{"meta":{"query_hash":"90f8e6794e45","filters":{"venue":"FEDS Notes"},"cohort_total":11,"direct_labels_cover":0,"predictions_cover":11,"exported":11,"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/90f8e6794e45","api":"https://metacan.xera.ac/api/v1/cohort?venue=FEDS+Notes"},"results":[{"id":"W2541448141","doi":"10.17016/2380-7172.1538","title":"Residual Seasonality in GDP","year":2015,"lang":"en","type":"preprint","venue":"FEDS Notes","topic":"Economic Growth and Productivity","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":"Seasonality; Residual; Quarter (Canadian coin); Econometrics; Economics; Seasonal adjustment; Geography; Statistics; Mathematics","score_opus":0.11336626743455491,"score_gpt":0.26639605569286495,"score_spread":0.15302978825831004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541448141","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":[0.8406504,0.003967336,0.030766737,0.013831023,0.0019397528,0.00007144828,0.047553603,0.0019663742,0.05925343],"genre_scores_gemma":[0.97819716,0.00038856643,0.0015885511,0.00052418764,0.00022023919,0.000022187989,0.012856061,0.00021351893,0.005989435],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982468,0.00021968014,0.00018708754,0.00057465315,0.00047209355,0.00029974213],"domain_scores_gemma":[0.9924636,0.0019218152,0.0017276652,0.0018853863,0.0017379299,0.00026348134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026730201,0.00022810005,0.0004631403,0.0012225128,0.00030151592,0.0017198847,0.00037561046,0.00053322886,0.0035955068],"category_scores_gemma":[0.017542096,0.00017404692,0.00037490836,0.0025053823,0.0005349459,0.0009163154,0.00078218,0.001324307,0.0015278305],"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":[0.00088056264,0.0001256884,0.61908704,0.0006422973,0.00044119742,0.0009544763,0.0018590505,0.014964595,0.008876667,0.06853863,0.13713129,0.14649864],"study_design_scores_gemma":[0.00003021278,0.00012483714,0.8262761,0.0002177377,0.000103944876,0.0005934007,0.00070610084,0.020670231,0.0058645746,0.033715583,0.111619174,0.000078023695],"about_ca_topic_score_codex":0.009602394,"about_ca_topic_score_gemma":0.01105325,"teacher_disagreement_score":0.009602394,"about_ca_system_score_codex":0.00086808763,"about_ca_system_score_gemma":0.00057638175,"threshold_uncertainty_score":0.019093037},"labels":[],"label_agreement":null},{"id":"W2741950078","doi":"10.17016/2380-7172.2031","title":"Another Look at Residual Seasonality in GDP","year":2017,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":6,"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); Pace; Seasonality; Residual; Economics; Seasonal adjustment; Slowdown; Econometrics; Agricultural economics; Geography; Statistics; Mathematics; Economic growth; Geodesy","score_opus":0.06938161368562737,"score_gpt":0.25045028041453354,"score_spread":0.18106866672890617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741950078","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":[0.79582936,0.0052676047,0.018173072,0.04939131,0.0013931844,0.00005988392,0.012233307,0.00055514456,0.11709708],"genre_scores_gemma":[0.9829943,0.0010968588,0.0015138979,0.0025492976,0.00042033958,0.000009068811,0.0034092981,0.00016681124,0.007840129],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993851,0.00008472631,0.00004171153,0.00013656559,0.0001874231,0.00016446333],"domain_scores_gemma":[0.9960764,0.0010023336,0.00090821873,0.0004378399,0.0012872231,0.00028790798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010929493,0.00018196189,0.00030032275,0.0013153037,0.00047466377,0.0014446821,0.0003966249,0.00058110827,0.005492639],"category_scores_gemma":[0.006762448,0.00010693803,0.0005730464,0.0025253824,0.00062418915,0.0013357213,0.0006166867,0.0018131981,0.0005208523],"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":[0.00051603967,0.00022307927,0.6897704,0.0003250192,0.0005991602,0.0012105003,0.0037091873