{"meta":{"query_hash":"36940000be3e","filters":{"venue":"Chinese Economy"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/36940000be3e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Chinese+Economy"},"results":[{"id":"W1518245335","doi":"10.2753/ces1097-1475450201","title":"Demographic Change, Savings, Investment, and Economic Growth","year":2012,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Investment (military); Economics; China; Demographic change; Human capital; Population growth; Population ageing; Demographic transition; Population; Panel data; Capital (architecture); Development economics; Economic growth; Geography","score_opus":0.02918590933017905,"score_gpt":0.21480233368460863,"score_spread":0.18561642435442957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518245335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850995,0.001164647,0.0005066792,0.0029050054,0.000019522915,0.000014050166,0.0009612912,0.000012376238,0.009316963],"genre_scores_gemma":[0.99748516,0.0009106389,0.00011060059,0.000082280625,0.000011462585,0.0000047451526,0.00038383246,8.9203843e-7,0.0010103317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998785,0.000028347235,0.000006339556,0.000013962148,0.000024057295,0.000048732363],"domain_scores_gemma":[0.99935216,0.00014351853,0.00027850756,0.000026336485,0.00008914295,0.00011039581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049171085,0.00012429373,0.00012378808,0.0005229862,0.00025477554,0.00041795772,0.00010004025,0.00016830127,0.0024162992],"category_scores_gemma":[0.001545885,0.000060501272,0.0001607232,0.00097498856,0.00044612162,0.00062559143,0.0003110025,0.00033284345,0.000118555305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039421822,0.00002724209,0.95865107,0.000037516038,0.000038095022,0.00015086759,0.00033232663,0.004698465,0.00018851724,0.016603818,0.0015323618,0.01770027],"study_design_scores_gemma":[0.0000053291956,0.000037895414,0.9826963,0.000029147925,0.00002486949,0.00005457106,0.00061109464,0.004898819,0.0002765763,0.0053162314,0.0060420046,0.00000726281],"about_ca_topic_score_codex":0.046735868,"about_ca_topic_score_gemma":0.0805338,"teacher_disagreement_score":0.046735868,"about_ca_system_score_codex":0.0013788824,"about_ca_system_score_gemma":0.0010210351,"threshold_uncertainty_score":0.092927694},"labels":[],"label_agreement":null},{"id":"W2032571956","doi":"10.2753/ces1097-1475450501","title":"Regional Differences in the Economic Consequences of the New Accounting Standards","year":2012,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accounting; Christian ministry; International Financial Reporting Standards; China; Financial accounting; Quarter (Canadian coin); Accounting standard; Business; Accounting information system; Economics; Geography; Political science","score_opus":0.013982796066198507,"score_gpt":0.2259896268998208,"score_spread":0.2120068308336223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032571956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915706,0.00031476963,0.00019506093,0.0002778362,0.000013659556,0.000014356544,0.00021940244,0.000005999052,0.007388306],"genre_scores_gemma":[0.99922645,0.00009958775,0.000061472005,0.000033388205,0.0000042200754,0.0000025281302,0.00013551555,0.0000020703142,0.0004347276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983632,0.00046604106,0.00013967011,0.00025441532,0.00036274898,0.00041381232],"domain_scores_gemma":[0.99333125,0.0013350628,0.0026659728,0.00064502185,0.0017228639,0.00029988136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026512244,0.00013533431,0.00027438064,0.0008229198,0.00036308143,0.0011694494,0.00041402417,0.00024611244,0.0013033182],"category_scores_gemma":[0.0074573606,0.00012193763,0.00058300473,0.0013242933,0.0006908238,0.00056613894,0.0007867253,0.0005088591,0.00015253515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005051954,0.00011396915,0.9390884,0.00012