{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"4a04d3eb32c7","filters":{"venue":"Advances in Economics and Management Research"}},"results":[{"id":"W4385506294","doi":"10.56028/aemr.6.1.609.2023","title":"Stock Valuation and Analysis of Amazon, Alibaba, Baidu, and Alphabet","year":2023,"lang":"en","type":"article","venue":"Advances in Economics and Management Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Intrinsic value (animal ethics); Valuation (finance); Financial economics; Growth stock; Stock (firearms); Business; Economics; Earnings; Value (mathematics); Cash flow; Investment value; Econometrics; Cash; Finance; Stock market; Statistics; Mathematics; Geography; Stock market bubble","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.2330200751708422,"gpt":0.4837505650241981,"spread":0.2507304898533559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004397057,0.00007114081,0.0002469341,0.0009599198,0.0001207245,0.0002312495,0.0001932427,0.00003291108,0.0000247084],"category_scores_gemma":[0.0001318389,0.00005650712,0.00003170122,0.001455378,0.0001893712,0.0007416711,0.0004347283,0.0000625132,0.000004567894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001505447,"about_ca_system_score_gemma":0.00001027149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008781456,"about_ca_topic_score_gemma":0.0002470447,"domain_scores_codex":[0.9986931,0.0000774662,0.0003277126,0.0003592651,0.0003153181,0.0002271488],"domain_scores_gemma":[0.9990392,0.0004811498,0.0000780947,0.0002380368,0.0001019827,0.00006147672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002018711,0.00002810148,0.1629438,0.0000395621,0.0001239323,0.000002087448,0.0004389661,0.0009425143,0.00001204033,0.02082136,0.0008332392,0.8137942],"study_design_scores_gemma":[0.0003918429,0.0000580761,0.8308294,0.00001140375,0.0000345794,2.248795e-7,0.002900966,0.07369553,0.000009789496,0.05095946,0.04101262,0.00009605185],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953809,0.001117778,0.0002812251,0.001115429,0.0000454312,0.0002365191,0.00003465657,0.000005291255,0.001782806],"genre_scores_gemma":[0.8725417,0.1265592,0.0002930612,0.00005399511,0.00001040693,0.0000191297,0.00002779523,0.000003676511,0.0004910557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8136981,"threshold_uncertainty_score":0.2304293,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401136039","doi":"10.56028/aemr.11.1.459.2024","title":"Factors about the Corporate Bond Return","year":2024,"lang":"en","type":"article","venue":"Advances in Economics and Management Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Corporate bond; Bond; Business; Financial system; Finance","authors":[{"name":"Yi Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08744587223885178,"gpt":0.3131371353671474,"spread":0.2256912631282956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001917616,0.000165905,0.0002593084,0.0005422527,0.0002295096,0.0003880142,0.0003843898,0.00005616025,0.0000398281],"category_scores_gemma":[0.00002247532,0.0001387175,0.00006676967,0.0004769915,0.0002209639,0.0006622446,0.0003076138,0.0003262986,0.0001757975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001473477,"about_ca_system_score_gemma":0.00001113366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000995837,"about_ca_topic_score_gemma":0.0003333137,"domain_scores_codex":[0.9983125,0.00002015667,0.0004899728,0.0006029158,0.00005109352,0.000523404],"domain_scores_gemma":[0.9993328,0.0001138756,0.000105002,0.0003801388,0.00001630961,0.00005185331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009634276,0.00002074317,0.01483028,0.0001245607,0.00002981378,0.00001613003,0.0002650478,0.0001363568,1.85017e-7,0.9350122,0.0009446202,0.04861047],"study_design_scores_gemma":[0.0001395507,0.00003157319,0.02355221,0.00003992873,0.000002135527,3.999369e-7,0.0003329462,0.002639173,0.000005477643,0.2712533,0.7018616,0.0001417001],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4651252,0.1099906,0.0008181254,0.003078973,0.001798433,0.001367092,0.00009546733,0.00006935708,0.4176567],"genre_scores_gemma":[0.7026849,0.2933484,0.0001048339,0.0001131297,0.00008580808,0.0001098956,0.00000935147,0.00002289219,0.003520719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7009169,"threshold_uncertainty_score":0.5656736,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387443019","doi":"10.56028/aemr.7.1.630.2023","title":"The Analysis of Vital Food Cost","year":2023,"lang":"en","type":"article","venue":"Advances in Economics and Management Research","topic":"Regional Development and Management Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Chart; Price index; Visualization; Computer science; Variety (cybernetics); Index (typography); Econometrics; Sample (material); Statistics; Economics; Data mining; Mathematics; Artificial