{"meta":{"query_hash":"9ab754c2ce4e","filters":{"venue":"Economic Bulletin Boxes"},"cohort_total":10,"direct_labels_cover":0,"predictions_cover":10,"exported":10,"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/9ab754c2ce4e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Economic+Bulletin+Boxes"},"results":[{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08703683648147065,"score_gpt":0.2938309150420292,"score_spread":0.20679407856055854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907342073","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33137134,0.000050800154,0.000018202492,0.08429584,0.00061780936,0.00017331472,0.0000015585159,0.000022731816,0.5834484],"genre_scores_gemma":[0.99274826,0.00017254989,0.000053709475,0.0008305664,0.00056887994,0.000009515412,8.0262754e-7,0.000005876447,0.005609839],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992708,0.000099129844,0.00016639348,0.00014044585,0.000060043873,0.0002632139],"domain_scores_gemma":[0.9996461,0.00019677314,0.00004495471,0.000070389564,0.0000060332263,0.00003569527],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00083729613,0.000065600034,0.00009164836,0.00008926176,0.00023077073,0.00006388502,0.00023826907,0.000046528072,0.0018709595],"category_scores_gemma":[0.00006128407,0.000054358257,0.000025259105,0.000086278116,0.0004135555,0.000054855806,0.00003600768,0.000078685705,0.0015496087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018648474,0.000013243384,0.071285784,0.000002518093,0.000007313705,0.000002822688,0.019770887,0.000004845408,0.0000026188893,0.6329848,0.27566123,0.00024525434],"study_design_scores_gemma":[0.0002854651,0.00001378465,0.042462762,0.000024873165,0.0000012356048,7.730429e-7,0.0046907496,0.000017647477,0.000017643002,0.06137083,0.8909637,0.00015053806],"about_ca_topic_score_codex":0.008886317,"about_ca_topic_score_gemma":0.02022414,"teacher_disagreement_score":0.66137695,"about_ca_system_score_codex":0.00045210912,"about_ca_system_score_gemma":0.00014090806,"threshold_uncertainty_score":0.9992278},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0181691692953735,"score_gpt":0.20956349283825867,"score_spread":0.1913943235428852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907516085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9508418,0.0005993133,0.00013726189,0.003088397,0.00033194193,0.000067594774,0.00013070727,0.000018130915,0.04478488],"genre_scores_gemma":[0.99740064,0.000675633,0.0005281675,0.00020604164,0.00014168321,0.000010861849,0.0000056653535,0.000013979361,0.0010173391],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989754,0.00001589862,0.0005138418,0.0003038875,0.000013563243,0.00017741552],"domain_scores_gemma":[0.999153,0.000101221165,0.0003666205,0.0003305763,0.0000039962133,0.000044562352],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00072861294,0.0001177821,0.00027118417,0.00005851473,0.00011259089,0.000052427888,0.000198282,0.00007206917,0.0022329006],"category_scores_gemma":[0.000038965267,0.00010686853,0.000060957642,0.000024875295,0.00034243197,0.00005085176,0.000078131794,0.00008778136,0.00023778563],"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":[0.000057325702,0.00005045779,0.6630192,0.00010176125,0.00008513845,4.315844e-7,0.00045239367,0.000002610785,0.000032392196,0.3214894,0.0048640687,0.009844821],"study_design_scores_gemma":[0.00045654777,0.00006261497,0.3452401,0.00001613887,0.000007289197,0.0000056843996,0.000014351466,0.010978343,0.000057316916,0.016338697,0.62661713,0.00020578362],"about_ca_topic_score_codex":0.00014195783,"about_ca_topic_score_gemma":0.00004917616,"teacher_disagreement_score":0.6217531,"about_ca_system_score_codex":0.00003997126,"about_ca_system_score_gemma":0.0000053675967,"threshold_uncertainty_score":0.9986792},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0380326535915924,"score_gpt":0.21459859573083342,"score_spread":0.17656594213924104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909060258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.825568,0.0018365616,0.000016630513,0.011212115,0.0005681962,0.00017992753,0.00006874039,0.00004856797,0.16050126],"genre_scores_gemma":[0.9919714,0.002531029,0.000079631,0.0011945411,0.00036113115,0.000009044695,0.000011943867,0.000039419483,0.0038018865],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99826527,0.000055366887,0.00070499023,0.0005220546,0.000022583816,0.0004297674],"domain_scores_gemma":[0.9990173,0.00024057526,0.00024671157,0.0003579837,0.000009