,0.0073053907,0.0042977375,0.09260864,0.09121194,0.10822303],"study_design_scores_gemma":[0.000023235345,0.0002051225,0.85959613,0.00018935573,0.00014984672,0.00043569042,0.0037188134,0.009653722,0.0012843494,0.027025944,0.097642735,0.0000749527],"about_ca_topic_score_codex":0.046927176,"about_ca_topic_score_gemma":0.059620775,"teacher_disagreement_score":0.046927176,"about_ca_system_score_codex":0.0009418085,"about_ca_system_score_gemma":0.00072674756,"threshold_uncertainty_score":0.09330809},"labels":[],"label_agreement":null},{"id":"W2901914930","doi":"10.17016/2380-7172.2275","title":"Money in the Bank? Assessing Families' Liquid Savings using the Survey of Consumer Finances","year":2018,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":38,"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); Business; Actuarial science; Economics; Geography","score_opus":0.05482065203557725,"score_gpt":0.295438995981791,"score_spread":0.2406183439462138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901914930","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":[0.9868536,0.00016218176,0.00021201324,0.00051034533,0.000016401505,0.00004177425,0.0059268577,0.00001261665,0.006264208],"genre_scores_gemma":[0.99024266,0.00032416452,0.00063828856,0.00026299024,0.000030084726,0.00015529039,0.0062270574,0.0000042568417,0.0021150964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935097,0.00020895245,0.000083081075,0.0000667621,0.00018549609,0.00010476832],"domain_scores_gemma":[0.9966685,0.0005343363,0.0015072676,0.00013610555,0.0007800936,0.00037370983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014049816,0.00021275342,0.00016762924,0.0016916463,0.0005344498,0.00078517274,0.00030452994,0.0003763025,0.0036114582],"category_scores_gemma":[0.0058193333,0.00016787974,0.00021940921,0.0019843765,0.00023073299,0.0007522262,0.00057005347,0.00056968007,0.0009560228],"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":[0.000027147973,0.0000788552,0.9869027,0.000011117412,0.000021163925,0.000028636288,0.00054169964,0.000047614558,0.000054382206,0.00014286433,0.0035618648,0.008581893],"study_design_scores_gemma":[0.000006229956,0.00006550383,0.9918282,0.000037122678,0.000020645277,0.000084363724,0.0022822053,0.00019517637,0.00013264356,0.00013080312,0.0052080625,0.000009104038],"about_ca_topic_score_codex":0.040041465,"about_ca_topic_score_gemma":0.059824795,"teacher_disagreement_score":0.040041465,"about_ca_system_score_codex":0.0005610053,"about_ca_system_score_gemma":0.00052931573,"threshold_uncertainty_score":0.079616845},"labels":[],"label_agreement":null},{"id":"W3116963129","doi":"10.17016/2380-7172.2803","title":"Remittances and COVID-19: A Tale of Two Countries","year":2020,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":12,"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); Quarter (Canadian coin); Pandemic; Development economics; 2019-20 coronavirus outbreak; Immigration; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Narrative; Demographic economics; Geography; Economics; Medicine; Virology","score_opus":0.03102552042983411,"score_gpt":0.34073298367894506,"score_spread":0.30970746324911097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116963129","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":[0.79580414,0.007526018,0.0006379307,0.081083596,0.00077892205,0.000026572081,0.00021185406,0.000026850126,0.11390403],"genre_scores_gemma":[0.990013,0.0018846828,0.00015429936,0.0029833326,0.00009022753,0.000016847325,0.000056497738,0.00001510951,0.004785899],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9987733,0.0006870207,0.000024273333,0.00007172102,0.00006429975,0.00037937777],"domain_scores_gemma":[0.99895513,0.000406892,0.0002030376,0.00009101575,0.000108711785,0.00023519016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016966276,0.00028700015,0.00021141193,0.0011040474,0.009057506,0.0057017235,0.00052103476,0.