem tax; Value-added tax; Business; Tax credit; Public economics; Tax reform; Exaggeration; Direct tax; Tax avoidance; Accounting; Audit; Evasion (ethics); Tax evasion; Economics; Macroeconomics","score_opus":0.10413512457649107,"score_gpt":0.30869632674189973,"score_spread":0.20456120216540866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125284461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97514707,0.00249095,0.00024030937,0.0039853416,0.000037011414,0.000040322906,0.000089335794,0.000007517962,0.017962202],"genre_scores_gemma":[0.9962813,0.0014202875,0.00012376165,0.0004816435,0.0000261632,0.0000062525346,0.00006778889,0.0000034039601,0.001589388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762976,0.0012217113,0.00012090097,0.00018225738,0.0004972683,0.0003480605],"domain_scores_gemma":[0.9903044,0.0023717296,0.0039825104,0.00042952618,0.0022263122,0.000685433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003291523,0.00021409687,0.00024363463,0.00085191464,0.0008939059,0.0015756943,0.0006556026,0.0005195683,0.006143476],"category_scores_gemma":[0.00855289,0.00013511976,0.00034906968,0.0010665521,0.0012479364,0.0011120309,0.000949631,0.0007128667,0.0005685683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008641341,0.0022136397,0.7965616,0.0014101969,0.00039694557,0.0014536777,0.0145932045,0.0012127263,0.0007758935,0.023337565,0.008045579,0.14913493],"study_design_scores_gemma":[0.00017856032,0.0007786382,0.8915897,0.0013733456,0.00029377273,0.0004677868,0.047139104,0.0011980882,0.0014080738,0.0039329305,0.051605836,0.0000341901],"about_ca_topic_score_codex":0.0110466685,"about_ca_topic_score_gemma":0.015095624,"teacher_disagreement_score":0.0110466685,"about_ca_system_score_codex":0.0015258539,"about_ca_system_score_gemma":0.003839517,"threshold_uncertainty_score":0.021964729},"labels":[],"label_agreement":null},{"id":"W3125498746","doi":"10.5430/rwe.v8n1p1","title":"Mall Flicks - The Mall Boom in Turkey with an Unexpected Byproduct: The Movie Sector Expansion","year":2017,"lang":"en","type":"article","venue":"Research in World Economy","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":"Boom; Real estate; Shopping mall; Metropolitan area; Urbanization; Construct (python library); Business; Resizing; Economics; Economy; Advertising; Economic growth; Computer science; Engineering; Geography; Economic policy; Finance","score_opus":0.13818246249650581,"score_gpt":0.3168477842779853,"score_spread":0.1786653217814795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125498746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919487,0.00051624083,0.00033899458,0.0008635755,0.000050173898,0.000018421159,0.002803238,0.000025825562,0.0061886907],"genre_scores_gemma":[0.9951368,0.000287781,0.00020303612,0.00015215595,0.00002518351,0.000006194009,0.002478411,0.0000096357935,0.0017007336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997806,0.000029699808,0.000013408128,0.00006113202,0.00004018974,0.00007500839],"domain_scores_gemma":[0.99940836,0.000083117535,0.0002496809,0.000038670023,0.00014483092,0.00007527945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029023914,0.0002501064,0.00027977853,0.0006778651,0.00046011878,0.0012128055,0.00027164392,0.0005106148,0.004171898],"category_scores_gemma":[0.0006209657,0.00013801422,0.00031286268,0.0013747193,0.00038269247,0.0010894145,0.00067799725,0.0009151904,0.0005662271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007172568,0.00034610837,0.8680109,0.00050215964,0.00018301213,0.007390834,0.002673795,0.006446477,0.0023317141,0.009951023,0.04948227,0.05196455],"study_design_scores_gemma":[0.000021215885,0.00009287739,0.9662605,0.00006715602,0.00005937716,0.0005331504,0.007259102,0.005318351,0.0008778787,0.0007355756,0.018743627,0.0000311589],"about_ca_topic_score_codex":0.06611,"about_ca_topic_score_gemma":0.110075705,"teacher_disagreement_score":0.06611,"about_ca_system_score_codex":0.0015290821,"about_ca_system_score_gemma":0.0006793795,"threshold_uncertainty_score":0.13145041},"labels":[],"label_agreement":null},{"id":"W3125745845","doi":"10.5430/rwe.v12n2p86","title":"Influence of Health and Safety Training, Safety Monitoring and Enforcement of Compliance on Employee Efficiency in Manufacturing Firms","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Enforcement; Business; Occupational safety and health; Safety monitoring; Descriptive statistics; Operations management; Medicine; Engineering; Statistics","score_opus":0.25949416733133657,"score_gpt":0.511575782571214,"score_spread":0.2520816152398775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125745845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847955,0.00009968239,0.00011288473,0.00016560794,0.000002886835,0.000007141532,0.000010316999,0.0000028227169,0.0011191465],"genre_scores_gemma":[0.99965453,0.000038857757,0.00006307585,0.000023539558,0.0000025562658,0.0000029323667,0.000009298287,6.530265e-7,0.00020460115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99518543,0.002453982,0.00026580927,0.00029559655,0.00090937025,0.0008898093],"domain_scores_gemma":[0.97007096,0.01604655,0.008450891,0.000786725,0.0018677191,0.0027771506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035960842,0.00014280122,0.00021355377,0.0005852294,0.000565009,0.0011688843,0.000363518,0.0005292736,0.001768027],"category_scores_gemma":[0.013318241,0.00013876839,0.00025074533,0.0006100188,0.00054356444,0.0004555236,0.0007299049,0.00053480396,0.00015224062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019007722,0.00094967225,0.9705401,0.0000685916,0.000086358,0.00021702326,0.0015972606,0.0012288757,0.0008190204,0.00039305328,0.00029823827,0.023611713],"study_design_scores_gemma":[0.0000039870606,0.00015121809,0.9975472,0.000019973593,0.000016563983,0.000021418118,0.0012760701,0.0005387563,0.00014179734,0.00004918344,0.00022841724,0.0000053202225],"about_ca_topic_score_codex":0.009178638,"about_ca_topic_score_gemma":0.012347125,"teacher_disagreement_score":0.009178638,"about_ca_system_score_codex":0.0014044009,"about_ca_system_score_gemma":0.0024858203,"threshold_uncertainty_score":0.019018114},"labels":[],"label_agreement":null},{"id":"W3126123541","doi":"10.5430/rwe.v12n2p132","title":"Human Capital and Manufacturing Output in Nigeria: A Micro-Data Survey","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Growth and Productivity","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":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Human capital; Business; Quality (philosophy); Manufacturing; Industrial organization; Survey data collection; Value (mathematics); Marketing; Economics; Economic growth","score_opus":0.1843484387329996,"score_gpt":0.3287500659445661,"score_spread":0.14440162721156652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126123541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958782,0.00016311515,0.00011167439,0.0001186722,0.0000039091065,0.000018821633,0.0023659458,0.000002173439,0.0013374957],"genre_scores_gemma":[0.99698097,0.00034930513,0.00024773882,0.000046622583,0.000006178737,0.000030469708,0.0014017369,0.0000014177575,0.00093542394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996984,0.00007835863,0.000041774212,0.000036581547,0.000085958076,0.000058950758],"domain_scores_gemma":[0.99877936,0.00032910038,0.00053976703,0.000048855843,0.00016694039,0.00013603215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004496535,0.00012503646,0.00016827848,0.000989584,0.0003734024,0.0006394796,0.00017587951,0.00028525727,0.0015394512],"category_scores_gemma":[0.0016423528,0.00017368485,0.00015435852,0.0021646328,0.00019506796,0.00042658934,0.0005060543,0.00044093843,0.0005207307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015851363,0.00003997178,0.9959453,0.000026926225,0.000007691133,0.00012602574,0.00061720744,0.00010230998,0.00011465619,0.000079379584,0.00032503877,0.0025995465],"study_design_scores_gemma":[0.0000010598231,0.000052250543,0.99551034,0.000028876164,0.0000050532794,0.00013865359,0.0026800898,0.00026002384,0.00011026851,0.000040380633,0.0011693153,0.0000036648817],"about_ca_topic_score_codex":0.010955795,"about_ca_topic_score_gemma":0.021886555,"teacher_disagreement_score":0.010955795,"about_ca_system_score_codex":0.0003888864,"about_ca_system_score_gemma":0.00036249348,"threshold_uncertainty_score":0.021784008},"labels":[],"label_agreement":null},{"id":"W3127210942","doi":"10.5430/rwe.v12n2p218","title":"Investigating Online Social Media Network Acceptance in the Tourism and Hospitality Industry in Oman","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Hospitality; Tourism; Hospitality industry; Marketing; Business; Structural equation modeling; Social media; Hospitality management studies; Geography; Political science","score_opus":0.13057939815402492,"score_gpt":0.40817107532851676,"score_spread":0.27759167717449185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127210942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906653,0.000028264903,0.00001851744,0.000064669395,0.0000023478808,0.0000061918035,0.000012437133,3.4684325e-7,0.0008007201],"genre_scores_gemma":[0.99931896,0.00008210065,0.000040623316,0.000038679435,0.0000045897827,0.000015215131,0.000022014447,6.462099e-7,0.000477134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991844,0.00027431236,0.000044207853,0.00005164189,0.00019031749,0.0002550859],"domain_scores_gemma":[0.99808013,0.0005688865,0.00066554814,0.000044519682,0.0003426762,0.00029822864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011348737,0.00025104074,0.00022318089,0.0011621331,0.0015266968,0.0016065432,0.0003051682,0.0004778206,0.0025089788],"category_scores_gemma":[0.0022289136,0.00017012462,0.00032923522,0.0011288734,0.00062312366,0.0010846509,0.00088542135,0.000679644,0.00027696104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004830376,0.0006177444,0.94157517,0.000065157146,0.000035609588,0.00040300167,0.043108776,0.000073253184,0.00057919533,0.000514428,0.00032028128,0.012659177],"study_design_scores_gemma":[0.0000020391708,0.00012762267,0.886114,0.00004155267,0.000014553749,0.00011132136,0.111967504,0.00031966105,0.000117362695,0.00006752819,0.0011084275,0.000008463452],"about_ca_topic_score_codex":0.017778175,"about_ca_topic_score_gemma":0.033671733,"teacher_disagreement_score":0.017778175,"about_ca_system_score_codex":0.0013041277,"about_ca_system_score_gemma":0.0010331091,"threshold_uncertainty_score":0.03534943},"labels":[],"label_agreement":null},{"id":"W3127249494","doi":"10.5430/rwe.v12n2p228","title":"Chinese and Indian Stock Markets: Linkages and Interdependencies","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Quantile; Economics; Econometrics; Recession; Quantile regression; Interdependence; Stock (firearms); Ordinary least squares; Robustness (evolution); Stock market; China; Monetary economics; Emerging markets; Financial economics; Macroeconomics; Geography","score_opus":0.05056136142629651,"score_gpt":0.32049688226607465,"score_spread":0.2699355208397781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127249494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905309,0.00058221165,0.00037794764,0.00045412834,0.000008546677,0.000011061772,0.0006313239,0.000028887096,0.0073750666],"genre_scores_gemma":[0.9983169,0.00031526983,0.000085923646,0.000036583744,0.000011327214,0.000004378958,0.0003877304,0.0000043681257,0.0008376215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971026,0.000038402908,0.000022320273,0.000062712345,0.000079002086,0.00008724609],"domain_scores_gemma":[0.9984113,0.00033258984,0.0007464519,0.00009676092,0.0002711629,0.00014165026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037067078,0.0001954064,0.0002921013,0.0029281224,0.0004243408,0.0015271149,0.00036189525,0.00019048159,0.0036746801],"category_scores_gemma":[0.0018564297,0.0001865083,0.0005491106,0.004933074,0.0004935295,0.0008582069,0.0010252959,0.00042307997,0.0002880616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008596499,0.000035962552,0.96630937,0.00006290161,0.0003220622,0.0004915702,0.0008632536,0.0022748413,0.0009862108,0.007371891,0.0012665063,0.01992953],"study_design_scores_gemma":[0.000003232496,0.0000124679045,0.9941103,0.000011748681,0.00008768666,0.00008161845,0.00043624348,0.0027480947,0.00018453391,0.00096489146,0.0013473033,0.000011933935],"about_ca_topic_score_codex":0.07193241,"about_ca_topic_score_gemma":0.07064293,"teacher_disagreement_score":0.07193241,"about_ca_system_score_codex":0.0008853298,"about_ca_system_score_gemma":0.00086237397,"threshold_uncertainty_score":0.14302742},"labels":[],"label_agreement":null},{"id":"W3127289411","doi":"10.5430/rwe.v12n1p314","title":"Central Place Theory and the Emergence of Floating Markets in the Mekong Delta of Vietnam","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"China's Socioeconomic Reforms 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":"Mekong delta; Transaction cost; Floating population; Business; Hierarchy; Database transaction; Population; Economics; Microeconomics; Water resource management; Market economy; Computer science; Environmental science; Sociology","score_opus":0.035389142069822056,"score_gpt":0.3591291287018365,"score_spread":0.3237399866320144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127289411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89984083,0.0011089387,0.005136993,0.0027911344,0.00003951907,0.000029703495,0.00006707243,0.00000631909,0.0909795],"genre_scores_gemma":[0.998359,0.00010338765,0.00024180282,0.000017784088,0.0000023864204,0.0000036728354,0.0000061382257,8.186197e-7,0.0012650383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9996917,0.00010035152,0.000009051097,0.00004965577,0.000035385656,0.00011379887],"domain_scores_gemma":[0.99935263,0.00018558558,0.00014921979,0.000035746318,0.0000952182,0.00018156887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007648268,0.00010577548,0.00014453179,0.00080662686,0.001921912,0.0022639956,0.00045329807,0.00031197688,0.003103846],"category_scores_gemma":[0.0011343565,0.00013185362,0.00013372366,0.00086663273,0.005594963,0.0021676992,0.0014834392,0.0005868123,0.000077675686],"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":[0.000049159127,0.000043767675,0.035843212,0.00006254476,0.000013824087,0.0010774797,0.028120335,0.0015092454,0.00031080787,0.91575134,0.0010516519,0.016166661],"study_design_scores_gemma":[0.000099154146,0.00013770076,0.12168588,0.00035510614,0.00003962897,0.0008767994,0.13528444,0.017205851,0.00079121935,0.6346968,0.08877216,0.000055374327],"about_ca_topic_score_codex":0.03924515,"about_ca_topic_score_gemma":0.054325655,"teacher_disagreement_score":0.03924515,"about_ca_system_score_codex":0.0052980636,"about_ca_system_score_gemma":0.003480188,"threshold_uncertainty_score":0.07803345},"labels":[],"label_agreement":null},{"id":"W3127517523","doi":"10.5430/rwe.v12n1p340","title":"Firm Size and Financial Performance Among Listed Banks of Emerging Economies in Africa","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Cash flow; Operating cash flow; Business; Finance; Emerging markets; Cash; Cash flow forecasting; Value (mathematics); Regression analysis; Variables; Monetary economics; Financial system; Economics","score_opus":0.0459976647525936,"score_gpt":0.26053781550532196,"score_spread":0.21454015075272836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127517523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938345,0.000078192876,0.000009874929,0.00006865189,9.398217e-7,0.000001804374,0.000041014686,3.3451207e-7,0.00041562258],"genre_scores_gemma":[0.9997203,0.000078077326,0.000011413062,0.000010154202,0.000001373183,0.0000010980531,0.000029641536,2.0295964e-7,0.00014780316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981195,0.000046838606,0.000020285963,0.000023178038,0.000031545886,0.000066248846],"domain_scores_gemma":[0.997535,0.0004997294,0.0014318491,0.000042439115,0.0002167821,0.000274216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000476547,0.000107946886,0.00011501044,0.0007353682,0.0003875053,0.00069165253,0.00012637019,0.00016684485,0.002041108],"category_scores_gemma":[0.002320919,0.00008726151,0.00009235911,0.00074189465,0.00032424196,0.00059263455,0.00039230252,0.00025082254,0.00015322774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026604575,0.000028069579,0.99619484,0.000008566552,0.000008959503,0.00022343312,0.000715475,0.00006576977,0.00018484362,0.0001644201,0.00014100056,0.0022380129],"study_design_scores_gemma":[0.0000015577609,0.000026141444,0.9968104,0.000021282782,0.000006054553,0.00013624119,0.0024320167,0.00011884254,0.00007209394,0.000033308846,0.00033959502,0.0000023175976],"about_ca_topic_score_codex":0.010449374,"about_ca_topic_score_gemma":0.02294525,"teacher_disagreement_score":0.010449374,"about_ca_system_score_codex":0.00046897,"about_ca_system_score_gemma":0.0003418998,"threshold_uncertainty_score":0.020777106},"labels":[],"label_agreement":null},{"id":"W3128777825","doi":"10.5430/rwe.v12n2p211","title":"Impact of Profit Tax on Employment in the Private Non-agricultural Sector in Albania","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic Analysis and Policy","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; Agriculture; Profit (economics); Private sector; Labour economics; Demographic economics; Economic growth","score_opus":0.11986663658967837,"score_gpt":0.3593865601796584,"score_spread":0.23951992358998003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128777825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963007,0.00029672755,0.000039359846,0.0004711912,0.000015025916,0.0000027135848,0.00012395045,0.000006217384,0.0027440079],"genre_scores_gemma":[0.9984863,0.000181043,0.00001572928,0.000028635792,0.00001669749,0.0000015709229,0.00009709238,0.0000026375308,0.0011702444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996408,0.00007164154,0.00001799814,0.000034271405,0.000080933445,0.00015428773],"domain_scores_gemma":[0.9991229,0.00016992797,0.00035961196,0.000039403792,0.00016266882,0.000145497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037000034,0.00009281459,0.00019531326,0.0005586719,0.00034227615,0.0010823807,0.0001886276,0.00019490549,0.0027351829],"category_scores_gemma":[0.0018614774,0.000051627,0.0001767684,0.0006041373,0.0003613342,0.0003975696,0.0005332367,0.00046060127,0.00040629064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007721888,0.00037476822,0.9211337,0.00014215797,0.00012378313,0.0022731286,0.0013422439,0.007978896,0.0035417737,0.0050288825,0.005308067,0.05198031],"study_design_scores_gemma":[0.000012831765,0.00009290178,0.9883989,0.000030218225,0.000025249286,0.00016498475,0.0024962027,0.0034877793,0.0006916936,0.00051662594,0.0040741735,0.000008345784],"about_ca_topic_score_codex":0.029979218,"about_ca_topic_score_gemma":0.02458687,"teacher_disagreement_score":0.029979218,"about_ca_system_score_codex":0.0016308406,"about_ca_system_score_gemma":0.0008095271,"threshold_uncertainty_score":0.059609473},"labels":[],"label_agreement":null},{"id":"W3130725034","doi":"10.5430/rwe.v12n1p351","title":"Fiscal and Monetary Policy for Decent Employment in Nigeria","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Unemployment 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":"Covenant University