{"meta":{"query_hash":"9e39e8a67c09","filters":{"venue":"International Advances in Economic Research"},"cohort_total":48,"direct_labels_cover":1,"predictions_cover":48,"exported":48,"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/9e39e8a67c09","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Advances+in+Economic+Research"},"results":[{"id":"W1970529151","doi":"10.1007/s11294-008-9155-x","title":"The Spanish Tomato Export Sector of the Almeria Region: An Econometric Approach","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Almeria; Order (exchange); Principal (computer security); European union; Econometric model; Economics; Export performance; Economy; Business; International trade; Econometrics; Finance; Computer science; Humanities","score_opus":0.1094571739109587,"score_gpt":0.3197714743697854,"score_spread":0.2103143004588267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970529151","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":[0.9875668,0.0014090523,0.0028543314,0.0006893777,0.000022796277,0.000032654065,0.0015700845,0.000037626993,0.0058170934],"genre_scores_gemma":[0.99167246,0.0010256381,0.0010748642,0.00007667304,0.00006083283,0.000037989477,0.0022819592,0.000019265794,0.0037502388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995109,0.00022636687,0.000019699108,0.00008667104,0.000039310413,0.00011704915],"domain_scores_gemma":[0.99835443,0.001174203,0.00015852647,0.000049872004,0.00018290833,0.000080111146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012608255,0.000587274,0.0007109061,0.0019570943,0.00033222907,0.0018894387,0.0007417494,0.0008619229,0.0038152006],"category_scores_gemma":[0.0025272088,0.00029519512,0.0011055577,0.002533102,0.00040272877,0.0007194764,0.00077193254,0.00062987895,0.00043298074],"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":[0.0009566049,0.0008840145,0.6262063,0.00039139605,0.0012103003,0.0022781766,0.0010928471,0.2913576,0.0026331926,0.02421974,0.008137111,0.040632702],"study_design_scores_gemma":[0.0002473242,0.00033404818,0.57889336,0.00023766432,0.0009771191,0.0002755422,0.008066682,0.38715607,0.0014139736,0.008065335,0.014233766,0.0000991696],"about_ca_topic_score_codex":0.15303895,"about_ca_topic_score_gemma":0.077231295,"teacher_disagreement_score":0.15303895,"about_ca_system_score_codex":0.002230891,"about_ca_system_score_gemma":0.0013364487,"threshold_uncertainty_score":0.3042963},"labels":[],"label_agreement":null},{"id":"W1971484200","doi":"10.1007/bf02296025","title":"Foreign direct investment and capital formation","year":2001,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Foreign direct investment; Economics; Monetary economics; Capital (architecture); Capital investment; Capital formation; Foreign capital; Investment (military); International economics; Financial capital; Macroeconomics; Market economy; Finance; Political science; Human capital; Geography","score_opus":0.04214246912828267,"score_gpt":0.3365508799383455,"score_spread":0.2944084108100628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971484200","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":[0.4326411,0.09619839,0.008685907,0.04283709,0.0010617543,0.000054697262,0.0018381578,0.00015079614,0.41653216],"genre_scores_gemma":[0.9038533,0.031015344,0.0006287485,0.00041570302,0.00039771132,0.000017588289,0.00038932878,0.000017386845,0.06326491],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9997421,0.00007728413,0.000016615553,0.000042332096,0.000039028106,0.00008277053],"domain_scores_gemma":[0.9978275,0.0009800224,0.00070226914,0.00007726689,0.00021502114,0.00019782207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007086796,0.00059721555,0.00057949737,0.0012473601,0.000618248,0.0048534847,0.00031433126,0.0015791638,0.015142088],"category_scores_gemma":[0.0033924358,0.0002541014,0.00034134238,0.002582165,0.0015482538,0.0033325076,0.000903709,0.0018390819,0.0013983173],"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":[0.00036381197,0.00021050079,0.034754228,0.00025310492,0.00012522434,0.00080590416,0.0007415124,0.013074388,0.00031410175,0.8930771,0.012371718,0.04390848],"study_design_scores_gemma":[0.00011291258,0.0001617284,0.052073687,0.0005059242,0.00020031448,0.000766618,0.0022304612,0.00789089,0.00084610085,0.8392945,0.095863365,0.00005364552],"about_ca_topic_score_codex":0.014563706,"about_ca_topic_score_gemma":0.01608636,"teacher_disagreement_score":0.015142088,"about_ca_system_score_codex":0.0028065317,"about_ca_system_score_gemma":0.0020437147,"threshold_uncertainty_score":0.050655305},"labels":[],"label_agreement":null},{"id":"W1981954334","doi":"10.1007/s11294-011-9335-y","title":"Shareholder Taxation and Valuation: The Case of Canadian REITs","year":2011,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Valuation (finance); Real estate investment trust; Shareholder; Economics; Financial economics; Business; Finance; Real estate; Corporate governance","score_opus":0.28254898372102655,"score_gpt":0.4166350393314305,"score_spread":0.13408605561040393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981954334","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":[0.6909101,0.005551941,0.0019564845,0.010122283,0.00007906303,0.000060757648,0.00040069316,0.00004293551,0.29087582],"genre_scores_gemma":[0.9771105,0.001266422,0.0003730193,0.00014447242,0.000022625554,0.00000576059,0.00005229491,0.000008317128,0.021016566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99871457,0.0001637714,0.00002996223,0.00008485061,0.00035559066,0.0006512075],"domain_scores_gemma":[0.99725074,0.0010524665,0.00026581608,0.00018081983,0.000971186,0.00027899636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001683433,0.00045166482,0.00071488967,0.0017545159,0.006938928,0.00990509,0.0017128771,0.0033809205,0.0055355034],"category_scores_gemma":[0.007966727,0.00031989178,0.00076355814,0.0031594501,0.0037436916,0.0029246998,0.001239884,0.002729671,0.00023617184],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028400077,0.00009588423,0.019106254,0.00006575367,0.000056915644,0.0023590105,0.0031851958,0.02303745,0.00046126547,0.91906506,0.01074544,0.021537853],"study_design_scores_gemma":[0.00031995476,0.00011627425,0.10421961,0.00061484857,0.0005391887,0.0016221263,0.034488082,0.14567709,0.002598691,0.48957756,0.2196237,0.0006029673],"about_ca_topic_score_codex":0.976154,"about_ca_topic_score_gemma":0.97577363,"teacher_disagreement_score":0.05872152,"about_ca_system_score_codex":0.05872152,"about_ca_system_score_gemma":0.026766736,"threshold_uncertainty_score":0.42605644},"labels":[],"label_agreement":null},{"id":"W1982829228","doi":"10.1007/s11294-010-9282-z","title":"Alternative Fat Taxes to Control Obesity","year":2010,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Obesity; Control (management); Public economics; Economics; Medicine; Endocrinology","score_opus":0.03442284505424513,"score_gpt":0.4167254465181363,"score_spread":0.38230260146389117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982829228","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":[0.38518107,0.016029332,0.25212458,0.026555132,0.003113393,0.000111310495,0.0004371154,0.0005232961,0.3159248],"genre_scores_gemma":[0.9675505,0.0014746003,0.007297723,0.00077584607,0.00033777105,0.000025591655,0.000037169437,0.00004167065,0.022459153],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996995,0.00012406813,0.000010387612,0.00004035908,0.00008153154,0.00004425819],"domain_scores_gemma":[0.99911493,0.0005195397,0.00009104533,0.00013426159,0.000074975964,0.00006526043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007513883,0.00052107376,0.0005148236,0.00057102065,0.0003274675,0.001299034,0.00073044,0.00092254224,0.011079357],"category_scores_gemma":[0.0027084965,0.00026142053,0.00041032306,0.0006183161,0.0012828796,0.0016795404,0.0007222625,0.0017186612,0.0004083065],"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":[0.001085842,0.00062501803,0.0007342369,0.00022064635,0.0001458599,0.00011552099,0.00014220116,0.047577005,0.0018622616,0.84379584,0.007040213,0.09665539],"study_design_scores_gemma":[0.00043346634,0.00013900155,0.0015964786,0.00008077504,0.00007795659,0.00007073526,0.0001210362,0.0650037,0.00077030883,0.91334194,0.018341282,0.00002327386],"about_ca_topic_score_codex":0.0009715748,"about_ca_topic_score_gemma":0.0017030273,"teacher_disagreement_score":0.011079357,"about_ca_system_score_codex":0.00095657643,"about_ca_system_score_gemma":0.00063546613,"threshold_uncertainty_score":0.037064195},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W1987155871","doi":"10.1007/s11294-012-9344-5","title":"The Economic Impact of International Students in Atlantic Canada","year":2012,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Higher Education Governance and Development","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Economics; Economic impact analysis; Political science; Natural resource economics; Geography","score_opus":0.03470950032325989,"score_gpt":0.48555842976213176,"score_spread":0.4508489294388719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987155871","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":[0.9728042,0.00047062704,0.00003451487,0.005114875,0.000056190107,0.000014395132,0.0011521203,0.000007721187,0.020345433],"genre_scores_gemma":[0.9855054,0.00052116916,0.000024925126,0.00028999773,0.000016191147,0.000004037412,0.00047931288,0.000007732512,0.01315124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984353,0.00008609216,0.000026216765,0.00005620393,0.00033155087,0.0010645689],"domain_scores_gemma":[0.99466586,0.00018212639,0.00033647165,0.00005221473,0.0013537803,0.0034095221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007188329,0.0002410153,0.00036933323,0.0014723592,0.0056148213,0.0055179023,0.0012574596,0.0010603751,0.008445891],"category_scores_gemma":[0.0028834792,0.00018060517,0.00047306967,0.004078314,0.0016350626,0.00078467344,0.0025598516,0.0022890705,0.0005352356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000496562,0.00039573142,0.91970015,0.00006585888,0.000091640446,0.0007115826,0.012631599,0.0012002415,0.00035785808,0.014814504,0.01917731,0.030357009],"study_design_scores_gemma":[0.000025127221,0.00005250069,0.9214688,0.00009259181,0.000032797307,0.0000668115,0.05043288,0.00079049205,0.00021121914,0.0005532668,0.02622686,0.000046522262],"about_ca_topic_score_codex":0.9954928,"about_ca_topic_score_gemma":0.9983352,"teacher_disagreement_score":0.06344661,"about_ca_system_score_codex":0.06344661,"about_ca_system_score_gemma":0.087693535,"threshold_uncertainty_score":0.46033955},"labels":[],"label_agreement":null},{"id":"W1996240780","doi":"10.1007/s11294-008-9134-2","title":"Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université du Québec à Montréal; Université du Québec en Outaouais; University of Ottawa","funders":"","keywords":"Ultra high frequency; Autoregressive conditional heteroskedasticity; Autoregressive model; Volatility (finance); Heteroscedasticity; Econometrics; Realized variance; Computer science; Economics; Telecommunications","score_opus":0.3734523307260167,"score_gpt":0.39994115677842534,"score_spread":0.026488826052408654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996240780","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":[0.78094304,0.0015331655,0.21449667,0.0008313799,0.00025564895,0.000025779302,0.0002649632,0.00038003156,0.0012693858],"genre_scores_gemma":[0.98838764,0.00033884912,0.010609919,0.000045371806,0.00008338597,0.000006043225,0.00019053502,0.000024864094,0.00031338897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994429,0.0002323211,0.00003070576,0.00011704599,0.000101923455,0.00007513573],"domain_scores_gemma":[0.9965083,0.002633853,0.00024163,0.0003152811,0.00019660761,0.000104323655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034326871,0.0005648806,0.0010904715,0.0007469723,0.0002974107,0.0013961006,0.0008379299,0.0017513043,0.0007181167],"category_scores_gemma":[0.012049136,0.00036014876,0.00078389584,0.00080701633,0.00047772843,0.0025748461,0.0005245286,0.0011859688,0.00016675387],"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":[0.00034086037,0.000053101223,0.0069709443,0.000044535947,0.0001462315,0.00008219068,0.000041570936,0.9469515,0.001469495,0.0046580094,0.0005694583,0.038672008],"study_design_scores_gemma":[0.0000055645514,0.000014461124,0.0006820224,0.0000016003243,0.0000062688277,0.000008372354,0.0000051153606,0.9975942,0.00015360286,0.0014972225,0.000027216527,0.0000043247587],"about_ca_topic_score_codex":0.004458663,"about_ca_topic_score_gemma":0.0020982858,"teacher_disagreement_score":0.004458663,"about_ca_system_score_codex":0.00051516056,"about_ca_system_score_gemma":0.0004023216,"threshold_uncertainty_score":0.018154025},"labels":[],"label_agreement":null},{"id":"W1999448756","doi":"10.1007/s11294-006-9011-9","title":"Commodity