{"meta":{"query_hash":"57f2ce5ab209","filters":{"venue":"Economic Analysis and Policy"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/57f2ce5ab209","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economic+Analysis+and+Policy"},"results":[{"id":"W2041190321","doi":"10.1016/s0313-5926(10)50028-6","title":"An Empirical Analysis of Real Activity and Stock Returns in an Emerging Market","year":2010,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Autoregressive model; Stock (firearms); Stock market; Economics; Quarter (Canadian coin); Null hypothesis; Mean squared error; Statistics; Mathematics; Engineering; Geography","score_opus":0.050227607960331565,"score_gpt":0.3199730541629331,"score_spread":0.26974544620260155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041190321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970855,0.0005015862,0.00070609833,0.0003147344,0.000008359495,0.000007601396,0.00012938312,0.0000057502807,0.0012410004],"genre_scores_gemma":[0.9981931,0.00054607465,0.00022596409,0.000024312689,0.00003306456,0.000004792349,0.0002590864,0.0000023680764,0.00071119715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981195,0.00007442693,0.000016035248,0.000026642949,0.000031987613,0.000039020786],"domain_scores_gemma":[0.9945873,0.0036162527,0.0009311396,0.00021379969,0.00036392437,0.00028769398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012378161,0.00033495683,0.00034961922,0.0009900323,0.00036035344,0.001233241,0.00047098417,0.00054303836,0.0022442662],"category_scores_gemma":[0.007115774,0.00017630532,0.0005267009,0.0012353519,0.0005480217,0.0013539082,0.00047294414,0.0011118832,0.00028150325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011831317,0.001490234,0.90179044,0.00013953447,0.00049211126,0.0012125,0.0006019557,0.02132451,0.0020569288,0.02827692,0.002437816,0.03899399],"study_design_scores_gemma":[0.00011372599,0.00045674233,0.8862466,0.000051148054,0.00032779382,0.0003278127,0.0015832573,0.09657226,0.0010453779,0.010569942,0.002675634,0.000029624],"about_ca_topic_score_codex":0.01122166,"about_ca_topic_score_gemma":0.010196944,"teacher_disagreement_score":0.01122166,"about_ca_system_score_codex":0.00078991905,"about_ca_system_score_gemma":0.00060082466,"threshold_uncertainty_score":0.022312641},"labels":[],"label_agreement":null},{"id":"W2491724029","doi":"10.1016/j.eap.2016.07.001","title":"No free lunch: Fundamental tradeoffs in macroeconomic policy","year":2016,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stagflation; Economics; Phillips curve; Zero (linguistics); Mathematical economics; Interest rate; Keynesian economics; Econometrics; Invariant (physics); Monetary policy; Macroeconomics; Mathematics","score_opus":0.014489728333850371,"score_gpt":0.23663858931335197,"score_spread":0.2221488609795016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491724029","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10675681,0.020744864,0.1350521,0.3633224,0.0035880816,0.0001231815,0.00084289326,0.0003741875,0.36919546],"genre_scores_gemma":[0.9662878,0.001945683,0.0086466465,0.006855215,0.0018489488,0.00011891231,0.00009234126,0.00015772114,0.0140466625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99223846,0.0041614333,0.00029658293,0.0010763708,0.0013559819,0.00087117095],"domain_scores_gemma":[0.9704325,0.021375021,0.0015180752,0.0029870262,0.0012496924,0.002437598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015784753,0.0007757032,0.0032853477,0.0016318533,0.0041814693,0.013967258,0.0028301494,0.013030391,0.018575594],"category_scores_gemma":[0.07308972,0.0011549703,0.0009208127,0.0017821294,0.012536382,0.024638513,0.005579732,0.012435328,0.0016222895],"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":[0.00009574046,0.000039482136,0.0001625421,0.000039281058,0.000020281046,0.000032478576,0.00014529788,0.0029338354,0.000034939127,0.9804849,0.0059298603,0.0100812465],"study_design_scores_gemma":[0.000008912833,0.0000027231047,0.000043931206,0.000008575844,0.0000019856839,0.0000067069327,0.000028399334,0.0006770588,0.00000773623,0.99795747,0.0012526964,0.000003747788],"about_ca_topic_score_codex":0.0014369073,"about_ca_topic_score_gemma":0.0020795213,"teacher_disagreement_score":0.018575594,"about_ca_system_score_codex":0.0036860488,"about_ca_system_score_gemma":0.0038652672,"threshold_uncertainty_score":0.08347875},"labels":[],"label_agreement":null},{"id":"W2583220237","doi":"10.1016/j.eap.2017.01.007","title":"Investor perception and business method patents: A natural experiment","year":2017,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Statutory law; Business; State (computer science); Perception; Natural experiment; Court decision; Value (mathematics); Accounting; Finance; Law; Political