{"meta":{"query_hash":"460ded784fb5","filters":{"venue":"European Journal of Finance"},"cohort_total":42,"direct_labels_cover":0,"predictions_cover":42,"exported":42,"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/460ded784fb5","api":"https://metacan.xera.ac/api/v1/cohort?venue=European+Journal+of+Finance"},"results":[{"id":"W195446995","doi":"10.1080/13518470110071218a","title":"UK corporate use of derivatives","year":2003,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","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":"","keywords":"Derivative (finance); Risk management; Business; Accounting; Value (mathematics); Actuarial science; Derivatives market; Value proposition; Economics; Finance; Marketing; Computer science","score_opus":0.06091850845442294,"score_gpt":0.21043457648143016,"score_spread":0.14951606802700723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195446995","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":[0.892207,0.013613752,0.0012492728,0.0015110184,0.00012632931,0.000075120246,0.006600789,0.00018277256,0.084433876],"genre_scores_gemma":[0.9686392,0.0033399297,0.0007873996,0.00022465372,0.00003373724,0.000019815554,0.0013880831,0.000019765539,0.025547404],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99782336,0.0003479289,0.00025393363,0.00030109673,0.0011107307,0.00016296885],"domain_scores_gemma":[0.98929745,0.0033402941,0.0045245886,0.0009432944,0.0014219378,0.00047238407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092183356,0.00020547814,0.0002022777,0.0029774806,0.00057835045,0.0015835176,0.00026430486,0.00041329995,0.012634094],"category_scores_gemma":[0.009551389,0.00010602197,0.00016134213,0.0037951693,0.000459602,0.0012334947,0.00096502603,0.000330375,0.0018586941],"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":[0.00027502648,0.00006929892,0.36138687,0.0012870744,0.00007079138,0.0017105738,0.018802423,0.000466099,0.007214231,0.014375805,0.031096414,0.5632454],"study_design_scores_gemma":[0.000008221979,0.00021751774,0.60181105,0.0004050259,0.000040341685,0.004287694,0.0049653193,0.00037510452,0.002667944,0.00059844484,0.3845715,0.000051903888],"about_ca_topic_score_codex":0.0068332586,"about_ca_topic_score_gemma":0.008711116,"teacher_disagreement_score":0.012634094,"about_ca_system_score_codex":0.001328138,"about_ca_system_score_gemma":0.0006671498,"threshold_uncertainty_score":0.042265296},"labels":[],"label_agreement":null},{"id":"W1999894924","doi":"10.1080/1351847042000254211","title":"Generating science-based growth: an econometric analysis of the impact of organizational incentives on university–industry technology transfer","year":2005,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham Trent University; Alfred P. Sloan Foundation","keywords":"Incentive; Technology transfer; Intellectual property; Knowledge transfer; Payment; Business; Function (biology); Marketing; Industrial organization; Production (economics); Economics; Knowledge management; Microeconomics; Management; Finance; Computer science","score_opus":0.023273717650467467,"score_gpt":0.22431135277240455,"score_spread":0.2010376351219371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999894924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"incentives","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"incentives","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.982589,0.00020731436,0.012765314,0.00077012344,0.00001691043,0.000059434242,0.00044269703,0.00007736753,0.0030718204],"genre_scores_gemma":[0.99735814,0.0001175056,0.0010631637,0.000028082452,0.000015767315,0.000020022595,0.0003878373,0.000009559458,0.000999926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988483,0.0006329909,0.00003978353,0.000101228135,0.00013704579,0.00024064217],"domain_scores_gemma":[0.9747199,0.021626417,0.0019503917,0.00058146415,0.00054247415,0.00057937397],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0052302256,0.00039283434,0.00061533845,0.0014255558,0.00033082446,0.0016448159,0.0007287293,0.0011726174,0.0032415786],"category_scores_gemma":[0.01916561,0.0002430504,0.0008460282,0.0020316695,0.0008256512,0.001129671,0.00090831524,0.0014860159,0.0005224202],"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":[0.0005638154,0.0008436561,0.27208254,0.000098398734,0.0002223434,0.000463468,0.0005035644,0.66191524,0.001187554,0.02493776,0.0023807478,0.034800917],"study_design_scores_gemma":[0.00009318561,0.0002167918,0.107544936,0.000015242018,0.00007269869,0.000055885008,0.0006683048,0.87788606,0.0007012623,0.0109140845,0.0017879186,0.000043527107],"about_ca_topic_score_codex":0.012563908,"about_ca_topic_score_gemma":0.0064637926,"teacher_disagreement_score":0.99476975,"about_ca_system_score_codex":0.0018374212,"about_ca_system_score_gemma":0.0009244397,"threshold_uncertainty_score":0.02766043},"labels":[],"label_agreement":null},{"id":"W2003281144","doi":"10.1080/1351847x.2011.653577","title":"Investigating the stationarity of insurance premiums: international evidence","year":2012,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Science Council; University of Windsor","keywords":"Life insurance; Panel data; Economics; Econometrics; Investment (military); Actuarial science; Sample (material); Empirical evidence","score_opus":0.06362493468463759,"score_gpt":0.24814374522654276,"score_spread":0.18451881054190516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003281144","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":[0.98963916,0.001568956,0.0021860702,0.00038326223,0.000017360648,0.000010841628,0.0006659115,0.000017221784,0.005511129],"genre_scores_gemma":[0.9983615,0.00041629365,0.00020057567,0.00003287584,0.000027165916,0.0000020102107,0.0008189014,0.0000064415635,0.00013425275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775547,0.00050772284,0.00023916332,0.00077459245,0.00044440423,0.0002787327],"domain_scores_gemma":[0.94684047,0.022283718,0.022950042,0.0045897537,0.002334444,0.0010015426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037163675,0.00027964465,0.00048486388,0.0022830423,0.00046530846,0.0013177564,0.00070595636,0.00055310514,0.0035566755],"category_scores_gemma":[0.017986989,0.0002704387,0.0007964081,0.0029549284,0.0016913709,0.0015366531,0.0012867269,0.0009423852,0.0005639763],"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":[0.00016817474,0.00007011114,0.9780422,0.00006585667,0.0005030639,0.00021274084,0.00092490733,0.0014655829,0.00035939668,0.002498871,0.00043294975,0.015256184],"study_design_scores_gemma":[0.000012012966,0.00008875762,0.99425644,0.00005165636,0.00018265401,0.00018027124,0.00078435405,0.0015938989,0.0006474949,0.0007852522,0.0013990606,0.000018158455],"about_ca_topic_score_codex":0.00584756,"about_ca_topic_score_gemma":0.0040994463,"teacher_disagreement_score":0.00584756,"about_ca_system_score_codex":0.0003887048,"about_ca_system_score_gemma":0.0002688094,"threshold_uncertainty_score":0.019654274},"labels":[],"label_agreement":null},{"id":"W2004090336","doi":"10.1080/13518470902890758","title":"Diversification benefits for bond portfolios","year":2009,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","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":"Concordia University","funders":"","keywords":"Diversification (marketing strategy); Bond; Skewness; Issuer; Portfolio; Downside risk; Economics; Financial economics; Stock (firearms); Dispersion (optics); Business; Monetary economics; Econometrics; Finance","score_opus":0.040231468223325635,"score_gpt":0.20967915335141837,"score_spread":0.16944768512809275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004090336","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":[0.8877338,0.008617887,0.05653221,0.0018042336,0.000091925,0.000067640794,0.00030466513,0.00014629806,0.044701274],"genre_scores_gemma":[0.99348503,0.0011034326,0.0039503067,0.0000721249,0.000053858974,0.000015098778,0.00008478177,0.000011470114,0.0012238786],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927443,0.0002428254,0.000039676423,0.000080212805,0.00024655243,0.00011631604],"domain_scores_gemma":[0.99632335,0.0018127314,0.00063906866,0.00041391706,0.00044475988,0.00036617898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021914209,0.000535303,0.0004694175,0.0011164108,0.00032860806,0.0011648245,0.00025309628,0.00065734604,0.003604408],"category_scores_gemma":[0.010033747,0.00017346705,0.0003445632,0.00063024287,0.0004928558,0.0014314266,0.001330948,0.00072480296,0.00037989178],"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":[0.0020267966,0.0003087563,0.06003455,0.0004494563,0.00042779374,0.0009113924,0.00038661988,0.16908203,0.0439767,0.230254,0.005081497,0.48706046],"study_design_scores_gemma":[0.00026311562,0.002438471,0.10716733,0.00029748786,0.0004390154,0.0031408353,0.00059946347,0.16784355,0.015662663,0.6832604,0.018771166,0.00011646237],"about_ca_topic_score_codex":0.00018232921,"about_ca_topic_score_gemma":0.00024402753,"teacher_disagreement_score":0.003604408,"about_ca_system_score_codex":0.00039892318,"about_ca_system_score_gemma":0.00032469115,"threshold_uncertainty_score":0.01205796},"labels":[],"label_agreement":null},{"id":"W2013245069","doi":"10.1080/1351847x.2011.605899","title":"Law, ethics and finance: implications for international investment and portfolio management","year":2011,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Securities Regulation and Market Practices","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":"York University","funders":"","keywords":"Nothing; Business ethics; Management; Portfolio; Law; Political science; Law and economics; Economics; Finance; Philosophy","score_opus":0.05914364758641888,"score_gpt":0.27283272465069897,"score_spread":0.2136890770642801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013245069","genre_codex":"commentary","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":[0.0028995995,0.043453697,0.007470343,0.8481841,0.0024146722,0.000016224549,0.000043518765,0.000023138311,0.09549467],"genre_scores_gemma":[0.61918575,0.081409566,0.018517088,0.20603909,0.019404516,0.00029725247,0.00011878826,0.00014665819,0.054881282],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99518895,0.003066906,0.00017718128,0.0002894614,0.0008197618,0.0004577807],"domain_scores_gemma":[0.9880782,0.008744875,0.0006897554,0.00039331187,0.0011923799,0.0009014532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010735684,0.00049761694,0.00067037897,0.0012342457,0.0038336325,0.012888209,0.00090201985,0.010553381,0.0058686454],"category_scores_gemma":[0.019227406,0.00035737923,0.00036128785,0.0021619361,0.040110484,0.015136086,0.0038534799,0.010603284,0.0007902149],"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":[0.0000047565704,0.000007095256,0.00011025517,0.000019035793,0.0000022598804,0.000022985672,0.0006555819,0.00013457415,0.000016908307,0.9713391,0.022510981,0.005176469],"study_design_scores_gemma":[0.000006589109,0.0000054494617,0.00030057816,0.00015130431,0.0000011885596,0.000036966718,0.001161637,0.00019756643,0.00002486405,0.9123214,0.08578271,0.000009766551],"about_ca_topic_score_codex":0.008219258,"about_ca_topic_score_gemma":0.009682229,"teacher_disagreement_score":0.012888209,"about_ca_system_score_codex":0.007470031,"about_ca_system_score_gemma":0.0079748295,"threshold_uncertainty_score":0.056776464},"labels":[],"label_agreement":null},{"id":"W2014945593","doi":"10.1080/1351847x.2014.883549","title":"A behavioural finance approach to working capital management","year":2014,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Accounts receivable; Working capital; Accounts payable; Loss aversion; Risk aversion (psychology); Business; Finance; Capital (architecture); Actuarial science; Cash; Heuristic; Economics; Financial economics; Payment; Computer science; Expected utility hypothesis","score_opus":0.05871269860472944,"score_gpt":0.258312949189762,"score_spread":0.19960025058503256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014945593","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":[0.36857644,0.003117035,0.42447403,0.017045649,0.00028583693,0.00056546566,0.0003430606,0.0001399112,0.18545255],"genre_scores_gemma":[0.96698785,0.0006046936,0.026831424,0.0005718603,0.000113510694,0.00020576411,0.00004241601,0.000009296303,0.0046331757],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997449,0.0017220291,0.00007125713,0.00020395746,0.0003260966,0.00022778436],"domain_scores_gemma":[0.9946185,0.003032116,0.0011675364,0.0002792108,0.0005334056,0.0003692901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003199912,0.00054075173,0.00025456698,0.0023321363,0.00073151663,0.002303859,0.0009797539,0.0011037813,0.0023478342],"category_scores_gemma":[0.008427597,0.00014260226,0.00036664234,0.0012694485,0.0029941297,0.001668366,0.0007836419,0.00091247767,0.00023384088],"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":[0.000102604936,0.00061613444,0.106200285,0.0002630829,0.00012728623,0.00047426941,0.013531239,0.014665234,0.0018056263,0.7405738,0.0020843488,0.11955612],"study_design_scores_gemma":[0.00006460939,0.000530168,0.118137166,0.00030774644,0.00008023855,0.0007237375,0.008823893,0.060773946,0.0012858484,0.76532054,0.04383806,0.00011408636],"about_ca_topic_score_codex":0.0036319555,"about_ca_topic_score_gemma":0.002997682,"teacher_disagreement_score":0.0036319555,"about_ca_system_score_codex":0.0027813376,"about_ca_system_score_gemma":0.0017770901,"threshold_uncertainty_score":0.020180047},"labels":[],"label_agreement":null},{"id":"W2022118209","doi":"10.1080/1351847x.2013.769891","title":"Persistence and current determinants of the future earnings growth rates of firms","year":2013,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Concordia University","funders":"Concordia University","keywords":"Earnings growth; Earnings; Economics; Predictive power; Volatility (finance); Econometrics; Mean reversion; Monetary economics; Growth rate; Accrual; Persistence (discontinuity); Demographic economics; Financial economics; Accounting; Mathematics","score_opus":0.011614623335441903,"score_gpt":0.20007894732194442,"score_spread":0.1884643239865025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022118209","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":[0.9968213,0.0002394506,0.00053790084,0.0005875776,0.000008614201,0.000004004486,0.00026577964,0.00001620722,0.0015192896],"genre_scores_gemma":[0.9991725,0.0001187375,0.000042369556,0.000009984908,0.000018691268,0.0000012622352,0.00025158533,0.0000022730746,0.00038255937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976724,0.000024203362,0.00003109321,0.000055976638,0.000048107744,0.00007331052],"domain_scores_gemma":[0.9883187,0.0040398296,0.0050699967,0.0006297274,0.0010330267,0.0009087242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013947397,0.00012065677,0.0001898269,0.0009299031,0.00021380355,0.0016648046,0.00037704184,0.0005385518,0.0026287457],"category_scores_gemma":[0.008738001,0.00014906032,0.0002515842,0.0008140989,0.00053221534,0.00127188,0.00050329027,0.0010580497,0.00062179565],"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":[0.00010422019,0.00008383526,0.980631,0.000013822181,0.000042346,0.0001184483,0.00023513747,0.0038324695,0.00057210133,0.003283897,0.0004792508,0.01060344],"study_design_scores_gemma":[0.000005430099,0.00004307058,0.9858035,0.000018391349,0.000016191907,0.00007691243,0.00023114176,0.009252604,0.00023739209,0.0037494549,0.00055168057,0.000014309175],"about_ca_topic_score_codex":0.0075543625,"about_ca_topic_score_gemma":0.0064503783,"teacher_disagreement_score":0.0075543625,"about_ca_system_score_codex":0.00046403345,"about_ca_system_score_gemma":0.000309335,"threshold_uncertainty_score":0.015020788},"labels":[],"label_agreement":null},{"id":"W2029766930","doi":"10.1080/1351847032000137410","title":"A note on estimating the divisional cost of capital for diversified companies: an empirical evaluation of heuristic-based approaches","year":2004,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Berger (Canada)","funders":"University of Birmingham","keywords":"Heuristic; Capital (architecture); Economics; Econometrics; Business; Industrial organization; Mathematics; Mathematical optimization; Geography","score_opus":0.25089341344993055,"score_gpt":0.3740796076576867,"score_spread":0.12318619420775617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029766930","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":[0.4829584,0.0050716093,0.49268508,0.001068462,0.00009819492,0.00058695656,0.00047700803,0.00023933464,0.016814927],"genre_scores_gemma":[0.685782,0.001004076,0.31194833,0.000102406164,0.00003446145,0.00017264165,0.0002566625,0.00004277821,0.00065654074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9802644,0.014726039,0.000524288,0.00047173726,0.0037946242,0.00021884263],"domain_scores_gemma":[0.79759455,0.18525416,0.005527732,0.0052971696,0.005776463,0.0005500557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02130028,0.00087448064,0.0011093186,0.004988571,0.0005752605,0.0025929874,0.0015637387,0.00089575263,0.0017126251],"category_scores_gemma":[0.11703447,0.00036856646,0.0007168466,0.004419469,0.0012315009,0.0020755148,0.0013801096,0.0011239792,0.00018529817],"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":[0.0010633992,0.00041958079,0.09622845,0.0005799281,0.0005854975,0.0002836821,0.0009602317,0.4788676,0.0009235176,0.052645046,0.0019282346,0.3655149],"study_design_scores_gemma":[0.00017471793,0.001070857,0.055552606,0.00047505306,0.00020251793,0.0005158627,0.0015468143,0.8779877,0.0023437205,0.055047855,0.004873124,0.0002091439],"about_ca_topic_score_codex":0.0074336943,"about_ca_topic_score_gemma":0.007252855,"teacher_disagreement_score":0.02130028,"about_ca_system_score_codex":0.00199192,"about_ca_system_score_gemma":0.0012395657,"threshold_uncertainty_score":0.11264801},"labels":[],"label_agreement":null},{"id":"W2031995346","doi":"10.1080/13518470500531051","title":"An application of expert information to win betting on the Kentucky Derby, 1981–2005","year":2006,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":15,"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 British Columbia; Agricultural Institute of Canada","funders":"University of Pennsylvania","keywords":"Inefficiency; Horse racing; Mile; Race (biology); Index (typography); Test (biology); Expert opinion; Database transaction; Actuarial science; Demographic economics; Economics; Computer science; Geography; Database; Medicine; Microeconomics; World Wide Web","score_opus":0.013769578868932802,"score_gpt":0.20100581626839956,"score_spread":0.18723623739946677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031995346","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":[0.9918113,0.000071686845,0.00086636306,0.0002519717,0.000008159221,0.00008018583,0.0011098529,0.00003137437,0.005769125],"genre_scores_gemma":[0.996347,0.000037470127,0.0010671095,0.000020639029,0.000011657714,0.00002235268,0.0010100353,0.0000043034893,0.0014794256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787354,0.00094159454,0.00013711485,0.000317592,0.00046972922,0.00026031764],"domain_scores_gemma":[0.96543145,0.025731517,0.0041056545,0.0014624846,0.0024437387,0.00082503207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00559102,0.00037350855,0.0005340992,0.0033092424,0.00084211177,0.0011540826,0.00093346456,0.0013160063,0.0049286014],"category_scores_gemma":[0.032315675,0.00022341381,0.00027340295,0.0028825374,0.00047240997,0.0011295096,0.00097054365,0.00074690825,0.00044409517],"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":[0.0020463667,0.001453773,0.80489486,0.00016324715,0.00023157445,0.0012134722,0.0020642546,0.07409514,0.00088478735,0.0057091536,0.01192481,0.09531854],"study_design_scores_gemma":[0.00013904586,0.00074432173,0.69682753,0.00005848918,0.00011162446,0.00015669303,0.0025706603,0.28810075,0.0017457224,0.0042713177,0.0052007046,0.00007316309],"about_ca_topic_score_codex":0.10562909,"about_ca_topic_score_gemma":0.13506503,"teacher_disagreement_score":0.10562909,"about_ca_system_score_codex":0.0040680235,"about_ca_system_score_gemma":0.0013870278,"threshold_uncertainty_score":0.21002853},"labels":[],"label_agreement":null},{"id":"W2037994526","doi":"10.1080/13518470802604457","title":"The Advent of Copulas in Finance","year":2009,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Mathematical finance; Economics; Econometrics; Actuarial science; Corporate finance; Financial economics; Finance","score_opus":0.025358436844806712,"score_gpt":0.21655845807755494,"score_spread":0.19120002123274824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037994526","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":[0.0596264,0.23332311,0.41371378,0.0676795,0.0040100263,0.00009297486,0.00078766106,0.00052269665,0.22024378],"genre_scores_gemma":[0.7695787,0.128414,0.07225998,0.005083665,0.011792138,0.000093816685,0.00041516044,0.00029838402,0.012064157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9961196,0.0018024403,0.00023516805,0.0005197212,0.0010686388,0.0002545597],"domain_scores_gemma":[0.94935274,0.040880773,0.0025104866,0.002853004,0.0036963015,0.0007067292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008223994,0.001101896,0.0016608364,0.0070699756,0.001649751,0.0082572,0.0012129355,0.0025189824,0.0046094363],"category_scores_gemma":[0.04993194,0.0008647158,0.0013968693,0.008649455,0.0054967143,0.01319103,0.0029745586,0.005702164,0.0014256645],"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":[0.000019817127,0.000021576296,0.0014385715,0.00025804993,0.000053759275,0.00014986363,0.00043276767,0.0054246555,0.000112350615,0.95065737,0.0061192163,0.035312194],"study_design_scores_gemma":[0.00000634931,0.000016635708,0.0021310952,0.00031847923,0.00002737379,0.00025899452,0.00017949319,0.012269239,0.00020003108,0.93528193,0.049274478,0.000035841476],"about_ca_topic_score_codex":0.0021801444,"about_ca_topic_score_gemma":0.0010554217,"teacher_disagreement_score":0.0082572,"about_ca_system_score_codex":0.0028642456,"about_ca_system_score_gemma":0.0014173546,"threshold_uncertainty_score":0.04349315},"labels":[],"label_agreement":null},{"id":"W2041745364","doi":"10.1080/13518470801892236","title":"Trading time and trading activity: evidence from extensions of the NYSE trading day","year":2008,"lang":"en","type":"article","venue":"European Journal of Finance","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Lethbridge","funders":"","keywords":"Extension (predicate logic); Volume (thermodynamics); Stock (firearms); Stock exchange; Price discovery; Financial economics; Economics; Monetary economics; Econometrics; Computer science; Finance; Futures