{"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5330877,0.0007804583,0.4338402,0.003283761,0.00010757477,0.0001427524,0.0007814063,0.00034777593,0.02762852],"genre_scores_gemma":[0.98117,0.00042239952,0.0093691945,0.00010756902,0.000065517015,0.000070472066,0.00019358659,0.000035598907,0.008565685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990331,0.0003927246,0.000038983024,0.00018000728,0.00015420144,0.00020105869],"domain_scores_gemma":[0.99664354,0.0017443169,0.0006543369,0.00029434252,0.0002662373,0.00039725707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031880005,0.00095548556,0.0013055073,0.0011792795,0.00067329704,0.003912784,0.0029341718,0.0026901325,0.006734265],"category_scores_gemma":[0.007007895,0.00077293103,0.0017038283,0.0012082919,0.0020228396,0.0039730077,0.0018827226,0.0024334788,0.0007641966],"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":[0.00018023662,0.000192207,0.004210404,0.000042954023,0.00011677983,0.00054083,0.00032138373,0.6518339,0.0011939727,0.33425593,0.00080792466,0.0063034273],"study_design_scores_gemma":[0.00003341421,0.000042482436,0.0007716378,0.0000069589837,0.000027243781,0.00004515948,0.000044305616,0.9349619,0.00006466823,0.06361058,0.0003718941,0.000019750967],"about_ca_topic_score_codex":0.008661267,"about_ca_topic_score_gemma":0.004000449,"teacher_disagreement_score":0.008661267,"about_ca_system_score_codex":0.0018929556,"about_ca_system_score_gemma":0.00089933584,"threshold_uncertainty_score":0.02252829},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86072546,0.0012689937,0.13527562,0.00025855852,0.000055064666,0.000020773392,0.00022925196,0.00018904984,0.00197724],"genre_scores_gemma":[0.9915848,0.00030736421,0.0073311203,0.000014904616,0.000021851569,0.00000919714,0.00018454652,0.000010546322,0.0005356771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958485,0.00016431321,0.000032281223,0.00007559492,0.000083183295,0.000059739632],"domain_scores_gemma":[0.9986665,0.000851469,0.00023299632,0.000086690365,0.00012730778,0.000035105397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002106128,0.0005615534,0.0005664393,0.00083880743,0.0001869848,0.0010921776,0.00048959756,0.0006549169,0.0006805819],"category_scores_gemma":[0.0056009837,0.00024813853,0.0006952159,0.00078965863,0.00025409219,0.0013675466,0.0004272093,0.00055731146,0.00013136909],"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":[0.0003016016,0.00009073794,0.03844449,0.00009816212,0.00029007273,0.00020634664,0.00015877541,0.8851371,0.0024630283,0.012809448,0.00054066506,0.05945958],"study_design_scores_gemma":[0.00001375512,0.000065753615,0.006595035,0.000010043643,0.00004274457,0.000027629489,0.000030364568,0.9869265,0.0005701257,0.005494985,0.00021131188,0.00001167942],"about_ca_topic_score_codex":0.008073348,"about_ca_topic_score_gemma":0.008400421,"teacher_disagreement_score":0.008073348,"about_ca_system_score_codex":0.00039500312,"about_ca_system_score_gemma":0.0005690888,"threshold_uncertainty_score":0.016052723},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.751923,0.0063708755,0.22502254,0.0047360854,0.00009562687,0.000108391985,0.0017170395,0.00018991664,0.009836546],"genre_scores_gemma":[0.98625225,0.0009829454,0.011062456,0.00012443434,0.00011432434,0.000037407495,0.00075702806,0.000018552912,0.00065066695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984554,0.0007090382,0.000105132734,0.00030020188,0.0003135584,0.00011668249],"domain_scores_gemma":[0.96461403,0.026876599,0.0049402216,0.002206315,0.0009210508,0.00044169876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055055893,0.0004856099,0.0010679659,0.0030121529,0.0006632073,0.0036817626,0.00079501595,0.0010451947,0.0021228935],"category_scores_gemma":[0.03808215,0.0003949909,0.00067433895,0.0037938629,0.0014591626,0.0040011085,0.0015847583,0.001943051,0.0004248364],"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":[0.00039242712,0.0002317622,0.5418778,0.00020733899,0.0006417732,0.00034828176,0.001029199,0.06743665,0.0010902234,0.20255268,0.0031257838,0.18106611],"study_design_scores_gemma":[0.000078871555,0.0001252856,0.24622615,0.00024131151,0.00030796955,0.0003526658,0.0005058505,0.2703608,0.0013848186,0.47393334,0.006336964,0.00014591169],"about_ca_topic_score_codex":0.0041035307,"about_ca_topic_score_gemma":0.0038619821,"teacher_disagreement_score":0.0055055893,"about_ca_system_score_codex":0.0009522824,"about_ca_system_score_gemma":0.0006148237,"threshold_uncertainty_score":0.02911669},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886537,0.000028993327,0.00009139793,0.00005598201,0.0000033766075,0.000006788099,0.000068608264,0.0000020137702,0.00087742513],"genre_scores_gemma":[0.9994099,0.000017465565,0.00005880922,0.000019887306,0.000006280681,0.000011499269,0.00009543148,0.0000014004502,0.00037921942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983429,0.0009054908,0.000072921706,0.00022594887,0.00013910778,0.0003135697],"domain_scores_gemma":[0.9512958,0.03540817,0.008475446,0.0014089466,0.00046951804,0.0029421772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021267687,0.00047480338,0.0003751665,0.00050659414,0.0003776262,0.0011340171,0.000549639,0.0010387914,0.0057543563],"category_scores_gemma":[0.015194934,0.00022507679,0.0006560067,0.00043300982,0.0008571706,0.0007863393,0.0010535362,0.0011565199,0.0008089049],"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":[0.0025771747,0.0018982092,0.9814231,0.000036028036,0.00036715035,0.00016064057,0.00033017466,0.001660734,0.0022738173,0.00086211454,0.00020174087,0.008209148],"study_design_scores_gemma":[0.000052186584,0.001019542,0.9954787,0.000007926808,0.00008419817,0.00003421109,0.00020494536,0.0018839651,0.0005521972,0.00047334493,0.00020143497,0.0000074993422],"about_ca_topic_score_codex":0.0013501587,"about_ca_topic_score_gemma":0.0010578794,"teacher_disagreement_score":0.0057543563,"about_ca_system_score_codex":0.00032215138,"about_ca_system_score_gemma":0.00029757037,"threshold_uncertainty_score":0.019250214},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985499,0.00027832857,0.00004834214,0.00014481833,0.000003764769,0.000003128046,0.00017679698,0.0000010525292,0.0007937968],"genre_scores_gemma":[0.99955875,0.00008432272,0.000012562759,0.000006824368,0.0000028032696,0.0000012382857,0.00012461246,7.226577e-7,0.00020818032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996088,0.00008869337,0.000048035763,0.000054528653,0.00009278017,0.00010719306],"domain_scores_gemma":[0.99221474,0.00092542527,0.005763387,0.00011879172,0.0003323713,0.0006452545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006062193,0.00009148457,0.00015147924,0.00070829643,0.00018907235,0.0009574814,0.00027540774,0.00033896766,0.0025066815],"category_scores_gemma":[0.00517986,0.00013745001,0.00021164266,0.00081434764,0.00039044564,0.0007745831,0.0006259245,0.00041119452,0.00018750738],"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":[0.000045762976,0.000031367184,0.9956577,0.000008546401,0.000036477875,0.0002143149,0.00030472086,0.00047759162,0.000104583705,0.0001262459,0.00022681976,0.0027659817],"study_design_scores_gemma":[0.0000031289396,0.000020084992,0.99848086,0.0000103262655,0.000008182533,0.00015047692,0.00041327046,0.00040512,0.000042038144,0.0000829463,0.00037948793,0.000004097199],"about_ca_topic_score_codex":0.038190298,"about_ca_topic_score_gemma":0.045986917,"teacher_disagreement_score":0.038190298,"about_ca_system_score_codex":0.000904078,"about_ca_system