0017980336,0.0032830827],"category_scores_gemma":[0.0034358925,0.00016023291,0.00027500864,0.0012350037,0.008347007,0.004887766,0.006716493,0.0039039128,0.00019374171],"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":[0.00022291098,0.00006680744,0.032721184,0.00013993021,0.00004247852,0.0030626256,0.73652107,0.00034367395,0.0007668048,0.17549476,0.024943264,0.025674583],"study_design_scores_gemma":[0.000014455631,0.00007543205,0.02430928,0.00031133683,0.00001646283,0.00044848776,0.81618863,0.00014951438,0.0003167386,0.0075057265,0.15060037,0.00006353924],"about_ca_topic_score_codex":0.035482407,"about_ca_topic_score_gemma":0.047641028,"teacher_disagreement_score":0.035482407,"about_ca_system_score_codex":0.0032028197,"about_ca_system_score_gemma":0.0013453331,"threshold_uncertainty_score":0.07055175},"labels":[],"label_agreement":null},{"id":"W3128141916","doi":"10.17016/2380-7172.2806","title":"Forecasting During the COVID-19 Pandemic: A Structural Analysis of Downside Risk","year":2021,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","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); Quarter (Canadian coin); Pandemic; Downside risk; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Scale (ratio); China; Econometrics; Business; Financial economics; Geography; Virology; Political science; Medicine; Cartography; Law","score_opus":0.25298854668383014,"score_gpt":0.4276858624345891,"score_spread":0.17469731575075897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128141916","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":[0.9190344,0.0013385527,0.054531634,0.015294809,0.00014467363,0.00008665533,0.00189684,0.00015305607,0.0075193276],"genre_scores_gemma":[0.9939996,0.00053335394,0.003156057,0.00015269847,0.00009869208,0.000036165755,0.0006969856,0.00002110824,0.0013052955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864584,0.0006990302,0.000046088535,0.00021772584,0.00012360072,0.00026778565],"domain_scores_gemma":[0.98869306,0.008418825,0.0014551254,0.0003903389,0.0005783253,0.00046429894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043870513,0.00061701157,0.0010066719,0.0013154924,0.0007290679,0.0017522783,0.001272081,0.0017644445,0.0033938938],"category_scores_gemma":[0.01680278,0.00052731205,0.0012214378,0.0010134127,0.0010394541,0.0019632697,0.001715316,0.0032027906,0.0002805657],"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":[0.0003589914,0.00016566738,0.072872974,0.00009856572,0.00043441815,0.00042612338,0.0005990892,0.8173975,0.0006584815,0.077728346,0.008925663,0.020334253],"study_design_scores_gemma":[0.000018722067,0.000057386365,0.00832602,0.000020920303,0.000045107685,0.00002092192,0.00016698257,0.9571354,0.00008509697,0.033295628,0.0008027526,0.00002503405],"about_ca_topic_score_codex":0.031852964,"about_ca_topic_score_gemma":0.027417326,"teacher_disagreement_score":0.031852964,"about_ca_system_score_codex":0.0017682584,"about_ca_system_score_gemma":0.0013090919,"threshold_uncertainty_score":0.06333512},"labels":[],"label_agreement":null},{"id":"W4281713533","doi":"10.17016/2380-7172.3133","title":"Understanding Bank Deposit Growth during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":28,"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); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Financial system; Business; Geography; Medicine; Virology; Archaeology; Internal