{"meta":{"query_hash":"f621bd3e7acb","filters":{"venue":"Quantitative Finance and Economics"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/f621bd3e7acb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Quantitative+Finance+and+Economics"},"results":[{"id":"W2573751300","doi":"10.3934/qfe.2017.2.125","title":"A Spatial Interpolation Framework for Efficient Valuation of Large Portfolios of Variable Annuities","year":2017,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":22,"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 Toronto","funders":"","keywords":"Computer science; Valuation (finance); Portfolio; Key (lock); Monte Carlo method; Interpolation (computer graphics); Forcing (mathematics); Econometrics; Actuarial science; Mathematical optimization; Finance; Economics; Mathematics; Artificial intelligence; Statistics","score_opus":0.051695398181589816,"score_gpt":0.35331572642132764,"score_spread":0.30162032823973783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573751300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8666919,0.0001177638,0.12938632,0.00010110378,0.0003688193,0.0003988592,0.00015398234,0.0000056324366,0.0027756058],"genre_scores_gemma":[0.98174167,0.0004870611,0.017600022,0.000022569504,0.000048456826,0.000028028275,0.0000081698045,0.000005941407,0.000058066005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9992977,0.00003741957,0.00027779661,0.00016032423,0.00006882419,0.0001579805],"domain_scores_gemma":[0.99887794,0.00013924544,0.0006267554,0.00018356177,0.00015657228,0.00001595066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106587,0.00007123453,0.00020750845,0.000072507835,0.0004138581,0.000046746794,0.00015154594,0.000064111686,0.000011584196],"category_scores_gemma":[0.0003271046,0.00007974389,0.000058771515,0.000039074002,0.00030669948,0.00023967733,0.00003956404,0.000040279974,0.0000011161483],"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":[0.000054548847,0.00005247443,0.05047997,0.000045753106,0.000027582188,5.6220678e-8,0.0069076177,0.00037698916,0.0000066328507,0.9404889,0.000036055826,0.001523461],"study_design_scores_gemma":[0.0009331431,0.00038137485,0.4714943,0.00023598739,0.00007633202,9.712159e-8,0.011297875,0.06925607,0.00026574734,0.4392669,0.00649875,0.0002934316],"about_ca_topic_score_codex":0.001646357,"about_ca_topic_score_gemma":0.0011744273,"teacher_disagreement_score":0.50122195,"about_ca_system_score_codex":0.000021840018,"about_ca_system_score_gemma":0.00006387948,"threshold_uncertainty_score":0.32518613},"labels":[],"label_agreement":null},{"id":"W2800856600","doi":"10.3934/qfe.2018.2.325","title":"A new variant of estimation approach to asymmetric stochastic volatilitymodel","year":2018,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Financial Risk and Volatility Modeling","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":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stochastic volatility; Volatility (finance); Inference; Estimation; Benchmark (surveying); Computer science; Econometrics; Metropolis–Hastings algorithm; Stochastic modelling; Simple (philosophy); Mathematical optimization; Mathematics; Statistics; Markov chain Monte Carlo; Artificial intelligence; Economics; Bayesian probability","score_opus":0.05624929211471776,"score_gpt":0.2612364098276421,"score_spread":0.20498711771292435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800856600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36801568,0.0005044243,0.6260301,0.000077599725,0.00014721227,0.00020676521,0.000092997456,0.000012672478,0.0049125603],"genre_scores_gemma":[0.8250039,0.00009615218,0.17451894,0.00007907399,0.000065167675,0.0000133198255,0.000010032724,0.000019258076,0.00019410734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998327,0.000010805169,0.00077756745,0.00056798075,0.000025268204,0.00029135201],"domain_scores_gemma":[0.9990426,0.00009122255,0.00037263922,0.00031442352,0.00008010335,0.00009906005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055110035,0.00019350639,0.0005559827,0.00037978427,0.00012927488,0.000046240166,0.00018491814,0.00010906947,0.000015928377],"category_scores_gemma":[0.00030950195,0.00023758384,0.00007