science","score_opus":0.08471425830587795,"score_gpt":0.2910886781281934,"score_spread":0.20637441982231544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583220237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99458814,0.00003550346,0.00083442935,0.00029559355,0.00003699057,0.00026744744,0.00022569794,0.000011221311,0.0037049723],"genre_scores_gemma":[0.99291855,0.000042278425,0.0011305427,0.00030991007,0.00006967921,0.00047092472,0.0002467063,0.000007848966,0.0048035253],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.9958549,0.002367065,0.00020026202,0.0006359005,0.00044772774,0.000494101],"domain_scores_gemma":[0.90873516,0.07622393,0.0077563394,0.004340907,0.0008178748,0.002125843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00754852,0.0005723292,0.00073674374,0.00041109222,0.0012127125,0.0025897338,0.0010684446,0.0028421339,0.019432373],"category_scores_gemma":[0.032155667,0.00054379867,0.00068135647,0.0002859061,0.002382285,0.0021251007,0.0011153176,0.0022795277,0.0014476839],"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":[0.28196558,0.27152216,0.27562603,0.0009173289,0.0012053957,0.0027287446,0.008272293,0.009055886,0.051304054,0.042283133,0.008529855,0.046589535],"study_design_scores_gemma":[0.049030147,0.14983854,0.6364864,0.00012226801,0.0018460555,0.001628882,0.007252643,0.039633706,0.019597746,0.074604005,0.019402001,0.00055761443],"about_ca_topic_score_codex":0.002093948,"about_ca_topic_score_gemma":0.0017328457,"teacher_disagreement_score":0.019432373,"about_ca_system_score_codex":0.0008494658,"about_ca_system_score_gemma":0.0009123555,"threshold_uncertainty_score":0.065007746},"labels":[],"label_agreement":null},{"id":"W2799627234","doi":"10.1016/j.eap.2018.06.002","title":"Will peak car observed in the North occur in the South? A demographic approach with case studies of Montreal, Lille, Juarez and Puebla","year":2018,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Benemérita Universidad Autónoma de Puebla; Consejo Nacional de Ciencia y Tecnología","keywords":"Geography; TRIPS architecture; Population; Demography; Car ownership; Socioeconomics; Demographic economics; Economy; Public transport; Sociology; Economics; Engineering; Transport engineering","score_opus":0.021095937827046978,"score_gpt":0.2410768811159179,"score_spread":0.21998094328887094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799627234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98090184,0.0002887262,0.0009927358,0.0019487124,0.000009755499,0.0000796395,0.00081918214,0.0000069596113,0.014952557],"genre_scores_gemma":[0.9957889,0.00031864963,0.00066508277,0.00011068112,0.0000055037453,0.000049629223,0.00020866266,0.0000040765426,0.0028489123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925536,0.0003991695,0.000007811179,0.00003738305,0.0000534518,0.0002466985],"domain_scores_gemma":[0.9990097,0.0003894596,0.00015352639,0.000028704982,0.0002718344,0.0001466807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011657131,0.00023373701,0.00021095303,0.0013187729,0.003682303,0.0015810069,0.0011012759,0.00083194196,0.0037123323],"category_scores_gemma":[0.002564824,0.00021763507,0.0003999961,0.0022161365,0.0011291809,0.0010014547,0.0007179723,0.0007254038,0.00015605228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003349411,0.00074887363,0.840276,0.00014139677,0.00015808076,0.006437217,0.02892145,0.011937639,0.0014001273,0.0752348,0.010063746,0.02434572],"study_design_scores_gemma":[0.00005514715,0.00024152358,0.7644999,0.00012836437,0.00011656229,0.00094243226,0.1802129,0.014227654,0.0009711033,0.005206564,0.03329842,0.000099395125],"about_ca_topic_score_codex":0.8615154,"about_ca_topic_score_gemma":0.9298613,"teacher_disagreement_score":0.1384846,"about_ca_system_score_codex":0.016286397,"about_ca_system_score_gemma":0.00573472,"threshold_uncertainty_score":0.27860028},"labels":[],"label_agreement":null},{"id":"W2969215855","doi":"10.1016/j.eap.2019.08.005","title":"Performance impacts of structure and volition in implementing policy through IT-enabled government-to-citizen and government-to-employee interactions","year":2019,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Volition (linguistics); Government (linguistics); Business; Investment (military); Public relations; Knowledge management; Marketing; Political science; Politics; Computer science","score_opus":0.016874475445730956,"score_gpt":0.3608743830106214,"score_spread":0.34399990756489046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969215855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93378824,0.000060342347,0.001248587,0.0017561245,0.000029206267,0.00004303722,0.000056809346,0.00004022988,0.062977545],"genre_scores_gemma":[0.99786586,0.00001406668,0.00015772867,0.000051917206,0.000007472004,0.0000130941435,0.000016796994,0.000009117486,0.0018640656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9856274,0.008147978,0.000494529,0.00065979216,0.0014177508,0.0036525326],"domain_scores_gemma":[0.94642997,0.032884922,0.007339778,0.0020745425,0.0033562668,0.007914544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011750142,0.0003683016,0.00043783267,0.0011256214,0.0029312451,0.009347298,0.0011845044,0.002576483,0.016658336],"category_scores_gemma":[0.0527903,0.00028089332,0.000491108,0.0015235114,0.004916038,0.0051964726,0.0051417253,0.002493693,0.0014775891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010242067,0.0116160335,0.37027454,0.0003638363,0.0004302717,0.0008661322,0.02325145,0.105504066,0.0070407256,0.2951907,0.004120054,0.17110026],"study_design_scores_gemma":[0.0006987862,0.0057861404,0.65251,0.0003227179,0.00049224513,0.00017546554,0.076163754,0.09170449,0.010495572,0.14341065,0.01800163,0.00023864974],"about_ca_topic_score_codex":0.015374217,"about_ca_topic_score_gemma":0.020944573,"teacher_disagreement_score":0.016658336,"about_ca_system_score_codex":0.009032051,"about_ca_system_score_gemma":0.009320622,"threshold_uncertainty_score":0.065532446},"labels":[],"label_agreement":null},{"id":"W3194791011","doi":"10.1016/j.eap.2021.08.002","title":"New