{"meta":{"query_hash":"cc9fb261b3d4","filters":{"venue":"Applied Financial Economics"},"cohort_total":40,"direct_labels_cover":0,"predictions_cover":40,"exported":40,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/cc9fb261b3d4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Applied+Financial+Economics"},"results":[{"id":"W1965128784","doi":"10.1080/09603100801964412","title":"Disaggregating marketplace attitudes toward risk: a contingent-claim-based model","year":2009,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; Queen's University","funders":"","keywords":"Economics; Volatility (finance); Portfolio; Earnings; Econometrics; Downside risk; Operationalization; Portfolio insurance; Financial economics; Index (typography); Actuarial science; Replicating portfolio; Portfolio optimization","score_opus":0.024771321330313602,"score_gpt":0.20776930799554358,"score_spread":0.18299798666522998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965128784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73568696,0.0008708059,0.022191647,0.0011019628,0.00063677796,0.0008418122,0.00044496998,0.00025090956,0.23797415],"genre_scores_gemma":[0.9881588,0.0004895568,0.008135144,0.002417895,0.0003049373,0.00008157417,0.000049460235,0.00005504546,0.00030755118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970459,0.000014707535,0.0011907418,0.0009283197,0.000046295565,0.00077406625],"domain_scores_gemma":[0.99814075,0.00009993856,0.0009939687,0.00056009006,0.00003157831,0.00017369156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008415208,0.00047496922,0.0008677205,0.00022270784,0.000394224,0.0002494367,0.0005074518,0.00031876867,0.0001301628],"category_scores_gemma":[0.0002445114,0.0005950279,0.00027805794,0.00021327754,0.00015019203,0.00037233025,0.000070372116,0.00041014087,0.00030802237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018190805,0.00019622844,0.011497299,0.000033550277,0.000024866094,0.0000020498128,0.00022854623,0.01069677,0.000024643414,0.9665142,0.0016761038,0.008923832],"study_design_scores_gemma":[0.0035059815,0.00032912148,0.15543622,0.00006905146,0.000042382373,0.000002332815,0.0000743671,0.13858426,0.00040088786,0.6630117,0.036496032,0.0020476782],"about_ca_topic_score_codex":0.000082746046,"about_ca_topic_score_gemma":0.000091770955,"teacher_disagreement_score":0.3035025,"about_ca_system_score_codex":0.00026082326,"about_ca_system_score_gemma":0.00018783537,"threshold_uncertainty_score":0.9996501},"labels":[],"label_agreement":null},{"id":"W1976600461","doi":"10.1080/09603100600959860","title":"Modelling and forecasting long memory in exchange rate volatility vs. stable and integrated GARCH models","year":2008,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Lira; Economics; Econometrics; Volatility (finance); Heteroscedasticity; Conditional variance; Financial economics; Forward volatility; Exchange rate; Implied volatility; Monetary economics","score_opus":0.0796354091737243,"score_gpt":0.20102596193562378,"score_spread":0.12139055276189947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976600461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90575993,0.0017911784,0.08702861,0.0000632886,0.00015121304,0.00046239386,0.00011027455,0.000042106254,0.0045909947],"genre_scores_gemma":[0.9918363,0.0029837803,0.004634649,0.00015224099,0.00010637856,0.00006815615,0.000030384317,0.00005047704,0.00013765396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99722624,0.00001969384,0.0011839053,0.00091926963,0.000028842776,0.0006220443],"domain_scores_gemma":[0.9989848,0.00014740629,0.00035659107,0.00032952402,0.000039892835,0.00014175627],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013548664,0.00034509963,0.0008921595,0.00033514033,0.00033242986,0.000072010094,0.00017818474,0.00030781064,0.000022252287],"category_scores_gemma":[0.000097739234,0.00045624792,0.000072736686,0.00024206741,0.0001801807,0.0005748175,0.00018012006,0.00047312985,0.000013442322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010609489,0.0002582609,0.13118312,0.00039714054,0.000045291068,0.000028767121,0.009231488,0.50120735,0.000019922047,0.32289878,0.000110476074,0.033558466],"study_design_scores_gemma":[0.0009892649,0.000031892756,0.013707946,0.000022473787,0.0000036267725,0.0000059017507,0.000059319256,0.8956071,0.000033099448,0.088497914,0.00060299167,0.00043843317],"about_ca_topic_score_codex":0.0030407587,"about_ca_topic_score_gemma":0.0010102417,"teacher_disagreement_score":0.3943998,"about_ca_system_score_codex":0.00019493804,"about_ca_system_score_gemma":0.000108117616,"threshold_uncertainty_score":0.99978894},"labels":[],"label_agreement":null},{"id":"W1978535114","doi":"10.1080/09603100600749238","title":"Financial structure and economic growth: the role of heterogeneity1","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Financial structure; Financial system; Macroeconomics; Finance","score_opus":0.007932774212487542,"score_gpt":0.1741772540486516,"score_spread":0.16624447983616406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978535114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976744,0.0012600897,0.0005008008,0.00022118952,0.0007837184,0.00038976636,0.00047707703,0.000028781444,0.019594576],"genre_scores_gemma":[0.9979324,0.00026734755,0.00057701516,0.00041835086,0.00069375563,0.000016301661,0.000020410509,0.000041352374,0.00003310743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975936,0.000009330376,0.0011026841,0.00072181335,0.000018877281,0.0005536887],"domain_scores_gemma":[0.99843395,0.00015165239,0.0007273634,0.0005486734,0.00002052196,0.00011784749],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010649725,0.0003191426,0.00070413464,0.00019642053,0.00022956693,0.000059149337,0.00045518565,0.00030917558,0.00010374028],"category_scores_gemma":[0.000120049684,0.00034757916,0.00015377205,0.00010533632,0.00031633617,0.000231439,0.000185273,0.0003229253,0.00012598395],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009778784,0.000026437683,0.059891168,0.000017574128,0.000026614343,4.2225165e-7,0.00027677207,0.000054760312,0.00017960036,0.93061584,0.00011442536,0.008698598],"study_design_scores_gemma":[0.00080675713,0.000071545255,0.1396205,0.000004121507,0.0000147872115,0.000014240539,0.000058251273,0.000244754,0.017506614,0.78423935,0.056852143,0.000566943],"about_ca_topic_score_codex":0.00039020216,"about_ca_topic_score_gemma":0.0007468626,"teacher_disagreement_score":0.1463765,"about_ca_system_score_codex":0.00015390501,"about_ca_system_score_gemma":0.000105260726,"threshold_uncertainty_score":0.9998976},"labels":[],"label_agreement":null},{"id":"W1998495220","doi":"10.1080/09603101003652391","title":"Testing the effects of capital structure on entrepreneurial effort","year":2010,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Access Group Center for Research and Policy Analysis","keywords":"Capital structure; Debt; Entrepreneurship; Survey data collection; Venture capital; Corporate finance; Economics; Finance; Agency (philosophy); Work (physics); Equity (law); Accounting; Political science; Sociology","score_opus":0.004896425105736347,"score_gpt":0.15588841389537367,"score_spread":0.15099198878963732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998495220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916726,0.000004368895,0.000012861904,0.00008633984,0.0019571614,0.00030910617,0.000012233207,0.000029992429,0.0059153796],"genre_scores_gemma":[0.99624664,0.0000025450836,0.00007406258,0.00095172465,0.002655301,0.000018488623,0.000008950341,0.000020698879,0.00002158365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99923235,0.0000010344963,0.00023604237,0.000255659,0.00006477872,0.00021010423],"domain_scores_gemma":[0.99911076,0.00012191079,0.0004061814,0.000317457,0.00003647174,0.000007203805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000880487,0.0001662571,0.00020507313,0.000042694905,0.0001321087,0.00006378272,0.00029503068,0.00010610655,0.00002399494],"category_scores_gemma":[0.00020471563,0.00013608354,0.000058423626,0.00014427118,0.00007767304,0.00017704297,0.000088272325,0.0002652554,0.000072995594],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020114702,0.00008952547,0.059273876,0.00018076685,0.000016357157,0.000006424397,0.000078026256,0.0005974433,0.030918546,0.8494344,0.0022941143,0.056909382],"study_design_scores_gemma":[0.0014036312,0.000036086378,0.8979065,0.000030150526,0.000046787507,0.0000017145617,0.000008790986,0.0003083239,0.008487267,0.044076975,0.047303844,0.00038991784],"about_ca_topic_score_codex":0.0001688086,"about_ca_topic_score_gemma":0.00033397102,"teacher_disagreement_score":0.83863264,"about_ca_system_score_codex":0.00001165976,"about_ca_system_score_gemma":0.00005074339,"threshold_uncertainty_score":0.5549326},"labels":[],"label_agreement":null},{"id":"W2000741764","doi":"10.1080/09603100802599647","title":"Ownership structure and the likelihood of financial distress in the Netherlands","year":2009,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Financial distress; Shareholder; Distress; Economics; Stock exchange; Stock (firearms); Business; Empirical evidence; Finance; Financial system; Corporate governance; Psychology","score_opus":0.006469879803642236,"score_gpt":0.16848577366564527,"score_spread":0.16201589386200302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000741764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921625,0.00009425388,0.00006685907,0.0020014357,0.00013961857,0.0003029091,0.000024418117,0.000009796271,0.005198206],"genre_scores_gemma":[0.99415207,0.000059481314,0.000021502472,0.004908622,0.0008084817,0.00001379888,0.000014741517,0.000008034508,0.000013241649],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99919426,0.0000062648296,0.0002964406,0.00021085772,0.000065436056,0.00022671717],"domain_scores_gemma":[0.99933034,0.000058961024,0.00033734768,0.00024831432,0.000019930167,0.0000051024886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032724245,0.00015797814,0.00026765332,0.0000431625,0.000108370376,0.00008637111,0.0003583375,0.00010011495,0.000008231515],"category_scores_gemma":[0.000057142977,0.00009863839,0.000053023203,0.00022441855,0.00013353689,0.00020415327,0.00004325094,0.0002050997,0.000006412489],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005064691,0.00004622774,0.0142178815,0.000031953587,0.0000029294165,0.0000027695257,0.0003289794,0.00021740864,0.000033310138,0.9134407,0.0018378848,0.069333464],"study_design_scores_gemma":[0.0022443105,0.000012977346,0.785542,0.00001772961,0.000021756228,0.0000011541721,0.000053280477,0.00032909386,0.000036760677,0.18372852,0.027818598,0.00019381917],"about_ca_topic_score_codex":0.00022319357,"about_ca_topic_score_gemma":0.0011664614,"teacher_disagreement_score":0.7713241,"about_ca_system_score_codex":0.000013689778,"about_ca_system_score_gemma":0.000040536273,"threshold_uncertainty_score":0.4022357},"labels":[],"label_agreement":null},{"id":"W2005996603","doi":"10.1080/09603107.2011.605752","title":"Extreme