Price Instability and Debt-linking by Developing Countries","year":2006,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Monetary economics; Commodity; Debt; Debt service coverage ratio; External debt; Developing country; Consumption (sociology); International economics; Finance","score_opus":0.04064563580404997,"score_gpt":0.3368030186753804,"score_spread":0.2961573828713304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999448756","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":[0.99349,0.00080110034,0.00024409761,0.00069338013,0.000007732581,0.0000048985057,0.00026318245,0.0000055039054,0.0044901483],"genre_scores_gemma":[0.9990582,0.00034363408,0.000034859462,0.000025648096,0.000011278368,0.0000012213253,0.000111880865,0.000001829835,0.00041152566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998079,0.00005027224,0.000029529523,0.000030927436,0.00002589704,0.000055528082],"domain_scores_gemma":[0.99347174,0.0013699444,0.004239107,0.00021516116,0.00031250282,0.00039155915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007141417,0.00011185897,0.00024164299,0.0010528539,0.0006375834,0.0028597235,0.00023944635,0.0005957201,0.0040369425],"category_scores_gemma":[0.0073583825,0.00014808057,0.00016694303,0.002475059,0.00067672745,0.0014934046,0.001059432,0.0009499771,0.00019733644],"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":[0.00034047358,0.00006523011,0.9710423,0.000032662607,0.000095986914,0.00052139,0.0011867427,0.002057794,0.0005018867,0.0125102885,0.0010028648,0.010642364],"study_design_scores_gemma":[0.000030250894,0.00007412802,0.9684609,0.000059174174,0.00011933942,0.00057744095,0.0042974222,0.0038937419,0.0010276518,0.014370455,0.0070654238,0.000024113675],"about_ca_topic_score_codex":0.00935433,"about_ca_topic_score_gemma":0.0101142,"teacher_disagreement_score":0.00935433,"about_ca_system_score_codex":0.00084431726,"about_ca_system_score_gemma":0.00054082647,"threshold_uncertainty_score":0.018599749},"labels":[],"label_agreement":null},{"id":"W2005034742","doi":"10.1007/s11294-008-9151-1","title":"Dynamics in Competitive Channels of Distribution: Comparing Spain and Canada","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Merger and Competition Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Distribution (mathematics); Economics; Economic geography; Dynamics (music); Regional science; Geography; Econometrics; Mathematics; Sociology","score_opus":0.04923246226893242,"score_gpt":0.311966464534954,"score_spread":0.2627340022660216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005034742","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":[0.9308615,0.0025652894,0.0006033615,0.004301023,0.000037856695,0.000030365638,0.0018674645,0.000058721,0.05967443],"genre_scores_gemma":[0.9899678,0.00067837816,0.00018897223,0.00010962437,0.0000071605855,0.0000045727597,0.0004845802,0.000016593604,0.008542279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986216,0.000086300264,0.000030976025,0.00012412218,0.0003092707,0.0008277784],"domain_scores_gemma":[0.99572563,0.0006446295,0.00039057704,0.000115316194,0.0023336103,0.00079022185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010325571,0.0002491078,0.0005929171,0.0025780408,0.002530962,0.007532148,0.0012138936,0.0012188358,0.00774162],"category_scores_gemma":[0.006267636,0.00024552137,0.000512646,0.006607764,0.0018853176,0.0016818263,0.0021566644,0.0010502707,0.0005435841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031135946,0.00037619605,0.6057848,0.00025940215,0.0002546487,0.0016334588,0.00947621,0.027881991,0.0015519309,0.20039132,0.039641295,0.10963526],"study_design_scores_gemma":[0.0003346195,0.00010178374,0.836556,0.00028720993,0.00020779847,0.0002806454,0.045795687,0.020645587,0.0011759804,0.013483403,0.08091892,0.00021234644],"about_ca_topic_score_codex":0.9865667,"about_ca_topic_score_gemma":0.9882577,"teacher_disagreement_score":0.050712824,"about_ca_system_score_codex":0.050712824,"about_ca_system_score_gemma":0.04171543,"threshold_uncertainty_score":0.367949},"labels":[],"label_agreement":null},{"id":"W2006993523","doi":"10.1007/s11294-012-9371-2","title":"Effect of SEC’s Proposed Short-term Borrowing Disclosure Regulation on U.S. Stock Prices","year":2012,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Stock (firearms); Term (time); Monetary economics; Stock price; Financial system; Series (stratigraphy); Physics; Biology; Engineering","score_opus":0.022448328164488343,"score_gpt":0.3438901552531631,"score_spread":0.32144182708867475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006993523","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":[0.9666776,0.0005600623,0.00066973036,0.009455337,0.0005527524,0.000083779516,0.00096258236,0.00013891986,0.020899089],"genre_scores_gemma":[0.99161196,0.00019572725,0.00040336265,0.0035162498,0.00016342428,0.000037690137,0.0004360671,0.000012781643,0.003622754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961777,0.0013877677,0.00045344967,0.0004176151,0.0009984818,0.0005650758],"domain_scores_gemma":[0.9493763,0.027561553,0.012725932,0.0026912843,0.00560398,0.0020410581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008425744,0.00033630597,0.0003940424,0.0006350638,0.0008573719,0.0037457764,0.0010338682,0.0031695354,0.0038180472],"category_scores_gemma":[0.025600566,0.00030888265,0.00089342863,0.0005116667,0.0013022182,0.0007549616,0.00095694786,0.0030942338,0.00065311],"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":[0.017364498,0.010599211,0.57057685,0.00040834895,0.0012219775,0.0018026138,0.0020664467,0.0353539,0.03269081,0.0825631,0.1315987,0.11375363],"study_design_scores_gemma":[0.001472889,0.003728628,0.90080106,0.00019516917,0.0010029385,0.00028071762,0.0013865837,0.029585857,0.02566378,0.008532533,0.027162826,0.00018703213],"about_ca_topic_score_codex":0.026757192,"about_ca_topic_score_gemma":0.03335418,"teacher_disagreement_score":0.026757192,"about_ca_system_score_codex":0.002750315,"about_ca_system_score_gemma":0.0040859347,"threshold_uncertainty_score":0.053202868},"labels":[],"label_agreement":null},{"id":"W2008559674","doi":"10.1007/s11294-006-6122-2","title":"Evaluating the Relative Efficacy of the Marketing Function in the Construction Complex of Ukraine","year":2006,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Variety (cybernetics); Order (exchange); Economics; Marketing; Function (biology); Business; Marketing mix; Industrial organization; Finance; Computer science","score_opus":0.1020079000740909,"score_gpt":0.4344532578602394,"score_spread":0.33244535778614853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008559674","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":[0.9959026,0.00005236079,0.00029168205,0.000031056898,0.0000012547983,0.000009194816,0.0000142506515,0.000005459622,0.0036920821],"genre_scores_gemma":[0.9991848,0.000025806568,0.00020509602,0.0000036637744,0.0000013494055,0.000004536869,0.000019152882,0.0000032299843,0.00055230316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977598,0.0011107033,0.00009176815,0.00018428179,0.00051222986,0.00034104782],"domain_scores_gemma":[0.9887183,0.007164187,0.0011368722,0.0007347498,0.0016200251,0.0006258388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004361123,0.0004289199,0.00048170547,0.0025824967,0.0013161316,0.0032157628,0.0008338967,0.00094714784,0.0037192802],"category_scores_gemma":[0.013001354,0.00019997379,0.00036193078,0.0010037042,0.0020847677,0.001733698,0.0019759876,0.00034158508,0.0005602089],"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":[0.006277474,0.0010427121,0.70649356,0.00046038587,0.0002788701,0.00086393923,0.011969509,0.045926765,0.042145807,0.034915235,0.0005267046,0.14909898],"study_design_scores_gemma":[0.000044380587,0.002229383,0.925392,0.00009084958,0.00023386872,0.00019483487,0.013745064,0.03439546,0.016134534,0.002409089,0.0050936854,0.00003676078],"about_ca_topic_score_codex":0.017260643,"about_ca_topic_score_gemma":0.015619269,"teacher_disagreement_score":0.017260643,"about_ca_system_score_codex":0.0039338637,"about_ca_system_score_gemma":0.0021749134,"threshold_uncertainty_score":0.034320354},"labels":[],"label_agreement":null},{"id":"W2021075680","doi":"10.1007/bf02295409","title":"Rates of return to education and occupation for the U.S. and Canada","year":2001,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Rate of return; Demographic economics; Finance","score_opus":0.05281812245778631,"score_gpt":0.38548660234153465,"score_spread":0.3326684798837483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021075680","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":[0.8952936,0.0032098494,0.00030474408,0.0028764796,0.00006555193,0.00004877663,0.082203455,0.0001300689,0.01586751],"genre_scores_gemma":[0.9454909,0.0020495816,0.0002813163,0.00022135564,0.000022674274,0.000021698741,0.03017992,0.00003939528,0.021693178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992298,0.000029105735,0.0000352298,0.000077439545,0.00024083763,0.000387555],"domain_scores_gemma":[0.9956457,0.00027481111,0.0006504118,0.000103036975,0.0020965147,0.0012294176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061813137,0.00022864745,0.00033936923,0.003326482,0.0015000041,0.0016269246,0.00093398767,0.0006258857,0.0070365933],"category_scores_gemma":[0.0037280011,0.00019199541,0.0006835711,0.0055406294,0.00050703017,0.0005610772,0.0009133479,0.0013644678,0.00068836234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025137846,0.000046803627,0.9280113,0.00007015646,0.000115752184,0.000115509145,0.0010497583,0.0018887866,0.00016756661,0.006402727,0.03731592,0.02456437],"study_design_scores_gemma":[0.000008946323,0.000010818799,0.98876894,0.00003274936,0.000021741505,0.00006205954,0.0010508884,0.0010651678,0.000106340216,0.00035523187,0.008493462,0.000023508665],"about_ca_topic_score_codex":0.99602497,"about_ca_topic_score_gemma":0.99745315,"teacher_disagreement_score":0.020427007,"about_ca_system_score_codex":0.020427007,"about_ca_system_score_gemma":0.025588,"threshold_uncertainty_score":0.14820898},"labels":[],"label_agreement":null},{"id":"W2026513134","doi":"10.1007/bf02296022","title":"Labor union political contributions and campaign spending","year":2001,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Economics; Political economy; Political science; Law","score_opus":0.04863934813412388,"score_gpt":0.4765946456149444,"score_spread":0.4279552974808205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026513134","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":[0.88084143,0.0021226332,0.00046483014,0.00739921,0.00015543183,0.000026498396,0.0011022872,0.000030065929,0.107857704],"genre_scores_gemma":[0.98482436,0.0010221623,0.0000757971,0.00030735967,0.00017520796,0.000021568949,0.00050258613,0.00001548004,0.013055445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854964,0.00062517106,0.000042059328,0.000064314474,0.00017841074,0.0005404015],"domain_scores_gemma":[0.98215944,0.010162192,0.0034815837,0.0004969522,0.001168782,0.0025310756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019791082,0.00022066926,0.0003609417,0.0026333993,0.0012831087,0.0033611804,0.00031069937,0.001123732,0.023073426],"category_scores_gemma":[0.018912144,0.00022766965,0.00026821753,0.0040169763,0.0009459439,0.0010926677,0.0016650035,0.001747513,0.0016649376],"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":[0.0022511745,0.0016031322,0.76528454,0.00025647692,0.000377604,0.00035038358,0.0055593043,0.002760997,0.00081327953,0.09638764,0.02345074,0.10090478],"study_design_scores_gemma":[0.00010699929,0.00024057465,0.9265133,0.00020659833,0.00020098005,0.0001665678,0.010780056,0.0019657477,0.0004276842,0.021594238,0.03777441,0.000022723896],"about_ca_topic_score_codex":0.007690544,"about_ca_topic_score_gemma":0.021638665,"teacher_disagreement_score":0.023073426,"about_ca_system_score_codex":0.0013576781,"about_ca_system_score_gemma":0.0011129641,"threshold_uncertainty_score":0.07718831},"labels":[],"label_agreement":null},{"id":"W2034140727","doi":"10.1007/s11294-010-9283-y","title":"Long-term