_score_gemma":0.00032000372,"threshold_uncertainty_score":0.07593602},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05796626,0.008969859,0.9286188,0.00045672565,0.00022518192,0.00015504092,0.00028889373,0.0007275251,0.0025916921],"genre_scores_gemma":[0.5563955,0.0052340366,0.4342221,0.0002166461,0.00049725425,0.00040194328,0.0010517942,0.0004286326,0.0015520654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.988865,0.006895365,0.0007685766,0.00082919194,0.0023960902,0.00024583345],"domain_scores_gemma":[0.8954387,0.091337316,0.0047433134,0.0037991065,0.004059952,0.0006216677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021740701,0.0015678453,0.0019177137,0.0055506066,0.0004953199,0.0030772095,0.0021753449,0.0020697943,0.0017036574],"category_scores_gemma":[0.06690224,0.00050498487,0.0018774146,0.0029956305,0.0012606982,0.005013171,0.0020255405,0.00334837,0.00048282716],"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":[0.0011202609,0.00030189723,0.018230269,0.00093013473,0.00093269465,0.00019806279,0.0005305619,0.5044385,0.0011291086,0.09251952,0.0031724456,0.3764965],"study_design_scores_gemma":[0.00004776257,0.000310646,0.004044766,0.0001899479,0.0000747914,0.00011330003,0.00013953137,0.9635755,0.0005625024,0.029043486,0.0018166279,0.00008112601],"about_ca_topic_score_codex":0.0020164368,"about_ca_topic_score_gemma":0.0011233044,"teacher_disagreement_score":0.021740701,"about_ca_system_score_codex":0.0012114864,"about_ca_system_score_gemma":0.0009069083,"threshold_uncertainty_score":0.11497718},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2687678,0.0012307016,0.7187306,0.0006560947,0.000081374434,0.000091445414,0.001108545,0.0007540539,0.008579347],"genre_scores_gemma":[0.98268384,0.0012324405,0.013724788,0.00009666241,0.00009534611,0.00005616972,0.0007410547,0.00009221322,0.001277478],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862826,0.0004850186,0.00010427177,0.0002590479,0.00036599344,0.00015740858],"domain_scores_gemma":[0.9874966,0.0083276285,0.0016609265,0.0015018615,0.00088227465,0.00013070829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004440879,0.00066695426,0.0008667446,0.0014454403,0.0003039261,0.0020063566,0.00090540375,0.0007761994,0.0028293205],"category_scores_gemma":[0.023883171,0.00036799925,0.0009641245,0.0017439821,0.0018680452,0.0034011204,0.0010078681,0.0014468651,0.0007418579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028113773,0.000118445096,0.0767673,0.00031239266,0.00033259325,0.0019298438,0.00075876317,0.37839094,0.007777975,0.42003074,0.0041516665,0.10914815],"study_design_scores_gemma":[0.000023288678,0.00010725744,0.041874327,0.00012913556,0.00010482389,0.0017787504,0.0002785604,0.6311291,0.0029301813,0.31797275,0.0035473425,0.00012453702],"about_ca_topic_score_codex":0.0021816853,"about_ca_topic_score_gemma":0.0015900135,"teacher_disagreement_score":0.004440879,"about_ca_system_score_codex":0.0008639255,"about_ca_system_score_gemma":0.0007171302,"threshold_uncertainty_score":0.02348584},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98751056,0.00022433435,0.009030373,0.00040759036,0.000010214174,0.000013275478,0.00010692654,0.000026155092,0.0026704362],"genre_scores_gemma":[0.99849665,0.00019430098,0.00040184185,0.000009892754,0.000008475612,0.0000027671888,0.000048366306,0.0000022016804,0.0008356024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988425,0.000022471393,0.000005140111,0.000020889385,0.00002869334,0.00003849191],"domain_scores_gemma":[0.99853194,0.0006946318,0.00036963722,0.00007098019,0.00015957223,0.00017317866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007078821,0.00026866415,0.00040683712,0.00054244656,0.0006368688,0.0016759472,0.00050473993,0.00045159963,0.0012616989],"category_scores_gemma":[0.0042616753,0.00030513766,0.00036370466,0.0003627166,0.0010620346,0.0013728119,0.0005543,0.0009370709,0.00014568312],"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":[0.00041878113,0.00026557958,0.21989407,0.000077771845,0.00029246538,0.0011565905,0.00077935297,0.547388,0.0044815657,0.2046494,0.0018974207,0.018698987],"study_design_scores_gemma":[0.00007757848,0.00009267651,0.0892894,0.000017745897,0.00014194963,0.00010115025,0.00043374166,0.84182876,0.0010816955,0.06483534,0.002045592,0.000054390595],"about_ca_topic_score_codex":0.24683075,"about_ca_topic_score_gemma":0.25842476,"teacher_disagreement_score":0.24683075,"about_ca_system_score_codex":0.0025374952,"about_ca_system_score_gemma":0.0018974754,"threshold_uncertainty_score":0.4907881},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957558,0.00026352747,0.00046240454,0.0001864515,0.0000071793606,0.000016644173,0.0014114094,0.00002880703,0.0018677426],"genre_scores_gemma":[0.9974982,0.00019508654,0.0002668631,0.000014134098,0.00000782261,0.0000049140685,0.0016381603,0.000004282784,0.0003704312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985373,0.000008400999,0.000006484797,0.000019965628,0.00006067102,0.000050782925],"domain_scores_gemma":[0.99923074,0.00008794277,0.00019997661,0.000026343585,0.0003565638,0.00009846644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045987716,0.00029526604,0.0003525996,0.0029175302,0.00084058975,0.00076360116,0.00037058385,0.00028569874,0.00082258816],"category_scores_gemma":[0.0019348365,0.00016930353,0.00029877,0.0025686864,0.0003392237,0.00034225557,0.0003153124,0.00034866325,0.00012224556],"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":[0.00043033043,0.00014295096,0.89823014,0.00009387147,0.00018840362,0.0009870565,0.0014348855,0.032277223,0.004378066,0.0071056187,0.006743854,0.047987755],"study_design_scores_gemma":[0.0000051941743,0.000014916746,0.976926,0.00000881216,0.00001700342,0.000051534746,0.00033870834,0.020675281,0.0003324669,0.00025022755,0.0013656804,0.000014159357],"about_ca_topic_score_codex":0.8613397,"about_ca_topic_score_gemma":0.87609833,"teacher_disagreement_score":0.13866031,"about_ca_system_score_codex":0.00468913,"about_ca_system_score_gemma":0.0034259178,"threshold_uncertainty_score":0.2789538},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968039,0.0004755296,0.0008787706,0.00029711676,0.00000951129,0.000008713662,0.0000903293,0.000011136645,0.0014251217],"genre_scores_gemma":[0.99931407,0.00014813872,0.00011508879,0.00002885576,0.000018899973,0.000002756761,0.00009579288,0.000002624994,0.00027381213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945027,0.00017647156,0.00004328025,0.00009447499,0.00009501995,0.000140507],"domain_scores_gemma":[0.9857157,0.008341799,0.0039728843,0.00064985047,0.0003927563,0.00092708576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025239333,0.000536993,0.00071096094,0.001412228,0.00018556321,0.0016373285,0.00047439578,0.0011772005,0.0037585944],"category_scores_gemma":[0.016752588,0.00023500965,0.0008598132,0.0012569329,0.00084544317,0.0018102679,0.0008101499,0.0012400522,0.0006858916],"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":[0.00019095239,0.00008846942,0.98720294,0.000020062726,0.00023184236,0.00018579539,0.00015179545,0.0016534822,0.00042421604,0.001912958,0.000118980504,0.007818542],"study_design_scores_gemma":[0.000016973554,0.00014640654,0.9810178,0.000014975024,0.00011494618,0.00030808695,0.00037910306,0.011020036,0.00042338454,0.006229552,0.0003100701,0.00001866144],"about_ca_topic_score_codex":0.0022551967,"about_ca_topic_score_gemma":0.0013040204,"teacher_disagreement_score":0.0037585944,"about_ca_system_score_codex":0.0003189675,"about_ca_system