risk measures for REITs: a comparison among alternative methods","year":2011,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Econometrics; Value at risk; Autoregressive conditional heteroskedasticity; Real estate investment trust; Extreme value theory; Volatility (finance); Economics; Expected shortfall; Exponential smoothing; Nonparametric statistics; Autoregressive model; Financial economics; Real estate; Actuarial science; Risk management; Statistics; Mathematics; Finance","score_opus":0.1156668148138413,"score_gpt":0.26546522820112695,"score_spread":0.14979841338728564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005996603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29656577,0.000266483,0.35500982,0.000035873287,0.0020151816,0.0010393272,0.00036324625,0.0001401514,0.34456414],"genre_scores_gemma":[0.8946652,0.0009819311,0.10285095,0.00022983146,0.0005610627,0.00034871433,0.000038547845,0.00011877283,0.00020498825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99685216,0.000030259629,0.0014663182,0.00094229163,0.000019187108,0.0006897615],"domain_scores_gemma":[0.9975599,0.00022402154,0.0013659041,0.000615905,0.00004555794,0.00018873067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021494776,0.00041074946,0.0011028642,0.00029768373,0.0003263122,0.0001080398,0.0005966853,0.0003602597,0.00017204203],"category_scores_gemma":[0.00035918332,0.0005473344,0.000329166,0.00013999741,0.00019792024,0.00032819883,0.00013286303,0.00035310775,0.0003294665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037187288,0.00019240675,0.04370323,0.00002361586,0.00015065177,7.072809e-7,0.0029034307,0.00052275916,0.000008621183,0.8208585,0.0011889527,0.13007529],"study_design_scores_gemma":[0.0022916433,0.00017882908,0.030472891,0.000013297433,0.00006305694,0.0000017596556,0.00025635233,0.025801096,0.0016409997,0.70702,0.2308916,0.0013684826],"about_ca_topic_score_codex":0.0006943816,"about_ca_topic_score_gemma":0.0005163701,"teacher_disagreement_score":0.5980994,"about_ca_system_score_codex":0.00028582447,"about_ca_system_score_gemma":0.00007317989,"threshold_uncertainty_score":0.9996978},"labels":[],"label_agreement":null},{"id":"W2010870951","doi":"10.1080/0960310042000187379","title":"Skewness in the conditional distribution of daily equity returns","year":2004,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Skewness; Kurtosis; Autoregressive conditional heteroskedasticity; Econometrics; Skew normal distribution; Conditional probability distribution; Economics; Leverage (statistics); Equity (law); Normal distribution; Financial economics; Mathematics; Statistics; Volatility (finance)","score_opus":0.03523733194947997,"score_gpt":0.2368642423782832,"score_spread":0.20162691042880324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010870951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949719,0.0001691606,0.038804024,0.00047286597,0.00026448764,0.0003327818,0.0008587175,0.000016193293,0.009362741],"genre_scores_gemma":[0.99864167,0.00013968718,0.00036551154,0.00030868317,0.00016005195,0.000056487268,0.00030503393,0.000014075448,0.00000880238],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983058,0.000007782415,0.0009334423,0.00038537756,0.000037202968,0.00033038264],"domain_scores_gemma":[0.9991185,0.0000662646,0.0003989076,0.00035159182,0.00002555199,0.000039198894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009855917,0.00016991755,0.0004410636,0.00009627965,0.00012703495,0.000038670303,0.0004126797,0.00020036532,0.000018465338],"category_scores_gemma":[0.00013916279,0.00018546736,0.00012713157,0.00023881794,0.00013796591,0.0001804706,0.0000930213,0.00027605557,0.0000930164],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043707583,0.000117742,0.0025778601,0.000016759781,0.0000044251415,8.367684e-7,0.0006028102,0.005244322,0.000008850343,0.99039626,0.000055659253,0.0009307823],"study_design_scores_gemma":[0.0009496841,0.000035435336,0.12628269,0.000009550844,0.0000037717043,0.000001769862,0.00008882418,0.0010264147,0.00013949981,0.86508363,0.006168818,0.00020990013],"about_ca_topic_score_codex":0.00047115205,"about_ca_topic_score_gemma":0.00044225002,"teacher_disagreement_score":0.12531261,"about_ca_system_score_codex":0.00026932405,"about_ca_system_score_gemma":0.00014315233,"threshold_uncertainty_score":0.756314},"labels":[],"label_agreement":null},{"id":"W2011455461","doi":"10.1080/09603100110091793","title":"Forward-looking agents and macroeconomic determinants of the equity price in a small open economy","year":2003,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Stock (firearms); Equity (law); Monetary economics; Macro; Open economy; Small open economy; Price level; Mid price; Short run; Monetary policy; Stock price; Financial economics; Macroeconomics; Econometrics; Exchange rate","score_opus":0.0324384022993672,"score_gpt":0.24339137410245804,"score_spread":0.21095297180309083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011455461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83818156,0.00008598514,0.00021979713,0.000056013978,0.00028401328,0.00080202695,0.00010267606,0.0000064750993,0.16026144],"genre_scores_gemma":[0.9982404,0.00014477209,0.0007622988,0.0004629485,0.000027543625,0.000097912656,0.0000037359998,0.00003326947,0.0002270991],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975447,0.000024528235,0.0012588227,0.00069038983,0.0000086815435,0.000472886],"domain_scores_gemma":[0.9982799,0.00009761065,0.00087853963,0.0006332901,0.000014761912,0.00009586103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017122697,0.00026390408,0.0008089341,0.0001453536,0.00014917702,0.00014378002,0.0008471121,0.00020726031,0.00012740084],"category_scores_gemma":[0.00015111749,0.0002986273,0.00012336655,0.00014999168,0.00013854964,0.00023699473,0.00080524804,0.00023908622,0.000017302244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034126715,0.000063549145,0.43748292,0.00004774759,0.000012086073,4.5772128e-7,0.00014782073,0.000037308953,0.000002558147,0.5587557,0.000028006425,0.003387737],"study_design_scores_gemma":[0.0017237293,0.000030025774,0.34209886,0.00002348401,0.000008043949,0.000004737602,0.000044821085,0.0152166225,0.00013320573,0.6160797,0.024160752,0.00047601736],"about_ca_topic_score_codex":0.00052436616,"about_ca_topic_score_gemma":0.002874459,"teacher_disagreement_score":0.16005884,"about_ca_system_score_codex":0.00027731093,"about_ca_system_score_gemma":0.00016194914,"threshold_uncertainty_score":0.9999466},"labels":[],"label_agreement":null},{"id":"W2013603431","doi":"10.1080/09603100601018807","title":"A market microstructure analysis of the Canadian dollar depreciation episodes in the 1990s","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Depreciation (economics); Economics; Exchange rate; Liberian dollar; Currency; Econometrics; Explanatory power; Nonparametric statistics; Order (exchange); Us dollar; Monetary economics; Finance; Microeconomics; Physics","score_opus":0.019555377609363402,"score_gpt":0.1903102522960518,"score_spread":0.1707548746866884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013603431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94627297,0.00016080531,0.00029740308,0.0005584726,0.00032060547,0.0003608129,0.0005327463,0.000005653701,0.051490508],"genre_scores_gemma":[0.99737096,0.000065277716,0.00023384491,0.0020289605,0.00014351368,0.000013816314,0.000038918504,0.000015750364,0.00008898829],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981656,0.000016444174,0.0009344774,0.000355852,0.000021889093,0.00050571235],"domain_scores_gemma":[0.99863344,0.00014085628,0.00054512615,0.0005909552,0.000007386355,0.000082233375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018560248,0.00019080927,0.00053674413,0.0005897574,0.00023924658,0.00006549346,0.0006075542,0.00025858765,0.00018284867],"category_scores_gemma":[0.00010103817,0.00017061587,0.00026349453,0.00071963284,0.0001146823,0.00011058597,0.000043335665,0.00026310948,0.000044012122],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009653114,0.00005272554,0.4161398,0.000016829503,0.0002741326,0.0000017574806,0.0033418222,0.023263704,0.000011470454,0.55122876,0.0024142296,0.0031582457],"study_design_scores_gemma":[0.00034052107,0.000009372339,0.92482,0.000002395798,0.000052495794,0.0000017997506,0.00008316997,0.004461682,0.000068132525,0.03423094,0.035705402,0.00022406764],"about_ca_topic_score_codex":0.09814313,"about_ca_topic_score_gemma":0.7297804,"teacher_disagreement_score":0.6316372,"about_ca_system_score_codex":0.00041957886,"about_ca_system_score_gemma":0.00010188815,"threshold_uncertainty_score":0.9078624},"labels":[],"label_agreement":null},{"id":"W2014240422","doi":"10.1080/096031000331969","title":"Do foreign exchange risk premiums relate to the volatility in the foreign exchange and equity markets?","year":2000,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Foreign exchange risk; Volatility (finance); Risk premium; Currency; Volatility risk premium; Foreign exchange market; Equity (law); Monetary economics; Financial economics; Liberian dollar; Equity premium puzzle; Foreign exchange; Volatility swap; Variance risk premium; Implied volatility; Finance","score_opus":0.030186072180504227,"score_gpt":0.22723091104465526,"score_spread":0.19704483886415103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014240422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8404852,0.0017428746,0.0021846313,0.0004783159,0.00018597973,0.0014722315,0.00044222627,0.00003780871,0.1529707],"genre_scores_gemma":[0.9928154,0.004091274,0.0006295813,0.0013289112,0.00041806645,0.00037957504,0.000022405238,0.000048106074,0.00026668908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99692976,0.000062306375,0.0011523701,0.0009891988,0.00006516153,0.00080120313],"domain_scores_gemma":[0.99815536,0.00028681188,0.00037724094,0.0010252917,0.000022583698,0.00013271895],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004458209,0.0004030622,0.0006877969,0.00017466514,0.0005498361,0.0002263856,0.0008350806,0.0003587831,0.00044236725],"category_scores_gemma":[0.0002441699,0.0003552189,0.00017378395,0.00040117593,0.00014860876,0.00029616308,0.00029769033,0.0006857355,0.0003466093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060366146,0.00015536693,0.0463595,0.0000779364,0.00002752518,0.0000032856556,0.007143995,0.0010373218,8.635897e-7,0.6017034,0.002593767,0.34029335],"study_design_scores_gemma":[0.001175738,0.000105044455,0.2541316,0.00002222667,0.00002114646,0.0000044742305,0.0002652628,0.029442431,0.000006857037,0.48380852,0.23036516,0.0006515721],"about_ca_topic_score_codex":0.0010120928,"about_ca_topic_score_gemma":0.001511177,"teacher_disagreement_score":0.33964178,"about_ca_system_score_codex":0.00022699808,"about_ca_system_score_gemma":0.000057070323,"threshold_uncertainty_score":0.99988997},"labels":[],"label_agreement":null},{"id":"W2017739554","doi":"10.1080/09603100600598064","title":"Monetary