evidence on COVID-19 and firm performance","year":2021,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Prosperity; Equity (law); China; Outbreak; 2019-20 coronavirus outbreak; Quarter (Canadian coin); Business; Stock (firearms); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Stock market; Pandemic; Demographic economics; Economics; Geography; Economic growth","score_opus":0.07018334127752054,"score_gpt":0.3171903700259872,"score_spread":0.24700702874846667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194791011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5188544,0.057748437,0.0038373456,0.19539618,0.002476497,0.000078895064,0.010519895,0.00013042329,0.21095791],"genre_scores_gemma":[0.9728012,0.011504084,0.00027175943,0.0062496825,0.0013384674,0.000017374588,0.0019055305,0.000021670485,0.005890242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718755,0.0008539736,0.00020481767,0.0002884112,0.00078982435,0.0006754154],"domain_scores_gemma":[0.89860433,0.059980463,0.025627926,0.0033183102,0.007798312,0.0046706507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071199215,0.000415834,0.0005322402,0.002215388,0.0008922589,0.006223262,0.00094690645,0.0026630359,0.015443965],"category_scores_gemma":[0.041101377,0.00025716747,0.00064024376,0.004560428,0.0022494327,0.0035222217,0.0019917598,0.0049651936,0.0010956988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013817999,0.0008847745,0.67057186,0.0009580037,0.0006069182,0.0007064338,0.00085237453,0.00697562,0.0005461102,0.13496162,0.08411111,0.09744334],"study_design_scores_gemma":[0.00013462972,0.00037796499,0.80132,0.0012510221,0.0004172582,0.00017725491,0.0054811058,0.0055725547,0.0009748854,0.06529289,0.118874036,0.00012638044],"about_ca_topic_score_codex":0.03392337,"about_ca_topic_score_gemma":0.03924049,"teacher_disagreement_score":0.03392337,"about_ca_system_score_codex":0.0030710483,"about_ca_system_score_gemma":0.0028786547,"threshold_uncertainty_score":0.067451775},"labels":[],"label_agreement":null},{"id":"W4323543301","doi":"10.1016/j.eap.2023.03.006","title":"Do more stringent policies reduce daily COVID-19 case counts? Evidence from Canadian provinces","year":2023,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Endogeneity; Econometrics; Simultaneity; Regression; Coronavirus disease 2019 (COVID-19); Economics; Statistics; Mathematics; Medicine","score_opus":0.2443215129760948,"score_gpt":0.45650643889872805,"score_spread":0.21218492592263324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323543301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7749221,0.047268957,0.0012677433,0.094408646,0.0008024703,0.00024048823,0.025631212,0.00010548862,0.055352964],"genre_scores_gemma":[0.9840996,0.006575602,0.00037246183,0.0031647556,0.000089281864,0.00004838055,0.0025332235,0.000016981503,0.003099737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98589534,0.003509238,0.00070677575,0.00079279405,0.0033486856,0.0057470356],"domain_scores_gemma":[0.960559,0.011136867,0.008217223,0.0020677324,0.012083375,0.005935749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009592948,0.0004915126,0.0011992839,0.0024649068,0.0033525578,0.0034088304,0.003063804,0.0017152515,0.0072626127],"category_scores_gemma":[0.055968005,0.0006286866,0.0016388366,0.006346233,0.002955374,0.0011825406,0.0019089936,0.0022758283,0.0003115251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032936358,0.0005567931,0.80285,0.0015808193,0.001788877,0.00038061608,0.0031085876,0.0064033563,0.00022691046,0.02893207,0.07896298,0.07191533],"study_design_scores_gemma":[0.0003209687,0.00012796678,0.9747093,0.0006830511,0.0005157573,0.000051310974,0.003295011,0.0011646454,0.00016130763,0.0020500047,0.016855875,0.00006485994],"about_ca_topic_score_codex":0.99603844,"about_ca_topic_score_gemma":0.99578214,"teacher_disagreement_score":0.07176478,"about_ca_system_score_codex":0.07176478,"about_ca_system_score_gemma":0.13404772,"threshold_uncertainty_score":0.52069235},"labels":[],"label_agreement":null},{"id":"W4328053073","doi":"10.1016/j.eap.2023.03.018","title":"Do economic growth target constraints affect firm innovation?","year":2023,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Humanities and Social Science Fund of Ministry of Education of China; Ministry of Education of the People's Republic of China","keywords":"China; Investment (military); Promotion (chess); Business; Crowding out; Industrial organization; Affect (linguistics); Growth theory; Production (economics); Innovation economics; Economic geography; Economic system; Economics; Market