_score_gemma":0.00029397118,"threshold_uncertainty_score":0.013347983},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86557823,0.011159658,0.05091576,0.0054133446,0.00032951526,0.00012142436,0.000645913,0.0000914961,0.06574475],"genre_scores_gemma":[0.9925568,0.002110073,0.0040294346,0.00010860487,0.00010111779,0.00005139445,0.00013740128,0.000008480922,0.00089660997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99624443,0.0026335134,0.00013874218,0.00018694103,0.00053045107,0.0002659006],"domain_scores_gemma":[0.9907697,0.00623695,0.0015584562,0.0006966405,0.0005804241,0.00015795999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061508752,0.0006455591,0.0008022437,0.0021058095,0.00077215803,0.0032423309,0.00042340337,0.0010992613,0.0028761085],"category_scores_gemma":[0.021297686,0.00019228285,0.00062929903,0.0037924894,0.0019010704,0.0023551993,0.0016473338,0.0009633087,0.00019231734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002134189,0.0003985671,0.033178706,0.00048058355,0.0007521947,0.00039711964,0.0009907141,0.110107526,0.0015522623,0.6838523,0.0035902457,0.16256556],"study_design_scores_gemma":[0.0001370026,0.00039420513,0.03817402,0.00027116816,0.00028034032,0.00022252208,0.0009816411,0.059083592,0.0008553588,0.8948953,0.004651931,0.00005286618],"about_ca_topic_score_codex":0.0010347954,"about_ca_topic_score_gemma":0.00097087934,"teacher_disagreement_score":0.0061508752,"about_ca_system_score_codex":0.0016173196,"about_ca_system_score_gemma":0.0005531083,"threshold_uncertainty_score":0.032529294},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400043,0.0006354995,0.0012634265,0.00022802463,0.00001330663,0.0000040892446,0.000026196849,0.000010136278,0.0038189015],"genre_scores_gemma":[0.99904925,0.00009451836,0.00023302426,0.000010170891,0.00001772707,0.0000019215895,0.00001947569,0.000002025583,0.00057185465],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9998735,0.00002535875,0.0000059130775,0.00003174342,0.000028278831,0.000035161],"domain_scores_gemma":[0.99964654,0.00010430853,0.00012792245,0.0000207459,0.000048174887,0.00005238369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044793842,0.00012387629,0.00029511718,0.0010000031,0.0005804169,0.0011297383,0.0002215188,0.0003100868,0.0025058123],"category_scores_gemma":[0.0023645295,0.000073826035,0.00029883836,0.00057317206,0.00056780176,0.000713693,0.00052268396,0.000309768,0.00014023947],"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":[0.00094669714,0.00022535489,0.38318366,0.00022535792,0.00035137654,0.006392556,0.009007317,0.028983908,0.032401145,0.41939366,0.0037925567,0.115096465],"study_design_scores_gemma":[0.00007384904,0.00015714935,0.66446686,0.00006924466,0.000120900695,0.0016931357,0.0033642063,0.17643277,0.0029012754,0.1385842,0.012057421,0.00007904174],"about_ca_topic_score_codex":0.006777913,"about_ca_topic_score_gemma":0.0030545753,"teacher_disagreement_score":0.006777913,"about_ca_system_score_codex":0.0006360132,"about_ca_system_score_gemma":0.0003016401,"threshold_uncertainty_score":0.013476908},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95971966,0.0022588763,0.031940173,0.00069119805,0.00006768549,0.00008932296,0.00082138146,0.00027931575,0.0041324324],"genre_scores_gemma":[0.9796428,0.00093281164,0.017950643,0.000026467598,0.000019113591,0.000027307795,0.00056580076,0.000021248943,0.0008136896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830365,0.0006198066,0.00009399915,0.00014951066,0.00066517876,0.00016790355],"domain_scores_gemma":[0.9880733,0.007805639,0.0005614341,0.0006411418,0.0027210366,0.0001974719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007284983,0.0006291725,0.0006417827,0.0016791279,0.000839116,0.0010519215,0.0012475329,0.0007400556,0.0006746954],"category_scores_gemma":[0.034479875,0.0002209598,0.0005879399,0.0029757584,0.00044735082,0.00090237614,0.00069042767,0.0008897154,0.000087784654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011680668,0.00036090694,0.09827571,0.00043463268,0.0004325816,0.00041802542,0.0012840343,0.6003205,0.0020502293,0.014467429,0.00386711,0.27692077],"study_design_scores_gemma":[0.00009402015,0.00020679274,0.108191825,0.000055578428,0.00009876634,0.00014387381,0.0005818332,0.88179266,0.0031905798,0.0024012378,0.0030726334,0.00017024687],"about_ca_topic_score_codex":0.78093874,"about_ca_topic_score_gemma":0.721594,"teacher_disagreement_score":0.21906126,"about_ca_system_score_codex":0.004849191,"about_ca_system_score_gemma":0.0055369395,"threshold_uncertainty_score":0.44070268},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989102,0.00014852181,0.00014118913,0.00006776467,0.0000025420586,0.0000035789162,0.00007468274,0.000004528123,0.00064709556],"genre_scores_gemma":[0.9993938,0.00019779221,0.00006836181,0.000011713297,0.0000037346513,0.0000019941176,0.00017825872,0.0000013677727,0.00014302252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996069,0.00010750234,0.00004689483,0.00007731157,0.00009013864,0.000071277456],"domain_scores_gemma":[0.99708396,0.0009786376,0.0010408625,0.00028277215,0.00043132986,0.00018242662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001522607,0.00024163633,0.0004954042,0.00079325127,0.00049269164,0.0010210259,0.00039584376,0.00036518698,0.0010754295],"category_scores_gemma":[0.004863887,0.0001769674,0.0003552943,0.0014070389,0.00062266743,0.00052925444,0.00034257353,0.00035820587,0.00014951528],"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":[0.0004361702,0.0001883533,0.9312854,0.00018880975,0.00033595995,0.00074726006,0.0018340787,0.027656514,0.0015385203,0.0049360734,0.001089915,0.029763041],"study_design_scores_gemma":[0.000100090925,0.00013942205,0.954804,0.000046329245,0.00022573893,0.00012954322,0.0007951468,0.039090607,0.0008416035,0.0021865226,0.0016096167,0.000031251253],"about_ca_topic_score_codex":0.07518663,"about_ca_topic_score_gemma":0.050302234,"teacher_disagreement_score":0.07518663,"about_ca_system_score_codex":0.0012371872,"about_ca_system_score_gemma":0.0015174001,"threshold_uncertainty_score":0.14949799},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9563391,0.0017422689,0.023279727,0.0025850509,0.000024977016,0.000048699847,0.001209041,0.00019260998,0.014578549],"genre_scores_gemma":[0.99497014,0.00047785207,0.0014909228,0.000031916057,0.00000833597,0.000005916909,0.00033934915,0.000017060935,0.0026584961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992932,0.0001501068,0.000036574078,0.00011395341,0.00022037061,0.00018570077],"domain_scores_gemma":[0.9972083,0.0014891971,0.0004750373,0.00011156066,0.00053855224,0.0001773621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025024668,0.00047535312,0.00054347486,0.0016645028,0.0011512822,0.003290786,0.0010103394,0.00056706916,0.0023822393],"category_scores_gemma":[0.017045053,0.00035942846,0.00073490303,0.0016967036,0.0014086155,0.0020014923,0.0008162911,0.0011289793,0.0001536195],"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":[0.00029698687,0.00008757554,0.26992372,0.00009802497,0.00021188402,0.00054088625,0.001535079,0.39507595,0.0006461626,0.26605478,0.00401883,0.061510157],"study_design_scores_gemma":[0.00006266502,0.000036386355,0.23725273,0.00007228648,0.00008998557,0.00014590578,0.00061132415,0.6887332,0.0006268454,0.06509516,0.0071292645,0.00014424032],"about_ca_topic_score_codex":0.94844854,"about_ca_topic_score_gemma":0.90213984,"teacher_disagreement_score":0.05155146,"about_ca_system_score_codex":0.021557113,"about_ca_system_score