contract; History","score_opus":0.07196112476716707,"score_gpt":0.21342606778645637,"score_spread":0.1414649430192893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041745364","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":[0.9978137,0.00028582124,0.00006147714,0.00008519374,0.000010741643,0.000005447651,0.00064472767,0.0000042809734,0.0010886064],"genre_scores_gemma":[0.99699956,0.0002821844,0.00010747725,0.00003184247,0.000061102015,0.000011315106,0.0021264968,0.0000069403814,0.0003730266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897707,0.0003549461,0.00013120938,0.00017333568,0.00025989694,0.00010355105],"domain_scores_gemma":[0.95718306,0.01749998,0.017648727,0.0023578538,0.0019629586,0.0033474278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014846326,0.00025248868,0.00045321896,0.0014787694,0.00040928883,0.0015736462,0.00050881546,0.0006841746,0.002161892],"category_scores_gemma":[0.01664415,0.00027728445,0.00039806392,0.0020268778,0.0007537847,0.0014162813,0.0013033448,0.00090506836,0.0005303578],"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":[0.0012388951,0.00018095961,0.98924226,0.000033708857,0.0001328606,0.00026672217,0.00091521174,0.000426077,0.00060367526,0.00030071233,0.0006511096,0.0060078693],"study_design_scores_gemma":[0.000014577502,0.0000818097,0.99813735,0.000011559511,0.000017493785,0.000080547885,0.00027713657,0.000432017,0.00009254636,0.0001254611,0.0007174429,0.000012033834],"about_ca_topic_score_codex":0.008702848,"about_ca_topic_score_gemma":0.013851821,"teacher_disagreement_score":0.008702848,"about_ca_system_score_codex":0.0004160431,"about_ca_system_score_gemma":0.0002632323,"threshold_uncertainty_score":0.01730436},"labels":[],"label_agreement":null},{"id":"W2044147077","doi":"10.1080/13518470903448473","title":"Monte Carlo methods for pricing discrete Parisian options","year":2010,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":3,"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; University of Waterloo","funders":"","keywords":"Monte Carlo method; Monte Carlo methods for option pricing; Valuation of options; Control variates; Maturity (psychological); Computer science; Quasi-Monte Carlo method; Stock price; Mathematical optimization; Hybrid Monte Carlo; Econometrics; Mathematics; Markov chain Monte Carlo; Series (stratigraphy); Statistics","score_opus":0.03091166475310465,"score_gpt":0.29045187460236666,"score_spread":0.259540209849262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044147077","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":[0.0014184545,0.00019250545,0.9974366,0.000062678526,0.000020652751,0.000023885566,0.000013315877,0.00007324439,0.0007587564],"genre_scores_gemma":[0.18909287,0.0010262721,0.8044536,0.00013933978,0.00018298758,0.00054133934,0.00017403475,0.00018676333,0.00420283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99770653,0.0014268932,0.00008022738,0.00016178902,0.0005387972,0.00008565543],"domain_scores_gemma":[0.99226534,0.0063937465,0.0003940446,0.00037151633,0.00044862297,0.00012669183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040729684,0.000864565,0.0010028095,0.0015569414,0.000663445,0.0014497857,0.0015691029,0.0014591154,0.003859684],"category_scores_gemma":[0.013565908,0.00081961765,0.0009747006,0.0015553841,0.0017206143,0.0016276753,0.0010611643,0.0025357842,0.0006903043],"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":[0.00005442559,0.000052973213,0.00067133445,0.00007577157,0.00007853445,0.00007235436,0.000063084524,0.6892452,0.00082858343,0.27120703,0.00071521435,0.03693546],"study_design_scores_gemma":[0.00001526351,0.000009418204,0.00006442494,0.000012029328,0.000006082868,0.00001985538,0.000003486554,0.96001226,0.00021629172,0.038689893,0.00093985995,0.0000111578665],"about_ca_topic_score_codex":0.0043337215,"about_ca_topic_score_gemma":0.004116813,"teacher_disagreement_score":0.0043337215,"about_ca_system_score_codex":0.0014826512,"about_ca_system_score_gemma":0.0011878433,"threshold_uncertainty_score":0.021540165},"labels":[],"label_agreement":null},{"id":"W2048103033","doi":"10.1080/1351847x.2012.706815","title":"Do Portuguese private firms follow pecking order financing?","year":2012,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Pecking order; Pecking order theory; Finance; Debt; Portuguese; External financing; Business; Internal financing; Equity (law); Order (exchange); Capital structure; Economics; Financial system","score_opus":0.022832078207607055,"score_gpt":0.2115886120655997,"score_spread":0.18875653385799265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048103033","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":[0.99447626,0.000074689946,0.00019468389,0.0003442476,0.0000033686963,0.000015945536,0.0001463498,0.000004145049,0.0047403867],"genre_scores_gemma":[0.99920183,0.000049338934,0.000061983344,0.000033671655,0.000004304377,0.000004198471,0.00012413143,0.0000016698039,0.0005189916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988009,0.0002068537,0.00011562878,0.00026940732,0.00023784522,0.00036932377],"domain_scores_gemma":[0.97502327,0.0074592005,0.013654038,0.0018889179,0.0010012373,0.0009734241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993772,0.00015314127,0.00040786076,0.0006456256,0.0006536355,0.002172582,0.00054894394,0.0010582851,0.004855403],"category_scores_gemma":[0.020251947,0.00023042629,0.0002663143,0.0011490586,0.00096277014,0.0018734613,0.0006792766,0.00077770796,0.0005546615],"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":[0.00029292604,0.0003755288,0.9689516,0.000059123806,0.00005362286,0.0004960555,0.002391486,0.0013616079,0.0007131227,0.005654866,0.00066888134,0.018981175],"study_design_scores_gemma":[0.00006303686,0.00025814882,0.9789755,0.000053872584,0.00003188255,0.00040285857,0.0053160046,0.005216941,0.00061349914,0.0057015084,0.0033412739,0.000025441443],"about_ca_topic_score_codex":0.013731971,"about_ca_topic_score_gemma":0.01309484,"teacher_disagreement_score":0.013731971,"about_ca_system_score_codex":0.0009620256,"about_ca_system_score_gemma":0.0007624933,"threshold_uncertainty_score":0.027304053},"labels":[],"label_agreement":null},{"id":"W2086912211","doi":"10.1080/1351847042000254239","title":"Jai Alai arbitrage strategies","year":2004,"lang":"de","type":"article","venue":"European Journal of Finance","topic":"Economic theories and models","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":"University of British Columbia; University of Ottawa","funders":"","keywords":"Arbitrage; Risk arbitrage; Statistical arbitrage; Economics; Fixed income arbitrage; Financial economics; Mathematical economics; Arbitrage pricing theory; Actuarial science; Capital asset pricing model","score_opus":0.01961320048485091,"score_gpt":0.19527891485101576,"score_spread":0.17566571436616485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086912211","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":[0.24772666,0.0010036278,0.46791,0.0027384013,0.00033213387,0.0003318641,0.00020317463,0.00031572973,0.27943859],"genre_scores_gemma":[0.90647286,0.00042745398,0.04948786,0.00025031544,0.00008364151,0.00018717551,0.0000960235,0.00005996775,0.042934686],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912983,0.00025991138,0.000052052023,0.00013644011,0.00023587827,0.00018592698],"domain_scores_gemma":[0.9991881,0.00033138247,0.000117033225,0.00007515785,0.0001069654,0.00018123694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009882451,0.0007147769,0.00060086785,0.0004889316,0.0011235334,0.0025196667,0.0011299325,0.0014375622,0.006871001],"category_scores_gemma":[0.003536241,0.00023594609,0.0007191042,0.00038176056,0.0009315468,0.0020955508,0.0016197151,0.0013887071,0.0010760638],"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":[0.00015968112,0.00013681741,0.0017708184,0.00006748658,0.00005429862,0.00035726663,0.0007243549,0.022559788,0.0044263112,0.9170924,0.005370978,0.04727985],"study_design_scores_gemma":[0.00006377386,0.0003475915,0.0011940195,0.000054133772,0.000056746107,0.0008065937,0.00047738006,0.31911692,0.0029790523,0.64628226,0.028547876,0.000073616524],"about_ca_topic_score_codex":0.000688778,"about_ca_topic_score_gemma":0.0007543482,"teacher_disagreement_score":0.006871001,"about_ca_system_score_codex":0.0007773042,"about_ca_system_score_gemma":0.00060300116,"threshold_uncertainty_score":0.022985816},"labels":[],"label_agreement":null},{"id":"W2116735527","doi":"10.1080/1351847x.2014.946528","title":"Pension plan solvency and extreme market movements: a regime switching approach","year":2014,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Loughborough University; University of Leeds","keywords":"Solvency; Asset allocation; Pension; Economics; Pension plan; Asset (computer security); Rate of return; Actuarial science; Econometrics; Interest rate; Portfolio; Financial economics; Finance; Computer science","score_opus":0.020019340315056474,"score_gpt":0.18993153127516402,"score_spread":0.16991219096010754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116735527","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":[0.5697868,0.00024436406,0.42212492,0.0006624266,0.00006801404,0.00014293514,0.00033861844,0.00024635333,0.006385615],"genre_scores_gemma":[0.9752103,0.00010271921,0.022827685,0.00007664482,0.000070760805,0.00008041207,0.00020854916,0.000020725398,0.0014021479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982135,0.0009482072,0.00007282532,0.00026844253,0.00029700703,0.00019999739],"domain_scores_gemma":[0.98497635,0.011433352,0.0018769901,0.00077792734,0.00042189227,0.00051358854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006433879,0.0005408164,0.0009071693,0.0016465661,0.0004554012,0.0017041594,0.0013714437,0.0014877879,0.0034170698],"category_scores_gemma":[0.015995827,0.0003628079,0.001554481,0.0008384091,0.0011884731,0.0012955589,0.0018573737,0.0019705493,0.00026515368],"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":[0.00070586416,0.00073722296,0.14750892,0.00015904839,0.0011001825,0.0010129153,0.0008962749,0.61902136,0.0054413592,0.11140292,0.0020494955,0.10996438],"study_design_scores_gemma":[0.000014247183,0.0000785336,0.006291496,0.000010764938,0.000028149092,0.000049999653,0.0000444106,0.98039037,0.000297907,0.012524133,0.00024322672,0.000026916825],"about_ca_topic_score_codex":0.0027350127,"about_ca_topic_score_gemma":0.0023735205,"teacher_disagreement_score":0.006433879,"about_ca_system_score_codex":0.0007877387,"about_ca_system_score_gemma":0.0005922554,"threshold_uncertainty_score":0.034025967},"labels":[],"label_agreement":null},{"id":"W2346097960","doi":"10.1080/1351847x.2016.1090051","title":"Chinese style capitalism: current development and future implications","year":2016,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Chinese University of Hong Kong; University of Hong Kong; Durham University; University of Cambridge","keywords":"Capitalism; China; Style (visual arts); Capital (architecture); Business development; Political science; Economics; Management; Business; Business administration; History; Ancient history","score_opus":0.013421601420498508,"score_gpt":0.21445036978176354,"score_spread":0.20102876836126504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346097960","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":[0.5407667,0.19383156,0.0009624384,0.14452453,0.0013549045,0.00007809349,0.0017393586,0.000056822413,0.11668553],"genre_scores_gemma":[0.9185729,0.06859287,0.00044512167,0.0025792061,0.0006684107,0.000027860671,0.00041371127,0.000006155069,0.008693804],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996815,0.00005636216,0.000014444415,0.00004853961,0.000067213754,0.00013204744],"domain_scores_gemma":[0.99867827,0.000285306,0.00016889015,0.000048528003,0.00038783232,0.0004310405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012493292,0.00024422677,0.00035820607,0.0012832248,0.0009150199,0.0024035275,0.0005647843,0.00054382614,0.010884597],"category_scores_gemma":[0.0013635253,0.00009431734,0.00022034864,0.0040339585,0.0020954143,0.0022600342,0.0007121016,0.00070291053,0.00033479018],"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":[0.00050056487,0.000205569,0.115364335,0.0017040293,0.000109639725,0.0009854385,0.01004431,0.0006402625,0.0009677914,0.1887099,0.042488206,0.63828],"study_design_scores_gemma":[0.00008605324,0.00041790315,0.6727256,0.0015126764,0.00009874392,0.0005730531,0.023687562,0.0017304517,0.0008778762,0.05407693,0.244107,0.000106172934],"about_ca_topic_score_codex":0.04083099,"about_ca_topic_score_gemma":0.042516798,"teacher_disagreement_score":0.04083099,"about_ca_system_score_codex":0.0038058553,"about_ca_system_score_gemma":0.0042123646,"threshold_uncertainty_score":0.08118665},"labels":[],"label_agreement":null},{"id":"W2519390601","doi":"10.1080/1351847x.2016.1233126","title":"Financial