{"meta":{"query_hash":"e62d20e8ccdf","filters":{"venue":"Applied Economic Analysis"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"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/e62d20e8ccdf","api":"https://metacan.xera.ac/api/v1/cohort?venue=Applied+Economic+Analysis"},"results":[{"id":"W2983988940","doi":"10.1108/aea-06-2019-0007","title":"The persistent effect of socioeconomic status on education and labor market outcomes","year":2019,"lang":"en","type":"article","venue":"Applied Economic Analysis","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Earnings; Test (biology); Originality; Cohort; Demography; Demographic economics; Economics; Psychology; Medicine; Sociology; Social psychology; Population; Accounting","score_opus":0.007539418678410647,"score_gpt":0.2928518156052638,"score_spread":0.2853123969268532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983988940","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":[0.9970489,0.00040955984,0.00017506829,0.00032417796,0.000012750374,0.0000048330526,0.00038066145,0.0000026143148,0.0016414344],"genre_scores_gemma":[0.9994512,0.00009697826,0.0000404382,0.000030342406,0.00000892328,0.0000018157309,0.00013226893,8.9781537e-7,0.00023712062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907863,0.00034566945,0.00005356113,0.00014888043,0.00014370438,0.00022941327],"domain_scores_gemma":[0.9940222,0.0021130391,0.0022368291,0.00048621502,0.0003526676,0.00078908366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014840143,0.00014864291,0.00023382127,0.000932127,0.00062555086,0.00093318307,0.00036244665,0.0002891104,0.0033150038],"category_scores_gemma":[0.0060054855,0.00011924784,0.00036090455,0.0011843015,0.00064495555,0.00063399615,0.001133392,0.00064697606,0.00029177315],"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":[0.000037462458,0.00003495814,0.99678457,0.0000067267965,0.00005704444,0.000051541643,0.000087186185,0.000060327806,0.000053671552,0.0002111086,0.00006912996,0.0025461623],"study_design_scores_gemma":[6.5537824e-7,0.000023023855,0.9993691,0.0000057645607,0.000009899886,0.000021382104,0.00019762195,0.00008969082,0.000026154192,0.00011563643,0.00013980031,0.0000013941273],"about_ca_topic_score_codex":0.01415723,"about_ca_topic_score_gemma":0.017978277,"teacher_disagreement_score":0.01415723,"about_ca_system_score_codex":0.00039090915,"about_ca_system_score_gemma":0.0005548013,"threshold_uncertainty_score":0.028149664},"labels":[],"label_agreement":null},{"id":"W3072187752","doi":"10.1108/aea-02-2020-0013","title":"Economic growth or electricity, what came first in Spain after 1958?","year":2020,"lang":"en","type":"article","venue":"Applied Economic Analysis","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":7,"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":"Electricity; Economics; Cointegration; Production (economics); Electricity generation; Economy; Gross domestic product; Quarter (Canadian coin); Production function; Consumption (sociology); Real gross domestic product; Macroeconomics; Econometrics; Engineering; Power (physics); Geography","score_opus":0.007495824817207508,"score_gpt":0.19260117575036104,"score_spread":0.18510535093315353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3072187752","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":[0.6039837,0.12627101,0.0018651142,0.10805776,0.0042971107,0.00004253699,0.003443028,0.00009902736,0.15194063],"genre_scores_gemma":[0.9467,0.034594465,0.0005134853,0.0033172192,0.0010031636,0.000019783061,0.0010613769,0.000043372846,0.012747144],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99970895,0.00007115548,0.000014766193,0.00007263027,0.00006305956,0.00006941449],"domain_scores_gemma":[0.99904555,0.00032929203,0.00023517152,0.000040919796,0.0002489712,0.00009999737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010170165,0.00017044303,0.00030595242,0.0009932474,0.00037763178,0.0025676677,0.00022558987,0.00053727254,0.0037405894],"category_scores_gemma":[0.0029505263,0.00006830487,0.00023419678,0.0025524234,0.0009358074,0.002226247,0.0004899825,0.0010643946,0.0008420183],"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":[0.00080560916,0.00028425743,0.30457678,0.0033670254,0.00014341123,0.0028399392,0.0089995125,0.0036296034,0.0010988482,0.13119207,0.08693005,0.45613286],"study_design_scores_gemma":[0.000063633655,0.00018023302,0.5379357,0.0028706442,0.00006333874,0.00060990715,0.028866272,0.0008141706,0.0009097449,0.040744107,0.386885,0.000057313315],"about_ca_topic_score_codex":0.010006917,"about_ca_topic_score_gemma":0.008024996,"teacher_disagreement_score":0.010006917,"about_ca_system_score_codex":0.0021494708,"about_ca_system_score_gemma":0.0013181074,"threshold_uncertainty_score":0.019897342},"labels":[],"label_agreement":null},{"id":"W3110610058","doi":"10.1108/aea-03-2020-0024","title":"Growth and business cycle in Argentina. A long-run approach, 1870–2015","year":2020,"lang":"en","type":"article","venue":"Applied Economic Analysis","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades","keywords":"Business cycle; Economics; Volatility (finance); Term (time); Boom; Originality; Economy; Macroeconomics; Econometrics; Political science; Engineering","score_opus":0.018193395292417352,"score_gpt":0.20259007075600927,"score_spread":0.18439667546359192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110610058","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":[0.9157825,0.034518816,0.0017262695,0.0030388066,0.00026456363,0.000036560945,0.009132649,0.000076029915,0.035423875],"genre_scores_gemma":[0.9837615,0.0067943227,0.00039214388,0.00006004678,0.00017631773,0.000019281428,0.0047049704,0.000020846563,0.0040707216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986327,0.000019979265,0.000012576873,0.000036834437,0.00003905626,0.000028135219],"domain_scores_gemma":[0.9995741,0.000058367274,0.00016262855,0.000014163891,0.00013778896,0.00005296555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044394174,0.0002113682,0.00021925927,0.0016032113,0.0003322769,0.0011056267,0.00016037798,0.00030201796,0.0015850592],"category_scores_gemma":[0.0010928764,0.00009907438,0.0002037024,0.001989329,0.00026427943,0.00057783996,0.00039859305,0.0004378675,0.00026385646],"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":[0.0004357174,0.000121203906,0.77633274,0.00086977927,0.0002822629,0.0018227356,0.0025663995,0.018097552,0.0012013386,0.036191847,0.02679738,0.13528107],"study_design_scores_gemma":[0.000009445097,0.00008771001,0.93467164,0.00023018508,0.000056056306,0.0003428927,0.0007141585,0.008695964,0.00023156517,0.0022317101,0.052711695,0.000016872778],"about_ca_topic_score_codex":0.052579,"about_ca_topic_score_gemma":0.045852546,"teacher_disagreement_score":0.052579,"about_ca_system_score_codex":0.001919496,"about_ca_system_score_gemma":0.00075106364,"threshold_uncertainty_score":0.10454589},"labels":[],"label_agreement":null}]}