_gemma":0.010496246,"threshold_uncertainty_score":0.15640855},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97912794,0.0020922758,0.00041523948,0.0012882217,0.000020067062,0.000029371535,0.0041961786,0.000013440423,0.012817268],"genre_scores_gemma":[0.9931462,0.002037129,0.00035847127,0.00010033849,0.000008327738,0.000006252762,0.0021620234,0.000009319246,0.0021720799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990884,0.00006394762,0.00004806688,0.00011355408,0.0004641982,0.00022170243],"domain_scores_gemma":[0.9900926,0.0018946572,0.0015554645,0.00044855473,0.0052947584,0.0007139633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261303,0.00026656123,0.00048924837,0.0015401563,0.0028126636,0.0022931634,0.0010746047,0.0005150312,0.0035031822],"category_scores_gemma":[0.009706509,0.00025031177,0.00038075994,0.0075346082,0.001258899,0.0007609153,0.00078381965,0.00084331346,0.00027261817],"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":[0.00083329016,0.00017578313,0.89113504,0.000333734,0.0002828806,0.0010392274,0.006286751,0.0022560596,0.0007148942,0.013584291,0.009888806,0.073469155],"study_design_scores_gemma":[0.00005276983,0.000045099594,0.97767603,0.00013017534,0.00014791805,0.000150411,0.004180762,0.0025458513,0.00057349383,0.0009781995,0.013453715,0.000065500106],"about_ca_topic_score_codex":0.9958406,"about_ca_topic_score_gemma":0.99608624,"teacher_disagreement_score":0.020686314,"about_ca_system_score_codex":0.020686314,"about_ca_system_score_gemma":0.036885038,"threshold_uncertainty_score":0.1500904},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92688537,0.008746247,0.0035260133,0.009935732,0.00010955237,0.000022857064,0.0001771261,0.000041662486,0.050555427],"genre_scores_gemma":[0.9973156,0.0015803301,0.00045204296,0.00007264209,0.000029571313,0.0000033550557,0.000029638395,0.0000023079178,0.0005144782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909747,0.00045794278,0.000044142416,0.00009112739,0.00019296398,0.00011632739],"domain_scores_gemma":[0.9903689,0.0060832673,0.0019510688,0.00021381583,0.00074347813,0.00063943985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001796875,0.00034031592,0.00029317263,0.0018783584,0.00041403066,0.0025131782,0.00015692174,0.0005239767,0.0045258077],"category_scores_gemma":[0.007941345,0.00016129093,0.00015142407,0.0023867574,0.0017225246,0.0021794683,0.0021665958,0.0010927478,0.0002683815],"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":[0.00026601471,0.00016385879,0.7824722,0.0002437715,0.00025221196,0.0009439868,0.0017004667,0.00531789,0.0010167119,0.09201392,0.0015051176,0.11410385],"study_design_scores_gemma":[0.00007753889,0.0003179214,0.8596201,0.00050397136,0.00024589486,0.0008815621,0.0059614503,0.0103733335,0.00086434296,0.0988657,0.0222094,0.00007868195],"about_ca_topic_score_codex":0.00096092216,"about_ca_topic_score_gemma":0.0011773362,"teacher_disagreement_score":0.0045258077,"about_ca_system_score_codex":0.00058830786,"about_ca_system_score_gemma":0.00077689724,"threshold_uncertainty_score":0.015140355},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023251163,0.0005920333,0.96803993,0.00027832855,0.000059113827,0.000062469226,0.0008209463,0.00035539907,0.0065406654],"genre_scores_gemma":[0.6828478,0.002355247,0.29788175,0.0001385032,0.00011638173,0.00020722015,0.0024389608,0.00011028766,0.01390378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953794,0.00007125153,0.000025156105,0.00011269529,0.00016511479,0.00008783885],"domain_scores_gemma":[0.99914026,0.00038250763,0.00012032636,0.00004115467,0.00028867682,0.000027062782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126116,0.000755185,0.00060139754,0.0011110911,0.0009171627,0.0014255355,0.00095730764,0.0006432183,0.002322662],"category_scores_gemma":[0.0052605504,0.00040232966,0.0006884256,0.0013819989,0.0004580838,0.0012126063,0.0003915773,0.0009735122,0.0004051045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009455188,0.00003198031,0.008027112,0.00012742069,0.00014377128,0.00012736737,0.00029426784,0.7375404,0.0031479523,0.14383921,0.0027689578,0.10385704],"study_design_scores_gemma":[0.0000121569365,0.000023367767,0.005438975,0.00002541678,0.000046285433,0.00003783184,0.000052434716,0.9637088,0.0010368361,0.024761317,0.004799574,0.000056900684],"about_ca_topic_score_codex":0.61757904,"about_ca_topic_score_gemma":0.5181309,"teacher_disagreement_score":0.38242096,"about_ca_system_score_codex":0.004597393,"about_ca_system_score_gemma":0.0074924505,"threshold_uncertainty_score":0.76934624},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98303586,0.0016638113,0.00018578325,0.00084805064,0.00001558878,0.000013282719,0.00072110636,0.000007073409,0.013509487],"genre_scores_gemma":[0.99502313,0.0015217252,0.00023880744,0.00014283825,0.000010305118,0.000004559187,0.00064458954,0.0000067975684,0.002407221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987392,0.00011961574,0.0000575775,0.00014716537,0.00068045687,0.00025602416],"domain_scores_gemma":[0.9879851,0.0017505939,0.0016944997,0.00040612958,0.007090534,0.0010732132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012060703,0.0001767839,0.00033359253,0.0019533117,0.0022088091,0.0016357065,0.00061185384,0.00035441303,0.0015059335],"category_scores_gemma":[0.009617079,0.00018866934,0.00021170321,0.00550049,0.0011931629,0.0006694998,0.0009997864,0.0006268651,0.00012364499],"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":[0.00039994597,0.00008507464,0.8763503,0.00025130165,0.00020805583,0.0012465885,0.024166249,0.0006703365,0.0008429031,0.008059561,0.0069862623,0.08073357],"study_design_scores_gemma":[0.0000073706715,0.000022955948,0.98290825,0.0000685042,0.000046592875,0.00012954419,0.004964575,0.0004425236,0.00021138464,0.0002730506,0.010896695,0.00002842898],"about_ca_topic_score_codex":0.98136663,"about_ca_topic_score_gemma":0.98523813,"teacher_disagreement_score":0.018633366,"about_ca_system_score_codex":0.009982482,"about_ca_system_score_gemma":0.016028538,"threshold_uncertainty_score":0.072428286},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8351375,0.022644244,0.045478348,0.019556032,0.00076601433,0.00014122482,0.0073353755,0.00036336735,0.0685779],"genre_scores_gemma":[0.98371214,0.005277194,0.005894914,0.00072457595,0.000760402,0.000032750533,0.0022309774,0.000074832,0.0012921226],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969482,0.0006951477,0.00044926262,0.0007507989,0.0010350858,0.00012153962],"domain_scores_gemma":[0.88781106,0.057224818,0.032885563,0.010498228,0.009545349,0.0020349317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006292266,0.0006599743,0.0006463083,0.0049266345,0.000540053,0.0036714748,0.00094607193,0.0010046652,0.0038760428],"category_scores_gemma":[0.06761343,0.00028766447,0.000659247,0.009209862,0.0019479138,0.008285946,0.0019426477,0.0024267768,0.0008264935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006098455,0.00015643425,0.74809444,0.000877661,0.0007136606,0.0002177092,0.0012274362,0.0036268295,0.0021688866,0.0401473,0.008367503,0.19379231],"study_design_scores_gemma":[0.00007438529,0.00024259715,0.89308935,0.0008055698,0.0006659792,0.00053276506,0.0013858362,0.018185053,0.0048184106,0.043634843,0.03639763,0.0001675993],"about_ca_topic_score_codex":0.0030029337,"about_ca_topic_score_gemma":0.0022907767,"teacher_disagreement_score":0.006292266,"about_ca_system_score_codex":0.00068974367,"about_ca_system_score_gemma":0.00050773623,"threshold_uncertainty_score":0.033