{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1295,"total_is_capped":false,"direct_labels_cover":2,"predictions_cover":1295,"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":"50f132b805e8","filters":{"venue":"Econstor (Econstor)"}},"results":[{"id":"W2590728996","doi":"","title":"The Feminization of Agriculture? Economic Restructuring in Rural Latin America","year":2005,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":159,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"European Commission; International Development Research Centre; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Restructuring; Latin Americans; Feminization (sociology); Agriculture; Economic growth; Political science; Economics; Geography; Sociology; Gender studies","authors":[{"name":"Carmen Diana Deere","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008487190822396535,"gpt":0.2212312959951095,"spread":0.2127441051727129,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142746,0.0002315204,0.0001523853,0.0004578265,0.001939504,0.00277375,0.0003026991,0.0006101365,0.003614816],"category_scores_gemma":[0.000535415,0.00009905558,0.0001153334,0.001114204,0.004698053,0.00124823,0.001576458,0.0006933434,0.0002565892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002941485,"about_ca_system_score_gemma":0.001392938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009252946,"about_ca_topic_score_gemma":0.01123343,"domain_scores_codex":[0.9996051,0.0002003492,0.000005346783,0.00003421753,0.00003118595,0.0001237229],"domain_scores_gemma":[0.9997935,0.00006267284,0.00006290506,0.00001562382,0.00002394468,0.000041337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001083118,0.0001497775,0.0269942,0.0005821598,0.00001637061,0.001478097,0.1856514,0.0008695028,0.004247403,0.5913302,0.0298749,0.1586978],"study_design_scores_gemma":[0.00001181608,0.00004771405,0.0477511,0.0003953671,0.000003926826,0.0003824124,0.09475269,0.0001538675,0.0002745563,0.02714212,0.8290722,0.00001226311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3630355,0.04556413,0.0007251237,0.1136616,0.0004282243,0.00002717193,0.00009468059,0.00004402359,0.4764196],"genre_scores_gemma":[0.9454256,0.01949558,0.0002500816,0.004640679,0.0003500969,0.00002421375,0.00004140646,0.00002044875,0.02975208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009252946,"threshold_uncertainty_score":0.0213421,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1535019193","doi":"10.34989/swp-2010-38","title":"The Impact of Liquidity on Bank Profitability","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":154,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Market liquidity; Profitability index; Liquidity crisis; Liquidity risk; Business; Accounting liquidity; Financial system; Asset (computer security); Financial crisis; Sample (material); Economics; Finance; Computer science; Macroeconomics","authors":[{"name":"Étienne Bordeleau","is_ca":true},{"name":"Christopher Graham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02797785753604495,"gpt":0.2619530612987582,"spread":0.2339752037627133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009266037,0.0001058856,0.0002519745,0.001022233,0.0006988422,0.002315942,0.0002415315,0.000473302,0.002465623],"category_scores_gemma":[0.008210532,0.00009325062,0.0002529706,0.001372688,0.001161511,0.0007385268,0.0007646694,0.0006541755,0.0004996222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003540649,"about_ca_system_score_gemma":0.002166467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1043881,"about_ca_topic_score_gemma":0.1261523,"domain_scores_codex":[0.9989342,0.0001512198,0.00004198762,0.00009573692,0.0003819356,0.0003949373],"domain_scores_gemma":[0.9912743,0.003582223,0.00301923,0.0002042316,0.001181609,0.0007384471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003463961,0.00006443907,0.9689028,0.00003563309,0.00006642077,0.0002188611,0.0007428164,0.003544501,0.0009294366,0.00206482,0.001706453,0.0213775],"study_design_scores_gemma":[0.00000605631,0.00005033681,0.9963934,0.00001347798,0.00002115471,0.00005802583,0.0006491353,0.001093693,0.0002611473,0.0005982608,0.0008458687,0.000009494968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947188,0.0004082728,0.00008604813,0.000443009,0.00000222035,0.000004213604,0.0002641191,0.000005449291,0.004067891],"genre_scores_gemma":[0.9992937,0.0001514368,0.00001422434,0.00002066334,0.000004304428,9.955257e-7,0.000127278,0.000001249237,0.0003861103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043881,"threshold_uncertainty_score":0.2075611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783846473","doi":"10.34989/sdp-2017-16","title":"Central Bank Digital Currency: Motivations and Implications","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":102,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Digital currency; Distributed ledger; Currency; Ledger; Blockchain; Business; Cryptocurrency; Distribution (mathematics); Financial system; Commerce; Economics; Central bank; Monetary economics; Accounting; Monetary policy; Computer security; Computer science","authors":[{"name":"Walter Engert","is_ca":false},{"name":"Ben Siu-cheong Fung","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01264760385277039,"gpt":0.2333627692682731,"spread":0.2207151654155027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004456373,0.0003694594,0.0003556681,0.001050144,0.002690893,0.009084268,0.0008014369,0.004797949,0.007156328],"category_scores_gemma":[0.01349232,0.0003407506,0.0001988145,0.001302633,0.007867936,0.007883092,0.003327869,0.003766357,0.0007730946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769993,"about_ca_system_score_gemma":0.00173927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008534453,"about_ca_topic_score_gemma":0.0005739094,"domain_scores_codex":[0.9971195,0.001474453,0.0001143596,0.0004034881,0.0005886293,0.000299581],"domain_scores_gemma":[0.9907952,0.005586139,0.00112121,0.0006204286,0.001152145,0.0007247843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000208496,0.00001033217,0.0003330015,0.00002686928,0.000001557101,0.0001429025,0.0002337813,0.0002155585,0.0001202516,0.9948119,0.0009572751,0.003125831],"study_design_scores_gemma":[0.00005899418,0.00004081278,0.0008133451,0.0001709715,0.000008667824,0.0006164039,0.001907145,0.004274591,0.001556978,0.9450216,0.04549708,0.00003340863],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2647478,0.01036943,0.05494493,0.1732656,0.001150481,0.0001738485,0.0001661517,0.0001290368,0.4950527],"genre_scores_gemma":[0.9834638,0.001984607,0.00386204,0.001655,0.0002555615,0.00006844853,0.00001814892,0.00001873314,0.008673609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009084268,"threshold_uncertainty_score":0.02394032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1487784592","doi":"","title":"Pricing as a Strategic Capability","year":2003,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":86,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Competitor analysis; Business; Set (abstract data type); Marketing; Pricing strategies; Industrial organization; Strategic management; Capital (architecture); Microeconomics; Economics; Computer science","authors":[{"name":"Shantanu Dutta","is_ca":false},{"name":"Mark Bergen","is_ca":false},{"name":"Daniel Lévy","is_ca":false},{"name":"Mark Ritson","is_ca":false},{"name":"Mark Zbaracki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02375163660572005,"gpt":0.2283435765168959,"spread":0.2045919399111759,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002327513,0.000619088,0.0002815255,0.00157485,0.001788252,0.01225723,0.0006524847,0.00341167,0.008731605],"category_scores_gemma":[0.005429579,0.0003235016,0.0004615398,0.001668755,0.01484443,0.01382899,0.003968423,0.003631935,0.001556332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003275869,"about_ca_system_score_gemma":0.003945708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002577321,"about_ca_topic_score_gemma":0.001285741,"domain_scores_codex":[0.9976932,0.0009230321,0.00008732452,0.0003267406,0.0005914423,0.0003782151],"domain_scores_gemma":[0.9972069,0.001042175,0.0003245836,0.0003720957,0.0005025053,0.0005518788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002389204,0.000004511072,0.0001159541,0.000007955293,0.00000168683,0.00002794224,0.000257475,0.0002675221,0.00005668038,0.9959318,0.0008416969,0.002484345],"study_design_scores_gemma":[0.000006279573,0.00001162576,0.0002704249,0.00004087048,0.000004022408,0.00007373164,0.0003372889,0.0009358281,0.0001132822,0.9643412,0.03385696,0.00000860849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02959145,0.00266456,0.03063668,0.02429224,0.0003030373,0.000043432,0.00007099698,0.00009199405,0.9123056],"genre_scores_gemma":[0.9630728,0.00202156,0.005855476,0.001473926,0.0002939006,0.00005408152,0.00004569112,0.00005141013,0.02713108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01225723,"threshold_uncertainty_score":0.02921015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1860269913","doi":"10.34989/swp-2010-4","title":"Macroprudential Regulation and Systemic Capital Requirements","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":80,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Capital (architecture); Economics; Systemic risk; Welfare economics; Humanities; Financial system; Political science; Geography; Financial crisis; Philosophy; Macroeconomics","authors":[{"name":"Céline Gauthier","is_ca":true},{"name":"Alfred Lehar","is_ca":false},{"name":"Moez Souissi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02020757196826247,"gpt":0.2343279401446273,"spread":0.2141203681763648,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002610624,0.0001908885,0.0003507593,0.0005408195,0.0004285445,0.002435291,0.000623813,0.0007798464,0.002530509],"category_scores_gemma":[0.0099502,0.0001719312,0.0004046475,0.0005821061,0.001904896,0.001131949,0.001028306,0.0008434762,0.0002990342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619235,"about_ca_system_score_gemma":0.001662638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032478,"about_ca_topic_score_gemma":0.008685288,"domain_scores_codex":[0.9979835,0.0004451225,0.0001275615,0.0004583916,0.0005222766,0.0004632345],"domain_scores_gemma":[0.9891174,0.00279458,0.005350377,0.001297044,0.0009971875,0.0004433453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002839359,0.0002227342,0.2054984,0.0001530852,0.0002322411,0.0004565561,0.001709913,0.100044,0.01563689,0.6063093,0.00385302,0.0655999],"study_design_scores_gemma":[0.0001276953,0.0003284553,0.5560485,0.0001346196,0.0001770451,0.0006008086,0.0008361412,0.1184667,0.009787216,0.2919622,0.02143398,0.00009669425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9112325,0.0009382546,0.03689153,0.001907449,0.00001819271,0.00007366285,0.0003919997,0.0001465778,0.04839991],"genre_scores_gemma":[0.9980209,0.0001024337,0.0005217204,0.00006258207,0.00000777531,0.00001393443,0.00004824263,0.00000433167,0.001218102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01032478,"threshold_uncertainty_score":0.02052933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2736383532","doi":"10.34989/sdp-2017-10","title":"Fintech: Is This Time Different? A Framework for Assessing Risks and Opportunities for Central Banks","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Business; Financial system; Risk analysis (engineering)","authors":[{"name":"Meyer Aaron","is_ca":true},{"name":"Francisco Rivadeneyra","is_ca":true},{"name":"Samantha Sohal","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08090528962661818,"gpt":0.2814103847778863,"spread":0.2005050951512681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005697697,0.001037071,0.0007230786,0.003768744,0.002916436,0.01092632,0.001514302,0.005177367,0.01072837],"category_scores_gemma":[0.0112629,0.0003610133,0.0007160065,0.00285321,0.006648515,0.007940499,0.004206117,0.003190526,0.0007979201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006414449,"about_ca_system_score_gemma":0.006316851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008379891,"about_ca_topic_score_gemma":0.009275052,"domain_scores_codex":[0.9952414,0.002068742,0.000126895,0.0006033922,0.001176058,0.0007833787],"domain_scores_gemma":[0.9936459,0.002244422,0.001632013,0.000392333,0.0008478948,0.001237451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003699142,0.00005379315,0.003697717,0.00003727415,0.00002091361,0.0001970785,0.0007655044,0.004215156,0.0001557245,0.9749419,0.003008993,0.01286883],"study_design_scores_gemma":[0.00004122979,0.0001219174,0.006388345,0.0002167178,0.00003688382,0.0002207321,0.002260479,0.01465274,0.0002759828,0.9428383,0.03287731,0.00006933638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2351548,0.004630112,0.1346166,0.04265905,0.0004198664,0.0003269432,0.001047551,0.0002952869,0.5808498],"genre_scores_gemma":[0.9689097,0.0009065544,0.01656851,0.001045125,0.0001617692,0.0002021144,0.0001476712,0.00003870756,0.01201987],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01092632,"threshold_uncertainty_score":0.04654026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125220472","doi":"","title":"Inequality from Generation to Generation: The United States in Comparison","year":2016,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Inequality; Meaning (existential); Government (linguistics); Politics; State (computer science); Order (exchange); Public policy; Political science; Work (physics); Political economy; Economics; Sociology; Development economics; Economic growth; Law; Psychology","authors":[{"name":"Miles Corak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1293657482806715,"gpt":0.3711596107579478,"spread":0.2417938624772763,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038353,0.0001479851,0.0004177,0.00220525,0.001432966,0.002329508,0.0003752507,0.0005431913,0.004254678],"category_scores_gemma":[0.003522011,0.00008630611,0.0002233173,0.005669309,0.0009046178,0.001769142,0.002837192,0.0008016821,0.0003020919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231177,"about_ca_system_score_gemma":0.0007728375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1225164,"about_ca_topic_score_gemma":0.1723828,"domain_scores_codex":[0.9991964,0.0003409804,0.00003836479,0.00009885927,0.0001206087,0.0002047548],"domain_scores_gemma":[0.998814,0.0003434012,0.0002093195,0.0001122365,0.0003150865,0.0002060005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001089926,0.0002727549,0.4692655,0.0003639733,0.0004194428,0.001387766,0.09618767,0.001134892,0.0006474834,0.1688457,0.08114368,0.1792413],"study_design_scores_gemma":[0.00004300402,0.000179279,0.7956468,0.0007664757,0.0001938159,0.0004188682,0.07467397,0.0004571196,0.0003706526,0.01533279,0.1118585,0.00005889653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8694006,0.009394486,0.0005780345,0.01163138,0.0005477007,0.00003374825,0.004752608,0.00002366641,0.1036378],"genre_scores_gemma":[0.9913539,0.00285481,0.0002356094,0.001116188,0.00008902936,0.00003394049,0.001993397,0.00001747658,0.002305615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1225164,"threshold_uncertainty_score":0.2436066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1557160498","doi":"","title":"Inequality patterns in western-type democracies: Cross-country differences and time changes","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Poverty; Human Development Index; Inequality; Life expectancy; Human development (humanity); Development economics; Economic inequality; Per capita income; Human Development Report; Index (typography); Per capita; Economics; Economic growth; Political science; Demographic economics; Sociology; Demography; Mathematics","authors":[{"name":"Andrea Brandolini","is_ca":false},{"name":"Timothy M. Smeeding","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04351399903391612,"gpt":0.3319970401429365,"spread":0.2884830411090203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005834361,0.0001240671,0.0002642487,0.002200085,0.0004352688,0.0009804281,0.0001484624,0.0002195413,0.003386528],"category_scores_gemma":[0.002382867,0.00010909,0.0002548669,0.003131478,0.0004107826,0.0008560066,0.0008470842,0.0003978431,0.0005281503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002927037,"about_ca_system_score_gemma":0.0001321605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005460409,"about_ca_topic_score_gemma":0.009350456,"domain_scores_codex":[0.999675,0.00007850595,0.00003217272,0.00007234762,0.00005052143,0.00009137254],"domain_scores_gemma":[0.9987361,0.0002992303,0.0004664188,0.0001339143,0.0002420384,0.0001222765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003398613,0.0000983643,0.9630184,0.00005904512,0.0002289055,0.0001387572,0.005011627,0.0002852551,0.0008439537,0.002584898,0.001117091,0.02627372],"study_design_scores_gemma":[0.000001653488,0.00002111841,0.9973555,0.000008873042,0.00001056197,0.00004753034,0.00117931,0.00007776142,0.00008435152,0.0001724439,0.001037833,0.000003162851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938874,0.0004197939,0.0001522584,0.0001324697,0.0000131318,0.00000608742,0.0007035721,0.000006808893,0.004678607],"genre_scores_gemma":[0.9981005,0.0002871456,0.00007308137,0.00002045325,0.00001216818,0.000005363634,0.0008686188,0.000004710815,0.0006279557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005460409,"threshold_uncertainty_score":0.01132905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1936551419","doi":"","title":"Integrating Poverty, Gender and Environmental Concerns into Value Chain Analysis: A Conceptual Framework and Lessons for Action Research","year":2008,"lang":"en","type":"book","venue":"Econstor (Econstor)","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Overseas Development Institute; International Development Research Centre","keywords":"Poverty; Action (physics); Value (mathematics); Conceptual framework; Sociology; Political science; Economic growth; Economics; Computer science; Social science","authors":[{"name":"Simon Bolwig","is_ca":false},{"name":"Stefano Ponte","is_ca":false},{"name":"Andries du Toit","is_ca":false},{"name":"Lone Riisgaard","is_ca":false},{"name":"Niels Halberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06776662293642623,"gpt":0.3284389515127921,"spread":0.2606723285763659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03106775,0.002447676,0.001914346,0.009370782,0.009677708,0.02524582,0.006503028,0.01058954,0.004886973],"category_scores_gemma":[0.01199601,0.001123654,0.001613269,0.01062632,0.09430108,0.03483768,0.01131141,0.009175581,0.0005199079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02384176,"about_ca_system_score_gemma":0.02648104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515394,"about_ca_topic_score_gemma":0.01468711,"domain_scores_codex":[0.9787071,0.01727068,0.0004836894,0.001045758,0.001387196,0.001105597],"domain_scores_gemma":[0.9780535,0.01636592,0.001301781,0.0009323304,0.001725812,0.001620742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006723117,0.00004578644,0.0004747098,0.0001722135,0.000007268231,0.0001315993,0.01165478,0.0007745497,0.00004758481,0.9787787,0.0008581324,0.007048029],"study_design_scores_gemma":[0.000008870375,0.00002653068,0.0002104697,0.0006059818,0.000007275295,0.0000649973,0.02217015,0.001464665,0.00005927499,0.9531661,0.02219629,0.00001935462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03821762,0.03255206,0.5079017,0.2441545,0.001270261,0.001481649,0.0002694032,0.0001833115,0.1739694],"genre_scores_gemma":[0.6518366,0.02706117,0.2977859,0.01051671,0.0005883594,0.002912017,0.0002096246,0.0001512181,0.008938408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03106775,"threshold_uncertainty_score":0.1729849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2524451091","doi":"10.34989/sdp-2016-15","title":"The Role of Central Banks in Promoting Financial Stability: An International Perspective","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Financial stability; Political science; Publics; Humanities; Economics; Financial system; Philosophy; Law","authors":[{"name":"Rose Cunningham","is_ca":true},{"name":"Christian Friedrich","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01598798527167085,"gpt":0.2321932545663611,"spread":0.2162052692946902,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008734209,0.0004701073,0.0006472443,0.002094783,0.001477363,0.01063982,0.000878704,0.004226788,0.004542729],"category_scores_gemma":[0.01597707,0.0002907518,0.0003207129,0.003057863,0.006071631,0.005177846,0.001755667,0.003863632,0.0008176994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003109341,"about_ca_system_score_gemma":0.004096236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004870709,"about_ca_topic_score_gemma":0.00227336,"domain_scores_codex":[0.9963822,0.001934284,0.0001442437,0.0004081659,0.0005428967,0.0005881876],"domain_scores_gemma":[0.9800077,0.008182645,0.004651188,0.0008707465,0.004577068,0.001710734],"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":[0.0002083302,0.0001308561,0.01403822,0.0004520806,0.00008784986,0.0002700952,0.002072979,0.003584406,0.0007234162,0.8824167,0.02346331,0.0725517],"study_design_scores_gemma":[0.0001940186,0.0002490288,0.06898773,0.004798749,0.000311264,0.0006984409,0.005406315,0.009663773,0.002959931,0.567633,0.3389344,0.000163352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1100236,0.199032,0.01489767,0.3517824,0.00182909,0.00005251693,0.0002666641,0.0001535404,0.3219627],"genre_scores_gemma":[0.9353053,0.05026929,0.001430685,0.006233652,0.002064075,0.00003565395,0.00004036901,0.00003348822,0.004587512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063982,"threshold_uncertainty_score":0.04619145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106380396","doi":"","title":"Macroeconomic forecasting with mixed frequency data: Forecasting US output growth","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Autoregressive model; Econometrics; Quarter (Canadian coin); Nowcasting; Economics; Time series; Computer science; Machine learning; Geography","authors":[{"name":"Michael P. Clements","is_ca":false},{"name":"Ana Beatriz Galvão","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1336573886571445,"gpt":0.2453989200149171,"spread":0.1117415313577726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002426023,0.0004759477,0.0005665332,0.001094398,0.0002303457,0.00114929,0.0005397227,0.0007735787,0.0009551661],"category_scores_gemma":[0.01821528,0.0002729087,0.0004562896,0.001599151,0.0001679073,0.001397546,0.0005206359,0.0007973904,0.0002676407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582079,"about_ca_system_score_gemma":0.0002807276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007633355,"about_ca_topic_score_gemma":0.005583263,"domain_scores_codex":[0.9993184,0.0004079577,0.00003377896,0.00008664831,0.0001164989,0.0000366635],"domain_scores_gemma":[0.9952673,0.003410426,0.0004442418,0.0003639423,0.0004030903,0.0001111057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00117816,0.0002944839,0.2055118,0.0001991697,0.000351398,0.000301847,0.0002709734,0.4383401,0.001631732,0.01590042,0.006378132,0.3296418],"study_design_scores_gemma":[0.00003399275,0.00005505012,0.0136835,0.0000247442,0.00002859356,0.00003387218,0.00004973511,0.9741268,0.0006776265,0.01009033,0.001178547,0.00001718026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7578442,0.00200071,0.2317757,0.002119803,0.0002491752,0.00006087137,0.002158824,0.0004243282,0.003366353],"genre_scores_gemma":[0.9583678,0.0005977318,0.0387946,0.00007103303,0.0001523766,0.00003924612,0.00137323,0.00002033545,0.0005835402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007633355,"threshold_uncertainty_score":0.01517785,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2216119566","doi":"10.34989/swp-2014-53","title":"The Impact of U.S. Monetary Policy Normalization on Capital Flows to Emerging-Market Economies","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Monetary policy; Economics; Normalization (sociology); Monetary economics; Capital flows; Emerging markets; Capital market; Macroeconomics; International economics; Market economy; Finance","authors":[{"name":"Tatjana Dahlhaus","is_ca":true},{"name":"Garima Vasishtha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01345536656912379,"gpt":0.2445420528388602,"spread":0.2310866862697364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001924794,0.0005134372,0.0004565863,0.0006299528,0.0004850756,0.002647603,0.0002754868,0.000886861,0.002308576],"category_scores_gemma":[0.00922672,0.0002464771,0.0006103398,0.001036921,0.0006855633,0.001391793,0.00125933,0.001887286,0.0002985174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405538,"about_ca_system_score_gemma":0.001993489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03179488,"about_ca_topic_score_gemma":0.02640761,"domain_scores_codex":[0.9992546,0.00028938,0.00005754522,0.00009728012,0.0001340896,0.00016697],"domain_scores_gemma":[0.9966406,0.00102977,0.001520977,0.0001488312,0.000365525,0.0002942311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001421094,0.0006391347,0.5845726,0.0003250749,0.0006560495,0.0017526,0.0009445046,0.2173145,0.003682187,0.07249933,0.01808148,0.09811141],"study_design_scores_gemma":[0.0001328448,0.0008016524,0.7886057,0.0002399289,0.0004411179,0.0002783699,0.002024658,0.1499185,0.005870197,0.03607326,0.01549197,0.0001217425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976976,0.001147493,0.002277882,0.005619004,0.000230969,0.00002084033,0.0008556958,0.0001391203,0.012733],"genre_scores_gemma":[0.9976217,0.0008133673,0.0002393551,0.00033186,0.0000467459,0.000005656143,0.0003094075,0.00001244887,0.000619476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179488,"threshold_uncertainty_score":0.06321961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W93116198","doi":"","title":"Failure to launch: Cross-national trends in the transition to economic independence","year":2007,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Earnings; Independence (probability theory); Demographic economics; Wage; Economics; Demography; Geography; Political science; Development economics; Labour economics; Sociology","authors":[{"name":"Lisa Bell","is_ca":false},{"name":"Gary Burtless","is_ca":false},{"name":"Janet C. Gornick","is_ca":false},{"name":"Timothy