{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"9ab754c2ce4e","filters":{"venue":"Economic Bulletin Boxes"}},"results":[{"id":"W3022473904","doi":"","title":"Alternative scenarios for the impact of the COVID-19 pandemic on economic activity in the euro area","year":2020,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Quarter (Canadian coin); Trough (economics); Economics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economic impact analysis; Point (geometry); Macroeconomics; Geography; Medicine; Virology; Microeconomics; Infectious disease (medical specialty)","authors":[{"name":"Niccolò Battistini","is_ca":false},{"name":"Grigor Stoevsky","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1599140348560225,"gpt":0.2925862295584369,"spread":0.1326721947024144,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001428304,0.0003357631,0.0006364156,0.0001001551,0.0002697317,0.0001116016,0.001285215,0.0001199976,0.001802546],"category_scores_gemma":[0.0004341483,0.0002153699,0.0006083333,0.00006288671,0.0002375892,0.0001216835,0.0001310616,0.0003944249,0.0008215771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007432137,"about_ca_system_score_gemma":0.0001265005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031691,"about_ca_topic_score_gemma":0.0004274608,"domain_scores_codex":[0.9979634,0.0001127154,0.000809657,0.0006020656,0.00002555042,0.0004866703],"domain_scores_gemma":[0.9965526,0.001713608,0.000848987,0.0007312612,0.000004224987,0.0001493454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006719884,0.0001117385,0.16354,0.00004126319,0.0004054891,0.000001580169,0.004533572,0.6873371,0.00001472105,0.01386652,0.1288762,0.0005999124],"study_design_scores_gemma":[0.0052215,0.0009564603,0.1289647,0.0000273113,0.00005277407,0.0000417232,0.0005200354,0.3684754,0.0001406107,0.02235138,0.4721628,0.001085279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476354,0.000272855,0.0002818086,0.04509588,0.0004441343,0.001141671,0.002198332,0.0000230932,0.002906866],"genre_scores_gemma":[0.9918914,0.00025042,0.00001760675,0.007056294,0.0004474168,0.0001137884,0.00001131378,0.00003741908,0.0001742833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3432867,"threshold_uncertainty_score":0.9999564,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909708452","doi":"","title":"Recent developments in part-time employment","year":2018,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Labour economics; Work (physics); Working time; Work time; Part-time employment; Engineering; Geography","authors":[{"name":"Katalin Bodnár","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04609594488279261,"gpt":0.3535202104976531,"spread":0.3074242656148605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006598635,0.0001876124,0.0003087813,0.00009362568,0.0005124989,0.00001009223,0.0001835686,0.0001107482,0.02835052],"category_scores_gemma":[0.00005775262,0.0001764724,0.00003586079,0.00004911322,0.0001016414,0.00003753678,0.0002538204,0.000202736,0.04285279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004377797,"about_ca_system_score_gemma":0.0001344456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002949255,"about_ca_topic_score_gemma":0.0007957728,"domain_scores_codex":[0.9981342,0.000178553,0.0006540924,0.0003594942,0.00007559834,0.0005980423],"domain_scores_gemma":[0.9992951,0.0001750359,0.0001651943,0.0002319076,0.00004594084,0.00008686825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006202579,0.00004896857,0.2446935,0.00001369394,0.00004834038,0.000002663352,0.00232792,8.511578e-7,0.00001282601,0.0008663473,0.7415475,0.01037536],"study_design_scores_gemma":[0.0007210652,0.00005526563,0.0787975,0.00009765865,0.000004850475,2.805657e-7,0.0003177373,0.000002743801,0.00005127847,0.0002411608,0.9195248,0.000185617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7613643,0.0003703901,0.000001652034,0.02979684,0.002169301,0.0007120249,0.00001976844,0.0001405742,0.2054252],"genre_scores_gemma":[0.6572936,0.005761325,0.001406694,0.01627035,0.005434907,0.001546144,0.000123252,0.0002107171,0.3119531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1779773,"threshold_uncertainty_score":0.9725377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122829788","doi":"","title":"Developments in the tourism sector during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tourism; Shock (circulatory); Business; Consumption (sociology); Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Pandemic; Geography; Disease; Medicine","authors":[{"name":"Vanessa Gunnella","is_ca":false},{"name":"Georgi Krustev","is_ca":false},{"name":"Tobias Schuler","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05887475941630478,"gpt":0.3292339067356741,"spread":0.2703591473193693,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002165316,0.0001024676,0.0001331457,0.00005750597,0.0008405038,0.0002928267,0.0008440948,0.00007741253,0.008183408],"category_scores_gemma":[0.0006987457,0.00007472713,0.00006461808,0.0001126343,0.000277347,0.00006943719,0.0002125342,0.0002852217,0.001411601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006053108,"about_ca_system_score_gemma":0.0008466409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007398604,"about_ca_topic_score_gemma":0.008689601,"domain_scores_codex":[0.9982135,0.0005779706,0.0002113539,0.0002932574,0.0002490538,0.0004548437],"domain_scores_gemma":[0.9987432,0.0007631535,0.0000682313,0.000283552,0.00002129691,0.0001205589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008094432,0.0001723923,0.3608004,0.00005989043,0.0001544874,0.0017118,0.06188455,0.0004101944,0.0001436653,0.02722666,0.5443819,0.002973139],"study_design_scores_gemma":[0.0003796601,0.000004011625,0.03870307,0.000006146156,0.000003245116,0.00001403335,0.01407389,0.000001649043,0.00003860194,0.0009038552,0.9457486,0.0001232101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8021581,0.0002662091,0.000001516617,0.06791075,0.0003347013,0.000269794,0.000008306415,0.00004592863,0.1290047],"genre_scores_gemma":[0.9822719,0.0004379306,0.000094101,0.002511475,0.0004893017,0.0000446009,0.000002438808,0.00001095526,0.01413728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4013667,"threshold_uncertainty_score":0.9993659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3045994589","doi":"","title":"High-frequency data developments in the euro area labour market","year":2020,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Unemployment; Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Labour economics; Shock (circulatory); Pandemic; Economics; Unemployment rate; Recreation; Demographic economics; Business; Macroeconomics; Geography; Medicine; Political science","authors":[{"name":"Nicola Benatti","is_ca":false},{"name":"Vasco Botelho","is_ca":false},{"name":"Agostino Consolo","is_ca":false},{"name":"António Dias da Silva","is_ca":false},{"name":"Małgorzata Osiewicz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0759643973056358,"gpt":0.2436651231974958,"spread":0.16770072589186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001435621,0.0002498045,0.0004708311,0.0001274547,0.00009827244,0.0001693683,0.001807184,0.0001098175,0.007878091],"category_scores_gemma":[0.0008829398,0.0002548348,0.00005624696,0.0001557052,0.00006569234,0.0002124215,0.0004359815,0.0003093388,0.006682692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002218913,"about_ca_system_score_gemma":0.0001073086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001269247,"about_ca_topic_score_gemma":0.000118493,"domain_scores_codex":[0.9977462,0.00006021688,0.0008714647,0.0008118734,0.00003868356,0.0004715394],"domain_scores_gemma":[0.9982246,0.0003381572,0.0003588013,0.0009419385,0.000008093565,0.0001284399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005786493,0.00007511044,0.264971,0.00007075974,0.00009374881,0.00004824459,0.00173869,0.0001473526,0.00001015331,0.05967854,0.6720326,0.001075901],"study_design_scores_gemma":[0.0008231968,0.00002569272,0.1195852,0.00001326599,0.000004061104,0.000006343907,0.0001033038,0.0004533446,0.00000995918,0.00462379,0.8740057,0.0003461617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7366864,0.002054219,0.0004144781,0.1739329,0.001448411,0.0009358876,0.003651018,0.0001638289,0.08071281],"genre_scores_gemma":[0.9767095,0.0003349897,0.001443572,0.02012884,0.0002885521,0.00002693634,0.0001308923,0.00004204641,0.0008946174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2400232,"threshold_uncertainty_score":0.9999904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3118660454","doi":"","title":"Understanding the impact of the COVID-19 pandemic through an import-adjusted breakdown of euro area aggregate