aggregation, inflation, and welfare","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Calgary","funders":"","keywords":"Economics; Divisia monetary aggregates index; Inflation (cosmology); Divisia index; Monetary policy; Welfare; Monetary economics; Currency; Inflation targeting; Macroeconomics; Credit channel; Biology","score_opus":0.015979335085754703,"score_gpt":0.170902702070724,"score_spread":0.1549233669849693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017739554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9252961,0.00064865133,0.0012602896,0.0013088544,0.00031560226,0.0002827554,0.00022008215,0.000068878595,0.07059879],"genre_scores_gemma":[0.9967348,0.0001936359,0.0012164754,0.00069255836,0.00053608575,0.000036881866,0.0001364548,0.000035901652,0.00041722145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99819946,0.0000045557767,0.0008624758,0.0005271466,0.000012753273,0.00039360853],"domain_scores_gemma":[0.9991299,0.000032019598,0.00040220693,0.00033071308,0.0000075017883,0.00009766984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028416736,0.00024459523,0.0004567605,0.00020638369,0.00026889888,0.000101500744,0.00016517725,0.00020548295,0.0003292344],"category_scores_gemma":[0.000027203689,0.00033414998,0.00008197886,0.00009158558,0.00010175826,0.00035450447,0.00006051785,0.00015122203,0.00064259104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024392448,0.000028965303,0.028728906,0.000013012438,0.000013137526,7.856433e-7,0.00010249748,0.007966355,0.0000046132122,0.9580111,0.0020191732,0.0030870468],"study_design_scores_gemma":[0.0010662205,0.000033211283,0.24465565,0.0000041327658,0.000009276531,0.00000945754,0.000024538364,0.01002065,0.000097700206,0.47866347,0.264778,0.0006376845],"about_ca_topic_score_codex":0.0012022223,"about_ca_topic_score_gemma":0.00016502035,"teacher_disagreement_score":0.47934765,"about_ca_system_score_codex":0.00010505021,"about_ca_system_score_gemma":0.000018041063,"threshold_uncertainty_score":0.99991107},"labels":[],"label_agreement":null},{"id":"W2024404156","doi":"10.1080/09603100600735310","title":"Fractional integration in the equity markets of MENA region","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Economics; Volatility (finance); Statistic; Equity (law); Emerging markets; Rescaled range; Stock market; Spurious relationship; Financial economics; Long memory; Econometrics; Stock (firearms); Mathematics; Statistics; Geography; Macroeconomics; Political science","score_opus":0.03452168238601909,"score_gpt":0.23101742765426952,"score_spread":0.19649574526825042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024404156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6538585,0.00026171398,0.04299625,0.0004763918,0.00042227807,0.00039252557,0.00004891826,0.000015365862,0.3015281],"genre_scores_gemma":[0.99900025,0.000083974366,0.00031134774,0.0002384446,0.00018444797,0.000019112005,0.000022329317,0.000010719864,0.00012937677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99855804,0.000007880856,0.00090265466,0.0002750776,0.000027319087,0.0002290507],"domain_scores_gemma":[0.9989927,0.00012053313,0.0005363144,0.0003021854,0.00001910408,0.000029197487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015889417,0.00012277279,0.000370367,0.0002227682,0.00008062288,0.0000340933,0.00026314892,0.00011590052,0.00012547552],"category_scores_gemma":[0.0000613404,0.00012386897,0.00012616122,0.00027477933,0.000055709257,0.00012835939,0.000060903545,0.00015930092,0.00007084954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007836963,0.000058036738,0.0033431011,0.000008102842,0.0000113750775,0.0000010724898,0.00031915202,0.000104549275,0.0000114024515,0.9809481,0.00041877961,0.0146979885],"study_design_scores_gemma":[0.0010336626,0.00006886856,0.43670675,0.000018353257,0.000013912069,0.000010751249,0.00080396933,0.002897825,0.00020193993,0.40348,0.15430424,0.00045972475],"about_ca_topic_score_codex":0.0005214743,"about_ca_topic_score_gemma":0.001160972,"teacher_disagreement_score":0.5774681,"about_ca_system_score_codex":0.00014590668,"about_ca_system_score_gemma":0.000027173708,"threshold_uncertainty_score":0.505123},"labels":[],"label_agreement":null},{"id":"W2026966096","doi":"10.1080/09603100110111259","title":"Comparing forecasting ability of parametric and non-parametric methods: an application with Canadian monthly interest rates","year":2003,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Israel Science Foundation","keywords":"Parametric statistics; Econometrics; Benchmark (surveying); Artificial neural network; Term (time); Parametric model; Smoothing; Estimation; Multivariate statistics; Nonparametric statistics; Autoregressive conditional heteroskedasticity; Statistics; Economics; Computer science; Mathematics; Artificial intelligence; Geography; Volatility (finance)","score_opus":0.06842481516244425,"score_gpt":0.25376182199402764,"score_spread":0.18533700683158338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026966096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393642,0.00031722232,0.05067388,0.00001731991,0.00010843913,0.00060824887,0.00007558895,0.000021707368,0.008813424],"genre_scores_gemma":[0.9494942,0.000071615585,0.05016487,0.00006210853,0.000044550052,0.00008909268,0.000029009083,0.000039971685,0.0000045746874],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975786,0.000026862645,0.0010690114,0.00079524226,0.00002444916,0.0005057958],"domain_scores_gemma":[0.99827063,0.00022587336,0.00063203217,0.0005397149,0.000068549125,0.00026319065],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017391833,0.00029653072,0.0008872983,0.00070343574,0.00022847118,0.000087453656,0.000261666,0.0002436499,0.000010727921],"category_scores_gemma":[0.00051096536,0.0003598615,0.00007468906,0.00076069176,0.00015305678,0.00030933056,0.00004484305,0.00029929576,0.00001529573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010787029,0.00018042042,0.33949488,0.00010993184,0.00004116594,7.50355e-7,0.0005296121,0.011156639,0.000041325227,0.62646216,0.000007882873,0.021867374],"study_design_scores_gemma":[0.0014941526,0.00029318393,0.29989013,0.00003171846,0.000038363032,0.0000046284326,0.00025813855,0.53485477,0.0012623359,0.15718511,0.0036746752,0.0010127836],"about_ca_topic_score_codex":0.02674377,"about_ca_topic_score_gemma":0.034707326,"teacher_disagreement_score":0.52369815,"about_ca_system_score_codex":0.0002818031,"about_ca_system_score_gemma":0.00021299854,"threshold_uncertainty_score":0.9998853},"labels":[],"label_agreement":null},{"id":"W2027496993","doi":"10.1080/09603100600749279","title":"Monetary policy rules under a fixed exchange rate regime: empirical evidence from China","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Monetary policy; Taylor rule; Cointegration; Exchange rate; Inflation (cosmology); Interest rate; China; Inflation targeting; Monetary economics; Econometrics; Fisher hypothesis; Macroeconomics; Real interest rate; Central bank","score_opus":0.08974711893835163,"score_gpt":0.25985413593978596,"score_spread":0.17010701700143432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027496993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960438,0.0017675053,0.010023969,0.0032607333,0.00080069207,0.0005034763,0.0007396821,0.00012593772,0.022339994],"genre_scores_gemma":[0.9875732,0.0017355126,0.0025161088,0.0045579863,0.0024661447,0.00004724313,0.00017409536,0.00009829834,0.00083142647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9959278,0.000023881352,0.0015869432,0.0012062436,0.000035277248,0.0012198371],"domain_scores_gemma":[0.9973516,0.00040467514,0.0008047425,0.0010016778,0.000010739395,0.0004265769],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016142846,0.00057290663,0.001111468,0.00056154403,0.00030713677,0.00016077445,0.0007249043,0.00053770206,0.00085048185],"category_scores_gemma":[0.00026569565,0.00073327194,0.00032663275,0.00026764718,0.00021288203,0.0006410412,0.0002418533,0.00051202043,0.0042756447],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022893888,0.00066736963,0.08119187,0.000154359,0.00054050464,0.00005782883,0.0081069,0.021324791,0.00033714168,0.80968034,0.037417248,0.03823227],"study_design_scores_gemma":[0.0016415756,0.0001160507,0.6351779,0.000035973342,0.00002775828,0.000009731147,0.000068525405,0.006665095,0.00044431374,0.28066605,0.07377835,0.00136864],"about_ca_topic_score_codex":0.007058294,"about_ca_topic_score_gemma":0.0007228806,"teacher_disagreement_score":0.5539861,"about_ca_system_score_codex":0.0006439565,"about_ca_system_score_gemma":0.00015095234,"threshold_uncertainty_score":0.9995538},"labels":[],"label_agreement":null},{"id":"W2033396935","doi":"10.1080/09603100110111268","title":"Expected returns and economic risk in Canadian financial markets","year":2003,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Economics; Portfolio; Econometrics; Bond; Stock (firearms); Latent variable; Factor analysis; Financial economics; Capital asset pricing model; Asset (computer security); Financial market; Asset allocation; Finance; Statistics","score_opus":0.009969101527161937,"score_gpt":0.17332905213453123,"score_spread":0.1633599506073693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033396935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78237134,0.0007541357,0.000034881235,0.00014826003,0.00084036053,0.00044456703,0.00037010293,0.000034122935,0.21500225],"genre_scores_gemma":[0.99586946,0.0021227663,0.0006769852,0.00066760846,0.00018588064,0.00012952901,0.000030628365,0.000057969955,0.00025916312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99686784,0.000031229,0.0011053169,0.00094183616,0.000021020276,0.0010327728],"domain_scores_gemma":[0.99859446,0.000085601234,0.00046708694,0.0004655601,0.000012531302,0.0003747394],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010410668,0.0004247737,0.00080291316,0.0005986677,0.00028908957,0.00016286512,0.00028142147,0.00044254638,0.0004654313],"category_scores_gemma":[0.00041193506,0.0005787446,0.0001179967,0.00021158572,0.0001828432,0.00035704722,0.000053551255,0.0004381931,0.00040281375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004078408,0.000031290132,0.088473335,0.000011602226,0.0000100174375,0.0000057732905,0.00025683772,0.00007339978,0.0000018580155,0.9090928,0.0011540701,0.0008482623],"study_design_scores_gemma":[0.0014147478,0.000055545166,0.46434632,0.000011346222,0.0000071272116,0.000006680234,0.00009053073,0.00032306678,0.000050517632,0.26774123,0.26514682,0.00080606365],"about_ca_topic_score_codex":0.06910353,"about_ca_topic_score_gemma":0.30319187,"teacher_disagreement_score":0.6413515,"about_ca_system_score_codex":0.0008091339,"about_ca_system_score_gemma":0.0007707905,"threshold_uncertainty_score":0.9996664},"labels":[],"label_agreement":null},{"id":"W2035368276","doi":"10.1080/0960310052000345831","title":"Purchasing