628264,0.00012779163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061179255,0.00023487916,0.00037754574,0.00013784232,0.00027922835,0.00016079978,0.00033256048,0.000094523195,0.00048426012],"category_scores_gemma":[0.00016901227,0.00020594477,0.00007429802,0.00007602198,0.00040723293,0.00010844645,0.00016876748,0.0002442866,0.001584853],"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":[0.00015032115,0.000105290004,0.7120416,0.000021948239,0.00008495252,0.000014175791,0.0012898705,0.000013882125,0.00001600607,0.099074796,0.18540776,0.001779398],"study_design_scores_gemma":[0.00034342386,0.00012080875,0.24501923,0.000009804909,0.000002399634,0.0000043228824,0.00008486739,0.0001313367,0.000065688306,0.0099024745,0.7440538,0.00026186736],"about_ca_topic_score_codex":0.0005899598,"about_ca_topic_score_gemma":0.00017048101,"teacher_disagreement_score":0.558646,"about_ca_system_score_codex":0.000079715304,"about_ca_system_score_gemma":0.000013755539,"threshold_uncertainty_score":0.99919254},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03620155958352271,"score_gpt":0.24767851014459796,"score_spread":0.21147695056107524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909352875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84791684,0.0017027337,0.000045865494,0.0072182566,0.0017057902,0.00024297052,0.0002038021,0.000031828447,0.14093192],"genre_scores_gemma":[0.9964841,0.00035230213,0.00013115634,0.0020307656,0.00057152484,0.00003937991,0.000013959727,0.000016997488,0.0003598132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850065,0.000023499895,0.0006495316,0.00038627486,0.00002911989,0.00041093718],"domain_scores_gemma":[0.99933136,0.00006906517,0.00020467906,0.00032921435,0.000013661274,0.00005200238],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006820928,0.00018384884,0.00032291055,0.0001202907,0.00014993975,0.00014184573,0.00052649283,0.0000767473,0.0014799506],"category_scores_gemma":[0.00008388864,0.00016791181,0.00009396446,0.000094897245,0.00013727022,0.00006768246,0.00010834942,0.0001731101,0.013949975],"study_design_candidate":"not_applicable","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":[0.000025135958,0.00012489616,0.09475748,0.000011823406,0.000019309355,0.0000032038897,0.0019073234,0.000010944236,0.0000017239644,0.45244923,0.4467053,0.003983619],"study_design_scores_gemma":[0.00022738354,0.00003056399,0.12735298,0.000010326414,0.0000015200918,0.0000038801,0.00006919456,0.000030824296,0.00001653593,0.006871668,0.8651959,0.00018925635],"about_ca_topic_score_codex":0.00054795464,"about_ca_topic_score_gemma":0.00021035442,"teacher_disagreement_score":0.44557756,"about_ca_system_score_codex":0.00014919715,"about_ca_system_score_gemma":0.000027095053,"threshold_uncertainty_score":0.9994328},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Labour economics; Work (physics); Working time; Work time; Part-time employment; Engineering; Geography","score_opus":0.04609594488279261,"score_gpt":0.3535202104976531,"score_spread":0.30742426561486047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909708452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7613643,0.00037039007,0.0000016520339,0.029796844,0.002169301,0.0007120249,0.000019768439,0.00014057416,0.20542517],"genre_scores_gemma":[0.65729356,0.005761325,0.0014066938,0.016270349,0.005434907,0.0015461439,0.000123252,0.0002107171,0.31195307],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981342,0.00017855303,0.0006540924,0.00035949424,0.00007559834,0.0005980423],"domain_scores_gemma":[0.99929506,0.00017503591,0.00016519426,0.00023190762,0.00004594084,0.000086868255],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00065986346,0.00018761243,0.00030878134,0.000093625684,0.0005124989,0.000010092234,0.00018356861,0.00011074823,0.028350519],"category_scores_gemma":[0.000057752623,0.00017647239,0.000035860787,0.00004911322,0.00010164144,0.000037536778,0.00025382036,0.00020273596,0.042852793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062025785,0.000048968566,0.2446935,0.000013693941,0.000048340382,0.000002663352,0.0023279204,8.5115784e-7,0.0000128260135,0.00086634734,0.74154747,0.010375363],"study_design_scores_gemma":[0.0007210652,0.000055265627,0.078797504,0.000097658645,0.0000048504753,2.8056567e-7,0.00031773731,0.000002743801,0.000051278468,0.00024116081,0.91952485,0.00018561698],"about_ca_topic_score_codex":0.0002949255,"about_ca_topic_score_gemma":0.00079577276,"teacher_disagreement_score":0.17797734,"about_ca_system_