distress, political affiliation and earnings management: the case of politically affiliated private firms","year":2016,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Earnings management; Earnings; Politics; Financial distress; Business; China; Sample (material); Distress; Finance; Demographic economics; Financial system; Economics; Political science; Psychology","score_opus":0.006426657701141541,"score_gpt":0.19525564934806328,"score_spread":0.18882899164692174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519390601","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":[0.9998047,0.000025084708,0.000011953494,0.000041086438,5.135897e-7,0.0000015256337,0.000010578632,1.5740903e-7,0.00010457008],"genre_scores_gemma":[0.9998185,0.000031293377,0.000011716687,0.000008081913,0.0000032959865,0.0000015311836,0.000033927296,1.5572427e-7,0.00009139863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936503,0.00017578684,0.00003139774,0.000059303424,0.00006171169,0.00030678447],"domain_scores_gemma":[0.9958175,0.0010209137,0.0019940464,0.00017644776,0.00022622487,0.0007648172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010457106,0.00026693102,0.00034497175,0.0012291413,0.0015935184,0.0011577421,0.00053627306,0.0005851363,0.0025173211],"category_scores_gemma":[0.0030352338,0.00015160785,0.00033347422,0.0015616243,0.00089752453,0.00075144204,0.0015171069,0.0007429676,0.00015324367],"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":[0.0000603838,0.00014331669,0.995669,0.000005265365,0.000024685012,0.00046621732,0.0013496731,0.0001417458,0.00012986686,0.00022528095,0.00007472592,0.0017098116],"study_design_scores_gemma":[0.000012457551,0.000043919932,0.9929448,0.0000064761516,0.000037215257,0.000118617856,0.004879983,0.0015830738,0.00006681227,0.00016705417,0.00013318504,0.000006419396],"about_ca_topic_score_codex":0.09362821,"about_ca_topic_score_gemma":0.122205704,"teacher_disagreement_score":0.09362821,"about_ca_system_score_codex":0.0013540058,"about_ca_system_score_gemma":0.000996686,"threshold_uncertainty_score":0.18616652},"labels":[],"label_agreement":null},{"id":"W2624467454","doi":"10.1080/1351847x.2017.1345051","title":"Chinese capital markets: institutional reforms and growing global links","year":2017,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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":"York University","funders":"","keywords":"Capital market; Capital (architecture); Political science; Business; Finance; Geography","score_opus":0.010992518525637106,"score_gpt":0.21624633873611823,"score_spread":0.20525382021048114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624467454","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":[0.7414326,0.00644148,0.0012867404,0.01939232,0.0003226783,0.00008673003,0.0008882959,0.00015511307,0.22999406],"genre_scores_gemma":[0.97788185,0.0022095859,0.0002955722,0.0010101538,0.00015919338,0.000019436771,0.0002865992,0.000016778296,0.018120741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99943715,0.00007293149,0.000025941858,0.000083032945,0.00011756047,0.00026324624],"domain_scores_gemma":[0.99916816,0.00014581435,0.0001908016,0.000096726835,0.00016955782,0.00022886564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011136434,0.00034813583,0.00031505252,0.002520339,0.0025029322,0.00464638,0.00041415225,0.0007515065,0.012747223],"category_scores_gemma":[0.0018678113,0.0001690369,0.00023248879,0.0069070393,0.0027726844,0.003703083,0.0018268644,0.0009205267,0.00042379182],"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":[0.00029541983,0.00007976853,0.058248382,0.00052281533,0.000095917974,0.002155864,0.026019253,0.002021026,0.003271428,0.68164355,0.04557552,0.18007109],"study_design_scores_gemma":[0.00010786832,0.0001136843,0.46473747,0.00018179732,0.000082174345,0.00044493735,0.015914125,0.0037493447,0.0020754926,0.07542028,0.43707594,0.00009695413],"about_ca_topic_score_codex":0.028449804,"about_ca_topic_score_gemma":0.036769237,"teacher_disagreement_score":0.028449804,"about_ca_system_score_codex":0.005284456,"about_ca_system_score_gemma":0.004741776,"threshold_uncertainty_score":0.056568444},"labels":[],"label_agreement":null},{"id":"W2904779465","doi":"10.1080/1351847x.2019.1588763","title":"Anticipating critical transitions of the housing market: new evidence from China","year":2019,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Complex Systems and Time Series Analysis","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":"National Natural Science Foundation of China","keywords":"Quantile; Beijing; Econometrics; Real estate; Robustness (evolution); China; Confidence interval; Quantile regression; Calibration; Warning system; Economics; Computer science; Statistics; Geography; Mathematics; Finance","score_opus":0.037913998907663886,"score_gpt":0.22508071976499977,"score_spread":0.18716672085733588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904779465","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":[0.99735427,0.00022390744,0.0010081029,0.00019488436,0.0000053244307,0.0000073114643,0.00029061042,0.000014495903,0.0009011516],"genre_scores_gemma":[0.9992217,0.00009072584,0.00019871703,0.000020935355,0.000010573633,0.0000028753861,0.0003354124,0.0000033111276,0.000115759925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981636,0.000028796241,0.000016743634,0.00004865109,0.00004651342,0.000043012544],"domain_scores_gemma":[0.9972691,0.00067885977,0.0009041193,0.00028475703,0.0005706139,0.0002925255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171082,0.0002264277,0.00026716525,0.0010365824,0.00033335504,0.00061920064,0.0004751857,0.00031317992,0.000957335],"category_scores_gemma":[0.0037355693,0.00013543242,0.00023466034,0.001121169,0.00063404324,0.0007650903,0.00074392295,0.00049858674,0.00010688338],"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":[0.00018042175,0.00007253941,0.9604471,0.00009665039,0.000115128496,0.00076051365,0.0019177591,0.0052369605,0.001472952,0.0040040705,0.0019129799,0.023782946],"study_design_scores_gemma":[0.00001478603,0.000054938806,0.96942407,0.000020420119,0.000054992695,0.00007764404,0.00087528676,0.024697129,0.0010680008,0.0017420183,0.0019418834,0.00002891769],"about_ca_topic_score_codex":0.050576724,"about_ca_topic_score_gemma":0.041737184,"teacher_disagreement_score":0.050576724,"about_ca_system_score_codex":0.0005002894,"about_ca_system_score_gemma":0.00052818854,"threshold_uncertainty_score":0.10056466},"labels":[],"label_agreement":null},{"id":"W2912418653","doi":"10.1080/1351847x.2019.1571725","title":"Chinese capital markets: challenges to the China model","year":2019,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","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 Manitoba","funders":"","keywords":"China; Legislature; Capital market; Political science; Government (linguistics); Doctrine; Communism; Capital (architecture); Economics; Public administration; Finance; Politics; Law","score_opus":0.012544145834296642,"score_gpt":0.1965017636192143,"score_spread":0.18395761778491765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912418653","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2032628,0.006714984,0.025404189,0.21220334,0.00088397285,0.0001664348,0.0011741099,0.00021203818,0.5499782],"genre_scores_gemma":[0.9532486,0.0025597839,0.0020376353,0.0035793588,0.00044863456,0.000103089995,0.00014233896,0.000031958214,0.037848584],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99955493,0.00010923321,0.000011088351,0.00007409523,0.00012853646,0.0001220776],"domain_scores_gemma":[0.99916124,0.00021442639,0.00010180985,0.00008509273,0.00020381213,0.00023358084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013557741,0.00040977658,0.0005844351,0.000777907,0.0020527842,0.0042070076,0.0011141034,0.001565305,0.010486182],"category_scores_gemma":[0.002526268,0.00018054854,0.0004913386,0.0011934385,0.0038234661,0.0040830504,0.0016968966,0.0022639818,0.0006933576],"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":[0.000011890667,0.0000058927885,0.0005569131,0.000014632412,0.000007103703,0.00007210181,0.00021498482,0.0016767738,0.000026460219,0.9869767,0.0063274237,0.004109097],"study_design_scores_gemma":[0.000046236528,0.000018194174,0.0015638096,0.000042584485,0.000012893434,0.00007222178,0.00030205262,0.01538,0.0000783188,0.952478,0.029985039,0.000020654012],"about_ca_topic_score_codex":0.06812599,"about_ca_topic_score_gemma":0.0425957,"teacher_disagreement_score":0.06812599,"about_ca_system_score_codex":0.0061364835,"about_ca_system_score_gemma":0.0073348363,"threshold_uncertainty_score":0.13545889},"labels":[],"label_agreement":null},{"id":"W2915407620","doi":"10.1080/1351847x.2016.1272474","title":"Analysis of the seeds of the debt crisis in Europe","year":2017,"lang":"en","type":"preprint","venue":"European Journal of Finance","topic":"Global Financial Crisis and Policies","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":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Leverage (statistics); Debt; Economics; Net worth; Net foreign assets; Present value; Sustainable growth rate; Monetary economics; Net (polyhedron); Growth model; Net present value; Financial economics; Macroeconomics; Current account; Finance; Mathematics; Exchange rate","score_opus":0.03296469847833607,"score_gpt":0.23874167394743132,"score_spread":0.20577697546909524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915407620","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":[0.9913522,0.000674273,0.0021503645,0.00063924724,0.000021809348,0.0000144530495,0.0005304961,0.000037729817,0.004579445],"genre_scores_gemma":[0.9987011,0.0002694963,0.00024887823,0.000032574906,0.000015915337,0.000004826149,0.0003310113,0.00000834377,0.00038771323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984074,0.000045651264,0.000014570134,0.000030391511,0.000034638226,0.000033979468],"domain_scores_gemma":[0.9982811,0.00069927255,0.0005660314,0.00005884215,0.00019920456,0.00019554769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089093915,0.00026300803,0.00056628865,0.0013414519,0.0002643094,0.0016092714,0.00030597925,0.00090714416,0.0016075086],"category_scores_gemma":[0.004201372,0.00022393375,0.0004351817,0.0013161835,0.00048747036,0.0010085457,0.00075534766,0.0009237622,0.00010538374],"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":[0.0010342066,0.00035077965,0.3980931,0.00033088186,0.000549532,0.0045969496,0.0008027945,0.4456473,0.0029739323,0.10983754,0.008776166,0.027006805],"study_design_scores_gemma":[0.00010540809,0.00031865234,0.4595574,0.00017279238,0.0001900553,0.00064579124,0.0017824109,0.4825236,0.001967868,0.044767674,0.007868534,0.00009972104],"about_ca_topic_score_codex":0.0059446637,"about_ca_topic_score_gemma":0.0040058084,"teacher_disagreement_score":0.0059446637,"about_ca_system_score_codex":0.00097408553,"about_ca_system_score_gemma":0.0004219949,"threshold_uncertainty_score":0.0118201375},"labels":[],"label_agreement":null},{"id":"W2933483171","doi":"10.1080/1351847x.2019.1602068","title":"Pricing