277094},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35516807,0.0013902151,0.44739723,0.0018617448,0.0004857096,0.00022530538,0.00015078989,0.00035114912,0.19296978],"genre_scores_gemma":[0.96035504,0.00023013318,0.029534983,0.00020422335,0.00017647835,0.00010816709,0.000054924523,0.00005338394,0.009282607],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99847335,0.00044856966,0.00017109097,0.0003668205,0.00040899386,0.00013119262],"domain_scores_gemma":[0.99636734,0.001200643,0.0007763653,0.0010228383,0.0003882713,0.0002446137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020883111,0.00063195196,0.0007231933,0.000846385,0.000817971,0.0033064696,0.0009803146,0.00086616055,0.005814952],"category_scores_gemma":[0.010151051,0.00022299924,0.0006666299,0.00053938606,0.0030509399,0.0034132819,0.0025701222,0.002356495,0.0007607982],"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":[0.00019755716,0.00006440361,0.004300135,0.00010122723,0.000051661886,0.0005325296,0.00039726042,0.01066405,0.002850786,0.9428078,0.00063367566,0.037398905],"study_design_scores_gemma":[0.00016723138,0.00050977233,0.0053879623,0.000117161675,0.000081800375,0.0012288038,0.0003134868,0.05494657,0.006162701,0.91040576,0.020603584,0.00007520483],"about_ca_topic_score_codex":0.0003225472,"about_ca_topic_score_gemma":0.0003068018,"teacher_disagreement_score":0.005814952,"about_ca_system_score_codex":0.0004400396,"about_ca_system_score_gemma":0.00038693665,"threshold_uncertainty_score":0.01945293},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657304,0.0005347037,0.022085547,0.0005956118,0.00007934583,0.00006608691,0.0015751753,0.00011052571,0.009222572],"genre_scores_gemma":[0.9948362,0.00022591664,0.002909667,0.000048175072,0.000027584425,0.00005316773,0.001190102,0.00002707505,0.00068205694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99282974,0.0042125396,0.0006863295,0.0008343414,0.0010603921,0.00037667048],"domain_scores_gemma":[0.92495555,0.061683938,0.00778318,0.0025142378,0.002567175,0.00049591635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010308553,0.00043436437,0.00055331684,0.0035795216,0.0004346305,0.0019009735,0.0008458247,0.0007095395,0.0045051025],"category_scores_gemma":[0.066481136,0.00028023502,0.0010359569,0.0063475743,0.00086064026,0.0024427196,0.0020120342,0.0012078178,0.0006652974],"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":[0.00044172633,0.00012029642,0.922556,0.00010547339,0.0007572193,0.00024641264,0.0010966602,0.0037967593,0.00056425715,0.015108509,0.0010662201,0.05414047],"study_design_scores_gemma":[0.00015597971,0.0003902905,0.90554905,0.00020516368,0.00042786423,0.00039438094,0.0027457143,0.057488028,0.0027366823,0.02381552,0.0060052904,0.00008606636],"about_ca_topic_score_codex":0.0073838374,"about_ca_topic_score_gemma":0.0040940805,"teacher_disagreement_score":0.010308553,"about_ca_system_score_codex":0.0006505473,"about_ca_system_score_gemma":0.0012933299,"threshold_uncertainty_score":0.054517448},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14825162,0.0040886337,0.7754175,0.008369187,0.0012062603,0.00041416826,0.0010667151,0.00041857184,0.060767278],"genre_scores_gemma":[0.800838,0.0043272804,0.1739388,0.0014186847,0.0004578679,0.0006011871,0.0011283467,0.000375287,0.016914653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9928059,0.002421928,0.00093020697,0.0013252441,0.002027781,0.0004888609],"domain_scores_gemma":[0.9690146,0.0168119,0.004201977,0.0053232093,0.0042845164,0.0003638433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014977853,0.0008816817,0.0014899991,0.0051823915,0.0017347151,0.0055757593,0.0022162641,0.0019358561,0.0058533284],"category_scores_gemma":[0.06696122,0.0006241493,0.0031271738,0.008031288,0.0037883483,0.00969803,0.0027682486,0.005085933,0.0014672343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049811617,0.00004759544,0.019463558,0.000103399165,0.00011572649,0.00070918386,0.0009824081,0.015819982,0.0002022109,0.8728517,0.0047361944,0.084918275],"study_design_scores_gemma":[0.000053466396,0.00014305866,0.011125488,0.00038512534,0.00020210573,0.0011163525,0.0013574762,0.15315649,0.0008678391,0.77549905,0.055933442,0.0001601625],"about_ca_topic_score_codex":0.0077497005,"about_ca_topic_score_gemma":0.0048863515,"teacher_disagreement_score":0.014977853,"about_ca_system_score_codex":0.002640427,"about_ca_system_score_gemma":0.0036782278,"threshold_uncertainty_score":0.079211414},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876003,0.0007635743,0.0015402604,0.0005435148,0.00011789517,0.00004965994,0.000997782,0.00013859766,0.008248455],"genre_scores_gemma":[0.99621767,0.00020880748,0.0004092006,0.0001019739,0.00007212498,0.0000066052717,0.00065968966,0.00003093994,0.0022929616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948277,0.0015142792,0.0006249829,0.00068734476,0.0018103442,0.0005353478],"domain_scores_gemma":[0.8951451,0.058994975,0.02962785,0.0071767783,0.006744207,0.0023111734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065969806,0.00054455077,0.0005898766,0.0011394281,0.0004056167,0.0025875696,0.0007214208,0.0008607461,0.0060392185],"category_scores_gemma":[0.06113693,0.0002512656,0.000729365,0.00067243807,0.0006653481,0.0015696805,0.0011832882,0.0019956012,0.0009548372],"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":[0.00551843,0.0013314136,0.741603,0.00044702098,0.0011518963,0.0025903117,0.00069837604,0.048518684,0.040032268,0.009595316,0.0059794253,0.14253378],"study_design_scores_gemma":[0.00012380515,0.0030320494,0.9020024,0.00006907691,0.0005945864,0.001664655,0.0010152889,0.033303943,0.034650944,0.006111792,0.017303491,0.00012802113],"about_ca_topic_score_codex":0.0023655724,"about_ca_topic_score_gemma":0.0020609833,"teacher_disagreement_score":0.0065969806,"about_ca_system_score_codex":0.00062777265,"about_ca_system_score_gemma":0.0005821885,"threshold_uncertainty_score":0.034888566},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98190033,0.00046042574,0.008549368,0.0015896265,0.0001141067,0.000030054756,0.0010130643,0.000096174655,0.006246881],"genre_scores_gemma":[0.9972397,0.00013032828,0.0015932467,0.000063602696,0.000062707884,0.000009399048,0.00063974573,0.00001326652,0.00024802823],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98519194,0.008501672,0.000981459,0.0011090296,0.0037720168,0.0004438101],"domain_scores_gemma":[0.67413205,0.26030642,0.03174972,0.016526984,0.01507687,0.0022079558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020766066,0.00047847873,0.0005568779,0.0021622076,0.0006764173,0.0025821382,0.0011949514,0.0014722182,0.001234334],"category_scores_gemma":[0.2126875,0.0003913038,0.00051020755,0.0032305187,0.0011305414,0.004007293,0.0015284736,0.0017707304,0.00051593554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012761778,0.00032682472,0.8756597,0.00011071865,0.00042573945,0.00026778295,0.001025736,0.0522536,0.0006483782,0.007977843,0.0025627706,0.05746482],"study_design_scores_gemma":[0.00024682618,0.0016701805,0.53371775,0.00030396847,0.0006163124,0.00033300332,0.0017542227,0.41372755,0.009772649,0.030005792,0.007681497,0.00017022538],"about_ca_topic_score_codex":0.010481481,"about_ca_topic_score_gemma":0.009362185,"teacher_disagreement_score":0.020766066,"about_ca_system_score_codex":0.0011284939,"about_ca_system_score_gemma":0.0012558283,"threshold_uncertainty_score":0.10982275},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5025036,0.0005370167,0.42717516,0.002400846,0.00030556478