Power Parity as a long-term memory process: evidence from Canada","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cointegration; Purchasing power parity; Economics; Econometrics; Long memory; Yield (engineering); Johansen test; Relative purchasing power parity; Financial economics; Error correction model; Monetary economics; Exchange rate","score_opus":0.012935369902170769,"score_gpt":0.20153667420708174,"score_spread":0.18860130430491098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035368276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95017195,0.0007102046,0.0012234324,0.0003485734,0.00073120894,0.0004079132,0.00042646943,0.000046557332,0.04593372],"genre_scores_gemma":[0.998286,0.00010677724,0.00029633654,0.00045131842,0.00041171137,0.00006596724,0.00009849402,0.00004625858,0.00023713268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738383,0.000010563771,0.001060824,0.00092586386,0.000051119005,0.00056778674],"domain_scores_gemma":[0.99840033,0.00016695524,0.0006142321,0.00063608534,0.000040349296,0.00014206854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051080587,0.00034298014,0.0006806143,0.0000973396,0.00023820114,0.00015230633,0.00049575564,0.0002499888,0.0006206615],"category_scores_gemma":[0.00016647957,0.0004626317,0.00012483218,0.0001629773,0.00009701662,0.00029448507,0.00012698927,0.00033458756,0.00010201372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022674531,0.00014958942,0.85949486,0.00007792,0.000053394462,0.000022577853,0.0002676932,0.0003917073,0.000040604984,0.13315283,0.0008429174,0.005279132],"study_design_scores_gemma":[0.0008685288,0.00003827041,0.739482,0.00004930996,0.000017410242,0.0000043219957,0.00003703346,0.0071601258,0.00039415152,0.24598265,0.0048838174,0.0010824138],"about_ca_topic_score_codex":0.44359267,"about_ca_topic_score_gemma":0.50787044,"teacher_disagreement_score":0.12001292,"about_ca_system_score_codex":0.0006307966,"about_ca_system_score_gemma":0.0006573384,"threshold_uncertainty_score":0.99978256},"labels":[],"label_agreement":null},{"id":"W2037896857","doi":"10.1080/09603100701477275","title":"Financial development and economic growth: a symbiotic relationship","year":2008,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Granger causality; Cointegration; Economics; Causality (physics); Sri lanka; Macroeconomics; Finance; Monetary economics; Econometrics","score_opus":0.03458482742367724,"score_gpt":0.18606353495511718,"score_spread":0.15147870753143994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037896857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8808764,0.00028422946,0.000502612,0.0003804445,0.0006352031,0.00032308168,0.00010761977,0.00008607337,0.11680433],"genre_scores_gemma":[0.99547505,0.00010329705,0.0022609916,0.0010632557,0.00058849755,0.00009247344,0.000043181084,0.00006169921,0.0003115355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99713486,0.000008729376,0.0012934846,0.0008845842,0.000019603103,0.00065872597],"domain_scores_gemma":[0.99876887,0.00014056549,0.00048636296,0.0003851272,0.000012049649,0.00020700991],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044424454,0.0003972635,0.00076932774,0.00033962863,0.00062249054,0.00007158385,0.00033769367,0.00039095728,0.000073482246],"category_scores_gemma":[0.00019020659,0.0005539368,0.00013470475,0.00011399735,0.00027559762,0.0003647813,0.00016688569,0.0003542447,0.0026036028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039661943,0.00004378939,0.055419516,0.00002401466,0.000018451376,0.0000034134812,0.0007265575,0.000033655688,0.0000015411788,0.9412696,0.0018735448,0.0005463021],"study_design_scores_gemma":[0.0013716734,0.000047975635,0.35721672,0.000008902181,0.000007835544,0.000045757664,0.000022987022,0.0003771955,0.00030835415,0.59477717,0.044903055,0.00091237464],"about_ca_topic_score_codex":0.00010450553,"about_ca_topic_score_gemma":0.000095663796,"teacher_disagreement_score":0.34649238,"about_ca_system_score_codex":0.00044763685,"about_ca_system_score_gemma":0.00028920482,"threshold_uncertainty_score":0.9996912},"labels":[],"label_agreement":null},{"id":"W2044861028","doi":"10.1080/09603100500107917","title":"A Kalman filter approach to characterizing the Canadian term structure of interest rates","year":2005,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kalman filter; Economics; Volatility (finance); Econometrics; Term (time); Interest rate; Short rate; Risk premium; Yield curve; Monetary economics; Statistics; Mathematics","score_opus":0.06493102820474805,"score_gpt":0.21050379359605367,"score_spread":0.14557276539130562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044861028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96458757,0.00007295745,0.00013620523,0.001677754,0.0003070614,0.00046139205,0.0008860624,0.000016312122,0.031854685],"genre_scores_gemma":[0.99276817,0.000028888722,0.0011469766,0.005013418,0.0006897756,0.000032153166,0.000082565755,0.000041068397,0.00019698343],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980459,0.0000071088275,0.00085834274,0.0004902393,0.000011518958,0.0005868713],"domain_scores_gemma":[0.9987384,0.00003525629,0.0003971183,0.00056822755,0.000008637439,0.0002523433],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029497012,0.0002755583,0.0005679384,0.00029835064,0.00024647012,0.0001225306,0.0006013442,0.00021515564,0.00030008372],"category_scores_gemma":[0.00003940474,0.0002820976,0.00013446304,0.00011641881,0.00009882919,0.00022448743,0.00009388686,0.00028331202,0.00054711103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009124916,0.000084352534,0.0068598553,0.000043434535,0.00009522306,5.510615e-7,0.0039479807,0.0066109477,0.00046751322,0.9682752,0.005096431,0.008427275],"study_design_scores_gemma":[0.0016946035,0.00014052168,0.25379193,0.000028101424,0.000031808515,0.000028086179,0.00016583044,0.012597831,0.00601097,0.042579364,0.68110603,0.0018249296],"about_ca_topic_score_codex":0.011962701,"about_ca_topic_score_gemma":0.0640153,"teacher_disagreement_score":0.92569584,"about_ca_system_score_codex":0.00033869242,"about_ca_system_score_gemma":0.000094756266,"threshold_uncertainty_score":0.9999631},"labels":[],"label_agreement":null},{"id":"W2047648286","doi":"10.1080/09603100500390091","title":"A century of Purchasing Power Parity: evidence from Canada and Australia","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Sheffield Hallam University","keywords":"Purchasing power parity; Cointegration; Relative purchasing power parity; Economics; Unit root; Mean reversion; Econometrics; Parity (physics); Macroeconomics","score_opus":0.04085843379691857,"score_gpt":0.20084521770656857,"score_spread":0.15998678390965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047648286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932991,0.0008841122,0.0002260956,0.00023132733,0.00046130264,0.00018629107,0.0007756822,0.000013159039,0.003922903],"genre_scores_gemma":[0.99817497,0.00028342003,0.00086146843,0.00022975761,0.00028400464,0.0000117285945,0.000038012447,0.000023309509,0.000093361625],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9981482,0.0000058473192,0.0009100356,0.0005039901,0.000018804125,0.00041311065],"domain_scores_gemma":[0.9988836,0.000116352436,0.0005326001,0.00035409606,0.0000067752635,0.000106593456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024966625,0.0002299691,0.00061825005,0.00009891747,0.00009237009,0.000052086005,0.0002182354,0.00016477643,0.00027983566],"category_scores_gemma":[0.000051033472,0.00031043112,0.00007577594,0.00006595908,0.00010424534,0.00023256823,0.00008165182,0.00016861835,0.000066779896],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023386093,0.00009816554,0.40026426,0.0000713347,0.00009915388,0.000008558581,0.0006753447,0.0067630867,0.00044349435,0.58288264,0.0053437953,0.0031162866],"study_design_scores_gemma":[0.0014367466,0.00007841153,0.76539534,0.00005650564,0.000030154235,0.0000072880894,0.00007474557,0.0015980927,0.0024792883,0.13263176,0.095000245,0.0012114429],"about_ca_topic_score_codex":0.8239122,"about_ca_topic_score_gemma":0.31861836,"teacher_disagreement_score":0.50529385,"about_ca_system_score_codex":0.00023046791,"about_ca_system_score_gemma":0.000109909415,"threshold_uncertainty_score":0.9999348},"labels":[],"label_agreement":null},{"id":"W2050437337","doi":"10.1080/09603107.2011.523188","title":"Some variables are more worthy than others: new diffusion index evidence on the monitoring of key economic indicators","year":2010,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Index (typography); Key (lock); Economics; Diffusion; Econometrics; Macroeconomics; Physics; Thermodynamics; Computer science","score_opus":0.040507133379167864,"score_gpt":0.21993983360573305,"score_spread":0.17943270022656518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050437337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921594,0.00029288724,0.00017416499,0.0013782472,0.0018635528,0.00048482002,0.00020292109,0.000046206365,0.0033977746],"genre_scores_gemma":[0.9958477,0.00074879406,0.00030278144,0.0006398133,0.00203719,0.00005710154,0.000008616092,0.00007439696,0.00028362568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99733764,0.000012087419,0.0012118773,0.00077391893,0.000035604095,0.00062887673],"domain_scores_gemma":[0.9969012,0.00031674,0.0014443671,0.0010901063,0.000005309393,0.00024225723],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079657993,0.00043451673,0.0008513287,0.0004319132,0.0002796032,0.00012845903,0.0009586699,0.00042861895,0.00040587693],"category_scores_gemma":[0.00018959353,0.0004444717,0.00025926315,0.00014368402,0.00022456504,0.0005040521,0.00017157117,0.00068525336,0.0006673579],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002075664,0.000098871074,0.28392547,0.000028991068,0.000082529376,0.0000010344598,0.0011503211,0.00771796,0.00013577897,0.70257694,0.0016867087,0.0023878163],"study_design_scores_gemma":[0.0019616268,0.00018665791,0.7341683,0.00015455757,0.000039811257,0.000006574225,0.0004553784,0.006646482,0.0043616584,0.21165314,0.038705613,0.00166022],"about_ca_topic_score_codex":0.0014118376,"about_ca_topic_score_gemma":0.0001532429,"teacher_disagreement_score":0.4909238,"about_ca_system_score_codex":0.00023058518,"about_ca_system_score_gemma":0.00014423692,"threshold_uncertainty_score":0.9998007},"labels":[],"label_agreement":null},{"id":"W2051304707","doi":"10.1080/09603100210148221","title":"Indirect