temperature derivatives with a filtered historical simulation approach","year":2019,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Risk and Volatility Modeling","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":"University of Manitoba; University of Waterloo","funders":"","keywords":"Kurtosis; Volatility (finance); Econometrics; Flexibility (engineering); Skewness; Sample (material); Economics; Risk premium; Valuation of options; Computer science; Mathematics; Statistics; Thermodynamics","score_opus":0.03003456855917892,"score_gpt":0.20007125151341978,"score_spread":0.17003668295424088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933483171","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":[0.049173467,0.0001862042,0.9474027,0.00019515373,0.000079382364,0.00003387255,0.000080653444,0.0004951897,0.0023533683],"genre_scores_gemma":[0.8966896,0.00023992056,0.10050157,0.00012052991,0.00014048824,0.000061150655,0.00026592187,0.000117348296,0.0018634794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891543,0.00045431353,0.000057811896,0.00014556242,0.0003356556,0.00009129257],"domain_scores_gemma":[0.9971084,0.0015222257,0.00031851398,0.0004125771,0.00050911424,0.00012915554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002324862,0.0005704103,0.0008276961,0.001162464,0.00042414182,0.0015333103,0.0015940663,0.0009828827,0.0025593925],"category_scores_gemma":[0.008693211,0.000541946,0.0009496473,0.0007249902,0.00062051724,0.0026733186,0.00072810316,0.0009682803,0.00024837902],"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":[0.00007950903,0.00006134579,0.0038439392,0.00002556522,0.0000762498,0.00010264418,0.000052742955,0.9146759,0.0011106587,0.059367396,0.00055827724,0.020045752],"study_design_scores_gemma":[0.0000039124466,0.000011170678,0.00022510506,0.0000025972788,0.000004994817,0.000016301876,0.000002886442,0.993189,0.00019419358,0.0059633255,0.0003791381,0.0000074235063],"about_ca_topic_score_codex":0.0067881094,"about_ca_topic_score_gemma":0.005561105,"teacher_disagreement_score":0.0067881094,"about_ca_system_score_codex":0.0009991328,"about_ca_system_score_gemma":0.00083859015,"threshold_uncertainty_score":0.013497174},"labels":[],"label_agreement":null},{"id":"W2945781890","doi":"10.1080/1351847x.2019.1618361","title":"Corporate investment and earnings surprises","year":2019,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; University of Toronto; University of Texas at Austin","keywords":"Endogeneity; Accrual; Earnings; Earnings management; Investment (military); Economics; Accounting; Business; Investment decisions; Monetary economics; Finance; Econometrics; Behavioral economics","score_opus":0.013313483902772214,"score_gpt":0.18019276130813136,"score_spread":0.16687927740535916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945781890","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":[0.99472976,0.0006702317,0.00024327928,0.0006929833,0.000023403403,0.0000060067723,0.00061920186,0.00001959916,0.0029955357],"genre_scores_gemma":[0.998831,0.00010184163,0.000032746917,0.00003242008,0.00003012785,0.0000019920521,0.0004902675,0.0000016939346,0.00047793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990976,0.00022877549,0.00011079965,0.0001407331,0.00022521362,0.00019697096],"domain_scores_gemma":[0.9453874,0.014909441,0.03446111,0.001468222,0.0013473431,0.0024265063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015824181,0.00022889525,0.00034072174,0.0007332786,0.00028359552,0.0013647497,0.00032857235,0.0007487097,0.003540824],"category_scores_gemma":[0.02176933,0.00012478752,0.00030367525,0.0010830562,0.00038345734,0.00075887685,0.00084589527,0.0013655527,0.0007360202],"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":[0.00013720106,0.00008468979,0.9924185,0.000013210166,0.00006330602,0.00012108702,0.00007196418,0.0009416634,0.00012990281,0.00057543156,0.00075190986,0.0046911305],"study_design_scores_gemma":[0.000007685979,0.00012283325,0.99415284,0.000016253785,0.00003773252,0.00019016025,0.0001335209,0.0025402233,0.00022734818,0.0013939255,0.0011644762,0.000012919875],"about_ca_topic_score_codex":0.0026495089,"about_ca_topic_score_gemma":0.0026778728,"teacher_disagreement_score":0.003540824,"about_ca_system_score_codex":0.0006839875,"about_ca_system_score_gemma":0.00022628177,"threshold_uncertainty_score":0.011845231},"labels":[],"label_agreement":null},{"id":"W2948855528","doi":"10.1080/1351847x.2022.2037681","title":"Varieties of funds and performance: the case of private equity","year":2022,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","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":"Western University","funders":"","keywords":"Fund of funds; Private equity fund; Private equity; Closed-end fund; Venture capital; Income fund; Business; Limited partnership; Equity (law); Open-end fund; Private equity firm; Economics; Finance; Financial economics; Institutional investor; Fund administration; Corporate governance; General partnership; Political science","score_opus":0.024498129503714314,"score_gpt":0.222763555402652,"score_spread":0.1982654258989377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948855528","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":[0.93471205,0.003390061,0.0016908618,0.0030995172,0.000019986906,0.000020658166,0.000089479814,0.00001752064,0.056959774],"genre_scores_gemma":[0.9991641,0.00017864964,0.00012188994,0.000024093426,0.000018064824,0.0000028546142,0.000008933495,0.0000025517047,0.0004788405],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99751484,0.0011237044,0.00010577232,0.00023414081,0.00048660324,0.00053502526],"domain_scores_gemma":[0.98505855,0.0072496277,0.0039890017,0.00093884865,0.0011712821,0.0015927386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032357464,0.00020894685,0.0004342261,0.002893513,0.0014510205,0.0059302347,0.00051480863,0.0013381891,0.0029531533],"category_scores_gemma":[0.022732165,0.000114883194,0.0003158224,0.0023633004,0.0047320863,0.004770307,0.003785175,0.00090172427,0.00021381822],"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":[0.0007541481,0.00024333499,0.4402096,0.00013605511,0.00018482932,0.002055999,0.011391808,0.0062821773,0.0008161112,0.44793376,0.0027806696,0.08721158],"study_design_scores_gemma":[0.00012042326,0.00039652968,0.59516144,0.0003359887,0.00016620533,0.002850019,0.024498047,0.007856505,0.0010793894,0.34593078,0.021489978,0.000114614275],"about_ca_topic_score_codex":0.0055115293,"about_ca_topic_score_gemma":0.003480775,"teacher_disagreement_score":0.0059302347,"about_ca_system_score_codex":0.0025501493,"about_ca_system_score_gemma":0.00084714557,"threshold_uncertainty_score":0.018502772},"labels":[],"label_agreement":null},{"id":"W2949243971","doi":"10.1080/1351847x.2019.1639526","title":"The effectiveness of smartphone apps in improving financial capability","year":2019,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Queen's University; Queen's University Belfast","keywords":"Context (archaeology); Smartphone application; Debt; Finance; Business; Smartphone app; European union; Loan; Cash; Shock (circulatory); Internet privacy; Computer science; Multimedia; Medicine","score_opus":0.004938031433912333,"score_gpt":0.18459933238996057,"score_spread":0.17966130095604824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949243971","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":[0.96476907,0.012409287,0.00074616104,0.0019396759,0.00032447153,0.0009055829,0.00038660024,0.000100311,0.018418895],"genre_scores_gemma":[0.9841039,0.0077016745,0.00413962,0.0006331776,0.00016994173,0.00061763206,0.00013534228,0.000012312992,0.002486342],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997595,0.0012832743,0.0002288394,0.0001683426,0.00049929833,0.0002251659],"domain_scores_gemma":[0.9889158,0.009057166,0.00082668057,0.00021945701,0.00048721783,0.0004936505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002940498,0.00053453713,0.00043504048,0.00073104724,0.00037044805,0.0012016492,0.00036469154,0.0009489155,0.0049299505],"category_scores_gemma":[0.018255012,0.00016237247,0.0010206797,0.00038647803,0.00035851524,0.0016164513,0.0010925375,0.0007140835,0.00054040935],"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":[0.00609557,0.00898719,0.04260823,0.008132656,0.0009765765,0.00034570874,0.0032463248,0.0004534792,0.0024648807,0.000669318,0.0040265173,0.92199343],"study_design_scores_gemma":[0.005184944,0.09542571,0.7810776,0.017742272,0.006190404,0.0019071167,0.009718553,0.0035474142,0.006885121,0.0023955395,0.06958856,0.00033675824],"about_ca_topic_score_codex":0.0011283256,"about_ca_topic_score_gemma":0.0020142205,"teacher_disagreement_score":0.0049299505,"about_ca_system_score_codex":0.0003604969,"about_ca_system_score_gemma":0.0007300834,"threshold_uncertainty_score":0.016492367},"labels":[],"label_agreement":null},{"id":"W2979312332","doi":"10.1080/1351847x.2019.1680407","title":"Investors’ activism and the gains from takeover deals","year":2019,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Shanghai University of Finance and Economics; University of North Carolina at Chapel Hill; Brock University; McMaster University","keywords":"Shareholder; Cash; Business; Monetary economics; Value (mathematics); Financial system; Economics; Finance; Corporate governance","score_opus":0.020705240174572714,"score_gpt":0.1932597566114592,"score_spread":0.1725545164368865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979312332","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":[0.9844678,0.00037336917,0.00015953662,0.00039682994,0.000009522301,0.000014321247,0.000058822145,0.0000059360855,0.014513832],"genre_scores_gemma":[0.99803835,0.0001111739,0.000030001625,0.00003724452,0.000033573415,0.0000033631916,0.00005392105,9.583916e-7,0.0016914763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992606,0.00013158588,0.000045751567,0.000053947966,0.00023301133,0.0002751046],"domain_scores_gemma":[0.9871328,0.0036455458,0.0064740395,0.00030805074,0.00050318823,0.0019364663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001250908,0.00019835113,0.00022912888,0.0006773989,0.00027265534,0.0019187854,0.00023737192,0.0010752298,0.0065977774],"category_scores_gemma":[0.007356662,0.00009125134,0.00025369905,0.00031398443,0.0006378806,0.0013161566,0.001196032,0.0010777053,0.00069908664],"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":[0.0021038102,0.0025394177,0.90781486,0.00013557471,0.0004226639,0.0012648052,0.0008553588,0.0030818197,0.008872598,0.012480584,0.0016067333,0.058821812],"study_design_scores_gemma":[0.000115034745,0.0016122435,0.9840365,0.000045682405,0.00013373286,0.0004885479,0.0009162514,0.0020786186,0.0025005958,0.005438704,0.002612685,0.000021501559],"about_ca_topic_score_codex":0.0005577498,"about_ca_topic_score_gemma":0.0011634739,"teacher_disagreement_score":0.0065977774,"about_ca_system_score_codex":0.0006093927,"about_ca_system_score_gemma":0.00022672926,"threshold_uncertainty_score":0.022071779},"labels":[],"label_agreement":null},{"id":"W3091821644","doi":"10.1080/1351847x.2020.1828962","title":"Bitcoin option pricing with a SETAR-GARCH model","year":2020,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":44,"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":"Australian Research Council","keywords":"Heteroscedasticity; SETAR; Autoregressive conditional heteroskedasticity; Autoregressive model; Econometrics; Conditional variance; Valuation of options; Economics; Computer science; Time series; Mathematics; STAR model; Autoregressive integrated moving average; Statistics; Volatility (finance)","score_opus":0.04137377302960955,"score_gpt":0.19934004451724074,"score_spread":0.1579662714876312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091821644","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":[0.3008414,0.0014146342,0.67735875,0.0010000305,0.0001981208,0.0000800153,0.00038244546,0.00043574092,0.018288927],"genre_scores_gemma":[0.97538245,0.000598793,0.015581141,0.000082333834,0.000092156246,0.000041046624,0.00015822462,0.00004087654,0.00802292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992855,0.00034280712,0.000030149582,0.00010066331,0.00017275623,0.00006820548],"domain_scores_gemma":[0.99897134,0.00059854134,0.00017575764,0.000064324704,0.00012955022,0.000060443264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114832,0.00079769356,0.0013009809,0.0006126004,0.00051786297,0.0023208912,0.0012407865,0.001653458,0.0028078945],"category_scores_gemma":[0.0031200128,0.00036856259,0.00083555863,0.0012216467,0.00069635944,0.0023940052,0.0007055851,0.0016654101,0.00039169806],"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":[0.000072729585,0.00007983312,0.0016812168,0.000054338594,0.00007451675,0.00041825234,0.000078050594,0.8779719,0.0015831171,0.10988387,0.0008716557,0.007230441],"study_design_scores_gemma":[0.0000027661977,0.0000068737586,0.00015279835,0.00000136846,0.0000043284795,0.000020276815,0.0000044838157,0.99474275,0.000047008838,0.004909101,0.00010298997,0.0000052697605],"about_ca_topic_score_codex":0.006892888,"about_ca_topic_score_gemma":0.0029988252,"teacher_disagreement_score":0.006892888,"about_ca_system_score_codex":0.000644082,"about_ca_system_score_gemma":0.0006124848,"threshold_uncertainty_score":0.013705552},"labels":[],"label_agreement":null},{"id":"W3096830298","doi":"10.1080/1351847x.2020.1832552","title":"Portfolio choices and hedge funds: a disappointment aversion analysis","year":2020,"lang":"en","type":"article","venue":"European Journal of Finance","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":"HEC Montréal; Université du Québec à Montréal","funders":"","keywords":"Disappointment; Economics; Portfolio; Hedge fund; Asset (computer security); Loss aversion; Financial economics; Risk aversion (psychology); Actuarial science; Econometrics; Microeconomics; Expected utility hypothesis; Finance; Computer science","score_opus":0.033525673876489595,"score_gpt":0.20104475121985746,"score_spread":0.16751907734336785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096830298","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":[0.6050836,0.0025864108,0.36807182,0.0018268453,0.000057723264,0.00011124689,0.00014378264,0.000099436824,0.022019189],"genre_scores_gemma":[0.9915902,0.00046071215,0.0056067975,0.00006003003,0.000035799825,0.00002440363,0.000025223057,0.000008877893,0.0021880602],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907136,0.0005048343,0.000039633953,0.00010408987,0.00014450274,0.00013560595],"domain_scores_gemma":[0.99364084,0.004264118,0.0011186152,0.0003820667,0.00023839882,0.00035587576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004816056,0.0007831201,0.0008932154,0.0009276015,0.00050680427,0.002301278,0.0010567477,0.0013204941,0.0031621663],"category_scores_gemma":[0.013949321,0.00041541518,0.001075155,0.00072724256,0.0017142122,0.0026635095,0.0015610548,0.0018908286,0.0002009145],"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":[0.00040760072,0.0002289745,0.01643643,0.00018548174,0.00035999017,0.0006635614,0.00036241455,0.2865359,0.0030179634,0.64846617,0.0016539551,0.041681528],"study_design_scores_gemma":[0.0000810741,0.00029068216,0.0060335724,0.000072753195,0.00020057634,0.0002912824,0.00016389573,0.5510782,0.00081706507,0.4387693,0.0021397686,0.00006183459],"about_ca_topic_score_codex":0.0012666157,"about_ca_topic_score_gemma":0.00086728286,"teacher_disagreement_score":0.004816056,"about_ca_system_score_codex":0.001108849,"about_ca_system_score_gemma":0.00050120056,"threshold_uncertainty_score":0.025470018},"labels":[],"label_agreement":null},{"id":"W3121937590","doi":"10.1080/1351847x.2015.1029590","title":"A bootstrap-based comparison of portfolio insurance strategies","year":2015,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Lethbridge","keywords":"Downside risk; Portfolio insurance; Portfolio; Actuarial science; Probabilistic logic; Econometrics; Portfolio optimization; Economics; Replicating portfolio; Computer science; Financial economics; Artificial intelligence","score_opus":0.08417739293616057,"score_gpt":0.3559230577346019,"score_spread":0.27174566479844137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121937590","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":[0.9103915,0.0010081838,0.08132334,0.0000970754,0.00005111968,0.00026192938,0.0008142574,0.00019206014,0.005860546],"genre_scores_gemma":[0.9783895,0.00018595131,0.019938162,0.00003125653,0.00001482999,0.00016312298,0.0009101263,0.000026430964,0.0003405853],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9941168,0.0036719143,0.00042155635,0.00040742202,0.0011819277,0.00020042103],"domain_scores_gemma":[0.96149474,0.03207853,0.0013478519,0.00269413,0.002134969,0.00024980734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011821506,0.00045174966,0.00078627974,0.0020661848,0.00020427207,0.0007038795,0.00065016345,0.0008668028,0.002331017],"category_scores_gemma":[0.04263163,0.000147906,0.0007175075,0.00095027714,0.0003927261,0.0011209014,0.00089259265,0.0005374956,0.00036447938],"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":[0.009055712,0.0024422342,0.12409641,0.001456847,0.0045080967,0.00043049944,0.00060384086,0.2905358,0.025263838,0.041363757,0.004631652,0.4956113],"study_design_scores_gemma":[0.000782867,0.018800806,0.13563405,0.00024619573,0.0009656273,0.00086987385,0.0008886808,0.78780884,0.021753414,0.025625031,0.006426057,0.00019859677],"about_ca_topic_score_codex":0.0003199973,"about_ca_topic_score_gemma":0.0002602693,"teacher_disagreement_score":0.011821506,"about_ca_system_score_codex":0.00035578595,"about_ca_system_score_gemma":0.00042439034,"threshold_uncertainty_score":0.062518835},"labels":[],"label_agreement":null},{"id":"W3122412112","doi":"10.1080/1351847x.2018.1491875","title":"The systematic pricing of market sentiment shock","year":2018,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tyndale University College & Seminary","funders":"","keywords":"Capital asset pricing model; Security market line; Economics; Consumption-based capital asset pricing model; Systematic risk; Market liquidity; Financial economics; Arbitrage pricing theory; Shock (circulatory); Investment theory; Risk premium; Rational pricing; Liquidity risk; Stock market; Econometrics; Monetary economics; Context (archaeology)","score_opus":0.021031596876790366,"score_gpt":0.19987677814255178,"score_spread":0.1788451812657614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122412112","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":[0.9407427,0.00052586274,0.036251824,0.0010323166,0.00009414668,0.000025597148,0.00020121202,0.000066743116,0.021059519],"genre_scores_gemma":[0.9978696,0.00017584498,0.0006492718,0.00005149525,0.00004661317,0.0000045698143,0.000040362425,0.000005278537,0.0011569114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99989986,0.000016623248,0.0000067361952,0.000017317783,0.000034807472,0.000024567378],"domain_scores_gemma":[0.9991417,0.0002664184,0.00034382098,0.000068582616,0.000116276424,0.0000631791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023266464,0.00023585028,0.00018113652,0.00020134791,0.00017004256,0.00090732746,0.00017954115,0.00039859457,0.0028141472],"category_scores_gemma":[0.0024534434,0.0001199444,0.00024411501,0.00019250208,0.00030507133,0.00078699936,0.0005281201,0.0005237802,0.00019544049],"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":[0.00038916318,0.00035852438,0.17462976,0.00026979588,0.0002618197,0.0024934679,0.0009626216,0.057501942,0.047843773,0.5433507,0.01291054,0.1590278],"study_design_scores_gemma":[0.00007593969,0.00058384676,0.3147729,0.000090053254,0.00017314685,0.001138275,0.00040819385,0.38947743,0.011970719,0.27010143,0.011086745,0.00012128672],"about_ca_topic_score_codex":0.0014143027,"about_ca_topic_score_gemma":0.00100556,"teacher_disagreement_score":0.0028141472,"about_ca_system_score_codex":0.00034767247,"about_ca_system_score_gemma":0.00026702747,"threshold_uncertainty_score":0.009414256},"labels":[],"label_agreement":null},{"id":"W3122682861","doi":"10.1080/1351847x.2014.917120","title":"The value of home-country governance for cross-listed stocks","year":2014,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; York University; McMaster University","keywords":"Corporate governance; Business; Cross listing; Accounting; Language change; Sovereignty; Quality (philosophy); Value (mathematics); Financial system; Finance; Politics","score_opus":0.010497584015961963,"score_gpt":0.2103475493224424,"score_spread":0.19984996530648044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122682861","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":[0.99683017,0.00023811395,0.000107447726,0.0001252551,0.0000050100693,0.0000034729462,0.00013019129,0.0000030973447,0.0025572479],"genre_scores_gemma":[0.99945277,0.00006195495,0.000021422207,0.000010490022,0.000005098649,7.5020694e-7,0.0001297873,7.011809e-7,0.00031698385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969923,0.00007278121,0.000026619196,0.000060545073,0.00006022822,0.00008070217],"domain_scores_gemma":[0.9921256,0.0017596883,0.004319156,0.0004194252,0.000506322,0.00086988433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079279323,0.00015598563,0.00027809193,0.0010996185,0.00037312845,0.002174872,0.00024017434,0.0003741172,0.0034883374],"category_scores_gemma":[0.0049155317,0.00006767893,0.00024276486,0.0013280767,0.000913093,0.0014532198,0.0010344456,0.0006063475,0.0001983443],"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":[0.000047475092,0.000035369936,0.9903866,0.000016145903,0.00008692458,0.0001935908,0.00032977702,0.00046293126,0.00029152192,0.001805563,0.00025195142,0.006092183],"study_design_scores_gemma":[0.0000053400704,0.00006763372,0.99487716,0.00002040488,0.00006884014,0.00012588735,0.001107618,0.0013756137,0.00045236904,0.0011368664,0.00075280503,0.00000944737],"about_ca_topic_score_codex":0.0055295792,"about_ca_topic_score_gemma":0.011077753,"teacher_disagreement_score":0.0055295792,"about_ca_system_score_codex":0.0007520969,"about_ca_system_score_gemma":0.00028063555,"threshold_uncertainty_score":0.011669636},"labels":[],"label_agreement":null},{"id":"W3124447282","doi":"10.1080/13518470500531135","title":"Comovements and correlations in international stock markets","year":2006,"lang":"en","type":"article","venue":"European Journal of Finance","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":"Financial economics; Stock (firearms); Financial market; Portfolio; Stock market; International market; Economics; Emerging markets; Project portfolio management; Business; International