{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":93,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":93,"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":"9cd7b43b9bb5","filters":{"venue":"Journal of money credit and banking"}},"results":[{"id":"W2108860390","doi":"10.1353/mcb.2006.0056","title":"Is the Exchange Rate a Shock Absorber or a Source of Shocks? New Empirical Evidence","year":2006,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":183,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Shock (circulatory); Exchange rate; Vector autoregression; Structural vector autoregression; Sign (mathematics); Econometrics; Economics; Identification (biology); Contrast (vision); Autoregressive model; Monetary economics; Computer science; Mathematics; Monetary policy; Geography","authors":[{"name":"Katie Farrant","is_ca":false},{"name":"Gert Peersman","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1653349233262437,"gpt":0.2836431729102797,"spread":0.118308249584036,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004212292,0.0005262142,0.001003093,0.002019396,0.0004594206,0.003977091,0.001125582,0.001595181,0.009446511],"category_scores_gemma":[0.02481752,0.000380018,0.0004552662,0.002712416,0.001942931,0.005839887,0.00123784,0.00296919,0.001594332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005252183,"about_ca_system_score_gemma":0.0004104401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002548149,"about_ca_topic_score_gemma":0.001792531,"domain_scores_codex":[0.9988878,0.0003389955,0.0001401873,0.0002593572,0.0002774982,0.00009626264],"domain_scores_gemma":[0.923275,0.06138687,0.01013168,0.002154753,0.002276013,0.000775598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002509516,0.000737406,0.5287965,0.003480557,0.001410297,0.002752361,0.003105109,0.006420317,0.002043543,0.1331703,0.01225187,0.3033221],"study_design_scores_gemma":[0.0004302358,0.0004167326,0.7265965,0.003740148,0.002102257,0.001973285,0.016343,0.02404496,0.002828764,0.1321671,0.08913831,0.0002187231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.837863,0.07712345,0.01342496,0.03073175,0.0005190106,0.00003889333,0.001002572,0.00009332819,0.03920316],"genre_scores_gemma":[0.9643438,0.03009843,0.0008615174,0.001316885,0.0007863683,0.000009011127,0.0008159414,0.00003466823,0.001733336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009446511,"threshold_uncertainty_score":0.03160167,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388303769","doi":"10.1111/jmcb.13110","title":"Geopolitical Risk and Investment","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":169,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geopolitics; Investment (military); Index (typography); Capital (architecture); Economics; Quarter (Canadian coin); Sample (material); Monetary economics; Econometrics","authors":[{"name":"Xinjie Wang","is_ca":false},{"name":"Yangru Wu","is_ca":false},{"name":"Weike Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.024412249154248,"gpt":0.2273930001801433,"spread":0.2029807510258953,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004614538,0.0001574249,0.0002178911,0.001096293,0.0001304278,0.001487784,0.0001524962,0.0003792674,0.002812527],"category_scores_gemma":[0.005602216,0.0001108739,0.000142691,0.00185094,0.0004436452,0.0006143429,0.0004412954,0.0004466156,0.0003818328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005812434,"about_ca_system_score_gemma":0.0001784421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101604,"about_ca_topic_score_gemma":0.00197357,"domain_scores_codex":[0.9997173,0.00007130341,0.00003240224,0.00004416681,0.00009488195,0.0000399494],"domain_scores_gemma":[0.9908856,0.002465954,0.005507836,0.0002971014,0.0004593498,0.0003842646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749637,0.00007695994,0.9613822,0.00005270094,0.0001552577,0.000229116,0.0001641378,0.008024352,0.0009188679,0.01117001,0.001194311,0.01645719],"study_design_scores_gemma":[0.00000765955,0.00007004465,0.9741242,0.00002786747,0.00004088256,0.0002115627,0.0003264209,0.01319345,0.0008471031,0.007662909,0.00346711,0.00002075017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986203,0.0007554491,0.001323957,0.0005138126,0.00001848249,0.00001213406,0.0006777933,0.00002880768,0.01046655],"genre_scores_gemma":[0.9991522,0.0001786398,0.00007779444,0.00001082772,0.00001481089,0.00000177564,0.0001496236,0.000001728223,0.0004127127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002812527,"threshold_uncertainty_score":0.009408891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1978165380","doi":"10.1111/j.1538-4616.2012.00543.x","title":"The Quantitative Importance of News Shocks in Estimated DSGE Models","year":2012,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":133,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Smiths Detection (Canada)","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Shock (circulatory); Variance (accounting); Inflation (cosmology); Investment (military); Econometrics; Consumption (sociology); Monetary economics; Supply shock; Monetary policy","authors":[{"name":"Hashmat Khan","is_ca":true},{"name":"John D. Tsoukalas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1404985491337738,"gpt":0.2812885116932731,"spread":0.1407899625594993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004205643,0.0009193676,0.001669558,0.001688538,0.0004400426,0.00313704,0.001184033,0.001298774,0.002573831],"category_scores_gemma":[0.02897736,0.0008976656,0.001118137,0.001712622,0.0007196568,0.002532162,0.0007990558,0.001650735,0.0003883681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542935,"about_ca_system_score_gemma":0.0009174839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02691925,"about_ca_topic_score_gemma":0.01560868,"domain_scores_codex":[0.9985654,0.000713912,0.0001352657,0.00028978,0.0001817401,0.0001139364],"domain_scores_gemma":[0.988309,0.008784394,0.001528197,0.0006809686,0.0005277884,0.0001696265],"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":[0.00009534339,0.00003110708,0.02302298,0.00006447099,0.0002899088,0.0001216485,0.0001130666,0.9471682,0.0002738872,0.02321402,0.0008775729,0.004727794],"study_design_scores_gemma":[0.00007961597,0.00004537493,0.01068864,0.00005309204,0.0001525633,0.00007901726,0.0001162702,0.9610521,0.000444263,0.02459798,0.002614193,0.00007691239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995091,0.001119453,0.186766,0.001194017,0.0001182594,0.0001138481,0.004089412,0.000551021,0.006538983],"genre_scores_gemma":[0.9759659,0.000685574,0.01687158,0.0001429938,0.00006005643,0.00008530924,0.004036442,0.0001148912,0.002037449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691925,"threshold_uncertainty_score":0.05352509,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2108437177","doi":"10.1111/j.1538-4616.2009.00254.x","title":"The Composition of Government Spending and the Real Exchange Rate","year":2009,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"","keywords":"Depreciation (economics); Government spending; Exchange rate; Economics; Consumption (sociology); Government (linguistics); Monetary economics; Investment (military); Differential (mechanical device); Macroeconomics; Microeconomics; Market economy; Capital formation","authors":[{"name":"Vahagn Galstyan","is_ca":true},{"name":"Philip R. Lane","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02279446955317985,"gpt":0.2150877273436614,"spread":0.1922932577904816,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003739485,0.0003556956,0.0002780188,0.0003619466,0.0002173692,0.001496762,0.0002114049,0.0004388941,0.00415627],"category_scores_gemma":[0.002182665,0.0001810695,0.0003422212,0.0006224206,0.0005216805,0.0009770859,0.0005384334,0.000747745,0.0005746845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006264655,"about_ca_system_score_gemma":0.0004251072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003233725,"about_ca_topic_score_gemma":0.002440737,"domain_scores_codex":[0.999826,0.0000565157,0.000009255165,0.00002449538,0.00002397841,0.00005979441],"domain_scores_gemma":[0.9987007,0.0005362402,0.000491526,0.00008471134,0.0000864441,0.0001003022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00234427,0.0006151556,0.2089635,0.0004180739,0.0004279519,0.001697046,0.0009160597,0.2817684,0.03222755,0.412359,0.003536704,0.0547263],"study_design_scores_gemma":[0.0003557232,0.0005460087,0.2775968,0.0001986048,0.000566068,0.001383072,0.001169112,0.4380445,0.01501307,0.2472431,0.017673,0.0002109478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670596,0.0007670608,0.009649006,0.0009354005,0.00003759129,0.000008900744,0.0003468547,0.00003055929,0.02116496],"genre_scores_gemma":[0.9967448,0.000448911,0.0005097726,0.00002792006,0.00001782754,0.000005698515,0.000113886,0.000008224616,0.002122927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00415627,"threshold_uncertainty_score":0.01390409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057475245","doi":"10.1111/j.1538-4616.2008.00189.x","title":"The Euro Changeover and Its Effects on Price Transparency and Inflation","year":2009,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":108,"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":"Changeover; Economics; Transparency (behavior); Inflation (cosmology); Currency; Monetary economics; Price level; International economics; Engineering; Telecommunications; Computer science","authors":[{"name":"Wioletta Dziuda","is_ca":true},{"name":"Giovanni Mastrobuoni","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01586351134055842,"gpt":0.2284016747287299,"spread":0.2125381633881715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447074,0.0002026599,0.0003467729,0.0003378438,0.0004803018,0.00257429,0.0002874942,0.001081005,0.004601314],"category_scores_gemma":[0.0133827,0.0002086448,0.0005133589,0.0005086949,0.001519871,0.001527261,0.00135773,0.001510512,0.0002021851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031633,"about_ca_system_score_gemma":0.0003581402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005082612,"about_ca_topic_score_gemma":0.002322375,"domain_scores_codex":[0.9991565,0.0004158655,0.00004329222,0.0000715686,0.0001318031,0.0001809815],"domain_scores_gemma":[0.9821326,0.009979784,0.006040149,0.0007164814,0.0004489413,0.0006819873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01176596,0.003432502,0.6702011,0.0002804411,0.0005623014,0.003098664,0.003650952,0.05526149,0.008639528,0.1833646,0.006361862,0.05338068],"study_design_scores_gemma":[0.0005033931,0.00122354,0.8388518,0.00008105199,0.0003843111,0.0006734923,0.002432413,0.06374815,0.004151342,0.08292452,0.004856397,0.0001696835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826987,0.0004116668,0.0008400045,0.001739067,0.0000292534,0.00000934943,0.00008331293,0.00001777935,0.01417076],"genre_scores_gemma":[0.9993537,0.0001075821,0.00006782812,0.00006690767,0.00001574257,0.000002248097,0.00001663797,0.000003469709,0.0003659062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005082612,"threshold_uncertainty_score":0.0153929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1893046654","doi":"10.1111/jmcb.12379","title":"Why Do Shoppers Use Cash? Evidence from Shopping Diary Data","year":2017,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":96,"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":"Deutsche Forschungsgemeinschaft","keywords":"Cash; Payment; Value (mathematics); Business; Credit card; Payment card; Debit card; ATM card; Actuarial science; Finance; Computer science","authors":[{"name":"Naoki Wakamori","is_ca":true},{"name":"Angelika Welte","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1105170262753217,"gpt":0.2658906890300489,"spread":0.1553736627547272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003035492,0.0002618351,0.0004448334,0.00152536,0.0005575212,0.001762542,0.0005683765,0.0009070971,0.005354012],"category_scores_gemma":[0.02817937,0.0004323637,0.000314295,0.002061456,0.0009453934,0.001902298,0.0007264028,0.0006419197,0.001277101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002753859,"about_ca_system_score_gemma":0.0002252234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004475347,"about_ca_topic_score_gemma":0.004354492,"domain_scores_codex":[0.9982111,0.0008402746,0.0001729826,0.0003797072,0.0002720534,0.0001238178],"domain_scores_gemma":[0.9440643,0.03581211,0.01444687,0.002714821,0.002027974,0.0009338253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007641827,0.0002640233,0.9545656,0.0005368722,0.0003527339,0.0001828629,0.00344808,0.0002474878,0.000240942,0.001097733,0.002887781,0.03541174],"study_design_scores_gemma":[0.00005792165,0.0001704782,0.9830207,0.000309871,0.0001734149,0.0002904361,0.005944442,0.001393244,0.0003424477,0.00139257,0.006857208,0.00004730025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914473,0.001496281,0.000662191,0.0007794982,0.00002223237,0.00002659755,0.001306357,0.00001172509,0.00424778],"genre_scores_gemma":[0.9972693,0.0008880408,0.0003031805,0.0002259803,0.00002438882,0.00002020927,0.0007825711,0.000005498141,0.0004807268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005354012,"threshold_uncertainty_score":0.01791096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1934926634","doi":"10.1111/jmcb.12194","title":"Explaining House Price Dynamics: Isolating the Role of Nonfundamentals","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":96,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; House price; Volatility (finance); Proxy (statistics); Market liquidity; Econometrics; Market