Centre for Research, Innovation and Discovery; Covenant University","keywords":"Economics; Unemployment; Nexus (standard); Distributed lag; Monetary policy; Fiscal policy; Inflation (cosmology); Government expenditure; Full employment; Recession; Macroeconomics; Monetary economics; Currency; Real gross domestic product; Capital (architecture); Public finance","score_opus":0.10278248396108304,"score_gpt":0.32920385242412564,"score_spread":0.22642136846304262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130725034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91199255,0.013710553,0.00045581357,0.024802687,0.00042458833,0.000029046909,0.00019775023,0.000016502263,0.048370466],"genre_scores_gemma":[0.9938816,0.00313085,0.00016334034,0.00044414843,0.000047393296,0.0000062335257,0.000027846287,0.0000026534885,0.0022958666],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998266,0.00005608555,0.000015086284,0.0000128019765,0.000021999791,0.00006736193],"domain_scores_gemma":[0.9994784,0.00014990344,0.00019540449,0.000008246002,0.00006572126,0.00010232035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061058474,0.000094708485,0.00014751965,0.00035293135,0.0009301831,0.0024434158,0.0001225586,0.0008648917,0.0028364798],"category_scores_gemma":[0.0016720885,0.0001175958,0.00013274845,0.00025238807,0.00036921387,0.0006623401,0.00050842686,0.00079895026,0.00019619835],"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":[0.002100481,0.00095009175,0.39209986,0.0020197257,0.00012910197,0.0095173,0.0070478017,0.018220793,0.007059715,0.38788763,0.03187372,0.1410938],"study_design_scores_gemma":[0.00042235618,0.00060421485,0.69815475,0.0064663705,0.00031523773,0.0020477201,0.036084738,0.027235217,0.0033866228,0.09499212,0.13016616,0.0001245172],"about_ca_topic_score_codex":0.012396843,"about_ca_topic_score_gemma":0.02156839,"teacher_disagreement_score":0.012396843,"about_ca_system_score_codex":0.0015974074,"about_ca_system_score_gemma":0.0035177777,"threshold_uncertainty_score":0.024649382},"labels":[],"label_agreement":null},{"id":"W3130791164","doi":"10.5430/rwe.v12n2p248","title":"Comparative Analysis of Agriculture Policies for Tobacco Planting and Processing, and the Correlation With the Illicit Production and Trade of Tobacco Products in Countries of the Western Balkans","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agricultural risk and resilience","field":"Agricultural and Biological 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":"Montenegro; Enforcement; Business; Cultivation of tobacco; Agriculture; Distribution (mathematics); Production (economics); Law enforcement; Geography; Political science; Economics; Law","score_opus":0.03697068981849435,"score_gpt":0.28664256305563424,"score_spread":0.24967187323713988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130791164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667346,0.000554774,0.000021145652,0.00009416895,0.0000025144498,0.0000057741495,0.000100316145,0.0000012828905,0.0025466094],"genre_scores_gemma":[0.9992287,0.000347861,0.000021309585,0.00002096723,0.0000026258238,0.000004621509,0.00011837717,6.661288e-7,0.0002547547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993722,0.0002267507,0.00004559059,0.00006335503,0.000089929024,0.00020217038],"domain_scores_gemma":[0.9972785,0.0008610032,0.001276879,0.0000814663,0.0002745992,0.00022757456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000711491,0.00011039485,0.00017498677,0.0013930531,0.0005453068,0.0013625318,0.00024389863,0.0003113906,0.0018928277],"category_scores_gemma":[0.002248704,0.000112853,0.00021941925,0.002519161,0.00096326834,0.00045636683,0.00076658715,0.00034843181,0.000112654525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120969475,0.00012201072,0.9822519,0.000115811396,0.000115887524,0.0005874465,0.0030045696,0.001105206,0.0006817014,0.0036766338,0.0003755465,0.007842209],"study_design_scores_gemma":[0.0000019526058,0.000021585227,0.9952253,0.000027659475,0.000013351047,0.000035753146,0.003494877,0.00010168838,0.00004045837,0.00005703124,0.0009777024,0.0000026042826],"about_ca_topic_score_codex":0.045570575,"about_ca_topic_score_gemma":0.078119844,"teacher_disagreement_score":0.045570575,"about_ca_system_score_codex":0.0018386284,"about_ca_system_score_gemma":0.0015495317,"threshold_uncertainty_score":0.09061068},"labels":[],"label_agreement":null},{"id":"W3131390651","doi":"10.5430/rwe.v12n2p240","title":"Human Fear of COVID-19: Social Protection Over Self Interest","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Terrorism, Counterterrorism, and Political Violence","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":"Empathy; Pandemic; Context (archaeology); Originality; Globalization; Social psychology; Perception; Psychology; Sociology; Coronavirus disease 2019 (COVID-19); Political science; Law; History","score_opus":0.21989050367339205,"score_gpt":0.4739402461818308,"score_spread":0.2540497425084387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131390651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4807427,0.010205954,0.0345227,0.09569583,0.0013845941,0.00006719034,0.00009105959,0.00009268421,0.37719733],"genre_scores_gemma":[0.99258053,0.00092212425,0.00067549996,0.00245816,0.00013472096,0.000012828288,0.00000986717,0.000010461839,0.0031957226],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99765044,0.0014909903,0.000044227247,0.00016339624,0.00038228274,0.00026865824],"domain_scores_gemma":[0.9972836,0.0014403414,0.0005584708,0.00018682808,0.00026131078,0.00026944274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023102774,0.00034526028,0.00028450682,0.0005081652,0.0027974078,0.0052222083,0.0004824621,0.0021465407,0.0027198857],"category_scores_gemma":[0.0038575248,0.00013864195,0.0004037759,0.00033460796,0.020009711,0.0034084565,0.0037679274,0.0037410655,0.0002515705],"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":[0.00011392054,0.0000838988,0.011056227,0.00029166887,0.000055792683,0.0009785978,0.32130864,0.0007203441,0.0036751989,0.6242797,0.007954442,0.029481618],"study_design_scores_gemma":[0.000028958546,0.00036752183,0.02420214,0.0008400213,0.0000721222,0.0034086835,0.36352143,0.0016126331,0.0027403182,0.3843907,0.21864164,0.0001737952],"about_ca_topic_score_codex":0.0014783469,"about_ca_topic_score_gemma":0.0011134344,"teacher_disagreement_score":0.0052222083,"about_ca_system_score_codex":0.0018091877,"about_ca_system_score_gemma":0.0013232549,"threshold_uncertainty_score":0.013126671},"labels":[],"label_agreement":null},{"id":"W3133395297","doi":"10.5430/rwe.v12n1p364","title":"The Behavior of Online Consumer Opinions Case Tunisian Communities","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Qualitative research; Population; Exploratory research; Public relations; Context (archaeology); Online community; Marketing; Psychology; Sociology; Business; Advertising; Internet privacy; Political science; Computer science; World Wide Web; Geography","score_opus":0.18029056149925965,"score_gpt":0.45478837824662777,"score_spread":0.2744978167473681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133395297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99815613,0.000045474662,0.00003698517,0.000089973655,0.0000023690075,0.000012606657,0.000021128088,0.000001220666,0.0016341228],"genre_scores_gemma":[0.99865854,0.000059821323,0.00009073882,0.00003304028,0.0000044271455,0.000013996622,0.000021756267,0.0000010955727,0.0011165228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992483,0.00037028553,0.000031225103,0.00008361214,0.00014273166,0.00012380167],"domain_scores_gemma":[0.998106,0.00072057487,0.00047304883,0.00007324966,0.00042373687,0.00020339368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011721106,0.00016259232,0.0001507513,0.00095924496,0.0017838352,0.0015540783,0.00023946828,0.00058090617,0.0024134319],"category_scores_gemma":[0.003515049,0.00012785693,0.00015305047,0.0006046881,0.0006054349,0.0009508473,0.0007163727,0.00040639774,0.0002125164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003983308,0.00049253396,0.504181,0.00022186669,0.000040052048,0.0028167174,0.43050778,0.00013572571,0.0057190387,0.0013497407,0.001530489,0.0526067],"study_design_scores_gemma":[0.00001336195,0.00032407296,0.4921097,0.000098554585,0.000031361484,0.0010604077,0.4890989,0.0013025935,0.0015237097,0.0003453638,0.014049686,0.00004222021],"about_ca_topic_score_codex":0.012425704,"about_ca_topic_score_gemma":0.018282807,"teacher_disagreement_score":0.012425704,"about_ca_system_score_codex":0.0013634248,"about_ca_system_score_gemma":0.00056400156,"threshold_uncertainty_score":0.024706721},"labels":[],"label_agreement":null},{"id":"W3134163359","doi":"10.5430/rwe.v12n1p394","title":"The Impact of Liquidity and Leverage on Profitability in Industrial Sector in Jordan","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Working Capital and Financial Performance","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":"Capital structure; Market liquidity; Stock exchange; Profitability index; Leverage (statistics); Business; Debt ratio; Debt; Debt-to-capital ratio; Finance; Financial system; Equity (law); Return on equity; Equity ratio","score_opus":0.12238657465593256,"score_gpt":0.33311044527058264,"score_spread":0.2107238706146501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134163359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992312,0.00012379933,0.0000106293,0.000052502535,7.616268e-7,0.0000012824739,0.000048457357,8.273793e-7,0.0005305423],"genre_scores_gemma":[0.99967647,0.00007795814,0.000010723544,0.0000060675334,0.0000044280373,0.0000011004506,0.0000596324,4.3209573e-7,0.00016324302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996018,0.00013247835,0.0000382486,0.000038031376,0.00008008275,0.00010939857],"domain_scores_gemma":[0.99685967,0.0008073715,0.0014664999,0.00005397218,0.00043378395,0.00037874913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075582654,0.0001176493,0.00014777166,0.00094141735,0.00027319943,0.0010448846,0.00024288293,0.00024171743,0.0013906381],"category_scores_gemma":[0.0025044908,0.00007449106,0.00016267481,0.0011672048,0.0003435421,0.00047732008,0.00054460554,0.00028832868,0.00025401372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007183791,0.00006851828,0.9929142,0.000015079874,0.000021304053,0.00031932667,0.0005505255,0.0005524288,0.00018854313,0.00016890003,0.000218305,0.004911017],"study_design_scores_gemma":[0.0000030348665,0.000096921474,0.9963961,0.00001355497,0.000009958292,0.000108854685,0.0020470333,0.00068903895,0.00014684042,0.00009354955,0.0003909107,0.000004123244],"about_ca_topic_score_codex":0.0064377487,"about_ca_topic_score_gemma":0.009783595,"teacher_disagreement_score":0.0064377487,"about_ca_system_score_codex":0.00080211525,"about_ca_system_score_gemma":0.00066027784,"threshold_uncertainty_score":0.012800574},"labels":[],"label_agreement":null},{"id":"W3134168455","doi":"10.5430/rwe.v12n2p273","title":"Impact of FDI and Electricity on the Economic Growth of Pakistan: A Long Run Cointegration and Causality Analysis","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, 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":"Cointegration; Economics; Causality (physics); Foreign direct investment; Short run; Consumption (sociology); Econometrics; Macroeconomics; Electricity; Granger causality; Investment (military); Monetary economics; Engineering","score_opus":0.054081006048444416,"score_gpt":0.320007692321394,"score_spread":0.2659266862729496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134168455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890482,0.0009830663,0.0017566382,0.000635951,0.000029813915,0.00002105425,0.0005455704,0.000016389453,0.0069633396],"genre_scores_gemma":[0.9975331,0.0008385018,0.00024385158,0.000019126508,0.000015991256,0.0000057582743,0.00034279685,0.0000013068827,0.0009996066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997019,0.00006943234,0.000026471123,0.000042471234,0.00006703728,0.00009256687],"domain_scores_gemma":[0.9988036,0.0005942242,0.00025606924,0.00003258468,0.0002500558,0.000063428015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057758944,0.00023233499,0.00024189427,0.0012291975,0.00038904286,0.00089110766,0.000116326715,0.00026255954,0.002894066],"category_scores_gemma":[0.0014697745,0.00012105968,0.00048243796,0.0015502889,0.0003526102,0.00071809714,0.0004988251,0.0006847385,0.00021700021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015484555,0.0001718993,0.9160431,0.00013877141,0.0002289962,0.0023027735,0.0006336715,0.024436468,0.0006963914,0.012626922,0.0017174602,0.040848646],"study_design_scores_gemma":[0.000035612098,0.00037866534,0.8770981,0.00020925103,0.00055860094,0.000617522,0.0031942823,0.09928903,0.0021525042,0.007588833,0.008818792,0.000058878715],"about_ca_topic_score_codex":0.032859966,"about_ca_topic_score_gemma":0.020788424,"teacher_disagreement_score":0.032859966,"about_ca_system_score_codex":0.000870192,"about_ca_system_score_gemma":0.001622841,"threshold_uncertainty_score":0.06533742},"labels":[],"label_agreement":null},{"id":"W3135484962","doi":"10.5430/rwe.v12n2p258","title":"The Successes and Challenges of Kenya’s Mombasa-Nairobi Standard Gauge Railway Transport Operations: A Special Reference to the Users","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Transport and Economic Policies","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":"Last mile (transportation); Transport engineering; Mile; Mode of transport; Passenger transport; Population; Business; Unit (ring theory); Public transport; Engineering; Geography","score_opus":0.09044090485725005,"score_gpt":0.30469078018877577,"score_spread":0.21424987533152573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135484962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814454,0.0006272201,0.00019370705,0.0028271405,0.000031073538,0.000028477856,0.000050810082,0.000006677404,0.014789358],"genre_scores_gemma":[0.9946115,0.000998624,0.00019172768,0.0002456567,0.000006673904,0.000019057294,0.00003431232,0.000008644658,0.0038838987],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9977356,0.00068119506,0.00010428403,0.0001608809,0.00041224368,0.00090576883],"domain_scores_gemma":[0.9985044,0.00037675447,0.00031694895,0.00007416913,0.00029109567,0.0004365742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021309159,0.00031358356,0.00022459362,0.0006540633,0.00888238,0.0045585386,0.00080403534,0.0012655961,0.0035165863],"category_scores_gemma":[0.0034378034,0.0003943652,0.00016284056,0.0018191551,0.0032230986,0.003703032,0.003347554,0.0011308705,0.0005296983],"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":[0.000105400475,0.00013751193,0.25008032,0.00050102576,0.000032173975,0.0069546215,0.65366316,0.0002704467,0.0034287586,0.013020968,0.008136284,0.06366934],"study_design_scores_gemma":[0.0000034691277,0.000088266366,0.08727688,0.00027841778,0.000013698989,0.0008001985,0.85131246,0.00018484237,0.00047270936,0.0003430265,0.059186272,0.00003977035],"about_ca_topic_score_codex":0.12582196,"about_ca_topic_score_gemma":0.24797352,"teacher_disagreement_score":0.12582196,"about_ca_system_score_codex":0.003722071,"about_ca_system_score_gemma":0.0064614564,"threshold_uncertainty_score":0.25017917},"labels":[],"label_agreement":null},{"id":"W3135505682","doi":"10.5430/rwe.v12n2p289","title":"The Causality Relationships Between the Kingdom of Saudi Arabia’s (KSA) Military Expenditure and Economic Growth in the Period From 1987 to 2019","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Granger causality; Economics; Causality (physics); Gross domestic product; Econometrics; Gross fixed capital formation; Real gross domestic product; Time series; Macroeconomics; Monetary economics; Mathematics; Statistics","score_opus":0.15606205587383487,"score_gpt":0.33912748803439885,"score_spread":0.18306543216056398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135505682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995684,0.0004165939,0.000102626305,0.00040961517,0.000016517535,0.0000048132947,0.001280981,0.0000039785136,0.002080885],"genre_scores_gemma":[0.9972963,0.00051655446,0.00006975561,0.0000226979,0.000013077487,0.000003476768,0.0014474016,0.0000010960113,0.00062974874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977916,0.00003344646,0.000034015506,0.000030964144,0.00005307867,0.0000694803],"domain_scores_gemma":[0.9977314,0.00047268145,0.0010483712,0.000055092434,0.0005327029,0.00015981054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045404898,0.00020913918,0.00014844247,0.0012446856,0.00021003145,0.0009951773,0.00013467803,0.00020116675,0.0013857017],"category_scores_gemma":[0.0020374167,0.00007772518,0.00022990882,0.0018175192,0.00025424582,0.0004809888,0.00050148944,0.00048461987,0.0002819959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008471488,0.000026617929,0.9883068,0.000058848465,0.00007014362,0.0002372808,0.00036968818,0.00096083933,0.00022280352,0.0011741717,0.0007882786,0.007699708],"study_design_scores_gemma":[0.0000028414736,0.00002765153,0.9939958,0.000039995626,0.000032102715,0.00008230036,0.0013839828,0.0014088978,0.00025793447,0.00012202696,0.0026401412,0.0000062628214],"about_ca_topic_score_codex":0.050113272,"about_ca_topic_score_gemma":0.046236984,"teacher_disagreement_score":0.050113272,"about_ca_system_score_codex":0.001024057,"about_ca_system_score_gemma":0.0011435171,"threshold_uncertainty_score":0.09964311},"labels":[],"label_agreement":null},{"id":"W3135684837","doi":"10.5430/rwe.v12n1p379","title":"COVID-19’s Impact on the International Political Economy of Food Security in Sub-Saharan Africa","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","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":"Food security; Politics; Food systems; Corporate governance; Political science; Political economy; Sociology; Economics; Economic system; Economic growth; Agriculture","score_opus":0.4018643140795235,"score_gpt":0.5418933415337694,"score_spread":0.14002902745424595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135684837","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":[0.2509706,0.014422249,0.00083191815,0.03545611,0.0007305721,0.000043636075,0.00022710986,0.000017097524,0.69730073],"genre_scores_gemma":[0.97250295,0.0041846773,0.0003907378,0.001500831,0.00013351016,0.00004253228,0.000084696854,0.000027405858,0.021132668],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99857414,0.00055774703,0.000028190687,0.00008133755,0.00013330474,0.0006251971],"domain_scores_gemma":[0.99892944,0.00048792784,0.0001819011,0.000052084135,0.00012165822,0.00022683838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025278304,0.00029518612,0.00022330477,0.0011540228,0.004829566,0.006132864,0.0003959381,0.0010098774,0.011821645],"category_scores_gemma":[0.0035116903,0.00016244355,0.00017855251,0.0024279892,0.0045196614,0.0017473083,0.005032304,0.0015953515,0.00038031663],"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":[0.00012282982,0.000035325123,0.0074411086,0.0002120573,0.000014777036,0.0014441476,0.03193788,0.00046914394,0.00080355845,0.89455175,0.017692046,0.045275472],"study_design_scores_gemma":[0.00002506123,0.00005519323,0.024372172,0.00059383665,0.000015101832,0.0003678116,0.03992544,0.00045689475,0.00060980796,0.050962362,0.88259476,0.00002146921],"about_ca_topic_score_codex":0.01653334,"about_ca_topic_score_gemma":0.018162798,"teacher_disagreement_score":0.01653334,"about_ca_system_score_codex":0.006854225,"about_ca_system_score_gemma":0.0034314247,"threshold_uncertainty_score":0.049731076},"labels":[],"label_agreement":null},{"id":"W3140575349","doi":"10.5430/rwe.v12n2p302","title":"The