Nexus Between Openness, Income, and Environmental Quality","year":2010,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nexus (standard); Openness to experience; Economics; BRIC; Environmental quality; Welfare; Natural resource economics; Term (time); Agency (philosophy); International economics; Macroeconomics; Emerging markets; Ecology","score_opus":0.057240717870377246,"score_gpt":0.3591805402260761,"score_spread":0.30193982235569883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034140727","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":[0.99130964,0.0015658229,0.00074953487,0.0030150134,0.00004240609,0.000005534561,0.0005959158,0.00001380978,0.0027023533],"genre_scores_gemma":[0.9985304,0.00029103382,0.000064583925,0.000058608428,0.00002743631,0.000002242786,0.00022094705,0.0000027910298,0.0008019323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968827,0.00007081971,0.00003313282,0.00006124903,0.000045768615,0.00010074105],"domain_scores_gemma":[0.9904981,0.0041985046,0.0029299343,0.0003287709,0.0005906797,0.0014538453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012610729,0.000149128,0.000369772,0.00059431506,0.0004931166,0.001847732,0.00037918548,0.0012974729,0.004918266],"category_scores_gemma":[0.004526949,0.00021306502,0.0004581408,0.0009065195,0.0010769063,0.0018189402,0.0013378558,0.001801569,0.00042619772],"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":[0.0003079998,0.00027356346,0.9808292,0.000040872223,0.0002749216,0.0003732907,0.00023643197,0.004225505,0.00062121707,0.0060233227,0.0007485041,0.0060452917],"study_design_scores_gemma":[0.000015870739,0.000088618785,0.9780166,0.00003264891,0.00012318973,0.00012613468,0.0008129038,0.0043395762,0.0002530183,0.014953773,0.0012084708,0.000029291648],"about_ca_topic_score_codex":0.009182386,"about_ca_topic_score_gemma":0.016553525,"teacher_disagreement_score":0.009182386,"about_ca_system_score_codex":0.00085402164,"about_ca_system_score_gemma":0.00064672175,"threshold_uncertainty_score":0.018257916},"labels":[],"label_agreement":null},{"id":"W2037004385","doi":"10.1007/s11294-010-9278-8","title":"Did the Uruguay Round Agreement on Agriculture Affect Trade Flows? An Empirical Investigation for Meat Commodities","year":2010,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Lethbridge","funders":"","keywords":"Subsidy; International economics; Agriculture; Economics; International trade; Market access; Affect (linguistics); Agreement on Agriculture; Trade barrier; Business; Free trade; Market economy; Geography","score_opus":0.1670143207418538,"score_gpt":0.3883709065705633,"score_spread":0.22135658582870948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037004385","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":[0.9945834,0.0005946942,0.00014071907,0.0010510935,0.000046175726,0.000018857885,0.0004060863,0.00000810092,0.0031508983],"genre_scores_gemma":[0.9947083,0.00034703812,0.00008210213,0.00018114004,0.00005634677,0.00003094732,0.000648939,0.000013357683,0.0039318255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978364,0.0012248612,0.00009896943,0.00019987056,0.00013790982,0.00050203677],"domain_scores_gemma":[0.9813424,0.010308804,0.005059964,0.0005645441,0.0014952734,0.001228971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041531464,0.0005269357,0.0011018099,0.0009335704,0.0016216163,0.003404495,0.0008929605,0.0015876581,0.009125852],"category_scores_gemma":[0.012813124,0.0004335511,0.0010809498,0.0016079955,0.0012548269,0.002094796,0.002099887,0.0025341613,0.0014503421],"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":[0.0015344027,0.00088706904,0.97919226,0.00009148162,0.000361649,0.00051472086,0.0031605195,0.0016632364,0.0006018862,0.0035517092,0.0025443123,0.0058967127],"study_design_scores_gemma":[0.000058673602,0.000400008,0.98106164,0.0000862999,0.00027676506,0.00006750515,0.0093111545,0.004097639,0.0004408083,0.0007081878,0.0034652012,0.000026165568],"about_ca_topic_score_codex":0.1531949,"about_ca_topic_score_gemma":0.11554652,"teacher_disagreement_score":0.1531949,"about_ca_system_score_codex":0.0021074503,"about_ca_system_score_gemma":0.0014468314,"threshold_uncertainty_score":0.30460644},"labels":[],"label_agreement":null},{"id":"W2038818333","doi":"10.1007/bf02295679","title":"Retained earnings, leverage, and business investment","year":2004,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Leverage (statistics); Earnings; Business; Economics; Investment (military); Monetary economics; Financial system; Finance; Computer science","score_opus":0.05399881596000543,"score_gpt":0.33246306292401145,"score_spread":0.278464246964006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038818333","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":[0.96134454,0.019224353,0.0019055551,0.0043971264,0.00009224884,0.000014446228,0.00066508155,0.00004842188,0.012308152],"genre_scores_gemma":[0.9940229,0.0027206682,0.00012529176,0.00007062019,0.00016940094,0.000005394724,0.00027158606,0.000004472592,0.0026095954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997445,0.00008254512,0.000022357402,0.000028221519,0.000053222862,0.00006910848],"domain_scores_gemma":[0.98812824,0.005528373,0.0042404146,0.00031139256,0.00052808254,0.0012634145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011846849,0.00041207153,0.00039441916,0.0009462829,0.0004656936,0.0028050842,0.000584687,0.0012887586,0.0048659695],"category_scores_gemma":[0.014050858,0.0001742824,0.00027368098,0.0014898316,0.00087591837,0.0018660057,0.00071247277,0.0017158998,0.00048786175],"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":[0.00084338343,0.0006780713,0.8684282,0.00014514834,0.00044779878,0.0012141664,0.00058722263,0.010481708,0.0005902236,0.0521033,0.0073529645,0.057127804],"study_design_scores_gemma":[0.00008089814,0.00039689385,0.8377556,0.00018085148,0.0003825345,0.0007069692,0.001259819,0.020524757,0.00036596993,0.13028473,0.007992097,0.00006886642],"about_ca_topic_score_codex":0.007980852,"about_ca_topic_score_gemma":0.009696606,"teacher_disagreement_score":0.007980852,"about_ca_system_score_codex":0.0008480982,"about_ca_system_score_gemma":0.00056165515,"threshold_uncertainty_score":0.016278327},"labels":[],"label_agreement":null},{"id":"W2039783304","doi":"10.1007/s11294-011-9337-9","title":"Stock Price Effects of Mandatory Exchangeable Debt","year":2011,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Issuer; Debt; Monetary economics; Stock price; Business; Exploit; Stock (firearms); Internal debt; Financial system; Stock exchange; Bond; Debt levels and flows; Economics; Financial economics; Finance","score_opus":0.06040097401286208,"score_gpt":0.32255160217086387,"score_spread":0.2621506281580018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039783304","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":[0.9964133,0.00020473926,0.000090166024,0.00052996346,0.000033265962,0.00000423313,0.00028350105,0.000016610462,0.0024242043],"genre_scores_gemma":[0.99748385,0.00010195055,0.00003176889,0.000045979803,0.000034250523,0.0000022719373,0.00019866962,0.00000563456,0.0020955463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997168,0.000057242807,0.000030342278,0.000035485966,0.000047882833,0.000112128895],"domain_scores_gemma":[0.99014485,0.00502639,0.0025571284,0.0004899298,0.000600401,0.0011813537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010771808,0.0003970346,0.00057297375,0.0004153617,0.0003625417,0.002061048,0.0006930804,0.0013505631,0.013273245],"category_scores_gemma":[0.009137105,0.00037137058,0.0005268712,0.00042467588,0.00044481648,0.0014514184,0.00073383545,0.002170744,0.00079810305],"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":[0.055303976,0.008827204,0.5889688,0.00072578783,0.0011573561,0.010155961,0.0024693995,0.04454375,0.08271774,0.10451894,0.018106306,0.08250478],"study_design_scores_gemma":[0.0013263087,0.0019777638,0.9310321,0.000054929365,0.0005532955,0.0004957429,0.0012413717,0.035120238,0.008479306,0.017068261,0.002567025,0.00008351864],"about_ca_topic_score_codex":0.009682353,"about_ca_topic_score_gemma":0.012267496,"teacher_disagreement_score":0.013273245,"about_ca_system_score_codex":0.00087731227,"about_ca_system_score_gemma":0.00063954975,"threshold_uncertainty_score":0.044403434},"labels":[],"label_agreement":null},{"id":"W2040858244","doi":"10.1007/s11294-011-9305-4","title":"Testing the Application of the Technology Acceptance Model in the French Quebecer Banking Environment","year":2011,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Business; Technology acceptance model; Economics; Computer science; Operating system","score_opus":0.2490896737776387,"score_gpt":0.45506348050395584,"score_spread":0.20597380672631715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040858244","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":[0.9971053,0.000024963621,0.0005061832,0.00012867455,0.000010833825,0.00008223407,0.00011711104,0.000012890136,0.002011834],"genre_scores_gemma":[0.99671245,0.00003636129,0.0009471755,0.00007039321,0.0000057297066,0.00023443354,0.0002491732,0.000011582331,0.0017327252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99011326,0.0071655153,0.00023888718,0.0006255959,0.0009714919,0.00088523026],"domain_scores_gemma":[0.9420053,0.04329924,0.0023873814,0.0023092777,0.00868088,0.0013178218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011806787,0.0010582266,0.00075876544,0.0012461969,0.0018887905,0.0025981846,0.0015902665,0.0018332745,0.0056372],"category_scores_gemma":[0.03439577,0.00037649463,0.0010954499,0.0018078112,0.0013153364,0.0018640688,0.0016077153,0.001628859,0.0009609084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00647315,0.011818931,0.7955372,0.00046268027,0.00088170945,0.00081632717,0.017907184,0.04117832,0.0068932874,0.009674301,0.0057003093,0.1026566],"study_design_scores_gemma":[0.00058432436,0.008199969,0.86827564,0.00012346875,0.00029662513,0.00007611877,0.016084112,0.097694576,0.0023231038,0.00091890484,0.0052284594,0.00019473104],"about_ca_topic_score_codex":0.6829213,"about_ca_topic_score_gemma":0.62557626,"teacher_disagreement_score":0.3170787,"about_ca_system_score_codex":0.011082294,"about_ca_system_score_gemma":0.008718078,"threshold_uncertainty_score":0.63789207},"labels":[],"label_agreement":null},{"id":"W2041270207","doi":"10.1007/s11294-009-9203-1","title":"Modeling Distribution Channel Dynamics of North American Cars in the Spanish Automobile Industry","year":2009,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Bootstrapping (finance); Generalization; Distribution (mathematics); Channel (broadcasting); Econometrics; Sample (material); Partial least squares regression; Dependency (UML); Point (geometry); Economics; Computer science; Mathematics; Statistics; Telecommunications; Artificial intelligence","score_opus":0.04529964780064665,"score_gpt":0.363851855251693,"score_spread":0.31855220745104634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041270207","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":[0.9898037,0.00012214646,0.005493049,0.00026953878,0.000021202828,0.0000130687895,0.0002381829,0.000057632238,0.0039814706],"genre_scores_gemma":[0.9969415,0.00007706102,0.0005110566,0.000013724719,0.000005432139,0.0000074783857,0.00013110646,0.000013279614,0.0022992955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981195,0.00004689381,0.0000049686305,0.000042347332,0.000017931587,0.000075980905],"domain_scores_gemma":[0.99912935,0.00049860415,0.00006289493,0.000028812647,0.00020806608,0.00007226691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072456576,0.0004453553,0.0005979702,0.0006148744,0.00058627117,0.0016161889,0.00084537757,0.0013280817,0.002450319],"category_scores_gemma":[0.001806135,0.00041709503,0.00068340206,0.0008225557,0.0004910628,0.0008465698,0.00045834566,0.000785019,0.00027334873],"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":[0.000086977794,0.0000739294,0.010190923,0.000011509105,0.000016377217,0.00005638935,0.00006729615,0.98495066,0.00036193273,0.0017709617,0.0004863294,0.0019266683],"study_design_scores_gemma":[0.0000063054695,0.0000059949043,0.0018690474,0.0000014596279,0.0000052371674,0.0000028051768,0.00006236262,0.9976076,0.000056379064,0.00024943554,0.00012915971,0.0000041952117],"about_ca_topic_score_codex":0.34048256,"about_ca_topic_score_gemma":0.18373457,"teacher_disagreement_score":0.34048256,"about_ca_system_score_codex":0.0028780443,"about_ca_system_score_gemma":0.0022218197,"threshold_uncertainty_score":0.6770015},"labels":[],"label_agreement":null},{"id":"W2044219134","doi":"10.1007/s11294-009-9221-z","title":"Liquidity, Investment