sentiment; Boom; Quarter (Canadian coin); Relative price; Monetary economics; Financial economics; Computer science","authors":[{"name":"David C. Ling","is_ca":false},{"name":"Joseph T.L. Ooi","is_ca":false},{"name":"Thao Le","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02718733720901522,"gpt":0.2148501222554053,"spread":0.1876627850463901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006148275,0.0002879512,0.0003470767,0.0006126069,0.0001956893,0.001163677,0.0002444921,0.0003727821,0.001615172],"category_scores_gemma":[0.004134877,0.000234646,0.0002957208,0.0006495249,0.0003416893,0.0009628751,0.0005094852,0.0004721203,0.0002878197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291961,"about_ca_system_score_gemma":0.0002355179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009866141,"about_ca_topic_score_gemma":0.01195602,"domain_scores_codex":[0.9998467,0.00004249514,0.0000148779,0.00003144051,0.00002617942,0.00003818773],"domain_scores_gemma":[0.9977667,0.0008038766,0.0009922499,0.000126283,0.0001625102,0.0001484056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008932472,0.00006954817,0.979609,0.00002473963,0.00008861657,0.0001776544,0.000260293,0.003457967,0.001073819,0.001512324,0.000452184,0.01318462],"study_design_scores_gemma":[0.00000997786,0.00005255308,0.9607397,0.00000970057,0.00002551474,0.00004315237,0.0003039491,0.03476448,0.000271307,0.002904217,0.0008650334,0.00001042858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963171,0.0001660244,0.00172358,0.0001745713,0.00000949417,0.00000809889,0.0001609584,0.00001154192,0.001428521],"genre_scores_gemma":[0.9992525,0.00009629953,0.0002475816,0.00001562275,0.00001840982,0.00000231315,0.0001607312,0.000003134925,0.0002033403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009866141,"threshold_uncertainty_score":0.01961744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045071098","doi":"10.1111/j.1538-4616.2010.00350.x","title":"Investment Adjustment Costs: An Empirical Assessment","year":2010,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Economics; Investment (military); Variety (cybernetics); Econometrics; Structural estimation; Shadow price; Shadow (psychology); Asset (computer security); Microeconomics","authors":[{"name":"Charlotta Groth","is_ca":false},{"name":"Hashmat Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06760806260222865,"gpt":0.2928160333495559,"spread":0.2252079707473272,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01581773,0.0007883749,0.0008768067,0.005287,0.0005433591,0.00253869,0.001660984,0.001276112,0.005320387],"category_scores_gemma":[0.1434057,0.0003650859,0.001281182,0.00648854,0.001801657,0.003393292,0.001840782,0.001938579,0.0003736088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877623,"about_ca_system_score_gemma":0.0006766394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003711803,"about_ca_topic_score_gemma":0.003096227,"domain_scores_codex":[0.9917542,0.003529662,0.0007858355,0.0008265291,0.002552131,0.0005515651],"domain_scores_gemma":[0.7039795,0.225838,0.04479161,0.01218321,0.01158745,0.001620161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001045179,0.0004789178,0.7191507,0.000715228,0.001279239,0.0006602303,0.000464956,0.06309865,0.0005693796,0.06057753,0.005722528,0.1462374],"study_design_scores_gemma":[0.0001889381,0.0008965036,0.7870281,0.0006071866,0.001186829,0.001053804,0.001677177,0.1424687,0.00209136,0.04763659,0.01499825,0.0001666456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9294829,0.009230493,0.03150678,0.004984071,0.0001467019,0.0002458309,0.001660869,0.0001852021,0.02255711],"genre_scores_gemma":[0.9930571,0.0009713901,0.004129034,0.0001862426,0.0001289753,0.00004451589,0.0007384726,0.00003394254,0.000710344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01581773,"threshold_uncertainty_score":0.08365315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2044190200","doi":"10.1111/jmcb.12229","title":"A Reconsideration of Minsky's Financial Instability Hypothesis","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":85,"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":"Economic and Social Research Council","keywords":"Financial fragility; Economics; Leverage (statistics); Prosperity; Externality; Recession; Welfare; Financial crisis; Monetary economics; Great recession; Systematic risk; Financial economics; Macroeconomics; Keynesian economics; Microeconomics; Market economy","authors":[{"name":"Sudipto Bhattacharya","is_ca":false},{"name":"Charles Goodhart","is_ca":false},{"name":"Dimitrios P. Tsomocos","is_ca":true},{"name":"Alexandros Vardoulakis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05539054902800319,"gpt":0.2323894872213691,"spread":0.1769989381933659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002391427,0.0002865834,0.0006965466,0.0005436192,0.0007565395,0.002280436,0.0008912715,0.001631884,0.003133112],"category_scores_gemma":[0.005841029,0.0001533049,0.0006002005,0.0005293611,0.004370606,0.003143593,0.001602295,0.001958802,0.0003591233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009846099,"about_ca_system_score_gemma":0.0007295829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009012427,"about_ca_topic_score_gemma":0.0006007348,"domain_scores_codex":[0.9992284,0.0001924074,0.00004975996,0.0002194956,0.000189915,0.0001200338],"domain_scores_gemma":[0.99764,0.001009388,0.0005087645,0.0004487913,0.0002353429,0.0001577035],"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":[0.00005098024,0.00001864157,0.00202058,0.00003205847,0.00001622656,0.00005063458,0.0002384403,0.003688696,0.001030253,0.9769795,0.001791954,0.01408195],"study_design_scores_gemma":[0.00001842226,0.00005227633,0.002824483,0.00003835328,0.00001334067,0.00009200911,0.0001024191,0.007052169,0.0007530485,0.9803498,0.008686949,0.00001687487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4831751,0.006046866,0.3077225,0.05511919,0.0004862826,0.0001217875,0.0005649715,0.0002951582,0.1464682],"genre_scores_gemma":[0.9847894,0.00106,0.008459055,0.00155114,0.0002709368,0.00005822565,0.00004562101,0.00002241235,0.003743243],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003133112,"threshold_uncertainty_score":0.01264721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1582936077","doi":"10.1111/jmcb.12168","title":"Emerging Market Business Cycles: The Role of Labor Market Frictions","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":82,"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; Consumption (sociology); Matching (statistics); Incentive; Small open economy; Business cycle; Work (physics); Interest rate; Variable (mathematics); Labour economics; Current account; Monetary economics; Microeconomics; Macroeconomics; Monetary policy; Exchange rate","authors":[{"name":"Emine Boz","is_ca":false},{"name":"Ceyhun Bora Durdu","is_ca":true},{"name":"Nan Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01852243761406031,"gpt":0.2094453987362992,"spread":0.1909229611222389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184775,0.0003575024,0.0005789081,0.0007513758,0.0006360966,0.003463111,0.0004621753,0.001310301,0.005402911],"category_scores_gemma":[0.01114891,0.0003096206,0.0003538266,0.001311942,0.001411077,0.0033114,0.0009215908,0.001261911,0.0003512818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205958,"about_ca_system_score_gemma":0.0009778906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046273,"about_ca_topic_score_gemma":0.00730461,"domain_scores_codex":[0.9998197,0.00006586313,0.00001035207,0.00004210696,0.00002816954,0.00003391569],"domain_scores_gemma":[0.9966839,0.001555149,0.0009961491,0.0001762501,0.0002310796,0.0003575034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001667501,0.0001172974,0.05273887,0.00019919,0.0001111672,0.0006744795,0.0008016505,0.08380421,0.000358503,0.8024232,0.01375811,0.04484667],"study_design_scores_gemma":[0.00006528517,0.00005134742,0.03894353,0.0002089685,0.00006145428,0.0001827437,0.0009232853,0.1231252,0.00009264358,0.8175527,0.01873849,0.00005432214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7945952,0.03285936,0.06274478,0.03896438,0.0005164979,0.0001095894,0.001248837,0.000253814,0.06870744],"genre_scores_gemma":[0.9883273,0.007256845,0.0008005297,0.0003078297,0.0002103769,0.0000169553,0.0001263183,0.00001835328,0.002935479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046273,"threshold_uncertainty_score":0.02080369,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011480840","doi":"10.1111/j.1538-4616.2011.00471.x","title":"Effective Use of Survey Information in Estimating the Evolution of Expected Inflation","year":2012,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":82,"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":"Inflation (cosmology); Economics; Survey data collection; Econometrics; Monetary policy; Lag; Horizon; Adaptive expectations; Perception; Point (geometry); Sample (material); Monetary economics; Rational expectations; Psychology; Computer science; Statistics; Physics; Mathematics","authors":[{"name":"Sharon Kozicki","is_ca":true},{"name":"Peter A. Tinsley","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06554971147158231,"gpt":0.2365213767012908,"spread":0.1709716652297085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0220198,0.0005467258,0.0007278156,0.002796918,0.0003930198,0.002265288,0.0008108453,0.001090108,0.001899751],"category_scores_gemma":[0.1171775,0.0007645491,0.0006465174,0.00577646,0.0004196539,0.002406088,0.001177198,0.001050339,0.0007130498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008278306,"about_ca_system_score_gemma":0.0009085446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01532044,"about_ca_topic_score_gemma":0.01606668,"domain_scores_codex":[0.9827058,0.01378537,0.0008691759,0.001130833,0.001201773,0.0003070535],"domain_scores_gemma":[0.8823158,0.09540445,0.009494375,0.009111254,0.003251194,0.0004229609],"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":[0.0005582918,0.0003581024,0.69422,0.0002827916,0.001226248,0.0002378314,0.0007143834,0.08448011,0.0008530956,0.01250126,0.00470163,0.1998663],"study_design_scores_gemma":[0.0001501022,0.0006194059,0.3448676,0.000194535,0.000528013,0.0003497116,0.001026201,0.6075754,0.002986886,0.03020524,0.01130598,0.000190919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6245852,0.001294613,0.3526004,0.001177132,0.0001343468,0.0004530753,0.006339379,0.0006428034,0.0127732],"genre_scores_gemma":[0.9493262,0.0003766937,0.04600243,0.0001749698,0.00005094982,0.0001760326,0.002927348,0.00002176564,0.0009436273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0220198,"threshold_uncertainty_score":0.1164532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2105125874","doi":"10.1111/j.1538-4616.2008.00163.x","title":"Energy Price Shocks and the Macroeconomy: The Role of Consumer Durables","year":2008,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Capital District Health Authority","funders":"","keywords":"Economics; Investment (military); Monetary economics; Durable good; Capital (architecture); Productivity; Production (economics); Capital good; Energy (signal processing); Price shock; Macroeconomics; Microeconomics; Economy; Goods and services","authors":[{"name":"Rajeev Dhawan","is_ca":false},{"name":"Karsten Jeske","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01142186528056658,"gpt":0.184071149597565,"spread":0.1726492843169984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004183368,0.0004619549,0.0005395372,0.0003706148,0.0003431051,0.002588777,0.0006084612,0.001616703,0.003882064],"category_scores_gemma":[0.001965787,0.0002819545,0.0005799206,0.0006311379,0.0009057977,0.002434345,0.0008713764,0.001131154,0.0003062428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007283457,"about_ca_system_score_gemma":0.0006062522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095267,"about_ca_topic_score_gemma":0.006304439,"domain_scores_codex":[0.9998717,0.00004942539,0.000005731999,0.00002048259,0.00001620303,0.00003637882],"domain_scores_gemma":[0.9993414,0.0003469298,0.0001367989,0.00004458313,0.00003629505,0.00009400305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000304342,0.0001578511,0.02458755,0.0000626208,0.00009844326,0.000424777,0.0001608518,0.7449253,0.001500748,0.2179533,0.001705927,0.008118288],"study_design_scores_gemma":[0.0001520669,0.0001439646,0.008523492,0.00003309408,0.00006519249,0.00008579253,0.0001945635,0.8721226,0.000411877,0.1152728,0.002953823,0.00004060181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232074,0.001474623,0.04926576,0.006682804,0.0001104999,0.00004345603,0.0008510415,0.00009300905,0.01827137],"genre_scores_gemma":[0.9942812,0.0006503361,0.0009957628,0.0001104505,0.00002859272,0.0000180343,0.00007977091,0.000009672418,0.003826346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01095267,"threshold_uncertainty_score":0.02177787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1684088702","doi":"10.1111/j.1538-4616.2011.00384.x","title":"Taylor Rules and the Euro","year":2011,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Predictability; Taylor rule; Economics; Inflation (cosmology); Output gap; Exchange rate; Econometrics; Quarter (Canadian coin); Liberian dollar; Us dollar; Unemployment; Real interest rate; Sample (material); Interest rate; Monetary policy; Monetary economics; Macroeconomics; Central bank; Finance; Statistics; Mathematics","authors":[{"name":"Tanya Molodtsova","is_ca":false},{"name":"Alex Nikolsko‐Rzhevskyy","is_ca":false},{"name":"David