741149,0.00044805623,0.0010311895,0.0044504898,0.0054903226,0.004707628,0.01110251,0.0014220593,0.031512793],"study_design_scores_gemma":[0.0000046953132,0.00003593674,0.9955259,0.000011068962,0.00005214075,0.000041860967,0.0015348223,0.00042008015,0.0006892596,0.0002500652,0.0014205283,0.000013544475],"about_ca_topic_score_codex":0.030380988,"about_ca_topic_score_gemma":0.047620896,"teacher_disagreement_score":0.030380988,"about_ca_system_score_codex":0.0014784695,"about_ca_system_score_gemma":0.00089372107,"threshold_uncertainty_score":0.060408294},"labels":[],"label_agreement":null},{"id":"W2144384253","doi":"10.2753/ces1097-1475430305","title":"Reconstruction of Rural Mutual Assistance Funding Cooperatives","year":2010,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Agriculture; Rural area; Finance; Construct (python library); Service (business); Quarter (Canadian coin); Economic growth; Capital (architecture); Financial services; Population; Economics; Marketing; Political science","score_opus":0.014602910254102075,"score_gpt":0.22714953400438867,"score_spread":0.2125466237502866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144384253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.826621,0.000587951,0.008786025,0.0053170775,0.00010643264,0.00040833556,0.0005262202,0.00017899046,0.15746792],"genre_scores_gemma":[0.9447617,0.0002287506,0.0036833952,0.00018215025,0.000018201734,0.0001364664,0.00025865872,0.0000139264375,0.050716665],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99895823,0.00023513526,0.000026703116,0.00009571065,0.00019710301,0.00048711544],"domain_scores_gemma":[0.9988123,0.000116848496,0.00020619607,0.000101089136,0.00039281085,0.00037072663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015401506,0.00017185808,0.0001351133,0.0012954362,0.0028075662,0.0016215583,0.00082255015,0.0007553937,0.008093894],"category_scores_gemma":[0.003692225,0.00018505611,0.00013831882,0.0014753282,0.001056777,0.0013208016,0.002375601,0.00087404373,0.0007543902],"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":[0.0002484451,0.00031968503,0.06370809,0.00018569687,0.000018768102,0.005766818,0.014366118,0.0052691693,0.0017977551,0.715651,0.029404165,0.16326436],"study_design_scores_gemma":[0.00008645131,0.00036570846,0.10079608,0.00021825332,0.000026203126,0.002321205,0.026971914,0.01417669,0.0014683267,0.044234823,0.80925286,0.00008158845],"about_ca_topic_score_codex":0.020081654,"about_ca_topic_score_gemma":0.021231813,"teacher_disagreement_score":0.020081654,"about_ca_system_score_codex":0.0038139685,"about_ca_system_score_gemma":0.008063414,"threshold_uncertainty_score":0.03992951},"labels":[],"label_agreement":null},{"id":"W2213381076","doi":"10.1080/10971475.2015.1081806","title":"Property Rights and Investment Among Chinese Firms: The Importance of Sunk Costs","year":2015,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Housing Market 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":"Heritage College","funders":"","keywords":"Sunk costs; Property rights; Investment (military); Asset specificity; Asset (computer security); Economics; Business; Intangible asset; Microeconomics; Monetary economics; Transaction cost; Finance","score_opus":0.02024497646699142,"score_gpt":0.21096432957882663,"score_spread":0.19071935311183522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213381076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987569,0.00010591997,0.000055326167,0.00012357475,0.0000013160837,0.0000027154845,0.00005495187,7.860232e-7,0.0008985853],"genre_scores_gemma":[0.99979204,0.00003156464,0.000012605083,0.000007659103,0.0000028886952,6.292098e-7,0.00003828292,2.8576218e-7,0.0001140578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948967,0.00007650062,0.000049365106,0.00008958921,0.00015697222,0.00013801441],"domain_scores_gemma":[0.9917133,0.0017309767,0.004960673,0.0005382056,0.00038234983,0.0006745321