M. Smeeding","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02694420071983883,"gpt":0.31321637336589,"spread":0.2862721726460512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008008208,0.0001229485,0.000250334,0.001553011,0.0004645304,0.001116932,0.0003559591,0.000353252,0.001556057],"category_scores_gemma":[0.002572762,0.0001353051,0.0002692798,0.002474846,0.0003982064,0.0008129443,0.001034204,0.0005907597,0.0002972021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007269689,"about_ca_system_score_gemma":0.0005662512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.100938,"about_ca_topic_score_gemma":0.1564754,"domain_scores_codex":[0.9995316,0.00005910754,0.0000556236,0.00009258288,0.00009275098,0.0001684085],"domain_scores_gemma":[0.9976585,0.0002686381,0.001017656,0.00009480384,0.0005966601,0.0003636758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002654929,0.000008459951,0.9958612,0.00001123998,0.000018192,0.00002981683,0.0006623377,0.00004740959,0.00004454335,0.00006391734,0.000220129,0.003006312],"study_design_scores_gemma":[2.863584e-7,0.000007803663,0.9989281,0.000004344623,0.000002487803,0.00001847457,0.0006281016,0.00002547515,0.00001604909,0.000006607351,0.0003608123,0.000001349994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964691,0.0005360596,0.00005506599,0.0001348085,0.000007532391,0.000004090976,0.001191114,0.000005000609,0.001597181],"genre_scores_gemma":[0.9978531,0.0003030324,0.00004866612,0.0000343856,0.000006080281,0.000005536022,0.001389691,0.000003251456,0.0003562925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100938,"threshold_uncertainty_score":0.2007009,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W436217250","doi":"","title":"Post-Tsunami recovery : issues and challenges in Sri Lanka","year":2006,"lang":"en","type":"book","venue":"Econstor (Econstor)","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Simon Fraser University","keywords":"Sri lanka; Geography; Environmental planning; Tanzania","authors":[{"name":"Sisira Jayasuriya","is_ca":false},{"name":"Paul Steele","is_ca":false},{"name":"Dushni Weerakoon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02710828959164043,"gpt":0.2041864463759436,"spread":0.1770781567843031,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003926628,0.0006151971,0.0007478312,0.002090417,0.007822282,0.01251966,0.002903471,0.003721053,0.01094411],"category_scores_gemma":[0.004090122,0.0004670094,0.0006544486,0.004477174,0.005789398,0.005586202,0.006933052,0.003873992,0.001581147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01047254,"about_ca_system_score_gemma":0.02402488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1101164,"about_ca_topic_score_gemma":0.1400013,"domain_scores_codex":[0.9957705,0.001201291,0.0002474862,0.0001526022,0.0003357163,0.002292346],"domain_scores_gemma":[0.9966148,0.0009113935,0.0005677236,0.0001422883,0.000887042,0.0008767536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006776848,0.001015535,0.1102264,0.01334826,0.0004657486,0.0588675,0.1714021,0.00326551,0.003342496,0.1068673,0.1131476,0.417374],"study_design_scores_gemma":[0.00003189208,0.0003137757,0.1400031,0.004309917,0.0001244067,0.003929109,0.6385237,0.0003582964,0.0004878971,0.008901672,0.2028256,0.000190655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.396181,0.1211437,0.0006073592,0.3416085,0.001234716,0.0002827745,0.001175958,0.0001456168,0.1376205],"genre_scores_gemma":[0.8949472,0.07785686,0.0008839603,0.0114431,0.0003807995,0.0002125152,0.000582163,0.00005730638,0.01363623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1101164,"threshold_uncertainty_score":0.2189509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W612351064","doi":"10.34989/sdp-2014-2","title":"Electronic Money and Payments: Recent Developments and Issues","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Political science; Humanities; Philosophy","authors":[{"name":"Ben Fung","is_ca":true},{"name":"Miguel Molico","is_ca":true},{"name":"Gerald Stuber","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0185447748708476,"gpt":0.2359900422721931,"spread":0.2174452674013455,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003307635,0.0005045427,0.000817574,0.004019392,0.001614711,0.009465748,0.001049011,0.003836024,0.013204],"category_scores_gemma":[0.01179343,0.0004138336,0.0003545939,0.01472559,0.006651946,0.008484481,0.001656134,0.003482516,0.001773299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009556081,"about_ca_system_score_gemma":0.007137938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05523774,"about_ca_topic_score_gemma":0.04773343,"domain_scores_codex":[0.9984079,0.0002731256,0.0001319951,0.0002486161,0.0007604338,0.0001779632],"domain_scores_gemma":[0.9843581,0.009138325,0.001164087,0.0003591069,0.004304272,0.0006761039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008836793,0.00006814155,0.002071739,0.002759715,0.0000246152,0.0002186529,0.0007640817,0.001252373,0.0001823783,0.4141343,0.08471127,0.4937244],"study_design_scores_gemma":[0.000005324073,0.00002022706,0.004430625,0.002505777,0.00001334792,0.0003493074,0.00117308,0.0003594486,0.00009477542,0.03356584,0.957455,0.00002727845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00269559,0.9140854,0.0009921143,0.04360601,0.00309872,0.000007126534,0.0001008394,0.0000222334,0.03539194],"genre_scores_gemma":[0.03932219,0.9330349,0.000790321,0.005155602,0.009632645,0.00001205298,0.0001037599,0.00003587809,0.0119127],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05523774,"threshold_uncertainty_score":0.1098325,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2120131826","doi":"","title":"On the Identification of Production Functions: How Heterogeneous is Productivity?","year":2011,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Identification (biology); Production (economics); Productivity; Estimator; Nonparametric statistics; Function (biology); Transformation (genetics); Productivity model; Econometrics; Value (mathematics); Production function; Mathematical optimization; Computer science; Mathematics; Total factor productivity; Statistics; Economics; Microeconomics","authors":[{"name":"Amit Gandhi","is_ca":false},{"name":"Salvador Navarro","is_ca":true},{"name":"David Rivers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06211045745732371,"gpt":0.1986797541925896,"spread":0.1365692967352659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01330557,0.001356333,0.002254387,0.002430222,0.0008439613,0.00384113,0.001438251,0.001991798,0.00280619],"category_scores_gemma":[0.06814148,0.0006994808,0.001622686,0.003783157,0.003132062,0.004283753,0.00182052,0.002218946,0.0007338686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948347,"about_ca_system_score_gemma":0.001912656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008922374,"about_ca_topic_score_gemma":0.003965802,"domain_scores_codex":[0.9906031,0.006038417,0.0004270437,0.001675221,0.0008043026,0.0004520034],"domain_scores_gemma":[0.9247615,0.06208396,0.006334507,0.005250381,0.001214998,0.0003546768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001664828,0.0001869694,0.0843852,0.0004743712,0.0008006943,0.0007775964,0.001651205,0.3079183,0.001321252,0.4552473,0.002365818,0.144705],"study_design_scores_gemma":[0.00004779971,0.00007245526,0.02292626,0.0002755272,0.0001089252,0.0001960033,0.0006643522,0.2248067,0.001057844,0.7455384,0.004221122,0.00008468076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1692184,0.002914989,0.8123735,0.004082529,0.00007670651,0.0001557395,0.001122602,0.0001996277,0.009856015],"genre_scores_gemma":[0.9446324,0.001934886,0.04906213,0.0003425262,0.0001294245,0.0002083776,0.0009100885,0.00008120454,0.00269891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01330557,"threshold_uncertainty_score":0.07036746,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1485770897","doi":"","title":"Short-term estimates of euro area real GDP by means of monthly data","year":2003,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Univariate; Autoregressive integrated moving average; Quarter (Canadian coin); Real gross domestic product; Econometrics; Context (archaeology); Term (time); Nowcasting; Economic indicator; Seasonal adjustment; Economics; Time series; Statistics; Geography; Mathematics; Macroeconomics; Multivariate statistics; Meteorology; Variable (mathematics)","authors":[{"name":"Gerhard Rünstler","is_ca":false},{"name":"Franck Sédillot","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07633756367763875,"gpt":0.2473518041448172,"spread":0.1710142404671785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001738897,0.0004578376,0.000404245,0.002381137,0.0001084775,0.0008785655,0.0003532292,0.0004133472,0.006232313],"category_scores_gemma":[0.01090581,0.0001963499,0.00037042,0.003149712,0.0001109085,0.001008078,0.000347418,0.0007145157,0.003138313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874621,"about_ca_system_score_gemma":0.0002543006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005289522,"about_ca_topic_score_gemma":0.003818622,"domain_scores_codex":[0.9991749,0.0001995001,0.0001101181,0.0001507519,0.0003221748,0.00004246666],"domain_scores_gemma":[0.9931298,0.00231976,0.002184352,0.0006097695,0.001614679,0.0001416623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004415713,0.0002575206,0.4602411,0.0007090466,0.0007251198,0.0003425198,0.0006264196,0.1269201,0.003839342,0.01513867,0.07523495,0.3155235],"study_design_scores_gemma":[0.00007529393,0.0003137518,0.7137374,0.0002402002,0.0001977541,0.0004951213,0.0004715806,0.1941256,0.008855112,0.01116994,0.0701948,0.0001233857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7215105,0.003489643,0.1110035,0.0009840085,0.0004979133,0.0001881164,0.1407921,0.002177112,0.01935716],"genre_scores_gemma":[0.8191327,0.002239795,0.04109259,0.00009069747,0.0003311147,0.0002415789,0.130363,0.0002692708,0.006239223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006232313,"threshold_uncertainty_score":0.02084917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124951017","doi":"","title":"Product choice and oligopoly market structure","year":2000,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Oligopoly; Competitor analysis; Microeconomics; Market structure; Product differentiation; Product (mathematics); Economics; Incentive; Product market; Quality (philosophy); Industrial organization; Cournot competition; Mathematics","authors":[{"name":"Michael J. Mazzeo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01026961888155814,"gpt":0.2001310826141178,"spread":0.1898614637325597,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000895809,0.0005378787,0.0008361864,0.00100159,0.0005182694,0.001897965,0.001216007,0.001475364,0.01051053],"category_scores_gemma":[0.00285179,0.0006004617,0.0007549727,0.001345383,0.001139169,0.002042844,0.0006226523,0.001100634,0.001553978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001922359,"about_ca_system_score_gemma":0.001074971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01420306,"about_ca_topic_score_gemma":0.0118548,"domain_scores_codex":[0.9995315,0.0001764655,0.00001813733,0.0001178228,0.00006394146,0.00009211627],"domain_scores_gemma":[0.997977,0.001042904,0.0006007686,0.0001069871,0.0001161242,0.0001562131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003423378,0.0008639614,0.05798944,0.0001790586,0.0001765993,0.0003887619,0.0004413691,0.4649376,0.001562707,0.4452519,0.004826689,0.02303965],"study_design_scores_gemma":[0.000240111,0.0001679535,0.01220773,0.00003323189,0.00005702526,0.0001197785,0.000186989,0.894951,0.000222131,0.0872376,0.004541136,0.00003531074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8217075,0.0005664831,0.1432988,0.002329812,0.00002849918,0.0004074462,0.002112822,0.0002356371,0.0293129],"genre_scores_gemma":[0.9751647,0.0003679597,0.01250841,0.0001412651,0.00002540571,0.0001764976,0.0005532317,0.00001639231,0.01104616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01420306,"threshold_uncertainty_score":0.03516126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2980627251","doi":"","title":"Manufacturing discontent: The rise to power of anti-TTIP groups","year":2016,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"European and International Law Studies","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Rosa Luxemburg Stiftung; European Commission","keywords":"Power (physics); Political science; Business; International trade","authors":[{"name":"Matthias Bauer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02018442721634568,"gpt":0.2604350619255741,"spread":0.2402506347092285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01110656,0.000408428,0.0003467182,0.002691098,0.01467366,0.01392077,0.001555646,0.00485211,0.008700339],"category_scores_gemma":[0.02252931,0.0004487592,0.0003359278,0.002234389,0.03413801,0.007523754,0.01099429,0.006956014,0.001071571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005298376,"about_ca_system_score_gemma":0.00226757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005829155,"about_ca_topic_score_gemma":0.004260534,"domain_scores_codex":[0.9885015,0.00543662,0.0002422172,0.00149649,0.002332535,0.001990648],"domain_scores_gemma":[0.9780237,0.01437885,0.002814231,0.00166876,0.001197473,0.001917005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007666214,0.00003737957,0.009615384,0.0001145358,0.0000292419,0.001304301,0.5321299,0.00009336729,0.001002291,0.3738861,0.02899709,0.05271367],"study_design_scores_gemma":[0.00003271153,0.00007920122,0.01226071,0.0003872372,0.00002702283,0.0009371243,0.314886,0.0004496933,0.001199546,0.07163151,0.5980316,0.00007764962],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5137525,0.006428045,0.005307291,0.1148429,0.00196395,0.00005098355,0.00009567533,0.0001348317,0.3574239],"genre_scores_gemma":[0.9798305,0.0004746152,0.0002564455,0.008164209,0.0002875652,0.00001625108,0.0000211967,0.00003864393,0.01091062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467366,"threshold_uncertainty_score":0.05873781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2910988670","doi":"","title":"Wie