convertibility as a money rule for inflation targeting","year":2003,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"University of Edinburgh; London School of Economics and Political Science","keywords":"Convertibility; Economics; Inflation (cosmology); Reinterpretation; Currency; Monetary economics; Keynesian economics; Monetary policy; Inflation targeting; Macroeconomics; Common currency","score_opus":0.035732705126491515,"score_gpt":0.21280199137700045,"score_spread":0.17706928625050894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051304707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92948645,0.00024535056,0.0048947684,0.0001656357,0.0007393673,0.00079307356,0.00029694295,0.000069464164,0.06330897],"genre_scores_gemma":[0.9943181,0.00010616389,0.0033903508,0.0011882489,0.00027953973,0.00017341586,0.000104842125,0.000053325082,0.00038595634],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99750274,0.000012951153,0.0011173047,0.00072524,0.000014755085,0.00062702317],"domain_scores_gemma":[0.9986554,0.0001529,0.00059000845,0.00042140984,0.000013422867,0.00016689414],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012290291,0.00029882966,0.0006951553,0.00018506277,0.0002763539,0.00009283848,0.00022619242,0.00029217283,0.00045794295],"category_scores_gemma":[0.0005881779,0.00041137374,0.00022169336,0.00010220419,0.000076068776,0.00033607148,0.00003668637,0.00018627761,0.0014195169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013416742,0.00008752697,0.012746745,0.000041340314,0.000049716313,4.194228e-7,0.0005803999,0.0051191663,0.0000682798,0.9772508,0.0020635792,0.0018578287],"study_design_scores_gemma":[0.0022025032,0.00010506445,0.007979355,0.0000053783733,0.000016292268,0.000004226579,0.000068300054,0.010220547,0.003932664,0.67328924,0.30127227,0.00090413954],"about_ca_topic_score_codex":0.00020881565,"about_ca_topic_score_gemma":0.000030971278,"teacher_disagreement_score":0.30396158,"about_ca_system_score_codex":0.00028448715,"about_ca_system_score_gemma":0.00009404655,"threshold_uncertainty_score":0.9998338},"labels":[],"label_agreement":null},{"id":"W2052420330","doi":"10.1080/09603100801964420","title":"Testing for causality in the transmission of Eurodollar and US interest rates","year":2009,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Eurodollar; Granger causality; Econometrics; Bivariate analysis; Economics; Spurious relationship; Interest rate; Statistics; Mathematics; Monetary economics","score_opus":0.10677540139228962,"score_gpt":0.24793925269296385,"score_spread":0.14116385130067421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052420330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917145,0.00026265322,0.0008322985,0.0006748591,0.0000814151,0.0004265427,0.00012468162,0.000009374966,0.0058737127],"genre_scores_gemma":[0.9969467,0.00009806519,0.0016711499,0.0011135039,0.0001101593,0.000019909625,0.000013879573,0.000012294819,0.000014367532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986201,0.0000091765605,0.0007523833,0.00032774959,0.0000071975437,0.00028340783],"domain_scores_gemma":[0.9991791,0.0002183697,0.00031924143,0.00022986258,0.0000055857313,0.000047815218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000867992,0.00016017686,0.00044666862,0.00011246926,0.0000835818,0.000040303334,0.0002179182,0.00011592977,0.000013565197],"category_scores_gemma":[0.00012600716,0.00016323582,0.00006888434,0.000092485425,0.000061629515,0.00012646687,0.000016480444,0.000127093,0.000011701121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003447118,0.00024063348,0.029067913,0.00011425069,0.000021294582,0.0000015668128,0.0029398354,0.0037034443,0.00044360376,0.9104382,0.0007099513,0.05197462],"study_design_scores_gemma":[0.0019487664,0.00040148964,0.5698538,0.000024686384,0.000012196759,0.000008213111,0.00011494245,0.01595636,0.0006441683,0.38090315,0.029638864,0.00049338664],"about_ca_topic_score_codex":0.00016430953,"about_ca_topic_score_gemma":0.00005244903,"teacher_disagreement_score":0.54078585,"about_ca_system_score_codex":0.000039176393,"about_ca_system_score_gemma":0.00002139888,"threshold_uncertainty_score":0.6656564},"labels":[],"label_agreement":null},{"id":"W2054850389","doi":"10.1080/0960310042000233872","title":"A re-examination of Wagner's law for ten countries based on cointegration and error-correction modelling techniques","year":2004,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cointegration; Economics; Newly industrialized country; Government (linguistics); Developed country; Granger causality; Order (exchange); Bivariate analysis; Unit root; Developing country; Development economics; Macroeconomics; Econometrics; Economic growth; Demography; Population; Statistics; Sociology","score_opus":0.021837072438537452,"score_gpt":0.20524487088839155,"score_spread":0.1834077984498541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054850389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3957672,0.00010797708,0.33528298,0.0013794514,0.00096652645,0.001837819,0.0007226391,0.0001655539,0.2637698],"genre_scores_gemma":[0.9936762,0.000025745094,0.004929574,0.00087861135,0.00018983784,0.00016227663,0.00007896988,0.00003263982,0.000026186795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986627,0.0000042520037,0.0006790206,0.00041236012,0.000015603073,0.00022604091],"domain_scores_gemma":[0.9991579,0.00010048764,0.00045715595,0.00020855806,0.000027973374,0.00004792155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005317626,0.00019160876,0.00042662802,0.00021809014,0.00016233981,0.000049936632,0.000109128516,0.00022937272,0.000006582458],"category_scores_gemma":[0.000044933764,0.00024254153,0.00009010853,0.00006734186,0.00012247695,0.00022287278,0.000018111998,0.00012089512,0.000017978307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012160848,0.00005379853,0.000094565534,0.000040424584,0.0000074466197,6.925302e-8,0.00028116535,0.018489528,0.000008585365,0.9791468,0.000086709944,0.0016693403],"study_design_scores_gemma":[0.0016340412,0.00040767548,0.0010369873,0.00004694948,0.000014992071,8.606618e-7,0.00012313953,0.16733786,0.011698934,0.80598664,0.011218415,0.00049348106],"about_ca_topic_score_codex":0.00029328835,"about_ca_topic_score_gemma":0.000260214,"teacher_disagreement_score":0.5979089,"about_ca_system_score_codex":0.00025502473,"about_ca_system_score_gemma":0.000046766658,"threshold_uncertainty_score":0.98905563},"labels":[],"label_agreement":null},{"id":"W2057726644","doi":"10.1080/09603100802199661","title":"Impact of bond index revisions","year":2009,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Bond; Bond market index; Economics; Index (typography); Bond market; Econometrics; Equity (law); Stock market index; Financial economics; Issuer; Stock (firearms); Monetary economics; Stock market; Finance; Biology","score_opus":0.01822945178597215,"score_gpt":0.22267554468030082,"score_spread":0.20444609289432866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057726644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6570482,0.00038184365,0.00082686037,0.00016567948,0.00023527797,0.00029369767,0.00018430807,0.00003703461,0.3408271],"genre_scores_gemma":[0.99791443,0.0005779722,0.0007044904,0.0004303714,0.00018475512,0.000014857436,0.000024251209,0.000021689839,0.00012717364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99815685,0.0000035741095,0.0009703966,0.0004464611,0.00002165006,0.00040107092],"domain_scores_gemma":[0.99877536,0.000034673376,0.00059729663,0.0004615197,0.000025009178,0.0001061386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003049957,0.00025737786,0.0007207839,0.0002336,0.00010939861,0.0000542111,0.00031756028,0.00021375269,0.00030638432],"category_scores_gemma":[0.00008450228,0.00029078062,0.0003149956,0.00023658543,0.00010295637,0.0002502248,0.000045022003,0.00018581048,0.00021549808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068665875,0.0001255228,0.009362987,0.000007565396,0.000017721573,7.0665055e-7,0.00007699974,0.00023101711,0.000029431303,0.97746706,0.0031832424,0.009429065],"study_design_scores_gemma":[0.00062038004,0.00024155402,0.5678715,0.000010825495,0.000004903254,0.0000014266695,0.000009658245,0.0002477613,0.000058209785,0.41392952,0.016656145,0.00034808335],"about_ca_topic_score_codex":0.00013818152,"about_ca_topic_score_gemma":0.000009493695,"teacher_disagreement_score":0.56353754,"about_ca_system_score_codex":0.00015714325,"about_ca_system_score_gemma":0.00013694483,"threshold_uncertainty_score":0.99995446},"labels":[],"label_agreement":null},{"id":"W2069214840","doi":"10.1080/09603107.2014.887190","title":"Testing the value of lead information in forecasting monthly changes in employment from the Bureau of Labor Statistics","year":2014,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University; Queen's University","funders":"","keywords":"Nonfarm payrolls; Econometrics; Payroll; Value (mathematics); Economics; Vector autoregression; Statistics; Mathematics; Geography; Agriculture; Accounting","score_opus":0.07174708984654252,"score_gpt":0.2184805098024765,"score_spread":0.14673341995593397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069214840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902998,0.000094333576,0.0010093472,0.00046383115,0.00018629723,0.00035928376,0.001039139,0.000006243441,0.0065416996],"genre_scores_gemma":[0.9966421,0.000053349802,0.0023605335,0.00067997404,0.00013125653,0.00004113385,0.00007148398,0.0000141933015,0.000005987753],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983802,0.000017331631,0.0011008916,0.00019134664,0.000019394878,0.00029085862],"domain_scores_gemma":[0.99802995,0.0007051917,0.00090126425,0.000327115,0.00001163341,0.000024840007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010153209,0.00015902461,0.000482538,0.00013899189,0.000060926868,0.0000294836,0.00032939864,0.000109782304,0.000015335188],"category_scores_gemma":[0.00051080715,0.00014512154,0.000040410712,0.00015681522,0.00009245086,0.00017878618,0.00007916703,0.00018616096,0.000030112058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086309614,0.00005656506,0.10123448,0.000042362655,0.000022119566,2.0666725e-7,0.004683797,0.14781246,0.000026596694,0.7126455,0.00025767746,0.03313194],"study_design_scores_gemma":[0.0011611691,0.000095217045,0.4008648,0.000041151852,0.000008672245,4.706983e-7,0.00026659534,0.3915036,0.00030363907,0.19921444,0.0062563,0.00028392472],"about_ca_topic_score_codex":0.012872393,"about_ca_topic_score_gemma":0.0045418986,"teacher_disagreement_score":0.5134311,"about_ca_system_score_codex":0.000108276334,"about_ca_system_score_gemma":0.00003451129,"threshold_uncertainty_score":0.993701},"labels":[],"label_agreement":null},{"id":"W2073543145","doi":"10.1080/09603107.2012.727972","title":"Setting