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683868,0.00014125193,0.00025274395,0.0010467691,0.00044982458,0.0009342449,0.0003351625,0.0003515802,0.002254718],"category_scores_gemma":[0.0043711658,0.00011868505,0.00022388442,0.0014488057,0.0011203127,0.0010396868,0.00061740034,0.0004285864,0.00008662412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034185494,0.000027403374,0.9944246,0.000013087771,0.000034425793,0.00010713457,0.00038850986,0.00026010338,0.0002479917,0.00072167197,0.000066063956,0.0036748399],"study_design_scores_gemma":[0.0000015078357,0.0000090194735,0.9990102,0.000003515254,0.0000072226976,0.000021357413,0.00021303393,0.00030978967,0.000058467627,0.00023290075,0.00013033586,0.0000026587497],"about_ca_topic_score_codex":0.029002625,"about_ca_topic_score_gemma":0.042713493,"teacher_disagreement_score":0.029002625,"about_ca_system_score_codex":0.0011580532,"about_ca_system_score_gemma":0.0005914459,"threshold_uncertainty_score":0.057667673},"labels":[],"label_agreement":null},{"id":"W2946270725","doi":"10.1080/10971475.2018.1559092","title":"Roads to Prosperity? Determinants of FDI in China and ASEAN","year":2019,"lang":"en","type":"article","venue":"Chinese Economy","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Foreign direct investment; China; Prosperity; Business; East Asia; International trade; International economics; Greenfield project; Economics; Economic geography; Geography; Economic growth","score_opus":0.005301239043392789,"score_gpt":0.2184985582773896,"score_spread":0.21319731923399682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946270725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435544,0.0001820331,0.00006866264,0.0005935922,0.0000057319553,0.0000042812776,0.00035237087,0.0000049300284,0.0044329762],"genre_scores_gemma":[0.99869764,0.00013793437,0.000027389322,0.000032311033,0.000004971022,0.0000025666618,0.00021852808,0.0000010054453,0.0008775912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997949,0.000040573264,0.00001796572,0.000033696237,0.00004066845,0.000072152405],"domain_scores_gemma":[0.99732226,0.00043973414,0.0012070758,0.00010263822,0.00036414483,0.0005641142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005286358,0.00013587196,0.00013560726,0.00088213687,0.00048961694,0.00082640845,0.00020643724,0.00024707263,0.0047582746],"category_scores_gemma":[0.0017197309,0.000073671385,0.0002667272,0.0015177095,0.00083063805,0.0008280152,0.00083659595,0.00052360573,0.00025543763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119609695,0.000019357884,0.99307245,0.000012864902,0.00002653662,0.00015452606,0.0004904743,0.00062582426,0.00007032044,0.0014378598,0.00080624403,0.0032717115],"study_design_scores_gemma":[0.0000014816011,0.000011772526,0.99565214,0.000015754897,0.000013834778,0.000043419972,0.0012665727,0.00086358504,0.00005444978,0.0002320933,0.0018400514,0.000004846562],"about_ca_topic_score_codex":0.09552369,"about_ca_topic_score_gemma":0.13279052,"teacher_disagreement_score":0.09552369,"about_ca_system_score_codex":0.00093111413,"about_ca_system_score_gemma":0.0013558258,"threshold_uncertainty_score":0.18993533},"labels":[],"label_agreement":null},{"id":"W3004475486","doi":"10.1080/10971475.2020.1720956","title":"Challenges and Opportunities in China’s Financial Markets","year":2020,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"China; Financial market; Business; Financial system; Economics; Finance; Political