brüchig ist die soziale Architektur unserer Städte? Trends und Analysen der Segregation in 74 deutschen Städten","year":2018,"lang":"de","type":"preprint","venue":"Econstor (Econstor)","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Toronto; Sage Foundation","keywords":"Humanities; Political science; Art","authors":[{"name":"Marcel Helbig","is_ca":false},{"name":"Stefanie Jähnen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03000552991593601,"gpt":0.2988256100630078,"spread":0.2688200801470718,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009623028,0.0001502093,0.0003601172,0.003602538,0.001754611,0.003494248,0.0004096998,0.0004009576,0.005529818],"category_scores_gemma":[0.003255397,0.0002614003,0.000271567,0.01299311,0.001203567,0.001481704,0.00141875,0.0005277942,0.001289507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003630786,"about_ca_system_score_gemma":0.002980535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08776415,"about_ca_topic_score_gemma":0.1912758,"domain_scores_codex":[0.9989206,0.000239364,0.00009203925,0.0001596798,0.0002293768,0.0003589757],"domain_scores_gemma":[0.9980881,0.0003712299,0.0007521884,0.000140583,0.0004190321,0.0002289023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002596792,0.0000546815,0.9102793,0.0001544807,0.0001066063,0.0001983152,0.02980591,0.0009639146,0.001039998,0.01490187,0.005442652,0.03679265],"study_design_scores_gemma":[0.000004516745,0.00004935102,0.9413021,0.00009539194,0.00003877364,0.0001150458,0.02903057,0.0003826862,0.0005075423,0.0008761403,0.02757269,0.0000250917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871292,0.0008425132,0.0003520823,0.0007105045,0.00001106255,0.000009309828,0.002585912,0.000007973118,0.008351467],"genre_scores_gemma":[0.9919643,0.0007408169,0.0003696513,0.00006080369,0.000009914472,0.0000191109,0.002265864,0.00001203972,0.004557531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08776415,"threshold_uncertainty_score":0.1745066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1597675405","doi":"","title":"Caller Number Five and Related Timing Games","year":2008,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; National Science Foundation","keywords":"Mathematical economics; Nash equilibrium; Function (biology); Stochastic game; Class (philosophy); Attrition; Rank (graph theory); Best response; Order (exchange); Characterization (materials science); Perfect information; Repeated game; Computer science; Economics; Game theory; Mathematics; Combinatorics","authors":[{"name":"Andreas Park","is_ca":false},{"name":"Lones Smith","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02388684164764939,"gpt":0.2102604220053516,"spread":0.1863735803577022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009348909,0.0005616985,0.0006469998,0.0008689633,0.001345609,0.001922055,0.001428818,0.00122031,0.01361382],"category_scores_gemma":[0.005580725,0.0001874055,0.0006317361,0.000901503,0.001689562,0.003180361,0.001109454,0.001652951,0.001055285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002113528,"about_ca_system_score_gemma":0.001064079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002901489,"about_ca_topic_score_gemma":0.002292166,"domain_scores_codex":[0.9990984,0.000266676,0.00005043973,0.0001420975,0.0002107683,0.0002315126],"domain_scores_gemma":[0.9980174,0.0009279227,0.0003411692,0.000162454,0.0001719834,0.0003789828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004677897,0.00002144853,0.0001787883,0.00001989177,0.000004052363,0.00004623459,0.00006972279,0.006481567,0.0002269734,0.9862412,0.001459043,0.005204285],"study_design_scores_gemma":[0.00004019236,0.00002656925,0.0002014941,0.00001258162,0.000005103354,0.00007732716,0.00005942249,0.04566047,0.0002592158,0.9478354,0.005805857,0.00001631299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4164893,0.001282866,0.3148383,0.005038074,0.0002926627,0.0004186856,0.001273656,0.0003983556,0.259968],"genre_scores_gemma":[0.9124389,0.0004927688,0.04106983,0.0003283371,0.0001040604,0.0002330576,0.0004078793,0.00004444937,0.0448807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01361382,"threshold_uncertainty_score":0.04554278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3012809598","doi":"","title":"Different perspectives on differentiated responsibilities: a state-of-the-art review of the notion of common but differentiated responsibilities in international negotiations","year":2014,"lang":"en","type":"review","venue":"Econstor (Econstor)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Deutsches Institut für Entwicklungspolitik; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Joint Research Centre; Governo Brasil; European Commission; University of Oxford; University of Bristol; United Nations Development Programme; Government of Jiangxi Province; U.S. Environmental Protection Agency","keywords":"Political science; Negotiation; Kyoto Protocol; Climate change; Greenhouse gas; Political economy of climate change; United Nations Framework Convention on Climate Change; Politics; Developing country; State (computer science); Political economy; Development economics; International trade; Business; Economic growth; Economics; Law; Ecology","authors":[{"name":"Pieter Pauw","is_ca":false},{"name":"Clara Brandi","is_ca":false},{"name":"Carmen Richerzhagen","is_ca":false},{"name":"Steffen Bauer","is_ca":false},{"name":"Hanna Schmole","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06070324650828252,"gpt":0.2924772626226669,"spread":0.2317740161143844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0170937,0.001612987,0.002122929,0.005401141,0.004553316,0.0214186,0.003708204,0.008667055,0.00662593],"category_scores_gemma":[0.02684938,0.001305339,0.001582579,0.01366845,0.03020778,0.02911482,0.006690367,0.01495742,0.002301425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00694084,"about_ca_system_score_gemma":0.009280084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415835,"about_ca_topic_score_gemma":0.00398116,"domain_scores_codex":[0.9849696,0.007772972,0.001176468,0.00167199,0.003279342,0.001129524],"domain_scores_gemma":[0.9632766,0.03130443,0.00186165,0.001131632,0.001767958,0.0006578403],"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":[0.00003859454,0.00003753117,0.000339239,0.004629748,0.00004116481,0.0001510504,0.005728229,0.0006332293,0.0001379136,0.8641039,0.01631844,0.107841],"study_design_scores_gemma":[0.00001066334,0.00003367645,0.0008063827,0.01805249,0.00004224158,0.0005522305,0.005626326,0.0004073069,0.0001564478,0.3229974,0.6512531,0.00006169915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00104333,0.9290733,0.007605445,0.02644446,0.002176123,0.00001804618,0.00003193896,0.00001779819,0.0335895],"genre_scores_gemma":[0.03988265,0.9374012,0.002429786,0.01289907,0.00541481,0.00007553751,0.00008149954,0.00006979945,0.001745507],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0214186,"threshold_uncertainty_score":0.09040123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122319633","doi":"","title":"An intuitive guide to wavelets for economists","year":2005,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Wavelet; Exploratory analysis; Computer science; Legendre wavelet; Economic analysis; Data science; Management science; Engineering economics; Wavelet transform; Industrial engineering; Economics; Operations research; Discrete wavelet transform; Artificial intelligence; Mathematics; Engineering; Finance; Classical economics","authors":[{"name":"Patrick M. Crowley","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01770791875906682,"gpt":0.2982882545485855,"spread":0.2805803357895187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002427757,0.001654662,0.0008394587,0.002331269,0.0008696305,0.002660044,0.001697429,0.002681104,0.02663607],"category_scores_gemma":[0.01134358,0.0005347059,0.0006204767,0.002910783,0.002202749,0.005088663,0.001672081,0.005944117,0.02256827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009186302,"about_ca_system_score_gemma":0.001167246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009991066,"about_ca_topic_score_gemma":0.001292271,"domain_scores_codex":[0.9990146,0.0004186363,0.0001021769,0.0001278556,0.0002709435,0.00006575834],"domain_scores_gemma":[0.99682,0.002103033,0.00017518,0.0002262901,0.00056424,0.0001112737],"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":[0.00001590443,0.00003708471,0.0001290779,0.0002232675,0.000009594237,0.00013128,0.0003759937,0.0007065535,0.0004048771,0.5913599,0.3577963,0.04881016],"study_design_scores_gemma":[0.00001090594,0.00001612501,0.0001217555,0.0001685211,0.000002352266,0.0001314093,0.0001134298,0.0009231363,0.00008087265,0.2761473,0.7222714,0.00001285984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001619454,0.06398696,0.5718459,0.1172809,0.01423316,0.0003926217,0.003795318,0.002963242,0.2238824],"genre_scores_gemma":[0.03927307,0.09601227,0.5800422,0.04722485,0.01871447,0.002147628,0.002878282,0.003256722,0.2104506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02663607,"threshold_uncertainty_score":0.0891065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116225641","doi":"","title":"Improving the Reliability of Bootstrap Tests","year":2000,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Replication (statistics); Monte Carlo method; Reliability (semiconductor); Computer science; Statistical hypothesis testing; Work (physics); Statistics; Mathematics; Algorithm; Reliability engineering; Engineering","authors":[{"name":"Russell Davidson","is_ca":false},{"name":"James G. MacKinnon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06495288191596404,"gpt":0.3413530605027268,"spread":0.2764001785867627,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07726262,0.002683842,0.004269998,0.00629483,0.001499085,0.003625686,0.005090444,0.004425358,0.005662526],"category_scores_gemma":[0.5074447,0.001316931,0.00247421,0.004554263,0.003883143,0.005602933,0.006390988,0.006116015,0.004496289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090549,"about_ca_system_score_gemma":0.002193311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00197218,"about_ca_topic_score_gemma":0.001207255,"domain_scores_codex":[0.8894579,0.08352152,0.003973044,0.006927299,0.01460203,0.001518291],"domain_scores_gemma":[0.4222575,0.4639804,0.01265419,0.06286171,0.03626109,0.001985168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002452889,0.0005795402,0.03795015,0.001914254,0.001265988,0.001135168,0.001944775,0.1268129,0.01655749,0.1480033,0.01658097,0.6448025],"study_design_scores_gemma":[0.0003674081,0.0007147235,0.01082387,0.0004226971,0.0003776533,0.0008818206,0.000317498,0.6742809,0.01781797,0.2813599,0.01235217,0.0002832553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01525582,0.0008608609,0.9803428,0.0005288105,0.0002352096,0.0001330128,0.000152877,0.001052514,0.00143816],"genre_scores_gemma":[0.3619663,0.001044277,0.6304923,0.0006674553,0.001054558,0.0007476146,0.0007857022,0.001454763,0.001786991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07726262,"threshold_uncertainty_score":0.4086087,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1637759863","doi":"","title":"New interfaces between security and development : changing concepts and approaches","year":2006,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"International Development and Aid","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Deutsches Institut für Entwicklungspolitik; Department for International Development; European Commission; United Nations Development Programme; University of Oxford; Foreign and Commonwealth Office; Carleton University","keywords":"Development (topology); Computer science; Business; Mathematics","authors":[{"name":"Stephan Klingebiel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03100122249960879,"gpt":0.2680218119103996,"spread":0.2370205894107908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0214387,0.001725211,0.001909633,0.008017578,0.004105074,0.02465879,0.003571291,0.009003722,0.00761577],"category_scores_gemma":[0.01570966,0.0009852228,0.001052545,0.007227757,0.09594781,0.04876395,0.01207456,0.01501442,0.0009715179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01597632,"about_ca_system_score_gemma":0.008182149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00324763,"about_ca_topic_score_gemma":0.002850984,"domain_scores_codex":[0.985701,0.009305881,0.0005725862,0.001290906,0.002318342,0.0008112744],"domain_scores_gemma":[0.9755793,0.01751665,0.001119816,0.001807441,0.002211218,0.001765606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000560293,0.000006518445,0.00006131322,0.00004811093,0.00000353276,0.00001861455,0.001595039,0.00009758939,0.00002532216,0.992278,0.001062981,0.004797443],"study_design_scores_gemma":[0.000007581019,0.0000143145,0.0001615757,0.000329906,0.00000480565,0.00006312985,0.003455439,0.0003999032,0.00004535837,0.9290026,0.06650025,0.00001516472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02021435,0.1621552,0.1404963,0.4113738,0.005755083,0.000104795,0.0001385198,0.0002169689,0.259545],"genre_scores_gemma":[0.7426409,0.1401624,0.05744628,0.02781291,0.008878517,0.0005356292,0.0001590152,0.0004107234,0.02195362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02465879,"threshold_uncertainty_score":0.1159168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122869135","doi":"","title":"Does