{"meta":{"query_hash":"0635369afcf5","filters":{"venue":"Economies"},"cohort_total":40,"direct_labels_cover":0,"predictions_cover":40,"exported":40,"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/0635369afcf5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economies"},"results":[{"id":"W2053234040","doi":"10.3390/economies1030049","title":"The Changing Effectiveness of Monetary Policy","year":2013,"lang":"en","type":"article","venue":"Economies","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Monetary policy; Financial crisis; Idle; World economy; Macroeconomics; Political science; Geography; Computer science","score_opus":0.027398363289589164,"score_gpt":0.210451493769541,"score_spread":0.18305313047995184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053234040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72985727,0.04169895,0.0047798874,0.08659475,0.0010766061,0.000032329815,0.0009703899,0.00012314654,0.13486665],"genre_scores_gemma":[0.9926031,0.0039189286,0.00044344878,0.0013576781,0.00039419488,0.000008055483,0.00010410586,0.000026227868,0.001144325],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98961204,0.005235813,0.0006238681,0.0009218889,0.0024698218,0.001136604],"domain_scores_gemma":[0.97480416,0.011809806,0.0064015994,0.0014291059,0.0042092055,0.0013460565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012799078,0.00034506942,0.00064340374,0.003553127,0.0009551684,0.0057701655,0.0009289551,0.001971069,0.0028225002],"category_scores_gemma":[0.060026843,0.00028912368,0.00042336358,0.002781643,0.0030755964,0.0036967676,0.0016144757,0.0027852948,0.00071686984],"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":[0.001551991,0.0003856092,0.25793937,0.00086782523,0.0007191656,0.00069579255,0.0061248583,0.013254265,0.002939936,0.2558938,0.025736718,0.43389073],"study_design_scores_gemma":[0.00014290508,0.00043623234,0.7805658,0.0014238099,0.00021643106,0.00047440897,0.007798871,0.0072634565,0.0040274668,0.065719835,0.13179143,0.00013939339],"about_ca_topic_score_codex":0.0065489123,"about_ca_topic_score_gemma":0.0034212715,"teacher_disagreement_score":0.012799078,"about_ca_system_score_codex":0.005211929,"about_ca_system_score_gemma":0.0019854975,"threshold_uncertainty_score":0.06768882},"labels":[],"label_agreement":null},{"id":"W2174688447","doi":"10.3390/economies3040216","title":"Catastrophic Economic Consequences of Healthcare Payments: Effects on Poverty Estimates in Egypt, Jordan, and Palestine","year":2015,"lang":"en","type":"article","venue":"Economies","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Economic Research Forum","keywords":"Poverty; Payment; Health care; Extreme poverty; Palestine; Business; Direct Payments; Basic needs; Economics; Development economics; Economic growth; Socioeconomics; Finance","score_opus":0.03777142734113893,"score_gpt":0.2621628684173779,"score_spread":0.22439144107623898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174688447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865097,0.00013919847,0.000089869354,0.00016506236,0.0000010269559,0.0000052613727,0.00040702714,0.000001431668,0.0005400867],"genre_scores_gemma":[0.99919075,0.0001612994,0.00008603569,0.000020632915,0.0000022315471,0.0000066046964,0.00039642185,7.6372703e-7,0.00013533933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945956,0.00024918604,0.000035781486,0.0000378204,0.00008642838,0.00013129115],"domain_scores_gemma":[0.9981943,0.00059808086,0.00068402383,0.00006740972,0.00032443553,0.00013191527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013542558,0.00017771074,0.00021345605,0.0012954065,0.00022664366,0.00072619505,0.00025880366,0.00026526672,0.0008771711],"category_scores_gemma":[0.0036566728,0.00014816786,0.00031305247,0.0022366503,0.00033125334,0.00067027035,0.0012849658,0.00039886482,0.000102254606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001148676,0.000064080734,0.9852378,0.000038716033,0.00008950898,0.00025139758,0.0010368846,0.0036892823,0.000076849305,0.000913715,0.0007073822,0.0077795754],"study_design_scores_gemma":[0.0000075094313,0.000058805235,0.9852873,0.000047674504,0.00003080162,0.00012436562,0.0064507914,0.0060926867,0.00024176709,0.00063172315,0.0010160968,0.000010413432],"about_ca_topic_score_codex":0.033229128,"about_ca_topic_score_gemma":0.030433238,"teacher_disagreement_score":0.033229128,"about_ca_system_score_codex":0.0012720404,"about_ca_system_score_gemma":0.0007423547,"threshold_uncertainty_score":0.06607139},"labels":[],"label_agreement":null},{"id":"W2767714678","doi":"10.3390/economies5040041","title":"Urban Climate Vulnerability in Cambodia: A Case Study in Koh Kong Province","year":2017,"lang":"en","type":"article","venue":"Economies","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Poverty; Vulnerability (computing); Index (typography); Poverty threshold; Socioeconomics; Geography; Development economics; Inequality; Extreme poverty; Economics; Demographic economics; Economic growth","score_opus":0.05513405450489045,"score_gpt":0.2887092793738549,"score_spread":0.23357522486896443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767714678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833727,0.00014660422,0.000059159724,0.00009908495,0.000002078337,0.000031404845,0.00006524889,0.000001211226,0.001258016],"genre_scores_gemma":[0.99893564,0.00034698227,0.00010357678,0.000036832425,0.000001956856,0.000018525207,0.0000452474,0.0000010656687,0.00051013794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965274,0.000106774656,0.000015931415,0.000024070428,0.000025139927,0.00017526839],"domain_scores_gemma":[0.99963534,0.000110578636,0.00007203618,0.000024856748,0.00004267266,0.00011446367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003570171,0.00040738354,0.00029164492,0.0009777043,0.0028662973,0.0009324072,0.00057182886,0.00069383485,0.0015209987],"category_scores_gemma":[0.0005974777,0.0002771412,0.00028581236,0.002192249,0.0012179015,0.0004832211,0.0014955578,0.0004233057,0.00011726033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024559093,0.00046656193,0.708605,0.0006383462,0.0001238011,0.14740537,0.11292939,0.0032032495,0.0031117436,0.002840022,0.0018286606,0.01860233],"study_design_scores_gemma":[0.000016081714,0.00024453388,0.5887594,0.00024654748,0.00006553119,0.0080227805,0.39475015,0.0022485578,0.00069856946,0.00032119165,0.004587191,0.00003943375],"about_ca_topic_score_codex":0.17378323,"about_ca_topic_score_gemma":0.24697457,"teacher_disagreement_score":0.17378323,"about_ca_system_score_codex":0.0036302286,"about_ca_system_score_gemma":0.0016065829,"threshold_uncertainty_score":0.34554344},"labels":[],"label_agreement":null},{"id":"W2791248575","doi":"10.3390/economies6010008","title":"The Impact of Fiscal Decentralization on Accountability, Economic Freedom, and Political and Civil Liberties in the Americas","year":2018,"lang":"en","type":"article","venue":"Economies","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decentralization; Accountability; Civil liberties; Politics; Autonomy; Political science; Democracy; Economics; Development economics; Public administration; Political economy; Law","score_opus":0.02025608750630811,"score_gpt":0.3206849149536483,"score_spread":0.30042882744734023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791248575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898099,0.0002773656,0.00014201888,0.0010857588,0.0000066644184,0.000005527885,0.000097012446,0.000005415282,0.008570375],"genre_scores_gemma":[0.99948883,0.0000984068,0.00003075588,0.0000314608,0.0000067845867,0.0000017883129,0.000037994818,9.592437e-7,0.0003029854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888104,0.0003727263,0.00004175694,0.00007338489,0.00015998037,0.00047100955],"domain_scores_gemma":[0.9910885,0.0023839283,0.0038880575,0.00034346725,0.00087302533,0.0014230296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017763975,0.00010621748,0.00030032016,0.00093280483,0.0008679612,0.0011571335,0.00021202015,0.00019836816,0.0031431287],"category_scores_gemma":[0.0076845856,0.000086089516,0.00029066365,0.0011178236,0.00199296,0.0008472517,0.0018240017,0.0010232491,0.000092328904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034504608,0.0003533836,0.9431508,0.000065871915,0.00014264598,0.00025004367,0.0024516871,0.0060871625,0.00041750658,0.026904823,0.001431543,0.018399516],"study_design_scores_gemma":[0.000026385735,0.000057319805,0.98897713,0.000032378954,0.000035025296,0.000042969667,0.0022788865,0.0008615881,0.00020382016,0.0044012084,0.0030738132,0.000009399962],"about_ca_topic_score_codex":0.05407321,"about_ca_topic_score_gemma":0.07972357,"teacher_disagreement_score":0.05407321,"about_ca_system_score_codex":0.0032926789,"about_ca_system_score_gemma":0.002928015,"threshold_uncertainty_score":0.107516944},"labels":[],"label_agreement":null},{"id":"W2806335914","doi":"10.3390/economies6020035","title":"Export-Led Growth, Global Integration, and the External Balance of Small Island Developing States","year":2018,"lang":"en","type":"article","venue":"Economies","topic":"Island Studies and Pacific Affairs","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Small open economy; Openness to experience; Economics; Current account; Developing country; Capital (architecture); Balance of trade; External debt; Capital account; Economy; International economics; Macroeconomics; Debt; Geography; Economic growth","score_opus":0.01367106718987621,"score_gpt":0.25122023474024047,"score_spread":0.23754916755036426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806335914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92783386,0.00031723693,0.007408939,0.0012887439,0.000016152171,0.000030563166,0.00030500494,0.000039686794,0.0627599],"genre_scores_gemma":[0.99623835,0.00028347265,0.00042319956,0.000024470111,0.0000037426632,0.000012489449,0.000072877156,0.000005678199,0.002935617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99990857,0.00003413007,0.0000039650236,0.000014454904,0.000009079206,0.00002985757],"domain_scores_gemma":[0.99977106,0.000066596804,0.000058229758,0.00001589604,0.00003216734,0.000055941575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003461041,0.00030839982,0.00029225866,0.0004326954,0.000639469,0.0027335004,0.00041746895,0.00051561574,0.00423219],"category_scores_gemma":[0.0011599135,0.00019907908,0.0004238597,0.0006963425,0.00098658,0.0013911467,0.0011658192,0.00076474296,0.00018244157],"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":[0.00013219156,0.000110575485,0.045158416,0.000056561326,0.00006009633,0.00054217584,0.0011792234,0.6124634,0.0007217976,0.32565176,0.0015989393,0.012324923],"study_design_scores_gemma":[0.00007277439,0.00010109323,0.028746977,0.00010869298,0.000094102536,0.00011237418,0.0025502678,0.81991965,0.00039388746,0.13940889,0.008445673,0.00004569035],"about_ca_topic_score_codex":0.09115618,"about_ca_topic_score_gemma":0.08585743,"teacher_disagreement_score":0.09115618,"about_ca_system_score_codex":0.0029796145,"about_ca_system_score_gemma":0.0012810578,"threshold_uncertainty_score":0.18125117},"labels":[],"label_agreement":null},{"id":"W2902467282","doi":"10.3390/economies6040064","title":"Contextualizing