886509,0.00043334172,0.000100655074,0.0004071417,0.00007809526,0.000106965526,0.00016043668],"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":[0.00010791479,0.00007493322,0.0013195457,0.000031389514,0.000025506333,1.3624167e-7,0.0025129677,0.019832924,0.0000046428468,0.96399164,0.00023709127,0.011861334],"study_design_scores_gemma":[0.00038994107,0.00032886228,0.010912664,0.000023304965,0.000007393285,0.0000018834902,0.00008462802,0.84700626,0.000036556597,0.14001493,0.0009438439,0.0002497395],"about_ca_topic_score_codex":0.0006838925,"about_ca_topic_score_gemma":0.000045643872,"teacher_disagreement_score":0.82717335,"about_ca_system_score_codex":0.00006802418,"about_ca_system_score_gemma":0.00007067161,"threshold_uncertainty_score":0.96883875},"labels":[],"label_agreement":null},{"id":"W2805895105","doi":"10.3934/qfe.2018.2.413","title":"Applications of random-matrix theory and nonparametric change-pointanalysis to three notable systemic crises","year":2018,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Complex Systems and Time Series Analysis","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":"University of Waterloo","funders":"","keywords":"Nonparametric statistics; Econometrics; Divergence (linguistics); Asset (computer security); Random matrix; Mathematics; Eigenvalues and eigenvectors; Parametric statistics; Aggregate (composite); Nonlinear system; Economics; Statistics; Physics; Computer science","score_opus":0.04316188764991827,"score_gpt":0.27432171299228975,"score_spread":0.23115982534237148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805895105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8626003,0.016681822,0.11659821,0.00023798432,0.000117351876,0.00069503346,0.0004179477,0.000019991261,0.0026313558],"genre_scores_gemma":[0.99285465,0.0025253186,0.00368292,0.000092844115,0.000108201304,0.00018165146,0.000009189963,0.000022644243,0.0005225851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983606,0.000025488203,0.00080082443,0.0005352343,0.000022363078,0.00025554377],"domain_scores_gemma":[0.99856955,0.00028602115,0.0005673509,0.00038925855,0.00010931819,0.000078497564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009050226,0.00019611472,0.00089002104,0.0005877502,0.00020774912,0.000078017205,0.00018106891,0.00007355177,0.0001320636],"category_scores_gemma":[0.00011082875,0.00021498908,0.0001312575,0.0007355147,0.00019829527,0.0003084362,0.00010756548,0.00006380129,0.00022413113],"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":[0.00016150647,0.000039368715,0.025247997,0.000105910796,0.00024617472,3.4807024e-7,0.0011476784,0.00009594445,0.000015568206,0.9668375,0.00008983271,0.0060121194],"study_design_scores_gemma":[0.006387479,0.002648414,0.09466489,0.00043533248,0.0006785319,0.000065284985,0.007999805,0.10366784,0.0005127843,0.5410708,0.2386602,0.0032086177],"about_ca_topic_score_codex":0.0009981733,"about_ca_topic_score_gemma":0.0006428269,"teacher_disagreement_score":0.42576674,"about_ca_system_score_codex":0.00004669041,"about_ca_system_score_gemma":0.000015550073,"threshold_uncertainty_score":0.87670004},"labels":[],"label_agreement":null},{"id":"W2955105953","doi":"10.3934/qfe.2019.3.440","title":"A recursive pricing method for autocallables under multivariate subordination","year":2019,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","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":"University of Ottawa","funders":"","keywords":"Subordinator; Lévy process; Multivariate statistics; Subordination (linguistics); Exponential function; Eigenfunction; Measure (data warehouse); Mathematics; Econometrics; Function (biology); Applied mathematics; Class (philosophy); Mathematical economics; Computer science; Mathematical