economics; Finance; Geography","score_opus":0.021974656127505043,"score_gpt":0.20920024153599065,"score_spread":0.1872255854084856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124447282","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":[0.98746115,0.00075127336,0.0076156184,0.00031483182,0.000019234853,0.000014875254,0.00016799134,0.000038733968,0.0036163062],"genre_scores_gemma":[0.9990766,0.00015349888,0.00043499478,0.0000075998146,0.000016430182,0.0000051492502,0.00006912946,0.0000030158446,0.00023352476],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914694,0.00029333303,0.00008607829,0.00014317209,0.00024411782,0.00008622059],"domain_scores_gemma":[0.9900697,0.0055174422,0.0026373202,0.0005204625,0.0008513443,0.0004038018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018185836,0.0002481423,0.00051129615,0.0028928088,0.00033771628,0.0020733026,0.00028189318,0.0004394643,0.0017575467],"category_scores_gemma":[0.01525857,0.00023993815,0.00034269525,0.0032003485,0.0008528059,0.0014931131,0.0008600972,0.00045011172,0.00016316416],"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":[0.00026892815,0.0001691634,0.7456118,0.00012449118,0.000524413,0.001678709,0.0015540762,0.058747943,0.003936768,0.12913774,0.0020713855,0.056174677],"study_design_scores_gemma":[0.000031969314,0.00013759741,0.5681782,0.000070658454,0.00017238792,0.0009487271,0.0009495526,0.2707565,0.0011731617,0.15444583,0.0030705666,0.00006489564],"about_ca_topic_score_codex":0.0023289332,"about_ca_topic_score_gemma":0.002107659,"teacher_disagreement_score":0.0028928088,"about_ca_system_score_codex":0.0005415303,"about_ca_system_score_gemma":0.00036013036,"threshold_uncertainty_score":0.009617686},"labels":[],"label_agreement":null},{"id":"W3124757778","doi":"10.1080/1351847x.2014.917119","title":"Trade size, high-frequency trading, and colocation around the world","year":2014,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"York University; National Science Council; NYSE Euronext","keywords":"High-frequency trading; Proxy (statistics); Stock (firearms); Market microstructure; China; Industrial organization; Business; Algorithmic trading; Econometrics; Computer science; Financial economics; Economics; Finance; Order (exchange); Engineering; Geography","score_opus":0.021303146682425052,"score_gpt":0.19637931921425955,"score_spread":0.1750761725318345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124757778","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":[0.99805033,0.00017861037,0.000110008965,0.00007079889,0.0000041025514,0.0000029436246,0.0002086218,0.0000047915905,0.0013699385],"genre_scores_gemma":[0.9994106,0.00007104787,0.000063235166,0.00000834185,0.000012826364,0.0000014588743,0.00022564954,0.0000019116649,0.00020479658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977976,0.00004602239,0.000023585653,0.000046750705,0.000055310782,0.000048538503],"domain_scores_gemma":[0.98888284,0.0020585363,0.0075141964,0.00040953505,0.0003875991,0.00074738846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042833458,0.00016701387,0.00018270878,0.0013773141,0.00027072788,0.0012340936,0.00024504613,0.00026216783,0.0037243953],"category_scores_gemma":[0.004273407,0.00008416883,0.00022100785,0.002175643,0.00063604355,0.0012157097,0.0006613075,0.00037293942,0.000305314],"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":[0.00012011845,0.000041945754,0.9907436,0.0000199114,0.00009216303,0.00018151308,0.000331534,0.00077830517,0.00045013285,0.0005754123,0.00029409004,0.006371235],"study_design_scores_gemma":[0.0000044306134,0.000043128388,0.99762684,0.0000062650765,0.000018088671,0.00010622354,0.0004169063,0.0008148602,0.000163424,0.00034365704,0.000449538,0.000006549652],"about_ca_topic_score_codex":0.0035307507,"about_ca_topic_score_gemma":0.0067043905,"teacher_disagreement_score":0.0037243953,"about_ca_system_score_codex":0.0002991314,"about_ca_system_score_gemma":0.00013491581,"threshold_uncertainty_score":0.012459338},"labels":[],"label_agreement":null},{"id":"W3179195763","doi":"10.1080/1351847x.2021.1949368","title":"Exchange rate forecasting using economic models and technical trading rules","year":2021,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"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","funders":"","keywords":"Predictability; Pooling; Technical analysis; Random walk; Econometrics; Sample (material); Exchange rate; Aggregate (composite); Trading strategy; Foreign exchange; Economics; Computer science; Economic model; Financial economics; Macroeconomics; Statistics; Artificial intelligence; Mathematics; Monetary economics","score_opus":0.20754611850169574,"score_gpt":0.24327375277551772,"score_spread":0.03572763427382197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179195763","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":[0.8512248,0.0004606557,0.14090072,0.0005346279,0.00004486798,0.00009688009,0.00034451165,0.00032347458,0.0060695815],"genre_scores_gemma":[0.97545785,0.00021938737,0.023144893,0.000049263283,0.00004173212,0.0000449871,0.00046674954,0.00002015214,0.00055507146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725705,0.0014855774,0.00020152981,0.00042382767,0.00048310938,0.00014892592],"domain_scores_gemma":[0.9908572,0.004828441,0.0018219792,0.0016534715,0.00060038967,0.00023846187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008829259,0.0010852085,0.0014458783,0.002183886,0.0005105245,0.002954635,0.00087810063,0.0010363883,0.0010501792],"category_scores_gemma":[0.02358447,0.00076560234,0.0016731763,0.001713381,0.00071376987,0.0046373075,0.0021023923,0.0010510085,0.00031935459],"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":[0.0002546502,0.00010183011,0.040492486,0.000053982938,0.00048807185,0.00015626084,0.00019248182,0.89890146,0.000817439,0.011518837,0.00045333485,0.046569157],"study_design_scores_gemma":[0.000028205926,0.00012508924,0.010770484,0.000023233823,0.00007657141,0.000039613456,0.00007414678,0.96455497,0.0006729344,0.023153372,0.00044401584,0.000037329028],"about_ca_topic_score_codex":0.0037452318,"about_ca_topic_score_gemma":0.0034448283,"teacher_disagreement_score":0.008829259,"about_ca_system_score_codex":0.000623271,"about_ca_system_score_gemma":0.0008395235,"threshold_uncertainty_score":0.04669416},"labels":[],"label_agreement":null},{"id":"W3189886232","doi":"10.1080/1351847x.2021.1958244","title":"Measuring the systemic risk in indirect financial networks","year":2021,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":26,"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":"National Natural Science Foundation of China","keywords":"Systemic risk; Deleveraging; Centrality; Financial networks; Financial contagion; Asset (computer security); Vulnerability (computing); Business; Economics; Risk analysis (engineering); Financial market; Financial crisis; Computer science; Finance; Computer security","score_opus":0.02521227738150618,"score_gpt":0.19214408604487038,"score_spread":0.1669318086633642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189886232","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":[0.58098733,0.00055958075,0.40965232,0.0003690698,0.000028639317,0.000110110035,0.0004022658,0.00012974071,0.0077608973],"genre_scores_gemma":[0.9835677,0.00016767929,0.015573359,0.00001752291,0.000022157628,0.000050651353,0.000119536286,0.0000073773963,0.00047409715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986077,0.00063870696,0.00006758063,0.0003031618,0.00030510826,0.000077717355],"domain_scores_gemma":[0.9906012,0.004947642,0.0027951205,0.000747071,0.0006119179,0.00029696428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016146208,0.000719146,0.00040957116,0.0024101394,0.00039735305,0.0014320109,0.00081057654,0.0007323491,0.0016855651],"category_scores_gemma":[0.01295664,0.00028799733,0.00036821753,0.0016353646,0.0010196281,0.0036132536,0.0018615872,0.0006461713,0.0001448447],"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":[0.00029066377,0.00024937562,0.31103957,0.00036838566,0.0006094442,0.0006017118,0.0015134076,0.3879563,0.007177314,0.16930194,0.0012325349,0.11965943],"study_design_scores_gemma":[0.000022350563,0.00025188836,0.089713395,0.00012665863,0.00024555315,0.0005667499,0.00077300664,0.756185,0.0031978693,0.14574271,0.0030955523,0.00007935427],"about_ca_topic_score_codex":0.0011575216,"about_ca_topic_score_gemma":0.001359386,"teacher_disagreement_score":0.0024101394,"about_ca_system_score_codex":0.0009076469,"about_ca_system_score_gemma":0.0003517604,"threshold_uncertainty_score":0.008539021},"labels":[],"label_agreement":null},{"id":"W4247443612","doi":"10.1080/1351847x.2011.579743","title":"Harmonized regulatory standards, international distribution of investment funds and the recent financial crisis","year":2011,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Banking stability, regulation, efficiency","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":"York University","funders":"","keywords":"Investment (military); Finance; Equity (law); Financial crisis; Distribution (mathematics); Business; Investment fund; Accounting; Economics; Political science; Law","score_opus":0.02888657465122491,"score_gpt":0.21534880605197868,"score_spread":0.18646223140075377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247443612","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":[0.90854776,0.0050122393,0.007552404,0.009117071,0.000096220254,0.000041678213,0.00033288417,0.000073692296,0.06922603],"genre_scores_gemma":[0.99709046,0.0005935838,0.0005424618,0.0003628375,0.000051235136,0.0000134389,0.00008926632,0.000013469566,0.001243191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99726427,0.00077703496,0.000290631,0.00037842727,0.0007923319,0.0004972914],"domain_scores_gemma":[0.98095715,0.004149185,0.012003472,0.0008073939,0.0016235131,0.00045931083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004095232,0.00015480704,0.00042643177,0.0013487918,0.0006770542,0.0056314347,0.00053840474,0.0014951697,0.0022202844],"category_scores_gemma":[0.022400957,0.00015335929,0.00028082557,0.002249683,0.0023226442,0.0029300526,0.0016645485,0.0015427029,0.00020901677],"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":[0.000646456,0.00038703906,0.30884546,0.0002711788,0.00016058801,0.0007772534,0.0037195105,0.025259204,0.0016747377,0.52833736,0.008586653,0.12133458],"study_design_scores_gemma":[0.00018973356,0.00037208883,0.6987595,0.0005256914,0.0001822097,0.0008930968,0.00915577,0.017099956,0.004303589,0.15613672,0.11223536,0.00014618624],"about_ca_topic_score_codex":0.0060093803,"about_ca_topic_score_gemma":0.0041101617,"teacher_disagreement_score":0.0060093803,"about_ca_system_score_codex":0.0025616528,"about_ca_system_score_gemma":0.001382453,"threshold_uncertainty_score":0.021657884},"labels":[],"label_agreement":null},{"id":"W4386698790","doi":"10.1080/1351847x.2023.2256799","title":"Indigenous corporate responsibility and financial performance","year":2023,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":4,"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 Saskatchewan","funders":"","keywords":"Indigenous; Corporate social responsibility; Reputation; Liberian dollar; Business; Asset (computer security); Accounting; Finance; Political science; Public relations; Law","score_opus":0.038685706620074235,"score_gpt":0.23345316271744976,"score_spread":0.19476745609737553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386698790","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":[0.93123865,0.0007627439,0.00068011903,0.0026573346,0.000026781865,0.000016295022,0.000115878574,0.000016723787,0.06448546],"genre_scores_gemma":[0.99900216,0.00013628523,0.00011757163,0.00002613524,0.0000157055,0.0000023649634,0.000020302345,0.0000017498702,0.0006777566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966936,0.0011626169,0.00014201364,0.00018066073,0.0012544503,0.00056663906],"domain_scores_gemma":[0.97265303,0.00671857,0.011788005,0.0009323573,0.0047904854,0.0031176745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043251175,0.00017638384,0.00018887813,0.0021966435,0.0009902946,0.0028350104,0.00041120788,0.0003272687,0.003505044],"category_scores_gemma":[0.021929136,0.000056136178,0.00016754998,0.0021674207,0.0030038387,0.0020155406,0.0026421843,0.00078156457,0.00021818007],"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":[0.00006277501,0.00025293892,0.87571234,0.00014178456,0.000121653655,0.00025911676,0.010569711,0.0016966476,0.0003448848,0.030838126,0.0016901379,0.07830995],"study_design_scores_gemma":[0.0000031570607,0.00011392234,0.9703317,0.00013112018,0.000022774278,0.00014218377,0.011212973,0.001132146,0.00031225933,0.008847939,0.0077117058,0.000038157348],"about_ca_topic_score_codex":0.016914057,"about_ca_topic_score_gemma":0.01771229,"teacher_disagreement_score":0.016914057,"about_ca_system_score_codex":0.0023594755,"about_ca_system_score_gemma":0.0021455807,"threshold_uncertainty_score":0.033631265},"labels":[],"label_agreement":null},{"id":"W4391427017","doi":"10.1080/1351847x.2024.2308634","title":"Institutionalization