science","score_opus":0.0702337196639919,"score_gpt":0.21861904325265652,"score_spread":0.14838532358866463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004475486","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20798291,0.059656695,0.002779167,0.637196,0.0022922105,0.00008076032,0.0008387145,0.000119114266,0.08905452],"genre_scores_gemma":[0.93532705,0.025615491,0.0015319973,0.020768607,0.002329531,0.00006726096,0.00027685135,0.000025539655,0.014057601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998865,0.00019399247,0.000045037566,0.00013474873,0.00032325063,0.00043793613],"domain_scores_gemma":[0.9978377,0.00036730155,0.0002753744,0.000052361258,0.00045407753,0.0010131989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00409298,0.00045153868,0.0008112052,0.0012715269,0.0030802477,0.007566073,0.0015695601,0.0047409995,0.013074403],"category_scores_gemma":[0.0037531094,0.00024220905,0.00042499762,0.0017093705,0.003960135,0.008623681,0.0028087252,0.0032334293,0.0007533033],"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":[0.00013238586,0.00015232433,0.0147502,0.0004952678,0.000056442783,0.0020698975,0.002733448,0.0036393527,0.0011810005,0.74970204,0.12013433,0.10495333],"study_design_scores_gemma":[0.00015808683,0.00017080143,0.045106247,0.00061577273,0.00003830341,0.0006096011,0.011320657,0.016446097,0.00060453214,0.5526597,0.37206987,0.00020034156],"about_ca_topic_score_codex":0.030545188,"about_ca_topic_score_gemma":0.031914283,"teacher_disagreement_score":0.030545188,"about_ca_system_score_codex":0.005823923,"about_ca_system_score_gemma":0.019264488,"threshold_uncertainty_score":0.06073475},"labels":[],"label_agreement":null},{"id":"W3004570083","doi":"10.1080/10971475.2020.1722359","title":"In Search of the Best Interest Rate for Group Lending: Toward a Win–Win Solution for SMEs and Commercial Banks in China","year":2020,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Dilemma; Default; China; Business; Interest rate; Group (periodic table); Monetary economics; Finance; Economics","score_opus":0.05915710376679397,"score_gpt":0.2746739363086508,"score_spread":0.2155168325418568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004570083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87229174,0.00047797794,0.113802396,0.0032711062,0.00003340914,0.00020684476,0.000043749613,0.00009325198,0.009779577],"genre_scores_gemma":[0.9939733,0.00012314392,0.0047348817,0.000049433824,0.000008574253,0.000046304118,0.000008386741,0.000005228435,0.0010507808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992173,0.00037699917,0.000030142146,0.000121688056,0.00006796324,0.00018590178],"domain_scores_gemma":[0.99894315,0.00051966816,0.00017549626,0.00003404682,0.000112849506,0.0002146961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021783735,0.00057197304,0.0009774175,0.0006571759,0.0011114617,0.0018192892,0.0012759854,0.001852681,0.0022978552],"category_scores_gemma":[0.003430794,0.00037783346,0.0005227485,0.00043443518,0.0011928895,0.0018233965,0.0017006488,0.0008839609,0.000109831104],"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":[0.00047786682,0.0003356598,0.014698845,0.00028165063,0.000114739334,0.0013323725,0.0015367642,0.8010419,0.0042085038,0.13548279,0.0027617812,0.037727103],"study_design_scores_gemma":[0.00011275859,0.00006824716,0.0014071059,0.00001925018,0.000027816308,0.000049106686,0.0007121429,0.9524712,0.00038595812,0.044012226,0.0007156297,0.00001852107],"about_ca_topic_score_codex":0.015283488,"about_ca_topic_score_gemma":0.01017896,"teacher_disagreement_score":0.015283488,"about_ca_system_score_codex":0.0021179738,"about_ca_system_score_gemma":0.0035831018,"threshold_uncertainty_score":0.03038907},"labels":[],"label_agreement":null},{"id":"W4391448834","doi":"10.1080/10971475.2024.2310328","title":"Culture and Economic Development in Late Comers: Comparing China and India","year":2024,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Migration, Ethnicity, and 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":"Toronto Metropolitan University","funders":"","keywords":"China; History; Development