H. Papell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08266792617864553,"gpt":0.2100383709082701,"spread":0.1273704447296246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002270655,0.000351812,0.0005157249,0.0006830654,0.0005116655,0.002656773,0.0003357039,0.0007719896,0.004703198],"category_scores_gemma":[0.009867697,0.0002051322,0.0004020333,0.0005996256,0.001485857,0.001905846,0.0007810665,0.001662932,0.0008314383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008235392,"about_ca_system_score_gemma":0.000901903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002599532,"about_ca_topic_score_gemma":0.001373511,"domain_scores_codex":[0.9992626,0.000244854,0.00005232489,0.0001487341,0.0002233173,0.00006817147],"domain_scores_gemma":[0.9965816,0.001496134,0.001012501,0.0003202199,0.0004149187,0.0001744976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001082337,0.00003362754,0.007267325,0.00008995007,0.00005912119,0.0002462035,0.0006307903,0.01124829,0.0003683477,0.9168931,0.01753304,0.04552194],"study_design_scores_gemma":[0.00005987071,0.00007138685,0.01239952,0.0001770931,0.00004385577,0.0002520824,0.0003726793,0.02028675,0.0006598279,0.9032049,0.06243185,0.00004030885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3048182,0.03369871,0.07414651,0.03855488,0.003216327,0.0001046218,0.0009522953,0.000693806,0.5438147],"genre_scores_gemma":[0.9728779,0.005968699,0.003857673,0.0009531848,0.0008030185,0.00003746281,0.0002212354,0.00009066419,0.0151902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004703198,"threshold_uncertainty_score":0.01573378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096547486","doi":"10.1111/jmcb.12103","title":"Divisia Monetary Aggregates, the Great Ratios, and Classical Money Demand Functions","year":2014,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Divisia monetary aggregates index; Divisia index; Cointegration; Consumption (sociology); Business cycle; Econometrics; Monetary economics; Investment (military); Demand for money; Productivity; Explanatory power; Interest rate; Variable (mathematics); Monetary policy; Keynesian economics; Macroeconomics; Central bank; Mathematics; Quantitative easing","authors":[{"name":"Apostolos Serletis","is_ca":true},{"name":"Periklis Gogas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03500381675621343,"gpt":0.2090899244515783,"spread":0.1740861076953649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004050495,0.0007066675,0.0009372655,0.002407405,0.0004371862,0.002789256,0.0008711573,0.000728099,0.001729802],"category_scores_gemma":[0.02899826,0.0003482174,0.0005643532,0.002158587,0.002063126,0.003629958,0.001691443,0.001367184,0.0002482994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169739,"about_ca_system_score_gemma":0.0004327748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005239381,"about_ca_topic_score_gemma":0.002600934,"domain_scores_codex":[0.9987547,0.0006288716,0.00007522663,0.0001978736,0.0002041894,0.0001390647],"domain_scores_gemma":[0.9856835,0.008310028,0.003467173,0.001296652,0.0008283549,0.0004143495],"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":[0.0007477791,0.0001112178,0.07198431,0.0002627632,0.0005066508,0.0005038845,0.0009817843,0.08958948,0.001256856,0.7599173,0.004461171,0.06967677],"study_design_scores_gemma":[0.0000939119,0.0001148534,0.06260841,0.00007530175,0.0001580273,0.0001414022,0.0004525809,0.2414576,0.0007386775,0.6880671,0.006022538,0.00006963882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916124,0.005095089,0.05739558,0.002724249,0.0002442247,0.00003346052,0.0004076153,0.0001380507,0.0178378],"genre_scores_gemma":[0.9946848,0.0009164989,0.002953998,0.0001376512,0.0002538219,0.00001255395,0.0001320197,0.0000153409,0.0008934055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005239381,"threshold_uncertainty_score":0.02142131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126495048","doi":"10.1111/jmcb.12250","title":"Investment‐Specific News Shocks and U.S. Business Cycles","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Business cycle; Investment (military); Recession; Consumption (sociology); Monetary economics; Economics; Variation (astronomy); Macroeconomics; Political science","authors":[{"name":"Nadav Ben Zeev","is_ca":false},{"name":"Hashmat Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04700025224457879,"gpt":0.2286358207219711,"spread":0.1816355684773923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004368182,0.0001808945,0.000213784,0.0008111479,0.0002425536,0.001295803,0.00009947424,0.0004502874,0.002401666],"category_scores_gemma":[0.005804439,0.0001233828,0.0001468043,0.001659452,0.0002000261,0.0004988648,0.0004273857,0.0005960913,0.0004191829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004728195,"about_ca_system_score_gemma":0.0003028458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01178387,"about_ca_topic_score_gemma":0.01550798,"domain_scores_codex":[0.999874,0.00002325192,0.0000147834,0.00002601927,0.00003427368,0.00002759478],"domain_scores_gemma":[0.9949739,0.001321399,0.002781942,0.0001493473,0.0004917484,0.0002816175],"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":[0.0003257189,0.0001066275,0.9443052,0.0001030589,0.0001671571,0.0002788547,0.0004443668,0.004638623,0.0008657257,0.004875693,0.01095451,0.03293446],"study_design_scores_gemma":[0.00001575964,0.00006289869,0.9826527,0.00006454732,0.00007687519,0.00008754056,0.0004207599,0.005140481,0.0006411596,0.002520144,0.00829467,0.00002253697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810112,0.001679013,0.0006085833,0.002425486,0.00008245916,0.00001038427,0.004492298,0.00003849682,0.009652057],"genre_scores_gemma":[0.9963213,0.0009874384,0.000106994,0.0001591931,0.00006196183,0.000003952792,0.001756266,0.000005784382,0.0005970056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01178387,"threshold_uncertainty_score":0.02343059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110659493","doi":"10.1111/j.1538-4616.2009.00287.x","title":"Openness and Inflation","year":2010,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Trinity College","funders":"","keywords":"Openness to experience; Economics; Inflation (cosmology); Exploit; Monopoly; Discretion; Monetary economics; Welfare; Monetary policy; Small open economy; General equilibrium theory; Phillips curve; Short run; Open economy; Macroeconomics; Keynesian economics; Microeconomics; Exchange rate; Market economy","authors":[{"name":"Dudley Cooke","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04066911363284226,"gpt":0.2228108158897265,"spread":0.1821417022568843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005592617,0.000221948,0.0003776862,0.0004453959,0.0004610612,0.002475081,0.0003218435,0.001178817,0.006335418],"category_scores_gemma":[0.002393987,0.0002181651,0.0005606734,0.0003900422,0.0008261321,0.001436091,0.001110361,0.001165298,0.0005374021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009213458,"about_ca_system_score_gemma":0.0005707847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835117,"about_ca_topic_score_gemma":0.0007463198,"domain_scores_codex":[0.999713,0.0001045036,0.00001077745,0.00005256508,0.00004645981,0.00007271962],"domain_scores_gemma":[0.9992251,0.0003818356,0.0002046255,0.0000501243,0.00005261565,0.00008565248],"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":[0.0001903102,0.00007401057,0.008485435,0.00007607847,0.00006472738,0.0006067017,0.0003989619,0.09129678,0.001414729,0.8751354,0.003176068,0.01908084],"study_design_scores_gemma":[0.00008162763,0.00007304503,0.008492611,0.00008714461,0.00004109081,0.0005817705,0.0002304752,0.08328721,0.0003756622,0.8856086,0.02109695,0.00004378831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4551886,0.009041876,0.1103807,0.02676142,0.0004698147,0.00007341836,0.0005946711,0.0003106068,0.3971788],"genre_scores_gemma":[0.9862041,0.001457983,0.001325507,0.0002482792,0.0001401999,0.00001974154,0.00006880028,0.00002048395,0.0105148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006335418,"threshold_uncertainty_score":0.02119404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2141028856","doi":"10.1111/j.1538-4616.2011.00440.x","title":"Information and Liquidity","year":2011,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Business Development Bank of Canada","funders":"","keywords":"Market liquidity; Currency; Private information retrieval; Economics; Monetary economics; Value (mathematics); Bond; Financial economics; Stock (firearms); Construct (python library); Microeconomics; Business; Econometrics; Finance; Computer science; Computer security","authors":[{"name":"Benjamin Lester","is_ca":true},{"name":"Andrew Postlewaite","is_ca":false},{"name":"Randall Wright","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03841745756597517,"gpt":0.1931999148550922,"spread":0.154782457289117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001692748,0.0004672993,0.000676939,0.001055494,0.0009285645,0.004392929,0.0007370661,0.002202385,0.01603347],"category_scores_gemma":[0.02477611,0.0002895407,0.000543933,0.001479604,0.002419822,0.007880262,0.001800639,0.002324657,0.0009001305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484479,"about_ca_system_score_gemma":0.0008167887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002220778,"about_ca_topic_score_gemma":0.001116525,"domain_scores_codex":[0.9990357,0.0003200019,0.00004305859,0.0001516254,0.0001738934,0.0002757184],"domain_scores_gemma":[0.9779098,0.01398442,0.005993786,0.0008572766,0.0005828213,0.0006719764],"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":[0.0005984409,0.0005161314,0.03009712,0.0003385554,0.0001534937,0.0008427828,0.001763258,0.06177688,0.003117192,0.8506175,0.004990593,0.0451881],"study_design_scores_gemma":[0.0001180282,0.0002775756,0.009956101,0.0001112925,0.00009118161,0.0003453095,0.0006392742,0.0459982,0.001422964,0.934437,0.006513673,0.00008946646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7844954,0.00538,0.08043274,0.01587905,0.0001814523,0.00009964748,0.0008262213,0.0001902784,0.1125152],"genre_scores_gemma":[0.9943331,0.000627836,0.001155072,0.0002007901,0.00008288494,0.00001606489,0.00006179409,0.00001059079,0.003511835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01603347,"threshold_uncertainty_score":0.05363733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2119550786","doi":"10.1111/jmcb.12227","title":"Do Central Bank Forecasts Influence Private Agents? Forecasting Performance versus Signals","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Central bank; Inflation (cosmology); Publication; Inflation targeting; Monetary policy; Consensus forecast; Economics; Set (abstract data type); Private sector; Monetary economics; Business; Macroeconomics; Econometrics; Computer science; Economic growth; Advertising","authors":[{"name":"Paul Hubert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1647268048390318,"gpt":0.2558707303623383,"spread":0.0911439255233065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01070525,0.0003949725,0.0008747831,0.001013688,0.0004494943,0.004050816,0.0004673655,0.00163443,0.002266077],"category_scores_gemma":[0.08665083,0.0003589864,0.0003026235,0.001593644,0.0007793479,0.002704962,0.0007522477,0.001285543,0.0007484512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00095195,"about_ca_system_score_gemma":0.000865639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006080602,"about_ca_topic_score_gemma":0.0042178,"domain_scores_codex":[0.9951655,0.002493977,0.0003333464,0.0006795183,0.000941011,0.0003866812],"domain_scores_gemma":[0.8570946,0.09531797,0.03032014,0.008057381,0.007157104,0.002052815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002335132,0.0004254338,0.8360569,0.0002833586,0.001159591,0.0002714407,0.005396398,0.03838103,0.004677376,0.01474968,0.003325599,0.09293798],"study_design_scores_gemma":[0.000298399,0.000573322,0.7867929,0.0001780099,0.0006988446,0.0001545324,0.003999115,0.1672071,0.005581301,0.0282869,0.006030576,0.0001988782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985635,0.0003744037,0.003046818,0.001916211,0.00005807791,0.00001542741,0.0002519606,0.00004129856,0.008660759],"genre_scores_gemma":[0.9991589,0.0001175523,0.0002793463,0.00006826223,0.00006211293,0.000004976378,0.00006825651,0.000003743928,0.0002369767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01070525,"threshold_uncertainty_score":0.05661541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W215580921","doi":"10.1111/jmcb.12307","title":"Housing and Tax Policy","year":2016,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":65,"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":"Depreciation (economics); Economics; Collateral; Renting; Allowance (engineering); Tax credit; Monetary economics; Tax reform; Tax policy; Revenue; Ad valorem tax; Tax Reform Act; Tax revenue; State income tax; Microeconomics; Macroeconomics; Public economics; Gross income; Finance","authors":[{"name":"Sami Alpanda","is_ca":true},{"name":"Sarah