and Risky Debt: Some Evidence","year":2009,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Monetary economics; Market liquidity; Economics; Debt; Investment (military); Financial system; Business; Finance","score_opus":0.0877631177432547,"score_gpt":0.3861896040802786,"score_spread":0.2984264863370239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044219134","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":[0.69237137,0.26574168,0.0014334593,0.013397317,0.00011272277,0.000031738447,0.0024009498,0.000020513275,0.024490224],"genre_scores_gemma":[0.9305843,0.064410955,0.0004093163,0.0015983772,0.0006063875,0.000012897961,0.0010881177,0.000009824498,0.0012798174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992531,0.00024143266,0.0001105956,0.00018219325,0.00013004021,0.00008261132],"domain_scores_gemma":[0.9121304,0.07176895,0.01143242,0.0017018968,0.0019317451,0.0010345054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039423853,0.00049884676,0.00090107066,0.0026549161,0.00057063764,0.0037365027,0.0013974274,0.0024536464,0.011172625],"category_scores_gemma":[0.020568585,0.00047083476,0.0006778965,0.0044382443,0.0033752539,0.002450868,0.0017122624,0.001820145,0.00106577],"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":[0.010236335,0.00071324554,0.84279937,0.004165112,0.0033096578,0.001907754,0.0015103787,0.0017450079,0.0018630768,0.029754201,0.0060262945,0.09596961],"study_design_scores_gemma":[0.0012129043,0.0010435855,0.90018547,0.0027311102,0.005092852,0.0025677579,0.00325439,0.0018957371,0.0026122592,0.05040621,0.028874675,0.0001229571],"about_ca_topic_score_codex":0.0035256643,"about_ca_topic_score_gemma":0.0037054184,"teacher_disagreement_score":0.011172625,"about_ca_system_score_codex":0.000478047,"about_ca_system_score_gemma":0.00049557775,"threshold_uncertainty_score":0.037376165},"labels":[],"label_agreement":null},{"id":"W2047918906","doi":"10.1007/s11294-014-9475-y","title":"Nutrient Prices and Other Socio-Economic and Health Determinants of the Body Mass Index of Canadians","year":2014,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Mount Allison University; Dalhousie University","funders":"","keywords":"Subsidy; Body mass index; Index (typography); Economics; Nutrient; Socioeconomic status; Demographic economics; Environmental health; Medicine; Endocrinology; Biology","score_opus":0.03427689171018224,"score_gpt":0.4021499651008287,"score_spread":0.36787307339064645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047918906","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":[0.9859803,0.0016275523,0.00008597518,0.0014573418,0.000033723925,0.000018392053,0.0052323476,0.000012434292,0.0055518826],"genre_scores_gemma":[0.9969952,0.00047069407,0.00008281364,0.0000992859,0.00001224522,0.0000038407625,0.0013204443,0.000005033256,0.001010453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993955,0.000045776207,0.000040256797,0.00008328826,0.00020570053,0.00022936722],"domain_scores_gemma":[0.9972512,0.0002664812,0.00056725193,0.00010839582,0.0008918426,0.0009147259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067873683,0.00034354144,0.00040033774,0.0014812774,0.0025377485,0.0019533294,0.0014466998,0.0011060823,0.0061460733],"category_scores_gemma":[0.005045335,0.00038663318,0.0011799729,0.0045786733,0.0007909815,0.000566772,0.0006381794,0.0015102078,0.00038800453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028412446,0.000076444885,0.9930524,0.000028436421,0.00011489983,0.00008560972,0.00044303833,0.00027605915,0.000103436636,0.0005217928,0.0014162651,0.0035974993],"study_design_scores_gemma":[0.0000100905545,0.000016237713,0.99770564,0.000020342739,0.000032310258,0.0000458366,0.00070811494,0.00044424366,0.00001761369,0.00011190833,0.0008715825,0.000016101627],"about_ca_topic_score_codex":0.99400455,"about_ca_topic_score_gemma":0.99277884,"teacher_disagreement_score":0.017873112,"about_ca_system_score_codex":0.017873112,"about_ca_system_score_gemma":0.018773658,"threshold_uncertainty_score":0.12967908},"labels":[],"label_agreement":null},{"id":"W2053511890","doi":"10.1007/s11294-008-9179-2","title":"On Optimal Instrumental Variables Generators, with an Application to Hedge Fund Returns","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Hedge fund; Econometrics; Economics; Ranking (information retrieval); BETA (programming language); Alpha (finance); Benchmark (surveying); Computer science; Finance","score_opus":0.07162199698284667,"score_gpt":0.33776447030926143,"score_spread":0.2661424733264148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053511890","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":[0.003444207,0.0010497948,0.99067676,0.0009993557,0.00016868666,0.00008182866,0.000119932585,0.00014497334,0.0033144085],"genre_scores_gemma":[0.29648197,0.007448168,0.663674,0.0013086323,0.0023931894,0.0013857217,0.0009329501,0.0009178531,0.02545754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99380773,0.004753249,0.00019637197,0.00057316484,0.0004474905,0.0002219559],"domain_scores_gemma":[0.9303799,0.064118564,0.001736595,0.0016531876,0.0015677044,0.0005439453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019367205,0.0033937355,0.004524184,0.002739067,0.001276547,0.0034955933,0.003303358,0.005141862,0.008858108],"category_scores_gemma":[0.079393804,0.0025954724,0.0021445192,0.0035209197,0.007704884,0.005690049,0.005637702,0.0059353863,0.0011939477],"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":[0.00019407885,0.00012954282,0.0007548132,0.00026018044,0.00018086722,0.0002531689,0.00018930966,0.21453294,0.000566533,0.7502472,0.0043020435,0.028389413],"study_design_scores_gemma":[0.00010859304,0.000038306625,0.00013290741,0.000078971105,0.00003772194,0.000038249564,0.00002984279,0.45037216,0.00029786138,0.5468871,0.001933469,0.000044700362],"about_ca_topic_score_codex":0.003120434,"about_ca_topic_score_gemma":0.004377556,"teacher_disagreement_score":0.019367205,"about_ca_system_score_codex":0.0016202951,"about_ca_system_score_gemma":0.0042180326,"threshold_uncertainty_score":0.1024248},"labels":[],"label_agreement":null},{"id":"W2058550961","doi":"10.1007/s11294-013-9413-4","title":"Population Volatility in Large Counties in the United States","year":2013,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Australian Government; Woodrow Wilson International Center for Scholars","keywords":"Volatility (finance); Economics; Population; Demographic economics; Econometrics; Environmental health; Medicine","score_opus":0.047177708095996085,"score_gpt":0.43678016454265717,"score_spread":0.3896024564466611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058550961","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":[0.99872357,0.00013193549,0.00006860565,0.00021324148,0.0000073134493,0.0000022246509,0.0005011295,0.000005502243,0.00034656472],"genre_scores_gemma":[0.99943477,0.00006848363,0.000022020382,0.000022116097,0.0000075923886,0.0000027272085,0.00035190937,0.0000013029254,0.00008894107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975926,0.00007622125,0.000023291594,0.000052810614,0.000038766437,0.000049724],"domain_scores_gemma":[0.9989386,0.00032145812,0.00029517204,0.000063485124,0.000185433,0.00019582453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037355037,0.0001155676,0.00024058209,0.00089283683,0.00042264242,0.0008671548,0.00031212025,0.00039051022,0.00072105235],"category_scores_gemma":[0.0016231014,0.00017476032,0.00030475852,0.0014687225,0.00032463882,0.0005738271,0.0007546699,0.0004245273,0.00009390426],"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":[0.00006364248,0.000030067109,0.995697,0.0000060996435,0.000057344394,0.0000767874,0.00033249139,0.00087526283,0.0000883462,0.0002626138,0.00089596567,0.0016144309],"study_design_scores_gemma":[0.0000039302927,0.000012831675,0.9951062,0.000005566332,0.00001805056,0.00006200636,0.0014882414,0.0026914948,0.000036274694,0.00017161126,0.0003972362,0.000006473509],"about_ca_topic_score_codex":0.09627129,"about_ca_topic_score_gemma":0.14656276,"teacher_disagreement_score":0.09627129,"about_ca_system_score_codex":0.0009955439,"about_ca_system_score_gemma":0.0005588045,"threshold_uncertainty_score":0.1914218},"labels":[],"label_agreement":null},{"id":"W2067397354","doi":"10.1007/s11294-013-9422-3","title":"Accruals and Real Earnings Management around Debt Covenant Violations","year":2013,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Accrual; Covenant; Earnings management; Debt; Economics; Business; Earnings; Monetary economics; Accounting; Finance; Theology; Philosophy","score_opus":0.032834211621844384,"score_gpt":0.34498880995888803,"score_spread":0.3121545983370436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067397354","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":[0.9938403,0.0004353452,0.00085076626,0.0008047307,0.0000344795,0.000008284911,0.00007178857,0.000013375334,0.003940955],"genre_scores_gemma":[0.9993148,0.000073695235,0.00006255876,0.00001847108,0.000023874536,0.0000013422658,0.00003237907,0.0000022682873,0.0004706859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995449,0.00015930418,0.000058198046,0.00005247341,0.000086939646,0.000098182],"domain_scores_gemma":[0.98786604,0.0028208653,0.007279292,0.00032035986,0.00092831464,0.00078508275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013173644,0.00015139795,0.0001926826,0.0011129116,0.00043632215,0.0023672576,0.00034911477,0.0006558182,0.0028039867],"category_scores_gemma":[0.020401405,0.00014224129,0.00020426662,0.0009944784,0.0005967475,0.0018219565,0.0008746947,0.0010101387,0.00030215562],"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":[0.0023872252,0.00069339207,0.8628397,0.00007514101,0.00019024525,0.0014393996,0.002024787,0.02668539,0.0024540368,0.024513593,0.0032140955,0.07348292],"study_design_scores_gemma":[0.000052022206,0.0005684052,0.9119532,0.00006972875,0.00009901866,0.00066234823,0.0038706951,0.039477326,0.00076203904,0.039927717,0.0025115355,0.00004595381],"about_ca_topic_score_codex":0.0023267814,"about_ca_topic_score_gemma":0.0027471466,"teacher_disagreement_score":0.0028039867,"about_ca_system_score_codex":0.0006240981,"about_ca_system_score_gemma":0.00048628807,"threshold_uncertainty_score":0.009380281},"labels":[],"label_agreement":null},{"id":"W2070671009","doi":"10.1007/s11294-014-9491-y","title":"Canadian Stock Returns and the Term Structure of Interest Rates","year":2014,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; McMaster University","funders":"","keywords":"Economics; Stock (firearms); Term (time); Yield curve; Interest rate; Financial economics; Monetary economics; Geography; Physics","score_opus":0.12399923254916029,"score_gpt":0.35711078162278553,"score_spread":0.23311154907362525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070671009","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":[0.8280302,0.020299,0.0034892655,0.023744294,0.00036451328,0.000060866747,0.014756159,0.00013984666,0.1091158],"genre_scores_gemma":[0.9734046,0.007164239,0.0007129547,0.0002851809,0.000114413866,0.000008262526,0.0022667744,0.000028819697,0.016014777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999559,0.000045259923,0.000023970657,0.000049936752,0.0002155496,0.00010634283],"domain_scores_gemma":[0.99567115,0.00088347733,0.00075823953,0.00010648608,0.0022025504,0.00037808044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010972872,0.0003279934,0.0002896857,0.0021116543,0.0015123888,0.0030485392,0.0006753445,0.00064990384,0.005776822],"category_scores_gemma":[0.012027397,0.00023173327,0.00034822922,0.0034452674,0.00069435907,0.0010449955,0.0004701306,0.0011159749,0.00044427236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007289469,0.00009701085,0.40570095,0.00035950047,0.00028915989,0.000647336,0.0020026406,0.038037825,0.0015563737,0.38852447,0.06361143,0.09844435],"study_design_scores_gemma":[0.00009569675,0.000041039897,0.86365336,0.0002246607,0.00023868891,0.0001964898,0.0014542846,0.038632654,0.0008679816,0.044031233,0.050395247,0.00016861649],"about_ca_topic_score_codex":0.98930174,"about_ca_topic_score_gemma":0.9919872,"teacher_disagreement_score":0.03650589,"about_ca_system_score_codex":0.03650589,"about_ca_system_score_gemma":0.020906087,"threshold_uncertainty_score":0.26487005},"labels":[],"label_agreement":null},{"id":"W2088743470","doi":"10.1007/s11294-007-9079-x","title":"Forecasting