economy; Monetary economics; Microeconomics","score_opus":0.01930514583210595,"score_gpt":0.2456673665995149,"score_spread":0.22636222076740897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328053073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8951383,0.0029965993,0.0024064141,0.024422802,0.000109536224,0.0000349688,0.0008999062,0.00005816559,0.073933326],"genre_scores_gemma":[0.9963391,0.0005668347,0.00008144453,0.00041326098,0.00004894851,0.000009203364,0.000085710824,0.000010327037,0.002445355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984492,0.00038095584,0.00007247243,0.00019110594,0.00022675419,0.00067942264],"domain_scores_gemma":[0.96684664,0.020189937,0.007969599,0.00073673605,0.002074781,0.0021824313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033199072,0.00027241628,0.00084197096,0.0011622693,0.0006740334,0.0054998663,0.00066825,0.003195103,0.015702315],"category_scores_gemma":[0.024873514,0.00030607526,0.00046171277,0.0017447119,0.0013018808,0.0047910316,0.0015400809,0.0021551105,0.0013628224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021552984,0.0015602391,0.6129168,0.00058939157,0.0006863651,0.0010829875,0.0020024069,0.035589032,0.003094379,0.24086156,0.014376894,0.08508457],"study_design_scores_gemma":[0.00019859448,0.00044614475,0.7700591,0.0002891845,0.00035291762,0.0002475294,0.005876541,0.017853286,0.0037203222,0.17401496,0.026848963,0.00009244515],"about_ca_topic_score_codex":0.012280179,"about_ca_topic_score_gemma":0.01563366,"teacher_disagreement_score":0.015702315,"about_ca_system_score_codex":0.002082599,"about_ca_system_score_gemma":0.0021736429,"threshold_uncertainty_score":0.052529454},"labels":[],"label_agreement":null},{"id":"W4380151071","doi":"10.1016/j.eap.2023.06.008","title":"Socially conscious investment funds and home country institutions","year":2023,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Economic freedom; Property rights; Business; Currency; Private property; Investment (military); Robustness (evolution); Economics; Law; Political science; Monetary economics; Market economy","score_opus":0.03362130536842944,"score_gpt":0.2600288633357323,"score_spread":0.22640755796730283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380151071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75735277,0.0029479293,0.016412167,0.017635068,0.00012979921,0.000028473813,0.00023739981,0.00007594559,0.20518048],"genre_scores_gemma":[0.9957254,0.00035871292,0.0004934392,0.00019837194,0.00003229756,0.0000054902052,0.000017043787,0.000004702035,0.0031644865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99949217,0.00022285894,0.000018658147,0.00005494525,0.0000610556,0.00015024026],"domain_scores_gemma":[0.99778444,0.0008440036,0.0007256176,0.00020927873,0.00020209227,0.00023465637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013096425,0.00015597165,0.00036609816,0.00062937726,0.0007116365,0.003974735,0.00025912293,0.0012865418,0.003394597],"category_scores_gemma":[0.005023456,0.000119748074,0.0001843933,0.0006602187,0.0032983804,0.0028608635,0.0012142874,0.0012610363,0.000116392075],"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":[0.000038955153,0.00002663883,0.003689783,0.000019408995,0.000023057615,0.000059497994,0.00032993956,0.0015106534,0.00009135732,0.98471016,0.0012215871,0.008278866],"study_design_scores_gemma":[0.000027336062,0.000034517718,0.007916518,0.000056105528,0.000024725321,0.00008895654,0.0011501062,0.0023946646,0.0003803942,0.97676474,0.011148653,0.000013352921],"about_ca_topic_score_codex":0.0024193493,"about_ca_topic_score_gemma":0.0040569436,"teacher_disagreement_score":0.003974735,"about_ca_system_score_codex":0.001861388,"about_ca_system_score_gemma":0.0011910705,"threshold_uncertainty_score":0.013505399},"labels":[],"label_agreement":null},{"id":"W4387675733","doi":"10.1016/j.eap.2023.10.005","title":"Compensation schemes for plant quarantine pest costs: A case study for Germany","year":2023,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Verbraucherschutz, Ernährung und Landwirtschaft; Ministry of Agriculture and Food","keywords":"Quarantine; Context (archaeology); Compensation (psychology); Willingness to pay; Agriculture; Business; Externality; Natural resource economics; Production (economics); Economics; Agricultural economics; Agricultural science; Geography; Microeconomics; Environmental