medicine","score_opus":0.10828526131385226,"score_gpt":0.2558737741685182,"score_spread":0.14758851285466595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281713533","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":[0.74468976,0.010381725,0.0016277216,0.17053609,0.00071491493,0.000038558825,0.0072816634,0.00010148478,0.06462813],"genre_scores_gemma":[0.98762465,0.004256662,0.00028141352,0.0035390055,0.0005612808,0.000023173965,0.0012917606,0.000037814105,0.0023843984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992347,0.00016618155,0.000055828976,0.00013812745,0.00016008005,0.00024508662],"domain_scores_gemma":[0.99704725,0.00062844297,0.0010856302,0.00010484818,0.0006277419,0.00050620805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015900409,0.0002321583,0.00033321747,0.0011150643,0.0010972312,0.0049975044,0.00044994484,0.0018540615,0.0049198023],"category_scores_gemma":[0.00930982,0.00024301565,0.000189265,0.0016403423,0.0012012561,0.0040609203,0.0025310752,0.003370546,0.0011816764],"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":[0.0007112728,0.00033960686,0.5044082,0.00041874027,0.00009718836,0.001504553,0.0139046535,0.0075925984,0.0014526128,0.14496142,0.19638465,0.12822455],"study_design_scores_gemma":[0.000060005255,0.00013908106,0.6930171,0.00111851,0.000052499683,0.000547018,0.02641938,0.017502857,0.0010832683,0.09924168,0.16068493,0.00013360889],"about_ca_topic_score_codex":0.029749984,"about_ca_topic_score_gemma":0.029716171,"teacher_disagreement_score":0.029749984,"about_ca_system_score_codex":0.0034136092,"about_ca_system_score_gemma":0.001904643,"threshold_uncertainty_score":0.059153676},"labels":[],"label_agreement":null},{"id":"W4285038048","doi":"10.17016/2380-7172.3060","title":"Economic Resilience in the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"FEDS Notes","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","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":"Pandemic; Coronavirus disease 2019 (COVID-19); Fell; Quarter (Canadian coin); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); New normal; Resilience (materials science); Economics; Development economics; Geography; Virology; Biology; Cartography; Medicine; Infectious disease (medical specialty)","score_opus":0.09457185803784479,"score_gpt":0.30651509752013634,"score_spread":0.21194323948229155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285038048","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":[0.5819531,0.010021853,0.0063723014,0.19378355,0.0009554647,0.000044018278,0.0034229592,0.00019699553,0.20324963],"genre_scores_gemma":[0.9940221,0.0022226686,0.00018884821,0.0011806003,0.00015892091,0.000009541586,0.00020102288,0.000011617121,0.0020046826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997484,0.000076033764,0.000007694408,0.000023120623,0.000036221536,0.00010847146],"domain_scores_gemma":[0.99919885,0.00029986782,0.00017980585,0.000042535776,0.0001052858,0.00017361507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084818096,0.00022373398,0.00019231696,0.00080292666,0.0006496118,0.0019939193,0.00016097473,0.0009907462,0.0060694166],"category_scores_gemma":[0.004666338,0.000114832255,0.00020844121,0.0009886868,0.0012278009,0.0025201172,0.0016397991,0.0017784492,0.0005359251],"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":[0.0005863848,0.00014786184,0.1262751,0.00024685473,0.00013727408,0.0024036479,0.001409999,0.077153526,0.0010864971,0.564203,0.12542431,0.100925505],"study_design_scores_gemma":[0.000047736827,0.00016090926,0.20766559,0.0006375542,0.00006532029,0.0006676138,0.0072344635,0.034990393,0.0007054121,0.6368448,0.11086588,0.00011426041],"about_ca_topic_score_codex":0.010708427,"about_ca_topic_score_gemma":0.0064623533,"teacher_disagreement_score":0.010708427,"about_ca_system_score_codex":0.0017551893,"about_ca_system_score_gemma":0.0008109176,"threshold_uncertainty_score":0.02129221},"labels":[],"label_agreement":null},{"id":"W4309465487","doi":"10.17016/2380-7172.3228","title":"House Price Growth and Inflation During COVID-19","year":2022,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","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); Coronavirus disease 2019 (COVID-19); Inflation (cosmology); House price; Economics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pandemic; Monetary economics; Geography; Medicine; Virology; Internal