Impact of Brand Equity of Global Pharmaceutical Companies on Prescriptions Decisions of Physicians in Jordan: The Moderating Role the Performance of Medical Representatives","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Organizational Leadership and Management Strategies","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":"Brand equity; Brand loyalty; Medical prescription; Business; Equity (law); Marketing; Sample (material); Pharmaceutical industry; Loyalty; Population; Quality (philosophy); Advertising; Medicine; Environmental health; Nursing; Political science; Pharmacology","score_opus":0.1397593218991544,"score_gpt":0.43022057871620795,"score_spread":0.29046125681705354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140575349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984244,0.00009403976,0.00002562486,0.0003108598,0.0000028823513,0.0000039082765,0.000012296455,5.074617e-7,0.0011254844],"genre_scores_gemma":[0.99960476,0.000042404343,0.00003188919,0.00006500836,0.000005058915,0.0000014660229,0.000007895463,3.6703705e-7,0.000241128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838424,0.0008213975,0.0000789838,0.00012466608,0.00030350522,0.00028715984],"domain_scores_gemma":[0.9898774,0.0042637982,0.003330486,0.0001963371,0.0007192714,0.0016127295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019111243,0.00012798292,0.00014500762,0.00039050184,0.0005414769,0.0013624539,0.00018202142,0.00039563913,0.0033854626],"category_scores_gemma":[0.006723747,0.00010615804,0.00021264229,0.00036256053,0.00048094802,0.00045823056,0.0006263846,0.0006050112,0.00016506293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017884844,0.00031269187,0.98359674,0.000024434832,0.00004313175,0.00010543206,0.0022382136,0.00010422371,0.00024757392,0.00029334598,0.00018738615,0.012667881],"study_design_scores_gemma":[0.000013236454,0.00021759684,0.98995763,0.000031209747,0.000034773417,0.00006631735,0.0077036927,0.00047624478,0.0003040102,0.00022224667,0.0009655097,0.0000074901955],"about_ca_topic_score_codex":0.0062798695,"about_ca_topic_score_gemma":0.013340868,"teacher_disagreement_score":0.0062798695,"about_ca_system_score_codex":0.0009685207,"about_ca_system_score_gemma":0.0016103904,"threshold_uncertainty_score":0.012486577},"labels":[],"label_agreement":null},{"id":"W3148541718","doi":"10.5430/rwe.v12n3p1","title":"Economic and Financial Consequences of Pandemics","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Pandemic; Economics; Inflation (cosmology); Boom; Broad money; Monetary economics; Finance; Monetary policy; Macroeconomics; Coronavirus disease 2019 (COVID-19)","score_opus":0.1388532205955708,"score_gpt":0.3577030808819353,"score_spread":0.21884986028636452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148541718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85147685,0.017367547,0.0020101224,0.019312842,0.00078853144,0.000048848466,0.003873947,0.000043339376,0.10507801],"genre_scores_gemma":[0.9899206,0.0055041336,0.0001935045,0.00062415254,0.00027050704,0.0000091685,0.000579406,0.0000072419252,0.0028912933],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955434,0.00009967212,0.00002641144,0.000037775462,0.00011000791,0.00017173121],"domain_scores_gemma":[0.99829966,0.0004140913,0.00067374,0.00004289253,0.00030262317,0.0002670821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006942648,0.0002343473,0.00016547833,0.000898684,0.0005586913,0.0016232105,0.00020297921,0.0008493792,0.005104093],"category_scores_gemma":[0.0045166267,0.00010463973,0.0002965265,0.0010676088,0.00081696577,0.0014435688,0.0011436173,0.0012006166,0.000349216],"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":[0.00083299994,0.00043116728,0.66606325,0.0006993612,0.0004608234,0.00521035,0.0017039778,0.05266361,0.003162255,0.11192626,0.03372819,0.123117924],"study_design_scores_gemma":[0.000022946217,0.0003806148,0.8825242,0.00043161074,0.000108979664,0.0015079025,0.0059042512,0.0075738668,0.0007775434,0.038196485,0.06245459,0.00011704272],"about_ca_topic_score_codex":0.008966468,"about_ca_topic_score_gemma":0.009102423,"teacher_disagreement_score":0.008966468,"about_ca_system_score_codex":0.0013103037,"about_ca_system_score_gemma":0.0007112093,"threshold_uncertainty_score":0.017828584},"labels":[],"label_agreement":null},{"id":"W3148656468","doi":"10.5430/rwe.v12n1p406","title":"Islamic Finance and Its Role in Funding Small Enterprises in Jordan","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Islam; Sample (material); Islamic finance; Business; Descriptive statistics; Descriptive research; Perspective (graphical); Accounting; Finance; Geography","score_opus":0.05031878319021989,"score_gpt":0.2920816922608482,"score_spread":0.2417629090706283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148656468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96619064,0.0013987651,0.0001661413,0.00418328,0.00002064465,0.00001654747,0.0000149281805,0.0000040707437,0.028005095],"genre_scores_gemma":[0.99790454,0.00044863127,0.00006420058,0.00009660645,0.000012979793,0.0000030244857,0.000004310381,5.931221e-7,0.0014650831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897397,0.000521195,0.000030025654,0.000036696747,0.00020701587,0.00023123798],"domain_scores_gemma":[0.9950895,0.0011028756,0.0014268685,0.000095005336,0.000767389,0.0015184236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017273248,0.0000721492,0.00009519579,0.00074842054,0.0013577628,0.0030024182,0.00024082627,0.00041378484,0.0029468618],"category_scores_gemma":[0.0041605425,0.00006465185,0.00005256814,0.0008445551,0.0016220965,0.0011063126,0.001258872,0.0005651515,0.00015036999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022389666,0.00065650645,0.593076,0.00027762505,0.00003756236,0.0023093154,0.046951693,0.0009064538,0.0013782709,0.12759581,0.0094222585,0.21716462],"study_design_scores_gemma":[0.00006546605,0.0003571246,0.6795808,0.00087993016,0.000029405322,0.0012665866,0.14510033,0.0021757255,0.00078445347,0.0180862,0.15162434,0.000049715487],"about_ca_topic_score_codex":0.0035609724,"about_ca_topic_score_gemma":0.0068586054,"teacher_disagreement_score":0.0035609724,"about_ca_system_score_codex":0.0018601057,"about_ca_system_score_gemma":0.0043957327,"threshold_uncertainty_score":0.013496101},"labels":[],"label_agreement":null},{"id":"W3155695591","doi":"10.5430/rwe.v12n2p334","title":"Corporate Social Responsibility Disclosure and Cost of Equity of ASEAN-5 Public Companies","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Cost of equity; Nonprobability sampling; Equity ratio; Business; Leverage (statistics); Corporate social responsibility; Equity (law); Regression analysis; Equity risk; Return on equity; Equity capital markets; Population; Accounting; Economics; Cost of capital; Finance; Microeconomics; Public relations","score_opus":0.2466923680905125,"score_gpt":0.36412212945636385,"score_spread":0.11742976136585134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155695591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99831223,0.00010704585,0.00002970003,0.00009497477,0.0000013832313,0.0000019845227,0.000046872257,9.83322e-7,0.0014049271],"genre_scores_gemma":[0.9997446,0.000039901526,0.00001206973,0.0000046827745,0.0000026516154,0.0000010368952,0.000037278813,2.0931812e-7,0.0001575231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918896,0.00023312954,0.000053083215,0.000050046776,0.0003466713,0.00012817656],"domain_scores_gemma":[0.98834085,0.0028256157,0.007193908,0.00032705118,0.00078691315,0.00052565767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009831922,0.00013319108,0.00013673054,0.0008275798,0.00038452496,0.0011005973,0.0001746807,0.00020847321,0.0015774424],"category_scores_gemma":[0.0048681935,0.000056066525,0.00014560507,0.00094319996,0.00037320418,0.0006439163,0.00057473767,0.00039002174,0.000090561996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048552527,0.00014799868,0.987934,0.000014818392,0.000038971477,0.00020135885,0.0006050801,0.00041767268,0.00021769198,0.0006104571,0.0002640786,0.009499237],"study_design_scores_gemma":[0.0000012323959,0.000043310585,0.99757105,0.0000080920645,0.0000108479135,0.00009973482,0.0009054812,0.0005815284,0.000113699316,0.00016269894,0.00049781124,0.0000044947637],"about_ca_topic_score_codex":0.008141842,"about_ca_topic_score_gemma":0.012585381,"teacher_disagreement_score":0.008141842,"about_ca_system_score_codex":0.0010267989,"about_ca_system_score_gemma":0.00059780525,"threshold_uncertainty_score":0.01618892},"labels":[],"label_agreement":null},{"id":"W3155857104","doi":"10.5430/rwe.v12n2p320","title":"The Relationship Between Education Outputs, Education Expenditure, and Economic Growth in Saudi Arabia","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Distributed lag; Economics; Per capita; Public expenditure; Gross domestic product; Demographic economics; Real gross domestic product; Autoregressive model; Econometrics; Development economics; Macroeconomics; Demography; Public finance","score_opus":0.12294162813652061,"score_gpt":0.34352557709125353,"score_spread":0.22058394895473293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155857104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982493,0.00040466295,0.000053794676,0.00023350389,0.000004182418,0.0000014764114,0.00029165365,0.0000016087992,0.0007597767],"genre_scores_gemma":[0.9987966,0.00036621979,0.000041946896,0.000011490184,0.000007685236,0.0000010249843,0.0003501437,6.7614366e-7,0.00042407858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998597,0.000027053202,0.000020856405,0.000017077446,0.000029101759,0.000046166653],"domain_scores_gemma":[0.9983165,0.000327964,0.00073271716,0.00003485109,0.00038374998,0.00020415394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042062232,0.00017245921,0.000116108735,0.0008326212,0.00016121387,0.00087451976,0.00013095049,0.00016768902,0.00094209163],"category_scores_gemma":[0.0015381727,0.000071423376,0.00020877895,0.0010630565,0.00017805351,0.00040990082,0.00045899997,0.00040053128,0.00015702637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005141717,0.000022580993,0.99284315,0.000027389166,0.00004278941,0.00012933969,0.00021988207,0.00078434125,0.00014636538,0.00044898954,0.00022597161,0.0050578136],"study_design_scores_gemma":[0.0000016231867,0.000019564428,0.9967907,0.000019830002,0.000018031298,0.000057093333,0.0006780794,0.0011707617,0.00012887623,0.0000699064,0.0010424579,0.0000031323718],"about_ca_topic_score_codex":0.044785656,"about_ca_topic_score_gemma":0.03944011,"teacher_disagreement_score":0.044785656,"about_ca_system_score_codex":0.00086830196,"about_ca_system_score_gemma":0.00065157615,"threshold_uncertainty_score":0.089049935},"labels":[],"label_agreement":null},{"id":"W3157541775","doi":"10.5430/rwe.v12n3p7","title":"A Study of COVID-19 and Its Impact on Well Being of Society and Business","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Social distance; Government (linguistics); Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Order (exchange); Economic growth; China; Isolation (microbiology); Quarantine; Development economics; Economic impact analysis; Closure (psychology); Outbreak; Political science; Socioeconomics; Business; Geography; Economics; Law; Infectious disease (medical specialty); Medicine; Engineering; Virology; Finance; Disease","score_opus":0.14999819097659306,"score_gpt":0.400664698615303,"score_spread":0.25066650763870996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157541775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56958055,0.15846816,0.004272402,0.058159977,0.0010137474,0.00016488037,0.0005722762,0.000014563657,0.20775352],"genre_scores_gemma":[0.9202453,0.07010076,0.0008335757,0.001292492,0.0002656137,0.000062894804,0.000068703586,0.0000051589445,0.0071255527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9994824,0.0002507905,0.000022322996,0.00006425042,0.00010753098,0.00007264173],"domain_scores_gemma":[0.9987207,0.00066532934,0.0002496605,0.000023508193,0.00021601761,0.0001247897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008357251,0.00022804047,0.00020263618,0.0012730919,0.0010442397,0.0026562978,0.00022677964,0.000723827,0.004092209],"category_scores_gemma":[0.0016414039,0.00009130565,0.00034507172,0.0018246399,0.0013815634,0.0023723824,0.0008971961,0.00095067616,0.00021477221],"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":[0.00016586958,0.0006891021,0.14166024,0.0046347086,0.00021597707,0.0028623107,0.031614702,0.0029569352,0.0013487733,0.5601317,0.02838572,0.22533403],"study_design_scores_gemma":[0.00001750731,0.0010507142,0.38489452,0.0077945106,0.00031481363,0.0017088061,0.11836928,0.005028921,0.001142542,0.14720441,0.33235702,0.00011698077],"about_ca_topic_score_codex":0.006223911,"about_ca_topic_score_gemma":0.007699599,"teacher_disagreement_score":0.006223911,"about_ca_system_score_codex":0.0027169397,"about_ca_system_score_gemma":0.002308906,"threshold_uncertainty_score":0.019712925},"labels":[],"label_agreement":null},{"id":"W3157906023","doi":"10.5430/rwe.v12n3p32","title":"Effects of Covid-19 Pandemic in Personal and Family Savings in Albania","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Pandemic; Prosperity; Coronavirus disease 2019 (COVID-19); China; Family economy; Outbreak; Geography; Business; Economics; Demographic economics; Economy; Socioeconomics; Development economics; Economic growth; Market economy; Medicine","score_opus":0.12405874515707609,"score_gpt":0.36080778830383153,"score_spread":0.23674904314675543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157906023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986259,0.00018520125,0.000009417815,0.00030049437,0.000008845337,0.000008829847,0.0001193441,0.0000013514019,0.00074072334],"genre_scores_gemma":[0.9991891,0.00018460985,0.000022332071,0.00006208657,0.000011339858,0.000009006345,0.00012049151,8.481388e-7,0.000400175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963605,0.00012069874,0.00001646926,0.00003314234,0.000044693606,0.0001489203],"domain_scores_gemma":[0.9995732,0.00005421942,0.00012870021,0.000015992571,0.00007074,0.00015708551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034769365,0.00017689368,0.00021825497,0.00048382557,0.000814964,0.000626639,0.00023486852,0.0002423502,0.0018232715],"category_scores_gemma":[0.0011361138,0.00008338011,0.00024607443,0.00046002583,0.00047102143,0.00027352967,0.0010264198,0.00049647206,0.00017996535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045582862,0.00050227274,0.9564522,0.0001868728,0.00009465611,0.0050204266,0.009549702,0.00035587713,0.001395841,0.0003027667,0.0034839776,0.022199668],"study_design_scores_gemma":[0.000005310543,0.000097903154,0.98800987,0.000030453493,0.00001454683,0.00024472346,0.010359967,0.00013421419,0.000088311084,0.000044025466,0.0009648984,0.0000058923956],"about_ca_topic_score_codex":0.046550717,"about_ca_topic_score_gemma":0.0642295,"teacher_disagreement_score":0.046550717,"about_ca_system_score_codex":0.0013719611,"about_ca_system_score_gemma":0.0008337414,"threshold_uncertainty_score":0.09255952},"labels":[],"label_agreement":null},{"id":"W3158808675","doi":"10.5430/rwe.v12n3p18","title":"A Deeper Look Into Political Instability and Economic Growth: Case Study and Empirical Analysis on a Selection of Countries","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Political instability; Economics; Politics; Instability; Gross domestic product; Human capital; Economic stability; Gross fixed capital formation; Development economics; Macroeconomics; Economic growth; Political science","score_opus":0.09452148498808655,"score_gpt":0.3651543860822332,"score_spread":0.27063290109414667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158808675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99358094,0.00060060754,0.00041231862,0.0003044927,0.0000059876766,0.000026084548,0.00018416216,0.0000019879697,0.0048833336],"genre_scores_gemma":[0.997827,0.0009119562,0.0005221285,0.000049759692,0.000009425469,0.000024479934,0.00014854623,0.0000015076392,0.0005052291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989735,0.000705707,0.000042011663,0.000051486382,0.00006730791,0.00016002462],"domain_scores_gemma":[0.99740916,0.0018023785,0.00045848315,0.00008434102,0.00015143526,0.00009416829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011750865,0.00018302859,0.00025018485,0.0021002826,0.0012354238,0.0014404757,0.0002523012,0.0005875797,0.0012827188],"category_scores_gemma":[0.0024137523,0.000105545456,0.00034775335,0.0042272317,0.00079977675,0.0010540024,0.0007664911,0.0005032775,0.0001259041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028201428,0.0010406005,0.89600515,0.0003755734,0.00019210404,0.01961279,0.016117457,0.007992174,0.0011685289,0.022741856,0.003396986,0.03107483],"study_design_scores_gemma":[0.00006133056,0.0006358722,0.791511,0.00045444278,0.0001761656,0.0055709053,0.16131543,0.011229353,0.0018868692,0.0043687043,0.022710957,0.00007899897],"about_ca_topic_score_codex":0.0086661,"about_ca_topic_score_gemma":0.014389285,"teacher_disagreement_score":0.0086661,"about_ca_system_score_codex":0.0010425663,"about_ca_system_score_gemma":0.00049661455,"threshold_uncertainty_score":0.017231286},"labels":[],"label_agreement":null},{"id":"W3161962956","doi":"10.5430/rwe.v12n3p42","title":"Prioritization of Customer Service Quality Dimensions in Indian Cooperative Banks: RIDIT &amp; Grey Relational Approach","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Customer Service Quality and Loyalty","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":"Service quality; Ranking (information retrieval); Business; Service (business); Marketing; Population; Quality (philosophy); Prioritization; Operations management; Computer science; Process management; Economics; Sociology; Artificial intelligence","score_opus":0.15474733106186547,"score_gpt":0.3653634194669034,"score_spread":0.21061608840503795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161962956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89755344,0.00089653564,0.06334622,0.0020814685,0.0000407226,0.00039082978,0.00039965776,0.000093460985,0.035197645],"genre_scores_gemma":[0.99110806,0.00014658552,0.0078057996,0.000037819616,0.00000693515,0.00005389161,0.00007922151,0.000005344691,0.0007562282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974039,0.0010345727,0.00014484761,0.00024506674,0.0009362644,0.0002353406],"domain_scores_gemma":[0.99637836,0.002016035,0.00048072578,0.00010103504,0.0008315407,0.00019229039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020129909,0.00044476456,0.0004291755,0.006042439,0.0011076059,0.0034841131,0.000758652,0.00058278197,0.003620309],"category_scores_gemma":[0.0067382907,0.00020696188,0.00077165966,0.0055367607,0.0011219778,0.0019624038,0.0014120109,0.0010287459,0.00028683766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005047267,0.0007841231,0.35879925,0.001422733,0.0006154814,0.002298305,0.03239376,0.057594936,0.007546273,0.17353994,0.0071012303,0.35739934],"study_design_scores_gemma":[0.000047103862,0.00053609133,0.28984433,0.00056156015,0.0003727173,0.0010254316,0.07562525,0.53569,0.0034829134,0.07906449,0.013577264,0.0001727832],"about_ca_topic_score_codex":0.013710972,"about_ca_topic_score_gemma":0.011922463,"teacher_disagreement_score":0.013710972,"about_ca_system_score_codex":0.0041207774,"about_ca_system_score_gemma":0.0017394521,"threshold_uncertainty_score":0.029898524},"labels":[],"label_agreement":null},{"id":"W3162573952","doi":"10.5430/rwe.v12n3p53","title":"Mathematical