science; Ecology; Biology","score_opus":0.096041064550838,"score_gpt":0.29234814657184705,"score_spread":0.19630708202100905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387675733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98263365,0.00072864484,0.0026801166,0.0009959796,0.000016410744,0.00007310248,0.00031841637,0.000043984783,0.012509694],"genre_scores_gemma":[0.9971938,0.00012990437,0.0005307708,0.00003125668,0.0000048057673,0.000009905772,0.00005643205,0.0000035019527,0.002039519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9988232,0.00037590216,0.00003946797,0.00009736701,0.00020503314,0.0004591003],"domain_scores_gemma":[0.99787796,0.0012455969,0.00038283804,0.00013538213,0.00017794252,0.00018028473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016579743,0.00038617512,0.00037478437,0.0013684598,0.0011557973,0.0020393557,0.00072189426,0.002215191,0.0038080052],"category_scores_gemma":[0.0031805388,0.00021388226,0.0006081965,0.0017267459,0.00088846846,0.0010747751,0.0007642199,0.000849308,0.00020826778],"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":[0.002536297,0.0027323337,0.27042928,0.0006807803,0.000721749,0.010255071,0.0043537645,0.19182703,0.009407595,0.29951268,0.019304996,0.18823852],"study_design_scores_gemma":[0.0008129341,0.0024863281,0.5474377,0.00045895047,0.0012892359,0.0038391154,0.018633777,0.30287918,0.00980238,0.041549645,0.07041959,0.0003911571],"about_ca_topic_score_codex":0.04705554,"about_ca_topic_score_gemma":0.05837735,"teacher_disagreement_score":0.04705554,"about_ca_system_score_codex":0.006407921,"about_ca_system_score_gemma":0.0024060442,"threshold_uncertainty_score":0.09356332},"labels":[],"label_agreement":null},{"id":"W4401155753","doi":"10.1016/j.eap.2024.07.022","title":"Can the digital economy development limit the size of the informal economy? A nonlinear analysis based on China's provincial panel data","year":2024,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"China; Digital economy; Panel data; Limit (mathematics); Economics; Economy; Nonlinear system; Economic system; Development economics; Political science; Computer science; Econometrics; Mathematics; World Wide Web","score_opus":0.02995422631597718,"score_gpt":0.23787057661440286,"score_spread":0.20791635029842567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401155753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984536,0.00039274467,0.0038824824,0.002203599,0.000017490685,0.00003819155,0.0026550833,0.00004564252,0.0062288614],"genre_scores_gemma":[0.9974942,0.00012703823,0.00019812939,0.00005043237,0.0000072475755,0.000009871349,0.0006767168,0.000006387478,0.001429992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910235,0.00020261989,0.00005907179,0.0001762919,0.00014424631,0.0003154384],"domain_scores_gemma":[0.99352056,0.0030448132,0.0013781686,0.00056579214,0.0009537331,0.00053699367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020332518,0.00025884117,0.0007147994,0.0010102979,0.0009820487,0.0019779727,0.0009102438,0.0006269514,0.008392524],"category_scores_gemma":[0.008854675,0.0002714394,0.0009860679,0.001803739,0.0008932639,0.0021756357,0.0012132394,0.0010867723,0.00048772135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002112197,0.000106003325,0.9037121,0.00010837357,0.0002938287,0.0004336874,0.0008719783,0.023193097,0.0006878899,0.04547959,0.004477085,0.020425195],"study_design_scores_gemma":[0.000067308,0.00007894102,0.767842,0.00006366494,0.00044526308,0.00007548555,0.0020187865,0.20538704,0.0008194059,0.014618738,0.00852509,0.000058262278],"about_ca_topic_score_codex":0.30877185,"about_ca_topic_score_gemma":0.30570507,"teacher_disagreement_score":0.30877185,"about_ca_system_score_codex":0.0030854472,"about_ca_system_score_gemma":0.003718492,"threshold_uncertainty_score":0.6139492},"labels":[],"label_agreement":null},{"id":"W4402519388","doi":"10.1016/j.eap.2024.08.031","title":"Navigating post-Covid-19 economic recovery in WAEMU: A DSGE approach","year":2024,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Monetary Policy and Economic Impact","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":"Université Laval","funders":"Fundação de Apoio à Pesquisa do Estado da Paraíba; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Coronavirus disease 2019 (COVID-19); Dynamic stochastic general equilibrium; Economics; Economic recovery; Monetary economics; Keynesian economics; Medicine; Monetary policy; Internal medicine","score_opus":0.04564075850653761,"score_gpt":0.28967431817992045,"score_spread":0.24403355967338286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402519388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8174571,0.0015443813,0.13030043,0.0071373815,0.00034591308,0.00027183676,0.0019323259,0.00025273004,0.040757935],"genre_scores_gemma":[0.98282135,0.00046621045,0.012334172,0.00034572976,0.000032422828,0.00014497615,0.0004042318,0.000052014868,0.0033990017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999539,0.00027465713,0.00001673551,0.0000614784,0.000029922774,0.00007833948],"domain_scores_gemma":[0.9983165,0.0011300836,0.00018102222,0.0000701893,0.0001444557,0.00015767943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001479842,0.00081042247,0.0014890685,0.0008824588,0.00075877993,0.0028375685,0.0012915098,0.0031443946,0.004242824],"category_scores_gemma":[0.0065360474,0.0005938963,0.00092174887,0.0006516038,0.0011405374,0.0023744567,0.0027837472,0.0022571974,0.00024059675],"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":[0.00008025967,0.000046589903,0.002258632,0.000040418297,0.00006145201,0.00020213467,0.00005712301,0.97694707,0.00017029874,0.017861439,0.000668858,0.0016056919],"study_design_scores_gemma":[0.000057851754,0.00007843542,0.0009872009,0.000030589497,0.000029775212,0.000043583543,0.00043912223,0.9815984,0.000101167236,0.014831858,0.0017751096,0.000026971074],"about_ca_topic_score_codex":0.023931812,"about_ca_topic_score_gemma":0.0148163065,"teacher_disagreement_score":0.023931812,"about_ca_system_score_codex":0.0015038492,"about_ca_system_score_gemma":0.0019664892,"threshold_uncertainty_score":0.04758501},"labels":[],"label_agreement":null},{"id":"W4405187811","doi":"10.1016/j.eap.2024.12.002","title":"Oil