,0.00016127058,0.00042443012,0.0011658223,0.06532624],"genre_scores_gemma":[0.9799943,0.000074266754,0.017265422,0.00016970446,0.000030039866,0.00004170078,0.00004482236,0.00008259463,0.0022972208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984988,0.00037247865,0.000052676223,0.00026259362,0.0004675,0.00034580717],"domain_scores_gemma":[0.9959299,0.002468875,0.00041722745,0.00052350416,0.0003140074,0.00034648337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024947382,0.0006648024,0.00085899845,0.0005604014,0.0005457753,0.0029664808,0.00122523,0.002300616,0.0048690992],"category_scores_gemma":[0.016469466,0.0005895554,0.0004860703,0.00028615235,0.0009318845,0.0026755775,0.0017743229,0.0018537218,0.00072553934],"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":[0.00035891024,0.00029708797,0.003679607,0.00011169661,0.0000640261,0.00027409696,0.00022758116,0.67565227,0.0142693445,0.2676382,0.006328349,0.031098811],"study_design_scores_gemma":[0.00007581992,0.00014020239,0.0028232688,0.00004661606,0.000041813277,0.00016435525,0.00017865503,0.8519958,0.0075110453,0.13394162,0.0029980496,0.00008277142],"about_ca_topic_score_codex":0.0012366152,"about_ca_topic_score_gemma":0.0012233998,"teacher_disagreement_score":0.0048690992,"about_ca_system_score_codex":0.0010526618,"about_ca_system_score_gemma":0.001485549,"threshold_uncertainty_score":0.016288757},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98507917,0.0009548947,0.0005433157,0.00024068961,0.000015558604,0.00001686281,0.008932945,0.000074150805,0.0041424674],"genre_scores_gemma":[0.984037,0.00079701166,0.00060508505,0.00003405199,0.000044201322,0.00002428592,0.013306002,0.000013890562,0.001138401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995363,0.0000501432,0.000091633054,0.000101890415,0.00014309913,0.0000769231],"domain_scores_gemma":[0.9914396,0.0010946493,0.0051716594,0.00043982395,0.0015650807,0.00028913034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008276764,0.0002626637,0.0003760334,0.0040491982,0.00021903525,0.0008024402,0.00025754928,0.00027606945,0.0013558444],"category_scores_gemma":[0.0043958407,0.00017331097,0.0002927933,0.007489231,0.00023330239,0.00059985026,0.0005235501,0.0004927649,0.0006030018],"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":[0.00007859589,0.00002389275,0.9838938,0.00003678807,0.00006371783,0.0000653835,0.0002287043,0.000357568,0.00025282736,0.00030982224,0.0019505159,0.012738372],"study_design_scores_gemma":[0.000001904355,0.000017291273,0.99702007,0.0000093227845,0.000016936694,0.0001176254,0.000114048315,0.00035234742,0.00015564388,0.000057337522,0.0021336852,0.0000037650072],"about_ca_topic_score_codex":0.007818773,"about_ca_topic_score_gemma":0.0132754985,"teacher_disagreement_score":0.007818773,"about_ca_system_score_codex":0.00051312,"about_ca_system_score_gemma":0.00031484535,"threshold_uncertainty_score":0.015546501},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05500692,0.0001764582,0.9412201,0.000078585115,0.000024787,0.000110196546,0.00032246037,0.00043366078,0.002626905],"genre_scores_gemma":[0.5999123,0.00041677654,0.3956256,0.00004845979,0.00006482992,0.00043385813,0.001031866,0.00021052331,0.0022557548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99863666,0.0005306007,0.00007899232,0.00016861677,0.0004930428,0.000091921436],"domain_scores_gemma":[0.9898009,0.0062807617,0.0011363325,0.0014849708,0.0011659327,0.00013118319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029934722,0.0005918003,0.0005815349,0.0022200444,0.00030415508,0.0012055822,0.0010450906,0.0006985442,0.0029896123],"category_scores_gemma":[0.031486552,0.00032752028,0.000647755,0.0011822399,0.0006713876,0.002322728,0.00091820676,0.0010283109,0.0005457891],"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":[0.000120929806,0.00016181501,0.017260976,0.0001546263,0.00019398311,0.00016984782,0.00032431516,0.3525211,0.004680757,0.37737164,0.0025098627,0.24453028],"study_design_scores_gemma":[0.000034831908,0.00015236314,0.010789285,0.00006605618,0.000054154443,0.00019240327,0.00004052141,0.82059515,0.004754222,0.15913518,0.0041159964,0.00006985425],"about_ca_topic_score_codex":0.0012211686,"about_ca_topic_score_gemma":0.0014838412,"teacher_disagreement_score":0.0029934722,"about_ca_system_score_codex":0.00060079346,"about_ca_system_score_gemma":0.00061343244,"threshold_uncertainty_score":0.015831232},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918635,0.00034137143,0.0008730271,0.0004385807,0.000015577398,0.000012388723,0.0022586375,0.000049216964,0.0041477364],"genre_scores_gemma":[0.9978224,0.00018014904,0.0002452692,0.00002610455,0.0000051987104,0.0000027103529,0.0012766431,0.000005758901,0.00043573068],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994974,0.0000541151,0.000022552249,0.00009033606,0.00021539474,0.00012018355],"domain_scores_gemma":[0.99782085,0.00043930454,0.0004824453,0.0001293001,0.0008995639,0.00022843631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009043955,0.0002943408,0.00031793895,0.0018359388,0.0010755664,0.0016105268,0.0005247924,0.0003409495,0.0012268533],"category_scores_gemma":[0.008256712,0.0001749237,0.00028856573,0.0037067437,0.0006196659,0.00066973525,0.0006135026,0.0005341173,0.000150416],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006023803,0.000106536965,0.8547435,0.0001123375,0.0003150108,0.00042132812,0.0015051103,0.047739122,0.0017966082,0.015729351,0.0109756505,0.06595314],"study_design_scores_gemma":[0.0000126358655,0.00002139653,0.94468445,0.000030893036,0.000043801123,0.00004410851,0.00088515005,0.04687332,0.00038596266,0.0024884643,0.0044850083,0.00004483214],"about_ca_topic_score_codex":0.93095183,"about_ca_topic_score_gemma":0.93294865,"teacher_disagreement_score":0.06904817,"about_ca_system_score_codex":0.008350004,"about_ca_system_score_gemma":0.0061569004,"threshold_uncertainty_score":0.13890958},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981546,0.0001969361,0.012323518,0.00016984483,0.000010407204,0.000013425912,0.0006516241,0.00015923464,0.004929001],"genre_scores_gemma":[0.99731195,0.00003091113,0.0016677668,0.000015624715,0.0000094694515,0.000007836815,0.0006931621,0.000017353734,0.00024601497],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961527,0.0008348234,0.0002889208,0.00071370666,0.0016515222,0.00035836772],"domain_scores_gemma":[0.9702196,0.016532391,0.005814622,0.0033698443,0.0031763024,0.00088718475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004948995,0.00033611976,0.0006175352,0.0041805804,0.0004099784,0.0021037213,0.00087367726,0.0008957713,0.0012891521],"category_scores_gemma":[0.04112048,0.0002977469,0.0005652654,0.0039045399,0.0010813968,0.0025595548,0.001560482,0.0012517388,0.00040962466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011745492,0.0002058747,0.8124628,0.00008746212,0.00035859758,0.0007494067,0.00085669814,0.0649479,0.006211434,0.051376175,0.0029471633,0.05862198],"study_design_scores_gemma":[0.0000174151,0.00014770175,0.8124477,0.000021925282,0.000038414288,0.00050946337,0.00025696118,0.14650111,0.002918915,0.03534086,0.0017205543,0.000078887475],"about_ca_topic_score_codex":0.00408893,"about_ca_topic_score_gemma":0.002907476,"teacher_disagreement_score":0.004948995,"about_ca_system_score_codex":0.0009349403,"about_ca_system_score_gemma":0.00041583157,"threshold_uncertainty_score":0.026173055},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7181241,0.016559822,0.122763224,0.08943775,0.001130142,0.0007017553,0