the optimal make-whole call premium","year":2012,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Rule of thumb; Economics; Ex-ante; Value (mathematics); Risk premium; Investment (military); Call option; Microeconomics; Econometrics; Actuarial science; Financial economics; Computer science","score_opus":0.015897850643536163,"score_gpt":0.19633741142892452,"score_spread":0.18043956078538836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073543145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8576064,0.0011796226,0.012377989,0.0014561262,0.002509778,0.00068035896,0.00043662864,0.000120430996,0.12363266],"genre_scores_gemma":[0.99352825,0.00011846992,0.002286065,0.0003963527,0.0022838938,0.00013966189,0.0000643353,0.000056294386,0.0011266521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979122,0.00000827808,0.00082987716,0.00042916558,0.000031792115,0.00078867783],"domain_scores_gemma":[0.9986687,0.000113409544,0.00045704586,0.0005781452,0.000020611064,0.00016213354],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008666526,0.00027207434,0.00044244522,0.00012065403,0.00048415983,0.00010569864,0.00043240332,0.00025399425,0.00010080911],"category_scores_gemma":[0.00013576193,0.00028557648,0.00019434361,0.00020771251,0.00015277564,0.0002492584,0.00017258238,0.00035242483,0.0016743185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022511518,0.00007819838,0.022471432,0.00000734346,0.00001781662,3.4655952e-7,0.0008983642,0.0009791222,0.000019697762,0.95788234,0.005240859,0.012381981],"study_design_scores_gemma":[0.0004127674,0.000018246017,0.21081391,0.000003671343,0.000011770137,0.0000053077506,0.00007522362,0.0010651903,0.00010679619,0.014531275,0.77253646,0.00041938768],"about_ca_topic_score_codex":0.00009393145,"about_ca_topic_score_gemma":0.000061297986,"teacher_disagreement_score":0.94335103,"about_ca_system_score_codex":0.00020208744,"about_ca_system_score_gemma":0.00007426387,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W2082161880","doi":"10.1080/09603100500447529","title":"International correlations across stock markets and industries: trends and patterns 1988–2002","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Economics; Diversification (marketing strategy); Stock (firearms); Volatility (finance); Stock market; Financial economics; Globalization; Monetary economics; Econometrics; Business; Market economy","score_opus":0.014335282225288166,"score_gpt":0.20959746650302316,"score_spread":0.195262184277735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082161880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88030976,0.00012464811,0.002359723,0.00050065835,0.0005032004,0.00014985897,0.0015818982,0.000031121224,0.114439145],"genre_scores_gemma":[0.99647045,0.0002589423,0.00031423158,0.00015442824,0.0002714428,0.000039587492,0.00014567604,0.000025908708,0.0023193094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984675,0.000005519521,0.00065049675,0.00053830206,0.000020916257,0.0003172891],"domain_scores_gemma":[0.99924934,0.000076398086,0.00032860265,0.00024316294,0.00001840603,0.00008407613],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038421145,0.0002115254,0.0003586504,0.00016088077,0.00021363287,0.00017867713,0.00016673854,0.0002529372,0.00042979914],"category_scores_gemma":[0.000041643,0.0002838359,0.00005178529,0.00012496221,0.00011453919,0.00020384217,0.00015867711,0.00023661648,0.000021100199],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005703401,0.00007131629,0.61930907,0.000011624748,0.000026018259,0.0000012435964,0.00015952627,0.00003455702,0.0000013156999,0.30928424,0.0015017528,0.06954228],"study_design_scores_gemma":[0.0007831097,0.000015304675,0.7926432,0.00000439849,0.000004481221,0.000004427704,0.000027753405,0.03103911,0.0000021814906,0.019167537,0.15600508,0.00030341305],"about_ca_topic_score_codex":0.00036202822,"about_ca_topic_score_gemma":0.00054408464,"teacher_disagreement_score":0.2901167,"about_ca_system_score_codex":0.0001069814,"about_ca_system_score_gemma":0.000022079272,"threshold_uncertainty_score":0.9999614},"labels":[],"label_agreement":null},{"id":"W2085791005","doi":"10.1080/0960310042000339749","title":"Recursive measures of total wealth and portfolio return","year":2005,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Portfolio; Economics; Rate of return on a portfolio; Econometrics; Value (mathematics); Aggregate (composite); Portfolio optimization; Microeconomics; Financial economics; Mathematical economics; Mathematics; Statistics","score_opus":0.022527002582903115,"score_gpt":0.19445318220391242,"score_spread":0.1719261796210093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085791005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7857553,0.0015279218,0.00030376064,0.0005425277,0.0003741303,0.00032979075,0.00017251402,0.000031519034,0.21096253],"genre_scores_gemma":[0.9945776,0.001980619,0.0020562685,0.00061237416,0.00035887657,0.00003418417,0.000016337082,0.000031011707,0.00033274823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982398,0.000005833068,0.0008908207,0.00047436726,0.000025535604,0.00036365257],"domain_scores_gemma":[0.9989209,0.000039542792,0.0006083011,0.0002969853,0.000026124482,0.0001081075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004395534,0.00023130912,0.0006308398,0.00018525204,0.000115112656,0.00004556096,0.00015940094,0.00020329082,0.00012996627],"category_scores_gemma":[0.0000760456,0.00028604968,0.0001012587,0.00012254437,0.00018909502,0.0002685713,0.0000758182,0.00017769527,0.00008471689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000653017,0.000055849447,0.0019471467,0.000021508657,0.000018758043,5.03404e-7,0.00027043244,0.00005966471,0.000028520048,0.9831576,0.0015789917,0.012795771],"study_design_scores_gemma":[0.0019294794,0.00031067108,0.1294539,0.00003286954,0.000022948814,0.000014910662,0.00020505954,0.0005493718,0.0012885524,0.51233006,0.35281405,0.0010481193],"about_ca_topic_score_codex":0.00014043148,"about_ca_topic_score_gemma":0.000093055256,"teacher_disagreement_score":0.4708275,"about_ca_system_score_codex":0.00010595037,"about_ca_system_score_gemma":0.000100471945,"threshold_uncertainty_score":0.9999592},"labels":[],"label_agreement":null},{"id":"W2087866176","doi":"10.1080/0960310042000282292","title":"Long swings in the Canadian dollar","year":2005,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Liberian dollar; Economics; Exchange rate; Econometrics; Null hypothesis; Us dollar; Random walk; Value (mathematics); Monetary economics; Statistics; Mathematics; Finance","score_opus":0.03674876876970723,"score_gpt":0.18997477809496016,"score_spread":0.15322600932525293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087866176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8037617,0.0003134727,0.000133702,0.0045043845,0.00030641313,0.00037478856,0.00012658273,0.000021226977,0.19045773],"genre_scores_gemma":[0.9884797,0.0001351078,0.0004332749,0.009851064,0.00071246614,0.000057369445,0.000031748794,0.000030720254,0.00026859491],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979666,0.000008724798,0.00079923286,0.00046920963,0.000016032487,0.0007401906],"domain_scores_gemma":[0.9990285,0.00005760285,0.00023973467,0.00050071743,0.0000037579728,0.00016971039],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001028505,0.00023838357,0.0004403084,0.0003367327,0.0002776772,0.00017245382,0.0005895956,0.00024540743,0.00038526548],"category_scores_gemma":[0.000051290113,0.00026712782,0.00012235975,0.00016119989,0.00008041767,0.00030180716,0.000037649737,0.00034842093,0.0036538125],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023684459,0.000053821637,0.019826781,0.00000816138,0.000014929464,0.000005337624,0.0020201828,0.0146898255,9.701579e-7,0.9510877,0.005215071,0.007053543],"study_design_scores_gemma":[0.0010798343,0.000031243795,0.118568726,0.0000051791326,0.000005746495,0.000016815691,0.000077751385,0.00777866,0.000037026584,0.070760295,0.800956,0.00068272],"about_ca_topic_score_codex":0.06180098,"about_ca_topic_score_gemma":0.4694437,"teacher_disagreement_score":0.8803274,"about_ca_system_score_codex":0.000615622,"about_ca_system_score_gemma":0.00013265751,"threshold_uncertainty_score":0.99997807},"labels":[],"label_agreement":null},{"id":"W2092567227","doi":"10.1080/09603100802360032","title":"Extreme dependence in the NASDAQ and S&amp;P 500 composite indexes","year":2008,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Extreme value theory; Autoregressive conditional heteroskedasticity; Econometrics; Equity (law); Economics; Moment (physics); Tail dependence; Volatility clustering; Statistics; Mathematics; Physics; Volatility (finance)","score_opus":0.06697249856016531,"score_gpt":0.2108681776092814,"score_spread":0.1438956790491161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092567227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811979,0.0010925961,0.0038630867,0.0002783522,0.0002201923,0.00033671624,0.00006284562,0.000028690825,0.012919656],"genre_scores_gemma":[0.99517894,0.0017446835,0.001840611,0.00086867425,0.0001757492,0.00006090254,0.000016821761,0.000025386778,0.00008823289],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99813825,0.0000128859665,0.0007981843,0.0005871583,0.000033869503,0.0004296568],"domain_scores_gemma":[0.99910134,0.0001262128,0.00026284906,0.00042930167,0.000014136964,0.000066129156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006945309,0.00024267475,0.0005073357,0.00018883828,0.00033324552,0.000065549495,0.00040475352,0.00022281171,0.00002650031],"category_scores_gemma":[0.000081058766,0.0002637354,0.000085076616,0.0002129217,0.00018404255,0.00023422172,0.00010773445,0.00038896684,0.00021581366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087267086,0.000119664364,0.17656651,0.000019840027,0.000009269567,0.000007673103,0.0035223127,0.0007271322,0.000036473302,0.8128824,0.0002725683,0.0057488377],"study_design_scores_gemma":[0.0015434029,0.000059326936,0.6154288,0.000019131174,0.000007560031,0.00005213637,0.00011224551,0.0055168006,0.00006933913,0.27191064,0.104373515,0.00090707926],"about_ca_topic_score_codex":0.00066601404,"about_ca_topic_score_gemma":0.0011933281,"teacher_disagreement_score":0.5409718,"about_ca_system_score_codex":0.00009252598,"about_ca_system_score_gemma":0.00006523704,"threshold_uncertainty_score":0.99998146},"labels":[],"label_agreement":null},{"id":"W2093465950","doi":"10.1080/09603107.2010.532103","title":"Treating