and prudence attitude in an imperfect competitive market","year":2024,"lang":"en","type":"article","venue":"European Journal of Finance","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":false,"ca_institutions":"University of Regina","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Prudence; Institutionalisation; Information asymmetry; Institution; Economics; Perfect information; Imperfect; Nonmarket forces; Market power; Transaction cost; Microeconomics; Business; Financial economics; Factor market","score_opus":0.025183887467783734,"score_gpt":0.23001411428856047,"score_spread":0.20483022682077673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391427017","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":[0.96019286,0.000102989274,0.028460676,0.0008372047,0.000010673377,0.000042563533,0.00003514546,0.00005190799,0.0102660535],"genre_scores_gemma":[0.99894506,0.00001981518,0.00072036096,0.00002426207,0.0000069632815,0.0000050083945,0.0000052316464,0.0000017435768,0.0002715973],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99814904,0.00090015546,0.000107993576,0.00024482593,0.0002347007,0.00036332407],"domain_scores_gemma":[0.97220695,0.011697146,0.011159765,0.0021368447,0.001102997,0.0016963149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048574684,0.00028144152,0.0006987576,0.00057825155,0.0006474004,0.002720583,0.0006561574,0.0013326552,0.0033900426],"category_scores_gemma":[0.019865096,0.00031716662,0.00048813972,0.00036585517,0.0030231618,0.003430618,0.0013224839,0.0011202706,0.00020860285],"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":[0.0014073588,0.0012580797,0.076595366,0.00025283475,0.0004452379,0.0016053593,0.0013979868,0.17595826,0.0108856065,0.69248724,0.0016685693,0.036038075],"study_design_scores_gemma":[0.00033397376,0.0006584972,0.044863474,0.000047356443,0.00014777867,0.00032247495,0.0008487503,0.42984203,0.0024457322,0.5184499,0.0019379448,0.000102035534],"about_ca_topic_score_codex":0.001192631,"about_ca_topic_score_gemma":0.00080023677,"teacher_disagreement_score":0.0048574684,"about_ca_system_score_codex":0.0012063151,"about_ca_system_score_gemma":0.0008889727,"threshold_uncertainty_score":0.025689065},"labels":[],"label_agreement":null},{"id":"W4404075328","doi":"10.1080/1351847x.2024.2419568","title":"Does it pay to be Green? The impact of equator principles on project loans","year":2024,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Sustainable Finance and Green Bonds","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université Laval","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equator; Economics; Natural resource economics; Geology","score_opus":0.05881845426315139,"score_gpt":0.2766475866941543,"score_spread":0.2178291324310029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404075328","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":[0.93526137,0.0009941994,0.0011275795,0.014251656,0.000060419214,0.00002166399,0.000094828945,0.00001581013,0.048172496],"genre_scores_gemma":[0.99800044,0.0002526327,0.000075540134,0.0003956978,0.000045032495,0.000004668996,0.000013262062,0.000003832492,0.0012088323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974771,0.0009922865,0.00009222163,0.00018304674,0.00061591296,0.0006393353],"domain_scores_gemma":[0.97480154,0.012227332,0.007004852,0.0008252843,0.0017998699,0.0033410024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003943897,0.00011093092,0.0004272191,0.00061590434,0.001115808,0.0035033838,0.0005199274,0.0017247465,0.009594632],"category_scores_gemma":[0.029707076,0.00013289246,0.0002688535,0.0009142944,0.002543838,0.00227066,0.0016986189,0.002298278,0.0005578559],"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":[0.00183608,0.0014788993,0.5874936,0.0002562652,0.0002996688,0.0013217602,0.0054871216,0.0067770476,0.0026469652,0.21540323,0.017803598,0.15919581],"study_design_scores_gemma":[0.00014258511,0.0004752474,0.8437334,0.0003069016,0.00019024813,0.00054893846,0.01185772,0.0050254664,0.0012256207,0.10621337,0.030210756,0.00006980753],"about_ca_topic_score_codex":0.0062974077,"about_ca_topic_score_gemma":0.006973368,"teacher_disagreement_score":0.009594632,"about_ca_system_score_codex":0.0014330265,"about_ca_system_score_gemma":0.0015617507,"threshold_uncertainty_score":0.03209722},"labels":[],"label_agreement":null},{"id":"W4407040877","doi":"10.1080/1351847x.2024.2433021","title":"Fintech startups in Germany: firm failure, funding success, and innovation capacity","year":2025,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 European Research Council; Universität Bremen; Concordia University","keywords":"Business; Industrial organization","score_opus":0.023476191841083877,"score_gpt":0.22989539261913994,"score_spread":0.20641920077805606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407040877","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":[0.9889677,0.00047647077,0.0000988694,0.0001312663,0.0000072993103,0.0000105792715,0.008899817,0.00001304859,0.0013949557],"genre_scores_gemma":[0.9886001,0.00024721283,0.00007703998,0.000027422517,0.000012114814,0.000017482904,0.010092156,0.0000033343042,0.0009231296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913776,0.00008033136,0.0000924469,0.00016980009,0.00022141608,0.0002982689],"domain_scores_gemma":[0.992971,0.0013126741,0.0039946972,0.0002981867,0.00049285503,0.0009305951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010613909,0.0003105874,0.00031326295,0.0045680953,0.0004379719,0.0014002989,0.00039350372,0.000492791,0.0033840407],"category_scores_gemma":[0.003835095,0.00015312259,0.00026674403,0.004670608,0.00046137095,0.0006956699,0.0011075484,0.0003797386,0.0008738193],"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":[0.00008502567,0.000048237416,0.9839139,0.00006413913,0.000059905065,0.00021538374,0.00054760877,0.00062287017,0.00010648175,0.0004786269,0.0050337696,0.008824058],"study_design_scores_gemma":[0.000006777381,0.000029803165,0.9955379,0.000034017652,0.00002240557,0.00006696184,0.0005535802,0.0004225295,0.00016395713,0.00010500924,0.0030477664,0.00000941668],"about_ca_topic_score_codex":0.04218461,"about_ca_topic_score_gemma":0.04786106,"teacher_disagreement_score":0.04218461,"about_ca_system_score_codex":0.0013701264,"about_ca_system_score_gemma":0.0008167859,"threshold_uncertainty_score":0.08387816},"labels":[],"label_agreement":null},{"id":"W4407207063","doi":"10.1080/1351847x.2025.2461212","title":"Corporate sexual orientation equality and dividend payout","year":2025,"lang":"en","type":"article","venue":"European Journal of Finance","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Dalhousie University; Social Sciences and Humanities Research Council of Canada; Memorial University of Newfoundland; University of South Australia","keywords":"Dividend payout ratio; Dividend; Sexual orientation; Business; Dividend policy; Economics; Monetary economics; Accounting; Psychology; Finance; Social psychology","score_opus":0.0367176349426213,"score_gpt":0.23571719614703898,"score_spread":0.1989995612044177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407207063","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":[0.9929255,0.00028327978,0.00008930641,0.000407446,0.000009921666,0.0000052971745,0.00007791242,0.0000021725425,0.0061990935],"genre_scores_gemma":[0.99912363,0.00006701001,0.0000239936,0.000032695436,0.000010733478,0.0000016335326,0.00004922031,5.657917e-7,0.00069044466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993954,0.00018052927,0.000041792944,0.000058691825,0.0001372475,0.00018633911],"domain_scores_gemma":[0.98423344,0.0033984685,0.008809583,0.00064430037,0.0005691627,0.0023450651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011625539,0.00016298068,0.00020803182,0.0007876959,0.00058685313,0.0015718259,0.00031016575,0.0005150113,0.010004003],"category_scores_gemma":[0.0066682138,0.000069382026,0.00028041034,0.0006982011,0.00068468956,0.0006024184,0.00078598945,0.001019178,0.00056072173],"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":[0.000076868724,0.00023350892,0.9924178,0.0000081585285,0.000032479336,0.000050238817,0.00027344804,0.00005301704,0.00014410357,0.0010165235,0.00012502074,0.0055689076],"study_design_scores_gemma":[0.0000043914747,0.0000645945,0.9973642,0.000018274548,0.000020769563,0.000072706556,0.0007835066,0.00015180599,0.00022130781,0.0006829338,0.00061102014,0.0000045350594],"about_ca_topic_score_codex":0.005409047,"about_ca_topic_score_gemma":0.007126076,"teacher_disagreement_score":0.010004003,"about_ca_system_score_codex":0.0007011473,"about_ca_system_score_gemma":0.00042617047,"threshold_uncertainty_score":0.033466756},"labels":[],"label_agreement":null},{"id":"W4413298521","doi":"10.1080/1351847x.2025.2541776","title":"Does female bank leadership affect firm credit? <sup>+</sup>","year":2025,"lang":"en","type":"article","venue":"European Journal of Finance","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Affect (linguistics); Business; Financial system; Monetary economics; Finance; Economics; Psychology","score_opus":0.03286641592868232,"score_gpt":0.22022970124577793,"score_spread":0.18736328531709562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413298521","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":[0.99106795,0.00065286265,0.00012206768,0.0016348853,0.000023607277,0.000005802169,0.001011818,0.000005007715,0.005476075],"genre_scores_gemma":[0.9984289,0.000159487,0.00003197878,0.00011248204,0.000032614233,0.000004032807,0.00033571394,0.0000015770213,0.0008932726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960345,0.00014430752,0.000023382854,0.00005667857,0.00006366347,0.000108638436],"domain_scores_gemma":[0.9908668,0.0038429727,0.003529215,0.0002270514,0.00049565,0.0010382979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009964562,0.00011274351,0.0002231043,0.0005004718,0.00021931948,0.0009483959,0.00020074197,0.00034957455,0.010741474],"category_scores_gemma":[0.0066372794,0.000066607754,0.00014090445,0.00077889574,0.00034877728,0.00047071668,0.00038058992,0.00033322859,0.0013473602],"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":[0.00007429106,0.000026615173,0.9902621,0.000011157725,0.000016219816,0.000070800255,0.00019334083,0.00007645061,0.000040687148,0.00022481357,0.0014248985,0.0075786863],"study_design_scores_gemma":[0.000004726468,0.000033266195,0.9976078,0.000015092709,0.000007965596,0.000046557852,0.0005697812,0.00013152708,0.000045485063,0.00015568589,0.0013798183,0.0000022077804],"about_ca_topic_score_codex":0.0049440153,"about_ca_topic_score_gemma":0.0068553844,"teacher_disagreement_score":0.010741474,"about_ca_system_score_codex":0.0002933292,"about_ca_system_score_gemma":0.00025484455,"threshold_uncertainty_score":0.035933793},"labels":[],"label_agreement":null}]}