shocks greasing the wheels of Islamic stocks: An explorative forecasting analysis","year":2024,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SAIT Polytechnic","funders":"Đại học Kinh tế Thành phố Hồ Chí Minh","keywords":"Oil analysis; Islam; Economics; Econometrics; Petroleum engineering; Engineering; History; Archaeology","score_opus":0.03933358268168535,"score_gpt":0.2704106022719908,"score_spread":0.23107701959030547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405187811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331194,0.00013542693,0.002695538,0.000463049,0.0000099493045,0.000012568623,0.00024701314,0.000020922816,0.0031036304],"genre_scores_gemma":[0.9987124,0.00012417811,0.000601402,0.000013970464,0.0000071253644,0.000002592919,0.00010928915,0.0000039418546,0.0004251059],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998903,0.00003592701,0.000009011188,0.000016634887,0.000024633962,0.000023313582],"domain_scores_gemma":[0.9985777,0.0008913977,0.0002265899,0.00011586552,0.00013163233,0.000056866418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064890675,0.00019937256,0.00027765453,0.001002235,0.00034711193,0.0014395268,0.0002906656,0.000565467,0.0015654169],"category_scores_gemma":[0.0035997273,0.00018896729,0.00043113288,0.0011496225,0.00035238737,0.0018898777,0.00043594066,0.0006058418,0.00015533256],"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":[0.0008550319,0.00030110858,0.42319506,0.000112677124,0.00038216898,0.0010609843,0.0023961058,0.405923,0.0037256079,0.08891356,0.004411221,0.06872349],"study_design_scores_gemma":[0.00003127843,0.00012947731,0.16802701,0.000102831655,0.000141617,0.00008984177,0.003427163,0.76808685,0.0012319844,0.054792695,0.0038682278,0.00007105463],"about_ca_topic_score_codex":0.01862518,"about_ca_topic_score_gemma":0.014149846,"teacher_disagreement_score":0.01862518,"about_ca_system_score_codex":0.0005321268,"about_ca_system_score_gemma":0.00046129923,"threshold_uncertainty_score":0.0370335},"labels":[],"label_agreement":null},{"id":"W4406160910","doi":"10.1016/j.eap.2025.01.012","title":"Evaluation and influencing factors of sustainable economic development: A spatial analysis in the Yellow River Basin","year":2025,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"National Natural Science Foundation of China","keywords":"Sustainable development; Structural basin; Geography; Drainage basin; Environmental planning; Water resource management; Environmental resource management; Environmental science; Geology; Cartography; Political science; Geomorphology","score_opus":0.01305831964429131,"score_gpt":0.235731976653464,"score_spread":0.2226736570091727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406160910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982147,0.00009112072,0.00033835278,0.00015129404,0.0000013125649,0.0000073782617,0.000073765135,0.0000032853436,0.0011187914],"genre_scores_gemma":[0.9995265,0.00006145905,0.00014215538,0.0000031266861,8.1876925e-7,0.0000036155088,0.00003549877,0.0000011745196,0.00022570968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989213,0.0004755185,0.00009049545,0.00012229517,0.00022288783,0.00016755587],"domain_scores_gemma":[0.9960672,0.0019002678,0.0006534819,0.00016628347,0.0009741375,0.00023870467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020823565,0.00017423854,0.00038133425,0.0015473908,0.0008004397,0.0020597265,0.00039241664,0.0003773806,0.0011584746],"category_scores_gemma":[0.008435358,0.00023743282,0.00059983076,0.0033377572,0.0011928764,0.0015776032,0.0015902665,0.0003356316,0.000050795526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058373662,0.000069311645,0.96270466,0.000029736571,0.00014745771,0.00020337058,0.0006893225,0.02024109,0.0002252864,0.007411191,0.00023838368,0.007981843],"study_design_scores_gemma":[0.000008188251,0.000037146274,0.9382629,0.000043720072,0.00011178001,0.000053011336,0.006153066,0.047975857,0.00027554255,0.0057030427,0.0013585521,0.000017201974],"about_ca_topic_score_codex":0.15430886,"about_ca_topic_score_gemma":0.22273083,"teacher_disagreement_score":0.15430886,"about_ca_system_score_codex":0.003892474,"about_ca_system_score_gemma":0.0044733062,"threshold_uncertainty_score":0.30682135},"labels":[],"label_agreement":null},{"id":"W4406281342","doi":"10.1016/j.eap.2025.01.001","title":"Austerity reexamined: Uncovering the role of the shadow economy","year":2025,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Taxation and Compliance Studies","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":"Université de Sherbrooke","funders":"","keywords":"Austerity; Shadow (psychology); Economics; Keynesian economics; Economy; Political