analysis; Statistics; Physics; Linguistics","score_opus":0.043826847551823145,"score_gpt":0.29589944004626645,"score_spread":0.2520725924944433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955105953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09603423,0.0009174173,0.89855117,0.00081883057,0.00024335527,0.00066845224,0.00025142333,0.00002363189,0.0024914779],"genre_scores_gemma":[0.60417837,0.00057463296,0.39306706,0.00057309575,0.00008790536,0.0004054718,0.00006517756,0.000052596544,0.0009956759],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871045,0.0000041183016,0.00046519603,0.00053945143,0.000012087787,0.0002686696],"domain_scores_gemma":[0.9989624,0.00030484528,0.00043098486,0.0001898507,0.00007557186,0.000036348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040132488,0.00016394557,0.0004157455,0.00013015348,0.00015856927,0.00006387346,0.00012969425,0.00010437011,0.000018725084],"category_scores_gemma":[0.00010669588,0.00019769651,0.00007833348,0.00015665466,0.00004283732,0.0003325359,0.00004056005,0.00008499581,0.000191934],"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":[0.000043432457,0.000031526695,0.0006020827,0.00004041962,0.000028575694,6.966404e-8,0.00045723954,0.0012224078,0.00003836316,0.9954161,0.00004333612,0.0020764412],"study_design_scores_gemma":[0.0008059083,0.0002110354,0.010488318,0.000025508214,0.000008493311,0.0000017727849,0.0003404508,0.11103865,0.00008712028,0.8562709,0.020416318,0.00030553027],"about_ca_topic_score_codex":0.00019602927,"about_ca_topic_score_gemma":0.000035759687,"teacher_disagreement_score":0.50814414,"about_ca_system_score_codex":0.00008684602,"about_ca_system_score_gemma":0.00003594482,"threshold_uncertainty_score":0.806183},"labels":[],"label_agreement":null},{"id":"W2966915055","doi":"10.3934/qfe.2020028","title":"Cheap signals in security token offerings (STOs)","year":2020,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Security token; Business; Information asymmetry; Transparency (behavior); Incentive; Cheating; Cheap talk; Clearing; Settlement (finance); Finance; Economics; Computer security; Microeconomics; Payment","score_opus":0.0362223482767144,"score_gpt":0.22736493942526942,"score_spread":0.19114259114855503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966915055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97695804,0.00028849408,0.00027728622,0.0016684931,0.00010268487,0.0001898439,0.000015963024,0.00005148974,0.020447707],"genre_scores_gemma":[0.9969182,0.00024133768,0.00031076465,0.0022428385,0.00016808146,0.000017922253,0.000012806125,0.000024955807,0.00006312031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989316,0.000004668083,0.00032011763,0.00040843547,0.000041612835,0.00029356644],"domain_scores_gemma":[0.999592,0.00004974369,0.00020553323,0.00009977525,0.000039097104,0.000013822104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019470116,0.00019472827,0.00032528996,0.00010768329,0.000072952025,0.00021594584,0.0001798205,0.00006681255,0.000030587908],"category_scores_gemma":[0.00013321181,0.00022279189,0.000051843403,0.0002719974,0.00009871287,0.0019365533,0.00017300024,0.00016254059,0.00032989224],"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":[0.00027824185,0.00012380315,0.13015616,0.0006026196,0.000033117467,0.000038231592,0.0017774999,0.0012451605,0.0005089835,0.8492353,0.0059116036,0.010089301],"study_design_scores_gemma":[0.0028652402,0.00026147132,0.20904186,0.0004090144,0.000035274992,0.0000045890806,0.0018969129,0.15528841,0.0013974714,0.1212491,0.5055392,0.0020114577],"about_ca_topic_score_codex":0.00020486178,"about_ca_topic_score_gemma":0.00017400453,"teacher_disagreement_score":0.72798616,"about_ca_system_score_codex":0.000032928285,"about_ca_system_score_gemma":0.000017916229,"threshold_uncertainty_score":0.90851897},"labels":[],"label_agreement":null},{"id":"W2983077889","doi":"10.3934/qfe.2019.4.661","title":"Trajectorial asset models with operational assumptions","year":2019,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Stochastic processes and financial applications","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":"York University; Toronto Metropolitan University","funders":"","keywords":"Trajectory; Asset (computer security); Computer science; Observable; Portfolio; Minimax; Class (philosophy); Mathematical optimization; Mathematical economics; Econometrics; Economics; Finance; Mathematics; Artificial