Zubairy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02209155262305562,"gpt":0.214914237488808,"spread":0.1928226848657524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006255634,0.0002621808,0.0003795039,0.0003490332,0.0005663024,0.001644096,0.0003228336,0.001164876,0.01265096],"category_scores_gemma":[0.002464948,0.0001560438,0.0003308551,0.0006406759,0.0008449639,0.00129116,0.0005819707,0.001023565,0.0008185309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196592,"about_ca_system_score_gemma":0.001477281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01547987,"about_ca_topic_score_gemma":0.01289621,"domain_scores_codex":[0.9996669,0.0001164248,0.00001227395,0.00005040076,0.00006901849,0.00008500948],"domain_scores_gemma":[0.9993389,0.0001875076,0.000235071,0.00005058325,0.0001076236,0.00008037314],"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":[0.0001629519,0.0001926133,0.02287716,0.0001231682,0.0001111296,0.0002902649,0.0002014785,0.09517062,0.0006363709,0.8060222,0.01759822,0.05661387],"study_design_scores_gemma":[0.0001581532,0.0004945928,0.07490878,0.0003168428,0.0001392617,0.0004942842,0.001195341,0.09010769,0.001649015,0.5945562,0.2358953,0.00008467415],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5696578,0.02634979,0.03332968,0.0523157,0.001031965,0.0001923095,0.002703024,0.0002913546,0.3141284],"genre_scores_gemma":[0.9711411,0.005249402,0.001149208,0.0009453431,0.0001932018,0.00002025282,0.0003277477,0.0000189189,0.02095482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547987,"threshold_uncertainty_score":0.04232168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015724388","doi":"10.1353/mcb.2006.0055","title":"How to Compare Taylor and Calvo Contracts: A Comment on Michael Kiley","year":2006,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Durham University; Cardiff University; University of Glasgow; University of Birmingham; University of Warwick; University of Cambridge; University of St Andrews; London Metropolitan University; University of Exeter; University of Essex; York University; George Washington University; Vanderbilt University","keywords":"Autocorrelation; Taylor series; Economics; Econometrics; Mathematics; Mathematical economics; Statistics; Mathematical analysis","authors":[{"name":"Huw David Dixon","is_ca":false},{"name":"Engin Kara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02220133545819723,"gpt":0.2057521837980481,"spread":0.1835508483398509,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01772749,0.0009317283,0.002056555,0.0017063,0.004325415,0.005834011,0.007495759,0.02927203,0.005386179],"category_scores_gemma":[0.1034061,0.000897121,0.001668573,0.002837864,0.01295135,0.02138074,0.004090839,0.03966685,0.002334828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004939241,"about_ca_system_score_gemma":0.003756347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106923,"about_ca_topic_score_gemma":0.01225765,"domain_scores_codex":[0.9866884,0.004836968,0.001146537,0.002656343,0.00397255,0.0006990382],"domain_scores_gemma":[0.9372049,0.05034084,0.002785607,0.001646969,0.006542322,0.001479439],"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":[0.00009434068,0.00002533959,0.0006934663,0.0001864562,0.00003301641,0.0003724511,0.00169954,0.0003165543,0.0001314864,0.1907412,0.7943784,0.01132783],"study_design_scores_gemma":[0.00008049863,0.00004686514,0.001435853,0.0008833304,0.00003311129,0.0007157003,0.002660689,0.001822276,0.0005360557,0.2795168,0.7120904,0.0001784297],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006330867,0.004393406,0.0007593922,0.9876287,0.004686692,0.000004667315,0.00004784302,0.00002933473,0.001816838],"genre_scores_gemma":[0.02738196,0.005226939,0.002032041,0.9346231,0.02616808,0.00006947781,0.00004278232,0.000150359,0.004305213],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02927203,"threshold_uncertainty_score":0.09375298,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045711449","doi":"10.1111/j.1538-4616.2010.00303.x","title":"The Empirics of International Monetary Transmission: Identification and the Impossible Trinity","year":2010,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"BlueDot (Canada)","funders":"","keywords":"Interest rate; Economics; International Fisher effect; Monetary policy; Interest rate parity; Exchange rate; Concordance; Monetary economics; Transmission (telecommunications); Identification (biology); Real interest rate; Macroeconomics; Econometrics; International economics; Fisher hypothesis; Computer science","authors":[{"name":"John Bluedorn","is_ca":true},{"name":"Christopher Bowdler","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01629782920626353,"gpt":0.2374330151683292,"spread":0.2211351859620657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01452487,0.0004983831,0.001312738,0.002904853,0.0008581227,0.004567961,0.001035426,0.001235952,0.003168278],"category_scores_gemma":[0.09909034,0.0007363064,0.0007323896,0.002239092,0.006815761,0.01077916,0.004113933,0.002370301,0.0002817615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209428,"about_ca_system_score_gemma":0.0008905801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558438,"about_ca_topic_score_gemma":0.0006744447,"domain_scores_codex":[0.9924016,0.005072786,0.000457927,0.000994942,0.0007971687,0.0002755427],"domain_scores_gemma":[0.9324113,0.04989504,0.008687713,0.006621187,0.001784963,0.0005997011],"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":[0.0001965286,0.00007433422,0.05041822,0.0002479956,0.00033477,0.0003653733,0.00145139,0.08574069,0.0002633807,0.8176993,0.001244065,0.04196403],"study_design_scores_gemma":[0.00005110707,0.00004885524,0.01230095,0.0001837224,0.0000410159,0.0001709149,0.0006261805,0.1416239,0.0001427612,0.8432355,0.00153415,0.00004094422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046009,0.002635943,0.2391459,0.007800971,0.0001848257,0.0001141308,0.0003421392,0.0001335623,0.04504171],"genre_scores_gemma":[0.9947351,0.000540985,0.004104761,0.0001059595,0.00006772029,0.00004857957,0.00008447038,0.00001610492,0.0002962926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452487,"threshold_uncertainty_score":0.07681578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1941580786","doi":"10.1111/jmcb.12028","title":"Do Sales of Foreign Exchange Reserves Lead to Currency Appreciation?","year":2013,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Global Financial Crisis and Policies","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":"University of Alberta","funders":"Grantová Agentura České Republiky","keywords":"Currency; Valuation (finance); Business; Monetary economics; Value (mathematics); Exchange rate; Foreign exchange; Foreign-exchange reserves; Economics; Commerce; Finance; Computer science","authors":[{"name":"Kathryn M.E. Dominguez","is_ca":false},{"name":"Rasmus Fatum","is_ca":true},{"name":"Pavel Vacek","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04135931873745963,"gpt":0.2517671152055113,"spread":0.2104077964680516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001453003,0.0002383303,0.0003929261,0.0008571902,0.0001782866,0.001415863,0.0004193028,0.0007139961,0.006125173],"category_scores_gemma":[0.01437338,0.0001848721,0.0003568208,0.0009434039,0.0004990172,0.0007710276,0.0005195581,0.0009621818,0.001104914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002787069,"about_ca_system_score_gemma":0.0002923384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003813824,"about_ca_topic_score_gemma":0.003318011,"domain_scores_codex":[0.9996471,0.000100072,0.0000391174,0.00009830907,0.00004181193,0.0000736013],"domain_scores_gemma":[0.9784938,0.01031532,0.009146656,0.0005605125,0.0006011908,0.0008824602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007113959,0.000153635,0.9865501,0.00005653945,0.0001107927,0.0003219937,0.0001708676,0.001052959,0.0004206208,0.0005602057,0.0005988571,0.00929193],"study_design_scores_gemma":[0.00003258179,0.0002021058,0.9921674,0.00002460954,0.000102267,0.0001814644,0.0006100193,0.00427441,0.0004499697,0.001042851,0.0008996511,0.00001259233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961063,0.0005475805,0.0001641899,0.000397796,0.00002275696,0.000006709186,0.0004699561,0.00000980438,0.002274887],"genre_scores_gemma":[0.998695,0.0002773517,0.00003933557,0.00003588645,0.00002903077,0.000003356244,0.0004206256,0.000002927915,0.0004965693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006125173,"threshold_uncertainty_score":0.02049077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2798122708","doi":"10.1111/jmcb.12847","title":"The Propagation of Regional Shocks in Housing Markets: Evidence from Oil Price Shocks in Canada","year":2021,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":43,"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":"Redistribution (election); Economics; Oil price; Revenue; Demand shock; Government revenue; Monetary economics; Government (linguistics); Government spending; House price; International economics; Macroeconomics; Market economy; Finance","authors":[{"name":"Lutz Kilian","is_ca":false},{"name":"Xiaoqing Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02831611397734443,"gpt":0.2062968041057167,"spread":0.1779806901283723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004942856,0.0001933278,0.0003114129,0.00115291,0.001690735,0.001519754,0.0006722686,0.000416845,0.002973809],"category_scores_gemma":[0.00403175,0.0001936169,0.0003160688,0.003792647,0.0008575509,0.0004894091,0.000942537,0.0006323411,0.0001697748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01373201,"about_ca_system_score_gemma":0.01302872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949682,"about_ca_topic_score_gemma":0.9955797,"domain_scores_codex":[0.9995801,0.00004370457,0.00001961287,0.00005801401,0.0001276213,0.0001709073],"domain_scores_gemma":[0.9970013,0.000441503,0.0005655179,0.0001484653,0.00151085,0.0003323619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003708558,0.00009390689,0.9674104,0.00007535722,0.0001728199,0.0004296162,0.002604865,0.00403105,0.0009378134,0.002414214,0.003822671,0.01763655],"study_design_scores_gemma":[0.00001756973,0.00001329739,0.9925843,0.00001565791,0.00004015309,0.00002495736,0.002701745,0.002237646,0.000273197,0.0002402405,0.001831017,0.00002020384],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924148,0.0003057998,0.0001855098,0.0006201923,0.000005880577,0.00002017361,0.001989582,0.0000124624,0.004445626],"genre_scores_gemma":[0.9987005,0.0001937686,0.00006519437,0.0000349247,0.000002331805,0.000002477001,0.0004755869,0.000002463333,0.0005227503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01373201,"threshold_uncertainty_score":0.09963316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2137693394","doi":"10.1111/j.1538-4616.2008.00144.x","title":"The Dynamic (In)Efficiency of Monetary Policy by Committee","year":2008,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","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":"Université de Montréal","funders":"","keywords":"Voting; Value (mathematics); Monetary policy; Economics; Autocorrelation; Preference; Power (physics); Econometrics; Variable (mathematics); Microeconomics; Monetary economics; Statistics; Political science; Politics; Mathematics; Law","authors":[{"name":"Alessandro Riboni","is_ca":true},{"name":"Francisco J. Ruge‐Murcia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.029624111937175,"gpt":0.2219985534151597,"spread":0.1923744414779847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005784846,0.0005252736,0.001092874,0.0007569949,0.001127589,0.003828824,0.002334568,0.001760995,0.008214517],"category_scores_gemma":[0.01788372,0.0006420608,0.0007990489,0.0008086737,0.002397169,0.004018383,0.001635404,0.001278776,0.001725772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022921,"about_ca_system_score_gemma":0.001265419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00396665,"about_ca_topic_score_gemma":0.002607541,"domain_scores_codex":[0.9948651,0.002697526,0.0001844058,0.0008228786,0.0006134796,0.0008165438],"domain_scores_gemma":[0.9916856,0.003508289,0.001783383,0.001315638,0.0009612125,0.0007458559],"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":[0.0004125144,0.0002468831,0.009694016,0.0001004954,0.0001425092,0.0003087138,0.000827393,0.2826419,0.002910521,0.6713617,0.003313025,0.02804035],"study_design_scores_gemma":[0.0002380489,0.0002002875,0.004821032,0.00005337793,0.00008732131,0.0001630355,0.0005211364,0.5404301,0.001238292,0.441404,0.01077946,0.00006388185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4207279,0.0005764515,0.4875331,0.003684819,0.0001528236,0.0002613765,0.0003236942,0.0001855412,0.08655433],"genre_scores_gemma":[0.9680731,0.0003005626,0.01324279,0.0002089768,0.000122539,0.0001700697,0.0001011753,0.0000426987,0.01773803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008214517,"threshold_uncertainty_score":0.03059351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037880657","doi":"10.1111/j.1538-4616.2012.00541.x","title":"Risk Premium Shocks and the Zero Bound on Nominal Interest Rates","year":2012,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":40,"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":"Banca d'Italia","keywords":"Dynamic stochastic general equilibrium; Zero lower bound; Economics; Nominal interest rate; Monetary policy; Zero (linguistics); Interest rate; Monetary economics; Government spending; Demand shock; Econometrics; Real interest rate; Macroeconomics","authors":[{"name":"Robert Amano","is_ca":true},{"name":"Malik