demand","year":2021,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Proxy (statistics); Economics; Pandemic; Quarter (Canadian coin); Econometrics; Monetary economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Aggregate (composite); Value (mathematics); Real gross domestic product; Aggregate demand; Demographic economics; Macroeconomics; International economics; Geography; Monetary policy; Statistics; Infectious disease (medical specialty); Outbreak; Medicine; Mathematics","authors":[{"name":"Malin Andersson","is_ca":false},{"name":"Leyla Beck","is_ca":false},{"name":"Yiqiao Sun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1197826810627009,"gpt":0.2624822376081506,"spread":0.1426995565454497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001285962,0.0003209912,0.0007474981,0.00009438235,0.0002154341,0.0000750951,0.0007050764,0.0001912426,0.003683061],"category_scores_gemma":[0.0002637866,0.0002631718,0.0004908393,0.0001242978,0.0005487004,0.0002061318,0.0002787519,0.000269679,0.0001061041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012628,"about_ca_system_score_gemma":0.0002021135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202687,"about_ca_topic_score_gemma":0.0003836584,"domain_scores_codex":[0.9974188,0.0001727928,0.001282097,0.0006761309,0.00004027172,0.0004099182],"domain_scores_gemma":[0.9965615,0.0005155311,0.001597868,0.001166072,0.00001102327,0.0001479588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008207261,0.0001632312,0.7721744,0.00006939937,0.0006113971,0.000009098665,0.001578299,0.07690957,0.0003950389,0.1366901,0.01125681,0.00006052852],"study_design_scores_gemma":[0.008524605,0.0004516758,0.3822075,0.0001561979,0.000228727,0.0007489308,0.003413531,0.01009115,0.002908023,0.3535073,0.2353674,0.00239491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719479,0.001540049,0.001843735,0.003104059,0.0003791972,0.0002826067,0.0005339697,0.00003596001,0.02033253],"genre_scores_gemma":[0.9968816,0.001431669,0.0001638487,0.0005236198,0.00009193193,0.0000197686,0.00002878342,0.00005943881,0.0007993531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3899669,"threshold_uncertainty_score":0.9999821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907516085","doi":"","title":"Oil prices, the terms of trade and private consumption","year":2018,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Purchasing power; Consumption (sociology); Agricultural economics; Production (economics); Heating oil; Purchasing; Private consumption; Oil consumption; Monetary economics; Microeconomics; Macroeconomics; Operations management","authors":[{"name":"Nikola Bokan","is_ca":false},{"name":"Maarten Dossche","is_ca":false},{"name":"Luca Rossi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0181691692953735,"gpt":0.2095634928382587,"spread":0.1913943235428852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007286129,0.0001177821,0.0002711842,0.00005851473,0.0001125909,0.00005242789,0.000198282,0.00007206917,0.002232901],"category_scores_gemma":[0.00003896527,0.0001068685,0.00006095764,0.00002487529,0.000342432,0.00005085176,0.00007813179,0.00008778136,0.0002377856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003997126,"about_ca_system_score_gemma":0.000005367597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419578,"about_ca_topic_score_gemma":0.00004917616,"domain_scores_codex":[0.9989754,0.00001589862,0.0005138418,0.0003038875,0.00001356324,0.0001774155],"domain_scores_gemma":[0.999153,0.0001012212,0.0003666205,0.0003305763,0.000003996213,0.00004456235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000573257,0.00005045779,0.6630192,0.0001017613,0.00008513845,4.315844e-7,0.0004523937,0.000002610785,0.0000323922,0.3214894,0.004864069,0.009844821],"study_design_scores_gemma":[0.0004565478,0.00006261497,0.3452401,0.00001613887,0.000007289197,0.0000056844,0.00001435147,0.01097834,0.00005731692,0.0163387,0.6266171,0.0002057836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508418,0.0005993133,0.0001372619,0.003088397,0.0003319419,0.00006759477,0.0001307073,0.00001813092,0.04478488],"genre_scores_gemma":[0.9974006,0.000675633,0.0005281675,0.0002060416,0.0001416832,0.00001086185,0.000005665353,0.00001397936,0.001017339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6217531,"threshold_uncertainty_score":0.9986792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907342073","doi":"","title":"Understanding