intelligence","score_opus":0.040043925886883276,"score_gpt":0.23302782875853303,"score_spread":0.19298390287164977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983077889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5738304,0.0007910381,0.40946653,0.0005380606,0.00031870863,0.00036590925,0.0005542687,0.000027285285,0.014107769],"genre_scores_gemma":[0.97559893,0.00046502912,0.02295388,0.00021978038,0.00010587057,0.00011314979,0.00006457508,0.000024168306,0.00045459525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989568,0.0000022900917,0.00035627116,0.00045156307,0.000017990076,0.00021507737],"domain_scores_gemma":[0.99943596,0.00006959471,0.00020733374,0.00019855746,0.000046133355,0.000042424774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015124657,0.0001525122,0.00032725406,0.000092945855,0.00014972416,0.00008598817,0.00012700795,0.00007781077,0.0000693073],"category_scores_gemma":[0.000014629629,0.00016518519,0.000044953547,0.00013153773,0.000075781216,0.00059673906,0.000029035113,0.00011202687,0.0005704871],"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":[0.000037862803,0.00003917185,0.0025935604,0.000010717126,0.000022389493,2.3105493e-7,0.00024248929,0.0032788396,0.0000055773053,0.9935277,0.000075506505,0.00016595866],"study_design_scores_gemma":[0.0012095877,0.00039307837,0.019196196,0.00002310792,0.000009092656,0.0000079842075,0.00018871232,0.07915254,0.000019159166,0.86848104,0.030806812,0.000512661],"about_ca_topic_score_codex":0.000095898205,"about_ca_topic_score_gemma":0.00006178696,"teacher_disagreement_score":0.40176854,"about_ca_system_score_codex":0.000048086877,"about_ca_system_score_gemma":0.00005329839,"threshold_uncertainty_score":0.7332648},"labels":[],"label_agreement":null},{"id":"W3015399216","doi":"10.3934/qfe.2020011","title":"International economic policy uncertainty and stock market returns of Bangladesh: evidence from linear and nonlinear model","year":2020,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Economics; Stock (firearms); China; Stock market; Financial economics; Monetary economics; Geography","score_opus":0.06570383970098319,"score_gpt":0.2843573087715044,"score_spread":0.2186534690705212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015399216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987213,0.0016742102,0.0024893638,0.0031731578,0.00010425669,0.00017492811,0.0026295695,0.000011596813,0.00252991],"genre_scores_gemma":[0.96573687,0.017543333,0.016059324,0.00033485875,0.00012271921,0.000009261648,0.000041101037,0.000022025235,0.00013051879],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984988,0.000018043887,0.00064939394,0.00061941746,0.000018177909,0.00019617373],"domain_scores_gemma":[0.99896055,0.00025725167,0.00045366766,0.00019357684,0.000025908183,0.00010903755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003564341,0.00020561552,0.0005350571,0.00010898613,0.00007186741,0.00006440278,0.00018615552,0.00011251757,0.00007858589],"category_scores_gemma":[0.00025000007,0.0002481904,0.000064697706,0.000059605158,0.0002126961,0.0005033192,0.00018480983,0.00015656505,0.000006971418],"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":[0.0012565954,0.00009166729,0.7194062,0.00023197426,0.00035617867,0.0000032827538,0.0065594614,0.006390369,0.00007474874,0.25801224,0.0007506833,0.006866603],"study_design_scores_gemma":[0.000505181,0.00011876269,0.021968395,0.000031493004,0.000007826078,0.0000010044205,0.000112759066,0.9533366,0.000011041798,0.019097509,0.004572395,0.00023704616],"about_ca_topic_score_codex":0.00084037904,"about_ca_topic_score_gemma":0.00018861804,"teacher_disagreement_score":0.9469462,"about_ca_system_score_codex":0.000073656855,"about_ca_system_score_gemma":0.00006346776,"threshold_uncertainty_score":0.999997},"labels":[],"label_agreement":null},{"id":"W3177259224","doi":"10.3934/qfe.2021024","title":"Learning about financial health in Canada","year":2021,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Payroll; Demographics; Perspective (graphical); Cluster (spacecraft); Coping (psychology); Point (geometry); Cluster analysis; Psychology; Financial distress; Demographic economics; Actuarial science; Business; Economics; Demography; Sociology; Accounting; Computer science; Clinical psychology; Artificial intelligence; Mathematics; Financial