Narratives of Economic Growth and Navigating Problematic Data: Economic Trends in Ethiopia (1999–2017)","year":2018,"lang":"en","type":"article","venue":"Economies","topic":"Economic Growth and Development","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Narrative; Consistency (knowledge bases); China; Agriculture; Looming; Debt; Economy; Economics; Economic data; Political science; Development economics; Macroeconomics; Geography; Computer science; Psychology","score_opus":0.04015072146231037,"score_gpt":0.29493814038534666,"score_spread":0.2547874189230363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902467282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94162345,0.0037451598,0.004451945,0.020740107,0.0002483138,0.0001462603,0.009281669,0.000026836515,0.019736283],"genre_scores_gemma":[0.9859158,0.0031528198,0.0045450944,0.0008636922,0.00006487546,0.00017001334,0.0035444591,0.00004899514,0.0016942469],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99361444,0.0041481433,0.0006324328,0.00039243395,0.0007056112,0.0005070156],"domain_scores_gemma":[0.9562464,0.033377927,0.004694027,0.0016292976,0.0034139967,0.00063842983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01630706,0.00047209553,0.00033228955,0.005481068,0.004168322,0.008076292,0.0009786731,0.0012870322,0.001988461],"category_scores_gemma":[0.04507073,0.00037466487,0.0002193979,0.010907038,0.004607575,0.011222592,0.0050557437,0.0025651483,0.00023198396],"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":[0.00015243633,0.000056166613,0.07803172,0.0007970223,0.000047788148,0.0023147871,0.80562156,0.0012077922,0.00069835084,0.06333481,0.015672274,0.03206538],"study_design_scores_gemma":[0.000003914635,0.00001172559,0.015429389,0.0012612516,0.000014784135,0.0003490299,0.85489845,0.0006599905,0.0008195523,0.0073294165,0.11918168,0.000040889776],"about_ca_topic_score_codex":0.026730346,"about_ca_topic_score_gemma":0.03698404,"teacher_disagreement_score":0.026730346,"about_ca_system_score_codex":0.0067054983,"about_ca_system_score_gemma":0.004784338,"threshold_uncertainty_score":0.08624101},"labels":[],"label_agreement":null},{"id":"W2913070268","doi":"10.3390/economies7010007","title":"Market Efficiency and News Dynamics: Evidence from International Equity Markets","year":2019,"lang":"en","type":"article","venue":"Economies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Drexel University","keywords":"Economics; Equity (law); Volatility (finance); Stock market; Financial economics; Econometrics; Stock (firearms); Null hypothesis; Conditional variance; Market efficiency; Efficient-market hypothesis; Autoregressive conditional heteroskedasticity; Monetary economics; Geography; Political science","score_opus":0.02380518103902852,"score_gpt":0.24253657365253375,"score_spread":0.21873139261350524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913070268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97976905,0.0018328964,0.0016533593,0.0008253783,0.0000198829,0.000020525322,0.0005056288,0.000017716322,0.015355578],"genre_scores_gemma":[0.9984366,0.0007216276,0.0001369449,0.00004615713,0.000046136796,0.0000034602826,0.00036453642,0.000005766068,0.00023875621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991761,0.00024375132,0.000112337366,0.0001347304,0.00021321994,0.000119822],"domain_scores_gemma":[0.94570166,0.031219954,0.017636113,0.002420491,0.0019437755,0.0010779891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032410966,0.00028845487,0.00047555252,0.002282107,0.00040391582,0.0025456438,0.0004399507,0.00060337776,0.0045916964],"category_scores_gemma":[0.032840393,0.00020583777,0.00042766755,0.0032893505,0.0016513586,0.0028820566,0.000991923,0.00072688435,0.0004188831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076915725,0.00036231382,0.9157402,0.00026948666,0.00068746496,0.00081790437,0.0010997341,0.0042746346,0.0011111455,0.024318052,0.0016770277,0.048872896],"study_design_scores_gemma":[0.00014776249,0.00023775593,0.970543,0.0001227176,0.00040817057,0.00055691483,0.0012618274,0.008488665,0.0017161318,0.011240277,0.005228593,0.000048187052],"about_ca_topic_score_codex":0.0033522649,"about_ca_topic_score_gemma":0.0024896814,"teacher_disagreement_score":0.0045916964,"about_ca_system_score_codex":0.0003190326,"about_ca_system_score_gemma":0.00031183832,"threshold_uncertainty_score":0.017140746},"labels":[],"label_agreement":null},{"id":"W2962441376","doi":"10.3390/economies7030072","title":"Evaluation of a Population’s Migration Potential as an Important Component of Migration Policy","year":2019,"lang":"en","type":"article","venue":"Economies","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pace; Population; Wage; Demographic economics; Sample (material); Internal migration; Working population; Social policy; Work (physics); Development economics; Economics; Geography; Economic growth; Labour economics; Developing country; Sociology; Demography; Market economy","score_opus":0.028725518488183045,"score_gpt":0.32456107570023146,"score_spread":0.2958355572120484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962441376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9441838,0.0014344249,0.010434295,0.0051050554,0.000100062716,0.00042938621,0.0008269618,0.000041686657,0.037444267],"genre_scores_gemma":[0.99553275,0.0003824121,0.0030827809,0.00007501434,0.000017153416,0.000107575106,0.00011199597,0.0000033623585,0.0006869198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973126,0.0015266223,0.00017040774,0.00016995348,0.0005190419,0.0003013039],"domain_scores_gemma":[0.99376017,0.0024866448,0.001609219,0.00027551528,0.001421125,0.00044728222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006912769,0.00025452522,0.00035937416,0.0018210808,0.00091444637,0.0026712664,0.00052136066,0.00042827113,0.0018365285],"category_scores_gemma":[0.012443164,0.00011832774,0.00032729367,0.0014476101,0.0008798447,0.0021947445,0.0016831935,0.00071256346,0.00012560289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014744567,0.00049412216,0.7861109,0.0005955543,0.00029306833,0.00022141755,0.0067817215,0.009418241,0.0007746819,0.053886477,0.0021868828,0.13908954],"study_design_scores_gemma":[0.000011054666,0.0009556102,0.8747895,0.00086982496,0.00023221484,0.00012904884,0.058929443,0.02104984,0.0012541161,0.01990698,0.02180455,0.000067904875],"about_ca_topic_score_codex":0.0053976667,"about_ca_topic_score_gemma":0.013592337,"teacher_disagreement_score":0.006912769,"about_ca_system_score_codex":0.0028996663,"about_ca_system_score_gemma":0.0035348078,"threshold_uncertainty_score":0.036558628},"labels":[],"label_agreement":null},{"id":"W3008790806","doi":"10.3390/economies8010016","title":"A Climate-Economy Policy Model for Barbados","year":2020,"lang":"en","type":"article","venue":"Economies","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; International Development Research Centre; Stockholm Environment Institute","keywords":"Climate change; Tourism; Extreme weather; Small Island Developing States; Work (physics); Economics; Storm; Debt; Natural resource economics; Macroeconomics; Geography; Engineering","score_opus":0.04331753586083004,"score_gpt":0.2534403291900122,"score_spread":0.21012279332918216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008790806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56968254,0.0022369719,0.092586175,0.010470217,0.000526328,0.00033130604,0.011200395,0.0006728468,0.31229332],"genre_scores_gemma":[0.9513223,0.0009508001,0.008988141,0.00022093729,0.000040924948,0.00027541546,0.0020659224,0.00006799933,0.036067516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977416,0.00008623737,0.000010573094,0.000050299703,0.000023366716,0.000055391974],"domain_scores_gemma":[0.99964976,0.0001086673,0.000050330007,0.000016498316,0.00009472953,0.00007999661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037588287,0.00059298344,0.00079213706,0.0005637132,0.0015380342,0.0018804345,0.001555385,0.0020977417,0.0103828935],"category_scores_gemma":[0.0011174728,0.00042712787,0.00072665507,0.00076483807,0.00081646297,0.00077977614,0.0016916365,0.0012739459,0.0007349626],"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":[0.00006294503,0.000020171927,0.0009997893,0.000025911444,0.000017113569,0.00009522362,0.0000758479,0.97106296,0.00019366923,0.025223456,0.0012193231,0.0010035534],"study_design_scores_gemma":[0.00010362954,0.000041441166,0.0013241679,0.000038112674,0.00003311454,0.000026618787,0.00029189093,0.98191637,0.00008493037,0.008242185,0.00786647,0.000031047177],"about_ca_topic_score_codex":0.44222483,"about_ca_topic_score_gemma":0.29769012,"teacher_disagreement_score":0.44222483,"about_ca_system_score_codex":0.0048901457,"about_ca_system_score_gemma":0.0050269733,"threshold_uncertainty_score":0.8793016},"labels":[],"label_agreement":null},{"id":"W3017331003","doi":"10.3390/economies8020031","title":"Strategic Alliances in Firm-Centric and Collective Contexts: Implications for Indigenous Entrepreneurship","year":2020,"lang":"en","type":"article","venue":"Economies","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"First Nations University of Canada; University of Regina","funders":"","keywords":"Indigenous; Entrepreneurship; Realm; Alliance; Sustainability; Work (physics); General partnership; Knowledge management; Public relations; Sociology; Business; Political science; Ecology; Engineering; Computer science","score_opus":0.04750061916001821,"score_gpt":0.2456169444733498,"score_spread":0.1981163253133316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017331003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48981604,0.16610543,0.03385253,0.074381255,0.0011157934,0.00026336417,0.00013222093,0.00007751436,0.2342559],"genre_scores_gemma":[0.96880394,0.02518041,0.003340348,0.0008093404,0.00010475706,0.000082270715,0.000018070928,0.000006343117,0.001654473],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9951599,0.0029200863,0.00027466656,0.00043041667,0.0005874089,0.00062742],"domain_scores_gemma":[0.98277974,0.01239669,0.0021961657,0.0007768294,0.0009751924,0.00087530847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010627202,0.0002554096,0.00073819916,0.0038123818,0.00441664,0.008323206,0.0012949852,0.0021335678,0.0038471627],"category_scores_gemma":[0.017076487,0.00026597633,0.00060719793,0.0060156784,0.018269973,0.017627131,0.0074727964,0.0018813352,0.00019686791],"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":[0.000027537297,0.000067851106,0.010585103,0.004027179,0.00007867939,0.0016601852,0.25518164,0.0006547104,0.0004937943,0.6366648,0.0010221307,0.08953647],"study_design_scores_gemma":[0.000010611329,0.00008259789,0.018640842,0.0057480726,0.00008383673,0.0012438861,0.52332866,0.0008593181,0.00036664816,0.36725947,0.08231936,0.000056702964],"about_ca_topic_score_codex":0.006916623,"about_ca_topic_score_gemma":0.014126371,"teacher_disagreement_score":0.010627202,"about_ca_system_score_codex":0.0038755436,"about_ca_system_score_gemma":0.010142502,"threshold_uncertainty_score":0.05620265},"labels":[],"label_agreement":null},{"id":"W3082291758","doi":"10.3390/economies8030071","title":"Revenue