medicine","score_opus":0.02875778451660972,"score_gpt":0.21421115031584845,"score_spread":0.18545336579923874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309465487","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":[0.83586615,0.011355901,0.00067475514,0.042604513,0.0020184543,0.00002460666,0.017178329,0.00007587528,0.09020146],"genre_scores_gemma":[0.97472644,0.0032477756,0.00012389246,0.0017652899,0.0011348317,0.000015838841,0.0067135347,0.000028090164,0.01224433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995659,0.000059387174,0.000031510914,0.000058403875,0.00013159597,0.00015330687],"domain_scores_gemma":[0.99881685,0.000124493,0.0004308956,0.00003994689,0.00038282276,0.00020497573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004991638,0.00017529287,0.00015659365,0.00046696045,0.00049173733,0.00194206,0.00017802924,0.00083649467,0.003942872],"category_scores_gemma":[0.0029104424,0.000102998165,0.00013274567,0.00082894124,0.00032113085,0.0008484405,0.00080484746,0.0015833932,0.0010987378],"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":[0.0005978523,0.00017708784,0.78645253,0.0001424641,0.00008471831,0.0010226326,0.0020279062,0.0007968311,0.00048515407,0.026875272,0.11617971,0.065157905],"study_design_scores_gemma":[0.000012818312,0.000066550296,0.9530565,0.00008125347,0.000014584097,0.00018776664,0.0011212646,0.0007477986,0.00027169008,0.0013404861,0.043083705,0.000015511607],"about_ca_topic_score_codex":0.038401525,"about_ca_topic_score_gemma":0.0564995,"teacher_disagreement_score":0.038401525,"about_ca_system_score_codex":0.0014054801,"about_ca_system_score_gemma":0.00061149563,"threshold_uncertainty_score":0.076355994},"labels":[],"label_agreement":null},{"id":"W4411117822","doi":"10.17016/2380-7172.3787","title":"What Happens on Quarter-Ends in the Repo Market","year":2025,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Merger and Competition Analysis","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":"Quarter (Canadian coin); Economics; Geography; Archaeology","score_opus":0.02501067800227272,"score_gpt":0.2419450359672491,"score_spread":0.21693435796497637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411117822","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":[0.79742366,0.0032995865,0.0034805504,0.03595861,0.00062761497,0.000046053112,0.0018588667,0.00038788802,0.15691714],"genre_scores_gemma":[0.9926796,0.00038553067,0.00030812086,0.00103433,0.00029375424,0.000010512132,0.0004075574,0.00007882002,0.004801811],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975586,0.0005920267,0.0001235293,0.00047396403,0.0006362298,0.00061561324],"domain_scores_gemma":[0.9852889,0.0048423414,0.0044571715,0.0011268796,0.002303197,0.0019814356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047591506,0.00015506116,0.0006254933,0.0010240839,0.0023094323,0.009401334,0.0010595487,0.0030614953,0.020619838],"category_scores_gemma":[0.033422653,0.00039179332,0.00039604702,0.0014032639,0.0016703878,0.009807733,0.0020746428,0.0029604998,0.0052781156],"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":[0.002903584,0.0006073594,0.24685471,0.00020549886,0.00020910159,0.002127812,0.008400179,0.006187298,0.002109594,0.44402114,0.16092333,0.1254505],"study_design_scores_gemma":[0.00020647328,0.00035118873,0.31481445,0.00032793416,0.00013374009,0.0007364157,0.029459463,0.020315643,0.0022658163,0.5414494,0.089650676,0.00028882656],"about_ca_topic_score_codex":0.008406544,"about_ca_topic_score_gemma":0.0073484173,"teacher_disagreement_score":0.020619838,"about_ca_system_score_codex":0.0018486424,"about_ca_system_score_gemma":0.0009896283,"threshold_uncertainty_score":0.06898022},"labels":[],"label_agreement":null},{"id":"W4412501602","doi":"10.17016/2380-7172.3856","title":"The International Role of the U.S. Dollar – 2025 Edition","year":2025,"lang":"en","type":"article","venue":"FEDS Notes","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":9,"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":"Liberian