Discussion on the Relationship Between SUTs and SIOTs","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Environmental Impact 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":"","keywords":"Computable general equilibrium; Computer science; Economics; Macroeconomics","score_opus":0.12984957298282887,"score_gpt":0.38069953187164796,"score_spread":0.2508499588888191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162573952","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":[0.023050645,0.006597119,0.58031243,0.015390083,0.0015552024,0.00014114768,0.002293962,0.000437217,0.3702222],"genre_scores_gemma":[0.6082072,0.014285281,0.22721744,0.0037755994,0.0026598515,0.0009275135,0.0019779294,0.00055450207,0.14039466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99873644,0.00043184945,0.00013817845,0.00026521974,0.00031113345,0.000117194606],"domain_scores_gemma":[0.9969612,0.0019573208,0.00045075853,0.00025359038,0.00030388095,0.000073217714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019741585,0.0008353999,0.0004994248,0.0021190422,0.001582846,0.0034014047,0.0011437671,0.0013724202,0.028926028],"category_scores_gemma":[0.007006668,0.0005395038,0.0023135683,0.0037034082,0.003632204,0.007078895,0.0017995953,0.0044942433,0.0034435487],"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":[0.0000020541079,0.000003554641,0.00016667291,0.000025566067,0.000003106243,0.00003541679,0.000058329468,0.00129312,0.00005812872,0.99467933,0.0012557612,0.0024188887],"study_design_scores_gemma":[0.0000050188432,0.000015125,0.0006487939,0.00007025883,0.0000119965425,0.00018383736,0.000107666376,0.010175388,0.00021995886,0.9271975,0.061346352,0.000018127786],"about_ca_topic_score_codex":0.004233201,"about_ca_topic_score_gemma":0.0026772986,"teacher_disagreement_score":0.028926028,"about_ca_system_score_codex":0.003182078,"about_ca_system_score_gemma":0.0012432679,"threshold_uncertainty_score":0.09676719},"labels":[],"label_agreement":null},{"id":"W3165849735","doi":"10.5430/rwe.v12n3p63","title":"The Determinant of Budget Fiscal Deficit of the Palestinian Authority and the Economic Factors Affecting It","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Deficit spending; Economics; Gross domestic product; Cointegration; Current account; Inflation (cosmology); Unemployment; Johansen test; Balance of payments; Balance of trade; Federal budget; Macroeconomics; Econometrics; Error correction model; Exchange rate; Fiscal year; Debt; Finance","score_opus":0.08590309201724844,"score_gpt":0.31562763388726234,"score_spread":0.2297245418700139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165849735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830103,0.001148559,0.00021455031,0.000985515,0.000029478042,0.000013242027,0.0004386554,0.0000048325546,0.014154712],"genre_scores_gemma":[0.9979547,0.0005596531,0.000095148964,0.000036472808,0.000025966994,0.000004792658,0.00022162855,0.0000018896588,0.0010997651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966204,0.00006261191,0.00003664698,0.000034268338,0.00006919425,0.0001351681],"domain_scores_gemma":[0.9990613,0.00015104172,0.000430236,0.00003164289,0.00017065639,0.0001552261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070739794,0.00020775985,0.00023392272,0.0013473647,0.000579131,0.0019093562,0.00018043321,0.00028995704,0.0047663157],"category_scores_gemma":[0.0028896553,0.00013079436,0.00013322613,0.0017948996,0.0005015762,0.0008280393,0.00078397425,0.00069252687,0.0003552418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015821034,0.00012122774,0.9542812,0.00016267411,0.000061216204,0.0008131964,0.0017182163,0.0015520976,0.0006413406,0.010587553,0.0016976998,0.02820532],"study_design_scores_gemma":[0.000016132231,0.00004339301,0.982711,0.0001838246,0.000029374034,0.00034092955,0.0048969826,0.0010382043,0.00023891093,0.002289943,0.008199506,0.000011598764],"about_ca_topic_score_codex":0.02008681,"about_ca_topic_score_gemma":0.022453535,"teacher_disagreement_score":0.02008681,"about_ca_system_score_codex":0.0013845684,"about_ca_system_score_gemma":0.0028225014,"threshold_uncertainty_score":0.03993982},"labels":[],"label_agreement":null},{"id":"W3174555601","doi":"10.5430/rwe.v12n3p97","title":"Monte Carlo Simulations as a Tool to Support Quantitative Value for Money Assessment of Public Private Partnership Project","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Public-Private Partnership Projects","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":"Value for money; Procurement; General partnership; Monte Carlo method; Value (mathematics); Government (linguistics); Public–private partnership; Computer science; Operations research; Economics; Business; Finance; Engineering; Public economics; Marketing; Mathematics; Statistics","score_opus":0.2995284644762049,"score_gpt":0.4646513306330654,"score_spread":0.1651228661568605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174555601","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":[0.12164769,0.00048816556,0.8423737,0.0011142261,0.00011828432,0.00034831505,0.00075898843,0.0028323226,0.030318236],"genre_scores_gemma":[0.8075923,0.0002930035,0.18924014,0.000087708955,0.000031831823,0.0004166443,0.00030637995,0.00011897968,0.0019130268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984629,0.00095842226,0.000091233895,0.00009886973,0.00030353523,0.00008499824],"domain_scores_gemma":[0.98771685,0.009777258,0.000679836,0.0005123447,0.0011081526,0.00020559688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003090751,0.00065126136,0.0006618892,0.0015729563,0.0006088939,0.0015342246,0.0009042701,0.0011006036,0.0037640939],"category_scores_gemma":[0.013975857,0.00045556948,0.00049855345,0.0015151326,0.0005351928,0.0011937546,0.0009533823,0.0010094797,0.0003496649],"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":[0.000058581474,0.000043704607,0.0022809757,0.000053265634,0.000025547772,0.00008947904,0.00011091363,0.9639645,0.00037250362,0.015074999,0.00085439207,0.017071154],"study_design_scores_gemma":[0.000009070874,0.000012728228,0.00021028746,0.00001683594,0.00000676291,0.000013632846,0.00002700609,0.9940158,0.00030394027,0.0041178945,0.001257627,0.000008360825],"about_ca_topic_score_codex":0.01398381,"about_ca_topic_score_gemma":0.009084278,"teacher_disagreement_score":0.01398381,"about_ca_system_score_codex":0.0011601344,"about_ca_system_score_gemma":0.0019284271,"threshold_uncertainty_score":0.027804852},"labels":[],"label_agreement":null},{"id":"W3175414718","doi":"10.5430/rwe.v12n3p88","title":"Analysis of Inter-Country Trade Flows Based on Input - Output Model Between Vietnam - EU - China and the United States","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"Balance of trade; China; Economics; Balance (ability); Value (mathematics); International trade; International economics; Geography","score_opus":0.10670985193308656,"score_gpt":0.29790193893500017,"score_spread":0.1911920870019136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175414718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95756537,0.0006074294,0.023385484,0.001204289,0.00009503127,0.00008971299,0.0018919279,0.00014444732,0.015016134],"genre_scores_gemma":[0.9922884,0.00028864446,0.0015174453,0.00004265919,0.000011462145,0.000036326226,0.0009324588,0.000019230038,0.004863365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996766,0.00014724296,0.000011330513,0.000054233515,0.00002706755,0.00008355118],"domain_scores_gemma":[0.9992324,0.00047695782,0.000085828906,0.000030088064,0.00011404823,0.000060615457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012545724,0.0005793251,0.0005029826,0.0009400567,0.0005230959,0.0013281754,0.00064874504,0.0007312838,0.0062390976],"category_scores_gemma":[0.0018684514,0.00035733444,0.0013752347,0.001057884,0.00038677955,0.0011091812,0.00053242315,0.0010588807,0.00030972634],"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":[0.0001729881,0.00011160902,0.01485036,0.000083445295,0.0001495757,0.0005459517,0.000107973254,0.9636186,0.0004024822,0.0152398115,0.0015118588,0.0032053234],"study_design_scores_gemma":[0.00002249634,0.000041524712,0.0050541335,0.000014081947,0.00004443334,0.00002959046,0.00012495733,0.9911504,0.00015896733,0.0028705604,0.00047934125,0.00000960635],"about_ca_topic_score_codex":0.064387046,"about_ca_topic_score_gemma":0.026995216,"teacher_disagreement_score":0.064387046,"about_ca_system_score_codex":0.0019845217,"about_ca_system_score_gemma":0.0012162721,"threshold_uncertainty_score":0.12802458},"labels":[],"label_agreement":null},{"id":"W3176643600","doi":"10.5430/rwe.v12n3p77","title":"Bank Profitability Determinants: Firm-Level Observations in the ASEAN-5 Markets","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Profitability index; Economics; Loan; Return on assets; Interest rate; Ordinary least squares; Return on equity; Per capita; Monetary economics; Capital adequacy ratio; Econometrics; Profit (economics); Finance","score_opus":0.1686646058259659,"score_gpt":0.3422828632556532,"score_spread":0.1736182574296873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176643600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640924,0.00011022545,0.0001536922,0.0000858616,0.0000030750475,0.000004925125,0.0016763959,0.000008599824,0.0015479663],"genre_scores_gemma":[0.997242,0.000065039334,0.00007894039,0.000017466013,0.0000070625224,0.000006265282,0.0021064037,0.0000019414342,0.0004748959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99953234,0.00012858774,0.000042595937,0.00008553448,0.00012306831,0.00008792268],"domain_scores_gemma":[0.99572974,0.0011448587,0.0020845258,0.00015375798,0.0005027822,0.00038431486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089856546,0.0002133999,0.00023570235,0.0012593246,0.00035913734,0.0013926493,0.00029672642,0.00036813767,0.0037016773],"category_scores_gemma":[0.0025435898,0.000105746134,0.00029695878,0.0021100342,0.00028105592,0.0011563622,0.00069610425,0.0005073584,0.00083522836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039767838,0.000081998325,0.9934735,0.000013503152,0.00005167143,0.00023157262,0.00019617529,0.0007614922,0.00017442783,0.00026212452,0.0013797806,0.0033340908],"study_design_scores_gemma":[0.0000019742615,0.00002851407,0.9953027,0.0000076046695,0.00001484058,0.00010812317,0.0007647047,0.002439729,0.00016041224,0.00008299251,0.0010818944,0.000006562966],"about_ca_topic_score_codex":0.022907898,"about_ca_topic_score_gemma":0.02573719,"teacher_disagreement_score":0.022907898,"about_ca_system_score_codex":0.00046286362,"about_ca_system_score_gemma":0.00040977425,"threshold_uncertainty_score":0.045549154},"labels":[],"label_agreement":null},{"id":"W3183564600","doi":"10.5430/rwe.v12n4p1","title":"The Impact of Change Management on the Efficiency of Organizations: An Applied Study on the DAL Dairy Factory - Sudan 2019 - 2020","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Banking, Crisis Management, COVID-19 Impact","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":"","keywords":"Factory (object-oriented programming); Organizational culture; Sample (material); Business; Marketing; Descriptive statistics; Operations management; Public relations; Economics; Political science; Computer science; Statistics; Mathematics","score_opus":0.17249466806873662,"score_gpt":0.3792553881735883,"score_spread":0.20676072010485166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183564600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989594,0.00004791555,0.000049418406,0.000060781214,0.000002821075,0.00002065513,0.000015387637,7.408082e-7,0.00084293424],"genre_scores_gemma":[0.99870455,0.00012540938,0.00020033427,0.00004770351,0.0000047561034,0.000025946487,0.000028486886,9.676718e-7,0.00086187234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978668,0.0010059526,0.00010601346,0.00016070913,0.00037533636,0.00048532314],"domain_scores_gemma":[0.9970362,0.0011065117,0.00055212557,0.00013932772,0.0006499762,0.0005159029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002797493,0.0002600959,0.00024766297,0.0012557307,0.0027552592,0.0017692324,0.00045424598,0.00056164066,0.0016742001],"category_scores_gemma":[0.0038046027,0.00019323749,0.0003918979,0.0013920313,0.00090707245,0.0008113079,0.0014275244,0.000689908,0.00020274981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034611174,0.004154104,0.8409001,0.0003354782,0.000092940674,0.0025910079,0.073520176,0.0011354802,0.0028025266,0.0011763652,0.00086040713,0.07208527],"study_design_scores_gemma":[0.000018579014,0.0013637923,0.84532595,0.00007881009,0.0000323672,0.00022150144,0.14684561,0.00079027447,0.0008838015,0.000168882,0.0042459085,0.00002456484],"about_ca_topic_score_codex":0.016563931,"about_ca_topic_score_gemma":0.034706842,"teacher_disagreement_score":0.016563931,"about_ca_system_score_codex":0.005148174,"about_ca_system_score_gemma":0.0027101997,"threshold_uncertainty_score":0.0373528},"labels":[],"label_agreement":null},{"id":"W3183590638","doi":"10.5430/rwe.v12n4p25","title":"Strategic Corporate Social Responsibility and Value Creation: Empirical Study in Palestine","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Business; Value (mathematics); Proactivity; Corporate social responsibility; Centrality; Voluntarism (philosophy); Order (exchange); Investment (military); Empirical research; Visibility; Accounting; Marketing; Industrial organization; Public relations; Economics; Finance; Management; Political science","score_opus":0.28525743165788076,"score_gpt":0.4238865930889278,"score_spread":0.13862916143104703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183590638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823296,0.00010462706,0.000027457738,0.000049029484,0.0000015402828,0.000009757184,0.000010862061,2.0389373e-7,0.0015635089],"genre_scores_gemma":[0.9993641,0.00020060598,0.000046955258,0.000036210335,0.0000032759096,0.000011119206,0.000022015587,3.3064222e-7,0.0003154663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911183,0.00039204303,0.00003479593,0.000068875444,0.00010285094,0.00028958765],"domain_scores_gemma":[0.99597967,0.0022850058,0.0008785361,0.00013400363,0.00025998443,0.00046275556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025615324,0.00032619626,0.00042298503,0.0018261768,0.0030280608,0.0025139411,0.0005407809,0.00065935066,0.003756427],"category_scores_gemma":[0.0037749347,0.00043854048,0.0002458078,0.002680017,0.0023927086,0.0017555553,0.0021840252,0.001674342,0.00031090854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012410693,0.0024216564,0.90018123,0.00014695842,0.00003815578,0.0015148097,0.07349401,0.00033420086,0.0004532302,0.0038943382,0.00034945525,0.01704771],"study_design_scores_gemma":[0.000024185145,0.00031937836,0.73212254,0.00024257223,0.000026097981,0.0003301859,0.26256984,0.0008967086,0.00021488333,0.00070013443,0.0025394517,0.000014007877],"about_ca_topic_score_codex":0.02360552,"about_ca_topic_score_gemma":0.047215477,"teacher_disagreement_score":0.02360552,"about_ca_system_score_codex":0.002269934,"about_ca_system_score_gemma":0.0026777799,"threshold_uncertainty_score":0.046936274},"labels":[],"label_agreement":null},{"id":"W3184048897","doi":"10.5430/rwe.v10n3p329","title":"Trade Policy, Infrastructure and Agricultural Output in Nigeria","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","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; Liberalization; Agriculture; Context (archaeology); Distributed lag; Deregulation; Agricultural productivity; Economic policy; Business; Market economy","score_opus":0.045758979499457744,"score_gpt":0.28378660332609745,"score_spread":0.23802762382663972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184048897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925402,0.0004212793,0.00009809522,0.0003796791,0.000005620784,0.0000026551184,0.00008934474,0.0000019254435,0.0064611994],"genre_scores_gemma":[0.9985636,0.00055135414,0.00004505219,0.000015335432,0.0000029554783,0.0000016600137,0.0000482568,8.9424714e-7,0.0007708606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999285,0.000020382578,0.000005868111,0.00000783465,0.000011473273,0.000026028676],"domain_scores_gemma":[0.9994425,0.0002499477,0.00020650215,0.00001060356,0.000045634253,0.000044816825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002982037,0.00010490329,0.00010616846,0.00044920153,0.00042812072,0.0014510688,0.000074268275,0.00022645727,0.0018401588],"category_scores_gemma":[0.0009549455,0.00008636365,0.0000942972,0.00089693285,0.0005084404,0.00052439515,0.00038427374,0.00042513155,0.00014691435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002329907,0.00022311289,0.92143166,0.00013644743,0.00004216135,0.0012803726,0.0018545141,0.014344767,0.001304599,0.036105257,0.0012990556,0.021745153],"study_design_scores_gemma":[0.000030836178,0.00020510325,0.93201524,0.00039025032,0.000085795444,0.00053055055,0.016825413,0.020604,0.0015076917,0.016891854,0.010886871,0.000026367532],"about_ca_topic_score_codex":0.01968196,"about_ca_topic_score_gemma":0.030469446,"teacher_disagreement_score":0.01968196,"about_ca_system_score_codex":0.0013180709,"about_ca_system_score_gemma":0.0009386377,"threshold_uncertainty_score":0.0391348},"labels":[],"label_agreement":null},{"id":"W3186244197","doi":"10.5430/rwe.v12n4p17","title":"Government Size and Corruption: A Non-linear Analysis in the Case of EMCCA","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Language change; Government (linguistics); Economics; Panel data; Linear relationship; Econometrics; Public economics; Monetary economics; Development economics; Macroeconomics; Statistics; Mathematics","score_opus":0.09029069921338073,"score_gpt":0.32818033985339123,"score_spread":0.2378896406400105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186244197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875337,0.00069912535,0.0049976655,0.0016204261,0.000022919481,0.000019912371,0.00035994928,0.000049542636,0.0046967957],"genre_scores_gemma":[0.9964072,0.00023384202,0.0004502392,0.00006890394,0.000036314017,0.000018092214,0.0002552145,0.0000109539715,0.0025192166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710745,0.0017891902,0.00005721211,0.00024380359,0.00015872336,0.000643704],"domain_scores_gemma":[0.984539,0.010337558,0.0028143397,0.0007663009,0.0008639605,0.00067885185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028262562,0.000334083,0.00082803966,0.001290863,0.0010244758,0.0016348012,0.0007525739,0.0010687592,0.0056501646],"category_scores_gemma":[0.00904318,0.0003100729,0.0012282243,0.0017896465,0.0012164592,0.001248569,0.00155427,0.002249559,0.0006713853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004914389,0.0006251581,0.8700794,0.00012801503,0.0009366472,0.0029260735,0.0015127491,0.060091116,0.0010292336,0.042696223,0.0050174356,0.014466451],"study_design_scores_gemma":[0.00007290701,0.00046673772,0.69036466,0.00012056061,0.0005735773,0.0006938849,0.0035913733,0.28041366,0.00069297734,0.0152769135,0.007641067,0.00009166695],"about_ca_topic_score_codex":0.05012689,"about_ca_topic_score_gemma":0.0443004,"teacher_disagreement_score":0.05012689,"about_ca_system_score_codex":0.0014890898,"about_ca_system_score_gemma":0.001080204,"threshold_uncertainty_score":0.09967023},"labels":[],"label_agreement":null},{"id":"W3196716528","doi":"10.5430/rwe.v12n4p38","title":"Investigating