Sharing and Collusive Behavior in the Major League Baseball Posting System","year":2020,"lang":"en","type":"article","venue":"Economies","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"League; Bidding; Revenue sharing; Revenue; Compromise; Business; Club; Football; Advertising; Payment; Profit (economics); Profit sharing; Collusion; Economics; Microeconomics; Marketing; Finance; Industrial organization; Political science","score_opus":0.040399452493786375,"score_gpt":0.2103760068768388,"score_spread":0.16997655438305243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082291758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93526816,0.00019082904,0.03510543,0.0007189735,0.000021515407,0.00014756438,0.00011020634,0.000055101405,0.02838221],"genre_scores_gemma":[0.99729854,0.000031646523,0.0011786332,0.000024397603,0.000009878114,0.0000156313,0.000022285738,0.0000057157154,0.0014133373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.994911,0.0026671563,0.0002631944,0.0005587542,0.0007018639,0.00089805113],"domain_scores_gemma":[0.9807278,0.008331674,0.0066009928,0.0021541838,0.0012824219,0.00090300414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059727016,0.00032803434,0.0005636794,0.00090287323,0.0011286568,0.0029542726,0.0012126722,0.00090383424,0.0058766822],"category_scores_gemma":[0.022230782,0.0003758753,0.00046606016,0.00070347247,0.0023008054,0.0027669417,0.0020563889,0.0014861936,0.00057577586],"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":[0.00088632444,0.0007929186,0.12532824,0.00011219132,0.00016704443,0.0014686963,0.004175888,0.06415383,0.0062259184,0.725304,0.0038812559,0.067503706],"study_design_scores_gemma":[0.00028742323,0.0006834014,0.08821506,0.0000994081,0.00009961898,0.0014873459,0.005197711,0.44617298,0.004858291,0.43956172,0.013105796,0.00023122875],"about_ca_topic_score_codex":0.0047049234,"about_ca_topic_score_gemma":0.0022401677,"teacher_disagreement_score":0.0059727016,"about_ca_system_score_codex":0.002325133,"about_ca_system_score_gemma":0.0010730072,"threshold_uncertainty_score":0.031587005},"labels":[],"label_agreement":null},{"id":"W3109294849","doi":"10.3390/economies9020047","title":"Climate Justice in an Intergenerational Sustainability Framework: A Stochastic OLG Model","year":2021,"lang":"en","type":"article","venue":"Economies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Oxford; Università degli Studi di Milano; University of Victoria; Aarhus Universitet","keywords":"Intergenerational equity; Overlapping generations model; Economics; Sustainability; Consumption (sociology); Equity (law); Status quo; Sustainable development; Economic Justice; Corporate governance; Public economics; Microeconomics; Sociology; Political science; Market economy; Ecology; Finance","score_opus":0.09525971252954274,"score_gpt":0.3058453953514101,"score_spread":0.21058568282186735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109294849","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":[0.38568324,0.002923309,0.46958593,0.021290265,0.0005825135,0.00019040168,0.0035367252,0.00041877487,0.11578885],"genre_scores_gemma":[0.9505548,0.0012223424,0.011444334,0.0005994816,0.00017938309,0.00016115075,0.0005106475,0.00007786025,0.03525003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943584,0.00026637898,0.000016703741,0.000099781275,0.000057329413,0.00012404287],"domain_scores_gemma":[0.998409,0.0008203348,0.00029478152,0.00007458378,0.00016531804,0.00023606035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015908814,0.00080501474,0.0009292752,0.00073519483,0.0008803768,0.0021564027,0.0021285983,0.0028731893,0.007688652],"category_scores_gemma":[0.0038525243,0.00041343964,0.0010602049,0.0009331884,0.0016472184,0.0019863462,0.0018185594,0.0020697392,0.0007434474],"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":[0.000070910646,0.0000943371,0.0033848058,0.000055530953,0.00005539137,0.00040373148,0.00032177262,0.5157454,0.00027461228,0.47068125,0.0044145877,0.004497688],"study_design_scores_gemma":[0.000037741884,0.000033917087,0.0008337228,0.000023444865,0.00003241766,0.000074420066,0.00013843167,0.84292495,0.000035988873,0.15281653,0.0030250272,0.000023405837],"about_ca_topic_score_codex":0.022841947,"about_ca_topic_score_gemma":0.012934577,"teacher_disagreement_score":0.022841947,"about_ca_system_score_codex":0.002258697,"about_ca_system_score_gemma":0.0013276094,"threshold_uncertainty_score":0.045418024},"labels":[],"label_agreement":null},{"id":"W3124354531","doi":"10.3390/economies6040063","title":"Macroeconomic and Distributional Impacts of Jatropha Based Biodiesel in Mali","year":2018,"lang":"en","type":"article","venue":"Economies","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"World Bank Group","keywords":"Jatropha; Biodiesel; Computable general equilibrium; Jatropha curcas; Economics; Agriculture; Agricultural economics; Agroforestry; Business; Natural resource economics; Environmental science; Biotechnology; Biology; Ecology; Microeconomics","score_opus":0.009848143317960106,"score_gpt":0.25017490641286216,"score_spread":0.24032676309490206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124354531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341387,0.0002252267,0.0004020119,0.0016241518,0.000008682562,0.0000091087195,0.00056667736,0.0000151374015,0.003735202],"genre_scores_gemma":[0.99895597,0.00020458963,0.000078049634,0.000033201253,0.0000036992908,0.000005715755,0.00016158308,0.000002145224,0.00055500004],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983895,0.000051793395,0.000006332707,0.000017542487,0.000014718929,0.00007072596],"domain_scores_gemma":[0.9996141,0.000120822326,0.00011864393,0.000014000212,0.000056005385,0.00007630204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029352194,0.00021613976,0.00022591143,0.0004094285,0.00038492656,0.0014503987,0.00032985164,0.00042280863,0.0027790533],"category_scores_gemma":[0.0008265182,0.00013617598,0.00041078412,0.0006914381,0.0004098477,0.00080374425,0.0010481337,0.00062463636,0.00013780527],"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":[0.0007554074,0.00041789134,0.5343544,0.00027575318,0.00028808016,0.0058313794,0.0012888418,0.38678086,0.004376055,0.047731537,0.005653905,0.01224597],"study_design_scores_gemma":[0.0001085424,0.00038158204,0.5499608,0.00013873876,0.00023314955,0.0004683197,0.008999798,0.4195443,0.0028515102,0.010076858,0.007140526,0.000095863914],"about_ca_topic_score_codex":0.037016585,"about_ca_topic_score_gemma":0.038171846,"teacher_disagreement_score":0.037016585,"about_ca_system_score_codex":0.0032282774,"about_ca_system_score_gemma":0.00077641616,"threshold_uncertainty_score":0.0736022},"labels":[],"label_agreement":null},{"id":"W3134939116","doi":"10.3390/economies9010034","title":"Movement of Inflation and New Keynesian Phillips Curve in ASEAN","year":2021,"lang":"en","type":"article","venue":"Economies","topic":"Monetary Policy and Economic Impact","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":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Phillips curve; Inflation (cosmology); Keynesian economics; New Keynesian economics; Quarter (Canadian coin); Unemployment; Macroeconomics; Monetary policy; Real interest rate; Exchange rate; Wage; Econometrics; Labour economics","score_opus":0.07363747395299343,"score_gpt":0.22294587172574892,"score_spread":0.1493083977727555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134939116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9462535,0.0012400169,0.019920615,0.0014713956,0.00003851608,0.000015957034,0.0004202054,0.000056773977,0.030583033],"genre_scores_gemma":[0.99676704,0.00045618648,0.0006208142,0.000023370649,0.000014161152,0.0000052884525,0.00013835332,0.000005233419,0.0019695682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997671,0.00007856328,0.000013325179,0.00005172812,0.000048766356,0.000040484094],"domain_scores_gemma":[0.9995109,0.00019211287,0.00015535728,0.000027137858,0.000086417655,0.00002814226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005784952,0.00015400656,0.00025954522,0.0006332693,0.00040987213,0.0012418217,0.00022599306,0.00041298196,0.0027800484],"category_scores_gemma":[0.002732557,0.00013027209,0.00032953796,0.00095912075,0.00028294546,0.0011674856,0.00045172384,0.0006401635,0.0003575887],"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":[0.00038889857,0.0001847077,0.22728464,0.00022312516,0.00019984104,0.0036088375,0.0038315475,0.28574717,0.0039384495,0.3649905,0.009970919,0.09963143],"study_design_scores_gemma":[0.000023774457,0.00012653938,0.32780918,0.000059803133,0.00009414807,0.000866765,0.0014253082,0.52839345,0.0008000861,0.12172001,0.01860162,0.00007931216],"about_ca_topic_score_codex":0.017006174,"about_ca_topic_score_gemma":0.009505586,"teacher_disagreement_score":0.017006174,"about_ca_system_score_codex":0.00093288126,"about_ca_system_score_gemma":0.00044832885,"threshold_uncertainty_score":0.03381437},"labels":[],"label_agreement":null},{"id":"W3203282620","doi":"10.3390/economies9040137","title":"Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining","year":2021,"lang":"en","type":"article","venue":"Economies","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Categorical variable; Economic recovery; Quarter (Canadian coin); Real gross domestic product; Gross domestic product; Baseline (sea); Economics; Economic data; Economic impact analysis; Economic indicator; Time series; Econometrics; Macroeconomics; Geography; Statistics; Political science; Mathematics; Medicine","score_opus":0.346842586145159,"score_gpt":0.4331273747668209,"score_spread":0.08628478862166189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203282620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494296,0.00039317587,0.0013473809,0.0004790404,0.000018280496,0.000020702688,0.0015640508,0.000020066556,0.0012143179],"genre_scores_gemma":[0.99636936,0.0003452111,0.0013192642,0.000028665727,0.0000073838205,0.000010667071,0.0016867124,0.0000025366203,0.0002302125],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996105,0.00014886097,0.000070166825,0.000051933235,0.00006388305,0.000054638374],"domain_scores_gemma":[0.99733305,0.0014364682,0.0005703879,0.00013066667,0.00044526646,0.00008420439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010904481,0.00030346515,0.00024834066,0.0015290596,0.00018065186,0.0009270581,0.00026769252,0.00046876178,0.000595983],"category_scores_gemma":[0.006300867,0.00014478629,0.00027596156,0.0014441746,0.00020500219,0.00066269806,0.0005594448,0.0004228673,0.00016362814],"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":[0.00030179133,0.0001429418,0.8003436,0.00016726258,0.00018681372,0.0010669129,0.00046739774,0.15494563,0.0011822913,0.0018817993,0.0031064693,0.036207177],"study_design_scores_gemma":[0.000018340686,0.00013221664,0.6234779,0.0001425895,0.000062366205,0.00018101555,0.0020682744,0.36897835,0.00078350556,0.0009491193,0.003166689,0.000039624952],"about_ca_topic_score_codex":0.11372035,"about_ca_topic_score_gemma":0.09300126,"teacher_disagreement_score":0.11372035,"about_ca_system_score_codex":0.0012914656,"about_ca_system_score_gemma":0.0004638689,"threshold_uncertainty_score":0.22611684},"labels":[],"label_agreement":null},{"id":"W3206524990","doi":"10.3390/economies9040151","title":"Forecasting