.0029218954,0.00021216016,0.04814906],"genre_scores_gemma":[0.9809857,0.0015369067,0.007675265,0.0063771578,0.00049565115,0.00016641196,0.00031178034,0.000050325656,0.002400809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9731066,0.015799545,0.0012845478,0.002281122,0.0060151853,0.0015129877],"domain_scores_gemma":[0.67146665,0.24617313,0.03964346,0.02477533,0.013642935,0.0042985333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.059135847,0.0003298532,0.0008144101,0.0022859853,0.003874178,0.0032512227,0.0016524241,0.002117205,0.0025907564],"category_scores_gemma":[0.2004478,0.000354023,0.0007872495,0.0071602757,0.0057517462,0.002631246,0.003672839,0.0049792733,0.00012860082],"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":[0.0009297989,0.0001928978,0.639378,0.0005023249,0.0013158685,0.0024280502,0.020470882,0.0037530852,0.00084618386,0.1387582,0.03138969,0.16003497],"study_design_scores_gemma":[0.00023458991,0.00028898413,0.81699795,0.00058538065,0.001058969,0.0009576285,0.0106400885,0.018724551,0.0016572567,0.09023433,0.058339875,0.0002804049],"about_ca_topic_score_codex":0.52689964,"about_ca_topic_score_gemma":0.57049567,"teacher_disagreement_score":0.47310036,"about_ca_system_score_codex":0.009841874,"about_ca_system_score_gemma":0.009431873,"threshold_uncertainty_score":0.9517731},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891298,0.0002179746,0.0053397436,0.00015020072,0.0000065065815,0.000007778407,0.0002594107,0.000027267164,0.0048613497],"genre_scores_gemma":[0.9985281,0.00007701925,0.00045684582,0.0000053135573,0.0000035240816,0.0000025474458,0.00011875987,0.000004546912,0.0008032079],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998005,0.000032952565,0.000019966088,0.000033819368,0.00008799644,0.000024731151],"domain_scores_gemma":[0.9969662,0.0014572886,0.0008679259,0.00022749678,0.0003683243,0.00011273922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005613024,0.00013437682,0.0001536242,0.0009018308,0.00015475259,0.0011838203,0.00030060802,0.00029673663,0.005014258],"category_scores_gemma":[0.0077279257,0.00015434572,0.00014926514,0.00073018804,0.00050516176,0.0020337675,0.00031695652,0.00028932717,0.00022764163],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008988918,0.00018376877,0.32771206,0.00036759378,0.00022924077,0.0025403418,0.0020394477,0.14896221,0.09351829,0.3151669,0.0014137027,0.106967494],"study_design_scores_gemma":[0.00005961442,0.00022869157,0.44929096,0.00008034814,0.00007269137,0.0017172998,0.001291311,0.26602006,0.021504125,0.25184178,0.0077464143,0.00014664147],"about_ca_topic_score_codex":0.00140847,"about_ca_topic_score_gemma":0.0010342179,"teacher_disagreement_score":0.005014258,"about_ca_system_score_codex":0.0005918956,"about_ca_system_score_gemma":0.00017274491,"threshold_uncertainty_score":0.016774416},"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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853134,0.000059221526,0.000103478895,0.00004620048,0.0000015618111,0.000005265069,0.00025856218,0.000006645776,0.0009877732],"genre_scores_gemma":[0.9988121,0.00004580567,0.00015951261,0.0000105069585,0.000007117009,0.0000050704357,0.0006181195,0.0000030963192,0.00033867682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951124,0.00007337126,0.000038590188,0.000089373876,0.00019113487,0.00009633366],"domain_scores_gemma":[0.99471563,0.0011856244,0.0028508862,0.00029435256,0.0006609751,0.0002926044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058434095,0.00010962811,0.00021473925,0.0027104446,0.00033583932,0.0008008273,0.00038022146,0.00032952474,0.0020286834],"category_scores_gemma":[0.0037505839,0.00011110061,0.00017457346,0.0031518736,0.00040138498,0.00067317864,0.00051611854,0.00039223768,0.00028388473],"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":[0.00038111187,0.00013434836,0.9527091,0.00004914505,0.00010098585,0.0007932456,0.0026787184,0.003351855,0.0041960194,0.0027472342,0.002567901,0.030290376],"study_design_scores_gemma":[0.0000033484803,0.000036678888,0.9936149,0.000008859834,0.000009797408,0.00020482246,0.00065083936,0.0038407017,0.00042542786,0.00034200717,0.0008485725,0.000013949939],"about_ca_topic_score_codex":0.009538578,"about_ca_topic_score_gemma":0.011618747,"teacher_disagreement_score":0.009538578,"about_ca_system_score_codex":0.0006359772,"about_ca_system_score_gemma":0.0002797193,"threshold_uncertainty_score":0.018966138},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97036797,0.001332658,0.02014868,0.0016127338,0.00013336477,0.000054906308,0.0006558493,0.00021892489,0.0054750103],"genre_scores_gemma":[0.99575377,0.0004017298,0.0018934488,0.00017174226,0.00012529106,0.000020894991,0.00024028268,0.000028109429,0.0013648435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849653,0.00030138265,0.00015531451,0.000439736,0.00030957782,0.0002973966],"domain_scores_gemma":[0.9708329,0.0122690825,0.010729703,0.0041592647,0.0014340803,0.00057499774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060572005,0.000454723,0.0010299397,0.0010648044,0.00031564868,0.0025223515,0.0008303666,0.0013194563,0.0048168376],"category_scores_gemma":[0.037311625,0.00039605156,0.0009356741,0.0008636671,0.0018066654,0.0028646896,0.00062564266,0.001870913,0.001019841],"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":[0.0012890064,0.00043515835,0.5465157,0.00041373272,0.0011665467,0.0030836242,0.0015433672,0.009982915,0.017736008,0.17933647,0.00393217,0.23456524],"study_design_scores_gemma":[0.00020521556,0.0012062051,0.6442172,0.00016506384,0.0007158848,0.0056468877,0.0006525333,0.058373928,0.02398823,0.252919,0.011687607,0.00022225891],"about_ca_topic_score_codex":0.0008327913,"about_ca_topic_score_gemma":0.00062989723,"teacher_disagreement_score":0.0060572005,"about_ca_system_score_codex":0.00055834395,"about_ca_system_score_gemma":0.00048205827,"threshold_uncertainty_score":0.03203392},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90826917,0.00031124311,0.08617994,0.00059538474,0.00004095154,0.00010135159,0.0006937723,0.00028685338,0.0035213013],"genre_scores_gemma":[0.99564606,0.00016002759,0.002278163,0.000047849077,0.00002894429,0.00003563388,0.00031465405,0.000036046353,0.0014526322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99713045,0.0013798461,0.00015749178,0.000473797,0.00027950198,0.0005789306],"domain_scores_gemma":[0.9608113,0.027624065,0.0059990627,0.0029155957,0.0017561364,0.0008939156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009450085,0.0009772065,0.001086097,0.0016179294,0.00040578452,0.002942775,0.0013482851,0.0014937068,0.0045880107],"category_scores_gemma":[0.047116693,0.00066187215,0.0015757512,0.0013159154,0.002490367,0.003322368,0.0014674384,0.0023417508,0.0010929451],"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":[0.0013430294,0.00029437745,0.15487105,0.00015722096,0.00034225686,0.0022309013,0.0011361841,0.6844342,0.0022743875,0.109300554,0.0035563754,0.0400595],"study_design_scores_gemma":[0.0000809635,0.00010861342,0.030065509,0.000040138057,0.000058718626,0.00044054896,0.00038040604,0.89742285,0.0008577473,0.06971637,0.0007665996,0.00006149506],"about_ca_topic_score_codex":0.007386452,"about_ca_topic_score_gemma":0.0044798064,"teacher_disagreement_score":0.009450085,"about_ca_system_score_codex":0.0013379763,"about_ca_system_score_gemma":0.00096150924,"threshold_uncertainty_score":0.04997748},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90180916,0.00061861525,0.072385676,0.0003149475,0.000017805