UHF Financial Data: Realized Volatility versus UHF-GARCH Models","year":2007,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec; Université du Québec en Outaouais","funders":"","keywords":"Ultra high frequency; Volatility (finance); Autoregressive conditional heteroskedasticity; Economics; Finance; Financial economics; Environmental science; Econometrics; Computer science; Telecommunications","score_opus":0.6468461378368032,"score_gpt":0.6038879846002901,"score_spread":0.042958153236513086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088743470","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":[0.5134364,0.0024651524,0.4798824,0.00092869747,0.00033775,0.00003842355,0.000516777,0.00057343655,0.001821006],"genre_scores_gemma":[0.95631164,0.0008398396,0.04118002,0.00008885023,0.00024528662,0.000020551703,0.00060189294,0.00004636533,0.0006655933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916375,0.0003403244,0.000051607345,0.00015335542,0.00020166687,0.00008930617],"domain_scores_gemma":[0.9956131,0.0033380182,0.00029951206,0.00033757297,0.0003247231,0.000086962384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037930338,0.00068713014,0.0012783713,0.001141339,0.00029763082,0.001397066,0.0008099882,0.0016239942,0.0008497929],"category_scores_gemma":[0.017252242,0.00032144698,0.0006798808,0.0011825676,0.00037742828,0.0024982912,0.00055662845,0.0010585069,0.00022647517],"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":[0.00040796437,0.0000933046,0.017648911,0.0001213226,0.00026189693,0.00012116028,0.00006837452,0.7797722,0.0025005783,0.0097199995,0.0018789927,0.18740526],"study_design_scores_gemma":[0.000009108478,0.000017387623,0.0013725843,0.0000041817702,0.000012790897,0.0000148985855,0.00000699854,0.9956429,0.00031120557,0.0025155838,0.00008559173,0.000006774684],"about_ca_topic_score_codex":0.0039796797,"about_ca_topic_score_gemma":0.0025047257,"teacher_disagreement_score":0.0039796797,"about_ca_system_score_codex":0.0004634048,"about_ca_system_score_gemma":0.00045512582,"threshold_uncertainty_score":0.020059705},"labels":[],"label_agreement":null},{"id":"W2094386192","doi":"10.1007/s11294-006-9031-5","title":"Harrod–Domar Growth and the Production Possibility Curve","year":2006,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Economics; Production (economics); Macroeconomics","score_opus":0.04029054729074932,"score_gpt":0.3290511869898259,"score_spread":0.28876063969907656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094386192","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":[0.22337088,0.02018642,0.55983657,0.023644965,0.0006810065,0.000078121084,0.0007691973,0.00043709704,0.17099568],"genre_scores_gemma":[0.95625454,0.0056435047,0.016005248,0.00020714806,0.00045758777,0.0000536162,0.00019064457,0.000065507826,0.021122273],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993254,0.0003153007,0.000029881705,0.00012501565,0.00010790351,0.00009648822],"domain_scores_gemma":[0.99310184,0.004830801,0.00050352956,0.00042043792,0.00063546316,0.0005079794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028649606,0.0009491366,0.0010229821,0.0021641438,0.0012680123,0.003544438,0.0012755163,0.0023372509,0.008100152],"category_scores_gemma":[0.016004287,0.0004677668,0.0009476185,0.001973966,0.0036476087,0.0071290126,0.0020208545,0.0032979555,0.0013911712],"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":[0.00003605166,0.000011872736,0.0005602377,0.000035636916,0.000012370512,0.00012545128,0.00012255792,0.014490954,0.00018039452,0.9726564,0.0016233076,0.010144783],"study_design_scores_gemma":[0.0000053232284,0.0000059794015,0.00030254634,0.0000138360865,0.0000041285007,0.0000713525,0.00003367941,0.017113999,0.000045421373,0.9802452,0.0021478734,0.000010550984],"about_ca_topic_score_codex":0.0027281397,"about_ca_topic_score_gemma":0.0011819201,"teacher_disagreement_score":0.008100152,"about_ca_system_score_codex":0.0020157595,"about_ca_system_score_gemma":0.0010406391,"threshold_uncertainty_score":0.027097702},"labels":[],"label_agreement":null},{"id":"W2095113771","doi":"10.1007/s11294-007-9133-8","title":"The Moderator Effect of Communication in Marketing Channels of Distribution; The Case of Car’s Industry in Canada","year":2007,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Moderation; Distribution (mathematics); Great Moderation; Marketing; Advertising; Business; Economics; Econometrics; Mathematics; Statistics","score_opus":0.030519415545146825,"score_gpt":0.36078195379765204,"score_spread":0.33026253825250523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095113771","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":[0.98387134,0.00065038376,0.0002970889,0.0033972831,0.000027201626,0.00003344377,0.00022261904,0.000017774595,0.011482847],"genre_scores_gemma":[0.99735767,0.00013412646,0.00010134733,0.00009519238,0.000009874404,0.000007856495,0.000039355185,0.000006392112,0.0022482069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959441,0.0011644369,0.00010643718,0.0003976907,0.00068947586,0.0016979078],"domain_scores_gemma":[0.9676898,0.018242298,0.002645341,0.00065178546,0.006422254,0.0043483973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035669822,0.00043109982,0.00091697706,0.0018690749,0.008232001,0.0053969626,0.0020416598,0.002264123,0.011580108],"category_scores_gemma":[0.0186462,0.00038510808,0.0007634375,0.0025473202,0.0042568278,0.001933765,0.0029304218,0.0028947487,0.00043240414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011354085,0.00064537814,0.92094755,0.00016375066,0.00031735603,0.0021232683,0.02672214,0.0031769292,0.0014393146,0.01530279,0.006050129,0.021976046],"study_design_scores_gemma":[0.00021577878,0.00020862403,0.8954721,0.00028783912,0.0008215005,0.00026503784,0.079357155,0.0065064947,0.0012261404,0.0029538474,0.012571038,0.00011447778],"about_ca_topic_score_codex":0.9742387,"about_ca_topic_score_gemma":0.98027086,"teacher_disagreement_score":0.035638396,"about_ca_system_score_codex":0.035638396,"about_ca_system_score_gemma":0.05301444,"threshold_uncertainty_score":0.25857586},"labels":[],"label_agreement":null},{"id":"W2123082664","doi":"10.1007/bf02296018","title":"Revisiting the notion of equilibrium in neoclassical microeconomic theory","year":2001,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Economic Theory and Institutions","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Economics; Neoclassical economics; Mathematical economics; Positive economics; General equilibrium theory; Keynesian economics; Microeconomics","score_opus":0.06826784471063366,"score_gpt":0.3646933991876007,"score_spread":0.29642555447696706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123082664","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":[0.038296394,0.016034221,0.6589299,0.038066365,0.0025146597,0.00006798905,0.0004319325,0.00021365272,0.24544494],"genre_scores_gemma":[0.87941915,0.0103417905,0.08167923,0.0035042525,0.0027524072,0.00017440467,0.0002192286,0.0002634655,0.021645995],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978283,0.001015631,0.00012837061,0.00034080102,0.00051331543,0.00017367631],"domain_scores_gemma":[0.996865,0.0017494863,0.00023664576,0.00042855673,0.0005706506,0.00014970508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041327295,0.00080348505,0.0014844934,0.0017934744,0.002549611,0.0060453266,0.0026294058,0.0033558542,0.0075023538],"category_scores_gemma":[0.00887711,0.00060964737,0.0014004222,0.0022513994,0.010251422,0.014947169,0.004161513,0.0052627167,0.0014468962],"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":[0.0000011925249,0.0000018198613,0.00002138534,0.000008147377,0.0000014396946,0.000004917197,0.000038793634,0.0003531522,0.000012518529,0.99866474,0.0002007407,0.0006912123],"study_design_scores_gemma":[0.0000011632454,0.0000012099161,0.000018025405,0.000008789597,0.0000010017421,0.0000064591445,0.000019245119,0.0009978946,0.000009318143,0.9971892,0.0017458645,0.0000018441665],"about_ca_topic_score_codex":0.0036301888,"about_ca_topic_score_gemma":0.002942649,"teacher_disagreement_score":0.0075023538,"about_ca_system_score_codex":0.0034564508,"about_ca_system_score_gemma":0.0030588082,"threshold_uncertainty_score":0.025097847},"labels":[],"label_agreement":null},{"id":"W2205672553","doi":"10.1007/s11294-016-9577-9","title":"Algebra of Integrated Time Series: Evidence from Unit Root Analysis","year":2016,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University","funders":"Royal Swedish Academy of Sciences","keywords":"Spurious relationship; Cointegration; Proposition; Unit root; Series (stratigraphy); Regression; Mathematics; Combinatorics; Econometrics; Statistics; Philosophy; Geology; Epistemology","score_opus":0.13528808416844953,"score_gpt":0.3684365211266367,"score_spread":0.23314843695818718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2205672553","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":[0.6478877,0.0020082453,0.31173918,0.0013808012,0.00029089232,0.00006606792,0.0007287909,0.00084825733,0.03505016],"genre_scores_gemma":[0.97697395,0.00081019115,0.017082818,0.00011738519,0.0002445636,0.000032090713,0.0006511472,0.00017776589,0.00391019],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975516,0.00083544984,0.00020040893,0.00051233836,0.00075233495,0.00014786843],"domain_scores_gemma":[0.9659114,0.020460924,0.00366249,0.005658622,0.0034666553,0.000839926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003679063,0.00042739997,0.0009819935,0.0014600764,0.00066232675,0.002973302,0.0011438695,0.00056092994,0.014430738],"category_scores_gemma":[0.035262458,0.0002805157,0.00082684634,0.0022991672,0.0018287757,0.0056975163,0.0013077044,0.0018346432,0.0018388709],"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":[0.0010741224,0.00038611656,0.021988368,0.00023181368,0.00032828233,0.00050193915,0.0010925081,0.027542237,0.004183534,0.8172261,0.005526939,0.119918056],"study_design_scores_gemma":[0.00015267123,0.00026987307,0.01534396,0.000035099518,0.00010412824,0.00022836782,0.00022278496,0.12780786,0.002094866,0.8492745,0.004401943,0.00006378575],"about_ca_topic_score_codex":0.0015899832,"about_ca_topic_score_gemma":0.00067575136,"teacher_disagreement_score":0.014430738,"about_ca_system_score_codex":0.0004443806,"about_ca_system_score_gemma":0.000786034,"threshold_uncertainty_score":0.04827559},"labels":[],"label_agreement":null},{"id":"W2608081362","doi":"10.1007/s11294-016-9606-8","title":"Management Control and Takeover Premiums","year":2016,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control (management); Economics; Business; Monetary economics; Management","score_opus":0.026184131266831424,"score_gpt":0.3140482624473649,"score_spread":0.28786413118053344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608081362","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":[0.99247825,0.00085114763,0.00030673566,0.00075866916,0.000027014457,0.0000055053524,0.00012372609,0.000021987978,0.005427037],"genre_scores_gemma":[0.99834764,0.00007182479,0.000015925021,0.000031710428,0.000039078514,6.349399e-7,0.00006048023,0.0000020044722,0.0014308224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995734,0.00005238705,0.000026654812,0.000051139454,0.00008783595,0.000208514],"domain_scores_gemma":[0.98988944,0.003053932,0.003967327,0.00036862667,0.00039428246,0.0023264263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010740872,0.00023212688,0.0002798372,0.00086259417,0.00042016487,0.0023311835,0.00034729368,0.0011997633,0.009845973],"category_scores_gemma":[0.0066925404,0.00014941637,0.00039463807,0.0004754977,0.0004816359,0.0010984851,0.0006584282,0.0014920158,0.0005995627],"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":[0.0017477853,0.0010833896,0.94571835,0.000055038396,0.00029322263,0.0007514747,0.0005249893,0.001904869,0.0031588282,0.016090171,0.0018987106,0.026773049],"study_design_scores_gemma":[0.000040219355,0.00015297864,0.9847521,0.000014036481,0.000093413146,0.0002490058,0.00029673052,0.0026032533,0.00060492277,0.0102175595,0.0009577537,0.000018000319],"about_ca_topic_score_codex":0.004565858,"about_ca_topic_score_gemma":0.0047630304,"teacher_disagreement_score":0.009845973,"about_ca_system_score_codex":0.00064735353,"about_ca_system_score_gemma":0.00027526784,"threshold_uncertainty_score":0.032938063},"labels":[],"label_agreement":null},{"id":"W2734888198","doi":"10.1007/s11294-017-9644-x","title":"The