Shukayev","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06303084769593657,"gpt":0.2429308887735812,"spread":0.1799000410776446,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001897226,0.0006191815,0.0006540733,0.0005217203,0.0003706257,0.003500164,0.0006482737,0.001300307,0.002253284],"category_scores_gemma":[0.01159801,0.0003728299,0.0005785608,0.0004326169,0.001794427,0.003186345,0.001669893,0.002861026,0.0002626356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000996865,"about_ca_system_score_gemma":0.0006017364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00173125,"about_ca_topic_score_gemma":0.0006572282,"domain_scores_codex":[0.9993349,0.0002801129,0.00003643732,0.000119235,0.0001250251,0.0001042785],"domain_scores_gemma":[0.9961019,0.002242256,0.001001059,0.0002631646,0.0002187583,0.0001730369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003694465,0.00001759873,0.00192588,0.0000356335,0.00003321547,0.0001616313,0.0001276252,0.1134462,0.0008091857,0.8781042,0.0007483145,0.004553623],"study_design_scores_gemma":[0.00001940529,0.00002639923,0.001979478,0.00003057887,0.00002038162,0.00008939341,0.00008111451,0.1967002,0.0004283721,0.7990336,0.001553822,0.0000372105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4846067,0.002618344,0.4596474,0.007481101,0.0003295127,0.00003306552,0.0003719781,0.0002658363,0.0446461],"genre_scores_gemma":[0.9937485,0.000751984,0.003461116,0.0001285548,0.00005988639,0.00001165183,0.00006191077,0.00002565123,0.001750705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003500164,"threshold_uncertainty_score":0.01003361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2131504803","doi":"10.1111/j.1538-4616.2007.00082.x","title":"Wealth and Risk Effects of Adopting Deposit Insurance in Canada: Evidence of Risk Shifting by Banks and Trust Companies","year":2007,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Shareholder; Deposit insurance; Business; Systematic risk; Incentive; Finance; Actuarial science; Monetary economics; Economics; Corporate governance","authors":[{"name":"John D. Wagster","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01186890806732738,"gpt":0.2140182593822247,"spread":0.2021493513148973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152214,0.0002444982,0.0004182598,0.00109131,0.003445776,0.002109384,0.0008778154,0.0008403159,0.004092168],"category_scores_gemma":[0.008474034,0.0002617375,0.0004675865,0.002202537,0.001531988,0.0006332754,0.001519296,0.00117963,0.0002066298],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03281208,"about_ca_system_score_gemma":0.02651112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948717,"about_ca_topic_score_gemma":0.9968514,"domain_scores_codex":[0.9986285,0.0001560021,0.00005699049,0.0001313374,0.000458453,0.0005686801],"domain_scores_gemma":[0.9906918,0.001345119,0.003239408,0.0003606945,0.002046948,0.002316091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005652282,0.0002008928,0.9783959,0.00002558331,0.00009772384,0.0002511569,0.002662856,0.0008466259,0.000299531,0.001554729,0.001581151,0.01351862],"study_design_scores_gemma":[0.00003564448,0.00004907406,0.9948486,0.00002593537,0.00005548969,0.00004071208,0.002390229,0.0006313599,0.0001319993,0.0002196289,0.001548363,0.00002299472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953436,0.0004094165,0.0000393468,0.0008206683,0.000005326548,0.00001354424,0.0004728585,0.000004712081,0.002890381],"genre_scores_gemma":[0.9982426,0.0002436544,0.00003680912,0.0000561784,0.000002793173,0.000002857753,0.0001921872,0.000001872458,0.001221129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9671879,"threshold_uncertainty_score":0.2380694,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028755994","doi":"10.1111/j.1538-4616.2011.00448.x","title":"Uncertainty, Inflation, and Welfare","year":2011,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Economic theories and models","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; Inflation (cosmology); Welfare; Monetary economics; Market liquidity; Imperfect; Monetary policy; Econometrics; Macroeconomics","authors":[{"name":"Jonathan Chiu","is_ca":true},{"name":"Miguel Molico","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03679761536607877,"gpt":0.2003647960122226,"spread":0.1635671806461438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008917153,0.0001847839,0.0003333906,0.0003701247,0.0004660753,0.001656236,0.0001973513,0.0007512233,0.002205929],"category_scores_gemma":[0.005217601,0.0001462079,0.0002413688,0.0004581677,0.001077315,0.001204175,0.0007864761,0.0007314156,0.0001053691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266052,"about_ca_system_score_gemma":0.0006692481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001456527,"about_ca_topic_score_gemma":0.00107074,"domain_scores_codex":[0.9996118,0.0001885013,0.00001226573,0.0000381986,0.00006433446,0.00008494693],"domain_scores_gemma":[0.9978238,0.001420994,0.0003849845,0.0001748955,0.0001070401,0.0000882212],"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":[0.0003981892,0.0001741674,0.02772599,0.0001195341,0.0002632053,0.0004123013,0.0003824084,0.1517331,0.001251507,0.7504522,0.003277695,0.06380964],"study_design_scores_gemma":[0.00003641181,0.0001145382,0.02240286,0.00008066472,0.00008833899,0.0002295891,0.0004285669,0.08708192,0.0005010519,0.8824211,0.006582992,0.00003190386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080875,0.004686275,0.03551916,0.01116995,0.00009680654,0.00001625825,0.0003053785,0.00005755576,0.04006123],"genre_scores_gemma":[0.9976512,0.0007859025,0.0005255314,0.00009437231,0.00003726414,0.00000716277,0.00003447908,0.000003874294,0.0008603021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002205929,"threshold_uncertainty_score":0.009185851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113161270","doi":"10.1111/j.1538-4616.2009.00230.x","title":"Can Affine Term Structure Models Help Us Predict Exchange Rates?","year":2009,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Royal Bank of Canada","funders":"","keywords":"Term (time); Liberian dollar; Affine term structure model; Pound (networking); Yield curve; Us dollar; Forward rate; Economics; Econometrics; Arbitrage; Exchange rate; Random walk; German; Pound Sterling; Financial economics; Monetary economics; Interest rate; Mathematics; Computer science; Statistics; Geography; Finance","authors":[{"name":"Antonio Diez de los Rı́os","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04619751495631314,"gpt":0.2254433879278912,"spread":0.179245872971578,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001716788,0.0008042683,0.0008479079,0.0007934818,0.0002628599,0.001782979,0.0006975812,0.001376112,0.002531411],"category_scores_gemma":[0.01311643,0.0005084869,0.000674338,0.000706412,0.0004791817,0.00407303,0.0005083852,0.001436732,0.001727822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002662425,"about_ca_system_score_gemma":0.0002843696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003376347,"about_ca_topic_score_gemma":0.002312616,"domain_scores_codex":[0.999795,0.00009207028,0.00001293694,0.00004324794,0.00003185292,0.00002487523],"domain_scores_gemma":[0.9975595,0.001668946,0.0003093693,0.0002176889,0.0001722238,0.00007219032],"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":[0.0003327152,0.0001219085,0.0393635,0.0002070867,0.0004489611,0.0002127523,0.0002217618,0.6886011,0.001881742,0.08145828,0.008604364,0.1785459],"study_design_scores_gemma":[0.00003603355,0.00004646668,0.003205104,0.00003679394,0.00004005677,0.00004452717,0.00004298047,0.875393,0.0004473289,0.1177468,0.002925532,0.00003536145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3093099,0.01073982,0.6524535,0.01371459,0.000888182,0.00003863373,0.001358476,0.001606646,0.009890279],"genre_scores_gemma":[0.9513082,0.004418529,0.03882515,0.0004380635,0.0005444654,0.0000237937,0.0009768484,0.0001061159,0.003358876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003376347,"threshold_uncertainty_score":0.009079397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2257332437","doi":"10.1111/jmcb.12526","title":"Monetary Policy and Financial Stability: Cross‐Country Evidence","year":2018,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":28,"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; Financial stability; Inflation (cosmology); Economics; Taylor rule; Monetary economics; Financial crisis; Statutory law; Stability (learning theory); Central bank; Financial system; Macroeconomics","authors":[{"name":"Christian Friedrich","is_ca":true},{"name":"Rose Cunningham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03139070098864238,"gpt":0.2629933935880718,"spread":0.2316026925994294,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003106967,0.0002977881,0.0005568484,0.001089289,0.0003850356,0.001779674,0.0003990335,0.0006264063,0.00466702],"category_scores_gemma":[0.009535366,0.0002415516,0.0008082252,0.002164905,0.0009795518,0.0007256883,0.001229573,0.0009043322,0.0007432675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877243,"about_ca_system_score_gemma":0.0002531665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008103042,"about_ca_topic_score_gemma":0.006631117,"domain_scores_codex":[0.998329,0.0008735238,0.0001191793,0.0003212702,0.0001600292,0.0001969978],"domain_scores_gemma":[0.9720177,0.01492526,0.008415777,0.002057412,0.001567107,0.001016779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001047736,0.0002040316,0.9729975,0.0001370812,0.002626717,0.0002584056,0.0003109882,0.005634185,0.0003261607,0.00249302,0.001856256,0.01210776],"study_design_scores_gemma":[0.00007464879,0.0002139712,0.9909062,0.0001183469,0.00116592,0.0001297562,0.0006917584,0.002213433,0.0005998585,0.0009490611,0.002906077,0.00003097999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897474,0.003704398,0.0005913172,0.0006382943,0.00003811189,0.000007083911,0.0009130191,0.00001389135,0.004346525],"genre_scores_gemma":[0.9983087,0.0008046677,0.00007247025,0.00007938437,0.00002521848,0.000002785271,0.0004805159,0.000002992437,0.0002232117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008103042,"threshold_uncertainty_score":0.01643139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W324415387","doi":"10.1111/jmcb.12470","title":"International Transmission Channels of U.S. Quantitative Easing: Evidence from Canada","year":2018,"lang":"en","type":"article","venue":"Journal of money credit and banking","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":"Quantitative easing; Spillover effect; Economics; Counterfactual thinking; Asset (computer security); Zero lower bound; Great recession; Monetary economics; Vector autoregression; Financial crisis; Structural vector autoregression; Monetary policy; Federal funds; Recession; Macroeconomics; Keynesian economics; Central bank","authors":[{"name":"Tatjana Dahlhaus","is_ca":false},{"name":"Abeer Reza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09811231217924386,"gpt":0.2632291496237298,"spread":0.165116837444486,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001406052,0.0003060828,0.000326725,0.0009450858,0.001451915,0.001897344,0.0005842995,0.0004228812,0.003828579],"category_scores_gemma":[0.006736013,0.0001598128,0.0003211186,0.002728738,0.0009805388,0.0004642971,0.0007647962,0.0007550361,0.0001996604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01658954,"about_ca_system_score_gemma":0.02193369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9909976,"about_ca_topic_score_gemma":0.9892339,"domain_scores_codex":[0.9991497,0.000129152,0.0000308747,0.0001088049,0.0003199331,0.0002616131],"domain_scores_gemma":[0.9945322,0.001131821,0.0008747622,0.000267663,0.002818721,0.0003748408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00126247,0.000350538,0.8096385,0.0005276875,0.0006133814,0.0008392473,0.004978803,0.01171277,0.00194229,0.04261164,0.03231822,0.09320441],"study_design_scores_gemma":[0.0001372644,0.00008752377,0.9590175,0.000184706,0.0004744088,0.00007465002,0.004815964,0.007408807,0.00146559,0.002109236,0.02413491,0.00008953169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460392,0.002042149,0.0008335531,0.004224808,0.00005074045,0.00006387639,0.005509452,0.00005710459,0.04117919],"genre_scores_gemma":[0.9952881,0.001000824,0.0002569944,0.0001552945,0.00001139656,0.000005622393,0.0009223094,0.000008223375,0.002351161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01658954,"threshold_uncertainty_score":0.1203661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4288051725","doi":"10.1111/jmcb.12967","title":"Policy Uncertainty and Bank Mortgage Credit","year":2022,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canadian Bee Research Fund","keywords":"Loan; Mortgage loan; Identification (biology); Business; State (computer science); Financial system; Economics; Monetary economics; Finance; Computer science","authors":[{"name":"Gazi Ishak Kara","is_ca":false},{"name":"Youngsuk Yook","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02164793506245585,"gpt":0.2385201247589828,"spread":0.2168721896965269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763781,0.0001169473,0.0003685554,0.0004351873,0.0003732426,0.002167479,0.0002705999,0.0006388184,0.002795735],"category_scores_gemma":[0.01808117,0.0001707143,0.0001649942,0.0007484048,0.0007089793,0.0008807484,0.0008557591,0.0009171828,0.0002047699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001194559,"about_ca_system_score_gemma":0.0005238086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00637548,"about_ca_topic_score_gemma":0.004876077,"domain_scores_codex":[0.9988968,0.0004242176,0.0000735803,0.000188374,0.0002473479,0.0001696543],"domain_scores_gemma":[0.9735522,0.01272755,0.01111657,0.0006645852,0.001175588,0.0007635171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004574454,0.0003538642,0.8616674,0.0001319359,0.0003424474,0.0002889004,0.001279414,0.06442017,0.002243347,0.04144723,0.003876608,0.02349119],"study_design_scores_gemma":[0.00005083128,0.0001819248,0.864371,0.00009350097,0.000116396,0.0001134193,0.00185932,0.06882008,0.0021674,0.05412223,0.008037905,0.00006602429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870415,0.0009845113,0.002607266,0.002409575,0.00002332468,0.000009957941,0.0003738513,0.00002326825,0.006526724],"genre_scores_gemma":[0.9995522,0.00009585007,0.00006901873,0.00004545314,0.00001242872,0.000002450997,0.00003481791,0.000001397191,0.0001865147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00637548,"threshold_uncertainty_score":0.01267678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2174840502","doi":"10.1111/j.1538-4616.2007.00048.x","title":"Precautionary