cross-dependence in event studies: the Canadian income trust leak","year":2011,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Victoria","funders":"","keywords":"Spurious relationship; Economics; Event (particle physics); Event study; Leak; Econometrics; Demographic economics; Actuarial science; Statistics; Physics; Geography; Mathematics","score_opus":0.05650240333791111,"score_gpt":0.23962457426659325,"score_spread":0.18312217092868216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093465950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7120199,0.0008919362,0.000040400064,0.00020542713,0.00076583016,0.00046527656,0.00010167623,0.000028241835,0.28548127],"genre_scores_gemma":[0.9972305,0.00070285634,0.00030477653,0.0009342031,0.00018661328,0.00017723098,0.000008605988,0.000036881414,0.00041830813],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99758524,0.000011630488,0.0010864434,0.0006015033,0.000028089029,0.00068708835],"domain_scores_gemma":[0.99884313,0.00007188296,0.00043965795,0.00048636488,0.000027855885,0.00013108402],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010121512,0.0003022502,0.0005863808,0.0002783901,0.00050474214,0.00013584201,0.000570985,0.00023216689,0.00021491846],"category_scores_gemma":[0.00019412125,0.0003020996,0.00012348588,0.00026966174,0.00032664396,0.0003365649,0.00011339614,0.00035416675,0.00047494378],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031012183,0.000032452568,0.078353204,0.00001128063,0.000019259358,0.000005548782,0.0017612011,0.00017035518,5.649587e-7,0.9183451,0.00009851483,0.0011715293],"study_design_scores_gemma":[0.0006775689,0.00007024115,0.5679581,0.000021048576,0.000005385192,0.0000030775786,0.0003827085,0.00035059382,0.000043796605,0.4010679,0.02890758,0.0005119455],"about_ca_topic_score_codex":0.089297555,"about_ca_topic_score_gemma":0.48866114,"teacher_disagreement_score":0.5172772,"about_ca_system_score_codex":0.0007910741,"about_ca_system_score_gemma":0.00032538822,"threshold_uncertainty_score":0.99994314},"labels":[],"label_agreement":null},{"id":"W2093919619","doi":"10.1080/09603107.2010.528362","title":"The real options content of oil producer stocks","year":2010,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Barrel (horology); Equity (law); Stock (firearms); Economics; Oil production; Production (economics); Oil-storage trade; Oil price; Maturity (psychological); Petroleum industry; Business; Natural resource economics; Agricultural economics; Monetary economics; Environmental science; Microeconomics; Petroleum engineering","score_opus":0.026065878096616764,"score_gpt":0.19439088525848322,"score_spread":0.16832500716186646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093919619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94433445,0.0011596208,0.00003398896,0.00063801074,0.0010026979,0.00015599046,0.00012383447,0.000025390156,0.052525997],"genre_scores_gemma":[0.98409885,0.0105537735,0.00066432176,0.00014953467,0.00039931535,0.00010709081,0.000029926303,0.000028083476,0.003969085],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99856037,0.0000035834782,0.0007706879,0.0003624733,0.00002046186,0.0002824359],"domain_scores_gemma":[0.9987743,0.00006597894,0.00050391874,0.0005464203,0.00003516605,0.00007422575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049244013,0.00015912708,0.00039470074,0.00010950555,0.00027052345,0.00006523647,0.00034206992,0.0001506731,0.00010553452],"category_scores_gemma":[0.000069386704,0.00014688126,0.00020707751,0.00013649778,0.00024640356,0.000099290606,0.00008195027,0.00026148075,0.00031746624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022563492,0.00005976644,0.0014927619,0.000004752622,0.0000394835,1.4599551e-7,0.0001528461,0.000052402625,0.00045409112,0.9934871,0.00045597283,0.003778108],"study_design_scores_gemma":[0.0016154437,0.000108753935,0.07561521,0.0000066551065,0.00006914163,0.000002857532,0.00031522586,0.0024302958,0.0035189434,0.57427835,0.34108648,0.0009526323],"about_ca_topic_score_codex":0.0004461222,"about_ca_topic_score_gemma":0.001175696,"teacher_disagreement_score":0.41920874,"about_ca_system_score_codex":0.00005087846,"about_ca_system_score_gemma":0.000059636368,"threshold_uncertainty_score":0.59896433},"labels":[],"label_agreement":null},{"id":"W2105747019","doi":"10.1080/09603100600949218","title":"Price clustering in the CAC 40 index options market","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Volatility clustering; Cluster analysis; Economics; Volatility (finance); Index (typography); Econometrics; Basis point; Market liquidity; Financial economics; Monetary economics; Interest rate; Computer science; Statistics; Autoregressive conditional heteroskedasticity; Mathematics","score_opus":0.01969925576107534,"score_gpt":0.20294424892254598,"score_spread":0.18324499316147064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105747019","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38938278,0.00034293553,0.005373143,0.0004991288,0.0007838144,0.00055244204,0.00006648453,0.00004088395,0.6029584],"genre_scores_gemma":[0.9956267,0.0006421063,0.0008296397,0.0019845488,0.0003776465,0.00013432019,0.000015328837,0.00003343581,0.00035626747],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978425,0.000011010467,0.00097625685,0.00050334574,0.0000321422,0.0006347396],"domain_scores_gemma":[0.99895555,0.00015519344,0.00034840527,0.000456523,0.000012976007,0.00007137562],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020661755,0.00025783567,0.0004313952,0.00030662876,0.00022514249,0.00014039605,0.00051770976,0.00020478343,0.00022396355],"category_scores_gemma":[0.00008906355,0.00027478812,0.00011440875,0.00037823722,0.0001242143,0.0003342891,0.00010184624,0.00036057955,0.00022877741],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010678074,0.00008856468,0.0056968937,0.000016293212,0.000008015021,0.0000052447213,0.00047104867,0.00032594084,0.0000031483041,0.9885826,0.0016456372,0.003049811],"study_design_scores_gemma":[0.0007157682,0.0000453281,0.5793688,0.000009575647,0.0000033960594,0.0000055553614,0.0003179489,0.0012621703,0.0000120259965,0.1373568,0.28045684,0.00044575532],"about_ca_topic_score_codex":0.00037312918,"about_ca_topic_score_gemma":0.0013533114,"teacher_disagreement_score":0.85122585,"about_ca_system_score_codex":0.00022725025,"about_ca_system_score_gemma":0.00007010788,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W2126457176","doi":"10.1080/09603100050031462","title":"Are forward premia mean reverting?","year":2000,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mean reversion; Economics; Inefficiency; Econometrics; Financial economics; Risk premium; Microeconomics","score_opus":0.017445612197221086,"score_gpt":0.18452380921807893,"score_spread":0.16707819702085785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126457176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57471687,0.00030261642,0.00011390564,0.0002948265,0.00038872845,0.0003170179,0.00013803829,0.00009526942,0.42363277],"genre_scores_gemma":[0.99087846,0.0007707846,0.0010163494,0.0033491373,0.00056679524,0.00011739065,0.000024992003,0.00007006749,0.0032060503],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975386,0.0000070497576,0.0010363836,0.00076267123,0.00002893212,0.0006263303],"domain_scores_gemma":[0.99857074,0.00003745682,0.0006756347,0.0005546624,0.000017285005,0.00014423722],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004157448,0.0003483979,0.00073010474,0.00013949143,0.00026952807,0.00014196563,0.0004326224,0.0002882399,0.0022090783],"category_scores_gemma":[0.00006852849,0.000442684,0.00020540252,0.00019317507,0.00013491722,0.0003475549,0.0000616719,0.00026648684,0.0032906265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009755056,0.00008247979,0.004785626,0.000028397591,0.000023898992,0.0000034219559,0.00022974108,0.0002225617,0.0000067870424,0.9690801,0.008649555,0.016789895],"study_design_scores_gemma":[0.000794441,0.00005238852,0.08161477,0.000018495357,0.000008705952,0.000003036313,0.000046122255,0.00025674189,0.00013689554,0.32549763,0.5908868,0.00068402383],"about_ca_topic_score_codex":0.0001215285,"about_ca_topic_score_gemma":0.0001189359,"teacher_disagreement_score":0.64358246,"about_ca_system_score_codex":0.00019131925,"about_ca_system_score_gemma":0.00005985548,"threshold_uncertainty_score":0.9998025},"labels":[],"label_agreement":null},{"id":"W2132038797","doi":"10.1080/0960310050391040","title":"Modelling heavy tails and skewness in film returns","year":2005,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Hong Kong","keywords":"Skewness; Skew; Revenue; Logarithm; Econometrics; Box office; Distribution (mathematics); Economics; Skew normal distribution; Physics; Mathematics; Business; Advertising; Finance; Mathematical analysis","score_opus":0.023047361733153752,"score_gpt":0.18626794110762818,"score_spread":0.16322057937447443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132038797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8675792,0.0011573834,0.0030748332,0.0007839163,0.00033421657,0.00038463564,0.000097570846,0.00004891758,0.12653932],"genre_scores_gemma":[0.9932817,0.0016988019,0.0032746373,0.00095026643,0.00034481086,0.00007936246,0.000019035984,0.00003875926,0.00031258256],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979729,0.000005724887,0.0008735017,0.0006310534,0.00001897466,0.00049785624],"domain_scores_gemma":[0.99926,0.000046441477,0.00028434012,0.00029932486,0.000010794933,0.00009909527],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045418896,0.00026976934,0.00059040484,0.00024389836,0.00013090597,0.00012387094,0.00021642564,0.00024789077,0.00007972993],"category_scores_gemma":[0.000029985515,0.00035006335,0.00007436947,0.00016115226,0.000116756164,0.00043593076,0.000087024564,0.00026507978,0.0002193815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005616824,0.000059569556,0.0016200762,0.000018834273,0.000005918064,0.0000012344084,0.00037679583,0.01992372,0.0000031125412,0.9743283,0.0002572147,0.003349078],"study_design_scores_gemma":[0.001548384,0.00006840612,0.011812979,0.000025814648,0.00000543998,0.000004217386,0.00012575579,0.111867145,0.00014571405,0.63689995,0.23660251,0.0008937015],"about_ca_topic_score_codex":0.00027737147,"about_ca_topic_score_gemma":0.00033464047,"teacher_disagreement_score":0.33742833,"about_ca_system_score_codex":0.00017489752,"about_ca_system_score_gemma":0.00006513586,"threshold_uncertainty_score":0.99989516},"labels":[],"label_agreement":null},{"id":"W2132612155","doi":"10.1080/09603100601018898","title":"Measuring