system","score_opus":0.030609849977300922,"score_gpt":0.3163007043122275,"score_spread":0.2856908543349266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177259224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97858495,0.002483548,0.000020688813,0.014721139,0.0003274835,0.000065401895,0.000017447746,0.00000483087,0.0037745158],"genre_scores_gemma":[0.96010864,0.030992439,0.00071844645,0.007080962,0.000060189566,0.000007228094,0.000007648375,0.000005957801,0.0010185057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99915814,0.00009675713,0.00020527886,0.00016035803,0.000031879223,0.0003475782],"domain_scores_gemma":[0.9996004,0.00017971222,0.00007823239,0.000045096087,0.000026226342,0.000070292954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003302561,0.000057613677,0.00020175321,0.000019447138,0.0003499543,0.000029673127,0.000047409016,0.000029919038,0.0000323343],"category_scores_gemma":[0.0002571557,0.00006995931,0.000016309485,0.000092430026,0.000051756477,0.00013204922,0.000018285991,0.00012939241,0.0000049620276],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009979359,0.000010867199,0.26399392,0.000048730893,0.0000026877176,0.000011250349,0.009694395,0.00055357337,8.965675e-8,0.6907886,0.0019431852,0.03294268],"study_design_scores_gemma":[0.00017357466,0.000020185407,0.51603734,0.000050468956,5.449049e-7,4.1291096e-7,0.01433714,0.00031025903,0.000002201275,0.0017981027,0.467168,0.00010177934],"about_ca_topic_score_codex":0.94419056,"about_ca_topic_score_gemma":0.9982171,"teacher_disagreement_score":0.68899053,"about_ca_system_score_codex":0.00048243324,"about_ca_system_score_gemma":0.007588271,"threshold_uncertainty_score":0.99803776},"labels":[],"label_agreement":null},{"id":"W4312734847","doi":"10.3934/qfe.2022026","title":"Environmental policy uncertainty and green innovation: A TVP-VAR-SV model approach","year":2022,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","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":"Wilfrid Laurier University","funders":"","keywords":"Context (archaeology); Newspaper; Index (typography); Public opinion; Economics; Econometrics; Business; Political science; Computer science; Geography","score_opus":0.04119073905029452,"score_gpt":0.22474982895666232,"score_spread":0.1835590899063678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312734847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830537,0.001460527,0.00271125,0.00078047876,0.00008705792,0.00026241425,0.0011953732,0.000022914694,0.010426295],"genre_scores_gemma":[0.9888362,0.0023278217,0.0053458144,0.0011299211,0.00006842018,0.00018394025,0.00014792522,0.000052672996,0.0019072421],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997899,0.00002647295,0.0007712089,0.0008716472,0.000027930935,0.00040374463],"domain_scores_gemma":[0.9989271,0.000051746312,0.0005900959,0.0003582989,0.0000047985486,0.000067933455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056422525,0.00029015046,0.00052828563,0.00040057523,0.00045833254,0.00006590385,0.00024786912,0.00008532926,0.000108850014],"category_scores_gemma":[0.000023498298,0.0004045164,0.000068607005,0.00021385668,0.00028023022,0.00049479236,0.0004158741,0.00026257252,0.00005824623],"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":[0.00004256285,0.000105367464,0.012688404,0.000016758711,0.000056299497,0.0000010735235,0.0009567488,0.07231819,0.000020317733,0.9119975,0.00013777151,0.0016590294],"study_design_scores_gemma":[0.001773698,0.0003304339,0.02574925,0.000004750307,0.0000119853785,0.00003146375,0.0018651385,0.62684685,0.000022538501,0.296938,0.04548572,0.0009401739],"about_ca_topic_score_codex":0.000362751,"about_ca_topic_score_gemma":0.000017029803,"teacher_disagreement_score":0.6150595,"about_ca_system_score_codex":0.0004652183,"about_ca_system_score_gemma":0.000043352153,"threshold_uncertainty_score":0.9998407},"labels":[],"label_agreement":null},{"id":"W4313209962","doi":"10.3934/qfe.2022029","title":"The insolvency choice during an economic crisis: the case of Canada","year":2022,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Insolvency; Bankruptcy; Debtor; Debt; Financial crisis; Reform Act; Economics; Financial system; Business; Finance; Creditor; Political