money lead inflation in the euro area","year":2001,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Quarter (Canadian coin); Monetary policy; Sample (material); Monetary economics; Economic indicator; Econometrics; Macroeconomics","authors":[{"name":"Sergio Nicoletti-Altimari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06030480158140008,"gpt":0.2361217043074803,"spread":0.1758169027260802,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331885,0.0002187162,0.0004204976,0.0005408138,0.0001809651,0.001843926,0.0002087051,0.0007660727,0.001544087],"category_scores_gemma":[0.009454881,0.0001262357,0.0001980665,0.0007066379,0.0003103334,0.001187159,0.0004493737,0.0006023243,0.0004213933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004210889,"about_ca_system_score_gemma":0.000190599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008993,"about_ca_topic_score_gemma":0.001880763,"domain_scores_codex":[0.999721,0.0001165111,0.00002170319,0.00005461164,0.00005257428,0.00003367945],"domain_scores_gemma":[0.9970874,0.001278603,0.001012903,0.00009356295,0.0003404155,0.0001870641],"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":[0.003470647,0.0002083139,0.8431579,0.000251085,0.0004439654,0.0009341378,0.001330896,0.05759944,0.001503924,0.02126813,0.008123314,0.06170835],"study_design_scores_gemma":[0.0001648977,0.0004247704,0.8668239,0.0001390395,0.0002253743,0.0002345203,0.001843058,0.09255724,0.001124116,0.02978789,0.006621621,0.00005362096],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9920976,0.001173768,0.0004316319,0.001175283,0.0001070428,0.000003756679,0.0002261269,0.00001871515,0.004765995],"genre_scores_gemma":[0.9993814,0.0002510566,0.00003115103,0.0000307946,0.00003898509,0.000001060087,0.00007522252,0.000003662969,0.0001867382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.004008993,"threshold_uncertainty_score":0.007971287,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124340566","doi":"","title":"Household Responses to Individual Shocks: Disability and Labor Supply","year":2009,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Economics; Human capital; Odds; British Household Panel Survey; Labour supply; Labour economics; Linkage (software); Exploit; Work (physics); Demographic economics; Logistic regression","authors":[{"name":"Giovanni Gallipoli","is_ca":false},{"name":"Laura Turner","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02468034389849458,"gpt":0.2745973226404763,"spread":0.2499169787419817,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001452659,0.0001379498,0.0004222343,0.0008194084,0.0004028071,0.001094417,0.0004351402,0.0008415286,0.002417563],"category_scores_gemma":[0.007262063,0.0001862512,0.0003730313,0.001652913,0.0005801324,0.0006701404,0.0006866555,0.000456909,0.0003182834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144213,"about_ca_system_score_gemma":0.0006337152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1603039,"about_ca_topic_score_gemma":0.1634246,"domain_scores_codex":[0.999416,0.0001684001,0.00003806389,0.0001044106,0.00008090907,0.0001922735],"domain_scores_gemma":[0.9973852,0.0008481448,0.0009159579,0.0003275543,0.0002090315,0.0003140488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005972425,0.00003805395,0.9890725,0.00001332496,0.00008132823,0.00004944406,0.0009448199,0.002172616,0.000187631,0.0006632909,0.0002498031,0.006467418],"study_design_scores_gemma":[0.000003393234,0.00002854626,0.9934925,0.000010899,0.00001792183,0.00002732586,0.001391545,0.003246059,0.00007216942,0.001237429,0.0004604353,0.0000116331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967592,0.0001537415,0.00073667,0.0003376079,0.000005168364,0.00001719385,0.001001494,0.000006178482,0.0009828205],"genre_scores_gemma":[0.9989924,0.0000782364,0.00008426272,0.0000392986,0.000002825821,0.00000538558,0.0004602858,0.000001165798,0.0003360702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1603039,"threshold_uncertainty_score":0.3187417,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2238440990","doi":"","title":"From Highly Skilled to Low Skilled: Revisiting the Deskilling of Migrant Labor","year":2013,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Deskilling; Immigration; Phenomenon; Labour economics; Political science; Preference; Demographic economics; Ethnic group; Business; Economic growth; Economics; Work (physics); Law","authors":[{"name":"Sheila Siar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01137551984159305,"gpt":0.2660262295226231,"spread":0.25465070968103,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003795407,0.0004948659,0.0004941379,0.003405131,0.006090388,0.006870724,0.001845779,0.002533941,0.001702578],"category_scores_gemma":[0.005911108,0.0003201456,0.0004826139,0.003197364,0.01829495,0.009491248,0.005583149,0.004375466,0.0002773109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006638874,"about_ca_system_score_gemma":0.007603595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04209533,"about_ca_topic_score_gemma":0.06554634,"domain_scores_codex":[0.9976705,0.001195332,0.0001411075,0.0002564974,0.0002937561,0.000442826],"domain_scores_gemma":[0.9949338,0.003135051,0.0007754309,0.0001536317,0.0006898881,0.0003121987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00004053758,0.00006923435,0.02290945,0.001270967,0.00001694027,0.00274319,0.8052026,0.0001552746,0.0005019938,0.1074465,0.004558212,0.05508509],"study_design_scores_gemma":[0.000006469657,0.0001200868,0.04380812,0.003548282,0.00002499245,0.002150066,0.79088,0.0002195732,0.0003477403,0.01998833,0.1388493,0.00005702391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.649291,0.179729,0.00219586,0.07692365,0.002083908,0.0000803186,0.0001200242,0.00002333247,0.08955304],"genre_scores_gemma":[0.9089055,0.07775846,0.0008587753,0.006327775,0.0007652466,0.00005201753,0.00005499756,0.00003060754,0.005246573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04209533,"threshold_uncertainty_score":0.0837006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1489080621","doi":"10.34989/sdp-2008-12","title":"Merchant Acceptance, Costs, and Perceptions of Retail Payments: A Canadian Survey","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Business; Reliability (semiconductor); Survey data collection; Marketing; Actuarial science; Finance; Statistics","authors":[{"name":"Carlos Arango","is_ca":true},{"name":"Varya Taylor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02358013246623487,"gpt":0.2193951330599826,"spread":0.1958150005937478,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002241365,0.0002815591,0.0002976944,0.001776895,0.003016713,0.001693959,0.0006005255,0.0005205887,0.003928367],"category_scores_gemma":[0.006826357,0.0004573253,0.0004748425,0.003578384,0.000919353,0.0007878588,0.0008109787,0.001009436,0.0005202648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01156926,"about_ca_system_score_gemma":0.01038555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9496587,"about_ca_topic_score_gemma":0.9468381,"domain_scores_codex":[0.9982797,0.0002299622,0.0001259366,0.0001232179,0.0009448461,0.0002963055],"domain_scores_gemma":[0.990971,0.001406641,0.001756054,0.0002187914,0.004301983,0.001345559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001481823,0.000313909,0.9514885,0.00009486496,0.00002460747,0.0002718436,0.02641074,0.0001700425,0.0007065135,0.0005596075,0.002281151,0.01753007],"study_design_scores_gemma":[0.000006867682,0.00008994369,0.9791812,0.00002947024,0.000008467202,0.00006276429,0.01691706,0.0004608812,0.0001316021,0.00003759863,0.003045156,0.00002895884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952838,0.00004933156,0.00007870571,0.0001906795,0.000002592353,0.00004531731,0.0006475387,0.000004391837,0.003697597],"genre_scores_gemma":[0.9958606,0.0002644987,0.0002857295,0.00009892336,0.000002858148,0.00002887952,0.0005922295,0.000005814397,0.002860413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05034131,"threshold_uncertainty_score":0.1012755,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1604890371","doi":"10.34989/swp-2007-55","title":"The Impact of Emerging Asia on Commodity Prices","year":2021,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Commodity; Economics; Inflation (cosmology); Relative price; China; Rest (music); Monetary economics; Oil price; Price shock; Agricultural economics; Macroeconomics; International economics; Market economy; Geography","authors":[{"name":"Calista Cheung","is_ca":true},{"name":"Sylvie Morin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02131716154242304,"gpt":0.251306803671886,"spread":0.2299896421294629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000497027,0.0002321167,0.0002358467,0.000484265,0.0004041161,0.002227772,0.0002312382,0.0001977442,0.003428467],"category_scores_gemma":[0.002152545,0.0001128456,0.0002982904,0.001017158,0.0005249482,0.0009737905,0.0007973718,0.0007985492,0.0002936944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002381384,"about_ca_system_score_gemma":0.003140593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3006605,"about_ca_topic_score_gemma":0.2872723,"domain_scores_codex":[0.9997392,0.0000370796,0.00001657186,0.00003513366,0.00008518354,0.00008672259],"domain_scores_gemma":[0.9986412,0.0002700065,0.0005363302,0.00006419696,0.0003521494,0.0001361372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001484118,0.00005541879,0.9382828,0.00009949387,0.0001066754,0.001125397,0.001143178,0.006382379,0.001287516,0.02297533,0.002754777,0.02563867],"study_design_scores_gemma":[0.0000111168,0.00004208179,0.9723957,0.00007507558,0.00008108136,0.0001695545,0.002243917,0.01097965,0.001141412,0.00383546,0.008998508,0.00002640636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712576,0.0008729058,0.0006104151,0.001255442,0.00002156423,0.00001152276,0.001191438,0.0000145332,0.0247647],"genre_scores_gemma":[0.9965203,0.0009480949,0.0001182582,0.00007636039,0.00001007392,0.000002504458,0.0004397291,0.000006773067,0.001877934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3006605,"threshold_uncertainty_score":0.597821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2617105768","doi":"","title":"Results-based financing : evidence from performance-based financing in the health sector","year":2013,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Deutsches Institut für Entwicklungspolitik; Danish International Development Agency; Department for International Development; World Health Organization; European Commission; Styrelsen för Internationellt Utvecklingssamarbete; United States Agency for International Development; Global Fund to Fight AIDS, Tuberculosis and Malaria; GAVI Alliance; Overseas Development Institute; McGill University; United Nations Population Fund","keywords":"Incentive; Business; Finance; Health care; Health sector; Developing country; Healthcare system; Public economics; Economics; Economic growth; Medicine; Health services","authors":[{"name":"Amanda Melina Grittner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06821900143261746,"gpt":0.2646732384140471,"spread":0.1964542369814296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07780169,0.0004135092,0.0009376107,0.002626603,0.0008820115,0.005919658,0.001641523,0.002148266,0.01205289],"category_scores_gemma":[0.2472599,0.0004139659,0.001065556,0.004423734,0.004634407,0.006223934,0.005951811,0.003165561,0.0007459497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005397451,"about_ca_system_score_gemma":0.005804994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006181321,"about_ca_topic_score_gemma":0.003172505,"domain_scores_codex":[0.9471656,0.03650151,0.002313391,0.001609118,0.008269762,0.004140696],"domain_scores_gemma":[0.636144,0.260496,0.0704089,0.01449048,0.01272415,0.005736589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003391787,0.001109079,0.2619717,0.006769383,0.0009419003,0.0003952113,0.007229439,0.006521616,0.0003022078,0.2315411,0.02577559,0.454051],"study_design_scores_gemma":[0.002110268,0.002999187,0.6586884,0.02332246,0.001463681,0.0009390422,0.006673323,0.006236838,0.002590092,0.1095651,0.1852167,0.0001948889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5709068,0.08204003,0.01872728,0.1211328,0.0007972738,0.001073286,0.004492493,0.0001740147,0.200656],"genre_scores_gemma":[0.9834079,0.009469754,0.001167936,0.003184153,0.0003646635,0.0001188353,0.000594804,0.00004042495,0.001651517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07780169,"threshold_uncertainty_score":0.4114596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2125867861","doi":"10.34989/swp-2010-5","title":"What Drives Exchange Rates? New Evidence from a Panel of U.S. Dollar Bilateral Exchange Rates","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Liberian