bank profit efficiency","year":2007,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inefficiency; Profit (economics); Economics; Econometrics; Sample (material); Set (abstract data type); Microeconomics; Computer science","score_opus":0.07090950299853517,"score_gpt":0.29905157287937084,"score_spread":0.22814206988083569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132612155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8202322,0.000050375376,0.069913894,0.00017966077,0.00065809116,0.00023028832,0.0000051662096,0.00007477009,0.10865554],"genre_scores_gemma":[0.9961662,0.0000067976057,0.0024247386,0.00055911555,0.00031952062,0.000009132274,0.0000025031104,0.000022104356,0.00048983603],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965865,0.00002730173,0.0012680719,0.0008917172,0.000546854,0.00067958195],"domain_scores_gemma":[0.99743354,0.00084774825,0.00046805863,0.00091950916,0.00016151047,0.00016965665],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008227804,0.00023841533,0.0004811285,0.00053722685,0.0003983463,0.0002444611,0.0012373026,0.00019596922,0.00014231652],"category_scores_gemma":[0.0016664936,0.00022224015,0.00020903038,0.001149821,0.00019675768,0.0001954488,0.00020667614,0.00026549675,0.002129011],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014588292,0.00015423463,0.010339595,0.0000061184014,0.00001986558,0.00001506344,0.0010063834,0.0153891435,0.002180585,0.6469071,0.0017180851,0.32211795],"study_design_scores_gemma":[0.0030588317,0.00024028624,0.23657633,0.000038800037,0.00014293562,0.000040231105,0.0013847637,0.025819734,0.05769974,0.32467452,0.3470069,0.0033169563],"about_ca_topic_score_codex":0.000023872071,"about_ca_topic_score_gemma":0.00022331395,"teacher_disagreement_score":0.34528878,"about_ca_system_score_codex":0.00018471152,"about_ca_system_score_gemma":0.0002602453,"threshold_uncertainty_score":0.9986479},"labels":[],"label_agreement":null},{"id":"W2158573803","doi":"10.1080/09603101003724323","title":"Extreme value analysis of daily Canadian crude oil prices","year":2010,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Quantile; Generalized Pareto distribution; Extreme value theory; Econometrics; Economics; Value at risk; Crude oil; Expected shortfall; Range (aeronautics); Tail risk; Risk management; Statistics; Mathematics","score_opus":0.01538629004467362,"score_gpt":0.18790087487172513,"score_spread":0.1725145848270515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158573803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.789893,0.000061901475,0.0005510864,0.0001438518,0.000568493,0.00009364437,0.0008041289,0.000018375393,0.20786554],"genre_scores_gemma":[0.99662745,0.00013274825,0.0022438816,0.0003326842,0.00013312427,0.000028959901,0.00011221518,0.000028958699,0.0003599577],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9978657,0.0000049306286,0.0010148201,0.0006135812,0.000025656602,0.00047531238],"domain_scores_gemma":[0.99827236,0.00008272335,0.0006047833,0.0007466479,0.000037365684,0.0002560918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087087526,0.0002369598,0.0008523788,0.0008225696,0.00014794599,0.00006907406,0.00050449977,0.0003255915,0.0008734855],"category_scores_gemma":[0.00012808581,0.000316262,0.0003009213,0.00063343765,0.00012099468,0.00013556753,0.00007432742,0.00033516242,0.000070160684],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020534762,0.000052023628,0.11920562,0.000016638563,0.00019951636,7.066767e-7,0.00017134556,0.00019186556,0.00006268705,0.87439287,0.000114574126,0.005571646],"study_design_scores_gemma":[0.0006981831,0.000029529756,0.54643697,0.000003701922,0.00018493802,9.3342976e-7,0.000033694225,0.15130687,0.0000845296,0.09140044,0.20895797,0.0008622397],"about_ca_topic_score_codex":0.047747795,"about_ca_topic_score_gemma":0.2992844,"teacher_disagreement_score":0.7829924,"about_ca_system_score_codex":0.00015172547,"about_ca_system_score_gemma":0.00024309607,"threshold_uncertainty_score":0.99992895},"labels":[],"label_agreement":null},{"id":"W3123249774","doi":"10.1080/09603107.2010.505552","title":"Capital structures in an emerging market: a duration analysis of the time interval between IPO and SEO in China","year":2010,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; BP (Canada); Queen's University","funders":"","keywords":"Initial public offering; Capital structure; Monetary economics; Debt; Leverage (statistics); Pecking order theory; Business; Profitability index; Debt ratio; Equity (law); Financial system; Finance; Economics","score_opus":0.005268195194106103,"score_gpt":0.18420118216870238,"score_spread":0.17893298697459628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123249774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983577,0.0000041037533,0.000019490599,0.0001795184,0.00010324686,0.00014730821,0.00001973202,0.0000067388605,0.0011621411],"genre_scores_gemma":[0.9995447,0.0000042409506,0.000044568533,0.000121374585,0.00022941858,0.00000821182,0.000021412465,0.000009430597,0.000016666885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992669,0.000003498983,0.00032957576,0.0002168552,0.000039865085,0.00014329658],"domain_scores_gemma":[0.9994531,0.000014226452,0.0003328623,0.00018100848,0.000013245708,0.0000055472324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023484691,0.00011196185,0.00026999085,0.00020571555,0.000046449055,0.0000556171,0.00017843152,0.000083489555,0.00004911514],"category_scores_gemma":[0.000026353617,0.00010421489,0.000048037535,0.0004462543,0.000048152437,0.00043294014,0.00009290762,0.00017634757,0.000003291963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049632934,0.000022749726,0.9614803,0.000017167917,0.0000169858,6.1980825e-7,0.00021269296,0.00062817807,0.0006485236,0.02668407,0.000048425543,0.01019064],"study_design_scores_gemma":[0.00029309271,0.0000028474803,0.9822926,0.0000053162003,0.00004854448,8.103436e-8,0.000017330165,0.0077280616,0.000043131167,0.00896235,0.00048804446,0.00011860506],"about_ca_topic_score_codex":0.00091768824,"about_ca_topic_score_gemma":0.021194743,"teacher_disagreement_score":0.020812282,"about_ca_system_score_codex":0.00001961,"about_ca_system_score_gemma":0.0000242247,"threshold_uncertainty_score":0.9966659},"labels":[],"label_agreement":null},{"id":"W3124496055","doi":"10.1080/09603107.2014.924289","title":"Unconstrained strategies and the variance-kurtosis trade-off","year":2014,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kurtosis; Economics; Variance (accounting); Econometrics; Statistics; Mathematics","score_opus":0.013819487816367772,"score_gpt":0.18195284871947415,"score_spread":0.16813336090310638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124496055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7103987,0.0016969602,0.111184865,0.002989061,0.001103024,0.0009238603,0.00013854998,0.00014906374,0.17141593],"genre_scores_gemma":[0.99586767,0.00076337886,0.0016692773,0.0010744812,0.0004332155,0.00008578138,0.000012615253,0.000035761677,0.000057802215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980076,0.000020156882,0.000883712,0.00061959814,0.00002513292,0.00044377884],"domain_scores_gemma":[0.99879503,0.00025245297,0.00038490276,0.00046081207,0.000012128175,0.00009467149],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001322641,0.00028859713,0.00073743955,0.0001041958,0.00037221902,0.00028649953,0.00033434713,0.00024000245,0.00004137661],"category_scores_gemma":[0.00017795597,0.0002844135,0.00015190188,0.00014398375,0.00046518276,0.00033586659,0.00009175154,0.00031579792,0.000113643626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009669876,0.000016984446,0.00043083823,0.000013759711,0.000016327222,1.6395818e-7,0.0005857323,0.00086478464,0.000004780087,0.97142154,0.00010830357,0.0264401],"study_design_scores_gemma":[0.0025577452,0.00004097018,0.010315296,0.00000805087,0.000016338856,0.0000030461438,0.00020948409,0.049096372,0.000021562739,0.8448271,0.092442185,0.0004618374],"about_ca_topic_score_codex":0.00023810724,"about_ca_topic_score_gemma":0.00017164901,"teacher_disagreement_score":0.285469,"about_ca_system_score_codex":0.000082991595,"about_ca_system_score_gemma":0.0001175562,"threshold_uncertainty_score":0.9999608},"labels":[],"label_agreement":null},{"id":"W3125270711","doi":"10.1080/09603100410001673612","title":"Expiration day effects of index futures and options: evidence from a market with a long settlement period","year":2004,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Futures contract; Economics; Expiration; Settlement (finance); Index (typography); Financial economics; Cash; Sample (material); Expiration date; Period (music); Monetary economics; Futures market; Macroeconomics; Finance; Medicine","score_opus":0.00877162427989483,"score_gpt":0.18745123359186466,"score_spread":0.17867960931196983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125270711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96282405,0.0011652572,0.033147614,0.00017951924,0.00019030107,0.0005475834,0.00022134533,0.000017751738,0.0017066066],"genre_scores_gemma":[0.9959769,0.0007843636,0.0028136305,0.00012608348,0.00010987382,0.00010938968,0.00003226833,0.000020741581,0.000026747672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865746,0.000011072808,0.0005688606,0.00051938003,0.000027243233,0.00021597277],"domain_scores_gemma":[0.9990045,0.00012811941,0.00041398525,0.00036067414,0.000020869273,0.00007187121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046783537,0.00019918167,0.00044419465,0.0001131642,0.00012138642,0.000070619295,0.00015656043,0.00014463278,0.0000809893],"category_scores_gemma":[0.000095588635,0.00022563874,0.00005649002,0.00010328623,0.00009977978,0.00023062734,0.00008093216,0.00014031984,0.000006266725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006586477,0.00030066652,0.54417944,0.0003465356,0.0001684829,0.000008362991,0.0031438046,0.0012263913,0.00008227755,0.42885745,0.000114575254,0.020913348],"study_design_scores_gemma":[0.0018685507,0.00016152949,0.8913669,0.000108686785,0.00002137364,0.0000018848503,0.000075739685,0.008925948,0.00018590524,0.09572622,0.0011266598,0.00043061818],"about_ca_topic_score_codex":0.00042438338,"about_ca_topic_score_gemma":0.0011452459,"teacher_disagreement_score":0.34718743,"about_ca_system_score_codex":0.00015216417,"about_ca_system_score_gemma":0.00008287466,"threshold_uncertainty_score":0.92012805},"labels":[],"label_agreement":null}]}