science; Law; Macroeconomics","score_opus":0.013771890937154148,"score_gpt":0.22397216728380592,"score_spread":0.21020027634665178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313209962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99782896,0.0004569562,0.000001439691,0.0006893364,0.0003005921,0.00014087993,0.000034003933,0.000007663368,0.0005401678],"genre_scores_gemma":[0.9989817,0.00016569752,0.000035332625,0.00045873105,0.00014129315,0.000037742644,0.000012567263,0.000014911061,0.00015200835],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991037,0.000023679911,0.00035111568,0.00025189505,0.000046115507,0.00022347836],"domain_scores_gemma":[0.9991214,0.00012509157,0.00040813588,0.00028795478,0.00004963647,0.000007777073],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00042674577,0.00013019735,0.00019335895,0.00006325621,0.0015947389,0.00011867925,0.00027586112,0.0000150144015,0.000067501765],"category_scores_gemma":[0.000042200376,0.00010191882,0.0000547609,0.0001396838,0.000076128905,0.00067281496,0.000228984,0.000119533215,0.000006091038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024236085,0.00008147497,0.21047293,0.000107362495,0.00008070485,0.000098198405,0.0011682868,0.02212904,0.000034266795,0.75382346,0.010177,0.0015849193],"study_design_scores_gemma":[0.0013927931,0.00014325553,0.3862264,0.000029579945,0.00021404595,0.00006534257,0.027005242,0.14922775,0.00010600195,0.014620207,0.41997,0.0009994046],"about_ca_topic_score_codex":0.30953595,"about_ca_topic_score_gemma":0.6923858,"teacher_disagreement_score":0.7392033,"about_ca_system_score_codex":0.00011219104,"about_ca_system_score_gemma":0.00011497232,"threshold_uncertainty_score":0.9997051},"labels":[],"label_agreement":null},{"id":"W4323519835","doi":"10.3934/qfe.2023003","title":"Cost and performance of carbon risk in socially responsible mutual funds","year":2023,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Universitat Jaume I; Ministerio de Economía y Competitividad","keywords":"Business; Equity (law); Sample (material); Global assets under management; Point (geometry); Expense ratio; Fund of funds; Finance; Institutional investor; Monetary economics; Economics; Closed-end fund; Market liquidity; Corporate governance","score_opus":0.0619864340691239,"score_gpt":0.28406897584974017,"score_spread":0.22208254178061626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323519835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972181,0.00008388736,0.0000027017477,0.00019382767,0.000091787566,0.0001756179,0.000007358223,0.000023446444,0.002203309],"genre_scores_gemma":[0.99844325,0.0009812829,0.00021902125,0.000042756008,0.000057245743,0.000011520905,0.000006786786,0.000012869067,0.00022526363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991537,0.000015993019,0.00035241523,0.0002350378,0.000043060994,0.00019981024],"domain_scores_gemma":[0.9992076,0.0001954977,0.00043139883,0.000096133626,0.00006298154,0.000006365548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011230917,0.00010100228,0.000246527,0.0002254369,0.0001054464,0.000052061114,0.000056919704,0.000056229914,0.00000299694],"category_scores_gemma":[0.0004826912,0.00011537264,0.000026633723,0.0004196108,0.00014440216,0.00048749274,0.000115604824,0.00010304444,0.000014510487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041614086,0.000015014693,0.9406331,0.00010220246,0.000009954544,0.0000044592207,0.0007556728,0.00032512358,0.00012048819,0.040488128,0.00002514722,0.017104572],"study_design_scores_gemma":[0.00041464387,0.00005328388,0.92302865,0.000046074114,0.0000115934945,4.1386903e-7,0.0016398623,0.05925302,0.00006594251,0.0140727,0.0012477256,0.00016610978],"about_ca_topic_score_codex":0.0005535061,"about_ca_topic_score_gemma":0.0024253128,"teacher_disagreement_score":0.058927894,"about_ca_system_score_codex":0.000030596297,"about_ca_system_score_gemma":0.00013378318,"threshold_uncertainty_score":0.47047597},"labels":[],"label_agreement":null},{"id":"W4381568652","doi":"10.3934/qfe.2023014","title":"A Fourier cosine expansion method for pricing FX-TARN under Lévy processes","year":2023,"lang":"en","type":"article","venue":"Quantitative Finance and Economics","topic":"Stochastic