the Relationship Between Country Competitiveness and Financial Market Development in Times of Crisis","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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":"Per capita; Index (typography); Financial crisis; Economics; Corporate governance; Financial market; Business; Financial system; Finance; Macroeconomics","score_opus":0.08803886375492556,"score_gpt":0.30484864843673076,"score_spread":0.2168097846818052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196716528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99368393,0.00035793585,0.0004807875,0.00066616735,0.000012668354,0.000012590716,0.00022507746,0.000007855016,0.004552951],"genre_scores_gemma":[0.999089,0.00026260628,0.00009913516,0.000032833348,0.00001017838,0.0000055454907,0.00016521211,0.0000020429297,0.00033351558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99944216,0.00021081688,0.000035139165,0.000065245025,0.00005749113,0.00018905364],"domain_scores_gemma":[0.9919882,0.0040806574,0.0027642013,0.00009953131,0.00040913167,0.00065830146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013400096,0.00027394202,0.0004103872,0.0014007484,0.00040947122,0.0025179333,0.00028183084,0.0007570952,0.004388078],"category_scores_gemma":[0.006221723,0.00017209043,0.0005998805,0.0020042984,0.0008030185,0.0017687364,0.0010509038,0.0011636413,0.00035181522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013607455,0.00023993412,0.97817546,0.0000693675,0.00021545391,0.00044425085,0.0005932534,0.009018015,0.00023299945,0.0042759078,0.00080927974,0.0057899617],"study_design_scores_gemma":[0.000014111249,0.0002397948,0.9680092,0.000057768946,0.00012498317,0.0001309776,0.0061490447,0.021104762,0.00028649668,0.0024726437,0.0013799075,0.000030299188],"about_ca_topic_score_codex":0.01581376,"about_ca_topic_score_gemma":0.013492297,"teacher_disagreement_score":0.01581376,"about_ca_system_score_codex":0.0009011298,"about_ca_system_score_gemma":0.00093927514,"threshold_uncertainty_score":0.031443417},"labels":[],"label_agreement":null},{"id":"W3197658098","doi":"10.5430/rwe.v12n4p54","title":"Structural Constraints to African Continental Free Trade Area: Prospects, Issues and Policy Options","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Economic integration; Politics; International free trade agreement; Trade barrier; Free trade; Economics; International trade; Obstacle; Commercial policy; International economics; Political science","score_opus":0.12536060301049834,"score_gpt":0.3251791314691191,"score_spread":0.19981852845862075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197658098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3370899,0.07493091,0.0071231406,0.25514376,0.0007183678,0.00014319057,0.0018695878,0.000045703386,0.32293546],"genre_scores_gemma":[0.95544994,0.02904903,0.0020433383,0.004057739,0.000500313,0.000081931445,0.00039343597,0.000012613904,0.008411608],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986858,0.00051444053,0.000039538634,0.0001047716,0.00017938475,0.00047604836],"domain_scores_gemma":[0.9963743,0.0018666282,0.00073605723,0.00011203304,0.00041914568,0.0004917738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022831932,0.00034673835,0.00042173028,0.0016572761,0.0025916055,0.007367583,0.00089522445,0.0024817595,0.022359492],"category_scores_gemma":[0.007654856,0.00021298113,0.0003711223,0.0042684088,0.003668821,0.0053724484,0.0024058323,0.0022805529,0.000705839],"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":[0.00007003126,0.00008808224,0.010816641,0.0003950144,0.000026057924,0.00054295704,0.0013756487,0.003502251,0.0002291577,0.9316987,0.0074505643,0.04380486],"study_design_scores_gemma":[0.000045410277,0.000115797084,0.04684822,0.0035255044,0.000057841124,0.0005708347,0.026869502,0.006423621,0.0007547463,0.5903451,0.32436913,0.000074383446],"about_ca_topic_score_codex":0.023709634,"about_ca_topic_score_gemma":0.030494707,"teacher_disagreement_score":0.023709634,"about_ca_system_score_codex":0.0052217427,"about_ca_system_score_gemma":0.007558851,"threshold_uncertainty_score":0.074799955},"labels":[],"label_agreement":null},{"id":"W3202438326","doi":"10.5430/rwe.v12n4p70","title":"Effect of Backward Design With Virtual Learning Ecosystem to Enhance Design Thinking and Innovation Skills","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Innovation and Socioeconomic Development","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":"Design thinking; Virtual learning environment; Instructional simulation; Digital learning; Computer science; Knowledge management; Educational technology; Multimedia; Mathematics education; Psychology; Human–computer interaction","score_opus":0.03402276808125274,"score_gpt":0.3175840264641619,"score_spread":0.28356125838290913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202438326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861174,0.00013802011,0.0042804047,0.00017455083,0.00006591567,0.0002969402,0.000027083513,0.00017407289,0.008725441],"genre_scores_gemma":[0.9718417,0.00023946511,0.021508846,0.00015544207,0.000019874282,0.0003646083,0.0000702361,0.000036490936,0.0057633487],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987723,0.0004871279,0.00009880402,0.00016604131,0.0002819858,0.00019376351],"domain_scores_gemma":[0.99607736,0.0019279917,0.00040477703,0.00036365437,0.0003556439,0.0008705377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001421309,0.00077452144,0.00039603532,0.00061281974,0.00043436917,0.0014189348,0.00055039045,0.0007205527,0.005620591],"category_scores_gemma":[0.005867407,0.0002895551,0.00091353635,0.00024018009,0.00047084637,0.0012191766,0.0018450323,0.00077363296,0.00061881304],"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":[0.010785901,0.085172944,0.045520894,0.0032332654,0.00035161874,0.0014227,0.012837679,0.007959512,0.15847877,0.0075012865,0.0053463792,0.661389],"study_design_scores_gemma":[0.0074753673,0.1872443,0.40618065,0.0021893543,0.0024592495,0.0036314295,0.013101502,0.045665868,0.20403491,0.023553131,0.10375143,0.00071274367],"about_ca_topic_score_codex":0.00030004972,"about_ca_topic_score_gemma":0.00037612443,"teacher_disagreement_score":0.005620591,"about_ca_system_score_codex":0.00028931999,"about_ca_system_score_gemma":0.00095198804,"threshold_uncertainty_score":0.018802762},"labels":[],"label_agreement":null},{"id":"W4200054490","doi":"10.5430/rwe.v12n4p82","title":"Influence of Parents, Peers and the Public on the Behavior of Street Children in Khartoum, Sudan","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Homelessness and Social Issues","field":"Health Professions","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":"Socioeconomic status; Intervention (counseling); Stressor; Psychology; Welfare; Peer pressure; Developmental psychology; Socioeconomics; Environmental health; Social psychology; Medicine; Clinical psychology; Sociology; Political science; Psychiatry; Population","score_opus":0.12338767361922641,"score_gpt":0.456168625224825,"score_spread":0.33278095160559856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200054490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99975413,0.000035405486,0.0000020714394,0.000024536033,9.851265e-7,0.0000012151482,0.000007820394,2.0202566e-7,0.00017359563],"genre_scores_gemma":[0.99979025,0.000085282016,0.000011634718,0.000012618098,0.0000013143032,0.0000020236432,0.000011168594,2.5326912e-7,0.000085511354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99961805,0.00018961147,0.0000208109,0.000025132678,0.00006287362,0.000083397106],"domain_scores_gemma":[0.99938166,0.00013697495,0.0002512126,0.000022272647,0.000058223846,0.00014952786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469868,0.00015409513,0.00017376288,0.0005001864,0.0014047708,0.0007389424,0.00015286407,0.00023468451,0.0010424212],"category_scores_gemma":[0.0012053411,0.00015858827,0.00014342375,0.0004250519,0.00051962695,0.0002760484,0.0005180239,0.00034061813,0.000083730934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016947852,0.00009699424,0.98760265,0.000010507494,0.000012806385,0.00035292064,0.008737199,0.000011484529,0.00021884125,0.00005518602,0.000096225114,0.0027881844],"study_design_scores_gemma":[0.0000011276139,0.000057654488,0.9780489,0.000015986652,0.000007029269,0.0001275633,0.02136479,0.000030805884,0.000043533713,0.000014058572,0.00028574798,0.0000028667848],"about_ca_topic_score_codex":0.026158236,"about_ca_topic_score_gemma":0.069354065,"teacher_disagreement_score":0.026158236,"about_ca_system_score_codex":0.0007429244,"about_ca_system_score_gemma":0.0006559669,"threshold_uncertainty_score":0.052011967},"labels":[],"label_agreement":null},{"id":"W4200272524","doi":"10.5430/rwe.v12n4p111","title":"Tracking COVID-19 Decease Through Rolling Conditional Variance","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"COVID-19 epidemiological studies","field":"Mathematics","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 disease 2019 (COVID-19); Heteroscedasticity; Econometrics; Pandemic; Autoregressive model; Robustness (evolution); Volatility (finance); Variance (accounting); Autoregressive integrated moving average; Statistics; Economics; Mathematics; Disease; Medicine; Time series; Infectious disease (medical specialty); Biology","score_opus":0.6777293897613371,"score_gpt":0.5682103098702795,"score_spread":0.10951907989105758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200272524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7579347,0.0003942771,0.23670359,0.00050760387,0.000093551105,0.00006785521,0.0012624883,0.0006915385,0.0023443424],"genre_scores_gemma":[0.97795403,0.000101158046,0.019182272,0.00004996867,0.000023043698,0.00002939247,0.001605206,0.00004827106,0.0010066979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851674,0.0005394836,0.0000756537,0.00046719483,0.00021772283,0.00018314074],"domain_scores_gemma":[0.9920218,0.004227599,0.0011112368,0.0014662045,0.0009909564,0.00018212135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052831853,0.00045150553,0.0006168813,0.001080852,0.00040816606,0.0011826453,0.0010362447,0.00051929173,0.0019573858],"category_scores_gemma":[0.01902072,0.00032375578,0.0008190665,0.0009881274,0.00051978766,0.0010564956,0.0009864889,0.0011682955,0.00035579252],"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":[0.00037232006,0.00021120602,0.37274632,0.00012497466,0.0004965963,0.00046965296,0.00044263338,0.46840307,0.004087337,0.041776713,0.0050895023,0.10577961],"study_design_scores_gemma":[0.000009388995,0.000072930845,0.040437523,0.000021306567,0.000065286134,0.00008150197,0.00009754639,0.94839257,0.0018028951,0.0074033225,0.0015782582,0.00003748302],"about_ca_topic_score_codex":0.02190864,"about_ca_topic_score_gemma":0.018856453,"teacher_disagreement_score":0.02190864,"about_ca_system_score_codex":0.00060457253,"about_ca_system_score_gemma":0.0009210368,"threshold_uncertainty_score":0.043562233},"labels":[],"label_agreement":null},{"id":"W4200407640","doi":"10.5430/rwe.v12n4p94","title":"A Study of Financial Development Impact on Economic Growth: A Comparison Between Egypt and Saudi Arabia","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","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":"Gross domestic product; Economics; Order (exchange); Measures of national income and output; Real gross domestic product; Economic expansion; Gross domestic income; Gross output; Macroeconomics; Development economics; Public economics; Finance; Gross income; Production (economics)","score_opus":0.0926328199677117,"score_gpt":0.3614075927326828,"score_spread":0.2687747727649711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200407640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924804,0.0017798526,0.000037834474,0.000453299,0.00001458254,0.0000048640018,0.00024828798,0.0000018754436,0.0049791043],"genre_scores_gemma":[0.9977253,0.0013305381,0.000024114548,0.000044195865,0.000015409323,0.0000015396712,0.00021032913,0.0000010771191,0.00064749306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983966,0.000026690559,0.000018226776,0.000012443909,0.000041391533,0.0000616277],"domain_scores_gemma":[0.99898416,0.00020685596,0.00027707376,0.000016233484,0.0003303056,0.00018520674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041347888,0.00021468685,0.00016187115,0.0017932345,0.00043261747,0.0011308279,0.00017049293,0.0002270397,0.002315548],"category_scores_gemma":[0.0010095037,0.00006361742,0.00037780407,0.0024329952,0.00038707463,0.00064514944,0.00052541355,0.0003196415,0.0003145792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003611019,0.00014980738,0.964605,0.0001587131,0.00015253542,0.00087300455,0.0021227228,0.0006558202,0.00031161943,0.002920526,0.0014719953,0.026217151],"study_design_scores_gemma":[0.00001371375,0.00011762192,0.98304844,0.000094957,0.00008961074,0.00029126118,0.010104864,0.00067188346,0.00024780337,0.00029001833,0.0050199474,0.000009903715],"about_ca_topic_score_codex":0.02737769,"about_ca_topic_score_gemma":0.019882048,"teacher_disagreement_score":0.02737769,"about_ca_system_score_codex":0.0012003388,"about_ca_system_score_gemma":0.0008697316,"threshold_uncertainty_score":0.054436684},"labels":[],"label_agreement":null},{"id":"W4233980930","doi":"10.5430/rwe.v2n194","title":"Analysis of Factors and Countermeasures on Intellectual Property Friction in China's Foreign Trade","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","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":"China; Intellectual property; International trade; Government (linguistics); Business; Economics; Political science; Law","score_opus":0.302518799337,"score_gpt":0.29054813033483307,"score_spread":0.011970669002166923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233980930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857329,0.0011690147,0.00041203076,0.0006414649,0.000010717649,0.00003219715,0.00005184202,0.00001159982,0.011938184],"genre_scores_gemma":[0.99922395,0.00023226312,0.000053352447,0.000019746996,0.000006750761,0.000003021028,0.00002409505,0.0000011413789,0.00043565143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986833,0.0001494798,0.00011692647,0.00013725516,0.0004885823,0.00042452916],"domain_scores_gemma":[0.9969072,0.0007290798,0.0015602087,0.00015868118,0.00034129008,0.00030352507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013779746,0.0002782516,0.00048272547,0.002984324,0.0012917042,0.0032561384,0.0004204784,0.0005406141,0.004495737],"category_scores_gemma":[0.005024329,0.00012865271,0.00042899433,0.0031845642,0.0016795972,0.0022460395,0.00118016,0.0005947837,0.00016814198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018303096,0.00018610219,0.85903937,0.00035131472,0.00019353043,0.0028199912,0.006552788,0.0074475347,0.0018070107,0.061630525,0.002141487,0.057647213],"study_design_scores_gemma":[0.000026500202,0.00008138408,0.9631909,0.00022191436,0.00010741808,0.0003283572,0.010901929,0.007455834,0.00079703983,0.008688108,0.008166503,0.000034058554],"about_ca_topic_score_codex":0.020589378,"about_ca_topic_score_gemma":0.0142981615,"teacher_disagreement_score":0.020589378,"about_ca_system_score_codex":0.0031821402,"about_ca_system_score_gemma":0.0038098688,"threshold_uncertainty_score":0.040939093},"labels":[],"label_agreement":null},{"id":"W4234290156","doi":"10.5430/rwe.v2n124","title":"Factors Affecting Job Opportunities for University Graduates in China---the Evidence from University Graduates in Beijing","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Labor market dynamics and wage inequality","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":"Beijing; China; Medical education; Political science; Medicine","score_opus":0.37727570118979004,"score_gpt":0.3125850424561259,"score_spread":0.06469065873366414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234290156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987226,0.00031282622,0.000014796628,0.00016336543,0.000003359046,0.000004668994,0.00017977312,0.0000015842062,0.00059707573],"genre_scores_gemma":[0.99934906,0.00015713165,0.000010051022,0.00002818153,0.0000041927074,0.0000037750617,0.00019519334,7.070425e-7,0.0002517147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940777,0.00009456679,0.000075484364,0.00008045612,0.00013112806,0.00021048762],"domain_scores_gemma":[0.99695706,0.00035091743,0.0009468543,0.00015339251,0.00028804413,0.0013037163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008907821,0.00027035462,0.00040182986,0.001808337,0.0010474789,0.0008530384,0.00065018417,0.00047960822,0.0028554967],"category_scores_gemma":[0.0019983628,0.00021914537,0.00052813895,0.002380435,0.00087804743,0.00050340657,0.0012583085,0.00041640815,0.00040140047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026450512,0.000028425035,0.99680895,0.000015257298,0.000021633701,0.000065816836,0.00044894122,0.000035469642,0.000111369314,0.00004246602,0.00014181012,0.0022534076],"study_design_scores_gemma":[0.00000133164,0.000009652865,0.999574,0.0000033653803,0.000002900232,0.0000090554195,0.0002874209,0.0000212336,0.000008157921,0.000008467102,0.00007334453,0.0000010634512],"about_ca_topic_score_codex":0.07333294,"about_ca_topic_score_gemma":0.14045393,"teacher_disagreement_score":0.07333294,"about_ca_system_score_codex":0.001383132,"about_ca_system_score_gemma":0.0014330326,"threshold_uncertainty_score":0.14581215},"labels":[],"label_agreement":null},{"id":"W4235194574","doi":"10.5430/rwe.v2n158","title":"Industrialization of the Manufacturing Sector and Trade Opening in Cameroon","year":2011,"lang":"en","type":"article","venue":"Research in World Economy","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":"","keywords":"Industrialisation; Manufacturing sector; Economics; Manufacturing; Business; International trade; International economics; Market