dollar; Economics; Political science; Psychology; Finance","score_opus":0.011359257962295857,"score_gpt":0.2206301714986416,"score_spread":0.20927091353634572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412501602","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":[0.0068689557,0.0982492,0.002584606,0.029844504,0.037904106,0.0000896838,0.03709127,0.0016997771,0.78566784],"genre_scores_gemma":[0.18388969,0.11586016,0.008662315,0.008485969,0.0077236607,0.00047037433,0.0687775,0.0014652445,0.60466516],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940753,0.00006577216,0.000051666335,0.00008187312,0.00031769884,0.000075430515],"domain_scores_gemma":[0.9992373,0.000059379483,0.00012855984,0.00005389339,0.00042017808,0.00010082822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010585614,0.0016298154,0.0004936744,0.0036120794,0.00068538386,0.0075981743,0.00071282295,0.0016704578,0.044179317],"category_scores_gemma":[0.0030465052,0.00022525885,0.0003416618,0.0059637963,0.00072397216,0.0043304204,0.001356728,0.0023593262,0.03108809],"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":[0.000115133254,0.000019199582,0.0009997872,0.00026659784,0.000017988687,0.00009712989,0.000050527273,0.00034915793,0.00034513205,0.06375718,0.80425745,0.12972476],"study_design_scores_gemma":[0.0000036474605,0.000013332013,0.0021343268,0.0003202959,0.0000056346785,0.00007776453,0.00008406844,0.0001496795,0.00020548023,0.003835614,0.99316216,0.000008044323],"about_ca_topic_score_codex":0.0067887297,"about_ca_topic_score_gemma":0.0030308866,"teacher_disagreement_score":0.044179317,"about_ca_system_score_codex":0.0019978182,"about_ca_system_score_gemma":0.0024607317,"threshold_uncertainty_score":0.14779454},"labels":[],"label_agreement":null},{"id":"W4417391277","doi":"10.17016/2380-7172.3921","title":"A Note on Recent Dynamics of Consumer Delinquency Rates","year":2025,"lang":"","type":"article","venue":"FEDS Notes","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","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":"Credit card; Debt; Loan; Juvenile delinquency; Quarter (Canadian coin); Consumer debt; Household debt; Financial crisis; Credit history","score_opus":0.01676159399360617,"score_gpt":0.28140648746428454,"score_spread":0.2646448934706784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417391277","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":[0.66594017,0.0132804755,0.0052283793,0.13761987,0.0020267302,0.0000934498,0.082358725,0.0004735709,0.09297865],"genre_scores_gemma":[0.92788845,0.009624048,0.004243303,0.00668013,0.00177632,0.00006788963,0.027223937,0.00019281523,0.022303091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995402,0.00007298814,0.00005164964,0.0001301673,0.00013808827,0.000067016656],"domain_scores_gemma":[0.9919783,0.0019166146,0.0025493724,0.0005934228,0.002487582,0.0004747108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015493806,0.00019410651,0.0001908341,0.0021536907,0.0006962983,0.002470789,0.00036919082,0.0011249337,0.00920709],"category_scores_gemma":[0.008480647,0.00023899088,0.00024206107,0.003860304,0.00052333804,0.0019389783,0.0008216881,0.002107727,0.0015859499],"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":[0.00018064109,0.00007716582,0.7253465,0.00023268508,0.00010852361,0.0003698564,0.0047510373,0.0010520841,0.0017181264,0.02244152,0.15559688,0.088124864],"study_design_scores_gemma":[0.0000052560827,0.00004720592,0.8656703,0.0001513101,0.000016404385,0.00028481794,0.0016434976,0.0008122766,0.00052035943,0.0007760024,0.13003217,0.000040357074],"about_ca_topic_score_codex":0.062194996,"about_ca_topic_score_gemma":0.1257941,"teacher_disagreement_score":0.062194996,"about_ca_system_score_codex":0.0010169423,"about_ca_system_score_gemma":0.0006816315,"threshold_uncertainty_score":0.12366599},"labels":[],"label_agreement":null}]}