economics; Economics; Archaeology","score_opus":0.01410334597543382,"score_gpt":0.27273256623734166,"score_spread":0.2586292202619078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391448834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99490106,0.00043332862,0.000016994923,0.00025490284,0.000010216329,0.0000030538354,0.00007690594,0.000001299697,0.0043021627],"genre_scores_gemma":[0.99923694,0.00029040856,0.000012436051,0.00004086855,0.000008209261,0.0000022752772,0.000080912636,0.0000011898151,0.00032672318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966824,0.00005668149,0.000016786427,0.000028426648,0.000052209565,0.00017763964],"domain_scores_gemma":[0.9988508,0.00013923272,0.0003216841,0.00004719037,0.00022420706,0.00041682765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004240731,0.00020984729,0.00020752067,0.0021870846,0.001142672,0.0014941314,0.00032672533,0.00021234425,0.0019834181],"category_scores_gemma":[0.001190046,0.00008526288,0.00035256345,0.002622572,0.001058262,0.000613905,0.0012929296,0.0005456273,0.00016099805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012838338,0.00010048311,0.9642526,0.00005856568,0.00011903715,0.0006853826,0.017808577,0.00016298884,0.00026072806,0.0038854687,0.0008105518,0.01172735],"study_design_scores_gemma":[0.0000039133542,0.000038821137,0.9836547,0.00003316437,0.00003192825,0.00009859724,0.0140360175,0.00011754527,0.00008588813,0.00019021453,0.0017013379,0.000007927419],"about_ca_topic_score_codex":0.07971192,"about_ca_topic_score_gemma":0.08363924,"teacher_disagreement_score":0.07971192,"about_ca_system_score_codex":0.001421973,"about_ca_system_score_gemma":0.0013669053,"threshold_uncertainty_score":0.1584959},"labels":[],"label_agreement":null},{"id":"W4396888406","doi":"10.1080/10971475.2024.2350125","title":"China-Mexico Economic Relationship in the Context of China’s Penetration in Latin America","year":2024,"lang":"en","type":"article","venue":"Chinese Economy","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Latin Americans; Context (archaeology); Penetration (warfare); Geography; Political science; Development economics; Economy; Economics; Archaeology; Management","score_opus":0.01640496307598591,"score_gpt":0.2928822572105067,"score_spread":0.27647729413452077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396888406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473054,0.0025124822,0.00008155774,0.004568999,0.000022230126,0.000013221139,0.00018213176,0.0000052687296,0.04530865],"genre_scores_gemma":[0.99492514,0.0016414594,0.000049438102,0.00020487887,0.00001591971,0.000007977214,0.00010346569,0.0000022199595,0.0030495788],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997862,0.000034291494,0.0000057416137,0.000020778818,0.000026670508,0.00012633273],"domain_scores_gemma":[0.9997236,0.000045927733,0.00009406178,0.000007648127,0.000039347287,0.000089396104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040519293,0.00011748271,0.00015696604,0.0010295386,0.0019690176,0.002333952,0.00026856578,0.0003919291,0.004102923],"category_scores_gemma":[0.0005861989,0.00006575833,0.00013112504,0.0026636804,0.00094134465,0.0009105557,0.0015397861,0.00054014055,0.000075661366],"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":[0.0001332543,0.00017114465,0.7064716,0.00028810085,0.000094502975,0.008520369,0.035404965,0.0014479778,0.00108052,0.19924328,0.010638554,0.036505688],"study_design_scores_gemma":[0.000013901701,0.00004735044,0.85782796,0.00033149068,0.000051620947,0.000606782,0.050872557,0.0011903577,0.0003187703,0.002999888,0.085713014,0.000026314257],"about_ca_topic_score_codex":0.09765279,"about_ca_topic_score_gemma":0.14156818,"teacher_disagreement_score":0.09765279,"about_ca_system_score_codex":0.0049281195,"about_ca_system_score_gemma":0.0029810625,"threshold_uncertainty_score":0.1941688},"labels":[],"label_agreement":null},{"id":"W4413353709","doi":"10.1080/10971475.2025.2540679","title":"Explore the Optimal Investment-Reinsurance Strategy for Chinese Insurance Companies Under Catastrophe Risks","year":2025,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Insurance and Financial Risk Management","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 