processes and financial applications","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":"University of Ottawa","funders":"","keywords":"Mathematics; Fourier transform; Trigonometric functions; Fourier series; Quadrature (astronomy); Fast Fourier transform; Mathematical analysis; Applied mathematics; Algorithm; Geometry; Physics","score_opus":0.0765514011484142,"score_gpt":0.3097036670981396,"score_spread":0.23315226594972543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381568652","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1174642,0.0018017312,0.8772331,0.0014632252,0.00017733152,0.00052282447,0.00044930368,0.000075532495,0.0008127851],"genre_scores_gemma":[0.6097423,0.007098218,0.37697235,0.0016148135,0.00041062338,0.0017987357,0.00030691494,0.0001731345,0.0018829221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984133,0.0000034330233,0.00055523234,0.00061958766,0.000018761164,0.00038967514],"domain_scores_gemma":[0.9988267,0.0004073106,0.00038287143,0.0002262756,0.00010043909,0.00005642437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004764137,0.00020781037,0.0004750304,0.00021706156,0.00033411355,0.000081240156,0.000168839,0.00011181597,0.00001031429],"category_scores_gemma":[0.00028912883,0.00024285524,0.00007818938,0.0005184797,0.000080601916,0.00034245264,0.00006810287,0.00009736017,0.00021268603],"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":[0.000042689313,0.00003524394,0.000350071,0.00013527149,0.000026709358,3.966641e-7,0.00065907056,0.0010989335,0.000026658923,0.9930145,0.00044774165,0.004162683],"study_design_scores_gemma":[0.0007526178,0.00021812726,0.00470886,0.0000588735,0.0000133389085,0.0000035947587,0.00057762617,0.08461764,0.00017346731,0.8543365,0.054097854,0.00044151663],"about_ca_topic_score_codex":0.00009090985,"about_ca_topic_score_gemma":0.00007576119,"teacher_disagreement_score":0.5002607,"about_ca_system_score_codex":0.00005541168,"about_ca_system_score_gemma":0.00007872724,"threshold_uncertainty_score":0.9903349},"labels":[],"label_agreement":null},{"id":"W4415538551","doi":"10.3934/qfe.2025028","title":"Does policy finance promote domestic industrial gradient relocation? Evidence from China","year":2025,"lang":"","type":"article","venue":"Quantitative Finance and Economics","topic":"Economic Growth and Productivity","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":"University of Calgary","funders":"","keywords":"China; Industrial policy; Panel data; Manufacturing; Access to finance; Industrial production","score_opus":0.05006246238141959,"score_gpt":0.2812337211537035,"score_spread":0.2311712587722839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415538551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947345,0.023637867,0.002419966,0.014968075,0.0057604844,0.0012761233,0.0019259845,0.000046663452,0.0026198053],"genre_scores_gemma":[0.90829164,0.08199787,0.0029200022,0.00035969872,0.0008059762,0.00016080718,0.00007137102,0.00006488982,0.005327773],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9936062,0.00013837924,0.0023735901,0.002691426,0.00004671931,0.0011436587],"domain_scores_gemma":[0.99560785,0.0008487997,0.0018694841,0.0013742003,0.000112007154,0.00018766051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016004498,0.0009057323,0.0019017821,0.0008827431,0.00082022516,0.0005557303,0.0008528402,0.00063943735,0.0001122115],"category_scores_gemma":[0.0019887092,0.0009547216,0.00033564167,0.00095324795,0.00086339045,0.0022076762,0.0004565049,0.0009312473,0.0004469339],"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":[0.0006773503,0.00037783867,0.18948919,0.00025557316,0.0004565508,0.000008859591,0.003794072,0.0017531979,0.00001633533,0.77039146,0.0015028969,0.03127666],"study_design_scores_gemma":[0.002945643,0.000738672,0.4199736,0.0014096198,0.00012727019,0.0000053360764,0.00034351845,0.031900994,0.000490919,0.44681367,0.093359575,0.0018911558],"about_ca_topic_score_codex":0.0053271037,"about_ca_topic_score_gemma":0.0007052111,"teacher_disagreement_score":0.3235778,"about_ca_system_score_codex":0.00086609565,"about_ca_system_score_gemma":0.000945172,"threshold_uncertainty_score":0.99929035},"labels":[],"label_agreement":null}]}