713,0.0001682476,0.001250641,0.00010112928,0.023333758],"genre_scores_gemma":[0.99350923,0.00010319004,0.0053434623,0.000015400577,0.0000066838675,0.000032693722,0.00031472908,0.0000053525787,0.0006692335],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99553466,0.0016923497,0.00041281153,0.0005417373,0.0013534665,0.00046500086],"domain_scores_gemma":[0.98556477,0.00782991,0.003409712,0.0011423359,0.0017215054,0.00033164676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005787304,0.0005179153,0.0008624114,0.0038532855,0.00031629394,0.0026063405,0.00055768015,0.0006439117,0.002387064],"category_scores_gemma":[0.025414206,0.00018651986,0.00041604528,0.0052165245,0.0010845828,0.0019395356,0.0012716807,0.0005611791,0.00058742735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002934309,0.00047023172,0.61266977,0.0002858327,0.0006782195,0.00011763532,0.0009115562,0.1698631,0.0033186676,0.057837978,0.0025587021,0.15099496],"study_design_scores_gemma":[0.0000410928,0.00048630292,0.6899967,0.00011815324,0.00014429794,0.00018128747,0.0017416506,0.22522476,0.0069385385,0.06912143,0.00590675,0.00009901934],"about_ca_topic_score_codex":0.0025447744,"about_ca_topic_score_gemma":0.0026849397,"teacher_disagreement_score":0.005787304,"about_ca_system_score_codex":0.002067251,"about_ca_system_score_gemma":0.0012344886,"threshold_uncertainty_score":0.030606508},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642075,0.00011362599,0.0095956735,0.00013290257,0.0000062724475,0.000017033119,0.0007304621,0.000072622635,0.0029107195],"genre_scores_gemma":[0.9974638,0.000050930932,0.0015201471,0.000007854597,0.000003663755,0.0000045018046,0.0005842536,0.0000066073876,0.00035811137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99947876,0.00004967773,0.000016189837,0.000056833225,0.00029532178,0.00010315772],"domain_scores_gemma":[0.9989592,0.00031585226,0.00015152922,0.000065070235,0.0004413997,0.00006694846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066054944,0.00025807088,0.00029133479,0.0017212156,0.0005048833,0.00068282685,0.0005724112,0.00024754563,0.0007628912],"category_scores_gemma":[0.004665413,0.00010991702,0.0003698429,0.0019283831,0.0005183902,0.0002905988,0.0003289309,0.00043357033,0.00007034913],"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":[0.00049478014,0.00009785018,0.39258787,0.00016525807,0.00036235675,0.0013505263,0.0009905394,0.45689073,0.012978766,0.034370452,0.0043856604,0.09532526],"study_design_scores_gemma":[0.000011746771,0.000037648937,0.55979615,0.0000139998265,0.000027112443,0.00021702856,0.0003894187,0.4294341,0.0024428072,0.0053291884,0.0022279765,0.00007294825],"about_ca_topic_score_codex":0.61855584,"about_ca_topic_score_gemma":0.5288542,"teacher_disagreement_score":0.38144416,"about_ca_system_score_codex":0.0036834807,"about_ca_system_score_gemma":0.0023115946,"threshold_uncertainty_score":0.7673811},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363834,0.00042831054,0.0035302108,0.00041366857,0.0000130339195,0.0000367657,0.0006171108,0.000021061767,0.0013015358],"genre_scores_gemma":[0.99704105,0.00022776875,0.00029413012,0.000024385954,0.00002047937,0.000034744615,0.0006220483,0.0000067066044,0.0017288111],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995977,0.00006381422,0.000021238337,0.00010171512,0.00004422968,0.00017130763],"domain_scores_gemma":[0.99642086,0.0011432039,0.0012606801,0.00011618073,0.00032861708,0.0007304155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017769507,0.00056825514,0.00069630035,0.0017638374,0.0007520918,0.0018602668,0.001692918,0.0011243203,0.004322824],"category_scores_gemma":[0.0043346863,0.00047776208,0.0010444252,0.001106925,0.001113533,0.0017105418,0.0013962806,0.0012117184,0.00030578242],"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":[0.0006247257,0.00038658592,0.6347923,0.000117864045,0.0004113763,0.001619428,0.001095693,0.310261,0.0014483216,0.029184766,0.0027310327,0.017326877],"study_design_scores_gemma":[0.00008242456,0.00019492791,0.16754322,0.00003632089,0.00027840797,0.00010565633,0.00045805075,0.8228729,0.00032375235,0.0064933384,0.0015465848,0.00006455415],"about_ca_topic_score_codex":0.1006623,"about_ca_topic_score_gemma":0.054087143,"teacher_disagreement_score":0.1006623,"about_ca_system_score_codex":0.0026897257,"about_ca_system_score_gemma":0.0021481814,"threshold_uncertainty_score":0.20015275},"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":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25526348,0.00073158264,0.7254954,0.0005785369,0.000039211693,0.00007920043,0.00004412807,0.00016135052,0.017607087],"genre_scores_gemma":[0.9650365,0.0002188441,0.030906817,0.00007049443,0.000014784767,0.000049207414,0.000017242024,0.00003951959,0.003646534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99905807,0.00050096016,0.00003852798,0.000118894204,0.00017119883,0.00011239718],"domain_scores_gemma":[0.9977245,0.0013953059,0.00032502747,0.00027031562,0.0001688259,0.00011611836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021624682,0.0011378033,0.00061139767,0.0004582002,0.00041882924,0.0016729875,0.00090861175,0.0009164023,0.001452091],"category_scores_gemma":[0.009232895,0.00033997544,0.00050343946,0.0003414215,0.0012761913,0.0024636022,0.0013249455,0.0008197622,0.00018361397],"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":[0.00013520318,0.00014641258,0.0032675734,0.00007554145,0.00012941929,0.00035917934,0.00019839116,0.5113035,0.00426414,0.4269606,0.0007121171,0.052447896],"study_design_scores_gemma":[0.000021647431,0.00013697706,0.00094570935,0.000020579142,0.000022696006,0.000112771326,0.000054875407,0.8342937,0.0013611814,0.16198887,0.0010066271,0.000034408768],"about_ca_topic_score_codex":0.0021788669,"about_ca_topic_score_gemma":0.0014226618,"teacher_disagreement_score":0.0021788669,"about_ca_system_score_codex":0.000978214,"about_ca_system_score_gemma":0.00080246053,"threshold_uncertainty_score":0.011436403},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984658,0.00035849452,0.00011669349,0.000088618224,0.0000068104596,0.0000041842623,0.000044508823,0.0000033018202,0.0009117258],"genre_scores_gemma":[0.9993741,0.00018380668,0.00006782789,0.000016830341,0.000023472816,0.0000017893494,0.00011666205,0.000002781418,0.00021276245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989548,0.00026919146,0.000097070886,0.00013981113,0.0004032317,0.00013590368],"domain_scores_gemma":[0.9758868,0.01114657,0.009508696,0.0014085157,0.0011266922,0.0009226697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032457814,0.00033958428,0.0007731929,0.0008032618,0.00074620603,0.001895201,0.0005251224,0.0010073637,0.0025094026],"category_scores_gemma":[0.014954537,0.0002922049,0.00073655415,0.0012878113,0.0011751474,0.0018684772,0.0011237491,0.0012920826,0.0003921324],"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":[0.01036818,0.0016043143,0.91301537,0.0002720701,0.0008028115,0.0029210579,0.0022259322,0.0073688114,0.013537063,0.005385827,0.0012651234,0.041233473],"study_design_scores_gemma":[0.0002173,0.0012619738,0.9844844,0.000018395314,0.00023000142,0.00049877557,0.0009165128,0.0065342276,0.002272387,0.0017921729,0.0017168988,0.000057042053],"about_ca_topic_score_codex":0.005269573,"about_ca_topic_score_gemma":0.0051011904,"teacher_disagreement_score":0.005269573,"about_ca_system_score_codex":0.00072988926,"about_ca_system_score_gemma":0.00046092848,"threshold_uncertainty_score":0.017165542},"labels":[],"label_agreement":null}]}