for the Optimal Numbers of COVID-19 Infection to Maintain Economic Circular Flows of Thailand","year":2021,"lang":"en","type":"article","venue":"Economies","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Dynamic stochastic general equilibrium; Order (exchange); Pandemic; Quarter (Canadian coin); Economics; Circulation (fluid dynamics); Bayesian probability; Econometrics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Outbreak; Macroeconomics; Geography; Statistics; Monetary policy; Virology; Finance; Medicine; Mathematics","score_opus":0.21717646402224458,"score_gpt":0.3917017640018657,"score_spread":0.1745252999796211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206524990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98306376,0.00042952457,0.012748027,0.0008229611,0.000037106853,0.0000309166,0.0010025402,0.000058418038,0.0018067543],"genre_scores_gemma":[0.9966845,0.0001564272,0.0022116574,0.00001676041,0.000011276407,0.000011982216,0.00057070487,0.000004592322,0.00033209665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.0001131129,0.00002623064,0.00007641021,0.000034364304,0.000056175842],"domain_scores_gemma":[0.9981675,0.0008605023,0.0004061428,0.000066083834,0.00034153095,0.00015822223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013570123,0.0004900801,0.00030649191,0.00081352855,0.00025398924,0.0012209163,0.0005313878,0.0007294036,0.0009776456],"category_scores_gemma":[0.005580145,0.00024791528,0.0003858364,0.0006992252,0.000264949,0.0014947712,0.00043169406,0.00078323984,0.0001686087],"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":[0.00028445278,0.000099212644,0.28303075,0.00013881974,0.00009727087,0.0005403002,0.00037070987,0.69022375,0.0015163163,0.0034437964,0.0023821334,0.017872518],"study_design_scores_gemma":[0.0000119720125,0.000066579756,0.030206759,0.000029528697,0.000025525025,0.000059004284,0.00046103826,0.9657993,0.0006610981,0.0020025196,0.0006507373,0.000025945092],"about_ca_topic_score_codex":0.01945536,"about_ca_topic_score_gemma":0.010605145,"teacher_disagreement_score":0.01945536,"about_ca_system_score_codex":0.0007661259,"about_ca_system_score_gemma":0.00077821757,"threshold_uncertainty_score":0.03868425},"labels":[],"label_agreement":null},{"id":"W4210770269","doi":"10.3390/economies10020040","title":"The COVID-19 Era—Influencers of Uneven Sector Performance: A Canadian Perspective","year":2022,"lang":"en","type":"article","venue":"Economies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Accommodation; Shock (circulatory); Business; Economic sector; Manufacturing sector; Economics; Labour economics; Economy; Medicine","score_opus":0.03951824323952307,"score_gpt":0.2501881082955424,"score_spread":0.2106698650560193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210770269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7807091,0.009456476,0.002838331,0.051340356,0.00019977955,0.0001328094,0.004479275,0.000076222466,0.15076764],"genre_scores_gemma":[0.9941134,0.0019864135,0.0003077709,0.00049996783,0.00004142717,0.000008651839,0.00043369512,0.000016053953,0.0025925797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99622285,0.00045634003,0.00007175002,0.00019344223,0.0009834211,0.0020722202],"domain_scores_gemma":[0.99343586,0.001046569,0.0010724124,0.00029117,0.002524433,0.0016297091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002949285,0.0005183032,0.00064808293,0.0032665983,0.0039270646,0.005361821,0.0011949405,0.0008122594,0.004996357],"category_scores_gemma":[0.010327631,0.0002663694,0.00062574673,0.0057853097,0.003770764,0.0017203784,0.0031596618,0.0021261314,0.00032282865],"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":[0.00025149118,0.000120647,0.7437407,0.00022059328,0.0002206221,0.001176006,0.0077325758,0.021781236,0.0007340393,0.1493239,0.022906987,0.051791243],"study_design_scores_gemma":[0.00002098883,0.00006530152,0.89267516,0.00031707532,0.000100415156,0.00014137274,0.022613894,0.015470793,0.0004213014,0.01463457,0.05340732,0.00013180682],"about_ca_topic_score_codex":0.99025047,"about_ca_topic_score_gemma":0.99092263,"teacher_disagreement_score":0.07256755,"about_ca_system_score_codex":0.07256755,"about_ca_system_score_gemma":0.06279791,"threshold_uncertainty_score":0.5265169},"labels":[],"label_agreement":null},{"id":"W4251106713","doi":"10.3390/economies2040218","title":"Urban Economy","year":2014,"lang":"en","type":"article","venue":"Economies","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economy; Work (physics); National economy; Urban policy; Urban economics; Economics; Economic policy; Business; Urban planning; Economic system; Geography","score_opus":0.018729622459484483,"score_gpt":0.24103078561737035,"score_spread":0.22230116315788587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251106713","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":[0.0021705613,0.015578201,0.0019467385,0.15419963,0.007430994,0.000038986058,0.000493205,0.00016217862,0.8179795],"genre_scores_gemma":[0.09840221,0.023275996,0.0020496396,0.06836956,0.006094074,0.00012849277,0.0010309232,0.00023189944,0.80041724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989165,0.00031158686,0.000048172125,0.0001857055,0.0002865309,0.0002514616],"domain_scores_gemma":[0.99923253,0.0001324826,0.00005766998,0.00011789328,0.0002598588,0.00019948305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010169205,0.00049620646,0.00041119687,0.00086659845,0.00413938,0.009771637,0.0007450343,0.0028666325,0.06906899],"category_scores_gemma":[0.0025641397,0.00018706203,0.00044356208,0.001205209,0.0035136014,0.004906649,0.005497741,0.0037938827,0.014803846],"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":[0.000005467329,0.000009828277,0.00023786974,0.00005900685,0.0000031588834,0.000033753648,0.00045922404,0.00006718766,0.00003983312,0.595628,0.38526875,0.018187992],"study_design_scores_gemma":[8.6222366e-7,0.0000032140642,0.00019743387,0.000053925047,8.207968e-7,0.000024646599,0.0002813395,0.000028716338,0.000028902672,0.014949176,0.98442864,0.0000023804284],"about_ca_topic_score_codex":0.006853394,"about_ca_topic_score_gemma":0.013707059,"teacher_disagreement_score":0.06906899,"about_ca_system_score_codex":0.0044002966,"about_ca_system_score_gemma":0.0059014354,"threshold_uncertainty_score":0.23105884},"labels":[],"label_agreement":null},{"id":"W4280648300","doi":"10.3390/economies10050114","title":"Formal vs. Informal Institutional Distances and the Competitive Advantage of Foreign Subsidiaries in Latin America","year":2022,"lang":"en","type":"article","venue":"Economies","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Subsidiary; Emerging markets; Hofstede's cultural dimensions theory; Business; Corporate governance; Latin Americans; Sample (material); Competitive advantage; Industrial organization; Economic geography; International economics; Economic system; Economics; Marketing; Multinational corporation; Political science; Sociology; Finance","score_opus":0.006783786996021138,"score_gpt":0.1873778556889015,"score_spread":0.18059406869288036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280648300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718213,0.00009504901,0.000039791397,0.00006340124,0.0000010549942,0.0000026454395,0.00003847846,0.0000013258411,0.0025762338],"genre_scores_gemma":[0.99957424,0.00007938646,0.00003798553,0.000010421076,0.000002687464,0.0000022194565,0.000072405826,9.3604797e-7,0.00021969824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999663,0.00007377211,0.000029386305,0.00004576947,0.00006399721,0.00012406337],"domain_scores_gemma":[0.99591947,0.0008619181,0.0020664227,0.00014941653,0.0003128888,0.0006899285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000620995,0.0001390203,0.00018832891,0.0012305997,0.00039596492,0.0018097053,0.0002439761,0.00024648584,0.0026339642],"category_scores_gemma":[0.0030777608,0.000068301415,0.00015061336,0.0016948744,0.00085243146,0.0009834011,0.0012442049,0.00031615284,0.00014126566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052792588,0.00009525821,0.9882135,0.000019510508,0.000022969187,0.00017828139,0.0013024986,0.0003176028,0.00035887831,0.0013799076,0.00015253494,0.007906318],"study_design_scores_gemma":[0.000008571172,0.00004202367,0.9919574,0.000022161226,0.000007551722,0.000077302786,0.00614288,0.0002394746,0.00006965586,0.00035796023,0.0010694141,0.000005610358],"about_ca_topic_score_codex":0.013698997,"about_ca_topic_score_gemma":0.02305172,"teacher_disagreement_score":0.013698997,"about_ca_system_score_codex":0.0008369878,"about_ca_system_score_gemma":0.0005622242,"threshold_uncertainty_score":0.027238488},"labels":[],"label_agreement":null},{"id":"W4283773190","doi":"10.3390/economies10070159","title":"The Impact of the COVID-19 Pandemic on Economic Growth and Monetary Policy: An Analysis from the DSGE Model in Vietnam","year":2022,"lang":"en","type":"article","venue":"Economies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dynamic stochastic general equilibrium; Shock (circulatory); Pandemic; Economics; Coronavirus disease 2019 (COVID-19); Bayesian vector autoregression; Inflation (cosmology); Monetary policy; Bayesian probability; Interest rate; Quarter (Canadian coin); Macroeconomics; Monetary economics; Econometrics; Variable (mathematics); Statistics; Geography; Medicine; Disease","score_opus":0.05039975243879403,"score_gpt":0.28906045256089596,"score_spread":0.23866070012210194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283773190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9468317,0.0018736238,0.02504406,0.004487951,0.0001370038,0.000106957734,0.0012660446,0.000083249215,0.020169232],"genre_scores_gemma":[0.989879,0.0010186586,0.0020203998,0.00020270067,0.000042227857,0.0000698062,0.00049932534,0.000024215955,0.0062435996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996942,0.00015147869,0.000011367967,0.00003744454,0.000021515494,0.00008398093],"domain_scores_gemma":[0.99847096,0.0010036385,0.00017555154,0.000034720393,0.000164507,0.0001505739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014291035,0.0007053824,0.0010974774,0.00076060323,0.0005162273,0.0017319063,0.0008070251,0.0016245221,0.0031499744],"category_scores_gemma":[0.0035880713,0.00040846344,0.0010754316,0.00050309644,0.00071002793,0.0010233934,0.001331675,0.0019790547,0.00023280267],"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":[0.00012930392,0.00007549643,0.010334203,0.00008520962,0.00009461015,0.00082612457,0.00017590197,0.9610997,0.00033238524,0.022789571,0.0017156268,0.0023418572],"study_design_scores_gemma":[0.000042940774,0.00007849771,0.0033365616,0.000026639555,0.000051040668,0.00006978795,0.0003480293,0.9900309,0.00008873968,0.004831432,0.0010697023,0.000025661288],"about_ca_topic_score_codex":0.075951904,"about_ca_topic_score_gemma":0.025841612,"teacher_disagreement_score":0.075951904,"about_ca_system_score_codex":0.0015265819,"about_ca_system_score_gemma":0.0015203434,"threshold_uncertainty_score":0.15101963},"labels":[],"label_agreement":null},{"id":"W4293238637","doi":"10.3390/economies10050101","title":"Money