economy","score_opus":0.38005150098666046,"score_gpt":0.29674288059937615,"score_spread":0.08330862038728432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235194574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969338,0.0012004684,0.00041956187,0.00024308675,0.000014490732,0.000004945089,0.00027849042,0.000007996424,0.00089708884],"genre_scores_gemma":[0.9988538,0.0005269656,0.00008934959,0.000015548101,0.000010027204,0.0000026192195,0.00020804937,0.000002274175,0.00029139116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995036,0.00015637794,0.000030029143,0.000082031525,0.000041141695,0.00018683495],"domain_scores_gemma":[0.9942977,0.0024191288,0.0025464322,0.00016400653,0.0002304217,0.0003423365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008850983,0.00033112612,0.0003466369,0.0010220133,0.00041501675,0.0013908294,0.00017598135,0.00027159188,0.0033994368],"category_scores_gemma":[0.003076089,0.00018862203,0.0005222164,0.0021848143,0.0006168937,0.0009183869,0.000983536,0.0008162141,0.00019431688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018289131,0.00006396395,0.9868196,0.000039165763,0.000114220275,0.00063055335,0.00033444935,0.004038174,0.00040761818,0.00082299166,0.00027751861,0.0062688775],"study_design_scores_gemma":[0.000008004867,0.000070816626,0.9914682,0.000050204868,0.00006082152,0.00015871333,0.0007591467,0.0055107647,0.00041360385,0.0004080689,0.0010809354,0.000010695617],"about_ca_topic_score_codex":0.031212011,"about_ca_topic_score_gemma":0.022042958,"teacher_disagreement_score":0.031212011,"about_ca_system_score_codex":0.0010333557,"about_ca_system_score_gemma":0.0007676328,"threshold_uncertainty_score":0.062060654},"labels":[],"label_agreement":null},{"id":"W4236901077","doi":"10.5430/rwe.v11n6p25","title":"Determinants of Marketing Performance on Durian Product for Exporting: Study in South of Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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; Distribution (mathematics); Mediation; Product (mathematics); Marketing; Promotion (chess); Export performance; Export marketing; Advertising; Industrial organization; Mathematics","score_opus":0.1212000503235285,"score_gpt":0.3265766466620867,"score_spread":0.2053765963385582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236901077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991966,0.00003583565,0.000019365634,0.000068249836,9.994278e-7,0.0000056522067,0.000040225525,4.5964626e-7,0.00063270936],"genre_scores_gemma":[0.9992655,0.000105668936,0.000027720796,0.000019680829,0.000002197808,0.0000074249137,0.00005687531,0.0000010883654,0.00051383296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997179,0.00007873537,0.00002136924,0.000037612564,0.000060830902,0.000083577674],"domain_scores_gemma":[0.9979184,0.0005565912,0.0006298694,0.00005883985,0.00023410154,0.0006021369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049586623,0.0002290747,0.00016370772,0.00039112289,0.00071904494,0.0011278995,0.00023543126,0.0002759976,0.003920845],"category_scores_gemma":[0.0013213847,0.00016428772,0.00034313134,0.000854388,0.00040730083,0.000638365,0.00053344184,0.00075641484,0.00032843737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007644495,0.00035434915,0.9763697,0.00009260802,0.000040963987,0.0011413958,0.014686412,0.00010759143,0.0007840502,0.00020524346,0.00037035753,0.0057709673],"study_design_scores_gemma":[0.0000035611943,0.00017377787,0.96860987,0.00003857937,0.000021943992,0.0003892718,0.029346686,0.00030770758,0.00020258494,0.00004852982,0.0008486851,0.000008769334],"about_ca_topic_score_codex":0.0146026,"about_ca_topic_score_gemma":0.02057395,"teacher_disagreement_score":0.0146026,"about_ca_system_score_codex":0.00057224,"about_ca_system_score_gemma":0.0009760211,"threshold_uncertainty_score":0.02903521},"labels":[],"label_agreement":null},{"id":"W4244881527","doi":"10.5430/rwe.v11n6p111","title":"Effect of Knowledge Sharing and Digital Management to Performance on Ecotourism in Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Digital Marketing and Social Media","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":"Ecotourism; Tourism; Business; Questionnaire; Mediation; Information and Communications Technology; Marketing; Tourist attraction; Environmental resource management; Geography; Computer science; Sociology; Environmental science","score_opus":0.03974156142547651,"score_gpt":0.3521426357123652,"score_spread":0.3124010742868887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244881527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805486,0.00004849211,0.000030439789,0.00005914485,0.0000010557907,0.0000048083207,0.000031061034,0.0000011568408,0.0017689625],"genre_scores_gemma":[0.99940133,0.00005464872,0.000027730302,0.000005333375,9.824796e-7,0.0000035654305,0.000025749096,6.204257e-7,0.0004800189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933225,0.0002411324,0.000041808882,0.000063031584,0.000121411904,0.00020032334],"domain_scores_gemma":[0.99522406,0.0017038343,0.0011791448,0.00012234693,0.00056549587,0.0012052273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007023002,0.00020035799,0.00015024186,0.00059891073,0.0008580989,0.0017549035,0.00028186766,0.00020425842,0.0036307957],"category_scores_gemma":[0.003058667,0.00011322725,0.00021152283,0.001111296,0.000695716,0.00061778474,0.0010255172,0.00040778104,0.00017577405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011076599,0.00029086566,0.97353137,0.00009349608,0.00006730449,0.0007206983,0.008641405,0.00042342098,0.0004737457,0.00034879785,0.00027769766,0.0150205],"study_design_scores_gemma":[0.0000044047383,0.00013022221,0.97187763,0.000044881483,0.000025986783,0.00009925669,0.026211992,0.0006543715,0.00014945894,0.0001035964,0.00068936317,0.000008934312],"about_ca_topic_score_codex":0.05373748,"about_ca_topic_score_gemma":0.072592154,"teacher_disagreement_score":0.05373748,"about_ca_system_score_codex":0.0012103987,"about_ca_system_score_gemma":0.002580714,"threshold_uncertainty_score":0.10684943},"labels":[],"label_agreement":null},{"id":"W4245722427","doi":"10.5430/rwe.v11n4p90","title":"Reviewer Acknowledgements for Research in World Economy, Vol. 11, No. 4","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Economic and Technological Innovation","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":"World economy; Economy; Economics; Political science; Library science; Regional science; Sociology; Computer science; Law","score_opus":0.3449947965094721,"score_gpt":0.3986873136468024,"score_spread":0.05369251713733025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245722427","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005684235,0.0027825646,0.0005441021,0.11103497,0.87982595,0.0003543087,0.00056451035,0.0003163456,0.004520401],"genre_scores_gemma":[0.002185686,0.008262833,0.0017867603,0.13383886,0.7484695,0.0016298344,0.0018648438,0.0009539207,0.101007864],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.968872,0.0053577623,0.0054539233,0.0020359748,0.016824326,0.0014559455],"domain_scores_gemma":[0.37941483,0.025968214,0.010236042,0.005296977,0.56813294,0.010951047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025930848,0.002552768,0.004736124,0.009171213,0.004219229,0.011183883,0.005874844,0.015458371,0.16210914],"category_scores_gemma":[0.2938664,0.0012691523,0.0041850847,0.0042074933,0.0021069741,0.0070923474,0.0038691484,0.009163208,0.094624944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012408947,0.000002381139,0.000025159281,0.00022853182,0.0000037069155,0.00002577147,0.0000106783855,0.0000050692615,0.00001842099,0.00007610883,0.9969964,0.0025952698],"study_design_scores_gemma":[0.00007688036,0.00002715797,0.00044211876,0.0017240882,0.000040868756,0.00033263396,0.00014829468,0.000104804465,0.000119571225,0.00090318447,0.9960167,0.00006366722],"about_ca_topic_score_codex":0.004069299,"about_ca_topic_score_gemma":0.006801718,"teacher_disagreement_score":0.16210914,"about_ca_system_score_codex":0.005772037,"about_ca_system_score_gemma":0.01028502,"threshold_uncertainty_score":0.54230905},"labels":[],"label_agreement":null},{"id":"W4245997463","doi":"10.5430/rwe.v11n6p87","title":"The Influence of Food Service Quality and Innovation Production on Local Product of Thailand: Study of Creative Agriculture","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Trade and Competitiveness","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":"Promotion (chess); Product (mathematics); Business; Commercialization; Marketing; Agriculture; Customer satisfaction; Service (business); Production (economics); Quality (philosophy); Economics; Mathematics; Geography","score_opus":0.11655358233809796,"score_gpt":0.3340435060008619,"score_spread":0.21748992366276396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245997463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910337,0.000025445088,0.000030069148,0.000020135692,8.4864536e-7,0.0000037047726,0.000011214482,4.1508204e-7,0.00080471596],"genre_scores_gemma":[0.999485,0.00004849093,0.000026276812,0.0000073664746,0.0000015308889,0.000002909997,0.000017475808,8.7965645e-7,0.0004099285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936944,0.00025413992,0.000034739143,0.000071296075,0.00014474492,0.00012562555],"domain_scores_gemma":[0.99671316,0.0015293364,0.0006909071,0.000079580765,0.00033996825,0.0006470842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007287616,0.00020170011,0.00018309438,0.00064719067,0.00081036024,0.0019896263,0.000240689,0.0003368935,0.003187896],"category_scores_gemma":[0.0023781587,0.00017906091,0.0003395317,0.0012833416,0.0008620059,0.0006072174,0.0006608183,0.0005933823,0.00023475479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002557802,0.00067210937,0.9462905,0.00012404953,0.000078670266,0.0021127532,0.037099004,0.0003683934,0.002220162,0.00042855658,0.0001888604,0.010161105],"study_design_scores_gemma":[0.0000052941477,0.00044556352,0.9449518,0.000024872652,0.00004392899,0.0004095265,0.051972713,0.00085719454,0.00052101887,0.000116433825,0.000633513,0.000018146755],"about_ca_topic_score_codex":0.012230291,"about_ca_topic_score_gemma":0.0154461395,"teacher_disagreement_score":0.012230291,"about_ca_system_score_codex":0.00092972687,"about_ca_system_score_gemma":0.0010657132,"threshold_uncertainty_score":0.024318159},"labels":[],"label_agreement":null},{"id":"W4247076809","doi":"10.5430/rwe.v11n6p75","title":"Public Policy of Green Practices by Restaurants and Hotels: Case of Ecotourism in Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Promotion (chess); Business; Product (mathematics); Green innovation; Environmentally friendly; Marketing; Ecotourism; Questionnaire; Tourism; Industrial organization; Geography","score_opus":0.08845433342181133,"score_gpt":0.3260152584702719,"score_spread":0.23756092504846058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247076809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886856,0.0002106076,0.00012502137,0.0017393081,0.0000075192515,0.000022788023,0.00005077042,0.0000034016816,0.0091548925],"genre_scores_gemma":[0.9982828,0.00022569277,0.00004693591,0.00006551044,0.0000032019002,0.000008733718,0.00002079095,9.65282e-7,0.0013454388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863535,0.0005125033,0.00003607922,0.000062230116,0.0001083324,0.00064543885],"domain_scores_gemma":[0.9972676,0.0008220684,0.00067656755,0.00006014358,0.000320282,0.0008533119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007761543,0.0001605201,0.00015273847,0.00050371763,0.003591353,0.0035595517,0.0007345337,0.0010782917,0.004408558],"category_scores_gemma":[0.001487722,0.00022033161,0.00026647354,0.0014077232,0.0015292359,0.0011272744,0.0015945194,0.001225652,0.00015436219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010904238,0.0022114138,0.6304745,0.0010638267,0.00025701002,0.122459754,0.0772005,0.018591046,0.0036737444,0.09449673,0.009628349,0.03885274],"study_design_scores_gemma":[0.0000827253,0.0003816904,0.40847048,0.00038121894,0.000100262136,0.003262662,0.5463515,0.012328445,0.00075755344,0.0046825907,0.023095375,0.000105558334],"about_ca_topic_score_codex":0.17402264,"about_ca_topic_score_gemma":0.2061684,"teacher_disagreement_score":0.17402264,"about_ca_system_score_codex":0.008270385,"about_ca_system_score_gemma":0.0071563725,"threshold_uncertainty_score":0.34601945},"labels":[],"label_agreement":null},{"id":"W4251692602","doi":"10.5430/rwe.v11n6p99","title":"Knowledge Intensive Herbal City Community Innovative Services in Thailand: Role of Solutions Provision Competence","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Entrepreneurship Studies and Influences","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":"Competence (human resources); Business; Knowledge management; Questionnaire; Marketing; Management; Economics","score_opus":0.12509747071531943,"score_gpt":0.33686708458345704,"score_spread":0.2117696138681376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251692602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98757464,0.00022186927,0.00022483982,0.0005879365,0.0000047758226,0.000028688517,0.000025438248,0.0000052892133,0.011326457],"genre_scores_gemma":[0.99849105,0.00020244572,0.00016841925,0.00003629018,0.0000027453011,0.000006166322,0.000015345127,0.0000011644142,0.0010763338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905664,0.00035293313,0.00005589382,0.00006288208,0.00022910214,0.00024256024],"domain_scores_gemma":[0.9947902,0.0016034624,0.001119253,0.00011722944,0.00046157237,0.0019083836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010962079,0.00014705423,0.00010995811,0.0010701647,0.0015032822,0.003307139,0.00033454128,0.00034297272,0.004857777],"category_scores_gemma":[0.0035009773,0.00012142581,0.00012200462,0.0011772352,0.00083612057,0.0015205503,0.00211505,0.00048253042,0.00018798248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019888066,0.001325083,0.6413782,0.00082266546,0.00008291489,0.0044405847,0.098334715,0.0008229299,0.003366411,0.009273098,0.0035867721,0.23636773],"study_design_scores_gemma":[0.00004429452,0.0004899911,0.7071147,0.0005797683,0.000058159552,0.0014979962,0.2541561,0.0034003526,0.0015977117,0.0034066106,0.027595391,0.000058925816],"about_ca_topic_score_codex":0.008191613,"about_ca_topic_score_gemma":0.015250362,"teacher_disagreement_score":0.008191613,"about_ca_system_score_codex":0.0015530873,"about_ca_system_score_gemma":0.00559356,"threshold_uncertainty_score":0.016287863},"labels":[],"label_agreement":null},{"id":"W4253465170","doi":"10.5430/rwe.v11n6p50","title":"Effect of Product Development and Standard Product to Performance of Ecotourism: Case of Ranong Province, Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Ecotourism; Product (mathematics); Marketing; Questionnaire; Geography; Tourism; Business; Data collection; Environmental resource management; Sociology; Social science; Environmental science","score_opus":0.04693084590090806,"score_gpt":0.36443835218270787,"score_spread":0.3175075062817998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253465170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98960894,0.00022584143,0.000119076925,0.00011064716,0.0000038508106,0.000033741297,0.000031807172,0.0000037259392,0.009862392],"genre_scores_gemma":[0.9972777,0.0001914266,0.0001615977,0.000011831623,0.0000016767596,0.00000967769,0.000027240398,0.0000020040452,0.0023169005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877375,0.0005780074,0.000050621267,0.00009653653,0.0002498145,0.00025130986],"domain_scores_gemma":[0.9961815,0.0017302124,0.0005076684,0.00011583821,0.000858945,0.00060589076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013537556,0.00027438326,0.0001830162,0.0008375922,0.0013343787,0.0027116525,0.00049134187,0.00047786525,0.006593006],"category_scores_gemma":[0.002791394,0.00013536736,0.00040909275,0.0011381172,0.0011415036,0.0011508184,0.0010415447,0.00081135274,0.0003818206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002412041,0.004265908,0.76498234,0.0016680018,0.0002640456,0.029239926,0.051374793,0.009173328,0.014624904,0.013277984,0.0032262024,0.10549056],"study_design_scores_gemma":[0.000055755452,0.0030270237,0.8319242,0.0003249584,0.00018593181,0.0017498465,0.13509688,0.008383698,0.0039710514,0.00094013923,0.014270653,0.000069856214],"about_ca_topic_score_codex":0.042697683,"about_ca_topic_score_gemma":0.047589965,"teacher_disagreement_score":0.042697683,"about_ca_system_score_codex":0.0040656077,"about_ca_system_score_gemma":0.0026115668,"threshold_uncertainty_score":0.08489829},"labels":[],"label_agreement":null},{"id":"W4253490213","doi":"10.5430/rwe.v11n6p13","title":"Green Marketing to Customer Need and Customer Satisfaction in Herbal City Community: Case of the North of Thailand","year":2020,"lang":"en","type":"article","venue":"Research in World Economy","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":"Customer satisfaction; Marketing; Business; Customer advocacy; Customer retention; Relationship marketing; Customer delight; Customer to customer; Marketing management; Service quality","score_opus":0.04949316930453947,"score_gpt":0.28711793256455964,"score_spread":0.2376247632600202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253490213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994476,0.00011949312,0.00008138759,0.00093933736,0.00000641363,0.000012183009,0.000015510326,0.0000023123332,0.0043474156],"genre_scores_gemma":[0.99861526,0.00021165756,0.000055727945,0.00010442276,0.0000072299295,0.000005919671,0.0000106512225,0.0000019858599,0.0009870274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923134,0.00037729042,0.000022531993,0.000044239663,0.00009202127,0.00023252414],"domain_scores_gemma":[0.9982364,0.00071960315,0.00026703844,0.00003674702,0.00022124166,0.0005189054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006109279,0.00022522664,0.00024640665,0.0007193941,0.005152789,0.0027210151,0.0004943756,0.0011897456,0.0062490483],"category_scores_gemma":[0.0013043694,0.00022253706,0.0004557773,0.0016730122,0.0013467689,0.001474833,0.0018186754,0.001723667,0.00024796894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006276885,0.0022591024,0.42350057,0.00061332446,0.00014105231,0.15689887,0.34545332,0.001539678,0.0026922398,0.013156408,0.007609173,0.045508597],"study_design_scores_gemma":[0.00002929667,0.00039746222,0.14851446,0.00016627893,0.000070429625,0.010815835,0.82496536,0.0040006284,0.0005721349,0.001961766,0.008440536,0.00006581858],"about_ca_topic_score_codex":0.02832736,"about_ca_topic_score_gemma":0.043189265,"teacher_disagreement_score":0.02832736,"about_ca_system_score_codex":0.0024516117,"about_ca_system_score_gemma":0.002442321,"threshold_uncertainty_score":0.0563249},"labels":[],"label_agreement":null},{"id":"W4283364885","doi":"10.5430/rwe.v13n1p29","title":"The Influence of Trade Facilitation on the Depth and Breadth of China's Agricultural Exports: Empirical Evidence Based on RCEP Countries","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global trade 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":"National Natural Science Foundation of China","keywords":"Trade facilitation; Openness to experience; China; Gravity model of trade; Agriculture; International trade; International economics; Business; Index (typography); Facilitation; Economics; Trade