the slowdown in growth in 2018","year":2018,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Slowdown; Quarter (Canadian coin); Surprise; Economic slowdown; Economics; Demographic economics; Monetary economics; International economics; Economic growth; Geography; Psychology","authors":[{"name":"Maarten Dossche","is_ca":false},{"name":"Jaime Martínez-Martín","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08703683648147065,"gpt":0.2938309150420292,"spread":0.2067940785605585,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008372961,0.00006560003,0.00009164836,0.00008926176,0.0002307707,0.00006388502,0.0002382691,0.00004652807,0.00187096],"category_scores_gemma":[0.00006128407,0.00005435826,0.00002525911,0.00008627812,0.0004135555,0.00005485581,0.00003600768,0.00007868571,0.001549609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004521091,"about_ca_system_score_gemma":0.0001409081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008886317,"about_ca_topic_score_gemma":0.02022414,"domain_scores_codex":[0.9992708,0.00009912984,0.0001663935,0.0001404458,0.00006004387,0.0002632139],"domain_scores_gemma":[0.9996461,0.0001967731,0.00004495471,0.00007038956,0.000006033226,0.00003569527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001864847,0.00001324338,0.07128578,0.000002518093,0.000007313705,0.000002822688,0.01977089,0.000004845408,0.000002618889,0.6329848,0.2756612,0.0002452543],"study_design_scores_gemma":[0.0002854651,0.00001378465,0.04246276,0.00002487316,0.000001235605,7.730429e-7,0.00469075,0.00001764748,0.000017643,0.06137083,0.8909637,0.0001505381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3313713,0.00005080015,0.00001820249,0.08429584,0.0006178094,0.0001733147,0.000001558516,0.00002273182,0.5834484],"genre_scores_gemma":[0.9927483,0.0001725499,0.00005370947,0.0008305664,0.0005688799,0.000009515412,8.026275e-7,0.000005876447,0.005609839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.661377,"threshold_uncertainty_score":0.9992278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909060258","doi":"","title":"The recent slowdown in euro area output growth reflects both cyclical and temporary factors","year":2018,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Slowdown; Quarter (Canadian coin); Economics; Economic slowdown; European commission; Economic indicator; Output gap; Index (typography); Real gross domestic product; Monetary economics; Demographic economics; Macroeconomics; International economics; Monetary policy; Economic growth; Geography; European union","authors":[{"name":"Gonzalo Camba-Méndez","is_ca":false},{"name":"Magnus Forsells","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0380326535915924,"gpt":0.2145985957308334,"spread":0.176565942139241,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006117926,0.0002348792,0.0003775457,0.0001378423,0.0002792283,0.0001607998,0.0003325605,0.0000945232,0.0004842601],"category_scores_gemma":[0.0001690123,0.0002059448,0.00007429802,0.00007602198,0.0004072329,0.0001084465,0.0001687675,0.0002442866,0.001584853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000797153,"about_ca_system_score_gemma":0.00001375554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005899598,"about_ca_topic_score_gemma":0.000170481,"domain_scores_codex":[0.9982653,0.00005536689,0.0007049902,0.0005220546,0.00002258382,0.0004297674],"domain_scores_gemma":[0.9990173,0.0002405753,0.0002467116,0.0003579837,0.000009628264,0.0001277916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001503212,0.00010529,0.7120416,0.00002194824,0.00008495252,0.00001417579,0.00128987,0.00001388213,0.00001600607,0.0990748,0.1854078,0.001779398],"study_design_scores_gemma":[0.0003434239,0.0001208087,0.2450192,0.000009804909,0.000002399634,0.000004322882,0.00008486739,0.0001313367,0.00006568831,0.009902474,0.7440538,0.0002618674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.825568,0.001836562,0.00001663051,0.01121212,0.0005681962,0.0001799275,0.00006874039,0.00004856797,0.1605013],"genre_scores_gemma":[0.9919714,0.002531029,0.000079631,0.001194541,0.0003611312,0.000009044695,0.00001194387,0.00003941948,0.003801886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.558646,"threshold_uncertainty_score":0.9991925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910712680","doi":"","title":"The