Supply and Inflation after COVID-19","year":2022,"lang":"en","type":"article","venue":"Economies","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Vector autoregression; Shock (circulatory); Coronavirus disease 2019 (COVID-19); Monetary economics; Monetary policy; Unemployment; Core inflation; Consumption (sociology); Personal consumption expenditures price index; Quarter (Canadian coin); Supply shock; Index (typography); Core (optical fiber); Macroeconomics; Inflation targeting; Consumer confidence index; Medicine","score_opus":0.04834616989631344,"score_gpt":0.22263883760583822,"score_spread":0.17429266770952478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293238637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883421,0.00049892155,0.0019807788,0.0027417222,0.00009736038,0.000011923151,0.00082319975,0.000036164027,0.005467864],"genre_scores_gemma":[0.99817777,0.00010372804,0.00009301634,0.000087449705,0.000031626732,0.0000050026006,0.0004696791,0.0000046906875,0.0010270653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996456,0.00005813301,0.00002701065,0.00008107443,0.000054581804,0.00013353345],"domain_scores_gemma":[0.99789834,0.00053023046,0.00087414845,0.00009046625,0.00034606343,0.00026073933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010633979,0.00028638652,0.000381944,0.000509424,0.00039925153,0.0018452308,0.0003623214,0.0012230264,0.0019119412],"category_scores_gemma":[0.007784723,0.00027070285,0.0003755429,0.00052361796,0.0005686242,0.0012835781,0.0009949526,0.002022907,0.0004921183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009218013,0.00018503249,0.83334863,0.00009353162,0.0001714726,0.0018902206,0.0009657976,0.07204184,0.0017622976,0.04461072,0.0068785255,0.037130088],"study_design_scores_gemma":[0.00007046702,0.00033111035,0.7649707,0.000099807134,0.000093438866,0.00045191043,0.00085857,0.20096031,0.001458649,0.02268132,0.007922079,0.000101491474],"about_ca_topic_score_codex":0.014753608,"about_ca_topic_score_gemma":0.009133863,"teacher_disagreement_score":0.014753608,"about_ca_system_score_codex":0.0014984659,"about_ca_system_score_gemma":0.0005693844,"threshold_uncertainty_score":0.02933544},"labels":[],"label_agreement":null},{"id":"W4308512890","doi":"10.3390/economies10110279","title":"Does Economic Inequality Account for Cross-Country Discrepancies in Relative Social Mobility: An Empirical Investigation","year":2022,"lang":"en","type":"article","venue":"Economies","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Social mobility; Inequality; Poverty; Demographic economics; Economic inequality; Sample (material); Social inequality; Income distribution; Economics; Development economics; Economic growth; Sociology; Mathematics","score_opus":0.09054881181536727,"score_gpt":0.415458850458473,"score_spread":0.3249100386431057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308512890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99542326,0.0004551331,0.0012134439,0.00036041538,0.000021054191,0.00001388184,0.0003706199,0.00000758682,0.0021346118],"genre_scores_gemma":[0.9992993,0.00008526933,0.00013290223,0.000017765797,0.0000120075,0.000005716989,0.00029442713,0.0000031333386,0.00014954632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978896,0.0010666539,0.00015197592,0.00035241665,0.00019760264,0.00034171634],"domain_scores_gemma":[0.9690702,0.020974016,0.0058735465,0.001943566,0.0012399021,0.0008988484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004313725,0.0003023343,0.0005901173,0.0019743962,0.00081751985,0.0018151694,0.00085429626,0.0006958138,0.004423447],"category_scores_gemma":[0.020402607,0.00023568528,0.0010226361,0.0037140094,0.0009490439,0.002170118,0.0022941248,0.0013284151,0.00048656165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009669626,0.0000773466,0.98825616,0.000032742275,0.0003063751,0.00015403803,0.0010144371,0.0013777337,0.00003354665,0.002104351,0.00041984656,0.0061267074],"study_design_scores_gemma":[0.000011476385,0.00006700155,0.97995925,0.0000821806,0.0002316922,0.00016021293,0.005263059,0.010552024,0.000087302615,0.0024385182,0.0011251306,0.000022154709],"about_ca_topic_score_codex":0.013052774,"about_ca_topic_score_gemma":0.010516366,"teacher_disagreement_score":0.013052774,"about_ca_system_score_codex":0.0005283265,"about_ca_system_score_gemma":0.00046245937,"threshold_uncertainty_score":0.02595359},"labels":[],"label_agreement":null},{"id":"W4365453475","doi":"10.3390/economies11040114","title":"Effects of Spatial Characteristics on Non-Standard Employment for Canada’s Immigrant Population","year":2023,"lang":"en","type":"article","venue":"Economies","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":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Microdata (statistics); Demographic economics; American Community Survey; Metropolitan area; Geography; Population; Spatial mismatch; Ordinary least squares; Demography; Economics; Sociology; Econometrics","score_opus":0.007704508961216249,"score_gpt":0.2545777530493037,"score_spread":0.24687324408808745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365453475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99656445,0.00025897592,0.00013757676,0.00022891213,0.000013824126,0.000011396363,0.0010771961,0.000010240997,0.0016975206],"genre_scores_gemma":[0.99860245,0.00011880882,0.000076905926,0.000016209386,0.0000035128476,0.0000054616053,0.00051639334,0.0000028373913,0.0006573368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912685,0.00014474649,0.000049838483,0.00011697751,0.00022922884,0.00033231787],"domain_scores_gemma":[0.99628484,0.0005688286,0.001002592,0.00026841517,0.0008626373,0.0010126355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008082126,0.0003256177,0.0002905977,0.0012165189,0.0020938045,0.0013223453,0.00093238725,0.00035791507,0.0036096466],"category_scores_gemma":[0.0046264958,0.00014960756,0.0008517157,0.0023441769,0.0011306864,0.0003642168,0.0018043538,0.000583174,0.00025533998],"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":[0.000063756976,0.000021235437,0.9945532,0.000011037318,0.000055285676,0.00008431047,0.00048606432,0.0003837872,0.000057706955,0.0002988094,0.00045353774,0.0035312732],"study_design_scores_gemma":[0.0000023057507,0.000025400983,0.9956676,0.000023751969,0.00001967208,0.000028854543,0.0028665802,0.0007096586,0.000030454885,0.000079483405,0.00053958147,0.0000067197966],"about_ca_topic_score_codex":0.91712266,"about_ca_topic_score_gemma":0.961651,"teacher_disagreement_score":0.08287734,"about_ca_system_score_codex":0.0059939,"about_ca_system_score_gemma":0.012824763,"threshold_uncertainty_score":0.16673076},"labels":[],"label_agreement":null},{"id":"W4385308087","doi":"10.3390/economies11080201","title":"Evaluating the Hierarchical Contagion of Economic Policy Uncertainty among the Leading Developed and Developing Economies","year":2023,"lang":"en","type":"article","venue":"Economies","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; China; Volatility (finance); Economics; Political science; Economy; Development economics; Finance","score_opus":0.08135888844991565,"score_gpt":0.3240550998250496,"score_spread":0.24269621137513395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385308087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939406,0.00013260054,0.0037416418,0.0001695243,0.000001639595,0.000021250551,0.000098048586,0.0000052944642,0.0018893693],"genre_scores_gemma":[0.9993451,0.00006230892,0.000503724,0.0000043131104,0.0000018297602,0.0000055013525,0.000041124145,6.204665e-7,0.000035379726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863017,0.0006739627,0.00010973538,0.00012531935,0.0002914929,0.00016932],"domain_scores_gemma":[0.9787829,0.015656948,0.0038025905,0.0005061864,0.00088809925,0.00036336482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040467894,0.00036538948,0.00035253674,0.0035998877,0.0005347581,0.0022446495,0.00037932198,0.00057604705,0.00057349744],"category_scores_gemma":[0.024782384,0.00024130526,0.0004248202,0.0030758742,0.0011797363,0.0025284428,0.0016842361,0.0006922022,0.0000355859],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024255207,0.00009395025,0.6881209,0.00010537494,0.00047250048,0.00069192005,0.0022522956,0.25105026,0.0005889282,0.030106945,0.00029143077,0.025982972],"study_design_scores_gemma":[0.0000130838525,0.00017537817,0.38724393,0.00008283805,0.00017120072,0.00012254911,0.004859438,0.56404734,0.0009942942,0.041240998,0.0009722195,0.000076665434],"about_ca_topic_score_codex":0.0140947625,"about_ca_topic_score_gemma":0.00998258,"teacher_disagreement_score":0.0140947625,"about_ca_system_score_codex":0.0026061682,"about_ca_system_score_gemma":0.0010266971,"threshold_uncertainty_score":0.028025448},"labels":[],"label_agreement":null},{"id":"W4389936030","doi":"10.3390/economies12010001","title":"Does Economic Growth Attract FDI Inflows? A Dynamic Panel Analysis","year":2023,"lang":"en","type":"article","venue":"Economies","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Foreign direct investment; Openness to experience; Economics; Panel data; Generalized method of moments; Endowment; International economics; Investment (military); International trade; Monetary economics; Politics; Macroeconomics; Econometrics","score_opus":0.01583371678685181,"score_gpt":0.22357691558537832,"score_spread":0.2077431987985265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389936030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964418,0.00084449217,0.008661561,0.0026691826,0.0001218032,0.00009847296,0.007695454,0.00008168804,0.0154094715],"genre_scores_gemma":[0.9908652,0.00033487938,0.0007806685,0.00018885137,0.00008543452,0.00004375265,0.0042742076,0.00001016319,0.0034169278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976011,0.0014655081,0.00009689017,0.00032481377,0.00016041861,0.00035124994],"domain_scores_gemma":[0.9877323,0.008308916,0.002215842,0.00072597206,0.000585436,0.00043143122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033456679,0.00045435946,0.000847697,0.00085756846,0.00038835884,0.00173275,0.0006514952,0.0009501233,0.009432056],"category_scores_gemma":[0.007526932,0.00025127755,0.00105172,0.0020616993,0.00050455955,0.0008766017,0.001075942,0.0013105228,0.0016548494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052064174,0.0003462151,0.93341935,0.00012105715,0.0011765208,0.0004665349,0.00021708937,0.02474485,0.0008944828,0.0063605784,0.0063550426,0.025377586],"study_design_scores_gemma":[0.000066701396,0.0003916983,0.90780115,0.00006884341,0.001171531,0.00014424934,0.0008505742,0.0722468,0.0010389093,0.0059680855,0.010181171,0.00007026465],"about_ca_topic_score_codex":0.011580386,"about_ca_topic_score_gemma":0.009786204,"teacher_disagreement_score":0.011580386,"about_ca_system_score_codex":0.0005152954,"about_ca_system_score_gemma":0.00077100884,"threshold_uncertainty_score":0.031553328},"labels":[],"label_agreement":null},{"id":"W4390898272","doi":"10.3390/economies12010018","title":"Asymmetric