barrier; Geography; Psychology","score_opus":0.1933839131891501,"score_gpt":0.322075516384333,"score_spread":0.1286916031951829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283364885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951036,0.00058159366,0.00010707949,0.00014034787,0.0000032662583,0.0000050173003,0.00013412871,0.0000050893855,0.003919905],"genre_scores_gemma":[0.99927,0.0003190928,0.00004058996,0.000014726051,0.0000063787247,0.000002308787,0.000101245954,0.0000010514296,0.00024448152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996159,0.00007061402,0.000032139258,0.00007865987,0.00009551471,0.00010710268],"domain_scores_gemma":[0.99724066,0.00074498175,0.0011380028,0.00015965292,0.0003158702,0.00040082957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074552867,0.00026133977,0.00022741169,0.0015787542,0.00057966885,0.0009829168,0.000196452,0.00019013412,0.0025614386],"category_scores_gemma":[0.002218639,0.00009251689,0.00040194555,0.0022269685,0.00072626217,0.00091150665,0.0012852418,0.00030101786,0.00014204734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005247336,0.000022116317,0.9840859,0.00009331684,0.00011543924,0.00060198794,0.0010218152,0.0009963199,0.00058556773,0.0015417028,0.00035999893,0.0105233155],"study_design_scores_gemma":[0.0000043705877,0.00002063617,0.9965017,0.00003104217,0.000051800416,0.00007303511,0.0010357411,0.0005383908,0.00015189618,0.00029867017,0.0012872263,0.000005386065],"about_ca_topic_score_codex":0.014606251,"about_ca_topic_score_gemma":0.020401848,"teacher_disagreement_score":0.014606251,"about_ca_system_score_codex":0.00058893627,"about_ca_system_score_gemma":0.0009785328,"threshold_uncertainty_score":0.029042423},"labels":[],"label_agreement":null},{"id":"W4283370021","doi":"10.5430/rwe.v13n1p19","title":"Perennial Plants in Vietnam's Economy","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture and Rural Development Research","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":"Perennial plant; Agriculture; Agricultural economics; Economics; China; Production (economics); Productivity; Crop; Agroforestry; Business; Natural resource economics; Economy; Agronomy; Environmental science; Geography; Forestry; Economic growth; Macroeconomics","score_opus":0.06408759854923396,"score_gpt":0.3026739642815577,"score_spread":0.23858636573232372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283370021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94925517,0.0012354617,0.0008091858,0.0010860995,0.000028750503,0.00003173338,0.0020640546,0.000015607902,0.045473903],"genre_scores_gemma":[0.9923529,0.00090366375,0.0002511343,0.000030513535,0.000004943291,0.0000067740534,0.00033157732,0.0000025617687,0.006115927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992335,0.000013089521,0.0000034869704,0.000011879881,0.000024307172,0.00002387887],"domain_scores_gemma":[0.99986553,0.000027722235,0.000036576675,0.0000041976236,0.000034592504,0.000031371674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014061882,0.00010548629,0.00007552995,0.0005172549,0.00037626375,0.0011628635,0.00010320335,0.00008600804,0.00451949],"category_scores_gemma":[0.00028799954,0.00006939288,0.00008912171,0.0013899065,0.00018681212,0.00039038534,0.00029177841,0.00024109184,0.00020472777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008523619,0.00018139849,0.8017249,0.0007347662,0.00007714944,0.0042689936,0.010600611,0.0102712605,0.0034004434,0.06464996,0.010110077,0.09389514],"study_design_scores_gemma":[0.000009082641,0.000090737536,0.8655597,0.00019184405,0.000041514002,0.00058946654,0.02310983,0.009184856,0.0013157645,0.006310257,0.093574226,0.000022788334],"about_ca_topic_score_codex":0.048633013,"about_ca_topic_score_gemma":0.07767209,"teacher_disagreement_score":0.048633013,"about_ca_system_score_codex":0.0015364088,"about_ca_system_score_gemma":0.0012467598,"threshold_uncertainty_score":0.09669989},"labels":[],"label_agreement":null},{"id":"W4283378418","doi":"10.5430/rwe.v13n1p42","title":"Formulation and Implementation of Reproductive Health Policies in Ghana: Analysis of the Views of Key Community Leaders and State Technocrats","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Global Maternal and Child Health","field":"Medicine","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":"Technocracy; Family planning; Elite; State (computer science); Reproductive health; Economic growth; Developing country; Islam; Government (linguistics); Political science; Population; Medicine; Politics; Sociology; Economics; Environmental health; Law; Research methodology; Geography","score_opus":0.13934227479196395,"score_gpt":0.4602650151430824,"score_spread":0.32092274035111845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283378418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946681,0.0003600204,0.00023667638,0.0015474174,0.00001940662,0.000055376342,0.00002446962,0.000002354791,0.0030862018],"genre_scores_gemma":[0.99830675,0.00034759473,0.00016379199,0.00031043714,0.000009086837,0.00003763438,0.000011530059,0.0000030294957,0.0008101737],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9945602,0.00394804,0.00013420754,0.00013213995,0.00041766732,0.0008077734],"domain_scores_gemma":[0.9909711,0.0065357722,0.0010643075,0.00013689268,0.000487866,0.00080411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008586682,0.00022280288,0.0003538214,0.0009947793,0.004888156,0.0027381673,0.000642036,0.0008093879,0.001950761],"category_scores_gemma":[0.009129126,0.0003026469,0.00012523202,0.0011597505,0.0058119753,0.001411623,0.0022402583,0.0012420056,0.00010501978],"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":[0.000033308686,0.000038508744,0.011601662,0.00011234973,0.000004010408,0.00077057094,0.978018,0.000024660949,0.00066051,0.0014456221,0.0003874637,0.0069033033],"study_design_scores_gemma":[0.000004564478,0.00004499088,0.0062854216,0.000099702076,0.000002248645,0.00012568476,0.9879752,0.000040437935,0.00011746129,0.00017101048,0.005127877,0.000005438855],"about_ca_topic_score_codex":0.0087855505,"about_ca_topic_score_gemma":0.014533156,"teacher_disagreement_score":0.0087855505,"about_ca_system_score_codex":0.003926037,"about_ca_system_score_gemma":0.004324912,"threshold_uncertainty_score":0.04541129},"labels":[],"label_agreement":null},{"id":"W4283390599","doi":"10.5430/rwe.v13n1p1","title":"(Un-)affordability of Homes From a Resident’s Point of View in Two Mid-Sized Canadian Cities 30 Years Apart","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Subsidy; Point (geometry); Single-family detached home; Economics; Opting out; Demographic economics; Public economics; Business; Geography; Mathematics; Market economy","score_opus":0.06786200253221968,"score_gpt":0.2961927518955447,"score_spread":0.22833074936332504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283390599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977622,0.000050839146,0.00006437589,0.000096692485,0.0000017737449,0.0000044248045,0.00042532847,0.0000018187941,0.0015924793],"genre_scores_gemma":[0.9991856,0.000026115169,0.000054318345,0.000009268301,6.3194886e-7,0.0000017635148,0.00030891405,7.310384e-7,0.00041276801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951935,0.000039361086,0.00001528535,0.000066297194,0.000118570024,0.00024123458],"domain_scores_gemma":[0.9988955,0.00008271677,0.00021105172,0.000053490272,0.00035304556,0.00040415407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043615038,0.00019909882,0.0002160005,0.0008170681,0.0019719077,0.0011268208,0.0008164307,0.0002999316,0.002089849],"category_scores_gemma":[0.0014956304,0.00013150381,0.0003804588,0.0018329002,0.00096469786,0.00045887835,0.0010113978,0.00054757926,0.00012622698],"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":[0.0002504192,0.000095572046,0.97561204,0.000025073663,0.000057885063,0.00039442745,0.0043695006,0.001992283,0.00040695452,0.0038138798,0.001499336,0.011482649],"study_design_scores_gemma":[0.0000052808778,0.000025585032,0.98932904,0.000013582252,0.000016223397,0.0000724978,0.0065071885,0.0019392206,0.0001225358,0.00026376717,0.0016885987,0.000016528298],"about_ca_topic_score_codex":0.9843612,"about_ca_topic_score_gemma":0.9957884,"teacher_disagreement_score":0.018452698,"about_ca_system_score_codex":0.018452698,"about_ca_system_score_gemma":0.009285929,"threshold_uncertainty_score":0.13388431},"labels":[],"label_agreement":null},{"id":"W4283582861","doi":"10.5430/rwe.v13n1p56","title":"The Impact of Overseas M&amp;A on Performance Sensitivity of CEO Turnover: Evidence From Chinese Listed Companies","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Firm Innovation and 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":"Business; Endogeneity; Corporate governance; China; Competition (biology); Productivity; Product market; Product (mathematics); Accounting; Industrial organization; Finance; Economics; Market economy; Incentive; Economic growth","score_opus":0.16176329556516894,"score_gpt":0.3642799522818095,"score_spread":0.20251665671664054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283582861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990761,0.00016818113,0.000032974123,0.00011454309,0.0000025027196,0.0000028530267,0.00006626047,9.849749e-7,0.0005355969],"genre_scores_gemma":[0.9996793,0.00007323993,0.000011287985,0.000028910057,0.000006773692,0.0000015571054,0.00007795368,3.6002314e-7,0.00012055891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870884,0.00032947343,0.000152194,0.00023403151,0.0003282362,0.00024725607],"domain_scores_gemma":[0.9848898,0.003665206,0.0079902755,0.0006890821,0.0013187987,0.0014466692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021062754,0.00022805177,0.00023718982,0.001252931,0.0006282913,0.00075622776,0.0004090637,0.00041277922,0.0013435993],"category_scores_gemma":[0.006691684,0.00011385749,0.00039644024,0.0013821386,0.0006111571,0.00050873664,0.00079620775,0.00042708375,0.00013897139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054805758,0.000049610953,0.9955884,0.00002101313,0.000050021805,0.00011776652,0.0006505764,0.000120846584,0.00016209336,0.00012177188,0.00011599657,0.0029470692],"study_design_scores_gemma":[0.0000024956962,0.000032893044,0.9989335,0.000005710401,0.000023139086,0.000017054908,0.0005625987,0.00018664701,0.00006714053,0.00002693584,0.00013872134,0.0000032410194],"about_ca_topic_score_codex":0.034102414,"about_ca_topic_score_gemma":0.04093343,"teacher_disagreement_score":0.034102414,"about_ca_system_score_codex":0.00083184004,"about_ca_system_score_gemma":0.0009282566,"threshold_uncertainty_score":0.06780785},"labels":[],"label_agreement":null},{"id":"W4308842503","doi":"10.5430/rwe.v13n2p1","title":"Market-Based Reform, Industrial Restructuring and Economic Development of Cuba","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Cuban History and Society","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":"U.S. Department of State","keywords":"Restructuring; Government (linguistics); Sanctions; Economic policy; Tourism; Economics; Economic restructuring; Diversification (marketing strategy); Economic growth; Business; Political science; Finance","score_opus":0.1491655108105558,"score_gpt":0.36405255409498094,"score_spread":0.21488704328442515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308842503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7347464,0.011183485,0.0003612778,0.017897014,0.00011144804,0.000044433902,0.00032325936,0.000017520157,0.23531514],"genre_scores_gemma":[0.974021,0.0037586803,0.00015990667,0.00055134454,0.00002661045,0.000016668631,0.00012570122,0.0000057255656,0.021334365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997249,0.000044590415,0.000004819914,0.000014825128,0.00002183284,0.00018904131],"domain_scores_gemma":[0.99982196,0.000019902527,0.000047816266,0.000008099594,0.000042456937,0.00005978179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045097645,0.00015107651,0.0001204455,0.0014368034,0.0031465504,0.00391766,0.00026090682,0.00040932096,0.0044539073],"category_scores_gemma":[0.00038940078,0.000092620874,0.000106593405,0.001397677,0.0016100722,0.001293551,0.0012188149,0.00063004735,0.00021933453],"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":[0.00034404025,0.00031249432,0.08523959,0.00046721383,0.00003971268,0.0024116517,0.029852208,0.0017328731,0.0024353892,0.75214463,0.019982718,0.10503754],"study_design_scores_gemma":[0.000027007662,0.00006693302,0.22194839,0.000560996,0.000028598859,0.00038189784,0.055730972,0.0014675376,0.0014165073,0.018780071,0.69954956,0.000041528674],"about_ca_topic_score_codex":0.27924123,"about_ca_topic_score_gemma":0.33166218,"teacher_disagreement_score":0.27924123,"about_ca_system_score_codex":0.01422407,"about_ca_system_score_gemma":0.007130645,"threshold_uncertainty_score":0.55523175},"labels":[],"label_agreement":null},{"id":"W4312140037","doi":"10.5430/rwe.v13n2p14","title":"The Law of One Price and Its Violation: An Update on Empirical Advances","year":2022,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Energy, Environment, and Transportation Policies","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":"Economics; Convergence (economics); Commodity; Law of one price; Unit root; Empirical research; Econometrics; Identification (biology); Price level; Macroeconomics; Mid price; Mathematics; Market economy","score_opus":0.07770422405796402,"score_gpt":0.36363579765384774,"score_spread":0.2859315735958837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312140037","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":[0.01244502,0.90824974,0.013459612,0.034790553,0.0018869841,0.000032044147,0.00040043172,0.000046301822,0.028689308],"genre_scores_gemma":[0.15110914,0.82910144,0.0066567543,0.0049182815,0.0051145693,0.000037981365,0.00040359743,0.00008819477,0.002570053],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9952857,0.0013256749,0.00060405326,0.0012255157,0.0013355525,0.00022359908],"domain_scores_gemma":[0.88042134,0.100080505,0.0073285885,0.0032320493,0.008099798,0.0008378047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013540688,0.0011008447,0.0025973965,0.007730964,0.0017058126,0.008402701,0.002955051,0.0033332475,0.008250452],"category_scores_gemma":[0.051596817,0.0011684056,0.0014329043,0.01659597,0.01192735,0.016432116,0.0034077698,0.009579691,0.0014520447],"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":[0.00015513408,0.00027789152,0.01774717,0.007875246,0.0003051157,0.0009194999,0.0040107276,0.0025856597,0.00023882776,0.5348637,0.024543546,0.40647757],"study_design_scores_gemma":[0.000029051811,0.00018298291,0.042726252,0.024471154,0.000354979,0.001257568,0.0074713477,0.0066674193,0.000796694,0.44560444,0.47011077,0.0003273557],"about_ca_topic_score_codex":0.013196506,"about_ca_topic_score_gemma":0.0074052606,"teacher_disagreement_score":0.013540688,"about_ca_system_score_codex":0.004806273,"about_ca_system_score_gemma":0.0056251204,"threshold_uncertainty_score":0.07161087},"labels":[],"label_agreement":null},{"id":"W4318067614","doi":"10.5430/rwe.v13n2p32","title":"Effects of Road Infrastructure on Economic Growth in CEMAC Member Countries","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Fiscal Policy and 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":"Economics; Macroeconomics; Econometrics; International economics","score_opus":0.04874612212773098,"score_gpt":0.30656330321042374,"score_spread":0.25781718108269275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318067614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98791444,0.0011134119,0.00018635907,0.0006598968,0.000026297324,0.0000058273295,0.000541953,0.000023269273,0.009528554],"genre_scores_gemma":[0.99839133,0.00061666296,0.000054989465,0.00001918308,0.000011698134,0.0000041540834,0.0002838467,0.0000033337355,0.0006148977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992011,0.00031655453,0.00003325393,0.0000629985,0.000096696,0.00028940037],"domain_scores_gemma":[0.99798846,0.0005155835,0.00069837616,0.00012350336,0.00045930757,0.00021473938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008699707,0.0003233628,0.0003560399,0.0017567957,0.00046341238,0.002161177,0.00026430388,0.00039231376,0.00258621],"category_scores_gemma":[0.0041518686,0.00013140078,0.00039657688,0.0029087728,0.00066461705,0.0008143779,0.0017246593,0.00085360673,0.00028067728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076427555,0.00016015879,0.8703076,0.00022147993,0.0003039723,0.0019474934,0.00071995583,0.06581879,0.0009940389,0.019399244,0.0042590606,0.035103887],"study_design_scores_gemma":[0.00003157325,0.0001524005,0.96963733,0.00013828928,0.00015487414,0.00024074534,0.0039541787,0.013578362,0.001210886,0.0018077593,0.009062519,0.00003101429],"about_ca_topic_score_codex":0.028863978,"about_ca_topic_score_gemma":0.022537725,"teacher_disagreement_score":0.028863978,"about_ca_system_score_codex":0.0014238178,"about_ca_system_score_gemma":0.0009853082,"threshold_uncertainty_score":0.05739194},"labels":[],"label_agreement":null},{"id":"W4380355373","doi":"10.5430/rwe.v14n1p28","title":"Interest Rate Quells Unemployment but Not Inflation","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","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; Inflation (cosmology); Unemployment; Multiplicative function; Econometrics; Interest rate; Keynesian economics; Real interest rate; Inflation rate; Mathematics; Monetary policy; Monetary economics; Macroeconomics; Physics","score_opus":0.37329873597528285,"score_gpt":0.3646229890549945,"score_spread":0.00867574692028833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380355373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95369947,0.0017890588,0.0050198105,0.006206408,0.00052199606,0.00004040482,0.004293107,0.00024743966,0.028182361],"genre_scores_gemma":[0.9961712,0.0001308819,0.00017785752,0.00027036827,0.00015964848,0.000009650741,0.0008642825,0.000054245134,0.0021618975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994655,0.0021381932,0.0003632101,0.0014220086,0.0007129946,0.0007085922],"domain_scores_gemma":[0.91271216,0.05445644,0.021415371,0.005543515,0.0029786327,0.0028938607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058904095,0.00039430693,0.00069190963,0.001102619,0.0004987921,0.00226984,0.0005433386,0.00088443153,0.013869335],"category_scores_gemma":[0.059432317,0.00018921266,0.000867649,0.002133778,0.001184627,0.0014474053,0.0019388886,0.002740143,0.0036721549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055554503,0.000074790514,0.97145027,0.000074654905,0.0004029172,0.00016129657,0.0006135384,0.0011902666,0.00036500895,0.0065599843,0.0049820705,0.013569691],"study_design_scores_gemma":[0.000022417584,0.00014256898,0.98338807,0.000060034345,0.00021398568,0.00021052374,0.00076436345,0.0039607035,0.0005325121,0.0045635914,0.0061053424,0.000036034573],"about_ca_topic_score_codex":0.013180351,"about_ca_topic_score_gemma":0.008187913,"teacher_disagreement_score":0.013869335,"about_ca_system_score_codex":0.0006213327,"about_ca_system_score_gemma":0.00072011055,"threshold_uncertainty_score":0.046397567},"labels":[],"label_agreement":null},{"id":"W4381614638","doi":"10.5430/rwe.v14n1p35","title":"Study of the Economic Profitability of Soybean Production in the Collines Department in Benin: An Analysis Using the Direct Costing Method","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Agriculture and Rural Development Research","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":"","keywords":"Profitability index; Production (economics); Activity-based costing; Incentive; Subsidy; Business; Agriculture; Agricultural economics; Economics; Agricultural science; Marketing; Finance; Geography; Market economy; Microeconomics; Environmental