score_codex":0.00043777973,"about_ca_system_score_gemma":0.00013444561,"threshold_uncertainty_score":0.9725377},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.017248466728107575,"score_gpt":0.2008566597434023,"score_spread":0.18360819301529474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910712680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87621516,0.0007308789,0.000050345443,0.0050093895,0.00075185613,0.00020408876,0.00023039112,0.00001915863,0.11678875],"genre_scores_gemma":[0.99318194,0.0001582586,0.0002913536,0.00018831227,0.00016086875,0.0000064853207,0.0000022372933,0.000022009937,0.005988541],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855214,0.00005045159,0.00083824404,0.00029378437,0.00002372474,0.00024167247],"domain_scores_gemma":[0.99821687,0.00028864807,0.00061143585,0.0008148072,0.000026587155,0.000041682542],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081710774,0.00014684034,0.0003324826,0.000040454397,0.00021907277,0.000027729275,0.0006619689,0.00005709835,0.00064469315],"category_scores_gemma":[0.00027291186,0.00010696588,0.00018808352,0.000058230948,0.0009633266,0.000052564686,0.00026228494,0.00013434993,0.0013324727],"study_design_candidate":"not_applicable","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":[0.0005514241,0.0002850455,0.38087153,0.00018151547,0.0002171974,0.0000016852839,0.0020484685,0.002934113,0.00016005147,0.23387112,0.37623405,0.0026437885],"study_design_scores_gemma":[0.00031480554,0.00027368605,0.34095246,0.000030205952,0.000013157187,0.000004175869,0.000046177694,0.0018245388,0.0017916093,0.02224472,0.6322945,0.0002099757],"about_ca_topic_score_codex":0.00025697707,"about_ca_topic_score_gemma":0.000033044762,"teacher_disagreement_score":0.25606045,"about_ca_system_score_codex":0.000032990105,"about_ca_system_score_gemma":0.000015505997,"threshold_uncertainty_score":0.9994451},"labels":[],"label_agreement":null},{"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,"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); 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)","score_opus":0.15991403485602254,"score_gpt":0.29258622955843694,"score_spread":0.1326721947024144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022473904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94763535,0.000272855,0.0002818086,0.045095876,0.00044413432,0.0011416705,0.0021983325,0.000023093198,0.002906866],"genre_scores_gemma":[0.99189144,0.00025042,0.000017606753,0.007056294,0.0004474168,0.00011378836,0.000011313782,0.000037419082,0.00017428328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99796337,0.000112715374,0.000809657,0.0006020656,0.000025550416,0.0004866703],"domain_scores_gemma":[0.9965526,0.001713608,0.00084898697,0.00073126116,0.000004224987,0.00014934539],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014283038,0.00033576306,0.00063641556,0.000100155055,0.00026973165,0.00011160164,0.0012852154,0.00011999762,0.001802546],"category_scores_gemma":[0.0004341483,0.00021536993,0.0006083333,0.000062886706,0.00023758916,0.000121683464,0.00013106156,0.00039442486,0.0008215771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067198835,0.00011173848,0.16353996,0.00004126319,0.0004054891,0.0000015801693,0.004533572,0.6873371,0.0000147210485,0.013866521,0.12887616,0.00059991237],"study_design_scores_gemma":[0.0052215,0.0009564603,0.12896468,0.0000273113,0.000052774074,0.000041723204,0.0005200354,0.3684754,0.00014061067,0.022351384,0.47216284,0.0010852792],"about_ca_topic_score_codex":0.010316915,"about_ca_topic_score_gemma":0.00042746082,"teacher_disagreement_score":0.3432867,"about_ca_system_score_codex":0.00074321375,"about_ca_system_score_gemma":0.00012650048,"threshold_uncertainty_score":0.99995637},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0759643973056358,"score_gpt":0.24366512319749578,"score_spread":0.16770072589185997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045994589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7366864,0.0020542187,0.00041447807,0.17393294,0.0014484111,0.0009358876,0.003651018,0.00016382887,0.08071281],"genre_scores_gemma":[0.97670954,0.00033498975,0.0014435715,0.020128837,0.00028855208,0.000026936343,0.00013089225,0.00004204641,0.0008946174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977462,0.000060216877,0.0008714647,0.00081187335,0.000038683556,0.00047153936],"domain_scores_gemma":[0.99822456,0.0003381572,0.0003588013,0.0009419385,0.000008093565,0.00012843986],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