Balances and the Velocity of Circulation of Money","year":2007,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Economic theories and models","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":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Circulation (fluid dynamics); Economics; Monetary economics; Interest rate; Preference; Sample (material); Velocity of money; Econometrics; Monetary policy; Microeconomics; Mechanics; Endogenous money; Thermodynamics; Physics","authors":[{"name":"Miquel Faig","is_ca":true},{"name":"Belén Jerez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01966551488548144,"gpt":0.2129898593591088,"spread":0.1933243444736274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000738607,0.0002063502,0.0003054602,0.0009582553,0.0004587985,0.001855757,0.0004243228,0.0009246432,0.004386964],"category_scores_gemma":[0.0115788,0.0002881204,0.0002557754,0.0009788166,0.0008954829,0.001734715,0.0007669196,0.0009382765,0.0004359228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006204,"about_ca_system_score_gemma":0.0005946904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007010139,"about_ca_topic_score_gemma":0.004594659,"domain_scores_codex":[0.9998273,0.00004719868,0.00001205357,0.00003104328,0.00003085498,0.00005155388],"domain_scores_gemma":[0.9943356,0.002905918,0.001905268,0.0002991209,0.0002276295,0.0003264787],"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":[0.0009991599,0.0004314511,0.4287287,0.0001919913,0.0002097943,0.0009105665,0.002350871,0.1954609,0.005309354,0.3235103,0.003309844,0.03858719],"study_design_scores_gemma":[0.0001406916,0.0003599385,0.2761048,0.0001641738,0.0001335177,0.0008642649,0.00180131,0.3684081,0.00381423,0.3392455,0.008839118,0.0001243],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916643,0.00062661,0.002925195,0.0006890958,0.000008193237,0.000007926714,0.0002175386,0.00001709028,0.003844155],"genre_scores_gemma":[0.9983633,0.0002287592,0.0003053348,0.00001298284,0.00000936077,0.000004392479,0.00009320599,0.000003323715,0.0009792445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007010139,"threshold_uncertainty_score":0.01467586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972967560","doi":"10.1111/j.0022-2879.2007.00005.x","title":"Inflation Taxation and Welfare with Externalities and Leisure","year":2007,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Economics; Externality; Consumption (sociology); Welfare; Elasticity of substitution; Microeconomics; Inflation (cosmology); Monetary economics; Production (economics); Relative price; Capital (architecture); Market economy","authors":[{"name":"Wai‐Ming Ho","is_ca":true},{"name":"Jinli Zeng","is_ca":false},{"name":"Jie Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01950426294375482,"gpt":0.2082788406490081,"spread":0.1887745777052533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008188831,0.0004058981,0.0004138285,0.0004024564,0.000512508,0.002029796,0.000237602,0.001036614,0.003385487],"category_scores_gemma":[0.002999288,0.0002159367,0.0005749612,0.0006110484,0.001527429,0.00250556,0.001569722,0.001312663,0.0002454399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012096,"about_ca_system_score_gemma":0.001094294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726218,"about_ca_topic_score_gemma":0.003551726,"domain_scores_codex":[0.999595,0.0001740678,0.00001352417,0.00003462645,0.00004316854,0.0001396992],"domain_scores_gemma":[0.998738,0.0005803298,0.000356908,0.0001030894,0.000106039,0.0001155888],"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":[0.0004194376,0.0003835692,0.035673,0.0001374608,0.0001986741,0.0006348284,0.0004902011,0.1512679,0.002137642,0.7793471,0.00251245,0.02679773],"study_design_scores_gemma":[0.00009199929,0.0001344634,0.0235484,0.0001202601,0.0001123723,0.0002687915,0.0005840616,0.07336687,0.001122219,0.8920894,0.008518705,0.00004245078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8740265,0.003537446,0.03565082,0.01031664,0.0001096446,0.00003705434,0.0002854453,0.00008538789,0.07595105],"genre_scores_gemma":[0.9910572,0.001225641,0.0008377169,0.0002415987,0.0000462866,0.00001233552,0.00005223579,0.00001374264,0.006513251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004726218,"threshold_uncertainty_score":0.01459879,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1848581994","doi":"10.1111/jmcb.12179","title":"Are Professional Macroeconomic Forecasters Able To Do Better Than Forecasting Trends?","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Survey of Professional Forecasters; Quarter (Canadian coin); Consensus forecast; Variable (mathematics); Econometrics; Economics; Monetary policy; Macroeconomics; Mathematics; Geography","authors":[{"name":"Michael P. Clements","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1245070887510419,"gpt":0.2579141926995278,"spread":0.1334071039484859,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02851648,0.0004335052,0.0007666489,0.001916162,0.0008958887,0.006066566,0.0007637984,0.003387754,0.009419546],"category_scores_gemma":[0.2046513,0.0003980559,0.0005257099,0.001992374,0.002201285,0.01103857,0.00116867,0.002014007,0.005144497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008272246,"about_ca_system_score_gemma":0.001657019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00547326,"about_ca_topic_score_gemma":0.004956915,"domain_scores_codex":[0.9906046,0.004477601,0.0006990585,0.001151317,0.002143082,0.0009243127],"domain_scores_gemma":[0.8261762,0.09395033,0.02849171,0.02085002,0.02254769,0.007983987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008540105,0.0005404798,0.4880485,0.0005866685,0.0005100147,0.0003058284,0.004980033,0.006222157,0.0006295919,0.01304385,0.07407793,0.410201],"study_design_scores_gemma":[0.0005030716,0.001574871,0.6270715,0.001602342,0.0005535588,0.001514038,0.02352708,0.04280985,0.00301429,0.1668333,0.130408,0.0005881099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6898303,0.01060588,0.0254897,0.1621133,0.002017824,0.0001282177,0.003010101,0.001024634,0.10578],"genre_scores_gemma":[0.9743704,0.003743089,0.005557155,0.009505313,0.000976908,0.00004816238,0.0009306336,0.00009138916,0.004777052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02851648,"threshold_uncertainty_score":0.1508114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025459163","doi":"10.1111/j.1538-4616.2011.00430.x","title":"Fundamentals, Misvaluation, and Business Investment","year":2011,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Investment (military); Econometrics; Investment decisions; Economics; Measure (data warehouse); Microeconomics; Computer science; Data mining; Behavioral economics; Political science","authors":[{"name":"Robert S. Chirinko","is_ca":false},{"name":"Huntley Schaller","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04392532917562539,"gpt":0.2151088208104069,"spread":0.1711834916347815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00137023,0.0001456056,0.0002426302,0.0006767372,0.0001655909,0.001594845,0.0002499915,0.0006605617,0.002019853],"category_scores_gemma":[0.01044761,0.0001970931,0.0002071273,0.0007025379,0.0005240576,0.00137754,0.0004211831,0.0009027533,0.0002901219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743014,"about_ca_system_score_gemma":0.000207802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003615359,"about_ca_topic_score_gemma":0.004817974,"domain_scores_codex":[0.9997062,0.0000599932,0.00004201835,0.00006022628,0.00007084632,0.0000606608],"domain_scores_gemma":[0.9749898,0.0059232,0.01653169,0.0007953494,0.0007607476,0.0009993142],"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":[0.0001095212,0.00009739887,0.9856899,0.00002792255,0.00009848638,0.0001082961,0.0001226706,0.0009912743,0.0005546509,0.002455999,0.0005467796,0.009197054],"study_design_scores_gemma":[0.00000598534,0.00004529886,0.9959742,0.00001037505,0.00002117015,0.00006265155,0.00008618935,0.0009991826,0.000198857,0.001926039,0.0006620529,0.000007928667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942971,0.001268751,0.0002318015,0.0009288611,0.00001070054,0.000004718142,0.0002578339,0.00000609051,0.002994166],"genre_scores_gemma":[0.9989101,0.0004336663,0.0000721437,0.00006736009,0.00002721612,0.000001397098,0.0001693778,0.00000139132,0.0003173745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003615359,"threshold_uncertainty_score":0.007246614,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128914791","doi":"10.1111/jmcb.12759","title":"Uncovered Interest Parity, Forward Guidance and the Exchange Rate","year":2020,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":22,"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; Economics; Exchange rate; Parity (physics); International Fisher effect; Econometrics; Interest rate; Real interest rate; Monetary economics; Nominal interest rate; Physics","authors":[{"name":"Jordi Galı́","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0942516558695668,"gpt":0.2339786912217496,"spread":0.1397270353521828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002809119,0.0002395041,0.0004878425,0.00064566,0.0002185413,0.001713476,0.0003395338,0.0004988118,0.003785483],"category_scores_gemma":[0.02714688,0.0001251454,0.0001956042,0.0008655476,0.001169648,0.001409557,0.0009208733,0.00105967,0.0003841313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005827203,"about_ca_system_score_gemma":0.0003820077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002180095,"about_ca_topic_score_gemma":0.0007686957,"domain_scores_codex":[0.9991946,0.0003698552,0.00006815603,0.00009762268,0.000187945,0.00008181829],"domain_scores_gemma":[0.9758611,0.0134016,0.00796206,0.0009589923,0.001034408,0.0007818096],"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":[0.005626876,0.0003786788,0.6900992,0.0003486308,0.0002953832,0.003119088,0.0008223287,0.02917871,0.005091897,0.154018,0.004613499,0.1064077],"study_design_scores_gemma":[0.0004527446,0.001337793,0.6851411,0.0001627366,0.0002318322,0.001447527,0.001415515,0.05919602,0.003925005,0.2375769,0.009010786,0.0001019499],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842672,0.000767396,0.003157977,0.002040187,0.00007229677,0.00001028051,0.0005031667,0.00002798134,0.009153573],"genre_scores_gemma":[0.9993058,0.0001150252,0.0001454863,0.00004024412,0.00002042872,0.000001754835,0.00009839385,0.000003200655,0.0002697168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003785483,"threshold_uncertainty_score":0.01485622,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122227837","doi":"10.1111/jmcb.12225","title":"The Monitoring Incentive of Transactional and Relationship Lenders: Evidence from the Syndicated Loan Market","year":2015,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":21,"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":"Syndicated loan; Transactional leadership; Business; Loan; Incentive; Financial system; Monetary economics; Finance; Economics; Microeconomics","authors":[{"name":"Yutao Li","is_ca":false},{"name":"Anthony Saunders","is_ca":false},{"name":"Pei Shao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.073180907843349,"gpt":0.2576860252808609,"spread":0.1845051174375119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002129375,0.0001297588,0.0004042099,0.0009316214,0.0005192462,0.001571738,0.0005664218,0.0008070082,0.00639176],"category_scores_gemma":[0.01233437,0.0002044235,0.0002133543,0.001250857,0.000964901,0.001403696,0.001300889,0.0008593611,0.0006603436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487667,"about_ca_system_score_gemma":0.0002818373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003770307,"about_ca_topic_score_gemma":0.004335573,"domain_scores_codex":[0.9991399,0.0002419329,0.00008751513,0.0001861391,0.0001974094,0.0001470445],"domain_scores_gemma":[0.9629695,0.00833042,0.02240327,0.001765326,0.001295869,0.003235647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005878075,0.00051075,0.9834902,0.00004351427,0.00009159375,0.0002805552,0.001080528,0.0002334779,0.0008250005,0.001119873,0.0005560673,0.01118058],"study_design_scores_gemma":[0.00004996646,0.0001626878,0.9958032,0.00001631768,0.00003732887,0.0001354185,0.001187024,0.0008598307,0.0002293609,0.0006455829,0.0008639084,0.000009478898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983778,0.000128322,0.00009876679,0.0001705414,0.000002860005,0.000006586433,0.0001187658,0.000002798212,0.001093491],"genre_scores_gemma":[0.9992666,0.00007267447,0.00004436963,0.00003062811,0.00001244063,0.000003759431,0.0001269296,0.000001356785,0.0004413802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00639176,"threshold_uncertainty_score":0.02138257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039709163","doi":"10.1111/j.1538-4616.2010.00323.x","title":"Oil Price Uncertainty","year":2010,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Oil price; Volatility (finance); Shock (circulatory); Monetary economics; Investment (military); Econometrics; Consumption (sociology); Financial economics","authors":[{"name":"John P. Elder","is_ca":false},{"name":"Apostolos