and Nonlinear Foreign Debt–Inflation Nexus in Brazil: Evidence from NARDL and Markov Regime Switching Approaches","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Al-Imam Muhammad Ibn Saud Islamic University","keywords":"Economics; Econometrics; Inflation (cosmology); Unit root; Structural break; Cointegration; Markov chain; Distributed lag; Autoregressive model; Monetary economics; Mathematics; Statistics","score_opus":0.08724451342138126,"score_gpt":0.24075594883667206,"score_spread":0.1535114354152908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390898272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98981106,0.0005178133,0.0034824652,0.0007189338,0.000005447912,0.000012263449,0.00015853302,0.000021427279,0.005272124],"genre_scores_gemma":[0.9994092,0.00018880019,0.00020648383,0.000016716458,0.0000036798244,0.0000020136524,0.000063223255,0.0000026560601,0.00010720416],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921274,0.0004048355,0.00006214188,0.00012515769,0.00010291677,0.00009214048],"domain_scores_gemma":[0.983649,0.010317138,0.004045055,0.0010247285,0.0006451385,0.00031898348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027540424,0.00017413839,0.00044838566,0.00068341865,0.000439181,0.0010300507,0.00052139396,0.00038658804,0.002183915],"category_scores_gemma":[0.015108595,0.00022215291,0.0005654104,0.00092127465,0.00089049316,0.00081999734,0.0008686089,0.0007606072,0.0001912204],"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":[0.00048562224,0.0002758582,0.86682045,0.0002528879,0.0005067155,0.0008608592,0.002747395,0.023400472,0.0015086563,0.05557239,0.00094594585,0.04662283],"study_design_scores_gemma":[0.00013192465,0.00018712226,0.69451433,0.00016983085,0.00044686138,0.00044947152,0.0029706117,0.22290109,0.0012303441,0.07339221,0.0035415846,0.00006467555],"about_ca_topic_score_codex":0.034392204,"about_ca_topic_score_gemma":0.030043732,"teacher_disagreement_score":0.034392204,"about_ca_system_score_codex":0.00081831834,"about_ca_system_score_gemma":0.00067340006,"threshold_uncertainty_score":0.06838405},"labels":[],"label_agreement":null},{"id":"W4391542457","doi":"10.3390/economies12020041","title":"On the Dynamic Changes in the Global Stock Markets’ Network during the Russia–Ukraine War","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Stock (firearms); Stock market; Financial market; Financial crisis; Stock market bubble; Business; Financial economics; Economics; Geography; Finance; Macroeconomics","score_opus":0.01409537012955555,"score_gpt":0.20368561302639893,"score_spread":0.18959024289684337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391542457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980185,0.00009622879,0.00055675,0.00008112284,0.0000035819983,0.000004307126,0.00026074232,0.0000045742067,0.0009742338],"genre_scores_gemma":[0.9992316,0.000094670395,0.0002486559,0.000004634985,0.0000031494951,0.000004090945,0.00027757196,0.0000011909643,0.00013452579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984133,0.00004896772,0.000013082207,0.000037951064,0.000029159815,0.000029356754],"domain_scores_gemma":[0.999246,0.00027464208,0.0002679568,0.00003340128,0.00012188052,0.00005625493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038982456,0.00008931833,0.0001178676,0.0014919349,0.00026434066,0.00058720843,0.0001350865,0.0001648432,0.00080088794],"category_scores_gemma":[0.0025575943,0.0000606033,0.00012039634,0.0014732182,0.0002656142,0.00079706294,0.00042360218,0.00016296018,0.00010979791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015988635,0.00004717018,0.9103954,0.00009203504,0.00011871311,0.0007612141,0.003651661,0.025221873,0.0026908666,0.007610526,0.002076178,0.047174573],"study_design_scores_gemma":[0.000003847978,0.00004085468,0.953937,0.000042223357,0.000041602932,0.00020785585,0.0036623802,0.0365961,0.0004984709,0.0020518412,0.0029032829,0.000014495856],"about_ca_topic_score_codex":0.0070204725,"about_ca_topic_score_gemma":0.008145343,"teacher_disagreement_score":0.0070204725,"about_ca_system_score_codex":0.00044067012,"about_ca_system_score_gemma":0.00018184015,"threshold_uncertainty_score":0.013959229},"labels":[],"label_agreement":null},{"id":"W4394877665","doi":"10.3390/economies12040094","title":"Government Funding Allocations to Universities and the Business Cycle: An Analysis of Canada’s Provincial Governments","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Lethbridge","funders":"","keywords":"Revenue; Per capita; Economics; Business cycle; Recession; Panel data; Government (linguistics); Government revenue; Gross domestic product; Finance; Business; Economic growth; Macroeconomics; Econometrics","score_opus":0.01337861845716596,"score_gpt":0.1970009730398608,"score_spread":0.18362235458269485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394877665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98127776,0.0011901201,0.0006785679,0.00225845,0.000024657142,0.000051684547,0.005863683,0.00005113183,0.008603907],"genre_scores_gemma":[0.99325985,0.0007187653,0.00024626823,0.00009406235,0.000009531178,0.000009216076,0.0027691692,0.0000122017855,0.0028809856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897707,0.00008984573,0.00003478321,0.000099295874,0.0002867875,0.0005123258],"domain_scores_gemma":[0.99571395,0.0008249862,0.0007243537,0.0001813256,0.0017313715,0.00082417193],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00097587425,0.00026986148,0.0005927074,0.0016569502,0.0019438408,0.002334495,0.0009550519,0.0004340068,0.0030199643],"category_scores_gemma":[0.007150605,0.00031805626,0.0009648151,0.0042829034,0.0006995488,0.00046861364,0.0009609048,0.00085957773,0.0002201103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038307742,0.000092111724,0.9114503,0.00010928362,0.0003235917,0.00042491578,0.00094205403,0.041906487,0.00056690595,0.012171586,0.011834071,0.019795632],"study_design_scores_gemma":[0.000060448598,0.00004507607,0.91969407,0.00006499552,0.00022428596,0.00007741364,0.0017434757,0.063330546,0.00036647913,0.0015035592,0.012839883,0.000049703172],"about_ca_topic_score_codex":0.9954646,"about_ca_topic_score_gemma":0.993978,"teacher_disagreement_score":0.99902415,"about_ca_system_score_codex":0.03580371,"about_ca_system_score_gemma":0.047634967,"threshold_uncertainty_score":0.25977528},"labels":[],"label_agreement":null},{"id":"W4398139442","doi":"10.3390/economies12050124","title":"Comparative Analysis between Quality of Life and Human Labor in Countries Belonging to G7 and BRICS Blocks: Proposition of Discriminant Analysis Model","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universidade Tecnológica Federal do Paraná; Fundação Araucária; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Proposition; Linear discriminant analysis; Quality (philosophy); Discriminant; Econometrics; Economics; Computer science; Statistics; Mathematics; Artificial intelligence; Epistemology; Philosophy","score_opus":0.022541048002958097,"score_gpt":0.30179187981488553,"score_spread":0.27925083181192745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398139442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97867453,0.0001471732,0.013120832,0.00043429094,0.000029979794,0.00014281215,0.00044308047,0.000025259775,0.0069819777],"genre_scores_gemma":[0.9968183,0.00004548818,0.002415659,0.000019043393,0.000011798438,0.000078421785,0.0002494498,0.0000027978645,0.0003590344],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985801,0.0006963793,0.00006009491,0.00018561445,0.00025172287,0.00022607693],"domain_scores_gemma":[0.99548715,0.0028759518,0.00050110964,0.00025169912,0.0005812971,0.00030278187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037858407,0.00062530703,0.0004387778,0.003498237,0.00063564,0.0016151889,0.0005496874,0.00041683667,0.002580283],"category_scores_gemma":[0.006555297,0.00013880715,0.001128895,0.0020484221,0.00092119706,0.00088242855,0.0013686782,0.0006618592,0.00034532842],"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":[0.0002630848,0.0002362633,0.94391173,0.00006962158,0.00030449269,0.00011914409,0.0020011622,0.00400393,0.00042505257,0.008912361,0.0008163768,0.0389368],"study_design_scores_gemma":[0.000058378893,0.0005485913,0.8926637,0.00014694771,0.00021802838,0.00014997394,0.0074157855,0.08138508,0.0005311344,0.0142221255,0.0026073623,0.000052928626],"about_ca_topic_score_codex":0.0059445733,"about_ca_topic_score_gemma":0.002910142,"teacher_disagreement_score":0.0059445733,"about_ca_system_score_codex":0.0010590233,"about_ca_system_score_gemma":0.0012864757,"threshold_uncertainty_score":0.020021617},"labels":[],"label_agreement":null},{"id":"W4401762447","doi":"10.3390/economies12080214","title":"The Economic Decision of International Migration: Two Empirical Evidences from the United States and Canada","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Environment","keywords":"Regional science; Economic geography; Political science; Economics; Geography","score_opus":0.019444123181120935,"score_gpt":0.31871384181312656,"score_spread":0.29926971863200563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401762447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847252,0.0012170108,0.00011090001,0.0012486547,0.000012471326,0.000017314209,0.0010902734,0.0000033129882,0.011574935],"genre_scores_gemma":[0.996887,0.00089007267,0.00013401383,0.00015939018,0.0000063414677,0.000006295695,0.00088309293,0.0000042388237,0.0010295325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868864,0.00018750552,0.000067840025,0.00015210964,0.00047406292,0.00042978808],"domain_scores_gemma":[0.98963636,0.0021470462,0.0018271424,0.0004377063,0.0042997943,0.0016519722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018140122,0.00022071134,0.00042024936,0.002164704,0.0043344027,0.0020374495,0.0008966377,0.00048392476,0.0029657036],"category_scores_gemma":[0.00974853,0.00017785668,0.00047218287,0.005546381,0.0014826109,0.00075785496,0.0016887754,0.0010938268,0.00018811805],"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":[0.000115992094,0.00007440589,0.978384,0.00004752409,0.00009238123,0.00023139502,0.004774116,0.0003125217,0.00005064242,0.002960323,0.0025800602,0.010376614],"study_design_scores_gemma":[0.00000940198,0.000009119893,0.98542875,0.00009231845,0.00005213083,0.00003879917,0.009684297,0.00054488797,0.000048259186,0.00029593534,0.0037787645,0.000017366001],"about_ca_topic_score_codex":0.98889625,"about_ca_topic_score_gemma":0.99356186,"teacher_disagreement_score":0.013445866,"about_ca_system_score_codex":0.013445866,"about_ca_system_score_gemma":0.021690434,"threshold_uncertainty_score":0.09755707},"labels":[],"label_agreement":null},{"id":"W4404697659","doi":"10.3390/economies12120318","title":"Women