science; Psychology","score_opus":0.012842877726503037,"score_gpt":0.23154880329103938,"score_spread":0.21870592556453636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406281342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738622,0.0023024157,0.0027854582,0.004452623,0.000060874594,0.000026746466,0.0036223067,0.000064972,0.012822521],"genre_scores_gemma":[0.9948965,0.0008582887,0.0006739266,0.00022016416,0.000055108274,0.0000143084335,0.0022610803,0.00002499098,0.0009956257],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.00011298157,0.000029331432,0.000087655375,0.00006691479,0.00009529221],"domain_scores_gemma":[0.99663615,0.000915807,0.00149149,0.00037542498,0.000296975,0.0002840235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011565016,0.00016989249,0.0004245664,0.0018812768,0.00063941354,0.0026555287,0.00039592903,0.00045054316,0.0032991185],"category_scores_gemma":[0.008138931,0.00011940588,0.0002740912,0.0023409876,0.0010163723,0.002352991,0.0017840296,0.0010879594,0.00047071624],"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":[0.00036630043,0.00011016841,0.83893293,0.0003533452,0.00014734264,0.0012678681,0.0044785556,0.0060091433,0.0014684632,0.05033698,0.023700843,0.07282808],"study_design_scores_gemma":[0.000040576913,0.00011429194,0.8011354,0.0005894362,0.00008639253,0.00038775094,0.016008334,0.023006625,0.0015193028,0.057498984,0.099539064,0.000073696705],"about_ca_topic_score_codex":0.014783192,"about_ca_topic_score_gemma":0.015367918,"teacher_disagreement_score":0.014783192,"about_ca_system_score_codex":0.0008474955,"about_ca_system_score_gemma":0.0012751756,"threshold_uncertainty_score":0.029394329},"labels":[],"label_agreement":null},{"id":"W4406877987","doi":"10.1016/j.eap.2025.01.026","title":"Impacts of international sanctions on sender countries’ innovation","year":2025,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Economic Sanctions and International Relations","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":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Communication source; Sanctions; Business; Political science; Engineering; Telecommunications; Law","score_opus":0.017749394412407898,"score_gpt":0.286537991092889,"score_spread":0.2687885966804811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406877987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794587,0.0020483786,0.0006554867,0.0003826112,0.000074073076,0.000019872678,0.0038414812,0.00004413915,0.01347538],"genre_scores_gemma":[0.9958865,0.00063876284,0.00013727394,0.000054427812,0.00004715724,0.0000133002695,0.0023203096,0.000007979556,0.00089436845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975383,0.0005763287,0.00028049128,0.00030845948,0.00075005175,0.0005463533],"domain_scores_gemma":[0.96035117,0.008571453,0.026331315,0.0009406016,0.0027454677,0.0010601056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002408261,0.00031311874,0.0005279782,0.0031140654,0.0005129796,0.0023185285,0.00024388818,0.0005155619,0.0024939862],"category_scores_gemma":[0.016170895,0.00013089817,0.00047703055,0.0040311087,0.0005839404,0.0009834662,0.0014304597,0.0014102228,0.00047777596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023735156,0.00013515196,0.9511778,0.00027023652,0.00026595732,0.00040243124,0.0008312939,0.005460672,0.0004422448,0.003422359,0.0046259225,0.032728676],"study_design_scores_gemma":[0.000020990821,0.00015016958,0.9836331,0.00012894589,0.00016699957,0.00024653506,0.0011677622,0.0018613455,0.0009848115,0.000791665,0.010807974,0.000039772236],"about_ca_topic_score_codex":0.0061535924,"about_ca_topic_score_gemma":0.0046988004,"teacher_disagreement_score":0.0061535924,"about_ca_system_score_codex":0.00084619917,"about_ca_system_score_gemma":0.0006312486,"threshold_uncertainty_score":0.012736261},"labels":[],"label_agreement":null},{"id":"W4415592077","doi":"10.1016/j.eap.2025.10.035","title":"Does digital finance foster corporate innovation? Evidence from China","year":2025,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"FinTech, Crowdfunding, Digital Finance","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":"University of Northern British Columbia","funders":"National Social Science Fund of China","keywords":"China; Corporate finance; Corporate governance; Digital economy; Asian studies","score_opus":0.017133984861277915,"score_gpt":0.24594453571701547,"score_spread":0.22881055085573754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415592077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98992854,0.0017992192,0.00013982719,0.0012918534,0.000015295032,0.000015977806,0.0005496736,0.0000068568534,0.006252677],"genre_scores_gemma":[0.9984889,0.0007422895,0.000027733271,0.00010018911,0.000015721344,0.0000034738155,0.00019136285,8.7989935e-7,0.0004294645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993032,0.00011912304,0.00005849353,0.00011365456,0.00020094702,0.00020455148],"domain_scores_gemma":[0.9940376,0.0018122805,0.0025411102,0.00029427788,0.0006545686,0.0006601197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014190072,0.0002017736,0.00032709903,0.0025172674,0.00069602364,0.0011712996,0.0003806177,0.0004440998,0.003667791],"category_scores_gemma":[0.003910371,0.000103527425