Performance of Reverse Leveraged Buyouts: Another Look","year":2017,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Leveraged buyout; Business; Economics; Finance; Private equity","score_opus":0.06056777929392093,"score_gpt":0.3654180650534603,"score_spread":0.3048502857595394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734888198","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":[0.95719695,0.0036402242,0.001160721,0.0027792489,0.00018632223,0.000019377245,0.0013830634,0.000093626724,0.033540454],"genre_scores_gemma":[0.99024874,0.00056091126,0.00012081386,0.00017399767,0.00020864513,0.0000022731458,0.0005277751,0.00002400331,0.008132914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999443,0.000083713734,0.000041990737,0.00008403303,0.00019748189,0.00014972183],"domain_scores_gemma":[0.9920483,0.0029388242,0.0016255637,0.0008066821,0.0018214793,0.00075906556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012397097,0.0004034312,0.0005913808,0.000937533,0.00028986085,0.0024510615,0.00055238785,0.0011234505,0.0139765],"category_scores_gemma":[0.0064942753,0.00010557001,0.0004206556,0.0008270603,0.00055483595,0.0031416963,0.00078345666,0.0015100756,0.0020299107],"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":[0.0060074055,0.0027901137,0.6111869,0.0006645096,0.0009757204,0.0030607658,0.0017328953,0.018870162,0.048958592,0.0414822,0.023687888,0.24058284],"study_design_scores_gemma":[0.00011268535,0.0039412403,0.91751236,0.00023482915,0.00029791793,0.0011007884,0.002567613,0.0146697955,0.018610831,0.021891698,0.018889882,0.00017037308],"about_ca_topic_score_codex":0.0023191606,"about_ca_topic_score_gemma":0.0020294588,"teacher_disagreement_score":0.0139765,"about_ca_system_score_codex":0.0004292504,"about_ca_system_score_gemma":0.0003019546,"threshold_uncertainty_score":0.04675609},"labels":[],"label_agreement":null},{"id":"W2768571301","doi":"10.1007/s11294-017-9662-8","title":"An Econometric Learning Approach to Approximate Expectations in Empirical Macro Models","year":2017,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Macro; Economics; Econometrics; Econometric model; Computer science","score_opus":0.19347365196773852,"score_gpt":0.4407110904539831,"score_spread":0.24723743848624458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768571301","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00479657,0.00025094222,0.99359494,0.0003245845,0.000037977807,0.000015311178,0.000050918836,0.00012919492,0.0007996144],"genre_scores_gemma":[0.5725905,0.001566082,0.41384086,0.0005388351,0.00061918446,0.00039681868,0.00081805774,0.00030736235,0.009322377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998401,0.0009886667,0.00010844568,0.00020211708,0.00021133565,0.00008840896],"domain_scores_gemma":[0.9750703,0.022244746,0.0007455456,0.0007698532,0.0009207063,0.0002488433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051493095,0.0008121573,0.0016598089,0.0013417399,0.0006077593,0.0017119469,0.0024445795,0.0017665976,0.0040135076],"category_scores_gemma":[0.0392453,0.0012044521,0.0011343689,0.0015002835,0.0014963989,0.0030136798,0.0020315428,0.0031405317,0.00062836526],"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":[0.000043079977,0.00005377828,0.000995378,0.000056866116,0.00007250336,0.000062544736,0.00008232052,0.874556,0.00014611914,0.08613614,0.001361655,0.03643371],"study_design_scores_gemma":[0.000005363744,0.000003907346,0.00005272458,0.0000049640266,0.0000047717003,0.0000050153994,0.0000040409973,0.9699469,0.00003973019,0.029752992,0.00017541286,0.0000041885655],"about_ca_topic_score_codex":0.010851145,"about_ca_topic_score_gemma":0.008117046,"teacher_disagreement_score":0.010851145,"about_ca_system_score_codex":0.0012932682,"about_ca_system_score_gemma":0.0015043275,"threshold_uncertainty_score":0.027232468},"labels":[],"label_agreement":null},{"id":"W2788533552","doi":"10.1007/s11294-018-9666-z","title":"Credit Risk in Islamic and Conventional Banking","year":2018,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Mary's University; Saint Mary's University; McMaster University","funders":"","keywords":"Islamic banking; Islam; Financial system; Credit risk; Business; Economics; Actuarial science; Theology; Philosophy","score_opus":0.028821102473894664,"score_gpt":0.3450364595206684,"score_spread":0.3162153570467737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788533552","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":[0.9423335,0.008947148,0.0065597966,0.007655705,0.00020617913,0.00002816795,0.00018278814,0.000025167488,0.034061536],"genre_scores_gemma":[0.9967282,0.000781604,0.0001762316,0.00007371839,0.00015545207,0.0000064648084,0.000038552975,0.0000023113744,0.0020374556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9995906,0.0001357344,0.000033372864,0.00005987504,0.00010432597,0.00007605751],"domain_scores_gemma":[0.9953998,0.0028676356,0.0007579164,0.00016355538,0.0003462053,0.00046496536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001681458,0.0002835834,0.0005033915,0.0009135394,0.00064081425,0.0031296902,0.0005688114,0.0014819787,0.004278162],"category_scores_gemma":[0.010718292,0.00019443476,0.00035159863,0.0010084084,0.0027345107,0.00371247,0.0011332105,0.0018988096,0.00023562214],"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":[0.0006399737,0.00035616054,0.059250448,0.00014825213,0.00006948915,0.0005477219,0.0022891206,0.01204372,0.00053759286,0.89149815,0.0045113303,0.028108133],"study_design_scores_gemma":[0.00010558119,0.00012084665,0.08801162,0.0001216663,0.00006633037,0.00028221327,0.0020981904,0.031328604,0.00013436865,0.87400436,0.0036747379,0.00005146332],"about_ca_topic_score_codex":0.0043767267,"about_ca_topic_score_gemma":0.003311066,"teacher_disagreement_score":0.0043767267,"about_ca_system_score_codex":0.0012900142,"about_ca_system_score_gemma":0.0008465585,"threshold_uncertainty_score":0.01431185},"labels":[],"label_agreement":null},{"id":"W2792449710","doi":"10.1007/s11294-018-9677-9","title":"Asset Returns and Economic Conditions","year":2018,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Kingston Health Sciences Centre","funders":"","keywords":"Economics; Asset (computer security); Financial economics; Monetary economics; Computer science","score_opus":0.0383418981568467,"score_gpt":0.36820105845155376,"score_spread":0.3298591602947071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792449710","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":[0.96089613,0.0013808104,0.00085481745,0.0014383224,0.000028136421,0.000009735694,0.0005486281,0.000024218381,0.034819175],"genre_scores_gemma":[0.9975575,0.0003594449,0.000058132977,0.000026975242,0.000047742422,0.0000027835624,0.00016993475,0.0000029552418,0.0017745255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997284,0.000081252685,0.000020158954,0.000040203475,0.000045981422,0.00008402922],"domain_scores_gemma":[0.9959603,0.0016185682,0.0012395645,0.00018773839,0.00030681066,0.000687124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006488545,0.00016422116,0.0002168784,0.0012124932,0.00028303478,0.002461303,0.00016998971,0.0006988385,0.008982338],"category_scores_gemma":[0.005441664,0.000098421544,0.0001749047,0.0012344392,0.0010162406,0.0016686241,0.0008272522,0.00093542505,0.0010042407],"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":[0.00072950474,0.0005534217,0.8033674,0.00006907649,0.00021321743,0.000710045,0.00081385707,0.0090177655,0.0013425358,0.14133283,0.0031033622,0.038747024],"study_design_scores_gemma":[0.000019440693,0.00011290186,0.91265476,0.000031774234,0.000054702872,0.00027675484,0.0010233951,0.004368356,0.00030836568,0.07531752,0.005806314,0.000025741181],"about_ca_topic_score_codex":0.0028268923,"about_ca_topic_score_gemma":0.0023239332,"teacher_disagreement_score":0.008982338,"about_ca_system_score_codex":0.00064123457,"about_ca_system_score_gemma":0.00032497075,"threshold_uncertainty_score":0.030048907},"labels":[],"label_agreement":null},{"id":"W2884921921","doi":"10.1007/s11294-023-09883-w","title":"A Pull–Push Theory of Industrial Revolutions","year":2023,"lang":"en","type":"preprint","venue":"International Advances in Economic Research","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Industrial Revolution; Steam engine; Shock (circulatory); Economy; Economics; Engineering; Market economy; Political science; Law; Mechanical engineering","score_opus":0.2863787046201857,"score_gpt":0.40157500855457146,"score_spread":0.11519630393438574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884921921","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":[0.19817924,0.007955199,0.40427646,0.02721292,0.0010239827,0.00018273006,0.0009854159,0.0006150846,0.3595689],"genre_scores_gemma":[0.9163321,0.0032387644,0.01323849,0.0009034613,0.0009758322,0.00014066156,0.00017845196,0.00014449246,0.06484776],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993284,0.00020776763,0.000028124352,0.00012298313,0.00017285031,0.00013998352],"domain_scores_gemma":[0.9974515,0.0013011178,0.00031526064,0.00031089678,0.000334941,0.00028627223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018896007,0.0006827924,0.00088160863,0.0026464728,0.0015555684,0.0033285206,0.001514384,0.0020272965,0.02319208],"category_scores_gemma":[0.007209382,0.00047877073,0.0012868604,0.001685919,0.0030517783,0.005844323,0.0021586656,0.002452223,0.0023000226],"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":[0.00001716622,0.000012184868,0.00030354873,0.000030176681,0.000010229227,0.00003793044,0.00011661335,0.002484906,0.0001266989,0.98968107,0.0017456681,0.0054337694],"study_design_scores_gemma":[0.0000132678115,0.0000105734125,0.00025870523,0.000013607029,0.0000063487955,0.000041405783,0.00008219969,0.008113828,0.00006112344,0.98865485,0.0027371089,0.0000069721896],"about_ca_topic_score_codex":0.0019452798,"about_ca_topic_score_gemma":0.0011813567,"teacher_disagreement_score":0.02319208,"about_ca_system_score_codex":0.001238851,"about_ca_system_score_gemma":0.000774655,"threshold_uncertainty_score":0.07758522},"labels":[],"label_agreement":null},{"id":"W2992523819","doi":"10.1007/s11294-019-09753-4","title":"How Roosevelt Transformed the National Industrial Recovery Act","year":2019,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Demise; Economics; Productivity; Wage; New Deal; Labour economics; Political science; Law; Macroeconomics; Politics","score_opus":0.049790608910566414,"score_gpt":0.3258800464964031,"score_spread":0.2760894375858367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992523819","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":[0.020001259,0.0054179253,0.0030769194,0.24376021,0.003137216,0.00007820957,0.00013870919,0.000078444646,0.724311],"genre_scores_gemma":[0.2686675,0.0021329813,0.002620751,0.17322515,0.0012467213,0.00022033931,0.0000866954,0.00030647166,0.55149335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99014854,0.0032822029,0.00026802343,0.0016281648,0.0023808724,0.0022921073],"domain_scores_gemma":[0.99681085,0.0014837733,0.00018315944,0.00039226605,0.0007895968,0.00034033603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008245127,0.0006034767,0.0005859366,0.0009255061,0.007361134,0.013940325,0.0017717876,0.017724605,0.010636943],"category_scores_gemma":[0.023548804,0.00056778576,0.0009477355,0.0008810146,0.014759326,0.008208211,0.0061039897,0.01939741,0.0023953028],"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":[0.000024456695,0.000038179816,0.0002525936,0.000017240549,0.000009642568,0.00012053584,0.001953502,0.00031282692,0.00011240246,0.9447084,0.044170186,0.008280066],"study_design_scores_gemma":[0.000023595278,0.00002823904,0.0005984249,0.00014726489,0.000013602244,0.00006872969,0.0018948223,0.0003013147,0.00032455038,0.14125745,0.8552955,0.000046557067],"about_ca_topic_score_codex":0.10350245,"about_ca_topic_score_gemma":0.13114354,"teacher_disagreement_score":0.10350245,"about_ca_system_score_codex":0.012068916,"about_ca_system_score_gemma":0.01896511,"threshold_uncertainty_score":0.2058},"labels":[],"label_agreement":null},{"id":"W3007465072","doi":"10.1007/s11294-020-09766-4","title":"Fuel-Mining