reliability of the preliminary flash estimate of euro area GDP","year":2018,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"European Monetary and Fiscal Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Quality (philosophy); Flash (photography); Quarter (Canadian coin); Economic statistics; Economic indicator; Official statistics; Economics; Econometrics; Macroeconomics; Statistics; Computer science; Geography; Mathematics","authors":[{"name":"Magnus Forsells","is_ca":false},{"name":"Stanimira Kosekova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01724846672810757,"gpt":0.2008566597434023,"spread":0.1836081930152947,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008171077,0.0001468403,0.0003324826,0.0000404544,0.0002190728,0.00002772927,0.0006619689,0.00005709835,0.0006446932],"category_scores_gemma":[0.0002729119,0.0001069659,0.0001880835,0.00005823095,0.0009633266,0.00005256469,0.0002622849,0.0001343499,0.001332473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000329901,"about_ca_system_score_gemma":0.000015506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002569771,"about_ca_topic_score_gemma":0.00003304476,"domain_scores_codex":[0.9985521,0.00005045159,0.000838244,0.0002937844,0.00002372474,0.0002416725],"domain_scores_gemma":[0.9982169,0.0002886481,0.0006114359,0.0008148072,0.00002658715,0.00004168254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005514241,0.0002850455,0.3808715,0.0001815155,0.0002171974,0.000001685284,0.002048468,0.002934113,0.0001600515,0.2338711,0.3762341,0.002643788],"study_design_scores_gemma":[0.0003148055,0.000273686,0.3409525,0.00003020595,0.00001315719,0.000004175869,0.00004617769,0.001824539,0.001791609,0.02224472,0.6322945,0.0002099757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8762152,0.0007308789,0.00005034544,0.005009389,0.0007518561,0.0002040888,0.0002303911,0.00001915863,0.1167888],"genre_scores_gemma":[0.9931819,0.0001582586,0.0002913536,0.0001883123,0.0001608687,0.000006485321,0.000002237293,0.00002200994,0.005988541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2560605,"threshold_uncertainty_score":0.9994451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2909352875","doi":"","title":"Cyclical developments in the euro area current account","year":2018,"lang":"en","type":"article","venue":"Economic Bulletin Boxes","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Current account; Economics; Percentage point; Offset (computer science); Quarter (Canadian coin); Real gross domestic product; Balance of trade; Monetary economics; International economics; Geography; Exchange rate; Finance","authors":[{"name":"Michael Fidora","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03620155958352271,"gpt":0.247678510144598,"spread":0.2114769505610752,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006820928,0.0001838488,0.0003229105,0.0001202907,0.0001499397,0.0001418457,0.0005264928,0.0000767473,0.001479951],"category_scores_gemma":[0.00008388864,0.0001679118,0.00009396446,0.00009489724,0.0001372702,0.00006768246,0.0001083494,0.0001731101,0.01394998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491971,"about_ca_system_score_gemma":0.00002709505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005479546,"about_ca_topic_score_gemma":0.0002103544,"domain_scores_codex":[0.9985006,0.0000234999,0.0006495316,0.0003862749,0.00002911989,0.0004109372],"domain_scores_gemma":[0.9993314,0.00006906517,0.0002046791,0.0003292144,0.00001366127,0.00005200238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002513596,0.0001248962,0.09475748,0.00001182341,0.00001930935,0.00000320389,0.001907323,0.00001094424,0.000001723964,0.4524492,0.4467053,0.003983619],"study_design_scores_gemma":[0.0002273835,0.00003056399,0.127353,0.00001032641,0.000001520092,0.0000038801,0.00006919456,0.0000308243,0.00001653593,0.006871668,0.8651959,0.0001892563],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479168,0.001702734,0.00004586549,0.007218257,0.00170579,0.0002429705,0.0002038021,0.00003182845,0.1409319],"genre_scores_gemma":[0.9964841,0.0003523021,0.0001311563,0.002030766,0.0005715248,0.00003937991,0.00001395973,0.00001699749,0.0003598132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4455776,"threshold_uncertainty_score":0.9994328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}