dollar; Exchange rate; Economics; Commodity; Monetary economics; Us dollar; International economics; Effective exchange rate; Panel data; Econometrics; Finance","authors":[{"name":"Jean-Philippe Cayen","is_ca":true},{"name":"Donald Coletti","is_ca":true},{"name":"René Lalonde","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1235763103044354,"gpt":0.2698516519147948,"spread":0.1462753416103594,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001867433,0.000290121,0.0004251577,0.001268523,0.0003088279,0.001691939,0.0002975604,0.0005037887,0.00339232],"category_scores_gemma":[0.007751714,0.0002190856,0.0003254523,0.003455613,0.0002931587,0.001077975,0.0006589282,0.0007675656,0.0007092002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002920815,"about_ca_system_score_gemma":0.0002602075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01272567,"about_ca_topic_score_gemma":0.01745678,"domain_scores_codex":[0.9993972,0.0002624259,0.00007957369,0.0001240131,0.00008066855,0.00005620037],"domain_scores_gemma":[0.992665,0.002708417,0.002864449,0.0006792071,0.0006815949,0.0004013288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002794579,0.00009172473,0.9637308,0.0001319351,0.0004673981,0.0002291213,0.001018808,0.002342486,0.0009911761,0.002029653,0.003185093,0.02550232],"study_design_scores_gemma":[0.00003896166,0.00005330142,0.9900144,0.00006480856,0.0001783177,0.00007402944,0.0008919506,0.001925682,0.0003377913,0.001271205,0.005127286,0.00002215531],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896861,0.001236674,0.000642082,0.001006609,0.00003479688,0.000007239595,0.003038935,0.00001505203,0.004332599],"genre_scores_gemma":[0.993265,0.001018195,0.0002920676,0.000127989,0.00004457105,0.000006178727,0.004730397,0.000008929108,0.0005066916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01272567,"threshold_uncertainty_score":0.02530324,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1560553761","doi":"","title":"Trust in Banks - Evidence from normal times and from times of crises","year":2010,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":32,"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); Intermediation; Business; Monetary economics; Point (geometry); Financial system; Blind trust; Economics; Finance; Political science; Public relations; Geography","authors":[{"name":"Markus Knell","is_ca":false},{"name":"Helmut Stix","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02456790090077367,"gpt":0.2371406524874698,"spread":0.2125727515866961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003636828,0.0001349912,0.0003953358,0.002309363,0.0006288967,0.00210004,0.0004258139,0.0009891504,0.003501031],"category_scores_gemma":[0.03298759,0.0002260924,0.0002804518,0.003307362,0.001402327,0.002470324,0.001848389,0.00101352,0.0008440837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007375709,"about_ca_system_score_gemma":0.0004186496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066342,"about_ca_topic_score_gemma":0.008337675,"domain_scores_codex":[0.9972706,0.001112057,0.0003736743,0.0003009076,0.0005692726,0.0003735485],"domain_scores_gemma":[0.921624,0.02506405,0.03742654,0.004638686,0.006920903,0.004325793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006889565,0.0001133691,0.9727026,0.0001385351,0.0001626629,0.0002640274,0.004995322,0.0004159651,0.0001353788,0.001816805,0.003833523,0.01473277],"study_design_scores_gemma":[0.00002609691,0.0001249591,0.988252,0.0001176626,0.00005982428,0.0002856456,0.005797028,0.0008228998,0.0001713425,0.001033656,0.003286389,0.00002252339],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932613,0.001124735,0.0001839727,0.001246874,0.00001608241,0.000006273862,0.0007812305,0.000004010916,0.003375468],"genre_scores_gemma":[0.9988202,0.0004637383,0.00002829202,0.00006244295,0.0000219661,0.000003396751,0.0004190283,0.000002803631,0.0001781031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066342,"threshold_uncertainty_score":0.02120268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153054921","doi":"10.34989/swp-2012-5","title":"An International Dynamic Term Structure Model with Economic Restrictions and Unspanned Risks","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Economics; Term (time); Humanities; Philosophy; Physics","authors":[{"name":"Gregory H. Bauer","is_ca":true},{"name":"Antonio Diez de los Rı́os","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04363081899400419,"gpt":0.2593275722925596,"spread":0.2156967532985554,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087881,0.0007769127,0.0009435784,0.0006239705,0.0004113341,0.00250393,0.001581017,0.001873956,0.006385156],"category_scores_gemma":[0.001793229,0.0005692163,0.001080441,0.00122468,0.0009987416,0.002655049,0.001229011,0.001988828,0.001174265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028483,"about_ca_system_score_gemma":0.001055349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007489812,"about_ca_topic_score_gemma":0.003916819,"domain_scores_codex":[0.9995562,0.0001392685,0.00002322995,0.000142126,0.00007170198,0.00006740436],"domain_scores_gemma":[0.9991916,0.0002432308,0.0002498458,0.00009066387,0.0001104411,0.0001142355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005102846,0.00004103632,0.0008495001,0.00003150748,0.00004110589,0.0002157804,0.00009187217,0.5026016,0.0007150864,0.4891576,0.001846397,0.004357345],"study_design_scores_gemma":[0.00006535227,0.00006470606,0.0005108671,0.00001782967,0.00003633602,0.0001117055,0.00003610176,0.8500847,0.0001544402,0.1433281,0.005559883,0.0000299462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2115044,0.001318284,0.7162524,0.004325575,0.0002558147,0.00008366309,0.002681916,0.0004332901,0.06314468],"genre_scores_gemma":[0.9117892,0.001438191,0.03629616,0.0003257895,0.0002139234,0.000244848,0.001623531,0.0001489069,0.0479194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007489812,"threshold_uncertainty_score":0.02136046,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911426196","doi":"10.34989/sdp-2018-17","title":"2017 Methods-of-Payment Survey Report","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Cash; Business; Mobile payment; Actuarial science; Value (mathematics); Finance; Statistics; Mathematics","authors":[{"name":"Christopher S. Henry","is_ca":true},{"name":"Kim P. Huynh","is_ca":true},{"name":"Angelika Welte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04616250542676692,"gpt":0.3083126230610278,"spread":0.2621501176342609,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0150418,0.0009175293,0.0009560306,0.005276707,0.003491029,0.003153645,0.00215895,0.001042237,0.1375836],"category_scores_gemma":[0.03981809,0.0008417111,0.0009201492,0.006998492,0.0006975915,0.001367503,0.001921154,0.002136202,0.05592337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02402354,"about_ca_system_score_gemma":0.1130291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7982819,"about_ca_topic_score_gemma":0.8123006,"domain_scores_codex":[0.9791121,0.003206497,0.002185536,0.001777799,0.01070986,0.003008172],"domain_scores_gemma":[0.9335071,0.003486719,0.002067743,0.004012908,0.05405005,0.002875474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002086439,0.0001966182,0.01999593,0.0004434894,0.00003909658,0.0000604478,0.0009486391,0.0002701703,0.0002444709,0.005662012,0.931935,0.03999544],"study_design_scores_gemma":[0.0001108639,0.00005168003,0.06130437,0.0003340042,0.0000243405,0.00003738828,0.001095604,0.0003356201,0.0002987375,0.0008923159,0.9354585,0.00005660276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009683534,0.0003974097,0.006046361,0.003279151,0.001010656,0.02715677,0.8639945,0.0008554682,0.08757611],"genre_scores_gemma":[0.05246099,0.001907418,0.02832242,0.004299217,0.0005650077,0.09773263,0.6659508,0.001178053,0.1475834],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7982819,"threshold_uncertainty_score":0.4602631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123256249","doi":"","title":"What makes a revolution","year":2001,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Inequality; Economic inequality; Economics; Quarter (Canadian coin); Property rights; Panel data; Cornerstone; Demographic economics; Econometrics; Microeconomics; Geography; Mathematics","authors":[{"name":"Robert MacCulloch","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03076014872405418,"gpt":0.2258408956807537,"spread":0.1950807469566995,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00252783,0.0006408292,0.0005437474,0.0008989773,0.007024297,0.01036614,0.0008623078,0.00340055,0.05844637],"category_scores_gemma":[0.00634706,0.0002548783,0.0005601317,0.0008766314,0.009197227,0.009151301,0.004997402,0.004694075,0.01895713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002513145,"about_ca_system_score_gemma":0.00350214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309608,"about_ca_topic_score_gemma":0.005032299,"domain_scores_codex":[0.9961168,0.001035743,0.0000974428,0.0007499664,0.001016255,0.0009838651],"domain_scores_gemma":[0.997867,0.0003337936,0.0001872728,0.0006580955,0.0003263546,0.0006273994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007655483,0.0000689212,0.001416627,0.0002369696,0.00003387298,0.0004270606,0.005477279,0.0001196737,0.0004121464,0.5338501,0.3759516,0.08192922],"study_design_scores_gemma":[0.000006738951,0.00002260876,0.0007807616,0.0001518831,0.000006601628,0.0001229126,0.001992073,0.00001870287,0.0001033255,0.03952379,0.95726,0.00001058671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01050801,0.01111756,0.001403707,0.137507,0.01598121,0.00003950733,0.000375298,0.0002432003,0.8228244],"genre_scores_gemma":[0.3969032,0.01717738,0.002934576,0.1159308,0.01194786,0.0001250182,0.0007292641,0.0006641627,0.4535878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05844637,"threshold_uncertainty_score":0.1955225,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2939952354","doi":"","title":"Betriebe und Geflüchtete: 36 Interviews in Betrieben im vierten Quartal 2016","year":2018,"lang":"de","type":"article","venue":"Econstor (Econstor)","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"German; Refugee; Obstacle; Business; Perspective (graphical); Quarter (Canadian coin); Market integration; Relevance (law); Work (physics); Public relations; Political science; Psychology; Sociology; Geography; Economics; Engineering; Law","authors":[{"name":"Ulrike Büschel","is_ca":false},{"name":"Christine Hense","is_ca":false},{"name":"Volker Daumann","is_ca":false},{"name":"Elke Dony","is_ca":false},{"name":"Alexander Kubis","is_ca":false},{"name":"Martina Rebien","is_ca":false},{"name":"Stefan Stöhr","is_ca":false},{"name":"Alfons Voit","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02695774722299666,"gpt":0.2957324206698161,"spread":0.2687746734468194,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00841731,0.0005421596,0.0006804448,0.001782868,0.006216162,0.003705519,0.0009217585,0.00197554,0.008806821],"category_scores_gemma":[0.01492896,0.0010315,0.0003750364,0.001659803,0.002980158,0.002221281,0.004836283,0.003132156,0.002114515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006650642,"about_ca_system_score_gemma":0.005180177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02239541,"about_ca_topic_score_gemma":0.05870821,"domain_scores_codex":[0.9934213,0.003586149,0.0004430757,0.000420851,0.0007664562,0.001362261],"domain_scores_gemma":[0.990105,0.00458641,0.001150239,0.0002194006,0.001923243,0.00201566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001054167,0.0001434681,0.01455956,0.0002936826,0.000006611369,0.0009859708,0.9631205,0.00006443947,0.001571452,0.000555646,0.003823565,0.0147697],"study_design_scores_gemma":[0.000005284069,0.0001081832,0.01624535,0.0004070964,0.000003334385,0.0001190635,0.9576006,0.00004534666,0.0003658004,0.0001438119,0.02493427,0.00002178958],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839288,0.001771374,0.001240835,0.003285927,0.0001986332,0.0007217407,0.0006335665,0.00002222236,0.008197071],"genre_scores_gemma":[0.9697673,0.00351189,0.002100834,0.002646096,0.00007142667,0.001996814,0.0006930441,0.00008016323,0.01913255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02239541,"threshold_uncertainty_score":0.04825401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122306080","doi":"","title":"Irregular Migration from Cambodia: Characteristics, Challenges, and Regulatory Approach","year":2013,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Cambodian History and Society","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Irregular migration; Context (archaeology); Government (linguistics); Psychological intervention; Human migration; Business; Political science; Economic growth; Development economics; Economics; Population; Geography; Economic geography; Medicine; Environmental health","authors":[{"name":"Vutha Hing","is_ca":false},{"name":"Lun Pide","is_ca":false},{"name":"Phann