Serletis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01551966393478701,"gpt":0.2155374205065058,"spread":0.2000177565717187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008285989,0.000326701,0.0004665476,0.0005166191,0.0003310087,0.002378503,0.0004061388,0.000700661,0.0069665],"category_scores_gemma":[0.0121564,0.0001954653,0.0003728881,0.000851611,0.0004897607,0.002657674,0.0007833951,0.001143316,0.0006708583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008360274,"about_ca_system_score_gemma":0.0004790373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233984,"about_ca_topic_score_gemma":0.001245547,"domain_scores_codex":[0.9992477,0.0001035608,0.00005514854,0.0001363182,0.0003633939,0.00009390311],"domain_scores_gemma":[0.9963988,0.001890303,0.0009354316,0.0002664848,0.0003910348,0.0001179297],"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":[0.0005805797,0.0001206844,0.08773327,0.0003611627,0.0003480438,0.001161631,0.0007120083,0.1406586,0.004789596,0.610399,0.01189788,0.1412376],"study_design_scores_gemma":[0.00003516077,0.0001416887,0.04558991,0.0001160497,0.000167636,0.0006022302,0.0007685292,0.08791979,0.00606181,0.8052021,0.05326178,0.0001332447],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6637055,0.01079951,0.1194769,0.0124268,0.0008657864,0.00007678592,0.004765433,0.0003221495,0.1875612],"genre_scores_gemma":[0.9925904,0.001485794,0.001094747,0.0001582587,0.0001526674,0.00001045817,0.0004536695,0.00001242209,0.004041554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0069665,"threshold_uncertainty_score":0.0233053,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2035726684","doi":"10.1111/j.1538-4616.2008.00125.x","title":"Monitoring and Forecasting Currency Crises","year":2008,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Currency; Currency crisis; Warning system; Economics; Index (typography); Economic indicator; Early warning system; Econometrics; Financial crisis; Monetary economics; Macroeconomics; Computer science","authors":[{"name":"Atsushi Inoue","is_ca":true},{"name":"Barbara Rossi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1787940693999476,"gpt":0.252098618423366,"spread":0.07330454902341837,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002759699,0.0007105126,0.0007440491,0.001951557,0.0001845729,0.001235743,0.0003447605,0.0006237964,0.0009223326],"category_scores_gemma":[0.01337982,0.0002775627,0.0002324033,0.001205765,0.0002243107,0.002176739,0.0007584369,0.001015004,0.0003768311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650422,"about_ca_system_score_gemma":0.0003371196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003302689,"about_ca_topic_score_gemma":0.003083434,"domain_scores_codex":[0.9993857,0.0002983634,0.00005017358,0.00009818659,0.0001121498,0.00005548854],"domain_scores_gemma":[0.9946721,0.003111725,0.000980933,0.000215943,0.0008101457,0.0002092205],"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":[0.0007085813,0.0002667844,0.4395541,0.0003069997,0.0003289518,0.00008991615,0.0002539683,0.1696307,0.004359816,0.003321038,0.005876531,0.3753026],"study_design_scores_gemma":[0.00008974454,0.0002156499,0.1312891,0.00009993049,0.0001327861,0.00009046368,0.0002592796,0.8516549,0.005255239,0.007590524,0.003254949,0.00006733585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9067356,0.004596385,0.07739978,0.002383203,0.000182409,0.00006156619,0.001406215,0.000854687,0.006380118],"genre_scores_gemma":[0.9820499,0.001277511,0.01526724,0.00007034032,0.0001312498,0.0000237408,0.0006936874,0.00001487843,0.0004715223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003302689,"threshold_uncertainty_score":0.01459485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2274206508","doi":"10.1111/jmcb.12416","title":"House Prices and Government Spending Shocks","year":2017,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg; Carleton University; Toronto Metropolitan University; Bank of Canada; Université de Sherbrooke","funders":"","keywords":"Dynamic stochastic general equilibrium; Economics; Government spending; Government (linguistics); Value (mathematics); Monetary economics; Collateralized debt obligation; House price; Demand shock; Shadow (psychology); Macroeconomics; Econometrics; Keynesian economics; Monetary policy; Finance; Welfare; Market economy","authors":[{"name":"Hashmat Khan","is_ca":true},{"name":"Abeer Reza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03244525594465201,"gpt":0.2258725815585461,"spread":0.1934273256138941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002872712,0.0003203951,0.0003498986,0.0002888498,0.0002084237,0.001217381,0.0002575203,0.0006471845,0.002822618],"category_scores_gemma":[0.002886146,0.000183093,0.0002768885,0.0006177756,0.0004921863,0.0007216168,0.000575254,0.000904576,0.0002784559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008133906,"about_ca_system_score_gemma":0.0003013625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009842515,"about_ca_topic_score_gemma":0.007455691,"domain_scores_codex":[0.9998631,0.00003650543,0.000008597221,0.00003454663,0.000021258,0.00003600687],"domain_scores_gemma":[0.9988962,0.0003695551,0.00049853,0.00008618563,0.00008091166,0.00006853518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004214197,0.0001860411,0.2795494,0.0001328639,0.000368366,0.0009913067,0.0005383473,0.4442981,0.003958551,0.2316431,0.01004943,0.02786309],"study_design_scores_gemma":[0.00005538857,0.0001324983,0.1818664,0.00004677379,0.0001028084,0.0002878822,0.000461783,0.6383838,0.002377827,0.1673112,0.008895606,0.00007797487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680577,0.00052048,0.01875777,0.002212209,0.00006571465,0.00001037534,0.001415302,0.0001008506,0.008859642],"genre_scores_gemma":[0.9979181,0.0002174066,0.000453718,0.00005581873,0.00001564931,0.000004518336,0.0003584153,0.00000643605,0.0009698374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009842515,"threshold_uncertainty_score":0.01957047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2504037630","doi":"10.1111/jmcb.12493","title":"The Real‐Time Properties of the Bank of Canada's Staff Output Gap Estimates","year":2018,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Output gap; Predictability; Inflation (cosmology); Recession; Economics; Potential output; Econometrics; Phillips curve; Sample (material); Macroeconomics; Monetary policy; Statistics; Mathematics; Physics","authors":[{"name":"Julien Champagne","is_ca":false},{"name":"Guillaume Poulin‐Bellisle","is_ca":false},{"name":"Rodrigo Sekkel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04927596399967737,"gpt":0.2054115448854269,"spread":0.1561355808857496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01078299,0.000306729,0.0005849238,0.003222956,0.0009084109,0.002376804,0.001119264,0.0005164965,0.001570353],"category_scores_gemma":[0.08120131,0.0002995715,0.0003190965,0.004452265,0.0007936413,0.0007162003,0.000843729,0.001092051,0.0003734323],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007731136,"about_ca_system_score_gemma":0.00938283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9034551,"about_ca_topic_score_gemma":0.820136,"domain_scores_codex":[0.9942266,0.00077897,0.0003606704,0.0005789109,0.003423085,0.0006317274],"domain_scores_gemma":[0.9205909,0.02314617,0.01327745,0.005063114,0.0364557,0.001466523],"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":[0.0004607214,0.00002951496,0.8747974,0.0001548303,0.0003182238,0.0002178728,0.00184172,0.03491895,0.0006475667,0.00563426,0.01814254,0.06283645],"study_design_scores_gemma":[0.00001950211,0.00003446792,0.9407048,0.0001158389,0.00006748968,0.0001151035,0.0008690605,0.04395005,0.001390716,0.001260877,0.0113873,0.00008479904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702733,0.001769846,0.005723951,0.001911789,0.0001083454,0.00004107744,0.01164153,0.0002191197,0.008311063],"genre_scores_gemma":[0.9926215,0.000260152,0.0009114832,0.00005975592,0.00002449849,0.000009248662,0.004923913,0.00003809138,0.001151186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922689,"threshold_uncertainty_score":0.1942268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109037596","doi":"10.1111/j.0022-2879.2007.00032.x","title":"Temporal Patterns in Foreign Exchange Returns and Options","year":2007,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ivey Foundation; Western University","funders":"","keywords":"Foreign exchange market; Foreign exchange; Spot contract; Financial market; Financial economics; Exchange rate; Business; Economics; Monetary economics; Finance; Futures contract","authors":[{"name":"Maxime Charlebois","is_ca":true},{"name":"Stephen G. Sápp","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02809540691412411,"gpt":0.2358089957692971,"spread":0.2077135888551729,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366901,0.0001489342,0.0002002833,0.00107771,0.0001219936,0.0007544646,0.000223325,0.0004506845,0.002111206],"category_scores_gemma":[0.01345364,0.000104547,0.0001730323,0.001160721,0.0002177752,0.00120714,0.0003231215,0.0004538917,0.0002873145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525161,"about_ca_system_score_gemma":0.0001153526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002567979,"about_ca_topic_score_gemma":0.002626238,"domain_scores_codex":[0.9997359,0.00007881778,0.00003272546,0.0000476565,0.00007400447,0.000030805],"domain_scores_gemma":[0.993832,0.003098957,0.002064242,0.000328856,0.0004574441,0.0002184084],"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":[0.0004382934,0.0001307797,0.9413351,0.00004426563,0.0001411888,0.0004220364,0.0004478662,0.01181196,0.00279173,0.007518398,0.0005017674,0.03441674],"study_design_scores_gemma":[0.00001106632,0.00009510887,0.9616615,0.00002343059,0.00002467855,0.0003856162,0.0003009349,0.02931242,0.0007589096,0.006338049,0.001068696,0.00001964315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963782,0.0002391124,0.00112019,0.0001449127,0.000006185068,0.00000516364,0.0002863812,0.00001065173,0.00180926],"genre_scores_gemma":[0.9990338,0.00009840328,0.0002424839,0.00001035866,0.000006850145,0.000002470254,0.000228683,0.000002268744,0.0003746755],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002567979,"threshold_uncertainty_score":0.007228911,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104450487","doi":"10.1111/jmcb.12004","title":"A Model of Tiered Settlement Networks","year":2013,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":17,"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":"Settlement (finance); Clearing; Payment; Intermediation; Welfare; Business; Economies of scale; Economics; Public economics; Microeconomics; Finance; Market economy","authors":[{"name":"James Chapman","is_ca":true},{"name":"Jonathan Chiu","is_ca":true},{"name":"Miguel Molico","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02836280453668745,"gpt":0.2183796726020283,"spread":0.1900168680653408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270386,0.0005858322,0.0009128232,0.0008508777,0.001611161,0.004554016,0.003021942,0.00395791,0.03299979],"category_scores_gemma":[0.004364211,0.0006385616,0.001001652,0.002054249,0.002259617,0.00574288,0.002019475,0.00207051,0.00356807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002427303,"about_ca_system_score_gemma":0.001672811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008366781,"about_ca_topic_score_gemma":0.005260857,"domain_scores_codex":[0.9985058,0.0004013724,0.00008126352,0.0004421549,0.0002628643,0.0003065543],"domain_scores_gemma":[0.9972321,0.000984409,0.0004960444,0.0003228943,0.0004504442,0.0005140397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001030904,0.00007691808,0.0008744906,0.00006005041,0.00003098919,0.0004462195,0.0002464545,0.1194389,0.0009111402,0.8669389,0.004968484,0.005904315],"study_design_scores_gemma":[0.0001836109,0.00008377866,0.000692773,0.00003930613,0.00003257213,0.0003625071,0.0002273967,0.5072777,0.0002632744,0.471367,0.01942731,0.00004273979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1873675,0.001521516,0.5814623,0.008361421,0.0003989859,0.0004435137,0.003753708,0.000935638,0.2157554],"genre_scores_gemma":[0.8506009,0.0008758061,0.03751844,0.0004497991,0.0001655173,0.0002874195,0.0006449777,0.00006566053,0.1093916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03299979,"threshold_uncertainty_score":0.1103953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139351976","doi":"10.1111/j.1538-4616.2011.00392.x","title":"Monetary Policy in the Media","year":2006,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bank of Canada","funders":"","keywords":"Credibility; Monetary policy; Inflation (cosmology); Media coverage; Monetary economics; Central bank; Economics; Private information retrieval; Inflation targeting; Business; Political science; Computer science; Computer security","authors":[{"name":"Helge Berger","is_ca":false},{"name":"Michael Ehrmann","is_ca":true},{"name":"Marcel