Exports and Economic Growth: Evidence from the UAE","year":2020,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economics; Natural resource economics; International economics; Monetary economics; Business; International trade; Development economics","score_opus":0.14034507173550936,"score_gpt":0.3530383789934904,"score_spread":0.21269330725798102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007465072","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":[0.99369425,0.0016076204,0.0000922707,0.00042707674,0.000010959982,0.000004300062,0.0009028772,0.000008517314,0.0032520709],"genre_scores_gemma":[0.9962871,0.0016496945,0.00007719882,0.00007272279,0.000021621554,0.0000044028766,0.0009807694,0.0000041097874,0.00090235943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997191,0.00011816134,0.000018844035,0.000030817937,0.000045382367,0.0000677235],"domain_scores_gemma":[0.9961182,0.001742754,0.0012375903,0.000122055295,0.00040306422,0.0003763577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006821992,0.00032824892,0.00040038527,0.0015497657,0.0005829178,0.0015068222,0.00034061068,0.00052158907,0.002273837],"category_scores_gemma":[0.002835009,0.00015758406,0.00032101208,0.0035056702,0.0006906827,0.00075920735,0.00099491,0.0006252889,0.00044706053],"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":[0.00083669805,0.00040419347,0.96838087,0.00015877844,0.0003555992,0.00094169116,0.0011143527,0.0012951174,0.0003230852,0.0019678501,0.0029836602,0.021238163],"study_design_scores_gemma":[0.00003416827,0.00011247376,0.99096316,0.000086318,0.00017585076,0.0001033038,0.0026747528,0.0011864795,0.00030877194,0.00033933506,0.004002841,0.000012568463],"about_ca_topic_score_codex":0.044717796,"about_ca_topic_score_gemma":0.05899196,"teacher_disagreement_score":0.044717796,"about_ca_system_score_codex":0.00047466104,"about_ca_system_score_gemma":0.0005017435,"threshold_uncertainty_score":0.08891499},"labels":[],"label_agreement":null},{"id":"W3008811129","doi":"10.1007/s11294-020-09769-1","title":"Exposure to Provincial and National Information and Firm Performance: Crisis Period Evidence from China","year":2020,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"China; Financial crisis; Business; Value (mathematics); Finance; Financial system; Economics; Political science; Macroeconomics","score_opus":0.039137072224380814,"score_gpt":0.3117219002384428,"score_spread":0.27258482801406203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008811129","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":[0.998445,0.00014926764,0.000019452165,0.00019125718,0.0000022065672,0.0000037544207,0.00034603316,0.000001806061,0.0008410992],"genre_scores_gemma":[0.999049,0.0001450814,0.000009968689,0.000029396528,0.000003745731,0.000001818847,0.00042527597,0.0000011647649,0.0003344973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949193,0.000068461166,0.000046999256,0.00006369803,0.000118250595,0.00021078858],"domain_scores_gemma":[0.9931552,0.0012048666,0.0026313867,0.00034219402,0.0013453473,0.0013210067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094778975,0.00024807063,0.00034913275,0.0015570023,0.0011994963,0.0013309624,0.0005780689,0.0004899907,0.003448581],"category_scores_gemma":[0.0034692115,0.00023349334,0.00036797242,0.004465492,0.00089156453,0.00076893857,0.0012824123,0.00066156854,0.00025335752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013165254,0.000046999943,0.9958548,0.000016205997,0.00005449895,0.000087648994,0.00094733306,0.00012307147,0.0001172853,0.00018116127,0.00035200611,0.0020873044],"study_design_scores_gemma":[0.000006232342,0.000019865933,0.99847394,0.0000051547895,0.000033669112,0.000014897638,0.00088576117,0.00021387996,0.00004791273,0.000044940916,0.0002493937,0.0000043543755],"about_ca_topic_score_codex":0.5280137,"about_ca_topic_score_gemma":0.5678763,"teacher_disagreement_score":0.5280137,"about_ca_system_score_codex":0.0025840509,"about_ca_system_score_gemma":0.0044466318,"threshold_uncertainty_score":0.94953185},"labels":[],"label_agreement":null},{"id":"W3168113216","doi":"10.1007/s11294-021-09825-4","title":"Export Diversification in the Gulf: The Kuwait Experience","year":2021,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Diversification (marketing strategy); Economics; International trade; International economics; Business; Marketing","score_opus":0.078681631984007,"score_gpt":0.37815088754262643,"score_spread":0.2994692555586194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168113216","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":[0.9936253,0.0006134795,0.000024972287,0.0007927406,0.000014550891,0.0000042801416,0.0000395704,0.0000022223853,0.004882883],"genre_scores_gemma":[0.9953133,0.0014391616,0.000036929632,0.00028573623,0.000010777928,0.0000047319136,0.000053294985,0.0000045501424,0.002851571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99967885,0.00007442703,0.00001866473,0.000024331746,0.00003452442,0.00016908726],"domain_scores_gemma":[0.9994611,0.000113259586,0.00017103483,0.000030122286,0.00007470084,0.00014975165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082007935,0.00036928005,0.00029721003,0.0009774449,0.0033098732,0.0024432868,0.00035891536,0.00059788954,0.0049670455],"category_scores_gemma":[0.000978612,0.00027034432,0.00017489518,0.0024202897,0.0022633409,0.0019441526,0.002515904,0.001162464,0.00054028135],"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":[0.0006199828,0.00041510735,0.4695727,0.0003462007,0.00006847974,0.013022735,0.42211178,0.00041912863,0.0028664966,0.020830091,0.0065488163,0.06317858],"study_design_scores_gemma":[0.000052910556,0.00025606697,0.4550393,0.0007375263,0.00005464314,0.0037564386,0.45869738,0.000636161,0.0009744905,0.0015882828,0.07814657,0.000060244613],"about_ca_topic_score_codex":0.06250139,"about_ca_topic_score_gemma":0.0870817,"teacher_disagreement_score":0.06250139,"about_ca_system_score_codex":0.0027280464,"about_ca_system_score_gemma":0.0018076565,"threshold_uncertainty_score":0.12427521},"labels":[],"label_agreement":null},{"id":"W4212800062","doi":"10.1007/s11294-022-09839-6","title":"Working Capital Management and Firm Performance: Some Evidence from Europe","year":2021,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Working capital; Business; Economics; Capital (architecture); Monetary economics; Financial system; Finance; Geography","score_opus":0.05110869911000042,"score_gpt":0.3159153942988597,"score_spread":0.26480669518885924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212800062","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":[0.9637236,0.025644353,0.00027417086,0.00064774277,0.00004308238,0.000008688835,0.0007624425,0.000005172555,0.008890717],"genre_scores_gemma":[0.99271023,0.0056938273,0.00007365974,0.00022792898,0.00005404389,0.0000037588775,0.0008385867,0.000004799084,0.0003930995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984388,0.00036395082,0.00020411333,0.0004055223,0.00028266612,0.0003049807],"domain_scores_gemma":[0.98444515,0.007846607,0.0046555446,0.00081271457,0.0013054202,0.00093445106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041592014,0.0003817538,0.0007240946,0.004632837,0.00062305003,0.0034480074,0.00081077276,0.00096622936,0.0025126152],"category_scores_gemma":[0.007554084,0.00023581025,0.00079782703,0.008432261,0.0017751771,0.0013621211,0.0016154966,0.00071931083,0.00030658225],"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":[0.0013367963,0.00025727105,0.9501971,0.00034855475,0.0015806175,0.00045290525,0.0011192218,0.00061663694,0.00041691924,0.0022820216,0.00088634255,0.04050566],"study_design_scores_gemma":[0.000028441058,0.00010376385,0.9954466,0.00017506488,0.00038273583,0.00011161481,0.00062577554,0.00006327189,0.00018764944,0.00031712337,0.002547428,0.000010525994],"about_ca_topic_score_codex":0.013248169,"about_ca_topic_score_gemma":0.011155238,"teacher_disagreement_score":0.013248169,"about_ca_system_score_codex":0.00069372344,"about_ca_system_score_gemma":0.00064112735,"threshold_uncertainty_score":0.026342154},"labels":[],"label_agreement":null},{"id":"W4241037498","doi":"10.1007/s11294-008-9169-4","title":"On Optimal Instrumental Variables Generators: An Application to Hedge Funds Returns","year":2008,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Outaouais","funders":"","keywords":"Instrumental variable; Economics; Hedge fund; Hedge; Econometrics; Financial economics; Finance","score_opus":0.0692061477979784,"score_gpt":0.3468663787278075,"score_spread":0.2776602309298291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241037498","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039539738,0.0006557738,0.9914978,0.000932291,0.00013475174,0.00005524876,0.000062667954,0.00013265527,0.002574781],"genre_scores_gemma":[0.36585173,0.005423607,0.6014059,0.0010652103,0.0019694387,0.0008043812,0.0004617433,0.0007420455,0.022275982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99632865,0.0027040406,0.00011991946,0.00035670178,0.00034106435,0.00014953382],"domain_scores_gemma":[0.95839345,0.038167126,0.0009542668,0.0010945543,0.001030414,0.00036027652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013548499,0.002599532,0.0039783814,0.0020330197,0.0010385088,0.0028084472,0.0028418123,0.0050829803,0.0077169705],"category_scores_gemma":[0.05630071,0.0023837483,0.0019001521,0.0025892882,0.0055944514,0.0048968336,0.0051745726,0.0053494284,0.0008893886],"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":[0.000161314,0.00011273826,0.0005678862,0.00021654944,0.0001559051,0.00024033425,0.00019593615,0.26404592,0.0006403866,0.6913328,0.004078564,0.038251683],"study_design_scores_gemma":[0.000090913956,0.000025935891,0.00009379738,0.000050207935,0.000028970962,0.000029469738,0.00001963559,0.4997092,0.00033523727,0.4979851,0.0016020945,0.000029578674],"about_ca_topic_score_codex":0.0023471217,"about_ca_topic_score_gemma":0.0028382486,"teacher_disagreement_score":0.013548499,"about_ca_system_score_codex":0.0012146559,"about_ca_system_score_gemma":0.003147481,"threshold_uncertainty_score":0.071652114},"labels":[],"label_agreement":null},{"id":"W4308624693","doi":"10.1007/s11294-022-09857-4","title":"Economic Growth and Female Employment across Sectors","year":2022,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Economics; Labour economics; Economic sector; Economy","score_opus":0.0575598531670512,"score_gpt":0.3772177415712485,"score_spread":0.3196578884041973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308624693","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":[0.9855317,0.0023627155,0.00027484252,0.0031339475,0.000046715806,0.0000045868615,0.00052623847,0.00000502836,0.00811414],"genre_scores_gemma":[0.9982133,0.00041520482,0.000019241195,0.0000675638,0.00005278958,0.000002296826,0.00016380368,0.0000024812168,0.0010634089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939215,0.00013694634,0.000026231106,0.00006653133,0.00006690367,0.00031118514],"domain_scores_gemma":[0.9972264,0.00087083416,0.00073194085,0.00011348804,0.00024762738,0.00080965785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010223215,0.00020239614,0.00038580055,0.0015166771,0.00085825345,0.0016336256,0.00030529595,0.0005565372,0.007933541],"category_scores_gemma":[0.0037707263,0.00012573253,0.00030516906,0.002744381,0.0010022054,0.0016089244,0.0018842447,0.00091530156,0.0006822896],"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":[0.00029154573,0.00013075265,0.96673566,0.000030410138,0.000103225255,0.00018552427,0.0018020582,0.0010329162,0.00028188998,0.011474882,0.0014416005,0.016489506],"study_design_scores_gemma":[0.000011505368,0.00005176717,0.9847453,0.000051257146,0.000026912936,0.00009244536,0.00455076,0.00095577486,0.00009030301,0.006557612,0.0028587526,0.000007570487],"about_ca_topic_score_codex":0.014824453,"about_ca_topic_score_gemma":0.017968094,"teacher_disagreement_score":0.014824453,"about_ca_system_score_codex":0.00074389606,"about_ca_system_score_gemma":0.00054309267,"threshold_uncertainty_score":0.029476345},"labels":[],"label_agreement":null},{"id":"W4385635138","doi":"10.1007/s11294-023-09874-x","title":"Applying the Lorenz Curve and Gini Coefficient to Measure the