Windsor","funders":"","keywords":"Reinsurance; Investment (military); Business; Actuarial science; Finance; Economics; Financial economics","score_opus":0.055067240283262896,"score_gpt":0.28356729298719086,"score_spread":0.22850005270392795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413353709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89972377,0.00095566275,0.08724813,0.002207746,0.000035550718,0.00025620524,0.00014697372,0.000069529364,0.009356386],"genre_scores_gemma":[0.9950472,0.00032606395,0.0031816994,0.00004067519,0.0000086552445,0.0000421503,0.000029300592,0.000005625869,0.0013186173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995271,0.00013307636,0.00002263156,0.00007718311,0.00005438647,0.00018574229],"domain_scores_gemma":[0.99897254,0.0004745157,0.00025496568,0.00002563169,0.00011674047,0.00015564528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016524941,0.0009670422,0.001082707,0.0009297122,0.0006766143,0.0015117322,0.0011485043,0.0019722371,0.0025773444],"category_scores_gemma":[0.0030980336,0.0005960694,0.0009117241,0.00035176388,0.0007969505,0.0014994051,0.0011781013,0.0011972864,0.00011075894],"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":[0.00022290835,0.00021732459,0.008567206,0.00021409467,0.00015213879,0.00080292096,0.00034727308,0.9279789,0.005898763,0.04321182,0.001048101,0.011338555],"study_design_scores_gemma":[0.0000449905,0.00010222534,0.0023612399,0.00001918511,0.000081229635,0.000041762425,0.00015942837,0.9889755,0.00068453216,0.007248963,0.00026037474,0.0000205848],"about_ca_topic_score_codex":0.024720384,"about_ca_topic_score_gemma":0.010120642,"teacher_disagreement_score":0.024720384,"about_ca_system_score_codex":0.0029695383,"about_ca_system_score_gemma":0.003585285,"threshold_uncertainty_score":0.04915297},"labels":[],"label_agreement":null},{"id":"W4413913097","doi":"10.1080/10971475.2025.2540676","title":"Antecedents of E-CNY Adoption in China: A Cluster Analysis-Based UTAUT Model","year":2025,"lang":"en","type":"article","venue":"Chinese Economy","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"China; Cluster (spacecraft); Economic geography; Business; Econometrics; Economics; Geography; Computer science","score_opus":0.03583439897860697,"score_gpt":0.3696539152557551,"score_spread":0.3338195162771481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413913097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897808,0.0000958379,0.0042905346,0.00037163403,0.000006739075,0.00011623248,0.0001572342,0.000039264076,0.00514174],"genre_scores_gemma":[0.99857163,0.00006883007,0.0007839548,0.000009415481,0.0000024634237,0.00004174472,0.00007546869,0.0000030308172,0.00044343385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985343,0.0004158397,0.0001407595,0.00026317884,0.000334179,0.0003116501],"domain_scores_gemma":[0.9960568,0.0019317009,0.00074742263,0.00022191808,0.0007823512,0.00025969802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022808416,0.00053901755,0.0005314595,0.0030249574,0.0012494143,0.0018862231,0.0006152282,0.0005610815,0.0031882613],"category_scores_gemma":[0.0058318465,0.00032212006,0.0008974492,0.0031988004,0.0012791558,0.0014920727,0.0013393016,0.0005331742,0.00028101145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001075349,0.00030787606,0.92432356,0.00017612116,0.00016114599,0.00077316957,0.00740743,0.01359908,0.0014613391,0.018673245,0.0010695463,0.031939857],"study_design_scores_gemma":[0.00003059449,0.00018845726,0.79026204,0.00015969272,0.00019760778,0.00027349908,0.008260297,0.18828738,0.0009706839,0.008547739,0.0027445003,0.00007749317],"about_ca_topic_score_codex":0.044881735,"about_ca_topic_score_gemma":0.0340906,"teacher_disagreement_score":0.044881735,"about_ca_system_score_codex":0.0033979283,"about_ca_system_score_gemma":0.0045187217,"threshold_uncertainty_score":0.08924097},"labels":[],"label_agreement":null}]}