in Transition: The Dynamic Effects of Inward FDI on Female Employment in the Economy and Across Sectors","year":2024,"lang":"en","type":"article","venue":"Economies","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Foreign direct investment; Openness to experience; Tertiary sector of the economy; Economics; Panel data; Empirical research; Investment (military); Labour economics; Demographic economics; Macroeconomics; Economy; Econometrics","score_opus":0.0232332861918774,"score_gpt":0.22139789918838398,"score_spread":0.1981646129965066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404697659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99504167,0.00051590544,0.00015856893,0.00078840065,0.0000149029565,0.0000049137093,0.00021501609,0.0000028820305,0.0032577247],"genre_scores_gemma":[0.99850684,0.0002226212,0.000026544985,0.00005511638,0.0000093267545,0.0000019213999,0.000080649734,0.00000110912,0.0010957465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962735,0.000077145516,0.000011295991,0.000047739755,0.000036622267,0.0001998691],"domain_scores_gemma":[0.9991008,0.00028652174,0.00030652995,0.00002793193,0.000070908485,0.00020737157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005202519,0.00015003084,0.00019714196,0.00046631793,0.00029929145,0.00087340473,0.00020331275,0.00030993932,0.0045729806],"category_scores_gemma":[0.001982451,0.00006978573,0.00039747066,0.0006201288,0.0004487453,0.00043530678,0.0010000993,0.0005482247,0.00039679944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032073457,0.00008360814,0.9712758,0.000036759964,0.000086703156,0.00079042924,0.0015784029,0.0012372538,0.0005646519,0.0028492396,0.00066725706,0.02050911],"study_design_scores_gemma":[0.000009516543,0.0001354888,0.9887742,0.000044535584,0.00007683282,0.0002591318,0.005543754,0.0007844728,0.00046013822,0.0008977156,0.0030057807,0.000008472621],"about_ca_topic_score_codex":0.019931266,"about_ca_topic_score_gemma":0.022405019,"teacher_disagreement_score":0.019931266,"about_ca_system_score_codex":0.0006612319,"about_ca_system_score_gemma":0.000512508,"threshold_uncertainty_score":0.039630473},"labels":[],"label_agreement":null},{"id":"W4407409903","doi":"10.3390/economies13020046","title":"Interrelationships Among Government Participation, Population and Growth of per Capita Income: Inquiry on Top Twenty Income-Holding Countries in the World","year":2025,"lang":"en","type":"article","venue":"Economies","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":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Per capita income; Government (linguistics); Per capita; Economics; Demographic economics; Population; Population growth; Household income; Economic growth; Development economics; Geography; Demography; Sociology","score_opus":0.029768683481032534,"score_gpt":0.2559363270533641,"score_spread":0.22616764357233157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407409903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771726,0.0002428786,0.000046255536,0.00004838878,0.0000012189848,0.0000015945616,0.00011524377,0.0000018132569,0.0018253239],"genre_scores_gemma":[0.999438,0.00023823834,0.000054233496,0.000008573231,0.0000031193983,0.0000023104178,0.0001359492,7.251757e-7,0.00011892048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997315,0.000060030776,0.000016291473,0.00003894493,0.000051247487,0.00010190185],"domain_scores_gemma":[0.9984296,0.0004808191,0.0005704425,0.000066001274,0.00021996294,0.00023313216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048915955,0.00014248565,0.00019566967,0.002245689,0.00046850066,0.0014400779,0.00022521892,0.00019676508,0.0012715595],"category_scores_gemma":[0.0013403613,0.00009788178,0.00024043692,0.0034634483,0.0006067467,0.00076726096,0.00075729005,0.00029466845,0.00016998113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002686577,0.00002829195,0.9889415,0.00002781855,0.000038692167,0.00020412443,0.0017053707,0.0003120143,0.00017865724,0.0010874065,0.00018049912,0.0072687436],"study_design_scores_gemma":[0.0000012901897,0.000028759929,0.99156266,0.000027511283,0.000024912892,0.00013510129,0.006206658,0.0004022398,0.0001276194,0.00023164536,0.0012448537,0.000006866096],"about_ca_topic_score_codex":0.0057729236,"about_ca_topic_score_gemma":0.006789144,"teacher_disagreement_score":0.0057729236,"about_ca_system_score_codex":0.0003570462,"about_ca_system_score_gemma":0.00031721467,"threshold_uncertainty_score":0.011478603},"labels":[],"label_agreement":null},{"id":"W4407922354","doi":"10.3390/economies13030063","title":"Technical Progress and Sustainable Growth in the Manufacturing Sector of North American Countries, 1984–2022: A Stochastic Frontier Analysis","year":2025,"lang":"en","type":"article","venue":"Economies","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":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frontier; Stochastic frontier analysis; Manufacturing sector; Sustainable growth rate; Economics; Regional science; Sustainable development; Economic geography; Econometrics; Macroeconomics; Geography; Political science; Production (economics); Finance","score_opus":0.002818608325868062,"score_gpt":0.20583776037777007,"score_spread":0.20301915205190202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407922354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772421,0.00058755674,0.017334405,0.00039931343,0.000013145582,0.000034483768,0.0009607181,0.000056657864,0.0033715572],"genre_scores_gemma":[0.99474984,0.00051275425,0.0022183792,0.000019720692,0.000007073106,0.000037226204,0.0009973376,0.000006388082,0.0014512022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996568,0.00014776377,0.000015745241,0.00006137293,0.000048926944,0.00006940418],"domain_scores_gemma":[0.99926454,0.000465134,0.00014587515,0.000026558035,0.00007605585,0.000021885624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016522927,0.0004571625,0.00039522102,0.0011419512,0.00030907296,0.0010485197,0.00037726478,0.0005382316,0.0013223649],"category_scores_gemma":[0.0019519513,0.0002675489,0.0012797725,0.001540562,0.00051409734,0.00060928316,0.00060842605,0.00056749553,0.00016166692],"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":[0.00007773178,0.000065038315,0.044993743,0.00006000674,0.00019499657,0.00018511586,0.00017185148,0.93859065,0.00061584305,0.008167995,0.0005866893,0.006290387],"study_design_scores_gemma":[0.000020177782,0.00019069693,0.094148,0.000049087947,0.0001486837,0.000086767715,0.0007330605,0.89294887,0.00076482294,0.007618924,0.0032460566,0.00004488538],"about_ca_topic_score_codex":0.056724336,"about_ca_topic_score_gemma":0.030152868,"teacher_disagreement_score":0.056724336,"about_ca_system_score_codex":0.0015407152,"about_ca_system_score_gemma":0.0013195787,"threshold_uncertainty_score":0.11278832},"labels":[],"label_agreement":null},{"id":"W4410966642","doi":"10.3390/economies13060155","title":"Food Insecurity During the COVID-19 Pandemic in Burkina Faso","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Consortium pour la recherche économique en Afrique","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Food insecurity; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental health; Geography; Virology; Food security; Medicine; Outbreak; Agriculture; Disease; Infectious disease (medical specialty)","score_opus":0.0500308593221455,"score_gpt":0.2730550861637202,"score_spread":0.2230242268415747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410966642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900216,0.000116514035,0.00005208966,0.00031865697,0.000002879111,0.0000052186742,0.00011134049,8.6117706e-7,0.000390401],"genre_scores_gemma":[0.9995721,0.00015505034,0.00003295993,0.000035520578,0.0000037165669,0.000003388077,0.00008128152,3.0767214e-7,0.00011568882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996939,0.00013731113,0.000013505998,0.000024439625,0.000015928135,0.00011495885],"domain_scores_gemma":[0.9990952,0.0003225884,0.0003467628,0.000026088539,0.00007814572,0.00013131605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010012381,0.00018930994,0.00018542931,0.00044072766,0.00070096157,0.0011254203,0.00018622914,0.00053528056,0.0009909444],"category_scores_gemma":[0.002679818,0.000118172014,0.00018606904,0.0006845898,0.00038068372,0.0008199442,0.0007888265,0.00059776223,0.00008014729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014877522,0.00015157869,0.9844094,0.000036721594,0.000053616677,0.0013603127,0.001812622,0.0034529662,0.00046028438,0.00080322695,0.00035801934,0.00695252],"study_design_scores_gemma":[0.000019432697,0.00017565617,0.9766956,0.0000719157,0.000036835692,0.00028468666,0.013196824,0.007613141,0.00026420568,0.00058433384,0.001039319,0.000018241635],"about_ca_topic_score_codex":0.11733401,"about_ca_topic_score_gemma":0.11115118,"teacher_disagreement_score":0.11733401,"about_ca_system_score_codex":0.0016496873,"about_ca_system_score_gemma":0.0007993566,"threshold_uncertainty_score":0.23330212},"labels":[],"label_agreement":null},{"id":"W4412862976","doi":"10.3390/economies13080220","title":"Dualism of the Health System for Sustainable Health System Financing in Benin: Collaboration or Competition?","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Consortium pour la recherche économique en Afrique","keywords":"Dualism; Competition (biology); Business; Sustainable development; Political science","score_opus":0.02576008021444706,"score_gpt":0.39814754709070105,"score_spread":0.372387466876254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412862976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693914,0.00064610207,0.0028147874,0.010175481,0.000021104493,0.00004297588,0.00008372804,0.000005804926,0.016818615],"genre_scores_gemma":[0.9991673,0.00007396048,0.0003086581,0.000116645926,0.000010251814,0.000016576774,0.000016077813,0.0000012367387,0.0002893202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9920109,0.0043432345,0.00017133527,0.0005163169,0.0007282568,0.0022299932],"domain_scores_gemma":[0.9841473,0.0077645355,0.004086713,0.00035558536,0.0010798629,0.0025660922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058674323,0.00020491504,0.00055224437,0.0013677902,0.0026571266,0.006567027,0.000768754,0.0012724416,0.008118048],"category_scores_gemma":[0.01394599,0.0002105403,0.00023650556,0.0019631127,0.0037543594,0.0050188513,0.005281685,0.0010972568,0.0002564936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055021525,0.00042159596,0.5515942,0.00040618717,0.00018938891,0.0014991179,0.016828869,0.011512197,0.0018174879,0.35590398,0.0033388906,0.055937953],"study_design_scores_gemma":[0.00021316748,0.00045770372,0.6223409,0.0011861803,0.00011130583,0.0011376345,0.10462055,0.03977126,0.0011504092,0.1912194,0.037671488,0.00012000257],"about_ca_topic_score_codex":0.014624765,"about_ca_topic_score_gemma":0.021462815,"teacher_disagreement_score":0.014624765,"about_ca_system_score_codex":0.009087111,"about_ca_system_score_gemma":0.0076885247,"threshold_uncertainty_score":0.065931976},"labels":[],"label_agreement":null},{"id":"W4413252925","doi":"10.3390/economies13080231","title":"Handwashing