science","score_opus":0.15871722868292987,"score_gpt":0.40235514824730967,"score_spread":0.2436379195643798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381614638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991399,0.0000574636,0.00018774667,0.000019163332,0.0000011337672,0.000012661441,0.000097760996,0.0000010636293,0.0004829785],"genre_scores_gemma":[0.9990221,0.00006528089,0.00024151526,0.0000035529874,0.00000274596,0.000013300628,0.00015525258,7.0788104e-7,0.0004953799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995553,0.00020837881,0.000016701868,0.000052904783,0.00008709283,0.000079642705],"domain_scores_gemma":[0.9985368,0.0009516102,0.00022713403,0.000023318178,0.00016555822,0.00009553088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006283997,0.0003079773,0.00024807986,0.0015852683,0.00040113195,0.00067245506,0.00038110948,0.0002703224,0.0015485693],"category_scores_gemma":[0.0011227962,0.0001317247,0.00026213334,0.0014800394,0.00033174353,0.00027488387,0.00038041273,0.00031304467,0.00016108772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017986522,0.00020977239,0.9823298,0.00005200224,0.000079827565,0.0007854676,0.00076556194,0.0036621958,0.0009844922,0.00042248846,0.00014930974,0.010379136],"study_design_scores_gemma":[0.00000651147,0.00019049222,0.98277307,0.000010954546,0.000022681967,0.00018763015,0.0031519758,0.012685635,0.00038289532,0.00009858875,0.00047711047,0.000012571624],"about_ca_topic_score_codex":0.03268686,"about_ca_topic_score_gemma":0.038591597,"teacher_disagreement_score":0.03268686,"about_ca_system_score_codex":0.00210556,"about_ca_system_score_gemma":0.0005091776,"threshold_uncertainty_score":0.0649932},"labels":[],"label_agreement":null},{"id":"W4382487899","doi":"10.5430/rwe.v14n1p12","title":"Exploring E-waste Management Practices in South African Organisations","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Recycling and Waste Management Techniques","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":"Obsolescence; Procurement; Purchasing; Business; Electronic waste; Sustainability; Marketing; Enforcement; Process (computing); Public relations; Operations management; Environmental resource management; Environmental economics; Engineering; Waste management; Economics; Computer science","score_opus":0.3106007872761721,"score_gpt":0.38125005061935024,"score_spread":0.07064926334317817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382487899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906708,0.0010172377,0.0005826082,0.0018927648,0.000012128802,0.000052222596,0.000021827118,0.00000415421,0.005746289],"genre_scores_gemma":[0.9959573,0.0018016249,0.0005272111,0.00019035775,0.00000481564,0.000036168934,0.000013440869,0.000003063247,0.0014659201],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9969797,0.0015249146,0.00020453257,0.00016714714,0.0005268459,0.00059691124],"domain_scores_gemma":[0.9957594,0.00201871,0.0012167374,0.00011723314,0.00048120623,0.00040671322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030706644,0.00034725046,0.0003114096,0.002468571,0.0064982143,0.004303871,0.0006592696,0.0012328576,0.0031576678],"category_scores_gemma":[0.0054539335,0.00039317337,0.00028450682,0.003544554,0.0028410314,0.0037992946,0.0041709016,0.0009842269,0.00028073936],"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":[0.00006824071,0.00020768294,0.060164034,0.0011182728,0.0000285372,0.004330421,0.883093,0.0003434616,0.0033766367,0.006336948,0.0008792771,0.04005352],"study_design_scores_gemma":[0.0000036531965,0.00009767463,0.025871838,0.0005946378,0.00000960513,0.00070614653,0.9485605,0.00017345246,0.0006129724,0.00069486856,0.022653664,0.000020947446],"about_ca_topic_score_codex":0.0046721045,"about_ca_topic_score_gemma":0.007528947,"teacher_disagreement_score":0.0064982143,"about_ca_system_score_codex":0.0029377984,"about_ca_system_score_gemma":0.0035606443,"threshold_uncertainty_score":0.021315277},"labels":[],"label_agreement":null},{"id":"W4382499361","doi":"10.5430/rwe.v14n1p1","title":"An Empirical Study on the Driving Factors of Financial Management Behavior of the Middle-Aged and Elderly Based on Logistic Model","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Advanced Technologies in Various Fields","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":"Investment (military); Financial risk; Finance; Herding; Logistic regression; Questionnaire; Financial management; Elderly people; Investment management; Middle age; Preference; Business; Financial compensation; Economics; Compensation (psychology); Psychology; Market liquidity; Computer science; Microeconomics; Sociology; Political science","score_opus":0.22503593576187544,"score_gpt":0.4017971490263128,"score_spread":0.17676121326443736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382499361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955415,0.00023435874,0.0024943112,0.00038345443,0.000018869105,0.00003258806,0.00025673988,0.000010138796,0.001027986],"genre_scores_gemma":[0.99763405,0.0003289463,0.0006430722,0.00003599241,0.000018179737,0.00003218926,0.00028448118,0.0000029901582,0.0010201703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924076,0.00030057674,0.000046255092,0.00011398817,0.0000710549,0.00022734856],"domain_scores_gemma":[0.99347913,0.0046539563,0.0007050167,0.00018630608,0.00045223837,0.00052325276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288462,0.0005346233,0.00060594024,0.0013879118,0.0007475947,0.0014121897,0.00083610223,0.00088295207,0.005242871],"category_scores_gemma":[0.0066052293,0.00033326985,0.0013698204,0.0014511601,0.00044370335,0.0014725457,0.0007954441,0.001236849,0.00058899546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020080422,0.0006024523,0.98067576,0.00007148228,0.00016020765,0.0006012524,0.0010910807,0.005392227,0.00011277048,0.0021940588,0.0010903542,0.007807537],"study_design_scores_gemma":[0.00009194147,0.00075627514,0.67366487,0.00018239288,0.0004851177,0.0007705935,0.01302661,0.30184177,0.0002955493,0.0049244673,0.0038719473,0.000088404726],"about_ca_topic_score_codex":0.017983684,"about_ca_topic_score_gemma":0.009813843,"teacher_disagreement_score":0.017983684,"about_ca_system_score_codex":0.00094686594,"about_ca_system_score_gemma":0.0011744463,"threshold_uncertainty_score":0.03575802},"labels":[],"label_agreement":null},{"id":"W4390298453","doi":"10.5430/rwe.v14n2p1","title":"Debt-to-GDP Ratio Is Increased by Unemployment, Stock Trading, and Inequality, Decreased by Inflation, and Unaffected by Interest Rates","year":2023,"lang":"en","type":"article","venue":"Research in World Economy","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; Monetary economics; Unemployment; Inflation (cosmology); Misery index; Real interest rate; Debt ratio; Stock (firearms); Monetary policy; Debt; Stock market; Interest rate; Macroeconomics","score_opus":0.19074873993368283,"score_gpt":0.35758168939076035,"score_spread":0.16683294945707752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390298453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828876,0.00035943682,0.0025178937,0.00090508076,0.00003090003,0.000009679532,0.0029392878,0.00008429987,0.010265837],"genre_scores_gemma":[0.9975688,0.00014037792,0.00044400335,0.00009291421,0.000015824762,0.000007561962,0.000824714,0.000007726862,0.0008980883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934703,0.00016381887,0.000051369705,0.00015807265,0.00019227731,0.0000874807],"domain_scores_gemma":[0.9946017,0.0020798515,0.002230051,0.00047886628,0.00038439056,0.00022504161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007231103,0.00022064128,0.00039902877,0.0008946331,0.00030743924,0.0011240457,0.0003538376,0.00038289573,0.0026776511],"category_scores_gemma":[0.0051353313,0.00015066017,0.00039791994,0.0011808943,0.0005215647,0.00048573583,0.00057063485,0.0007521538,0.000535933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005301444,0.0001694689,0.94488066,0.00010169448,0.00027036332,0.0006852627,0.00028617564,0.0020829432,0.00943032,0.011431355,0.0019175644,0.028213965],"study_design_scores_gemma":[0.000015491978,0.00011002207,0.9774319,0.00002181155,0.000079032485,0.0006074423,0.00021830892,0.006882337,0.0056868885,0.0044563827,0.004466447,0.000023856106],"about_ca_topic_score_codex":0.0058434084,"about_ca_topic_score_gemma":0.0039599543,"teacher_disagreement_score":0.0058434084,"about_ca_system_score_codex":0.00048734955,"about_ca_system_score_gemma":0.0005089629,"threshold_uncertainty_score":0.011618793},"labels":[],"label_agreement":null},{"id":"W4390486437","doi":"10.5430/rwe.v14n2p8","title":"Transnational Remittance Practices Among Latinos: Analyzing Differences Based on Nativity, Generational Status, and Social Capital","year":2024,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Migration, Ethnicity, and Economy","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":"Remittance; Dominance (genetics); Demographic economics; Socioeconomic status; Ethnic group; Geography; Sociology; Demography; Economic geography; Economics; Economic growth; Biology","score_opus":0.11502500228995274,"score_gpt":0.4064369272104896,"score_spread":0.2914119249205368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390486437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994802,0.0000431444,0.000038129303,0.000016415326,0.0000012286182,0.0000031410482,0.00005609976,9.509086e-7,0.00036078246],"genre_scores_gemma":[0.9996068,0.000051042836,0.000053345608,0.0000077864315,0.000002018527,0.0000061361866,0.00013965924,0.0000010031678,0.00013217288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973506,0.00013334649,0.000021289034,0.000035310528,0.000027275508,0.00004761399],"domain_scores_gemma":[0.99855167,0.0003314931,0.00060048373,0.00013929699,0.00012420966,0.00025288746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008576469,0.00016435055,0.00016136107,0.0008769388,0.00033810447,0.0005922133,0.00021639235,0.00015613757,0.0011839415],"category_scores_gemma":[0.00197418,0.0000793827,0.00024472486,0.00073088147,0.00036457097,0.0005110177,0.0007736709,0.00026914844,0.00012772666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026830648,0.000019246578,0.99742657,0.0000032245496,0.000020946647,0.000020495538,0.0010355469,0.000018753779,0.000112456175,0.00004178969,0.000023513809,0.0012505049],"study_design_scores_gemma":[7.2863196e-7,0.000030445794,0.9961738,0.0000048115216,0.0000073494466,0.000023354934,0.0034657333,0.00010564744,0.00004099145,0.000025584755,0.00011955451,0.0000020457587],"about_ca_topic_score_codex":0.013853834,"about_ca_topic_score_gemma":0.028579455,"teacher_disagreement_score":0.013853834,"about_ca_system_score_codex":0.00022953033,"about_ca_system_score_gemma":0.00021224507,"threshold_uncertainty_score":0.027546406},"labels":[],"label_agreement":null},{"id":"W4403581799","doi":"10.5430/rwe.v15n1p1","title":"Women Labor Force Participation and Its Impact on Economic Growth: A Study of Latin America and the Caribbean Region","year":2024,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Gender, Labor, and Family Dynamics","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":"Latin Americans; Caribbean region; Development economics; Caribbean island; Economics; Geography; Economic growth; Political science; Biology","score_opus":0.08375723658693805,"score_gpt":0.394466950776082,"score_spread":0.31070971418914395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403581799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992188,0.0013274654,0.00002166574,0.0012057329,0.000011555855,0.000016525537,0.00006296819,6.277823e-7,0.0051654647],"genre_scores_gemma":[0.9963575,0.002073655,0.000033055858,0.00035895707,0.0000125330625,0.00003271661,0.000049298196,0.0000020100038,0.0010802456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999308,0.00032373157,0.00003054464,0.000037046113,0.00006859527,0.00023213295],"domain_scores_gemma":[0.9989623,0.0004061984,0.00023630202,0.000026121512,0.00015258013,0.00021654826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017212001,0.00020395039,0.00030488582,0.0013879978,0.0026998369,0.0019224636,0.00039040862,0.0004868669,0.002585236],"category_scores_gemma":[0.002942898,0.0001930062,0.00027629908,0.0024192077,0.0011341517,0.001185692,0.0020085138,0.00063754414,0.00015404474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007861286,0.0003788921,0.67477936,0.00025868238,0.000052194933,0.00125578,0.29545543,0.000052668962,0.000506879,0.0022539604,0.001795593,0.023131961],"study_design_scores_gemma":[0.000007114794,0.000093017654,0.39280167,0.00044299176,0.000023756389,0.000268771,0.5934283,0.00006129889,0.0000696882,0.00021282308,0.012576928,0.000013617605],"about_ca_topic_score_codex":0.115510255,"about_ca_topic_score_gemma":0.20006418,"teacher_disagreement_score":0.115510255,"about_ca_system_score_codex":0.0018742702,"about_ca_system_score_gemma":0.002879984,"threshold_uncertainty_score":0.22967583},"labels":[],"label_agreement":null},{"id":"W4404931208","doi":"10.5430/rwe.v15n1p17","title":"A STAR-based Cointegration Analysis of Globalization and Air Transport in Türkiye","year":2024,"lang":"en","type":"article","venue":"Research in World Economy","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":"Université Mohammed V de Rabat","keywords":"Cointegration; Globalization; Economics; Econometrics; Star (game theory); Air transport; Macroeconomics; Financial economics; Physics; Market economy; Engineering; Astrophysics","score_opus":0.09048203322687837,"score_gpt":0.3351266946100908,"score_spread":0.24464466138321245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404931208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98538256,0.00034809628,0.010510965,0.00022005617,0.000024613917,0.000017545202,0.00027601043,0.000033244494,0.0031868485],"genre_scores_gemma":[0.9979341,0.00016189541,0.0009092572,0.000012659121,0.0000075519224,0.000009346116,0.00030783587,0.000004123933,0.0006532479],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968696,0.00011392397,0.000022994087,0.0000656469,0.0000342347,0.000076300974],"domain_scores_gemma":[0.9992124,0.00037778987,0.00015161604,0.00003823326,0.0001720304,0.000047907623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152673,0.00030823343,0.00055052846,0.0012388923,0.0004554422,0.0010181735,0.00032185265,0.00041029372,0.0030330129],"category_scores_gemma":[0.001829562,0.0001954651,0.0006290945,0.0016526419,0.00051816984,0.0013841295,0.00068824756,0.00046876955,0.00029997563],"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":[0.00080689526,0.00034433766,0.4638392,0.00035949875,0.00067266985,0.0034362958,0.0025826336,0.31171748,0.0042918073,0.13659747,0.0040556514,0.071296126],"study_design_scores_gemma":[0.000058625734,0.00049376505,0.23928045,0.0000663798,0.00028851425,0.00022256817,0.003725185,0.71941787,0.0014765562,0.029447675,0.005445874,0.00007657475],"about_ca_topic_score_codex":0.02846294,"about_ca_topic_score_gemma":0.01553025,"teacher_disagreement_score":0.02846294,"about_ca_system_score_codex":0.00069612946,"about_ca_system_score_gemma":0.0010172664,"threshold_uncertainty_score":0.05659455},"labels":[],"label_agreement":null},{"id":"W4405956059","doi":"10.5430/rwe.v15n1p25","title":"Study on the Impact of Digital Inclusive Finance on Residents' Cultural Consumption: Evidence From China","year":2024,"lang":"en","type":"article","venue":"Research in World Economy","topic":"FinTech, Crowdfunding, Digital Finance","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; Consumption (sociology); Business; Economics; Geography; Sociology; Social science","score_opus":0.140448470908122,"score_gpt":0.4077571388344161,"score_spread":0.26730866792629415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405956059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977697,0.00032885332,0.00010081262,0.0001867766,0.0000031152579,0.000005402375,0.00011663684,0.0000023222897,0.0014864475],"genre_scores_gemma":[0.9990676,0.00034066374,0.000059959562,0.000029687119,0.0000031238353,0.0000030179351,0.00008907983,7.770733e-7,0.0004062662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965084,0.000098042496,0.000023457113,0.000052569587,0.00008390876,0.000091194124],"domain_scores_gemma":[0.99833554,0.000482003,0.00052950875,0.0001361417,0.0003004405,0.00021643343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084004126,0.000242089,0.00031188765,0.0010943573,0.00083571754,0.0007955703,0.00036163727,0.00022968424,0.0024734559],"category_scores_gemma":[0.0017509968,0.000136784,0.00057103153,0.0018954696,0.00076061697,0.0007860306,0.00094982143,0.0004785807,0.00010652706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007303481,0.000175972,0.9760118,0.00013750666,0.0001755312,0.0006475442,0.003734117,0.0008709415,0.00027842406,0.0020630378,0.0006014447,0.015230714],"study_design_scores_gemma":[0.000008473715,0.00008540636,0.9874751,0.00006563563,0.00014066567,0.000073106705,0.0069024786,0.0018699324,0.00028474705,0.00031587324,0.0027635058,0.000014968334],"about_ca_topic_score_codex":0.14648458,"about_ca_topic_score_gemma":0.19211094,"teacher_disagreement_score":0.14648458,"about_ca_system_score_codex":0.002000618,"about_ca_system_score_gemma":0.002117327,"threshold_uncertainty_score":0.29126388},"labels":[],"label_agreement":null},{"id":"W4413225191","doi":"10.5430/rwe.v16n1p1","title":"The Impact of the Digital Economy on Carbon Emissions: Evidence From Machine Learning, Graph Neural Networks, and the EKC Hypothesis","year":2025,"lang":"en","type":"article","venue":"Research in World Economy","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":"Kuznets curve; Spillover effect; Panel data; Econometrics; Economics; Economies of agglomeration; Economic geography; Economy; Microeconomics","score_opus":0.050295705422318586,"score_gpt":0.2800281255829404,"score_spread":0.2297324201606218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413225191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910075,0.000764173,0.0023343498,0.00060521346,0.000014002758,0.000013895696,0.0007522025,0.00003103929,0.0044774828],"genre_scores_gemma":[0.999015,0.00028886838,0.00018587035,0.00002639495,0.0000055518894,0.0000023736545,0.0003298546,0.0000021593992,0.00014399565],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994711,0.00019578416,0.00003396192,0.00011969392,0.00008195387,0.0000974429],"domain_scores_gemma":[0.9951593,0.0023898755,0.0013692636,0.00040901,0.00046113174,0.00021144973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012664481,0.00033985992,0.00035449179,0.0012482116,0.00032429516,0.0009100903,0.00048071038,0.00035627233,0.002038784],"category_scores_gemma":[0.0054911855,0.00012720303,0.0005980634,0.002045833,0.0012340012,0.0015890532,0.00094285584,0.00051577034,0.00016747571],"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":[0.00026009584,0.00012470814,0.88523394,0.00017519941,0.00047682444,0.00033926955,0.00018864161,0.07329236,0.0004050094,0.009317247,0.0011808735,0.029005788],"study_design_scores_gemma":[0.000052291416,0.0001125909,0.83025116,0.000081752725,0.00048135288,0.00011582586,0.0008772657,0.15102382,0.0011762702,0.012072722,0.003711873,0.000043057986],"about_ca_topic_score_codex":0.081183374,"about_ca_topic_score_gemma":0.08092211,"teacher_disagreement_score":0.081183374,"about_ca_system_score_codex":0.0012491483,"about_ca_system_score_gemma":0.0008248778,"threshold_uncertainty_score":0.16142166},"labels":[],"label_agreement":null}]}