014356214,0.00024980446,0.00047083106,0.00012745471,0.00009827244,0.00016936832,0.0018071842,0.00010981746,0.007878091],"category_scores_gemma":[0.0008829398,0.00025483483,0.000056246965,0.00015570523,0.00006569234,0.00021242151,0.0004359815,0.00030933882,0.0066826916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057864927,0.00007511044,0.26497102,0.00007075974,0.00009374881,0.000048244587,0.0017386904,0.0001473526,0.000010153308,0.059678543,0.6720326,0.0010759005],"study_design_scores_gemma":[0.00082319684,0.000025692716,0.11958518,0.000013265992,0.0000040611044,0.000006343907,0.00010330377,0.0004533446,0.00000995918,0.0046237903,0.8740057,0.0003461617],"about_ca_topic_score_codex":0.0012692474,"about_ca_topic_score_gemma":0.000118492986,"teacher_disagreement_score":0.24002315,"about_ca_system_score_codex":0.00022189131,"about_ca_system_score_gemma":0.00010730857,"threshold_uncertainty_score":0.9999904},"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,"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); 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","score_opus":0.11978268106270089,"score_gpt":0.2624822376081506,"score_spread":0.1426995565454497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118660454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719479,0.0015400487,0.0018437348,0.0031040588,0.00037919715,0.0002826067,0.00053396967,0.000035960013,0.020332532],"genre_scores_gemma":[0.9968816,0.0014316695,0.00016384872,0.00052361976,0.00009193193,0.000019768597,0.000028783425,0.00005943881,0.00079935306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741876,0.00017279285,0.0012820973,0.0006761309,0.000040271716,0.00040991817],"domain_scores_gemma":[0.9965615,0.0005155311,0.0015978678,0.0011660719,0.000011023266,0.00014795875],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012859624,0.00032099124,0.0007474981,0.00009438235,0.00021543408,0.0000750951,0.0007050764,0.00019124261,0.0036830613],"category_scores_gemma":[0.00026378664,0.00026317177,0.0004908393,0.00012429776,0.0005487004,0.0002061318,0.00027875186,0.000269679,0.00010610407],"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":[0.00008207261,0.00016323122,0.7721744,0.00006939937,0.0006113971,0.000009098665,0.0015782986,0.07690957,0.0003950389,0.13669014,0.011256814,0.00006052852],"study_design_scores_gemma":[0.008524605,0.0004516758,0.3822075,0.00015619794,0.00022872696,0.0007489308,0.003413531,0.010091148,0.0029080226,0.35350734,0.23536737,0.0023949095],"about_ca_topic_score_codex":0.0020268701,"about_ca_topic_score_gemma":0.00038365842,"teacher_disagreement_score":0.38996688,"about_ca_system_score_codex":0.0010126281,"about_ca_system_score_gemma":0.00020211353,"threshold_uncertainty_score":0.99998206},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05887475941630478,"score_gpt":0.3292339067356741,"score_spread":0.27035914731936933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122829788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80215806,0.00026620913,0.000001516617,0.06791075,0.0003347013,0.000269794,0.000008306415,0.000045928635,0.12900475],"genre_scores_gemma":[0.9822719,0.0004379306,0.000094101,0.002511475,0.0004893017,0.0000446009,0.0000024388075,0.000010955264,0.01413728],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982135,0.0005779706,0.00021135385,0.00029325744,0.0002490538,0.0004548437],"domain_scores_gemma":[0.99874324,0.00076315354,0.000068231304,0.00028355198,0.000021296906,0.0001205589],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021653164,0.00010246763,0.00013314572,0.000057505968,0.00084050384,0.00029282668,0.00084409484,0.00007741253,0.008183408],"category_scores_gemma":[0.0006987457,0.00007472713,0.00006461808,0.00011263426,0.00027734696,0.00006943719,0.00021253421,0.00028522167,0.0014116012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080944315,0.00017239235,0.3608004,0.00005989043,0.00015448735,0.0017118005,0.06188455,0.00041019442,0.00014366534,0.027226657,0.5443819,0.002973139],"study_design_scores_gemma":[0.0003796601,0.0000040116247,0.038703065,0.0000061461565,0.0000032451155,0.000014033346,0.014073888,0.0000016490426,0.00003860194,0.0009038552,0.9457486,0.00012321012],"about_ca_topic_score_codex":0.007398604,"about_ca_topic_score_gemma":0.008689601,"teacher_disagreement_score":0.40136674,"about_ca_system_score_codex":0.0006053108,"about_ca_system_score_gemma":0.0008466409,"threshold_uncertainty_score":0.9993659},"labels":[],"label_agreement":null}]}