and Household Health Expenditures Under COVID-19: Evidence from Cameroon","year":2025,"lang":"en","type":"article","venue":"Economies","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Consortium pour la recherche économique en Afrique; International Development Research Centre","keywords":"Coronavirus disease 2019 (COVID-19); Health care; Environmental health; 2019-20 coronavirus outbreak; Business; Demographic economics; Socioeconomics; Medicine; Economics; Economic growth; Disease","score_opus":0.11034966957793435,"score_gpt":0.31863800809618886,"score_spread":0.2082883385182545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413252925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968219,0.0012207923,0.00009625044,0.00040924424,0.000007729062,0.000013038025,0.00079406094,0.0000013144587,0.0006357717],"genre_scores_gemma":[0.99830914,0.0010263672,0.00004318572,0.00004562826,0.000007122861,0.000009012068,0.00037718727,7.9974313e-7,0.00018159095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929845,0.00032172087,0.00003671756,0.000056033958,0.000040880303,0.00024627516],"domain_scores_gemma":[0.9968119,0.0011833974,0.0014755143,0.000079462305,0.00017408811,0.00027559022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010497175,0.00046832228,0.0002639201,0.0010255342,0.00042206544,0.00077665667,0.00026976474,0.00041790854,0.0036391232],"category_scores_gemma":[0.003346089,0.00023860949,0.0005325921,0.0020456607,0.0006285884,0.00056266057,0.0007427591,0.0008233151,0.00015980843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002982898,0.00017393962,0.9899212,0.0001219875,0.00013807435,0.00047715305,0.00056570617,0.00096156704,0.00013678991,0.0005951206,0.0005592731,0.0060509057],"study_design_scores_gemma":[0.000012697243,0.0001014443,0.9961056,0.00009904182,0.0000725424,0.000082814266,0.0016737273,0.0009930598,0.00007892522,0.00008443966,0.0006887258,0.000007026382],"about_ca_topic_score_codex":0.121543474,"about_ca_topic_score_gemma":0.097817756,"teacher_disagreement_score":0.121543474,"about_ca_system_score_codex":0.0015850835,"about_ca_system_score_gemma":0.00092515076,"threshold_uncertainty_score":0.24167204},"labels":[],"label_agreement":null},{"id":"W4413291840","doi":"10.3390/economies13080238","title":"Economies of Scale and Scope for Canadian Universities","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; Simon Fraser University","funders":"Simon Fraser University","keywords":"Scope (computer science); Scale (ratio); Economies of scale; Regional science; Business; Economics; Economic geography; Geography; Computer science; Marketing; Cartography","score_opus":0.03102260375201414,"score_gpt":0.3126696071680298,"score_spread":0.2816470034160156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413291840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9173848,0.0021832928,0.010521669,0.00087696174,0.000014838532,0.00017103505,0.00973036,0.00006192736,0.059055194],"genre_scores_gemma":[0.992577,0.000526327,0.0026914782,0.000038623988,0.0000062286513,0.000058868718,0.0024466875,0.000013092465,0.0016416354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710506,0.00028285745,0.00012480677,0.0003180209,0.0015922016,0.00057712215],"domain_scores_gemma":[0.9899142,0.0033807112,0.0019223569,0.00073499576,0.003274461,0.0007732826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003337681,0.0003988641,0.00069198787,0.009099339,0.0014673022,0.0029031385,0.00078509335,0.00028107764,0.0025722366],"category_scores_gemma":[0.01976918,0.00019024726,0.0012214333,0.011091897,0.0012285718,0.0012492405,0.0016431067,0.0005524721,0.00014557314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001347028,0.00007296141,0.73328346,0.00033748132,0.0007144926,0.0002467142,0.0035080381,0.072932236,0.00066296844,0.09781847,0.007978875,0.082309596],"study_design_scores_gemma":[0.00001821551,0.000029772253,0.92849123,0.00014196885,0.00011628529,0.00006634867,0.0025725632,0.027232818,0.00046729986,0.017992241,0.02279679,0.00007453794],"about_ca_topic_score_codex":0.888118,"about_ca_topic_score_gemma":0.8934575,"teacher_disagreement_score":0.9726648,"about_ca_system_score_codex":0.027335228,"about_ca_system_score_gemma":0.015367463,"threshold_uncertainty_score":0.22508168},"labels":[],"label_agreement":null},{"id":"W4415263965","doi":"10.3390/economies13100298","title":"Female Wage Employment and Fertility in Kenya","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Brock University; Bill and Melinda Gates Foundation","keywords":"Fertility; Wage; Context (archaeology); Socioeconomic status; Male female; Point (geometry); Total fertility rate; Hourly wage","score_opus":0.02938020713488691,"score_gpt":0.3103402003899808,"score_spread":0.28095999325509385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415263965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762964,0.00043308234,0.00004874077,0.00017146053,0.000004518999,0.0000043868195,0.0003883134,0.0000010032844,0.001318756],"genre_scores_gemma":[0.99913424,0.00033797047,0.000050320363,0.000021203603,0.000004747009,0.0000046268847,0.00016228516,5.4591607e-7,0.0002840671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996829,0.00012050279,0.000020548485,0.00003157399,0.000053778098,0.00009077257],"domain_scores_gemma":[0.99858093,0.00038673345,0.0007872898,0.000031802287,0.00008438955,0.00012884264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000813336,0.0000974911,0.00016498094,0.00074530137,0.0005925758,0.00040803032,0.00020907976,0.00024449982,0.0025051213],"category_scores_gemma":[0.0025991253,0.0001402205,0.00017929771,0.0013217272,0.00033449664,0.0003253099,0.0003833296,0.00035451003,0.0002226402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019896475,0.000019478139,0.9969457,0.000011333026,0.000012646377,0.00005107457,0.00044542938,0.00005765818,0.000058268055,0.00021210058,0.00012630282,0.0020400626],"study_design_scores_gemma":[9.089887e-7,0.00001898734,0.99863094,0.00001323018,0.0000039889114,0.000060733128,0.0006723385,0.00007442662,0.000025753181,0.00003458668,0.0004620368,0.000002129522],"about_ca_topic_score_codex":0.025639217,"about_ca_topic_score_gemma":0.06466762,"teacher_disagreement_score":0.025639217,"about_ca_system_score_codex":0.0005332314,"about_ca_system_score_gemma":0.0005249502,"threshold_uncertainty_score":0.050979912},"labels":[],"label_agreement":null},{"id":"W4416139165","doi":"10.3390/economies13110326","title":"Ten Lessons from the EU Accession of Ex-Communist Countries","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Russia and Soviet political economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Accession; Productivity; European union; Corporate governance; Order (exchange); Politics; Quality (philosophy)","score_opus":0.0259569163587842,"score_gpt":0.3446657469609178,"score_spread":0.31870883060213356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416139165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625151,0.0017983578,0.00040706,0.013021393,0.000101091704,0.000011494429,0.0002707324,0.000007732368,0.021867028],"genre_scores_gemma":[0.99800223,0.00057592965,0.00010099145,0.00060856686,0.00004157011,0.000004563279,0.000103257305,0.0000052273367,0.00055775756],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984888,0.0007106616,0.000101011385,0.0002086062,0.00015899175,0.00033188213],"domain_scores_gemma":[0.9958215,0.0022456474,0.0008759446,0.00030512142,0.00034311548,0.00040869377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00316327,0.00018327114,0.0005258632,0.0010817462,0.0011564746,0.00424602,0.00067080394,0.0012969181,0.0034325013],"category_scores_gemma":[0.01055264,0.00011514729,0.00029145172,0.0018715906,0.002557778,0.0036374866,0.0024602027,0.0014959346,0.00021472205],"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":[0.00090393284,0.00042604542,0.68199724,0.00044565584,0.0003333946,0.0092989495,0.03311613,0.0064891907,0.001184321,0.1640924,0.015372641,0.08634024],"study_design_scores_gemma":[0.000076841025,0.00028618285,0.7980304,0.0005719213,0.00011208294,0.0013453795,0.09763208,0.0028223814,0.0010583668,0.06477599,0.033205852,0.000082587656],"about_ca_topic_score_codex":0.0063787326,"about_ca_topic_score_gemma":0.009841995,"teacher_disagreement_score":0.0063787326,"about_ca_system_score_codex":0.0010786867,"about_ca_system_score_gemma":0.0008969465,"threshold_uncertainty_score":0.016729116},"labels":[],"label_agreement":null},{"id":"W4416940542","doi":"10.3390/economies13120352","title":"Public Debt and Economic Growth in Africa: The FDI Effect","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Foreign direct investment; Attractiveness; Debt; External debt; Investment (military); Public investment","score_opus":0.022785801135591116,"score_gpt":0.20547380893577227,"score_spread":0.18268800780018116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416940542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916134,0.0013741357,0.00043668612,0.0010541336,0.000011166047,0.0000071105114,0.0006965425,0.000009767001,0.004797029],"genre_scores_gemma":[0.99881685,0.0004240821,0.000048591282,0.000023242357,0.000008226033,0.000002516296,0.00026776563,0.0000014199635,0.00040733628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996979,0.00007246425,0.000022933631,0.000030024928,0.000039844184,0.00013688639],"domain_scores_gemma":[0.99674714,0.00097353983,0.0017255107,0.00008489637,0.0002278567,0.00024100822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080908876,0.0002281403,0.00027353957,0.001075381,0.00030968233,0.0012597679,0.00013273655,0.0002874413,0.0024177572],"category_scores_gemma":[0.0043660495,0.0000947898,0.0002499512,0.0015793068,0.0005460854,0.0011046329,0.00073418097,0.0008879623,0.00021718051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018202781,0.00007156314,0.9749077,0.000076230885,0.00006479745,0.00035804795,0.00033390024,0.006072535,0.00038819324,0.0049718292,0.00078726327,0.011785946],"study_design_scores_gemma":[0.000019729996,0.00010744271,0.9830928,0.00014342433,0.00006393751,0.00026522423,0.001446952,0.00564485,0.0011567434,0.0028035082,0.0052431454,0.000012209148],"about_ca_topic_score_codex":0.013367834,"about_ca_topic_score_gemma":0.013255294,"teacher_disagreement_score":0.013367834,"about_ca_system_score_codex":0.0009924212,"about_ca_system_score_gemma":0.0007621228,"threshold_uncertainty_score":0.026580036},"labels":[],"label_agreement":null}]}