intelligence","authors":[{"name":"Xinghao Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08098131334119495,"gpt":0.328462430094468,"spread":0.247481116753273,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017909,0.0000860381,0.000267891,0.001276957,0.0002212503,0.00006688335,0.0002827595,0.00002192747,0.000008871855],"category_scores_gemma":[0.00003134735,0.00007966142,0.00006599636,0.001455219,0.0001974101,0.000234617,0.0004808978,0.00007535648,0.00005147406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598653,"about_ca_system_score_gemma":0.000003610678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000207693,"about_ca_topic_score_gemma":0.0005592101,"domain_scores_codex":[0.9988182,0.00001513232,0.0004266802,0.0003276939,0.00004884822,0.0003634914],"domain_scores_gemma":[0.9993896,0.0002120076,0.0001121062,0.0002349579,0.00002093776,0.00003036192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001303672,0.00001734025,0.03209986,0.00003162531,0.0005202772,0.000001585028,0.00008742958,0.001156155,8.388771e-8,0.9352512,0.0006611705,0.03016027],"study_design_scores_gemma":[0.0002657127,0.00003000029,0.1639914,0.000006373133,0.00001298738,4.591502e-8,0.0008832925,0.003459422,0.000002026443,0.1113624,0.7198834,0.0001028451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.418576,0.02283477,0.000523526,0.007612604,0.0007522025,0.001989747,0.0001147099,0.00005985081,0.5475366],"genre_scores_gemma":[0.5843008,0.4124851,0.00007689094,0.00002230144,0.00001109089,0.0001495433,0.00001538617,0.000007078891,0.002931863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8238888,"threshold_uncertainty_score":0.3248498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7115172829","doi":"10.56028/aemr.15.1.121.2025","title":"The Progress of Fintech and the Vulnerability of the Banking System: An Empirical Test from China","year":2025,"lang":"","type":"article","venue":"Advances in Economics and Management Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Systemic risk; Vulnerability (computing); Context (archaeology); China; Corporate governance; FinTech; Financial services; Empirical research","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01839833424456464,"gpt":0.3259072121579332,"spread":0.3075088779133686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005260664,0.0002695818,0.000509438,0.0002970652,0.0008470254,0.0008327194,0.001403365,0.00009053783,0.000006364286],"category_scores_gemma":[0.0005102822,0.0001595734,0.00009910387,0.0009548435,0.00349958,0.001291213,0.003257047,0.0005364675,0.000001582118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379299,"about_ca_system_score_gemma":0.00004797877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006204667,"about_ca_topic_score_gemma":0.00166573,"domain_scores_codex":[0.9972956,0.0001710886,0.0009657186,0.0007179976,0.0002859883,0.0005635888],"domain_scores_gemma":[0.996947,0.001370605,0.0004991014,0.0009857964,0.000181147,0.00001633194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003651809,0.0001932615,0.2640665,0.002214284,0.00008300314,0.000001885816,0.0001384923,0.0001440012,0.000002425252,0.531749,0.0001161116,0.2009258],"study_design_scores_gemma":[0.003663042,0.0001145155,0.4776889,0.003177965,0.0001450491,0.000001195902,0.006072883,0.09530334,0.0001910437,0.2396433,0.1735334,0.0004653436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9188673,0.02053845,0.0001592807,0.006568482,0.0006396058,0.002893596,0.00002968822,0.00001765262,0.05028597],"genre_scores_gemma":[0.9759638,0.02320816,0.00008259674,0.00005813122,0.00007991635,0.000165618,0.000003450448,0.00001814732,0.0004202032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2921057,"threshold_uncertainty_score":0.9992123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417314424","doi":"10.56028/aemr.15.1.426.2025","title":"Strategic Turnaround and Market Resurgence: A Case Study on Luckin Coffee’s Operational Optimization and Brand Revitalization","year":2025,"lang":"","type":"article","venue":"Advances in Economics and Management Research","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Revenue; Supply chain; China; Renminbi; Operational efficiency; Asset (computer security); Brand equity; Corporate governance; Market share","authors":[{"name":"Qingfeng Shen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04175383208453141,"gpt":0.3621238003771532,"spread":0.3203699682926218,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0032627,0.0003087604,0.0003914592,0.0008679949,0.0009274413,0.002119826,0.0001685408,0.0001091889,0.00003742897],"category_scores_gemma":[0.0001665699,0.0003290302,0.00003295781,0.0007844526,0.0003874887,0.002348089,0.0005083492,0.0002789125,0.000001017471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600547,"about_ca_system_score_gemma":0.00006717146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009024916,"about_ca_topic_score_gemma":0.001258697,"domain_scores_codex":[0.9975008,0.0002258319,0.0006236066,0.0008823995,0.0002275911,0.0005397712],"domain_scores_gemma":[0.9990388,0.0002532077,0.0001442111,0.0002752193,0.0002340765,0.00005450573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001294648,0.002228345,0.3050754,0.006680842,0.0004627087,0.001076596