Fratzscher","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0217854767597696,"gpt":0.2982299394082893,"spread":0.2764444626485197,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001473192,0.0002731054,0.0002595989,0.002480282,0.001927736,0.009817064,0.0002631826,0.002566394,0.0239307],"category_scores_gemma":[0.009658365,0.000236373,0.0001769338,0.002422683,0.002255211,0.00490936,0.001387706,0.001928496,0.001882882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123564,"about_ca_system_score_gemma":0.001086509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004172148,"about_ca_topic_score_gemma":0.004168874,"domain_scores_codex":[0.9985468,0.000724383,0.0000461938,0.000149232,0.0002954598,0.0002378986],"domain_scores_gemma":[0.9929569,0.004287001,0.001042653,0.0002772427,0.0008225964,0.0006137413],"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":[0.0005437583,0.0002922471,0.03652147,0.0003145444,0.0001123829,0.0005458966,0.006541577,0.001315394,0.002169345,0.7496995,0.06922902,0.1327149],"study_design_scores_gemma":[0.000131464,0.0002239188,0.1183182,0.001227915,0.0002049384,0.0004166874,0.01394085,0.003864466,0.002944988,0.3001649,0.5584625,0.00009930313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1679085,0.02093214,0.001428756,0.1217155,0.001393768,0.00002371862,0.0005299053,0.00005927652,0.6860085],"genre_scores_gemma":[0.9701664,0.00579449,0.0001325076,0.003271201,0.002190376,0.00001625208,0.0000515622,0.00001799553,0.01835923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0239307,"threshold_uncertainty_score":0.08005619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124498176","doi":"10.1111/j.1538-4616.2012.00562.x","title":"Why Is Canada's Price Level So Predictable?","year":2013,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Economics; Path (computing); Bayesian probability; Econometrics; Price level; Interest rate; Estimation; Keynesian economics; Macroeconomics; Statistics; Mathematics; Computer science","authors":[{"name":"Ondra Kamenik","is_ca":false},{"name":"Heesun Kiem","is_ca":false},{"name":"Vladimir Klyuev","is_ca":false},{"name":"Douglas Laxton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05032050415554708,"gpt":0.2003919202147128,"spread":0.1500714160591657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025379,0.0002115773,0.0003695583,0.0008991846,0.003305319,0.004638452,0.00101885,0.001168574,0.004865025],"category_scores_gemma":[0.01020557,0.0002461648,0.0003833459,0.002831082,0.001751514,0.00122775,0.0007318544,0.001787973,0.0006950208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02693186,"about_ca_system_score_gemma":0.03739183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.981641,"about_ca_topic_score_gemma":0.9749595,"domain_scores_codex":[0.9981268,0.00009349369,0.0000499889,0.0003387621,0.0008687258,0.0005222393],"domain_scores_gemma":[0.9942984,0.0005585313,0.0008163184,0.0002299593,0.003442945,0.0006538969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003773376,0.00005782646,0.5854355,0.0002494355,0.0003901435,0.001557328,0.003693867,0.008137071,0.001856799,0.1151787,0.1623978,0.1206682],"study_design_scores_gemma":[0.00007951829,0.0000886902,0.7357061,0.0002868283,0.0001796925,0.0005787358,0.009291973,0.01795176,0.002566717,0.04652742,0.1863825,0.0003600338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5474009,0.006383001,0.008617586,0.2332099,0.001364196,0.00007773637,0.0132358,0.0007059327,0.1890049],"genre_scores_gemma":[0.9903627,0.001219809,0.0004586182,0.002703736,0.0001214765,0.00000539917,0.0008676061,0.00005799287,0.004202673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02693186,"threshold_uncertainty_score":0.1954052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2299124769","doi":"10.1111/jmcb.12309","title":"Improving Overnight Loan Identification in Payments Systems","year":2016,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Loan; Identification (biology); Monetary economics; Database transaction; Payment; Upper and lower bounds; Business; Transaction data; Econometrics; Permutation (music); Economics; Actuarial science; Computer science; Finance; Mathematics; Database","authors":[{"name":"Mark Rempel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01765059573642699,"gpt":0.218828136980708,"spread":0.201177541244281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008932534,0.0005675406,0.001398842,0.001784818,0.00128029,0.002358432,0.001284199,0.001566574,0.003604694],"category_scores_gemma":[0.06362164,0.0006027412,0.0007673161,0.001670193,0.0007808689,0.00377974,0.002761356,0.001619223,0.001953826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046341,"about_ca_system_score_gemma":0.002378781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01003905,"about_ca_topic_score_gemma":0.006451821,"domain_scores_codex":[0.9913119,0.005544113,0.0004755606,0.00109585,0.0009802365,0.0005923281],"domain_scores_gemma":[0.9637151,0.02693754,0.001765827,0.003337362,0.00373367,0.0005103407],"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":[0.0008201665,0.0004879138,0.07953625,0.0002973813,0.000226859,0.0002525778,0.001397707,0.2326925,0.005885241,0.02695662,0.006954619,0.6444921],"study_design_scores_gemma":[0.00003484052,0.000111817,0.01075175,0.00003319494,0.00002827953,0.0001058159,0.0002916794,0.9543625,0.002545414,0.02944716,0.002248393,0.00003918626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2500126,0.0005474019,0.7427289,0.0008788497,0.00009654904,0.0001640332,0.000318306,0.001580156,0.003673222],"genre_scores_gemma":[0.8282159,0.0002011617,0.1681681,0.0001181059,0.0001049001,0.00007759412,0.0006052457,0.00008676233,0.002422251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01003905,"threshold_uncertainty_score":0.04724032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009740554","doi":"10.1111/j.1538-4616.2009.00241.x","title":"The Response of Hours to a Technology Shock: A Two‐Step Structural VAR Approach","year":2009,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":16,"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":"Dynamic stochastic general equilibrium; Technology shock; Shock (circulatory); Econometrics; Simple (philosophy); Computer science; Economics; Monetary policy; Macroeconomics","authors":[{"name":"Patrick Fève","is_ca":false},{"name":"Alain Guay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03232216493888412,"gpt":0.240783120171744,"spread":0.2084609552328599,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668596,0.0006666261,0.0008505255,0.0007305054,0.0002262246,0.0009118532,0.001416859,0.001285178,0.003699134],"category_scores_gemma":[0.006555356,0.000606071,0.001070535,0.0006305639,0.0003727638,0.0009001739,0.001214025,0.001619017,0.0006223803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004091671,"about_ca_system_score_gemma":0.0006287346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003359192,"about_ca_topic_score_gemma":0.002659025,"domain_scores_codex":[0.9993874,0.0003100133,0.00002328799,0.0001163713,0.00009782644,0.0000651958],"domain_scores_gemma":[0.9969863,0.002274391,0.0002093827,0.0002179513,0.0002430187,0.00006891861],"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":[0.0001603202,0.0001328283,0.006596216,0.00007939418,0.0002761892,0.0001622721,0.0001148522,0.9408946,0.002625661,0.02137019,0.0009884419,0.02659908],"study_design_scores_gemma":[0.00001521784,0.00004988162,0.001381224,0.000004696214,0.00002013125,0.00001334254,0.00001274168,0.9932784,0.0003692869,0.004563702,0.0002759593,0.00001548779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2231112,0.0002392277,0.7696554,0.00106494,0.0001059307,0.000162385,0.0005884817,0.0004523209,0.004620132],"genre_scores_gemma":[0.9386894,0.0002648405,0.05247803,0.0002221552,0.0001023087,0.0002157893,0.000954368,0.00007985636,0.006993304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003699134,"threshold_uncertainty_score":0.01237482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367367797","doi":"10.1111/jmcb.13050","title":"Managing Bubbles in Experimental Asset Markets with Monetary Policy","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":15,"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; Interest rate; Economics; Asset (computer security); Monetary economics; Proxy (statistics); Computer science","authors":[{"name":"Myrna Hennequin","is_ca":true},{"name":"Cars Hommes","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02329451281202951,"gpt":0.2316763465014468,"spread":0.2083818336894173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002139769,0.0005190147,0.0006997428,0.0002158906,0.0003106688,0.0008922861,0.0007249673,0.001135039,0.004645449],"category_scores_gemma":[0.009070016,0.0002896291,0.0003228078,0.0001866024,0.001103719,0.0009544512,0.0007839339,0.001594616,0.0003164891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004245356,"about_ca_system_score_gemma":0.0005264435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008034475,"about_ca_topic_score_gemma":0.0004682455,"domain_scores_codex":[0.9992976,0.0003150824,0.00006718595,0.0001018531,0.0001117337,0.0001065287],"domain_scores_gemma":[0.9912425,0.006380392,0.001089972,0.0006450607,0.0002523987,0.0003896666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.05636914,0.06450597,0.02467901,0.002796028,0.001137161,0.001260664,0.00238705,0.2188587,0.4657731,0.05807631,0.005939294,0.09821765],"study_design_scores_gemma":[0.01686487,0.05956868,0.01702166,0.0002477705,0.0006416187,0.0003296146,0.0007665092,0.5704001,0.1891168,0.1340213,0.01068246,0.0003385048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904857,0.0001714356,0.006279785,0.0004792602,0.0001647441,0.0001725703,0.0001443029,0.0001183001,0.001983952],"genre_scores_gemma":[0.9951108,0.0000950886,0.003409276,0.0002017604,0.00004087354,0.000271425,0.00007412248,0.00002021366,0.0007763644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004645449,"threshold_uncertainty_score":0.01554054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019253315","doi":"10.1111/j.1538-4616.2008.00119.x","title":"Testing Commitment Models of Monetary Policy: Evidence from OECD Economies","year":2008,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Economics; Inflation (cosmology); Monetary policy; Fell; Inflation targeting; Exchange rate; Baseline (sea); Monetary economics; Macroeconomics; International economics","authors":[{"name":"Matthew Doyle","is_ca":true},{"name":"Barry Falk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1642422548339104,"gpt":0.2492158543878633,"spread":0.08497359955395298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02072966,0.000548412,0.0007662176,0.001168216,0.0009990642,0.00265514,0.00148272,0.001395703,0.005102856],"category_scores_gemma":[0.08403138,0.000336055,0.000780854,0.002558673,0.002599554,0.002256371,0.001945123,0.001871486,0.0008923996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002955124,"about_ca_system_score_gemma":0.001733792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03100173,"about_ca_topic_score_gemma":0.01133224,"domain_scores_codex":[0.9930794,0.004754221,0.0003710531,0.0004863073,0.0009394155,0.0003696515],"domain_scores_gemma":[0.8647094,0.1064448,0.01420907,0.007064049,0.006539077,0.001033658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005313812,0.001593599,0.6717436,0.001075548,0.002628897,0.001441749,0.004064795,0.08835285,0.0004164636,0.1001569,0.01961674,0.1035951],"study_design_scores_gemma":[0.002609578,0.001833648,0.5726874,0.0009741889,0.002371968,0.0006763311,0.01433566,0.15882,0.00356785,0.2030742,0.03876723,0.0002819813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509364,0.003043824,0.003962699,0.004104749,0.00006743327,0.00005076179,0.0008559797,0.00007889088,0.03689925],"genre_scores_gemma":[0.9960021,0.00145923,0.0006197214,0.0004147737,0.00003668751,0.00002687712,0.0008282866,0.00001918613,0.0005930428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03100173,"threshold_uncertainty_score":0.1096302,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3156083275","doi":"10.1111/jmcb.13023","title":"Revolving versus Convenience Use of Credit Cards: Evidence from U.S. Credit Bureau Data","year":2023,"lang":"en","type":"article","venue":"Journal of money credit and banking","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Credit card; Credit history; Credit card interest; Debt; Credit reference; Payment; Revolving door; Credit score; Quarter (Canadian coin); Business; Credit default swap index; Actuarial science; Economics; Credit enhancement; Finance; Credit risk","authors":[{"name":"Scott Fulford","is_ca":false},{"name":"Scott Schuh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1322498426882874,"gpt":0.3056495240219533,"spread":0.1733996813336659,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01017696,0.0002097707,0.0003639528,0.003343287,0.0005294711,0.001973737,0.0009188377,0.0008376832,0.006475931],"category_scores_gemma":[0.06665346,0.000296892,0.0003826788,0.009342412,0.001001205,0.001157359,0.001236169,0.001329239,0.001239042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006937003,"about_ca_system_score_gemma":0.000608371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04531106,"about_ca_topic_score_gemma":0.03822073,"domain_scores_codex":[0.9934828,0.003259799,0.0007826599,0.000742957,0.001367721,0.0003641],"domain_scores_gemma":[0.806527,0.08832961,0.07918061,0.00927104,0.01302624,0.003665498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001376723,0.00007063126,0.9921311,0.00004022626,0.00007401789,0.00003963964,0.0004255524,0.0001481113,0.00002679726,0.0003618725,0.001816666,0.004727857],"study_design_scores_gemma":[0.00002330997,0.00005551305,0.9948072,0.0001037608,0.00005897027,0.00006554568,0.001480086,0.0009524766,0.0001309087,0.0002457761,0.002065282,0.00001112333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857671,0.0009062497,0.0003582474,0.001057271,0.00002018436,0.0000404453,0.006691526,0.00001520354,0.005143623],"genre_scores_gemma":[0.9935888,0.0006672334,0.0001860702,0.0002079858,0.00002696601,0.00002234222,0.004761145,0.00000794174,0.0005315044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04531106,"threshold_uncertainty_score":0.09009463,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}