Dalis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01860017413769335,"gpt":0.2184713913322324,"spread":0.199871217194539,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330283,0.0001987498,0.0001778034,0.000966973,0.003314114,0.001957678,0.0009487533,0.0007063504,0.002774899],"category_scores_gemma":[0.004241628,0.0002493637,0.0001474218,0.00176654,0.002343212,0.001171922,0.002464293,0.0009875929,0.0002020934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346838,"about_ca_system_score_gemma":0.004112422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03432002,"about_ca_topic_score_gemma":0.05385221,"domain_scores_codex":[0.9987566,0.0003994279,0.00009428733,0.0001146012,0.0001856855,0.0004492619],"domain_scores_gemma":[0.9978111,0.0005306831,0.0009338933,0.0001110587,0.0002628383,0.000350392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008234046,0.0001023764,0.7697795,0.0005460857,0.00002237423,0.009130487,0.15947,0.0004709329,0.002031576,0.007821082,0.002305542,0.04823779],"study_design_scores_gemma":[0.000003644017,0.00007938567,0.6260258,0.0006358706,0.000009155871,0.003506893,0.3478095,0.0003833684,0.0002656997,0.0009797952,0.02026742,0.00003343711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876303,0.0006389637,0.0002144064,0.002272326,0.0000250763,0.00008844755,0.00007383884,0.000005293095,0.009051334],"genre_scores_gemma":[0.9972456,0.0007478777,0.0002039567,0.0002129086,0.00001037947,0.00005984753,0.00007909282,0.000003113752,0.00143732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03432002,"threshold_uncertainty_score":0.06824052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023275733","doi":"","title":"Bootstrap Score Tests for Fractional Integration in Heteroskedastic ARFIMA Models, with an Application to Price Dynamics in Commodity Spot and Futures Markets","year":2013,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Danmarks Frie Forskningsfond; Danmarks Grundforskningsfond","keywords":"Heteroscedasticity; Econometrics; Futures contract; Autoregressive fractionally integrated moving average; Null hypothesis; Volatility (finance); Economics; Spot contract; Monte Carlo method; Statistical hypothesis testing; Mathematics; Statistics; Long memory; Financial economics","authors":[{"name":"Giuseppe Cavaliere","is_ca":false},{"name":"Robert Taylor","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02468680475465404,"gpt":0.2391044647880705,"spread":0.2144176600334165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01089459,0.0006316316,0.001161633,0.002150549,0.0005014187,0.001173175,0.001582838,0.0009903183,0.002676485],"category_scores_gemma":[0.05430934,0.0004467591,0.0009393065,0.001635271,0.001832288,0.001833659,0.001615701,0.001304328,0.0003861643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005492996,"about_ca_system_score_gemma":0.001118194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006324445,"about_ca_topic_score_gemma":0.0008379906,"domain_scores_codex":[0.9960973,0.002593484,0.0001373745,0.0002699172,0.0007544452,0.0001474685],"domain_scores_gemma":[0.9772585,0.0174765,0.00188852,0.001622213,0.001374962,0.0003793469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004171394,0.0003151848,0.02390335,0.0001917734,0.0002914264,0.0007003,0.0003335949,0.297444,0.005907548,0.3651782,0.002438138,0.3028793],"study_design_scores_gemma":[0.00004524888,0.0001602396,0.003436936,0.00002639488,0.00002140909,0.0001153788,0.00005069205,0.8350363,0.001563213,0.1585831,0.0009210279,0.00004005408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05498484,0.0002070021,0.9430934,0.0001974177,0.0000326132,0.00004773833,0.00006736474,0.000333933,0.001035809],"genre_scores_gemma":[0.6763291,0.0003016436,0.3211592,0.0001070673,0.0001266208,0.0002587682,0.0003552637,0.0001326668,0.0012297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01089459,"threshold_uncertainty_score":0.05761677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2315903984","doi":"10.34989/sdp-2016-4","title":"Limits to Arbitrage and Deviations from Covered Interest Rate Parity","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Interest rate parity; Arbitrage; Economics; Covered interest arbitrage; Currency; Exchange rate; Volatility (finance); Parity (physics); Monetary economics; Interest rate; International Fisher effect; Econometrics; Large deviations theory; Financial economics; Statistics; Mathematics; Physics; Real interest rate; Fisher hypothesis","authors":[{"name":"James Pinnington","is_ca":true},{"name":"Maral Shamloo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03788227106383352,"gpt":0.2425010430793718,"spread":0.2046187720155382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833362,0.0001400887,0.0003849957,0.0009786908,0.0003026674,0.002177556,0.0004058718,0.0007949804,0.003196976],"category_scores_gemma":[0.02105318,0.0001567744,0.0002305155,0.0008190711,0.001184211,0.001417708,0.001122621,0.001203115,0.0004952477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281024,"about_ca_system_score_gemma":0.0003337096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001708524,"about_ca_topic_score_gemma":0.0008336667,"domain_scores_codex":[0.99857,0.0002735131,0.0001584932,0.0002815193,0.0004914584,0.0002249726],"domain_scores_gemma":[0.9823567,0.007237062,0.007344236,0.001250433,0.001280933,0.0005306744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001543482,0.0001845378,0.6855711,0.0003367731,0.0002232163,0.002898976,0.004455917,0.0272191,0.02304103,0.1492209,0.009630827,0.09567407],"study_design_scores_gemma":[0.00007104394,0.0002414385,0.8232822,0.0002100845,0.00006581007,0.002753807,0.001419658,0.03918592,0.007630751,0.103858,0.02114698,0.0001344109],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846874,0.0009011244,0.003551833,0.0009514866,0.00002643649,0.000006340903,0.0004079055,0.00007203686,0.009395566],"genre_scores_gemma":[0.9992332,0.0000938603,0.0001611522,0.00002741057,0.00001510116,0.000003433025,0.0001843523,0.000008744501,0.0002726373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003196976,"threshold_uncertainty_score":0.01069498,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1602897129","doi":"","title":"Determinants of AFTA Members’ Trade Flows and Potential for Trade Diversion","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"International Development Research Centre","keywords":"Trade diversion; Trade creation; International trade; International free trade agreement; Business; Economic integration; Gravity model of trade; Trade barrier; International economics; Economics; Economic geography","authors":[{"name":"Indira M. Hapsari","is_ca":false},{"name":"Carlos Mangunsong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03087002936763307,"gpt":0.2165600419139114,"spread":0.1856900125462783,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007393439,0.0001767802,0.0003233936,0.001445097,0.0008745739,0.001852392,0.0002144252,0.0003686568,0.006883741],"category_scores_gemma":[0.003531764,0.0000924407,0.0003283012,0.002116917,0.000477935,0.0009086239,0.000883207,0.0007449296,0.0008909272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961145,"about_ca_system_score_gemma":0.0003568488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004446302,"about_ca_topic_score_gemma":0.004849079,"domain_scores_codex":[0.9996291,0.00008152037,0.00002545178,0.00004937284,0.00007514042,0.0001392885],"domain_scores_gemma":[0.9955856,0.001169281,0.001878718,0.0002353475,0.0004577525,0.00067322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001612084,0.00008327472,0.9701122,0.00003760627,0.0001171418,0.0003671708,0.00107615,0.00169463,0.001000648,0.00399152,0.0008510198,0.02050732],"study_design_scores_gemma":[0.00001346755,0.00007122658,0.982717,0.00003485244,0.00007026537,0.0006500297,0.004004259,0.002092995,0.0005471372,0.003325525,0.006458905,0.00001438781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908454,0.0002476871,0.0004003621,0.0002609265,0.000007685653,0.000009976584,0.000286657,0.000009333173,0.007932149],"genre_scores_gemma":[0.9980481,0.0002059864,0.0001549767,0.00001663537,0.00002702067,0.00000471437,0.0002653118,0.000002940728,0.001274301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006883741,"threshold_uncertainty_score":0.02302843,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124142868","doi":"","title":"WORKING WOMEN, MEN'S HOME TIME AND LOWEST-LOW FERTILITY","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Fertility; Externality; Economics; Demographic economics; Negative correlation; Positive correlation; Labour economics; Time-use survey; Demography; Sociology; Population; Medicine; Microeconomics","authors":[{"name":"Joost de Laat","is_ca":true},{"name":"Almudena Sevilla Sanz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01399294693194401,"gpt":0.2411889396493168,"spread":0.2271959927173728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000628365,0.0001414725,0.0002385258,0.0005886699,0.0004390558,0.0009440954,0.0001982377,0.0004177633,0.005353799],"category_scores_gemma":[0.002063197,0.0001535013,0.0003308424,0.0009106254,0.0006188815,0.0004544796,0.0005746782,0.0003280719,0.0002398256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000389704,"about_ca_system_score_gemma":0.0003804186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128338,"about_ca_topic_score_gemma":0.0162157,"domain_scores_codex":[0.9998388,0.00005639302,0.000005641494,0.00002691928,0.00001458191,0.00005765414],"domain_scores_gemma":[0.998628,0.0004592199,0.0005417144,0.00006166653,0.00003236617,0.0002770265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001005691,0.00005622633,0.9838749,0.00002288192,0.00008235678,0.0002407014,0.0009168184,0.00143264,0.0001772336,0.005175438,0.0006607514,0.007259413],"study_design_scores_gemma":[0.00001849151,0.00006627547,0.9905757,0.00003001427,0.00005141391,0.000181646,0.002452684,0.001787665,0.0001025216,0.003546942,0.001178808,0.000007825936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974501,0.0002776558,0.0001404772,0.0003809534,0.000004037207,0.000001775332,0.0001359901,0.00000304054,0.001606062],"genre_scores_gemma":[0.9992298,0.000157548,0.00004453184,0.00002200751,0.000005944655,0.000001963486,0.00006872859,9.95296e-7,0.0004684736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128338,"threshold_uncertainty_score":0.02551818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2612030455","doi":"","title":"Educational Attainment and Family Gaps in Women's Wages: Evidence from Five Industrialized Countries","year":2001,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Educational attainment; Developed country; Wage; Demographic economics; Developing country; Economics; Labour economics; Shock (circulatory); Population; Economic growth; Sociology; Demography; Medicine","authors":[{"name":"Erin Todd","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03076072594607345,"gpt":0.2943320891776556,"spread":0.2635713632315822,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666196,0.0002776093,0.0005217333,0.003034221,0.0008774904,0.0009276655,0.0004484548,0.0003636294,0.002124775],"category_scores_gemma":[0.003759787,0.0002339783,0.0004716536,0.005039448,0.001008141,0.0005392516,0.001628801,0.0003814837,0.0002499817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005619542,"about_ca_system_score_gemma":0.0004419515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05338737,"about_ca_topic_score_gemma":0.0709765,"domain_scores_codex":[0.999035,0.0003356817,0.00006299385,0.0001452562,0.0001222174,0.0002988877],"domain_scores_gemma":[0.9953772,0.001356355,0.002187504,0.0002826504,0.0003899142,0.0004064193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000114373,0.00004445828,0.9908038,0.00004792909,0.00009717972,0.0001700276,0.002468307,0.0001205127,0.0000559007,0.0004035493,0.0003077927,0.005366199],"study_design_scores_gemma":[0.000009133251,0.00004426586,0.9973317,0.00003289973,0.00003044368,0.00004306616,0.001760831,0.00003326939,0.00003910795,0.00005349905,0.0006185991,0.000003182085],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971101,0.0009192914,0.00005634816,0.0001157577,0.000004478306,0.000006482352,0.0004676358,0.000002007285,0.001317925],"genre_scores_gemma":[0.9984599,0.0004844473,0.00003935557,0.00004027599,0.000005807455,0.00000634093,0.000764793,0.000001228866,0.0001978797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05338737,"threshold_uncertainty_score":0.1061532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1954915932","doi":"","title":"Educational Inequality in China: The Intergenerational Dimension","year":2011,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Intergenerational and Educational Inequality Studies","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inequality; China; Dimension (graph theory); Economics; Demographic economics; Development economics; Political science; Mathematics","authors":[{"name":"John Knight","is_ca":false},{"name":"Terry Sicular","is_ca":false},{"name":"Ximing