,0.002531448,0.06075034,6.337202e-7,0.561368,0.0006611102,0.05786996],"study_design_scores_gemma":[0.01125549,0.0008299927,0.07735174,0.001255833,0.0004419753,0.00003502094,0.3573111,0.3773344,0.000001136505,0.1297366,0.04283658,0.001610069],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456953,0.006150979,0.0001923566,0.001551406,0.0003542797,0.00320498,0.00001479728,0.00001570359,0.04282015],"genre_scores_gemma":[0.9012468,0.09743316,0.00007041403,0.0002624872,0.00012007,0.00008046368,0.000019542,0.00001694494,0.000750114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4316314,"threshold_uncertainty_score":0.9999162,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412842834","doi":"10.56028/aemr.14.1.423.2025","title":"Relationship between consumer behavior and price elasticity with the participation of case analysis","year":2025,"lang":"en","type":"article","venue":"Advances in Economics and Management Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Elasticity (physics); Economics; Microeconomics; Price elasticity of demand; Econometrics; Business; Materials science; Composite material","authors":[{"name":"Jiaxin Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0506383129637509,"gpt":0.3568471904494004,"spread":0.3062088774856495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013555,0.00007703449,0.0001529176,0.000645432,0.00021477,0.0001215601,0.00009230585,0.00002331385,0.000008727233],"category_scores_gemma":[0.00004111354,0.00005989934,0.00001885228,0.0008618843,0.0001892469,0.0004894806,0.0002230851,0.0001234448,9.244243e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181437,"about_ca_system_score_gemma":0.000007418803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003876837,"about_ca_topic_score_gemma":0.00302023,"domain_scores_codex":[0.9992881,0.00003117425,0.0002065617,0.0002203576,0.00007295798,0.0001808434],"domain_scores_gemma":[0.9991614,0.0005140906,0.00008079027,0.000172282,0.00006201564,0.000009486747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000256417,0.0000223215,0.927875,0.0001167104,0.00005150089,0.00001113991,0.00002467412,0.0001441288,3.618909e-7,0.03332772,0.00001027685,0.03839057],"study_design_scores_gemma":[0.0003110457,0.00000611872,0.9869821,0.0000166399,0.000557465,6.343168e-7,0.0003794846,0.001115209,0.000002529021,0.001034022,0.009525867,0.00006886229],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906176,0.0005006642,0.000526261,0.0003510698,0.00001864738,0.0004079334,0.000002195908,0.000006393614,0.0075692],"genre_scores_gemma":[0.9987234,0.0008815816,0.00009328952,0.00003616221,0.00001352542,0.00009976819,0.000005813815,0.000004404202,0.0001420947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05910717,"threshold_uncertainty_score":0.2442624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4417314394","doi":"10.56028/aemr.15.1.416.2025","title":"Research on the Development prospects of China's Internet celebrity market and Internet celebrity economy: Digital field survey based on social media","year":2025,"lang":"","type":"article","venue":"Advances in Economics and Management Research","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Roads University","funders":"","keywords":"The Internet; Influencer marketing; Social media; Digital marketing; Identity (music); Consumption (sociology); Sociology of the Internet; Field (mathematics)","authors":[{"name":"Qi Hou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06688023601619561,"gpt":0.3730288660920163,"spread":0.3061486300758207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01492384,0.0002934553,0.0005000845,0.0008023362,0.0005639253,0.0006130553,0.0009809891,0.0002017218,0.0001752148],"category_scores_gemma":[0.0008035444,0.000267531,0.00006789536,0.0006523781,0.001491923,0.0004038279,0.001234057,0.001049911,0.00001065431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100158,"about_ca_system_score_gemma":0.0004829862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006569892,"about_ca_topic_score_gemma":0.0203112,"domain_scores_codex":[0.9955265,0.001157208,0.0007337345,0.001012843,0.0005087456,0.001060987],"domain_scores_gemma":[0.9938292,0.005259391,0.000161032,0.0003889145,0.00017666,0.0001847859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002088974,0.001245312,0.08885537,0.001215141,0.0002377503,0.0000206167,0.02931391,0.00003929843,4.305004e-7,0.3157158,0.01995216,0.5413153],"study_design_scores_gemma":[0.002598628,0.0007454889,0.4595486,0.0007745601,0.0000182523,2.838834e-7,0.0507153,0.003742732,0.0004972878,0.04325217,0.4374095,0.0006972079],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6100556,0.0007256206,0.0000275429,0.003136137,0.0005125516,0.00147215,0.00003897356,0.000008762034,0.3840227],"genre_scores_gemma":[0.9734948,0.02156934,0.00004596663,0.0001796216,0.0001005096,0.0001724177,0.00001879463,0.00001601293,0.004402579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5406181,"threshold_uncertainty_score":0.9999777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}