Population Distribution","year":2023,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of New Brunswick","funders":"","keywords":"Gini coefficient; Population; Lorenz curve; Metropolitan area; Urban agglomeration; Geography; Distribution (mathematics); Census; Population growth; Economics; Economic geography; Inequality; Suburbanization; Demographic economics; Economic inequality; Demography","score_opus":0.09098826563523421,"score_gpt":0.3590454261462697,"score_spread":0.2680571605110355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385635138","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":[0.13035919,0.0033209082,0.8104131,0.00177547,0.00058386335,0.00017059056,0.0042439066,0.0014440224,0.047688853],"genre_scores_gemma":[0.9079838,0.0020137315,0.08051905,0.0002206456,0.0003295297,0.00016806542,0.0023933398,0.0003327905,0.006039112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99847347,0.0006000906,0.000070546776,0.00028936838,0.0004280631,0.00013844011],"domain_scores_gemma":[0.99730825,0.0011032085,0.00043754643,0.0004011145,0.0006352654,0.0001147332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024475395,0.000651484,0.0007437847,0.0076535447,0.0005919467,0.0019569509,0.0006998322,0.00071609963,0.0033293164],"category_scores_gemma":[0.016145047,0.00018973569,0.0010736268,0.0062549342,0.0010096946,0.002980235,0.0017834615,0.0012081458,0.0011685041],"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":[0.00012455079,0.000103792125,0.13217694,0.00032880105,0.00046232514,0.0003324574,0.0009974639,0.13689938,0.0021578246,0.36170453,0.022656105,0.34205583],"study_design_scores_gemma":[0.00002591093,0.00013671542,0.07923233,0.00016986979,0.00013462511,0.0009837898,0.0009776729,0.39098635,0.0025422797,0.4627982,0.061800808,0.00021150598],"about_ca_topic_score_codex":0.011974755,"about_ca_topic_score_gemma":0.006327965,"teacher_disagreement_score":0.011974755,"about_ca_system_score_codex":0.0014288484,"about_ca_system_score_gemma":0.00081670657,"threshold_uncertainty_score":0.023810089},"labels":[],"label_agreement":null},{"id":"W4391822521","doi":"10.1007/s11294-024-09889-y","title":"To Dip or Not to Dip? A Comment on Kyer and Maggs (2019)","year":2024,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recession; Business cycle; Sample (material); Economics; Quarter (Canadian coin); Gross domestic product; Feature (linguistics); Keynesian economics; Macroeconomics; History; Linguistics; Physics","score_opus":0.20082068146399965,"score_gpt":0.4341506177090227,"score_spread":0.23332993624502305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391822521","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001502979,0.0012840157,0.000055707955,0.97708446,0.020438612,0.000007295804,0.00009478556,0.000014839984,0.00087012106],"genre_scores_gemma":[0.00046403141,0.00023491145,0.00003823124,0.99209154,0.0056768283,0.0000131825345,0.000011139377,0.000010400692,0.0014596824],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98382634,0.0027886133,0.0018078333,0.0032753213,0.004262578,0.004039232],"domain_scores_gemma":[0.95538825,0.025924837,0.0037111123,0.001312506,0.008189136,0.0054741837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017738352,0.0020172219,0.0029807847,0.0021639604,0.014051579,0.014223843,0.008302161,0.18426035,0.016689593],"category_scores_gemma":[0.08408328,0.0023368997,0.004250983,0.0036353094,0.013571428,0.013249216,0.010575536,0.13706438,0.01358615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033006283,0.000010060466,0.0001974691,0.000061044106,0.000017754177,0.00013835983,0.00058801664,0.000024768231,0.000070153204,0.0046945247,0.9922765,0.0018884883],"study_design_scores_gemma":[0.00013239171,0.000044312186,0.002515096,0.0012355031,0.000105145285,0.00027100794,0.0031710956,0.00013248746,0.00038022257,0.016727291,0.97505856,0.00022685772],"about_ca_topic_score_codex":0.11149266,"about_ca_topic_score_gemma":0.15292393,"teacher_disagreement_score":0.18426035,"about_ca_system_score_codex":0.011602917,"about_ca_system_score_gemma":0.03127494,"threshold_uncertainty_score":0.22168744},"labels":[],"label_agreement":null},{"id":"W4393161830","doi":"10.1007/s11294-024-09893-2","title":"ESG Performance and Corporate Bond Volatility","year":2024,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Volatility (finance); Economics; Corporate bond; Bond; Monetary economics; Financial economics; Financial system; Business; Finance","score_opus":0.06368286974716345,"score_gpt":0.3368643905467993,"score_spread":0.27318152079963587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393161830","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":[0.9906082,0.00037015224,0.00023161028,0.0006989111,0.000031046085,0.000003401734,0.00030083535,0.000025428473,0.0077303518],"genre_scores_gemma":[0.998061,0.00010673261,0.000037351187,0.000040419633,0.00003248744,9.5104923e-7,0.00026516351,0.00000915744,0.001446634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975556,0.000060146373,0.00002135625,0.0000248673,0.000063486536,0.00007454896],"domain_scores_gemma":[0.99572587,0.0011512234,0.0014002594,0.00019616999,0.0006139875,0.00091237656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010765786,0.00019972379,0.00015592332,0.0007116907,0.0002109277,0.0020478491,0.00019011761,0.0011616799,0.003854477],"category_scores_gemma":[0.0067088404,0.00006839358,0.00014244992,0.00093834795,0.0003845158,0.0010109931,0.00061609835,0.00082281866,0.0011918832],"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":[0.0013645607,0.00033212674,0.92903477,0.000044781023,0.0001511534,0.000640702,0.00054670725,0.012511498,0.004837788,0.013423154,0.0050079958,0.032104835],"study_design_scores_gemma":[0.000022466727,0.00031906043,0.9752237,0.000028547132,0.000050517945,0.00026261617,0.0007633782,0.009609849,0.0013108664,0.0082094995,0.004182353,0.00001714386],"about_ca_topic_score_codex":0.0022567746,"about_ca_topic_score_gemma":0.0020050807,"teacher_disagreement_score":0.003854477,"about_ca_system_score_codex":0.0005944176,"about_ca_system_score_gemma":0.00018683136,"threshold_uncertainty_score":0.012894511},"labels":[],"label_agreement":null},{"id":"W4403836662","doi":"10.1007/s11294-024-09919-9","title":"Parametric Population Volatility: The Role of Educational Attainment","year":2024,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Economics; Volatility (finance); Econometrics; Parametric statistics; Population; Educational attainment; Financial economics; Mathematics; Statistics; Demography; Sociology; Economic growth","score_opus":0.08216582716997445,"score_gpt":0.5893100356962574,"score_spread":0.507144208526283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403836662","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":[0.9096081,0.0033226795,0.05295276,0.013948493,0.00041356817,0.000039075214,0.00081387913,0.000398479,0.018502917],"genre_scores_gemma":[0.9965084,0.0003664804,0.00038167636,0.00015420259,0.00012303743,0.000005309955,0.00007622386,0.000031988453,0.002352622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9982828,0.0008136886,0.000047422378,0.0002821765,0.00018046368,0.00039357448],"domain_scores_gemma":[0.9549354,0.034211393,0.004924954,0.0026782725,0.001204659,0.0020453236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047215205,0.0005136004,0.0011214841,0.0009357558,0.0006247983,0.0038975114,0.0013979945,0.0020560238,0.0070937276],"category_scores_gemma":[0.04848348,0.000365171,0.000979047,0.0010966461,0.0027927333,0.003009595,0.002174159,0.004066552,0.0006215628],"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":[0.00067989697,0.00041924027,0.36468172,0.0001936162,0.00096823345,0.0022039674,0.0018529494,0.16676699,0.0016527352,0.37307394,0.01619137,0.071315385],"study_design_scores_gemma":[0.00007790231,0.00029982062,0.1891531,0.00013075591,0.0004329114,0.0009767911,0.0029187012,0.5291236,0.0008709037,0.2702846,0.0055029113,0.0002279294],"about_ca_topic_score_codex":0.011387141,"about_ca_topic_score_gemma":0.0054206545,"teacher_disagreement_score":0.011387141,"about_ca_system_score_codex":0.0007924447,"about_ca_system_score_gemma":0.0008842318,"threshold_uncertainty_score":0.024970114},"labels":[],"label_agreement":null},{"id":"W4404310449","doi":"10.1007/s11294-024-09922-0","title":"Corporate Social Responsibility, Data Breach Disclosures and Firm Stock Performance","year":2024,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; McMaster University","funders":"","keywords":"Corporate social responsibility; Accounting; Business; Stock (firearms); Data breach; Public relations; Political science; Computer security; Computer science; Engineering","score_opus":0.4887574068900717,"score_gpt":0.553403500612073,"score_spread":0.06464609372200131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404310449","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":[0.98467225,0.00066796783,0.00052495336,0.006775298,0.00004917736,0.000011788483,0.00017063801,0.000014629717,0.0071132067],"genre_scores_gemma":[0.999073,0.00008549231,0.000035740337,0.00009820662,0.00003841292,0.0000023540842,0.000039677052,0.0000018076987,0.0006252771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968231,0.0014637222,0.0002664496,0.00022304202,0.0007271144,0.00049665815],"domain_scores_gemma":[0.81122166,0.08177833,0.08522932,0.004830384,0.0068079615,0.010132367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007503735,0.00018791977,0.00022562277,0.0011669596,0.0007735603,0.004065472,0.0004951408,0.0019928964,0.004927923],"category_scores_gemma":[0.06128991,0.00015128957,0.00026059657,0.0011701381,0.0015982784,0.0026390662,0.0015306263,0.0025861533,0.0005178151],"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":[0.00036849867,0.0008770514,0.97107655,0.000037362177,0.00023440298,0.00015244009,0.0008968107,0.0022096853,0.00027902488,0.005385051,0.002017094,0.016466025],"study_design_scores_gemma":[0.000046694964,0.0003621758,0.9655762,0.00007583433,0.00011861755,0.00012851278,0.003733918,0.00686694,0.00053409906,0.01961251,0.0028876397,0.0000568684],"about_ca_topic_score_codex":0.0047897566,"about_ca_topic_score_gemma":0.0061669047,"teacher_disagreement_score":0.007503735,"about_ca_system_score_codex":0.0011350801,"about_ca_system_score_gemma":0.001390795,"threshold_uncertainty_score":0.039683998},"labels":[],"label_agreement":null},{"id":"W4416061578","doi":"10.1007/s11294-025-09939-z","title":"NHL Attendance Differences Across the Border: United States Versus Canada","year":2025,"lang":"en","type":"article","venue":"International Advances in Economic Research","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"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":"Attendance; MEDLINE","score_opus":0.057191268040287076,"score_gpt":0.4002395925532466,"score_spread":0.3430483245129595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416061578","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":[0.9879275,0.0005255263,0.00019501617,0.00096123194,0.000023435789,0.000012872662,0.0040161316,0.000014292371,0.0063240705],"genre_scores_gemma":[0.9948354,0.00024158605,0.000074176765,0.00016414357,0.0000051746974,0.0000035665203,0.0025037478,0.000005382425,0.002166876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937576,0.000050981616,0.000017168602,0.00012045439,0.00013973872,0.00029593272],"domain_scores_gemma":[0.9982204,0.00020266898,0.00033687876,0.00005372396,0.0005953436,0.00059102924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003988,0.00020678948,0.0004074785,0.0009289406,0.0016783088,0.0016298464,0.00063318334,0.00043384876,0.0049955156],"category_scores_gemma":[0.0017397262,0.0001893466,0.00060977315,0.002532118,0.00057994795,0.0004836711,0.0008329291,0.0009425131,0.00030864982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017849973,0.00007932391,0.9857007,0.000019556937,0.00016242529,0.00012805092,0.000773097,0.001269798,0.00031473604,0.001818124,0.004321445,0.005234223],"study_design_scores_gemma":[0.000020500484,0.000025063066,0.9903348,0.000042895495,0.00010191319,0.00003454605,0.003494279,0.002707042,0.00016699302,0.0001922463,0.0028580478,0.00002170867],"about_ca_topic_score_codex":0.9921291,"about_ca_topic_score_gemma":0.99473697,"teacher_disagreement_score":0.009286008,"about_ca_system_score_codex":0.009286008,"about_ca_system_score_gemma":0.012241702,"threshold_uncertainty_score":0.067374945},"labels":[],"label_agreement":null}]}