Yue","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05978422297839899,"gpt":0.3349974176586019,"spread":0.2752131946802029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004303492,0.0002507405,0.0002602304,0.001746665,0.0009124346,0.001192519,0.0002803098,0.0003186448,0.003590024],"category_scores_gemma":[0.000692516,0.0001067131,0.0002082511,0.004257517,0.0007440276,0.0009497979,0.001071952,0.0004538956,0.0001097602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002653192,"about_ca_system_score_gemma":0.003110966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1086341,"about_ca_topic_score_gemma":0.1736227,"domain_scores_codex":[0.9998044,0.0000256817,0.00001088104,0.00003131786,0.00005714489,0.00007062289],"domain_scores_gemma":[0.9997458,0.00005948936,0.00005126704,0.00002893874,0.00005696503,0.00005756934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00008847062,0.00009102028,0.2752823,0.0009221171,0.0001445914,0.0008374919,0.01514366,0.002887876,0.001392256,0.2596005,0.06223399,0.3813757],"study_design_scores_gemma":[0.000005920742,0.00003340462,0.9349351,0.0002311774,0.00004554163,0.00007339144,0.002116693,0.001478312,0.0003345354,0.01896701,0.04175453,0.00002438277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8288264,0.0669978,0.001902675,0.03197618,0.0006849552,0.00005510488,0.002155401,0.00005932574,0.06734221],"genre_scores_gemma":[0.9793952,0.01318554,0.0002848046,0.0003171854,0.000287969,0.00001686707,0.0004404169,0.000007271693,0.006064705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086341,"threshold_uncertainty_score":0.2160037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1528458276","doi":"10.34989/swp-2007-8","title":"Evaluating Forecasts from Factor Models for Canadian GDP Growth and Core Inflation","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Humanities; Economics; Inflation (cosmology); Philosophy; Physics","authors":[{"name":"Calista Cheung","is_ca":true},{"name":"Frédérick Demers","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1726469417346582,"gpt":0.280503952779714,"spread":0.1078570110450557,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003391474,0.001036054,0.0005964556,0.0008625955,0.0005561535,0.001407375,0.0007477432,0.000732242,0.001145613],"category_scores_gemma":[0.01383119,0.0004065502,0.0005463387,0.001058023,0.0004243469,0.0007959548,0.0004647745,0.0007349805,0.000223734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005755524,"about_ca_system_score_gemma":0.006468562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8045326,"about_ca_topic_score_gemma":0.6420472,"domain_scores_codex":[0.9992637,0.0002472625,0.00003722032,0.0001316147,0.0001952981,0.0001249495],"domain_scores_gemma":[0.9956961,0.002685122,0.0002679707,0.0002013543,0.0009718364,0.0001775196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003414373,0.00002997457,0.01197927,0.000057973,0.00008917387,0.00003835591,0.00007740292,0.9643688,0.0005356279,0.001918959,0.001297561,0.01926546],"study_design_scores_gemma":[0.00002030915,0.00002576316,0.004932934,0.000008138406,0.00002063862,0.000005800901,0.00004367587,0.9935045,0.0004848825,0.0006071483,0.0003283457,0.00001785019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9624218,0.0007884375,0.02949127,0.000586643,0.00008927758,0.00005019843,0.00193506,0.000749042,0.003888323],"genre_scores_gemma":[0.9911231,0.0002627932,0.006291324,0.00002576883,0.0000203596,0.00001138677,0.001647844,0.00003407382,0.000583412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954674,"threshold_uncertainty_score":0.3932371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1585405044","doi":"","title":"Top Incomes in Sweden over the Twentieth Century","year":2005,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Income shares; Economics; Earnings; Labour economics; Wage share; Wage; Capital (architecture); Welfare state; Economic inequality; Welfare; Demographic economics; Inequality; Market economy; Geography; Finance; Efficiency wage","authors":[{"name":"Jesper Roine","is_ca":false},{"name":"Daniel Waldenström","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01088111755505843,"gpt":0.230340419929148,"spread":0.2194593023740896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002411509,0.0002001346,0.000265878,0.002616071,0.0004487289,0.001512278,0.0002131861,0.0003259,0.002306477],"category_scores_gemma":[0.0007712488,0.00009467977,0.0002715108,0.003033092,0.0003014156,0.0006338974,0.001010671,0.0004325849,0.001267168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007117012,"about_ca_system_score_gemma":0.0005766246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02205674,"about_ca_topic_score_gemma":0.02909783,"domain_scores_codex":[0.9997007,0.0000173371,0.00002758376,0.0000515186,0.00006604114,0.0001369155],"domain_scores_gemma":[0.9995254,0.00005041088,0.0002052836,0.00001980201,0.0001170161,0.00008204857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438159,0.0000620613,0.8010211,0.0004514059,0.0001439583,0.001394767,0.01134589,0.001207832,0.0007863421,0.005125141,0.02723067,0.150887],"study_design_scores_gemma":[0.000005342354,0.0000370384,0.9293977,0.0001891636,0.00002522648,0.0006745008,0.003947874,0.0001351247,0.0003883237,0.000405476,0.06477728,0.00001690323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739826,0.00390771,0.0001340451,0.0007435306,0.00009470314,0.000004847462,0.006906817,0.00005540964,0.01417027],"genre_scores_gemma":[0.9813008,0.003881677,0.0001735257,0.00008937826,0.0000699255,0.00001114144,0.006453052,0.00002479073,0.007995539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02205674,"threshold_uncertainty_score":0.04385668,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116728377","doi":"10.34989/sdp-2012-6","title":"The Bank of Canada’s 2009 Methods-of-Payment Survey: Methodology and Key Results","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada","funders":"","keywords":"Payment; Survey methodology; Business; Key (lock); Payment service provider; Population; Actuarial science; Finance; Computer science; Statistics; Medicine; Computer security; Environmental health","authors":[{"name":"Carlos Arango","is_ca":true},{"name":"Angelika Welte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05854066106456348,"gpt":0.273263734053095,"spread":0.2147230729885315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02204676,0.0009511151,0.0009930085,0.005165241,0.005617886,0.00420829,0.001966269,0.001078744,0.01545963],"category_scores_gemma":[0.0393909,0.0009284755,0.0008188792,0.01374222,0.001467993,0.0009130961,0.001895012,0.001275634,0.005175901],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06784876,"about_ca_system_score_gemma":0.1923173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9738414,"about_ca_topic_score_gemma":0.9637424,"domain_scores_codex":[0.9680914,0.006379158,0.001832893,0.002137629,0.01760232,0.003956587],"domain_scores_gemma":[0.9513468,0.004732135,0.002031814,0.00210125,0.03786235,0.001925575],"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":[0.0009507323,0.0005595899,0.1747354,0.003123249,0.0001545463,0.0001578313,0.005968083,0.002904,0.002681568,0.02560772,0.4374379,0.3457194],"study_design_scores_gemma":[0.0002027125,0.00019222,0.4487396,0.001316465,0.0001815349,0.00009697476,0.005617326,0.002379392,0.004291273,0.002749532,0.5339764,0.0002566542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.1269296,0.006501766,0.08677857,0.01789816,0.001535687,0.07353609,0.4854788,0.00210211,0.1992393],"genre_scores_gemma":[0.3404308,0.00906041,0.2919142,0.007148953,0.0005172939,0.07080746,0.1429285,0.001492341,0.1357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9321513,"threshold_uncertainty_score":0.4922795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W27859148","doi":"10.34989/sdp-2013-3","title":"Sovereign Default and State-Contingent Debt","year":2021,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Restructuring; Debt restructuring; Financial system; Debt; Debt crisis; Internal debt; Debt levels and flows; Sovereignty; Economics; External debt; Debt-to-GDP ratio; Economic policy; International economics; Sovereign debt; Political science; Finance; Law","authors":[{"name":"Martin Brooke","is_ca":false},{"name":"Rhys R. Mendes","is_ca":true},{"name":"Alex Pienkowski","is_ca":false},{"name":"Eric Santor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01668527947983689,"gpt":0.2159600515242531,"spread":0.1992747720444162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454043,0.0002173852,0.000485286,0.0007119872,0.0006766414,0.003154258,0.0003784975,0.001557486,0.007328101],"category_scores_gemma":[0.007875581,0.0002559127,0.0003965644,0.001456103,0.002734953,0.003650695,0.001417251,0.003071014,0.0003952213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421284,"about_ca_system_score_gemma":0.001219125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007918529,"about_ca_topic_score_gemma":0.006388856,"domain_scores_codex":[0.9995142,0.0002418339,0.0000247124,0.00006485776,0.00005788888,0.00009656592],"domain_scores_gemma":[0.9958113,0.002642668,0.000725181,0.0002593655,0.0002397051,0.0003217591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005612886,0.00006235013,0.008487854,0.00008048457,0.00001838118,0.0002470195,0.000276307,0.008625299,0.0000951527,0.9619295,0.008473491,0.0116481],"study_design_scores_gemma":[0.0000257291,0.0000282362,0.009988984,0.0001147052,0.00001495254,0.000135472,0.0003115754,0.01714874,0.00006011729,0.9608852,0.01126707,0.00001904299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5025935,0.05672876,0.03032001,0.08544969,0.000824592,0.00007491391,0.001255938,0.0001960198,0.3225566],"genre_scores_gemma":[0.9768663,0.009797014,0.0005269122,0.000416325,0.0002909008,0.00002108234,0.0001525946,0.000009769084,0.011919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007918529,"threshold_uncertainty_score":0.02451491,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1591701027","doi":"10.34989/swp-2010-29","title":"Understanding Systemic Risk: The Trade-Offs between Capital, Short-Term Funding and Liquid Asset Holdings","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Systemic risk; Term (time); Asset (computer security); Business; Economics; Finance; Financial system; Monetary economics; Macroeconomics; Computer science; Financial crisis","authors":[{"name":"Céline Gauthier","is_ca":true},{"name":"Zhongfang He","is_ca":true},{"name":"Moez Souissi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06966183261536231,"gpt":0.2520643785984925,"spread":0.1824025459831302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001580506,0.0006176517,0.0005400548,0.0006816199,0.0002415974,0.002169284,0.0006012242,0.001536636,0.003108516],"category_scores_gemma":[0.004069171,0.0002368709,0.0006093505,0.0005603707,0.001168043,0.003118984,0.001157999,0.001066931,0.0001780292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072003,"about_ca_system_score_gemma":0.0007749858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486113,"about_ca_topic_score_gemma":0.0008623415,"domain_scores_codex":[0.9996251,0.0001295009,0.00002183797,0.00007854695,0.00007796365,0.00006716247],"domain_scores_gemma":[0.998097,0.0007804309,0.0007519451,0.0001324745,0.0001082678,0.0001298619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001412739,0.0001116687,0.01885798,0.0001250757,0.0001113435,0.0002952564,0.0003706589,0.5008594,0.008139012,0.4475103,0.001545582,0.02193245],"study_design_scores_gemma":[0.00005381045,0.000271676,0.01863027,0.00008843392,0.0000742769,0.0001858093,0.0002065648,0.4079506,0.002394651,0.5665669,0.00350885,0.00006799521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6104727,0.002206716,0.355464,0.004625014,0.00006128619,0.00007991725,0.0004862628,0.0001614665,0.02644256],"genre_scores_gemma":[0.9882538,0.000543594,0.008957547,0.0001012866,0.00004551734,0.00003160869,0.00005314386,0.0000106744,0.002002756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003108516,"threshold_uncertainty_score":0.01039904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1572710863","doi":"10.34989/swp-2008-5","title":"Unsecured Debt, Consumer Bankruptcy, and Small Business","year":2021,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Bankruptcy; Political science; Debt; Business; Finance; Law","authors":[{"name":"Césaire Meh","is_ca":true},{"name":"Yaz Terajima","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02336122773042406,"gpt":0.2198750647033252,"spread":0.1965138369729012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001367947,0.0005034433,0.0008091928,0.0005494939,0.0003900035,0.002300514,0.0007602109,0.001810724,0.004818212],"category_scores_gemma":[0.004584454,0.0003837468,0.0006959195,0.0006181335,0.001795549,0.002159574,0.0006085281,0.001607727,0.0004135206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001781184,"about_ca_system_score_gemma":0.001009595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005818238,"about_ca_topic_score_gemma":0.004216252,"domain_scores_codex":[0.9994849,0.0002209451,0.00001925403,0.000088925,0.00006289949,0.0001230257],"domain_scores_gemma":[0.9944992,0.003173415,0.001690214,0.0001911219,0.0001530935,0.0002929724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003007768,0.0004796811,0.03380671,0.0001651641,0.00009959143,0.0006261294,0.0003275614,0.3639984,0.001609498,0.5811689,0.003054931,0.01436275],"study_design_scores_gemma":[0.0001704204,0.0002562515,0.02042291,0.0001143637,0.00007799106,0.000391083,0.0002593444,0.5245939,0.0007303967,0.4479689,0.00494981,0.00006456159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8229157,0.002883341,0.1300126,0.006119949,0.00007583714,0.0001234869,0.000673926,0.0001372594,0.03705797],"genre_scores_gemma":[0.9884127,0.001065022,0.002181331,0.0001749307,0.00004448773,0.00005403393,0.0001226282,0.00001014079,0.007934631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005818238,"threshold_uncertainty_score":0.01611847,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}