,0.00057164003,0.0024584597,0.000934147,0.00085896644,0.0010517952,0.00041228923,0.00014948777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112949165,0.00009971989,0.96839327,0.0001466555,0.00015000824,0.00053727144,0.0007988893,0.00060244295,0.00017629971,0.0030893856,0.0011030561,0.024790052],"study_design_scores_gemma":[0.000020432532,0.000053135966,0.9942807,0.000054285454,0.000089485286,0.0000638442,0.000719655,0.0008347066,0.00021979112,0.00048591962,0.0031677932,0.000010165974],"about_ca_topic_score_codex":0.052144613,"about_ca_topic_score_gemma":0.049713634,"teacher_disagreement_score":0.052144613,"about_ca_system_score_codex":0.0014642132,"about_ca_system_score_gemma":0.002114361,"threshold_uncertainty_score":0.10368222},"labels":[],"label_agreement":null},{"id":"W4416757683","doi":"10.1016/j.eap.2025.11.022","title":"Jump further or climb higher? Impact of different export upgrading strategies on exporter survival","year":2025,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Humanities and Social Science Fund of Ministry of Education of China; Major Program of National Fund of Philosophy and Social Science of China; National Natural Science Foundation of China","keywords":"Product (mathematics); Climb; Government (linguistics); Sample (material); Jump; Climbing","score_opus":0.05304331378639465,"score_gpt":0.296469552188566,"score_spread":0.24342623840217137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416757683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921137,0.0003862465,0.000095440555,0.002128701,0.00002559712,0.0000106704265,0.00026200054,0.000015886975,0.0049618385],"genre_scores_gemma":[0.9983481,0.000106251995,0.000032025815,0.00015808568,0.00001904076,0.0000032567382,0.000070501126,0.0000045875454,0.0012581922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999064,0.00023051194,0.00003818976,0.00011545008,0.000058504967,0.000493327],"domain_scores_gemma":[0.99312276,0.0032586893,0.0014158211,0.00024078658,0.00034901698,0.0016129174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030821546,0.00023583857,0.0005673319,0.00054495194,0.00048367452,0.0025778436,0.0006156411,0.0015343006,0.018937038],"category_scores_gemma":[0.011137106,0.00014757072,0.00070001767,0.00045344475,0.0008666901,0.0017236607,0.0012489745,0.0012146177,0.0011526622],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010768955,0.0028823763,0.78671587,0.00036838898,0.0008819041,0.0014610585,0.0019369323,0.017806329,0.0051465495,0.02967355,0.008148816,0.13420925],"study_design_scores_gemma":[0.00029303235,0.0016506179,0.972583,0.00011987596,0.00054827164,0.00014542055,0.00690943,0.0048014834,0.0016006716,0.006724839,0.004576603,0.000046769954],"about_ca_topic_score_codex":0.008853036,"about_ca_topic_score_gemma":0.011072448,"teacher_disagreement_score":0.018937038,"about_ca_system_score_codex":0.00097530393,"about_ca_system_score_gemma":0.0010819023,"threshold_uncertainty_score":0.06335074},"labels":[],"label_agreement":null},{"id":"W4416939432","doi":"10.1016/j.eap.2025.12.001","title":"Digital Economy and Green Development in RCEP Countries: Evidence from Panel Data and Mediation Analysis","year":2025,"lang":"en","type":"article","venue":"Economic Analysis and Policy","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Mediation; Panel data; Sustainable development; Digital transformation; Digital economy; Quality (philosophy); Green economy; Consumption (sociology); Index (typography)","score_opus":0.029390331422657904,"score_gpt":0.24065952171830862,"score_spread":0.21126919029565072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416939432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98620194,0.0013668878,0.00073631253,0.001108846,0.000047082962,0.00002534032,0.0047347867,0.000034743727,0.005744137],"genre_scores_gemma":[0.9963967,0.00053894334,0.00013571374,0.000066724715,0.000018027611,0.00002364064,0.002086367,0.0000061460687,0.0007276443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970873,0.0016532294,0.00014361998,0.00029379557,0.00023519185,0.0005868864],"domain_scores_gemma":[0.9654316,0.019657336,0.0077167517,0.0039047375,0.0021561913,0.0011333298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004250872,0.00052766496,0.00081892445,0.0017784416,0.0006943584,0.0026860177,0.00071068696,0.0009321332,0.0070287017],"category_scores_gemma":[0.015261227,0.0002916074,0.0012453236,0.0065681404,0.0010515337,0.0016688751,0.0023267705,0.0013491071,0.0006734421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072560285,0.00043690333,0.95856947,0.00019814019,0.002451236,0.00044456043,0.001005646,0.0069520427,0.000104550054,0.009377886,0.005717368,0.014016498],"study_design_scores_gemma":[0.0002000067,0.0003183932,0.96649265,0.00029793012,0.0028390638,0.00013741908,0.0056971773,0.007971796,0.0008207402,0.005754735,0.009380445,0.00008967343],"about_ca_topic_score_codex":0.06365709,"about_ca_topic_score_gemma":0.03796515,"teacher_disagreement_score":0.06365709,"about_ca_system_score_codex":0.00065887574,"about_ca_system_score_gemma":0.0013082324,"threshold_uncertainty_score":0.12657315},"labels":[],"label_agreement":null}]}